The invention discloses a vehicle fatigue early warning method and device based on a knowledge graph, equipment and a storage medium, and the method comprises the steps: extracting triple knowledge of vehicle track data, and carrying out the fusion of the triple knowledge according to a preset association rule, and obtaining a constructed vehicle feature knowledge graph; fatigue state parameters are calculated according to the vehicle feature knowledge graph and a preset recognition model; and when the fatigue state parameter is greater than a preset early warning threshold value, automatically performing fatigue early warning. According to the vehicle fatigue early warning method provided by the embodiment of the invention, a collection device does not need to be installed to collect and analyze the data of a driver, and only the massive driving data and the road data need to be subjected to big data analysis, the vehicle feature knowledge graph is constructed, and the fatigue state parameters are calculated according to the vehicle feature knowledge graph; the fatigue risk of the driver is recognized, the driver is reminded and warned in advance, and terrible accidents are avoided.
本申请公开了一种基于知识图谱的车辆疲劳预警方法、装置、设备及存储介质,所述方法包括:提取车辆轨迹数据的三元组知识,根据预设的关联规则对所述三元组知识进行融合,得到构建好的车辆特征知识图谱;根据所述车辆特征知识图谱以及预设的识别模型计算疲劳状态参数;当所述疲劳状态参数大于预设的预警阈值时,自动进行疲劳预警。根据本申请实施例提供的一种车辆疲劳预警方法,无需安装采集设备采集和分析驾驶员的数据,只需对海量行车数据和道路数据做大数据分析,构建车辆特征知识图谱,根据车辆特征知识图谱计算疲劳状态参数,识别驾驶员存在疲劳的风险,提前提醒和预警驾驶员,避免恶性事故的发生。
Vehicle fatigue early warning method and device based on knowledge graph, equipment and medium
基于知识图谱的车辆疲劳预警方法、装置、设备及介质
2022-03-04
Patent
Elektronische Ressource
Chinesisch
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