Unmanned vehicle health degree evaluation method and system based on Internet of Vehicles big data

The invention relates to an unmanned vehicle health degree evaluation method and system based on Internet of Vehicles big data, and the method comprises the steps: C1, obtaining the data information of each controller of a vehicle based on a vehicle-mounted controller OBU; c2, extracting characteris...

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Bibliographische Detailangaben
Hauptverfasser:	ZHOU WENBO, LV PEIZUN, ZHANG CHI, YU HONGWEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GENERATING RANDOM NUMBERS MEASURING PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	The invention relates to an unmanned vehicle health degree evaluation method and system based on Internet of Vehicles big data, and the method comprises the steps: C1, obtaining the data information of each controller of a vehicle based on a vehicle-mounted controller OBU; c2, extracting characteristic variables based on the data information of each controller of the vehicle to obtain characteristic variable data information of each controller of the vehicle; c3, inputting the characteristic variable data information of each controller of the vehicle into a Boruta algorithm to obtain a vehicle alarm data index and a vehicle performance data index; and C4, outputting a vehicle alarm data dimension weight and a vehicle performance data dimension weight by adopting a CBC algorithm based on the vehicle alarm data index and the vehicle performance data index. According to the method, the inaccuracy of empirically judging whether the vehicle needs to be maintained or not and the difference of evaluation of differen