The Uptime built-in algorithm provides helpful insight data which can be used to analyze the machine uptime which refers to the time a machine or equipment is operational.
This algorithm can be used in Thing Definition Insight Metrics and provides a set of outputs you can find described here below.
The algorithm computation is based on the Standard System Status, which can be configured in the Thing Definition, by mapping machine statuses to standard statuses (e.g. HEATING → WORKING).
The Uptime is computed as:
UPTIME = IDLE_TIME + WORKING_TIME
For more details about the Downtime topic, you can explore the Servitly Academy.
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Insight Configuration
To use this Algorithm, you need to:- Go to the Insight / Insight Metrics page.
- Select the Thing Definitions tab.
- Select the Thing Definition where to create the insight metric.
- Click the Add Metric button.
- Select the Uptime algorithm.
- Configure the Algorithm required inputs.
- Select the output you want to compute.
Here is the list of inputs required by this Algorithm.
| INPUTS | |
|---|---|
| Standard System Status | The standard system status (DOWN_UNPLANNED, DOWN_PLANNED, WORKING, IDLE, OFFLINE). Type: STANDARD_SYSTEM_STATUS | Mandatory |
Here is the list of outputs provided by this Algorithm.
| OUTPUTS | |
|---|---|
| Uptime | The daily uptime in milliseconds. Type: LONG |
| Uptime Percentage | The daily uptime percentage. Type: FLOAT | Insight Properties: AVG LAST_30_DAYS, AVG LIFETIME |
| Idle Time | The daily idle time in milliseconds. Type: LONG | Insight Properties: SUM LAST_30_DAYS, SUM LIFETIME |
| Idle Time Percentage | The daily idle time percentage. Type: FLOAT | Insight Properties: AVG LAST_30_DAYS, AVG LIFETIME |
Displaying Insight Values
You can use any widget supporting metric data loading, for instance:
- Value: to display a single value, also aggregated on a period.
- Benchmark: to compare your machine with similar ones.
- Time Series Chart: to display the trend on a period.
- Bar Chart: to display aggregated data through statistics.
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