A method for collecting full amount of remote vehicle bus data

Abstract

The present invention relates to a method for collecting full amount of remote automobile bus data, which solves the problem of high collection cost at present. The steps are: the vehicle is powered on, and the data collection terminal starts with the vehicle; the data collection terminal collects full amount of data of the whole vehicle through the automobile bus; it is judged whether the whole vehicle data is collected; after the data collection terminal collects the whole vehicle data, it continuously splices to form the same data identifier followed by N data contents; it is judged whether the specified reporting frequency is reached; when the specified reporting frequency is reached, the data will group all different data identifier data to form a whole package of data, wherein the specified reporting frequency is a configurable value of the cloud platform, and is transmitted to the data collection terminal in the form of remote sending; the data collection terminal compresses the whole package of data by algorithm; the data collection terminal reports the compressed data to the cloud platform, and then continues to wait for the next compressed data to be reported until the vehicle is powered off. The data collected by the present invention can be collected remotely in real time, and the cost is low.

Description

Technical Field

[0001] The invention relates to a data acquisition method, in particular to a method for acquiring full amount of remote automobile bus data. Background Art

[0002] Vehicle bus data acquisition refers to obtaining data from various electronic control units and sensors in a vehicle. These data can be used to monitor, analyze and control various systems and functions of the vehicle. In modern cars, many different types of sensors and controllers are used to monitor and control various aspects such as the engine, transmission, chassis, safety system, etc. These sensors and controllers exchange data through the bus system, and vehicle bus data acquisition is to obtain information from these buses. Vehicle data acquisition and testing is one of the core links in the automotive manufacturing industry. Under the traditional background technology, when collecting vehicle bus data, service station personnel need to carry data collection hardware equipment and collect data while driving the vehicle.

[0003] In this case, after the vehicle is sold, the user's driving conditions are complex and diverse. When a malfunction occurs, the data cannot be traced back. Data collection requires carrying equipment connected to the vehicle bus for real-time data collection. In addition, the cost of service station personnel following the vehicle for data collection is high, resulting in the inability to analyze and solve the malfunction. Summary of the invention

[0004] The present invention solves the problem that the current data collection requires carrying equipment to connect to the automobile bus for real-time data collection, and the service station personnel follow the vehicle for data collection at a high cost by providing a remote automobile bus full data collection method.

[0005] The present invention is achieved by the following technical solutions:

[0006] A method for collecting full amount of remote vehicle bus data includes a data collection terminal and a vehicle bus, and the specific steps are as follows:

[0007] S1. The vehicle is powered on, and the data collection terminal starts with the vehicle;

[0008] S2, the data acquisition terminal collects all vehicle data through the vehicle bus;

[0009] S3, determine whether the whole vehicle data is collected, if any whole vehicle data is collected, proceed to the next step S4, if there is no data, continue to collect in a loop;

[0010] S4. After the data collection terminal collects the vehicle data, it performs classified data splicing according to the data identifier, that is, the data with the same data identifier is continuously spliced ​​to form the same data identifier followed by N data contents;

[0011] S5, determine whether the specified reporting frequency is reached, if it is reached, proceed to the next step S6 data packaging, if it is not reached, proceed to S2 to continue collecting vehicle data;

[0012] S6. When the specified reporting frequency is reached, the data will group all the different data identification data into a package to form a whole package of data, where the specified reporting frequency is a configurable value of the cloud platform, which is transmitted to the data collection terminal in the form of remote transmission, and enter the next step S7 to compress the data;

[0013] S7, the data collection terminal compresses the whole package data by algorithm. The data packaged by this method has highly similar data content, and the compression rate can reach up to one quarter;

[0014] S8. The data collection terminal reports the compressed data to the cloud platform, and then continues to wait for the next compressed data to be reported until the vehicle is powered off.

[0015] In step S6, the frequency is specified to be 10 Hz. When it reaches 10 seconds, the contents of the different data identification data stored in S4 are traversed, and the data are spliced ​​one by one to form a whole package of data, and then the next step S7 is entered to compress the data.

[0016] Compared with the traditional service station personnel carrying hardware equipment to collect automobile bus data, the data collected by the present invention can be collected remotely in real time at a low cost, providing data support for remote analysis of vehicle performance and operating status, and avoiding the inability to analyze and solve faults that occur during driving due to the inability to trace back and high costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] like Figure 1 As shown, the present invention is a remote vehicle bus data full-volume acquisition solution, wherein the main components include a data acquisition terminal and a vehicle bus.

[0019] S1. The vehicle is powered on, and the data collection terminal starts with the vehicle;

[0020] S2, the data acquisition terminal collects all vehicle data through the vehicle bus;

[0021] S3, determine whether the whole vehicle data is collected, if any whole vehicle data is collected, proceed to the next step S4, if there is no data, continue to collect in a loop;

[0022] S4. After the data collection terminal collects the vehicle data, it performs classified data splicing according to the data identifier, that is, the data with the same data identifier is continuously spliced ​​to form the same data identifier followed by N data contents.

[0023] S5, determine whether the specified reporting frequency is reached, if it is reached, proceed to the next step S6 data packaging, if it is not reached, proceed to S2 to continue collecting vehicle data;

[0024] S6. When the specified reporting frequency is reached, the data will group all the different data identification data into a whole package, where the specified reporting frequency is a configurable value of the cloud platform and is transmitted to the data acquisition terminal in the form of remote transmission; taking the specified frequency of 10HZ as an example, when it reaches 10 seconds, the contents of the different data identification data stored in S4 will be traversed, and the data will be spliced ​​one by one to form a whole package of data, and then enter the next step S7 to compress the data;

[0025] S7, the data collection terminal compresses the whole package data by algorithm. The data packaged by this method has highly similar data content, and the compression rate can reach up to one quarter;

[0026] S8. The data collection terminal reports the compressed data to the cloud platform, and then continues to wait for the next compressed data to be reported until the vehicle is powered off.

Claims

1. A method for collecting full amount of remote vehicle bus data, characterized by: Including data acquisition terminal and vehicle bus, the specific steps are as follows: S1. The vehicle is powered on, and the data collection terminal starts with the vehicle; S2, the data acquisition terminal collects all vehicle data through the vehicle bus; S3, determine whether the whole vehicle data is collected, if any whole vehicle data is collected, proceed to the next step S4, if there is no data, continue to collect in a loop; S4. After the data collection terminal collects the vehicle data, it performs classified data splicing according to the data identifier, that is, the data with the same data identifier is continuously spliced ​​to form the same data identifier followed by N data contents; S5, determine whether the specified reporting frequency is reached, if it is reached, proceed to the next step S6 data packaging, if it is not reached, proceed to S2 to continue collecting vehicle data; S6. When the specified reporting frequency is reached, the data will group all the different data identification data into a package to form a whole package of data, where the specified reporting frequency is a configurable value of the cloud platform, which is transmitted to the data collection terminal in the form of remote transmission, and enter the next step S7 to compress the data; S7, the data collection terminal compresses the whole package data by algorithm. The data packaged by this method has highly similar data content, and the compression rate can reach up to one quarter; S8. The data collection terminal reports the compressed data to the cloud platform, and then continues to wait for the next compressed data to be reported until the vehicle is powered off.

2. The method for collecting full amount of remote vehicle bus data according to claim 1, characterized in that: step S6 In the example, the frequency is specified to be 10 Hz. When the frequency reaches 10 seconds, the contents of the different data identification data stored in S4 are traversed, and the data are concatenated one by one to form a whole package of data, and the next step S7 is entered to compress the data.

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