Method for environmental sensing

• US 8,805,613 B2
• Filed: 11/06/2009
• Issued: 08/12/2014
• Est. Priority Date: 01/30/2007
• Status: Active Grant

• Current Assignee: Generac Power Systems Incorporated (Generac Holdings Incorporated)
• Original Assignee: International Business Machines Corporation
• Inventors: Chainer, Timothy J., Rajput, Nitendra, Rogowitz, Bernice E.
• Primary Examiner(s): LE, TOAN M
• Application Number:
  US12/613,758
• Publication Number:
  US 20100052891A1
• Time in Patent Office: 1,740 Days
• Field of Search: 702/3, 702/19, 702/22, 702/24, 702/30, 702/32, 702/183, 702/2, 702/1, 702/81, 702/84, 702/127, 702/130, 702/179, 702/181, 702188-189, 340/517, 340/539.1, 340/539.11, 34053916-53918, 34053922-53924, 34053926-53928, 340601-602, 340/686.1, 731/701.6, 700/9, 700 28- 29, 703/5, 703 11- 12
• US Class Current: 702/2
• CPC Class Codes: G01V 3/00 Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
• CPC Class Codes: G01W 1/00 Meteorology

Abstract

Data pertaining to environmental information is acquired using sensors on a multiplicity of networked pervasive devices, and analyzed to determine occurrence of at least one environmental event. Such data can be obtained, for example, from an inventive wireless communications device including an antenna, transmit circuitry coupled to the antenna for transmission of radio frequency radiation therefrom, at least one environmental sensor configured to obtain environmental data, and a communications module coupled to the at least one environmental sensor and configured to cause transmission of a representation of the data via the antenna and the transmit circuitry.

Claims

1. A method of providing a service for monitoring environmental conditions, comprising the steps of:

facilitating offering said monitoring service on a subscription basis;

facilitating receiving subscriptions to said monitoring service from a plurality of subscribers;

facilitating acquisition of data pertaining to environmental information using a multiplicity of sensors on a multiplicity of networked pervasive devices;

facilitating analysis of said data to determine occurrence of at least one environmental event, wherein said analysis is performed by a centralized server which obtains said data from the multiplicity of networked pervasive devices, and wherein said analysis includes fusing said data from the multiplicity of sensors on the multiplicity of networked pervasive devices; and

facilitating notification of at least one of said subscribers of said occurrence of said event, wherein said notification of said environmental event is provided from the centralized server to at least one of the multiplicity of networked pervasive devices from which said data was obtained, and wherein one or more of said steps are performed by a hardware device, wherein the at least one of the multiplicity of networked pervasive devices functions as both a provider of said data pertaining to the environmental information which is analyzed to determine the occurrence of the at least one environmental event, and a device through which the at least one of said subscribers is notified of said occurrence of said environmental event.

2. The method of claim 1, wherein said analysis is performed to determine a probability that the at least one environmental event is occurring in real time at at least one of the multiplicity of networked pervasive devices.

3. The method of claim 2, wherein the probability is compared to a threshold.

4. The method of claim 3, wherein if the probability exceeds the threshold, said notification of said environmental event is provided from the centralized server to the at least one networked pervasive device.

5. The method of claim 1, wherein said fusing comprises integrating at least two sensed variables with each other to determine a conclusion based on the at least two sensed variables.

6. The method of claim 5, wherein the conclusion is a prediction of an environmental condition based on the at least two sensed variables.

7. The method of claim 5, wherein the conclusion is a prediction of desirability of an activity based on the at least two sensed variables and pre-existing information on ideal conditions for the activity.