WO2019233185A1 - Electric oil heater - Google Patents

Electric oil heater Download PDF

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Publication number
WO2019233185A1
WO2019233185A1 PCT/CN2019/082531 CN2019082531W WO2019233185A1 WO 2019233185 A1 WO2019233185 A1 WO 2019233185A1 CN 2019082531 W CN2019082531 W CN 2019082531W WO 2019233185 A1 WO2019233185 A1 WO 2019233185A1
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WO
WIPO (PCT)
Prior art keywords
image
heater
red component
pixel
value
Prior art date
Application number
PCT/CN2019/082531
Other languages
French (fr)
Chinese (zh)
Inventor
葛高丽
Original Assignee
Ge Gaoli
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ge Gaoli filed Critical Ge Gaoli
Publication of WO2019233185A1 publication Critical patent/WO2019233185A1/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
    • F24D13/00—Electric heating systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion

Definitions

  • the invention relates to the field of smart home equipment, in particular to an electric oil heater.
  • the safety performance of the heater is very important.
  • 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. It is a mandatory requirement of the People's Republic of China for the import, export, factory, sale and use of various products. Certification.
  • the present invention provides an electric oil heater, which uses a heating driving device to increase the heating power of a heating pipe when a human body is present.
  • the component value and the red component value of the pixels around the pixel point determine whether the pixel point is an edge point, and determine whether to start a corresponding feature enhancement process based on the total number of edge points of the image, so as to avoid edge weakened feature enhancement images. ;
  • an electric oil heater is provided, and the heater includes:
  • a heating pipe is arranged in the base of the heater and is used to convert electric energy into heat by using electric heating to make the heating pipe generate heat;
  • a heat-conducting oil container is arranged on the base of the heater and is connected to the heating pipe and has built-in heat-conducting oil To receive the heat from the heating pipe and transfer the heat from the heating pipe to the heat transfer oil;
  • FLASH memory chip connected to the load field evaluation equipment, used to store the camera's own weight and preset difference threshold; spherical camera equipment, set on the base of the heater, used to shoot near the heater to obtain and output corresponding Image of a heater near; a load on-site evaluation device, located below the spherical camera device, for detecting the load weight of the spherical camera device to obtain the current load weight, subtracting the current load weight from the camera itself to obtain A weight difference, and when the weight difference is greater than or equal to a preset difference threshold, an excessive difference signal is issued, otherwise a difference tolerance signal is issued; a red component analysis device is connected to the spherical camera device, and is used for When the difference signal is received, the image near the heater is averagely divided to obtain image blocks of the same size, and the red component values of each pixel of each image block are calculated.
  • Threshold blocks are used as occlusion blocks, and blocks whose average value is less than a preset average threshold value are used as non-occluded blocks to output one or more occluded blocks in an image near the heater; an image restoration device, and
  • the red component analysis device is connected to receive one or more occlusion blocks in the image near the heater, and for each occlusion block, the image content of each surrounding block is used to perform interpolation calculation on its image content, To obtain the interpolated image blocks as interpolation blocks, and also to combine the one or more interpolated blocks and each non-occluded block in the image near the heater to obtain and output the current restored image
  • a multi-parameter analysis device connected to the spherical camera device for receiving an image near the heater, and determining the uniformity of the content of the image near the heater based on the pixel value distribution of
  • the clarity of the content of the image near the heater, outputting the clarity of the content, and for receiving the image near the heater, detecting the contrast of the image near the heater, and outputting the contrast; coefficient extraction equipment, and the multi A parameter analysis device is connected to receive the content uniformity, the content clarity, and the contrast, determine its influence coefficient on the binarization threshold based on the content uniformity, and determine its impact on the content clarity
  • the influence coefficient of the binarization threshold is determined based on the contrast, and is also used to simultaneously correct the binarization threshold based on the three influence coefficients, and output the corrected binarization.
  • Threshold value a binarization analysis device connected to the coefficient extraction device, configured to receive the corrected binarization threshold value, and perform a binarization analysis on the image near the heater based on the corrected binarization threshold value, to Obtain a binary image corresponding to the image near the heater; an edge point extraction device connected to the binary analysis device, and Receive the binarized image, obtain the red component value of each pixel in the binarized image, and perform the following operations for each pixel: based on the red component value of the pixel and the surrounding area of the pixel The red component value of a pixel determines whether the pixel is an edge point; wherein, in the edge point extraction device, the red component value of the pixel is determined based on the red component value of the pixel and the red component value of pixels around the pixel.
  • Whether the pixel point is an edge point includes: calculating an average value of red component values of pixels around the pixel point, determining a difference between the average value and the red component value of the pixel point, and determining an absolute value of the difference value When the limit is exceeded, the pixel point is determined as an edge point; an edge point analysis device is connected to the edge point extraction device, and is configured to determine the number of edge points in the binary image and determine the binary image The number of pixels in the binary image, when the ratio of the number of edge points in the binarized image to the number of pixels in the binarized image is less than or equal to a preset ratio threshold, A feature enhancement signal is required; a signal enhancement device is connected to the edge point analysis device and is configured to perform feature enhancement processing on the binary image when the feature enhancement signal is required to obtain a corresponding feature enhancement image Wherein the intensity of the signal enhancement device performing feature enhancement processing on the binarized image is proportional to the number of edge points in the binarized image; the number comparison device is connected to the signal enhancement device based on
  • the number comparison device is further configured to issue a human body recognition signal when the number of non-zero pixels is less than the first preset pixel number threshold.
  • the heating driving device is further configured to increase the heating power of the heating tube when the human body recognition signal is received.
  • the FLASH memory chip is further connected to the red component analysis device, and is configured to store the preset average threshold value in advance.
  • the FLASH memory chip, the load field evaluation device, the red component analysis device, and the image restoration device are integrated on the same integrated circuit board.
  • the multi-parameter analysis device the coefficient extraction device, and the binarization analysis device are respectively implemented by different SOC chips.
  • the pixel point is determined based on a red component value of the pixel point and a red component value of pixels around the pixel point. Whether it is an edge point further includes: when the absolute value of the difference value does not exceed the limit, determining that the pixel point is a background point.
  • the edge point analysis device when the number of edge points in the binarized image and the number of pixels in the binarized image When the ratio of is greater than the preset ratio threshold, a signal without feature enhancement is issued.
  • Embodiments of the electric oil heater of the present invention will be described in detail below.
  • 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 sets up an electric oil heater, which can effectively solve the corresponding technical problems.
  • the heating pipe is arranged in the base of the heater, and is used to convert electric energy into thermal energy by using electric heating to make the heating pipe generate heat;
  • the heat-conducting oil container is disposed on the base of the heater and is connected to the heating pipe.
  • the heat-conducting oil is built-in to receive heat from the heating pipe and transfer the heat from the heating pipe to the heat-conducting oil.
  • FLASH memory chip which is connected to the load on-site evaluation device and is used to store the weight of the camera itself and a preset difference threshold;
  • the spherical camera device is arranged on the base of the heater and is used for shooting the vicinity of the heater to obtain and output a corresponding image of the vicinity of the heater;
  • the load field evaluation device is disposed below the spherical camera device, and is used to detect the load weight of the spherical camera device to obtain the current load weight, subtract the current load weight from the weight of the camera itself to obtain a weight difference, and When the weight difference is greater than or equal to a preset difference threshold, an excessive difference signal is sent, otherwise a difference tolerance signal is sent;
  • a red component analysis device is connected to the spherical camera device, and is configured to averagely block images near the heater to obtain image blocks of the same size when the difference signal is received to a large extent.
  • Each red component value of each pixel of each image block is averaged to obtain a block average value corresponding to the image block, and is also used to block the block whose block average value is greater than or equal to a preset mean threshold value. Blocking, using a block whose block average is less than a preset average threshold value as a non-blocking block to output one or more blocking blocks in an image near the heater;
  • An image restoration device connected to the red component analysis device and configured to receive one or more occlusion blocks in an image near the heater, and for each occlusion block, use an image block around it to image it.
  • the content is subjected to interpolation calculation to obtain the interpolated image blocks as interpolation blocks, and is also used to combine the one or more interpolation blocks and each non-occluded block in the image near the heater to obtain And output the current restored image;
  • a multi-parameter analysis device connected to the spherical camera device and configured to receive an image near the heater, and determine the uniformity of the content of the image near the heater based on the pixel value distribution of the pixels of the image near the heater. Outputting the uniformity of the content is also used to determine the clarity of the content of the image near the heater based on the dynamic distribution range of the pixel values of the pixels of the image near the heater, outputting the clarity of the content, and receiving the content The image near the heater, detecting a contrast of the image near the heater, and outputting the contrast;
  • a coefficient extraction device connected to the multi-parameter analysis device for receiving the content uniformity, the content clarity, and the contrast, and determining an influence coefficient of the content on the binarization threshold based on the content uniformity, based on The content clarity determines its influence coefficient on the binarization threshold, and determines its influence coefficient on the binarization threshold based on the contrast, and is also used to simultaneously correct the binarization threshold based on the three influence coefficients, And output the corrected binarization threshold;
  • a binarization analysis device connected to the coefficient extraction device, for receiving a corrected binarization threshold and performing a binarization analysis on the image near the heater based on the corrected binarization threshold to obtain the The binarized image corresponding to the image near the heater;
  • An edge point extraction device which is connected to the binarization analysis device, is configured to receive the binarized image, obtain a red component value of each pixel point in the binarized image, and perform the following for each pixel point Operation: determine whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of pixels around the pixel point; wherein in the edge point extraction device, based on the pixel point's The red component value and the red component value of pixels around the pixel point to determine whether the pixel point is an edge point include: calculating an average value of the red component values of the pixel points around the pixel point, and determining the mean value and the pixel point A difference value of the red component value, and when the absolute value of the difference value exceeds the limit, determine that the pixel point is an edge point;
  • An edge point analysis device is connected to the edge point extraction device, and is configured to determine the number of edge points in the binarized image, and determine the number of pixel points in the binarized image.
  • a signal requiring feature enhancement is issued;
  • a signal enhancement device connected to the edge point analysis device and configured to perform feature enhancement processing on the binarized image to receive a corresponding feature enhancement image when the signal requiring feature enhancement is received, wherein the The strength of the signal enhancement device to perform feature enhancement processing on the binarized image is proportional to the number of edge points in the binarized image;
  • the quantity comparison device is connected to the signal enhancement device, and extracts from the feature-enhanced image based on a preset reference human sub-image a feature sub-image to be detected with the same size as the preset reference human sub-image, and converts the human to-be-detected Sub-images are subtracted from a preset reference human sub-image to obtain a difference image, and the number of pixels with non-zero pixel values in the difference image is calculated.
  • the number of non-zero pixels is greater than or equal to the first preset pixel number threshold , Sends out a human body unrecognized signal;
  • the heating driving device is respectively connected to the heating tube and the quantity comparison device, and is configured to reduce the heating power of the heating tube when the human body unrecognized signal is received.
  • the number comparison device is further configured to issue a human body identification signal when the number of non-zero pixels is less than the first preset number of pixels threshold.
  • the heating driving device is further configured to increase the heating power of the heating pipe when the human body identification signal is received.
  • the FLASH memory chip is further connected to the red component analysis device, and is configured to store the preset average threshold value in advance.
  • the FLASH memory chip In the electric heater, the FLASH memory chip, the load field evaluation device, the red component analysis device, and the image restoration device are integrated on the same integrated circuit board.
  • the multi-parameter analysis device In the electric oil heater, the multi-parameter analysis device, the coefficient extraction device, and the binarization analysis device are respectively implemented by different SOC chips.
  • the edge point extraction device determining whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of pixels around the pixel point The method further includes: when the absolute value of the difference does not exceed the limit, determining that the pixel point is a background point.
  • SOC System on Chip
  • CPU central processing unit
  • SOC It is the system that includes the brain, heart, eyes, and hands.
  • the academic community at home and abroad generally tends to define SOC as integrating a microprocessor, analog IP core, digital IP core, and memory (or off-chip memory control interface) on a single chip. He is usually customized by the customer or is oriented to a specific purpose. Standard products.
  • the basic content of SOC definition is mainly in two aspects: one is his composition, and the other is his formation process.
  • the composition of the system-level chip can be a system-level chip control logic module, a microprocessor / microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for external communication, and an ADC / DAC-containing module. Analog front-end module, power supply and power management module.
  • RF front-end module for a wireless SOC, there are RF front-end module, user-defined logic (which can be implemented by FPGA or ASIC), and micro-electro-mechanical module.
  • a SOC chip is embedded with Basic software (RDOS or COS and other application software) modules or loadable user software, etc.
  • a heating driving device is used to increase the heating power of the heating pipe when the human body is present.

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  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
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  • Combustion & Propulsion (AREA)
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Abstract

Disclosed is an electric oil heater, comprising: a heating pipe arranged in a base of the heater and used for converting electrical energy into heat energy in an electrical heating manner so that the heating pipe generates heat; a heat conducting oil container arranged on the base of the heater and connected to the heating pipe, with the heat conducting oil container being loaded with heat conducting oil for receiving the heat generated by the heating pipe and transferring the heat generated by the heating pipe into the heat conducting oil; a FLASH memory chip connected to a load onsite assessment device and used for storing the weight of a camera itself and a preset difference threshold value; and a spherical photography device arranged on the base of the heater and used for photographing the surroundings of the heater to obtain and output a corresponding image of the surroundings of the heater. The electric oil heater can improve the heating efficiency for a human body.

Description

电油汀型取暖器Electric oil heater 技术领域Technical field
本发明涉及智能家居设备领域，尤其涉及一种电油汀型取暖器。The invention relates to the field of smart home equipment, in particular to an electric oil heater.
背景技术Background technique
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. It is a mandatory requirement of the People's Republic of China for the import, export, factory, sale and use of various products. Certification.
发明内容Summary of the Invention
为了解决现有技术中取暖器浪费电力的技术问题，本发明提供了一种电油汀型取暖器，采用发热驱动设备以在存在人体时提高发热管的发热功率，其中，基于像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点，并基于图像的边缘点的总数确定是否启动相应的特征强化处理，以避免出现边缘弱化的特征强化图像；采用图像的多种参数同时对图像的二值化阈值进行纠正，保证了获取的二值化图像的精度；采用先负荷测量后图像内容分析的两级检测机制，对采集的图像进行遮挡情况的分析，并提供了与遮挡情况对应的还原机制。In order to solve the technical problem that the heater wastes electric power in the prior art, the present invention provides an electric oil heater, which uses a heating driving device to increase the heating power of a heating pipe when a human body is present. The component value and the red component value of the pixels around the pixel point determine whether the pixel point is an edge point, and determine whether to start a corresponding feature enhancement process based on the total number of edge points of the image, so as to avoid edge weakened feature enhancement images. ; Use multiple parameters of the image to correct the binarization threshold of the image at the same time, to ensure the accuracy of the obtained binarized image; use the two-level detection mechanism of load measurement first and image content analysis to block the collected image Analysis, and provides a reduction mechanism corresponding to the occlusion situation.
根据本发明的一方面，提供了一种电油汀型取暖器，所述取暖器包括：According to an aspect of the present invention, an electric oil heater is provided, and the heater includes:
发热管，设置在取暖器的底座内，用于采用电加热方式将电能转换为热能，使得发热管发热；导热油容器，设置在取暖器的底座上，与所述发热管连接，内置导热油以接收所述发热管发出的热量，并将所述发热管发出的热量传递到所述导热油内；A heating pipe is arranged in the base of the heater and is used to convert electric energy into heat by using electric heating to make the heating pipe generate heat; a heat-conducting oil container is arranged on the base of the heater and is connected to the heating pipe and has built-in heat-conducting oil To receive the heat from the heating pipe and transfer the heat from the heating pipe to the heat transfer oil;
FLASH存储芯片，与负荷现场评估设备连接，用于存储摄像机本身重 量和预设差值阈值；球形摄像设备，设置在取暖器的底座上，用于对取暖器附近进行拍摄，以获得并输出对应的取暖器附近图像；负荷现场评估设备，设置在球形摄像设备的下方，用于检测所述球形摄像设备的负荷重量，以获取当前负荷重量，将所述当前负荷重量减去摄像机本身重量以获得重量差值，并在所述重量差值大于等于预设差值阈值时，发出差值过大信号，否则发出差值容忍信号；红色分量分析设备，与所述球形摄像设备连接，用于在接收到所述差值过大信号时，将所述取暖器附近图像进行平均式分块以获得各个尺寸相同的图像分块，对每一个图像分块的各个像素点的各个红色分量值进行求均值计算，以获得所述图像分块对应的分块均值，还用于将分块均值大于等于预设均值阈值的分块作为遮挡分块，将分块均值小于预设均值阈值的分块作为非遮挡分块，以输出所述取暖器附近图像中的一个或多个遮挡分块；图像还原设备，与所述红色分量分析设备连接，用于接收所述取暖器附近图像中的一个或多个遮挡分块，对于每一个遮挡分块，采用其周围的各个图像分块对其图像内容进行插值计算，以获得插值后的图像分块以作为插值分块，还用于将所述一个或多个插值分块以及所述取暖器附近图像中的各个非遮挡分块进行组合以获得并输出当前还原图像；多参数分析设备，与所述球形摄像设备连接，用于接收所述取暖器附近图像，基于所述取暖器附近图像的像素点的像素值分布情况确定所述取暖器附近图像的内容均匀程度，输出所述内容均匀程度，还用于基于所述取暖器附近图像的像素点的像素值动态分布范围确定所述取暖器附近图像的内容清晰程度，输出所述内容清晰程度，以及用于接收所述取暖器附近图像，检测所述取暖器附近图像的对比度，并输出所述对比度；系数提取设备，与所述多参数分析设备连接，用于接收所述内容均匀程度、所述内容清晰程度以及所述对比度，基于所述内容均匀程度确定其对二值化阈值的影响系数，基于所述内容清晰程度确定其对二值化阈值的影响系数，基于所述对比度确定其对二值化阈值的影响系数，还用于基于所述三种影响系数同时对二值化阈值进行纠正，并输出纠正后的二值化阈值；二值化分析设备，与所述系数提取设备连接，用于接收纠正后的二值化阈值，并基于纠正后的二值化阈值对所述取暖器附近图像进行二值化分析，以获得所述取暖器附近图像对应的二值化图像；边缘点提取设备，与所述二值 化分析设备连接，用于接收所述二值化图像，获取所述二值化图像中的每一个像素点的红色分量值，针对每一个像素点执行以下操作：基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点；其中，在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点包括：计算所述像素点周围像素点的红色分量值的均值，确定所述均值与所述像素点的红色分量值的差值，并在所述差值的绝对值超限时，判断所述像素点为边缘点；边缘点分析设备，与所述边缘点提取设备连接，用于确定所述二值化图像中的边缘点的数量，并确定所述二值化图像中的像素点的数量，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值小于等于预设比例阈值时，发出需要特征强化信号；信号强化设备，与所述边缘点分析设备连接，用于在接收到所述需要特征强化信号时，对所述二值化图像执行特征强化处理，以获得对应的特征强化图像，其中，所述信号强化设备对所述二值化图像执行特征强化处理的力度与所述二值化图像中的边缘点的数量成正比；数量比较设备，与所述信号强化设备连接，基于预设基准人体子图像从特征强化图像中提取出与所述预设基准人体子图像相同尺寸的待检测人体子图像，将所述待检测人体子图像与预设基准人体子图像相减以获得差值图像，计算差值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第一预设像素数量阈值时，发出人体未识别信号；发热驱动设备，分别与所述发热管和所述数量比较设备连接，用于在接收到所述人体未识别信号时，降低所述发热管的发热功率。FLASH memory chip, connected to the load field evaluation equipment, used to store the camera's own weight and preset difference threshold; spherical camera equipment, set on the base of the heater, used to shoot near the heater to obtain and output corresponding Image of a heater near; a load on-site evaluation device, located below the spherical camera device, for detecting the load weight of the spherical camera device to obtain the current load weight, subtracting the current load weight from the camera itself to obtain A weight difference, and when the weight difference is greater than or equal to a preset difference threshold, an excessive difference signal is issued, otherwise a difference tolerance signal is issued; a red component analysis device is connected to the spherical camera device, and is used for When the difference signal is received, the image near the heater is averagely divided to obtain image blocks of the same size, and the red component values of each pixel of each image block are calculated. Mean value calculation to obtain the block mean value corresponding to the image block, and is also used to make the block mean value greater than or equal to a preset mean value Threshold blocks are used as occlusion blocks, and blocks whose average value is less than a preset average threshold value are used as non-occluded blocks to output one or more occluded blocks in an image near the heater; an image restoration device, and The red component analysis device is connected to receive one or more occlusion blocks in the image near the heater, and for each occlusion block, the image content of each surrounding block is used to perform interpolation calculation on its image content, To obtain the interpolated image blocks as interpolation blocks, and also to combine the one or more interpolated blocks and each non-occluded block in the image near the heater to obtain and output the current restored image A multi-parameter analysis device connected to the spherical camera device for receiving an image near the heater, and determining the uniformity of the content of the image near the heater based on the pixel value distribution of the pixels of the image near the heater To output the content uniformity, and is further used to determine the content based on a dynamic distribution range of pixel values of pixels in an image near the heater. The clarity of the content of the image near the heater, outputting the clarity of the content, and for receiving the image near the heater, detecting the contrast of the image near the heater, and outputting the contrast; coefficient extraction equipment, and the multi A parameter analysis device is connected to receive the content uniformity, the content clarity, and the contrast, determine its influence coefficient on the binarization threshold based on the content uniformity, and determine its impact on the content clarity The influence coefficient of the binarization threshold is determined based on the contrast, and is also used to simultaneously correct the binarization threshold based on the three influence coefficients, and output the corrected binarization. Threshold value; a binarization analysis device connected to the coefficient extraction device, configured to receive the corrected binarization threshold value, and perform a binarization analysis on the image near the heater based on the corrected binarization threshold value, to Obtain a binary image corresponding to the image near the heater; an edge point extraction device connected to the binary analysis device, and Receive the binarized image, obtain the red component value of each pixel in the binarized image, and perform the following operations for each pixel: based on the red component value of the pixel and the surrounding area of the pixel The red component value of a pixel determines whether the pixel is an edge point; wherein, in the edge point extraction device, the red component value of the pixel is determined based on the red component value of the pixel and the red component value of pixels around the pixel. Whether the pixel point is an edge point includes: calculating an average value of red component values of pixels around the pixel point, determining a difference between the average value and the red component value of the pixel point, and determining an absolute value of the difference value When the limit is exceeded, the pixel point is determined as an edge point; an edge point analysis device is connected to the edge point extraction device, and is configured to determine the number of edge points in the binary image and determine the binary image The number of pixels in the binary image, when the ratio of the number of edge points in the binarized image to the number of pixels in the binarized image is less than or equal to a preset ratio threshold, A feature enhancement signal is required; a signal enhancement device is connected to the edge point analysis device and is configured to perform feature enhancement processing on the binary image when the feature enhancement signal is required to obtain a corresponding feature enhancement image Wherein the intensity of the signal enhancement device performing feature enhancement processing on the binarized image is proportional to the number of edge points in the binarized image; the number comparison device is connected to the signal enhancement device based on The preset reference human sub-image extracts from the feature-enhanced image a sub-human image to be detected with the same size as the preset reference human sub-image, and subtracts the sub-image of the human to be detected from the preset reference human sub-image to obtain The difference image calculates the number of pixels with non-zero pixel values in the difference image. When the number of non-zero pixels is greater than or equal to the first preset number of pixels threshold, a human body unrecognized signal is issued; The heating pipe is connected to the quantity comparison device, and is configured to reduce the Thermal power.
更具体地，在所述电油汀型取暖器中：所述数量比较设备还用于当非零的像素的数量小于所述第一预设像素数量阈值时，发出人体识别信号。More specifically, in the electric oil heater, the number comparison device is further configured to issue a human body recognition signal when the number of non-zero pixels is less than the first preset pixel number threshold.
更具体地，在所述电油汀型取暖器中：所述发热驱动设备还用于在接收到所述人体识别信号时，提高所述发热管的发热功率。More specifically, in the electric oil heater, the heating driving device is further configured to increase the heating power of the heating tube when the human body recognition signal is received.
更具体地，在所述电油汀型取暖器中：所述FLASH存储芯片还与所述红色分量分析设备连接，用于预先存储所述预设均值阈值。More specifically, in the electric oil heater, the FLASH memory chip is further connected to the red component analysis device, and is configured to store the preset average threshold value in advance.
更具体地，在所述电油汀型取暖器中：所述FLASH存储芯片、所述负荷现场评估设备、所述红色分量分析设备和所述图像还原设备被集成在 同一块集成电路板上。More specifically, in the electric oil heater, the FLASH memory chip, the load field evaluation device, the red component analysis device, and the image restoration device are integrated on the same integrated circuit board.
更具体地，在所述电油汀型取暖器中：所述多参数分析设备、所述系数提取设备和所述二值化分析设备分别采用不同SOC芯片来实现。More specifically, in the electric oil heater, the multi-parameter analysis device, the coefficient extraction device, and the binarization analysis device are respectively implemented by different SOC chips.
更具体地，在所述电油汀型取暖器中：在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点还包括：在所述差值的绝对值未超限时，判断所述像素点为背景点。More specifically, in the electric oil heater, in the edge point extraction device, the pixel point is determined based on a red component value of the pixel point and a red component value of pixels around the pixel point. Whether it is an edge point further includes: when the absolute value of the difference value does not exceed the limit, determining that the pixel point is a background point.
更具体地，在所述电油汀型取暖器中：在所述边缘点分析设备中，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值大于所述预设比例阈值时，发出无需特征强化信号。More specifically, in the electric oil heater, in the edge point analysis device, when the number of edge points in the binarized image and the number of pixels in the binarized image When the ratio of is greater than the preset ratio threshold, a signal without feature enhancement is issued.
具体实施方式Detailed ways
下面将对本发明的电油汀型取暖器的实施方案进行详细说明。Embodiments of the electric oil heater of the present invention will be described in detail below.
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.
为了克服上述不足，本发明搭建了一种电油汀型取暖器，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 electric oil heater, which can effectively solve the corresponding technical problems.
根据本发明实施方案示出的电油汀型取暖器包括：The electric oil heater according to the embodiment of the present invention includes:
发热管，设置在取暖器的底座内，用于采用电加热方式将电能转换为热能，使得发热管发热；The heating pipe is arranged in the base of the heater, and is used to convert electric energy into thermal energy by using electric heating to make the heating pipe generate heat;
导热油容器，设置在取暖器的底座上，与所述发热管连接，内置导热油以接收所述发热管发出的热量，并将所述发热管发出的热量传递到所述导热油内；The heat-conducting oil container is disposed on the base of the heater and is connected to the heating pipe. The heat-conducting oil is built-in to receive heat from the heating pipe and transfer the heat from the heating pipe to the heat-conducting oil.
FLASH存储芯片，与负荷现场评估设备连接，用于存储摄像机本身重量和预设差值阈值；FLASH memory chip, which is connected to the load on-site evaluation device and is used to store the weight of the camera itself and a preset difference threshold;
球形摄像设备，设置在取暖器的底座上，用于对取暖器附近进行拍摄，以获得并输出对应的取暖器附近图像；The spherical camera device is arranged on the base of the heater and is used for shooting the vicinity of the heater to obtain and output a corresponding image of the vicinity of the heater;
负荷现场评估设备，设置在球形摄像设备的下方，用于检测所述球形摄像设备的负荷重量，以获取当前负荷重量，将所述当前负荷重量减去摄像机本身重量以获得重量差值，并在所述重量差值大于等于预设差值阈值时，发出差值过大信号，否则发出差值容忍信号；The load field evaluation device is disposed below the spherical camera device, and is used to detect the load weight of the spherical camera device to obtain the current load weight, subtract the current load weight from the weight of the camera itself to obtain a weight difference, and When the weight difference is greater than or equal to a preset difference threshold, an excessive difference signal is sent, otherwise a difference tolerance signal is sent;
红色分量分析设备，与所述球形摄像设备连接，用于在接收到所述差值过大信号时，将所述取暖器附近图像进行平均式分块以获得各个尺寸相同的图像分块，对每一个图像分块的各个像素点的各个红色分量值进行求均值计算，以获得所述图像分块对应的分块均值，还用于将分块均值大于等于预设均值阈值的分块作为遮挡分块，将分块均值小于预设均值阈值的分块作为非遮挡分块，以输出所述取暖器附近图像中的一个或多个遮挡分块；A red component analysis device is connected to the spherical camera device, and is configured to averagely block images near the heater to obtain image blocks of the same size when the difference signal is received to a large extent. Each red component value of each pixel of each image block is averaged to obtain a block average value corresponding to the image block, and is also used to block the block whose block average value is greater than or equal to a preset mean threshold value. Blocking, using a block whose block average is less than a preset average threshold value as a non-blocking block to output one or more blocking blocks in an image near the heater;
图像还原设备，与所述红色分量分析设备连接，用于接收所述取暖器附近图像中的一个或多个遮挡分块，对于每一个遮挡分块，采用其周围的各个图像分块对其图像内容进行插值计算，以获得插值后的图像分块以作为插值分块，还用于将所述一个或多个插值分块以及所述取暖器附近图像中的各个非遮挡分块进行组合以获得并输出当前还原图像；An image restoration device connected to the red component analysis device and configured to receive one or more occlusion blocks in an image near the heater, and for each occlusion block, use an image block around it to image it. The content is subjected to interpolation calculation to obtain the interpolated image blocks as interpolation blocks, and is also used to combine the one or more interpolation blocks and each non-occluded block in the image near the heater to obtain And output the current restored image;
多参数分析设备，与所述球形摄像设备连接，用于接收所述取暖器附近图像，基于所述取暖器附近图像的像素点的像素值分布情况确定所述取暖器附近图像的内容均匀程度，输出所述内容均匀程度，还用于基于所述取暖器附近图像的像素点的像素值动态分布范围确定所述取暖器附近图像的内容清晰程度，输出所述内容清晰程度，以及用于接收所述取暖器附近图像，检测所述取暖器附近图像的对比度，并输出所述对比度；A multi-parameter analysis device connected to the spherical camera device and configured to receive an image near the heater, and determine the uniformity of the content of the image near the heater based on the pixel value distribution of the pixels of the image near the heater. Outputting the uniformity of the content is also used to determine the clarity of the content of the image near the heater based on the dynamic distribution range of the pixel values of the pixels of the image near the heater, outputting the clarity of the content, and receiving the content The image near the heater, detecting a contrast of the image near the heater, and outputting the contrast;
系数提取设备，与所述多参数分析设备连接，用于接收所述内容均匀程度、所述内容清晰程度以及所述对比度，基于所述内容均匀程度确定其对二值化阈值的影响系数，基于所述内容清晰程度确定其对二值化阈值的影响系数，基于所述对比度确定其对二值化阈值的影响系数，还用于基于所述三种影响系数同时对二值化阈值进行纠正，并输出纠正后的二值化阈值；A coefficient extraction device connected to the multi-parameter analysis device for receiving the content uniformity, the content clarity, and the contrast, and determining an influence coefficient of the content on the binarization threshold based on the content uniformity, based on The content clarity determines its influence coefficient on the binarization threshold, and determines its influence coefficient on the binarization threshold based on the contrast, and is also used to simultaneously correct the binarization threshold based on the three influence coefficients, And output the corrected binarization threshold;
二值化分析设备，与所述系数提取设备连接，用于接收纠正后的二值化阈值，并基于纠正后的二值化阈值对所述取暖器附近图像进行二值化分 析，以获得所述取暖器附近图像对应的二值化图像；A binarization analysis device, connected to the coefficient extraction device, for receiving a corrected binarization threshold and performing a binarization analysis on the image near the heater based on the corrected binarization threshold to obtain the The binarized image corresponding to the image near the heater;
边缘点提取设备，与所述二值化分析设备连接，用于接收所述二值化图像，获取所述二值化图像中的每一个像素点的红色分量值，针对每一个像素点执行以下操作：基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点；其中，在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点包括：计算所述像素点周围像素点的红色分量值的均值，确定所述均值与所述像素点的红色分量值的差值，并在所述差值的绝对值超限时，判断所述像素点为边缘点；An edge point extraction device, which is connected to the binarization analysis device, is configured to receive the binarized image, obtain a red component value of each pixel point in the binarized image, and perform the following for each pixel point Operation: determine whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of pixels around the pixel point; wherein in the edge point extraction device, based on the pixel point's The red component value and the red component value of pixels around the pixel point to determine whether the pixel point is an edge point include: calculating an average value of the red component values of the pixel points around the pixel point, and determining the mean value and the pixel point A difference value of the red component value, and when the absolute value of the difference value exceeds the limit, determine that the pixel point is an edge point;
边缘点分析设备，与所述边缘点提取设备连接，用于确定所述二值化图像中的边缘点的数量，并确定所述二值化图像中的像素点的数量，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值小于等于预设比例阈值时，发出需要特征强化信号；An edge point analysis device is connected to the edge point extraction device, and is configured to determine the number of edge points in the binarized image, and determine the number of pixel points in the binarized image. When the ratio of the number of edge points in the binarized image to the number of pixels in the binarized image is less than or equal to a preset ratio threshold, a signal requiring feature enhancement is issued;
信号强化设备，与所述边缘点分析设备连接，用于在接收到所述需要特征强化信号时，对所述二值化图像执行特征强化处理，以获得对应的特征强化图像，其中，所述信号强化设备对所述二值化图像执行特征强化处理的力度与所述二值化图像中的边缘点的数量成正比；A signal enhancement device connected to the edge point analysis device and configured to perform feature enhancement processing on the binarized image to receive a corresponding feature enhancement image when the signal requiring feature enhancement is received, wherein the The strength of the signal enhancement device to perform feature enhancement processing on the binarized image is proportional to the number of edge points in the binarized image;
数量比较设备，与所述信号强化设备连接，基于预设基准人体子图像从特征强化图像中提取出与所述预设基准人体子图像相同尺寸的待检测人体子图像，将所述待检测人体子图像与预设基准人体子图像相减以获得差值图像，计算差值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第一预设像素数量阈值时，发出人体未识别信号；The quantity comparison device is connected to the signal enhancement device, and extracts from the feature-enhanced image based on a preset reference human sub-image a feature sub-image to be detected with the same size as the preset reference human sub-image, and converts the human to-be-detected Sub-images are subtracted from a preset reference human sub-image to obtain a difference image, and the number of pixels with non-zero pixel values in the difference image is calculated. When the number of non-zero pixels is greater than or equal to the first preset pixel number threshold , Sends out a human body unrecognized signal;
发热驱动设备，分别与所述发热管和所述数量比较设备连接，用于在接收到所述人体未识别信号时，降低所述发热管的发热功率。The heating driving device is respectively connected to the heating tube and the quantity comparison device, and is configured to reduce the heating power of the heating tube when the human body unrecognized signal is received.
接着，继续对本发明的电油汀型取暖器的具体结构进行进一步的说明。Next, the specific structure of the electric oil heater of the present invention will be further described.
在所述电油汀型取暖器中：所述数量比较设备还用于当非零的像素的数量小于所述第一预设像素数量阈值时，发出人体识别信号。In the electric oil heater, the number comparison device is further configured to issue a human body identification signal when the number of non-zero pixels is less than the first preset number of pixels threshold.
在所述电油汀型取暖器中：所述发热驱动设备还用于在接收到所述人体识别信号时，提高所述发热管的发热功率。In the electric oil heater, the heating driving device is further configured to increase the heating power of the heating pipe when the human body identification signal is received.
在所述电油汀型取暖器中：所述FLASH存储芯片还与所述红色分量分析设备连接，用于预先存储所述预设均值阈值。In the electric oil heater, the FLASH memory chip is further connected to the red component analysis device, and is configured to store the preset average threshold value in advance.
在所述电油汀型取暖器中：所述FLASH存储芯片、所述负荷现场评估设备、所述红色分量分析设备和所述图像还原设备被集成在同一块集成电路板上。In the electric heater, the FLASH memory chip, the load field evaluation device, the red component analysis device, and the image restoration device are integrated on the same integrated circuit board.
在所述电油汀型取暖器中：所述多参数分析设备、所述系数提取设备和所述二值化分析设备分别采用不同SOC芯片来实现。In the electric oil heater, the multi-parameter analysis device, the coefficient extraction device, and the binarization analysis device are respectively implemented by different SOC chips.
在所述电油汀型取暖器中：在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点还包括：在所述差值的绝对值未超限时，判断所述像素点为背景点。In the electric heater, in the edge point extraction device, determining whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of pixels around the pixel point The method further includes: when the absolute value of the difference does not exceed the limit, determining that the pixel point is a background point.
以及在所述电油汀型取暖器中：在所述边缘点分析设备中，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值大于所述预设比例阈值时，发出无需特征强化信号。And in the electric oil heater, in the edge point analysis device, when the ratio of the number of edge points in the binarized image to the number of pixels in the binarized image is greater than When the preset ratio threshold value is used, a feature enhancement signal is not required.
另外，System on Chip，简称SOC，也即片上系统。从狭义角度讲，他是信息系统核心的芯片集成，是将系统关键部件集成在一块芯片上；从广义角度讲，SOC是一个微小型系统，如果说中央处理器(CPU)是大脑，那么SOC就是包括大脑、心脏、眼睛和手的系统。国内外学术界一般倾向将SOC定义为将微处理器、模拟IP核、数字IP核和存储器(或片外存储控制接口)集成在单一芯片上，他通常是客户定制的，或是面向特定用途的标准产品。In addition, System on Chip, referred to as SOC, is also a system on a chip. In a narrow sense, he is the core chip integration of the information system, which is to integrate the key components of the system on a chip; in a broad sense, the SOC is a micro-small system. If the central processing unit (CPU) is the brain, then the SOC It is the system that includes the brain, heart, eyes, and hands. The academic community at home and abroad generally tends to define SOC as integrating a microprocessor, analog IP core, digital IP core, and memory (or off-chip memory control interface) on a single chip. He is usually customized by the customer or is oriented to a specific purpose. Standard products.
SOC定义的基本内容主要在两方面：其一是他的构成，其二是他形成过程。系统级芯片的构成可以是系统级芯片控制逻辑模块、微处理器/微控制器CPU内核模块、数字信号处理器DSP模块、嵌入的存储器模块、和外部进行通讯的接口模块、含有ADC/DAC的模拟前端模块、电源提供和功耗管理模块，对于一个无线SOC还有射频前端模块、用户定义逻辑(他可以由FPGA或ASIC实现)以及微电子机械模块，更重要的是一个SOC芯片内嵌有基本软件(RDOS或COS以及其他应用软件)模块或可载入的用户软件等。The basic content of SOC definition is mainly in two aspects: one is his composition, and the other is his formation process. The composition of the system-level chip can be a system-level chip control logic module, a microprocessor / microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for external communication, and an ADC / DAC-containing module. Analog front-end module, power supply and power management module. For a wireless SOC, there are RF front-end module, user-defined logic (which can be implemented by FPGA or ASIC), and micro-electro-mechanical module. More importantly, a SOC chip is embedded with Basic software (RDOS or COS and other application software) modules or loadable user software, etc.
采用本发明的电油汀型取暖器，针对现有技术中电油汀型取暖器无法 根据附近人体存在情况调整供暖功率的技术问题，采用发热驱动设备以在存在人体时提高发热管的发热功率，从而提高取暖器的取暖效率，其中，基于像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点，并基于图像的边缘点的总数确定是否启动相应的特征强化处理，以避免出现边缘弱化的特征强化图像；采用图像的多种参数同时对图像的二值化阈值进行纠正，保证了获取的二值化图像的精度；采用先负荷测量后图像内容分析的两级检测机制，对采集的图像进行遮挡情况的分析，并提供了与遮挡情况对应的还原机制，从而解决了上述技术问题。By adopting the electric oil heater according to the present invention, in response to the technical problem that the electric oil heater cannot adjust the heating power according to the existence of a nearby human body in the prior art, a heating driving device is used to increase the heating power of the heating pipe when the human body is present. In order to improve the heating efficiency of the heater, whether the pixel point is an edge point is determined based on the red component value of the pixel point and the red component value of the pixel points around the pixel point, and whether the pixel point is determined based on the total number of edge points of the image Start the corresponding feature enhancement processing to avoid edge weakened feature enhancement images; use multiple parameters of the image to correct the binarization threshold of the image at the same time to ensure the accuracy of the obtained binarized image; use load measurement first The two-level detection mechanism of image content analysis analyzes the occlusion situation of the collected image and provides a restoration mechanism corresponding to the occlusion situation, 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. 一种电油汀型取暖器，所述取暖器包括：An electric oil heater, the heater includes:
    发热管，设置在取暖器的底座内，用于采用电加热方式将电能转换为热能，使得发热管发热；The heating pipe is arranged in the base of the heater, and is used to convert electric energy into thermal energy by using electric heating to make the heating pipe generate heat;
    导热油容器，设置在取暖器的底座上，与所述发热管连接，内置导热油以接收所述发热管发出的热量，并将所述发热管发出的热量传递到所述导热油内；The heat-conducting oil container is disposed on the base of the heater and is connected to the heating pipe. The heat-conducting oil is built-in to receive heat from the heating pipe and transfer the heat from the heating pipe to the heat-conducting oil.
    FLASH存储芯片，与负荷现场评估设备连接，用于存储摄像机本身重量和预设差值阈值；FLASH memory chip, which is connected to the load on-site evaluation device and is used to store the weight of the camera itself and a preset difference threshold;
    球形摄像设备，设置在取暖器的底座上，用于对取暖器附近进行拍摄，以获得并输出对应的取暖器附近图像；The spherical camera device is arranged on the base of the heater and is used for shooting the vicinity of the heater to obtain and output a corresponding image of the vicinity of the heater;
    负荷现场评估设备，设置在球形摄像设备的下方，用于检测所述球形摄像设备的负荷重量，以获取当前负荷重量，将所述当前负荷重量减去摄像机本身重量以获得重量差值，并在所述重量差值大于等于预设差值阈值时，发出差值过大信号，否则发出差值容忍信号；The load field evaluation device is disposed below the spherical camera device, and is used to detect the load weight of the spherical camera device to obtain the current load weight, subtract the current load weight from the weight of the camera itself to obtain a weight difference, and When the weight difference is greater than or equal to a preset difference threshold, an excessive difference signal is sent, otherwise a difference tolerance signal is sent;
    红色分量分析设备，与所述球形摄像设备连接，用于在接收到所述差值过大信号时，将所述取暖器附近图像进行平均式分块以获得各个尺寸相同的图像分块，对每一个图像分块的各个像素点的各个红色分量值进行求均值计算，以获得所述图像分块对应的分块均值，还用于将分块均值大于等于预设均值阈值的分块作为遮挡分块，将分块均值小于预设均值阈值的分块作为非遮挡分块，以输出所述取暖器附近图像中的一个或多个遮挡分块；A red component analysis device is connected to the spherical camera device, and is configured to averagely block images near the heater to obtain image blocks of the same size when the difference signal is received to a large extent. Each red component value of each pixel of each image block is averaged to obtain a block average value corresponding to the image block, and is also used to block the block whose block average value is greater than or equal to a preset mean threshold value. Blocking, using a block whose block average is less than a preset average threshold value as a non-blocking block to output one or more blocking blocks in an image near the heater;
    图像还原设备，与所述红色分量分析设备连接，用于接收所述取暖器附近图像中的一个或多个遮挡分块，对于每一个遮挡分块，采用其周围的各个图像分块对其图像内容进行插值计算，以获得插值后的图像分块以作为插值分块，还用于将所述一个或多个插值分块以及所述取暖器附近图像中的各个非遮挡分块进行组合以获得并输出当前还原图像；An image restoration device connected to the red component analysis device and configured to receive one or more occlusion blocks in an image near the heater, and for each occlusion block, use an image block around it to image it. The content is subjected to interpolation calculation to obtain the interpolated image blocks as interpolation blocks, and is also used to combine the one or more interpolation blocks and each non-occluded block in the image near the heater to obtain And output the current restored image;
    多参数分析设备，与所述球形摄像设备连接，用于接收所述取暖器附近图像，基于所述取暖器附近图像的像素点的像素值分布情况确定所述取 暖器附近图像的内容均匀程度，输出所述内容均匀程度，还用于基于所述取暖器附近图像的像素点的像素值动态分布范围确定所述取暖器附近图像的内容清晰程度，输出所述内容清晰程度，以及用于接收所述取暖器附近图像，检测所述取暖器附近图像的对比度，并输出所述对比度；A multi-parameter analysis device connected to the spherical camera device and configured to receive an image near the heater, and determine the uniformity of the content of the image near the heater based on the pixel value distribution of the pixels of the image near the heater. Outputting the uniformity of the content is also used to determine the clarity of the content of the image near the heater based on the dynamic distribution range of the pixel values of the pixels of the image near the heater, outputting the clarity of the content, and receiving the content The image near the heater, detecting a contrast of the image near the heater, and outputting the contrast;
    系数提取设备，与所述多参数分析设备连接，用于接收所述内容均匀程度、所述内容清晰程度以及所述对比度，基于所述内容均匀程度确定其对二值化阈值的影响系数，基于所述内容清晰程度确定其对二值化阈值的影响系数，基于所述对比度确定其对二值化阈值的影响系数，还用于基于所述三种影响系数同时对二值化阈值进行纠正，并输出纠正后的二值化阈值；A coefficient extraction device connected to the multi-parameter analysis device for receiving the content uniformity, the content clarity, and the contrast, and determining an influence coefficient of the content on the binarization threshold based on the content uniformity, based on The content clarity determines its influence coefficient on the binarization threshold, and determines its influence coefficient on the binarization threshold based on the contrast, and is also used to simultaneously correct the binarization threshold based on the three influence coefficients, And output the corrected binarization threshold;
    二值化分析设备，与所述系数提取设备连接，用于接收纠正后的二值化阈值，并基于纠正后的二值化阈值对所述取暖器附近图像进行二值化分析，以获得所述取暖器附近图像对应的二值化图像；A binarization analysis device, connected to the coefficient extraction device, for receiving a corrected binarization threshold and performing a binarization analysis on the image near the heater based on the corrected binarization threshold to obtain the The binarized image corresponding to the image near the heater;
    边缘点提取设备，与所述二值化分析设备连接，用于接收所述二值化图像，获取所述二值化图像中的每一个像素点的红色分量值，针对每一个像素点执行以下操作：基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点；其中，在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点包括：计算所述像素点周围像素点的红色分量值的均值，确定所述均值与所述像素点的红色分量值的差值，并在所述差值的绝对值超限时，判断所述像素点为边缘点；An edge point extraction device, which is connected to the binarization analysis device, is configured to receive the binarized image, obtain a red component value of each pixel point in the binarized image, and perform the following for each pixel point Operation: determine whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of pixels around the pixel point; wherein in the edge point extraction device, based on the pixel point's The red component value and the red component value of pixels around the pixel point to determine whether the pixel point is an edge point include: calculating an average value of the red component values of the pixel points around the pixel point, and determining the mean value and the pixel point A difference value of the red component value, and when the absolute value of the difference value exceeds the limit, determine that the pixel point is an edge point;
    边缘点分析设备，与所述边缘点提取设备连接，用于确定所述二值化图像中的边缘点的数量，并确定所述二值化图像中的像素点的数量，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值小于等于预设比例阈值时，发出需要特征强化信号；An edge point analysis device is connected to the edge point extraction device, and is configured to determine the number of edge points in the binarized image, and determine the number of pixel points in the binarized image. When the ratio of the number of edge points in the binarized image to the number of pixels in the binarized image is less than or equal to a preset ratio threshold, a signal requiring feature enhancement is issued;
    信号强化设备，与所述边缘点分析设备连接，用于在接收到所述需要特征强化信号时，对所述二值化图像执行特征强化处理，以获得对应的特征强化图像，其中，所述信号强化设备对所述二值化图像执行特征强化处理的力度与所述二值化图像中的边缘点的数量成正比；A signal enhancement device connected to the edge point analysis device and configured to perform feature enhancement processing on the binarized image to receive a corresponding feature enhancement image when the signal requiring feature enhancement is received, wherein the The strength of the signal enhancement device to perform feature enhancement processing on the binarized image is proportional to the number of edge points in the binarized image;
    数量比较设备，与所述信号强化设备连接，基于预设基准人体子图像 从特征强化图像中提取出与所述预设基准人体子图像相同尺寸的待检测人体子图像，将所述待检测人体子图像与预设基准人体子图像相减以获得差值图像，计算差值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第一预设像素数量阈值时，发出人体未识别信号；The quantity comparison device is connected to the signal enhancement device, and extracts from the feature-enhanced image based on a preset reference human sub-image a feature sub-image to be detected with the same size as the preset reference human sub-image, and converts the human to-be-detected Sub-images are subtracted from a preset reference human sub-image to obtain a difference image, and the number of pixels with non-zero pixel values in the difference image is calculated. When the number of non-zero pixels is greater than or equal to the first preset pixel number threshold , Sends out a human body unrecognized signal;
    发热驱动设备，分别与所述发热管和所述数量比较设备连接，用于在接收到所述人体未识别信号时，降低所述发热管的发热功率。The heating driving device is respectively connected to the heating tube and the quantity comparison device, and is configured to reduce the heating power of the heating tube when the human body unrecognized signal is received.
  2. 如权利要求1所述的电油汀型取暖器，其特征在于：The electric heater according to claim 1, characterized in that:
    所述数量比较设备还用于当非零的像素的数量小于所述第一预设像素数量阈值时，发出人体识别信号。The number comparison device is further configured to issue a body recognition signal when the number of non-zero pixels is less than the first preset number of pixels threshold.
  3. 如权利要求2所述的电油汀型取暖器，其特征在于：The electric oil heater of claim 2, wherein:
    所述发热驱动设备还用于在接收到所述人体识别信号时，提高所述发热管的发热功率。The heating driving device is further configured to increase the heating power of the heating tube when the human body identification signal is received.
  4. 如权利要求3所述的电油汀型取暖器，其特征在于：The electric oil heater of claim 3, wherein:
    所述FLASH存储芯片还与所述红色分量分析设备连接，用于预先存储所述预设均值阈值。The FLASH memory chip is also connected to the red component analysis device, and is configured to store the preset average threshold value in advance.
  5. 如权利要求4所述的电油汀型取暖器，其特征在于：The electric oil heater according to claim 4, characterized in that:
    所述FLASH存储芯片、所述负荷现场评估设备、所述红色分量分析设备和所述图像还原设备被集成在同一块集成电路板上。The FLASH memory chip, the load field evaluation device, the red component analysis device, and the image restoration device are integrated on the same integrated circuit board.
  6. 如权利要求5所述的电油汀型取暖器，其特征在于：The electric oil heater according to claim 5, characterized in that:
    所述多参数分析设备、所述系数提取设备和所述二值化分析设备分别采用不同SOC芯片来实现。The multi-parameter analysis device, the coefficient extraction device, and the binarization analysis device are respectively implemented using different SOC chips.
  7. 如权利要求6所述的电油汀型取暖器，其特征在于：The electric oil heater according to claim 6, characterized in that:
    在所述边缘点提取设备中，基于所述像素点的红色分量值与所述像素点周围像素点的红色分量值判断所述像素点是否为边缘点还包括：在所述 差值的绝对值未超限时，判断所述像素点为背景点。In the edge point extraction device, determining whether the pixel point is an edge point based on a red component value of the pixel point and a red component value of a pixel point around the pixel point further includes: an absolute value of the difference value When the limit is not exceeded, it is determined that the pixel point is a background point.
  8. 如权利要求7所述的电油汀型取暖器，其特征在于：The electric oil heater according to claim 7, characterized in that:
    在所述边缘点分析设备中，当所述二值化图像中的边缘点的数量与所述二值化图像中的像素点的数量的比值大于所述预设比例阈值时，发出无需特征强化信号。In the edge point analysis device, when a ratio of the number of edge points in the binarized image to the number of pixel points in the binarized image is greater than the preset ratio threshold, no feature enhancement is issued. signal.
PCT/CN2019/082531 2018-06-04 2019-04-12 Electric oil heater WO2019233185A1 (en)

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