Mine Site Task Management Engine for Dynamic Short-Term Planning
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Solution Overview
Problem
Current mining management systems lack intuitive and strategic tools for dynamic short-term planning, making it difficult to effectively align short-term operations with longer-term plans, especially in response to commodity prices and delivery schedules.
Innovation Solution
The implementation of specialized individual operator interfaces and a management engine system that performs short-interval control processing, using forecasting and active work engines to dynamically manage tasks, display production rates, and compare current versus planned states, enabling real-time conformance to tasks and unplanned activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional mining management systems are used, then long-term planning can be maintained, but short-term dynamic task management and real-time operational control are insufficient
Solution Approach 1:
The management system is segmented into distinct functional modules: a planning module for long-term planning, a short-term planning module for dynamic task management, and an execution module for real-time control. Each module operates independently but integrates with others, allowing specialized optimization without overwhelming system complexity.
Solution Approach 2:
The system implements dynamic short-term plans that can be adjusted in real-time based on operational conditions, commodity prices, and delivery schedules. The short-term planning module continuously updates task assignments and resource allocation, enabling adaptability while maintaining manageable complexity through automated decision-making algorithms.
2Productivity
If detailed short-term plans are implemented, then operational efficiency improves, but the ability to respond to unplanned activities and changes decreases
Solution Approach 1:
The system implements periodic review and adjustment cycles where short-term plans are evaluated against actual performance, and unplanned activities are incorporated through scheduled planning intervals. This allows maintaining detailed planning for efficiency while periodically adapting to changes and unexpected events.
Solution Approach 2:
The execution module continuously monitors operational status and feeds information back to the short-term planning module. When unplanned activities occur or deviations are detected, the feedback mechanism triggers plan adjustments, maintaining both operational efficiency through detailed planning and adaptability through continuous monitoring and revision.
3Measurement precision
If multiple specialized operator interfaces are implemented, then task management precision improves, but system complexity and difficulty of operation increase
Solution Approach 1:
The system implements a unified operator interface that provides access to all specialized functions (task management, monitoring, planning, execution) through a single integrated platform. This multi-functional interface consolidates what would otherwise require multiple separate systems, maintaining measurement precision while improving ease of operation through centralized access and consistent user experience.
Solution Approach 2:
The user interface acts as an intermediary layer between the complex backend systems and operators. It translates complex data and control functions into intuitive visual displays and simple interactions, allowing precise task conformance monitoring without requiring operators to navigate complex system architecture directly.
4Productivity
If real-time monitoring and control are implemented, then production rate optimization improves, but computational requirements and system resource consumption increase
Solution Approach 1:
The system implements partial real-time monitoring by focusing computational resources on critical parameters and tasks that most impact production rates, rather than monitoring all system aspects at maximum detail. This selective approach optimizes production through real-time control of key variables while reducing overall computational resource consumption.
Solution Approach 2:
The execution module autonomously makes real-time control decisions based on pre-established rules and algorithms, minimizing the need for continuous high-level computational processing. The system serves itself by automatically adjusting operational parameters within authorized ranges, reducing computational burden while maintaining production rate optimization.
Data Source
AI summary
Systems, methods, and computer-program products can perform task-based management of a mine site. The systems, methods, and computer-program products can generate one of a specialized management operator interface or a specialized active work operator interface, for selective display on a display device; output, on the display device, the one of the specialized management operator interface or the specialized active work operator interface; receive an input to the one of the specialized management operator interface or the specialized active work operator interface; and responsive to the input to the one the specialized management operator interface or the specialized active work operator interface, dynamically vary visual indicia on the one the specialized management operator interface or the specialized active work operator interface based on processing of the input by one of a forecasting engine or an active work engine, respectively.