高精度传感器信息采集中的误差消除算法仿真

Error Elimination Algorithm Simulation of High Precision Sensor Information Acquisition

在高精度的传感器信息采集中,不同传感器传回的数据在属性和格式上都存在较大差异,经过融合后,传感器采集得到的数据属性会发生变化,造成变化不可控和数据融合误差。传统算法多经过了传感器信息融合步骤,一旦多个传感器传回数据融合差异较大,会造成采集得到的最终信息残差增大,结果失真。为了避免上述缺陷,提出了一种多阶函数误差补偿算法的高精度传感信息融合误差消除方法。利用粒子群优化方法,能够对传感器测控数据进行收集和融合处理。利用多阶函数误差补偿方法,能够对传感器中的融合误差进行消除。实验结果表明,利用改进算法能够有效消除传感器数据采集中的误差,从而提高传感器数据采集数据的精度,为不同行业提供了准确的决策依据。

The article put forward a method based on multistage function error compensation algorithm of high precision sensor measurement error elimination method. A particle swarm optimization method was used for sensor measurement data collection and fusion processing. The multiple step function error compensation method was used in the sensor measurement error elimination. The experimental results show that the algorithm can effectively eliminate the error of the sensor measurement and control, so as to improve the accuracy of the sensor measurement data and provide the accurate decision - making basis for different industries.