Municipal facility fault prediction method and device

A fault prediction and facility technology, applied in the direction of prediction, instrumentation, probability network, etc., can solve problems such as high cost, failure to match demand in time, low efficiency of municipal facility maintenance, etc.

Inactive Publication Date: 2019-12-10
HISENSE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The embodiment of the present invention provides a method and device for predicting failures of municipal facilities, which are used to solve the problems of lo

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  • Municipal facility fault prediction method and device
  • Municipal facility fault prediction method and device
  • Municipal facility fault prediction method and device

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Embodiment Construction

[0056] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] figure 1 An exemplary system architecture applicable to this embodiment of the present invention is shown, and the system architecture may be a server 100 including a processor 110 , a communication interface 120 and a memory 130 .

[0058] Wherein, the communication interface 120 is used for communication between the sensors collecting data of various municipal facilities and network equipment, and sending and receiving informat...

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Abstract

The invention discloses a municipal facility fault prediction method and device. The method comprises the following steps: acquiring data of a plurality of state classification features of municipal facilities collected in real time, pretreatment, determining whether the plurality of state classification features satisfy a condition independence hypothesis and/or a weight equal hypothesis, if not,optimizing a preset naive Bayesian classifier through the Pearson correlation coefficient and/or entropy method according to the plurality of state classification features; and inputting the preprocessed data into an optimized naive Bayesian classifier to obtain the fault prediction probability of the municipal facilities, and determining the fault prediction of the municipal facilities accordingto the sequence of the fault prediction probability of the municipal facilities in all the fault prediction probabilities of the municipal facilities. The problems that at present, municipal facilitymaintenance is low in efficiency and high in cost, and requirements cannot be matched in time due to the fact that more citizens actively report repair and conduct manual inspection can be solved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of fault prediction, and in particular to a method and device for fault prediction of municipal facilities. Background technique [0002] In recent years, with the rapid development of urbanization in my country, the number of users of urban municipal facilities has increased, and corresponding equipment failures and maintenance requirements have occurred frequently, which restricts and hinders the further development of cities. In many cases, simply increasing investment in facility maintenance or adding manpower can easily lead to an imbalance between demand and supply, that is, resources allocated during the peak flow of people are likely to be idle at other times and cause waste. Therefore, how to fundamentally improve the maintenance efficiency of existing municipal facilities is the key to solving the problem. Contents of the invention [0003] Embodiments of the present invent...

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Application Information

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IPC IPC(8): G06K9/62G06N7/00G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G06N7/01G06F18/24155G06F18/214
Inventor 高源王栋梁吕宗宝王中伟刘邦刘墩建孙永良王玮于涛陈玉静
Owner HISENSE
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