Systems and methods for detecting a drift state

Abstract

A non-transitory computer-readable storage medium having instructions stored thereon that cause one or more processors to collect first sensor data from a set of sensors deployed in a first location, generate a model using second sensor data collected during operation of a second location, evaluate the first sensor data from the first location using the model to detect a drift state associated with the first location, wherein the drift state represents an abnormal or unsafe event, and in response to detecting the drift state associated with the first location, transmit a notification.

What is claimed is: 
     
         1 . A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to:
 collect first sensor data from a set of sensors deployed in a first location;   generate a model using second sensor data collected during operation of a second location, the model including:
 a state transition matrix including one or more state transitions, wherein each of the one or more state transitions represents at least one occurrence of a transition of the second location between a first state and a second state; and 
 a state trigger matrix including trigger information corresponding to the one or more state transitions, wherein the trigger information is representative of at least one of (i) a duration of time spent by the second location in the first state or (ii) an event that triggered the transition of the second location between the first state and the second state; 
   evaluate the first sensor data from the first location using the model to detect a drift state associated with the first location, wherein the drift state represents an abnormal or unsafe event; and   in response to detecting the drift state associated with the first location, transmit a notification.   
     
     
         2 . The non-transitory computer-readable storage medium of  claim 1 , wherein the instructions further cause the one or more processors to produce a risk assessment of the first location based on an evaluation of the drift state against one or more risk-related rules. 
     
     
         3 . The non-transitory computer-readable storage medium of  claim 1 , wherein the instructions further cause the one or more processors to select, from a plurality of sensors, the set of sensors to deploy in the first location. 
     
     
         4 . The non-transitory computer-readable storage medium of  claim 3 , wherein the second location has a second plurality of characteristics and wherein selecting the set of sensors to deploy in the first location is based on comparing a first plurality of characteristics associated with the first location to the second plurality of characteristics associated with the second location. 
     
     
         5 . The non-transitory computer-readable storage medium of  claim 3 , wherein each of the plurality of sensors are configured to monitor an asset and wherein selecting the set of sensors to deploy in the first location includes comparing the asset associated with each of the plurality of sensors to one or more assets associated with the first location. 
     
     
         6 . The non-transitory computer-readable storage medium of  claim 1 , wherein the instructions further cause the one or more processors to generate a display for a graphical user interface (GUI) corresponding to the detected drift state. 
     
     
         7 . The non-transitory computer-readable storage medium of  claim 1 , wherein evaluating the first sensor data to detect the drift state includes continuously monitoring for the drift state over a period of time. 
     
     
         8 . The non-transitory computer-readable storage medium of  claim 1 , wherein the instructions further cause the one or more processors to:
 receive geographic location data for a plurality of third locations;   compare the geographic location data to a threshold distance associated with the first location to identify a third location within the threshold distance associated with the first location; and   transmit the notification to the identified third location.   
     
     
         9 . A system, comprising:
 a set of sensors deployed at a first location; and   processing circuitry configured to:
 collect first sensor data from the set of sensors; 
 generate a model using second sensor data collected during operation of a second location, the model including:
 a state transition matrix including one or more state transitions, wherein each of the one or more state transitions represents at least one occurrence of a transition of the second location between a first state and a second state; and 
 a state trigger matrix including trigger information corresponding to the one or more state transitions, wherein the trigger information represents at least one of (i) a duration of time spent by the second location in the first state or (ii) an event that triggered the transition of the second location between the first state and the second state; 
 
 evaluate the first sensor data from the first location using the model to detect a drift state associated with the first location, wherein the drift state represents an abnormal or unsafe event; and 
 in response to detecting the drift state associated with the first location, transmit a notification. 
   
     
     
         10 . The system of  claim 9 , wherein the processing circuitry is further configured to produce a risk assessment of the first location based on an evaluation of the drift state against one or more risk-related rules. 
     
     
         11 . The system of  claim 9 , wherein the processing circuitry is further configured to select, from a plurality of sensors, the set of sensors to deploy in the first location. 
     
     
         12 . The system of  claim 11 , wherein the second location has a second plurality of characteristics and wherein selecting the set of sensors to deploy in the first location is based on comparing a first plurality of characteristics associated with the first location to the second plurality of characteristics associated with the second location. 
     
     
         13 . The system of  claim 11 , wherein each of the plurality of sensors are configured to monitor an asset and wherein selecting the set of sensors to deploy in the first location includes comparing the asset associated with each of the plurality of sensors to one or more assets associated with the first location. 
     
     
         14 . The system of  claim 9 , wherein the processing circuitry is further configured to generate a display for a graphical user interface (GUI) corresponding to the detected drift state. 
     
     
         15 . The system of  claim 9 , wherein evaluating the first sensor data to detect the drift state includes continuously monitoring for the drift state over a period of time. 
     
     
         16 . The system of  claim 9 , wherein the processing circuitry is further configured to:
 receive geographic location data for a plurality of third locations;   compare the geographic location data to a threshold distance associated with the first location to identify a third location within the threshold distance associated with the first location; and   transmit the notification to the identified third location.   
     
     
         17 . A method for detecting an environmental condition, comprising:
 collecting first sensor data from a set of sensors deployed in a first location;   generating a model using second sensor data collected during operation of a second location, the model including:
 a state transition matrix including one or more state transitions, wherein each of the one or more state transitions represents at least one occurrence of a transition of the second location between a first state and a second state; and 
 a state trigger matrix including trigger information corresponding to the one or more state transitions, wherein the trigger information represents at least one of (i) a duration of time spent by the second location in the first state or (ii) an event that triggered the transition of the second location between the first state and the second state; 
   evaluating the first sensor data from the first location using the model to detect a drift state associated with the first location, wherein the drift state represents an abnormal or unsafe event; and   in response to detecting the drift state associated with the first location, transmitting a notification.   
     
     
         18 . The method of  claim 17 , further comprising producing a risk assessment of the first location based on an evaluation of the drift state against one or more risk-related rules. 
     
     
         19 . The method of  claim 18 , further comprising selecting, from a plurality of sensors, the set of sensors to deploy in the first location. 
     
     
         20 . The method of  claim 18 , wherein the second location has a second plurality of characteristics and wherein selecting the set of sensors to deploy in the first location is based on comparing a first plurality of characteristics associated with the first location to the second plurality of characteristics associated with the second location.