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Design Of Low Power Consumption Wireless System For Information Collection Of Facility Agriculture

Posted on:2021-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2428330602494797Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
Environmental information monitoring is of considerable significance to agricultural facilities.Currently,climate information collection in agricultural facilities used widely wireless sensor network.How to reduce energy consumption and improve the energy utilization efficiency of the system has become a research focus.To solve this problem,a low power consumption wireless system for information collection is designed.This research is an essential part of the research project of a new type of equipment for agricultural machinery installations.This paper studied the hardware and software structure,networking mode,energy-saving algorithm and other parts of the system,and a wireless environment information acquisition system developed based on Wi-Fi.The system is composed of data acquisition node and data aggregation node,each node is composed of STM32F103VET6,wireless module,environmental sensor,alarming circuit and energy-saving algorithm.The data acquisition node collects various ecological parameters,and sends the parameters to the data aggregation node through the wireless network.Then the data aggregation node sends it to the remote server through the wireless network respectively.Three dynamic dormancy algorithms in this system,which is parameter increment calculation algorithm,parametric incremental velocity calculation algorithm and parametric incremental acceleration calculation algorithm designed.First,determine the parameter acquisition period and preset value of parameter variation,parameter increment calculation algorithm collects data once every cycle,and determines the parameter increment in this period after the difference between the latest parameter value collected and the parameter value at the initial time.If the parameter increment is not less than the preset value,the network is turned on to send the data at that time,otherwise the network is not turned on.The parametric incremental velocity calculation algorithm and the parametric incremental acceleration calculation algorithm respectively calculate the parametric incremental velocity and the parametric incremental acceleration according to the parameter change in the unit period.According to the results,the time required for the parameter change to reach the preset value is determined.After that,the sensor and wireless transmission channel are opened to collect and send data.The system tested after construction.The results showed that the system was stable,and the parameters were collected accurately.To reduce the energy consumption of the system to the greatest extent,different acquisition nodes divided into low-power nodes,middle-power nodes and high-power nodes according to their energy consumption.The energy-saving experiment and data accuracy verification experiment designed.The energy saving experiment shows that the running time of the high-power node with three algorithms is 1.8 times,2.27 times and 2.1 times of that without the algorithm.Parametric incremental velocity calculation algorithm is the most energy saving,parametric incremental acceleration calculation algorithm is the next,and parameter increment calculation algorithm is the least energy saving.The data accuracy verification test shows that the deviation rates of the data collected by nodes after adding three algorithms are 6%,13.5%and 6.5%.This can meet the requirements of different facility agriculture.The system has been applied to the fruit greenhouse in Raoyang county,Hebei province and the sheep house in Wuyi county,Hebei province.According to the administrator's request,the greenhouse chooses the parameter increment acceleration calculation algorithm,the sheep house chooses the parameter increment calculation algorithm.The system is stable and reliable in operation,low in energy consumption,and can monitor the agricultural environmental parameter information of the facility remotely.
Keywords/Search Tags:Facilities climate, Information acquisition, Wireless sensor network, Dynamic dormancy, Low power consumption
PDF Full Text Request
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