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Algorithm Design of Early Warning Seatbelt Intelligent Adjustment System Based on Neural Network and Big Data Analysis
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2020-11-21 , DOI: 10.1155/2020/7268963
Chunxu Zhou 1
Affiliation  

With the purpose to guarantee the safety of drivers and passengers as well as lower the death rate collision, the early warning seatbelt intelligent adjustment system is designed by using big data analysis technology based on the aspects of hardware equipment, database, and software program. In the hardware system, microcontroller AT89C52 is applied as the control core. By means of the sensor detection and drive control, the early warning safety belt tightening, locking and lifting, and other functions are realized. Meanwhile, various components of the hardware system are coordinated through debugging several modules in the hardware system and using the modified circuit to connect them together. We determine the relational rules of the database and create the corresponding database table, to provide sufficient data support for the realization of software functions. Using the big data analysis method to process the real-time detection data received by the sensor, the software functions such as timely tightening of safety belt, humidity relaxation, and over-rolling prevention can be realized according to different driving conditions of drivers and vehicles, respectively. The conclusion is drawn through the system test experiment: compared with the traditional regulation system, the design system has a higher degree of regulation, and the application of the design results to the actual vehicle can reduce the crash fatality rate of about 22.4%.

中文翻译:

基于神经网络和大数据分析的安全带预警智能调节系统算法设计

为了保证驾驶员和乘客的安全并降低撞车事故的发生率,基于硬件设备,数据库和软件程序等方面,采用大数据分析技术设计了预警安全带智能调节系统。在硬件系统中,微控制器AT89C52被用作控制核心。通过传感器检测和驱动控制,可以实现预警安全带的张紧,锁定和提升等功能。同时,通过调试硬件系统中的多个模块并使用修改后的电路将它们连接在一起,来协调硬件系统的各个组件。我们确定数据库的关系规则并创建相应的数据库表,为实现软件功能提供足够的数据支持。使用大数据分析方法处理传感器接收到的实时检测数据,可以根据驾驶员和车辆的不同驾驶情况实现软件功能,如及时收紧安全带,放松湿度和防止侧翻, 分别。通过系统测试实验得出结论:与传统的调节系统相比,该设计系统具有更高的调节度,将设计结果应用于实际车辆可以降低约22.4%的撞车致死率。可以分别根据驾驶员和车辆的不同驾驶条件来实现湿气松弛和防侧翻。通过系统测试实验得出结论:与传统的调节系统相比,该设计系统具有更高的调节度,将设计结果应用于实际车辆可以降低约22.4%的撞车致死率。可以分别根据驾驶员和车辆的不同驾驶条件来实现湿气松弛和防侧翻。通过系统测试实验得出结论:与传统的调节系统相比,该设计系统具有更高的调节度,将设计结果应用于实际车辆可以降低约22.4%的撞车致死率。
更新日期:2020-11-22
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