US20070149109A1 - Occupancy based ventilation system - Google Patents
Occupancy based ventilation system Download PDFInfo
- Publication number
- US20070149109A1 US20070149109A1 US11/318,047 US31804705A US2007149109A1 US 20070149109 A1 US20070149109 A1 US 20070149109A1 US 31804705 A US31804705 A US 31804705A US 2007149109 A1 US2007149109 A1 US 2007149109A1
- Authority
- US
- United States
- Prior art keywords
- room
- ventilation
- area
- amount
- processor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
Definitions
- the present invention relates to room ventilation systems. More particularly, the invention relates to an occupancy based system in which the amount of ventilation is determined by the number of persons in the area under consideration, such as a meeting room and the like.
- a well controlled room allows the occupants to be comfortable and thus more efficient.
- the temperature, CO 2 concentration, humidity, and body odor all increase with time.
- Working efficiency in this environment can be low as discomfort increases.
- Another factor in room air quality is the number of people in the room at any one time. More persons means more CO 2 being produced as the people breathe. Typical sensor based solutions do not take into account the number of persons in the room.
- a particular advantage in room ventilation control would be a system that takes into account the number of persons entering and leaving a room as well as the degree of activity in the room.
- the occupancy based ventilation system for indoor air quality of a predetermined area adjusts the room ventilation system for providing outdoor air to the predetermined area as needed and as determined by the CO 2 concentration in the room as it is used by the number of people in the room.
- the system includes a counter for counting the number of persons in the area and the amount of time each person remains in the area.
- the counter produces a signal representing the sum of the number of persons times the amount of time for each person.
- the counter is positioned by the entrance to the area.
- the counter may use any sensor that is capable of identifying the entrance or egress of a person. Preferred sensors are selected from photo cells, IR detectors, RF detectors, pressure plates and a turnstile.
- the system also includes a processor that adjusts the ventilation system for the area based on the signal produced.
- the processor determines the amount of ventilation needed to maintain the CO 2 concentration in the room air at a predetermined level.
- the preferred CO 2 concentration is 500 ppm or less.
- the processor is further adapted to adjust the amount of ventilation based on the outside air temperature or based on the air temperature in the room.
- the present invention operates as a system in which the amount of CO 2 present in the room is determined as a function of the number of people in the room and the length of time each is present. The sum of person-time is directly proportional to the increase in CO 2 that the persons produce simply by exhaling. Presented below in Table I, the amount of CO 2 produced per individual is shown for an enclosed area or room depending on the activity of the person. More work produces more CO 2 . TABLE I Activity Metabolic Rate (W) CO 2 Sedentary work 100 0.004 Light work 100-300 0.006 Moderate work 300-500 0.012 Heavy work 500-650 0.020 Very heavy work 650-800 0.026
- the present invention regulates the amount of outside air that the ventilation management system brings into the room.
- Ventilation air or outside air has a CO 2 concentration normally of about 300 ppm.
- the maximum desirable concentration in the room should be 500 ppm or lower a counter for counting the number of persons in said area and the amount of time each person remains in said area, said counter producing a signal representing the sum of the number of persons times the amount of time spent in the room for each person.
- dP CO2 /dt the rate of CO 2 partial pressure change in the room
- V CO2 (t) is the rate of 300 ppm CO 2 /air ventilation into the room
- N(t) is the number of people in the room as a function of time
- j CO2 is the average CO 2 respiration rate of a person (assumed to be constant and independent of specific individuals).
- the particular processor will be programmed to make the appropriate calculations and send a signal to the ventilation system for the room.
- Using the present invention allows the elimination of many sensors that would otherwise be needed to sense temperature, CO 2 concentration, humidity, body odor and the like. By simply counting each and every time a person goes into and out of the room, and since the metabolism of an average person is more or less the same, the summed number of person/time units is correlated to the CO 2 generation rate and the room can be maintained at an efficient and comfortable atmosphere.
Abstract
An occupancy based ventilation system for indoor air quality that uses a counter to count the number of persons in a specific indoor room or other area, wherein the number of persons determines the degree of ventilation from the room's ventilation system. The counter would keep track of both the number of persons and the length of time each is present in the room. A feedback control algorithm between the counting device and the ventilation management controls provides for automatic control of the amount of ventilation needed to insure a comfortable and efficient environment.
Description
- The present invention relates to room ventilation systems. More particularly, the invention relates to an occupancy based system in which the amount of ventilation is determined by the number of persons in the area under consideration, such as a meeting room and the like.
- With the energy crisis looming and with expectations that energy costs will be increasing, efficient indoor air quality control is highly desired. A well controlled room allows the occupants to be comfortable and thus more efficient. In a meeting room, for example, as the meeting proceeds, the temperature, CO2 concentration, humidity, and body odor all increase with time. Working efficiency in this environment can be low as discomfort increases.
- One possible solution to this concern would be to assemble an array of sensors that would provide data as to each parameter, and have a controller adjust ventilation and heat or cooling as needed. This would involve a large expense, of course, since each sensor would have to be installed in the room and a microprocessor or other controller would then adjust the flow of air and the temperature as indicated by the sensors.
- Another factor in room air quality is the number of people in the room at any one time. More persons means more CO2 being produced as the people breathe. Typical sensor based solutions do not take into account the number of persons in the room.
- It would be a great advantage in the art if a simpler, more economic solution to the concerns over room quality could be provided.
- Yet another advantage would be if an energy efficient indoor air quality control solution could be provided that uses a sensor that adjusts the amount of ventilation based on a simple measurement such as the number of persons in the room.
- A particular advantage in room ventilation control would be a system that takes into account the number of persons entering and leaving a room as well as the degree of activity in the room.
- Other advantages will appear hereinafter.
- It has now been discovered that the above and other advantages of the present invention may be obtained in the following manner. Specifically, instead of sensing a plurality of variables, it has been discovered that a correlation between the number of people in a room and the length of time they are present provides an accurate picture of the ventilation requirements of the room.
- This discovery is based on the knowledge that the metabolism of an average person is more or less the same as any other average person. Thus, it has been discovered that the number of people correlates closely to the CO2 that they generate. A feedback control algorithm between the counting device and the ventilation management device allows the system to tune ventilation of the room to the number of people present at any given time.
- The occupancy based ventilation system for indoor air quality of a predetermined area adjusts the room ventilation system for providing outdoor air to the predetermined area as needed and as determined by the CO2 concentration in the room as it is used by the number of people in the room.
- The system includes a counter for counting the number of persons in the area and the amount of time each person remains in the area. The counter produces a signal representing the sum of the number of persons times the amount of time for each person. The counter is positioned by the entrance to the area. The counter may use any sensor that is capable of identifying the entrance or egress of a person. Preferred sensors are selected from photo cells, IR detectors, RF detectors, pressure plates and a turnstile.
- The system also includes a processor that adjusts the ventilation system for the area based on the signal produced. The processor determines the amount of ventilation needed to maintain the CO2 concentration in the room air at a predetermined level. The preferred CO2 concentration is 500 ppm or less. In a preferred embodiment, the processor is further adapted to adjust the amount of ventilation based on the outside air temperature or based on the air temperature in the room.
- The present invention operates as a system in which the amount of CO2 present in the room is determined as a function of the number of people in the room and the length of time each is present. The sum of person-time is directly proportional to the increase in CO2 that the persons produce simply by exhaling. Presented below in Table I, the amount of CO2 produced per individual is shown for an enclosed area or room depending on the activity of the person. More work produces more CO2.
TABLE I Activity Metabolic Rate (W) CO2 Sedentary work 100 0.004 Light work 100-300 0.006 Moderate work 300-500 0.012 Heavy work 500-650 0.020 Very heavy work 650-800 0.026 - The present invention regulates the amount of outside air that the ventilation management system brings into the room. Ventilation air or outside air has a CO2 concentration normally of about 300 ppm. The maximum desirable concentration in the room should be 500 ppm or lower a counter for counting the number of persons in said area and the amount of time each person remains in said area, said counter producing a signal representing the sum of the number of persons times the amount of time spent in the room for each person. The processor adjusts the ventilation system controls based on the signal produced according to an algorithm, such as:
where dPCO2/dt is the rate of CO2 partial pressure change in the room, VCO2 (t) is the rate of 300 ppm CO2/air ventilation into the room, N(t) is the number of people in the room as a function of time, and jCO2 is the average CO2 respiration rate of a person (assumed to be constant and independent of specific individuals). - The particular processor will be programmed to make the appropriate calculations and send a signal to the ventilation system for the room. Using the present invention allows the elimination of many sensors that would otherwise be needed to sense temperature, CO2 concentration, humidity, body odor and the like. By simply counting each and every time a person goes into and out of the room, and since the metabolism of an average person is more or less the same, the summed number of person/time units is correlated to the CO2 generation rate and the room can be maintained at an efficient and comfortable atmosphere.
- While particular embodiments of the present invention have been illustrated and described, it is not intended to limit the invention, except as defined by the following claims.
Claims (21)
1. An occupancy based ventilation system for indoor air quality of a predetermined area, comprising:
a room ventilation system for providing outdoor air to said predetermined area;
a counter for counting the number of persons in said area and the amount of time each person remains in said area, said counter producing a signal representing the sum of the number of persons times the amount of time for each person; and
a processor for adjusting said ventilation system for said area based on the signal produced, said processor being adapted to determine the amount of ventilation needed to maintain the CO2 concentration in the room air at a predetermined level.
2. The system of claim 1 , wherein said CO2 concentration is 500 ppm or less.
3. The system of claim 1 , wherein said counter is positioned by the entrance to said area.
4. The system of claim 1 , wherein said counter includes a sensor selected from photo cells, IR detectors, RF detectors, pressure plates and a turnstile.
5. The system of claim 1 , wherein said processor is further adapted to adjust the amount of ventilation based on the outside air temperature.
6. The system of claim 5 , wherein first detector further includes a first filter that passes only said first IR band and said second detector further includes a second filter that passes only said second IR band.
7. The system of claim 1 , wherein said processor uses the algorithm:
where dPCO2/dt is the rate of CO2 partial pressure change in the room, VCO2 (t) is the rate of 300 ppm CO2/air ventilation into the room, N(t) is the number of people in the room as a function of time, and jCO2 is the average CO2 respiration rate of a person.
8. An occupancy based ventilation system for indoor air quality of a predetermined area, comprising:
room ventilation system means for providing outdoor air to said predetermined area;
counter means for counting the number of persons in said area and the amount of time each person remains in said area, said counter producing a signal representing the sum of the number of persons times the amount of time for each person; and
processor means for adjusting said ventilation system for said area based on the signal produced, said processor being adapted to determine the amount of ventilation needed to maintain the CO2 concentration in the room air at a predetermined level.
9. The system of claim 8 , wherein said CO2 concentration is 500 ppm or less.
10. The system of claim 8 , wherein said counter means is positioned by the entrance to said area.
11. The system of claim 8 , wherein said counter means includes a sensor selected from photo cells, IR detectors, RF detectors, pressure plates and a turnstile.
12. The system of claim 8 , wherein said processor means is further adapted to adjust the amount of ventilation based on the outside air temperature.
13. The system of claim 8 , wherein said processor means is further adapted to adjust the amount of ventilation based on the air temperature in the room.
14. The system of claim 8 , wherein said processor means uses the algorithm:
where dPCO2/dt is the rate of CO2 partial pressure change in the room, VCO2 (t) is the rate of 300 ppm CO2/air ventilation into the room, N(t) is the number of people in the room as a function of time, and jCO2 is the average CO2 respiration rate of a person.
15. A method for controlling indoor air quality of a predetermined area having a room ventilation system for providing outdoor air to said predetermined area, comprising the steps of:
positioning a counter for counting the number of persons in said area and the amount of time each person remains in said area, and producing a signal representing the sum of the number of persons times the amount of time for each person; and
adjusting said ventilation system for said area based on the signal produced using a processor, said processor being adapted to determine the amount of ventilation needed to maintain the CO2 concentration in the room air at a predetermined level.
16. The method of claim 15 , wherein said CO2 concentration is 500 ppm or less.
17. The method of claim 15 , wherein said counter is positioned by the entrance to said area.
18. The method of claim 15 , wherein said counter includes a sensor selected from photo cells, IR detectors, RF detectors, pressure plates and a turnstile.
19. The method of claim 15 , wherein said processor adjusts the amount of ventilation based on the outside air temperature.
20. The method of claim 15 , wherein said processor adjusts the amount of ventilation based on the air temperature in the room.
21. The method of claim 15 , wherein said processor uses the algorithm:
where dPCO2/dt is the rate of CO2 partial pressure change in the room, VCO2 (t) is the rate of 300 ppm CO2/air ventilation into the room, N(t) is the number of people in the room as a function of time, and jCO2 is the average CO2 respiration rate of a person.
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/318,047 US20070149109A1 (en) | 2005-12-23 | 2005-12-23 | Occupancy based ventilation system |
CNA2006800486418A CN101346590A (en) | 2005-12-23 | 2006-12-18 | Occupancy based ventilation system |
EP06848681A EP1982123A2 (en) | 2005-12-23 | 2006-12-18 | Occupancy based ventilation system |
PCT/US2006/048224 WO2007073477A2 (en) | 2005-12-23 | 2006-12-18 | Occupancy based ventilation system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/318,047 US20070149109A1 (en) | 2005-12-23 | 2005-12-23 | Occupancy based ventilation system |
Publications (1)
Publication Number | Publication Date |
---|---|
US20070149109A1 true US20070149109A1 (en) | 2007-06-28 |
Family
ID=38069241
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/318,047 Abandoned US20070149109A1 (en) | 2005-12-23 | 2005-12-23 | Occupancy based ventilation system |
Country Status (4)
Country | Link |
---|---|
US (1) | US20070149109A1 (en) |
EP (1) | EP1982123A2 (en) |
CN (1) | CN101346590A (en) |
WO (1) | WO2007073477A2 (en) |
Cited By (16)
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US20090108082A1 (en) * | 2007-10-31 | 2009-04-30 | Richard Goldmann | Programmatic climate control of an exercise environment |
US20110189938A1 (en) * | 2010-01-29 | 2011-08-04 | Sanyo Electric Co., Ltd. | Ventilation control apparatus |
US20110186644A1 (en) * | 2010-01-29 | 2011-08-04 | Sanyo Electric Co., Ltd. | Air-conditioning control apparatus |
CN102353751A (en) * | 2011-06-13 | 2012-02-15 | 北京世坤环境科技有限公司 | Method for evaluating indoor air quality and system for monitoring and analyzing indoor air quality |
US20130275503A1 (en) * | 2010-12-23 | 2013-10-17 | Yung-Suk Sul | System for invigorating online sports match |
CN103472502A (en) * | 2013-09-18 | 2013-12-25 | 中山大学 | Method for dynamically showing regional air quality and meteorological field |
US20140069131A1 (en) * | 2012-09-13 | 2014-03-13 | Mitsubishi Electric Corporation | Air conditioning system |
CN105318487A (en) * | 2014-06-18 | 2016-02-10 | 美的集团股份有限公司 | Air-conditioner control method and air-conditioner control system |
CN105485840A (en) * | 2015-12-16 | 2016-04-13 | 深圳达实智能股份有限公司 | Control method and system for air supply of air conditioner |
US9435557B2 (en) | 2013-01-24 | 2016-09-06 | Belimo Holding Ag | Control unit for an HVAC system comprising an economizer and method for operating such control unit |
US9702566B2 (en) | 2014-01-28 | 2017-07-11 | Illinois Tool Works Inc. | Cooking exhaust hood ventilation system and related methods |
WO2018039433A1 (en) | 2016-08-24 | 2018-03-01 | Delos Living Llc | Systems, methods and articles for enhancing wellness associated with habitable environments |
US10088820B2 (en) * | 2009-12-02 | 2018-10-02 | Thomas David Aiken | Occupancy based demand controlled utility system |
WO2019136097A1 (en) * | 2018-01-02 | 2019-07-11 | Arizona Board Of Regents On Behalf Of Arizona State University | Method and system for assessing metabolic rate and maintaining indoor air quality and efficient ventilation energy use with passive environmental sensors |
US10613504B2 (en) | 2016-07-05 | 2020-04-07 | Feedback Solutions Inc. | Methods and systems for determining occupancy of a zone in a building |
WO2020204794A1 (en) * | 2019-04-01 | 2020-10-08 | Mikael Nutsos | Method for managing data of a ventilation system |
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JP5436692B2 (en) * | 2010-10-18 | 2014-03-05 | 三菱電機株式会社 | Air conditioning control device, air conditioning control method and program |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5418366A (en) * | 1994-05-05 | 1995-05-23 | Santa Barbara Research Center | IR-based nitric oxide sensor having water vapor compensation |
US6369716B1 (en) * | 2000-12-01 | 2002-04-09 | Johnson Controls Technology Company | System and method for controlling air quality in a room |
US20030199244A1 (en) * | 2002-04-22 | 2003-10-23 | Honeywell International Inc. | Air quality control system based on occupancy |
US20060030253A1 (en) * | 2004-06-15 | 2006-02-09 | Denso Corporation | Inside and outside air change-over control unit for vehicle use |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000088320A (en) * | 1998-09-10 | 2000-03-31 | Mitsubishi Electric Building Techno Service Co Ltd | Automatic ventilation system |
JP2002195627A (en) * | 2000-12-26 | 2002-07-10 | Toshiba Air Conditioning Co Ltd | Air conditioner |
-
2005
- 2005-12-23 US US11/318,047 patent/US20070149109A1/en not_active Abandoned
-
2006
- 2006-12-18 WO PCT/US2006/048224 patent/WO2007073477A2/en active Application Filing
- 2006-12-18 EP EP06848681A patent/EP1982123A2/en not_active Withdrawn
- 2006-12-18 CN CNA2006800486418A patent/CN101346590A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5418366A (en) * | 1994-05-05 | 1995-05-23 | Santa Barbara Research Center | IR-based nitric oxide sensor having water vapor compensation |
US6369716B1 (en) * | 2000-12-01 | 2002-04-09 | Johnson Controls Technology Company | System and method for controlling air quality in a room |
US20030199244A1 (en) * | 2002-04-22 | 2003-10-23 | Honeywell International Inc. | Air quality control system based on occupancy |
US20060030253A1 (en) * | 2004-06-15 | 2006-02-09 | Denso Corporation | Inside and outside air change-over control unit for vehicle use |
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US20090108082A1 (en) * | 2007-10-31 | 2009-04-30 | Richard Goldmann | Programmatic climate control of an exercise environment |
US10088820B2 (en) * | 2009-12-02 | 2018-10-02 | Thomas David Aiken | Occupancy based demand controlled utility system |
US9388997B2 (en) * | 2010-01-20 | 2016-07-12 | Panasonic Intellectual Property Management Co., Ltd. | Air-conditioning control apparatus |
US20110186644A1 (en) * | 2010-01-29 | 2011-08-04 | Sanyo Electric Co., Ltd. | Air-conditioning control apparatus |
US20110189938A1 (en) * | 2010-01-29 | 2011-08-04 | Sanyo Electric Co., Ltd. | Ventilation control apparatus |
US20130275503A1 (en) * | 2010-12-23 | 2013-10-17 | Yung-Suk Sul | System for invigorating online sports match |
CN102353751A (en) * | 2011-06-13 | 2012-02-15 | 北京世坤环境科技有限公司 | Method for evaluating indoor air quality and system for monitoring and analyzing indoor air quality |
US20140069131A1 (en) * | 2012-09-13 | 2014-03-13 | Mitsubishi Electric Corporation | Air conditioning system |
US9435557B2 (en) | 2013-01-24 | 2016-09-06 | Belimo Holding Ag | Control unit for an HVAC system comprising an economizer and method for operating such control unit |
CN103472502B (en) * | 2013-09-18 | 2014-09-17 | 中山大学 | Method for dynamically showing regional air quality and meteorological field |
CN103472502A (en) * | 2013-09-18 | 2013-12-25 | 中山大学 | Method for dynamically showing regional air quality and meteorological field |
US9702566B2 (en) | 2014-01-28 | 2017-07-11 | Illinois Tool Works Inc. | Cooking exhaust hood ventilation system and related methods |
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CN105318487A (en) * | 2014-06-18 | 2016-02-10 | 美的集团股份有限公司 | Air-conditioner control method and air-conditioner control system |
CN105485840A (en) * | 2015-12-16 | 2016-04-13 | 深圳达实智能股份有限公司 | Control method and system for air supply of air conditioner |
US10613504B2 (en) | 2016-07-05 | 2020-04-07 | Feedback Solutions Inc. | Methods and systems for determining occupancy of a zone in a building |
WO2018039433A1 (en) | 2016-08-24 | 2018-03-01 | Delos Living Llc | Systems, methods and articles for enhancing wellness associated with habitable environments |
WO2019136097A1 (en) * | 2018-01-02 | 2019-07-11 | Arizona Board Of Regents On Behalf Of Arizona State University | Method and system for assessing metabolic rate and maintaining indoor air quality and efficient ventilation energy use with passive environmental sensors |
US11566801B2 (en) | 2018-01-02 | 2023-01-31 | Arizona Board Of Regents On Behalf Of Arizona State University | Method and system for assessing metabolic rate and maintaining indoor air quality and efficient ventilation energy use with passive environmental sensors |
WO2020204794A1 (en) * | 2019-04-01 | 2020-10-08 | Mikael Nutsos | Method for managing data of a ventilation system |
EP3948098A4 (en) * | 2019-04-01 | 2022-12-21 | NUTSOS, Mikael | Method for managing data of a ventilation system |
SE545781C2 (en) * | 2019-04-01 | 2024-01-09 | Mikael Nutsos | Method for on line monitoring of air flow at air tenninals of a ventilation system |
Also Published As
Publication number | Publication date |
---|---|
CN101346590A (en) | 2009-01-14 |
WO2007073477A3 (en) | 2007-08-23 |
WO2007073477A2 (en) | 2007-06-28 |
EP1982123A2 (en) | 2008-10-22 |
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