基于超声波技术的矿浆粒度智能化监测系统

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中图分类号：TN402-34；TD8 文献标识码：A 文章编号：1004-373X（2026）07-0154-09

引用格式：，，，等.基于超声波技术的矿浆粒度智能化监测系统[J].现代电子技术，2026，49（7）：154-162.

Slurry particle size intelligent monitoring system based on ultrasonic technology

GUPeijie，SUShujing，DICong，WANGXinhao （StateKe

Abstract：Particlesizeof sluryisacritical control parameter inmineral processing.Existingparticlesizemeasurement methods，suchaslaserdifractionimageanalysis，andtaditionalsdimentation-sievingtchniques，oftensuferfromliitations includingtheinabitytoperformeal-timeonlinemonitoring，sensitivitytosurryconcentrationandopticalproperties，and significantsampling errors.Inviewoftheabove，thisstudyproposesanultrasonic-basedslurrparticlesizedetectiontechology. Byanalyzingtheatenuationandscateringcharacteristicsofultrasonicwavepropagatingthroughthesurry，signalfeatures correlatedwithparticlesizedistributionareextracted，enablingnon-contact，real-time，andonlinemonitoringof slurry granularity.Onthisbasis，astar-shapedwirelesssensor network wasdevelopedbyintegrating domesticLoRAmodulesTP1107 andTP2210 gateways.A combined spreading schemeusing SIMS spread spectrum andFSK modulation was adopted to achieve low-power，multi-node，andlong-distancedatatransmision.ThegatewayemploystheAir78OEPSCat.1cellarcommunication moduleandMQTTprotocol touploadparticlesizedata tothecloudplatforminreal time，supportingremote monitoringand intellgntanalysis.Testresultsdemonstratethatteproposedsystemofershighaccuracyandstrongreal-timeperformancein detectingparticlesizeofsuspendedsolids，withstablewirelesstransmissionviabothLoRAand4Gmodules，providingreliable technicalsupportforsurryparticlesizemonitoring.Theproposedsystemfeaturesflexibledeployment，lowpowerconsumption， andstrongenvironmentaladaptabilitymakingitwellsuitedforintellgentmonitoringandindustrialaplicationsincomplex slurry conditions.

Keywords：slurry particlesize;ultrasound; real-time monitoring;LoRA; FPGA; MQTT; cloud platform; inteligentanalysis

0 引言

矿浆粒度作为矿物加工过程中的关键参数，直接影响到磨矿效率、选矿指标以及后续工艺流程的稳定性与经济效益。（剩余7244字）