Automatic statistical method and system for machine tool working status based on spindle power monitoring

Abstract

The invention provides an automatic statistic method of machine tool working condition based on main shaft power monitoring and a system thereof. The method comprises identifying a machine tool working condition in real time by monitoring the power of a machine tool main shaft; counting a work-piece machining time of the machine tool, a tool changing time, a main shaft idling time, a machine tool unused time after finished machining, a total uptime of the machine tool; counting the quantity of work-piece machined by the machine tool and the quantity of tools being used. The system comprises a main shaft power monitoring system, a power signal processing system, a power signal database, and a machining management system; the machining management system acquires a present machining task; the main shaft power monitoring system acquires a real-time main shaft power signal; the power signal processing system applies filtering, A / D converting and signal analyzing to the main shaft power signal, so as to obtain a processed machine tool power signal and an average value thereof; and then the average power value is compared with an average power value in the power database, so as to obtain the final result. The automatic statistic method of machine tool working condition based on main shaft power monitoring and the system thereof help managers arrange machining tasks better, and increase the production efficiency.

Description

technical field [0001] The invention relates to the field of machine tool processing monitoring in mechanical processing, in particular to an automatic statistical method and system for machine tool working states based on spindle power monitoring. Background technique [0002] The working status of the machine tool has an important impact on the production plan of the enterprise, making full use of the existing processing equipment, and improving the efficiency of the enterprise. Through online accurate monitoring of the working status of machine tools, enterprises can understand the processing load of machine tools, the production quantity of products, and the consumption of cutting tools, so as to calculate production costs, understand the work intensity of workers, and understand the factory's production capacity and load in real time. Using spindle power monitoring to monitor the working status of the machine tool is a method for rationally arranging production capacity...

AI Technical Summary

Problems solved by technology

The technology involved in this article mainly has the following defects and deficiencies: (1) The state of the machine tool that can be identified is only the power on and off of the machine tool and the start of the spindle, and it cannot be recognized that the machine tool is in the state of processing workpieces or changing tools or no-load. state, so it is impossible to know the time when the machine tool actually processes the workpiece; (2) the number of workpieces processed by the machine tool and the consumption of the tool cannot be counted; (3) the threshold value is preset and cannot adapt to the machine tool processing task or processing parameters or caused by tool wear The threshold value change brought about by the change of the power signal

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