| With its unique geographical location,Caofeidian coastal area greatly promotes local economic development,but the wetland monitoring system is imperfect and the monitoring effect of ecological environmental change is not good.In view of this situation,the research topic of online monitoring system for water quality parameters of coastal wetlands based on LoRa(Long Range)technology was put forward.Firstly,the function requirement of the coastal wetland monitoring system was analyzed according to the problem that the system is not perfect.Based on the analysis and design of the overall architecture of the monitoring system and the related technical theories,a wireless sensor network technology scheme based on LoRa and GPRS(General Packet Radio Service)technology was proposed.Secondly,based on wireless sensor network,the mathematical model of wetland monitoring system was established.To study the coverage optimization of the monitoring area with the improved PSO-BFA(Particle Swarm Optimization-Bacteria Foraging Algorithm)algorithm.Compared with the BFA(Bacterial Foraging Algorithm)algorithm and the WOA(Whale Optimization Algorithm)algorithm in the case of obstacles or not,it was found that the improved PSO-BFA algorithm converges faster,and the coverage rate is increased by 5% and 7%,4.8% and 6.8% respectively,which effectively solves the problems of coverage holes and redundancy in the traditional algorithm.Finally,the hardware selection and software system of wetland monitoring system were studied: temperature,p H and dissolved oxygen were used as monitoring data to collect;The gateway carried out wireless data transmission;The multi-power supply module of solar panel and lithium battery was designed,and the problem of power shortage in monitoring system was solved.Combined with hardware research and development of upper computer monitoring center,online monitoring of water quality parameters was realized.Figure 52;Table 12;Reference 48... |
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