CN107084795B - Human body heat source identification method and device and equipment with device - Google Patents

Human body heat source identification method and device and equipment with device Download PDF

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CN107084795B
CN107084795B CN201710258076.8A CN201710258076A CN107084795B CN 107084795 B CN107084795 B CN 107084795B CN 201710258076 A CN201710258076 A CN 201710258076A CN 107084795 B CN107084795 B CN 107084795B
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heat source
detection
human body
temperature
area
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CN107084795A (en
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熊军
李建建
赵万东
田雅颂
毛跃辉
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0022Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
    • G01J5/0025Living bodies
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging

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  • Engineering & Computer Science (AREA)
  • Combustion & Propulsion (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Radiation Pyrometers (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention provides a human body heat source identification method and device and equipment with the device. The human body heat source identification method comprises the following steps: an image acquisition step, which is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected; a heat source analysis step, which is used for analyzing the heat source in the obtained thermal infrared image and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet the preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value. The technical scheme of the invention can accurately identify the human body heat source, monitor the position of the human body in real time, and has high identification precision, thereby accurately feeding back the position information of the human body heat source so as to constantly keep the human body heat source area to have good comfort experience effect.

Description

Human body heat source identification method and device and equipment with device
Technical Field
The invention relates to the technical field of automatic control, in particular to a human body heat source identification method and device and equipment with the device.
Background
With the improvement of living standard of people, living electric appliances including an air conditioner, a humidifying dehumidifier or an air purifier become necessary in daily life of people. However, most of the existing domestic appliances have no human body heat source identification function, or the human body heat source identification mode is single, taking an air conditioner as an example, the human body heat source identification mode of the conventional air conditioner is single, the identification accuracy is low, and the detection is easy to make mistakes, so that the feedback sends out wrong operation control, and the human body comfort experience effect is poor. Due to the low recognition accuracy of the human body heat source, the control operation of the area where the human body heat source is located can not be carried out in a targeted manner, the comfort level of the environment of the area where the human body heat source is located can not be guaranteed, and the requirements of users can not be met.
Disclosure of Invention
The invention mainly aims to overcome the defects of the prior art and provides a human body heat source identification method, a human body heat source identification device and equipment with the human body heat source identification device, so as to solve the problem that the use comfort degree is influenced by feedback errors caused by low human body heat source identification precision.
The invention provides a human body heat source identification method on one hand, which comprises the following steps: an image acquisition step, which is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected; a heat source analysis step, which is used for analyzing the heat source in the obtained thermal infrared image and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet the preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value.
Optionally, the preset condition further includes: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area.
Optionally, the preset condition further includes: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein: the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction.
Optionally, the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value range of K is 0.1-0.8, and the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m.
Optionally, calculating a heat source PMV value according to the detected temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3.
Optionally, the range of the limit value of the normal human body temperature is 25-28 ℃, and the range of the limit value of the normal human body temperature is 37-38 ℃.
Optionally, the heat source core temperature is a temperature value of a pixel point with the highest temperature in a heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
Optionally, the heat source analyzing step further comprises: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source.
Optionally, the image acquiring step further comprises: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5.
Optionally, the method further comprises: and after a preset time threshold value, re-executing the image acquisition step and the heat source analysis step.
Optionally, the method further comprises the steps of setting the installation height and the detection angle of the infrared human detection detector to enable the detection range to cover the moving area of the human body heat source; and/or a rotatable infrared human detection detector is arranged to enlarge the detection range.
Optionally, the mounting height H of the infrared human detection detector ranges from 2.2m to 2.5m, and/or the vertical detection angle α of the infrared human detection detector ranges from 55 degrees to 65 degrees, and/or the horizontal detection angle γ of the infrared human detection detector is greater than or equal to θ, and the value range of θ is from 135 degrees to 145 degrees, and/or the infrared human detection detector can rotate up and down by an angle β of 10 degrees to 12 degrees, and/or the effective detection radius R of the infrared human detection detector is greater than or equal to R, and the value range of R is from 6m to 6.5m, and/or the near-ground detection blind area length L1 of the infrared human detection detector is less than or equal to s, and the value range of s is from 0.65m to 0.8 m.
Another aspect of the present invention further provides a human body heat source recognition apparatus, including: the image acquisition unit is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected; the heat source analysis unit is used for analyzing a heat source in the acquired thermal infrared image and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value.
Optionally, the preset condition further includes: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area.
Optionally, the preset condition further includes: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein: the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction.
Optionally, the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value range of K is 0.1-0.8, and the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m.
Optionally, the system further comprises a PMV calculation unit for calculating a PMV value of the heat source according to the detected temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3.
Optionally, the range of the limit value of the normal human body temperature is 25-28 ℃, and the range of the limit value of the normal human body temperature is 37-38 ℃.
Optionally, the heat source core temperature is a temperature value of a pixel point with the highest temperature in a heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
Optionally, the heat source analysis unit is further configured to: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source.
Optionally, the image acquisition unit is further configured to: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5.
Optionally, the method further comprises: and after a preset time threshold value, re-executing the functions executed by the image acquisition unit and the heat source analysis unit.
Optionally, the method further comprises the steps of setting the installation height and the detection angle of the infrared human detection detector to enable the detection range to cover the moving area of the human body heat source; and/or the infrared human detection detector can be rotatably arranged to enlarge the detection range.
Optionally, the mounting height H of the infrared human detection detector ranges from 2.2m to 2.5m, and/or the vertical detection angle α of the infrared human detection detector ranges from 55 degrees to 65 degrees, and/or the horizontal detection angle γ of the infrared human detection detector is greater than or equal to θ, and the value range of θ is from 135 degrees to 145 degrees, and/or the infrared human detection detector can rotate up and down by an angle β of 10 degrees to 12 degrees, and/or the effective detection radius R of the infrared human detection detector is greater than or equal to R, and the value range of R is from 6m to 6.5m, and/or the near-ground detection blind area length L1 of the infrared human detection detector is less than or equal to s, and the value range of s is from 0.65m to 0.8 m.
In a further aspect, the invention provides an apparatus having a device as described in any of the above.
Optionally, the device is an air conditioner, a humidification dehumidifier or an air purifier.
The technical scheme of the invention can accurately identify the human body heat source, monitor the position of the human body in real time, and has high identification precision, thereby accurately feeding back the position information of the human body heat source so as to constantly keep the human body heat source area to have good comfort experience effect.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is an overall framework diagram of a human body heat source recognition method provided by the present invention;
FIG. 2 is a left side view of an installation structure of an infrared human detection device according to the method for recognizing a human body heat source of the present invention;
FIG. 3 is a top view of an installation structure of an infrared human detection sensor according to the method for recognizing a human body heat source of the present invention;
FIG. 4 is an overall configuration diagram of a human body heat source recognition apparatus according to the present invention;
fig. 5 is a schematic structural diagram of a preferred embodiment of the human body heat source identification device provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention provides a human body heat source identification method. Fig. 1 is an overall frame diagram of a human body heat source recognition method according to the present invention. As shown in fig. 1, the present invention provides a method for identifying a body heat source, comprising: step S110, an image acquisition step, which is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected; step S120, a heat source analyzing step, which is used for analyzing the heat source in the obtained thermal infrared image, and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value. In the preset conditions, the temperature limit value of the normal human body ranges from 25 ℃ to 28 ℃, and the upper temperature limit value of the normal human body ranges from 37 ℃ to 38 ℃; the heat source core temperature is the temperature value of the pixel point with the highest temperature in the heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
The human body heat source identification method provided by the invention can be applied to an air conditioner, a humidifying dehumidifier or an air purifier or other living electric appliances. Taking an air conditioner as an example, the conventional air conditioner has a single human body heat source identification mode, low identification precision and easy detection error, so that an error instruction is fed back and sent, or no instruction is sent, and the human body comfort experience effect is poor. In general, the normal range of the human body heat source temperature is only considered in the conventional air-conditioning human body heat source identification mode, so that heat sources with the temperature close to the human body temperature are easily misjudged as human body heat sources, and the misjudgment rate is high. The technical scheme of the invention also considers the characteristic of the difference value between the human body heat source core temperature and the background temperature, namely the difference value between the human body heat source core temperature and the background temperature is 1-3 ℃ under the normal condition, and the non-human body heat source with the temperature close to the human body temperature is eliminated through the preset judgment condition, so that the misjudgment rate is greatly reduced. Compared with the prior art, the method can accurately judge the human body heat source, has high identification precision, accurately feeds back, sends out correct operation instructions and constantly keeps the human body heat source area to have good comfort experience effect.
According to an embodiment of the human body heat source identification method, the human body heat source identification method further comprises the steps of setting the installation height and the detection angle of the infrared human detection detector to enable the detection range to cover the moving area of the human body heat source, and/or setting the rotatable infrared human detection detector to expand the detection range, wherein the human body heat source identification method provided by the invention is based on the infrared thermal imaging technology, the infrared human detection detector can be installed in an electrical device, or can be installed separately and connected with the electrical device, and thermal infrared image information is transmitted to the electrical device through a network, an installation structure of the infrared human detection detector is illustrated by an air conditioner in the figures 2 and 3, a left view of the installation structure of the infrared human detection detector of the human body heat source identification method provided by the invention is illustrated in the figures 2 and 3, a top view of the installation structure of the infrared human detection detector of the human body heat source identification method provided by the invention is illustrated in the figures 2 and 3, wherein the figure 1 is the air conditioner, the 2 is a wall, the 3 is the infrared human detection detector, gamma is a horizontal effective detection angle, the figure 2 is a ceiling, the 5 is a ceiling, the ground, the center line, the area of the detection part of the detection area of the room is α, the detection area of the room is the ground detection radius of the room height of the room, the room height of the room is 1.
In fig. 2, the installation height H of the human detection detector ranges from 2.2m to 2.5m, preferably from 2.3m, the height H1 of the human body is 1.8m, so as to cover most people, in a cross-sectional view of a room, the human detection detector can detect a visual angle α, the range is 55 degrees to 65 degrees, so as to ensure a sufficient effective detection area, the human detection detector can rotate up and down by a certain angle β, the range is 10 degrees to 12 degrees, so as to expand the detection range, the factors such as the installation height of the detector, the detection range and the height of the human body are comprehensively considered, so as to obtain an effective detection radius R of the human detection, R is required to be more than or equal to R, the range of R is 6m to 6.5m, the near-ground detection dead zone length L1 is more than or equal to s, the range of s is 0.65m to 0.8m, in fig. 3, the horizontal effective detection angle γ of the human.
According to one embodiment of the body heat source identification method, the preset condition further includes: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area. In addition to the above-mentioned two features of the normal range of human body heat source temperature, the difference between the human body heat source core temperature and the background temperature, the human body heat source has a third feature of heat source area. The heat source with too large area or too small area can be determined not to be the human body heat source by properly setting the size of the human body heat source area. The judgment condition of the heat source area is increased in the preset condition, and the non-human body heat source with the heat source area characteristic inconsistent with the human body heat source area is further excluded on the basis of the original condition, so that the misjudgment rate is further reduced, and the identification precision is improved.
According to one embodiment of the body heat source identification method, the preset condition further includes: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein: the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction. In one embodiment, the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value range of K is 0.1-0.8, and the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m. Because the detection blind area exists during the detection of the detector, as shown in fig. 2, when the distance is far away, the human body heat source detection range is smaller than the real human body heat source area, the farther the distance is, the larger the detection blind area range is, the larger the error value is, so that the adjustment and repair are neededPositive coefficient to improve the accuracy of recognition. The correction coefficient K is monotonically increasing with the distance D between the heat source and the infrared human detection device, for example: the two are linear relations (the two can be in direct proportion under the condition of special quantitative relation); or the correction coefficient K is linear with the square of the distance D between the heat source and the infrared human detection device. The setting of the correction coefficient K can be determined according to specific conditions such as the installation environment and the parameters of the infrared water heater.
According to one embodiment of the body heat source identification method, the method further comprises calculating a heat source PMV (Predicted Mean volume) value according to the detected temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3. The PMV value is an evaluation index representing the thermal response (cold and heat sensation) of the human body, and represents the average of the cold and heat sensations of most people in the same environment. When the PMV value of the heat source is calculated, besides the temperature and the wind speed, other related parameters such as humidity, human clothing thermal resistance and the like can be considered, and more accurate calculation can be carried out according to the comprehensive analysis of the information. If the calculated PMV value of the heat source is not in the range of more than or equal to-3 and less than or equal to 3, determining the heat source as a non-human body heat source, and excluding the heat source. In addition, the PMV value may also be used as a basis for the electrical equipment to send a control command, for example, the operation mode of the air conditioner is controlled according to the PMV value, including the air volume, the air outlet angle, the air outlet temperature, and the like.
According to one embodiment of the body heat source identification method of the present invention, the heat source analyzing step further includes: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source. And identifying the ceiling and the illuminating lamp according to the height, the temperature and the heat source area of the heat source object. When the height of the heat source is the maximum value detected by the detector, the ceiling or the illuminating lamp is judged. Further according to the size of the area of the heat source and the temperature of the heat source, the area is divided into a ceiling or a lighting lamp, namely, the area of the heat source with large area and low temperature is the ceiling, and the area is the lighting lamp. The window is identified based on the position and temperature of the heat source. When the heat source position is a boundary value of the detection range (at the wall of the room) and the absolute value of the difference between the heat source temperature and the heat source temperature of an adjacent area (wall) near the boundary value is greater than delta t, the window is judged, and the delta t value range is 1-3 ℃. The window, the ceiling and the illumination lamp are identified so as to exclude the determined heat sources from the human body heat source, thereby improving the human body heat source identification accuracy.
According to one embodiment of the body heat source recognition method, the image acquisition step further includes: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5. In the image obtaining step, if a thermal infrared image needs to be obtained as a basis for implementing a control instruction in the next step when the electrical equipment is started up and started up every time, the scanning is performed for N periods when the electrical equipment is started up and operated every time, because a human body is possibly active and the position of the human body is possibly changed in real time, the content is updated once when the scanning is performed once, the updated content is the position of a human body heat source, and the updating function is that the position of the human body heat source can be monitored in real time and accurately identified.
According to one embodiment of the body heat source identification method of the present invention, the method further includes: and after a preset time threshold value, re-executing the image acquisition step and the heat source analysis step. Because the position of the human body heat source may be changed in real time, the human body heat source identification method is executed again after a period of time, and then the control instruction is readjusted according to the real-time position of the human body heat source, so that good comfort experience of the area where the human body heat source is located is ensured.
In another aspect of the invention, a human body heat source identification device is provided. Fig. 4 is an overall configuration diagram of the human body heat source recognition apparatus according to the present invention. As shown in fig. 4, the present inventor's body heat source recognition apparatus includes: an image acquisition unit 100, configured to acquire a thermal infrared image through an infrared human detection detector disposed in an area to be detected; a heat source analysis unit 200, configured to analyze a heat source in the obtained thermal infrared image, and determine the heat source as a human body heat source when a heat source characteristic in the thermal infrared image meets a preset condition; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value.
According to one embodiment of the body heat source recognition device, the preset conditions further include: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area.
According to one embodiment of the body heat source recognition device, the preset conditions further include: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein: the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction. In one embodiment, the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value range of K is 0.1-0.8, and the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m.
Fig. 5 is a schematic structural diagram of a preferred embodiment of the human body heat source identification device provided by the invention. As shown in fig. 5, according to an embodiment of the present invention, the device for recognizing a body heat source further comprises a PMV calculation unit 300 for calculating a PMV value of the heat source according to the detected temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3.
According to one embodiment of the body heat source recognition device, the normal human body temperature limit value ranges from 25 ℃ to 28 ℃, and the normal human body temperature upper limit value ranges from 37 ℃ to 38 ℃.
According to one embodiment of the body heat source identification device, the heat source core temperature is a temperature value of a pixel point with the highest temperature in a heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
According to one embodiment of the present invention, the heat source analysis unit 200 is further configured to: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source.
According to one embodiment of the body heat source recognition device, the image acquisition unit 100 is further configured to: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5.
According to one embodiment of the body heat source recognition device of the present invention, further comprising: after a preset time threshold has elapsed, the functions performed by the image acquisition unit 100 and the heat source analysis unit 200 are re-executed.
According to an embodiment of the body heat source recognition device, referring to fig. 2 and 3, the device further comprises a mounting height and a detection angle of the infrared human detection detector, wherein the mounting height and the detection angle are set to cover an active area of a body heat source, and/or the infrared human detection detector can be rotatably arranged to expand the detection range, the mounting height H of the infrared human detection detector ranges from 2.2m to 2.5m, the vertical detection angle α of the infrared human detection detector ranges from 55 degrees to 65 degrees, the horizontal detection angle gamma of the infrared human detection detector is not less than theta, the theta range is from 135 degrees to 145 degrees, the infrared human detection detector can rotate up and down by an angle β of 10 degrees to 12 degrees, the effective detection radius R of the infrared human detection detector is not less than R, the R range is 6m to 6.5m, and/or the near-ground detection length L1 of the infrared human detection detector is not more than s, and the s blind area ranges from 0.65m to 0.8 m.
In yet another aspect, the invention provides a device having the human body heat source identification device. The equipment is an air conditioner, a humidifying dehumidifier or an air purifier, the electrical equipment needs to control the temperature, the humidity or the air quality and the like of the area where the human body is located, for the electrical equipment, the use effect of the electrical equipment is directly influenced by the accuracy of human body heat source identification, the accurate feedback can be realized only when the position where the human body is located is accurately identified, and the electrical equipment sends out a correct operation instruction, so that the more accurate control is realized.
The technical scheme of the invention can accurately identify the human body heat source, monitor the position of the human body in real time, and has high identification precision, thereby accurately feeding back the position information of the human body heat source so as to constantly keep the human body heat source area to have good comfort experience effect.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the invention and the following claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and the parts serving as the control device may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (22)

1. A human body heat source identification method is characterized by comprising the following steps:
an image acquisition step, which is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected;
a heat source analysis step, which is used for analyzing the heat source in the obtained thermal infrared image and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet the preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value; the temperature limit value of the normal human body ranges from 25 ℃ to 28 ℃, and the temperature limit value of the normal human body ranges from 37 ℃ to 38 ℃;
the heat source core temperature is the temperature value of the pixel point with the highest temperature in the heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
2. The method of claim 1, wherein the preset condition further comprises: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area.
3. The method of claim 1, wherein the preset condition further comprises: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein:
the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction.
4. A method according to claim 3, wherein the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value range of K is 0.1-0.8, and the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m.
5. The method according to any one of claims 1-4, further comprising calculating a heat source PMV value based on the sensed temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3.
6. The method of any one of claims 1-4, wherein the heat source analyzing step further comprises: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source.
7. The method according to any one of claims 1-4, wherein the image acquisition step further comprises: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5.
8. The method according to any one of claims 1-4, further comprising: and after a preset time threshold value, re-executing the image acquisition step and the heat source analysis step.
9. The method according to any one of claims 1 to 4, further comprising setting a mounting height and a detection angle of the infrared human detection detector to cover an active area of a human body heat source; and/or a rotatable infrared human detection detector is arranged to enlarge the detection range.
10. The method according to claim 9, characterized in that the mounting height H of the infrared human detection device ranges from 2.2m to 2.5m, and/or the vertical detection angle α of the infrared human detection device ranges from 55 ° to 65 °, and/or the horizontal detection angle γ of the infrared human detection device is greater than or equal to θ, and θ ranges from 135 ° to 145 °, and/or the infrared human detection device can be rotated up and down by an angle β ranging from 10 ° to 12 °, and/or the effective detection radius R of the infrared human detection device is greater than or equal to R, and R ranges from 6m to 6.5m, and/or the near-ground detection blind area length L1 of the infrared human detection device is less than or equal to s, and s ranges from 0.65m to 0.8 m.
11. A human body heat source identification device, comprising:
the image acquisition unit is used for acquiring a thermal infrared image through an infrared human detection detector arranged in an area to be detected;
the heat source analysis unit is used for analyzing a heat source in the acquired thermal infrared image and determining the heat source as a human body heat source when the heat source characteristics in the thermal infrared image meet preset conditions; the preset conditions include: the temperature of the heat source is greater than or equal to the temperature limit value of a normal human body and less than or equal to the upper limit value of the body temperature of the normal human body, and the difference value between the core temperature of the heat source and the background temperature is greater than or equal to a preset temperature difference threshold value; the temperature limit value of the normal human body ranges from 25 ℃ to 28 ℃, and the temperature limit value of the normal human body ranges from 37 ℃ to 38 ℃;
the heat source core temperature is the temperature value of the pixel point with the highest temperature in the heat source area; the background temperature is the arithmetic mean value of the temperatures of the non-heat source areas; the value range of the temperature difference threshold is 1-3 ℃.
12. The apparatus of claim 11, wherein the preset condition further comprises: heat source detection area SDetection ofNot less than A × B, wherein the heat source detection area SDetection ofThe value range of A is 600mm-700mm, and the value range of B is 280mm-300mm for actually detected heat source area.
13. The apparatus of claim 12, wherein the preset condition further comprises: equivalent area S of heat sourceEquivalence ofNot less than A × B, wherein:
the value range of A is 600mm-700mm, the value range of B is 280mm-300mm, and the equivalent area S of the heat sourceEquivalence ofFor the heat source area S actually detectedDetection ofThe equivalent heat source area after error correction.
14. The apparatus of claim 13, wherein the heat source equivalent area SEquivalence of=(1+K)×SDetection of,SDetection ofFor the actually detected heat source area, K is a correction coefficient, and the value of K is related to the distance D between the heat source and the infrared human detection detector: when D is less than or equal to D, K is 0; when D is larger than D, the value of K is in a rangeThe circumference is 0.1-0.8, the value of K is correspondingly increased when D is increased, and the value range of D is 2m-2.5 m.
15. The apparatus according to any one of claims 11-14, further comprising a PMV calculation unit for calculating a heat source PMV value based on the detected temperature and wind speed; the preset conditions further include: the PMV value of the heat source satisfies: PMV is less than or equal to-3 and less than or equal to 3.
16. The apparatus of any of claims 11-14, wherein the heat source analysis unit is further configured to: identifying a window, a ceiling and/or a lighting lamp according to the location and temperature of the heat source, and determining the identified window, ceiling and/or lighting lamp as a non-human body heat source.
17. The apparatus according to any one of claims 11-14, wherein the image acquisition unit is further configured to: and scanning the area to be detected for N periods, and updating the acquired thermal infrared image after each scanning period, wherein the value range of N is 2-5.
18. The apparatus of any one of claims 11-14, further comprising: and after a preset time threshold value, re-executing the functions executed by the image acquisition unit and the heat source analysis unit.
19. The apparatus according to any one of claims 11-14, further comprising setting a mounting height and a detection angle of the infrared human detection detector to cover an active area of the human body heat source; and/or the infrared human detection detector can be rotatably arranged to enlarge the detection range.
20. The device of claim 19, wherein the installation height H of the infrared human detection device ranges from 2.2m to 2.5m, and/or the vertical detection angle α of the infrared human detection device ranges from 55 degrees to 65 degrees, and/or the horizontal detection angle gamma of the infrared human detection device is larger than or equal to theta, and the theta ranges from 135 degrees to 145 degrees, and/or the infrared human detection device can rotate up and down by an angle β of 10 degrees to 12 degrees, and/or the effective detection radius R of the infrared human detection device is larger than or equal to R, and the R ranges from 6m to 6.5m, and/or the near-ground detection blind area length L1 of the infrared human detection device is smaller than or equal to s, and the s ranges from 0.65m to 0.8 m.
21. An apparatus, characterized by the device according to any of claims 11-20.
22. The apparatus of claim 21, wherein the apparatus is an air conditioner, a humidification dehumidifier, or an air purifier.
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WO2020217279A1 (en) * 2019-04-22 2020-10-29 日立ジョンソンコントロールズ空調株式会社 Air-conditioning system, method, and program
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CN110274367A (en) * 2019-06-27 2019-09-24 珠海格力电器股份有限公司 Air conditioning control device, method, controller, air-conditioning and storage medium
CN110469939B (en) * 2019-07-10 2021-06-29 海信(山东)空调有限公司 Electric appliance and human body position detection method and device thereof
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CN113537264B (en) * 2020-04-21 2022-09-20 阿里巴巴集团控股有限公司 Space application state detection method, management method, device and equipment
CN111579080B (en) * 2020-04-30 2021-09-14 沈阳天眼智云信息科技有限公司 Self-calibration method of infrared thermal image body temperature monitor
CN111649468A (en) * 2020-05-27 2020-09-11 桂林电子科技大学 Station air supply air conditioning system and method
CN112556121A (en) * 2020-12-14 2021-03-26 青岛海尔空调器有限总公司 Air conditioner control method and device, air conditioner, medium and product
CN113091230A (en) * 2021-04-12 2021-07-09 青岛海尔空调器有限总公司 Air conditioner air supply control method and device and air conditioner

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011038652A (en) * 2009-08-06 2011-02-24 Mitsubishi Electric Corp Air conditioner
CN103263255A (en) * 2013-05-25 2013-08-28 慈溪迈思特电子科技有限公司 Method for processing data of human body infrared temperature sensor
CN105241023A (en) * 2015-10-30 2016-01-13 广东美的制冷设备有限公司 Air conditioner control method and system and clothes-wearing amount detection method and device
CN106016620A (en) * 2016-06-15 2016-10-12 湖南大学 Energy saving thermal comfort control method of air conditioning system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011038652A (en) * 2009-08-06 2011-02-24 Mitsubishi Electric Corp Air conditioner
CN103263255A (en) * 2013-05-25 2013-08-28 慈溪迈思特电子科技有限公司 Method for processing data of human body infrared temperature sensor
CN105241023A (en) * 2015-10-30 2016-01-13 广东美的制冷设备有限公司 Air conditioner control method and system and clothes-wearing amount detection method and device
CN106016620A (en) * 2016-06-15 2016-10-12 湖南大学 Energy saving thermal comfort control method of air conditioning system

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