The Downtime built-in algorithm provides helpful insight data which can be used to analyze the machine downtime which refers to the time a machine or equipment is not operational or unable to perform due to various reasons such as maintenance, repairs, malfunction, or other issues.
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 Downtime is computed as:
DOWNTIME = PLANNED_DOWNTIME + UNPLANNED_DOWNTIME
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 Downtime 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 | |
---|---|
Downtime | The daily total downtime in milliseconds due to PLANNED and UNPLANNED stoppages. Type: LONG | Insight Properties: SUM LAST_30_DAYS, SUM LIFETIME |
Downtime Percentage | The daily total downtime percentage due to PLANNED and UNPLANNED stoppages. Type: FLOAT | Insight Properties: AVG LAST_30_DAYS, AVG LIFETIME |
Planned Downtime | The daily downtime in milliseconds due to a planned down (e.g. Maintenance). Type: LONG | Insight Properties: SUM LAST_30_DAYS, SUM LIFETIME |
Planned Downtime Percentage | The daily downtime percentage due to a planned down (e.g. Maintenance). Type: FLOAT | Insight Properties: AVG LAST_30_DAYS, AVG LIFETIME |
Unplanned Downtime | The daily downtime in milliseconds due to an unplanned down (e.g. Failure). Type: LONG | Insight Properties: SUM LAST_30_DAYS, SUM LIFETIME |
Unplanned Downtime Percentage | The daily downtime percentage due to an unplanned down (e.g. Failure). 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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