Intelligent inspection equipment and inspection method

Abstract

An equipment system comprises an intelligent inspection equipment terminal, the intelligent inspection equipment terminal is electrically connected with an Internet of Things module, and the Internet of Things module is in communication connection with an intelligent inspection robot, warehouse inspection and tray integrated equipment, an equipment monitoring sensor and a monitoring camera; the intelligent inspection equipment terminal comprises an operation and maintenance simulation platform, a digital twin platform, a health assessment platform, a safety warning platform, a fault database and a display module. The method comprises the following steps: S1, arranging inspection points and inspection routes; s2, inspection and monitoring; s3, monitoring a key area; s4, preprocessing and analyzing the data information; s5, building a virtual metering production line and a storage warehouse; s6, health assessment analysis and display; s7, core area management and control; the intelligent inspection system has the advantages of intelligent inspection, health and fault analysis and improvement of facility control force.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent inspection, and more specifically, particularly relates to an intelligent inspection device. Meanwhile, the present invention also relates to an inspection method. Background Art

[0002] Since the single-phase and three-phase assembly lines and intelligent storage systems of the Power Supply Service Supervision and Support Center were put into operation, they have played a huge role in the smooth and orderly operation of metering work. Due to the large scale and high degree of automation of the single-phase and three-phase assembly lines and intelligent storage systems, the Power Supply Service Supervision and Support Center uses third-party operation and maintenance personnel to carry out the operation and maintenance of the single-phase and three-phase assembly lines and intelligent storage systems. The center has weak control over the operation and maintenance work, and the operating status of some equipment cannot be objectively and comprehensively grasped, resulting in the inability to comprehensively and effectively measure the operation and maintenance quality.

[0003] In order to ensure the normal operation of the equipment and the safety of the operation and maintenance personnel during operation, at least two people are required to patrol the production site. During the patrol, the operation and maintenance personnel are mainly responsible for monitoring the workflow of the automated calibration system, executing the monitoring and patrol work requirements, and completing the operation status of each functional unit, calibration quality, laboratory temperature and humidity environment, distribution box and water supply facilities, fire safety and air conditioning system, workshop lighting and ceiling, doors and windows, etc. at regular times and locations. At present, manual monitoring patrols are divided into daily patrols and regular patrols. Daily patrols require regular and fixed-point patrols of equipment in routine operation, equipment power on and off status, workshop environment and calibration quality control; regular patrols require regular and comprehensive inspections of all system equipment, laboratory lighting, fire safety and air conditioning systems, especially areas that are not frequently entered or more dangerous areas. The number and duration of personnel input for on-site patrols alone are very large, and there is also a risk of safety accidents during the operation and maintenance process, which urgently needs to be replaced by intelligent methods.

[0004] At present, the Power Supply Service Supervision and Support Center has some major problems in the operation and maintenance of metering production facilities, which are summarized as follows:

[0005] 1) Operation and maintenance methods:

[0006] 1) Traditional operation and maintenance management is manual, with scattered scope and low efficiency;

[0007] 2) Lack of accumulation of operation and maintenance knowledge;

[0008] 3) Spare parts are managed through manual accounting and lack online management methods.

[0009] II) Production facility control:

[0010] 1) There is a lack of monitoring means with in-depth perception capabilities for the operating conditions of metrological production facilities;

[0011] 2) Lack of intuitive and easy-to-understand facility control display methods;

[0012] 3) Fault detection relies on manual inspections every day, which is passive operation and maintenance, affecting the improvement of verification production efficiency;

[0013] 4) Delayed handling of on-site problems and difficulty in closed-loop control;

[0014] 5) The operation and maintenance process is overly dependent on the experience and professional skills of the operation and maintenance personnel, and lacks auxiliary means;

[0015] 3) On-site safety control:

[0016] 1) Personnel authority management relies on manual supervision and lacks intelligent means of control;

[0017] 2) There is a lack of intelligent means of supervision for on-site safety.

[0018] Intelligent management is carried out for the single-phase three-phase assembly lines and intelligent storage system facilities in the metrology production process, and automated inspections are used to realize unmanned inspections at the operation site, thereby improving the intelligence level of the metrology center management and reducing the workload of on-site workers. Multi-dimensional information perception capabilities are built to achieve comprehensive closed-loop control of equipment at all links of the operation site, monitor and warn of risks in production, and ensure that all resources and production behaviors of the metrology center are under control and can be controlled. A life cycle process monitoring model for equipment is constructed to accurately realize the rapid response capability to faults and intelligent guidance for fault handling, greatly reducing production stoppages caused by faults, improving the production capacity of the metrology calibration line, and reducing dependence on on-site personnel, saving a lot of labor costs. Interactions and resource sharing between various lines are strengthened to improve the overall production efficiency of metrology, and resources are integrated to reduce repetitive work and resource waste in the process of material storage. A comprehensive display of the overall production and operation status and business results of the metrology center is presented to show the overall picture of the metrology center's production, reflect the comprehensive strength of the metrology center, and enhance its external image. Summary of the invention

[0019] In view of the problems existing in the prior art, the purpose of the present invention is to provide an intelligent inspection device and an inspection method, which can realize unmanned inspection at the work site through automated inspection, thereby improving the intelligence level of measurement center management.

[0020] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent inspection device, comprising an intelligent inspection device terminal, the intelligent inspection device terminal is electrically connected to an Internet of Things module for communicating and transmitting data information, the Internet of Things module is respectively connected to the intelligent inspection robot, the warehouse inspection device, the equipment monitoring sensor and the monitoring camera for communication, and is used to transmit the collected data information;

[0021] The intelligent inspection equipment terminal includes an operation and maintenance simulation platform, a digital twin platform, a health assessment platform, a safety warning platform, a fault database and a display module. The operation and maintenance simulation platform is used to build a virtual metering production line and a storage warehouse to achieve machine-picture synchronization between virtual and real production lines. The digital twin platform is used to upload the production status in real time and visualize it. The equipment operation status and the production status of the calibration conclusion of the measuring instrument are visualized. The health assessment platform manages the health value of each production line facility and displays the health value. By using the hierarchical analysis method, the health status of the facility is scientifically evaluated and displayed in real time. The safety warning platform divides dangerous areas of different levels according to the distribution of on-site facilities, and classifies and manages the dangerous areas. When illegal personnel enter dangerous areas of different levels, the corresponding modules will make corresponding alarm reminders and push alarm information to the staff; the fault database will uniformly manage and configure faults according to events, problems, and requirements, and realize the management function of event / problem / requirement lists, including addition, deletion, modification, fault judgment, processing, resolution, feedback, one-key ignore and one-key resolution operations, and is used to compare and judge faults; the display module uses a panoramic large screen to display data information.

[0022] Optionally, the intelligent inspection device terminal includes a data processing module, and the data processing module is used to pre-process the transmitted data information, including decompression processing, cleaning processing, filtering processing, conversion processing and amplification processing of the data information.

[0023] A patrol inspection method comprises the following steps:

[0024] S1. By arranging inspection points and inspection routes, according to periodic or temporary inspection tasks, drive the intelligent inspection robot to carry out on-site inspection of metering production, and drive the warehouse inspection and inventory-taking equipment to realize the inspection of the warehouse area and the inventory of goods in the warehouse area;

[0025] S2, intelligent inspection robots and warehouse inspection equipment realize inspection monitoring through intelligent sensing equipment, and equipment monitoring sensors are used to detect the operation status of equipment in the production line;

[0026] S3. Monitoring cameras conduct all-round monitoring of key areas in the production process and link them with faults and anomalies in the production process;

[0027] S4. The intelligent inspection equipment terminal uses the Internet of Things module to pre-process and analyze the images and data information collected by the intelligent inspection robot, warehouse inspection equipment, equipment monitoring sensors and monitoring cameras;

[0028] S5. Build a virtual metering production line and storage warehouse through the operation and maintenance simulation platform and the digital twin platform to achieve machine-drawing synchronization between the virtual and real production lines, conduct real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status, and calibration status of the current line warehouse, and display the data information on the display module;

[0029] S6. The health assessment platform obtains the fault information of the metering production facilities in real time through image recognition, intelligent sensing, facility operation conditions and health status evaluation, and associates it with the fault database, analyzes the cause of the fault, provides work guidance, manages the health value of each production line facility, displays the health value locally, and displays the data information on the display module;

[0030] S7. The security warning platform controls core areas through electronic fences, intrusion identification, and alarms. It identifies key behaviors and dangerous actions and issues local voice alarms to promptly remind operation and maintenance personnel to stay away from dangerous areas and enhance security control.

[0031] Optionally, the inspection points in S1 are set according to the physical layout of the on-site facilities, including the coordinates of the inspection points, inspection objects and inspection items; the inspection routes are selected according to the inspection needs, and the inspection points and inspection sequence are selected to generate automated inspection equipment inspection routes; periodic and temporary inspection tasks are manually formulated on demand; relying on the fault database, combined with the facility operation status and facility health status, the inspection points and single-point inspection frequency of periodic inspection tasks are intelligently adjusted.

[0032] Optionally, the intelligent sensing device in S2 includes a high-definition camera, an infrared thermal imager and an environmental monitoring intelligent sensor, wherein the environmental monitoring intelligent sensor mainly includes a pm2.5 / pm10 sensor and a temperature and humidity sensor;

[0033] The infrared thermal imager is used to photograph and measure the working temperature of the current working unit surface;

[0034] The high-definition camera is used to intelligently identify abnormal situations such as operational failures of on-site line facilities, illegal personnel, and personnel behavior violations;

[0035] The temperature and humidity sensor is used to monitor the temperature and humidity of the environment where the current working unit of the inspection point is located;

[0036] The pm2.5 / pm10 sensor measures the air quality along the walking path.

[0037] Optionally, the equipment monitoring sensors in S2 include the following types:

[0038] The flow monitoring sensor is used to monitor the line connection points and the points where the box is easily stuck, and to determine whether the line flow is normal;

[0039] The noise monitoring sensor is used to be installed in places where the depalletizing unit and the stacking unit make a lot of noise, so as to monitor the operating conditions of the depalletizing unit and the stacking unit;

[0040] Three sensors, namely, compressed gas pressure, compressed gas temperature and compressed gas humidity, are installed at the air inlet and the end of the line to monitor whether the startup gas pressure has been reached;

[0041] The motor energy consumption monitoring sensor is used to monitor the power consumption of the motor;

[0042] The tilt monitoring sensor is installed on the fixed equipment of the aluminum profile frame structure to monitor the tilt angle due to the deformation of the frame;

[0043] The displacement monitoring sensor is installed on the fixed seat of the laser engraving unit to monitor the displacement of the engraving machine caused by accidental contact by personnel;

[0044] The water immersion monitoring sensor is installed under the inline humidifier / air conditioner outlet to monitor water leakage when the humidifier / air conditioner is working;

[0045] The speed monitoring sensors are installed on the main transmission track of the roller line, and are installed in groups of two to test whether the speeds of the front and rear ends of the same transmission link are synchronized, so as to determine whether there is a chain or belt transmission failure;

[0046] The soundprint monitoring sensor monitors the main transmission line motor and determines the operating status of the main transmission line motor by comparing and calculating the collected motor audio features;

[0047] The temperature monitoring sensor in the calibration chamber uses a non-contact industrial infrared temperature sensor to conduct multi-point matrix and wide-angle real-time temperature monitoring of the heating equipment in the calibration chamber;

[0048] The ground wire detection sensor monitors the quality of the power supply ground resistance in real time through the non-contact ground resistance online monitoring equipment.

[0049] Optionally, the operation and maintenance simulation platform and the operation and maintenance simulation real scene built by the digital twin platform in S5 include the following operation interfaces:

[0050] Scene roaming: The viewing angle can be adjusted automatically to achieve long-distance viewing and close-up inspection. When the viewing angle is adjusted to the actual channel position, the same-state mapping information and status of each dedicated aircraft are automatically displayed in a floating window;

[0051] Business monitoring: Real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status and calibration status of the current line warehouse;

[0052] Alarm center: In the operation and maintenance simulation scene, for special equipment, special equipment or points, the health status of the equipment in the current scene is updated in real time;

[0053] Panoramic display: By coupling various types of information from various terminal devices, using real-time video and simulation technology, real-time monitoring of the verification production process can be achieved, and visualization of production indicators can be achieved through statistics.

[0054] Optionally, the evaluation method of the health assessment platform in S6 is to perform a health evaluation on a component of a device, then perform a health evaluation on the device, and finally perform a facility health evaluation on the line body; and calculate the facility health value through a fusion algorithm, and display the health information in real time on the facility corresponding to the operation and maintenance simulation model;

[0055] When it is detected that the health value of a component, special machine or facility is lower than the set threshold, the system will automatically alarm and change the color of the corresponding facility on the operation and maintenance simulation model to prompt the staff to perform maintenance according to the prompt.

[0056] Optionally, the fault information diagnosis in S6 accumulates the fault handling experience of staff and metrology experts, and forms a fault intelligent diagnosis expert database and a fault intelligent diagnosis module fault database through algorithms. On-site operation and maintenance personnel can quickly judge and handle on-site faults with the experience support of the expert database;

[0057] Troubleshooting steps:

[0058] Automatic fault collection: When a facility has an alarm fault, the intelligent inspection robot automatically arrives at the fault location, takes photos and videos of the faulty facility, and automatically classifies and saves them according to the fault type;

[0059] Fault classification: Unified management and configuration of faults by events, problems, and requirements, and realization of the management functions of event / problem / requirement lists, including addition, deletion, modification, fault determination, processing, resolution, feedback, one-key ignore, and one-key resolution operations;

[0060] Automatic generation of work orders: When an alarm fault occurs in a facility, a processing work order is automatically generated and tracked to the individual to form a closed-loop control. According to the permissions of different personnel, the work order is pushed to the relevant staff. If it is not processed within the time limit, it will be pushed to the administrator.

[0061] Automatic fault recovery: By analyzing the causes of on-site faults, control logic and related work experience, we can detect common faults in the production process, self-diagnose faults, handle faults on control equipment, and detect a series of fault self-recovery operations after troubleshooting, so as to achieve self-recovery of common faults in the production process;

[0062] Automatic generation of treatment opinions: After an alarm fault occurs in a facility, the fault database automatically compares and determines similar faults and treatment opinions. If there are similar faults, treatment opinions are prompted. If not, the fault is handled on site and entered into the knowledge base to achieve knowledge base upgrade;

[0063] Fault repair: Based on the fault handling suggestions and the experience support from the expert database, on-site operation and maintenance personnel can quickly handle on-site faults;

[0064] Fault database: Collect fault alarm phenomena, causes and solutions of various production facilities to form a fault database, refine fault handling experience, and support rapid handling of subsequent faults.

[0065] Optionally, the regional control in S7 includes the following contents:

[0066] Crossing the cordon: When the target crosses the set cordon, an alarm is generated, which can distinguish the direction of crossing the cordon, and can distinguish between one-way alarm and two-way alarm;

[0067] Entering the area, when the target enters from outside the set detection area, an alarm is generated;

[0068] Leaving the area: when the target leaves the set detection area, an alarm is generated;

[0069] Area intrusion: when the target stays in the set detection area for more than the set time, including static and moving, an alarm is generated;

[0070] Smart cameras are also installed at the entrances and exits of the laboratory to perform intelligent personnel management based on facial recognition.

[0071] Technical effects and advantages of the present invention:

[0072] The present invention realizes the intelligent transformation of the power supply service supervision and support center in a process-driven and intelligent-driven manner. By introducing advanced technologies such as artificial intelligence and the Internet of Things, it realizes real-time perception, holographic interconnection, autonomous early warning, and intelligent disposal of the operation of metering production facilities, overcoming the problems of high labor intensity and many subjective factors in the traditional model, realizing the transformation of on-site management from manual to intelligent, and helping to improve the quality and efficiency of the power supply service supervision and support center management work under the new power system that is safe, controllable, flexible, efficient, intelligent, friendly, open and interactive;

[0073] Improve the detection capacity of electric energy meters. Through the intelligent improvement of single-phase three-phase assembly lines and intelligent storage system operation and maintenance, it can realize real-time monitoring of equipment operation status. Through the analysis of operating conditions, possible fault points can be predicted, so as to achieve early warning and organize targeted processing to avoid production stoppage and energy reduction due to faults.

[0074] The management and service levels are improved, which makes up for the lack of intelligent means in the management of metrological production facilities, further improves the management level of the whole life cycle of metrological assets, meets the needs of efficient calibration of metrological instruments, and realizes the full process supervision of the management process of metrological production facilities, which is conducive to improving the service level and realizing the lean management of metrological assets;

[0075] The intelligent and unmanned level of the power supply service supervision and support center has been improved. The power supply service supervision and support center has concentrated a large number of advanced equipment and high-quality talents. Through the intelligent improvement of single-phase three-phase assembly line and intelligent warehousing system operation and maintenance, it realizes the effective management of metering production facilities and provides strong technical support for improving the intelligent level of the power supply service supervision and support center.

[0076] It helps the power supply service supervision and support center to do a good job in lean management. By strengthening the input of knowledge, technology, management and other factors, it improves the productivity of all factors of the power supply service supervision and support center and improves the utilization rate of existing resources, which can not only bring considerable economic benefits but also bring immeasurable social benefits.

[0077] It solves the problem of insufficient control over metrology production facilities and over-reliance on manufacturers in the process of metrology production by the Power Supply Service Supervision and Support Center, realizes the monitoring of all links in the whole process of metrology production, ensures the transparency, compliance and accuracy of each process of metrology instrument testing, ensures accurate and fair measurement, and is conducive to consolidating the status of statutory metrology verification institutions;

[0078] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 It is a schematic diagram of the equipment system provided by the present invention;

[0080] Figure 2 It is a schematic diagram of the steps provided by the present invention;

[0081] Figure 3 It is a schematic diagram of the fault diagnosis step flow provided by the present invention. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0083] like Figure 1As shown, an intelligent inspection device provided by an embodiment of the present invention includes an intelligent inspection device terminal, and an Internet of Things module for communicating and transmitting data information is electrically connected to the intelligent inspection device terminal, and the Internet of Things module is respectively connected to the intelligent inspection robot, the warehouse inspection integrated device, the equipment monitoring sensor and the monitoring camera for transmitting the collected data information;

[0084] The intelligent inspection equipment terminal includes an operation and maintenance simulation platform, a digital twin platform, a health assessment platform, a safety warning platform, a fault database and a display module. The operation and maintenance simulation platform is used to build a virtual metering production line and a storage warehouse to achieve machine-picture synchronization between virtual and real production lines. The digital twin platform is used to upload the production status in real time and visualize it. The equipment operation status and the production status of the calibration conclusion of the measuring instrument are visualized. The health assessment platform manages the health value of each production line facility and displays the health value. By using the hierarchical analysis method, the health status of the facility is scientifically evaluated and displayed in real time. The safety warning platform divides dangerous areas of different levels according to the distribution of on-site facilities, and classifies and manages the dangerous areas. When illegal personnel enter dangerous areas of different levels, the corresponding modules will make corresponding alarm reminders and push alarm information to the staff; the fault database will uniformly manage and configure faults according to events, problems, and requirements, and realize the management function of event / problem / requirement lists, including addition, deletion, modification, fault judgment, processing, resolution, feedback, one-key ignore and one-key resolution operations, and is used to compare and judge faults; the display module uses a panoramic large screen to display data information.

[0085] Specifically, the intelligent inspection equipment terminal includes a data processing module, which is used to pre-process the transmitted data information, including decompression, cleaning, filtering, conversion and amplification of the data information;

[0086] Identify and delete duplicate data records through cleaning to ensure data uniqueness, use mean, median, and interpolation methods to fill missing values ​​in the data, and identify and correct abnormal data points to maintain data consistency and accuracy;

[0087] The outliers in the data are detected, and the calculation formula for the detection is as follows:

[0088]

[0089] Among them, LRD (p) It is the local density metric corresponding to the data in the local anomaly factor algorithm, which is used to measure the density of the point p corresponding to the data, and is calculated based on the reachable distance of the neighbors of the point p corresponding to the data; W k,d(p,o) is a dynamic adjustment factor, which dynamically adjusts the weight according to the relative density or other features of the point p corresponding to the data and its neighbor o; R k (o,p) is the reachable distance from point p to o corresponding to the data;

[0090] The conversion process converts the format of the collected data information, and fuses the data information, integrates deep learning features, extracts high-level features of the data through deep learning, and then applies the LOF algorithm:

[0091] LOF d (p) = LOF k (features d (p)),

[0092] Among them, features d (p) is the feature vector extracted by the deep learning model;

[0093] Anomaly score threshold adjustment: adaptively adjust the anomaly score threshold based on the global statistical information of data distribution.

[0094] LOF a (p) = LOF k (p) threshold a ,

[0095] Among them, threshold a It is a threshold value adjusted based on global data statistics;

[0096] Graph structure optimization, treating data as a graph, and using graph theory methods to optimize distance calculation and density evaluation:

[0097]

[0098] Among them, gbd(p) and gbrd(p) are calculated based on the density and reachable distance of the graph model.

[0099] Then, the data collected by the data collection module is integrated, the data from different sources are merged into a unified data set, and the data in different tables are connected by common key values ​​through a connection operation; the data is grouped by specific fields and the aggregate value is calculated; the pivot table technology is used to summarize and analyze the data in multiple dimensions;

[0100] Filtering the data information, filtering the data collected by the data acquisition module through adaptive filtering, and the adaptive filtering parameters will be dynamically adjusted according to the statistical characteristics of the input signal, so as to process the diverse data collected by various sensors and improve the adaptability of filtering;

[0101] It should be noted that the adaptive filtering adopts the LMS algorithm, and in order to improve the stability of the LMS algorithm under different input signal strengths, the normalization of the input signal is introduced;

[0102] Output of the normalized filter: y(n) = w T (x(n)-e(n)), where y(n) is the output of the filter, and w T is the weight vector of the filter, x(n) is the input data, e(n) is the error, and the error is calculated as follows:

[0103] e(n)=d(n)-y(n), where d(n) is the desired filtering value and y(n) is the output of the filter;

[0104] Weight update:

[0105]

[0106] Among them, w(n) is the input weight, w(n+1) is the calculated updated weight, μ is the step size factor, which controls the speed and stability of weight adjustment, and x T (n) is the input data vector, ε is a small positive value to avoid division by zero, and λ is the regularization factor used to control the model complexity;

[0107] μ is the step size factor calculated as follows:

[0108] Among them, μ(n) is the dynamic step update value, ε is a small positive value to avoid division by zero, and x(n) is the input data

[0109] It should be noted that by preprocessing the data information, the accuracy of the data information can be improved, making it easier to perform subsequent calculations, analysis and processing of the data information.

[0110] like Figure 2-Figure 3 As shown, a patrol inspection method includes the following steps:

[0111] S1. By arranging inspection points and inspection routes, according to periodic or temporary inspection tasks, drive the intelligent inspection robot to carry out on-site inspection of metering production, and drive the warehouse inspection and inventory-taking equipment to realize the inspection of the warehouse area and the inventory of goods in the warehouse area;

[0112] S2, intelligent inspection robots and warehouse inspection equipment realize inspection monitoring through intelligent sensing equipment, and equipment monitoring sensors are used to detect the operation status of equipment in the production line;

[0113] S3. Monitoring cameras conduct all-round monitoring of key areas in the production process and link them with faults and anomalies in the production process;

[0114] S4. The intelligent inspection equipment terminal uses the Internet of Things module to pre-process and analyze the images and data information collected by the intelligent inspection robot, warehouse inspection equipment, equipment monitoring sensors and monitoring cameras;

[0115] S5. Build a virtual metering production line and storage warehouse through the operation and maintenance simulation platform and the digital twin platform to achieve machine-drawing synchronization between the virtual and real production lines, conduct real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status, and calibration status of the current line warehouse, and display the data information on the display module;

[0116] S6. The health assessment platform obtains the fault information of the metering production facilities in real time through image recognition, intelligent sensing, facility operation conditions and health status evaluation, and associates it with the fault database, analyzes the cause of the fault, provides work guidance, manages the health value of each production line facility, displays the health value locally, and displays the data information on the display module;

[0117] Analyze and process the data information through calculation and analysis, so as to obtain the health analysis report of the user according to the collected data information;

[0118] The calculation analysis is performed using the following formula:

[0119] p=w1X1+w2X2+…+w n X n =W T X+b,

[0120] Where X n It represents the detection index implemented. p is obtained by the LASSO linear regression model. The value range is [0, 1]. That is, p is the probability value of the facility being unhealthy, indicating the degree of unhealthiness. When the output value is 0, it means that the facility is healthy, and when the output value is 1, it means that the facility is unhealthy.

[0121] When the LASSO linear regression model outputs the health status of a facility, it calculates and determines the health probability of the facility, that is, it performs probability calculation based on the calculated p-value, and the calculation formula is as follows:

[0122] Among them, p is the health information of the output facility. The probability of health is calculated by Z, that is, the ratio of unhealthy to healthy. When the output value of Z is 2, the doubling coefficient PDO is introduced, and the health score is Score + PDO;

[0123] Score + PDO = AB*log(2*Z), where A is compensation and B is scale, both are constants, and Score is a linear expression of the logarithm of the ratio;

[0124] The expression formula of Score is as follows:

[0125] Score = AB*log(Z),

[0126] To get the values ​​of A and B, the calculation formula is as follows:

[0127]

[0128] A=Score c +B*ln(Z),

[0129] Where Z is the ratio of unhealthy to healthy, PDO = 10, substituting into the formula, we get A = 0.693147, B = 100. By setting A and B, the baseline score of the health index is 69;

[0130] S7. The security warning platform controls core areas through electronic fences, intrusion identification, and alarms. It identifies key behaviors and dangerous actions and issues local voice alarms to promptly remind operation and maintenance personnel to stay away from dangerous areas and enhance security control.

[0131] In a specific embodiment, the inspection points in S1 are set according to the physical layout of the on-site facilities, including the inspection point coordinates, inspection objects and inspection items; the inspection route is based on the inspection needs, the inspection points and inspection sequence are selected, and the automatic inspection equipment inspection route is generated; periodic and temporary inspection tasks are manually formulated on demand; relying on the fault database, combined with the facility operation status and facility health status, the inspection points and single-point inspection frequency of the periodic inspection tasks are intelligently adjusted;

[0132] It should be noted that by determining the coordinates, inspection objects and inspection items of each inspection point, it is convenient for the intelligent inspection robot to move along the inspection route, and to perform specific item detection on the inspection object, and to automatically adjust the inspection frequency and time cycle in combination with the fault database and the health status of the facility.

[0133] In a specific embodiment, the intelligent sensing device in S2 includes a high-definition camera, an infrared thermal imager and an environmental monitoring intelligent sensor, wherein the environmental monitoring intelligent sensor mainly includes a pm2.5 / pm10 sensor and a temperature and humidity sensor;

[0134] The infrared thermal imager is used to photograph and measure the working temperature of the current working unit surface;

[0135] The high-definition camera is used to intelligently identify abnormal situations such as operational failures of on-site line facilities, illegal personnel, and personnel behavior violations;

[0136] The temperature and humidity sensor is used to monitor the temperature and humidity of the environment where the current working unit of the inspection point is located;

[0137] The pm2.5 / pm10 sensor measures the air quality of the walking path;

[0138] It should be noted that: infrared thermal imagers, high-definition cameras, temperature and humidity sensors, and pm2.5 / pm10 sensors are installed on the intelligent inspection robot. By following the intelligent inspection robot and taking pictures, the infrared thermal imager is used to measure the working temperature of the current working unit surface, and the temperature and humidity sensors are used to measure the temperature and humidity of the current working unit environment, and the pm2.5 / pm10 sensors are used to measure the air quality of the walking path. The high-definition camera identifies key behaviors and dangerous actions and issues local voice alarms, so as to promptly remind operation and maintenance personnel to stay away from danger zones and enhance safety control, i.e., prevent personnel from approaching the intelligent inspection robot.

[0139] In a specific embodiment, the equipment monitoring sensors in S2 include the following types:

[0140] The flow monitoring sensor is used to monitor the line connection points and the points where the box is easily stuck, and to determine whether the line flow is normal;

[0141] The noise monitoring sensor is used to be installed in places where the depalletizing unit and the stacking unit make a lot of noise, so as to monitor the operating conditions of the depalletizing unit and the stacking unit;

[0142] Three sensors, namely, compressed gas pressure, compressed gas temperature and compressed gas humidity, are installed at the air inlet and the end of the line to monitor whether the startup gas pressure has been reached;

[0143] The motor energy consumption monitoring sensor is used to monitor the power consumption of the motor;

[0144] The tilt monitoring sensor is installed on the fixed equipment of the aluminum profile frame structure to monitor the tilt angle due to the deformation of the frame;

[0145] The displacement monitoring sensor is installed on the fixed seat of the laser engraving unit to monitor the displacement of the engraving machine caused by accidental contact by personnel;

[0146] The water immersion monitoring sensor is installed under the inline humidifier / air conditioner outlet to monitor water leakage when the humidifier / air conditioner is working;

[0147] The speed monitoring sensors are installed on the main transmission track of the roller line, and are installed in groups of two to test whether the speeds of the front and rear ends of the same transmission link are synchronized, so as to determine whether there is a chain or belt transmission failure;

[0148] The soundprint monitoring sensor monitors the main transmission line motor and determines the operating status of the main transmission line motor by comparing and calculating the collected motor audio features;

[0149] The temperature monitoring sensor in the calibration chamber uses a non-contact industrial infrared temperature sensor to conduct multi-point matrix and wide-angle real-time temperature monitoring of the heating equipment in the calibration chamber;

[0150] The ground wire detection sensor monitors the quality of the power supply ground resistance in real time through the non-contact ground resistance online monitoring device;

[0151] It should be noted that the flow monitoring sensor is used to determine whether the flow of the line is normal, the noise monitoring sensor is used to monitor the operating status of the unit, the compressed gas pressure / compressed gas temperature / compressed gas humidity sensor is used to monitor whether the startup gas pressure is reached, the inclination monitoring sensor is used to detect problems such as increased faults and increased equipment energy consumption caused by decreased motion accuracy due to frame deformation, and the displacement monitoring sensor will alarm when the displacement of the engraving machine is out of tolerance due to accidental contact by personnel, otherwise it will cause engraving position deviation. It is installed on the robot base to avoid the increase in the grasping failure rate caused by the robot position offset. The water immersion monitoring sensor is used to detect water leakage when the humidifier / air conditioner is working, and the alarm prevents water accumulation on the ground from causing danger. The speed monitoring sensor determines whether there is a chain or belt transmission failure. The voiceprint monitoring sensor determines the operating status of the main transmission line motor. The temperature monitoring sensor in the calibration warehouse avoids the deviation and danger of test results caused by excessive temperature of the detection equipment. The ground wire detection sensor monitors the quality of the power supply grounding resistance to ensure the normal grounding of the assembly line equipment.

[0152] In a specific embodiment, the operation and maintenance simulation platform in S5 and the operation and maintenance simulation real scene built by the digital twin platform include the following operation interface:

[0153] Scene roaming: The scene roaming function is mainly used to autonomously walk and browse in the digital twin virtual world scene from a first-person perspective. At this time, you can adjust the viewing distance by yourself, so as to achieve long-distance viewing and close-up inspection. When the viewing angle is adjusted to the actual channel position, the homomorphic mapping information and status of each special aircraft are automatically displayed in a floating window;

[0154] Business monitoring: The digital twin platform can conduct real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status, and verification status of the current line library. The main binding contents include the following four points:

[0155] 1) Device asset information binding

[0156] Contains equipment classification, basic equipment information, equipment ledger, equipment-related spare parts, etc.;

[0157] 2) Binding of equipment operation and production conditions

[0158] The equipment operating conditions and production progress are bound to the corresponding three-dimensional models, and the equipment operating parameters, production progress and test results can be intuitively viewed on the operation and maintenance platform.

[0159] 3) On-site real-time image binding

[0160] By binding the 3D simulation model with the inspection points of the inspection equipment, the 3D simulation model can be associated with the real-time on-site images. When the real-time image of the equipment needs to be viewed, the on-site inspection equipment can be called. The inspection equipment moves according to the coordinates of the associated points. After reaching the associated points, the inspection equipment automatically adjusts the height and angle of the pan / tilt to achieve partial zooming of the equipment image and transmit the high-definition image back to the platform.

[0161] 4) Sensor information binding

[0162] Connect sensor information (temperature, pressure, vibration, current, flow, inclination, etc.) with the corresponding sensor model. The device sensor information can be viewed through the operation and maintenance platform, which effectively enhances the visualization of the device's comprehensive perception capabilities.

[0163] Alarm center: In the operation and maintenance simulation scene, the health status of the equipment in the current scene is updated in real time for special equipment, special equipment or points. The fault information of the current equipment is displayed in the alarm center in real time by means of color change, information prompts, health value percentage, etc., which is convenient for monitoring personnel to view and handle in real time;

[0164] Panoramic display: By coupling various types of information from various terminal devices, using real-time video and simulation technology, the real-time monitoring of the verification production process can be realized, and the visualization of production indicators can be realized through statistics. The large screen (about 12 meters * 2.3 meters) of the measurement monitoring and dispatching center can fully display the overall picture of measurement production;

[0165] Production video monitoring

[0166] Based on real-scene cameras, all-round monitoring is carried out on key areas in the production process, and linkage is achieved with faults and anomalies in the production process;

[0167] Condition monitoring

[0168] Connect to the real-time industrial control of production facilities and display the real-time status of facilities and sensors on the monitoring interface;

[0169] Panoramic operation and maintenance simulation display

[0170] Dynamic simulation technology is used to simulate on-site facilities and bind the real-time industrial control of production facilities to achieve simulation of the operating status of production facilities;

[0171] Production environment monitoring

[0172] With the help of sensors such as temperature, humidity, noise, and energy consumption, the environmental status is collected in real time to realize the monitoring and display of the laboratory environment;

[0173] Real-time simulation of facilities

[0174] Click a facility or sensor on the operation and maintenance simulation model to pop up an information window showing detailed information about the corresponding facility or sensor.

[0175] Operation and maintenance simulation real-time control

[0176] Double-click the preset blue inspection point icon to control the inspection equipment to reach the corresponding inspection point in the operation and maintenance simulation page and the actual factory.

[0177] Production early warning visualization

[0178] Based on the analysis of the production process, early warning of various risks such as abnormal personnel behavior during the production process is carried out.

[0179] It should be noted that in order to improve the ability to control the metrology production situation, digital twins and operation and maintenance simulation modeling technology are used to build a virtual metrology production line and storage warehouse to achieve machine-picture synchronization between the virtual and real production lines; the production status is uploaded in real time and presented visually, and the production situation such as equipment operating conditions and metrology instrument calibration conclusions is clear at a glance.

[0180] Through 3D visualization technology, rapid modeling technology, sensor technology, integrated production line, camera, sensor and operation management, a 3D digital twin model is constructed. Users can switch viewing angles at will in the 3D production line scene built based on the real scene, and perform operations such as rotation, translation, zooming in and out, etc., and can intuitively see the operation of the equipment based on the real situation.

[0181] In a specific embodiment, the evaluation method of the health assessment platform in S6 is to perform health evaluation on a component of a device, then perform health evaluation on a dedicated device, and finally perform facility health evaluation on the line body; and calculate the facility health value through a fusion algorithm, and display the health information in real time on the corresponding facility of the operation and maintenance simulation model;

[0182] When the health value of a component, special machine, or facility is detected to be lower than the set threshold, the system automatically alarms and changes the color of the corresponding facility on the operation and maintenance simulation model to prompt the staff to perform maintenance according to the prompt;

[0183] Use the health value evaluation terminal to manage the health value of each production line facility and display the health value locally. Combined with the operation characteristics of metrology production facilities, on the basis of achieving full-process records of the entire life cycle of metrology assets, a scientific algorithm is formulated to consider the operation time, historical failures, maintenance records and related environmental factors of metrology production facilities, and to build a health status evaluation index library. At the same time, by using the hierarchical analysis method, the health status of the facility is scientifically evaluated and displayed in real time;

[0184] Evaluation index management

[0185] In order to effectively and comprehensively reflect the essential characteristics of the object, it is necessary to integrate multiple indicator information of the evaluation object. Evaluation indicator management can classify and manage different facility indicator information to achieve a relatively scientific calculation of the facility health value.

[0186] Component Health Assessment

[0187] Based on the evaluation indicators of the components, the component health value is calculated through a scientific algorithm and displayed in real time on the corresponding component of the operation and maintenance simulation model.

[0188] Special aircraft health assessment

[0189] According to the evaluation indicators of the special aircraft, the health value of the special aircraft is calculated through a scientific algorithm and displayed in real time on the corresponding special aircraft in the operation and maintenance simulation model;

[0190] Facility Health Assessment

[0191] According to the evaluation indicators of the facilities, the facility health value is calculated through a scientific algorithm and displayed in real time on the corresponding facilities in the operation and maintenance simulation model.

[0192] Health value warning

[0193] When it is detected that the health value of a component, special machine or facility is lower than the set threshold, the system will automatically alarm and change the color of the corresponding facility on the operation and maintenance simulation model to prompt the staff to perform maintenance according to the prompt.

[0194] In a specific embodiment, the fault information diagnosis in S6 accumulates the fault handling experience of staff and metrology experts, and forms a fault intelligent diagnosis expert database and a fault intelligent diagnosis module fault database through algorithms. On-site operation and maintenance personnel use the experience support of the expert database to quickly judge and handle on-site faults;

[0195] Troubleshooting steps:

[0196] Automatic fault collection: When a facility has an alarm fault, the intelligent inspection robot automatically arrives at the fault location, takes photos and videos of the faulty facility, and automatically classifies and saves them according to the fault type;

[0197] Fault classification: Unified management and configuration of faults by events, problems, and requirements, and realization of the management functions of event / problem / requirement lists, including addition, deletion, modification, fault determination, processing, resolution, feedback, one-key ignore, and one-key resolution operations;

[0198] Automatic generation of work orders: When an alarm fault occurs in a facility, a processing work order is automatically generated and tracked to the individual to form a closed-loop control. According to the permissions of different personnel, the work order is pushed to the relevant staff. If it is not processed within the time limit, it will be pushed to the administrator.

[0199] Automatic fault recovery: By analyzing the causes of on-site faults, control logic and related work experience, we can detect common faults in the production process, self-diagnose faults, handle faults on control equipment, and detect a series of fault self-recovery operations after troubleshooting, so as to achieve self-recovery of common faults in the production process;

[0200] Automatic generation of treatment opinions: After an alarm fault occurs in a facility, the fault database automatically compares and determines similar faults and treatment opinions. If there are similar faults, treatment opinions are prompted. If not, the fault is handled on site and entered into the knowledge base to achieve knowledge base upgrade;

[0201] Fault repair: Based on the fault handling suggestions and the experience support from the expert database, on-site operation and maintenance personnel can quickly handle on-site faults;

[0202] Fault database: Collect fault alarm phenomena, causes and solutions of various production facilities to form a fault database, refine fault handling experience, and support rapid handling of subsequent faults.

[0203] In a specific embodiment, the regional control in S7 includes the following contents:

[0204] Crossing the cordon: When the target crosses the set cordon, an alarm is generated, which can distinguish the direction of crossing the cordon, and can distinguish between one-way alarm and two-way alarm;

[0205] Entering the area, when the target enters from outside the set detection area, an alarm is generated;

[0206] Leaving the area: when the target leaves the set detection area, an alarm is generated;

[0207] Area intrusion: when the target stays in the set detection area for more than the set time, including static and moving, an alarm is generated;

[0208] Smart cameras are also installed at the entrances and exits of the laboratory to perform intelligent personnel management based on facial recognition.

[0209] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent inspection device, characterized in that: It includes an intelligent inspection equipment terminal, which is electrically connected to an Internet of Things module for communicating and transmitting data information. The Internet of Things module is respectively connected to the intelligent inspection robot, the warehouse inspection integrated equipment, the equipment monitoring sensor and the monitoring camera for transmitting the collected data information; The intelligent inspection equipment terminal includes an operation and maintenance simulation platform, a digital twin platform, a health assessment platform, a safety warning platform, a fault database and a display module. The operation and maintenance simulation platform is used to build a virtual metering production line and a storage warehouse to achieve machine-picture synchronization between virtual and real production lines. The digital twin platform is used to upload the production status in real time and visualize it. The equipment operation status and the production status of the calibration conclusion of the measuring instrument are visualized. The health assessment platform manages the health value of each production line facility and displays the health value. By using the hierarchical analysis method, the health status of the facility is scientifically evaluated and displayed in real time. The safety warning platform divides dangerous areas of different levels according to the distribution of on-site facilities, and classifies and manages the dangerous areas. When illegal personnel enter dangerous areas of different levels, the corresponding modules will make corresponding alarm reminders and push alarm information to the staff; the fault database will uniformly manage and configure faults according to events, problems, and requirements, and realize the management function of event / problem / requirement lists, including addition, deletion, modification, fault judgment, processing, resolution, feedback, one-key ignore and one-key resolution operations, and is used to compare and judge faults; the display module uses a panoramic large screen to display data information.

2. The intelligent inspection device according to claim 1, characterized in that: The intelligent inspection equipment terminal includes a data processing module, which is used to pre-process the transmitted data information, including decompression processing, cleaning processing, filtering processing, conversion processing and amplification processing of the data information.

3. A patrol inspection method, used for the intelligent patrol inspection device according to any one of claims 1-2, characterized in that: The following steps are included: S1. By arranging inspection points and inspection routes, according to periodic or temporary inspection tasks, drive the intelligent inspection robot to carry out on-site inspection of metering production, and drive the warehouse inspection and inventory-taking equipment to realize the inspection of the warehouse area and the inventory of goods in the warehouse area; S2, intelligent inspection robots and warehouse inspection equipment realize inspection monitoring through intelligent sensing equipment, and equipment monitoring sensors are used to detect the operation status of equipment in the production line; S3. Monitoring cameras conduct all-round monitoring of key areas in the production process and link them with faults and anomalies in the production process; S4. The intelligent inspection equipment terminal uses the Internet of Things module to pre-process and analyze the images and data information collected by the intelligent inspection robot, warehouse inspection equipment, equipment monitoring sensors and monitoring cameras; S5. Build a virtual metering production line and storage warehouse through the operation and maintenance simulation platform and the digital twin platform to achieve machine-drawing synchronization between the virtual and real production lines, conduct real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status, and calibration status of the current line warehouse, and display the data information on the display module; S6. The health assessment platform obtains the fault information of the metering production facilities in real time through image recognition, intelligent sensing, facility operation conditions and health status evaluation, and associates it with the fault database, analyzes the cause of the fault, provides work guidance, manages the health value of each production line facility, displays the health value locally, and displays the data information on the display module; S7. The security warning platform controls core areas through electronic fences, intrusion identification, and alarms. It identifies key behaviors and dangerous actions and issues local voice alarms to promptly remind operation and maintenance personnel to stay away from dangerous areas and enhance security control.

4. A patrol inspection method according to claim 3, characterized in that: The inspection points in S1 are set according to the physical layout of the on-site facilities, including the inspection point coordinates, inspection objects and inspection items; Inspection route: According to inspection needs, inspection points and inspection sequence are selected to generate inspection routes for automated inspection equipment; Manually formulate periodic and temporary inspection tasks as needed; Relying on the fault database and combining the facility operation status and facility health status, the inspection points and single-point inspection frequency of periodic inspection tasks are intelligently adjusted.

5. The inspection method according to claim 3, characterized in that: The intelligent sensing devices in S2 include high-definition cameras, infrared thermal imagers and environmental monitoring intelligent sensors, wherein the environmental monitoring intelligent sensors mainly include pm2.5 / pm10 sensors and temperature and humidity sensors; The infrared thermal imager is used to photograph and measure the working temperature of the current working unit surface; The high-definition camera is used to intelligently identify abnormal situations such as operational failures of on-site line facilities, illegal personnel, and personnel behavior violations; The temperature and humidity sensor is used to monitor the temperature and humidity of the environment where the current working unit of the inspection point is located; The pm2.5 / pm10 sensor measures the air quality along the walking path.

6. A patrol inspection method according to claim 3, characterized in that: The equipment monitoring sensors in S2 include the following types: The flow monitoring sensor is used to monitor the line connection points and the points where the box is easily stuck, and to determine whether the line flow is normal; The noise monitoring sensor is used to be installed in places where the depalletizing unit and the stacking unit make a lot of noise, so as to monitor the operating conditions of the depalletizing unit and the stacking unit; Three sensors, namely, compressed gas pressure, compressed gas temperature and compressed gas humidity, are installed at the air inlet and the end of the line to monitor whether the startup gas pressure has been reached; The motor energy consumption monitoring sensor is used to monitor the power consumption of the motor; The tilt monitoring sensor is installed on the fixed equipment of the aluminum profile frame structure to monitor the tilt angle due to the deformation of the frame; The displacement monitoring sensor is installed on the fixed seat of the laser engraving unit to monitor the displacement of the engraving machine caused by accidental contact by personnel; The water immersion monitoring sensor is installed under the inline humidifier / air conditioner outlet to monitor water leakage when the humidifier / air conditioner is working; The speed monitoring sensors are installed on the main transmission track of the roller line, and are installed in groups of two to test whether the speeds of the front and rear ends of the same transmission link are synchronized, so as to determine whether there is a chain or belt transmission failure; The soundprint monitoring sensor monitors the main transmission line motor and determines the operating status of the main transmission line motor by comparing and calculating the collected motor audio features; The temperature monitoring sensor in the calibration chamber uses a non-contact industrial infrared temperature sensor to conduct multi-point matrix and wide-angle real-time temperature monitoring of the heating equipment in the calibration chamber; The ground wire detection sensor monitors the quality of the power supply ground resistance in real time through the non-contact ground resistance online monitoring equipment.

7. The inspection method according to claim 3, characterized in that: The operation and maintenance simulation platform in S5 and the operation and maintenance simulation scene built by the digital twin platform include the following operation interfaces: Scene roaming: The viewing angle can be adjusted automatically to achieve long-distance viewing and close-up inspection. When the viewing angle is adjusted to the actual channel position, the same-state mapping information and status of each dedicated aircraft are automatically displayed in a floating window; Business monitoring: Real-time statistics and monitoring of the equipment status, inventory status, asset status, on-site status and calibration status of the current line warehouse; Alarm center: In the operation and maintenance simulation scene, for special equipment, special equipment or points, the health status of the equipment in the current scene is updated in real time; Panoramic display: By coupling various types of information from various terminal devices, using real-time video and simulation technology, real-time monitoring of the verification production process can be achieved, and visualization of production indicators can be achieved through statistics.

8. The inspection method according to claim 3, characterized in that: The evaluation method of the health assessment platform in S6 is to evaluate the health of a device component, then evaluate the health of the device, and finally evaluate the health of the line. The health value of the facility is calculated through a fusion algorithm, and the health information is displayed in real time on the corresponding facility of the operation and maintenance simulation model. When it is detected that the health value of a component, special machine or facility is lower than the set threshold, the system will automatically alarm and change the color of the corresponding facility on the operation and maintenance simulation model to prompt the staff to perform maintenance according to the prompt.

9. The inspection method according to claim 3, characterized in that: The fault information diagnosis in S6 accumulates the fault handling experience of staff and metrology experts, and forms a fault intelligent diagnosis expert database and a fault intelligent diagnosis module fault database through algorithms. On-site operation and maintenance personnel can quickly judge and handle on-site faults with the experience support of the expert database; Troubleshooting steps: Automatic fault collection: When a facility has an alarm fault, the intelligent inspection robot automatically arrives at the fault location, takes photos and videos of the faulty facility, and automatically classifies and saves them according to the fault type; Fault classification: Unified management and configuration of faults by events, problems, and requirements, and realization of the management functions of event / problem / requirement lists, including addition, deletion, modification, fault determination, processing, resolution, feedback, one-key ignore, and one-key resolution operations; Automatic generation of work orders: When an alarm fault occurs in a facility, a processing work order is automatically generated and tracked to the individual to form a closed-loop control. According to the permissions of different personnel, the work order is pushed to the relevant staff. If it is not processed within the time limit, it will be pushed to the administrator. Automatic fault recovery: By analyzing the causes of on-site faults, control logic and related work experience, we can detect common faults in the production process, self-diagnose faults, handle faults on control equipment, and detect a series of fault self-recovery operations after troubleshooting, so as to achieve self-recovery of common faults in the production process; Automatic generation of treatment opinions: After an alarm fault occurs in a facility, the fault database automatically compares and determines similar faults and treatment opinions. If there are similar faults, treatment opinions are prompted. If not, the fault is handled on site and entered into the knowledge base to achieve knowledge base upgrade; Fault repair: Based on the fault handling suggestions and the experience support from the expert database, on-site operation and maintenance personnel can quickly handle on-site faults; Fault database: Collect fault alarm phenomena, causes and solutions of various production facilities to form a fault database, refine fault handling experience, and support rapid handling of subsequent faults.

10. The inspection method according to claim 3, characterized in that: The regional control in S7 includes the following contents: Crossing the cordon: When the target crosses the set cordon, an alarm is generated, which can distinguish the direction of crossing the cordon, and can distinguish between one-way alarm and two-way alarm; Entering the area, when the target enters from outside the set detection area, an alarm is generated; Leaving the area: when the target leaves the set detection area, an alarm is generated; Area intrusion: when the target stays in the set detection area for more than the set time, including static and moving, an alarm is generated; Smart cameras are also installed at the entrances and exits of the laboratory to perform intelligent personnel management based on facial recognition.

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