CN114496201A - Medical equipment maintenance method, equipment and medium based on industrial internet identification - Google Patents
Medical equipment maintenance method, equipment and medium based on industrial internet identification Download PDFInfo
- Publication number
- CN114496201A CN114496201A CN202210085653.9A CN202210085653A CN114496201A CN 114496201 A CN114496201 A CN 114496201A CN 202210085653 A CN202210085653 A CN 202210085653A CN 114496201 A CN114496201 A CN 114496201A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- work order
- node
- characteristic
- euclidean distance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 317
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 239000013598 vector Substances 0.000 claims description 32
- 238000012216 screening Methods 0.000 claims description 9
- 230000008439 repair process Effects 0.000 claims description 8
- 230000004044 response Effects 0.000 claims description 5
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000009434 installation Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- General Business, Economics & Management (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application discloses a medical equipment maintenance method, equipment and a medium based on industrial internet identification, wherein the method comprises the following steps: generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner; generating a characteristic node of the maintenance personnel according to the characteristic information of the maintenance personnel; monitoring various operation indexes of the medical equipment, and judging whether the operation indexes exceed a preset range; if so, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order; determining the characteristic node of the maintenance personnel closest to the characteristic node of the maintenance work order; and sending the maintenance worker list to the maintenance worker corresponding to the feature node of the nearest maintenance worker.
Description
Technical Field
The application relates to the field of Internet of things, in particular to a medical equipment maintenance method, equipment and medium based on industrial Internet identification.
Background
Medical equipment is a basic condition for continuously improving the technical level of medical science and is also an important mark of the degree of modernization, and the medical equipment becomes an important field of modern medical treatment.
Medical equipment is the basic guarantee of hospital's normal operating, and traditional medical equipment is the mode of artifical check maintenance mostly, can't accomplish medical equipment's timely early warning. And the medical equipment has stronger maintenance speciality and high maintenance threshold, needs professional engineers to maintain and has higher dependence on manual experience. The maintenance response rate of conventional medical equipment is relatively slow, and due to the particularities of the hospital environment, the normal operation of the medical equipment is associated with the valuable patient visit time.
Disclosure of Invention
The application provides a medical equipment maintenance method, equipment and a medium based on industrial internet identification, and solves the technical problem of low medical equipment maintenance efficiency.
A medical equipment maintenance method based on industrial Internet identification comprises the following steps:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of the maintenance personnel according to the characteristic information of the maintenance personnel;
monitoring various operation indexes of the medical equipment, and judging whether the operation indexes exceed a preset range; if so, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; friend points are points connected with the first characteristic nodes;
judging whether the second Euclidean distance is smaller than the first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as the first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance worker list to the maintenance worker corresponding to the feature node of the nearest maintenance worker.
In an embodiment of the present application, generating a feature node of a serviceman according to feature information of the serviceman specifically includes: acquiring the skill characteristics of maintenance personnel, and generating base vectors corresponding to the skill characteristics; the base vector is a non-collinear non-zero vector and can be used for representing a feature vector of a maintenance worker; acquiring the responsible region characteristics of maintenance personnel, and generating a base vector corresponding to the responsible region characteristics; acquiring the grade characteristics of maintenance personnel, and generating a base vector corresponding to the grade characteristics; acquiring the frequency characteristics of medical equipment maintenance of a maintenance worker, and generating a base vector corresponding to the frequency characteristics of the medical equipment maintenance; performing weighting operation according to different weights of the skill characteristics, the region characteristics in charge, the grade characteristics and the frequency characteristics of medical equipment maintenance of the maintenance personnel to obtain the characteristic vector of the maintenance personnel; and determining coordinates of the feature vector end points as feature nodes of the maintenance personnel.
In an embodiment of the present application, assigning the repair order to a repair person in the skill area specifically includes: determining maintenance personnel in the skill field matched with the fault category, and acquiring the number of work orders corresponding to each maintenance personnel; determining the priority of the maintenance work order according to the urgency of the maintenance work order; performing weight calculation according to the number of the work orders corresponding to the maintenance personnel, the number of the maintained work orders and the priority of the maintained work orders to determine the grade of the maintenance personnel; and matching the maintenance work orders with corresponding priorities according to the grades of the maintenance personnel.
In an embodiment of the present application, after generating the work order log, the method further includes: acquiring fault keywords in the work order log information, and summarizing the work order log according to the fault keywords; analyzing according to the solutions in the work order log to generate a conventional solution; and sending the conventional solution to an auditor for confirmation.
In one embodiment of the present application, after generating the repair order, the method further comprises: acquiring an identification code in a maintenance work order, and confirming the position information of the medical equipment corresponding to the identification code; determining the technical field to which the medical equipment fault belongs; searching the position of a maintenance person in the skill field; and determining a maintenance worker nearest to the medical equipment according to the position information of the medical equipment, and assigning the maintenance work order to the maintenance worker nearest to the medical equipment.
In one embodiment of the application, after storing the characteristic information of the medical device, the method further comprises: determining the working time of the medical equipment; judging whether the working time of the medical equipment exceeds a preset time threshold or not; if yes, acquiring instrument data of the medical equipment, and judging whether the instrument data exceeds a preset range; if yes, acquiring an identification code of the medical equipment, and automatically generating a maintenance work order according to the identification code.
In an embodiment of the present application, after generating the work order log, the method further includes: acquiring a work order log corresponding to the same identification code; generating an electronic file of the medical equipment corresponding to the identification code according to the work order log; and after the work order log corresponding to the identification code is generated each time, adding the work order log corresponding to the identification code into the electronic file.
In one embodiment of the present application, after updating the inventory of spare parts, the method further comprises: and judging whether the stock of the spare parts is lower than an early warning threshold value or not, and if so, early warning.
A medical equipment maintenance device based on industry internet identification, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of the maintenance personnel according to the characteristic information of the maintenance personnel;
monitoring various operation indexes of the medical equipment, and judging whether the operation indexes exceed a preset range; if so, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; friend points are points connected with the first characteristic nodes;
judging whether the second Euclidean distance is smaller than the first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as the first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance worker list to the maintenance worker corresponding to the feature node of the nearest maintenance worker.
A non-volatile storage medium storing computer-executable instructions configured to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of the maintenance personnel according to the characteristic information of the maintenance personnel;
monitoring various operation indexes of the medical equipment, and judging whether the operation indexes exceed a preset range; if so, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; friend points are points connected with the first characteristic nodes;
judging whether the second Euclidean distance is smaller than the first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as the first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance worker list to the maintenance worker corresponding to the feature node of the nearest maintenance worker.
The application provides a medical equipment maintenance method, equipment and a medium based on industrial internet identification, which at least have the following beneficial effects: by means of the characteristic information input of the medical equipment and the binding of the unique identification code, visual management of the medical equipment is achieved, and orderly and searchable online records of equipment installation, temporary early warning, maintenance and the like are achieved; by endowing each spare part with a unique identification code, the purchasing and the picking of the spare parts can be standardized, the safety early warning of the inventory can be realized, and the ordered management of the spare parts can be realized; by establishing a maintenance work order response system, professional maintenance personnel can be intelligently matched, so that rapid and symptomatic equipment maintenance is realized; the maintenance condition of each medical equipment fault can be recorded in detail by establishing the electronic file of the medical equipment, and the maintenance method of the conventional fault can be summarized from past maintenance by summarizing and extracting the fault problems of the medical equipment, so that the maintenance speed of the medical equipment is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram illustrating steps of a medical equipment maintenance method based on industrial Internet identification according to an embodiment of the present application;
fig. 2 is a structural diagram of a medical equipment maintenance device based on industrial internet identification according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in detail and completely with reference to the following specific embodiments. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Medical equipment is the basic guarantee of hospital's normal operating, and traditional medical equipment is the mode of artifical check maintenance mostly, can't accomplish medical equipment's timely early warning. And the medical equipment has stronger maintenance speciality and high maintenance threshold, needs professional engineers to maintain and has higher dependence on manual experience. The maintenance response rate of conventional medical equipment is relatively slow, and due to the particularities of the hospital environment, the normal operation of the medical equipment is associated with the valuable patient visit time.
The application provides a medical equipment maintenance method, equipment and a medium based on industrial internet identification, which at least have the following beneficial effects: by means of the characteristic information input of the medical equipment and the binding of the unique identification code, visual management of the medical equipment is achieved, and orderly and searchable online records of equipment installation, temporary early warning, maintenance and the like are achieved; by endowing each spare part with a unique identification code, the purchasing and the picking of the spare parts can be standardized, the safety early warning of the inventory can be realized, and the ordered management of the spare parts can be realized; by establishing a maintenance work order response system, professional maintenance personnel can be intelligently matched, so that rapid and symptomatic equipment maintenance is realized; the maintenance condition of each medical equipment fault can be recorded in detail by establishing the electronic file of the medical equipment, and the maintenance method of the conventional fault can be summarized from past maintenance by summarizing and extracting the fault problems of the medical equipment, so that the maintenance speed of the medical equipment is improved. The following is a detailed description.
Fig. 1 is a schematic step diagram of a medical device maintenance method based on industrial internet identification according to an embodiment of the present application, and the method may include the following steps:
s101: and generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner.
In one embodiment of the application, a worker scans an identification code on the medical equipment through a camera device, and the medical equipment management system receives the scanned identification code information on the medical equipment; the medical equipment management system receives the characteristic information of the medical equipment input by the staff, binds the identification code with the characteristic information of the medical equipment, and classifies the identification code according to preset categories, for example, a first digit symbol of the identification code represents a large category, and a second digit symbol represents a subclass of the large category. And storing the identification code and the characteristic information corresponding to the identification code into a database according to the classification result.
The spare part identification code is helpful for realizing systematic management of spare parts, can timely and definitely determine information such as destination and inventory of the spare parts, and can be used for feeding according to actual conditions so as to maintain normal operation of the medical equipment. The classification of each medical device is subdivided through the identification code, so that the standard management of the devices can be realized, and the medical devices can be conveniently and orderly checked and managed by workers.
S102: and generating a characteristic node of the maintenance personnel according to the characteristic information of the maintenance personnel.
In one embodiment of the application, the skill characteristics of a maintenance worker are obtained, and a base vector corresponding to the skill characteristics is generated; the base vector is a non-collinear non-zero vector and can be used for representing a feature vector of a maintenance worker; acquiring the responsible region characteristics of maintenance personnel, and generating a base vector corresponding to the responsible region characteristics; acquiring the grade characteristics of maintenance personnel, and generating a base vector corresponding to the grade characteristics; acquiring the frequency characteristics of medical equipment maintenance of a maintenance worker, and generating a base vector corresponding to the frequency characteristics of the medical equipment maintenance; performing weighting operation according to different weights of the skill characteristics, the region characteristics in charge, the grade characteristics and the frequency characteristics of medical equipment maintenance of the maintenance personnel to obtain the characteristic vector of the maintenance personnel; and determining coordinates of the feature vector end points as feature nodes of the maintenance personnel.
Specifically, a unique identification serial number of each maintenance person is determined, and the skill characteristics of the maintenance person, such as network, computer software/hardware, operating system faults and the like in the electrical field, connection relation faults between parts and components of medical equipment in the mechanical field and the like, are acquired. The characteristics of the responsible area include a certain area, a certain hospital in the certain area, an inpatient building and an emergency building of the certain hospital, and the like. The grade characteristic of the service person, i.e., the grade of the service worker, is generally determined based on the age of the service person in combination with the grade of the work order being processed. The number of times the medical equipment is repaired, i.e., the number of work orders processed, is greater, and the representative experience is more abundant. And performing weighted addition calculation according to the base vectors contained by the maintenance personnel to obtain a characteristic vector representing the maintenance personnel, wherein the terminal point coordinates of the characteristic vector are the characteristic nodes of the maintenance personnel.
S103: monitoring various operation indexes of the medical equipment, and judging whether the operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order.
Specifically, indexes such as network communication rate, operation rate, voltage value, current value and power value of the medical equipment are monitored through the monitoring equipment, and if the indexes exceed a set range, which indicates that the medical equipment may have problems, an early warning instruction is triggered to generate a maintenance order. For example, when a certain piece of medical equipment is used, the running speed is reduced, a problem generally occurs to a component of the equipment, and the component belongs to a mechanical problem, the maintenance work order is marked as the mechanical problem, information such as a fault problem of the maintenance work order, an identification code, a position and basic components of the equipment is generated according to the characteristics, a maintenance work order is generated, a base vector corresponding to the mechanical problem, the identification code information, the position and the basic components of the maintenance work order is generated, and a weighting operation is performed according to the base vector to generate a characteristic node of the maintenance work order.
S104: and randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order.
One commonly used distance definition is the euclidean distance between two points in m-dimensional space, which is the distance between two straight line segments in two-dimensional space.
S105: inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; friend points are points connected with the first characteristic nodes;
specifically, friend points are other feature nodes connected to one feature node in the m-dimensional space.
S106: judging whether the second Euclidean distance is smaller than the first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as the first feature node again;
s107: inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
specifically, steps S105 to S107 are repeatedly executed until the second euclidean distance is determined to be greater than the first euclidean distance, so that it can be determined that the feature node of the service person corresponding to the current first euclidean distance is the node closest to the euclidean distance of the feature node of the service order, that is, the service person is most suitable for processing the service order, such as the service person most conforming to the skill field to which the failure problem belongs, the closest distance to the medical device, and the like.
S108: and sending the maintenance worker list to the maintenance worker corresponding to the feature node of the nearest maintenance worker.
In one embodiment of the application, maintenance personnel in the technical field matched with the fault category are determined, and the number of work orders corresponding to each maintenance personnel is obtained; determining the priority of the maintenance work order according to the urgency of the maintenance work order; performing weight calculation according to the number of the work orders corresponding to the maintenance personnel, the number of the maintained work orders and the priority of the maintained work orders to determine the grade of the maintenance personnel; and matching the maintenance work orders with corresponding priorities according to the grades of the maintenance personnel.
Specifically, after the system determines the maintenance personnel capable of handling the fault, in order to be able to handle the fault problem with maximum efficiency and assign work orders evenly, the assignment may be based on the number of work orders under each maintenance personnel name and the urgency of the fault. Firstly, the medical equipment management system inquires the number of work orders under the name of each maintenance person, and then determines the priority according to the urgency of the work orders, for example, if the medical equipment in the operation has a fault, the priority of the fault is the highest, and the maintenance person with rich experience and high maintenance efficiency needs to be matched for urgent maintenance. The system can perform weight calculation according to the number of the corresponding work orders of the maintenance personnel, the number of the maintained work orders and the priority of the maintained work orders, determine the optimal maintenance personnel capable of processing the emergency fault, screen out the maintenance personnel with high grade when the number of the maintained work orders is more, the priority of the maintained work orders is higher, the grade of the maintenance personnel is higher, determine the maintenance personnel with the minimum number of the named work orders, and assign the maintenance work orders to the maintenance personnel.
In one embodiment of the application, after the characteristic information of the medical equipment is stored, the working time of the medical equipment is determined; judging whether the working time of the medical equipment exceeds a preset time threshold or not; if yes, acquiring instrument data of the medical equipment, and judging whether the instrument data exceeds a preset range; if yes, acquiring an identification code of the medical equipment, and automatically generating a maintenance work order according to the identification code.
In particular, medical equipment has a service life, and in order to ensure normal use of the medical equipment, the service life of the medical equipment is monitored, so that the condition that the service life is exceeded and the damage is caused to influence work is prevented. Therefore, the working time of the medical equipment is recorded from the production date of the medical equipment, whether the accumulated working time of the medical equipment exceeds the service life or not is judged by setting a preset time threshold (namely the service life of the medical equipment) for the medical equipment, if so, the medical equipment is determined to enter an aging stage, then whether the working efficiency of the medical equipment is low or not is determined by reading a monitoring instrument on the medical equipment, and if so, a maintenance worksheet is automatically raised to inform a professional to maintain the medical equipment, so that the normal work of the medical equipment is ensured. Through in time generating the maintenance work order, inform the maintenance personal to overhaul, can prevent suffering in the bud, reduced the incidence of trouble on the medical equipment.
In an embodiment of the application, a maintenance work order is generated according to information submitted by workers, fault types in the maintenance work order are obtained, technical fields are matched according to the fault types, and the workers are screened according to the matched technical fields.
For example, if the networking of medical equipment is a trip problem, a serviceman who is in the field of matching skills and is in network speciality is needed, and a part of the medical equipment or the inside of the equipment fails, a serviceman who is in the field of matching skills and is in the field of machinery speciality is needed.
In one embodiment of the application, after a maintenance work order is generated, an identification code in the maintenance work order is obtained, and position information of the medical equipment corresponding to the identification code is confirmed; determining the technical field to which the medical equipment fault belongs; searching the position of a maintenance person in the skill field; and determining a maintenance worker nearest to the medical equipment according to the position information of the medical equipment, and assigning the maintenance work order to the maintenance worker nearest to the medical equipment.
Specifically, after the maintenance work order is generated, in order to process the fault at the fastest speed, the maintenance personnel closest to the fault position are automatically matched, and the fault processing efficiency is improved. The identification codes on all the medical equipment are unique, the position information of the medical equipment can be determined according to the unique identification codes, the maintenance work order can be automatically classified according to fault problems, the skill field of fault matching is determined, the maintenance personnel capable of processing the fault can be automatically matched, after the maintenance personnel capable of processing the fault are screened out, the position information of each maintenance personnel is obtained, the distance or time of each maintenance personnel reaching the fault medical equipment is compared, the maintenance personnel closest to the position of the fault medical equipment is determined, and the maintenance work order of the fault equipment is assigned to the maintenance personnel for processing. This can improve the efficiency of failure processing.
In one embodiment of the application, after the work order log is generated, a fault keyword in the work order log information is obtained, and the work order log is collected according to the fault keyword; analyzing according to the solutions in the work order log to generate a conventional solution; and sending the conventional solution to an auditor for confirmation.
Specifically, the common problems of some medical equipment can be solved by non-professional maintenance personnel according to a solution, so that the waste of human resources can be reduced, and the maintenance efficiency is improved. The system automatically calls fault keyword information according to the work order logs, collects the work order logs with the keywords, and analyzes the commonality of fault solutions in the work order logs, for example, the solution steps are the same, and the solutions are the same. And generating a conventional solution by analyzing the solution of each work order, sending the generated solution to an auditor for confirmation in order to ensure the implementability of the solution, and issuing the solution if the solution is feasible, or issuing the solution after modification by the auditor if the solution lacks steps.
In one embodiment of the application, after the work order log is generated, the work order log corresponding to the same identification code is obtained; generating an electronic file of the medical equipment corresponding to the identification code according to the work order log; and after the work order log corresponding to the identification code is generated each time, adding the work order log corresponding to the identification code into the electronic file.
Specifically, after the maintenance personnel finish the maintenance every time, the work order feedback can be carried out, the work order log can be generated according to the work order feedback, if one medical device is provided with a plurality of work order logs, the identification codes contained in the work order log are identified, the work order log is collected according to the identification codes to generate the electronic file of the medical device, and after the medical device is maintained every time, the generated work order log can be stored in the corresponding electronic file. The staff can check conveniently.
In one embodiment of the application, after the inventory of the spare parts is updated, whether the inventory of the spare parts is lower than an early warning threshold value is judged, and if yes, early warning is carried out. In order to ensure good work operation and avoid the condition that the work progress is influenced due to spare part loss, when the spare part inventory is lower than the early warning threshold value, early warning is carried out, and related personnel are informed to update the inventory in time.
Based on the same inventive concept, the medical equipment maintenance method based on the industrial internet identification provided by the embodiment of the present application further provides corresponding medical equipment maintenance equipment based on the industrial internet identification, as shown in fig. 2.
The embodiment provides medical equipment maintenance equipment based on industry internet sign, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of a maintenance worker according to characteristic information of the maintenance worker;
monitoring various operation indexes of the medical equipment, and judging whether the various operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; the friend point is a point connected with the first characteristic node;
judging whether the second Euclidean distance is smaller than a first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as a first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance work order to the maintenance personnel corresponding to the feature node of the nearest maintenance personnel.
Based on the same idea, some embodiments of the present application further provide media corresponding to the above method.
Some embodiments of the present application provide an industrial internet identification based medical device repair storage medium storing computer executable instructions configured to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of a maintenance worker according to characteristic information of the maintenance worker;
monitoring various operation indexes of the medical equipment, and judging whether the various operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring friend points of the first feature node, calculating Euclidean distances between the friend points of the first feature node and the feature nodes of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; the friend point is a point connected with the first characteristic node;
judging whether the second Euclidean distance is smaller than a first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as a first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance work order to the maintenance personnel corresponding to the feature node of the nearest maintenance personnel.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on differences from other embodiments. In particular, as to the method and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some of the descriptions of the method embodiments for relevant points.
The method and the medium provided by the embodiment of the application correspond to the method one to one, so the method and the medium also have the beneficial technical effects similar to the corresponding method.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process method article or method 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 method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process method article or method in which the element is included.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A medical equipment maintenance method based on industrial Internet identification is characterized by comprising the following steps:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of a maintenance worker according to characteristic information of the maintenance worker;
monitoring various operation indexes of the medical equipment, and judging whether the various operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a feature node of any maintenance worker as a first feature node, and calculating a first Euclidean distance between the first feature node of the maintenance worker and the feature node of the maintenance work order;
inquiring the friend point of the first feature node, calculating the Euclidean distance between the friend point of the first feature node and the feature node of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; the friend point is a point connected with the first characteristic node;
judging whether the second Euclidean distance is smaller than a first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as a first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance work order to the maintenance personnel corresponding to the feature node of the nearest maintenance personnel.
2. The method according to claim 1, wherein the generating the feature node of the service person according to the feature information of the service person specifically comprises:
acquiring skill characteristics of maintenance personnel, and generating a base vector corresponding to the skill characteristics; the base vector is a non-collinear non-zero vector and can be used for representing a characteristic vector of the maintenance personnel;
acquiring the responsible region characteristics of the maintenance personnel, and generating a base vector corresponding to the responsible region characteristics;
acquiring the grade characteristics of the maintenance personnel, and generating a base vector corresponding to the grade characteristics;
acquiring the times characteristic of the maintenance personnel for maintaining the medical equipment, and generating a base vector corresponding to the times characteristic of the maintenance of the medical equipment;
performing weighting operation according to different weights of the skill characteristics, the responsible region characteristics, the grade characteristics and the times characteristic of maintaining the medical equipment of the maintenance personnel to obtain the characteristic vector of the maintenance personnel;
and determining the coordinates of the feature vector end points as feature nodes of the maintenance personnel.
3. The method according to claim 1, wherein the generating of the identification code based on the characteristic information of the medical device and the classified storage of the identification code and the characteristic information associated with the identification code comprise:
receiving the scanned identification code on the medical device;
receiving characteristic information of the medical equipment input by a worker;
binding the identification code with characteristic information of the medical equipment;
classifying the identification codes according to preset categories;
and storing the identification code and the characteristic information associated with the identification code into a database according to the classification result.
4. The method according to claim 1, wherein the sending the repair order to the repair person corresponding to the feature node of the nearest repair person specifically comprises:
determining maintenance personnel under the skill characteristics matched with the fault types, and acquiring the number of work orders corresponding to each maintenance personnel;
determining the priority of the maintenance work order according to the urgency of the maintenance work order;
performing weight calculation according to the number of the work orders corresponding to the maintenance personnel, the number of the maintained work orders and the priority of the maintained work orders to determine the grade of the maintenance personnel;
and matching the maintenance work orders with corresponding priorities according to the grades of the maintenance personnel.
5. The method of claim 1, wherein after sending the service order to the service personnel, the method further comprises:
calling corresponding characteristic information of the medical equipment according to the identification code in the maintenance work order, receiving a spare part application request of the maintenance personnel, and updating the stock of the spare part according to a spare part request response;
receiving completion feedback of maintenance personnel and generating a work order log;
acquiring fault keywords in the work order log information, and summarizing the work order log according to the fault keywords;
analyzing according to the solution in the work order log to generate a conventional solution;
and sending the conventional solution to an auditor for confirmation.
6. The method of claim 1, wherein after generating a repair order, the method further comprises:
acquiring an identification code in the maintenance work order, and confirming the position information of the medical equipment corresponding to the identification code;
determining a skill area to which the medical device failure belongs;
finding a location of a maintenance person that conforms to the skill area;
and determining a maintenance worker nearest to the medical equipment according to the position information of the medical equipment, and assigning the maintenance work order to the maintenance worker nearest to the medical equipment.
7. The method of claim 1, wherein after storing the characteristic information of the medical device, the method further comprises:
determining a working duration of the medical device;
judging whether the working time of the medical equipment exceeds a preset time threshold or not;
if yes, acquiring instrument data of the medical equipment, and judging whether the instrument data exceeds a preset range;
if yes, acquiring the identification code of the medical equipment, and automatically generating a maintenance work order according to the identification code.
8. The method of claim 1, wherein after generating the work order log, the method further comprises:
acquiring a work order log corresponding to the same identification code;
generating an electronic file of the medical equipment corresponding to the identification code according to the work order log;
and after the work order log corresponding to the identification code is generated every time, adding the work order log corresponding to the identification code into the electronic file.
9. A medical equipment maintenance device based on industry internet sign, characterized by comprising:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of a maintenance worker according to characteristic information of the maintenance worker;
monitoring various operation indexes of the medical equipment, and judging whether the various operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring the friend point of the first feature node, calculating the Euclidean distance between the friend point of the first feature node and the feature node of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; the friend point is a point connected with the first characteristic node;
judging whether the second Euclidean distance is smaller than a first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as a first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance work order to the maintenance personnel corresponding to the feature node of the nearest maintenance personnel.
10. A non-transitory storage medium storing computer-executable instructions, the computer-executable instructions configured to:
generating an identification code based on the characteristic information of the medical equipment, and storing the identification code and the characteristic information associated with the identification code in a classified manner;
generating a characteristic node of a maintenance worker according to characteristic information of the maintenance worker;
monitoring various operation indexes of the medical equipment, and judging whether the various operation indexes exceed a preset range; if yes, generating a maintenance work order according to the abnormal index, acquiring the characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order according to the characteristic information of the maintenance work order;
randomly selecting a first characteristic node of a maintenance worker, and calculating a first Euclidean distance between the first characteristic node of the maintenance worker and the characteristic node of the maintenance work order;
inquiring the friend point of the first feature node, calculating the Euclidean distance between the friend point of the first feature node and the feature node of the maintenance work order, and screening out the minimum Euclidean distance as a second Euclidean distance; the friend point is a point connected with the first characteristic node;
judging whether the second Euclidean distance is smaller than a first Euclidean distance, if so, taking the feature node corresponding to the second Euclidean distance as a first feature node again;
inquiring the Euclidean distance between the friend point of the first characteristic node and the characteristic node of the maintenance work order again until the second Euclidean distance is judged to be larger than the first Euclidean distance, and determining the characteristic node corresponding to the first Euclidean distance as the characteristic node of the maintenance worker closest to the characteristic node of the maintenance work order;
and sending the maintenance work order to the maintenance personnel corresponding to the feature node of the nearest maintenance personnel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210085653.9A CN114496201A (en) | 2022-01-25 | 2022-01-25 | Medical equipment maintenance method, equipment and medium based on industrial internet identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210085653.9A CN114496201A (en) | 2022-01-25 | 2022-01-25 | Medical equipment maintenance method, equipment and medium based on industrial internet identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114496201A true CN114496201A (en) | 2022-05-13 |
Family
ID=81475413
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210085653.9A Pending CN114496201A (en) | 2022-01-25 | 2022-01-25 | Medical equipment maintenance method, equipment and medium based on industrial internet identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114496201A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114973619A (en) * | 2022-05-27 | 2022-08-30 | 北京嘉联优控科技有限公司 | Industrial instrument alarm management method and device, electronic equipment and storage medium |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005070865A (en) * | 2003-08-27 | 2005-03-17 | Seiko Epson Corp | Repair request scheduling system, repair request scheduling method, and repair request scheduling program |
| US20090089140A1 (en) * | 2007-09-28 | 2009-04-02 | Fujitsu Limited | Support management method, support management system and information processing device |
| CN106845502A (en) * | 2017-01-23 | 2017-06-13 | 东南大学 | It is a kind of to visualize guidance method for the Wearable servicing unit of overhaul of the equipments and overhaul of the equipments |
| CN106951966A (en) * | 2017-02-17 | 2017-07-14 | 深圳市嘉力达节能科技股份有限公司 | Device management method and system |
| CN107862375A (en) * | 2017-10-30 | 2018-03-30 | 北京计算机技术及应用研究所 | A kind of two stage equipment fault diagnosis method |
| CN108713209A (en) * | 2018-05-30 | 2018-10-26 | 深圳市元征科技股份有限公司 | Repair management method, system and the data management server of station |
| CN108960452A (en) * | 2018-07-26 | 2018-12-07 | 合肥云联电子科技有限公司 | A kind of intelligent monitoring system of industrial control equipment |
| CN109862048A (en) * | 2017-11-29 | 2019-06-07 | 内蒙古伊利实业集团股份有限公司 | Shop equipment processing system, device databases server and method |
| CN110070190A (en) * | 2019-03-16 | 2019-07-30 | 平安城市建设科技(深圳)有限公司 | Property method for maintaining, maintenance man's terminal, background server and storage medium |
| CN110706800A (en) * | 2019-09-18 | 2020-01-17 | 医修技术服务(北京)有限公司 | Automatic management method and device for equipment maintenance, computer equipment and storage medium |
| CN112365016A (en) * | 2020-11-24 | 2021-02-12 | 航天云网数据研究院(广东)有限公司 | Maintenance work order management method based on block chain technology and related equipment |
| CN112446509A (en) * | 2020-11-10 | 2021-03-05 | 中国电子科技集团公司第三十八研究所 | Complex electronic equipment prediction maintenance method |
-
2022
- 2022-01-25 CN CN202210085653.9A patent/CN114496201A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005070865A (en) * | 2003-08-27 | 2005-03-17 | Seiko Epson Corp | Repair request scheduling system, repair request scheduling method, and repair request scheduling program |
| US20090089140A1 (en) * | 2007-09-28 | 2009-04-02 | Fujitsu Limited | Support management method, support management system and information processing device |
| CN106845502A (en) * | 2017-01-23 | 2017-06-13 | 东南大学 | It is a kind of to visualize guidance method for the Wearable servicing unit of overhaul of the equipments and overhaul of the equipments |
| CN106951966A (en) * | 2017-02-17 | 2017-07-14 | 深圳市嘉力达节能科技股份有限公司 | Device management method and system |
| CN107862375A (en) * | 2017-10-30 | 2018-03-30 | 北京计算机技术及应用研究所 | A kind of two stage equipment fault diagnosis method |
| CN109862048A (en) * | 2017-11-29 | 2019-06-07 | 内蒙古伊利实业集团股份有限公司 | Shop equipment processing system, device databases server and method |
| CN108713209A (en) * | 2018-05-30 | 2018-10-26 | 深圳市元征科技股份有限公司 | Repair management method, system and the data management server of station |
| CN108960452A (en) * | 2018-07-26 | 2018-12-07 | 合肥云联电子科技有限公司 | A kind of intelligent monitoring system of industrial control equipment |
| CN110070190A (en) * | 2019-03-16 | 2019-07-30 | 平安城市建设科技(深圳)有限公司 | Property method for maintaining, maintenance man's terminal, background server and storage medium |
| CN110706800A (en) * | 2019-09-18 | 2020-01-17 | 医修技术服务(北京)有限公司 | Automatic management method and device for equipment maintenance, computer equipment and storage medium |
| CN112446509A (en) * | 2020-11-10 | 2021-03-05 | 中国电子科技集团公司第三十八研究所 | Complex electronic equipment prediction maintenance method |
| CN112365016A (en) * | 2020-11-24 | 2021-02-12 | 航天云网数据研究院(广东)有限公司 | Maintenance work order management method based on block chain technology and related equipment |
Non-Patent Citations (2)
| Title |
|---|
| 任克强;庄放望;: "最短路径距离矩阵修正的多维标度定位算法", 传感技术学报, vol. 29, no. 01, 15 January 2016 (2016-01-15), pages 129 - 136 * |
| 王雄伟, 等: "基于维修任务的基本维修单元确定方法", 装 甲 兵 工 程 学 院 学报, vol. 31, no. 2, 30 April 2017 (2017-04-30), pages 25 - 29 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114973619A (en) * | 2022-05-27 | 2022-08-30 | 北京嘉联优控科技有限公司 | Industrial instrument alarm management method and device, electronic equipment and storage medium |
| CN114973619B (en) * | 2022-05-27 | 2023-06-13 | 北京嘉联优控科技有限公司 | Alarm management method and device for industrial instrument equipment, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110647446B (en) | Log fault association and prediction method, device, equipment and storage medium | |
| US20090157455A1 (en) | Instruction system and method for equipment problem solving | |
| CN109669844B (en) | Equipment fault processing method, device, equipment and storage medium | |
| CN109740838B (en) | Provider service evaluation method based on big data and related equipment | |
| CN112328875B (en) | Equipment intelligent maintenance scheme recommendation method based on big data | |
| CN114496201A (en) | Medical equipment maintenance method, equipment and medium based on industrial internet identification | |
| CN115730925A (en) | Work order processing method and device, computer equipment and storage medium | |
| CN115577708A (en) | Automatic order dispatching method for maintenance operation of heating ventilation terminal equipment based on NLP | |
| KR102061404B1 (en) | Preventive maintenance job selection system, method considering failure prevention effect and storing medium of program executing preventive maintenance job selection | |
| CN113505902A (en) | Fault detection method and device, electronic equipment and storage medium | |
| CN107832408B (en) | Power grid defect recommendation method based on data labels and entropy weight method | |
| US20200310897A1 (en) | Automatic optimization fault feature generation method | |
| CN114666774B (en) | Identification matching system and method of Bluetooth equipment | |
| CN114897347A (en) | Expert personnel automatic sequencing scheduling processing method in emergency scene and storage medium | |
| CN108805462A (en) | The method and device of distribution Risk-warning, storage medium, processor | |
| CN115705259A (en) | Fault processing method, related device and storage medium | |
| CN118114910B (en) | Intelligent factory management method based on big data analysis | |
| CN114693023A (en) | Equipment point inspection system and operation method thereof | |
| CN115858505B (en) | Data processing method for identifying state abnormality of frequency converter | |
| EP3891930A1 (en) | Method and technician allocating system for allocating a field technician | |
| CN114091710B (en) | National maintenance technology supporting method and system | |
| CN115499331B (en) | Intelligent work order processing method, device, equipment and storage medium | |
| CN117428760B (en) | Joint module control system and method based on artificial intelligence | |
| CN118094168B (en) | Correction method and device for electric power data | |
| CN118709002A (en) | SOE data analysis-based breaker state evaluation method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |