多传感器数据融合技术在车辆动态称重中的应用

Application of Multi-sensor Data Fusion Technology in Vehicle Weighing-in-motion

针对车辆动态称重系统的结构和特点,采用一种基于神经网络的多传感器数据融合技术处理方法,并将其应用到动态称重系统中。通过对融合前后的数据进行比较分析,可有效地提高车辆动态称重系统抗干扰能力,以保证参数检测的可靠性和准确性。

According to the characteristics and structure of the vehicle dynamic weighing system, a new method of multi-sensor data fusion based on neural network is introduced in this paper. The method can improve the anti-jamming ability of vehicle dynamic weighing system and assure the reliability and accuracy of parameters.