Research On Water Quality Monitoring System Based On WSN And Cloud Platform

Water resources play an irreplaceable role in human production and life,which is related to the development of national economy and the health and safety of people’s lives.As a large aquaculture country,the scale of aquaculture in China is also expanding year by year.Water is an essential condition for aquatic organisms to survive.The quality of water directly affects the growth of aquatic organisms.However,traditional methods for aquaculture water quality detection are time-consuming,laborious and have poor real-time performance.Under this background,this paper designs a water quality monitoring system based on wireless sensor network and cloud platform.The work done in this paper is as follows:(1)For the impact of water quality parameters on aquaculture,five parameters,temperature,PH,turbidity,conductivity,dissolved oxygen,were selected as monitoring objects,and the detection methods and principles of each parameter were analyzed.At the same time,the system design scheme is determined.The whole system consists of data acquisition subsystem,gateway subsystem and upper computer system.ZigBee and NB-IOT are combined to realize data transmission.After the water quality data collection subsystem completes the detection and packaging of water quality parameters,it is transmitted through the ZigBee device and finally reaches the gateway subsystem.The gateway subsystem encapsulates the received water quality data and uploads it to One Net cloud platform via the EDP protocol by NB-IOT.Store the water quality data uploaded to the cloud platform in the My SQL database,and eventually display the water quality data as a chart to relevant people through the host computer system.(2)In this system,due to the large number of monitoring nodes in the network,monitoring nodes are placed on the water surface by sprinkle.In view of this situation,the traditional GPS or Beidou positioning method will shorten the working time of nodes,increase the cost of network construction,and insufficient posit ioning accuracy of civil GPS.This paper analyzes the node location algorithm DV-Hop for wireless sensor networks to solve the high density node location problem.Based on the error analysis of DV-Hop algorithm,the original algorithm is improved by changing the internal parameter calculation method(thinning hops and weighted average hops)and the introduction of Grey Wolf optimization algorithm.The results of MATLAB simulation show that the optimization effect is obvious and the positioning accuracy is high.(3)System software and hardware design.On the hardware,the system uses STM32VET6 as the main control chip,connects the water quality detection sensor through ADC collection interface and digital IO port,and establishes the communication between CC2530 ZigBee module and BC28NB-IOT module through serial port.The related circuit designs for the key hardware of the system,including the main controller circuit design,communication module circuit design,sensor signal conditioning circuit design,solar power supply circuit design,etc.On the software,according to the system functions,ZigBee networking,signal collection and processing,cloud on NB-IOT,data capture and storage on cloud platform,and upper computer system building are designed.After completing the hardware assembly and program burning,the system functions are tested,such as ZigBee networking and data transmission function,NB-IOT data transmission function,water quality parameters detection accuracy and the overall system measurement.According to the test results,the water quality monitoring system designed in this paper can work stably,and the accuracy of water quality data acquisition is high,meeting the design expectations.Figure [74],Table [13],Reference [70]...