A coal mining-oriented energy consumption optimization and carbon emission management method and system

CN122243136APending Publication Date: 2026-06-19CCTEG COAL IND PLANNING INSTITUTE CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: CCTEG COAL IND PLANNING INSTITUTE CO LTD
Filing Date: 2026-05-21
Publication Date: 2026-06-19

AI Technical Summary

Technical Problem

In coal mining, sensor and communication failures caused by dynamic geological environments lead to severe pollution of real-time data streams. Existing technologies cannot maintain the reliable operation of automated scheduling systems, and manual scheduling results in inefficiency and high energy consumption, making it difficult to simultaneously ensure the synergistic goals of production safety, operational efficiency, and carbon emission optimization.

Method used

A virtual situation model of the mine is constructed. By acquiring multi-source heterogeneous operation reference information, equipment displacement characteristics are extracted, changes in production space layout are judged, equipment spatial topology and operation physical causal logic are redefined, state consistency verification and logic filling are performed, and energy consumption and carbon emission impact are estimated by receiving manual scheduling instructions.

Benefits of technology

To effectively address the issues of data gaps and inconsistencies in complex and dynamic geological environments, optimize energy consumption and carbon emissions of manual scheduling commands, and ensure the synergistic goals of production safety and operational efficiency.

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Abstract

This application provides a method and system for energy consumption optimization and carbon emission management in coal mining. Applied to the field of coal mining technology, it acquires multi-source heterogeneous operation reference information, extracts equipment displacement characteristics, and judges changes in production space layout. If changes occur, it redefines the equipment space topology and operational physical causal logic. Then, it performs state consistency verification on the multi-source heterogeneous operation reference information, identifies missing items in the real-time sensor data stream and fills them logically, constructs a virtual situation model reflecting the current operating state of the mine, and finally receives manual scheduling instructions and performs simulation calculations to output predicted parameters for energy consumption and carbon emission impact. It can effectively address the problem of data missingness and inconsistency in complex dynamic geological environments and has the beneficial effect of simultaneously ensuring the synergistic goals of production safety, operational efficiency, and carbon emission optimization.

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