Communication between distributed information brokers within a data and energy storage internet architecture

• US 10,496,049 B2
• Filed: 12/16/2015
• Issued: 12/03/2019
• Est. Priority Date: 12/16/2015
• Status: Active Grant

• Current Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Inventors: Rao, Lei, Li, Jian, Zhu, Jiafeng, Hu, Ron-Chung
• Primary Examiner(s): Cao, Chun
• Application Number:
  US14/970,906
• Publication Number:
  US 20170176955A1
• Time in Patent Office: 1,448 Days
• Field of Search: 700275
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters

Abstract

A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture comprising collecting energy data indicating a flow of energy, an amount of energy consumed and generated by devices; collecting human presence data; collecting human activity data; predicting future energy consumption requirements and generation by employing prediction algorithms and analyzing the collected data; generating a set of control commands based on the predicted future energy consumption requirements and energy generation as applied to a cost function; transmitting the set of control commands to the corresponding devices; transmitting a broadcast message to determine an external NE to establish as a friend connection based on a user preference; transmitting a request to establish a friend connection with the determined NE; and transmitting the human presence data to the external NE when the friend connection is established.

Claims

1. A distributed system comprising:

a plurality of network elements (NEs) configured to operate as Ensemble Information Brokers (EIBs) within a distributed data and energy storage internet architecture, wherein each NE is configured to;

collect device data regarding a flow of energy during a specified period of time through a plurality of devices within a smart system associated with the NE, an amount of energy and data consumed by the devices during the specified period of time, and an amount of energy and data generated by the devices during the specified period of time;

collect human presence data in the smart system regarding a presence of a user within the smart system during the specified period of time;

collect human activity data in the smart system regarding user inputs to the devices and user interaction with the devices during the specified period of time;

determine future energy and data consumption and generation requirements for the smart system by applying prediction algorithms to the device data, the human presence data and the human activity data;

generate a set of control commands for the devices within the smart system based on the future energy and data consumption and generation requirements as applied to a dynamic human-centric cost function associated with the smart system, wherein the dynamic human-centric cost function adapts to weighted objective metrics according to the human presence data, human activity data, and user defined preference levels for the smart system;

transmit the set of control commands to the corresponding devices within the smart system;

transmit a broadcast message to determine an external NE within an assigned environment or network and within the distributed data and energy storage internet architecture to establish as a friend connection based on a user preference;

transmit a request to establish the friend connection with the external NE, wherein the friend connection is established upon a receipt of a confirmation from the external NE;

transmit the human presence data to the external NE when the friend connection is established; and

trade resources with both the external NE having the friend connection and external NEs without established friend connections.

2. The distributed system of claim 1, wherein each NE is further configured to transmit a heartbeat message periodically to maintain a connection status with the external NE when the friend connection is established.

3. The distributed system of claim 1, wherein each NE is further configured to receive external environment presence data from the external NE when the friend connection is established, and wherein the external environment presence data indicates an interaction of a plurality of external users with a plurality of external devices within external smart systems associated with the external NE.

4. The distributed system of claim 1, wherein each NE is further configured to:

receive a request for energy or data storage at a specified time from a second external NE;

determine an eligibility of a second external smart system associated with the second external NE based on an eligibility algorithm determined by whether the second external NE has been established as a friend connection; and

send a command to an electric producing device within the smart system to cause the electric producing device to provide an amount of energy or data generation satisfying the request for energy or data storage to the second external smart system at the specified time upon determining that the second external smart system is eligible to receive the amount of energy or data.

5. The distributed system of claim 4, wherein the eligibility algorithm is a point-based credit scheme when the second external NE is not established as a friend connection, wherein the point-based credit scheme compares a sent amount of energy or data sent to an external smart system and a received amount of energy or data received from the external smart system, and wherein the point-based credit scheme comprises a weight function comprising a weight value determined based on a temporal distance between the specified time and a peak time for energy or data consumption within the smart system assigned to the NE.

6. The distributed system of claim 4, wherein the eligibility algorithm is an established friend scheme when the second external NE is established as a friend connection, and wherein the established friend scheme determines that the second external smart system is eligible to receive the amount of energy or data when the second external NE is established as a friend connection.

7. The distributed system of claim 1, wherein the dynamic human-centric cost function comprises a human-centric multimodal representation of a weighted sum of an energy cost function and a user productivity function, wherein the energy cost function is a representation of an operating status of the devices, and wherein the user productivity function is a representation of a human comfort level and a human productivity level within the smart system and comprises a noise function, a cool function, a warm function, a fresh function, and a humidity function each regarding an operating status of the devices.

8. The distributed system of claim 7, wherein each NE is further configured to provide an interface to alter or enter values employed within the energy cost function and the user productivity function.

9. A network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture, the NE comprising:

a processor configured to;

collect device data regarding a flow of energy during a specified period of time through a plurality of devices within a smart system associated with the NE, an amount of energy and data consumed by the devices during the specified period of time, and an amount of energy and data generated by the devices during the specified period of time;

collect human presence data in the smart system regarding a presence of a user within the smart system during the specified period of time;

collect human activity data in the smart system regarding user inputs to the devices and user interaction with the devices during the specified period of time;

predict future energy and data consumption and generation requirements for the smart system by applying prediction algorithms to the device data, the human presence data, and the human activity data; and

generate a set of control commands for the devices within the smart system based on the predicted future energy and data consumption and generation requirements as applied to a dynamic human-centric cost function associated with the smart system that adapts to weighted objective metrics according to the human presence data, human activity data, and user defined preference levels for the smart system, wherein the dynamic human-centric cost function comprises a human-centric multimodal representation of a weighted sum of an energy cost function and a user productivity function, wherein the energy cost function is a representation of an operating status of the devices, and wherein the user productivity function is a representation of a human comfort level and a human productivity level within the smart system and comprises a noise function, a cool function, a warm function, a fresh function, and a humidity function each regarding an operating status of the devices;

a transmitter coupled to the processor and configured to transmit the set of control commands to the corresponding devices within the smart system and to transmit the human presence data to an external NE; and

an external gateway coupled to the transmitter, the external gateway configured to facilitate trading of resources with both the external NE having a friend connection and external NEs without established friend connections.

10. The NE of claim 9, wherein the set of control commands is generated based further according to human-centric optimization objectives comprising a reduction of energy cost within the smart system and optimization of a productivity of the user within the smart system.

11. The NE of claim 9, wherein the human activity data comprises a time of day and a number of hours a user has interacted with each of the devices in the smart system.

12. The NE of claim 9, wherein the dynamic human-centric cost function is updated by weighting the dynamic human-centric cost function according to user preferences received from a user interface coupled to the NE and within the smart system.

13. The NE of claim 9 further comprising:

a receiver coupled to the processor and configured to receive, from a plurality of external NEs configured to operate as external EIBs within the distributed data and energy storage internet architecture that have established the friend connection, external environment presence data indicating an interaction of a plurality of external users with a plurality of external devices within a plurality of external smart systems associated with each of the external NEs,

wherein the processor is further configured to determine a subset of the external NEs based on an analysis of the external environment presence data indicating a likelihood of each of the external smart systems comprising sufficient surplus power or data storage to satisfy a request for energy or data storage from the smart system associated with the NE, and

wherein the transmitter is further configured to transmit the request for energy or data storage to the subset of the external NEs.

14. The NE of claim 13, wherein the friend connection for one of the external NEs is established based on the NE receiving a request, via the receiver, from the one of the external NEs to establish the friend connection and the NE sending a confirmation, via the transmitter, that the friend connection has been established.

15. The NE of claim 13, wherein the transmitter is further configured to transmit the human presence data to the external NEs when a friend connection has been established with the external NEs.

16. The NE of claim 9 further comprising:

a receiver coupled to the processor and configured to receive, from an external NE configured to operate as an external EIB within the distributed data and energy storage internet architecture, a request for energy or data storage at a specified time;

determine an eligibility of an external smart system assigned to the external NE based on a point-based credit scheme comparing a sent amount of energy or data sent to an external smart system assigned to the external NE and a received amount of energy or data received from the external smart system, wherein the point-based credit scheme comprises a weight function comprising a point value determined based on a temporal distance between the specified time and a peak time for energy or data consumption within the smart system assigned to the NE; and

send a command to an electric producing device within the smart system to cause the electric producing device to provide an amount of energy or data generation satisfying the request for energy or data storage to the external smart system at the specified time upon determining that the external smart system is eligible to receive the amount of energy or data.

17. A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture, the method comprising:

collecting energy data indicating a flow of energy during a specified period of time through a plurality of devices within a smart system associated with the NE, an amount of energy consumed by the devices during the specified period of time, and an amount of energy generated by the devices during the specified period of time;

collecting human presence data in the smart system regarding a presence of a user within the smart system during the specified period of time;

collecting human activity data in the smart system regarding user inputs to the devices and user interaction with the devices during the specified period of time;

predicting future energy consumption requirements and energy generation for the smart system by employing prediction algorithms and analyzing the collected energy data, the human presence data, and the human activity data;

generating a set of control commands for the devices within the smart system based on the predicted future energy consumption requirements and energy generation as applied to a dynamic human-centric cost function associated with the smart system;

transmitting the set of control commands to the corresponding devices within the smart system;

transmitting a broadcast message to determine an external NE configured to operate as an external EIB within the distributed data and energy storage internet architecture and within an assigned environment or network to establish as a friend connection based on a user preference;

transmitting a request to establish the friend connection with the external NE, wherein the friend connection is established upon a receipt of a confirmation from the external NE;

transmitting the human presence data to the external NE when the friend connection is established; and

trading resources with both the external NE having the friend connection and external NEs without established friend connections.

18. The method of claim 17 further comprising receiving external human presence data indicating an interaction of a plurality of external users with a plurality of external devices within an external smart system associated with the external NE when the friend connection is established.

19. The method of claim 18 further comprising:

determining to include the external NE within a set of external NEs based on an analysis of the external human presence data indicating a likelihood of the external smart system comprising sufficient surplus power or data storage to satisfy a request for energy or data storage from the smart system associated with the NE, and

transmitting the request for energy or data storage to the external NE when the external NE is included in the set of external NEs.

20. The method of claim 17 further comprising:

receiving, from an external NE configured to operate as an external EIB within the distributed data and energy storage internet architecture, a request for energy or data storage at a specified time;

determining an eligibility of an external smart system assigned to the external NE based on a point-based credit scheme comparing a sent amount of energy or data sent to an external smart system assigned to the external NE and a received amount of energy or data received from the external smart system, wherein the point-based credit scheme comprises a weight function comprising a point value determined based on a temporal distance between the specified time and a peak time for energy or data consumption within the smart system assigned to the NE; and

sending a command to an electric producing device within the smart system to cause the electric producing device to provide an amount of energy or data generation satisfying the request for energy or data storage to the external smart system at the specified time upon determining that the external smart system is eligible to receive the amount of energy or data.