On-line machine tool equipment utilization state monitoring method and device based on power information

Abstract

The invention relates to an on-line machine tool equipment utilization state monitoring method based on power information. On-line automatic identification of machine tool running states of machine tool starting state, spindle motor running state and the like can be achieved only by mounting a power sensor at a main power supply of a machine tool, acquiring input power of the machine tool main power supply of the machine tool and subjecting the input power to signal filtering, statistics is made on running time of the machine tool at different states, and further machine tool equipment utilization state information of equipment starting rate, equipment running rate, equipment utilization rate and the like of the machine tool is acquired in real time. On the basis of the method, an integrated on-line machine tool running process equipment utilization state monitoring device with a set of software and hardware is developed. The device comprises the power sensor, an information terminal and a support, achieves functions of statistical analysis and the like of the equipment starting rate, equipment running rate and equipment utilization rate of the machine tool, and provides a real-time equipment field information support to enterprises for improving equipment utilization rate and optimizing production process.

Description

technical field [0001] The invention relates to the fields of machinery manufacturing and communication technology, in particular to a method and device for monitoring the utilization state of machine tool equipment based on power information. Background technique [0002] Improving the processing efficiency and equipment utilization rate of machine tool equipment has always been an important issue related to the full utilization of manufacturing resources of enterprises. However, due to the complex environment of the production site and the uneven degree of numerical control of equipment, it has been difficult to obtain accurate real-time operating status of equipment and utilization information. The equipment utilization rate information of machine tools directly reflects the utilization efficiency and processing capacity of manufacturing resources, which is of great significance for production managers to plan processing tasks and progress. The traditional manual statist...

AI Technical Summary

Problems solved by technology

[0003] With the development of CNC machine tool technology, network communication technology, and data acquisition technology, CNC machine tools can obtain processing process information by inserting macro instructions into the processing code, and it is relatively easy to obtain equipment operation information. There are very limited ways to obtain processing status and production information in real time

However, ordinary machine tools account for a large proportion of my country's manufacturing industry. Statistics in April 2010 show that the numerical control rate of my country's machine tool industry is only 27.5%, and that of developed countries is about 70%. Although the proportion of ordinary machine tools is currently declining trend, but ordinary machine tools still occupy a dominant position in our country, and in the long run it is impossible to be completely replaced by CNC machine tools

[0004] The study found that for ordinary machine tools, the lack of a simple and effective method to obtain the information of equipment and products in production in the enterprise has led to a time lag in processing information statistics, low accuracy, lack of real-time production and processing information and feedback control from the upper and lower layers methods, low overall equipment utilization and other serious problems

In the actual use time of the equipment, there are still a large amount of waiting time for processing and the phenomenon that individual processes are too time-consuming due to differences in the operating level of workers.

At present, manual statistics such as stopwatch timing and production reports are often used to obtain the above important information. In this way, not only the accuracy and real-time performance cannot be guaranteed, but also the implementation cost is high, which is not conducive to promotion in actual production.

As production management has higher and higher requirements for equipment and personnel utilization, the traditional condition monitoring, which mainly focuses on equipment maintenance and fault diagnosis, can no longer meet the requirements.

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