Mining equipment operation data transmission, intelligent early warning and remote consultation analysis system and method

Abstract

The invention relates to a mine equipment operation data transmission, intelligent early warning and remote consultation analysis system and method. Central machine room equipment is connected with acentral network system server, an operator station module, an engineer station module, a network printer module,a logistics station module and a three-party consultation module through a comprehensiveautomatic control module, wherein the central network system server is connected with the central network equipment, comprehensive automation software is arranged in the central network equipment, the central network equipment is connected with the troubleshooting equipment through the comprehensive automation software, and troubleshooting equipment is installed at the position of a point to be detected of each underground subsystem and each ground subsystem; full-life-cycle management of the equipment is realized; remote consultation of equipment performance, establishment of a mining main equipment database, establishment of a database integrated control platform, real-time sharing of data on the internet, realization of online resource sharing of experts, manufacturers and use units, cancelling of maintenance classes, improvement of production efficiency, cancelling of night shift, realization of zero-inventory production of mines and reduction of production and operation costs.

Description

technical field [0001] The invention relates to the field of coal mines, in particular to a mine equipment operation data transmission, intelligent early warning, and remote consultation analysis system and method. Background technique [0002] The reliability of the operation of underground electromechanical equipment in coal mines directly affects the production efficiency of the enterprise. When the equipment fails, the traditional method is to rely on the on-site operator to check the equipment parameters, and judge the source, location and cause of the failure by analyzing the abnormal parameters. This method is labor intensive and has low accuracy. With the construction of high-yield and high-efficiency mines, the production scale of coal mines continues to expand, and the degree of mechanization and automation of coal mines has increased unprecedentedly. Electromechanical equipment is playing an increasingly important role in the production process of coal mines. The ...

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Problems solved by technology

However, from the point of view of usage, we believe that there are mainly the following problems and defects: First, some coal mining enterprises do not pay enough attention to the equipment offline point inspection system, and the management is not in place. Falsification seriously affects the use effect of the system; secondly, some online point inspection systems have the problem of poor sensor reliability. The monitoring data of equipment parameters is the most important basis for equipment performance analysis, and the bottom-level data errors lead to deviations in equipment analysis results. Again, some units have also implemented expert decision-making systems or fault diagnosis systems. Although the interface is more attractive, they do not pay enough attention to the reliability of the sensors, and the investment is huge, but the results are not satisfactory.

It does not really function as an expert decision-making system or a fault diagnosis system; in addition, although some coal mine units have many systems, the data transmission systems are all independent, and many coal mine automation systems are self-contained systems that are only monitoring and monitoring Simple integration on the platform, there are still "information islands" between the various systems, it is difficult to achieve system linkage analysis

[0004] Generally speaking, the research and application of equipment fault pre-diagnosis in domestic coal mining enterprises is still in its infancy. The online or system or fault diagnosis system of each coal mining enterprise only conducts statistical analysis on a single or several parameters. Research and analyze the comprehensive parameters that affect the equipment, so it affects the use effect of the system

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