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NB-IoT-based Intelligent Trash Management System And Research On Its Reliability

Posted on:2021-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ZhuFull Text:PDF
GTID:2381330605481155Subject:Computer technology
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In recent years,the process of urban construction in China has been developing continuously.In order to adapt to the development and evolution of global advanced cities,China has put forward the construction concept of smart city.Smart city conforms to the trend of technological change,and is the frontier concept and practical exploration to promote the process of urban informatization.Smart sanitation is an important part of smart city construction and a new concept of urban sanitation construction.Smart sanitation aims to carry out real-time management of people.substances and things in the whole process of sanitation management through Internet of things technology and mobile Internet technology,reasonably plan management mode,improve management quality and efficiency,reduce operation cost of sanitation.and provide smart sanitation services for cities.The traditional sanitation work mostly depends on human resources.Relying solely on human resources sanitation mode will lead to low efficiency,poor quality of work and low level of sanitation management.Therefore,this paper proposes an intelligent garbage bin management system based on NB-IoT,which mainly provides the intelligent management of terminal sanitation equipment and the intelligent analysis of sanitation data,and realizes the intelligent service of urban sanitation management.In the actual operation process of the system,the operation data of the system reflects that the system reliability has not reached the perfect result in theory,so this paper studies the system reliability of the Internet of things system.The main contents of this paper are as follows:1.Based on the defects of the traditional human sanitation model,this paper finds out the functional requirements of the new intelligent sanitation model,and then uses the existing emerging technologies,including machine learning,Internet of things,cloud computing and other theories and technologies to realize the intelligent trash can management system based on NB-IoT.The system mainly includes intelligent trash can,NB-IoT communication technology,Internet of things cloud platform and central monitoring platform.Intelligent trash can is an intelligent trash can integrated with various types of sensors,which can realize the monitoring of garbage capacity,hazardous substances in trash can,location of trash can,etc.NB-IoT realizes the transmission of system data with the advantages of wide coverage,large connection,low power consumption and low cost.The cloud platform of the Internet of things plays a connecting role between the NB-IoT intelligent terminal and the system application platform,realizing the integration and transmission of uplink and downlink data.The central monitoring platform in the system can realize remote monitoring of terminal equipment and visual management of data information.The whole Internet of things system can provide scientific,refined and intelligent services for urban sanitation.2.Based on the operation data of NB-IoT intelligent trash can management system,it is found that the reliability of the Internet of things system does not reach the theoretical 100%perfect result.Therefore,this paper summarizes all kinds of factors that affect the reliability of the Internet of things system,and then conducts reliability simulation experiments for the NB-IoT communication network which has a large number of factors,specifically analyzes the effect of NB-IoT communication network on the reliability of the Internet of things system.The experimental results show that the NB-IoT signal transmission distance,the number of NB-IoT nodes,and all kinds of obstacles on the NB-IoT signal transmission path have a weak impact on the system reliability,but do not affect the normal operation of the system.
Keywords/Search Tags:Smart sanitation, NB-IoT, IoT cloud platform, reliability, ns-3
PDF Full Text Request
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