Research on Real-time Operational Status Evaluation Technology of Automobile Based on Information Data Fusion Algorithm
<|reference_start|>Research on Real-time Operational Status Evaluation Technology of Automobile Based on Information Data Fusion Algorithm: Automobiles have become the main means of transportation for human beings, and their failures in the process of operation are directly related to the life and property safety of drivers. Therefore, real-time operational status evaluation technology have become urgent problems in the current academic world. The premise of real-time operational status evaluation technology of automobiles is to obtain high-quality information data in real time, but the automobile operating environment is complex and changeable, resulting in the measured information data under the influence of multiple factors, such as equipment performance and signal interference. There is an unpredictable measurement error, which greatly affects the reliability of operational status evaluation systems. In this paper, on the basis of studying the structure and operation characteristics of automobiles, we design a method that can be used for real-time operational status evaluation of automobiles; through the study of fractional-order calculus theory, we establish a mathematical model of information data fusion based on fractional-order differential operators. By providing high-quality information data to automobile real-time operational status evaluation systems, real-time operational status evaluation technology for automobile faults can be realized. The feasibility and effectiveness of the method were verified through an experiment applying the technology in automobile real-time operational status evaluation systems. The research results are of great significance for promoting the development of the automobile industry and ensuring the safety of drivers' lives and property.<|reference_end|>
@article{yanhong2024research,
    title={Research on Real-time Operational Status Evaluation Technology of
  Automobile Based on Information Data Fusion Algorithm},
    author={Zuo Yanhong, Xia Shilong, Zhou Chao, Yang Kun},
    journal={arXiv preprint arXiv:2407.15033},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15033},
    primaryClass={math.NA cs.NA}
}