Grinder information network and energy monitoring system

Abstract

The invention discloses a grinder information network and energy monitoring system which comprises a PLC (programmable logic controller), a motion controller, a frequency converter, a servo driver, a man-machine interface and an energy meter. Information of the frequency driver is transmitted to the PLC and stored under a corresponding address through a PROFIBUS-DP (process field bus-decentralized periphery). Status information of the servo driver is transmitted to the motion controller through the PROFIBUS-DP and is transmitted to the PLC and stored under the corresponding address by the motion controller through the PROFIBUS-DP. Energy data measured by the energy meter are transmitted to the PLC through the PROFIBUS-DP. The PLC and the motion controller transmit the data to the man-machine interface respectively through a MPI (multipoint interface) and an Ethernet. The grinder information network and energy monitoring system is capable of monitoring motion status information of the equipment and energy information of a grinder in real time and storing the data during operation, helps troubleshoot failure causes and is capable of managing energy for the equipment.

Description

technical field [0001] The present invention relates to the field of electromechanical equipment, specifically a grinding machine information network and power monitoring system, more specifically, the energy information such as power, current, voltage, frequency, and power consumption of the grinding machine during operation and the equipment in the control system network A system for monitoring and data storage of status information. Background technique [0002] The traditional grinding machine processing monitoring screen only pays attention to the monitoring of the processing status of shafts and workpieces, while ignoring the status of the equipment itself that completes these processing processes and energy management for the operation of the equipment. There are two problems: 1. When the processed workpiece is abnormal, it is often difficult to judge the root cause of the abnormality only through the processing status data; 2. It is impossible to estimate the energy ...

AI Technical Summary

Problems solved by technology

There are two problems: 1. When the processed workpiece is abnormal, it is often difficult to judge the root cause of the abnormality only through the processing status data; 2. It is impossible to estimate the energy cost of processing each workpiece and the energy-saving potential of the overall equipment Analyze and calculate

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