Method for ticket generation based on anomalies in a plurality of devices installed in facility

A computer system comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for ticket generation based on anomaly in at least one device of a plurality of devices installed in a facility, the method comprising:
• receiving, at an anomaly recognition engine, a first-set of data from a facility management system, wherein the facility management system is associated with a plurality of sensors, wherein the plurality of sensors are installed at the plurality of devices, wherein the plurality of devices are installed at different locations in the facility, wherein the first-set of data is received in real time;
• analyzing, at the anomaly recognition engine, the first-set of data associated with the plurality of devices, wherein the analysis of the first-set of data is done by using one or more machine learning algorithms;
• detecting, at the anomaly recognition engine, one or more anomalies in the at least one device of the plurality of devices based on the analysis of the first-set of data, wherein the detection is done in real time;
• generating, at a ticket generation module associated with the anomaly recognition engine, one or more tickets in an event for detection of the one or more anomalies in the at least one device of the plurality of devices associated with the facility, wherein the one or more tickets comprising one or more parameters associated with the one or more anomalies, wherein the one or more tickets are generated in real time;
• and
• prioritizing, at the ticket generation module, the one or more tickets based on severity of the one or more anomalies, wherein the severity of the one or more anomalies are predicted based on the one or more parameters.

A non-transitory computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method for ticket generation based on anomaly in at least one device of a plurality of devices installed in a facility, the method comprising:

• receiving, at a computing device, a first-set of data from a facility management system, wherein the facility management system is associated with a plurality of sensors, wherein the plurality of sensors are installed at the plurality of devices, wherein the plurality of devices are installed at different locations in the facility, wherein the first-set of data is received in real time;
• analysing, at the computing device, the first-set of data associated with the plurality of devices, wherein the analysis of the first-set of data is done by using one or more machine learning algorithms;
• detecting, at the computing device, one or more anomalies in the at least one device of the plurality of devices based on the analysis of the first-set of data, wherein the detection is done in real time;
• generating, at the computing device associated with the anomaly recognition engine, one or more tickets in an event for detection of the one or more anomalies in the at least one device of the plurality of devices associated with the facility, wherein the one or more tickets comprising one or more parameters associated with the one or more anomalies, wherein the one or more tickets are generated in real time;
• and
• prioritizing, at the computing device, the one or more tickets based on severity of the one or more anomalies, wherein the severity of the one or more anomalies are predicted based on the one or more parameters.