Systems and methods for steady state detection
A method includes receiving samples of one or more monitored variables relating to building equipment, updating a statistical metric of the samples, determining whether the building equipment is operating in a steady state or operating in a transient state using the statistical metric of the samples, and adjusting an operation that uses the samples as an input based on whether the building equipment is operating in the steady state or operating in the transient state.
1. A method comprising:
receiving samples of one or more monitored variables relating to building equipment;
updating a statistical metric of the samples;
determining whether the building equipment is operating in a steady state or operating in a transient state using the statistical metric of the samples; and
adjusting an operation that uses the samples as an input based on whether the building equipment is operating in the steady state or operating in the transient state.
2. The method of claim 1 , wherein updating the statistical metric comprises updating a variance of the samples to reflect a new sample of the one or more monitored variables.
3. The method of claim 1 , wherein updating the statistical metric comprises updating a plurality of statistical metrics comprising a mean of the samples and a variance of the samples.
4. The method of claim 1 , wherein adjusting the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state comprises:
building a model for predicting performance of the building equipment using a first set of the samples associated with the steady state and excluding a second set of the samples associated with the transient state;
generating control decisions using the model; and
controlling the building equipment in accordance with the control decisions.
5. The method of claim 1 , wherein adjusting the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state comprises detecting or diagnosing a fault associated with the building equipment using a first set of the samples associated with the steady state and excluding a second set of the samples associated with the transient state.
6. The method of claim 1 , wherein adjusting the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state comprises suppressing an alarm associated with the building equipment when the building equipment is operating in the transient state.
7. The method of claim 1 , wherein the samples are associated with a plurality of time steps, the method further comprising generating a plurality of indicators indicating whether the plurality of time steps are associated with the transient state or the steady state.
8. The method of claim 1 , wherein receiving the samples comprises receiving the samples at a cloud-based computing system and the method is performed at least partially by the cloud-based computing system.
9. A system comprising:
one or more circuits configured to perform operations comprising:
receiving samples of one or more monitored variables relating to building equipment;
updating a statistical metric of the samples;
determining whether the building equipment is operating in a steady state or operating in a transient state using the statistical metric of the samples; and
adjusting an operation that uses the samples as an input based on whether the building equipment is operating in the steady state or operating in the transient state.
10. The system of claim 9 , wherein the system is a cloud-based computing system.
11. The system of claim 9 , wherein updating the statistical metric comprises updating a variance of the samples to reflect a new sample of the one or more monitored variables.
12. The system of claim 9 , wherein updating the statistical metric comprises updating a plurality of statistical metrics comprising a mean of the samples and a variance of the samples.
13. The system of claim 9 , wherein the one or more circuits are configured to adjust the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state by preventing a fault detection when the building equipment is operating in the transient state.
14. The system of claim 9 , wherein the samples are associated with a plurality of time steps and the operations further comprise generating a plurality of indicators indicating whether the plurality of time steps are associated with the transient state or the steady state.
15. The system of claim 9 , wherein the one or more circuits are configured adjust the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state by:
building a model for predicting performance of the building equipment using a first set of the samples associated with the steady state and excluding a second set of the samples associated with the transient state;
generating control decisions using the model; and
controlling the building equipment in accordance with the control decisions.
16. One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving samples of one or more monitored variables relating to building equipment;
updating a statistical metric of the samples;
determining whether the building equipment is operating in a steady state or operating in a transient state using the statistical metric of the samples; and
adjusting an operation that uses the samples as an input based on whether the building equipment is operating in the steady state or operating in the transient state.
17. The one or more non-transitory computer-readable media of claim 16 , wherein updating the statistical metric comprises updating a variance of the samples to reflect a new sample of the one or more monitored variables.
18. The one or more non-transitory computer-readable media of claim 16 , wherein updating the statistical metric comprises updating a plurality of statistical metrics comprising a mean of the samples and a variance of the samples.
19. The one or more non-transitory computer-readable media of claim 16 , wherein adjusting the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state comprises:
building a model for predicting performance of the building equipment using a first set of samples associated with the steady state and excluding a second set of the samples associated with the transient state;
generating control decisions using the model; and
controlling the building equipment in accordance with the control decisions.
20. The one or more non-transitory computer-readable media of claim 16 , wherein adjusting the operation that uses the samples as the input based on whether the building equipment is operating in the steady state or operating in the transient state comprises preventing a fault detection when the building equipment is operating in the transient state.