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Introduction to Performance Insights Dashboards
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Performance Insights Dashboards are a fantastic mechanism to provide clients with early insights into their building’s performance while Clockworks is still in the middle of the onboarding process. Performance Insights dashboards are enabled as soon as point mapping is complete, and data flow is established for a building. There are a total of four Performance Dashboard templates, each with a consistent layout but with different buildings systems presented:
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Section 1: Operating Statistics
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The first section of the dashboard summarizes the operating statistics of all active data points across the selected building(s). This section helps the user understand what is “connected” to Clockworks and explore statistics across all data points. |
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Section 2: Operating Schedules
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The second section displays the operating hours of the selected equipment. All widgets within this section utilized the same calculated point: HoursOn. This calculated point is produced by the relevant analysis (e.g. AHU Energy for Air Handlers) and provides an hourly value of the runtime duration (e.g. 0.75 is equivalent to the equipment running for 45/60 minutes in the hour). |
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Section 3: Operating Trends
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The third section displays the operating trends of selected data points. This section is designed to mimic some of the capabilities in Analysis Builder - where users can select specific equipment and view the 5-minute interval data throughout the time range. Users can initiate a cross-filter from the widgets on the left to view the corresponding operating trends for the selected equipment (screenshot below shows the result of selecting “Bldg4_AHU1” from the Top 25 HOTTEST AHU Supply Temps” widget). |
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Best Practices and Use Cases
Section 1: Sensor Issues
Flat Sensors
Cross filter the Points and Statistics table for a specific sensor point type in the Top 20 Point Types widget. (i.e. RoomAirTemp)
Apply a filter on the Range column of the Points and Statistics table by setting the Range “is equal to 0”
Identify any sensors which have a range = 0, which means the sensor value has not changed over the past day.
Examples: This applies to any sensor type which normally records a fluctuating value (temperature, humidity, airflow, CO2, etc.)
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Cross filter the Points and Statistics table for a specific sensor point type in the Top 20 Point Types widget. (i.e. RoomAirRH)
Sort the Max column of the Points and Statistics table from highest value to lowest value
Identify any sensors which have maximum values beyond expenses
Examples: RoomAirRH above 70%, RoomAirTemp above 85F, CO2 sensors above 2000ppm
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Cross filter the Points and Statistics table for a specific set point point type in the Top 20 Point Types widget. (i.e. RoomAirHeatingSetpt)
Apply a filter on the Range column of the Points and Statistics table by setting the Range “is equal to 0”
Identify any set points which have a range = 0, which means the set point has not set back over the past day.
Examples: This applies to space temperature set points
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