3 research outputs found
Dynamic fuzzy logic elevator group control system for energy optimization
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
An Energy-Efficient Elevator Operating System that Considers Sensor Information and Electricity Price Changes in Smart Green Buildings
In modern smart buildings, the energy consumption of a building is monitored every time. Smart buildings are also equipped with sensors that can collect various physical data such as temperature, motion, and light. In this paper, we use smart sensor technologies in the design of an efficient elevator operating system (EOS). Specifically, multiple sensor devices are used together to detect elevator passengers’ behavior before they arrive at the elevator door and press the elevator call button. The detected information is then delivered to EOS through building networks and the scheduling system utilizes this information for the efficient control of the elevator cars. Specifically, when the number of passengers becomes large, EOS increases the number of working elevator cars to reduce the waiting time of passengers. In contrast, when the elevator traffic lessens, EOS reduces the number of working elevator cars in order to save the energy consumption. Experimental results with a wide range of configurations show that our EOS outperforms the conventional elevator scheduling system that does not consider sensor information or electricity price changes
Una revisión del estado del arte de los problemas asociados al transporte vertical mediante ascensores en edificios
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 dÃa. En dichos edificios, el transporte vertical es un problema que requiere un enfoque
sistemático y ordenado. AsÃ, para casos extremos en determinados edificios singulares, la ordenación del transporte vertical se
convierte en un problema muy difÃcil de manejar, especialmente cuando diferentes personas llegan casi al mismo tiempo a plantas
especÃficas 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 artÃculo 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 cientÃfica,
como las patentes en la industria y los trabajos recogidos en revistas de carácter profesional.Plan Nacional de I+D TI-331/2002Plan Nacional de I+D DPI2010- 15352ConsejerÃa de Innovación, Ciencia y Empresa de la Junta de AndalucÃa P07-TEP-0283