FAILURE PREDICTION SYSTEM FOR WORK MACHINE AND FAILURE PREDICTION METHOD FOR WORK MACHINE

To provide a failure prediction system for a work machine and a failure prediction method for the work machine capable of easily monitoring moisture in a fuel tank and predicting failure caused by mixed moisture.SOLUTION: A failure prediction system 1 for a work machine includes: a weather data stor...

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Main Authors YADA TOMOKI, FUJISHIMA KAZUO, ABE SATOSHI, MINAMITANI RINTARO, MORI TATSUYA, IWASAKI FUMITO, INOSE SATOSHI, KONNO HIROYUKI
Format Patent
LanguageEnglish
Japanese
Published 15.04.2021
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Summary:To provide a failure prediction system for a work machine and a failure prediction method for the work machine capable of easily monitoring moisture in a fuel tank and predicting failure caused by mixed moisture.SOLUTION: A failure prediction system 1 for a work machine includes: a weather data storage section 16 storing weather data at a current position of the work machine 2; a machine configuration data storage section 15 storing a material quality of a fuel tank, etc.; a tank internal moisture amount calculation section 25 acquiring a residual amount of fuel in the fuel tank and calculating a moisture amount in the fuel tank on the basis of the acquired residual amount of fuel, the weather data stored by the weather data storage section 16 and the material quality of the fuel tank stored by the machine configuration data storage section 15; and a maintenance necessity determination section 28 determining the necessity of maintenance of the fuel tank on the basis of the moisture amount calculated by the tank internal moisture amount calculation section 25.SELECTED DRAWING: Figure 2 【課題】燃料タンクの水分を簡単に監視することができるとともに、混入した水分に起因した故障を予測できる作業機械の故障予測システム及び作業機械の故障予測方法を提供する。【解決手段】作業機械の故障予測システム1は、作業機械2の現在位置での気象データを記憶する気象データ記憶部16と、燃料タンクの材質などを記憶する機械構成データ記憶部15と、燃料タンク内の燃料の残量を取得し、取得した燃料の残量と気象データ記憶部16で記憶した気象データと機械構成データ記憶部15で記憶した燃料タンクの材質に基づいて、燃料タンク内の水分量を算出するタンク内水分量演算部25と、タンク内水分量演算部25で算出した水分量に基づいて燃料タンクのメンテナンスの要否を判定するメンテナンス要否判定部28と、を備える。【選択図】図2
Bibliography:Application Number: JP20190186225