Design of Multi-parameter Sensor System Based on Algorithm Correction

With the advancement of modern marine detection technology, single parameter monitoring sensors have been incapable to adapt to complex and varied environments. In order to accomplish multi-parameter measurement in the water quality testing process, a low-power multi-parameter sensor based on BP network and least squares algorithm is proposed. Aiming at solving problems of poor accuracy, long sampling time and high-power consumption of sensors, a software and hardware optimization design combining algorithm is proposed. The results show that the sensor that the design can effectively realize temperature compensation and improve the parameter accuracy after the algorithm is processed by the algorithm. The hardware structure adopts low-power design and adjustable parameter design, which can reduce the system power consumption while minimizing the sampling time of some parameters. The software adopts FSM design to realize sensor mode selection. After testing, the multi-parameter detection system designed in this paper can meet the requirements of stability, accurate and low levels of power consumption in water quality testing.