Mine Multi-sensor Maximum Likelihood Estimation Data Fusion Algorithm

Abstract

After an overall consideration of the differences in the measurement accuracy of various sensors, an improved algorithm based on consensus data fusion has been proposed, the measurement accuracy of which is reflected through weight coefficient. It is indicated in simulation that this approach can effectively reduce data variation extent when there is disturbance in sensors, improving fusion accuracy and anti-interference capability. This algorithm will be applied in the data fusion of temperature sensor, gas concentration sensor in intelligent monitoring system of coal mine.