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Hello, this topic came up during a customer training. The presentation of the individual assets in the Treemap view looks strange at first glance. In the screenshot, the assets "Area J" and "Area K" are displayed as long rectangles, although all assets have the same number of sub-elements: When the size of the display pane is changed it looks better: According to your KB entry the size of the rectangles is determined by its number of assets and may be changed by the API. Is there an example for this? Regards, Thorsten
Summary: I want to create a process variable monitoring dashboard to view the trends over the last day against various threshold values. Solution: To create the monitoring charts to be included in the dashboard, follow the methods described in this seeq.org post: Then follow the steps below to create your dashboard. Step 1. Create a new Organizer Topic. From the Seeq home screen, click the "New" drop down and select "Organizer Topic". Step 2. Use the "Insert Table" button to insert a table with an many row and columns as you would like charts in your dashboard. Step 3. Use the table formatting options (available by clicking into the cell in the table or highlighting multiple cells) to merge the top row to create a title row if desired. From the table formatting options, you can also change the background color of the cell. Step 4. Click into the cell that you want to insert your Seeq trend into and, with your cursor in the cell, use the Seeq Q logo to insert Seeq content. Alternatively, insert your content anywhere in your Topic and cut and paste the content into the correct cell in the table. Step 5. Repeat step 4 for each monitoring chart you want to view in your dashboard. Step 6. Create a custom date range to apply to the Seeq content in your dashboard. This example shows how to create a daily date range that reports from 6AM the previous day to 6AM the current day, with a daily auto-update frequency to ensure the correct dates are always displayed. Click the + icon in the Date Ranges panel to open a new custom date range window. Then click the + sign next to "Optionally choose a capsule within the time window to define the date range". Create a new periodic condition of Daily duration. Optionally shift the start time of the capsules to whatever you would like to see as the start time on your daily charts (in this case shifting by 6 hours from midnight = 6AM). Don't forget to click Execute! Select the capsule offset by 1 from the end to get the capsule going from 6AM yesterday to 6AM the current day. Click save when complete and all charts will adjust to the configured date range. To configure auto-updates, check the auto-update box and set the rate to 1 day. Step 7. Share your dashboard with your peers, either via presentation view or a PDF. Presentation View: PDF:
Summary: Many of our users monitor process variables on some periodic frequency and are interested in a quick visual way of noting when a process variable is outside some limits. Perhaps you have multiple tiers of limits indicating violations of operating envelopes or violations of operating limits, and are interested in creating a visualization like that shown below. Solution: Method 1: Boundaries Tool One method to do this involves using the boundaries tool. This tool is discussed in Step 3 of this seeq.org post, and results in a graphic like that shown below. Some frequently asked questions around the above method are: Is there a way to make the different levels of boundaries different colors? Is there a way to color the section outside of the limits rather than inside of the limits? Method 2: Scorecard Metrics in Trend View Step 1. Load the signal you are interested in monitoring as well as the limits into the display pane. The limits can be added directly from the historian, or if they do not exist in the historian they can be created using Seeq Formula. Step 2. Open a new Scorecard Metric from the tools panel, create a simple scorecard metric on your signal of interest, with no statistic. Click the "+" icon to optionally enter thresholds, and add the threshold color limits that you are interested in visualizing. Note that the thresholds input in the boundary tool can be constant (entering a numeric value) or variable, selecting a signal or scalar.