Intellevator: Enhancing Elevator System Efficiency by Proactive Computing on The Traffic Flow

Ge, Hangli; Hamada, Takeo; Sumitomo, Takahiro; Koshizuka, Noboru

doi:10.1109/lifetech.2019.8884070

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Dedicated external hardware development has enabled the function of the destination floor being pre-input. For instance, elevator systems where the destination floor could be pre-input by deploying the equipment of an additional button panel outside the elevator have been proposed by [19], [22], [23]. Kwon et al [10] utilized three types of sensors: RFID, camera and floor sensors to detect passengers at the specific places.…”

Section: Related Workmentioning

confidence: 99%

Intellevator: An Intelligent Elevator System Proactive in Traffic Control for Time-Efficiency Improvement

Hamada

Sumitomo

et al. 2020

IEEE Access

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Elevator functioning as a vertical transport facility remains stand-alone and incapable of accessing the fine-grained traffic information. It significantly restricts the flexibility and efficiency of vertical transporting. In particular, while in peak-time, the limited elevator physical capacity with the momentary traffic increment gives rise to the vertical traffic bottleneck problem in large-scale buildings. The problem further results in the long waiting, dissatisfaction, frustration of passengers. In this paper, we present our proposal named Intellevator: an intelligent elevator system that enables the passively functioning elevator system be proactive and intelligent in traffic control for optimizing the transport efficiency. The proposal is an end-to-end architecture that composed of three aspects: Internet of things (IoT)-enabling technology on a conventional elevator; an agent server to enhance elevator computational capability and a novel user interface for delivering system intelligence to end-users. The proposal was experimented on a conventional elevator in a built smart-building environment. Numerical simulation results have demonstrated the system efficiency improvement. In addition, the system usability and user experience have been evaluated by a user study as well.

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Section: Related Workmentioning

confidence: 99%

Intellevator: An Intelligent Elevator System Proactive in Traffic Control for Time-Efficiency Improvement

Hamada

Sumitomo

et al. 2020

IEEE Access

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An Intelligent Elevator System Based on Low Power Wireless Networks

Sun

Hong

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Optimization of energy consumption in vertical mobility systems of high-rise office buildings: A case study from a developing economy

Thebuwena,

Samarakoon,

Ratnayake

2024

Energy Efficiency

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Elevator systems serve as the primary mode of transportation in tall buildings which consumes approximately 5–15% of a building's total energy demand. This research explores the potential for energy savings in elevator systems while maintaining passenger comfort through the implementation of green approaches. The research concentrates on a contemporary high-rise office building situated in the central business district of a developing economy. It employs a case study methodology involving traffic simulation to determine optimal elevator specifications for industry-standard service levels. By conducting the simulation, the researchers identified the optimal number of elevators, elevator capacity, speed, and the most suitable elevator management system. Following that, a range of green measures were implemented, including the incorporation of a regenerative system, to effectively reduce the electrical energy consumption of the elevator system. Subsequently, a passenger traffic simulation model was integrated with an energy calculation model to jointly simulate and calculate the elevator system's overall energy consumption and regeneration. The elevator energy requirements were optimized, while maintaining user-friendliness and requirements related to guidelines given in the standards. The results showed that 36% of the energy consumption was reduced by incorporating an energy regenerative option into the elevator system in addition to selecting efficient mechanical components and implementing an efficient elevator traffic management system. This research contributes to the limited body of literature on energy optimization in elevators and emphasizes the importance of balancing energy efficiency with service quality. These findings provide guidance for establishing benchmarks in reducing energy consumption, in relation to elevator systems.

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Intellevator: Enhancing Elevator System Efficiency by Proactive Computing on The Traffic Flow

Cited by 3 publications

References 7 publications

Intellevator: An Intelligent Elevator System Proactive in Traffic Control for Time-Efficiency Improvement

Intellevator: An Intelligent Elevator System Proactive in Traffic Control for Time-Efficiency Improvement

An Intelligent Elevator System Based on Low Power Wireless Networks

Optimization of energy consumption in vertical mobility systems of high-rise office buildings: A case study from a developing economy

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