IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
UP-0377899
(2006-03-16)
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등록번호 |
US-7779099
(2010-09-06)
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발명자
/ 주소 |
- Raghunathan, Prabhu R.
- Danial, Patrick J.
- Young, Mark E.
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 |
피인용 횟수 :
6 인용 특허 :
13 |
초록
▼
A distributed intelligent system. The distributed network includes at least one gateway server configured for receiving meter data from one or more nodes of a distributed meter network and at least one subscriber station in communication with the at least one gateway server via a communication netwo
A distributed intelligent system. The distributed network includes at least one gateway server configured for receiving meter data from one or more nodes of a distributed meter network and at least one subscriber station in communication with the at least one gateway server via a communication network. The at least one gateway server is further configured to selectively distribute the received meter data to the at least one subscriber station in accordance with a policy.
대표청구항
▼
The invention claimed is: 1. A system comprising: one or more flow meter devices at one or more nodes of a distributed flow meter network, each of the one or more flow meter devices for directly measuring flow of a fluid through the flow meter device when the fluid is dispensed, the one or more nod
The invention claimed is: 1. A system comprising: one or more flow meter devices at one or more nodes of a distributed flow meter network, each of the one or more flow meter devices for directly measuring flow of a fluid through the flow meter device when the fluid is dispensed, the one or more nodes to transmit flow meter data autonomously or in response to a request, the flow meter data comprising at least one of a fluid flow rate and a fluid flow total; and at least one server to receive the flow meter data from the one or more nodes of the distributed flow meter network, wherein the at least one server is at a location different than the one or more nodes; wherein the at least one server is to communicate with at least one subscriber station via a communication network; wherein when the one or more nodes transmit flow meter data in response to a request, the request is to be transmitted by the at least one server at a frequency that is adaptively changed based on a characteristic of the flow meter data; and wherein the at least one server is to selectively distribute the received flow meter data to the at least one subscriber station when criteria of a policy implemented by the at least one server is satisfied, criteria of the policy defining a data need of the at least one subscriber station based on at least one of: a type of the fluid; a brand of the fluid; a geographic location of the one or more nodes; and a condition based on flow of the fluid. 2. The system of claim 1, wherein each subscriber station is remotely located with respect to each server. 3. The system of claim 1 wherein each node of the distributed flow meter network is associated with a point-of-sale (POS) location, and wherein the flow meter data comprises at least one of a beverage flow rate and a beverage flow total for one or more beverages dispensed at the POS location. 4. The system of claim 3, wherein the at least one server is to transmit an inventory control message based on the flow meter data. 5. The system of claim 3, wherein the at least one server is to transmit an advertisement message based on the flow meter data. 6. The system of claim 3, wherein the at least one server is to generate a consumption pattern model. 7. The system of claim 6, wherein the at least one server is to automatically control a beverage inventory at the POS location in accordance with an inventory control policy, wherein the inventory control policy is based at least in part upon the consumption pattern model. 8. The system of claim 6, wherein the at least one server is to automatically generate an advertisement message in accordance with an advertisement policy, wherein the advertisement policy is based at least in part upon the consumption pattern model. 9. The system of claim 3, wherein the at least one server is to generate a consumer model. 10. The system of claim 9, wherein the at least one server is to automatically generate an advertisement message in accordance with an advertisement policy, wherein the advertisement policy is based at least in part upon the consumer model. 11. The system of claim 1, comprising a load-balancing policy stored in the at least one server. 12. The system of claim 1, further comprising at least one redundant backup server. 13. The system of claim 1, wherein the communication network comprises the Internet. 14. The system of claim 1, wherein at least one of the nodes is a point-of-sale (POS) location. 15. A method comprising: at one or more nodes of a distributed flow meter network, directly measuring flow of a fluid when the fluid is dispensed, the one or more nodes to transmit flow meter data autonomously or in response to a request, the flow meter data comprising at least one of a fluid flow rate and a fluid flow total; receiving, by at least one server, the flow meter data from the one or more nodes, wherein the at least one server is at a location different than the one or more nodes; when the one or more nodes transmit flow meter data in response to a request, transmitting the request by the at least one server at a frequency that is adaptively changed based on a characteristic of the flow meter data; and selectively distributing, via a communication network, the received flow meter data to at least one subscriber station when criteria of a policy implemented by the at least one server is satisfied, criteria of the policy defining a data need of the at least one subscriber station based on at least one of: a type of the fluid; a brand of the fluid; a geographic location of the one or more nodes; and a condition based on a flow of the fluid. 16. The method of claim 15, wherein receiving the flow meter data from the one or more nodes of the flow meter network includes receiving at least one of a beverage flow rate and a beverage flow total for one or more beverages dispensed at a POS location. 17. The method of claim 16, further comprising transmitting by the server an inventory control message based on the flow meter data. 18. The method of claim 16, further comprising transmitting by the server an advertisement message based on the flow meter data. 19. The method of claim 16, further comprising generating a consumption pattern model based on the flow meter data. 20. The method of claim 19, further comprising automatically controlling a beverage inventory at the POS location in accordance with an inventory control policy, wherein the inventory control policy is based at least in part upon the consumption pattern model. 21. The method of claim 19, further comprising automatically generating an advertisement message in accordance with an advertisement policy, wherein the advertisement policy is based at least in part upon the consumption pattern model. 22. The method of claim 16, further comprising generating a consumer model based on the flow meter data. 23. The method of claim 22, further comprising automatically generating an advertisement message in accordance with an advertisement policy, wherein the advertisement policy is based at least in part upon the consumer model.
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