变加速下建筑渣土车冒尖信号超载检测

建筑渣土车承载重物的行进速度、突变速度不可控。车辆在传感线圈上方停止或改变速度时,会形成较大的物理测量误差。传统方法将车辆底盘形状的三维信息转变为感应到的一维信号,模糊了实际的物理意义,一旦车速变化造成测量物理量模糊,会形成较大的测量误差。提出了一种多种群竞争免疫算法的建筑渣土车冒尖超载检测方法。对采样数据进行归一化处理,去除干扰信号的影响。利用多种群竞争免疫方法进行建筑渣土车冒尖超载信号的最优化计算,在多种群竞争机制中,引入两种适应性系数保证计算结果靠近真实物理信号。实验结果表明,算法能够有效提高建筑渣土车冒尖超载检测的准确性,保证了建筑渣土车的运输安全。

Based on the sensing signal of the construction waste MaoJian car simulation test method

Research building waste car overload accurate detection problem. Building waste bearing the weight of car travel speed, mutation rate uncontrollable. Vehicles in sensing coil top stop or change speed, will form a larger physical measurement error. Traditional methods vehicle chassis shape of three dimensional information into induction to one dimensional signal, blurred the actual physical significance, once the speed change caused by measuring physical quantity fuzzy, will form a larger error of measurement. Therefore, this paper proposes a more competitive immune algorithm based on the population of the construction waste car MaoJian overload detection method. The sampled data normalization treatment, remove the influence of jamming signal. The multiple population competition immune method integral construction car MaoJian overload detection. The experimental results show that this algorithm can effectively improve the construction waste car MaoJian overload detection accuracy, and to ensure the construction waste car transportation safety.