CN118141342A - Physiological health monitoring and environment monitoring and early warning method for deep foundation pit construction workers - Google Patents

Physiological health monitoring and environment monitoring and early warning method for deep foundation pit construction workers Download PDF

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CN118141342A
CN118141342A CN202410114920.XA CN202410114920A CN118141342A CN 118141342 A CN118141342 A CN 118141342A CN 202410114920 A CN202410114920 A CN 202410114920A CN 118141342 A CN118141342 A CN 118141342A
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data
physiological
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foundation pit
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廖龙辉
陈剑平
武妍池
熊真
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Shenzhen University
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Shenzhen University
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Abstract

The invention discloses a physiological health monitoring and environmental monitoring and early warning method for deep foundation pit construction workers, which comprises the following steps: acquiring historical physiological index information, various index data of historical air and historical foundation pit support structure data, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data; performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of constructors; performing linear analysis processing on all index data of the historical air according to the overall physiological health index to obtain a target threshold range of all index data of the historical air; and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt. The invention effectively ensures the normal construction of the deep foundation pit and the personal safety of constructors.

Description

Physiological health monitoring and environment monitoring and early warning method for deep foundation pit construction workers
Technical Field
The invention relates to the technical field of data monitoring, in particular to a physiological health monitoring and environment monitoring and early warning method, system, terminal and computer readable storage medium for deep foundation pit construction workers.
Background
The deep foundation pit excavation risk is extremely high, and in order to ensure that all work of deep foundation pit excavation is orderly carried out, safety risk management and control work of site construction is needed, and the deep foundation pit excavation is started from various aspects such as all physiological indexes of constructors, site environment and the like.
However, the traditional deep foundation pit construction safety monitoring technology adopts simple video monitoring and a small amount of sensors, such as a worker wearable device to collect various physiological data of the worker, and an environment monitoring system can detect specific environment parameters or detect various structural deformation indexes through a structural health detection system, but the technology monitoring functions are relatively independent and single, and cannot realize comprehensive and accurate intelligent monitoring on construction environment and worker states, so that abnormal condition early warning in the deep foundation pit excavation process is not timely caused, and normal excavation work of the deep foundation pit and life safety of constructors are affected.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
The invention mainly aims to provide a physiological health monitoring and environment monitoring early warning method, system, terminal and computer readable storage medium for deep foundation pit construction workers, and aims to solve the problems that in the prior art, the comprehensive and accurate intelligent monitoring of the deep foundation pit construction environment and the worker state cannot be realized, so that abnormal conditions in the deep foundation pit excavation process are not early warned timely, and the normal excavation work of the deep foundation pit and the life safety of constructors are influenced.
In order to achieve the above purpose, the invention provides a physiological health monitoring and environmental monitoring and early warning method for deep foundation pit construction workers, which comprises the following steps:
Acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit;
performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor;
Performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air;
and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt.
Optionally, the method for monitoring physiological health and monitoring environment of deep foundation pit construction workers includes the steps of obtaining historical physiological index information of construction workers and historical environment information of the deep foundation pit, preprocessing the historical physiological index information according to preset requirements, and obtaining historical physiological parameter data, wherein the method specifically comprises the following steps:
acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and setting a preset physiological parameter threshold corresponding to each physiological parameter in the historical physiological index information;
Comparing each physiological parameter in the historical physiological index information with a corresponding preset physiological parameter threshold value, and deleting the physiological parameter exceeding the preset physiological parameter threshold value in the historical physiological index information to obtain the historical physiological parameter data.
Optionally, the method for monitoring physiological health and early warning environmental monitoring of deep foundation pit construction workers includes the steps of performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the construction workers, and specifically includes:
performing data standardization processing on the historical physiological parameter data to obtain standardized physiological parameter data, wherein a calculation formula of the data standardization processing is as follows: (x-mu)/sigma, wherein x is historical physiological parameter data corresponding to each constructor, mu is the average value of all constructors in the historical physiological parameter data under any physiological index, and sigma is the standard deviation of all constructors in the historical physiological parameter data under any physiological index;
Constructing a standardized matrix according to the standardized physiological parameter data, and obtaining a corresponding correlation coefficient matrix according to the standardized matrix;
Acquiring a plurality of eigenvalues and a plurality of corresponding eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multi-element linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and the eigenvectors;
And determining the value corresponding to the common factor according to the historical physiological parameter data and the polynary linear relation equation, and calculating to obtain the overall physiological health index according to the value corresponding to the common factor and the distribution weight of the common factor in the historical physiological parameter data.
Optionally, the method for monitoring physiological health and early warning environmental monitoring of deep foundation pit construction workers includes constructing a standardized matrix according to the standardized physiological parameter data, and obtaining a corresponding correlation coefficient matrix according to the standardized matrix, wherein the method specifically includes:
Acquiring the number of constructors corresponding to the historical physiological parameter data, and constructing a standardized matrix according to the number of constructors and the standardized physiological parameter data;
Calculating covariance and standard deviation corresponding to different physiological index parameters in the standardized matrix, and obtaining the correlation coefficient matrix according to the covariance and the standard deviation, wherein a calculation formula of the correlation coefficient matrix is as follows: ρ (X1, X2) =cov (X1, X2)/(σx1σx2), wherein X1 and X2 represent different physiological index parameters, ρ (X1, X2) is a correlation coefficient matrix, COV (X1, X2) is a covariance of the different physiological index parameters, and σx1σx2 is a standard deviation of the different physiological index parameters.
Optionally, the method for monitoring physiological health of deep foundation pit construction workers and monitoring and early warning environment includes the steps of obtaining a plurality of eigenvalues and a plurality of eigenvectors corresponding to the eigenvalues and the eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multiple linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and the eigenvectors, wherein the multiple linear relation equation specifically includes:
Acquiring a plurality of characteristic values and a plurality of corresponding characteristic vectors in the correlation coefficient matrix, arranging the characteristic values in sequence from large to small, and obtaining the target number of the common factors when the characteristic values meet a preset condition;
Extracting the characteristic values of the target number in a plurality of characteristic values from large to small, constructing a load matrix according to the characteristic values of the target number, and obtaining the multi-element linear relation equation between each common factor and the historical physiological parameter data according to the load matrix.
Optionally, in the deep foundation pit construction worker physiological health monitoring and environmental monitoring early warning method, the linear analysis processing is performed on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air, and the method specifically includes:
Performing linear analysis processing on the various index data of the historical air according to the overall physiological health index to obtain a functional relation between the various index data of the historical air and the overall physiological health index, wherein the expression of the functional relation is as follows: yi=kθ+b, where Yi is any one air index data of the historical air, θ is an overall physiological health parameter corresponding to each constructor, and k and b are constants in the functional relationship;
and determining a target threshold range corresponding to each index data of the historical air according to the overall physiological health index and the functional relation.
Optionally, in the deep foundation pit construction worker physiological health monitoring and environment monitoring early warning method, the current environment data comprises various index data of current air and current foundation pit support structure data; the step of acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out a safety alarm prompt, wherein the safety alarm prompt specifically comprises:
acquiring the current physiological parameter data, the current air index data and the current foundation pit support structure data, and setting a preset foundation pit support structure threshold according to the historical foundation pit support structure data;
If any physiological parameter in the current physiological parameter data is larger than a corresponding preset physiological parameter threshold value, judging that the current physiological parameter data is abnormal, and carrying out safety alarm prompt;
If any air index in the current air index data is larger than the corresponding target threshold range, judging that the current air index data is abnormal, and carrying out safety alarm prompt;
If any foundation pit support structure parameter in the current foundation pit support structure data is larger than a corresponding preset foundation pit support structure threshold value, judging that the current foundation pit support structure data is abnormal, and carrying out safety warning prompt.
In addition, in order to achieve the above purpose, the invention also provides a physiological health monitoring and environmental monitoring and early warning system for deep foundation pit construction workers, wherein the physiological health monitoring and environmental monitoring and early warning system for deep foundation pit construction workers comprises:
The historical data acquisition module is used for acquiring historical physiological index information of constructors and historical environment information of the deep foundation pit, preprocessing the historical physiological index information according to preset requirements and obtaining historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of an enclosure structure of the historical foundation pit;
The historical data processing module is used for carrying out data processing on the historical physiological parameter data according to a factor analysis method to obtain the overall physiological health index of the constructor;
The air index range determining module is used for carrying out linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air;
The data abnormality warning module is used for acquiring current physiological parameter data and current environment data, and carrying out safety warning prompt if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range.
In addition, to achieve the above object, the present invention also provides a terminal, wherein the terminal includes: the system comprises a memory, a processor and a deep foundation pit construction worker physiological health monitoring and environment monitoring early warning program which is stored in the memory and can run on the processor, wherein the deep foundation pit construction worker physiological health monitoring and environment monitoring early warning program is executed by the processor to realize the steps of the deep foundation pit construction worker physiological health monitoring and environment monitoring early warning method.
In addition, in order to achieve the above object, the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a physiological health monitoring and environmental monitoring and early warning program for a deep foundation pit construction worker, and the physiological health monitoring and environmental monitoring and early warning program for the deep foundation pit construction worker realizes the steps of the physiological health monitoring and environmental monitoring and early warning method for the deep foundation pit construction worker when being executed by a processor.
According to the method, historical physiological index information of constructors and historical environment information of a deep foundation pit are obtained, the historical physiological index information is preprocessed according to preset requirements, and historical physiological parameter data are obtained, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit; performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor; performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air; and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt. According to the invention, the physiological index data and the environment data of constructors in the deep foundation pit excavation process are obtained, the physiological index data and the environment data are combined, and the linear relation between the physiological index data and the environment data is constructed, so that dynamic linkage monitoring of workers, environments and structures is realized. The generation of abnormal data can be monitored more rapidly and accurately, and early warning prompt is carried out timely, so that the normal construction of the deep foundation pit and the personal safety of constructors are effectively ensured.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the method for monitoring physiological health and pre-warning environmental monitoring of deep foundation pit construction workers according to the present invention;
FIG. 2 is a flowchart of the overall implementation of the preferred embodiment of the method for physiological health monitoring and environmental monitoring and early warning of deep foundation pit construction workers according to the present invention;
FIG. 3 is a block diagram of a preferred embodiment of the physiological health monitoring and environmental monitoring and warning system of the deep foundation pit construction worker of the present invention;
Fig. 4 is a block diagram of a preferred embodiment of the terminal of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The deep foundation pit excavation risk is extremely high, and in order to ensure that all work of deep foundation pit excavation is orderly carried out, safety risk management and control work of site construction is needed, and the deep foundation pit excavation is started from various aspects such as all physiological indexes of constructors, site environment and the like. For example, various environmental parameters, structural deformation parameters and the like, and a physiological health monitoring and environmental monitoring and early warning system for deep foundation pit construction workers with multi-source information fusion is formed. However, the traditional deep foundation pit construction safety monitoring technology adopts simple video monitoring and a small number of sensors, and cannot realize comprehensive intelligent monitoring of construction environment and worker state. The method is lack of effective fusion utilization of multi-source data, and a monitoring blind area exists.
In the prior art, although a manner of acquiring various physiological data of a worker by using a wearable device of the worker exists, an effective utilization method is lacked, and application limitation exists. But if the device is embedded into the invention and fully utilized in combination with other field environment data, the device is also greatly popularized and utilized. Existing environmental monitoring systems generally detect specific environmental parameters, but are relatively independent in function and insufficient to support systematic security management. The existing structural health detection system can accurately detect deformation indexes of various structures, but the functions are relatively independent, and the structural health detection system is not relevant to construction site workers and environment detection and is not timely enough in early warning response.
Aiming at the problems, the invention provides a physiological health monitoring and environment monitoring and early warning method for deep foundation pit construction workers with multisource information fusion.
The physiological health monitoring and environmental monitoring and early warning method for the deep foundation pit construction workers according to the preferred embodiment of the invention, as shown in fig. 1, comprises the following steps:
Step S10, acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit.
As shown in fig. 2, the system consists of a worker physiological health monitoring module, an environment monitoring module, a server and a mobile monitoring end, wherein the worker physiological health monitoring module detects and collects various physiological parameters of workers, and is provided with indexes such as heart rate, blood pressure, blood oxygen concentration, body temperature, blood glucose concentration and the like; the environment monitoring module detects and collects various indexes of a construction site, and because the scene aimed by the invention is a deep foundation pit excavation scene, the space is relatively airtight and noisy, and therefore, the collected environment information comprises various indexes of air and various index parameters of the foundation pit enclosure, wherein the various indexes of air comprise air temperature and humidity, concentration of toxic gas (such as methane), concentration of carbon dioxide, noise decibel value and the like, and the various index parameters of the foundation pit enclosure comprise deformation value and inclination of an enclosure strain sheet, earth surface subsidence value, water pressure detection and the like.
Specifically, historical physiological index information of constructors and historical environment information of a deep foundation pit are obtained, and a preset physiological parameter threshold corresponding to each physiological parameter in the historical physiological index information is set; comparing each physiological parameter in the historical physiological index information with a corresponding preset physiological parameter threshold value, and deleting the physiological parameter exceeding the preset physiological parameter threshold value in the historical physiological index information to obtain the historical physiological parameter data.
The various monitoring values are transmitted back to the server through Bluetooth, the server collects information of each detection terminal, and the collected data are processed according to a set method.
The data processing mode is as follows: in the aspect of physiological index parameters of workers, firstly, the safety threshold values of all preset physiological parameters of the workers are combined, if a certain physiological index exceeds the threshold value, an alarm function is immediately triggered, and the workers are informed to carry out corresponding relieving measures through voice broadcast of physiological health detection equipment worn along with sound. For example: if the blood sugar concentration is too low, the report informs the worker to stop resting immediately and supplement sugar, and the risk is sent to the mobile monitoring terminal to remind the on-site manager.
The invention is composed of a worker physiological health monitoring module, an environment monitoring module, a server and a mobile monitoring end, and the functions of the functional modules are as follows:
the physiological health monitoring module of the worker: the physiological health monitoring module of the worker adopts wearable devices such as an intelligent bracelet or an intelligent helmet, is internally provided with measuring sensors such as heart rate, blood pressure, blood oxygen concentration, body temperature, blood sugar concentration, position and the like, periodically collects various physiological parameters and positioning information of the worker, and uploads the physiological parameters and positioning information to a server through a wireless network. The safety threshold set in the server can be personalized with small adjustments due to differences in the physiological health parameters of each individual.
And the environment monitoring module is used for: the environment monitoring terminal is externally connected with temperature and humidity detection, toxic gas concentration detection, noise detection sensors, sensors for deformation value detection, inclination value detection (inclination is obtained through sensor measurement), ground surface settlement value detection, water pressure detection and the like of the strain gauge of the building envelope, various environment parameters and structural deformation are monitored in real time, and each sensor is provided with position information and is uploaded to a server through a wireless network.
And (3) a server: the server collects information of each monitoring module to conduct centralized information processing, the processed data are transmitted to the mobile monitoring end in real time, and meanwhile, the safety threshold of normal physiological health parameters of workers and the safety threshold of various indexes of environmental monitoring are combined, whether physiological parameters of the workers are abnormal or not and whether dangerous factors exist in the environment or not are judged, and once the abnormal data are detected, an alarm is triggered immediately and is transmitted to the monitoring end.
And (3) a mobile monitoring terminal: the mobile monitoring end is operated by a field manager, and can check and call out physiological health parameters, overall physiological health indexes and environmental parameters of each worker at any time. When abnormal data is received, an alarm can be directly triggered to carry out field warning, if the physiological parameters of workers exceed a threshold value, the mobile monitoring end can display specific position information of the workers, and the construction field management is facilitated.
And step S20, performing data processing on the historical physiological parameter data according to a factor analysis method to obtain the overall physiological health index of the constructor.
If all the physiological index parameters of the worker do not exceed the preset threshold range, further data processing is carried out by combining a factor analysis method in multivariate statistical analysis to obtain the real-time overall physiological health index of the worker.
Specifically, data standardization processing is performed on the historical physiological parameter data to obtain standardized physiological parameter data, wherein a calculation formula of the data standardization processing is as follows: (x-mu)/sigma, wherein x is historical physiological parameter data corresponding to each constructor, mu is the average value of all constructors in the historical physiological parameter data under any physiological index, and sigma is the standard deviation of all constructors in the historical physiological parameter data under any physiological index.
Acquiring the number of constructors corresponding to the historical physiological parameter data, and constructing a standardized matrix according to the number of constructors and the standardized physiological parameter data; calculating covariance and standard deviation corresponding to different physiological index parameters in the standardized matrix, and obtaining the correlation coefficient matrix according to the covariance and the standard deviation, wherein a calculation formula of the correlation coefficient matrix is as follows: ρ (X1, X2) =cov (X1, X2)/(σx1σx2), wherein X1 and X2 represent different physiological index parameters, ρ (X1, X2) is a correlation coefficient matrix, COV (X1, X2) is a covariance of the different physiological index parameters, and σx1σx2 is a standard deviation of the different physiological index parameters.
And filling in each physiological index parameter of each worker according to the standardized physiological indexes of each worker, taking the number of workers as the number of lines, combining each physiological index parameter of each worker into a matrix, wherein a ij represents the value of the j physiological index of the i worker after data standardization, and then obtaining a corresponding correlation coefficient matrix according to the standardized matrix. Meanwhile, covariances of different physiological index parameters satisfy COV (X1, X2) =e [ X1- μx1) (X2- μx2) ], where E is the desired calculation.
Acquiring a plurality of characteristic values and a plurality of corresponding characteristic vectors in the correlation coefficient matrix, arranging the characteristic values in sequence from large to small, and obtaining the target number of the common factors when the characteristic values meet a preset condition; extracting the characteristic values of the target number in a plurality of characteristic values from large to small, constructing a load matrix according to the characteristic values of the target number, and obtaining the multi-element linear relation equation between each common factor and the historical physiological parameter data according to the load matrix. And determining the value corresponding to the common factor according to the historical physiological parameter data and the polynary linear relation equation, and calculating to obtain the overall physiological health index according to the value corresponding to the common factor and the distribution weight of the common factor in the historical physiological parameter data.
Then, each eigenvalue lambda i and corresponding eigenvector e i＝[ai1,ai2,ai3,ai4,ai5 of the correlation coefficient matrix are calculated, the eigenvalues obtained by calculation are ordered from big to small, and the correlation coefficient matrix is calculatedWhen the value of m is the number of the determined common factors F, the eigenvectors corresponding to the first m eigenvalues are multiplied by/>The matrix is a load matrix, and a multi-element linear relation equation F i＝ai1X1+ai2X2+…+ai5X5 between each common factor F and each physiological index of the worker can be obtained by the load matrix, so that the linear relation equation can be substituted into each physiological index parameter of the worker to obtain the value of each common factor F i. Also, since the variance contribution degree of each common factor to the overall sample is different and the contribution degree is the corresponding characteristic value, the distribution weight of each common factor to the overall physiological health parameter is equal toThe final overall physiological health parameter is/>And the value range of theta can be obtained through actual measurement of a large number of workers, so that a foundation is provided for subsequent air index threshold control.
And step S30, performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air.
Specifically, linear analysis processing is performed on each index data of the historical air according to the overall physiological health index to obtain a functional relation between each index data of the historical air and the overall physiological health index, wherein the expression of the functional relation is as follows: yi=kθ+b, where Yi is any one air index data of the historical air, θ is an overall physiological health parameter corresponding to each constructor, and k and b are constants in the functional relationship; and determining a target threshold range corresponding to each index data of the historical air according to the overall physiological health index and the functional relation.
And (3) respectively carrying out unitary linear regression analysis on the calculated overall physiological health indexes of the workers at a plurality of moments and each air index in the environment monitoring module so as to obtain a functional relation between each air index and the overall physiological health index, and providing a corresponding threshold control range reference value for each air index in the current construction environment by combining the physiological health parameters of the workers obtained by the previous data processing through the functional relation, wherein if a certain index exceeds a corresponding threshold, an alarm is triggered and sent to a mobile monitoring terminal to remind a site manager.
And S40, acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt.
Specifically, the current physiological parameter data, the current air index data and the current foundation pit support structure data are obtained, and a preset foundation pit support structure threshold value is set according to the historical foundation pit support structure data; if any physiological parameter in the current physiological parameter data is larger than a corresponding preset physiological parameter threshold value, judging that the current physiological parameter data is abnormal, and carrying out safety alarm prompt; if any air index in the current air index data is larger than the corresponding target threshold range, judging that the current air index data is abnormal, and carrying out safety alarm prompt; if any foundation pit support structure parameter in the current foundation pit support structure data is larger than a corresponding preset foundation pit support structure threshold value, judging that the current foundation pit support structure data is abnormal, and carrying out safety warning prompt.
Meanwhile, all the index parameters of the foundation pit support structure are set with all the thresholds according to engineering safety requirements, and if a certain index exceeds the corresponding threshold, an alarm is triggered and sent to the mobile monitoring terminal to remind field management personnel.
In addition, the threshold values of the parameters set in the invention are not fixed, but can be dynamically adjusted; in the setting of each threshold value, the invention can carry out the following personalized adjustment according to different individuals in different scenes:
1. Adjustment of worker physiological health parameter thresholds: the normal physiological parameter ranges of workers with different ages and sexes under various labor intensity conditions are determined through investigation and research, so that the physiological parameter threshold values of the workers arranged in the system are more scientific and reasonable.
2. Adjusting the parameter threshold value of each index of air: the environment is set in the deep foundation pit excavation environment, so that the proper environment parameter safety threshold standard is selected according to the temperature and humidity, noise, toxic gas and other parameter characteristics of the construction environment and by combining all air index parameters obtained after data processing, and the adjustment tolerance range is considered.
3. Adjustment of structural deformation threshold: according to the foundation pit soil conditions of different construction projects (for example, the soil conditions of each deep foundation pit excavation project are different, possibly the soil layer of the project is clay, other projects are sandy soil and the like, and support designs corresponding to different conditions are different), support structure designs and other factors are different, and the design drawing requirements are combined to determine reasonable various structure deformation allowable values and alarm thresholds according to the projects by professional engineering technicians (the design drawing can have the stress allowable values of the support structures and the different thresholds are set according to the drawing design requirements).
4. Adjustment of the adjustable parameter setting interface: an adjustable parameter setting interface is provided in the monitoring end software, so that the threshold values of various parameters are allowed to be adjusted within a certain range, and personalized setting is convenient according to different project requirements.
And finally, periodically organizing professional technicians to maintain and check various parameter thresholds in the system, and timely finding out indexes to be adjusted and optimized to ensure the rationality of parameter setting.
Compared with the prior art, the invention adopts a more systematic and intelligent design thought, and can better meet the safety supervision requirement of complex construction environment.
The technical effects are as follows:
1. The invention adopts the deep fusion of multi-source data to construct a more comprehensive and three-dimensional construction safety monitoring system.
2. The invention sets real-time intelligent analysis and processing to realize dynamic linkage monitoring of workers, environment and structure.
3. The invention can quickly respond and early warn when the monitoring data is abnormal, and improves the safety management level of the construction site.
4. The invention has universality and is easy to expand, and can be suitable for safety monitoring of various high-risk construction environments.
Further, as shown in fig. 3, based on the above-mentioned method for monitoring physiological health of deep foundation pit construction workers and monitoring and early warning environment, the invention further provides a system for monitoring physiological health of deep foundation pit construction workers and monitoring and early warning environment, wherein the system for monitoring physiological health of deep foundation pit construction workers and monitoring and early warning environment comprises:
The historical data acquisition module 51 is configured to acquire historical physiological index information of a constructor and historical environmental information of a deep foundation pit, and pre-process the historical physiological index information according to preset requirements to obtain historical physiological parameter data, where the historical environmental information includes various index data of historical air and data of a surrounding structure of the historical foundation pit;
The historical data processing module 52 is configured to perform data processing on the historical physiological parameter data according to a factor analysis method, so as to obtain an overall physiological health index of the constructor;
The air index range determining module 53 is configured to perform linear analysis processing on the historical air index data according to the overall physiological health index, so as to obtain a target threshold range of the historical air index data;
The data abnormality warning module 54 is configured to obtain current physiological parameter data and current environmental data, and perform a safety warning prompt if the current physiological parameter data is determined to be abnormal according to the preset requirement or the current environmental data is determined to be abnormal according to the target threshold range.
Further, as shown in fig. 4, based on the above-mentioned method and system for monitoring physiological health and early warning environment of deep foundation pit construction workers, the invention further provides a terminal correspondingly, which comprises a processor 10, a memory 20 and a display 30. Fig. 4 shows only some of the components of the terminal, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may alternatively be implemented.
The memory 20 may in some embodiments be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory 20 may in other embodiments also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), etc. Further, the memory 20 may also include both an internal storage unit and an external storage device of the terminal. The memory 20 is used for storing application software installed in the terminal and various data, such as program codes of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 20 stores a physiological health monitoring and environmental monitoring and early warning program 40 of the deep foundation pit construction worker, and the physiological health monitoring and environmental monitoring and early warning program 40 of the deep foundation pit construction worker can be executed by the processor 10, so as to implement the physiological health monitoring and environmental monitoring and early warning method of the deep foundation pit construction worker in the application.
The processor 10 may be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip in some embodiments, for running the program codes or processing data stored in the memory 20, for example, executing the deep foundation pit construction worker physiological health monitoring and environmental monitoring and early warning methods, etc.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is used for displaying information at the terminal and for displaying a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.
In one embodiment, the processor 10 executes the physiological health monitoring and environmental monitoring and early warning program 40 of the deep foundation pit construction worker in the memory 20, and then performs the following steps:
Acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit;
performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor;
Performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air;
and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt.
The method comprises the steps of acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, and specifically comprises the following steps:
acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and setting a preset physiological parameter threshold corresponding to each physiological parameter in the historical physiological index information;
Comparing each physiological parameter in the historical physiological index information with a corresponding preset physiological parameter threshold value, and deleting the physiological parameter exceeding the preset physiological parameter threshold value in the historical physiological index information to obtain the historical physiological parameter data.
The data processing is performed on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor, and the method specifically comprises the following steps:
performing data standardization processing on the historical physiological parameter data to obtain standardized physiological parameter data, wherein a calculation formula of the data standardization processing is as follows: (x-mu)/sigma, wherein x is historical physiological parameter data corresponding to each constructor, mu is the average value of all constructors in the historical physiological parameter data under any physiological index, and sigma is the standard deviation of all constructors in the historical physiological parameter data under any physiological index;
Constructing a standardized matrix according to the standardized physiological parameter data, and obtaining a corresponding correlation coefficient matrix according to the standardized matrix;
Acquiring a plurality of eigenvalues and a plurality of corresponding eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multi-element linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and the eigenvectors;
And determining the value corresponding to the common factor according to the historical physiological parameter data and the polynary linear relation equation, and calculating to obtain the overall physiological health index according to the value corresponding to the common factor and the distribution weight of the common factor in the historical physiological parameter data.
The method comprises the steps of constructing a standardized matrix according to the standardized physiological parameter data, and obtaining a corresponding correlation coefficient matrix according to the standardized matrix, wherein the method specifically comprises the following steps of:
Acquiring the number of constructors corresponding to the historical physiological parameter data, and constructing a standardized matrix according to the number of constructors and the standardized physiological parameter data;
Calculating covariance and standard deviation corresponding to different physiological index parameters in the standardized matrix, and obtaining the correlation coefficient matrix according to the covariance and the standard deviation, wherein a calculation formula of the correlation coefficient matrix is as follows: ρ (X1, X2) =cov (X1, X2)/(σx1σx2), wherein X1 and X2 represent different physiological index parameters, ρ (X1, X2) is a correlation coefficient matrix, COV (X1, X2) is a covariance of the different physiological index parameters, and σx1σx2 is a standard deviation of the different physiological index parameters.
The method specifically includes the steps of obtaining a plurality of eigenvalues and a plurality of eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multi-element linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and the eigenvectors, wherein the multi-element linear relation equation specifically includes:
Acquiring a plurality of characteristic values and a plurality of corresponding characteristic vectors in the correlation coefficient matrix, arranging the characteristic values in sequence from large to small, and obtaining the target number of the common factors when the characteristic values meet a preset condition;
Extracting the characteristic values of the target number in a plurality of characteristic values from large to small, constructing a load matrix according to the characteristic values of the target number, and obtaining the multi-element linear relation equation between each common factor and the historical physiological parameter data according to the load matrix.
The linear analysis processing is performed on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air, and the method specifically comprises the following steps:
Performing linear analysis processing on the various index data of the historical air according to the overall physiological health index to obtain a functional relation between the various index data of the historical air and the overall physiological health index, wherein the expression of the functional relation is as follows: yi=kθ+b, where Yi is any one air index data of the historical air, θ is an overall physiological health parameter corresponding to each constructor, and k and b are constants in the functional relationship;
and determining a target threshold range corresponding to each index data of the historical air according to the overall physiological health index and the functional relation.
The current environment data comprise various index data of current air and current foundation pit support structure data; the step of acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out a safety alarm prompt, wherein the safety alarm prompt specifically comprises:
acquiring the current physiological parameter data, the current air index data and the current foundation pit support structure data, and setting a preset foundation pit support structure threshold according to the historical foundation pit support structure data;
If any physiological parameter in the current physiological parameter data is larger than a corresponding preset physiological parameter threshold value, judging that the current physiological parameter data is abnormal, and carrying out safety alarm prompt;
If any air index in the current air index data is larger than the corresponding target threshold range, judging that the current air index data is abnormal, and carrying out safety alarm prompt;
If any foundation pit support structure parameter in the current foundation pit support structure data is larger than a corresponding preset foundation pit support structure threshold value, judging that the current foundation pit support structure data is abnormal, and carrying out safety warning prompt.
The invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a physiological health monitoring and environment monitoring and early warning program of the deep foundation pit construction worker, and the physiological health monitoring and environment monitoring and early warning program of the deep foundation pit construction worker realizes the steps of the physiological health monitoring and environment monitoring and early warning method of the deep foundation pit construction worker when being executed by a processor.
In summary, the invention provides a physiological health monitoring and environmental monitoring and early warning method for deep foundation pit construction workers and related equipment, wherein the method comprises the following steps: acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit; performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor; performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air; and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt. According to the invention, the physiological index data and the environment data of constructors in the deep foundation pit excavation process are obtained, the physiological index data and the environment data are combined, and the linear relation between the physiological index data and the environment data is constructed, so that dynamic linkage monitoring of workers, environments and structures is realized. The generation of abnormal data can be monitored more rapidly and accurately, and early warning prompt is carried out timely, so that the normal construction of the deep foundation pit and the personal safety of constructors are effectively ensured.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
Of course, those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by a computer program for instructing relevant hardware (e.g., processor, controller, etc.), the program may be stored on a computer readable storage medium, and the program may include the above described methods when executed. The computer readable storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.

Claims (10)

1. The physiological health monitoring and environmental monitoring and early warning method for the deep foundation pit construction workers is characterized by comprising the following steps of:
Acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of a surrounding structure of the historical foundation pit;
performing data processing on the historical physiological parameter data according to a factor analysis method to obtain an overall physiological health index of the constructor;
Performing linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air;
and acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out safety alarm prompt.
2. The method for monitoring physiological health and early warning environment of deep foundation pit construction workers according to claim 1, wherein the method is characterized by obtaining historical physiological index information of construction workers and historical environment information of the deep foundation pit, and preprocessing the historical physiological index information according to preset requirements to obtain historical physiological parameter data, and specifically comprises the following steps:
acquiring historical physiological index information of constructors and historical environment information of a deep foundation pit, and setting a preset physiological parameter threshold corresponding to each physiological parameter in the historical physiological index information;
Comparing each physiological parameter in the historical physiological index information with a corresponding preset physiological parameter threshold value, and deleting the physiological parameter exceeding the preset physiological parameter threshold value in the historical physiological index information to obtain the historical physiological parameter data.
3. The method for monitoring the physiological health and the environmental monitoring and early warning of the deep foundation pit construction worker according to claim 1, wherein the data processing is performed on the historical physiological parameter data according to a factor analysis method to obtain the overall physiological health index of the construction worker, and the method specifically comprises the following steps:
performing data standardization processing on the historical physiological parameter data to obtain standardized physiological parameter data, wherein a calculation formula of the data standardization processing is as follows: (x-mu)/sigma, wherein x is historical physiological parameter data corresponding to each constructor, mu is the average value of all constructors in the historical physiological parameter data under any physiological index, and sigma is the standard deviation of all constructors in the historical physiological parameter data under any physiological index;
Constructing a standardized matrix according to the standardized physiological parameter data, and obtaining a corresponding correlation coefficient matrix according to the standardized matrix;
Acquiring a plurality of eigenvalues and a plurality of corresponding eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multi-element linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and the eigenvectors;
And determining the value corresponding to the common factor according to the historical physiological parameter data and the polynary linear relation equation, and calculating to obtain the overall physiological health index according to the value corresponding to the common factor and the distribution weight of the common factor in the historical physiological parameter data.
4. The method for monitoring physiological health and early warning environment of deep foundation pit construction workers according to claim 3, wherein the method is characterized by constructing a standardized matrix according to the standardized physiological parameter data and obtaining a corresponding correlation coefficient matrix according to the standardized matrix, and specifically comprises the following steps:
Acquiring the number of constructors corresponding to the historical physiological parameter data, and constructing a standardized matrix according to the number of constructors and the standardized physiological parameter data;
Calculating covariance and standard deviation corresponding to different physiological index parameters in the standardized matrix, and obtaining the correlation coefficient matrix according to the covariance and the standard deviation, wherein a calculation formula of the correlation coefficient matrix is as follows: ρ (X1, X2) =cov (X1, X2)/(σx1σx2), wherein X1 and X2 represent different physiological index parameters, ρ (X1, X2) is a correlation coefficient matrix, COV (X1, X2) is a covariance of the different physiological index parameters, and σx1σx2 is a standard deviation of the different physiological index parameters.
5. The method for monitoring physiological health and early warning environment of deep foundation pit construction workers according to claim 3, wherein the steps of obtaining a plurality of eigenvalues and a plurality of eigenvectors corresponding to the eigenvalues and eigenvectors in the correlation coefficient matrix, and determining the number of common factors in the historical physiological parameter data and a multiple linear relation equation between each common factor and the historical physiological parameter data according to the eigenvalues and eigenvectors comprise:
Acquiring a plurality of characteristic values and a plurality of corresponding characteristic vectors in the correlation coefficient matrix, arranging the characteristic values in sequence from large to small, and obtaining the target number of the common factors when the characteristic values meet a preset condition;
Extracting the characteristic values of the target number in a plurality of characteristic values from large to small, constructing a load matrix according to the characteristic values of the target number, and obtaining the multi-element linear relation equation between each common factor and the historical physiological parameter data according to the load matrix.
6. The method for monitoring the physiological health and the environmental monitoring and the early warning of the deep foundation pit construction worker according to claim 1, wherein the linear analysis processing is performed on the various index data of the historical air according to the overall physiological health index to obtain a target threshold range of the various index data of the historical air, and the method specifically comprises the following steps:
Performing linear analysis processing on the various index data of the historical air according to the overall physiological health index to obtain a functional relation between the various index data of the historical air and the overall physiological health index, wherein the expression of the functional relation is as follows: yi=kθ+b, where Yi is any one air index data of the historical air, θ is an overall physiological health parameter corresponding to each constructor, and k and b are constants in the functional relationship;
and determining a target threshold range corresponding to each index data of the historical air according to the overall physiological health index and the functional relation.
7. The method for monitoring physiological health and early warning environmental monitoring of deep foundation pit construction workers according to claim 1, wherein the current environmental data comprises current air index data and current foundation pit support structure data; the step of acquiring current physiological parameter data and current environment data, and if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range, carrying out a safety alarm prompt, wherein the safety alarm prompt specifically comprises:
acquiring the current physiological parameter data, the current air index data and the current foundation pit support structure data, and setting a preset foundation pit support structure threshold according to the historical foundation pit support structure data;
If any physiological parameter in the current physiological parameter data is larger than a corresponding preset physiological parameter threshold value, judging that the current physiological parameter data is abnormal, and carrying out safety alarm prompt;
If any air index in the current air index data is larger than the corresponding target threshold range, judging that the current air index data is abnormal, and carrying out safety alarm prompt;
If any foundation pit support structure parameter in the current foundation pit support structure data is larger than a corresponding preset foundation pit support structure threshold value, judging that the current foundation pit support structure data is abnormal, and carrying out safety warning prompt.
8. The utility model provides a deep basal pit construction workman physiological health monitoring and environmental monitoring early warning system which characterized in that, deep basal pit construction workman physiological health monitoring and environmental monitoring early warning system includes:
The historical data acquisition module is used for acquiring historical physiological index information of constructors and historical environment information of the deep foundation pit, preprocessing the historical physiological index information according to preset requirements and obtaining historical physiological parameter data, wherein the historical environment information comprises various index data of historical air and data of an enclosure structure of the historical foundation pit;
The historical data processing module is used for carrying out data processing on the historical physiological parameter data according to a factor analysis method to obtain the overall physiological health index of the constructor;
The air index range determining module is used for carrying out linear analysis processing on each index data of the historical air according to the overall physiological health index to obtain a target threshold range of each index data of the historical air;
The data abnormality warning module is used for acquiring current physiological parameter data and current environment data, and carrying out safety warning prompt if the current physiological parameter data is judged to be abnormal according to the preset requirement or the current environment data is judged to be abnormal according to the target threshold range.
9. A terminal, the terminal comprising: the method comprises the steps of realizing the physiological health monitoring and environment monitoring and early warning method of the deep foundation pit construction worker according to any one of claims 1-7 when the physiological health monitoring and environment monitoring and early warning program of the deep foundation pit construction worker is executed by the processor.
10. A computer readable storage medium, wherein the computer readable storage medium stores a physiological health monitoring and environmental monitoring and early warning program for a deep foundation pit construction worker, and the physiological health monitoring and environmental monitoring and early warning program for the deep foundation pit construction worker realizes the steps of the physiological health monitoring and environmental monitoring and early warning method for the deep foundation pit construction worker according to any one of claims 1 to 7 when executed by a processor.
CN202410114920.XA 2024-01-25 2024-01-25 Physiological health monitoring and environment monitoring and early warning method for deep foundation pit construction workers Pending CN118141342A (en)

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