Before you begin
Asset Risk Predictor must be purchased separately from a Fiix representative. To learn more, see Asset Risk Predictor FAQ.
Once you've purchased Asset Risk Predictor, we'll start setting it up for you. Although we'll need some information from you to complete the setup, this work will be completed by a Fiix representative.
This article provides a high-level overview of the setup steps we complete:
- Step 1: Enable the feature
- Step 2: Gather information
- Step 3: Create assets and sensors in CMMS
- Step 4: Configure data collection tool
- Step 5: Map assets
- Step 6: Automated training
- Step 7: Enable access to Asset Risk Predictor
If necessary, you can also customize your risk levels. For example, you could change the definitions so that any scores above 600 are considered high risk. To learn more, see Change risk level definitions for Asset Risk Predictor.
After initial setup is complete, you can still add or change the sensors you include in Asset Risk Predictor. Once you provide us with the information for the new assets and/or sensors, we'll add them using a similar process to the one outlined below. After 7 days, you'll start to receive risk data for the new assets and sensors.
Note
The number of assets and sensors you can add will depend on which plan you've purchased. To add or change the assets and sensors in Asset Risk Predictor, contact your Fiix representative.
Step 1: Enable the feature
After you purchase Asset Risk Predictor, the first thing we do is enable the feature in your account. This step will be completed by a Fiix representative.
Note
As part of this setup, we need to create a temporary admin user account in your CMMS. Your Fiix representative will provide more information.
Step 2: Gather information
To complete the rest of the setup, we'll need to collect some information from you about the assets and sensors you want to include, as well as your programmable logic controller (PLC) configuration.
A Fiix representative send you a spreadsheet to fill in with the following information:
- Type (brand) of PLC
- PLC IP address
- Which data collection tool you want to use
- The assets you want to include in Asset Risk Predictor
For the sensor inputs, the template also includes fields for the following information:
Column | Description |
---|---|
Tag Name | A variable name for where the data is stored in the PLC. |
Description | A short description of each tag, which allows us to differentiate between tags that provide a sensor value and ones indicate whether the machine is running. |
pointType | The sensor's data type. |
Step 3: Create assets and sensors in CMMS
We will use the information you provided in step 2 to create the necessary assets and sensors in your CMMS. Each sensor will be added as a child of the asset it's connected to:
In the example above, assets A826 to A830 are sensors connected to the Pallet Conveyor.
Step 4: Configure data collection tool
We'll use the PLC and tag information you provided to connect with your preferred data collection tool. Once configuration is complete, we will wait 24 hours for data to start flowing before we proceed to the next step.
Step 5: Map assets
Using our API, we map the data from your preferred data collection tool (configured in step 4) to the assets in your CMMS (configured in step 3). This allows Asset Risk Predictor to display risk data for the correct assets.
Step 6: Automated training
Once the mappings are configured, it takes 7 days to train our algorithms so they can correctly identify risks for your assets. This step is automated and does not require any action from you or your Fiix representative.
On day 8, you can expect to receive your first set of predictions in our dashboards. To learn more, see Asset Risk Prediction Overview dashboard and Asset Risk Predictor dashboard.
Step 7: Enable access to Asset Risk Predictor
Your Fiix representative will ask you for a list of users who need access to Asset Risk Predictor so that we can enable access for them. The number of users you can enable access for depends on which plan you purchased.