Networking technology-based remote intelligent analysis service system used for engineering machinery

Abstract

The invention relates to a networking technology-based remote intelligent analysis service system used for engineering machinery, comprising an engineering machinery data acquisition part and a remote diagnosis part, wherein the two parts communicate by virtue of a public wireless network. The working process of the system comprises the following steps of: (1) inputting fault information; (2) gathering the fault information; (3) extracting original characteristic data information related to the engineering machinery stored in a comprehensive database; and (4) comparing the fault information in the step (2) with the original characteristic data information in the step (3); if the fault information in the step (2) is a known fault, directly outputting a fault cause; and if the fault information in the step (2) is an unknown fault, sending the fault information to an intelligent expert According to the invention, the problems that the engineering machinery is difficult to diagnose remotely and a maintenance scheduling service is difficult can be solved.

Description

technical field [0001] The invention belongs to the application of the Internet of Things technology in the technical field of construction machinery, in particular to a remote intelligent analysis service system based on construction machinery. Background technique [0002] Construction machinery is a relatively complex electromechanical-hydraulic integration system. At present, construction machinery in the industry is constantly developing in the direction of high speed, high power, high reliability, and high intelligence. Remote intelligent analysis services for construction machinery are becoming more and more important in production operations. . Due to the fact that the basic information and alarm information of engineering and machinery cannot be collected in real time in the existing technology, the remote monitoring and analysis of the working conditions and the operating status cannot be carried out, and the faults of construction machinery cannot be remotely diag...

AI Technical Summary

Problems solved by technology

Due to the fact that the basic information and alarm information of engineering and machinery cannot be collected in real time in the existing technology, the remote monitoring and analysis of the working conditions and the operating status cannot be carried out, and the faults of construction machinery cannot be remotely diagnosed and given expert-level maintenance guidance. Mechanical remote fault diagnosis and maintenance scheduling services are very difficult

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