System for sensing environmental conditions

• US 20060176169A1
• Filed: 12/16/2005
• Published: 08/10/2006
• Est. Priority Date: 12/17/2004
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Radke, John, Glaser, Steve, Sitar, Nicholas, Doolin, David M.
• Application Number:
  US11/303,458
• Publication Number:
  US 20060176169A1
• Time in Patent Office: Days
• US Class Current: 340/521
• CPC Class Codes: G08B 17/00 Fire alarms; Alarms responsive to explosion
• CPC Class Codes: G08B 21/12 responsive to undesired emission of substances, e.g. pollution alarms
• CPC Class Codes: G08B 25/009 Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

A system and method for facilitating measurement of environmental conditions such as might be used in emergencies or other situational awareness applications. The method includes dispersing several networked nodes in a region, the nodes being coupled to one or more sensors, and then employing the one or more sensors to sense one or more environmental conditions and providing sensed data in response thereto. In a more specific embodiment, the region exhibits a fire, and the method further includes utilizing the sensed data to predict fire conditions, such as fire movement and temperature. A controller may be employed to selectively adjust power to one or more sensors based on predetermined priorities associated with sensed data output from the one or more sensors.

Claims

1. A system for monitoring a fire, the system comprising:

a plurality of devices coupled via a network, each with a plurality of sensors;

a base station for communicating with the devices;

a processing system for receiving data from the sensors via the base station; and

a process executing on one or more of the devices for organizing a flow of data from the devices to the base station after deployment of the devices.

2. The system of claim 1 further including:

first means for pre-deploying the devices in an area.

3. The system of claim 1 wherein the first means further includes:

second means for deploying the devices during a fire event.

4. The system of claim 1 further including:

third means for facilitating modifying data collection priorities.

5. The system of claim 4, wherein the third means further includes:

fourth means for facilitating modifying data collection priorities according to a data type, a data collection rate, and/or according to fire conditions.

6. A system for monitoring a plurality of mobile objects, the system comprising:

a plurality of devices coupled to the mobile objects, wherein each device includes a plurality of sensors, wherein the sensors include environmental sensors;

a base station for communicating with the devices;

a processing system for receiving data from the sensors via the base station; and

a process executing on one or more of the devices for organizing a flow of data from the devices to the base station after deployment of the devices.

7. The system of claim 6, wherein a mobile object includes a person or vehicle.

8. The system of claim 7, wherein the plurality of sensors include one or more sensors for measuring biological information of the user.

9. The system of claim 6 wherein the base station is mobile.

10. The system of claim 6 further including

first means for modifying data collection priorities according to data type, data collection rate, and/or values of data collected.

11. A method for obtaining measurements of environmental conditions comprising:

dispersing several self-networking nodes in a region, the self-networking nodes being coupled to one or more sensors; and

employing the one or more sensors to sense one or more environmental conditions, thereby yielding sensed data.

12. The method of claim 11, wherein the region includes a fire.

13. The method of claim 12, further including:

utilizing the sensed data to predict a condition pertaining to a fire.

14. The method of claim 13, wherein the condition pertaining to a fire includes:

fire movement.

15. The method of claim 13, wherein the condition pertaining to a fire includes:

fire temperature.

16. The method of claim 11, further including:

selectively controlling power to one or more of the one or more sensors based on a predetermined priority associated with sensed data output from the one or more sensors.

17. A method for obtaining fire measurements comprising:

creating a sensor network of spatially dispersed self-networking sensors, the sensor network being in proximity to or in the fire and

selectively controlling the sensor network to configure data received by a processing system from one or more sensors of the spatially dispersed sensor network.

18. The method of claim 17, further including:

dispersing plural self-networking nodes in proximity to the fire, each self-networking node in communication with one or more sensors.

19. The method of claim 17, wherein the data includes:

position information corresponding to one or more sensors of the sensor network.

20. The method of claim 19, wherein the position information includes:

elevation information.

21. The method of claim 19, further including:

implementing one or more routines for coupling the position information with sensed data corresponding to one or more environmental conditions.

22. The method of claim 21, further including:

employing the sensed data and the position information to predict behavior of the fire.

23. The method of claim 17, further including:

selectively prioritizing the data.

24. The method of claim 23, further including:

prioritizing the data based on bandwidth and/or communication capabilities of the sensors providing the sensed data.

25. The method of claim 23, further including:

selectively adjusting power to each of the spatially dispersed sensors according to a priority associated with priority value associated with each of the spatially dispersed sensors.

26. The method of claim 25, further comprising:

a GPS receiver, a humidity sensor, a temperature sensor, and/or a radiation sensor.

27. A system for facilitating fire measurement comprising:

sensors interconnected via a network, the sensors being adapted to sense environmental conditions;

one or more Global Positioning System (GPS) receivers adapted to provide position information associated with one or more of the sensors; and

a sensor controller connected to the network, the sensor controller adapted to selectively retrieve the sensed environmental conditions and the position information.

28. The system of claim 27, further comprising:

first means for associating the position information with sensed environmental conditions output from one or more sensors associated with the position information.

29. The system of claim 27, further comprising:

second means for selectively prioritizing sensed environmental conditions in response to control signals output from the sensor controller.

30. The system of claim 29, further comprising:

a power-control mechanism adapted to selectively adjust power to sensors in accordance with priority values associated with sensed environmental conditions output via the sensors.

31. The system of claim 29, wherein the sensors are connected to network nodes, further comprising:

a sensor-node controller and an accompanying GPS receiver.

32. The system of claim 31, further comprising:

means for selectively powering off the GPS receiver.

33. The system of claim 31, further comprising:

one or more routines to facilitate automatically wirelessly networking with proximate sensors and associated nodes.

34. The system of claim 31, wherein the sensor-node controller is responsive to control signals from the sensor controller.

35. The system of claim 34, wherein the sensor controller is implemented via a base station.

36. The system of claim 29, further comprising:

a user interface in communication with the controller.

37. The system of claim 36, wherein the user interface includes:

a browser-client interface.

38. The system of claim 36, further including:

a database in communication with the user interface.

39. The system of claim 38, further including:

one or more servers in communication with the sensor node controller and the database, the one or more servers adapted to selectively provide fire information to the browser-client interface based on the sensed environmental conditions.

40. The system of claim 27, wherein the position information includes:

elevation information.

41. A method for characterizing a wildfire comprising:

dispersing several nodes in a region exhibiting a fire or susceptible to a fire, the nodes being coupled to one or more sensors and being coupled to one or more Global Positioning System (GPS) receivers;

employing the one or more sensors to sense one or more environmental conditions and providing sensed data in response thereto;

coupling position and elevation information provided by the GPS receiver to the one or more environmental conditions and providing geocoded data in response thereto; and

characterizing the fire based on the geocoded data.

42. A method for characterizing a wildfire comprising:

dispersing plural self-networking nodes in proximity to a fire or in a region where future fire-detection and/or measurement is desired, the plural self-networking nodes being coupled to one or more sensors;

forming a network via the self-networking nodes; and

extracting data from the self-networking nodes and providing extracted data to a database in response thereto.

43. The method of claim 42, wherein dispersing includes aerial dispersal.

44. The method of claim 42, further including:

running one or more routines for predicting fire spread based on sensed data from the self-networking nodes.

45. The method of claim 42, further including:

one or more routines for correlating building structural with a fire behavior and/or characteristics based on sensed data associated with a structure and sensed data associated with the fire.

46. A system for monitoring a fire, the system comprising:

a plurality of devices, each with a plurality of sensors, wherein a priority is assigned to two or more sensors;

a base station for communicating with the devices; and

a processing system for receiving data from the sensors via the base station, wherein the data is received from the sensors according to the priority.

47. The system of claim 46, further comprising:

a process executing at a device for preventing operation of a sensor depending on a criterion.

48. The system of claim 47, wherein the criterion includes a determination of a low-power condition.

49. The system of claim 47, wherein the criterion includes a determination of a restricted bandwidth condition.