Mechanical equipment energy consumption anomaly detection method based on mechanism data fusion

Abstract

The invention discloses a mechanical equipment energy consumption anomaly detection method based on mechanism data fusion. The method comprises the following specific steps of: (1) generating an energy consumption data set of to-be-detected mechanical equipment; (2) calculating a test value of voltage in a voltage data set and calculating a test value of current in a current data set by adopting amechanism data fusion method; (3) calculating a test value of power in a power data set by adopting a dynamic time planning algorithm; (4) respectively calculating a voltage state value and a currentstate value of the to-be-detected mechanical equipment; and (5) detecting whether the energy consumption of the mechanical equipment is abnormal. The method has high generalization ability for energyconsumption anomaly detection of general mechanical equipment, lowers the requirements for the types and the number of sensors, and reduces the data acquisition complexity and analysis cost.

Description

technical field [0001] The invention belongs to the technical field of machinery, and further relates to a method for abnormal detection of equipment energy consumption based on fusion of mechanical mechanism data in the technical field of mechanical detection. The invention can be used for detecting the abnormal state of energy consumption in the production process of large mechanical equipment. Background technique [0002] For large-scale manufacturing enterprises, the energy cost caused by equipment energy consumption usually accounts for more than one-third of the production cost of the enterprise. The demand for energy conservation has increasingly become one of the directions for enterprises to transform into refined and resource-friendly manufacturing. Equipment power consumption detection is particularly important. It aims to detect power consumption during equipment operation, and the detection results often reflect the current state of equipment operation. If the...

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Problems solved by technology

[0005] The purpose of the present invention is to address the shortcomings of the above-mentioned prior art, and propose a method for detecting abnormal energy consumption of mechanical equipment, aiming at solving the problem that the abnormal detection of energy consumption of mechanical equipment is only for a specific type of mechanical equipment, and for general mechanical equipment The generalization ability is poor, and a large amount of complex data needs to be collected in real time, which puts forward higher requirements for the selection of sensors and collection capabilities

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