基于多传感器融合的电梯门状态检测方法

Elevator door state detection method based on multi-sensor fusion

研究基于多传感器融合的电梯门状态检测方法,用以解决电梯门检测准确性和效率低问题。传感器获得电梯门状态信号,采用小波分析提取信号特征,利用模糊数学测度公式计算电梯门状态划分在各状态模式的测度值,将该测度值作为D-S证据理论的信度函数分配,利用信度函数分构建信度函数分配,使用信度函数规则方法完成目标模式分类决策,实现电梯门状态检测。经实验验证,该方法能够准确检测出电梯门的加速度状态和位移状态,并且具有较高的检测效率。

The elevator door state detection method based on multi-sensor fusion is studied to solve the problem of low accuracy and efficiency of elevator door detection. The sensor obtains the elevator door state signal, extracts the signal characteristics by wavelet analysis, and calculates the measurement value of elevator door state in each state mode by using fuzzy mathematics measurement formula. The measurement value is allocated as the reliability function of D-S evidence theory, the reliability function allocation is constructed by using the reliability function partition, and the target mode classification decision is completed by using the reliability function rule method, which leads to the detection of the elevator door state. The experiment results show that the method can accurately detect the acceleration and displacement of the elevator door, and has high detection efficiency.