Method of Collaborative Scheduling of Acquisition Tasks Based on Artificial Intelligence
Authors: 
Ye Li, Guang Yang, Hao Ji, Delong Dong, Gang Li, Xin ChenAuthors Info & Claims
Pages 297 - 302
Abstract
The development of the Energy Internet puts forward higher requirements for new-type information acquisition systems of power consumption. A collaborative scheduling method for information acquisition tasks based on artificial intelligence is proposed in this paper, relying on artificial intelligence algorithms for the coordinated scheduling of concentrator tasks. The core task scheduling of acquisition system does not require the management of complete terminal tasks, and dramatically reduces the pressure of core task scheduling and efficiently completes the task of data acquisition. This paper gives specific implementation steps and detailed flowcharts, and through the analysis of examples, the effectiveness of the method is verified. The proposed method further expands the effective way for the intelligent acquisition of the system.
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Index Terms
- Method of Collaborative Scheduling of Acquisition Tasks Based on Artificial Intelligence
Index terms have been assigned to the content through auto-classification.
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Information
Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2021
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- Research-article
- Research
- Refereed limited
Funding Sources
- the Science and Technology Project of State Grid Corporation of China (Research on Key Technologies of Electricity Information Collection for Energy Internet)
Conference
ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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