BUILDING AUTOMATION SYSTEM WITH REMOTE ADVISORY SERVICES
One embodiment of the present disclosure is a system. The system includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include: receiving operating data for one or more pieces of building equipment, determining one or more building faults for the one or more pieces of building equipment based on the operating data, using a fault categorization model to categorize the one or more building faults as remote fix faults or on-site fix faults based on the operating data, and performing an automated action based on a categorization of the one or more building faults as remote fix faults or on-site fix faults.
1 . A system comprising:
one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving operating data for one or more pieces of building equipment;
determining one or more building faults for the one or more pieces of building equipment based on the operating data;
using a fault categorization model to categorize the one or more building faults as remote fix faults or on-site fix faults based on the operating data; and
performing an automated action based on a categorization of the one or more building faults as remote fix faults or on-site fix faults.
2 . The system of claim 1 , the operations further comprising generating the fault categorization model based on one or more rules configured to categorize the building faults.
3 . The system of claim 1 , wherein performing the automated action comprises displaying an indication of the one or more building faults and an indication of whether the one or more building faults is categorized as a remote fix fault or on-site fix fault
4 . The system of claim 1 , wherein performing the automated action comprises automatically repairing the one or more building faults in response to categorizing the one or more building faults as remote fix faults.
5 . The system of claim 1 , wherein the fault categorization model is a machine learning model, the operations further comprising training the machine learning model using a set of training data indicating historical building faults and historical corrective actions taken to resolve the historical building faults.
6 . The system of claim 5 , wherein the training data comprises feedback from a user indicating the historical corrective actions and whether the historical corrective actions were successful in resolving the corresponding historical building faults.
7 . The system of claim 5 , wherein the training data comprises an updated operating data indicating the historical corrective actions and whether the historical corrective actions were successful in resolving the corresponding historical building faults.
8 . The system of claim 1 , the operations further comprising:
determining that the one or more building faults have been resolved; and
in response to determining that the one or more building faults have been resolved, display a corrective action taken to resolve the one or more building faults on a user device.
9 . The system of claim 8 , wherein the determining that the one or more building faults have been resolved is based on at least one of a user feedback and the updated operating data for the one or more pieces of building equipment.
10 . A method comprising:
receiving, by one or more processors, operating data for one or more pieces of building equipment;
determining, by one or more processors, one or more building faults for the one or more pieces of building equipment based on the operating data;
using, by one or more processors, a fault categorization model to categorize the one or more building faults as remote fix faults or on-site fix faults based on the operating data; and
performing, by the one or more processors, an automated action based on a categorization of the one or more building faults as remote fix faults or on-site fix faults.
11 . The method of claim 10 , further comprising generating the fault categorization model based on one or more rules configured to categorize the building faults.
12 . The method of claim 10 , wherein performing the automated action comprises displaying an indication of the one or more building faults and an indication of whether the one or more building faults is categorized as a remote fix fault or on-site fix fault.
13 . The method of claim 10 , wherein performing the automated action comprises automatically repairing the one or more building faults in response to categorizing the one or more building faults as remote fix faults.
14 . The method of claim 10 , wherein the fault categorization model is a machine learning model, the method further comprising training the machine learning model using a set of training data indicating historical building faults and historical corrective actions taken to resolve the historical building faults
15 . The method of claim 14 , wherein the training data comprises feedback from a user indicating the historical corrective actions and whether the historical corrective actions were successful in resolving the corresponding historical building faults.
16 . The method of claim 14 , wherein the training data comprises an updated operating data indicating the historical corrective actions and whether the historical corrective actions were successful in resolving the corresponding historical building faults
17 . The method of claim 10 , wherein the method further comprises:
determining, by the one or more processors, a fault resolution for the one or more building faults; and
displaying, by the one or more processors, the fault resolution on a user device.
18 . The method of claim 17 , wherein the determining that the one or more building faults has been resolved is based on at least one of a user feedback and the updated operating data for the one or more pieces of building equipment.
19 . A non-transitory computer-readable media comprising computer-readable instructions stored thereon that when executed by a processor cause the processor to perform operations comprising:
receiving operating data for one or more pieces of building equipment;
determining one or more building faults for the one or more pieces of building equipment based on the operating data;
using a fault categorization model to categorize the one or more building faults as remote fix faults or on-site fix faults based on the operating data; and
performing an automated action based on a categorization of the one or more building faults as remote fix faults or on-site fix faults.
20 . The non-transitory computer-readable media of claim 19 , the operations further comprising generating the fault categorization model based on one or more rules configured to categorize the building faults.