Material Reduction Machine Productivity Tracking by Volume per Power
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Solution Overview
Problem
Operators of mobile processing machines like grinders and material separating machines face challenges in optimizing performance metrics due to the complexity of observing and adjusting machine parameters, as they largely rely on human control without real-time feedback on productivity.
Innovation Solution
A system that provides real-time display of productivity measure as a unit volume per unit consumption, calculated by an on-board controller using sensors to monitor material volume and power consumption, allowing operators to adjust settings for improved efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operators manually monitor and adjust machine parameters without real-time feedback, then device complexity remains low, but productivity optimization is difficult and time-consuming
Solution Approach 1:
The system implements real-time feedback by continuously monitoring machine parameters (power consumption, material volume, productivity) and displaying them to operators. This enables operators to see the immediate impact of their adjustments and optimize productivity dynamically without requiring complex automated control systems.
Solution Approach 2:
The controller acts as an intermediary between the machine components and the operator. It collects data from sensors, calculates productivity metrics, and presents simplified information on the display, reducing the cognitive load on operators while enabling informed decision-making for optimization.
2Productivity
If operators monitor all available data without real-time display, then device complexity remains low, but loss of information increases and productivity is reduced
Solution Approach 1:
The system extracts and highlights the most critical information - productivity metrics and their real-time changes - from the complex array of machine parameters. By taking out only the essential data and displaying it prominently, the system prevents information overload while ensuring productivity-critical information is always available.
Solution Approach 2:
Real-time display of productivity measures provides continuous feedback to operators about the machine's performance and the impact of their adjustments. This eliminates information loss by ensuring productivity data is continuously available and immediately actionable.
3Productivity
If multiple operators work the machine without standardized performance tracking, then ease of operation remains high, but productivity varies and optimization is difficult
Solution Approach 1:
The real-time productivity display provides a common reference for all operators working the machine. This standardized performance tracking enables operators to compare their performance and learn from each other while maintaining the simplicity of manual operation through intuitive display and control interfaces.
Data Source
AI summary
A method of operating a material reduction or separating machine includes operating the machine with power from a power system to produce an outlet stream of material. The volume of the outlet stream of material is monitored, as is consumption of the power system from the operation of the material reduction or separating machine. With an on-board controller of the material reduction or separating machine a productivity measure is calculated as a unit volume per unit consumption. The productivity measure is displayed on an operator's display during the operation of the material reduction or separating machine to produce the outlet stream of material.