Systems and methods for analyzing building operations sensor data

Abstract

Systems and methods are disclosed for analyzing building sensor information and decomposing the information therein to a more manageable and more useful form. Certain embodiments integrate energy-based and spectral-based analysis methods with parameter sampling and uncertainty/sensitivity analysis to achieve a more comprehensive perspective of building behavior. The results of this analysis may be presented to a user via a plurality of visualizations and/or used to automatically adjust certain building operations. In certain embodiments, advanced spectral techniques, including Koopman-based operations, are employed to discern features from the collected building sensor data.

What is claimed is: 
     
         1 . A method for analyzing building sensor data, the method comprising:
 receiving building sensor data, the building sensor data comprising a plurality of values measured by a plurality of sensors;   determining phase and magnitude values associated with one or more sensors of the plurality of sensors based on a spectral analysis technique applied to the building sensor data; and   determining a time to activate or to deactivate an actuator based on at least one of the phase or magnitude values associated with the one or more sensors,   the method performed by a building energy management system comprising one or more computing devices.   
     
     
         2 . The method of  claim 1 , further comprising determining energy values associated with the one or more sensors based on an energy-based technique applied to the building sensor data. 
     
     
         3 . The method of  claim 2 , wherein determining a time to activate or to deactivate an actuator further comprises determining a time to activate or to deactivate an actuator based on at least one of the phase, magnitude, or energy values associated with the one or more sensors. 
     
     
         4 . The method of  claim 2 , further comprising generating a visualization based on at least one of the phase, magnitude, or energy values associated with the one or more sensors, the visualization comprising an overlay upon a building schematic, the overlay depicting at least one of the phase, magnitude, or energy values associated with the one or more sensors. 
     
     
         5 . The method of  claim 2 , wherein the energy-based technique comprises a Proper Orthogonal Decomposition. 
     
     
         6 . The method of  claim 1 , wherein the spectral analysis technique comprises a Koopman-based technique. 
     
     
         7 . The method of  claim 1 , wherein the building sensor data comprises data from at least one of a real-world building or a simulated model of a building. 
     
     
         8 . The method of  claim 1 , wherein the plurality of values comprise one of temperature values, humidity values, airflow values, pressure values, people occupancy values, plug load density values, or light intensity values. 
     
     
         9 . The method of  claim 1 , further comprising:
 identifying a final output based on at least one of the phase or magnitude values;   identifying a plurality of inputs affecting the final output based on the at least one of the phase or magnitude values; and   generating a graph for display, the graph comprising an edge between a first input in the plurality of inputs the final output, wherein a magnitude of the edge corresponds to an influence of the first input on the final output.   
     
     
         10 . An electronic apparatus for assessing building properties comprising:
 a memory configured to store a data set, the data set comprising building sensor data, the building sensor data comprising a plurality of values measured by a plurality of sensors; and   one or more processors,   the memory further configured to store instructions that, when executed by the one or more processors, implement a process comprising:
 determining phase and magnitude values associated with one or more sensors of the plurality of sensors based on a spectral analysis technique applied to the building sensor data, and 
 determining a time to activate or to deactivate an actuator based on at least one of the phase or magnitude values associated with the one or more sensors. 
   
     
     
         11 . The electronic apparatus of  claim 10 , wherein the memory is further configured to store instructions that, when executed by the one or more processors, implement a process comprising determining energy values associated with the one or more sensors based on an energy-based technique applied to the building sensor data. 
     
     
         12 . The electronic apparatus of  claim 11 , wherein the memory is further configured to store instructions that, when executed by the one or more processors, implement a process comprising determining a time to activate or to deactivate an actuator based on at least one of the phase, magnitude, or energy values associated with the one or more sensors. 
     
     
         13 . The electronic apparatus of  claim 11 , wherein the memory is further configured to store instructions that, when executed by the one or more processors, implement a process comprising generating a visualization based on at least one of the phase, magnitude, or energy values associated with the one or more sensors, the visualization comprising an overlay upon a building schematic, the overlay depicting at least one of the phase, magnitude, or energy values associated with the one or more sensors. 
     
     
         14 . The electronic apparatus of  claim 11 , wherein the energy-based technique comprises a Proper Orthogonal Decomposition. 
     
     
         15 . The electronic apparatus of  claim 10 , wherein the spectral analysis technique comprises a Koopman-based technique. 
     
     
         16 . The electronic apparatus of  claim 10 , wherein the plurality of values comprise one of temperature values, humidity values, airflow values, pressure values, people occupancy values, plug load density values, or light intensity values. 
     
     
         17 . A non-transitory computer storage comprising instructions that direct a computing system comprising one or more computing devices to perform a process that comprises:
 receiving building sensor data, the building sensor data comprising a plurality of values measured by a plurality of sensors;   determining phase and magnitude values associated with one or more sensors of the plurality of sensors based on a spectral analysis technique applied to the building sensor data; and   determining a time to activate or to deactivate an actuator based on at least one of the phase or magnitude values associated with the one or more sensors.   
     
     
         18 . The non-transitory computer storage of  claim 17 , wherein the instructions further direct the computing system to perform a process that comprises determining energy values associated with the one or more sensors based on an energy-based technique applied to the building sensor data. 
     
     
         19 . The non-transitory computer storage of  claim 18 , wherein the instructions further direct the computing system to perform a process that comprises determining a time to activate or to deactivate an actuator based on at least one of the phase, magnitude, or energy values associated with the one or more sensors. 
     
     
         20 . The non-transitory computer storage of  claim 18 , wherein the instructions further direct the computing system to perform a process that comprises generating a visualization based on at least one of the phase, magnitude, or energy values associated with the one or more sensors, the visualization comprising an overlay upon a building schematic, the overlay depicting at least one of the phase, magnitude, or energy values associated with the one or more sensors.