Mine Reconciliation Platform for Automated Model-Block Matching
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Solution Overview
Problem
The manual reconciliation process in mining is time-consuming, prone to human errors, and lacks digitization, making it difficult to accurately determine the impact of various models and assist in real-time decision making for optimizing mining operations.
Innovation Solution
An automated data platform using geologic and mine data to digitize and automate reconciliation, associating shovel load locations with forecast and district model blocks, matching and aggregating data, and creating reconciliation reports to compare model block characteristics with target block characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual reconciliation process is used, then employees can enter and organize data, but the process becomes time-consuming and prone to human errors
Solution Approach 1:
The patent replaces the manual mechanical data entry process with an automated computer-based system that retrieves data from databases and generates reconciliation reports automatically, eliminating human error and significantly reducing processing time
Solution Approach 2:
The system performs self-service by automatically retrieving data from multiple sources, performing calculations, and generating reports without requiring manual employee intervention, thus resolving the contradiction between reliability and time consumption
2Productivity
If manual data entry is performed for over 2 hours a day, then data can be captured and organized, but productivity is reduced and human errors increase
Solution Approach 1:
The system replaces manual data entry mechanics with automated computer-based data retrieval and processing, eliminating human error while increasing productivity through rapid automated operations
Solution Approach 2:
The automated system enables continuous data processing without the interruptions and errors inherent in manual entry, maintaining high productivity and reliability simultaneously through uninterrupted automated operations
3Adaptability or versatility
If multiple excel files and manual processes are used, then flexibility in handling different data sets is maintained, but the process becomes complex and difficult to manage
Solution Approach 1:
The patent implements a universal automated system that can handle multiple data sets and reconciliation scenarios through a single integrated platform, maintaining adaptability while reducing complexity by eliminating the need for multiple separate excel files and manual processes
Data Source
AI summary
The system comprises an automated data platform for reconciliation. The system may use geologic data and mine data to digitize and automate reconciliation, to determine the impact of various models, to assist in real time decision making for adjusting mine operations and/or to improve mining production. The method comprises associating shovel load locations with a forecast model block and a district model block; selecting a plurality of shovel loads that are associated with the forecast model block and the district model block, based on the shovel load locations; matching the plurality of shovel loads with the truck load; aggregating the plurality of shovel loads into the truck load; comparing forecast model block characteristics of the forecast model block and district model block characteristics of the district model block with target block characteristics of a target block; and creating a reconciliation report of the target block characteristics of the target block based on the forecast model block characteristics and the district model block characteristics.