Abstract
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%.
Highlights
Traffic safety has always been a hot issue in people’s daily life, so the safety insurance intelligent devices such as ABS and airbags are mounted in automobiles during recent years. anks to the greatly improved active and passive safety of automobiles, the number of deaths and death rates of car accidents in many developed countries have decreased despite the increasing number of cars. is shows that advanced safety technology can obtain obvious application effects
In order to ensure that the early warning seatbelt can maximize its protection role in car accident, a corresponding intelligent adjustment system shall be established, whose function is to control the working state and force limitation of the early warning seatbelt and form a force buffer for the driver
Big data analysis technology is mainly applied to the database and software functions as a method for processing and analyzing the initial collected data [3], so that the efficiency of system regulation function is enhanced. e design of intelligent adjustment system enables the traditional early warning seatbelt to play its role in the event of an accident and can fully protect the driver and passengers during the entire driving process, thereby improving the safety factor of automobile [4]
Summary
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. By means of the sensor detection and drive control, the early warning safety belt tightening, locking and lifting, and other functions are realized. 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.
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