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Optimization Design of an Industrial Carbon Emission Intelligent Monitoring System for Carbon Neutrality

Author

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  • Fang Zhou

    (Shandong Water Conservancy Vocational College, China)

  • Jianheng Ji

    (Shandong Water Conservancy Vocational College, China)

  • Shuping Wang

    (Shandong Water Conservancy Vocational College, China)

  • Wei Zhao

    (Neusoft Education Technology Group, China)

Abstract

This study aimed to optimize industrial carbon emission monitoring systems for enhanced accuracy and real-time responsiveness. It proposed an intelligent system that innovatively sinks multi-source carbon accumulation logic into the database layer (replacing traditional application-layer processing), integrated with dynamic factor version control and long short-term memory prediction models. These innovations yielded significant performance gains. Under thousands of concurrent users, key interface response time dropped from 7,465 ms to 40 ms (99.5% reduction), while carbon calculation error rates remained below 0.1%—far exceeding the International Standards Organization 14064 standard's 1% threshold. The proposed solution not only provides industry with efficient carbon management tools but also enables a paradigm shift from post-event statistics to real-time intelligent decision making, advancing global carbon neutrality goals.

Suggested Citation

  • Fang Zhou & Jianheng Ji & Shuping Wang & Wei Zhao, 2026. "Optimization Design of an Industrial Carbon Emission Intelligent Monitoring System for Carbon Neutrality," International Journal of Information System Modeling and Design (IJISMD), IGI Global Scientific Publishing, vol. 17(1), pages 1-28, January.
    • Handle: RePEc:igg:jismd0:v:17:y:2026:i:1:p:1-28
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