A State of the Art on the Most Relevant Patents in Vertical Transportation in Buildings
Pablo Cortes, Jose Guadix and Jesus Munuzuri
Affiliation: Ingenieria Organizacion. Escuela Superior Ingenieros. University of Seville, c/ Camino de los Descubrimientos s/n., E-41092. Seville, Spain.
Keywords: Vertical transportation, elevator, lift, controller, artificial intelligence, fuzzy logic, neural network, genetic algorithm, double deck lift, hall call
Nowadays, the building industry and its associated technologies are experiencing a period of rapid growth, which requires an equivalent growth regarding technologies in the field of vertical transportation. Therefore, the installation of synchronised elevator groups in modern buildings is a common practice in order to govern the dispatching, allocation and movement of the cars shaping the group. So, elevator control and management has become a major field of application for Artificial Intelligence approaches. Methodologies such as fuzzy logic, artificial neural networks, genetic algorithms, ant colonies, or multiagent systems are being successfully proposed in the scientific literature, and are being adopted by the leading elevator companies as elements that differentiate them from their competitors. In this sense, the most relevant companies are adopting strategies based on the protection of their discoveries and inventions as registered patents in different countries throughout the world. This paper presents a comprehensive state of the art of the most relevant recent patents on computer science applied to vertical transportation.
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