CN114500316B - Method and system for inspecting equipment of Internet of things - Google Patents

Method and system for inspecting equipment of Internet of things Download PDF

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Publication number
CN114500316B
CN114500316B CN202210113643.1A CN202210113643A CN114500316B CN 114500316 B CN114500316 B CN 114500316B CN 202210113643 A CN202210113643 A CN 202210113643A CN 114500316 B CN114500316 B CN 114500316B
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equipment
inspection
self
internet
things
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CN114500316A (en
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张福军
李祥兵
何伟
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Green City Technology Industry Service Group Co ltd
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Green City Technology Industry Service Group Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0631Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/10Active monitoring, e.g. heartbeat, ping or trace-route
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Cardiology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to an equipment inspection method and system of the Internet of things, which are used for carrying out multi-dimensional inspection on equipment conditions in an area, judging the running health degree of equipment per se, further judging the health degree of the type of equipment, and evaluating the running health degree of the equipment in the whole area; the equipment inspection management system is used for comprehensively managing the equipment and the inspection thereof, the equipment of the Internet of things is used for realizing different functions, the self-inspection data are fed back to the equipment inspection management system, and the equipment inspection terminal is used for carrying out manual inspection on the equipment and feeding back the inspection data to the equipment inspection management system; the equipment inspection management system, the Internet of things equipment and the equipment inspection terminal are connected to the same local area network. According to the method, in the dimension of the project, the running health degree of the equipment of the whole project can be accurately estimated, on one hand, various equipment suppliers can be compared and estimated, and on the other hand, whether the intelligent system and the equipment of the project are actually used in a landing mode or not can be estimated, so that the intelligent performance and the value of the Internet of things can be guaranteed.

Description

Method and system for inspecting equipment of Internet of things
Technical Field
The invention relates to the technical field of accounting devices, in particular to an inspection method and system for equipment of the Internet of things.
Background
At present, technologies such as the internet of things are widely applied to various industries, such as intelligent buildings, intelligent parks and intelligent equipment connected with the internet of things are increasingly in quantity and scale, and the complexity of the equipment is also increasingly high.
After the equipment realizes the internet of things application, the operation of the project gradually depends on the reliability and availability of the intelligent system or equipment, on the other hand, the operation and maintenance management of the intelligent system or equipment has very strong specialization, and has a huge contradiction with the knowledge level of the traditional project manager, and the contradiction is gradually expanding.
How to realize the self-checking of the intelligent equipment and ensure the operability of the intelligent system and the equipment, and simultaneously reduce the difficulty of the management of the artificial operation and maintenance is one of the difficulties encountered in the development of the Internet of things and related industries.
In the prior art, equipment inspection application is very wide, and is mainly used for operation and maintenance management of industrial equipment. However, the conventional equipment inspection or equipment operation and maintenance mode is single, and a passive inspection method, such as manual inspection, is mainly adopted to record equipment fault and alarm occurrence data, or an operation and maintenance management system records the fault alarm data for statistical analysis, and the evaluation method has hysteresis, so that effective evaluation and early warning on the running state or health of the intelligent equipment cannot be realized.
The invention discloses a method and a device for early warning operation and maintenance of equipment, a computer device and a storage medium, wherein the method and the device are disclosed in an invention patent publication (application number: CN 201811181532.4) which is used for analyzing the normal operation probability of the equipment under the influence of alarm and the normal operation probability of the equipment under the influence of defects by acquiring the alarm data and the inspection data of the equipment in a history record, so as to obtain the overall health degree of the equipment, and finally carrying out early warning operation and maintenance on the equipment according to the overall health degree; the method is suitable for industrial control equipment fault and health degree prediction, but the data analysis and evaluation dimension only has a shutdown fault rate, the abnormal condition of data collected by equipment cannot be analyzed except the operation fault of the equipment, the judgment dimension of the equipment health degree is not comprehensive enough, and meanwhile, the method cannot be applied to intelligent equipment of the Internet of things due to the fact that a complete closed-loop equipment operation and maintenance alarm treatment flow is not available.
The invention discloses a method, a device, a computer device and a storage medium for inspecting equipment of the Internet of things, wherein the invention patent publication (application number: CN 202010568174.3) discloses that by acquiring an inspection task and a task identifier of the equipment of the Internet of things, corresponding configuration information and label information are acquired, character characteristic data of the Internet of things are matched, inspection personnel matched with the inspection equipment are acquired, key inspection item information is obtained, a work order is generated and issued to the inspection personnel for execution; the method is mainly used for improving the accuracy of equipment inspection, namely, the important inspection items of different equipment are issued to inspection staff after being matched, which is equivalent to the generation of an equipment knowledge base during inspection, thereby being beneficial to the execution operation of the inspection staff.
Disclosure of Invention
The invention solves the problems existing in the prior art and provides an optimized method and system for inspecting equipment of the Internet of things.
According to the technical scheme, the method is used for multi-dimensional inspection of the equipment in any area of the Internet of things, the health degree of the type of equipment is further judged by judging the operation health degree of the equipment, and finally the operation health degree of the equipment in the whole area is evaluated.
Preferably, the inspection includes equipment self-inspection and manual inspection.
Preferably, an equipment model is built based on the equipment self-inspection, and the equipment model comprises:
An entity resource layer for implementing the final operation on the entity of the device;
the abstract layer is used for abstracting the equipment entity of the entity resource layer into virtual equipment and is provided with a service list for describing the self-inspection correlation of the equipment;
a presentation layer for enabling a user to quickly access device resources;
And the application layer is used for interacting with the upper business system, converting the requirement of the business system into the operation on the equipment resources, and finishing the business application requirement in cooperation with a plurality of equipment resources to realize the application function.
Preferably, the equipment self-inspection comprises self-inspection based on the offline state, data abnormality and equipment failure of equipment;
The device in the offline state comprises an active reporting device, a heartbeat device, a timing service device and an event triggering device;
the data anomalies include transient data anomalies and periodic class data anomalies;
the equipment fault is fault information detected in the Internet of things equipment;
And obtaining the characteristics of the equipment integrity rate and the equipment risk rate based on the self-inspection content, and obtaining the equipment availability based on the equipment integrity rate and the equipment risk rate.
Preferably, the equipment work order processing rate of any equipment is obtained, and the direct feedback of the equipment work order receiving and processing conditions on the project is evaluated according to the equipment work order processing rate; obtaining equipment work order processing rate based on work order receiving aging and work order processing aging;
And obtaining the equipment health degree based on the equipment work order processing rate and the equipment availability.
Preferably, the manual inspection obtains the equipment inspection task work order through the handheld terminal, the scanning equipment identifies the mark, obtains the equipment inspection content, inspects the equipment one by one according to the inspection content, fills in the feedback content, and reports the feedback content to the system.
An internet of things equipment inspection system adopting the internet of things equipment inspection method, the system comprising:
the equipment inspection management system is used for comprehensively managing equipment and inspection thereof;
The one or more internet of things devices are used for realizing different functions and feeding back self-inspection data to the device inspection management system;
the equipment inspection terminal is used for manually inspecting the equipment and feeding the inspected data back to the equipment inspection management system;
The equipment inspection management system, the Internet of things equipment and the equipment inspection terminal are connected to the same local area network.
Preferably, the equipment inspection management system comprises:
The product management module is internally provided with an equipment model and is used for defining basic information, data endpoint definition, self-checking attribute and early warning rule of equipment;
the equipment ledger management module is used for adding or importing equipment lists in batches, matching with the product management module when adding equipment, and setting equipment inspection information;
the equipment self-inspection execution engine is used for matching with the product management module and triggering and executing corresponding actions;
And the manual inspection task module is matched with the equipment inspection terminal and is used for triggering a manual inspection task work order.
Preferably, the device self-inspection execution engine comprises a device data trigger engine and a self-inspection timing engine;
The equipment data trigger engine completes self-inspection after obtaining the data stream;
The self-checking timing engine completes self-checking at preset time intervals.
Preferably, the equipment inspection terminal is provided with a plurality of configurable functional modules, and the functional modules comprise a message pushing module, a backlog module, a self-inspection reporting module, a work order management module, a report repair module and an equipment data monitoring module.
The invention relates to an optimized method and system for inspecting equipment of the Internet of things, wherein the method performs multidimensional inspection on the condition of equipment in any area of the Internet of things, and the health degree of the type of equipment is further judged by judging the operation health degree of the equipment, and finally the operation health degree of the equipment in the whole area is evaluated; the system uses the equipment inspection management system to comprehensively manage the equipment and the inspection thereof, uses one or more pieces of equipment of the Internet of things to realize different functions, feeds the self-inspection data back to the equipment inspection management system, uses one or more pieces of equipment inspection terminals to manually inspect the equipment and feeds the inspected data back to the equipment inspection management system; the equipment inspection management system, the Internet of things equipment and the equipment inspection terminal are connected to the same local area network.
The invention not only aims at the inspection and operation and maintenance management of the equipment, but also judges the operation health degree of the equipment in the project dimension, such as an intelligent park or a building through the inspection condition of the equipment, further judges the health degree of the equipment, and finally can accurately evaluate the operation health degree of the equipment of the whole project, on one hand, the invention can carry out comparison evaluation on various equipment suppliers, on the other hand, the invention can evaluate whether the intelligent system and the equipment of the project really fall to the ground for use, and ensures that the intelligent performance and the value of the Internet of things can be exerted.
Drawings
Fig. 1 is a schematic structural diagram of a system in the present invention, wherein solid arrows show information interaction of self-inspection of equipment, and broken arrows show information interaction of manual inspection.
Detailed Description
The present invention will be described in further detail with reference to examples, but the scope of the present invention is not limited thereto.
The invention relates to an equipment inspection method of the Internet of things, which is used for carrying out multi-dimensional inspection on the conditions of equipment in any area of the Internet of things, judging the health degree of the type of equipment by judging the operation health degree of the equipment, and finally evaluating the operation health degree of the equipment in the whole area.
The inspection comprises equipment self-inspection and manual inspection.
In the invention, the multi-dimensional inspection is mainly equipment self-inspection and is assisted by manual inspection; aiming at the situation that all automatic inspection data acquisition cannot be realized by partial internet of things equipment or the automatic inspection cannot be realized, for example, whether the appearance of the equipment is good or not and whether the running environment of the equipment is normal or not, manual inspection is still needed to be used as supplement.
Establishing an equipment model based on the equipment self-inspection, wherein the equipment model comprises:
An entity resource layer for implementing the final operation on the entity of the device;
the abstract layer is used for abstracting the equipment entity of the entity resource layer into virtual equipment and is provided with a service list for describing the self-inspection correlation of the equipment;
a presentation layer for enabling a user to quickly access device resources;
And the application layer is used for interacting with the upper business system, converting the requirement of the business system into the operation on the equipment resources, and finishing the business application requirement in cooperation with a plurality of equipment resources to realize the application function.
The equipment self-inspection comprises self-inspection based on the offline state, data abnormality and equipment failure of equipment;
The device in the offline state comprises an active reporting device, a heartbeat device, a timing service device and an event triggering device;
the data anomalies include transient data anomalies and periodic class data anomalies;
the equipment fault is fault information detected in the Internet of things equipment;
And obtaining the characteristics of the equipment integrity rate and the equipment risk rate based on the self-inspection content, and obtaining the equipment availability based on the equipment integrity rate and the equipment risk rate.
Acquiring the equipment work order processing rate of any equipment, and evaluating direct feedback on the equipment work order receiving and processing conditions on the project according to the equipment work order processing rate; obtaining equipment work order processing rate based on work order receiving aging and work order processing aging;
And obtaining the equipment health degree based on the equipment work order processing rate and the equipment availability.
In the invention, for equipment self-inspection, firstly, an Internet of things equipment model, or rather an 'object model', is established, and the data of the Internet of things equipment are definitely defined, especially the self-inspection content and standard aiming at the equipment of the object model.
In the invention, in order to eliminate the isomerism of the terminals of the Internet of things, a unified form is needed to model the terminals, and the difference between the terminals is shielded; the device model is divided into four layers, the entity resource layer is the basis of the whole resource model, the final operation is realized on the device entity, the abstract layer is the basis for realizing the coordination and unified management of the device resource, the entity is abstracted into virtual device resource equipment, the autonomous coordination management is realized, and the representation layer enables a user to quickly access the device resource by utilizing a cloud computing technology; the application layer is mainly used for interacting with an upper business system, converting the requirements of the business system into operations on equipment resources, and finishing business application requirements in cooperation with a plurality of equipment resources.
In the invention, the service list related to the self-inspection of the descriptive equipment of the abstract layer comprises data attributes, self-inspection modes, time intervals and the like for expressing the self-inspection of the equipment.
According to the invention, the application layer can realize the application functions of equipment self-inspection task planning, self-inspection day/week/month report forms, project equipment operation and maintenance data visual signboards and the like.
In the present invention, generally, description contents of the device model include:
Product name and product model;
communication mode and product type;
service list and manufacturer;
product description and product pictures;
The service list comprises data endpoints, self-checking attributes and early warning rules;
The data end point comprises an end point name, a data type, a value range, a unit symbol, a read-write attribute and an end point description;
the self-checking attribute comprises a self-checking mode, a time interval, an associated endpoint and a threshold condition;
The early warning rule comprises an early warning mode, early warning conditions, an early warning threshold value, early warning content, early warning level and early warning description.
In the invention, in an offline state, only equipment or a system of the active reporting equipment supports active reporting of offline information, the heartbeat equipment refers to that heartbeat information exists between the equipment and the system, the timing service equipment, namely, the equipment periodically reports service data to the system, and the event triggering equipment refers to that the equipment and the system have no information interaction under normal conditions and report data only when an emergency occurs; the various device offline state determination policies may be set by one of ordinary skill in the art based on requirements.
In the invention, in the data abnormality, the instantaneous data abnormality is that if the data collected by the equipment is not in a value range defined by the data, or dirty data such as abrupt change, peak and the like exists in the collected data, the periodic data abnormality comprises that the data is not changed for a long time, the equipment is frequently on-line and off-line, the data reporting frequency is greatly changed and the like, and the periodic data abnormality is the main content for judging the potential risk of the equipment.
In the invention, the equipment fault refers to fault information detected in the equipment of the Internet of things and is sent to a system, for example, the battery power of battery-powered equipment is low, the equipment sensor is faulty and the like, and the judgment depends on the equipment.
In the invention, the health degree is jointly estimated by the equipment availability and the equipment work order processing rate.
In the invention, the equipment availability is used for evaluating the self condition of equipment on a project, and the equipment work order processing rate is the evaluation of equipment fault handling and operation and maintenance execution conditions from the project; wherein, in general, the equipment availability is weighted by 0.6, and the equipment work order processing rate is weighted by 0.4.
In the invention, the availability of the equipment is comprehensively evaluated from the equipment perfection rate and the equipment risk rate, wherein the equipment perfection rate refers to the normal equipment number duty ratio (namely equipment for removing offline, fault and instantaneous data abnormality) in the item range, and the equipment risk rate refers to equipment with periodic data abnormality in the item range; an evaluation criterion is given in table 1.
Table 1 device usability assessment criteria
That is, the device availability p=device integrity rate 0.4+device risk rate 2+device maintenance completion 0.2+manual inspection completion 0.2.
In the invention, the processing rate of the equipment work order is an operation and maintenance means for evaluating from the processing angle of the equipment report repair work order and guaranteeing the availability of equipment, and the operation and maintenance means are used for evaluating the direct feedback of the access and processing conditions of the equipment work order on projects; an evaluation criterion is given as shown in table 2.
Table 2 equipment worksheet handling rate evaluation criteria
That is, the equipment work order handling rate q=work order access time rate 0.4+work order handling time rate 0.6.
Based on this, the project equipment health j=p 0.6+q 0.4 is obtained.
The manual inspection is carried out by acquiring an equipment inspection task work order through the handheld terminal, scanning equipment identification, acquiring equipment inspection content, checking equipment one by one according to the inspection content, filling in feedback content, and reporting to the system.
In the manual inspection, an inspector acquires an equipment inspection task work order through an equipment inspection terminal, scans electronic tags such as an equipment two-dimensional code or an identification NFC/RFID, acquires equipment inspection content, inspects the equipment one by one according to the inspection content, fills in feedback content, and reports the feedback content to a system.
Specifically, the system registers equipment accounts for each Internet of things equipment and configures inspection information such as inspection frequency, inspection interval, inspection content and inspection responsibility people; the system automatically generates a patrol task work order according to the set patrol frequency and patrol interval, and pushes the task to a set patrol responsible person; and the equipment inspection terminal of the inspection responsibility person receives the inspection task work order and starts to execute the inspection task. Acquiring set equipment inspection content by scanning equipment two-dimensional codes or identifying electronic tags such as NFC/RFID and the like, and performing inspection operation on the equipment; and (3) confirming whether each inspection content is normal or not, and recording fault problems and reporting feedback when the inspection content is abnormal. Particularly, on-site photographing or small video recording reporting is supported, and an equipment report work order can be directly generated for the fault equipment.
An internet of things equipment inspection system adopting the internet of things equipment inspection method, the system comprising:
the equipment inspection management system is used for comprehensively managing equipment and inspection thereof;
the equipment inspection management system comprises:
The product management module is internally provided with an equipment model and is used for defining basic information, data endpoint definition, self-checking attribute and early warning rule of equipment;
the equipment ledger management module is used for adding or importing equipment lists in batches, matching with the product management module when adding equipment, and setting equipment inspection information;
the equipment self-inspection execution engine is used for matching with the product management module and triggering and executing corresponding actions;
The equipment self-inspection execution engine comprises an equipment data trigger engine and a self-inspection timing engine;
The equipment data trigger engine completes self-inspection after obtaining the data stream;
The self-checking timing engine completes self-checking at preset time intervals.
And the manual inspection task module is matched with the equipment inspection terminal and is used for triggering a manual inspection task work order.
The one or more internet of things devices are used for realizing different functions and feeding back self-inspection data to the device inspection management system;
the equipment inspection terminal is used for manually inspecting the equipment and feeding the inspected data back to the equipment inspection management system;
The equipment inspection terminal is internally provided with a plurality of configurable functional modules, wherein the functional modules comprise a message pushing module, a backlog module, a self-inspection reporting module, a work order management module, a report repair module and an equipment data monitoring module.
The equipment inspection management system, the Internet of things equipment and the equipment inspection terminal are connected to the same local area network.
In the invention, the equipment model is embedded in the product management module to define basic information (product name, product model, communication mode, manufacturer, etc.), data endpoint definition (endpoint name, data type, value range, unit symbol, etc.), self-checking attribute (self-checking mode, time interval, associated endpoint, threshold condition, etc.), and early warning rule (early warning mode, early warning condition, early warning threshold, etc.).
In the invention, all the equipment needs to be added to the system, an equipment list can be added or imported in batches through an equipment ledger management module, corresponding product names are selected when the equipment is added, the product names are associated to corresponding equipment object models, and equipment manual inspection information is set;
For example, the device information import table structure includes a device name, a device SN, a product ID, an affiliated item, an installation location, a ledger number, and an installation date; the manual inspection information configuration table structure comprises whether inspection is performed, inspection responsibility people, inspection frequency, inspection interval, reminding time, first inspection date and inspection content.
In the invention, the system is executed by a rule engine according to the self-checking attribute configured in the equipment object model.
In the invention, the triggering information of the equipment data triggering engine comes from self-checking attribute judgment, including associated endpoint value judgment, equipment offline information and equipment heartbeat information; when the associated endpoint value judges and triggers, resetting a self-checking timer, or generating equipment fault alarm, or generating data abnormal alarm; when the equipment offline message is triggered, generating equipment offline alarm; and when the heartbeat information of the equipment is triggered, resetting the self-checking timer.
In the invention, the triggering of the self-checking timing engine comprises the steps of not receiving new data, not receiving heartbeat information or judging according to the data period attribute, wherein the former two generate equipment offline alarm, and the last generates data abnormal alarm.
According to the invention, the system automatically generates the self-inspection report according to the self-inspection rule of the equipment, and can generate the self-inspection reports with different dimensions according to the day, week and month so as to support online preview and downloading.
In the invention, in the equipment inspection terminal:
The message pushing module supports pushing message notification to the mobile terminal APP of the inspector, including inspection task arrival notification, task overtime notification and the like;
and the inspection management module is used for receiving the manual inspection task generated by the system, starting the inspection task and executing the job to check the execution condition of the inspection task.
And the self-inspection report module can check the content of the self-inspection report of the equipment generated by the system, including daily reports, weekly reports and monthly reports.
And the work order management module receives the new work order, and can select the work order to be processed by itself or dispatch others to be processed after knowing the detailed condition of the work order. The worksheet may include a variety of service types for repair, maintenance, etc.
And the newspaper repair module can be used for directly adding a newspaper on the APP to register the content and keep the picture when the patrol personnel find the equipment maintenance, sanitation and safety problems.
The data monitoring module can check various Internet of things equipment monitoring data in real time, and also can check equipment early warning history records, current to-be-processed early warning information and the like.

Claims (6)

1. The method for inspecting the equipment of the Internet of things is characterized by comprising the following steps of: the method comprises the steps of carrying out multi-dimensional inspection on the conditions of equipment in any area of the Internet of things, wherein the multi-dimensional inspection comprises equipment self-inspection and manual inspection, judging the health degree of the type of equipment by judging the operation health degree of the equipment, and finally evaluating the operation health degree of the equipment in the whole area;
Establishing an equipment model based on the equipment self-inspection, wherein the equipment model comprises:
An entity resource layer for implementing the final operation on the entity of the device;
the abstract layer is used for abstracting the equipment entity of the entity resource layer into virtual equipment and is provided with a service list for describing the self-inspection correlation of the equipment;
a presentation layer for enabling a user to quickly access device resources;
the application layer is used for interacting with an upper business system, converting the requirements of the business system into the operation on equipment resources, and finishing business application requirements in cooperation with a plurality of equipment resources to realize application functions;
The equipment self-inspection comprises self-inspection based on the offline state, data abnormality and equipment failure of equipment;
The device in the offline state comprises an active reporting device, a heartbeat device, a timing service device and an event triggering device;
the data anomalies include transient data anomalies and periodic class data anomalies;
the equipment fault is fault information detected in the Internet of things equipment;
Acquiring the characteristics of the equipment integrity rate and the equipment risk rate based on the self-inspection content, and acquiring the equipment availability based on the equipment integrity rate and the equipment risk rate; the equipment availability is related to the equipment integrity rate, the equipment risk rate, the equipment maintenance completion degree and the manual inspection completion degree;
Acquiring the equipment work order processing rate of any equipment, and evaluating direct feedback on the equipment work order receiving and processing conditions on the project according to the equipment work order processing rate; obtaining equipment work order processing rate based on work order receiving time efficiency and work order processing time efficiency, wherein the equipment work order processing rate is related to the work order receiving time efficiency and the work order processing time efficiency;
And obtaining the equipment health degree based on the equipment work order processing rate and the equipment availability.
2. The method for inspecting equipment of the internet of things according to claim 1, wherein the method comprises the following steps: the manual inspection is carried out by acquiring an equipment inspection task work order through the handheld terminal, scanning equipment identification, acquiring equipment inspection content, checking equipment one by one according to the inspection content, filling in feedback content, and reporting to the system.
3. An internet of things equipment inspection system adopting the internet of things equipment inspection method according to one of claims 1-2, which is characterized in that: the system comprises:
the equipment inspection management system is used for comprehensively managing equipment and inspection thereof;
The one or more internet of things devices are used for realizing different functions and feeding back self-inspection data to the device inspection management system;
the equipment inspection terminal is used for manually inspecting the equipment and feeding the inspected data back to the equipment inspection management system;
The equipment inspection management system, the Internet of things equipment and the equipment inspection terminal are connected to the same local area network.
4. The internet of things equipment inspection system of claim 3, wherein: the equipment inspection management system comprises:
The product management module is internally provided with an equipment model and is used for defining basic information, data endpoint definition, self-checking attribute and early warning rule of equipment;
the equipment ledger management module is used for adding or importing equipment lists in batches, matching with the product management module when adding equipment, and setting equipment inspection information;
the equipment self-inspection execution engine is used for matching with the product management module and triggering and executing corresponding actions;
And the manual inspection task module is matched with the equipment inspection terminal and is used for triggering a manual inspection task work order.
5. The internet of things equipment inspection system of claim 4, wherein: the equipment self-inspection execution engine comprises an equipment data trigger engine and a self-inspection timing engine;
The equipment data trigger engine completes self-inspection after obtaining the data stream;
The self-checking timing engine completes self-checking at preset time intervals.
6. The internet of things equipment inspection system of claim 3, wherein: the equipment inspection terminal is internally provided with a plurality of configurable functional modules, wherein the functional modules comprise a message pushing module, a backlog module, a self-inspection reporting module, a work order management module, a report repair module and an equipment data monitoring module.
CN202210113643.1A 2022-01-30 2022-01-30 Method and system for inspecting equipment of Internet of things Active CN114500316B (en)

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