Distributed remote monitoring system and monitoring method for machining workshop

Abstract

The invention discloses a distributed remote monitoring system and monitoring method for a machining workshop. The monitoring system is connected to and communicates with a device to be monitored andcomprises an operating state real-time monitoring module, a production data real-time acquisition module, a data analysis module, an equipment early warning control module and a remote access and control module. According to the system and the method, the overall monitoring of equipment in different areas of the workshop can be achieved, the running state of the workshop equipment is monitored, analarm is timely emitted when a key problem occurs, and relevant personnel is notified to solve the problem. The operating parameters of the equipment are collected in real time to carry out dynamic data analysis, an equipment early warning mechanism is achieved, and a fault is eliminated at the beginning of the problem. The consumption of monitoring equipment is low, resources are mobilized in time to maintain and improve the equipment, and finally, the model management and global control of the equipment are realized.

Description

technical field [0001] The invention belongs to the field of system monitoring, and in particular relates to a distributed remote monitoring system and a monitoring method for machining workshops. Background technique [0002] With the expansion of the production scale of manufacturing enterprises, the continuous improvement of the modernization level of workshop equipment and the development of scientific management technology, the traditional equipment management mode has exposed its shortcomings and disadvantages, such as the timeliness and authenticity of paper-based office cannot be guaranteed; The periodicity and effectiveness of maintenance cannot be scientifically planned and blindness exists in the decentralized monitoring of equipment. For automobile manufacturing enterprises, how to complete the production and manufacturing of products quickly, efficiently, with low consumption and with high quality is the key to the success of enterprises in the competition, from...

AI Technical Summary

Problems solved by technology

[0004] (1) Low degree of visualization: HMI is configured next to a single device to display the status of the device through configuration, and it is impossible to visually see the operation of the entire workshop and find out the current factors affecting production;

[0005] (2) Manual operation: The basic information, fault records, and maintenance records of the equipment are recorded manually in paper, which is poor in accuracy and timeliness, and increases the repetitive workload of personnel;

[0006] (3) Low monitoring coverage: There are many types and brands of production equipment in the workshop, such as CNC lathes, turning centers, welding machines, cleaning machines, robots, etc. Different equipment hardware conditions and communication methods are different, resulting in the current monitoring platform and equipment interface difficulty;

[0007] (4) Low degree of integrated networking: high degree of equipment dispersion, unable to centralize management, and no reasonable and efficient equipment networking solution to solve the problem of discrete control;

[0008] (5) Insufficient equipment analysis ability: It is impossible to trace the historical state of workshop equipment and the production utilization rate of each equipment, and there is no reliable data support to formulate solutions to improve and increase equipment utilization;

[0009] (6) Low usability: Manually recorded equipment failure records and maintenance records are cumbersome to organize and are not conducive to data analysis, and the usability is low

Therefore, the key OEE index, failure record and failure rate analysis of the equipment cannot be effectively fed back

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