Regional Water Environment Pollution Monitoring Method Based on Multi-Sensor Data Fusion
The monitoring method of water pollution level plays an important role in protecting water resources and maintaining ecologi-cal balance.Traditional water environment monitoring methods are limited by time,accuracy,and coverage.Therefore,research proposes a regional water environment pollution monitoring method based on multi-sensor data fusion,and verifies its effectiveness and superiority.The experimental results showed that the average temperature accuracy was 98.84%,the average pH accuracy reached96.76%,the highest error rate of dissolved oxygen concentration was 4.83%,the total nitrogen concentration data collection was 0,the average accuracy rate of total phosphorus concentration was 97.69%,and the highest turbidity error rate was 6.57%.The average accuracy of the L-AWDF algorithm reached94.23%,and the average energy consumption of the L-AWDF algorithm was 278.43 J/h.It concluded that the proposed method can accurately assess the degree of water pollution is of great significance for water environment protection.
万方数据
维普
