CN109368433B - Method and system for analyzing big data of multiple elevators based on Internet of things technology - Google Patents
Method and system for analyzing big data of multiple elevators based on Internet of things technology Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract
The invention provides a method for analyzing big data of multiple elevators based on the internet of things technology, which is used for solving the problems that the analysis of elevator data in the prior art only stops the data acquisition and analysis of a single elevator and can not simultaneously analyze the batch data of multiple elevators, and the method comprises the following steps of S1: receiving a preset component code corresponding to an elevator component to be analyzed; s2: receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed; s3: substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow to obtain preset analysis data information of the elevator component to be analyzed; s4: and uploading the obtained preset analysis data to a background server, and displaying the preset analysis data on a preset interface. By adopting the method, the purpose of analyzing the preset parts of the elevators by combining the batch data of a plurality of elevators can be realized, so that the use and maintenance information of each part of the elevators can be more accurately known by elevator part designers and users.
Description
Technical Field
The invention relates to the field of elevator big data analysis, in particular to a method and a system for analyzing big data of multiple elevators based on the internet of things technology.
Background
In the prior art, the analysis of elevator data by elevator designers and elevator workers only stays in the data statistics and analysis of a single elevator, but the data of the single elevator has too much uncertainty, if the data statistics and analysis of a plurality of elevators are to be realized, the data of each elevator needs to be collected independently, then the collected data of each elevator are combined and analyzed together, and time and labor are wasted;
therefore, a method and a system for simultaneously acquiring data of a plurality of elevators and analyzing the data of the elevators are needed to solve the problems.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method and a system for analyzing big data of a plurality of elevators based on the technology of Internet of things.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for analyzing big data of a plurality of elevators based on the technology of Internet of things comprises the following steps:
s1: receiving a preset component code corresponding to an elevator component to be analyzed;
s2: receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed;
s3: substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow to obtain preset analysis data information of the elevator component to be analyzed;
s4: and uploading the obtained preset analysis data to a background server, and displaying the preset analysis data on a preset interface.
Further, step S2 includes:
s21: obtaining the type to be analyzed of the elevator component to be analyzed;
s22: judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
s23: a plurality of preset condition codes to be analyzed of the elevator component to be analyzed are received.
Further, step S3 includes:
s31: substituting a preset component code of the elevator component to be analyzed into a preset elevator database to obtain elevator preset data information of the elevator component to be analyzed;
s32: and calculating to obtain the preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm by combining the acquired preset elevator data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed.
Further, wherein the preset elevator database comprises: the elevator of a plurality of elevators is preset with basic data information, elevator preset maintenance data information, elevator real-time operation data information and fault data information.
Further, the elevator preset basic data information comprises: elevator user information, elevator floor information, elevator load capacity information, elevator speed information, elevator preset component code information, elevator preset component configuration information and elevator delivery time;
the preset maintenance data information of the elevator comprises the following steps: the method comprises the steps that elevator preset daily maintenance time information, elevator preset maintenance event content information, elevator preset component replacement information and elevator preset component replacement time information are obtained;
the elevator real-time operation data information and the fault data information comprise: the method comprises the following steps of presetting elevator running speed information, running time information of an elevator to be run, output current information of a frequency converter when the elevator runs, bus voltage information of the frequency converter when the elevator runs, information of a floor where the elevator is located at present, door opening frequency information of the elevator, fault code information when the elevator breaks down, running speed information of the elevator when the elevator breaks down, running voltage information of the elevator when the elevator breaks down, running floor information of the elevator when the elevator breaks down, and time information when the elevator breaks down.
Further, step S4 includes:
s41: uploading the obtained preset analysis data information to a background server;
s42: displaying the obtained preset analysis data information on a preset interface;
s43: and sending the obtained preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
System to many elevator big data analysis based on internet of things includes:
the information receiving module is used for receiving preset component codes corresponding to the elevator components to be analyzed and a plurality of preset condition codes to be analyzed of the elevator components to be analyzed;
the calculation analysis module is used for substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow and obtaining preset analysis data information of the elevator component to be analyzed;
and the result display module is used for uploading the obtained preset analysis data to the background server and displaying the preset analysis data on a preset interface.
Further, the information receiving module includes:
the receiving component code unit is used for receiving a preset component code corresponding to the elevator component to be analyzed;
the receiving and analyzing type unit is used for acquiring the type to be analyzed of the elevator component to be analyzed;
the type code judging unit is used for judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
and the code receiving and analyzing unit is used for receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed.
Further, the computational analysis module includes:
the elevator data acquisition unit is used for substituting the preset component code of the elevator component to be analyzed into a preset elevator database to acquire the elevator preset data information of the elevator component to be analyzed;
and the acquisition analysis data unit is used for combining the acquired elevator preset data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed, and calculating the preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm.
Further, the result display module includes:
the result uploading unit is used for uploading the preset analysis data information to the background server;
the result display unit is used for displaying the preset analysis data information on a preset interface;
and the result sending unit is used for sending the preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
The invention has the beneficial effects that:
(1) the system can be used for carrying out batch data statistics and analysis on multiple data of multiple elevators by a background server through the Internet of things technology, and can be used for comprehensively and systematically knowing each part of the elevator and presetting the content to be analyzed.
(2) The preset elevator database comprises preset basic data information of an elevator, preset maintenance data information of the elevator, real-time operation data information of the elevator and fault data information, corresponding data analysis results can be compared and inquired in the preset elevator database through setting preset condition codes to be analyzed, the data analysis results are displayed on a preset interface, and effective reference information is provided for design and research and development of all parts of the elevator.
(3) The method and the device greatly improve the efficiency of data statistics and analysis of multiple elevators, can display the analysis result more intuitively, and are simple to operate and accurate in analysis result.
Drawings
FIG. 1 is a first flow chart of a method for analyzing big data of a plurality of elevators based on the technology of Internet of things;
FIG. 2 is a flow chart of a method for analyzing big data of a plurality of elevators based on the technology of Internet of things;
FIG. 3 is a first system structure diagram for analyzing big data of a plurality of elevators based on the technology of Internet of things;
FIG. 4 is a second system structure diagram for analyzing big data of a plurality of elevators based on the technology of Internet of things;
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
Example one
In this embodiment, a method for analyzing big data of multiple elevators based on the internet of things technology is provided, as shown in fig. 1 to 2, the method includes:
s1: receiving a preset component code corresponding to an elevator component to be analyzed;
s2: receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed;
s3: substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow to obtain preset analysis data information of the elevator component to be analyzed;
s4: and uploading the obtained preset analysis data to a background server, and displaying the preset analysis data on a preset interface.
The method comprises the following specific steps:
for example, the preset component code of the elevator door lock is 01, and when the running quality and the service life of the door lock are to be analyzed, the preset component code to be analyzed, which is the elevator door lock 01 and is set by a user, is received;
further, step S2 includes:
s21: obtaining the type to be analyzed of the elevator component to be analyzed;
s22: judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
s23: a plurality of preset condition codes to be analyzed of the elevator component to be analyzed are received.
After receiving the preset component code, firstly obtaining the type to be analyzed of the elevator door lock, namely obtaining the type of the running quality and the service life of the elevator door lock, and judging a preset condition code to be analyzed corresponding to the running quality and the service life of the elevator door lock, for example, the preset condition to be analyzed corresponding to the quality and the service life of the elevator door lock is needed when analyzing the quality and the service life of the elevator door lock, including configuration information of the door lock, the fault type of the door lock and the delivery time of the elevator. And receiving a preset condition code to be analyzed corresponding to a condition to be analyzed for analyzing the quality and the service life of the door lock, which is set by a user, wherein the code corresponding to the configuration information of the door lock is 0101, the code corresponding to the fault type of the door lock is 0102, and the code corresponding to the factory time of the elevator is 1001.
Further, step S3 includes:
s31: substituting a preset component code of the elevator component to be analyzed into a preset elevator database to obtain elevator preset data information of the elevator component to be analyzed;
s32: and calculating to obtain the preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm by combining the acquired preset elevator data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed.
After receiving the preset component code 10 of the elevator component to be analyzed, namely the door lock, the 10 is brought into a preset elevator database, the preset data information of the elevator with the elevator component to be analyzed is obtained through a preset comparison algorithm, the preset data of the elevator with the preset component code 10 is called, for example, the door lock with the component code of 10 is used for the elevators A1-A10, and then the data of the elevators A1-A10 are obtained. Then, if the data of the elevators a1 to a10 is acquired as the data information of the dummy analysis-required condition corresponding to the plurality of preset analysis-required condition codes, for example, the quality and the life of the 10-door lock are analyzed, the data of the elevators a1 to a10 is acquired as the data information of the code 0101 corresponding to the arrangement information of the door lock 10, the code 0102 corresponding to the failure type of the door lock, and the code 1001 corresponding to the shipment time of the elevator. For example, the door lock 10 of the a1 elevator is configured as a first configuration, the failure type of the door lock is a type that the door lock cannot be opened or the door lock is not opened or the like, the elevator factory time is obtained from the a 1-a 10 elevator at a certain day in a certain month of a certain year, and the preset analysis data corresponding to the door locks are correspondingly written into the preset data analysis report.
S41: uploading the obtained preset analysis data information to a background server;
s42: displaying the obtained preset analysis data information on a preset interface;
s43: and sending the obtained preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
The obtained preset analysis data information can be recorded and stored in real time, uploaded to a background server and displayed on a preset interface, wherein the preset interface can be a computer work interface of an elevator maintenance worker and a computer work interface of an elevator supervision worker, the obtained preset analysis data information can be sent to a research and development department corresponding to an elevator component to be analyzed, for example, the quality and service life of the door lock are analyzed and sent to a door lock research and development department, and the door lock research and development department can perform better research and development on defects of the door lock.
According to the method for analyzing the big data of the plurality of elevators based on the internet of things technology, the purpose that the data of the plurality of elevators are counted simultaneously through the internet of things technology can be achieved, then the big data of the plurality of elevators are combined to analyze the preset elevator components, the preset elevator components can be analyzed more comprehensively and systematically, and the work efficiency of elevator analysis is improved; the method can also be combined with research and development departments corresponding to the components, and a high-performance product is better designed by combining the problems in the use of the preset components of the elevator.
Example two
This embodiment provides a system to many elevators big data analysis based on internet of things, as shown in fig. 3 to 4, this system includes:
the information receiving module is used for receiving preset component codes corresponding to the elevator components to be analyzed and a plurality of preset condition codes to be analyzed of the elevator components to be analyzed;
the calculation analysis module is used for substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow and obtaining preset analysis data information of the elevator component to be analyzed;
and the result display module is used for uploading the obtained preset analysis data to the background server and displaying the preset analysis data on a preset interface.
Further, the information receiving module includes:
the receiving component code unit is used for receiving a preset component code corresponding to the elevator component to be analyzed;
the receiving and analyzing type unit is used for acquiring the type to be analyzed of the elevator component to be analyzed;
the type code judging unit is used for judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
and the code receiving and analyzing unit is used for receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed.
The information receiving module is used for receiving code information set by a user, for example, the user wants to analyze the quality and service life data information of the elevator preset component door lock, and then the code of the door lock set by the user is received through the receiving component code unit, for example, the code of the door lock is 10; then, an analysis type of the door lock, for example, the quality and the life of the door lock, is obtained through the receiving and analyzing unit, and then a plurality of preset conditions to be analyzed are determined according to the received type to be analyzed and the quality and the life of the door lock, that is, configuration information, a fault type and the delivery time of the elevator of the door lock need to be known when the quality and the life of the door lock are to be analyzed, in this embodiment, a code corresponding to the configuration information of the door lock is 0101, a code corresponding to the fault type of the door lock is 0102, and a code corresponding to the delivery time of the elevator is 1001. And then, a plurality of preset condition codes to be analyzed set by a user are received through the analysis code receiving unit.
Further, the computational analysis module includes:
the elevator data acquisition unit is used for substituting the preset component code of the elevator component to be analyzed into a preset elevator database to acquire the elevator preset data information of the elevator component to be analyzed;
and the acquisition analysis data unit is used for combining the acquired elevator preset data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed, and calculating the preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm.
The preset elevator database provided in the embodiment is established through data collected by an elevator big data analysis software platform, a data network storage cloud server, an elevator internet of things control device module and an elevator controller unit.
The elevator controller unit is a control center integrating drive control and logic control of the elevator, a CPU in the elevator controller unit performs logic analysis processing on collected elevator peripheral signals and sends the signals to each part of the elevator to normally operate in a full serial communication mode, and the information also has a fault information recording function.
The elevator Internet of things control equipment module is a bridge which is connected with an elevator control unit and a data network storage cloud server, and elevator real-time operation data can be stored on the data network storage and transportation server through the bridge.
The data network storage cloud server is a space for storing all elevator data, and is convenient for a big data board software platform to call elevator related information data.
The elevator big data analysis software platform is composed of an elevator basic information data block, an elevator maintenance information data block, an elevator real-time operation and fault data block and a data analysis setting and checking block;
the elevator big data analysis software platform records basic data information of each elevator of a plurality of elevators, elevator maintenance and real-time running condition data information, analyzes running quality of each elevator and each accessory and component running life, and provides effective reference data for product design and research.
The elevator basic information data block records elevator basic information such as user information, elevator floor information, elevator load capacity information, elevator speed information, component configuration and factory time of each elevator.
The elevator maintenance information data block records daily maintenance time, maintenance process content, part replacement information and replacement time of each elevator, and prepares for analysis of subsequent big data.
The elevator real-time operation and fault data block records the operation speed/times/operation time of each elevator, the output current of the frequency converter/the bus voltage of the frequency converter, the floor where the elevator arrives, the door opening and closing times of the elevator, elevator fault codes, the operation speed of the elevator when a fault occurs, the operation voltage, the operation floor, the fault time and the like, and prepares for the analysis of subsequent big data.
The data analysis setting and checking plate can set the rule of batch big data analysis of each elevator and check the related data analysis result through the plate, provide a data report and provide effective reference information for design and research of elevator components.
Further, the result display module includes:
the result uploading unit is used for uploading the preset analysis data information to the background server;
the result display unit is used for displaying the preset analysis data information on a preset interface;
and the result sending unit is used for sending the preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
For example, the elevators a 1-a 10 use door locks with a part code of 10, the data of the elevators a 1-a 10 will be obtained. Then, if the data of the elevators a1 to a10 is acquired as the data information of the dummy analysis-required condition corresponding to the plurality of preset analysis-required condition codes, for example, the quality and the life of the 10-door lock are analyzed, the data of the elevators a1 to a10 is acquired as the data information of the code 0101 corresponding to the arrangement information of the door lock 10, the code 0102 corresponding to the failure type of the door lock, and the code 1001 corresponding to the shipment time of the elevator. For example, the configuration of the door lock 10 of the a1 elevator is the first configuration, the failure type of the door lock is the type that the door lock cannot be opened or the door lock is opened and stopped, the elevator factory time is acquired from the a1 to a10 elevator at a certain day in a certain month and a certain year, the preset analysis data corresponding to the door lock is written into the preset data analysis report, the preset data analysis report is uploaded to the background server, the related data report is displayed on the preset computer interface or the control interface, and the preset data analysis report is sent to the related research and development department through the result sending unit, so that the research and development efficiency of the related research and development department is improved.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (4)
1. A method for analyzing big data of a plurality of elevators based on the technology of Internet of things is characterized by comprising the following steps:
s1: receiving a preset component code corresponding to an elevator component to be analyzed;
s2: receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed;
the step S2 includes:
s21: obtaining the type to be analyzed of the elevator component to be analyzed;
s22: judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
s23: receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed;
s3: substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow to obtain preset analysis data information of the elevator component to be analyzed;
the step S3 includes:
s31: substituting a preset component code of the elevator component to be analyzed into a preset elevator database to obtain elevator preset data information of the elevator component to be analyzed;
s32: combining the obtained elevator preset data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed, and calculating to obtain preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm;
s4: uploading the obtained preset analysis data to a background server, and displaying the preset analysis data on a preset interface;
the step S4 includes:
s41: uploading the obtained preset analysis data information to a background server;
s42: displaying the obtained preset analysis data information on a preset interface;
s43: and sending the obtained preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
2. The method for analyzing the big data of the plurality of elevators based on the internet of things technology as claimed in claim 1, wherein presetting the elevator database comprises: the elevator of a plurality of elevators is preset with basic data information, elevator preset maintenance data information, elevator real-time operation data information and fault data information.
3. The method for analyzing the big data of the plurality of elevators based on the technology of the internet of things according to claim 2, wherein:
the preset basic data information of the elevator comprises: elevator user information, elevator floor information, elevator load capacity information, elevator speed information, elevator preset component code information, elevator preset component configuration information and elevator delivery time;
the preset maintenance data information of the elevator comprises the following steps: the method comprises the steps that elevator preset daily maintenance time information, elevator preset maintenance event content information, elevator preset component replacement information and elevator preset component replacement time information are obtained;
the elevator real-time operation data information and the fault data information comprise: the method comprises the following steps of presetting elevator running speed information, running time information of an elevator to be run, output current information of a frequency converter when the elevator runs, bus voltage information of the frequency converter when the elevator runs, information of a floor where the elevator is located at present, door opening frequency information of the elevator, fault code information when the elevator breaks down, running speed information of the elevator when the elevator breaks down, running voltage information of the elevator when the elevator breaks down, running floor information of the elevator when the elevator breaks down, and time information when the elevator breaks down.
4. System to many elevator big data analysis based on internet of things, its characterized in that includes:
the information receiving module is used for receiving preset component codes corresponding to the elevator components to be analyzed and a plurality of preset condition codes to be analyzed of the elevator components to be analyzed;
the information receiving module includes:
the receiving component code unit is used for receiving a preset component code corresponding to the elevator component to be analyzed;
the receiving and analyzing type unit is used for acquiring the type to be analyzed of the elevator component to be analyzed;
the type code judging unit is used for judging a plurality of required preset condition codes to be analyzed according to the acquired type to be analyzed;
the device comprises a code receiving and analyzing unit, a code analyzing unit and a code analyzing unit, wherein the code receiving and analyzing unit is used for receiving a plurality of preset condition codes to be analyzed of the elevator component to be analyzed;
the calculation analysis module is used for substituting a preset component code of the elevator component to be analyzed and a plurality of corresponding preset condition codes to be analyzed into a preset analysis flow and obtaining preset analysis data information of the elevator component to be analyzed;
the computational analysis module includes:
the elevator data acquisition unit is used for substituting the preset component code of the elevator component to be analyzed into a preset elevator database to acquire the elevator preset data information of the elevator component to be analyzed;
the system comprises an analysis data acquisition unit, a data analysis unit and a data analysis unit, wherein the analysis data acquisition unit is used for combining the acquired elevator preset data information with the elevator component to be analyzed and a plurality of preset condition codes to be analyzed and calculating the preset analysis data information of the elevator component to be analyzed according to a preset screening algorithm;
the result display module is used for uploading the obtained preset analysis data to the background server and displaying the preset analysis data on a preset interface;
the result display module includes:
the result uploading unit is used for uploading the preset analysis data information to the background server;
the result display unit is used for displaying the preset analysis data information on a preset interface;
and the result sending unit is used for sending the preset analysis data information to a research and development department corresponding to the elevator component to be analyzed.
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