Method for performing intelligent point inspection operation and maintenance on automatic system and intelligent instrument

Abstract

The invention relates to a method for carrying out intelligent point inspection operation and maintenance on an automatic system and an intelligent instrument, and the method comprises the steps: building a system, carrying out the periodic data collection of the state data of a PLC system and the intelligent instrument, carrying out the intelligent comparison of the collected data with a point inspection rule library, and actively pushing the data meeting an alarm standard to the operation and maintenance personnel of related equipment. And meanwhile, fault code description information and a fault removal method related to the alarm information are inquired from a fault code library and an operation and maintenance knowledge library and are pushed to operation and maintenance personnel together with the alarm information, so that the operation and maintenance personnel are helped to timely and accurately discover the abnormal state of the equipment and quickly remove the fault of the equipment. According to the invention, automatic acquisition, intelligent analysis, alarm, fault code and fault removal scheme active pushing of state data of the automation system and the intelligent instrument are realized, maintenance personnel are helped to timely discover and process exceptions, and the target of long-period all-weather fault-free online operation of the automation system and the intelligent instrument is finally realized.

Description

Technical Field

[0001] This patent application belongs to the field of equipment inspection, operation and maintenance and information technology in the metallurgical industry. More specifically, it involves a method for intelligent inspection and operation of automated PLC systems and intelligent instruments using information technology. Background Art

[0002] In the steel manufacturing industry, with the deepening of intelligent manufacturing construction, the combination of informatization and automation is becoming increasingly close. At present, most domestic steel companies have established production lines that include a large number of automated PLC systems and intelligent instruments. The networking, digitization and intelligence levels of the production lines are constantly improving. Enterprises cannot produce normally without the support of automated PLC systems and intelligent instruments. However, no matter how robust the system is and how rich its functions are, some abnormalities and failures are inevitable during operation. If they are not discovered and handled in time, they may cause production stoppages, equipment accidents, quality accidents and even personal injury accidents. How to accurately, timely and efficiently inspect and maintain automated PLC systems and intelligent instruments has become a problem that companies must solve.

[0003] Due to the complexity of automation systems and intelligent instruments, the knowledge and experience of equipment maintenance personnel vary. At the same time, steel enterprises generally produce 24 / 7, and the time and energy of operation and maintenance personnel are limited. It is impossible to arrange long-term, high-frequency inspection tasks, which creates a contradiction between the need for long-term, high-precision operation of equipment and the traditional manual low-frequency, long-term inspection and operation methods. Although the company has hired a large number of operation and maintenance technicians to perform inspection and maintenance work on automation systems and intelligent instrument equipment, production interruption accidents caused by problems with automation systems and intelligent instruments still occur frequently. The tighter the production rhythm and the more complex the production process of high-end steel, the greater the dependence on automation systems and intelligent instruments, and the more serious the production losses caused by failures in automation systems and intelligent instruments. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method for intelligent spot inspection and maintenance of automated PLC systems and intelligent instruments, which realizes the functions of automatic collection of automated PLC system and intelligent instrument status data, intelligent data analysis, active push of alarm information, fault codes, and troubleshooting solutions, etc., to help equipment maintenance personnel to promptly discover and handle equipment abnormalities, and ultimately achieve the goal of long-term, all-weather, trouble-free online operation of automated PLC systems and intelligent instruments.

[0005] In order to solve the above problems, the technical solution adopted by the present invention is: A method for intelligent inspection and maintenance of an automation system and an intelligent instrument, comprising the following steps: Step S1, building an intelligent inspection and operation and maintenance system, which includes a PLC system and intelligent instrument information library, a PLC system and intelligent instrument inspection rule library, an operation and maintenance personnel library, a fault code library, and an operation and maintenance knowledge library; In the intelligent inspection and maintenance system, based on the PLC system and intelligent instrument information library, PLC system and intelligent instrument inspection rule library, operation and maintenance personnel library, fault code library, and operation and maintenance knowledge library, the relationship between the PLC system, intelligent instrument, operation and maintenance personnel, inspection rules, fault codes, and operation and maintenance knowledge is sorted out, and this information is entered into the intelligent inspection and maintenance system; Step S2, the intelligent inspection and operation and maintenance system collects and stores the real-time status data of the equipment into the database through the industrial Ethernet network and the communication protocol supported by the PLC system and the intelligent instrument, according to the content of the PLC system and the intelligent instrument information library and the periodic requirements of the PLC system and the intelligent instrument inspection rule library; Step S3, the intelligent inspection and operation and maintenance system compares and analyzes the collected status data with the normal value range in the PLC system and the intelligent instrument inspection rule library to find out the status data that exceeds the normal range; Step S4, the intelligent inspection and operation and maintenance system searches the data in the fault code library and the operation and maintenance knowledge base for the status data that exceeds the normal range, finds the corresponding fault information and troubleshooting methods, and finds the corresponding equipment maintenance personnel in the operation and maintenance personnel database, and sends the abnormal data and the applied fault information and troubleshooting methods to the equipment operation and maintenance personnel through system push; Step S5: The equipment operation and maintenance personnel conduct on-site inspection and analysis of the equipment operation status according to the information pushed by the system, quickly eliminate abnormal conditions and system failures, and check and verify the correctness of the information pushed by the system; In step S6, the equipment maintenance personnel will report the inspection and processing situation to the operation and maintenance control center. If the pushed information is consistent with the actual situation, the alarm information will be directly closed. If it is inconsistent, the system administrator will be notified to correct the corresponding information database to ensure the accuracy and timeliness of the system push data.

[0006] Further, step S1 specifically includes the following steps: Step S101, allocating equipment and maintenance personnel to different maintenance work areas, and formulating corresponding inspection rules according to the operation characteristics of various equipment in different maintenance work areas. The inspection rules include inspection cycles, normal value ranges, etc.; Step S102: The PLC system and the intelligent instrument information library should record the equipment code, the operation and maintenance work area, the operation and maintenance personnel code, the IP address, the communication protocol, the data point name, the data type and other contents to ensure that the intelligent inspection and maintenance system can correctly collect the real-time status information of the equipment; Step S103, the fault code library should store the fault information corresponding to the value range of various status data under the device code according to the device code; Step S104: the operation and maintenance knowledge base should store the corresponding fault description information and troubleshooting methods according to the fault code.

[0007] Further, step S2 includes the following steps: Note: In each sub-step of step S2, it is assumed that the automation PLC system and intelligent instruments are connected to the industrial Ethernet network, and both support data collection through communication protocols such as OPC; Step S201, the intelligent inspection and operation and maintenance system collects the real-time status data of the equipment to the server through the industrial Ethernet network according to the cycle specified in the PLC system and the intelligent instrument inspection rule library, and then writes it into the database for query and analysis; Step S202: The data collection cycle in the PLC system and the intelligent instrument inspection rule base can be modified. However, in order to reduce the system burden, it is recommended to use the longest time allowed for timely detection of abnormal equipment status as the inspection cycle; Step S203: The data type of the collected data should be defined in the PLC system and the intelligent instrument inspection rule base. The data type can be integer, floating point, character or Boolean, etc., whichever data type the database allows to store. In step S204, data collection can be accomplished by mature industrial data collection software such as Kepware, or by writing a program yourself, or by combining the two (the present invention actually applies these two methods).

[0008] Further, step S3 includes the following steps: Step S301: In the intelligent inspection and maintenance system, the PLC system and the intelligent instrument inspection rule base should specify the appropriate inspection frequency according to the equipment operation characteristics. In order to reduce the system burden, the inspection frequency should be set to the longest actual cycle that can detect the abnormal state of the equipment in time; Step S302, the intelligent inspection and operation system compares the equipment status data collected during the inspection period with the equipment status threshold set in the PLC system and the intelligent instrument inspection rule base according to the inspection period specified by the PLC system and the intelligent instrument inspection rule base. The comparison method can be modified, and the comparison relationship can be: "greater than, less than, greater than or equal to, less than or equal to, equal to, included, not included" and other computer comparison methods. The comparison can be made directly, or the collected value can be brought into the specified operation public to compare the operation results again; the PLC system and the intelligent instrument inspection rule base provide inspection rules, and the inspection rules can give "normal" or a certain "fault code" for each comparison result; Step S303, the intelligent spot inspection and operation and maintenance system ignores the collected data with a comparison result of "normal", and saves the collection time, collected data, equipment code and fault code with a comparison result of "fault code" into the spot inspection abnormality data table of the database.

[0009] Further, step S4 includes the following steps: Step S401, the intelligent spot inspection operation and maintenance system pushes data in the spot inspection abnormality data table within the period one by one according to the data push cycle; Step S402: before pushing, first search the operation and maintenance person in charge of the device and related contact information in the operation and maintenance personnel database according to the device code, such as WeChat ID, mobile phone number, telecommunications email address, etc., which can be one or a combination of several; Step S403, searching the fault code library for fault description information corresponding to the abnormal record fault code; Step S404, searching the operation and maintenance knowledge base for the troubleshooting method description corresponding to the abnormal record fault code; Step S405: The collected abnormal values, fault information descriptions and troubleshooting methods are combined and edited into a character string, and sent to the equipment operation and maintenance personnel via WeChat, mobile phone text messages or emails.

[0010] Further, step S5 includes the following steps: Step S501: After receiving the abnormal inspection information pushed by the intelligent inspection and maintenance system, the equipment operation and maintenance personnel can go to the site to check the equipment status, or remotely check the operation status of the equipment through the network; Step S502: The equipment operation and maintenance personnel handle the equipment failure or abnormality according to the actual operation status of the equipment and refer to the fault description and troubleshooting method pushed by the intelligent inspection and operation and maintenance system to restore the normal operation of the equipment.

[0011] Further, step S6 includes the following steps: Step S601, after checking and handling the equipment abnormality, the operation and maintenance personnel report the handling status to the operation and maintenance control center, as well as whether there is any difference between the information pushed by the system and the actual operation status of the equipment, and the main content of the difference; Step S602: After receiving the report from the operation and maintenance personnel, the operation and maintenance control center closes the system alarm. If the information pushed by the system is different from the actual situation of the equipment, the difference is notified to the administrator of the intelligent inspection and operation and maintenance system, and the administrator updates the corresponding information database according to the difference to ensure that the intelligent inspection and operation and maintenance system eliminates the relevant difference in future information push; Step S603, the operation of the intelligent inspection and maintenance system is based on the consistency of equipment time to mark events such as data collection, intelligent analysis and information push. The time and date must be recalibrated after the equipment is restarted. A clock synchronization server can be set in the intelligent inspection and maintenance system, and each area equipment can be configured to regularly calibrate the time through the clock synchronization server.

[0012] Due to the adoption of the above technical solution, the beneficial effects achieved by the present invention are: The device has a simple structure, low manufacturing cost, and easy replacement of parts. It greatly improves the situation where the wheel is offset relative to the track, reduces the occurrence of track gnawing, increases the service life of the wheel and track, saves spare parts costs, reduces maintenance costs, ensures the smooth operation of the overhead crane, and has considerable benefits.

[0013] The present invention makes use of the enterprise's own industrial Ethernet network and self-developed intelligent inspection and operation and maintenance software system, and uses industrial Ethernet network technology, OPC and other data interface technologies, artificial intelligence technology, etc. to realize the automatic collection of status data of automated PLC systems and intelligent instruments, intelligent data analysis, active push of alarm information, fault codes, and troubleshooting solutions, etc., to help equipment maintenance personnel to promptly discover and handle equipment abnormalities. The system has a high overall intelligence level and responds quickly, ultimately achieving the goal of long-term, all-weather, trouble-free online operation of automated PLC systems and intelligent instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The figure is a flow chart of the intelligent inspection and operation and maintenance of the present invention. DETAILED DESCRIPTION

[0015] The present invention is further described in detail below with reference to the embodiments.

[0016] A method for intelligent inspection and maintenance of automation systems and intelligent instruments, such as Figure 1 , the steps are as follows: Step S1, build an intelligent inspection and operation and maintenance system, hereinafter referred to as the "system". The system includes a PLC system and intelligent instrument information library, a PLC system and intelligent instrument inspection rule library, an operation and maintenance personnel library, a fault code library, and an operation and maintenance knowledge library.

[0017] In the system, based on the PLC system and intelligent instrument information library, PLC system and intelligent instrument inspection rule library, operation and maintenance personnel library, fault code library, and operation and maintenance knowledge base, the relationship between the PLC system, intelligent instruments, operation and maintenance personnel, inspection rules, fault codes, and operation and maintenance knowledge is sorted out, and this information is entered into the intelligent inspection and operation and maintenance system.

[0018] Step S2: The system communicates with the PLC system and the communication protocol supported by the smart instrument through the industrial Ethernet network according to the contents of the PLC system and the smart instrument information library and the periodic requirements of the PLC system and the smart instrument inspection rule library, and collects and stores the real-time status data of the equipment in the database.

[0019] In step S3, the system compares and analyzes the collected data with the normal value range in the PLC system and the intelligent instrument inspection rule base to find out the status data that exceeds the normal range.

[0020] In step S4, the system searches the fault code library and the operation and maintenance knowledge base for the status data that exceeds the normal range, finds the corresponding fault information and troubleshooting methods, and finds the corresponding equipment maintenance personnel in the operation and maintenance personnel database, and sends the abnormal data and the applied fault information and troubleshooting methods to the equipment operation and maintenance personnel via WeChat, SMS, email, etc.

[0021] Step S5: The equipment operation and maintenance personnel conduct on-site inspection and analysis of the equipment operation status according to the information pushed by the system, quickly eliminate abnormal conditions and system failures, and check and verify the correctness of the information pushed by the system.

[0022] In step S6, the equipment maintenance personnel will report the inspection and processing situation to the operation and maintenance control center. If the pushed information is consistent with the actual situation, the alarm information will be directly closed. If it is inconsistent, the system administrator will be notified to correct the corresponding information database to ensure the accuracy and timeliness of the system push data.

[0023] The step S1 includes the following steps: Step S101, allocating equipment and maintenance personnel to different maintenance work areas based on the maintenance work area, and formulating corresponding inspection rules according to the operation characteristics of various equipment in different maintenance work areas, including inspection cycle, normal value range, etc.; Step S102: The PLC system and the smart meter information library should record the equipment code, the operation and maintenance work area, the operation and maintenance personnel code, the IP address, the communication protocol, the data point name, the data type and other systems to ensure that the system can correctly collect the real-time status information of the equipment; Step S103, the fault code library should store the fault information corresponding to the value range of various status data of the device according to the device code; Step S104: the operation and maintenance knowledge base should store the corresponding fault description information and troubleshooting methods according to the fault code.

[0024] The step S2 includes the following steps: Note: In each sub-step of step S2, it is assumed that the automation PLC system and intelligent instruments are connected to the industrial Ethernet network, and both support data collection through communication protocols such as OPC; Step S201, the system collects the real-time status data of the equipment to the server through the industrial Ethernet network according to the cycle specified in the PLC system and the intelligent instrument inspection rule base, and writes it into the database for query and analysis; Step S202: The data collection in the PLC system and the intelligent instrument inspection rule base can be modified in the middle period, but in order to reduce the system burden, it is recommended to use the longest time allowed to timely discover the abnormal state of the equipment as the inspection cycle; Step S203: The data type of the collected data should be defined in the PLC system and the intelligent instrument inspection rule base, which can be integer, floating point, character, Boolean, and other data types that the database allows to save; In step S204, data collection can be accomplished by mature industrial data collection software such as Kepware, or by writing a program yourself, or by combining the two (the present invention actually applies these two methods).

[0025] The step S3 includes the following steps: Step S301: The PLC system and intelligent instrument inspection rule base in the system should specify an appropriate inspection frequency according to the equipment operation characteristics. In order to reduce the system burden, the inspection frequency should be set to the longest actual cycle that can detect abnormal equipment status in time; Step S302, the system compares the equipment status data collected within the period with the equipment status threshold set in the PLC system and the intelligent instrument inspection rule base according to the inspection period specified by the PLC system and the intelligent instrument inspection rule base. The comparison method can be modified, and the relationship in the table can be: "greater than, less than, greater than or equal to, less than or equal to, equal to, include, not include" and other computer comparison methods. The comparison can be made directly, or the collected value can be brought into the specified operation public to compare the operation results. The inspection rule can give "normal" or a certain "fault code" for each comparison result; In step S303, the system ignores the collected data with a comparison result of "normal", and saves the collection time, collected data, equipment code and fault code with a comparison result of "fault code" into the inspection abnormal data table of the database.

[0026] The step S4 includes the following steps: Step S401, the system pushes data in the inspection abnormality data table one by one within the period according to the data push cycle; Step S402: before pushing, the operation and maintenance person in charge of the device and related contact information are searched in the operation and maintenance personnel database according to the device code, such as WeChat ID, mobile phone number, telecommunications email address, etc., which can be one or a combination of several; Step S403, searching the fault code library for fault description information corresponding to the abnormal record fault code; Step S404, searching the operation and maintenance knowledge base for the troubleshooting method description corresponding to the abnormal record fault code; Step S405: The collected abnormal values, fault information descriptions and troubleshooting methods are combined and edited into a character string, and sent to the equipment operation and maintenance personnel via WeChat, mobile phone text messages or emails; The step S5 includes the following steps: In step S501, after receiving the abnormal inspection information pushed by the system, the operation and maintenance personnel can go to the site to check the equipment status in person, or remotely check the operation status of the equipment through the network.

[0027] Step S502: The operation and maintenance personnel handle the equipment failure or abnormality according to the actual operation of the equipment and refer to the fault description and troubleshooting method pushed by the system to restore the normal operation of the equipment.

[0028] The step S6 includes the following steps: Step S601, the operation and maintenance personnel check and handle the equipment anomaly and report the handling status to the operation and maintenance control center, as well as whether there is any difference between the system push information and the actual operation status of the equipment, and the main content of the difference.

[0029] Step S602: After receiving the report from the operation and maintenance personnel, the operation and maintenance control center closes the system alarm. If the information pushed by the system is different from the actual situation of the equipment, the difference will be notified to the smart inspection and operation and maintenance system administrator, who will update the corresponding information database based on the difference to ensure that the system eliminates the relevant differences in future information pushes.

[0030] Step S603, the operation of the system is based on the consistency of device time to mark events such as data collection, intelligent analysis and information push. The time and date must be recalibrated after the device is restarted. A clock synchronization server can be set in the system, and each regional device can be configured to regularly calibrate the time through the clock synchronization server.

[0031] From the above description, it can be seen that the present invention effectively realizes the automatic collection and intelligent analysis of the status data of the automation system and intelligent instruments, and the active push of alarm information, fault codes, and troubleshooting solutions, helping equipment maintenance personnel to promptly discover and handle abnormalities, and ultimately achieving the goal of long-term, all-weather, trouble-free online operation of the automation system and intelligent instruments, and has extremely high promotion and application value.

Claims

1. A method for intelligent inspection and maintenance of automation systems and intelligent instruments, characterized in that: The following steps are involved: Step S1, building an intelligent inspection and operation and maintenance system, which includes a PLC system and intelligent instrument information library, a PLC system and intelligent instrument inspection rule library, an operation and maintenance personnel library, a fault code library, and an operation and maintenance knowledge library; In the intelligent inspection and maintenance system, based on the PLC system and intelligent instrument information library, PLC system and intelligent instrument inspection rule library, operation and maintenance personnel library, fault code library, and operation and maintenance knowledge library, the relationship between the PLC system, intelligent instrument, operation and maintenance personnel, inspection rules, fault codes, and operation and maintenance knowledge is sorted out, and this information is entered into the intelligent inspection and maintenance system; Step S2, the intelligent inspection and operation and maintenance system collects and stores the real-time status data of the equipment into the database through the industrial Ethernet network and the communication protocol supported by the PLC system and the intelligent instrument, according to the content of the PLC system and the intelligent instrument information library and the periodic requirements of the PLC system and the intelligent instrument inspection rule library; Step S3, the intelligent inspection and operation and maintenance system compares and analyzes the collected status data with the normal value range in the PLC system and the intelligent instrument inspection rule library to find out the status data that exceeds the normal range; Step S4, the intelligent inspection and operation and maintenance system searches the fault code library and the operation and maintenance knowledge base for the status data that exceeds the normal range, finds the corresponding fault information and troubleshooting methods, and finds the corresponding equipment maintenance personnel in the operation and maintenance personnel database, and sends the abnormal data and the applied fault information and troubleshooting methods to the equipment operation and maintenance personnel through system push; Step S5: The equipment operation and maintenance personnel conduct on-site inspection and analysis of the equipment operation status according to the information pushed by the system, quickly eliminate abnormal conditions and system failures, and check and verify the correctness of the information pushed by the system; In step S6, the equipment maintenance personnel will report the inspection and processing situation to the operation and maintenance control center. If the pushed information is consistent with the actual situation, the alarm information will be directly closed. If it is inconsistent, the system administrator will be notified to correct the corresponding information database to ensure the accuracy and timeliness of the system push data.

2. A method for intelligent spot inspection and maintenance of automation systems and intelligent instruments according to claim 1, characterized in that: In step S1, the following steps are specifically included: Step S101, allocating equipment and maintenance personnel to different maintenance work areas based on the maintenance work area, and formulating corresponding inspection rules according to the equipment operation characteristics of different maintenance work areas, the inspection rules including the inspection cycle and the range of normal values; Step S102: The PLC system and the intelligent instrument information library record the equipment code, the operation and maintenance work area, the operation and maintenance personnel code, the IP address, the communication protocol, the data point name, and the data type to ensure that the intelligent inspection and maintenance system can correctly collect the real-time status information of the equipment; Step S103, the fault code library stores the fault information corresponding to the value range of various status data under the device code according to the device code; Step S104: the operation and maintenance knowledge base should store the corresponding fault description information and troubleshooting methods according to the fault code.

3. A method for intelligent inspection and maintenance of automation systems and intelligent instruments according to claim 2, characterized in that: Step S2 includes the following steps: Step S201, the intelligent inspection and operation and maintenance system collects the real-time status data of the equipment to the server through the industrial Ethernet network according to the cycle specified in the PLC system and the intelligent instrument inspection rule library, and then writes it into the database for query and analysis; Step S202, the data collection cycle in the PLC system and the intelligent instrument inspection rule base can be modified, and the longest time allowed to timely discover the abnormal state of the equipment is used as the inspection cycle; Step S203, the data type of the collected data is defined in the PLC system and the intelligent instrument inspection rule base, and the data type is integer, floating point, character or Boolean; Step S204, data collection can be accomplished by mature industrial data collection software such as , or by writing a program yourself, or by combining the two.

4. A method for intelligent inspection and maintenance of automation systems and intelligent instruments according to claim 2, characterized in that: Step S3 includes the following steps: Step S301: In the intelligent inspection and maintenance system, the PLC system and the intelligent instrument inspection rule base specify appropriate inspection frequencies according to the equipment operation characteristics. In order to reduce the system burden, the inspection frequency should be set to the longest actual cycle that can detect abnormal equipment status in time; Step S302: the intelligent inspection and operation system compares the equipment status data collected during the inspection period with the equipment status threshold value set in the PLC system and the intelligent instrument inspection rule base according to the inspection period specified by the PLC system and the intelligent instrument inspection rule base. The comparison relationship can be: "greater than, less than, greater than or equal to, less than or equal to, equal to, included, not included". The comparison can be made directly, or the collected value can be brought into the specified operation statement to compare the operation results again; the PLC system and the intelligent instrument inspection rule base provide inspection rules, and the inspection rules can give "normal" or a certain "fault code" for each comparison result; Step S303, the intelligent spot inspection and maintenance system ignores the collected data with a comparison result of "normal", and saves the collection time, collected data, equipment code and fault code with a comparison result of "fault code" into the spot inspection abnormality data table of the database.

5. A method for intelligent spot inspection and maintenance of automation systems and intelligent instruments according to claim 4, characterized in that: Step S4 includes the following steps: Step S401, the intelligent spot inspection operation and maintenance system pushes data in the spot inspection abnormality data table within the period one by one according to the data push cycle; Step S402: before pushing, first search the operation and maintenance person in charge of the device and related contact information in the operation and maintenance personnel database according to the device code, including but not limited to one or more of WeChat ID, mobile phone number, and telecommunications mailbox; Step S403, searching the fault code library for fault description information corresponding to the abnormal record fault code; Step S404, searching the operation and maintenance knowledge base for the troubleshooting method description corresponding to the abnormal record fault code; Step S405: The collected abnormal values, fault information descriptions and troubleshooting methods are combined and edited into a character string, and sent to the equipment operation and maintenance personnel via WeChat, mobile phone text messages or emails.

6. A method for intelligent inspection and maintenance of automation systems and intelligent instruments according to any one of claims 1 to 5, characterized in that: Step S5 includes the following steps: Step S501: After receiving the abnormal inspection information pushed by the intelligent inspection and maintenance system, the equipment operation and maintenance personnel can go to the site to check the equipment status, or remotely check the operation status of the equipment through the network; Step S502: The equipment operation and maintenance personnel handle the equipment failure or abnormality according to the actual operation status of the equipment and refer to the fault description and troubleshooting method pushed by the intelligent inspection and operation and maintenance system to restore the normal operation of the equipment.

7. A method for intelligent spot inspection and maintenance of automation systems and intelligent instruments according to claim 6, characterized in that: Step S6 includes the following steps: Step S601: After checking and handling the equipment abnormality, the operation and maintenance personnel report the handling status to the operation and maintenance control center, as well as whether there is any difference between the information pushed by the system and the actual operation status of the equipment, and the content of the difference; Step S602: After receiving the report from the operation and maintenance personnel, the operation and maintenance control center closes the system alarm. If the information pushed by the system is different from the actual situation of the equipment, the difference is notified to the administrator of the intelligent inspection and operation and maintenance system, and the administrator updates the corresponding information database according to the difference to ensure that the intelligent inspection and operation and maintenance system eliminates the relevant difference in future information push; Step S603: After the device is restarted, the time and date must be recalibrated. A clock synchronization server is set in the intelligent inspection and operation system. The devices in each area can be configured to calibrate the time regularly through the clock synchronization server.

Images