Design And Implementation Of Elevator Intelligent Maintenance System Based On Internet Of Things

By deeply invesgating in the concept of Intelligence Maintainence and SafetyManagement for elevator groups, and by analyzing the emerging problems in theremote monitoring and diagnosis systems for elevator nowdays, technology inInternet of Things is introduced into the safety management systems for elevator tocomprhensively promote the safety performance of elevator systems. In addition,prognosis for elevator based on Case-based Reasoning and Intelligent Maintainencefor elevator based on electronic map is introduced, and applications using these twotechnologies are designed and implemented.On the basis of analyzing the normal framework of Internet of Things, a newframework is designed for elevator safety management system by modifying normalframework. The Fault Prognosis and Intelligent Maintainence system for elevator isbroken into three layers, which are sensor layer, network layer and application layer.The network layer is mainly based on Wireless network and ethernet, and it isresponsible for data trasmitting. The application layer is consisited by a series ofsoftwares placed in the maitainence center, and it’s functions mainly include dataprognosis, task scheduling, data storing and statistically analyzing. The applicationlayer is the heart of the system.A novel fault prognosis method based on Case Reasoning is introduced on thebasis of the existing system in out laboratory, and this method successfully expand theexisting function of "acting afterward" to the funtion of "acting beforehand". First thereasoning machine for Case Reasoning is designed and implemented by using VisualC++, and the elevator case database is structured and implemented by using MicrosoftSQL. At last the Human Interface is designed and implemented. And the caseretrieving module and similiarity computing module are elaborated.A function of electronic map is introduced on the basis of the existing system.The location-based system fot elevator is designed and implemented by using theGOOGLE MAP API. The specified functions mainly include distance computingbetween the elevator and maintainence staff, route optimizing and task scheduling.The location-based module is embedded into the main software.Finally a reasonable outlook of the system is introduced, and several flaws andtechnical problems are highlighted. Several novel technologies need furtherresearching, including promote the computing speed by Cloud Computing andMethod of Big Data Analyzing.