环境科学与管理2025,Vol.50Issue(1) :110-113.

基于多传感器数据融合的区域水环境污染程度监测方法研究

Regional Water Environment Pollution Monitoring Method Based on Multi-Sensor Data Fusion

张念辰 邹士倩 柴泉 吕清
环境科学与管理2025,Vol.50Issue(1) :110-113.

基于多传感器数据融合的区域水环境污染程度监测方法研究

Regional Water Environment Pollution Monitoring Method Based on Multi-Sensor Data Fusion

张念辰 1邹士倩 1柴泉 2吕清1
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作者信息

  • 1. 江苏省苏州环境监测中心,江苏 苏州 215004
  • 2. 湖南中联重科智能技术有限公司,江苏 苏州 215123
  • 折叠

摘要

水环境污染程度监测方法对保护水资源,维护生态平衡具有重要作用.传统的水环境监测方法存在时间性、精度和覆盖范围的限制,因此研究提出基于多传感器数据融合的区域水环境污染程度监测方法,并验证有效性与优越性.实验结果表明,温度平均精确率为 98.84%,pH值平均精确率达到 96.76%,溶解氧浓度最高误差率为4.83%,总氮浓度数据采集为 0,总磷浓度平均精确率为 97.69%,浊度误差率最高为 6.57%.L-AWDF算法平均精确率达到了94.23%,L-AWDF算法平均能耗为278.43 J/h.证明研究提出的方法能够准确评估水质污染程度,对于水环境保护具有重要意义.

Abstract

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.

关键词

传感器/数据融合/水环境/污染程度/监测方法

Key words

sensor/data fusion/water environment/pollution level/monitoring method

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出版年

2025
环境科学与管理
黑龙江省环境保护科学研究院

环境科学与管理

CSTPCDCHSSCD
影响因子:0.681
ISSN:1673-1212
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