MODEL OF DYNAMIC ELEVATOR CONTROL SYSTEM USING CENTRAL APPLICATION SERVER
Łukasz Furgała
Politechnika Lubelska, Katedra Napędów i Maszyn Elektrycznych (Poland)
Krzysztof Kolano
k.kolano@pollub.plPolitechnika Lubelska, Katedra Napędów i Maszyn Elektrycznych (Poland)
Włodzimierz Mosorow
Politechnika Łódzka, Instytut Informatyki Stosowanej (Poland)
Abstract
The passenger handling process of personal passenger lifts usually implements local microprocessor devices. This solution has significant limitations. Among them, you can mention low computing power CPU, the need to install each time on each microcontrollers in the case of a new software version. Data acquisition requires costly modules to record and access historical data. More optimal handling of the elevator or group of lifts can be achieved by the proposed transfer of the control algorithm to the central server. The solution based on the proposed model will also allow you to remote configuration, management of parameters, including dynamic change of control algorithm and advanced management access and permissions.
Keywords:
intelligent management systems, passenger lift, work optimizationReferences
Bamunuarachchi D.T., Ranasinghe D.N.: Elevator group optimization in a smart building. IEEE 10th International Conference on Industrial and Information Systems (ICIIS) 2015, 71–76.
Google Scholar
Dongmei Y.: Dispatching strategy of elevator group control system based on policy-booking fuzzy optimization. IEEE International Conference on Information and Automation (ICIA) 2014, 578–581.
Google Scholar
Fernandez J.R., Cortes P.: A Survey of Elevator Group Control Systems for Vertical Transportation: A Look at Recent Literature. IEEE Control Systems 35(4)/2015, 38–55.
Google Scholar
Markon S.: A solvable simplified model for elevator group control studies. IEEE 4th Global Conference on Consumer Electronics (GCCE) 2015, 56–60.
Google Scholar
Xibo W., Hongshuai G., Wenbo Z., Yingzhen L.: Design of elevator running parameters remote monitoring system based on Internet of Things. 6th IEEE International Conference on Software Engineering and Service Science (ICSESS) 2015, 549–555.
Google Scholar
Zheng L., Guang S., Hui D.: Research of elevator group scheduling system based on reinforcement learning algorithm. Proceedings of 2013 2nd International Conference on Measurement, Information and Control Year 1/2013, 606–610.
Google Scholar
Authors
Łukasz FurgałaPolitechnika Lubelska, Katedra Napędów i Maszyn Elektrycznych Poland
Authors
Krzysztof Kolanok.kolano@pollub.pl
Politechnika Lubelska, Katedra Napędów i Maszyn Elektrycznych Poland
Authors
Włodzimierz MosorowPolitechnika Łódzka, Instytut Informatyki Stosowanej Poland
Statistics
Abstract views: 188PDF downloads: 63
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
