Running state monitoring and failure diagnosis method for tobacco logistics system

Abstract

The invention discloses a running state monitoring and failure diagnosis method for a tobacco logistics system. The method comprises the following steps: (1) acquiring the whole running state information of the logistics system in real time on line through a data acquisition system; (2) remotely monitoring the state of common logistics system equipment in real time, and performing failure diagnosis; (3) firstly, determining various combination modes of the failure reasons of each key logistics equipment, and secondly, inputting a diagnosis rule into an SQL (Structured Query Language) database of a failure diagnosis server, wherein the diagnosis rule serves as the source of a failure experience knowledge base; (4) storing failure result information which is obtained by automatic diagnosis through the failure diagnosis server and serves as alarm information into a failure alarm record base, triggering a wireless alarm module, and informing an on-duty equipment maintainer of failure information immediately in a short message mode. According to the method, the failure burst rate of the tobacco logistics system is effectively reduced, the failure maintenance efficiency is improved, and the equipment maintenance cost is reduced.

Description

technical field [0001] The invention relates to the field of operating state monitoring and fault diagnosis of a logistics system, in particular to a method for operating state monitoring and fault diagnosis of a tobacco logistics system. Background technique [0002] Tobacco logistics system is a complex and comprehensive production logistics system with certain particularities. Due to the relatively high profits and taxes of cigarette factories, especially large-scale cigarette factories with an annual output of more than 500,000 boxes of cigarettes, the starting point and target positioning of technological transformation are very high, coupled with sufficient funds, their logistics system leads the industry. The equipment has been first applied in the tobacco industry, such as shuttle vehicles, three-dimensional high-bay warehouses, industrial robots, and automatic guided vehicles (AGV), etc. have been widely used in the tobacco factory logistics system. The modern logi...

AI Technical Summary

Problems solved by technology

These systems have complete functions and stable performance, and have played a specific role in actual production; however, the rough interface, poor intuitiveness, and low degree of visualization greatly reduce the practicability of the system

With the continuous maturity of fault diagnosis technology and its successful application in my country's aviation, chemical industry, metallurgy, electric power and other industries, equipment fault diagnosis systems for the tobacco industry are also sprouting like mushrooms after rain. Related systems such as web-based remote fault diagnosis of tobacco machinery Diagnosis service system, tobacco equipment condition monitoring and predictive maintenance system developed by Kunming Shipbuilding Design and Research Institute in Yunnan, storage and sorting equipment fault monitoring system developed by Qingdao Municipal Bureau, rail roadway stacker failure researched by Lanzhou Jiaotong University Electromechanical Technology Research Institute Diagnostic systems, etc. These systems have simple fault monitoring, diagnosis or prediction functions, which to a certain extent improve the efficiency of equipment fault maintenance and reduce the equipment failure rate; however, in-depth analysis and accurate diagnosis of sudden faults and complex faults cannot be performed. Failure to provide maintenance personnel with effective troubleshooting assistance

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