Building management system with eventseries processing

• US 10,417,245 B2
• Filed: 07/07/2017
• Issued: 09/17/2019
• Est. Priority Date: 02/10/2017
• Status: Active Grant

• Current Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Original Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Inventors: Park, Youngchoon, Sinha, Sudhi R., Chennupati, Vijaya S., Venkiteswaran, Vaidhyanathan, Paulson, Erik S., Ma, Ada L.
• Primary Examiner(s): Wilson, Kimberly L
• Application Number:
  US15/644,560
• Publication Number:
  US 20180232423A1
• Time in Patent Office: 802 Days
• Field of Search: 707736
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: G05D 23/1931 to control the temperature of one space
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence

Abstract

A building management system (BMS) includes building equipment, an eventseries generator, and a storage interface. The building equipment are configured to generate a plurality of data samples. Each of the data samples includes a data value and a timestamp. The eventseries generator is configured to assign a sample state to each data sample based on the data value of the data sample and generate one or more events based on the timestamp of each data sample and the sample state assigned to each data sample. Each of the events includes a start time, an end time, and an event state. The eventseries generator is configured to generate an eventseries including the one or more generated events. The storage interface is configured to store the eventseries in an eventseries database.

Claims

1. A building management system comprising:

building equipment that operate to affect a variable state or condition in a building and configured to generate a plurality of data samples, each of the plurality of data samples comprising a data value and a timestamp;

an eventseries generator configured to;

assign a sample state to each of the plurality of data samples based on the data value of each of the plurality of data samples, wherein the sample state is at least one of a first state associated with one or more first rules or a second state associated with one or more second rules, wherein first data values of a first plurality of data samples of the first state meet the one or more first rules and second data values of a second plurality of data samples of the second state meet the one or more second rules;

generate one or more events based on the timestamp of each of the plurality of data samples and the sample state assigned to each of the plurality of data samples, each of the one or more events comprising a start time, an end time, and an event state, wherein the event state is at least one of the first state or the second state;

generate an eventseries comprising the one or more events;

in response to receiving an out-of-order data sample having an out-of-order data sample timestamp between an existing event start time and an existing event end time of an existing event in the eventseries, wherein the existing event comprises the first state;

determine whether a state of the out-of-order data sample is the first state or the second state by determining whether an out-of-order data value of the out-of-order data sample meets the one or more first rules or the one or more second rules;

retain the existing event without modification in response to a first determination that the state of the out-of-order data sample is the first state;

generate a new event having a new event state of the second state in response to a second determination that the state of the out-of-order data sample is the second state, the first state being different from the second state; and

split the existing event into two non-consecutive events having the first state, a first of the two non-consecutive events occurring before the new event in the eventseries and a second of the two non-consecutive events occurring after the new event in the eventseries in response to the second determination that the state of the out-of-order data sample is the second state;

a storage interface configured to store the eventseries in an eventseries database; and

a control application configured to operate the building equipment to affect the variable state or condition in the building based on the eventseries stored in the eventseries database.

2. The building management system of claim 1, wherein the eventseries generator is configured to assign the sample state by applying a set of rules to the plurality of data samples, the set of rules defining a plurality of sample states and comprising criteria for assigning one of the plurality of sample states to each of the plurality of data samples, wherein the set of rules comprise the one or more first rules and the one or more second rules.

3. The building management system of claim 1, wherein the eventseries generator is configured to:

identify a particular timeseries corresponding to a particular data sample of the plurality of data samples;

select a particular rule to apply to the particular data sample based on the particular timeseries;

evaluate one or more conditions of the particular rule, wherein evaluating at least one of the one or more conditions comprises comparing a particular data value of the particular data sample to a threshold value; and

assign a particular sample state to the particular data sample based on which of the one or more conditions are satisfied.

4. The building management system of claim 1, wherein:

each of the one or more events defines an event period between the start time of the event and the end time of the event; and

the eventseries generator is configured to set the start time of the event and the end time of the event such that the event period includes timestamps of one or more consecutive data samples assigned a particular sample state.

5. The building management system of claim 1, wherein the eventseries generator is configured to:

identify a group of the plurality of data samples that have consecutive timestamps and are associated with a particular sample state;

generate an event for the group of the plurality of data samples; and

set a particular start time of the event and a particular end time of the event such that each of the consecutive timestamps is between the particular start time of the event and the particular end time of the event.

6. The building management system of claim 1, wherein the eventseries generator is configured to:

receive a new data sample and assign a new data sample state to the new data sample; and

determine whether the new data sample is part of the existing event in the eventseries, wherein the new data sample is part of the existing event if both;

the new data sample state of the new data sample is the same as an existing event state of the existing event; and

a new data sample timestamp of the new data sample is either within an event period between the existing event start time and the existing event end time of the existing event or consecutive with the event period.

7. The building management system of claim 1, wherein the eventseries generator is configured to:

receive a new data sample and assign a new data sample state to the new data sample;

determine that the new data sample is part of the existing event in the eventseries, the existing event having an existing event state corresponding to the new data sample state of the new data sample; and

update at least one of the existing event start time of the existing event or the existing event end time of the existing event based on a new data sample timestamp of the new data sample.

8. The building management system of claim 1, wherein the eventseries generator is configured to:

receive a new data sample and assign a new data sample state to the new data sample;

determine that the new data sample is not part of any existing event in the eventseries; and

add a second new event to the eventseries, the second new event having a particular start time based on a particular timestamp of the new data sample and a second new event state corresponding to the new data sample state of the new data sample.

9. The building management system of claim 8, wherein the eventseries generator is configured to:

identify a particular existing event in the eventseries temporally adjacent to the new event; and

update at least one of a particular existing event start time of the particular existing event or a particular existing event end time of the particular existing event based on the particular timestamp of the new data sample.

10. A method for generating eventseries in a building management system, the method comprising:

operating building equipment to affect a variable state or condition in a building and generate a plurality of data samples, each of the plurality of data samples comprising a data value and a timestamp;

assigning a sample state to each data sample based on the data value of the data sample, wherein the sample state is at least one of a first state associated with one or more first rules or a second state associated with one or more second rules, wherein first data values of a first plurality of data samples of the first state meet the one or more first rules and second data values of a second plurality of data samples of the second state meet the one or more second rules;

generating one or more events based on the timestamp of each of the plurality of data samples and the sample state assigned to each of the plurality of data samples, each of the one or more events comprising a start time, an end time, and an event state, wherein the event state is at least one of the first state or the second state;

generating an eventseries comprising the one or more events;

in response to receiving an out-of-order data sample having an out-of-order data sample timestamp between an existing event start time and an existing event end time of an existing event in the eventseries, wherein the existing event comprises the first state;

determining whether a state of the out-of-order data sample is the first state or the second state by determining whether an out-of-order data value of the out-of-order data sample meets the one or more first rules or the one or more second rules;

retaining the existing event without modification in response to a first determination that the state of the out-of-order data sample is the first state;

generating a new event having a new event state of the second state in response to a second determination that the state of the out-of-order data sample is the second state; and

splitting the existing event into two non-consecutive events having the first state, a first of the two non-consecutive events occurring before the new event in the eventseries and a second of the two non-consecutive events occurring after the new event in the eventseries in response to the second determination that the state of the out-of-order data sample is the second state;

storing the eventseries in an eventseries database;

operating the building equipment to affect the variable state or condition in the building based on the eventseries stored in the eventseries database.

11. The method of claim 10, wherein assigning the sample state comprises applying a set of rules to the plurality of data samples, the set of rules defining a plurality of sample states and comprising criteria for assigning one of the plurality of sample states to each of the plurality of data samples, wherein the set of rules comprises the one or more first rules and the one or more second rules.

12. The method of claim 10, wherein assigning the sample state comprises:

identifying a particular timeseries corresponding to the data sample;

selecting a particular rule to apply to the data sample based on the particular timeseries;

evaluating one or more conditions of the particular rule, wherein evaluating at least one of the one or more conditions comprises comparing the data value of the data sample to a threshold value; and

assigning the sample state to the data sample based on which of the one or more conditions are satisfied.

13. The method of claim 10, wherein each event defines an event period between the start time of the event and the end time of the event;

the method comprising setting the start time of the event and the end time of the event such that the event period includes timestamps of one or more consecutive data samples assigned a particular sample state.

14. The method of claim 10, wherein generating the one or more events comprises:

identifying a group of the plurality of data samples that have consecutive timestamps and are associated with a particular sample state;

generating an event for the group of the plurality of data samples; and

setting the start time of the event and the end time of the event such that each of the consecutive timestamps is between the start time of the event and the end time of the event.

15. The method of claim 10, further comprising:

receiving a new data sample and assigning a new data sample state to the new data sample; and

determining whether the new data sample is part of the existing event in the eventseries, wherein the new data sample is part of the existing event if both;

the new data sample state of the new data sample is the same as an existing event state of the existing event; and

a new data sample timestamp of the new data sample is either within an event period between the existing event start time and the existing event end time of the existing event or consecutive with the event period.

16. The method of claim 10, further comprising:

receiving a new data sample and assigning a new data sample state to the new data sample;

determining that the new data sample is part of the existing event in the eventseries, the existing event having an existing event state corresponding to the new data sample state of the new data sample; and

updating at least one of the existing event start time of the existing event or the existing event end time of the existing event based on a new data sample timestamp of the new data sample.

17. The method of claim 10, further comprising:

receiving a new data sample and assigning a new data sample state to the new data sample;

determining that the new data sample is not part of any existing event in the eventseries; and

adding a second new event to the eventseries, the second new event having a particular start time based on a particular timestamp of the new data sample and a second new event state corresponding to the new data sample state of the new data sample.

18. The method of claim 17, further comprising:

identifying a particular existing event in the eventseries temporally adjacent to the new event; and

updating at least one of the existing start time of the particular existing event or the existing end time of the particular existing event based on the particular timestamp of the new data sample.

19. An information management system for a building, the information management system comprising a processing circuit comprising one or more hardware processors configured to execute instructions to:

assign a sample state to each of a plurality of data samples based on a data value of each of the plurality of data samples, wherein the sample state is at least one of a first state associated with one or more first rules or a second state associated with one or more second rules, wherein first data values of a first plurality of data samples of the first state meet the one or more first rules and second data values of a second plurality of data samples of the second state meet the one or more second rules;

generate one or more events based on a timestamp of each of the plurality of data samples and the sample state assigned to each of the plurality of data samples, each of the one or more events comprising a start time, an end time, and an event state, wherein the event state is at least one of the first state or the second state;

generate an eventseries comprising the one or more events;

in response to receiving an out-of-order data sample having an out-of-order data sample timestamp between an existing event start time and an existing event end time of an existing event in the eventseries, wherein the existing event comprises the first state;

determine whether a state of the out-of-order data sample is the first state or the second state by determining whether an out-of-order data value of the out-of-order data sample meets the one or more first rules or the one or more second rules;

retain the existing event without modification in response to a first determination that the state of the out-of-order data sample is the first state;

generate a new event having a new event state of the second state in response to a second determination that the state of the out-of-order data sample is the second state; and

split the existing event into two non-consecutive events having the first state, a first of the two non-consecutive events occurring before the new event in the eventseries and a second of the two non-consecutive events occurring after the new event in the eventseries in response to the second determination that the state of the out-of-order data sample is the second state;

store the eventseries in an eventseries database; and

operate building equipment of the building to affect a variable state or condition in the building based on the eventseries stored in the eventseries database.

20. The information management system of claim 19, wherein the one or more hardware processors are configured to execute the instructions to assign the sample state by applying a set of rules to each of the plurality of data samples, the set of rules defining a plurality of sample states and comprising criteria for assigning one of the plurality of sample states to each of the plurality of data samples, wherein the set of rules comprise the one or more first rules and the one or more second rules.