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Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm

  • Conference paper
  • First Online:
Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022) (ICATCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 170))

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Abstract

Carbon energy management has become a factor restricting the progress of informatization of coal enterprises. How to improve the safety, reliability and availability of coal energy management system and reduce energy cost has become a key issue. The purpose of this paper is to study the coal energy management estimation system based on artificial intelligence algorithm. On the basis of artificial intelligence algorithm, this paper studies the digital management of coal yard, the intelligent, informatization and hierarchical interactive management of the whole process of large fuel. According to the characteristics of thermal power plant enterprises, the comprehensive evaluation index system of the coal yard intelligent management system is determined. Aiming at the special working environment of coal mines, this paper deeply analyzes the principles of current sensor technology, electronic technology and communication technology, as well as the relevant specifications and design requirements of the coal intelligent monitoring system, and designs a low-cost and cost-effective coal energy management estimation system. Experimental research shows that the number of logical disk reads for unoptimized query statements in this system has reached more than 1700 times, while the optimized query statement queries are only read 154 times, which fully reflects the superior performance of the system and greatly improves query performance.

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Authors and Affiliations

  1. School of Management, Tianjin University of Technology, Tianjin, China

    Yi Zheng

Authors
  1. Yi Zheng
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Correspondence to Yi Zheng .

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Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. School of Computer Engineering and Sciences, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

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Zheng, Y. (2023). Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm. In: Abawajy, J.H., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022). ICATCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-031-29097-8_13

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