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Predictive maintenance decision method based on lifting equipment work state and system thereof

A technology of working state and decision-making method, applied in the direction of instrument, technical management, data processing application, etc., can solve the problem of inability to carry out comprehensive decision-making consideration, improve the level of maintenance decision-making and equipment operation efficiency, reduce national economic losses, reduce The effect of security risks

Inactive Publication Date: 2017-03-15
TSINGHUA UNIV
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  • Abstract
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Problems solved by technology

Most of the existing research on maintenance decision-making only considers one of the standards and strategies, but cannot carry out comprehensive decision-making considerations

Method used

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  • Predictive maintenance decision method based on lifting equipment work state and system thereof
  • Predictive maintenance decision method based on lifting equipment work state and system thereof
  • Predictive maintenance decision method based on lifting equipment work state and system thereof

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Embodiment Construction

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0047] The following describes the predictive maintenance decision-making method and system based on the working state of the lifting equipment according to the embodiments of the present invention with reference to the accompanying drawings. First, the predictive maintenance based on the working state of the lifting equipment according to the embodiments of the present invention will be described with reference to the accompanying drawings decision making method.

[0048] figure 1 It is a flow chart of the predictive maintenanc...

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Abstract

The invention discloses a predictive maintenance decision method based on a lifting equipment work state and a system thereof. The method comprises the following steps of acquiring historical operation data of lifting equipment; according to fault tree expert knowledge and the historical operation data, establishing a Bayesian network prediction model so as to predict a latent fault and a potential safety hazard; acquiring a current operation state of the lifting equipment, and according to the current operation state and the Bayesian network prediction model, realizing crane integral body reliability prediction and rapid positioning of a latent fault reason; taking a crane integral body fault probability and a latent fault reason probability as weights, establishing a prediction maintenance decision model of latent operation efficiency and acquiring lifting equipment latent operation efficiency, latent maintenance cost and latent production losses; and according to a prediction result, acquiring a decision suggestion. By using the method of the invention, monitoring management of lifting equipment during a production process can be effectively reinforced, predicted maintenance is provided, a maintenance decision level and equipment operation efficiency are increased, and a potential safety hazard and national economic losses are reduced.

Description

technical field [0001] The invention relates to the field of structural health monitoring of lifting equipment, the field of equipment failure prediction, the field of equipment operation efficiency evaluation, and the field of equipment maintenance decision-making, and particularly relates to a predictive maintenance decision-making method and system based on the working state of lifting equipment. Background technique [0002] The fault detection and diagnosis of lifting equipment has experienced the development process from downtime maintenance, regular maintenance to predictive maintenance. Early downtime maintenance or unplanned maintenance cannot really avoid safety accidents and economic losses. Regular maintenance or planned maintenance will cause unnecessary waste of resources due to excessive maintenance. Predictive maintenance, also known as condition-based maintenance or condition-based maintenance, is the most important development direction at present. [000...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/06
CPCG06Q10/06375G06Q10/20Y02P90/80
Inventor 黄双喜朱煜奇
Owner TSINGHUA UNIV
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