US2023394052A1PendingUtilityA1

Building management system with declarative views of timeseries data

Assignee: JOHNSON CONTROLS TECH COPriority: Feb 10, 2017Filed: Jul 31, 2023Published: Dec 7, 2023
Est. expiryFeb 10, 2037(~10.5 yrs left)· nominal 20-yr term from priority
G06F 16/2477G06F 16/22G06F 16/9024G05D 23/1931G05B 15/02G06F 16/2322G05B 2219/2614G05B 2219/2642G05D 23/1917
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Claims

Abstract

A building management system (BMS) includes building equipment configured to provide raw data samples of one or more data points in the BMS. The BMS further includes a data collector configured to collect raw data samples from the building equipment and generate one or more raw data timeseries comprising a plurality of the raw data samples. The BMS also includes a timeseries processing engine. The timeseries processing engine is configured to identify one or more timeseries processing workflows that apply to the raw data timeseries, each of the workflows comprising a predefined sequence of timeseries processing operation. The timeseries processing engine is further configured to process the raw data timeseries using the identified timeseries processing workflows to generate one or more derived data timeseries. The BMS further includes a timeseries storage interface configured to store the raw data timeseries and the derived data timeseries in a timeseries database.

Claims

exact text as granted — not AI-modified
1 - 20 . (canceled) 
     
     
         21 . A building 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:
 receive a plurality of timeseries processing workflows that process a plurality of raw data timeseries, the plurality of timeseries processing workflows comprising sequences of timeseries processing operations; 
 generate a plurality of graphs, the plurality of graphs corresponding to the plurality of timeseries processing workflows and representing the sequences of timeseries processing operations, wherein the plurality of graphs include blocks representing the sequences of timeseries processing operations; 
 receive user input comprising an adjustment to a block of the blocks of a graph of the plurality of graphs; 
 apply the adjustment to a timeseries processing workflow that corresponds to the graph; and 
 process the raw data timeseries using the timeseries processing workflow to generate a derived data timeseries. 
   
     
     
         22 . The building system of  claim 21 , wherein the sequences of timeseries processing operations comprise a user defined fault rule that indicates whether one or more values of raw data samples representing a physical building condition are fault values;
 wherein the instructions cause the one or more processors to process the raw data timeseries using the timeseries processing workflows to generate one or more fault timeseries, the one or more fault timeseries being generated in response to a determination, based on the user defined fault rule, that the one or more values of the raw data samples representing the physical building condition are the fault values.   
     
     
         23 . The building system of  claim 21 , wherein the instructions cause the one or more processors to optimize the timeseries processing workflows by combining two or more individual timeseries processing operations in a single workflow into a combined timeseries processing operation. 
     
     
         24 . The building system of  claim 21 , wherein the instructions cause the one or more processors to optimize the timeseries processing workflows by:
 identifying multiple timeseries processing workflows that require one or more shared input timeseries; and   combining the identified timeseries processing workflows into a single timeseries processing workflow.   
     
     
         25 . The building system of  claim 21 , wherein the instructions cause the one or more processors to generate the derived data timeseries prior to a request for the derived data timeseries. 
     
     
         26 . The building system of  claim 21 , wherein the blocks comprise:
 one or more input blocks representing one or more input timeseries to which a corresponding workflow applies;   one or more functional blocks representing the sequences of timeseries processing operations in the corresponding workflow; and   one or more output blocks representing one or more derived data timeseries generated by applying the sequences of timeseries processing operations to the one or more input timeseries.   
     
     
         27 . The building system of  claim 26 , wherein the instructions cause the one or more processors to:
 receive the user input, the user input comprising the adjustment to at least one of the one or more input blocks, the one or more functional blocks, or the one or more output blocks;   determine a change to the corresponding workflow based on the user input; and   automatically apply the change to the corresponding workflow in response to receiving the user input.   
     
     
         28 . The building system of  claim 21 , wherein the timeseries processing workflow comprises:
 an indication of one or more input timeseries to which the timeseries processing workflow applies;   a particular sequence of timeseries processing operations; and   an indication of one or more derived data timeseries generated by applying the particular sequence of timeseries processing operations to the one or more input timeseries.   
     
     
         29 . The building system of  claim 28 , wherein:
 a first sequence of timeseries processing operations is a dynamically defined sequence of timeseries processing operations; and   a second sequence of timeseries processing operations is a predefined sequence of timeseries processing operations.   
     
     
         30 . The building system of  claim 28 , wherein the one or more input timeseries comprise at least one of:
 the raw data timeseries; or   the one or more derived data timeseries.   
     
     
         31 . The building system of  claim 21 , wherein the instructions cause the one or more processors to:
 detect a change in the raw data timeseries or the derived data timeseries; and   process a changed data timeseries in response to detecting the change.   
     
     
         32 . The building system of  claim 31 , wherein processing the changed data timeseries in response to detecting the change comprises:
 identifying one or more of the timeseries processing workflows that apply to the changed data timeseries;   identifying any other timeseries indicated as required inputs to the identified one or more timeseries processing workflows; and   processing the changed data timeseries, the other timeseries indicated as required inputs, and the identified one or more timeseries processing workflows that apply to the changed data timeseries.   
     
     
         33 . The building system of  claim 32 , wherein the instructions cause the one or more processors to:
 receive a plurality of derived data samples generated by processing the changed data timeseries; and   generate one or more particular derived data sample timeseries comprising the plurality of the derived data samples.   
     
     
         34 . A method, comprising:
 receiving, by one or more processing circuits, a plurality of timeseries processing workflows that process a plurality of raw data timeseries, the plurality of timeseries processing workflows comprising sequences of timeseries processing operations;   generating, by the one or more processing circuits, a plurality of graphs, the plurality of graphs corresponding to the plurality of timeseries processing workflows and representing the sequences of timeseries processing operations, wherein the plurality of graphs include blocks representing the sequences of timeseries processing operations;   receiving, by the one or more processing circuits, user input comprising an adjustment to a block of the blocks of a graph of the plurality of graphs;   applying, by the one or more processing circuits, the adjustment to a timeseries processing workflow that corresponds to the graph; and   processing, by the one or more processing circuits, the raw data timeseries using the timeseries processing workflow to generate a derived data timeseries.   
     
     
         35 . The method of  claim 34 , wherein the sequences of timeseries processing operations comprise a user defined fault rule that indicates whether one or more values of raw data samples representing a physical building condition are fault values;
 the method comprising:
 processing, by the one or more processing circuits, the raw data timeseries using the timeseries processing workflows to generate one or more fault timeseries, the one or more fault timeseries being generated in response to a determination, based on the user defined fault rule, that the one or more values of the raw data samples representing the physical building condition are the fault values. 
   
     
     
         36 . The method of  claim 34 , comprising:
 optimizing, by the one or more processing circuits, the timeseries processing workflows by combining two or more individual timeseries processing operations in a single workflow into a combined timeseries processing operation.   
     
     
         37 . The method of  claim 34 , comprising:
 optimizing, by the one or more processing circuits, the timeseries processing workflows by:
 identifying multiple timeseries processing workflows that require one or more shared input timeseries; and 
 combining the identified timeseries processing workflows into a single timeseries processing workflow. 
   
     
     
         38 . The method of  claim 34 , wherein the blocks comprise:
 one or more input blocks representing one or more input timeseries to which a corresponding workflow applies;   one or more functional blocks representing the sequences of timeseries processing operations in the corresponding workflow; and   one or more output blocks representing one or more derived data timeseries generated by applying the sequences of timeseries processing operations to the one or more input timeseries.   
     
     
         39 . One or more computer readable media storing instructions thereon that, when executed by one or more processors, cause the one or more processors to:
 receive a plurality of timeseries processing workflows that process a plurality of raw data timeseries, the plurality of timeseries processing workflows comprising sequences of timeseries processing operations;   generate a plurality of graphs, the plurality of graphs corresponding to the plurality of timeseries processing workflows and representing the sequences of timeseries processing operations, wherein the plurality of graphs include blocks representing the sequences of timeseries processing operations;   receive user input comprising an adjustment to a block of the blocks of a graph of the plurality of graphs;   apply the adjustment to a timeseries processing workflow that corresponds to the graph; and   process the raw data timeseries using the timeseries processing workflow to generate a derived data timeseries.   
     
     
         40 . The one or more computer readable media of  claim 39 , wherein the blocks comprise:
 one or more input blocks representing one or more input timeseries to which a corresponding workflow applies;   one or more functional blocks representing the sequences of timeseries processing operations in the corresponding workflow; and   one or more output blocks representing one or more derived data timeseries generated by applying the sequences of timeseries processing operations to the one or more input timeseries.

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