Machine tool energy-saving control method and device based on current signals

Abstract

The invention discloses a machine tool energy-saving control method and device based on a current signal, and the method comprises the steps: firstly collecting and converting one-phase current at a three-phase incoming line circuit of a machine tool to obtain a current level value, and calculating an average current level value and a current level value change proportion through the periodic collection of the current level value; learning the collected samples based on a Kmeans clustering algorithm or a BP neural network algorithm, and constructing a machine tool state judgment model for identifying seven different states of the machine tool; and judging the state of the machine tool by using the constructed machine tool state judgment model, and if the machine tool is identified to be ina standby state after the running state or in a standby state after the machine tool runs to a standby descending state, closing the machine tool. According to the invention, low-cost and integrateddata acquisition, state analysis and energy-saving optimization can be carried out on processing equipment without a communication interface and other equipment which cannot acquire internal information of the equipment through a standard interface due to subjective and objective condition limitations.

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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