Multi-factor-fuzzy-decision-method-based intelligent brake block maintenance algorithm
A fuzzy decision-making and multi-factor technology, applied in the field of vehicle transportation, to achieve the effect of reducing spare parts reserves, reducing vehicle failures, and improving maintenance efficiency
Inactive Publication Date: 2016-04-06
WUHAN YANGTZE COMM ZHILIAN TECH
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[0004] The purpose of the present invention is to provide an intelligent maintenance algorithm for brake pads based on a multi-factor fuzzy decision-making method, aiming at the problem of networked monitoring and management of intelligent maintenance of vehicle brake pads in existing large-scale transportation enterprises that have many vehicles and are scattered.
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[0053] The present invention will be further described below in conjunction with the accompanying drawings.
[0054] Due to the large number of vehicles in oil transportation companies and the relatively scattered management, it is obvious that the traditional manual inspection of brake pad wear will consume a lot of manpower and material resources, and may not be able to achieve satisfactory results. Investigate and analyze the wear and tear of the brake pads at the fleet equipment. The number of vehicles in the fleet is >100; The three aspects of maximum availability and maximum reliability of brake pads, we express these three aspects as a set as follows:
[0055] .
[0056] At the same time, consult relevant literature and information, and prefetch several limited factors that are considered to have a greater impact on tire wear according to the actual situation of the team. Here we choose three factors that are considered to have a greater impact on the team. They are...
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The invention relates to a multi-factor-fuzzy-decision-method-based intelligent brake block maintenance algorithm. On the basis of transport vehicle management system data, an HBase database is used for storage; according to historical operation data of vehicles with different types as well as weather, environment, road condition influence factors, an Hadoop-based big data analysis processing platform is used for carrying out regular analyses and processing on influence factor data; on the basis of various preventative maintenance decision schemes, a multi-factor decision algorithm is formed based on an analysis of an established brake block intelligent maintenance early-warning prediction model to obtain an influence factor importance degree; and then a limited number of decision schemes with high ranks are selected and a brake block maintenance time interval is calculated based on fuzzy decision calculation. According to the invention, a vehicle preventative maintenance interval T can be calculated precisely by using a target function model established based on a multi-factor fuzzy decision; and expiration information is sent as alarm information automatically by a vehicle automatic management platform, thereby reducing the personnel management cost. Moreover, the vehicle attendance rate is improved; vehicle fault occurrence is reduced; the good vehicle performance can be guaranteed; the maintenance efficiency is improved; fitting storage can be realized well; and the management costs can be lowered.
Description
technical field [0001] The invention relates to the technical field of vehicle transportation, in particular to an intelligent maintenance algorithm for brake pads based on a multi-factor fuzzy decision-making method. Background technique [0002] The maintenance of the brake system is often ignored by car owners, which is likely to cause brake failure due to sudden failure. As a key component in the vehicle system, the maintenance and replacement of brake pads is the top priority in vehicle safety maintenance. Therefore, only correct and timely maintenance and maintenance of the braking system can ensure the normal operation of the braking system, thereby ensuring driving safety. [0003] At present, the maintenance time of brake pads is generally based on the wear degree of brake pads observed by human eyes, and the mileage of the bicycle is 30,000 to 40,000 kilometers. This method can effectively replace vehicle brake pads and tires for individuals and small-scale enterp...
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Login to View More IPC IPC(8): G06Q10/00G06F17/15
CPCG06Q10/20G06F17/15
Inventor 张霁黄琛陆义平吴小军刘蕾
Owner WUHAN YANGTZE COMM ZHILIAN TECH