Case reasoning based mobile crane fault diagnosis system

Abstract

The invention provides a case reasoning based mobile crane fault diagnosis system. A user graphical interface module is arranged on an expression layer of the system, a fault case management module, acase reasoning module and a case reasoning engine configuration module are arranged on an application logic layer, a case database is arranged on a data service layer, the fault diagnosis process isconducted as follows: a user realizes the man-machine interaction mode through the data interchange of the user graphical interface module and the case reasoning module; a data acquisition terminal transmits the operation states of various actuating elements of a mobile crane to the case reasoning module, the case reasoning module is combined with the case reasoning engine configuration module anda case reasoning engine configuration file in the data service layer to reason a case; the corresponding data case in the case database is used to judge the case, and the running status of the mobilecrane is reflected through the user graphical interface. Based on the case reasoning, the convenience and the practicality of diagnosis of the mechanical fault of the mobile crane are realized.

Description

technical field [0001] The invention relates to the field of crane data monitoring and maintenance, in particular to a mobile crane fault diagnosis system based on case reasoning, especially suitable for truck cranes, tire cranes, crawler cranes and special mobile cranes. Background technique [0002] The mobile crane is a hoisting device that operates without rails in the jib type hoisting machinery. It has a driving device driven by its own power unit, and it does not need to be disassembled and installed when transferring the work site. In recent years, with the rapid development of the national economic construction scale, as well as the diversification of investment entities and the rapid development of the equipment leasing market, the number of mobile cranes has increased sharply. [0003] For mobile cranes, there are many and complex equipment failures, and the factors causing failures are intertwined. The traditional diagnosis method is that technicians compare, a...

AI Technical Summary

Problems solved by technology

The traditional diagnosis method is that technicians compare, analyze and judge the fault source according to the system schematic diagram and action sequence table, and replace the fault source to determine the fault and eliminate it. Therefore, it takes a lot of manpower and material resources to confirm the fault, and the diagnosis is very cumbersome and difficult.

At present, the diagnostic technology of mobile cranes is based on equipment monitoring instruments, which describe the current state of equipment operation through data and realize self-monitoring (such as patent CN201020291471.X), but this patent cannot realize the cause of equipment failure diagnosis

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