Real-time fault management method and device of integrated control system, and computer readable storage medium

By establishing a system failure model in the heterogeneous systems of large manufacturing enterprises and using IoT technology to collect equipment data in real time, identifying and managing faults, the problem of difficult to achieve unified real-time fault detection and management in heterogeneous systems is solved, and the system is improved stability and safety, and improve the efficiency and accuracy of fault handling.

CN119439963APending Publication Date: 2025-02-14GUANGDONG DIOR TECH CO LTD
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Patent Information

Application Number
CN202411575963.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-06
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

In large manufacturing enterprises, in heterogeneous systems with different manufacturers, different models of sensors, electromechanical equipment and different production control subsystems, it is difficult to achieve unified real-time fault detection and management, resulting in system stability and safety. challenge.

Method used

By establishing a system failure model, including device failure model and communication failure model, using IoT technology to collect device data in real time, combining the fault identification policy library and identification algorithm, identify and manage faults in heterogeneous systems, and push fault information to visualization in real time Monitoring platform.

Benefits of technology

Real-time management of integrated control systems is realized, the stability and safety of the system is improved, and the flexibility and versatility are high. It can detect and deal with faults in a timely manner, reduce production impacts, and improve the efficiency and accuracy of fault handling.

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Abstract

The invention discloses a real-time fault management method and device of an integrated control system, and a computer readable storage medium. The method comprises the following steps: establishing a system fault model; establishing a fault identification strategy library and a corresponding identification algorithm for the fault type of the non-intelligent equipment; acquiring equipment data of various types of equipment in the integrated control system in real time through information acquisition equipment on the basis of an internet-of-things technology; for non-intelligent equipment, identifying a fault type according to equipment data collected in real time, a fault identification strategy library and a corresponding identification algorithm; for the intelligent equipment, finding a corresponding fault model according to the fault diagnosis information in the equipment data acquired in real time, and then identifying a fault type according to the fault model; and sending the identified fault type to a visual monitoring platform of the integrated control system, wherein the visual monitoring platform is used for displaying operation monitoring information of the integrated control system in real time. According to the invention, real-time management of the integrated control system can be realized.
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Description

Technical Field

[0001] The present invention relates to the field of large systems for secondary integration of multiple different subsystems in industrial enterprises, and in particular to a real-time management method for faults of an ultra-large-scale heterogeneous system industrial integrated control system in large manufacturing enterprises that mixes sensors, electromechanical equipment and different production control subsystems of different manufacturers and models through IOT real-time network connection and real-time database. Background Art

[0002] With the rapid development of industrial informatization and intelligence, different electromechanical equipment and different production control systems in enterprises have become increasingly complex. Enterprises have interconnected different sensors, electromechanical equipment, and control subsystems through IOT real-time networks and real-time databases to solve the problem of "islands" of management and working condition information, making the scale and complexity of the overall industrial control network monitoring and control system of enterprises increasingly high. The integration of such hybrid heterogeneous systems has challenged the stability and security of the system.

[0003] Taking an equipment factory as an example, there are hundreds of manufacturing equipment of various sizes in the factory, including not only different professional manufacturing equipment, but also various power supply equipment, communication equipment and host equipment, etc. Each equipment has different types and manufacturers, and the fault information expressed is diverse, so it is not easy to manage uniformly. As an important means to ensure the normal operation of the whole system, the comprehensive fault management based on the faults of each device and subsystem is often difficult to achieve real-time and accurate fault detection and management in a unified and flexible way in the enterprise integrated platform system (also called heterogeneous system) constructed by multiple different sensors, multiple different electromechanical equipment and multiple different heterogeneous subsystems. Therefore, it is very necessary to propose a real-time perception and management method for faults in heterogeneous industrial control systems. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a real-time fault management method and device for an integrated control system, and a computer-readable storage medium, which can realize real-time management of the integrated control system and improve the stability and security of the system.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a real-time fault management method for an integrated control system, wherein the integrated control system is composed of a plurality of information acquisition devices, a plurality of electromechanical control devices, and a plurality of heterogeneous subsystems, each of which includes at least one intelligent device or a non-intelligent device, and the method includes:

[0006] Establish a system fault model; the system fault model includes a device fault model and a communication fault model; the device fault model includes a fault model of an intelligent device and a fault model of a non-intelligent device; the intelligent device has a self-diagnosis and communication interface, and the fault model of the intelligent device includes fault diagnosis information of all intelligent devices and their corresponding fault types; the non-intelligent device needs to collect its own device data, and determine the fault type according to the device data and the pre-set identification strategy analysis;

[0007] Establish a fault identification strategy library and corresponding identification algorithm for the fault model of non-intelligent equipment based on data differentiation detection to identify such equipment faults;

[0008] The device data of various devices in the integrated control system are collected in real time by information collection equipment based on the Internet of Things technology; the device data includes the device operation status, performance parameters and environmental parameters; for smart devices, the device data also includes fault diagnosis information;

[0009] For non-intelligent devices, the fault type is identified based on the real-time collected device data, the fault identification strategy library and its corresponding identification algorithm;

[0010] For smart devices, the corresponding fault model is found based on the fault diagnosis information in the real-time collected device data, and then the fault type is identified based on the fault model;

[0011] The identified fault type is sent to the visual monitoring platform of the integrated control system, and the visual monitoring platform is used to display the operation monitoring information of the integrated control system in real time.

[0012] As an optional implementation, in the first aspect of the present invention, the fault model of the intelligent device is a first database, which includes a device fault system identification, a device type code, a device static attribute, a device embedded fault code, a device fault description and a solution library.

[0013] As another optional implementation, in the first aspect of the present invention, the fault model of the non-intelligent device is a second database, which includes device fault system identification, device type code, device static attributes, fault identification strategy library and algorithm, and device fault description and solution library.

[0014] As another optional implementation, in the first aspect of the present invention, the device type code of the first database and the device type code of the second database are bar codes, two-dimensional codes or multi-digit strings.

[0015] As another optional implementation, in the first aspect of the present invention, based on a big data processing algorithm, the device data collected in real time is cleaned, denoised, and format converted in sequence.

[0016] As another optional implementation, in the first aspect of the present invention, the integrated control system further includes a project integrated fault information database, and the method further includes:

[0017] The identified fault types are automatically recorded in the project integrated fault information database, and the system-level fault codes, fault descriptions and solutions including unified codes are pushed to the visual monitoring platform.

[0018] The second aspect of the present invention discloses a real-time fault management device for an integrated control system, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps in the method disclosed in the first aspect of the present invention.

[0019] A third aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the method disclosed in the first aspect of the present invention.

[0020] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0021] Compared with the prior art, the embodiments of the present invention realize real-time management of the integrated control system, are particularly suitable for rapid fault location in a large geographic space, and improve the stability and safety of the system; through the establishment of a fault model, the maintenance of a fault identification strategy library, and a real-time fault identification algorithm, the flexibility of real-time management of heterogeneous system faults is improved, while having a high degree of versatility; through real-time data collection and processing, the present invention can timely discover and handle faults, reducing the impact of faults on production; through fault location, the embodiments of the present invention can accurately point out the location and type of the fault, providing strong support for fault handling; the embodiments of the present invention use visualization technology to intuitively display fault information to operators, improving the efficiency and accuracy of fault handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flow chart of a real-time fault management method of an integrated control system disclosed in an embodiment of the present invention;

[0024] Figure 2 It is a structural schematic diagram of an integrated control system disclosed in an embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of a system failure model of an integrated control system disclosed in an embodiment of the present invention;

[0026] Figure 4 It is a schematic diagram of a fault model of an intelligent device class of an integrated control system disclosed in an embodiment of the present invention;

[0027] Figure 5 It is a schematic diagram of a fault model of a non-intelligent device of an integrated control system disclosed in an embodiment of the present invention;

[0028] Figure 6 It is a flow chart of the editing and configuration phase of an integrated control system disclosed in an embodiment of the present invention;

[0029] Figure 7 It is a flow chart of a real-time identification phase of an integrated control system disclosed in an embodiment of the present invention;

[0030] Figure 8 It is a structural schematic diagram of a real-time fault management device for an integrated control system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1

[0033] See also Figures 1 to 7 The embodiment of the present invention discloses a real-time fault management method of an integrated control system, wherein the integrated control system is composed of multiple sensors, multiple electromechanical devices, and multiple heterogeneous subsystems, and the method comprises:

[0034] 101. Establish a system failure model.

[0035] In this embodiment, the system fault model includes a device fault model and a communication fault model; the device fault model includes a fault model of an intelligent device and a fault model of a non-intelligent device; the intelligent device has a self-diagnosis and communication interface, and the fault model of the intelligent device includes fault diagnosis information of all intelligent devices and their corresponding fault types; the non-intelligent device needs to collect its own device data, and determine the fault type based on the device data and a pre-set identification strategy.

[0036] 102. Establish a fault identification strategy library and corresponding identification algorithms for the fault types of non-intelligent devices.

[0037] In this embodiment, the fault identification strategy library and the corresponding identification algorithm are used to identify such equipment faults. The fault identification strategy library is established based on the equipment data corresponding to different fault types in the existing information. The identification algorithm compares the real-time collected equipment data with the data in the fault identification strategy library to find the closest fault type as the fault type of the non-intelligent device.

[0038] 103. The device data of various devices in the integrated control system are collected in real time through information collection equipment based on Internet of Things technology.

[0039] In this embodiment, the device data includes the device operating status, performance parameters and environmental parameters. For smart devices, the device data also includes fault diagnosis information.

[0040] 1041. For non-intelligent devices, the fault type is identified based on the real-time collected device data, the fault identification strategy library and its corresponding identification algorithm.

[0041] 1042. For smart devices, find the corresponding fault model based on the fault diagnosis information in the device data collected in real time, and then identify the fault type based on the fault model.

[0042] 105. Send the identified fault type to a visual monitoring platform of the integrated control system, where the visual monitoring platform is used to display operation monitoring information of the integrated control system in real time.

[0043] The embodiments of the present invention realize real-time management of integrated control systems, are particularly suitable for rapid fault location in large geographic spaces, and improve system stability and security; through the establishment of fault models, maintenance of fault identification strategy libraries, and real-time fault identification algorithms, the flexibility of real-time management of heterogeneous system faults is improved, while having a high degree of versatility; through real-time data collection and processing, the present invention can timely discover and handle faults, reducing the impact of faults on production; through fault location, the embodiments of the present invention can accurately point out the location and type of faults, providing strong support for fault handling; the embodiments of the present invention use visualization technology to intuitively display fault information to operators, improving the efficiency and accuracy of fault handling.

[0044] In an optional embodiment, the fault model of the smart device is a first database, which includes a device fault system identification, a device type code, a device static attribute, a device embedded fault code, a device fault description and a solution library.

[0045] In another optional embodiment, the fault model of the non-intelligent device is a second database, which includes device fault system identification, device type code, device static attributes, fault identification strategy library and algorithm, device fault description and solution library.

[0046] In yet another optional embodiment, the device type code of the first database and the device type code of the second database are bar codes, two-dimensional codes or multi-digit strings.

[0047] In this embodiment, unified coding facilitates rapid parsing, and subsequent programming is faster and more accurate.

[0048] In another optional embodiment, based on a big data processing algorithm, the device data collected in real time is cleaned, denoised, and format converted in sequence.

[0049] In yet another optional embodiment, the integrated control system further includes a project integrated fault information database, and the method further includes:

[0050] The identified fault types are automatically recorded in the project integrated fault information database, and the system-level fault codes, fault descriptions and solutions including unified codes are pushed to the visual monitoring platform.

[0051] See also Figure 6 , Figure 6 It is a flow chart of the editing and configuration phase of the integrated control system, showing the process of equipment fault modeling and subsystem fault modeling.

[0052] See also Figure 7 , Figure 7 It is a flow chart of the real-time identification stage of the integrated control system. For each device in each subsystem, data is first collected in real time, faults are identified in real time through the model, and then device fault information is generated, so as to obtain the fault information of each device in each subsystem.

[0053] Embodiment 2

[0054] See also Figure 2 , Figure 2 It is a structural diagram of a real-time fault management device for an integrated control system disclosed in an embodiment of the present invention, including a memory 201, a processor 202 and a computer program stored in the memory, and the processor executes the computer program to implement the steps in the method disclosed in Example 1.

[0055] Embodiment 3

[0056] An embodiment of the present invention discloses a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the method disclosed in the first embodiment are implemented.

[0057] The contents disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time fault management method for an integrated control system, wherein the integrated control system is composed of a plurality of information acquisition devices, a plurality of electromechanical control devices, and a plurality of heterogeneous subsystems, each of which includes at least one intelligent device or a non-intelligent device, characterized in that: The method comprises: Establish a system fault model; the system fault model includes a device fault model and a communication fault model; the device fault model includes a fault model of an intelligent device and a fault model of a non-intelligent device; the intelligent device has a self-diagnosis and communication interface, and the fault model of the intelligent device includes fault diagnosis information of all intelligent devices and their corresponding fault types; the non-intelligent device needs to collect its own device data, and determine the fault type according to the device data and the pre-set identification strategy analysis; Establish a fault identification strategy library and corresponding identification algorithm for the fault types of non-intelligent devices; The device data of various devices in the integrated control system are collected in real time by information collection equipment based on the Internet of Things technology; the device data includes the device operation status, performance parameters and environmental parameters; for smart devices, the device data also includes fault diagnosis information; For non-intelligent devices, the fault type is identified based on the real-time collected device data, the fault identification strategy library and its corresponding identification algorithm; For smart devices, the corresponding fault model is found based on the fault diagnosis information in the real-time collected device data, and then the fault type is identified based on the fault model; The identified fault type is sent to the visual monitoring platform of the integrated control system, and the visual monitoring platform is used to display the operation monitoring information of the integrated control system in real time.

2. The real-time fault management method according to claim 1, characterized in that: The fault model of the smart device is a first database, which includes a device fault identification, a device type code, a device static attribute, a device embedded fault code, a device fault description and a solution library.

3. The real-time fault management method according to claim 1, characterized in that: The fault model of the non-intelligent device is a second database, which includes a device fault system identification, a device type code, a device static attribute, a fault identification strategy library and algorithm, and a device fault description and solution library.

4. The real-time fault management method according to claim 2 or 3, characterized in that: The device type code of the first database and the device type code of the second database are bar codes, two-dimensional codes or multi-digit strings.

5. The real-time fault management method according to claim 1, characterized in that: Based on the big data processing algorithm, the device data collected in real time is cleaned, denoised, and format converted in sequence.

6. The real-time fault management method according to claim 1, characterized in that: The integrated control system further includes a project integrated fault information database, and the method further includes: The identified fault types are automatically recorded in the project integrated fault information database, and the system-level fault codes, fault descriptions and solutions including unified codes are pushed to the visual monitoring platform.

7. A real-time fault management device for an integrated control system, comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.