The invention is suitable for the technical field of automobile state extraction, and provides an automobile state extraction method and system based on big data, and the method comprises the steps: collecting tire pressure abnormal parameters in real time, uploading the tire pressure abnormal parameters to a big data platform for matching, and outputting tire pressure abnormal reason information. The tire pressure abnormity reason is automatically judged according to the tire pressure abnormity parameter, the problem that whether the tire pressure abnormity of the tire is caused by air leakage or not cannot be obtained in time is solved, so that a user can be reminded to repair the tire in time, and when the tire pressure abnormity reason information is only the tire air leakage reason or simultaneously comprises a temperature difference change reason and the tire air leakage reason, the user can be reminded to repair the tire. According to the method of sending the automobile maintenance station information to the user side according to the user position information, the user can quickly find the position information of the repaired tire, and the problem that the user cannot timely obtain the tire leakage, so that the automobile runs at a high speed to cause tire burst or detention on the road due to insufficient tire pressure is solved; the method has the characteristic of intelligently and efficiently obtaining the automobile tire pressure abnormity reason.

本发明适用于汽车状态提取技术领域，提供了一种基于大数据的汽车状态提取方法及系统，通过实时采集胎压异常参数，将胎压异常参数上传至大数据平台进行匹配，输出胎压异常原因信息的方法，实现了自动根据胎压异常参数判断胎压异常原因，解决了无法及时获取轮胎是否因为漏气导致的胎压异常，从而能够提醒用户及时去修补轮胎，当胎压异常原因信息仅为轮胎漏气原因或同时包括温差变化原因和轮胎漏气原因时，根据用户位置信息将汽车维修站信息发送给用户端的方法，便于用户快速找到修补轮胎的位置信息，防止出现用户由于无法及时获取轮胎漏气导致汽车高速行驶时导致爆胎或胎压不足滞留道路上的问题，具备智能高效获取汽车轮胎胎压异常原因的特点。