[특허]Probabilistic map for a building

Honeywell International Inc.

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특허 상세정보

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Probabilistic map for a building

특허상세정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G08F-015/00
미국특허분류(USC)	702/181; 702/031; 702/094; 702/116; 700/050; 700/051; 700/021; 706/052; 706/014; 340/600; 340/627; 714/001
출원번호	US-0171143 (2002-06-13)
발명자 / 주소	Kreichauf, Ruth D.
출원인 / 주소	Honeywell International Inc.
대리인 / 주소	Fredrick Kris T.
인용정보	피인용 횟수 : 8 인용 특허 : 4

초록
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A probabilistic map generator for indicating the probability of a chemical, biological or other agent in a structure or building. The building is mapped in to floors and several levels of cubes in each floor. The probability of an agent's presence is indicated for each cube. Sensors are placed in various locations on each floor of the building. Inputs from the sensors go to a data processor. The probabilities of an agent's presence may be calculated by the data processor in conjunction with a Kalman filter. The probabilities may be displayed in a diagram...

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1. An apparatus for generating a probabilistic map of an agent in a building, comprising:a processor;a database connected to said processor;a sensing mechanism in the building connected to said processor; andwherein:said database has a model of the building;data from said sensing mechanism may be processed by said processor for input to said model; andthe model has a volume divided into subvolumes to identify various places in the building, and wherein each subvolume indicates a probability that an agent may be in a subvolume of the building. 2. The apparatus of claim 1, further comprising a filter connected to said processor. 3. The apparatus of claim 2, further comprising an indicator connected to said processor. 4. The apparatus of claim 3, wherein said indicator is able to display the probability of each subvolume of the model. 5. The apparatus of claim 4, wherein each floor of the building represented in the model has a plurality of subvolumes. 6. The apparatus of claim 5, wherein each floor of the building has a plurality of levels of subvolumes. 7. The apparatus of claim 6, wherein said filter provides state estimates of location and concentration of an agent in the building, which can be indicated by the respective subvolumes of the model. 8. The apparatus of claim 7, wherein said filter uses continuous state updates and discrete updates upon a receipt of new data from said sensing mechanism. 9. The apparatus of claim 8, wherein said filter provides state estimates of pressure and/or flow in the building which can be indicated by the respective subvolumes of the model. 10. The apparatus of claim 9, wherein said filter comprises parameter inputs comprising:building geometry;conditions external to the building; and/orsensor descriptions and locations. 11. The apparatus of claim 10, wherein said filter comprises control inputs comprising at least some various heat, ventilation and air conditioning settings. 12. The apparatus of claim 11, wherein said filter is a Kalman filter. 13. A probabilistic map generator comprising:a processor;a sensor suite connected to said processor; anda Kalman filter connected to said processor; andwherein said Kalman filter and processor process data from said sensor suite into a probabilistic map. 14. The generator of claim 13, wherein:said sensor suite is a set of sensors situated in a volume;the volume comprises subvolumes;the probabilistic map indicates a probability of an agent's presence in at least one subvolume. 15. The generator of claim 14, wherein:the volume is a building; andthe parameter inputs of the building are entered into said processor. 16. The generator of claim 15, wherein the probabilities of the at least one subvolume may be displayed. 17. A method for generating a probabilistic map, comprising:taking data from a plurality of sensors situated in a structure;entering the data into a processor;constructing a model having parameters of the structure;entering the model and parameters into the processor; andprocessing with a Kalman filter the data and parameters into probabilities of an agent in the structure. 18. The method of claim 17, further comprising:segregating the model into subvolumes; andprocessing a probability of an agent in each subvolume. 19. The methods of claim 18, further comprising displaying the probabilities in a map of subvolumes of the model of the structure. 20. A probabilistic map generator comprising:means for sensing data in a structure;means for processing connected to said means for sensing;means for modeling the structure, connected to said means for processing;means for Kalman filter processing connected to said means for processing; andmeans for displaying a probabilistic map, connected to said means for Kalman filter processing. 21. An apparatus for generating a probabilistic map of an agent in a building, comprising:a processor;a database connected to the processor;a sensing mechanism in the building connected to the processor;a filter connec ted to the processor; andan indicator connected to the processor; andwherein:the database has a model of the building;data from the sensing mechanism may be processed by the processor for input to the model;the model has a volume divided into subvolumes to identify various places in the building;each subvolume indicates a probability that an agent may be in a subvolume of the building;indicator is able to display the probability of each subvolume of the model;each floor of the building represented in the model has a plurality of subvolumes;each floor of the building has a plurality of levels of subvolumes; andthe filter provides state estimates of location and concentration of an agent in the building, which can be indicated by the respective subvolumes of the model. 22. The apparatus of claim 21, wherein the filter uses continuous state updates and discrete updates upon a receipt of new data from the sensing mechanism. 23. The apparatus of claim 22, wherein the filter provides state estimates of pressure and/or flow in the building which can be indicated by the respective subvolumes of the model. 24. The apparatus of claim 23, wherein the filter comprises parameter inputs comprising:building geometry;conditions external to the building; and/orsensor descriptions and locations. 25. The apparatus of claim 24, wherein the filter comprises control inputs comprising at least some various heat, ventilation and air conditioning settings. 26. An apparatus for generating a probabilistic map of an agent in a building, comprising:a sensing mechanism in the building;a filter;an indicator;a processor connected to the sensing mechanism, the filter and the indicator; anda database connected to the processor; andwherein:the database has a model of the building;data from the sensing mechanism is processed by the processor for input to the model;the model has a volume divided into subvolumes to identity various places in the building;each subvolume indicates a probability that an agent may be in a subvolume of the building;indicator is able to display the probability of each subvolume of the model; andthe filter provides state estimates of location and concentration of an agent in the building, according to the respective subvolumes of the model. 27. The apparatus of claim 26, wherein the filter uses continuous state updates and discrete updates upon a receipt of new data from the sensing mechanism. 28. The apparatus of claim 27, wherein the filter provides state estimates of pressure and/or flow in the building which is indicated by the respective subvolumes of the model. 29. The apparatus of claim 26, wherein the filter comprises parameter inputs comprising:building geometry;conditions external to the building; and/orsensor descriptions and locations. 30. The apparatus of claim 29, wherein the filter comprises control inputs comprising at least some various heat, ventilation and air conditioning settings. 31. An apparatus for generating a probabilistic map of a chemical/biological agent in a building, comprising:an agent sensing mechanism in the building;a filter;an indicator;a processor connected to the agent sensing mechanism, the filter and the indicator; anda database connected to the processor, andwherein:the database comprises a model of the building;data from the sensing mechanism is processed by the processor for input to the model;the model has a volume divided into subvolumes to represent various subvolumes in the building, and wherein each subvolume of the model based on data from the processor indicates a probability that an agent is in a corresponding subvolume of the building; andthe indicator displays the probability of each subvolume of the model. 32. The apparatus of claim 31, wherein each floor of the building represented in the model has a plurality of subvolumes. 33. The apparatus of claim 32, wherein the filter has parameter inputs comprising:building geometry;conditions external to the building; andsensor descriptions a nd locations. 34. The apparatus of claim 33, wherein:the filter provides state estimates of location and concentration of an agent in the building, which are indicated by the respective subvolumes of the model; andthe filter uses continuous state updates and discrete updates upon a receipt of new data from the sensing mechanism. 35. The apparatus of claim 34, wherein the filter provides state estimates of pressure and flow in the building are indicated by the respective subvolumes of the model. 36. The apparatus of claim 35, wherein the filter comprises control inputs comprising at least some various heat, ventilation and air conditioning settings.

이 특허에 인용된 특허 (4)

이 특허를 인용한 특허 피인용횟수: 8

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Probabilistic map for a building

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