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INTELLIGENTSYSTEMSFORPERSONALEQUIPMENTMONITORING

ConferencePaper·January2016

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AndriiKurhanskyi

KievNationalUniversityofTechnologiesandDesign

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УДК677.07:681.5.08M.M.KURGANSKA,A.V.KURHANSKYI,I.V.ERMOLENKO,

KyivNationalUniversityofTechnologiesandDesign

INTELLIGENTSYSTEMSFORPERSONALEQUIPMENTMONITORING

A study offactors affecting on zonation,qualitative and quantitativecompositionofwirelesssensornetworkelementsformicroclimatemonitoringunderclothingspaceinthesystem“body-specialclothing-environment”inreallifesettingleadstotheconceptofthearrangementofelementsofwirelesssensornetwork.Forthefirsttimeamultidisciplinarystudyofthefactorsunderclothingspacewascarriedoutwithaviewtowirelesssensornetworksusingforthemonitoringparametersandimpactassessmentofclothingonefficiencyofemployeeproductivity.

Thesimulationofthermophysiologicalbehaviourofthehumanbyusingofanumberofthermalmanikinshasaconstantstandingbodypostureonsweatingthermalmanikins[1].Foranalysisofvibrationslevelsofpersonalequipmentcouldbeusesystemssuchasmotioncapture[2]andwearableactivitytracking[3].

a) b) c)Fig.1.WearableEDAsensorsfrom:a-XsensMVN-InertialMotionCapture[2];b-

WearableActivityTrackinginCarManufacturing[3];с-TheSMASHsystem(insidelayer)withKonnexandthreeGateways[4]

Alsotheusageofwarpknitmeshfabrics[5]thatarewidelyusedindifferenttechnicalandmedicalpurposeswithconductivethreatexcludespresenceofunstretchablewiresinclothingsystems.

Thus,thepracticalvalueofthisresearchiscomponentsandnew designdevelopment,aswhole,functionalclothingforspecialneedswithintegratedwirelesssensornetworks.Theexampleofarea-differentiatedarrangementwasintroducedbyauthorsuchasbiometriccomplex[6]basedonanalysisoffactorsthatinfluenceonzonation,qualitativeandquantitativecompositionofwirelesssensornetworkelementsandcouldbeusedformicroclimatemonitoringunderclothingspace.

Referencies

1. Wang F., Zhang C. Physiological Responses Predicted byThermoregulatoryModelControlledManikin:DoesSimulationofBodyPostureMakea

Difference?//Proceedingsofthe11thInternationalMeetingonThermalManikinandModelling(11i3m).–2016.–С.70.

2. RoetenbergD.,LuingeH.,SlyckeP.XsensMVN:full6DOFhumanmotiontrackingusingminiatureinertialsensors//XsensMotionTechnologiesBV,Tech.Rep.–2009.

3. StiefmeierT.etal.Wearableactivitytrackingincarmanufacturing//IEEEPervasiveComputing.–2008.–Т.7.–№.2.–С.42-50.

4. HarmsH.etal.Rapidprototypingofsmartgarmentsforactivity-awareapplications//JournalofAmbientIntelligenceandSmartEnvironments.–2009.–Т.1.–№.2.–С.87-101.

5. ErmolenkoI.V.Anewaspectofuseofwarp-knittingmeshyfabrics//VisnykHmel'nyc'kogonacional'nogouniversytetu.Serija:Tehnichninauky.–2013.–№.3.–S.74-78.

6. KurhanskyiA.V.,ZashhepkinaN.M.Monitoryngaktyvnostivodijaizzastosuvannjambezdrotovyhsensornyhmerezh//VisnykZhytomyrs'kogoderzhavnogotehnologichnogouniversytetu.Serija:Tehnichninauky.–2016.–№.2(77).

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