Article: Research on intelligent scheduling strategy of elevator group under the big data platform Journal: International Journal of Internet Protocol Technology (IJIPT) 2020 Vol.13 No.2 pp.85 - 93 Abstract: The traditional elevator dispatching system has a long response time, resulting in poor scheduling performance. To this end, an elevator group intelligent dispatching system is designed under the large data platform. The overall structure of the system is given, and the elevator data is fused under the big data platform. The objective function is determined based on the results of the big data processing. The comprehensive evaluation function of the elevator group intelligent dispatching system is established by linear weighting method. The traffic mode is judged by the elevator group, the constraint rules are given, and the ant colony algorithm is applied to the elevator group intelligent scheduling to obtain the optimal scheduling scheme. The experimental results show that the system can respond to the time period and the elevator runs efficiently. This paper designs the elevator group intelligent dispatching system to have good overall performance. Inderscience Publishers - linking academia, business and industry through research

Title: Research on intelligent scheduling strategy of elevator group under the big data platform

Authors: Junjun Liu; Jian Wu; Lanzhong Guo; Mingyang Li; Ming Zhang

Addresses: Changshu Institute of Technology, Changshu, 215500, China; Jiangsu Key Laboratory for Elevator Intelligent Safety, Changshu, 215500, China ' Changshu Institute of Technology, Changshu, 215500, China; Jiangsu Key Laboratory for Elevator Intelligent Safety, Changshu, 215500, China ' Changshu Institute of Technology, Changshu, 215500, China; Jiangsu Key Laboratory for Elevator Intelligent Safety, Changshu, 215500, China ' Changshu Institute of Technology, Changshu, 215500, China ' Changshu Institute of Technology, Changshu, 215500, China

Abstract: The traditional elevator dispatching system has a long response time, resulting in poor scheduling performance. To this end, an elevator group intelligent dispatching system is designed under the large data platform. The overall structure of the system is given, and the elevator data is fused under the big data platform. The objective function is determined based on the results of the big data processing. The comprehensive evaluation function of the elevator group intelligent dispatching system is established by linear weighting method. The traffic mode is judged by the elevator group, the constraint rules are given, and the ant colony algorithm is applied to the elevator group intelligent scheduling to obtain the optimal scheduling scheme. The experimental results show that the system can respond to the time period and the elevator runs efficiently. This paper designs the elevator group intelligent dispatching system to have good overall performance.

Keywords: big data platform; elevator group; intelligence; scheduling; system.

DOI: 10.1504/IJIPT.2020.106300

International Journal of Internet Protocol Technology, 2020 Vol.13 No.2, pp.85 - 93

Received: 09 Nov 2018
Accepted: 20 Jan 2019
Published online: 02 Apr 2020 *

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Title: Research on intelligent scheduling strategy of elevator group under the big data platform

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