瀝青路面養(yǎng)護(hù)智能檢測與決策綜述

瀝青路面養(yǎng)護(hù)智能檢測與決策綜述一、本文概述OverviewofthistheimportanceofmaintenanceandmanagementofasphaltTherefore,utilizingmoThisarticleaimsstatus,keyissues,andfanddecision-makingtechnologyforasphaltpavementmaintenance.Wewilloutlinetheimportanceofasphaltpavementmaintenanceandthelimitationsoftradidetectionanddecision-makingtechnologymaintenance,includingnon-ddataanalysisandmining,maintenanceintelligentdetectionanddecisinasphaltpavementmaintenance,inordertoprovidereference二、瀝青路面養(yǎng)護(hù)現(xiàn)狀overallqualityoftheroadandtrafficsafety.However,withtheincreaseofservicelife,vehicleload,andenvironmentalThesedamagesnotonlissues.Therefore,themaintenanceworkofasphaltpavementisAtpresent,themaintenanceworkofasphaltpavementinsupportinmaintenancempiricaljudgmentandhumanimprecisioninmaintenancedecision-making.Thmaintenancemodelisnoroadmaintenance.Withthecontinuousprogressoftechnology,theapplicationofintelligenttechnologyinthefieldofaspavementmaintenanceisgrdataanalysisofasphaltpavementconditions,accurateandscientificbasisformaintenancedecisiHowever,currentlyinChina,theintelligentmaintenanceofmatureandwidespread.Therefore,strengtheningtheresearchroadmaintenance三、智能檢測技術(shù)的發(fā)展與應(yīng)用TheDevelopmentandApplicationofIntelligentWiththecontinuousdevelopmentoftechnology,theofasphaltpavementmaintenanceisbecomingincreasinglywidespread.Intelligentdetectiontechnology,withitsmaintenanceefficiencyandqualityofasphalInrecentyears,dronetechnologyhasbeenwidelyappliedinthefieldofasphaltpavementmaintenance.Dronesimagers,andothercapturedbydrones,itispossibletpotholes,andotherdiseasesonthesametime,infraredthermalimagerscandetectthetemperdistributionoftheroadsurfsupportforpreventivemaiInadditiontodronetechnology,artificialintelligencefieldofasphaltpavementmaintenanclearningofhistoricalmaintenancedata,artificialintelligencetechnologycamaintenancedecision-making.Atthesameclassifyroadsurfacediseases,improvingdapplicationofthesetechnologieswillfurtherpromotethedevelopmentofintelligentasphaltpavementmainThedevelopmentandapplpavementmaintenance.Inthefuture,withthecontinprogressandinnovationoftechnology,intelligentdetectiontechnologywillplayagreaterroleintheficldofasphalt四、智能決策系統(tǒng)的構(gòu)建與優(yōu)化Withthecontinuousdevelopmentoftechnology,thefieldofasphaltpavementmaintenanceisgrecommendationandoptimizationofamaintenanceplansthroughtheprocessingandanalysisofmassivedata,greatlyimprovingtheefficiencyandqualityofcompletenessofdata.Thisincludescollectingvarioussources,suchasmroadperformancedata,etc.,andperfopreprocessingtoeliminateoutliersandnoisalgorithmsandmodelsshouldhavestroninputdata.Commonalgorithmsiofthemodel.Atthesametime,therobustnessofthem智能決策系統(tǒng)還需要與實(shí)際的養(yǎng)護(hù)工作緊密結(jié)合，根據(jù)養(yǎng)護(hù)工作的特點(diǎn)和需求進(jìn)行定制和優(yōu)化。例如，可以根據(jù)養(yǎng)護(hù)工作的季節(jié)性特點(diǎn)，調(diào)整模型的參數(shù)和輸入數(shù)據(jù)，以更好地適應(yīng)也可以通過與養(yǎng)護(hù)工人的交流和反饋，不斷改進(jìn)和優(yōu)化智能決策系統(tǒng)，提高其在實(shí)際工作中的應(yīng)用效果。closelyintegratedwithactualmaintenancework,customizedandoptimizedaccordingtothecharacteristicsandneedsofcharacteristicsofmaintenanceworktobetteradapttothemaintenanceneedsofdifferentseasons.Itisalsopossibletodecision-makingsystemthroughapplicationprospectsandenoandoptimizationdecisionscanbeachievedf五、智能檢測與決策的綜合應(yīng)用ComprehensiveapplicationofintelligentWiththecontinuousprogressoftechnology,thesystemsinthefieldofasphaltpavementmaintenanceisefficiencyofmaintenanceworkpracticalapplications,intelligentdetectiosurface,includingroadconditiofactors,etc.,andthenconductin-depthanalysistopredicttheservicelifeofthe以智能檢測為例，無人機(jī)和自動駕駛車輛已成為重要的數(shù)據(jù)采集工具。無人機(jī)可以在空中對路面進(jìn)行高清拍攝，獲取路面的裂縫、坑槽等詳細(xì)信息；而自動駕駛車輛則可以在道路上持續(xù)收集數(shù)據(jù)，包括路面的平整度、摩擦系數(shù)等。這些數(shù)據(jù)通過云計(jì)算平臺進(jìn)行處理和分析，為后續(xù)的決策提供數(shù)據(jù)支持。autonomousvehicleshavebecomeimportantdataccracksandpotholesThesedataareprocessedandanalyzedthroughplatformstoprovide在決策層面，智能系統(tǒng)能夠根據(jù)收集到的數(shù)據(jù)，結(jié)合歷史養(yǎng)護(hù)經(jīng)驗(yàn)和專業(yè)知識，進(jìn)行模擬和優(yōu)化，最終生成養(yǎng)護(hù)方案。這些方案不僅包括了具體的養(yǎng)護(hù)措施，如填補(bǔ)裂縫、重新鋪設(shè)等，還詳細(xì)規(guī)劃了養(yǎng)護(hù)工作的時間、人員和設(shè)備需求等。通過這種方式，養(yǎng)護(hù)工作能夠更simulateandoptimizemaintenanceplansbasedonccombinedwithhistoricalmaintenanceexperienceandbutalsodetailedplanningofmaintenanceworktime,maintenancework.conductanotherinspectionofmaintenanceeffect.Ifunsatisfactoryresultsornewproblemsdecision-makingsystemsinthmaintenancework,butalsopromotestheintelligenceandrefinementofmaintenancework.Inthefuture,withthecontinuousprogressoftechnologyandtheexpansionofofasphaltpavementmaintenance,providingstrongguaranteesforthesafety,smoothness,andsu六、挑戰(zhàn)與展望Asthemainformofroadconstruction,theimportanceofasphaltpavementmaintenanceworwiththeprogressoftechnologyandtheiroadqualityinsociety,themaintenTechnicalupdatesandtrainingrequirements:Withthedevelopmentofintelligentdetectionanddecisiotechnology,maintenancepersonnelneedtoconstantlyupdatetheirknowledgesystem,masttechnicallevelofthemaintenan數(shù)據(jù)整合與處理：智能檢測產(chǎn)生的海量數(shù)據(jù)需要有效的整合和處理，以提取出有價值的信息。數(shù)據(jù)的準(zhǔn)確性和完整性對于決策的準(zhǔn)確性至關(guān)重要，但這也是目前面臨的一大挑戰(zhàn)。Dataintegrationandprocessing:Themassivedataintegrationandprocessingtoextr成本效益分析：雖然智能檢測與決策技術(shù)能夠提高養(yǎng)護(hù)工作的效率和質(zhì)量，但其初始投資和維護(hù)成本也相對較高。如何在保證質(zhì)量的前提下，實(shí)現(xiàn)成本效益的最大化，是決策者需要考慮的問題。qualityofmaintenancework,itsinitialinvesStandardsandspecifications:Withtheapplicationofnewofmaintenancework.ThisrequiresthejointeffortsofthethefurtherdevelopmentoftechnologiessuchastheInternetofThings,bigdata,andartificialintelligence,intellidetectionanddecision-makingtechnologywillbecomemoretechnologieswillpromotethedevelopmentofasphaltpavementmaintenanceworktoahighermaintenancedecisionscanbeefficiencyandqualityofmaintenancework.attentionshouldbepaidtoenvmaterialsandenergy-savingtechnologies,theimpactmaintenanceworkontheenvironmentisCrossbordercooperationandwin-winmaintenanceofasp