基于云原生技術(shù)的大田土壤摘情采集系統(tǒng)節(jié)點(diǎn)案例研究

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中圖分類(lèi)號(hào)：S126 文獻(xiàn)標(biāo)志碼：A

Abstract：Toimprovetheeficiencyofintellgentirrgationsystemsinthefield，achievedprecisemonitringofsoilmosureand ensurethenormal growthanddevelopmentofcrops，thisstudyutilizedlongrangewirelesscommunication（LORA），soilmoisture sensors，gateway，ndothertechnologiestoconstructacloudnativesoilmoisturecolectionsstem.Anaropriatenumberofode wereselectedascasestotestthesystem’sloadcapacity、powerconsumption、andcommunication distanceofthesystem，F(xiàn)ield experimentswereconductedtoverifythespatiotemporaldataofthesoilmoisturecollctionsystem．Resultsshowedthatthesoil moisturecollctionsystembasedonLORALANcouldachievestablecommunicationfor3km，withastaticpowerconsumptionofabout （20 2 2 0 μ A forthe hardware device.Whennotchargingandthecollection time intervalwas 3O minutes，theendurancecapacityof sensor duringeachsoillayerwasnotlessthan3Odays，thedataforfieldtestingshowedthatthesoilmoisturecolectionsystemwasacurate andreliableintermsofspatialandtemporalsoilmoisturedata，andcouldachieveconiuousobservationunderlong-termseries.This studyprovidesreferenceforthedevelopmentandoptimizationofafieldsoilmoisturecolectionsystembasedoncloudnative technology，whileoffering a technical foundation for inteligent irrigation and fertilization decision-making. Key words：LORA;soil moisture;soil salinity ;monitoring device;low power consumption

2022年《中國(guó)水資源公報(bào)》顯示我國(guó)水資源時(shí)空分布不均、用水效率和結(jié)構(gòu)仍需提高和優(yōu)化，其中農(nóng)業(yè)用水占比 。（剩余12877字）