Edge computing system monitoring method and system for discrete industry

Abstract

The invention discloses a discrete industry-oriented edge computing system monitoring method. The method comprises the steps of S1, collecting index information and network information; the index information and the network information are used for accurately identifying and defining whether the service is caused by a service communication problem when the service of the edge computing system is unavailable, and pushing abnormal information corresponding to the unavailable condition of the service to operation and maintenance personnel in time; and S2, performing corresponding monitoring on the edge computing system based on the obtained index information and network information. The invention further discloses a corresponding system, electronic equipment and a computer readable storage medium, the monitoring accuracy and the real-time performance are improved, the problem boundary positioning of the system is well solved, the problem is accurately and efficiently solved, the effective utilization rate of production equipment of a factory is improved, the stability and the reliability of an edge computer system are also ensured, and the production cost is reduced. Therefore, the satisfaction degree of customers is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent manufacturing and edge computing technology, and in particular to an edge computing system monitoring method and system for discrete industries. Background Art

[0002] In the smart production and smart manufacturing industries, edge computing has become an important part of the implementation of digital factories. Due to the complexity of the production environment and the diversity of equipment types, how to stably and efficiently process and analyze equipment data is crucial to improving factory production control and efficiency.

[0003] The edge computing box is a key link in realizing enterprise digitalization. It acts as a bridge, connecting the upper and lower levels, connecting the devices below and the IOT platform above. Therefore, its stability and robustness are of great significance to ensuring the operation of the enterprise's digital system. At present, the monitoring of edge computing boxes is generally technically the monitoring of whether the self-service is available and the message notification within the system; the other is manual monitoring and discovery by system users, which leads to delayed discovery, and difficulty in troubleshooting when anomalies occur, which is time-consuming and labor-intensive, and in serious cases will affect the production operation of the enterprise.

[0004] The patent invention with the authorization publication number CN117913867A discloses a network energy storage control method based on edge computing monitoring, which belongs to the field of energy storage control; the patent collects environmental and energy data through sensors, establishes models for data feature observation, training, prediction, etc. to achieve its monitoring. It is very different from the monitoring methods and implementation scenarios of the industrial discrete industry.

[0005] In summary, the current monitoring of edge computing systems has the following technical defects:

[0006] 1. The monitoring accuracy is not high and the system positioning and identification problems are not accurate;

[0007] 2. Poor real-time performance and other issues, unable to identify and respond to system problems in a timely manner;

[0008] 3. The edge computing service cannot recover by itself;

[0009] 4. Problem discovery is delayed, and there is a lack of corresponding technical means for operation and maintenance notification, scheduling, and coordination. Summary of the invention

[0010] In order to solve the problems existing in the prior art, the present invention develops a monitoring method and system for edge computing systems for discrete industries, aiming to improve the monitoring accuracy and real-time performance, and well solve the positioning of the system problem boundary, accurately and efficiently solve the problem, not only improve the effective utilization rate of the factory's production equipment, but also ensure the stability and reliability of the edge computer system, thereby improving customer satisfaction. On the one hand, by collecting data, analyzing data, and then using automated operation and maintenance technology, services can be processed and restored in a timely manner; on the other hand, through real-time enterprise push messages, when abnormalities requiring manual intervention are present, they can also be identified and intervened in a timely manner, minimizing the impact on production and greatly improving the support capacity and robustness of the system. The present invention mainly solves the technical problems of the monitoring service boundary of discrete industrial equipment, edge computing boxes and networks, low accuracy and poor real-time performance, etc. Its accuracy is mainly reflected in the monitoring of network status, whether the equipment is turned on, whether the equipment is disconnected, edge computing box service status, and box operation health (CPU, memory, disk I / O). By refining targets and monitoring indicators, the positioning and identification accuracy of edge computing systems can be improved, and autonomous recovery, operation and maintenance notification scheduling, and coordinated processing optimization of edge computing services can be achieved, thereby ensuring the stability and effectiveness of edge computing systems.

[0011] On one hand, the present invention provides an edge computing system monitoring method for discrete industries, comprising:

[0012] S1, collecting indicator information and network information; the indicator information and the network information are used to accurately identify whether the service communication problem is caused when the service of the edge computing system is unavailable, and immediately push the abnormal information corresponding to the unavailability of the service to the operation and maintenance personnel;

[0013] S2: Perform corresponding monitoring on the edge computing system based on the obtained indicator information and network information.

[0014] Preferably, the indicator information includes ports, number of connections and status of the service network between discrete industrial equipment and the edge computing system; the network information includes network information of the edge computing system and monitoring service.

[0015] Preferably, S2 includes:

[0016] S21, classifying the indicator information and network information into network information, edge computing system information, and device information;

[0017] S22, based on the network information and the preset network parameter indicators, determining whether it is necessary to issue an early warning or abnormal information to the network operation and maintenance personnel, when the collected indicator parameters exceed the preset setting value, an early warning notification event is issued, and when the collected network status is abnormal information, it is confirmed that a network abnormality has occurred, triggering a network abnormality event;

[0018] S23, obtaining heartbeat detection information, and determining based on the heartbeat detection information; if the edge service exception occurs, judging whether the edge service exception occurs based on the edge computing system information, the heartbeat detection information and the parameter indicators of the preset edge system; if the edge computing service exception occurs, triggering edge service exception event information, and sending the edge service exception event information to the workshop person in charge through the message task service; if the edge service exception does not occur, ending the corresponding monitoring;

[0019] S24, determining whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, sending a message of the equipment abnormality to the workshop manager through the message task service for tracking and processing.

[0020] Preferably, the S23 further includes:

[0021] Judging whether it is necessary to issue an early warning to the system operation and maintenance personnel based on the edge computing system information, heartbeat detection information and pre-set edge system parameter indicators also includes: if an edge computing service abnormality occurs, the guardian scheduling service is triggered, and it sends instructions to the corresponding edge computing system based on the abnormal information to restore the edge service; including: after sending the edge service abnormal event information to the workshop manager through the message task service, based on the receipt of the edge service abnormal event information, the edge service recovery instruction is issued through the guardian scheduling service; and it is determined whether the edge service is successfully restored. If the edge service is successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

[0022] A second aspect of the present invention is to provide an edge computing system monitoring system for discrete industries, which is used to implement the method of the first aspect, including:

[0023] An information collection module (101) is used to collect indicator information and network information; the indicator information and the network information are used to accurately identify whether the service communication problem is caused when the service of the edge computing system is unavailable, and to instantly push the abnormal information corresponding to the unavailability of the service to the operation and maintenance personnel;

[0024] The system monitoring module (102) is used to perform corresponding monitoring on the edge computing system based on the obtained indicator information and network information; including: the system monitoring module (102) monitors whether the service is available by detecting the heartbeat of each edge system side; monitors whether the network is normal, monitors the network port and the number of connections; monitors the device information data connected to each edge computing system to determine whether the device is operating normally; the system monitoring module (102) collects network-related data through the simple network management protocol SNMP, determines the network status by collecting the real-time indicator data of the network, and issues a message event notification if it is abnormal; collects data of edge computing boxes and devices through the message queue telemetry transmission protocol MQTT and the hypertext transfer protocol HTTP, and determines whether the edge computing boxes and devices are abnormal through the indicator data, and issues a message event notification if it is abnormal.

[0025] Preferably, the system monitoring module (102) comprises:

[0026] An information classification submodule (1021), used to classify the indicator information and network information into network information, edge computing system information and device information;

[0027] A network anomaly monitoring submodule (1022), configured to determine whether a network anomaly occurs based on the network information; if a network anomaly occurs, a network anomaly event is triggered; if no network anomaly occurs, the corresponding monitoring is terminated;

[0028] The edge service abnormality monitoring submodule (1023) is used to obtain heartbeat detection information based on the edge computing system information, and determine whether an edge service abnormality occurs based on the heartbeat detection information; if the edge service abnormality occurs, trigger edge service abnormality event information, and send the edge service abnormality event information to the workshop person in charge through the message task service; if the edge service abnormality does not occur, end the corresponding monitoring;

[0029] The equipment abnormality monitoring submodule (1024) is used to determine whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, a message of the equipment abnormality is sent to the workshop manager through a message task service.

[0030] Preferably, the edge service abnormality monitoring submodule (1023) further includes:

[0031] Message task service unit (10231) and guard scheduling service unit (10232);

[0032] Wherein: the message task service unit (10231) is used to provide message task services, and is used to send edge computing service unavailable event messages to operation and maintenance personnel; send network abnormality messages to operation and maintenance personnel; send equipment operation abnormality messages to workshop managers;

[0033] The guard scheduling service unit (10232) is used to provide guard scheduling services;

[0034] After the edge service abnormal event information is sent to the workshop manager through the message task service, based on the received edge service abnormal event information, an edge service recovery instruction is issued through the guardian scheduling service; and it is determined whether the edge service has been successfully restored. If the edge service has been successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

[0035] Preferably, the system further comprises: a basic module, the basic module being used to set the index parameters and index values ​​of the network, set the index parameters and index values ​​of the monitoring equipment, and set the index parameters and index values ​​of the edge computing box;

[0036] The indicator parameters and indicator values ​​of the network include one or more indicator parameters and indicator values ​​in status, latency, utilization rate and connection; the indicator parameters and indicator values ​​of the monitoring device include one or more indicator parameters and indicator values ​​in power-on status and connection status; the indicator parameters and indicator values ​​of the edge computing box include one or more indicator parameters and indicator values ​​in service status, CPU, memory and disk I / O.

[0037] A third aspect of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores a plurality of instructions, and the processor is configured to read the instructions and execute the method described in the first aspect.

[0038] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be read by a processor and execute the method described in the first aspect.

[0039] The method, system and electronic device provided by the present invention have the following beneficial effects:

[0040] The main technical means for the present invention to solve the defects in the prior art include:

[0041] (1) The location and identification of system problems is not accurate. The present invention achieves the accuracy of locating problems by dividing the monitoring target subjects and the monitoring indicators of each subject;

[0042] (2) The edge computing box service is unavailable due to an abnormality and cannot achieve self-recovery of the service. The present invention achieves service recovery by issuing monitoring instructions;

[0043] (3) Problem discovery is delayed, and there is a lack of operation and maintenance notification scheduling and coordination. The present invention instantly pushes abnormal messages to operation and maintenance personnel through enterprise WeChat / DingTalk.

[0044] The beneficial effects achieved include:

[0045] (1) Accurate anomaly location: Through intelligent analysis, the anomaly type can be accurately identified and the operation and maintenance team can be notified immediately to quickly locate and resolve the problem, greatly improving the efficiency of troubleshooting.

[0046] (2) Instant anomaly detection and tracking: Edge computing monitoring ensures that service anomalies can be discovered as soon as possible. Through real-time message push, operation and maintenance personnel can follow up in a timely manner, effectively shortening the response time of the problem.

[0047] (3) Service self-recovery capability: Edge computing services with self-repair mechanisms can automatically recover when encountering faults, significantly reducing manual intervention and lowering operation and maintenance costs.

[0048] (4) System stability and efficient operation: Through continuous monitoring and optimization, edge computing not only improves the overall stability of the system, but also ensures an efficient production process, providing users with a smoother and more satisfying user experience, thereby enhancing customer satisfaction and system competitiveness.

[0049] Through the above common technical advantages, edge computing monitoring has become an indispensable part of modern IT infrastructure, playing a key role in improving service quality, reducing operating costs and enhancing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a flow chart of the edge computing system monitoring method for discrete industries described in the present invention.

[0051] Figure 2 This is a schematic diagram of the process principle of the edge computing system monitoring method for discrete industries described in the present invention.

[0052] Figure 3 This is a functional schematic diagram of the edge computing system monitoring system for discrete industries described in the present invention.

[0053] Figure 4 This is a schematic diagram of the monitoring system architecture of the edge computing system for discrete industries described in the present invention.

[0054] Figure 5This is a schematic diagram of the system monitoring module architecture of the edge computing system monitoring system for discrete industries described in the present invention.

[0055] Figure 6 This is a schematic diagram of the edge service anomaly monitoring submodule architecture of the edge computing system monitoring system for discrete industries described in the present invention.

[0056] Figure 7 This is a schematic diagram of the principle of applying the edge computing system monitoring system for discrete industries described in the present invention in actual production.

[0057] Figure 8 The figure is a schematic diagram of the structure of the electronic device described in the present invention. DETAILED DESCRIPTION

[0058] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0059] Embodiment 1

[0060] like Figure 1-2 As shown, this embodiment provides an edge computing system monitoring method for discrete industries, including:

[0061] S1, collecting indicator information and network information; the indicator information and the network information are used to accurately identify whether the service communication problem is caused when the service of the edge computing system is unavailable, and immediately push the abnormal information corresponding to the unavailability of the service to the operation and maintenance personnel;

[0062] As a preferred implementation, the indicator information includes indicator information such as ports, number of connections and status of the service network of the discrete industrial equipment and the edge computing system.

[0063] As a preferred implementation, the network information includes network information of the edge computing system and the monitoring service.

[0064] S2, monitoring the edge computing system accordingly based on the obtained indicator information and network information;

[0065] As a preferred embodiment, the S2 includes:

[0066] S21, classifying the indicator information and network information into network information, edge computing system information (edge ​​computing box information in this embodiment), and device information;

[0067] S22, based on the network information and the preset network parameter indicators, determining whether it is necessary to issue an early warning or abnormal information to the network operation and maintenance personnel, when the collected indicator parameters exceed the preset setting value, an early warning notification event is issued, and when the collected network status is abnormal information, it is confirmed that a network abnormality has occurred, triggering a network abnormality event;

[0068] S23, obtaining heartbeat detection information, and determining based on the heartbeat detection information; if the edge service exception occurs, judging whether the edge service exception occurs based on the edge computing system information, the heartbeat detection information and the parameter indicators of the preset edge system; if the edge computing service exception occurs, triggering edge service exception event information, and sending the edge service exception event information to the workshop person in charge through the message task service; if the edge service exception does not occur, ending the corresponding monitoring;

[0069] S24, determining whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, sending a message of the equipment abnormality to the workshop manager through the message task service for tracking and processing.

[0070] As a preferred implementation, S23 also includes: judging whether it is necessary to issue an early warning to the system operation and maintenance personnel based on the edge computing system information, heartbeat detection information and pre-set edge system parameter indicators, and also includes: if an edge computing service abnormality occurs, triggering the guardian scheduling service, which sends instructions to the corresponding edge computing system based on the abnormal information to restore the edge service; including: after sending the edge service abnormal event information to the workshop manager through the message task service, based on the receipt of the edge service abnormal event information, issuing an edge service recovery instruction through the guardian scheduling service; and judging whether the edge service has been successfully restored. If the edge service has been successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

[0071] Embodiment 2

[0072] like Figure 3-4 As shown, this embodiment provides an edge computing system monitoring system for discrete industries, including:

[0073] The information collection module 101 is used to collect indicator information and network information; the indicator information and the network information are used to accurately identify whether the service communication problem is caused when the service of the edge computing system is unavailable, and the abnormal information corresponding to the unavailability of the service is immediately pushed to the operation and maintenance personnel; the monitoring service collects three types of data: network data, device data, and edge computing box data, among which the main indicator parameters of the network are status, bandwidth, connection, delay and other data; the device indicator parameters are power-on status and connection activity status; the indicator parameters of the edge computing box are service status (status, throughput, delay, etc.) and box resource status (CPU, memory, disk I / O).

[0074] The system monitoring module 102 is used to perform corresponding monitoring on the edge computing system based on the obtained indicator information and network information. In this embodiment, the system monitoring module monitors whether the service is available by detecting the heartbeat of each edge system side; monitors whether the network is normal, monitors indicators such as network ports and number of connections; monitors the device information data connected to each edge computing system to determine whether the device is operating normally. The system monitoring module 102) collects network-related data through the simple network management protocol SNMP, determines the network status by collecting real-time indicator data of the network, and issues message event notifications if abnormal; collects data of edge computing boxes and devices through the message queue telemetry transmission protocol MQTT and the hypertext transfer protocol HTTP, and uses indicator data to determine whether the edge computing boxes and devices are abnormal, and issues message event notifications if abnormal.

[0075] like Figure 5 As shown, as a preferred implementation, the system monitoring module 102 includes:

[0076] An information classification submodule 1021 is used to classify the indicator information and network information into network information, edge computing system information and device information;

[0077] The network anomaly monitoring submodule 1022 is used to determine whether it is necessary to issue an early warning or abnormal information to the network operation and maintenance personnel based on the network information and the preset network parameter indicators. When the collected indicator parameters exceed the preset setting value, an early warning notification event is issued. When the collected network status is abnormal information, it is confirmed that a network anomaly has occurred, triggering a network abnormality event;

[0078] The edge service abnormality monitoring submodule 1023 is used to obtain heartbeat detection information and determine based on the heartbeat detection information; if the edge service abnormality occurs, determine whether the edge service abnormality occurs based on the edge computing system information, the heartbeat detection information and the parameter indicators of the preset edge system; if the edge computing service abnormality occurs, trigger the edge service abnormality event information, and send the edge service abnormality event information to the workshop person in charge through the message task service; if the edge service abnormality does not occur, end the corresponding monitoring;

[0079] The equipment abnormality monitoring submodule 1024 is used to determine whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, the message of the equipment abnormality is sent to the workshop manager through the message task service for tracking and processing.

[0080] like Figure 6 As shown, as a preferred implementation, the edge service abnormality monitoring submodule 1023 also includes:

[0081] Message task service unit 10231 and guard scheduling service unit 10232;

[0082] Among them: the message task service unit 10231 is used to provide message task services, which are used to send edge computing service unavailable event messages to operation and maintenance personnel (for example, through enterprise WeChat or DingTalk. Of course, those skilled in the art can also use other technical means, all within the scope of protection of the present invention); send network abnormality messages to operation and maintenance personnel; send equipment operation abnormality messages to workshop managers;

[0083] The guard scheduling service unit 10232 is used to provide guard scheduling services, visually displaying the operation status of each edge computing system; when the edge computing system service stops operating, it can automatically issue instructions to automatically restore the edge computing system service; if a maximum of three unsuccessful attempts are made, an event message notification will be issued;

[0084] After the edge service abnormal event information is sent to the workshop manager through the message task service, based on the received edge service abnormal event information, an edge service recovery instruction is issued through the guardian scheduling service; and it is determined whether the edge service has been successfully restored. If the edge service has been successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

[0085] As a preferred embodiment, the system further includes: a basic module, the basic module is used to set the index parameters and index values ​​of the network, set the index parameters and index values ​​of the monitoring equipment, and set the index parameters and index values ​​of the edge computing box;

[0086] The indicator parameters and indicator values ​​of the network include one or more indicator parameters and indicator values ​​in status, latency, utilization rate and connection; the indicator parameters and indicator values ​​of the monitoring device include one or more indicator parameters and indicator values ​​in power-on status and connection status; the indicator parameters and indicator values ​​of the edge computing box include one or more indicator parameters and indicator values ​​in service status, CPU, memory and disk I / O.

[0087] Therefore, the basic principles of the methods and systems of the above two embodiments and the specific technical solutions for solving the technical problems include:

[0088] 1. For the problem of inaccurate positioning and identification of system problems, the accuracy of positioning problems can be achieved by dividing the monitoring target subjects and the monitoring indicators of each subject. By dividing the network, equipment, and edge computing box into three subjects, they can monitor and identify abnormal situations respectively;

[0089] 2. For the problem that the edge computing box service is unavailable due to anomalies and cannot achieve self-recovery of the service, the present invention realizes service recovery by issuing monitoring instructions; when the monitoring service finds that the edge computing box is abnormal, it can issue instructions through scheduling tasks to restore its service and ensure the system to provide smooth and continuous operation services.

[0090] 3. For the problems of delayed problem discovery, lack of operation and maintenance notification scheduling and coordination, the present invention instantly pushes abnormal messages to operation and maintenance personnel by connecting to enterprise WeChat / DingTalk; currently, problem discovery mainly involves two ways: manual discovery and whether self-service is available. This method has its limitations in discovering and solving problems. By connecting to instant messaging tools, corresponding problems can be handled quickly and conveniently.

[0091] like Figure 7 As shown, the patent of this invention has been applied in actual production. The specific equipment includes an injection molding machine, a dryer, a mold temperature controller and a manipulator, and the edge computing device is an edge computing box.

[0092] Correspondingly, the overall monitoring system mainly consists of four parts: monitoring service, network, edge computing box, and equipment; the monitoring service collects network data through the Simple Network Management Protocol (SNMP); the edge computing box collects equipment information data through MODBUS, MQTT, OPC and other protocols commonly used by industrial equipment, and the monitoring service connects to the edge computing box through HTTP and MQTT protocols to collect edge service indicator parameter data and equipment monitoring indicator data.

[0093] The core business processing flow includes: data collection and classification preprocessing; the three modules of network data processing module, edge computing box data processing module, and device signal data processing module perform calculations on the received data according to the indicator parameter settings, and then trigger warnings or abnormal processing message events according to the corresponding business; the message module notifies the corresponding processor when receiving the message; the monitoring and guarding service performs edge box computing abnormal service recovery processing. When the edge computing box service is abnormal, it will try to recover. If the recovery fails, a message notification will be triggered. This solves the problem of delayed problem discovery on the one hand; solves the problem of problem location on the other hand; and adds the function of edge computing service recovery. In actual operation, the system's ability to operate continuously and the reliability and stability of system services are improved, thereby increasing customers' experience and satisfaction with the overall system use.

[0094] The present invention also provides a memory storing a plurality of instructions, wherein the instructions are used to implement the method as in the first embodiment.

[0095] like Figure 8 As shown, the present invention also provides an electronic device, including a processor 301 and a memory 302 connected to the processor 301, the memory 302 stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the method as in the first embodiment.

[0096] Although preferred embodiments of the present invention have been described, additional changes and modifications may be made to these embodiments by those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention. Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A monitoring method for edge computing systems for discrete industries, characterized in that: include: S1, collects indicator information and network information; The indicator information and the network information are used to accurately identify whether the service unavailability is caused by a service communication problem when the service of the edge computing system is unavailable, and to instantly push the abnormal information corresponding to the service unavailability to the operation and maintenance personnel; S2: Perform corresponding monitoring on the edge computing system based on the obtained indicator information and network information.

2. The method for monitoring edge computing systems for discrete industries according to claim 1, characterized in that: The indicator information includes the ports, number of connections and status of the service network of the discrete industrial equipment and the edge computing system; the network information includes the network information of the edge computing system and the monitoring service.

3. The method for monitoring edge computing systems for discrete industries according to claim 2, characterized in that: The S2 includes: S21, classifying the indicator information and network information into network information, edge computing system information, and device information; S22, based on the network information and the preset network parameter indicators, determining whether it is necessary to issue an early warning or abnormal information to the network operation and maintenance personnel, when the collected indicator parameters exceed the preset setting value, an early warning notification event is issued, and when the collected network status is abnormal information, it is confirmed that a network abnormality has occurred, triggering a network abnormality event; S23, obtaining heartbeat detection information, and determining based on the heartbeat detection information; if the edge service exception occurs, judging whether the edge service exception occurs based on the edge computing system information, the heartbeat detection information and the parameter indicators of the preset edge system; if the edge computing service exception occurs, triggering edge service exception event information, and sending the edge service exception event information to the workshop person in charge through the message task service; if the edge service exception does not occur, ending the corresponding monitoring; S24, determining whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, sending a message of the equipment abnormality to the workshop manager through the message task service for tracking and processing.

4. The method for monitoring edge computing systems for discrete industries according to claim 3, characterized in that: The S23 also includes: judging whether it is necessary to issue an early warning to the system operation and maintenance personnel based on the edge computing system information, heartbeat detection information and pre-set edge system parameter indicators, and also includes: if an edge computing service abnormality occurs, triggering the guardian scheduling service, which sends instructions to the corresponding edge computing system based on the abnormal information to restore the edge service; including: after sending the edge service abnormal event information to the workshop manager through the message task service, based on the receipt of the edge service abnormal event information, issuing an edge service recovery instruction through the guardian scheduling service; and judging whether the edge service is successfully restored. If the edge service is successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

5. An edge computing system monitoring system for discrete industries, used to implement any of the methods described in claims 1-4, characterized in that: include: An information collection module (101), used for collecting indicator information and network information; The indicator information and the network information are used to accurately identify whether the service unavailability is caused by a service communication problem when the service of the edge computing system is unavailable, and to instantly push the abnormal information corresponding to the service unavailability to the operation and maintenance personnel; The system monitoring module (102) is used to perform corresponding monitoring on the edge computing system based on the obtained indicator information and network information, including: the system monitoring module monitors whether the service is available by detecting the heartbeat of each edge system side; monitors whether the network is normal, monitors the network port and the number of connections; monitors the device information data connected to each edge computing system to determine whether the device is operating normally; the system monitoring module (102) collects network-related data through the simple network management protocol SNMP, determines the network status by collecting the real-time indicator data of the network, and issues a message event notification if it is abnormal; collects data of edge computing boxes and devices through the message queue telemetry transmission protocol MQTT and the hypertext transfer protocol HTTP, and determines whether the edge computing boxes and devices are abnormal through the indicator data, and issues a message event notification if it is abnormal.

6. The edge computing system monitoring system for discrete industries according to claim 5, characterized in that: The system monitoring module (102) comprises: An information classification submodule (1021), used to classify the indicator information and network information into network information, edge computing system information and device information; A network anomaly monitoring submodule (1022) is used to determine whether it is necessary to issue an early warning or abnormal information to the network operation and maintenance personnel based on the network information and the preset network parameter indicators. When the collected indicator parameters exceed the preset setting value, an early warning notification event is issued. When the collected network status is abnormal information, it is confirmed that a network anomaly has occurred, triggering a network abnormality event. The edge service abnormality monitoring submodule (1023) is used to determine based on the heartbeat detection information; if the edge service abnormality occurs, determine whether the edge service abnormality occurs based on the edge computing system information, the heartbeat detection information and the parameter indicators of the preset edge system; if the edge computing service abnormality occurs, trigger the edge service abnormality event information, and send the edge service abnormality event information to the workshop person in charge through the message task service; if the edge service abnormality does not occur, end the corresponding monitoring; The equipment abnormality monitoring submodule (1024) is used to determine whether an equipment abnormality occurs based on the equipment information; if the equipment abnormality occurs, the message of the equipment abnormality is sent to the workshop manager through the message task service for tracking and processing.

7. The edge computing system monitoring system for discrete industries according to claim 6, characterized in that: The edge service abnormality monitoring submodule (1023) also includes: Message task service unit (10231) and guard scheduling service unit (10232); Wherein: the message task service unit (10231) is used to provide message task services, and is used to send edge computing service unavailable event messages to operation and maintenance personnel; send network abnormality messages to operation and maintenance personnel; send equipment operation abnormality messages to workshop managers; The guard scheduling service unit (10232) is used to provide guard scheduling services; After the edge service abnormal event information is sent to the workshop manager through the message task service, based on the received edge service abnormal event information, an edge service recovery instruction is issued through the guardian scheduling service; and it is determined whether the edge service has been successfully restored. If the edge service has been successfully restored, the process processing is completed; if the edge service recovery is unsuccessful, the enterprise information is immediately pushed to the operation and maintenance personnel through the message task service to facilitate the intervention of the operation and maintenance personnel.

8. The edge computing system monitoring system for discrete industries according to claim 7, characterized in that: The system further includes: a basic module, the basic module being used to set index parameters and index values ​​of a network, set index parameters and index values ​​of a monitoring device, and set index parameters and index values ​​of an edge computing box; The indicator parameters and indicator values ​​of the network include one or more indicator parameters and indicator values ​​in status, latency, utilization rate and connection; the indicator parameters and indicator values ​​of the monitoring device include one or more indicator parameters and indicator values ​​in power-on status and connection status; the indicator parameters and indicator values ​​of the edge computing box include one or more indicator parameters and indicator values ​​in service status, CPU, memory and disk I / O.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a plurality of instructions, and the processor is used to read the instructions and execute the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be read by a processor to execute the method according to any one of claims 1 to 4.

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