Data processing method of chip for fault detection and diagnosis in multistage reciprocating compressor

Abstract

The invention discloses a data processing method of a chip for fault detection and diagnosis in a multistage reciprocating compressor, and the chip for fault detection and diagnosis is subdivided into eight processing units which can operate in parallel, namely an IO unit, a control unit, a parent individual storage unit, a child individual storage unit, a crossover operation unit, a mutation operation unit, an adaptability degree calculation unit and a section operation unit, and data processing is performed in the eight processing units and comprises three phases: A, an initiation process; B an evolutionary computation continuity process; and C, a process for terminating evolutionary computation. In the invention, by changing the timing sequence of an on-line fault detection and diagnosis algorithm into a parallel one, the computation speed of the algorithm is improved, and the computation time is reduced, thus achieving the requirement of an embedded system on instantaneity.

Description

technical field [0001] The invention belongs to a data processing method, in particular to a data processing method on a multistage reciprocating compressor fault detection and diagnosis chip. The fault detection and diagnosis chip can replace the traditional method of host plus fault diagnosis software, which can not only reduce costs and improve efficiency, but also greatly improve the real-time performance of multi-stage reciprocating compressor fault diagnosis, and facilitate its distributed online diagnosis function realization. Background technique [0002] Multi-stage reciprocating compressors have important uses in industrial production, national defense and military industry, and daily life. They are widely used in heavy oil catalytic cracking units, large chemical fertilizer plants, and large coal chemical plants in the petroleum and petrochemical industry. Blast furnace blast in the iron and steel metallurgy industry. Devices, large-scale sewage treatment devices...

AI Technical Summary

Problems solved by technology

Due to the complex structure of multi-stage reciprocating compressors, numerous monitoring state parameters, and difficult identification of signals, the monitoring and fault diagnosis of its operating state are usually very difficult.

The multi-stage reciprocating compressor is often the core system, and its working status is directly related to the normal operation of the overall system, and it is also a type of high-energy consumption equipment. Although some failures do not cause the equipment to stop, it will Reduce work quality and efficiency, resulting in a lot of energy waste

[0003] At present, most of the fault detection and diagnosis systems of multi-stage reciprocating compressors adopt the system mode of computer detection, which is expensive, complex in technology and bulky, thus limiting the application places of fault detection and diagnosis technology

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