The IsaMill P80 Virtual Sensor 2.1 offers significant additional monitoring and provides real-time visibility of the IsaMill discharge PSD. The P80 virtual sensor allows for real-time monitoring and decision making of the particle size distribution during the grinding process. By maintaining the desired P80 target, it helps optimize grinding efficiency and maximize the liberation of valuable minerals from ore.
A list of benefits for the user:
Improved process transparency for the Process Engineer/Metallurgist and Operator
The P80 virtual sensor ensures the production of high-quality concentrates and final product.
The P80 virtual sensor helps prevent overgrinding by providing feedback to adjust the grinding process and maintain the target P80 size.
The P80 virtual sensor ensures that the particles are sufficiently ground to meet the target size, minimizing undergrinding.
Improved process control through the P80 virtual sensor can lead to reduced operating costs, including lower energy consumption and decreased reagent usage
To access the Virtual Sensor, follow the steps below:
Step 1: Login to the brains.app site.
Step 2: Click on the dashboard icon to access the list of dashboard available on the site. Select the IsaMill P80 dashboard and use the time picker to select the period of interest.
Step 3: After selecting the dashboard, you will find a time graph showing IsaMill Disc IsaMill P80 virtual sensor.
Components of a P80 Time Graph:
Time Axis:
The horizontal axis represents time, typically in increments (e.g., minutes, hours, days, or even months, depending on the scale of the process).
P80 Axis:
The vertical axis represents the P80 values.
Data Points or Curve:
Each data point or point on the curve represents a specific P80 value at a particular point in time.
The curve, if applicable, connects the data points and provides a visual representation of how P80 changes continuously over time.
Trends and Patterns:
Observing the graph allows you to identify trends or patterns in P80 variations over time. This might include upward or downward trends, cyclic patterns, or sudden changes.
Events or Anomalies:
Events or anomalies in the process, such as maintenance activities, process adjustments, or unusual operating conditions, may be marked on the graph. These can help correlate changes in P80 with specific events.
Interpretation of a P80 Time Graph:
Stability:
A stable, consistent P80 over time suggests a well-controlled and predictable process.
Trends:
Upward or downward trends in P80 may indicate changes in ore feed characteristics, grinding efficiency, or other factors influencing particle size distribution.
Cyclic Patterns:
Cyclic patterns might reflect periodic variations in the ore or the operation of specific equipment in the grinding circuit.
Spikes or Drops:
Sudden spikes or drops in P80 may signify events such as changes in ore composition, equipment malfunctions, or adjustments in the grinding circuit.
Correlation with Other Parameters:
Correlating P80 trends with other relevant process parameters, such as mill speed, feed rate, or power consumption, can provide insights into the factors influencing particle size distribution.
Feedback for Optimization:
The graph serves as a valuable tool for providing feedback to operators and engineers. It helps in identifying opportunities for process optimization and efficiency improvements.