A method and device for energy-saving control of machine tools based on current signals

Abstract

The invention discloses a machine tool energy-saving control method and device based on current signals. The invention first collects and converts one-phase current at the three-phase incoming line circuit of the machine tool to obtain a current level value, and calculates the average value by periodically collecting the current level value. The current level value and the change ratio of the current level value; then learn the collected samples based on the K-means clustering algorithm or the BP neural network algorithm, and build a machine tool state judgment model for identifying 7 different states of the machine tool; then use the constructed The machine tool state judgment model judges the state of the machine tool. If it is identified as the standby state after the running state, or the standby state after running to the standby state, the machine tool is turned off. The present invention can perform low-cost, integrated data collection, state analysis and energy-saving optimization for processing equipment without a communication interface and other equipment that cannot obtain internal information of the equipment through a standard interface due to subjective and objective conditions.

Description

technical field [0001] The invention relates to the improvement of production technology for manufacturing equipment, in particular to an energy-saving control method and device for machine tools based on current signals. Background technique [0002] The research on energy-saving technology of machine tools can be divided into three parts: research on data acquisition technology, research on machine tool state analysis methods, and research on energy-saving means. From the research of data acquisition technology, there are currently very complete acquisition schemes for machine tools with standard communication interfaces. In contrast, there are many imperfect acquisition schemes for machine tools without standard communication interfaces, mainly for electrical parameters and motion parameters. , temperature parameters and other analog parameters are collected, and the technical difficulties that need to be solved in the collection process include: (1) the construction of t...

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Problems solved by technology

[0005] For multi-sensor acquisition schemes, such schemes require: (1) the data acquisition device has high data processing performance; Single combination of sensor types and singleness of sensor selection; (3) Multiple high-precision sensors, and the cost of each is high; (4) It is difficult to install multiple sensors on the original equipment in actual use, and it is difficult to transform Large size and high cost; (5) The data processing algorithm mostly uses the expert model method, and labor costs are required in the early stage

The scheme of collecting a single AC current value, and the scheme of data mining for a single data is too complicated: (1) a huge workload of mathematical modeling in the early stage; (2) analysis of the original AC signal in the time domain and frequency domain, the data The acquisition device needs to have very high data processing performance; (3) its mathematical model is sensitive to high-frequency signals. In the process of collecting data, all links need very strong anti-interference performance, which requires coordination among all links of the system Very high; the current collection method commonly used in factories is to manually collect and calibrate the characteristic physical quantities of the entire production process of each equipment. This scheme has low technical threshold and low transformation cost, but has defects: (1) Each The characteristic physical quantities of each piece of equipment are different, and the labor cost is very high; (2) It is impossible to form a closed loop of information for the production equipment, and it is impossible to realize the energy-saving function

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