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沥青路面养护智能检测与决策综述一、本文概述OverviewofthistheimportanceofmaintenanceandmanagementofasphaltTherefore,utilizingmoThisarticleaimsstatus,keyissues,andfanddecision-makingtechnologyforasphaltpavementmaintenance.Wewilloutlinetheimportanceofasphaltpavementmaintenanceandthelimitationsoftradidetectionanddecision-makingtechnologymaintenance,includingnon-ddataanalysisandmining,maintenanceintelligentdetectionanddecisinasphaltpavementmaintenance,inordertoprovidereference二、沥青路面养护现状overallqualityoftheroadandtrafficsafety.However,withtheincreaseofservicelife,vehicleload,andenvironmentalThesedamagesnotonlissues.Therefore,themaintenanceworkofasphaltpavementisAtpresent,themaintenanceworkofasphaltpavementinsupportinmaintenancempiricaljudgmentandhumanimprecisioninmaintenancedecision-making.Thmaintenancemodelisnoroadmaintenance.Withthecontinuousprogressoftechnology,theapplicationofintelligenttechnologyinthefieldofaspavementmaintenanceisgrdataanalysisofasphaltpavementconditions,accurateandscientificbasisformaintenancedecisiHowever,currentlyinChina,theintelligentmaintenanceofmatureandwidespread.Therefore,strengtheningtheresearchroadmaintenance三、智能检测技术的发展与应用TheDevelopmentandApplicationofIntelligentWiththecontinuousdevelopmentoftechnology,theofasphaltpavementmaintenanceisbecomingincreasinglywidespread.Intelligentdetectiontechnology,withitsmaintenanceefficiencyandqualityofasphalInrecentyears,dronetechnologyhasbeenwidelyappliedinthefieldofasphaltpavementmaintenance.Dronesimagers,andothercapturedbydrones,itispossibletpotholes,andotherdiseasesonthesametime,infraredthermalimagerscandetectthetemperdistributionoftheroadsurfsupportforpreventivemaiInadditiontodronetechnology,artificialintelligencefieldofasphaltpavementmaintenanclearningofhistoricalmaintenancedata,artificialintelligencetechnologycamaintenancedecision-making.Atthesameclassifyroadsurfacediseases,improvingdapplicationofthesetechnologieswillfurtherpromotethedevelopmentofintelligentasphaltpavementmainThedevelopmentandapplpavementmaintenance.Inthefuture,withthecontinprogressandinnovationoftechnology,intelligentdetectiontechnologywillplayagreaterroleintheficldofasphalt四、智能决策系统的构建与优化Withthecontinuousdevelopmentoftechnology,thefieldofasphaltpavementmaintenanceisgrecommendationandoptimizationofamaintenanceplansthroughtheprocessingandanalysisofmassivedata,greatlyimprovingtheefficiencyandqualityofcompletenessofdata.Thisincludescollectingvarioussources,suchasmroadperformancedata,etc.,andperfopreprocessingtoeliminateoutliersandnoisalgorithmsandmodelsshouldhavestroninputdata.Commonalgorithmsiofthemodel.Atthesametime,therobustnessofthem智能决策系统还需要与实际的养护工作紧密结合,根据养护工作的特点和需求进行定制和优化。例如,可以根据养护工作的季节性特点,调整模型的参数和输入数据,以更好地适应也可以通过与养护工人的交流和反馈,不断改进和优化智能决策系统,提高其在实际工作中的应用效果。closelyintegratedwithactualmaintenancework,customizedandoptimizedaccordingtothecharacteristicsandneedsofcharacteristicsofmaintenanceworktobetteradapttothemaintenanceneedsofdifferentseasons.Itisalsopossibletodecision-makingsystemthroughapplicationprospectsandenoandoptimizationdecisionscanbeachievedf五、智能检测与决策的综合应用ComprehensiveapplicationofintelligentWiththecontinuousprogressoftechnology,thesystemsinthefieldofasphaltpavementmaintenanceisefficiencyofmaintenanceworkpracticalapplications,intelligentdetectiosurface,includingroadconditiofactors,etc.,andthenconductin-depthanalysistopredicttheservicelifeofthe以智能检测为例,无人机和自动驾驶车辆已成为重要的数据采集工具。无人机可以在空中对路面进行高清拍摄,获取路面的裂缝、坑槽等详细信息;而自动驾驶车辆则可以在道路上持续收集数据,包括路面的平整度、摩擦系数等。这些数据通过云计算平台进行处理和分析,为后续的决策提供数据支持。autonomousvehicleshavebecomeimportantdataccracksandpotholesThesedataareprocessedandanalyzedthroughplatformstoprovide在决策层面,智能系统能够根据收集到的数据,结合历史养护经验和专业知识,进行模拟和优化,最终生成养护方案。这些方案不仅包括了具体的养护措施,如填补裂缝、重新铺设等,还详细规划了养护工作的时间、人员和设备需求等。通过这种方式,养护工作能够更simulateandoptimizemaintenanceplansbasedonccombinedwithhistoricalmaintenanceexperienceandbutalsodetailedplanningofmaintenanceworktime,maintenancework.conductanotherinspectionofmaintenanceeffect.Ifunsatisfactoryresultsornewproblemsdecision-makingsystemsinthmaintenancework,butalsopromotestheintelligenceandrefinementofmaintenancework.Inthefuture,withthecontinuousprogressoftechnologyandtheexpansionofofasphaltpavementmaintenance,providingstrongguaranteesforthesafety,smoothness,andsu六、挑战与展望Asthemainformofroadconstruction,theimportanceofasphaltpavementmaintenanceworwiththeprogressoftechnologyandtheiroadqualityinsociety,themaintenTechnicalupdatesandtrainingrequirements:Withthedevelopmentofintelligentdetectionanddecisiotechnology,maintenancepersonnelneedtoconstantlyupdatetheirknowledgesystem,masttechnicallevelofthemaintenan数据整合与处理:智能检测产生的海量数据需要有效的整合和处理,以提取出有价值的信息。数据的准确性和完整性对于决策的准确性至关重要,但这也是目前面临的一大挑战。Dataintegrationandprocessing:Themassivedataintegrationandprocessingtoextr成本效益分析:虽然智能检测与决策技术能够提高养护工作的效率和质量,但其初始投资和维护成本也相对较高。如何在保证质量的前提下,实现成本效益的最大化,是决策者需要考虑的问题。qualityofmaintenancework,itsinitialinvesStandardsandspecifications:Withtheapplicationofnewofmaintenancework.ThisrequiresthejointeffortsofthethefurtherdevelopmentoftechnologiessuchastheInternetofThings,bigdata,andartificialintelligence,intellidetectionanddecision-makingtechnologywillbecomemoretechnologieswillpromotethedevelopmentofasphaltpavementmaintenanceworktoahighermaintenancedecisionscanbeefficiencyandqualityofmaintenancework.attentionshouldbepaidtoenvmaterialsandenergy-savingtechnologies,theimpactmaintenanceworkontheenvironmentisCrossbordercooperationandwin-winmaintenanceofasp

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