CN105091189A - Method and device for identifying non-human body heat source - Google Patents
Method and device for identifying non-human body heat source Download PDFInfo
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- CN105091189A CN105091189A CN201410190290.0A CN201410190290A CN105091189A CN 105091189 A CN105091189 A CN 105091189A CN 201410190290 A CN201410190290 A CN 201410190290A CN 105091189 A CN105091189 A CN 105091189A
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Abstract
The embodiment of the invention discloses a method and a device for identifying a non-human body heat source. The method comprises the following steps of detecting position information of at least one heat source at different time nodes in a set area; analyzing change characteristics of the position information of the at least one heat source, and identifying the non-human body heat source contained in the set area according to the change characteristics. According to the technical scheme in the embodiment of the invention, the identification accuracy of the non-human body heat source can be improved.
Description
Technical field
The present invention relates to air-conditioning technical field, be specifically related to a kind of non-human thermal source recognition methods and device.
Background technology
Current, human body location technology based on infrared information starts to be applied on air-conditioning, in prior art, thermal source is located by infrared thermal sensors, gather the infrared thermal release electric information of room endogenous pyrogen, directly the infrared thermal release electric information collected is carried out various algorithm process, with thermal source infrared signature data separation human body and non-human, finally judge that thermal source is human body thermal source or non-human thermal source.
This existing infrared human body location technology be applied on air-conditioning, although can heat outputting source position preferably, also most of pyrotoxin can be distinguished by pyrotoxin infrared signature information, but, when the comparatively near and surface temperature of pyrotoxin range sensor and human body temperature similar time, or but although pyrotoxin is distant when generating heat obvious, be difficult to by this pyrotoxin with scan the position of human body thermal source obtained and make a distinction.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of non-human thermal source recognition methods and device, to improve the accuracy of non-human thermal source identification.
The embodiment of the present invention is by the following technical solutions:
First aspect, embodiments provides a kind of non-human thermal source recognition methods, comprising:
Detect the positional information of at least one thermal source on different time node in setting regions;
Analyze the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
Second aspect, the embodiment of the present invention additionally provides a kind of non-human thermal source recognition device, comprising:
Positional information detecting unit, for detecting the positional information of at least one thermal source on different time node in setting regions;
Analyze recognition unit, for analyzing the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
The Advantageous Effects of the technical scheme that the embodiment of the present invention proposes is:
The technical scheme of the embodiment of the present invention is by detecting the positional information of at least one thermal source on different time node in setting regions, analyze the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification, can improve the accuracy of non-human thermal source identification.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing the embodiment of the present invention is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the content of the embodiment of the present invention and these accompanying drawings.
Fig. 1 is the non-human thermal source recognition methods flow chart described in the specific embodiment of the invention one;
Fig. 2 is the non-human thermal source recognition methods flow chart described in the specific embodiment of the invention two;
Fig. 3 is the structured flowchart of the non-human thermal source recognition device described in the specific embodiment of the invention three.
Detailed description of the invention
The technical problem solved for making the present invention, the technical scheme of employing and the technique effect that reaches are clearly, be described in further detail below in conjunction with the technical scheme of accompanying drawing to the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those skilled in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Technical scheme of the present invention is further illustrated by detailed description of the invention below in conjunction with accompanying drawing.
Embodiment one
Fig. 1 is the non-human thermal source recognition methods flow chart described in the present embodiment, the present embodiment is applicable to situation about identifying non-human thermal source, comprise air-conditioning to identify non-human thermal source, air conditioner control strategy is adjusted accordingly to make air-conditioning, the method can be performed by the central processing unit of equipment (such as air-conditioning, refrigerator, security device etc.), also the control program can installed by equipment performs, require that this equipment is provided with the checkout gear with thermal source and heat source position information detection functions, described checkout gear includes but not limited to infrared heat sensor.
As shown in Figure 1, the non-human thermal source recognition methods described in the present embodiment comprises:
The positional information of at least one thermal source on different time node in S101, detection setting regions.
In the present embodiment, the central processing unit of control program or equipment controls checkout gear and detects the positional information of at least one thermal source on different time node in setting regions, wherein said positional information can be the coordinate in absolute geographic coordinate system, also can be the relative position of described setting regions.
Usually, program or equipment central processing unit are by periodically detecting the positional information of at least one thermal source on different time node in setting regions.
Wherein said checkout gear (such as infrared heat sensor) has thermal source and heat source position information detection functions, includes but not limited to infrared heat sensor.
The variation characteristic of the positional information of S102, analysis at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
Because people can walk about, within certain hour scope, human body is difficult to keep fixing invariant position, position residing for human body has certain not stationarity, in view of variation characteristic different of human body thermal source and the positional information of non-human thermal source, the difference of the variation characteristic of the positional information according to human body thermal source and non-human thermal source of this step identifies non-human thermal source from setting regions.Certainly, those skilled in the art it should be explicitly made clear at this point, the human body described in this description is a general term, refers to the object with this natural function of mobility, includes but not limited to humans and animals.
And the variation characteristic of the positional information of thermal source will be extracted, then at least need to obtain the positional information of this thermal source at least two timing nodes, the variation characteristic of the positional information obtaining this thermal source that these positional informations are compared, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
The technical scheme of the present embodiment one is by detecting the positional information of at least one thermal source on different time node in setting regions, analyze the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification, can improve the accuracy of non-human thermal source identification.
As preferably, the operation detecting the positional information of at least one thermal source on different time node in setting regions specifically comprises: successively at least twice sweep setting regions, to obtain the infrared signature information in described setting regions, scans according to each time the position that the infrared signature information obtained calculates the thermal source comprised in described setting regions.
Or by: in setting-up time length, periodically detect the positional information of at least one thermal source on different time node in setting regions.
As preferably, analyze the variation characteristic of the positional information of at least one thermal source described, the operation of the non-human thermal source comprised in setting regions according to described variation characteristic identification can comprise: judge that whether the positional information of same thermal source on each timing node be constant, if then determine that described thermal source is non-human thermal source.
Embodiment two
Fig. 2 is the non-human thermal source recognition methods flow chart described in the present embodiment, as shown in Figure 2.This reality is central processing unit or the control program of equipment (such as air-conditioning, refrigerator, security device etc.) from the executive agent of example.Non-human thermal source recognition methods described in the present embodiment comprises:
S201, infrared module start scanning.
The central processing unit of equipment (such as air-conditioning, refrigerator, security device etc.) controls infrared module by detecting the distribution of scanning room temperature and the infrared thermal releasing signal of telecommunication.
S202, the end of scan export first time room internal heat generation source location information.
After infrared module run-down, Detection Information is sent to central processing unit, central processing unit, through software algorithm process, exports Studies of Human Body Heat source position, now first time scanning result record.
S203, interval start module scans in five minutes again.
Through five minutes, the central processing unit of equipment (such as air-conditioning, refrigerator, security device etc.) controlled infrared module second time and starts scanning, obtains Temperature Distribution and infrared signal.
S204, output second time room pyrotoxin positional information, compared with first time.
In this operation, the operation exporting second time room position of human body information is identical with S202, and therefore not to repeat here.Second time second time room is sent out and is held source location information and compare with first time room pyrotoxin positional information.
S205, judge whether that position does not have vicissitudinous point, if then perform step S206, otherwise performed step S209.
Those skilled in the art it should be explicitly made clear at this point, the some generation described in the present embodiment be the geographical position of a thermal source, not traditional point.
S206, record position do not have vicissitudinous point coordinates.
S207, judge whether lastingly to scan the never change of this point for 24 times, if then perform step S206, otherwise perform step S209.
If S208 judges that this point is non-human thermal source, reject from Output rusults, terminate.
S209, normal output position information, return step S203.
The present embodiment is for very concrete embodiment, by infrared module periodically run-down room temperature distribution in every five minutes and the infrared thermal releasing signal of telecommunication, follow the tracks of the position of thermal source, the thermal source that position within two hours does not change is defined as non-human thermal source, the accuracy of non-human thermal source identification can be improved.
Embodiment three
Fig. 3 is the structured flowchart of the non-human thermal source recognition device described in the present embodiment, and as shown in Figure 3, the non-human thermal source recognition device described in the present embodiment comprises:
Positional information detecting unit 301, for detecting the positional information of at least one thermal source on different time node in setting regions;
Analyze recognition unit 302, for analyzing the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
Further, described positional information detecting unit 301 specifically for: successively at least twice sweep setting regions, to obtain the infrared signature information in described setting regions, scans according to each time the position that the infrared signature information that obtains calculates the thermal source comprised in described setting regions.
Further, described infrared signature information comprises temperature distribution information and pyroelectricity signal.
Or, described positional information detecting unit 301 specifically for: in setting-up time length, periodically detect the positional information of at least one thermal source on different time node in setting regions.
Further, described analysis recognition unit 302 specifically for: judge that whether the positional information of same thermal source on each timing node constant, if then determine that described thermal source is non-human thermal source.
Further, the present embodiment also proposed a kind of air-conditioning, comprises non-human thermal source recognition device as above.
Method is shared in the terminal room geographical position that the product that the present embodiment provides can perform the embodiment of the present invention three to be provided, and possesses the corresponding functional module of manner of execution and beneficial effect.
All or part of content in the technical scheme that above embodiment provides can be realized by software programming, and its software program is stored in the storage medium that can read, storage medium such as: the hard disk in computer, CD or floppy disk.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (11)
1. a non-human thermal source recognition methods, is characterized in that, comprising:
Detect the positional information of at least one thermal source on different time node in setting regions;
Analyze the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
2. non-human thermal source recognition methods according to claim 1, it is characterized in that, the operation detecting the positional information of at least one thermal source on different time node in setting regions specifically comprises: successively at least twice sweep setting regions, to obtain the infrared signature information in described setting regions, scans according to each time the positional information that the infrared signature information obtained calculates the thermal source comprised in described setting regions respectively.
3. non-human thermal source recognition methods according to claim 2, is characterized in that, described infrared signature information comprises temperature distribution information and pyroelectricity signal.
4. non-human thermal source recognition methods according to claim 1, it is characterized in that, the operation detecting the positional information of at least one thermal source on different time node in setting regions specifically comprises: in setting-up time length, periodically detects the positional information of at least one thermal source on different time node in setting regions.
5. according to the arbitrary described non-human thermal source recognition methods of Claims 1-4, it is characterized in that, the variation characteristic of the positional information of at least one thermal source described in described analysis, the operation of the non-human thermal source comprised in setting regions according to described variation characteristic identification specifically comprises: judge that whether the positional information of same thermal source on each timing node be constant, if then determine that described thermal source is non-human thermal source.
6. a non-human thermal source recognition device, is characterized in that, comprising:
Positional information detecting unit, for detecting the positional information of at least one thermal source on different time node in setting regions;
Analyze recognition unit, for analyzing the variation characteristic of the positional information of at least one thermal source described, the non-human thermal source comprised in setting regions according to described variation characteristic identification.
7. non-human thermal source recognition device according to claim 6, it is characterized in that, described positional information detecting unit specifically for: successively at least twice sweep setting regions, to obtain the infrared signature information in described setting regions, scans according to each time the position that the infrared signature information that obtains calculates the thermal source comprised in described setting regions.
8. non-human thermal source recognition device according to claim 7, is characterized in that, described infrared signature information comprises temperature distribution information and pyroelectricity signal.
9. non-human thermal source recognition device according to claim 6, it is characterized in that, described positional information detecting unit specifically for: in setting-up time length, periodically detect the positional information of at least one thermal source on different time node in setting regions.
10. according to the arbitrary described non-human thermal source recognition device of claim 6 to 10, it is characterized in that, described analysis recognition unit specifically for: judge that whether the positional information of same thermal source on each timing node constant, if then determine that described thermal source is non-human thermal source.
11. 1 kinds of air-conditionings, is characterized in that, comprise as arbitrary in claim 6-10 as described in non-human thermal source recognition device.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106247555A (en) * | 2016-08-19 | 2016-12-21 | 青岛海尔空调器有限总公司 | A kind of air conditioning control method and non-human thermal source filtering method based on infrared detection |
| CN106440246A (en) * | 2016-10-26 | 2017-02-22 | 珠海格力电器股份有限公司 | Central air-conditioning system as well as control method and control device thereof |
| CN108734061A (en) * | 2017-04-19 | 2018-11-02 | 台达电子工业股份有限公司 | The non-warning region initialization system and its setting method of personnel's detector |
| CN109269216A (en) * | 2018-09-28 | 2019-01-25 | 珠海格力电器股份有限公司 | Temprature control method, device, equipment, storage medium and processor |
| CN110030678A (en) * | 2019-04-22 | 2019-07-19 | 宁波奥克斯电气股份有限公司 | Air conditioning comfortableness air blowing control method, apparatus and air conditioner |
| CN112378050A (en) * | 2020-11-10 | 2021-02-19 | 珠海格力电器股份有限公司 | Control method and device for air conditioning equipment, electronic equipment and storage medium |
| CN113505739A (en) * | 2021-07-27 | 2021-10-15 | 同济大学 | Indoor human pet distinguishing and behavior recognition method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030079483A1 (en) * | 2001-10-12 | 2003-05-01 | Hitachi Building Systems Co., Ltd. | Apparatus and method for managing heat source unit for air conditioner |
| CN101236605A (en) * | 2008-02-29 | 2008-08-06 | 重庆大学 | Human body intelligent recognition method and system based on infrared signal |
| CN102434945A (en) * | 2010-09-29 | 2012-05-02 | 松下电器产业株式会社 | Air conditioner |
| CN102510601A (en) * | 2011-10-11 | 2012-06-20 | 天津大学 | Infrared sensing device for detecting static human bodies |
-
2014
- 2014-05-07 CN CN201410190290.0A patent/CN105091189A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030079483A1 (en) * | 2001-10-12 | 2003-05-01 | Hitachi Building Systems Co., Ltd. | Apparatus and method for managing heat source unit for air conditioner |
| CN101236605A (en) * | 2008-02-29 | 2008-08-06 | 重庆大学 | Human body intelligent recognition method and system based on infrared signal |
| CN102434945A (en) * | 2010-09-29 | 2012-05-02 | 松下电器产业株式会社 | Air conditioner |
| CN102510601A (en) * | 2011-10-11 | 2012-06-20 | 天津大学 | Infrared sensing device for detecting static human bodies |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106247555A (en) * | 2016-08-19 | 2016-12-21 | 青岛海尔空调器有限总公司 | A kind of air conditioning control method and non-human thermal source filtering method based on infrared detection |
| CN106247555B (en) * | 2016-08-19 | 2019-03-01 | 青岛海尔空调器有限总公司 | A kind of air conditioning control method and the inhuman body heat source filtering method based on infrared detection |
| CN106440246A (en) * | 2016-10-26 | 2017-02-22 | 珠海格力电器股份有限公司 | Central air-conditioning system as well as control method and control device thereof |
| CN108734061A (en) * | 2017-04-19 | 2018-11-02 | 台达电子工业股份有限公司 | The non-warning region initialization system and its setting method of personnel's detector |
| CN109269216A (en) * | 2018-09-28 | 2019-01-25 | 珠海格力电器股份有限公司 | Temprature control method, device, equipment, storage medium and processor |
| CN110030678A (en) * | 2019-04-22 | 2019-07-19 | 宁波奥克斯电气股份有限公司 | Air conditioning comfortableness air blowing control method, apparatus and air conditioner |
| CN110030678B (en) * | 2019-04-22 | 2020-10-30 | 宁波奥克斯电气股份有限公司 | Air conditioner comfort air supply control method and device and air conditioner |
| CN112378050A (en) * | 2020-11-10 | 2021-02-19 | 珠海格力电器股份有限公司 | Control method and device for air conditioning equipment, electronic equipment and storage medium |
| CN112378050B (en) * | 2020-11-10 | 2021-09-14 | 珠海格力电器股份有限公司 | Control method and device for air conditioning equipment, electronic equipment and storage medium |
| CN113505739A (en) * | 2021-07-27 | 2021-10-15 | 同济大学 | Indoor human pet distinguishing and behavior recognition method and system |
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