Co-pilot in Resource Nodes
Last updated
Last updated
Welcome to the "Co-Pilot in Resource Nodes" section. Here, you will learn how to use Emvide’s AI Co-Pilot to enhance the accuracy and efficiency of your resource node analyses. This guide will demonstrate how to leverage both the Co-Pilot Search and Co-Pilot Compose functionalities to find environmental indicators and decompose complex resources effectively.
In this video, you will learn how to:
Launch the resource node wizard.
Use Co-Pilot Search to find the best environmental indicators for your resources.
Utilize Co-Pilot Compose to break down complex resources into their component parts.
Launching the Resource Node Wizard:
Begin by creating a new product in the Emvide platform. For demonstration purposes, we’ve named this product "Emvide Co-Pilot Feature Functionality" with one resource and one process node on the canvas.
To open the resource node wizard, hold the Control key and click on the resource node. This action will launch the wizard for the selected resource.
Using Co-Pilot Search:
Purpose: Co-Pilot Search uses semantic search to identify the best environmental indicators for your resource.
Example: Suppose you need to find an environmental indicator for aluminium. Enter "aluminium" and a basic description like "aluminium ingot."
Executing the Search: Click on the Co-Pilot Search button. The system will return a list of top matches based on your search terms.
Reviewing Results: Select the best match, such as "aluminium production primary ingot" from Canada. The system will provide the description and the relevant greenhouse gas (GHG) factor.
Input Data: If your product requires 5 kilograms of aluminium, input this amount to calculate the CO2 emissions. Save the data if it meets your needs.
Using Co-Pilot Compose:
Purpose: Co-Pilot Compose breaks down complex resources into their component parts to provide a comprehensive environmental impact analysis.
Example: For a more complex resource like a bicycle wheel, enter "wheel" and a description like "typical wheel for a bicycle."
Setting Units: Input the unit of measurement (e.g., 1 wheel) and the number of units.
Executing the Composition: Click on the Co-Pilot Compose button. The AI will decompose the wheel into its constituent materials, such as aluminium alloy rims, rubber tyres, steel spokes, and brass spoke nipples, and provide the associated CO2 output.
Reviewing and Adjusting Results:
Decomposition Assumptions: Review the assumptions made by the AI, including typical materials and their quantities. For instance, the AI might assume a typical weight for a bicycle wheel and include various components.
Adjustments: If needed, refine the input description to guide the AI more accurately. The more detailed your description, the more precise the decomposition will be.
Saving Results: After reviewing the decomposed materials and their environmental impacts, save the data to incorporate it into your LCA.
Using the Co-Pilot within resource nodes allows you to:
Quickly find accurate environmental indicators for your materials.
Decompose complex resources into detailed components for thorough analysis.
Save time and improve the accuracy of your LCA results.
By leveraging the Co-Pilot Search and Compose features, you can enhance your resource node analyses and achieve more reliable LCA outcomes. Remember, the detail in your input descriptions significantly influences the accuracy of the AI’s output.
Explore the other functionalities of Co-Pilot within the Emvide platform by following the links below:
This page provides a comprehensive guide to using the Co-Pilot in resource nodes, helping you understand and utilise the AI capabilities to improve your lifecycle assessments.