Water Environment Monitoring System Based On Internet Of Things Technology

With the rapid development of social economy, human’s demand for water resources have been increasing in recent years. Yet the unreasonable utilization results in the occurrence of the shortage and the pollution of water resources. As the main drinking resource of surface water in Shijiazhuang City Hebei Province, Huangbizhuang reservoir undertakes the supply as the industrial water, ecological water, agricultural water, as well as parts of Beijing water supply tasks. Therefore, the water quality cannot be ignored. The local authorities and the citizens have paid particular attention to the way how to predict and monitor the problems caused by water pollution.Main research work of this thesis is as follows:1) Design of general data collector. Combined with the actual demand of monitoring objects, the collector is capable of collecting monitoring data independently, and real-time data of multiple water quality sensors at the same time, and achieves data acquisition and wireless transmission through the GPRS module.2) Evaluation method for water quality. This paper compares and evaluates the support of vector machine(SVM) algorithm and fuzzy neural network which evaluates two kinds of water quality algorithm. Finally it is concluded that the two kinds of algorithms and the actual reservoir water features consistent with the conclusion, but in comparison, a fuzzy neural network evaluation algorithm for the expression of the actual results is more precise and accurate.3) Water quality prediction algorithm. This paper adopts the water quality prediction algorithm, using BP artificial neural network algorithm. On the premise of not deleting abnormal data, the trend of the algorithm is calculated while the result is in conformity with the actual change trend, meanwhile the error is within the acceptable range.4) The visual display. From a technical perspective, we design the intelligent detection system by B/S structure. The system in the realization of basic geographic information management and hydrological data management, achieve the goals of water quality evaluation and prediction.From the angle of actual use, this software has the characteristics of across-platform, good visual performance, information extraction and convenient query. These features greatly help policy makers in relevant departments understand the water quality and taking targeted management.This thesis sets Huangbizhuang reservoir as the research background, having designed a set of automatic monitoring and data analysis for the integration of intelligent environmental monitoring system. Simple structure and good stability of the system can make it suitable for spreading to a variety of aquatic environment, which makes the subject have a good application prospect.