Assessing the up-peak performance of destination elevator group control systems using real time allocation of landing calls

Author(s):  
Lutfi Al Sharif ◽  
Anas Riyal ◽  
Zaid Jaber ◽  
Jamal Hamdan
2013 ◽  
Vol 12 (03) ◽  
pp. 591-617 ◽  
Author(s):  
JOAQUÍN FERNÁNDEZ ◽  
PABLO CORTÉS ◽  
JOSÉ GUADIX ◽  
JESÚS MUÑUZURI

High-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy is acquiring more and more industrial relevance every day as far as sustainable development is concerned. In this paper, the first entirely dynamic Fuzzy Logic Elevator Group Control System to dispatch landing calls so as to minimize energy consumption, especially during interfloor traffic, is proposed. The fuzzy logic design described here constitutes not only an innovative solution that outperforms usual dispatchers but also an easy, cheap, feasible and reliable solution, which is possible to be implemented in real industry controllers.


Author(s):  
Jin Zhou ◽  
◽  
Lu Yu ◽  
Shingo Mabu ◽  
Kaoru Shimada ◽  
...  

In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator systems (DDES) is developed as one of the next generation elevator group control systems. Artificial intelligence (AI) technologies have been employed to find some efficient solutions in the elevator group control systems during the late 20th century. Genetic Network Programming (GNP), a new evolutionary computation method, has been employed as the elevator group control system controller in some studies of recent years. Moreover, reinforcement learning (RL) has been also found to be useful for more improvements of elevator group control performances when it is combined with GNP. In this paper, we proposed a new approach of DDES using GNP with RL, and did some experiments on a simulated elevator group control system of a typical office building to evaluate its applicability and efficiency. Simulation results show that the DDES using GNP with RL performs better than the one without RL in regular and down-peak time, while both of them outperforms a conventional approach and a heuristic approach in all three traffic patterns.


2021 ◽  
Vol 48 ◽  
pp. 101286
Author(s):  
Shu Wang ◽  
Xuejian Gong ◽  
Mulang Song ◽  
Cindy Y. Fei ◽  
Stefan Quaadgras ◽  
...  

2018 ◽  
pp. 36-59
Author(s):  
Pablo Cortés ◽  
Luis Onieva ◽  
Jesús Muñuzuri ◽  
José Guadix

El transporte vertical es una disciplina que estudia los movimientos de personas en edificios. Los edificios altos se han convertido en una construcción común hoy en día. En dichos edificios, el transporte vertical es un problema que requiere un enfoque sistemático y ordenado. Así, para casos extremos en determinados edificios singulares, la ordenación del transporte vertical se convierte en un problema muy difícil de manejar, especialmente cuando diferentes personas llegan casi al mismo tiempo a plantas específicas deseando viajar hasta otras plantas de destino. Para resolver tales situaciones, la instalación de sistemas de control de grupos de ascensores (conocidos en inglés como Elevator Group Control Systems, EGCS) es una práctica habitual. Los EGCS se utilizan para gestionar ascensores coordinados múltiples en un edificio con el objeto de transportar pasajeros de manera eficiente. Los EGCS deben satisfacer las demandas asignando un ascensor a cada llamada de planta, realizando el despacho de ascensores atendiendo a diferentes criterios de optimización. Este artículo realiza una revisión sistemática y muestra distintas clasificaciones de las contribuciones más relevantes en la industria del transporte vertical, abordando tanto la revisión de la literatura científica, como las patentes en la industria y los trabajos recogidos en revistas de carácter profesional.


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