Ore extraction control method and system

Through a multi-level collaboration mechanism, combined with the collaborative work of the end-side, edge-end and cloud-end, the problems of inefficiency, delay and accuracy in ore mining are solved, efficient data processing and precise decision-making are achieved, and the intelligence level and resource utilization of ore mining are improved.

CN119664347APending Publication Date: 2025-03-21ZHEJIANG WUJING MACHINE MFG
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Patent Information

Application Number
CN202411936668.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

There are problems of inefficiency, latency and accuracy in ore mining, especially in the environment of limited network bandwidth and computing resources of mines, which are difficult to meet the needs of real-time and high-precision.

Method used

The ore mining control method adopts a multi-level collaborative mechanism, and the data is quickly collected and initially processed through the end-side equipment, the edge and end nodes perform in-depth analysis, the cloud-based large model completes overall strategy optimization, and coordinates through low-latency communication protocols, dynamically adjusts task allocation and model updates.

Benefits of technology

It realizes efficient data processing, precise decision-making and dynamic control during ore mining, improves the level of intelligence, improves resource utilization, and solves the problems of inefficiency, delay and insufficient accuracy.

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Abstract

The invention discloses an ore extraction control method and system, and aims to solve the problems of low efficiency, delay and insufficient accuracy in the ore extraction process. The method comprises the steps that an end side collects and analyzes ore data; performing deep analysis on the data uploaded by the end-to-end side to generate an optimization control instruction; the cloud carries out deep analysis and optimization on ore characteristics and a production chain; according to ore characteristics and real-time feedback, production equipment parameters are adjusted, the cloud end trains and optimizes a large model based on production data, and the optimized parameters are updated to the edge end and the end side; through a collaboration mechanism, distributing a global optimization task to a cloud end, distributing a quick response task to an edge end, distributing a low delay task to an end side, and dynamically adjusting task distribution; the invention further comprises a corresponding system. Through a multi-level cooperation mechanism, efficient data processing, accurate decision and dynamic control in the mining process are achieved, the intelligent level of ore mining is improved, and the resource utilization rate is increased.
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