WO2019242386A1 - Smart humidification-type heater - Google Patents

Smart humidification-type heater Download PDF

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Publication number
WO2019242386A1
WO2019242386A1 PCT/CN2019/082524 CN2019082524W WO2019242386A1 WO 2019242386 A1 WO2019242386 A1 WO 2019242386A1 CN 2019082524 W CN2019082524 W CN 2019082524W WO 2019242386 A1 WO2019242386 A1 WO 2019242386A1
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WIPO (PCT)
Prior art keywords
image
sub
visible light
humidity
background
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PCT/CN2019/082524
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French (fr)
Chinese (zh)
Inventor
葛高丽
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葛高丽
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Publication of WO2019242386A1 publication Critical patent/WO2019242386A1/en

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00—Details
    • F24D19/10—Arrangement or mounting of control or safety devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00—Details
    • F24D19/008—Details related to central heating radiators
    • F24D19/0082—Humidifiers for radiators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D13/00—Electric heating systems
    • F24D13/02—Electric heating systems solely using resistance heating, e.g. underfloor heating
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00—Details
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging

Definitions

  • the invention relates to the field of materials and instruments, in particular to an intelligent humidifier heater.
  • a suitable heater according to the actual situation of the room. Since the capacity of household electricity meters is generally 3 to 10 amps, it is best to choose a heater with a power of less than 2000W to avoid power outages if the power is too large. If you live in a bungalow or heat insulation For houses with poor results, consider increasing the heating power appropriately. If the home already has heating, it just doesn't feel too warm. Although the living room area is more than 20 square meters, buying a 1500W or even 1000W electric heater is enough.
  • the present invention provides an intelligent humidifier heater. By identifying targets around the heater, it is possible to improve the humidification operation when it is determined that there is an explosive substance in the liquefied bottle. To reduce the probability of explosion and effectively maintain the safety of the scene.
  • the differential processing is performed on each position of the image, and the results of the differential processing are combined to reconstruct a clearer image than the original image. Based on the rough detection of the target contour, an area division strategy for the image is obtained. On this basis, the target image after the background is stripped is obtained with high accuracy; the background matching method is used to determine whether the output image of the visible light camera is due to The position change of the visible light camera causes a change in position. It is particularly important that a self-adjusting unit is also built in the visible light camera to perform self-recovery of the position according to the change of the position.
  • an intelligent humidifier heater is provided, and the system includes:
  • Humidity detection equipment is arranged on the side wall of the heater and is used to detect the humidity of the location where the heater is located to obtain and output the humidity of the location; the intelligent humidifier is arranged above the top of the heater and communicates with The humidity detection device is connected to receive the humidity at the location and stop the humidification operation when the humidity at the location is greater than or equal to a preset humidity threshold; a visible light camera is disposed on the side wall of the heater for heating The scene where the camera is located is captured by visible light to obtain and output the corresponding visible light image; the infrared measuring instrument includes an infrared emitting unit, an infrared receiving unit, and a microcontroller, and the infrared emitting unit is located on the visible light camera for vertical downward The infrared signal is transmitted.
  • the infrared receiving unit is located beside the infrared transmitting unit and is used to receive the reflected infrared signal.
  • the microcontroller is connected to the infrared transmitting unit and the infrared receiving unit, respectively. Transmission time of the transmitting unit and the infrared receiving The receiving time of the unit determines the real-time vertical position of the visible light camera; triggers a start-up device connected to the infrared measuring instrument for issuing a start-up control signal when the real-time vertical position deviates from a preset vertical position and exceeds the limit, and is also used for When the real-time vertical position deviates from the preset vertical position and does not exceed the limit, a shutdown control signal is issued; a pixel value matching device is connected to the trigger activation device and the visible light camera, respectively, for receiving the activation control signal Performing background extraction on the visible light image to obtain a real-time background image, and matching the real-time background image with a preset background image to send a matching failure signal when the degree
  • the threshold size of the image used to strip the background is also used to perform the following processing for each sub-image: performing background stripping on the sub-image using the adjusted threshold to obtain the corresponding target area; the target image extraction device also Used to integrate each target area corresponding to each sub-image to obtain a target map And outputting the target image; in the target image extraction device, adjusting the threshold size for peeling the background of the corresponding sub-image based on the width of its dynamic range includes: the narrower the width of its dynamic range, the adjusted the corresponding sub-image's The smaller the threshold for peeling the background; the Gaussian filtering device is connected to the target image extraction device and is used to receive the target image and perform a corresponding number of times proportional to the target image noise amplitude on the target image Gaussian filtering processing to obtain a corresponding adaptively filtered image; an image discrimination device connected to the Gaussian filtering device for receiving the adaptively filtered image, and performing
  • the sharpening force of performing the image sharpening process of the first-level sharpening force is greater than the image sharpening process of performing the second-level sharpening force.
  • the intelligent humidifier heater is further connected to the object recognition device for reducing the intensity of the humidification operation when the signal of the absence of the liquefaction bottle is received.
  • the intelligent humidifier heater is further configured to start a humidification operation when the humidity at the location is less than the preset humidity threshold.
  • the area processing device and the target image extraction device are implemented by using different types of FPGA chips.
  • the visible light camera further includes a self-adjusting unit, which is connected to the pixel value matching device and is configured to detect the visible light when the matching failure signal is received.
  • the camera performs self-adjustment of the vertical position to restore the real-time vertical position of the visible light camera to the preset vertical position.
  • the pixel value matching device is further configured to stop the background extraction of the visible light image when the shutdown control signal is received, and send a matching success signal .
  • the self-adjusting unit is further configured to stop self-adjusting the vertical position of the visible light camera when receiving the matching success signal.
  • the safety performance of the heater is very important. When buying a heater, you should choose those products that have been compulsorily certified by the state (that is, with the 3C mark). Bathroom waterproof heaters should also have a waterproof certification mark. Don't just cheap.
  • the 3C certification that we usually refer to is the "CCC certification", which is the collective name of the FC American certification mark, CE European certification mark and China Great Wall certification. Certification.
  • the present invention sets up an intelligent humidifying heater, which can effectively solve the corresponding technical problems.
  • a humidity detection device which is arranged on a side wall of a heater and is configured to detect the humidity of the location where the heater is located to obtain and output the humidity of the location;
  • An intelligent humidifier is disposed above the top of the heater and is connected to the humidity detection device to receive the humidity at the location and stop the humidification operation when the humidity at the location is greater than or equal to a preset humidity threshold;
  • the visible light camera is arranged on the side wall of the heater, and is used for shooting visible light of the scene where the heater is located to obtain and output a corresponding visible light image;
  • the infrared measuring instrument includes an infrared emitting unit, an infrared receiving unit and a microcontroller.
  • the infrared emitting unit is located on the visible light camera and is used to vertically emit infrared signals.
  • the infrared receiving unit is located beside the infrared emitting unit.
  • the microcontroller is connected to the infrared transmitting unit and the infrared receiving unit, respectively, and is configured to determine an infrared signal based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit.
  • the real-time vertical position of the visible light camera
  • the triggering device is connected to the infrared measuring instrument, and is used for sending a startup control signal when the real-time vertical position deviates from the preset vertical position and exceeds the limit, and is also used when the real-time vertical position deviates from the preset vertical position and does not exceed the limit. , Sends a shutdown control signal;
  • the pixel value matching device is respectively connected to the triggering start device and the visible light camera, and is configured to perform background extraction on the visible light image when the start control signal is received to obtain a real-time background image, and
  • the real-time background image is matched with a preset background image to send a matching failure signal when the matching degree is less than a preset percentage threshold, and is also used to send a matching success signal when the matching degree is greater than or equal to a preset percentage threshold;
  • An area processing device connected to the visible light camera and configured to receive the visible light image and perform contour extraction on each target in the visible light image to obtain each distribution area of each target in the visible light image, the area The processing device is further configured to block the visible light image to obtain each sub-image; in the area processing device, for the visible light image, the size of the sub-image obtained by uniformly dividing each distribution area Smaller than the size of the sub-image obtained by uniformly segmenting the undistributed area, and uniformly dividing each distribution area includes: the larger the area of the distribution area, the larger the size of the sub-image obtained by segmentation;
  • the target image extraction device is connected to the area processing device, and is configured to receive each sub-image of the visible light image and detect the dynamic range of each sub-image. For each sub-image, adjust the correspondence based on the width of its dynamic range.
  • the threshold size of the sub-image used to strip the background is also used to perform the following processing for each sub-image: performing background stripping on the sub-image using the adjusted threshold to obtain the corresponding target area; the target image extraction device It is also used to integrate each target area corresponding to each sub-image to obtain a target image, and output the target image; in the target image extraction device, adjust the corresponding sub-image for stripping the background based on the width of its dynamic range.
  • the threshold size includes: the narrower the width of its dynamic range, the smaller the threshold for peeling the background of the adjusted corresponding sub-image;
  • a Gaussian filtering device connected to the target image extraction device and configured to receive the target image and perform a corresponding number of Gaussian filtering processes on the target image that are proportional to the noise amplitude of the target image to obtain a corresponding Adaptive filtering image;
  • An image discriminating device connected to the Gaussian filtering device, for receiving the adaptive filtered image, performing uniform blocking on the adaptive filtered image to obtain each sub-block sub-image, and whether to perform each sub-block sub-image Detection processing for the presence of edge lines, using the sub-images with edge lines as reference sub-images, and the sub-images with no edge lines as non-reference sub-images, and multiple sub-images in each reference sub-image area Outputting, as multiple secondary sub-images, each secondary sub-image in the adaptively filtered image, and outputting each reference sub-image in the adaptively-filtered image;
  • a hierarchical processing device connected to the image discrimination device and configured to receive each reference sub-image and each secondary sub-image in the adaptively filtered image, and perform image sharpening of the first-level sharpening force on each reference sub-image Sharpening processing to obtain each reference sharpening sub-image, performing image sharpening processing of secondary sharpening intensity on each secondary sub-image to obtain each secondary sharpening sub-image, and further used to sharpen each reference Combine the sub-images, each sub-sharpened sub-image, and non-reference sub-images of each non-sub-sharpened sub-image to obtain a combined image;
  • An object recognition device connected to the classification processing device and configured to receive the combined image, identify a corresponding liquefied bottle image from the combined image based on a preset liquefaction bottle gray threshold, and perform a liquefaction bottle image on the liquefied bottle image. Perform a background analysis to obtain a background sub-image corresponding to the size of the liquefaction bottle image, subtract the background sub-image pixel by pixel from the liquefaction bottle image to obtain a corresponding foreground sub-image, and calculate pixel values in the foreground sub-image The number of non-zero pixels. When the number of non-zero pixels is greater than or equal to the preset pixel number threshold, a signal of the presence of a liquefied bottle is issued; otherwise, a signal of the absence of a liquefied bottle is issued;
  • the smart humidifier is also connected to the object recognition device, and is used to increase the intensity of the humidification operation when the signal of the presence of the liquefied bottle is received.
  • the sharpening strength of the image sharpening processing that performs the first-level sharpening strength is greater than the image sharpening processing that performs the second-level sharpening strength.
  • the intelligent humidifier is further connected to the object recognition device, and is configured to reduce the intensity of the humidification operation when the signal of the absence of the liquefaction bottle is received.
  • the intelligent humidifier heater is further configured to start a humidification operation when the humidity at the location is less than the preset humidity threshold.
  • the area processing device and the target image extraction device are implemented by using different types of FPGA chips.
  • the visible light camera further includes a self-adjusting unit, which is connected to the pixel value matching device and is configured to vertically position the visible light camera when the matching failure signal is received. Self-adjusting to restore the real-time vertical position of the visible light camera to the preset vertical position.
  • the pixel value matching device is further configured to stop the background extraction of the visible light image when receiving the shutdown control signal, and send a matching success signal.
  • the self-adjusting unit is further configured to stop self-adjusting the vertical position of the visible light camera when the matching success signal is received.
  • the intelligent humidifier heater further includes an optical fiber transmission interface connected to the object recognition device and used to forward the signal of the presence of a liquefied bottle or the signal of the absence of a liquefied bottle.
  • Optical fiber is short for optical fiber. It is a fiber made of glass or plastic, which can be used as a light transmission tool. The transmission principle is total reflection of light. The tiny optical fiber is encapsulated in a plastic sheath, which allows it to bend without breaking.
  • a transmitting device at one end of an optical fiber uses a light emitting diode (LED) or a laser beam to transmit a light pulse to the optical fiber, and a receiving device at the other end of the optical fiber uses a photosensitive element to detect the pulse.
  • LED light emitting diode
  • a receiving device at the other end of the optical fiber uses a photosensitive element to detect the pulse.
  • the core diameter is 50 ⁇ m and 62.5 ⁇ m, which is roughly equivalent to the thickness of a human hair.
  • the diameter of a single-mode fiber core is 8 ⁇ m to 10 ⁇ m, and 9/125 ⁇ m is commonly used.
  • a glass envelope with a lower refractive index than the core is surrounded on the outside of the core, commonly known as a cladding.
  • the cladding keeps the light inside the core. Outside is a thin plastic jacket, or coating, to protect the cladding.
  • Optical fibers are usually bundled and protected by a housing.
  • the core is usually a double-layer concentric cylinder made of quartz glass with a small cross-sectional area. It is brittle in texture and easy to break, so it needs a protective layer.
  • target recognition is performed around the heater to improve the strength of the humidification operation when it is determined that there is an explosive product of a liquefied bottle , Reduce the probability of explosion, and effectively maintain the safety of the scene.
  • the differential processing is performed on each position of the image, and the results of the differential processing are combined to reconstruct a clearer image than the original image;
  • the target contour is performed on the image Based on the rough detection of the image, a region division strategy for the image is obtained, and on this basis, the target image after the background is stripped is obtained with high accuracy;
  • the background matching method is used to determine whether the output image of the visible light camera is due to the
  • the position change of the visible light camera causes a change in position. It is particularly important that a self-adjusting unit is also built in the visible light camera to automatically recover the position according to the change of the position, thereby solving the above technical problems.

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Abstract

The present invention relates to a smart humidification-type heater, comprising: a humidity detection device, arranged on a side wall of the heater, and used for obtaining the humidity of the position where the humidity detection device is located; a smart humidifier used for stopping a humidification operation when the humidity of the position where the humidity detection device is located is greater than or equal to a preset humidity threshold value; and an object identification device used for identifying, based on a preset liquid gas bottle gray scale threshold value, a corresponding liquid gas bottle sub-image from a combined image; carrying out background analysis on the liquid gas bottle sub-image to obtain a background sub-image with a size corresponding to the size of the liquid gas bottle sub-image; deducting, on a pixel-by-pixel basis, the background sub-image from the liquid gas bottle sub-image, so as to obtain a corresponding foreground sub-image; calculating the number of pixels with non-zero pixel values in the foreground image; and when the number of pixels with non-zero pixel values is greater than or equal to a preset threshold value of the number of pixels, issuing a signal indicating the existence of a liquid gas bottle. The smart humidifier is further used for improving the strength of the humidification operation thereof when receiving the signal indicating the existence of the liquid gas bottle. By means of the present invention, operating reliability of a heater site can be improved.

Description

智能化加湿式取暖器Intelligent humidifier heater 技术领域Technical field
本发明涉及材料器械领域，尤其涉及一种智能化加湿式取暖器。The invention relates to the field of materials and instruments, in particular to an intelligent humidifier heater.
背景技术Background technique
根据房间的实际情况来选择合适的取暖器，由于家用电表容量一般在3～10安培，最好选功率在2000W以下的取暖器，以免功率过大发生断电，如果您住的是平房或保温效果不好的房子，可考虑适当提高加热功率。如果家里已经有暖气，只是感觉不太暖和，虽然居室面积有20多平方米，购买一台1500W甚至1000W的电暖气也足够。Choose a suitable heater according to the actual situation of the room. Since the capacity of household electricity meters is generally 3 to 10 amps, it is best to choose a heater with a power of less than 2000W to avoid power outages if the power is too large. If you live in a bungalow or heat insulation For houses with poor results, consider increasing the heating power appropriately. If the home already has heating, it just doesn't feel too warm. Although the living room area is more than 20 square meters, buying a 1500W or even 1000W electric heater is enough.
发明内容Summary of the Invention
为了解决目前取暖器无法实施现场安全防护的技术问题，本发明提供了一种智能化加湿式取暖器，通过对取暖器周围进行目标识别，以在确定存在液化瓶易爆品时，提高加湿操作的力度，减少***的概率，有效维护现场安全，其中，对图像的各个位置进行区别式处理，并将区别式处理后的结果进行组合，以重建比原图像更清晰的图像；在对图像进行目标轮廓的粗略检测的基础上，获取对图像的区域划分策略，在此基础上，对剥离背景后的目标图像进行高精度获取；采用背景匹配的方式，确定所述可见光摄像头的输出图像是否因为所述可见光摄像头的失位而产生位置的改变，尤为重要的是，还在可见光摄像头中内设自调节单元，以根据位置的改变情况进行位置的自行恢复。In order to solve the technical problem that the current heater cannot implement on-site safety protection, the present invention provides an intelligent humidifier heater. By identifying targets around the heater, it is possible to improve the humidification operation when it is determined that there is an explosive substance in the liquefied bottle. To reduce the probability of explosion and effectively maintain the safety of the scene. Among them, the differential processing is performed on each position of the image, and the results of the differential processing are combined to reconstruct a clearer image than the original image. Based on the rough detection of the target contour, an area division strategy for the image is obtained. On this basis, the target image after the background is stripped is obtained with high accuracy; the background matching method is used to determine whether the output image of the visible light camera is due to The position change of the visible light camera causes a change in position. It is particularly important that a self-adjusting unit is also built in the visible light camera to perform self-recovery of the position according to the change of the position.
根据本发明的一方面，提供了一种智能化加湿式取暖器，所述***包括：According to an aspect of the present invention, an intelligent humidifier heater is provided, and the system includes:
湿度检测设备，设置在取暖器的侧壁上，用于对所述取暖器所在位置的湿度进行检测，以获得并输出所在位置湿度；智能加湿器，设置在取暖 器的顶部的上方，与所述湿度检测设备连接，用于接收所述所在位置湿度，并在所述所在位置湿度大于等于预设湿度阈值时，停止加湿操作；可见光摄像头，设置在取暖器的侧壁上，用于对取暖器所在场景进行可见光拍摄，以获得并输出对应的可见光图像；红外线测量仪，包括红外线发射单元、红外线接收单元以及微控制器，所述红外线发射单元位于所述可见光摄像头上，用于垂直向下发射红外线信号，红外线接收单元位于所述红外线发射单元旁，用于接收反射回来的红外线信号，所述微控制器分别与所述红外线发射单元和所述红外线接收单元连接，用于基于所述红外线发射单元的发射时间和所述红外线接收单元的接收时间确定所述可见光摄像头的实时垂直位置；触发启动设备，与所述红外测量仪连接，用于在所述实时垂直位置偏离预设垂直位置超限时，发出启动控制信号，还用于在所述实时垂直位置偏离预设垂直位置未超限时，发出关闭控制信号；像素值匹配设备，分别与所述触发启动设备和所述可见光摄像头连接，用于在接收到所述启动控制信号时，对所述可见光图像进行背景提取，以获得实时背景图像，并将所述实时背景图像与预设背景图像进行匹配，以在匹配度小于预设百分比阈值时，发出匹配失败信号，还用于在匹配度大于等于预设百分比阈值时，发出匹配成功信号；区域处理设备，与所述可见光摄像头连接，用于接收所述可见光图像，对所述可见光图像中的各个目标进行轮廓提取，以获得各个目标在所述可见光图像中的各个分布区域，所述区域处理设备还用于对所述可见光图像进行分块，以获得各个子图像；在所述区域处理设备中，针对所述可见光图像，对每一个分布区域进行均匀式分割而获得的子图像的尺寸小于对未分布区域进行均匀式分割而获得的子图像的尺寸，以及对每一个分布区域进行均匀式分割包括：分布区域的面积越大，分割而获得的子图像的尺寸越大；目标图像提取设备，与所述区域处理设备连接，用于接收所述可见光图像的各个子图像，并检测每一个子图像的动态范围，针对每一个子图像，基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小，还用于针对每一个子图像执行以下处理：采用调整后的阈值对所述子图像进行背景剥离，以获得对应的目标区域；所述目标图像提取设备还用于将各个子图像对应的各个目标区域进行整合以获得目标图像，并输出所述目标图像；在目标图像提取设备中， 基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小包括：其动态范围的宽度越窄，调整的对应子图像的用于剥离背景的阈值越小；高斯滤波设备，与所述目标图像提取设备连接，用于接收所述目标图像，并对所述目标图像执行与所述目标图像噪声幅值成正比的相应次数的高斯滤波处理，以获得对应的自适应滤波图像；图像区分设备，与所述高斯滤波设备连接，用于接收所述自适应滤波图像，对所述自适应滤波图像执行均匀分块以获得各个分块子图像，对每一个分块子图像执行是否存在边缘线的检测处理，以将存在边缘线的分块子图像作为参考子图像，以及将不存在边缘线的分块子图像作为非参考子图像，将每一个参考子图像领域的多个子图像作为多个次级子图像，输出所述自适应滤波图像中的各个次级子图像，以及输出所述自适应滤波图像中的各个参考子图像；分级处理设备，与所述图像区分设备连接，用于接收所述自适应滤波图像中的各个参考子图像和各个次级子图像，对所述各个参考子图像执行一级锐化力度的图像锐化处理以获得各个参考锐化子图像，对所述各个次级子图像执行二级锐化力度的图像锐化处理以获得各个次级锐化子图像，还用于将所述各个参考锐化子图像、各个次级锐化子图像以及各个非次级锐化子图像的非参考子图像进行组合以获得已组合图像；对象识别设备，与所述分级处理设备连接，用于接收所述已组合图像，基于预设液化瓶灰度阈值从所述已组合图像中识别出对应的液化瓶子图像，对所述液化瓶子图像进行背景分析以获得与所述液化瓶子图像对应大小的背景子图像，对所述液化瓶子图像逐像素减去所述背景子图像以获得对应的前景子图像，计算所述前景子图像中像素值非零的像素的数量，当非零的像素的数量大于等于所述预设像素数量阈值时，发出存在液化瓶信号，否则，发出不存在液化瓶信号；其中，所述智能加湿器还与所述对象识别设备连接，用于在接收到所述存在液化瓶信号时，提高其加湿操作的力度。Humidity detection equipment is arranged on the side wall of the heater and is used to detect the humidity of the location where the heater is located to obtain and output the humidity of the location; the intelligent humidifier is arranged above the top of the heater and communicates with The humidity detection device is connected to receive the humidity at the location and stop the humidification operation when the humidity at the location is greater than or equal to a preset humidity threshold; a visible light camera is disposed on the side wall of the heater for heating The scene where the camera is located is captured by visible light to obtain and output the corresponding visible light image; the infrared measuring instrument includes an infrared emitting unit, an infrared receiving unit, and a microcontroller, and the infrared emitting unit is located on the visible light camera for vertical downward The infrared signal is transmitted. The infrared receiving unit is located beside the infrared transmitting unit and is used to receive the reflected infrared signal. The microcontroller is connected to the infrared transmitting unit and the infrared receiving unit, respectively. Transmission time of the transmitting unit and the infrared receiving The receiving time of the unit determines the real-time vertical position of the visible light camera; triggers a start-up device connected to the infrared measuring instrument for issuing a start-up control signal when the real-time vertical position deviates from a preset vertical position and exceeds the limit, and is also used for When the real-time vertical position deviates from the preset vertical position and does not exceed the limit, a shutdown control signal is issued; a pixel value matching device is connected to the trigger activation device and the visible light camera, respectively, for receiving the activation control signal Performing background extraction on the visible light image to obtain a real-time background image, and matching the real-time background image with a preset background image to send a matching failure signal when the degree of matching is less than a preset percentage threshold, and is also used for When the matching degree is greater than or equal to a preset percentage threshold, a matching success signal is issued; an area processing device is connected to the visible light camera and is configured to receive the visible light image and perform contour extraction on each target in the visible light image to obtain Each distribution area of each target in the visible light image, The area processing device is further configured to block the visible light image to obtain individual sub-images; in the area processing device, to the visible light image, sub-images obtained by uniformly dividing each distribution area The size of is smaller than the size of the sub-image obtained by uniformly segmenting the undistributed area, and the uniform segmentation of each distribution area includes: the larger the area of the distribution area, the larger the size of the sub-image obtained by segmentation; the target An image extraction device, which is connected to the area processing device and is used to receive each sub-image of the visible light image and detect the dynamic range of each sub-image. For each sub-image, adjust the corresponding sub-image based on the width of its dynamic range. The threshold size of the image used to strip the background is also used to perform the following processing for each sub-image: performing background stripping on the sub-image using the adjusted threshold to obtain the corresponding target area; the target image extraction device also Used to integrate each target area corresponding to each sub-image to obtain a target map And outputting the target image; in the target image extraction device, adjusting the threshold size for peeling the background of the corresponding sub-image based on the width of its dynamic range includes: the narrower the width of its dynamic range, the adjusted the corresponding sub-image's The smaller the threshold for peeling the background; the Gaussian filtering device is connected to the target image extraction device and is used to receive the target image and perform a corresponding number of times proportional to the target image noise amplitude on the target image Gaussian filtering processing to obtain a corresponding adaptively filtered image; an image discrimination device connected to the Gaussian filtering device for receiving the adaptively filtered image, and performing uniform blocking on the adaptively filtered image to obtain each Segmented sub-images, performing detection processing for the presence of edge lines on each segmented sub-image, taking the segmented sub-images with edge lines as reference sub-images, and the segmented sub-images without edge lines as non-references Sub-images, taking multiple sub-images in each reference sub-image field as multiple secondary sub-images, and outputting the Each secondary sub-image in the image to be filtered, and each reference sub-image in the adaptively filtered image to be output; a hierarchical processing device connected to the image discrimination device, and configured to receive each of the adaptively filtered images Reference sub-image and each secondary sub-image, performing image sharpening processing of first-level sharpening intensity on each reference sub-image to obtain each reference sharpened sub-image, and performing second-level sharpening on each secondary sub-image Dynamic image sharpening processing to obtain each sub-sharpened sub-image, and is also used to non-reference sub-images of each reference sharpened sub-image, each sub-sharpened sub-image, and each non-sub-sharpened sub-image Combining to obtain a combined image; an object recognition device connected to the classification processing device for receiving the combined image and identifying a corresponding liquefied bottle from the combined image based on a preset liquefaction bottle gray threshold Image, performing a background analysis on the liquefaction bottle image to obtain a background sub-image of a size corresponding to the liquefaction bottle image, Subtract the background sub-image from the pixels to obtain the corresponding foreground sub-image, calculate the number of pixels with non-zero pixel values in the foreground sub-image, and when the number of non-zero pixels is greater than or equal to the preset pixel number threshold, A signal indicating the presence of a liquefied bottle is issued; otherwise, a signal indicating the absence of a liquefied bottle is issued; wherein the intelligent humidifier is also connected to the object recognition device for increasing the strength of the humidification operation when the signal of the presence of the liquefied bottle is received .
更具体地，在所述智能化加湿式取暖器中：在所述分级处理设备中，执行一级锐化力度的图像锐化处理的锐化力度大于执行二级锐化力度的图像锐化处理。More specifically, in the intelligent humidification heater: in the hierarchical processing device, the sharpening force of performing the image sharpening process of the first-level sharpening force is greater than the image sharpening process of performing the second-level sharpening force. .
更具体地，在所述智能化加湿式取暖器中：所述智能加湿器还与所述对象识别设备连接，用于在接收到所述不存在液化瓶信号时，降低其加湿 操作的力度。More specifically, in the intelligent humidifier heater: the intelligent humidifier is further connected to the object recognition device for reducing the intensity of the humidification operation when the signal of the absence of the liquefaction bottle is received.
更具体地，在所述智能化加湿式取暖器中：所述智能加湿器还用于在所述所在位置湿度小于所述预设湿度阈值时，启动加湿操作。More specifically, in the intelligent humidifier heater: the intelligent humidifier is further configured to start a humidification operation when the humidity at the location is less than the preset humidity threshold.
更具体地，在所述智能化加湿式取暖器中：所述区域处理设备和所述目标图像提取设备采用不同型号的FPGA芯片来实现。More specifically, in the intelligent humidification heater: the area processing device and the target image extraction device are implemented by using different types of FPGA chips.
更具体地，在所述智能化加湿式取暖器中：所述可见光摄像头还包括自调节单元，与所述像素值匹配设备连接，用于在接收到所述匹配失败信号时，对所述可见光摄像头进行垂直位置的自调节，以将所述可见光摄像头的实时垂直位置还原到所述预设垂直位置。More specifically, in the intelligent humidifier heater: the visible light camera further includes a self-adjusting unit, which is connected to the pixel value matching device and is configured to detect the visible light when the matching failure signal is received. The camera performs self-adjustment of the vertical position to restore the real-time vertical position of the visible light camera to the preset vertical position.
更具体地，在所述智能化加湿式取暖器中：所述像素值匹配设备还用于在接收到所述关闭控制信号时，停止对所述可见光图像进行的背景提取，并发出匹配成功信号。More specifically, in the intelligent humidification heater: the pixel value matching device is further configured to stop the background extraction of the visible light image when the shutdown control signal is received, and send a matching success signal .
更具体地，在所述智能化加湿式取暖器中：所述自调节单元还用于在接收到所述匹配成功信号时，停止对所述可见光摄像头进行的垂直位置的自调节。More specifically, in the intelligent humidifying heater: the self-adjusting unit is further configured to stop self-adjusting the vertical position of the visible light camera when receiving the matching success signal.
具体实施方式detailed description
下面将对本发明的智能化加湿式取暖器的实施方案进行详细说明。The embodiment of the intelligent humidifier heater of the present invention will be described in detail below.
取暖器的安全性能至关重要，在买取暖器时应挑选那些经过国家强制认证后(即具有3C标志)的产品，浴室防水型的暖风机还应有防水认证标志，不要只图便宜。平时我们所说的3C认证即“CCC认证”，是FC美国认证标志、CE欧洲认证标志和中国长城认证的合称，是中华人民共和国强制规定各类产品进出口、出厂、销售和使用必须取得的认证。The safety performance of the heater is very important. When buying a heater, you should choose those products that have been compulsorily certified by the state (that is, with the 3C mark). Bathroom waterproof heaters should also have a waterproof certification mark. Don't just cheap. The 3C certification that we usually refer to is the "CCC certification", which is the collective name of the FC American certification mark, CE European certification mark and China Great Wall certification. Certification.
为了克服上述不足，本发明搭建了一种智能化加湿式取暖器，能够有效解决相应的技术问题。In order to overcome the above-mentioned shortcomings, the present invention sets up an intelligent humidifying heater, which can effectively solve the corresponding technical problems.
根据本发明实施方案示出的智能化加湿式取暖器包括：The intelligent humidifier heater shown according to the embodiment of the present invention includes:
湿度检测设备，设置在取暖器的侧壁上，用于对所述取暖器所在位置的湿度进行检测，以获得并输出所在位置湿度；A humidity detection device, which is arranged on a side wall of a heater and is configured to detect the humidity of the location where the heater is located to obtain and output the humidity of the location;
智能加湿器，设置在取暖器的顶部的上方，与所述湿度检测设备连接，用于接收所述所在位置湿度，并在所述所在位置湿度大于等于预设湿度阈 值时，停止加湿操作；An intelligent humidifier is disposed above the top of the heater and is connected to the humidity detection device to receive the humidity at the location and stop the humidification operation when the humidity at the location is greater than or equal to a preset humidity threshold;
可见光摄像头，设置在取暖器的侧壁上，用于对取暖器所在场景进行可见光拍摄，以获得并输出对应的可见光图像；The visible light camera is arranged on the side wall of the heater, and is used for shooting visible light of the scene where the heater is located to obtain and output a corresponding visible light image;
红外线测量仪，包括红外线发射单元、红外线接收单元以及微控制器，所述红外线发射单元位于所述可见光摄像头上，用于垂直向下发射红外线信号，红外线接收单元位于所述红外线发射单元旁，用于接收反射回来的红外线信号，所述微控制器分别与所述红外线发射单元和所述红外线接收单元连接，用于基于所述红外线发射单元的发射时间和所述红外线接收单元的接收时间确定所述可见光摄像头的实时垂直位置；The infrared measuring instrument includes an infrared emitting unit, an infrared receiving unit and a microcontroller. The infrared emitting unit is located on the visible light camera and is used to vertically emit infrared signals. The infrared receiving unit is located beside the infrared emitting unit. In order to receive the reflected infrared signal, the microcontroller is connected to the infrared transmitting unit and the infrared receiving unit, respectively, and is configured to determine an infrared signal based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit. The real-time vertical position of the visible light camera;
触发启动设备，与所述红外测量仪连接，用于在所述实时垂直位置偏离预设垂直位置超限时，发出启动控制信号，还用于在所述实时垂直位置偏离预设垂直位置未超限时，发出关闭控制信号；The triggering device is connected to the infrared measuring instrument, and is used for sending a startup control signal when the real-time vertical position deviates from the preset vertical position and exceeds the limit, and is also used when the real-time vertical position deviates from the preset vertical position and does not exceed the limit. , Sends a shutdown control signal;
像素值匹配设备，分别与所述触发启动设备和所述可见光摄像头连接，用于在接收到所述启动控制信号时，对所述可见光图像进行背景提取，以获得实时背景图像，并将所述实时背景图像与预设背景图像进行匹配，以在匹配度小于预设百分比阈值时，发出匹配失败信号，还用于在匹配度大于等于预设百分比阈值时，发出匹配成功信号；The pixel value matching device is respectively connected to the triggering start device and the visible light camera, and is configured to perform background extraction on the visible light image when the start control signal is received to obtain a real-time background image, and The real-time background image is matched with a preset background image to send a matching failure signal when the matching degree is less than a preset percentage threshold, and is also used to send a matching success signal when the matching degree is greater than or equal to a preset percentage threshold;
区域处理设备，与所述可见光摄像头连接，用于接收所述可见光图像，对所述可见光图像中的各个目标进行轮廓提取，以获得各个目标在所述可见光图像中的各个分布区域，所述区域处理设备还用于对所述可见光图像进行分块，以获得各个子图像；在所述区域处理设备中，针对所述可见光图像，对每一个分布区域进行均匀式分割而获得的子图像的尺寸小于对未分布区域进行均匀式分割而获得的子图像的尺寸，以及对每一个分布区域进行均匀式分割包括：分布区域的面积越大，分割而获得的子图像的尺寸越大；An area processing device connected to the visible light camera and configured to receive the visible light image and perform contour extraction on each target in the visible light image to obtain each distribution area of each target in the visible light image, the area The processing device is further configured to block the visible light image to obtain each sub-image; in the area processing device, for the visible light image, the size of the sub-image obtained by uniformly dividing each distribution area Smaller than the size of the sub-image obtained by uniformly segmenting the undistributed area, and uniformly dividing each distribution area includes: the larger the area of the distribution area, the larger the size of the sub-image obtained by segmentation;
目标图像提取设备，与所述区域处理设备连接，用于接收所述可见光图像的各个子图像，并检测每一个子图像的动态范围，针对每一个子图像，基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小，还用于针对每一个子图像执行以下处理：采用调整后的阈值对所述子图像进行背景剥离，以获得对应的目标区域；所述目标图像提取设备还用于将 各个子图像对应的各个目标区域进行整合以获得目标图像，并输出所述目标图像；在目标图像提取设备中，基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小包括：其动态范围的宽度越窄，调整的对应子图像的用于剥离背景的阈值越小；The target image extraction device is connected to the area processing device, and is configured to receive each sub-image of the visible light image and detect the dynamic range of each sub-image. For each sub-image, adjust the correspondence based on the width of its dynamic range. The threshold size of the sub-image used to strip the background is also used to perform the following processing for each sub-image: performing background stripping on the sub-image using the adjusted threshold to obtain the corresponding target area; the target image extraction device It is also used to integrate each target area corresponding to each sub-image to obtain a target image, and output the target image; in the target image extraction device, adjust the corresponding sub-image for stripping the background based on the width of its dynamic range. The threshold size includes: the narrower the width of its dynamic range, the smaller the threshold for peeling the background of the adjusted corresponding sub-image;
高斯滤波设备，与所述目标图像提取设备连接，用于接收所述目标图像，并对所述目标图像执行与所述目标图像噪声幅值成正比的相应次数的高斯滤波处理，以获得对应的自适应滤波图像；A Gaussian filtering device connected to the target image extraction device and configured to receive the target image and perform a corresponding number of Gaussian filtering processes on the target image that are proportional to the noise amplitude of the target image to obtain a corresponding Adaptive filtering image;
图像区分设备，与所述高斯滤波设备连接，用于接收所述自适应滤波图像，对所述自适应滤波图像执行均匀分块以获得各个分块子图像，对每一个分块子图像执行是否存在边缘线的检测处理，以将存在边缘线的分块子图像作为参考子图像，以及将不存在边缘线的分块子图像作为非参考子图像，将每一个参考子图像领域的多个子图像作为多个次级子图像，输出所述自适应滤波图像中的各个次级子图像，以及输出所述自适应滤波图像中的各个参考子图像；An image discriminating device, connected to the Gaussian filtering device, for receiving the adaptive filtered image, performing uniform blocking on the adaptive filtered image to obtain each sub-block sub-image, and whether to perform each sub-block sub-image Detection processing for the presence of edge lines, using the sub-images with edge lines as reference sub-images, and the sub-images with no edge lines as non-reference sub-images, and multiple sub-images in each reference sub-image area Outputting, as multiple secondary sub-images, each secondary sub-image in the adaptively filtered image, and outputting each reference sub-image in the adaptively-filtered image;
分级处理设备，与所述图像区分设备连接，用于接收所述自适应滤波图像中的各个参考子图像和各个次级子图像，对所述各个参考子图像执行一级锐化力度的图像锐化处理以获得各个参考锐化子图像，对所述各个次级子图像执行二级锐化力度的图像锐化处理以获得各个次级锐化子图像，还用于将所述各个参考锐化子图像、各个次级锐化子图像以及各个非次级锐化子图像的非参考子图像进行组合以获得已组合图像；A hierarchical processing device connected to the image discrimination device and configured to receive each reference sub-image and each secondary sub-image in the adaptively filtered image, and perform image sharpening of the first-level sharpening force on each reference sub-image Sharpening processing to obtain each reference sharpening sub-image, performing image sharpening processing of secondary sharpening intensity on each secondary sub-image to obtain each secondary sharpening sub-image, and further used to sharpen each reference Combine the sub-images, each sub-sharpened sub-image, and non-reference sub-images of each non-sub-sharpened sub-image to obtain a combined image;
对象识别设备，与所述分级处理设备连接，用于接收所述已组合图像，基于预设液化瓶灰度阈值从所述已组合图像中识别出对应的液化瓶子图像，对所述液化瓶子图像进行背景分析以获得与所述液化瓶子图像对应大小的背景子图像，对所述液化瓶子图像逐像素减去所述背景子图像以获得对应的前景子图像，计算所述前景子图像中像素值非零的像素的数量，当非零的像素的数量大于等于所述预设像素数量阈值时，发出存在液化瓶信号，否则，发出不存在液化瓶信号；An object recognition device connected to the classification processing device and configured to receive the combined image, identify a corresponding liquefied bottle image from the combined image based on a preset liquefaction bottle gray threshold, and perform a liquefaction bottle image on the liquefied bottle image. Perform a background analysis to obtain a background sub-image corresponding to the size of the liquefaction bottle image, subtract the background sub-image pixel by pixel from the liquefaction bottle image to obtain a corresponding foreground sub-image, and calculate pixel values in the foreground sub-image The number of non-zero pixels. When the number of non-zero pixels is greater than or equal to the preset pixel number threshold, a signal of the presence of a liquefied bottle is issued; otherwise, a signal of the absence of a liquefied bottle is issued;
其中，所述智能加湿器还与所述对象识别设备连接，用于在接收到所述存在液化瓶信号时，提高其加湿操作的力度。The smart humidifier is also connected to the object recognition device, and is used to increase the intensity of the humidification operation when the signal of the presence of the liquefied bottle is received.
接着，继续对本发明的智能化加湿式取暖器的具体结构进行进一步的 说明。Next, the specific structure of the intelligent humidification heater of the present invention will be further described.
在所述智能化加湿式取暖器中：在所述分级处理设备中，执行一级锐化力度的图像锐化处理的锐化力度大于执行二级锐化力度的图像锐化处理。In the intelligent humidification heater: in the grading processing device, the sharpening strength of the image sharpening processing that performs the first-level sharpening strength is greater than the image sharpening processing that performs the second-level sharpening strength.
在所述智能化加湿式取暖器中：所述智能加湿器还与所述对象识别设备连接，用于在接收到所述不存在液化瓶信号时，降低其加湿操作的力度。In the intelligent humidifier heater, the intelligent humidifier is further connected to the object recognition device, and is configured to reduce the intensity of the humidification operation when the signal of the absence of the liquefaction bottle is received.
在所述智能化加湿式取暖器中：所述智能加湿器还用于在所述所在位置湿度小于所述预设湿度阈值时，启动加湿操作。In the intelligent humidifier heater: the intelligent humidifier is further configured to start a humidification operation when the humidity at the location is less than the preset humidity threshold.
在所述智能化加湿式取暖器中：所述区域处理设备和所述目标图像提取设备采用不同型号的FPGA芯片来实现。In the intelligent humidifier, the area processing device and the target image extraction device are implemented by using different types of FPGA chips.
在所述智能化加湿式取暖器中：所述可见光摄像头还包括自调节单元，与所述像素值匹配设备连接，用于在接收到所述匹配失败信号时，对所述可见光摄像头进行垂直位置的自调节，以将所述可见光摄像头的实时垂直位置还原到所述预设垂直位置。In the intelligent humidifying heater, the visible light camera further includes a self-adjusting unit, which is connected to the pixel value matching device and is configured to vertically position the visible light camera when the matching failure signal is received. Self-adjusting to restore the real-time vertical position of the visible light camera to the preset vertical position.
在所述智能化加湿式取暖器中：所述像素值匹配设备还用于在接收到所述关闭控制信号时，停止对所述可见光图像进行的背景提取，并发出匹配成功信号。In the intelligent humidification heater, the pixel value matching device is further configured to stop the background extraction of the visible light image when receiving the shutdown control signal, and send a matching success signal.
以及在所述智能化加湿式取暖器中：所述自调节单元还用于在接收到所述匹配成功信号时，停止对所述可见光摄像头进行的垂直位置的自调节。And in the intelligent humidifying heater, the self-adjusting unit is further configured to stop self-adjusting the vertical position of the visible light camera when the matching success signal is received.
另外，在所述智能化加湿式取暖器中，还包括：光纤传输接口，与所述对象识别设备连接，用于转发所述存在液化瓶信号或所述不存在液化瓶信号。In addition, the intelligent humidifier heater further includes an optical fiber transmission interface connected to the object recognition device and used to forward the signal of the presence of a liquefied bottle or the signal of the absence of a liquefied bottle.
光纤是光导纤维的简写，是一种由玻璃或塑料制成的纤维，可作为光传导工具。传输原理是光的全反射。微细的光纤封装在塑料护套中，使得它能够弯曲而不至于断裂。通常，光纤的一端的发射装置使用发光二极管(light emitting diode，LED)或一束激光将光脉冲传送至光纤，光纤的另一端的接收装置使用光敏元件检测脉冲。Optical fiber is short for optical fiber. It is a fiber made of glass or plastic, which can be used as a light transmission tool. The transmission principle is total reflection of light. The tiny optical fiber is encapsulated in a plastic sheath, which allows it to bend without breaking. Generally, a transmitting device at one end of an optical fiber uses a light emitting diode (LED) or a laser beam to transmit a light pulse to the optical fiber, and a receiving device at the other end of the optical fiber uses a photosensitive element to detect the pulse.
在多模光纤中，芯的直径是50μm和62.5μm两种，大致与人的头发的粗细相当。而单模光纤芯的直径为8μm～10μm，常用的是9/125μm。 芯外面包围着一层折射率比芯低的玻璃封套，俗称包层，包层使得光线保持在芯内。再外面的是一层薄的塑料外套，即涂覆层，用来保护包层。光纤通常被扎成束，外面有外壳保护。纤芯通常是由石英玻璃制成的横截面积很小的双层同心圆柱体，他质地脆，易断裂，因此需要外加一保护层。In multimode fiber, the core diameter is 50 μm and 62.5 μm, which is roughly equivalent to the thickness of a human hair. The diameter of a single-mode fiber core is 8 μm to 10 μm, and 9/125 μm is commonly used. A glass envelope with a lower refractive index than the core is surrounded on the outside of the core, commonly known as a cladding. The cladding keeps the light inside the core. Outside is a thin plastic jacket, or coating, to protect the cladding. Optical fibers are usually bundled and protected by a housing. The core is usually a double-layer concentric cylinder made of quartz glass with a small cross-sectional area. It is brittle in texture and easy to break, so it needs a protective layer.
采用本发明的智能化加湿式取暖器，针对现有技术中取暖器功能不完善的技术问题，通过对取暖器周围进行目标识别，以在确定存在液化瓶易爆品时，提高加湿操作的力度，减少***的概率，有效维护现场安全，其中，对图像的各个位置进行区别式处理，并将区别式处理后的结果进行组合，以重建比原图像更清晰的图像；在对图像进行目标轮廓的粗略检测的基础上，获取对图像的区域划分策略，在此基础上，对剥离背景后的目标图像进行高精度获取；采用背景匹配的方式，确定所述可见光摄像头的输出图像是否因为所述可见光摄像头的失位而产生位置的改变，尤为重要的是，还在可见光摄像头中内设自调节单元，以根据位置的改变情况进行位置的自行恢复，从而解决了上述技术问题。By adopting the intelligent humidifier heater of the present invention, in view of the technical problem of incomplete heater functions in the prior art, target recognition is performed around the heater to improve the strength of the humidification operation when it is determined that there is an explosive product of a liquefied bottle , Reduce the probability of explosion, and effectively maintain the safety of the scene. Among them, the differential processing is performed on each position of the image, and the results of the differential processing are combined to reconstruct a clearer image than the original image; the target contour is performed on the image Based on the rough detection of the image, a region division strategy for the image is obtained, and on this basis, the target image after the background is stripped is obtained with high accuracy; the background matching method is used to determine whether the output image of the visible light camera is due to the The position change of the visible light camera causes a change in position. It is particularly important that a self-adjusting unit is also built in the visible light camera to automatically recover the position according to the change of the position, thereby solving the above technical problems.
可以理解的是，虽然本发明已以较佳实施例披露如上，然而上述实施例并非用以限定本发明。对于任何熟悉本领域的技术人员而言，在不脱离本发明技术方案范围情况下，都可利用上述揭示的技术内容对本发明技术方案做出许多可能的变动和修饰，或修改为等同变化的等效实施例。因此，凡是未脱离本发明技术方案的内容，依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化及修饰，均仍属于本发明技术方案保护的范围内。It can be understood that although the present invention has been disclosed as above with preferred embodiments, the above embodiments are not intended to limit the present invention. For any person skilled in the art, without departing from the scope of the technical solution of the present invention, many possible changes and modifications to the technical solution of the present invention can be made or modified to equivalent changes without departing from the technical content disclosed above.实施 例。 Effective embodiment. Therefore, without departing from the content of the technical solution of the present invention, any simple modifications, equivalent changes, and modifications made to the above embodiments according to the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims (8)

  1. 一种智能化加湿式取暖器，所述取暖器包括：An intelligent humidifying heater includes:
    湿度检测设备，设置在取暖器的侧壁上，用于对所述取暖器所在位置的湿度进行检测，以获得并输出所在位置湿度；A humidity detection device, which is arranged on a side wall of a heater and is configured to detect the humidity of the location where the heater is located to obtain and output the humidity of the location;
    智能加湿器，设置在取暖器的顶部的上方，与所述湿度检测设备连接，用于接收所述所在位置湿度，并在所述所在位置湿度大于等于预设湿度阈值时，停止加湿操作；An intelligent humidifier is disposed above the top of the heater and is connected to the humidity detection device to receive the humidity at the location and stop the humidification operation when the humidity at the location is greater than or equal to a preset humidity threshold;
    可见光摄像头，设置在取暖器的侧壁上，用于对取暖器所在场景进行可见光拍摄，以获得并输出对应的可见光图像；The visible light camera is arranged on the side wall of the heater, and is used for shooting visible light of the scene where the heater is located to obtain and output a corresponding visible light image;
    红外线测量仪，包括红外线发射单元、红外线接收单元以及微控制器，所述红外线发射单元位于所述可见光摄像头上，用于垂直向下发射红外线信号，红外线接收单元位于所述红外线发射单元旁，用于接收反射回来的红外线信号，所述微控制器分别与所述红外线发射单元和所述红外线接收单元连接，用于基于所述红外线发射单元的发射时间和所述红外线接收单元的接收时间确定所述可见光摄像头的实时垂直位置；The infrared measuring instrument includes an infrared emitting unit, an infrared receiving unit and a microcontroller. The infrared emitting unit is located on the visible light camera and is used to vertically emit infrared signals. The infrared receiving unit is located beside the infrared emitting unit. In order to receive the reflected infrared signal, the microcontroller is connected to the infrared transmitting unit and the infrared receiving unit, respectively, and is configured to determine an infrared signal based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit. The real-time vertical position of the visible light camera;
    触发启动设备，与所述红外测量仪连接，用于在所述实时垂直位置偏离预设垂直位置超限时，发出启动控制信号，还用于在所述实时垂直位置偏离预设垂直位置未超限时，发出关闭控制信号；The triggering device is connected to the infrared measuring instrument, and is used for sending a startup control signal when the real-time vertical position deviates from the preset vertical position and exceeds the limit, and is also used when the real-time vertical position deviates from the preset vertical position and does not exceed the limit , Sends a shutdown control signal;
    像素值匹配设备，分别与所述触发启动设备和所述可见光摄像头连接，用于在接收到所述启动控制信号时，对所述可见光图像进行背景提取，以获得实时背景图像，并将所述实时背景图像与预设背景图像进行匹配，以在匹配度小于预设百分比阈值时，发出匹配失败信号，还用于在匹配度大于等于预设百分比阈值时，发出匹配成功信号；The pixel value matching device is respectively connected to the triggering start device and the visible light camera, and is configured to perform background extraction on the visible light image when the start control signal is received to obtain a real-time background image, and The real-time background image is matched with a preset background image to send a matching failure signal when the matching degree is less than a preset percentage threshold, and is also used to send a matching success signal when the matching degree is greater than or equal to a preset percentage threshold;
    区域处理设备，与所述可见光摄像头连接，用于接收所述可见光图像，对所述可见光图像中的各个目标进行轮廓提取，以获得各个目标在所述可见光图像中的各个分布区域，所述区域处理设备还用于对所述可见光图像进行分块，以获得各个子图像；在所述区域处理设备中，针对所述可见光图像，对每一个分布区域进行均匀式分割而获得的子图像的尺寸小于对未分布区域进行均匀式分割而获得的子图像的尺寸，以及对每一个分布区域 进行均匀式分割包括：分布区域的面积越大，分割而获得的子图像的尺寸越大；An area processing device connected to the visible light camera and configured to receive the visible light image and perform contour extraction on each target in the visible light image to obtain each distribution area of each target in the visible light image, the area The processing device is further configured to block the visible light image to obtain each sub-image; in the area processing device, for the visible light image, the size of the sub-image obtained by uniformly dividing each distribution area Smaller than the size of the sub-image obtained by uniformly segmenting the undistributed area, and uniformly dividing each distribution area includes: the larger the area of the distribution area, the larger the size of the sub-image obtained by segmentation;
    目标图像提取设备，与所述区域处理设备连接，用于接收所述可见光图像的各个子图像，并检测每一个子图像的动态范围，针对每一个子图像，基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小，还用于针对每一个子图像执行以下处理：采用调整后的阈值对所述子图像进行背景剥离，以获得对应的目标区域；所述目标图像提取设备还用于将各个子图像对应的各个目标区域进行整合以获得目标图像，并输出所述目标图像；在目标图像提取设备中，基于其动态范围的宽度大小调整对应子图像的用于剥离背景的阈值大小包括：其动态范围的宽度越窄，调整的对应子图像的用于剥离背景的阈值越小；The target image extraction device is connected to the area processing device, and is configured to receive each sub-image of the visible light image and detect the dynamic range of each sub-image. For each sub-image, adjust the correspondence based on the width of its dynamic range. The threshold size of the sub-image used to strip the background is also used to perform the following processing for each sub-image: performing background stripping on the sub-image using the adjusted threshold to obtain the corresponding target area; the target image extraction device It is also used to integrate each target area corresponding to each sub-image to obtain a target image, and output the target image; in the target image extraction device, adjust the corresponding sub-image for stripping the background based on the width of its dynamic range. The threshold size includes: the narrower the width of its dynamic range, the smaller the threshold for peeling the background of the adjusted corresponding sub-image;
    高斯滤波设备，与所述目标图像提取设备连接，用于接收所述目标图像，并对所述目标图像执行与所述目标图像噪声幅值成正比的相应次数的高斯滤波处理，以获得对应的自适应滤波图像；A Gaussian filtering device connected to the target image extraction device and configured to receive the target image and perform a corresponding number of Gaussian filtering processes on the target image that are proportional to the noise amplitude of the target image to obtain a corresponding Adaptive filtering image;
    图像区分设备，与所述高斯滤波设备连接，用于接收所述自适应滤波图像，对所述自适应滤波图像执行均匀分块以获得各个分块子图像，对每一个分块子图像执行是否存在边缘线的检测处理，以将存在边缘线的分块子图像作为参考子图像，以及将不存在边缘线的分块子图像作为非参考子图像，将每一个参考子图像领域的多个子图像作为多个次级子图像，输出所述自适应滤波图像中的各个次级子图像，以及输出所述自适应滤波图像中的各个参考子图像；An image discriminating device, connected to the Gaussian filtering device, for receiving the adaptive filtered image, performing uniform blocking on the adaptive filtered image to obtain each sub-block sub-image, and whether to perform each sub-block sub-image Detection processing for the presence of edge lines, using the sub-images with edge lines as reference sub-images, and the sub-images with no edge lines as non-reference sub-images, and multiple sub-images in each reference sub-image area Outputting, as multiple secondary sub-images, each secondary sub-image in the adaptively filtered image, and outputting each reference sub-image in the adaptively-filtered image;
    分级处理设备，与所述图像区分设备连接，用于接收所述自适应滤波图像中的各个参考子图像和各个次级子图像，对所述各个参考子图像执行一级锐化力度的图像锐化处理以获得各个参考锐化子图像，对所述各个次级子图像执行二级锐化力度的图像锐化处理以获得各个次级锐化子图像，还用于将所述各个参考锐化子图像、各个次级锐化子图像以及各个非次级锐化子图像的非参考子图像进行组合以获得已组合图像；A hierarchical processing device connected to the image discrimination device and configured to receive each reference sub-image and each secondary sub-image in the adaptively filtered image, and perform image sharpening of the first-level sharpening force on each reference sub-image Sharpening processing to obtain each reference sharpening sub-image, performing image sharpening processing of secondary sharpening intensity on each secondary sub-image to obtain each secondary sharpening sub-image, and further used to sharpen each reference Combine the sub-images, each sub-sharpened sub-image, and non-reference sub-images of each non-sub-sharpened sub-image to obtain a combined image;
    对象识别设备，与所述分级处理设备连接，用于接收所述已组合图像，基于预设液化瓶灰度阈值从所述已组合图像中识别出对应的液化瓶子图像，对所述液化瓶子图像进行背景分析以获得与所述液化瓶子图像对应大 小的背景子图像，对所述液化瓶子图像逐像素减去所述背景子图像以获得对应的前景子图像，计算所述前景子图像中像素值非零的像素的数量，当非零的像素的数量大于等于所述预设像素数量阈值时，发出存在液化瓶信号，否则，发出不存在液化瓶信号；An object recognition device connected to the classification processing device and configured to receive the combined image, identify a corresponding liquefied bottle image from the combined image based on a preset liquefaction bottle gray threshold, and perform a liquefaction bottle image on the liquefied bottle image. Perform a background analysis to obtain a background sub-image corresponding to the size of the liquefaction bottle image, subtract the background sub-image pixel by pixel from the liquefaction bottle image to obtain a corresponding foreground sub-image, and calculate pixel values in the foreground sub-image The number of non-zero pixels. When the number of non-zero pixels is greater than or equal to the preset pixel number threshold, a signal of the presence of a liquefied bottle is issued; otherwise, a signal of the absence of a liquefied bottle is issued;
    其中，所述智能加湿器还与所述对象识别设备连接，用于在接收到所述存在液化瓶信号时，提高其加湿操作的力度。The smart humidifier is also connected to the object recognition device, and is used to increase the intensity of the humidification operation when the signal of the presence of the liquefied bottle is received.
  2. 如权利要求1所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 1, wherein:
    在所述分级处理设备中，执行一级锐化力度的图像锐化处理的锐化力度大于执行二级锐化力度的图像锐化处理。In the grading processing device, the sharpening power of performing the image sharpening processing of the first-level sharpening power is greater than the image sharpening processing of performing the second-level sharpening power.
  3. 如权利要求3所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 3, wherein:
    所述智能加湿器还与所述对象识别设备连接，用于在接收到所述不存在液化瓶信号时，降低其加湿操作的力度。The intelligent humidifier is also connected to the object recognition device, and is configured to reduce the intensity of the humidification operation when the signal of the absence of the liquefaction bottle is received.
  4. 如权利要求4所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 4, characterized in that:
    所述智能加湿器还用于在所述所在位置湿度小于所述预设湿度阈值时，启动加湿操作。The intelligent humidifier is further configured to start a humidification operation when the humidity at the location is less than the preset humidity threshold.
  5. 如权利要求5所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 5, characterized in that:
    所述区域处理设备和所述目标图像提取设备采用不同型号的FPGA芯片来实现。The area processing device and the target image extraction device are implemented by using different types of FPGA chips.
  6. 如权利要求6所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 6, characterized in that:
    所述可见光摄像头还包括自调节单元，与所述像素值匹配设备连接，用于在接收到所述匹配失败信号时，对所述可见光摄像头进行垂直位置的自调节，以将所述可见光摄像头的实时垂直位置还原到所述预设垂直位置。The visible light camera further includes a self-adjusting unit, which is connected to the pixel value matching device and is configured to self-adjust the vertical position of the visible light camera when the matching failure signal is received, so as to adjust the visible light camera's The real-time vertical position is restored to the preset vertical position.
  7. 如权利要求7所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 7, characterized in that:
    所述像素值匹配设备还用于在接收到所述关闭控制信号时，停止对所述可见光图像进行的背景提取，并发出匹配成功信号。The pixel value matching device is further configured to stop the background extraction of the visible light image when the shutdown control signal is received, and send a matching success signal.
  8. 如权利要求8所述的智能化加湿式取暖器，其特征在于：The intelligent humidifier heater according to claim 8, characterized in that:
    所述自调节单元还用于在接收到所述匹配成功信号时，停止对所述可见光摄像头进行的垂直位置的自调节。The self-adjusting unit is further configured to stop self-adjusting the vertical position of the visible light camera when the matching success signal is received.
PCT/CN2019/082524 2018-06-19 2019-04-12 Smart humidification-type heater WO2019242386A1 (en)

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Publication number Priority date Publication date Assignee Title
CN114738919B (en) * 2022-03-14 2024-04-26 青岛海尔空调器有限总公司 Method and device for controlling air conditioner and air conditioner

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101999138A (en) * 2008-04-11 2011-03-30 汤姆森许可贸易公司 System and method for enhancing the visibility of an object in a digital picture
CN103024281A (en) * 2013-01-11 2013-04-03 重庆大学 Infrared and visible video integration system
CN204006295U (en) * 2014-08-09 2014-12-10 福州外语外贸学院 A kind of warmer with air humidity control function
CN104883502A (en) * 2015-05-19 2015-09-02 广东欧珀移动通信有限公司 Focusing method and apparatus for mobile terminal
CN106226777A (en) * 2016-08-17 2016-12-14 乐视控股（北京）有限公司 Infrared acquisition localization method and system
CN106599028A (en) * 2016-11-02 2017-04-26 华南理工大学 Book content searching and matching method based on video image processing
CN107135421A (en) * 2017-06-13 2017-09-05 北京市博汇科技股份有限公司 Video features detection method and device
CN207180000U (en) * 2017-09-01 2018-04-03 山东泰安亿美达能源科技有限公司 A kind of heat-storage warmer

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002081667A (en) * 2000-09-07 2002-03-22 Noritz Corp Bathroom heater
CN106020081A (en) * 2016-06-23 2016-10-12 安庆市银瑞商贸有限公司 Inflammable safety monitoring system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101999138A (en) * 2008-04-11 2011-03-30 汤姆森许可贸易公司 System and method for enhancing the visibility of an object in a digital picture
CN103024281A (en) * 2013-01-11 2013-04-03 重庆大学 Infrared and visible video integration system
CN204006295U (en) * 2014-08-09 2014-12-10 福州外语外贸学院 A kind of warmer with air humidity control function
CN104883502A (en) * 2015-05-19 2015-09-02 广东欧珀移动通信有限公司 Focusing method and apparatus for mobile terminal
CN106226777A (en) * 2016-08-17 2016-12-14 乐视控股（北京）有限公司 Infrared acquisition localization method and system
CN106599028A (en) * 2016-11-02 2017-04-26 华南理工大学 Book content searching and matching method based on video image processing
CN107135421A (en) * 2017-06-13 2017-09-05 北京市博汇科技股份有限公司 Video features detection method and device
CN207180000U (en) * 2017-09-01 2018-04-03 山东泰安亿美达能源科技有限公司 A kind of heat-storage warmer

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