System for monitoring and diagnosing statas and faults of devices in mobile working machine cluster based on network

Abstract

Based on GSM / GPRS network, the invented system is a platform for monitoring and diagnosing mobile working machine cluster in distributing and layering mode. The said system is configured between unified management and operation at single unit. Each stand-alone unit possessing monitoring and diagnosing sub system is connected to mobile system. Computer monitoring and diagnosing center connected to mobile system is at upper layer above the cluster. Data exchange is carried out through GSM / GPRS wireless communication network so as to work under distributing and layering mode. Advantages of the invention are: easy of configuration, high reliability. Running state of mobile cluster is reported in realtime. Operator in site can find out fault of single device in good time. The invention solves difficulties to utilize fault diagnosis expert system on mobile operation devices.

Description

technical field [0001] The invention belongs to the technical fields of mechanical manufacturing and automation technology, equipment status monitoring and fault diagnosis, and in particular relates to a network-based mobile operating machine group equipment status monitoring and fault diagnosis system. Equipment status monitoring and fault diagnosis technology is a comprehensive cross-disciplinary study based on modern science and technology such as detection technology, information transmission, signal processing, recognition theory, artificial intelligence, expert system, and forecasting and decision-making. Subject. technical background [0002] Modern large-scale infrastructure construction is a production process in which multi-variety and multi-quantity engineering construction machinery and construction machines work together. On the basis of pursuing construction efficiency and construction cost, construction enterprises put forward higher and higher requirements f...

AI Technical Summary

Problems solved by technology

During monitoring and diagnosis, it is necessary to stop and install monitoring facilities, which affects the construction process; and online equipment status monitoring during the construction process cannot be realized; the cost of monitoring and maintenance vehicles is high, and it is difficult to promote

[0011] (5) The above research results are only for stand-alone machines, lack of long-distance online monitoring and first-hand information on the status of the fleet, and it is difficult to scientifically manage and real-time dispatch the fleet

The main difficulty (bottleneck) of its research and development lies in: the complexity of construction machinery structure, the complexity of failure causes, the mobility of operations, the harshness of the working environment and the economic requirements for monitoring and diagnosis systems, making the establishment of real-time monitoring systems based on large databases The work of intelligent monitoring and diagnosis system is difficult to realize

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