Automatic exception handling system based on remote monitoring and management

Abstract

The present invention discloses an automated exception handling system based on remote monitoring and management, which relates to the technical field of remote monitoring and management, and includes a front-end monitoring and acquisition subsystem, a network client, and an exception handling subsystem; the front-end monitoring and acquisition subsystem adopts hardware compression and software decompression technology, and realizes remote video monitoring operation through the Web function of Windows IE browser on the computer terminal, and establishes a video monitoring workstation; the network client is used to classify and store the collected data, and to judge and verify the data for abnormality, and the verification value is manually set to determine whether there is an abnormality, and the abnormality is separately saved, and then the abnormality is transmitted to the exception handling subsystem. The automated exception handling system based on remote monitoring and management greatly improves the operation and maintenance management efficiency of production equipment through the combination of remote monitoring and automated exception handling, reduces the workload of manual inspection, and reduces the operation and maintenance cost.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring and management, in particular to an automatic exception handling system based on remote monitoring and management. Background Art

[0002] Remote monitoring can be literally divided into two parts: "monitoring" and "control". "Monitoring" refers to obtaining information through the network; while "control" refers to the method of operating the remote computer through the network, restarting and shutting down the remote computer, and also includes the daily settings of the remote computer.

[0003] At present, with the development of intelligent management and unmanned production, it is increasingly urgent to improve the automated processing capabilities of remote monitoring and management. The current remote management system is limited to remote monitoring and still requires manual supervision and contact with field personnel for adjustment operations. Its exception handling method is relatively traditional, resulting in low exception handling efficiency. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an automated exception handling system based on remote monitoring and management, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automated exception handling system based on remote monitoring and management, including a front-end monitoring and acquisition subsystem, a network client, and an exception handling subsystem;

[0006] The front-end monitoring and acquisition subsystem consists of a data acquisition module, a data remote transmission module, a data processing module, and a remote monitoring terminal. The subsystem uses hardware compression and software decompression technology to achieve remote video monitoring operations through the Web function of Windows IE browser on a computer terminal and establish a video monitoring workstation.

[0007] The network client is composed of a computer and client software. The network client is interactively connected with the front-end monitoring and acquisition subsystem to classify and store the collected data and to determine the abnormality of the data. The determination value is manually set to determine whether there is an abnormality and save the abnormality separately. The abnormality is then transmitted to the abnormality handling subsystem. When the client performs remote monitoring, identity authentication is required. After passing the authentication, remote monitoring is realized;

[0008] The exception handling subsystem is used to capture and determine the exceptions that occur during monitoring and management, establish corresponding solutions based on the determination results, solve the abnormal points in a targeted manner, and regularly monitor the base points where the abnormalities occur;

[0009] in,

[0010] The exception handling subsystem consists of an exception identification and classification module, an exception handling module, a processing log recording module, and a monitoring and review module.

[0011] Optionally, the data acquisition module is used for collecting abnormal signals, video signals, audio signals and alarm signals; the signal processing and transmission device in the system is a network video server, which is responsible for transmitting audio, video signals, alarm signals and abnormal signals to the remote client, and is also responsible for receiving pan-tilt control signals and audio intercom signals sent by the client, and is also responsible for collecting the working status information and equipment operating parameters of the equipment. The acquisition module is interactively connected with multiple sensors and image acquisition devices at the front end of the equipment, and a temporary storage unit for data classification is provided in the data acquisition module.

[0012] Optionally, the data remote transmission module is used to transmit the collected data to the network client via wired or wireless means, so as to realize the information interaction operation between the front-end monitoring and collection subsystem and the network client, and between the exception handling subsystem and the front-end monitoring and collection subsystem;

[0013] Wired transmission operation uses one or more of Ethernet (TCP / IP and network multicast technology to maximize the network's transmission performance and network bandwidth and avoid network congestion), E1, and wireless LAN as the transmission channel;

[0014] Wireless transmission operations use one or more of Bluetooth, Wi-Fi, and 4G / 5G.

[0015] Optionally, the data processing module is used to parse and store the collected text, image, video, and sound data, decode the text, image, video, and sound data, convert them into a format that can be displayed on a remote monitoring terminal, and store the decoded content files. The storage method adopts distributed storage, and the data is stored in multiple storage devices in a dispersed manner.

[0016] Optionally, the remote monitoring terminal is a remote control interface for users to interact with the remote monitoring system, and is one or more of a computer, a mobile phone, and a tablet computer; real-time viewing and playback of video recordings are performed through the remote monitoring terminal, thereby sending control instructions to the remote device to achieve remote operation;

[0017] The remote monitoring terminal is composed of a central image processing server, an image monitoring terminal, image processing software, and remote video monitoring software. It is used to receive images and alarm signals transmitted from the scene, prompt the staff to take measures, realize remote control of the matrix, camera, pan / tilt head and long-distance linkage control, and realize remote video file download, image retrieval and digital video playback operations.

[0018] The central image management server is used to manage the transmission and storage of images. The system management database, system management software and monitoring terminal module are installed on the management server, which plays a role in the management and service of the entire system.

[0019] Optionally, the exception handling module is composed of an exception identification unit and an exception classification unit;

[0020] The abnormality identification unit compares the monitoring data with the set threshold value during the monitoring process, and sets the positive and negative intervals. If the monitoring data exceeds the interval range, it is judged as abnormal. At the same time, an independent coordinate system is established based on the monitoring data, with the time unit as the X-axis and the monitoring data as the Y-axis. The data is marked in units of equal time intervals, and abnormalities are identified through the change trend of the data;

[0021] The exception classification unit classifies, stores and manages exceptions according to set categories. The categories are set to be multi-layered, that is, a single exception exists in multiple categories at the same time. The exception categories are distinguished based on logic, time, operating status, hardware, software, input / output, and global / local implementation.

[0022] Optionally, the exception handling module captures, records and processes exceptions in a structured manner according to the specific circumstances of the exception state, and writes different processing logic according to the type of exception captured; for example, if a file read exception is captured, the user is prompted in the catch block to check whether the file path is correct; and logs are recorded during the exception handling process, recording the time, type, and processing process information of the exception to the processing log recording module.

[0023] Optionally, the processing log recording module includes operation time, execution operation content, and saving operation results. Its log recording information is also stored in the exception library as a comparison, so as to help operation and maintenance personnel quickly locate the occurrence point and cause of the problem. The log recording includes multiple levels of settings, including development and debugging stage records, normal operation and important event information records, abnormal problem warning information records, and error information records.

[0024] Optionally, the monitoring review module conducts 24h / 7d continuous monitoring of abnormal systems and equipment, and timely discovers performance fluctuations and abnormal situations through continuous monitoring. It uses one of Zabbix and Prometheus as an automated monitoring tool, and sets monitoring frequency and threshold parameters. When the monitoring indicators exceed the threshold, an alarm is issued to remind the operation and maintenance personnel to handle it.

[0025] The present invention provides an automated exception handling system based on remote monitoring and management, which has the following beneficial effects:

[0026] This automated exception handling system based on remote monitoring and management has greatly improved the operation and maintenance efficiency of production equipment by combining remote monitoring with automated exception handling; it has reduced the workload of manual inspections and reduced operation and maintenance costs; at the same time, it can promptly detect and handle equipment anomalies, reduce production downtime caused by equipment failures, and improve production efficiency and product quality; and through the analysis of abnormal data, it can perform preventive maintenance on equipment to extend the service life of the equipment; ensure the stable operation of the equipment and protect the security and availability of enterprise data; timely handling of abnormal situations can avoid business interruptions caused by equipment failures or performance degradation, and improve the business continuity and competitiveness of the enterprise; at the same time, through the analysis of monitoring data, it can optimize the resource allocation of the data center and improve energy utilization efficiency. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0028] The present invention provides a technical solution: an automated exception handling system based on remote monitoring and management, comprising a front-end monitoring and acquisition subsystem, a network client, and an exception handling subsystem;

[0029] The front-end monitoring and acquisition subsystem consists of a data acquisition module, a data remote transmission module, a data processing module, and a remote monitoring terminal. The subsystem uses hardware compression and software decompression technology to achieve remote video monitoring operations through the Web function of Windows IE browser on a computer terminal and establish a video monitoring workstation.

[0030] The data acquisition module is used for collecting abnormal signals, video signals, audio signals and alarm signals. The signal processing and transmission device in the system is a network video server, which is responsible for transmitting audio, video signals, alarm signals and abnormal signals to the remote client, and is also responsible for receiving the pan-tilt control signals and audio intercom signals sent by the client. It is also responsible for collecting the working status information and equipment operating parameters of the equipment. The acquisition module is interactively connected with multiple sensors and image acquisition devices at the front end of the equipment. The data acquisition module is provided with a temporary storage unit for data classification.

[0031] The data remote transmission module is used to transmit the collected data to the network client via wired or wireless means, so as to realize the information interaction operation between the front-end monitoring and collection subsystem and the network client, and between the exception handling subsystem and the front-end monitoring and collection subsystem;

[0032] Wired transmission operation uses one or more of Ethernet (TCP / IP and network multicast technology to maximize the network's transmission performance and network bandwidth and avoid network congestion), E1, and wireless LAN as the transmission channel;

[0033] Wireless transmission operations use one or more of Bluetooth, Wi-Fi, and 4G / 5G.

[0034] The data processing module is used to parse and store the collected text, image, video, and sound data, decode the text, image, video, and sound data, and convert them into a format that can be displayed on a remote monitoring terminal. At the same time, the decoded content files are stored in a distributed storage manner, and the data is stored in multiple storage devices.

[0035] Remote monitoring terminal, a remote control interface for users to interact with the remote monitoring system, using one or more of a computer, mobile phone, or tablet computer; real-time viewing and playback of video recordings are performed through the remote monitoring terminal, thereby sending control commands to remote devices to achieve remote operation;

[0036] The remote monitoring terminal is composed of a central image processing server, an image monitoring terminal, image processing software, and remote video monitoring software. It is used to receive images and alarm signals transmitted from the scene, prompt the staff to take measures, realize remote control of the matrix, camera, pan / tilt head and long-distance linkage control, and realize remote video file download, image retrieval and digital video playback operations.

[0037] The central image management server is used to manage the transmission and storage of images. The system management database, system management software and monitoring terminal module are installed on the management server, which plays a role in the management and service of the entire system.

[0038] The network client is composed of a computer and client software. The network client is interactively connected with the front-end monitoring and acquisition subsystem to classify and store the collected data and to determine the abnormality of the data. The determination value is manually set to determine whether there is an abnormality and save the abnormality separately. The abnormality is then transmitted to the abnormality handling subsystem. When the client performs remote monitoring, identity authentication is required. After passing the authentication, remote monitoring is realized;

[0039] The exception handling subsystem is used to capture and determine the exceptions that occur during monitoring and management, establish corresponding solutions based on the determination results, solve the abnormal points in a targeted manner, and regularly monitor the base points where the abnormalities occur;

[0040] in,

[0041] The exception handling subsystem consists of an exception identification and classification module, an exception handling module, a processing log recording module, and a monitoring and review module;

[0042] The exception handling module consists of an exception identification unit and an exception classification unit;

[0043] The abnormality identification unit compares the monitoring data with the set threshold value during the monitoring process, and sets the positive and negative intervals. If the monitoring data exceeds the interval range, it is judged as abnormal. At the same time, an independent coordinate system is established based on the monitoring data, with the time unit as the X-axis and the monitoring data as the Y-axis. The data is marked in units of equal time intervals, and abnormalities are identified through the change trend of the data;

[0044] The exception classification unit classifies, stores and manages exceptions according to set categories. The categories are set to be multi-layered, that is, a single exception exists in multiple categories at the same time. The exception categories are distinguished based on logic, time, operating status, hardware, software, input / output, and global / local implementation.

[0045] The exception handling module captures, records and handles exceptions in a structured manner according to the specific circumstances of the exception state. Different processing logic is written according to the type of exception captured. For example, if a file reading exception is captured, the user is prompted in the catch block to check whether the file path is correct. Logs are recorded during the exception handling process, and the time, type and processing process of the exception are recorded in the processing log recording module.

[0046] The processing log recording module includes the operation time, execution operation content, and saving operation results. The log recording information is also stored in the exception library as a comparison to help operation and maintenance personnel quickly locate the occurrence point and cause of the problem. The log recording includes multiple levels of settings, including development and debugging stage records, normal operation and important event information records, abnormal problem warning information records, and error information records.

[0047] The monitoring review module conducts 24h / 7d continuous monitoring of abnormal systems and equipment. Through continuous monitoring, performance fluctuations and abnormal situations can be discovered in a timely manner. One of Zabbix and Prometheus is used as an automated monitoring tool, and the monitoring frequency and threshold parameters are set. When the monitoring indicators exceed the threshold, an alarm is issued to remind the operation and maintenance personnel to handle it.

[0048] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An automated exception handling system based on remote monitoring and management, characterized in that: Including front-end monitoring and acquisition subsystem, network client, and exception handling subsystem; The front-end monitoring and acquisition subsystem consists of a data acquisition module, a data remote transmission module, a data processing module, and a remote monitoring terminal. The subsystem uses hardware compression and software decompression technology to achieve remote video monitoring operations through the Web function of Windows IE browser on a computer terminal and establish a video monitoring workstation. The network client is composed of a computer and client software. The network client is interactively connected with the front-end monitoring and acquisition subsystem to classify and store the collected data and to determine the abnormality of the data. The determination value is manually set to determine whether there is an abnormality and save the abnormality separately. The abnormality is then transmitted to the abnormality handling subsystem. When the client performs remote monitoring, identity authentication is required. After passing the authentication, remote monitoring is realized; The exception handling subsystem is used to capture and determine the exceptions that occur during monitoring and management, establish corresponding solutions based on the determination results, solve the abnormal points in a targeted manner, and regularly monitor the base points where the abnormalities occur; in, The exception handling subsystem consists of an exception identification and classification module, an exception handling module, a processing log recording module, and a monitoring and review module.

2. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The data acquisition module is used for collecting abnormal signals, video signals, audio signals and alarm signals; the signal processing and transmission device in the system is a network video server, which is responsible for transmitting audio, video signals, alarm signals and abnormal signals to the remote client, and is also responsible for receiving the pan-tilt control signal and audio intercom signal sent by the client. It is also responsible for collecting the working status information and equipment operation parameters of the equipment. The acquisition module is interactively connected with multiple sensors and image acquisition devices at the front end of the equipment, and a temporary storage unit for data classification is provided in the data acquisition module.

3. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The data remote transmission module is used to transmit the collected data to the network client via wired or wireless means, so as to realize the information interaction operation between the front-end monitoring and collection subsystem and the network client, and between the exception handling subsystem and the front-end monitoring and collection subsystem; Wired transmission operation uses one or more of Ethernet (TCP / IP and network multicast technology to maximize the network's transmission performance and network bandwidth and avoid network congestion), E1, and wireless LAN as the transmission channel; Wireless transmission operations use one or more of Bluetooth, Wi-Fi, and 4G / 5G.

4. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The data processing module is used to parse and store the collected text, image, video, and sound data, decode the text, image, video, and sound data, and convert them into a format that can be displayed on a remote monitoring terminal, and store the decoded content files at the same time. The storage method adopts distributed storage, and the data is dispersedly stored in multiple storage devices.

5. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The remote monitoring terminal is a remote control interface for users to interact with the remote monitoring system, and is a computer, a mobile phone, a tablet computer, or other similar device. The remote monitoring terminal is used to watch and play back videos in real time, thereby sending control instructions to remote devices to achieve remote operation. The remote monitoring terminal is composed of a central image processing server, an image monitoring terminal, image processing software, and remote video monitoring software. It is used to receive images and alarm signals transmitted from the scene, prompt the staff to take measures, realize remote control of the matrix, camera, pan / tilt head and long-distance linkage control, and realize remote video file download, image retrieval and digital video playback operations. The central image management server is used to manage the transmission and storage of images. The system management database, system management software and monitoring terminal module are installed on the management server, which plays a role in the management and service of the entire system.

6. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The exception handling module is composed of an exception identification unit and an exception classification unit; The abnormality identification unit compares the monitoring data with the set threshold value during the monitoring process, and sets the positive and negative intervals. If the monitoring data exceeds the interval range, it is judged as abnormal. At the same time, an independent coordinate system is established based on the monitoring data, with the time unit as the X-axis and the monitoring data as the Y-axis. The data is marked in units of equal time intervals, and abnormalities are identified through the change trend of the data; The exception classification unit classifies, stores and manages exceptions according to set categories. The categories are set to be multi-layered, that is, a single exception exists in multiple categories at the same time. The exception categories are distinguished based on logic, time, operating status, hardware, software, input / output, and global / local implementation.

7. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The exception handling module captures, records and processes exceptions in a structured manner according to the specific circumstances of the exception state, and writes different processing logics according to the type of exception captured; for example, if a file read exception is captured, the user is prompted in the catch block to check whether the file path is correct; and logs are recorded during the exception handling process, and the time, type and processing process information of the exception are recorded in the processing log recording module.

8. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The processing log recording module includes operation time, execution operation content, and operation result saving operations. Its log recording information is also stored in the exception library as a comparison ratio to help operation and maintenance personnel quickly locate the occurrence point and cause of the problem. The log recording includes multiple level settings, including development and debugging stage records, normal operation and important event information records, abnormal problem warning information records, and error information records.

9. The automated exception handling system based on remote monitoring and management according to claim 1 is characterized in that: The monitoring review module conducts 24h / 7d continuous monitoring of abnormal systems and equipment, and timely discovers performance fluctuations and abnormal situations through continuous monitoring. It uses one of Zabbix and Prometheus as an automated monitoring tool, and sets monitoring frequency and threshold parameters. When the monitoring indicators exceed the threshold, an alarm is issued to remind the operation and maintenance personnel to handle it.