Industrial alarming device design method based on dynamic fusion of global uncertainty evidence

Abstract

The invention discloses an industrial alarming device design method based on dynamic fusion of a global uncertainty evidence, and belongs to the technical field of industrial alarming device designing. According to the method, collected procedure variable data is converted to alarming evidences of each moment based on a continuous type Sigmoid membership function and a Gaussian type membership function, a certain numerical value is given to global uncertainty information in the process, and processing on an uncertainty evidence can be better presented; linear update is conducted on rules by adopting a conditional evidence, updating fusion is conducted on the alarming evidence at the current moment and the global alarming evidence in the last moment, the global alarming evidence at the current moment is finally obtained, and alarming decision making is conducted according to related decision making principles. By means of the method, the random uncertainty and the recognition uncertainty of the procedure variable are effectively reduced in the updating fusion, and the accuracy of the alarming device is improved.

Description

technical field [0001] The invention relates to a design method of an industrial alarm based on global uncertainty evidence dynamic fusion, and belongs to the technical field of industrial alarm design. Background technique [0002] Large industrial plants consist of thousands of physical objects, sensors, communication networks, actuators and control loops. Any abnormality or failure in these system components may lead to breakdowns, unplanned shutdowns and even some dangerous accidents. As the first safety barrier, alarm systems need to detect anomalies or failures in the plant and generate alarms to notify operators. By understanding and confirming the alarm information, the operator can investigate the cause of the alarm and take necessary corrective measures to restore normal operation and avoid or reduce unnecessary losses. [0003] The most common practice for alarm generation is to compare a process variable to a threshold (also known as a trip point, control limit...

AI Technical Summary

Problems solved by technology

In the traditional alarm design method, the influence of uncertain factors on the alarm cannot be effectively solved, so the false positive rate and false positive rate of the alarm cannot be effectively reduced, so the purpose of improving the accuracy of the alarm cannot be achieved.

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