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Fault Diagnosis Method of Industrial Control System Based on Boolean Algorithm

An industrial control system and fault diagnosis technology, which is applied in general control systems, control/adjustment systems, test/monitoring control systems, etc., can solve problems such as increased investment costs, difficulties in retrofitting old systems, inability to perform loop detection and non-intelligent equipment detection, etc.

Active Publication Date: 2018-05-08
北京天鸿同信科技有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, this system requires the monitored equipment to have sufficient intelligence and have protocols such as HART, FF and Profibus, so it is inevitable to increase the high investment cost. At the same time, this system can only detect field instrument equipment, and cannot perform loop detection and For the detection of intelligent equipment, the process production data must be collected by field bus communication, which reduces real-time performance and is suitable for new projects, but it is difficult to transform the old system

Method used

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  • Fault Diagnosis Method of Industrial Control System Based on Boolean Algorithm
  • Fault Diagnosis Method of Industrial Control System Based on Boolean Algorithm
  • Fault Diagnosis Method of Industrial Control System Based on Boolean Algorithm

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example 4

[0038] The above matrix example is a diagnostic method for the monitoring circuit, but this method does not include the diagnosis of the monitored equipment 4, and if the monitored equipment 4 fails, it will inevitably affect the data status of the instrument connected with it. The first monitoring is given below. Circuit 1, the second monitoring circuit 2, the third monitoring circuit 3 and the monitored equipment 4 form a diagnosis method of Boolean matrix data, example 4 is as follows:

[0039]

[0040] Perform a logical OR operation on the last data of each row in the Boolean matrix data. If the result is 0, it means that the monitored equipment 4 is in normal condition. Turn to Example 3 for the diagnosis method of the monitoring loop to diagnose the monitoring loop data; if the result of the algorithm is 1 , indicating that the status of the monitored device 4 is abnormal. After solving the fault of the monitored device 4, repeat this method to confirm the status of th...

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Abstract

The invention relates to a Boolean algorithm-based industrial control system fault diagnosis method and belongs to the fault diagnosis field. According to the method of the invention, the states of instruments, a plurality of node devices and a monitored device are set as a normal state which is represented by 0 and an abnormal state which is represented by 1; the data of a plurality of monitoring loops are acquired to form Boolean matrix data; and the states of the instruments and all devices on the loops can be diagnosed through Boolean operation and a set diagnostic method; and therefore, the location of a fault point can be positioned. The method of the invention is suitable for fault point diagnosis and troubleshooting of low-intelligent devices or non-intelligent devices.

Description

technical field [0001] The invention belongs to the field of fault diagnosis methods, and in particular relates to a method for fault diagnosis of an industrial control system based on a Boolean algorithm. Background technique [0002] In the field of industrial control, people pay more attention to the operating data and parameters of the process, but often ignore the monitoring of the operating status of the monitored equipment. Enterprise users usually diagnose through the data monitored in the process to confirm whether the data is normal, and the abnormal data is not only the result of process misoperation, but is often caused by the failure of monitoring equipment, monitored equipment and node equipment in the loop the result of. Therefore, it is also necessary to monitor the operating status of the monitoring equipment, the monitored equipment and the node equipment in the circuit. [0003] At present, systems with equipment monitoring functions in the industry, suc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0235
Inventor 陆伟庆
Owner 北京天鸿同信科技有限公司