白蚁监测无线通信技术研究与展望OA

Termite hazards in water conservancy projects are highly concealed and destructive,easily leading to dike leakage,piping,and even dam breaches.Aiming at core scientific issues in complex field scenarios of water conservancy projects,namely the contradiction between long-distance realiable communication and ultra-low energy consumption constraints,the lack of a theoretical model for adaptive decision-making in multi-mode heterogeneous networks,and the difficulty in coordinating lightweight state cryptography encryption and sub-meter positioning on low energy consumption hardware,this paper established three theoretical models,including communication link budget,terminal energy consumption,and multimode Markov decision-making,and proposed an integrated scheme with long distance,low energy consumption,multi-mode fusion,and high-security positioning features.The scheme focused on four key technologies:broadband WiFi long-distance transmission with joint radio frequency-baseband optimization,lightweight LSTM-based intelligent power scheduling,lightweight state cryptographic security transmission,and Q-learning-based adaptive switching for multi-mode communication.A three-layer architecture consisting of sensing terminals,a multi-mode communication network,and a management and application platform was established.Three benchmark systems,NB-IoT,LoRa-only,and 802.11ah WiFi,were designed,and laboratory tests along with a 12-month field trial were conducted.Results show that the line-of-sight transmission distance of broadband WiFi reaches 800 m(50％higher than 802.11 ah);the average power consumption is reduced to 0.85 mA(over 70％lower than traditional schemes);the positioning accuracy is 2 m;the data transmission success rate is 99.2％,and the communication switching success rate is 99.5％.The scheme can operate stably under extreme weather.The research findings can provide theoretical and technical support for scenarios such as intelligent termite monitoring,levee safety monitoring,and reservoir seepage pressure monitoring,contributing to the improvement of the comprehensive perception system for smart water conservancy.