Safety evaluation method, device, and terminal equipment of self-balancing car

Abstract

Embodiments of the present disclosure disclose a safety evaluation method, device, and terminal equipment of a self-balancing vehicle. A specific implementation manner of the method includes: acquiring a data set of safe use of the balance car. Based on the data set of the safe use of the self-balancing car, an information matrix of the safe use of the self-balancing car is generated. Input the safety usage information matrix of the self-balancing car into the pre-trained safety evaluation model to obtain the evaluation result information. Push the evaluation result information to the target device after processing, so as to control the target device to perform the target operation. This method generates a balance car safety use information matrix based on the balance car safety use data set, and then uses a pre-trained safety assessment model to process the balance car safety use information matrix, which can improve the accuracy of the balance car safety evaluation . After the evaluation result information is processed, it is pushed to the target device to control the target device to perform the target operation, which can ensure the timeliness and effectiveness of the evaluation.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a data analysis method, device, and terminal equipment. Background technique [0002] The balance car is a new type of transportation and entertainment tool that is easy to operate and responsive. With the advancement of the intelligent process, it has gradually entered people's lives. However, due to its lack of stability and protection measures, there are still major safety hazards in the use of self-balancing vehicles. Therefore, it is very important to evaluate the safety of self-balancing vehicles. [0003] However, when using existing methods to evaluate the safety of self-balancing vehicles, there are often the following technical problems: [0004] First, because there are many safety factors related to the balance car, and the evaluation results are subject to various conditions, the accuracy of the evaluation directly using the linear a...

AI Technical Summary

Problems solved by technology

[0004] First, due to the many safety factors related to the balance car, and the evaluation results are subject to various conditions, the accuracy of the evaluation directly using the linear analysis and prediction method is poor

At the same time, the evaluation method by adding a large number of constraints affects the evaluation speed, and the final evaluation result cannot be delivered to the user in time

[0005] Second, it is difficult to accurately generate evaluation result information based on safety factors related to the self-balancing car. Therefore, the generated evaluation result information is difficult for users to take corresponding countermeasures to avoid safety problems of self-balancing cars

[0006] Third, in order to avoid malicious use of the evaluation result information related to the safe use of the balance car, the above evaluation result information has high privacy and confidentiality requirements, and the direct transmission of the evaluation result information cannot meet the data security requirements

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