Vehicle fault code real-time acquisition and historical data analysis and diagnosis method and device
A technology for real-time collection and vehicle faults, applied in the field of fault code collection, it can solve the problems of inability to store fault codes in real time, the owner is paralyzed, and the alarm is ignored, so as to avoid the reduction of alarm reliability.
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Embodiment 1
[0011] Embodiment 1: In order to obtain a kind of foresight or understanding of vehicle faults in a way that occurs at any time and processed at any time, this embodiment introduces a method of monitoring vehicle conditions in real time, especially vehicle fault codes (vehicle fault codes refer to automobile failures). Afterwards, the fault codes reflected by the ECU analysis of the car computer, generally the frequent fault codes are caused by the faulty sensor work) The method of real-time diagnosis of the car by big data analysis of changes, such as figure 1 and 2 Shown: a method for real-time collection of vehicle fault codes and historical data analysis and diagnosis, characterized in that each time the vehicle is ignited, the equipment collects fault codes, and the fault codes collected by the equipment in real time on the vehicle are uploaded to the cloud by the mobile communication network platform, the cloud platform receives the fault code data, stores the fault code...
Embodiment 2
[0012] Embodiment 2: the described method for classifying faults is:
[0013] S1. Distinguish the fault category against the fault knowledge base: the fault code category needs to refer to several knowledge bases, 1. Accompanying fault code table: the table for storing associated faults. The faults stored in this table are all non-important associated fault codes. Such failures are all accompanied by other failures, or caused by the addition of other components to the vehicle, and are not decisive failures. 2. Negligible high-frequency minor faults. This type of fault occurs frequently, but the degree of damage to the vehicle is extremely slight and can be ignored. The high-frequency can be defined by setting a high-frequency threshold, and those exceeding the threshold can be high-frequency. In the same way, minor faults can also be set by setting a minor threshold, and those below the minor threshold are minor faults. Major fault table, such faults will affect the driving ...
Embodiment 3
[0018] Embodiment 3: A device for real-time collection of vehicle fault codes and historical data analysis and diagnosis, characterized in that it includes equipment, a classification module, and a reminder module, and the equipment collects fault codes every time the vehicle is ignited, and the faults collected by the equipment in real time on the vehicle The code is uploaded to the cloud platform by the mobile communication network, the cloud platform receives the fault code data, stores the fault code data in the database, and the cloud platform combines the uploaded fault data with the stored fault history data for big data analysis. Classify the faults obtained by analyzing and diagnosing fault code data, and make fault reminders based on the classification. The device is used to execute and realize the method in Embodiment 1 and / or 2.
[0019] Due to the method of fault acquisition and judgment in the prior art, it is as if a patient goes to a hospital to see a doctor an...
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