SDK-based method, device and system for realizing data acquisition and driving evaluation

A data acquisition and data technology, applied in transmission systems, digital data protection, computer security devices, etc., can solve problems such as taking up a lot of research and development and testing time, data leakage, etc.
CN110765122AActive Publication Date: 2020-02-07深圳鼎然信息科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳鼎然信息科技有限公司
Publication Date
2020-02-07

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Abstract

The invention discloses a SDK-based method, device and system for achieving data collection and driving evaluation. The method comprises the following steps: loading an SDK at a terminal and / or a server; processing the original acquired data input into the SDK to obtain effective data of which the data format can be identified by the terminal and / or the server and noise data is removed; wherein the effective data stored in the SDK comprises driving behavior acquisition data, driving behavior analysis data, data acquired from a sensor of a vehicle and data acquired from a vehicle-mounted terminal; and outputting the effective data to a server or a terminal for processing so as to realize driving evaluation. According to the invention, the safety and completeness of data can be ensured to the greatest extent, and a precise data source can be effectively provided for the data analysis and driving evaluation module, so that the driving evaluation result is more precise.
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Description

technical field

[0001] The present invention relates to the technical field of intelligent driving, in particular to a method, device and system for realizing data collection and driving evaluation based on SDK. Background technique

[0002] With the development of society, the advancement of science and technology, the development of intelligent network technology, especially the application of Internet of Things and Internet of Vehicles technology is becoming more mature, and the data of Internet of Vehicles is becoming more and more abundant and diverse. How to analyze and apply massive big data, such as user driving behavior data, driving vehicle data, driving environment related data and other related data analysis and fusion applications are seriously lacking; Devices that transmit data back to the server, such as TBOX), have different data formats and communication protocols, data accuracy, and collection frequency, which makes data standardization very difficult. Th...

Claims

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