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Development And Arrangement Algorithm Of Elevator Group Energy Efficiency Monitoring Device

Posted on:2014-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:R XiaoFull Text:PDF
GTID:2252330425475948Subject:Instrumentation engineering
Abstract/Summary:PDF Full Text Request
Elevator is the indispensable transport equipment of high-rise building, transportsystem composed of multi-elevator group is widely used in the high-risebuildings.With theeconomic transformation of the society, the extensive economicdevelopment mode does not fullfill the new requirements oftoday’s development, sothe monitoring of elevator energy consumption and evaluation of energy efficiencywork is increasingly important.This paper is based on the energy consumption ofelevator group system monitoring devices, energy efficiency of system and energylevel are analysised through the group test data statistics, and then realized theapplication and analysis of elevator scheduling algorithm.Paper firstly expounds theresearch of elevator energy consumption and theresearch progress of elevator scheduling at home and abroad, puts forward the tractivesheave and testing principle of the elevator group system’s testing system framework,develops the hardware monitoring device. Finally the elevator energy efficiency dataanalysis platform is developed on the basis of C#language.This paper’s main workincludes:(1)Presents theoverallframework of real-time tractionelevator group monitoringsystem. The whole system can be divided into3layers in accordance with the flow ofdata streams, the top of the network is monitoring platform, the second layer is thecentral module field, the bottom is the direct monitoring of a single elevator sitemonitoring node object modules.(2)Based on the framework of the system, expend the development of thehardware design of the divided parts of the system, including hardware design of thefield monitoring nodes and data center module, in which the node module focuses onsolving real-time issues with the fully usage of the monitoring hardware peripheralsfrom DMA data channel to the timer capture channels and hall velocimetry part of thehardware design. The central module is focused on data center node function to solvethe practical aspects of communication interface and GUI requirements. Its hardwaredesign mainly focuses on RS485communication interface, Ethernet communicationinterface and FSMC driven LCD display module(3)Design and realize the system software. A time-trigger task scheduler onSTM32is achieved in order to solve the monitoring node module’s real-time issue.While the central module focuses ont the software application requirements, so the tranplant of uIP, FatFs, uC/GUI and uCOS-II code libraries is made. Again on thisfoundation to carry on the secondary development in order to finish the wholesoftware development. Finally the network monitoring center based on Visual Studio2010is realize and added with the function of the data statistical analysis function(4)Propose the group scheduling algorithm for the energy efficiency of elevatormonitoring device. The algorithm mainly consists of pre-processing stage and the coreprocessing stages, the first stage of processing include:①Disk data search, data pathdetection where the source files and build the corresponding of the structure;②Readdata file information, through layers of processing, statistical data in a single run, tobuild the corresponding data structure;③While reading the data file, build theelevator displacement energy correspondence table; core processing stages include:①According to the statistics of a single run data, generate basic services unit;②Generated each elevator group control domain;③Verification assessment of eachgenerated control domain;④Optimize the control domain filtering.(5)Integrate the whole device and do the actual test, monitoring and real-timedata receive part of the site, by the late data processing, respectively, on the workingday,24hours a day working condition from the angle of the data statistics andanalysis.In group system on the basis of monitoring data validation and schedulingalgorithm, the optimal elevator group control field is obtained results.
Keywords/Search Tags:Traction elevator group, Energy efficiency, Real-time monitoring, statistics, Arrangement algorithm
PDF Full Text Request
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