APPLICATION ENVIRONMENT FOR LIGHTING SENSORY NETWORKS

• US 20150256623A1
• Filed: 03/05/2015
• Published: 09/10/2015
• Est. Priority Date: 03/06/2014
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Ryhorchuk, Kent W., Sachs, Christopher David
• Granted Patent: US 10,362,112 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 9/54 Interprogram communication
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

In various example embodiments, a system and method are provided for a service data platform. The service data platform includes an application management API configured to receive software uploaded by a third party using a management application API. The service data platform also includes a plurality of graph servers configured to identify a group of lighting nodes to distribute the uploaded software and determine the uploaded software is safe for deployment to the identified group of lighting nodes. The service data platform further includes a device manager configured to distribute, using an administrative API, the uploaded software to the identified group of lighting nodes.

Claims

1. A method for processing sensor data at a lighting node within a network, comprising:

receiving, from a service data platform using an administrative application programming interface (API), a first request to upload a sensor application at the lighting node;

receiving, from the service data platform using the administrative API, a second request to execute the sensor application;

collecting, from a sensor device using a sensor data API, sensor data representing high bandwidth data;

executing, by a processor of a machine, the sensor application to generate analytics data at the lighting node based on the sensor data, the generated analytics data representing low bandwidth data; and

transmitting the generated analytics data to the service data platform using an application API.

2. The method of claim 1, wherein the sensor data includes at least one of sensor raw data and sensor event data.

3. The method of claim 1, wherein the sensor data represents the collected sensor data that has not been filtered, aggregated or otherwise changed by devices within the network.

4. The method of claim 1, wherein the sensor application represents a script.

5. The method of claim 1, wherein the lighting node represents a sensor node.

6. The method of claim 1, wherein collecting the sensor data using the sensor data API further comprises:

requesting, from the sensor device using the sensor data API, the sensor data; and

receiving a response, from the sensor device, including the sensor data requested.

7. The method of claim 1, wherein collecting the sensor data using the sensor data API further comprises:

collecting the sensor data at a data transfer rate such that the amount of the collected sensor data is too large to be efficiently transferred to the service data platform near real time over a network.

8. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting nodes based on sensor data further comprises:

producing the analytics data based on unaltered sensor data at a data transfer rate such that the amount of the produced analytics data is capable of being transferred to the service data platform near real time over a network.

9. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting node based on the sensor data received at the lighting node further comprises:

generating the analytics data based on unaltered sensor data to produce the low bandwidth data.

10. The method of claim 1, wherein the sensor application represents software developed by a third party to run on the lighting node to perform node-based processing of unaltered sensor data collected at the lighting node.

11. The method of claim 1, wherein receiving, from the service data platform using the administrative API, the first request to upload the sensor application at the lighting node at the lighting node further comprises:

receiving a file including the sensor application; and

installing the sensor application from the file onto the lighting node.

12. The method of claim 1, further comprising:

receiving, from the service data platform using the administrative API, additional requests to perform administrative functions on the sensor application.

13. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting node based on the sensor data further comprises:

executing the sensor application within a container to limit resources utilized by the sensor application and to provide a secure operating environment for the sensor application.

14. The method of claim 1, wherein collecting, from a sensor device using the sensor data API further comprises:

collecting the sensor data from the sensor device located at the lighting node or located at a remote lighting node.

15. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting node based on the sensor data further comprises:

generating the analytics data by applying algorithms to locate, classify and correlate information.

16. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting node based on the sensor data further comprises:

executing the sensor application without affecting other software being executed at the lighting node.

17. The method of claim 1, wherein executing the sensor application to generate analytics data at the lighting node based on the sensor data further comprises:

generating the analytics data without affecting a normal operation of the lighting node.

18. A method of deploying software to lighting nodes in a network, comprising:

receiving, by a service data platform, software uploaded by a third party using a management application programming interface (API) provided by the service data platform;

identifying, by a processor of a machine, a group of lighting nodes to distribute the uploaded software;

determining, the uploaded software is safe for deployment to the identified group of lighting nodes; and

distributing, using an administrative API, the uploaded software to the identified group of lighting nodes.

19. The method of claim 18, further comprising:

managing, using the administrative API, the execution of the software installed on the identified group of lighting nodes by providing requests for administrative functions.

20. The method of claim 18, wherein the software represents a sensor application.

21. The method of claim 20, wherein the sensor application is written in a scripting language.

22. The method of claim 18, further comprising:

receiving, from the identified group of lighting nodes using an application API, node-processed sensor data produced by the identified group of lighting nodes.

23. The method of claim 22, further comprising:

storing the node-processed sensor data from the identified group of lighting nodes in a database located at the service data platform.

24. The method of claim 23, further comprising:

providing access, to an authorized third party using an aggregate API, to the stored node-processed sensor data.

25. A system for a lighting node, comprising:

a sensor device; and

an end-point application framework, implemented by one or more processors, that are configured to;

receive, from a service data platform using an administrative application programming interface (API), a first request to upload a sensor application at the lighting node at the lighting node;

receive, from the service data platform using the administrative API, a second request to execute the sensor application;

collect, from the sensor device using a sensor data API, sensor data representing high bandwidth data;

execute, by a processor of a machine, the sensor application to generate analytics data at the lighting node based on the sensor data, the generated analytics data representing low bandwidth data; and

transmit the generated analytics data to the service data platform using an application API.

26. A system for a service data platform, comprising:

an application management API, implemented by one or more processors, that is configured to receive software uploaded by a third party using a management application programming interface (API);

a plurality of graph servers, implemented by one or more processors that is configured to identify a group of lighting nodes to distribute the uploaded software and determine the uploaded software is safe for deployment to the identified group of lighting nodes; and

a device manager, implemented by one or more processors that is configured to distribute, using an administrative API, the uploaded software to the identified group of lighting nodes.

27. The system of claim 26, wherein the device manager is further configured to:

manage, using the administrative API, the execution of the software installed on the identified group of lighting nodes by providing requests for administrative functions.

28. The system of claim 26, wherein the device manager is further configured to receive, from the identified group of lighting nodes using an application API, node-processed sensor data produced by the identified group of lighting nodes.

29. The system of claim 28, further comprising a database communicatively coupled to the plurality of graph servers and configured to store the node-processed sensor data received by the device manager.

30. The system of claim 29, further comprising an aggregate data API, implemented by one or more processors that configured to provide access to an authorized third party to the node-processed sensor data stored by the database.