Kone Corporation

Mirko Ruokokoski

Raimo K Pelto-Huikko

Tapio Tyni

Marja-Liisa Siikonen

Juha-Matti Kuusinen

Janne Sorsa

Henri Hakonen

Petteri Valjus

Petri Kere

Pekka Perunka

Pasi Raitola

Sergey Kitov

Juho Kokkala

Jari Karhu

Markus Hautakorpi

Pekka PerÄlÄ

Raimo Pelto-huikko

Toni Tukia

Mikael Krantz

Karthik Sindhya

Markus Hartikainen

Johan GRÖNHOLM

According to an aspect, there is provided a control device. The control device is configured to receive data from a passenger traffic system configured in a building, the data comprising information associated with operations for transferring passengers of the passenger traffic system; based on the received data, monitor a change in a quality of service level of the passenger traffic system in transferring the passengers and a change in a passenger traffic pattern in transferring the passengers in the passenger traffic system; and in response to detecting the change in the service level or in the passenger traffic pattern, run one or more simulations of the passenger traffic in the passenger traffic system in the at least one building using the received data in order to trigger at least one operation to change a configuration of the passenger traffic system.

Control device for passenger traffic system

According to an aspect, there is provided a method for determining the number of elevator cars in a two-shaft multi-car elevator system. The method comprises determining the number of active elevator cars N in the two-shaft multi-car elevator system by wherein RTT is a round trip time of the two-shaft multi-car elevator system, arr is the arrival rate of passengers, a is a car load factor, and carsize is the number of passengers one elevator car is able to carry.

Managing the number of active elevator cars in a multi-car elevator shaft system

A method and an apparatus for computing allocation decisions in an elevator system is provided. Historical passenger batch journey data relating to the elevator system is obtained, wherein each passenger batch journey includes an origin and a destination floor of the journey, the number of passengers of the journey and the time of the journey. Historical passenger traffic statistics are constructed based on the passenger batch journey data, and expected calls are modelled based on the passenger traffic statistics. The modelled expected call is taken into account in computing subsequent allocation decisions in the elevator system.

Computing allocation decisions in an elevator system

A method and a control device for controlling an at least one elevator are described, by which an arriving traffic intensity is detected, the traffic intensity being a number of passengers arriving at the at least one elevator during a traffic intensity determination period, a traffic amount value is determined by comparing the traffic intensity to a maximum building population, wherein the maximum building population is a maximum number of people in a building, and the at least one elevator is controlled based on the determined traffic amount value.

Peak traffic detection according to passenger traffic intensity

Modern large buildings and public places are equipped with a plurality of elevators, exits and points of interest for fluent movement. The passenger flows in a building or public place can be traced and modelled by using statistics and information regarding current state of the modelled building or public place. The information derived from this model can be used for controlling elevators, escalators and similar in the building more efficiently. The same information may be used also for guiding passengers in the building or public place to use other transportation means so that the duration high traffic situation can be reduced or sometimes completely avoided.

Evacuation controller

A method of assigning destination call in an elevator group forms chromosomes including genes where each gene is a correlation of a call and an elevator trip, the possible round trips are calculated, each round trip is evaluated for optimization procedure. The calls are assigned to the elevators by the destination call control based on the best chromosome determined.

Allocating destination calls using genetic algorithm employing chromosomes

A method for controlling an elevator where an elevator is allocated for the use of a passenger in a first optimization phase in such a way that a first cost function is minimized, a second optimization phase is performed, in which the route of the allocated elevator is optimized in such a way that a second cost function is minimized.

Method for controlling an elevator system

The invention relates to an elevator system comprising a first elevator car, a second elevator car, a rotatable rope wheel mounted on a fixed location, and a roping suspending the first and second elevator car on opposite sides of the rope wheel, the roping comprising at least one rope passing over the rope wheel, and connected on the first side of the rope wheel to the first elevator car and on the second side to the second elevator car. Said rope comprises at least one load bearing member oriented parallel with the longitudinal direction of the rope made of composite material comprising reinforcing fibers embedded in polymer matrix, which reinforcing fibers are carbon fibers oriented parallel with the longitudinal direction of the rope.

Growing community of inventors

Helsinki, Finland

Mirko Ruokokoski