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

A mobile operation and construction machinery technology, applied in the field of machinery manufacturing and automation technology, equipment status monitoring and fault diagnosis, can solve the problems of high cost of monitoring and maintenance vehicles, uncertainty of construction load, and influence on the construction process

Inactive Publication Date: 2003-05-14
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0116] Examples of engine fault diagnosis knowledge expression:

[0117] GLOBE Engine: engine category; END / *frame description start* / Unit: engine class in engine class.fra; / *unit: framework name in knowledge base name* / Memberslot: name from engine class; / * general structure of name slot * / Inheritance: OVERRIDE; / *Slot inheritance attribute side* / Valueclass: string; / *Slot type side* / Values: "engine"; / *Slot value side* / end slot; Memberslot: code name from engine class; / * general structure of code name slot * / Inheritance: OVERRIDE; Valueclass: string; Values: "LY"; end slot; Memberslot: coding from engine class; / * general structure of code slot * / --> Inheritance: OVERRIDE; Valueclass: string; Values: "AD9000A"; end slot; / * Fault phenomenon, fault cause and solution * / MemberSlot: fault phenomenon from engine class; Inheritance: OVERRIDE; Valueclass: string; Values: unknown; end slot; MemberSlot: fault phenomenon classification from engine categor...

Embodiment 2

[0119] Examples of electrical system fault diagnosis knowledge expression: GLOBE Electrical system: electrical system category; END / * frame description start * / Unit: electrical system class in electrical system class.fra; / *unit: framework name in knowledge base name* / Memberslot: name from electrical system class; / * the general structure of the name slot * / Inheritance: OVERRIDE; / *Slot inheritance attribute side* / Valueclass: string; / *Slot type side* / Values: "Electrical System"; / *Slot value side* / end slot; Memberslot: code name from electrical system class; / * general structure of code name slot * / Inheritance: OVERRIDE; Valueclass: string; Values: "LY"; end slot; Memberslot: coding from electrical system class; / * general structure of code slot * / Inheritance: OVERRIDE; Valueclass: string; Values: "AD9000A"; end slot; / * Fault phenomenon, fault cause and solution * / MemberSlot: fault phenomenon from electrical system category; Inheritance: OVERRIDE; Valueclass: string; ...

Embodiment 3

[0121] Examples of hydraulic system fault diagnosis knowledge expression: GLOBE Hydraulic system: hydraulic system; END / * frame description start * / Unit: hydraulic system class in hydraulic system class.fra; / *unit: framework name in knowledge base name* / Memberslot: name from hydraulic system class; / * the general structure of the name slot * / Inheritance: OVERRIDE; / *Slot inheritance attribute side* / Valueclass: string; / *Slot type side* / Values: "hydraulic system class"; / *Slot value side* / end slot; Memberslot: code from hydraulic system; / * general structure of code slot * / Inheritance: OVERRIDE; ValueGlass: string; Values: "LY"; end slot; Memberslot: coding from hydraulic system class; / * general structure of code slot * / Inheritance: OVERRIDE; Valueclass: string; Values: "AD9000A"; end slot; / * Fault phenomenon, fault cause and solution * / MemberSlot: Fault phenomenon from hydraulic system category; Inheritance: OVERRIDE; Valueclass: string; Values: unknown; end slot; Me...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418H04B7/26H04L29/08
CPCY02P90/02
Inventor 牛占文王树新郑尚龙吴国祥李学忠王福山陈永亮傅宗元
Owner TIANJIN UNIV
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