Thermal imaging device and temperature distribution monitoring system
Through the zoom lens and module of the thermal imaging device, the temperature distribution data of the home space is obtained, which solves the problem that traditional single-point sensors cannot be fully monitored, and realizes intelligent management of home space.
Patent Information
- Application Number
- CN202510659617.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2025-05-08
- Filing Date
- 2025-05-21
- Publication Date
- 2025-08-08
AI Technical Summary
Traditional temperature monitoring methods rely on single-point temperature sensors and cannot fully and accurately reflect the temperature distribution of the entire home space, resulting in the inability to effectively carry out intelligent management.
Using a thermal imaging device, including a zoom lens and a thermal imaging module, the thermal imaging data is obtained by adjusting the lens focal length and determining the temperature distribution data.
The temperature distribution monitoring of different areas of the home space is realized, and intelligent management of related equipment is supported.
Smart Images

Figure CN120445425A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of temperature distribution monitoring, and in particular to a thermal imaging device and a temperature distribution monitoring system. Background Art
[0002] With the rapid development of smart home technology, people's demand for intelligent management of their home environment is increasing.
[0003] Traditional temperature monitoring methods often rely on single-point temperature sensors, which cannot fully and accurately reflect the temperature distribution of the entire home space. As a result, it is impossible to intelligently manage related equipment in the home space based on the actual temperature distribution of the home space. Summary of the Invention
[0004] The present application provides a thermal imaging device and a temperature distribution monitoring system that can accurately monitor the temperature distribution in different areas of a home space, thereby helping to achieve intelligent management of related equipment in the home space.
[0005] In a first aspect, the present application provides a thermal imaging device, which includes a variable-focus lens, a thermal imaging module, and a processing module; the processing module is configured to:
[0006] Adjust the focal length of the variable focus lens according to the temperature change in the current detection space;
[0007] Acquiring thermal imaging data from the thermal imaging module when the zoom lens uses different focal lengths;
[0008] The temperature distribution data in the current detection space is determined based on the acquired thermal imaging data.
[0009] In some embodiments, the processing module is specifically configured to:
[0010] When the acquired thermal imaging data does not change within a default time period, the focal length of the variable-focus lens is adjusted.
[0011] In some embodiments, the processing module is specifically configured to:
[0012] The focal length of the variable focal length lens is adjusted according to the default focal length adjustment interval and the default focal length adjustment period.
[0013] In some embodiments, the processing module is specifically configured to:
[0014] When an abnormal temperature value appears in the acquired thermal imaging data, the focal length of the variable focus lens is adjusted.
[0015] In a second aspect, the present application provides a thermal imaging device, which includes a variable-focus lens, a thermal imaging module, and a processing module; the processing module is configured to:
[0016] Adjust the focal length of the zoom lens according to the temperature changes in the current detection space;
[0017] When the variable focal length lens adopts different focal lengths, thermal imaging data of the thermal imaging module is obtained;
[0018] When an abnormal temperature value appears in the acquired thermal imaging data, the focal length of the variable focus lens is adjusted.
[0019] In some embodiments, the processing module is further configured to:
[0020] Determine the focal length corresponding to the first thermal imaging data having a pixel point with abnormal temperature;
[0021] acquiring, based on the focal length corresponding to the first thermal imaging data, second thermal imaging data having a focal length adjacent to the focal length corresponding to the first thermal imaging data;
[0022] The position of the pixel with the highest temperature among the temperature-abnormal pixels and / or the distribution range of the temperature-abnormal pixels in the detection space are determined based on the first thermal imaging data and the second thermal imaging data.
[0023] In some embodiments, the processing module is specifically configured to:
[0024] The focal length of the variable focal length lens is adjusted according to the default focal length adjustment interval and the default focal length adjustment period.
[0025] In some embodiments, the thermal imaging module includes a thermal radiometer including a plurality of sensing pixels; and the processing module is specifically configured to:
[0026] Determining detection data of each sensing pixel when the zoom lens adopts different focal lengths;
[0027] Determine the temperature value corresponding to each sensing pixel according to the detection data of each sensing pixel;
[0028] The temperature distribution data in the current detection space is determined according to the temperature values corresponding to the respective sensing pixels when the variable focus lens adopts different focal lengths.
[0029] In some embodiments, the processing module is further configured to:
[0030] Determining a first temperature sum of temperature values corresponding to each sensing pixel in the acquired plurality of thermal imaging data;
[0031] Determine a second temperature sum of temperature values corresponding to all sensing pixels in each acquired thermal imaging data;
[0032] According to the first temperature sum and the second temperature sum, a temperature abnormality area in the current detection space is determined.
[0033] In a third aspect, the present application provides a temperature distribution monitoring system, comprising a back-end processor and a thermal imaging device, wherein the thermal imaging device is the thermal imaging device of the first aspect or the second aspect; the back-end processor is configured to:
[0034] Receiving temperature distribution data in the current detection space uploaded by the thermal imaging device;
[0035] Based on the above temperature distribution data, monitor whether there is any abnormality in the current detection space;
[0036] When an abnormal situation exists in the current detection space, the associated devices connected to the above-mentioned back-end processor are controlled according to the above-mentioned temperature distribution data.
[0037] In some embodiments, the associated device includes an air conditioner, and the back-end processor is specifically configured to:
[0038] Determining the abnormal temperature region within the detection space and / or the temperature within the abnormal temperature region based on the temperature distribution data;
[0039] According to the above-mentioned temperature abnormality area, and / or the temperature within the above-mentioned temperature abnormality area, the air conditioner is controlled to perform the target operation; the target operation includes but is not limited to at least one of the following items: adjusting the air outlet wind direction, adjusting the fan speed, adjusting the air outlet speed, and adjusting the air outlet temperature.
[0040] In some embodiments, the backend processor is further configured to:
[0041] Determining whether a human body exists in the abnormal temperature area based on the distribution shape and temperature of the abnormal temperature area;
[0042] When a human body exists in the abnormal temperature area, the wind direction and outlet temperature of the air conditioner are controlled to adjust the temperature of the remaining areas in the detection space except the abnormal temperature area.
[0043] In some embodiments, the backend processor is further configured to:
[0044] When there are human bodies in the abnormal temperature area, determining the number of human bodies in the abnormal temperature area;
[0045] The air outlet temperature and / or air outlet speed of the air conditioner is controlled according to the number of people in the temperature abnormality area.
[0046] In some embodiments, the associated device includes a fire alarm device, and the back-end processor is further configured to:
[0047] Determining the abnormal temperature region within the detection space and / or the temperature of the abnormal temperature region based on the temperature distribution data;
[0048] When the range of the above-mentioned temperature abnormality area exceeds the default safety range, and / or the temperature of the temperature abnormality area meets the default alarm condition, the fire alarm equipment is triggered to sound an alarm.
[0049] In some embodiments, the associated device further includes a stove and / or an exhaust device, and the back-end processor is further configured to:
[0050] When the range of the above-mentioned temperature abnormality area exceeds the default safety range, and / or the temperature of the above-mentioned temperature abnormality area meets the default alarm condition, the above-mentioned stove is turned off, and / or the above-mentioned exhaust device is turned on.
[0051] In some embodiments, the associated device includes a television, and the back-end processor is specifically configured to:
[0052] Determine the position of the human body in the detection space based on the above temperature distribution data;
[0053] determining the distance between the human body and the television according to the position of the human body in the detection space;
[0054] Adjust the TV screen brightness according to the distance between your body and the TV.
[0055] In some embodiments, the associated device includes an audio device, and the back-end processor is specifically configured to:
[0056] Determine the location of the human body in the detection space based on the temperature distribution data;
[0057] Adjust the sound field of the audio equipment according to the position of the human body in the detection space.
[0058] The thermal imaging device and temperature distribution monitoring system provided in the embodiments of the present application include a variable-focus lens, a thermal imaging module, and a processing module. By adjusting the focal length of the variable-focus lens, thermal imaging data from the thermal imaging module can be obtained when the variable-focus lens adopts different focal lengths. Based on the obtained thermal imaging data, the temperature distribution data in the current detection space can be determined, thereby accurately monitoring the temperature distribution in different areas of the home space, thereby helping to achieve intelligent management of related equipment in the home space. BRIEF DESCRIPTION OF THE DRAWINGS
[0059] Figure 1This is a schematic structural diagram of a thermal imaging device provided in an embodiment of the present application;
[0060] Figures 2a to 2c A schematic diagram of the distribution of the focal plane relative to the current detection space of a thermal imaging device provided in an embodiment of the present application when using different focal lengths;
[0061] Figures 3a to 3c A schematic diagram of detection data of each sensing pixel in a thermal imaging module of a thermal imaging device provided in an embodiment of the present application when using different focal lengths;
[0062] Figure 4 This is an operating procedure of a thermal imaging device provided in an embodiment of the present application;
[0063] Figure 5 This is an operating procedure of another thermal imaging device provided in an embodiment of the present application;
[0064] Figure 6 This is an operation sub-process of a thermal imaging device provided in an embodiment of the present application;
[0065] Figure 7 This is a schematic diagram of the architecture of a temperature distribution monitoring system provided in an embodiment of the present application;
[0066] Figure 8 A schematic diagram of a home space provided in an embodiment of the present application;
[0067] Figure 9 Schematic diagram of the temperature detected by the thermal imaging device at various focal lengths in an embodiment of the present application;
[0068] Figure 10 This is a schematic diagram of the distribution of areas with large temperature differences in a home space constructed in an embodiment of the present application;
[0069] Figure 11 This is an air conditioning temperature control application operation process provided in the embodiment of this application;
[0070] Figure 12 A schematic diagram of a scenario in which a thermal imaging device is used to detect the temperature of a cooking device area, provided in an embodiment of the present application;
[0071] Figures 13 to 15 Schematic diagram of the temperatures detected at each focal plane in an embodiment of the present application;
[0072] Figure 16 This is a kitchen abnormality detection and alarm operation process provided in an embodiment of the present application. DETAILED DESCRIPTION
[0073] Here, each exemplary embodiment of the present application will be described in detail. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation methods described in the following exemplary embodiments do not represent all implementation methods consistent with this application.
[0074] To facilitate a clear description of the technical solutions of the embodiments of this application, the words "exemplary," "for example," and the like are used in the embodiments of this application to indicate examples, illustrations, or explanations. Any embodiment or design described in this application as "exemplary" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.
[0075] In the embodiments of this application, terms such as "first" and "second" are used to distinguish between identical or similar items with substantially the same function or effect. For example, the first thermal imaging data and the second thermal imaging data are used solely to distinguish different signals and do not define their order. Those skilled in the art will understand that terms such as "first" and "second" do not define the quantity or order of execution, and do not necessarily define differences between the terms.
[0076] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship.
[0077] With the continuous innovation and rapid development of smart home technologies, people's demand for intelligent management of their home environments is constantly escalating and expanding. Among these numerous intelligent management requirements, temperature monitoring, as a key component, is particularly important. However, traditional temperature monitoring methods, particularly those that rely primarily on single-point temperature sensors, are facing increasingly prominent limitations.
[0078] A single-point temperature sensor is a sensor installed at a specific location in a home to monitor the temperature at that point. The drawback of this approach is that it only provides temperature data for a single location and cannot fully and accurately reflect the temperature distribution throughout the home. Because temperature gradients often exist within a home, meaning that temperatures can vary significantly at different locations, the data provided by a single-point temperature sensor often fails to accurately reflect the temperature conditions of the entire space.
[0079] In response to the above technical problems, an embodiment of the present application provides a thermal imaging device, which includes a variable-focus lens, a thermal imaging module, and a processing module. By adjusting the focal length of the variable-focus lens, thermal imaging data of the thermal imaging module can be obtained when the variable-focus lens adopts different focal lengths. Based on the obtained thermal imaging data, the temperature distribution data in the current detection space can be determined, thereby accurately monitoring the temperature distribution in different areas of the home space, thereby helping to realize intelligent management of related equipment in the home space.
[0080] The following is a detailed description of the technical solutions provided by this application through specific embodiments. It should be noted that the following embodiments can exist independently or in combination with each other, and the same or similar contents will not be repeated in different embodiments.
[0081] Figure 1 The thermal imaging device 100 includes a variable focus lens 101, a thermal imaging module 102, and a processing module 103. The processing module 103 is used to:
[0082] The focal length of the variable-focus lens 101 is adjusted according to the temperature change in the current detection space or according to the detection procedure of the thermal imaging device 100; when the variable-focus lens 101 adopts different focal lengths, thermal imaging data of the thermal imaging module 102 is obtained; and based on the obtained thermal imaging data, the temperature distribution data in the current detection space is determined.
[0083] Optionally, the zoom lens 101 may be an infrared pass (IR pass) zoom lens, wherein the IR pass zoom lens is a special lens that combines a zoom function with infrared light transmission characteristics.
[0084] The thermal imaging module 102 may be a non-contact thermal sensor, or a thermal imaging module composed of micro-bolometers or a thermopile array, for sensing long-wave infrared radiation to obtain thermal images and temperature information.
[0085] Optionally, the thermal imaging device 100 may also include various wired communication modules and / or wireless communication modules for transmitting thermal images and temperature detection results to other home devices, thereby realizing the control process operation of different types of home devices.
[0086] For example, the following embodiments illustrate a thermal imaging module 102 comprised of an 8×8 array of long-wave infrared radiation sensors and a variable-focus lens 101 with three focal lengths. It should be understood that this example is a simplified structure to facilitate illustration of the technical solutions provided herein. In practice, higher-resolution thermal imaging modules and variable-focus lenses with a wider range of focal lengths are often used.
[0087] Figures 2a to 2c This is a schematic diagram of the distribution of the focal plane relative to the current detection space of a thermal imaging device provided in an embodiment of the present application when using different focal lengths.
[0088] in, Figure 2a Schematic diagram of the distribution of the focal plane 201 of the thermal imaging device 100 relative to the current detection space 200 when the focal length is 1; Figure 2b Schematic diagram of the distribution of the focal plane 202 of the thermal imaging device 100 relative to the current detection space 200 when the focal length 2 is adopted; Figure 2c FIG. 2 is a schematic diagram showing the distribution of the focal plane 203 of the thermal imaging device 100 relative to the current detection space 200 when the focal length 3 is used, wherein focal length 1 < focal length 2 < focal length 3.
[0089] In some embodiments, the thermal imaging module 102 includes a thermal radiometer including a plurality of sensing pixels.
[0090] For example, Figures 3a to 3c This is a schematic diagram of detection data of each sensing pixel in a thermal imaging module of a thermal imaging device provided in an embodiment of the present application when using different focal lengths.
[0091] in, Figure 3a 1 is the detection data of each sensing pixel of the focal plane 201 in the thermal imaging module 102 when the thermal imaging device 100 adopts a focal length of 1. Specifically, the detection data of each sensing pixel is 25°C.
[0092] Figure 3b The following table shows the detection data of each sensing pixel in the focal plane 202 of the thermal imaging module 102 when the thermal imaging device 100 uses a focal length of 2. Specifically, the detection data of sensing pixels (4, 4) to (7, 7) is 30°C, and the detection data of the remaining sensing pixels are all 25°C.
[0093] Figure 3cThe following table shows the detection data of each sensing pixel in the focal plane 203 of the thermal imaging module 102 when the thermal imaging device 100 uses a focal length of 3. Specifically, the detection data of sensing pixels (0,0) to (3,3) is 31°C, the detection data of sensing pixels (4,4) to (7,7) is 27°C, and the detection data of the remaining sensing pixels are all 25°C.
[0094] In some embodiments, based on the detection data of each sensing pixel in the thermal imaging module 102 when the thermal imaging device 100 adopts the three different focal lengths, the temperature distribution data in the current detection space can be determined.
[0095] Specifically, the detection data of each sensing pixel is determined when the zoom lens adopts different focal lengths; the temperature value corresponding to each sensing pixel is determined based on the detection data of each sensing pixel; and the temperature distribution data in the current detection space is determined based on the temperature value corresponding to each sensing pixel when the zoom lens adopts different focal lengths.
[0096] It is understandable that if the variable focus lens of the thermal imaging device 100 is adjusted to a greater focal length, more thermal imaging data can be acquired, and the temperature distribution data determined in the current detection space will also be richer.
[0097] It is understandable that since there is no medium in the air of a home space to absorb and block long-wave infrared radiation, and the density and intensity of long-wave infrared radiation are not high, thermal imaging devices have good temperature detection in the air of a home space. By focusing on different focal planes, they can obtain temperature information with reference value, thereby effectively constructing the temperature distribution at various locations in the home space.
[0098] In a home space, in the absence of other objects or heat sources, the thermal imaging device detects the air temperature of the home space. The temperature information detected at different focal lengths is the temperature of that location. The interference between long-wave infrared radiation at different focal lengths is not obvious and can be ignored. The results obtained by different pixels vary depending on their respective detection locations.
[0099] Gases not normally found in air, such as gas and alcohol, generate long-wave infrared radiation at a much higher density and intensity than air, and their radiation range is much wider than the visible flame. Therefore, the results detected by a thermal imaging device will differ from what the naked eye and human body perceive. Generally, the temperature is highest when the thermal imaging device is focused on the flame. The shorter the focal length and the farther from the flame, the lower the detected temperature, but it is still much higher than what the human body perceives. If the focus is on the back of the flame, the flame's extremely high temperature prevents the long-wave infrared radiation from penetrating, and the detected temperature is the result of the flame's long-wave infrared radiation being out of focus.
[0100] It is understandable that long-wave infrared radiation is not penetrating and will be blocked by objects. When detecting at different focal lengths, if there is an object in the middle, the sensing result is the long-wave infrared radiation emitted by the object. The accuracy varies depending on whether the focus is on or not:
[0101] When focusing on an object, what is detected is the long-wave infrared radiation emitted by the object.
[0102] When focusing in front of an object, what is detected is the attenuation of the long-wave infrared radiation emitted by the object due to defocusing plus the amount of long-wave infrared radiation focused in space.
[0103] When focusing in front of or behind an object, what is detected is the attenuation of the long-wave infrared radiation emitted by the object due to defocusing, rather than the actual amount of long-wave infrared radiation in the space behind the object.
[0104] Figure 4 The operating process of a thermal imaging device provided in an embodiment of the present application may include the following steps:
[0105] S401: Power on the thermal imaging device and initialize the system.
[0106] In some embodiments, when the thermal imaging device is powered on, its system control unit may execute an initialization procedure, including loading programs and data stored in a non-volatile memory (Non-Volatile Memory), such as a flash memory, and calibrating the sensing pixel array.
[0107] S402: The thermal imaging device establishes communication with the back-end processor.
[0108] Optionally, the communication method between the thermal imaging device and the back-end processor can be a wired communication method or a wireless communication method, which is not limited in the embodiments of the present application.
[0109] S403: The thermal imaging device obtains commands and parameters from the back-end processor, and performs relevant settings according to the obtained commands and parameters.
[0110] In some embodiments, the backend processor can send commands and parameters to the thermal imaging device via a communication connection. Optionally, these commands and parameters may include temperature measurement mode selection, focus adjustment interval, focus adjustment period, alarm threshold configuration, etc., which are not limited in the embodiments of the present application.
[0111] S404: The thermal imaging device obtains thermal imaging data of the thermal imaging module.
[0112] In some embodiments, the thermal imaging device may also upload the acquired thermal imaging data to a backend processor.
[0113] S405: The thermal imaging device determines whether the focal length of the zoom lens needs to be adjusted. If yes, the process proceeds to S406; if no, the process returns to S404 to continue acquiring thermal imaging data from the thermal imaging module.
[0114] In some implementations, the focal length of the variable focus lens may be adjusted according to an adjustment command (eg, a focal length adjustment interval, a focal length adjustment cycle) from a backend processor.
[0115] In some implementations, whether to adjust the focal length of the variable focus lens may also be determined according to a default focal length adjustment interval and a default focal length adjustment period.
[0116] In some implementations, it may also be determined whether the acquired thermal imaging data changes within a default time period. When the acquired thermal imaging data does not change within the default time period, the focal length of the variable focus lens is adjusted.
[0117] In some implementations, it may also be determined whether an abnormal temperature value appears in the acquired thermal imaging data. When an abnormal temperature value appears in the acquired thermal imaging data, the focal length of the variable focus lens is adjusted.
[0118] S406: The thermal imaging device adjusts the focal length of the zoom lens.
[0119] In some implementations, after the thermal imaging device adjusts the focal length of the variable-focus lens, the process may return to step S404 to acquire thermal imaging data from the thermal imaging module at the new focal length.
[0120] In some embodiments, the thermal imaging device may determine temperature distribution data within the current detection space based on the received thermal imaging data.
[0121] The thermal imaging device provided in the embodiment of the present application can obtain thermal imaging data of the thermal imaging module when the above-mentioned variable focus lens adopts different focal lengths by adjusting the focal length of the above-mentioned variable focus lens. Based on the obtained thermal imaging data, the temperature distribution data in the current detection space can be determined, thereby accurately monitoring the temperature distribution in different areas of the home space, thereby helping to realize intelligent management of related equipment in the home space.
[0122] Figure 5 Another operating procedure of a thermal imaging device provided in an embodiment of the present application includes the following steps:
[0123] S501: Power on the thermal imaging device and initialize the system.
[0124] S502: The thermal imaging device establishes communication with the back-end processor.
[0125] S503: The thermal imaging device obtains commands and parameters from the back-end processor, and performs relevant settings according to the obtained commands and parameters.
[0126] S504: The thermal imaging device obtains thermal imaging data of the thermal imaging module.
[0127] It can be understood that the specific execution contents of the above steps S501 to S504 are consistent with the execution contents of steps S401 to S404 described in the above embodiment. For details, please refer to the description in the above embodiment and will not be repeated here.
[0128] S505: The thermal imaging device determines an operating mode. If the operating mode is a scanning mode, S506 is executed; if the operating mode is a tracking mode, S507 is executed.
[0129] In some embodiments, the scanning mode may be an operating mode when the thermal imaging device is started or when no abnormal temperature occurs.
[0130] The tracking mode may be an operating mode when the thermal imaging device detects abnormal temperature. By sequentially scanning the thermal image of the focal section near the abnormal temperature, the highest temperature point of the abnormal temperature and the spatial distribution range of the abnormal temperature can be found.
[0131] In some embodiments, after being powered on, the thermal imaging device may first enter a scanning mode. Subsequently, when acquiring thermal imaging data from the thermal imaging module, it may be determined whether there are abnormal temperature values in the thermal imaging data. If not, the scanning mode is maintained. If abnormal temperature values are present in the acquired thermal imaging data, the tracking mode is entered.
[0132] S506: The thermal imaging device adjusts the focal length of the zoom lens according to the scanning mode.
[0133] For example, assuming the thermal imaging device's zoom lens has three focal lengths: near, medium, and far, in scanning mode, the zoom lens's focal length can be adjusted cyclically according to these three focal lengths. For example, the zoom lens's focal length can be adjusted cyclically in the order of "near, medium, far," "near, medium, far," and so on; or, the zoom lens's focal length can be adjusted cyclically in the order of "near, medium, far, medium," "near, medium, far, medium," and so on.
[0134] In some embodiments, assuming that the variable-focus lens of a thermal imaging device has n focal lengths, the focal length of the variable-focus lens can be sequentially changed in scanning mode according to the default assigned focal length adjustment intervals. For example, assuming that the variable-focus lens has nine focal lengths (1 to 9), the default focal lengths in scanning mode are 1, 3, 5, 7, 9, and the focal length adjustment interval is 2 steps. The focal length change sequence can be "1, 3, 5, 7, 9", "1, 3, 5, 7, 9", ...; or "1, 3, 5, 7, 9, 7, 5, 3", "1, 3, 5, 7, 9, 7, 5, 3", ....
[0135] For another example, assuming that the zoom lens has 9 focal lengths (1 to 9), the default focal lengths in scanning mode are 1, 5, and 9, and the focal length adjustment interval is 4 segments, then the focus change order can be "1, 5, 9", "1, 5, 9", ...; it can also be "1, 5, 9, 5", "1, 5, 9, 5", ...
[0136] In some embodiments, after adjusting the focal length of the variable-focus lens, the thermal imaging device may return to step S504 to reacquire thermal imaging data from the thermal imaging module at the new focal length. Furthermore, the process may determine whether the acquired thermal imaging data contains abnormal temperature values. If so, the process may proceed to step S507; if not, the process may proceed to step S506 to continue adjusting the focal length of the variable-focus lens in accordance with the scanning mode.
[0137] In some embodiments, when the thermal imaging device switches from scanning mode to tracking mode, the current focal length of the variable focus lens can be defined as the first focal length for entering the tracking mode, and the thermal imaging data acquired by the thermal imaging device at the current focal length is the first frame of thermal imaging data.
[0138] S507: The thermal imaging device adjusts the focal length of the zoom lens according to the tracking mode.
[0139] In some embodiments, when the thermal imaging device is in tracking mode, the focal length corresponding to the first thermal imaging data where a temperature abnormality pixel exists can be determined; based on the focal length corresponding to the first thermal imaging data, second thermal imaging data with a focal length adjacent to the focal length corresponding to the first thermal imaging data is obtained; based on the first thermal imaging data and the second thermal imaging data, the position of the pixel with the highest temperature among the temperature abnormality pixels and / or the distribution range of the temperature abnormality pixels in the detection space are determined.
[0140] Figure 6 This is an operation sub-process of a thermal imaging device provided in an embodiment of the present application. The above step S507 can be further divided into the following steps:
[0141] S601: Acquire thermal imaging data.
[0142] S602: Determine whether the currently acquired thermal imaging data is the first focal length of the tracking mode. If so, jump to S603; if not, jump to S605.
[0143] S603: Setting the lens focus adjustment direction to “a direction away from the lens”.
[0144] S604: Increase the focal length of the zoom lens by one unit. Return to S601.
[0145] S605: Compare whether the maximum temperature of the current frame of thermal imaging data is higher than the maximum temperature of the previous frame of thermal imaging data. If not, jump to S606; if so, jump to S608.
[0146] S606: Changing the lens focus adjustment direction, setting the lens focus adjustment direction to “the direction closer to the lens”.
[0147] S607: Reduce the focal length of the zoom lens by one unit. Return to S601.
[0148] S608: Mark this frame of thermal imaging data as the highest temperature thermal imaging data, and remove the previous thermal imaging data marked as the highest temperature thermal imaging data.
[0149] S609: The thermal imaging device uploads the frame of thermal imaging data marked as the highest temperature thermal imaging to the backend processor. Return to S601.
[0150] In some embodiments, the operation of the tracking mode may not be limited to the above Figure 7 The operation method shown can also be the following:
[0151] Based on the above operation, when thermal imaging data at a temperature other than the highest temperature is detected, the lens focus adjustment direction is not immediately changed. Instead, thermal imaging data at several other focus distances is acquired in the original adjustment direction to confirm whether the thermal imaging data acquired by the thermal imaging device is gradually moving away from the location of the highest temperature. For example, assuming the lens focus adjustment direction of the thermal imaging device is "away from the lens" and thermal imaging data at the highest temperature is acquired in the 7th frame, if the temperature acquired in the 8th frame is lower than that in the 7th frame, the thermal imaging device may continue to acquire thermal imaging data in the 9th and 10th frames. If the temperatures in both the 9th and 10th frames are lower than those in the 7th frame, it can be confirmed that the thermal images acquired by the thermal imaging device are gradually moving away from the location of the highest temperature.
[0152] In tracking mode, the thermal imaging device defaults to a continuous focal length interval. When the highest temperature thermal image is detected, the thermal imaging device can use the focal length of the highest temperature thermal image data as the center of the continuous focal length interval, capture each thermal image in this focal length interval, and obtain high temperature distribution information within this range. For example, if the thermal imaging device defaults to a continuous focal length interval of 5 and the highest temperature thermal image is captured in the 7th frame, the thermal imaging device can capture thermal images at five focal lengths: 5, 6, 7, 8, and 9, and obtain the temperature distribution data corresponding to the highest temperature thermal image at these five consecutive focal lengths.
[0153] In an embodiment of the present application, by adjusting the focal length of the above-mentioned variable-focus lens, thermal imaging data of the thermal imaging module can be obtained when the above-mentioned variable-focus lens adopts different focal lengths. Based on the obtained thermal imaging data, the temperature distribution data in the current detection space can be determined, thereby accurately monitoring the temperature distribution of different areas in the home space, thereby helping to realize intelligent management of related equipment in the home space.
[0154] The present application also provides a temperature distribution monitoring system. Figure 7 This is a schematic diagram of the architecture of a temperature distribution monitoring system provided in an embodiment of the present application.
[0155] In some embodiments, the temperature distribution monitoring system includes a backend processor 701, a thermal imaging device 100, and associated equipment 702. The thermal imaging device 100 is the thermal imaging device provided in the above embodiments; the backend processor 701 and the associated equipment 702 are in communication with each other.
[0156] In some implementations, the backend processor 701 is configured to:
[0157] Receive the temperature distribution data in the current detection space uploaded by the thermal imaging device 100; monitor whether there is an abnormality in the current detection space based on the temperature distribution data; when an abnormality exists in the current detection space, control the associated device 702 based on the above temperature distribution data.
[0158] In some embodiments, the temperature distribution monitoring system can be applied to thermal imaging applications in a home space to detect temperature gradients within different distance ranges in the home space and take corresponding actions.
[0159] In some embodiments, the associated device 702 includes an air conditioner, and the backend processor 701 is specifically configured to:
[0160] Based on the above temperature distribution data, determine the temperature abnormality area in the above detection space and / or the temperature within the temperature abnormality area; based on the above temperature abnormality area and / or the temperature within the above temperature abnormality area, control the above air conditioner to perform the target operation.
[0161] Optionally, the above-mentioned target operation includes but is not limited to at least one of the following: adjusting the wind direction of the air outlet, adjusting the fan speed, adjusting the air outlet speed, and adjusting the air outlet temperature.
[0162] For example, a thermal imaging device can be used to detect the temperature of the home space where the air conditioner is located to find areas with uneven temperature, and then the air direction blades of the air conditioner can be controlled to make the temperature of the above-mentioned home space evenly distributed.
[0163] In some implementations, the backend processor 701 is further configured to:
[0164] Based on the distribution shape and temperature of the above-mentioned temperature abnormality area, determine whether there is a human body in the above-mentioned temperature abnormality area; when there is a human body in the above-mentioned temperature abnormality area, control the wind direction and air outlet temperature of the above-mentioned air conditioner to adjust the temperature of the remaining areas in the detection space except the temperature abnormality area.
[0165] In some implementations, the backend processor 701 is further configured to:
[0166] When there are human bodies in the abnormal temperature area, the number of human bodies in the abnormal temperature area is determined; and according to the number of human bodies in the abnormal temperature area, the air outlet temperature and / or air outlet speed of the air conditioner is controlled.
[0167] Figure 8 This is a schematic diagram of a home space provided in an embodiment of the present application. This illustration uses a space area 4 meters long, 3 meters wide, and 2.5 meters high, and a thermal imaging device with 8×8 sensing pixels. Thermal imaging device 100 is installed above any location in the home space, facing the direction of the home space to be measured. For example, thermal imaging device 100 can be placed on the 3-meter wide side of the home space, with the lens facing parallel to the 4-meter length.
[0168] Set the focal length range and number of steps for the zoom lens. For example, a focal length range of 1 meter has 4 focal steps. Divide your home space into 4 zones, for a total of 8 x 8 x 4 = 256 temperature zones.
[0169] In some embodiments, the thermal imaging device can construct a temperature model of the home space by sequentially scanning and detecting the temperature distribution at each focal length.
[0170] For example, the X-axis, Y-axis, and Z-axis of a home space are defined as follows: the X-axis of the home space is the X-axis of the 8×8 long-wave infrared radiation array of the thermal imaging device, with a numerical range of 0 to 7. The Y-axis of the home space is the Y-axis of the 8×8 long-wave infrared radiation array of the thermal imaging device, with a numerical range of 0 to 7. The Z-axis of the home space is the four focal plane positions of the thermal imaging device, with a numerical range of 1 to 4.
[0171] In some embodiments, the results detected by the thermal imaging device at various focal lengths may be expressed as temperature, which serves as a basis for subsequent data processing.
[0172] For example, Figure 9 Schematic diagram of the temperature detected by the thermal imaging device at various focal lengths in an embodiment of the present application.
[0173] In some embodiments, a first temperature sum of the temperature values corresponding to each sensing pixel in the multiple thermal imaging data obtained can be determined; a second temperature sum of the temperature values corresponding to all sensing pixels in each thermal imaging data obtained can be determined; and based on the above-mentioned first temperature sum and second temperature sum, a temperature abnormality area in the current detection space is determined.
[0174] For example, the sum of the temperatures of the sensing pixels in the four focal planes can be calculated. Based on the calculation results, the positions of the areas with large temperature differences in the focal planes can be determined, that is, the X and Y positions in the home space.
[0175] Figure 9 In the figure, the sum of the temperatures of the sensing pixel (0, 0) in the four focal planes is 100, the sum of the temperatures of the sensing pixel (5, 5) in the four focal planes is 120, the sum of the temperatures of the sensing pixel (4, 5) in the four focal planes is 105, and so on. By analogy, it can be determined that the areas with large temperature differences are concentrated in the areas where the sensing pixels (4, 4), (5, 3), (5, 4), (5, 5), and (6, 4) are located.
[0176] In some embodiments, the sum of the temperatures of each focal plane can be further calculated. Based on the calculation results, it can be determined that the areas with large temperature differences are distributed on those focal planes, that is, the Z positions in the home space.
[0177] Figure 9 The total temperature of the focal plane corresponding to focal length 1 is 1625, the total temperature of the focal plane corresponding to focal length 2 is 1645, the total temperature of the focal plane corresponding to focal length 3 is 1635, and the total temperature of the focal plane corresponding to focal length 4 is 1620. Based on this calculation result, it can be determined that the areas with large temperature differences are distributed on the focal planes corresponding to focal lengths 2 and 3.
[0178] Based on the sensing pixels with large temperature differences and the focal planes with large temperature differences determined above, the distribution of areas with large temperature differences in the home space can be constructed.
[0179] Figure 10 This is a schematic diagram of the distribution of areas with large temperature differences in a home space constructed in an embodiment of the present application. Figure 10 In the figure, the area with large temperature difference is represented by 1001.
[0180] In some embodiments, after completing the home space detection and calculation, the home space temperature distribution results can be transmitted to the air conditioning equipment main control module via wireless or wired communication. The air conditioning equipment main control module can make any one or more of the following adjustments based on the received home space temperature distribution results:
[0181] 1. Adjust the wind direction to control the blades toward a specific temperature area, such as the area with large temperature differences mentioned above.
[0182] 2. Adjust the fan speed and air output speed.
[0183] 3. Adapt the compressor output power or adjust the valve opening angle of the ice water valve to change the air outlet temperature.
[0184] By adjusting the temperature, wind direction, and wind speed of the air conditioner, areas with large temperature differences in the home space can be adjusted to be consistent with the surrounding space, achieving a uniform temperature in the home space.
[0185] In some embodiments, if the back-end processor determines that there is a human body in the area with the large temperature difference, the main control module of the air-conditioning equipment can appropriately adjust the air outlet temperature, wind direction, and wind speed to adjust the temperature around the human body to be consistent with the temperature of the rest of the home space, rather than lowering the temperature at the human body location.
[0186] Figure 11 This is an air conditioning temperature control application operation process provided in an embodiment of this application.
[0187] In some embodiments, the above-mentioned air conditioning temperature control application operation process includes:
[0188] S1101. The back-end processor analyzes the distribution of human body temperature.
[0189] S1102: Determine whether the human body temperature is concentrated in a specific area or widely distributed. If it is concentrated in a specific area, execute S1103; if it is widely distributed, jump to S1104.
[0190] S1103: The back-end processor sends a control instruction to the air-conditioning device to adjust the air outlet direction of the air-conditioning device toward the area where human bodies are concentrated.
[0191] S1104: The back-end processor sends a control instruction to the air-conditioning device to adjust the air outlet direction of the air-conditioning device toward the human body and cover a wide area.
[0192] S1105: The backend processor analyzes the depth of the human body within the home space, that is, the distance between the human body and the air outlet of the air conditioner. Based on the depth of the human body within the home space, the processor sends a control command to the air conditioner to adjust the air output of the air conditioner to reach the human body.
[0193] For example, if the human body is far away from the air-conditioning device, the air volume can be increased; if the human body is close to the air-conditioning device, the air volume can be reduced.
[0194] S1106. The back-end processor analyzes the number of people and adjusts the air outlet temperature of the air conditioner according to the number of people.
[0195] If the number of people mentioned above is large, the air outlet temperature of the air conditioner can be adjusted to a lower temperature so that the temperature of the home space reaches the target temperature faster; if the number of people mentioned above is small, the air outlet temperature of the air conditioner can be adjusted to the target temperature so that the temperature of the home space can be maintained at the target temperature.
[0196] The temperature distribution monitoring system provided in the embodiment of the present application can use a thermal imaging device to detect the temperature of the home space where the air conditioner is located, determine the temperature abnormality area, and control the wind direction blades of the air conditioner based on the temperature abnormality area, so as to make the temperature in the home space evenly distributed. In addition, by referring to the temperature of the human body, it can also better meet the needs of the human body.
[0197] In some embodiments, the associated device 702 includes a fire alarm device, and the backend processor 701 is specifically configured to:
[0198] Based on the above temperature distribution data, the temperature abnormality area in the detection space and / or the temperature of the temperature abnormality area are determined; when the range of the temperature abnormality area exceeds the default safety range, and / or the temperature of the temperature abnormality area meets the default alarm condition, the fire alarm equipment is triggered to sound an alarm.
[0199] In some embodiments, the associated device 702 further includes a stove and / or an exhaust device, and the backend processor 701 is further configured to:
[0200] When the range of the abnormal temperature area exceeds the default safety range, and / or the temperature of the abnormal temperature area meets the default alarm condition, the stove is turned off, and / or the exhaust device is turned on.
[0201] For example, a thermal imaging device may be used to detect the stove area. When the temperature of the stove area is sensed to exceed a set range, it is determined that an abnormal condition has occurred, and an alarm needs to be issued and safety handling operations need to be performed.
[0202] In some embodiments, the operation modes for detecting the stove area can be divided into two types: one is to detect the entire kitchen space, and the other is to detect whether the temperature of the cooking equipment area is abnormal.
[0203] Among them, for detecting the entire kitchen space, the system settings and data processing methods of the thermal imaging device are the same as those described in the above embodiment, and the temperature distribution data in the kitchen space can be transmitted to the kitchen equipment main control module. The difference is that the actions performed by the kitchen equipment main control module based on the received temperature distribution data in the kitchen space are different from those of the air conditioning equipment main control module.
[0204] For example, when the kitchen equipment main control module detects an abnormal temperature area in the kitchen space, the actions performed include: turning off the stove fuel (gas, electricity), turning on the exhaust device, sounding an alarm (sound, fire receiving switchboard), activating the fire extinguishing device, etc., which can be determined according to the system settings and actual conditions.
[0205] The following embodiments are described by taking the detection of only the cooking equipment area as an example.
[0206] In some embodiments, a thermal imaging device may be installed in the kitchen, facing the cooking equipment area, for example, the stove, oven, etc. Depending on the kitchen space and the location of the cooking equipment, at least one thermal imaging device may be installed, and the detection area only needs to cover the cooking equipment.
[0207] Furthermore, the focal length range and number of segments of the zoom lens can be set. Since the position of the cooking equipment will not change in the kitchen, the focal length and number of segments do not need to be too many. For example, the focal length range can be set to 0.3 meters, with a total of 3 focal segments. The focal length can also be fixed and not adjusted.
[0208] For example, if a thermal imaging device with 8×8 sensing pixels is used, the detection target space can be divided into a total of 8×8×3=192 temperature blocks.
[0209] In some embodiments, the thermal imaging device can sequentially scan and detect the temperature distribution at each focal length, construct a temperature model of the space surrounding the kitchen stove, and determine whether an abnormality occurs based on the temperature distribution of the three focal planes.
[0210] Figure 12 This is a schematic diagram of a scenario in which a thermal imaging device is used to detect the temperature of a cooking device area in an embodiment of the present application. Figure 12 In the figure, when the stove 300 is in normal use, the temperature of the first focal plane 1201 relative to the flame is about 50 degrees, and the temperature of the remaining area is slightly higher than the room temperature.
[0211] When the stove 300 is in normal use, the temperature of the second focal plane 1202 relative to the flame is about 95 degrees, and the temperature of the rest of the area is significantly higher than room temperature.
[0212] When the stove 300 is in normal use, the temperature of the third focal plane 1203 relative to the flame exceeds 1000 degrees, and the temperature of the remaining area is significantly higher than 75 degrees.
[0213] Reference Figures 13 to 15 Schematic diagram of the temperatures detected at each focal plane in the embodiment of the present application.
[0214] like Figure 13 As shown (the darker the color corresponding to the sensing pixel, the higher the temperature), when the stove 300 is operating normally, the focal plane focused on the flame has the highest temperature, and the farther the focal plane is from the flame, the faster the temperature drops. Only the temperature of the area relative to the flame is high, and the rest of the temperature is close to or slightly higher than room temperature.
[0215] like Figure 14 As shown (the darker the color of the sensing pixel, the higher the temperature), if the cookware is dry-burning or other abnormal conditions occur, the cookware temperature will rise. The high temperature range focused on the focal plane of the flame will spread toward the cookware. The farther away from the focal plane from the flame, the faster the temperature drops. Only the temperature relative to the flame is high, while the rest of the temperature is close to or slightly above room temperature. This can be used to determine that the cookware temperature has increased abnormally.
[0216] like Figure 15 As shown (the darker the color of the sensing pixel, the higher the temperature), when the flame of the kitchen stove and the pot spreads over a large area, the focal plane focused on the flame shows a large area of high temperature. Because the flame and high temperature spread to the focal plane farther away from the flame, the remaining temperature is significantly higher than the room temperature. This can be used to determine that a dangerous disaster has occurred in the kitchen stove area.
[0217] In some embodiments, the backend processor can transmit the kitchen stove temperature distribution results to the kitchen equipment main control module via wireless or wired communication. The kitchen equipment main control module determines whether an abnormality has occurred based on the received kitchen space temperature distribution. If an abnormality is determined, the kitchen equipment main control module can execute a default emergency response. For example, the response may include shutting off the stove fuel (gas, electricity), activating the exhaust system, sounding an alarm (sound, fire alarm), activating the fire extinguisher, etc. The specific response can be determined based on system settings and actual conditions.
[0218] Figure 16 This is a kitchen abnormality detection and alarm operation process provided in an embodiment of the present application.
[0219] In some embodiments, the above kitchen anomaly detection and alarm operation process includes:
[0220] S1601, detecting the temperature of the stove area.
[0221] S1602: Determine whether there is a flame in the stove area. If so, execute S1603 to analyze the flame distribution area; if not, return to S1601 to continue detecting the temperature of the stove area.
[0222] S1603. Analyze the flame distribution area.
[0223] S1604: Determine whether the flame in the stove area is distributed within a normal area, which can be defined as the stove fire position and the bottom of the pot ignition position. If so, return to S1601 to continue detecting the stove area temperature; if not, execute S1605 to analyze the flame coverage.
[0224] S1605. Analyze the coverage of the flame in the stove area.
[0225] S1606: Determine whether the flame's coverage of the stove area has reached a dangerous state. This dangerous state can be defined as the flame's position significantly exceeding the stove's fire position and the pot's bottom fire position. If so, proceed to S1607; if not, return to S1601 to continue detecting the stove area temperature.
[0226] S1607. Execute abnormal handling measures.
[0227] Optionally, the back-end processor can send control instructions to the stove equipment, exhaust equipment, and fire-fighting equipment to interrupt the gas supply of the stove equipment, open the exhaust equipment to the maximum air volume to remove thick smoke, and start the fire-fighting equipment to extinguish the flame, such as spraying fire-extinguishing materials toward the flame location.
[0228] Optionally, the back-end processor can also send control instructions to the regional alarm system, including the home area alarm system and the fire receiving switchboard in a large area, to initiate the alarm release action, including flashing alarm lights and sounding alarms, so that people in the home space can discover abnormal fire conditions in the stove area in real time.
[0229] Optionally, the back-end processor can also send control instructions to the fire department, so that the fire department can know in real time whether an abnormal fire situation has occurred at the location.
[0230] S1608: Determine whether the dangerous state is resolved. If so, return to S1601 to continue detecting the stove area temperature; if not, return to S1607.
[0231] In some embodiments, the backend processor checks the fire alarm status of the large-scale fire control center. It determines whether the large-scale fire control center is responding. If so, the fire alarm status is determined. If not, it determines that a communication anomaly exists between the large-scale fire control center and the backend processor, and the process returns to S1607.
[0232] In some embodiments, if the fire alarm is continuously sounding, the fire has not yet been resolved, and the process returns to step S1607. If the fire alarm is intermittently sounding, the process continues to determine whether the fire alarm at the fire control center in the larger area has actually been resolved. If so, the process stops at step S1607 and returns to step S1601 to continue detecting the stove area temperature. If not, the process returns to step S1607.
[0233] The temperature distribution monitoring system provided in the embodiment of the present application can use a thermal imaging device to detect the stove area. When it is sensed that the temperature of the stove area exceeds the set range, it will execute alarm and fire extinguishing measures, which can effectively ensure the safety of the home environment.
[0234] In some embodiments, the associated device 702 may also be a television, and the backend processor 701 is specifically configured to:
[0235] Based on the above temperature distribution data, the position of the human body in the detection space is determined; based on the position of the human body in the detection space, the distance between the human body and the TV is determined; based on the distance between the human body and the TV, the screen brightness of the TV is adjusted.
[0236] For example, if the human body is close to the TV, in order to reduce eye fatigue and blue light damage, the back-end processor can lower the TV screen brightness; on the contrary, if the human body is far away, in order to improve the viewing experience, the TV screen brightness can be appropriately increased.
[0237] The temperature distribution monitoring system provided in the embodiments of the present application can use a thermal imaging device to determine the temperature distribution data in a home space. Based on the temperature distribution data, the position of the human body in the home space can be determined. Therefore, the screen brightness of the TV can be adjusted according to the distance between the human body and the TV, which not only helps to improve the user's viewing comfort, but also helps to save energy and extend the service life of the TV.
[0238] In some embodiments, the associated device 702 further includes an audio device, and the backend processor 701 is specifically configured to:
[0239] The position of the human body in the detection space is determined based on the temperature distribution data; and the sound field of the audio equipment is adjusted based on the position of the human body in the detection space.
[0240] In some embodiments, after determining the position of the human body, the backend processor can adjust the sound field settings of the audio device according to the default audio optimization strategy, including adjusting the volume, pan (left and right channel balance), pitch (front and back channel balance), and sound effect mode.
[0241] For example, if a person is located on the left side of the detection space, the back-end processor can increase the volume of the left speaker and adjust the pan setting to make the sound more biased to the left, thereby creating a more realistic sound field effect.
[0242] In some embodiments, the back-end processor can also adjust the volume based on the distance between the human body and the audio equipment to ensure that the user can get the best listening experience no matter where he sits.
[0243] It is understandable that the division of the various units or modules in the above-mentioned thermal imaging device is merely a division of logical functions. Each function may correspond to a unit / functional module, or two or more functions may be integrated into one unit / functional module. In actual implementation, all or part of the units / modules may be integrated into one physical entity, or distributed across different physical entities. In addition, depending on the actual situation, the above-mentioned functional modules may be implemented in the form of hardware, software, or a combination of hardware and software. Whether a function is executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0244] In the above embodiments, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps provided in this application may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
[0245] The functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0246] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or CD, and other media that can store program code.
[0247] Finally, it should be noted that this application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art that are not claimed in this application. It is not limited to the precise structure described above and shown in the drawings, and various modifications and changes may be made without departing from the scope of this application. The scope of this application is limited only by the appended claims.
Claims
1. A thermal imaging device, characterized in that: The thermal imaging device includes a variable focus lens, a thermal imaging module, and a processing module; the processing module is used to: Adjusting the focal length of the variable-focus lens according to the temperature change in the current detection space; acquiring thermal imaging data of the thermal imaging module when the variable-focus lens adopts different focal lengths; The temperature distribution data in the current detection space is determined based on the acquired thermal imaging data.
2. The thermal imaging device according to claim 1, characterized in that The processing module is specifically used for: When the acquired thermal imaging data does not change within a default time period, the focal length of the variable focus lens is adjusted.
3. The thermal imaging device according to claim 2, characterized in that The processing module is specifically used for: The focal length of the variable focus lens is adjusted according to a default focal length adjustment interval and a default focal length adjustment period.
4. The thermal imaging device according to claim 1, characterized in that The processing module is specifically used for: When an abnormal temperature value appears in the acquired thermal imaging data, the focal length of the variable focus lens is adjusted.
5. A thermal imaging device, characterized in that: The thermal imaging device includes a variable focus lens, a thermal imaging module, and a processing module; the processing module is used to: Adjusting the focal length of the variable-focus lens according to the temperature change in the current detection space; acquiring thermal imaging data of the thermal imaging module when the variable-focus lens adopts different focal lengths; When an abnormal temperature value appears in the acquired thermal imaging data, the focal length of the variable focus lens is adjusted.
6. The thermal imaging device according to claim 4 or 5, characterized in that: The processing module is further configured to: Determine the focal length corresponding to the first thermal imaging data having a pixel point with abnormal temperature; acquiring, based on the focal length corresponding to the first thermal imaging data, second thermal imaging data having a focal length adjacent to the focal length corresponding to the first thermal imaging data; The position of the pixel with the highest temperature among the temperature-abnormal pixels and / or the distribution range of the temperature-abnormal pixels in the detection space are determined based on the first thermal imaging data and the second thermal imaging data.
7. The thermal imaging device according to claim 5, characterized in that The processing module is specifically used for: The focal length of the variable focus lens is adjusted according to a default focal length adjustment interval and a default focal length adjustment period.
8. The thermal imaging device according to any one of claims 1 to 7, characterized in that: The thermal imaging module includes a thermal radiometer, which includes a plurality of sensing pixels; the processing module is specifically configured to: determining detection data of each of the sensing pixels when the variable focus lens adopts different focal lengths; determining a temperature value corresponding to each of the sensing pixels according to detection data of each of the sensing pixels; Temperature distribution data in the current detection space is determined according to the temperature value corresponding to each of the sensing pixels when the variable focus lens adopts different focal lengths.
9. The thermal imaging device according to claim 8, characterized in that The processing module is further configured to: Determining a first temperature sum of temperature values corresponding to each sensing pixel in the acquired plurality of thermal imaging data; Determine a second temperature sum of temperature values corresponding to all sensing pixels in each acquired thermal imaging data; An abnormal temperature area in the current detection space is determined according to the first temperature sum and the second temperature sum.
10. A temperature distribution monitoring system, characterized in that: The device comprises a back-end processor and a thermal imaging device, wherein the thermal imaging device is the thermal imaging device according to any one of claims 1 to 9; the back-end processor is configured to: receiving temperature distribution data in the current detection space uploaded by the thermal imaging device; Monitoring whether there is any abnormality in the current detection space based on the temperature distribution data; When an abnormal situation exists in the current detection space, the associated devices connected to the back-end processor are controlled according to the temperature distribution data.
11. The system according to claim 10, wherein: The associated device includes an air conditioner, and the back-end processor is specifically used for: determining a temperature abnormality region within the detection space and / or a temperature within the temperature abnormality region based on the temperature distribution data; According to the abnormal temperature area and / or the temperature within the abnormal temperature area, the air conditioner is controlled to perform a target operation; the target operation includes but is not limited to at least one of the following: adjusting the air outlet wind direction, adjusting the fan speed, adjusting the air outlet speed, and adjusting the air outlet temperature.
12. The system according to claim 11, wherein: The back-end processor is further configured to: Determining whether a human body exists in the temperature abnormality area according to the distribution shape and temperature of the temperature abnormality area; When a human body exists in the temperature abnormal area, the wind direction and outlet temperature of the air conditioner are controlled to adjust the temperature of the remaining areas in the detection space except the temperature abnormal area.
13. The system according to claim 12, wherein: The back-end processor is further configured to: When a human body exists in the abnormal temperature area, determining the number of human bodies in the abnormal temperature area; The air outlet temperature and / or air outlet speed of the air conditioner is controlled according to the number of human bodies in the temperature abnormality area.
14. The system according to claim 10, wherein: The associated equipment includes a fire alarm device, and the back-end processor is further used for: determining a temperature abnormality region within the detection space and / or the temperature of the temperature abnormal region based on the temperature distribution data; When the range of the temperature abnormality area exceeds the default safety range, and / or the temperature of the temperature abnormality area meets the default alarm condition, the fire alarm device is triggered to sound an alarm.
15. The system according to claim 14, wherein: The associated equipment also includes a stove and / or an exhaust device, and the back-end processor is further configured to: When the range of the abnormal temperature area exceeds the default safety range, and / or the temperature of the abnormal temperature area meets the default alarm condition, the stove is turned off, and / or the exhaust device is turned on.
16. The system according to claim 10, wherein: The associated device includes a television, and the back-end processor is specifically configured to: determining a position of a human body in the detection space according to the temperature distribution data; determining the distance between the human body and the television according to the position of the human body in the detection space; The screen brightness of the television is adjusted according to the distance between the human body and the television.
17. The system according to claim 10, wherein: The associated device includes an audio device, and the back-end processor is specifically used for: determining a position of a human body in the detection space according to the temperature distribution data; The sound field of the audio device is adjusted according to the position of the human body in the detection space.