Intelligent engineering machinery fault diagnosing system based on networked movable operation machines

Abstract

In the present invention, after fault information analysis, fault cause judgement, giving treating opinion and predicting stop time, the fault cause and treating opinino are transmitted to single-machine controller to direct the operator's job while the influence of the fault on the machine group engineering is judged based on the weight value of the fault part in the machine, the weight value ofthe fault machine in the machine group and fault grade and the fault information is transmitted to the group dispatching system. Each single machine is equipped with intelligent monitoring and diagnosis subsystem connected to movable communication module; the machine group is equipped with high-level monitoring and diagnosis system connected to movable communication module.

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 fault diagnosis system for cluster construction machinery. The equipment status monitoring and fault diagnosis expert system is a comprehensive interdisciplinary subject based on modern science and technology such as detection technology, information transmission, signal processing, recognition theory, artificial intelligence, and forecast decision-making. [0002] The cluster intelligent construction machinery takes high-grade highway construction projects as the object, adopts radio communication technology, information technology, computer technology, sensor technology, intelligent control technology, etc. to study the combination of asphalt mixing equipment, paver, vibratory roller, loader and automatic The intelligent monitoring control and construction cont...

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

[0014] (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

[0022] Due to the complexity of the engineering machinery structure (integration of machinery, electricity, hydraulics, and instrumentation), the uncertainty of construction loads (transient load changes, shock vibration, and variable speed movement of the whole machine), the harsh working environment conditions (vibration, Noise, humidity, temperature, dust), resulting in the diversity, suddenness, and complexity of construction machinery failures. At the same time, there are problems such as coordinated scheduling between construction machinery single machines in the cluster intelligent diagnosis system, which makes construction machinery fault diagnosis The system puts forward higher requirements for the expression of domain experts' practical experience knowledge and diagnosis strategies, and a single knowledge expression method is difficult to meet the requirements

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