A method for abnormal detection of energy consumption of aluminum profile extrusion machine
An abnormality detection, aluminum profile technology, applied in metal extrusion, neural learning method, metal extrusion control equipment, etc.
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[0039] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.
[0040] A method for detecting abnormal energy consumption of an aluminum profile extrusion machine in this embodiment, such as figure 1 shown, including the following steps:
[0041] Step A: Data collection, which is used to collect energy consumption data of the aluminum profile extrusion machine, and store the energy consumption data of the aluminum profile extrusion machine in the energy database;
[0042] Data collection includes using smart meters, equipment concentrators and acquisition front-end processors for data collection. The smart meters collect the power consumption in the production process of the extruder in real time according to the collection instructions sent by the upper application. The data collected by each meter is passed through Equipment concentrators such as serial serve...
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