WO2019233186A1 - 电暖器灭火策略定制机构 - Google Patents

电暖器灭火策略定制机构 Download PDF

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Publication number
WO2019233186A1
WO2019233186A1 PCT/CN2019/082532 CN2019082532W WO2019233186A1 WO 2019233186 A1 WO2019233186 A1 WO 2019233186A1 CN 2019082532 W CN2019082532 W CN 2019082532W WO 2019233186 A1 WO2019233186 A1 WO 2019233186A1
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WIPO (PCT)
Prior art keywords
image
electric heater
fire extinguishing
target
edge
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PCT/CN2019/082532
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English (en)
French (fr)
Inventor
葛高丽
Original Assignee
Ge Gaoli
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Application filed by Ge Gaoli filed Critical Ge Gaoli
Priority to US16/966,312 priority Critical patent/US20200368568A1/en
Publication of WO2019233186A1 publication Critical patent/WO2019233186A1/zh

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    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62C—FIRE-FIGHTING
    • A62C37/00—Control of fire-fighting equipment
    • A62C37/04—Control of fire-fighting equipment with electrically-controlled release
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62C—FIRE-FIGHTING
    • A62C3/00—Fire prevention, containment or extinguishing specially adapted for particular objects or places
    • A62C3/16—Fire prevention, containment or extinguishing specially adapted for particular objects or places in electrical installations, e.g. cableways
    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62C—FIRE-FIGHTING
    • A62C37/00—Control of fire-fighting equipment
    • A62C37/36—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device
    • A62C37/38—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone
    • A62C37/40—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone with electric connection between sensor and actuator
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
    • F24C7/00—Stoves or ranges heated by electric energy
    • F24C7/08—Arrangement or mounting of control or safety devices
    • F24C7/081—Arrangement or mounting of control or safety devices on stoves
    • 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
    • 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
    • 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
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0006—Industrial image inspection using a design-rule based approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-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
    • G06T7/13—Edge detection
    • 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
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • 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
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation
    • 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
    • G06T2207/20172—Image enhancement details
    • G06T2207/20208—High dynamic range [HDR] image processing
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection

Definitions

  • the invention relates to the field of household equipment, in particular to a customized mechanism for extinguishing strategies of electric heaters.
  • Electric heaters can be divided into oil-type electric heaters, heaters, and heat-radiating heaters in appearance: oil-type electric heaters are the most common electric heaters on the market, and their common appearance is very similar to the radiator group at home; There are two types of bathroom heaters and non-bathroom heaters.
  • the bathroom heaters are small in size, strong in blowing air, and heat up very quickly, and adopt a fully enclosed design to ensure safety during use.
  • the fan looks like an air conditioner in appearance; the heat radiation type heater looks like an electric fan in appearance, but the fan leaf and the rear grille are replaced by electric heating components and curved reflectors, respectively.
  • the present invention provides a custom mechanism for extinguishing strategies of electric heaters.
  • An automatic fire extinguishing mechanism is established on the electric heaters, and an automatic fire extinguishing operation can be determined based on the positioning data of the flame target.
  • the pixel value search results accurately determine the jitter direction and the amount of jitter of the dot-matrix camera; according to the distribution of edge points in the image, different regions of the image are contrast-enhanced with different amplitudes, thereby facilitating various subsequent image processing.
  • a customized mechanism for electric heater fire extinguishing strategy includes:
  • the timing device is set on the integrated circuit board in the electric heater, and is used for timing the running time of the electric heater as the current running time and outputting the current running time; the instant display device is set in the electric heater.
  • the integrated circuit board is connected to the timing device for receiving the current running time, and when the current running time exceeds the limit, a red character string corresponding to the excessive running time information is displayed in real time.
  • the electric heater fire extinguishing strategy customization mechanism further includes:
  • a position sensing device is provided on the dot matrix camera mechanism, and is used to detect the current position of the dot matrix camera mechanism and determine a difference between the current position and a preset fixed position, where the difference includes a horizontal direction A change amount and a change amount in the vertical direction, and when the change amount in the horizontal direction changes between a positive value and a negative value, or when the change amount in the vertical direction changes between a positive value and a negative value, a shake sensing signal is issued, otherwise, Non-jitter induction signal; Dot matrix camera mechanism is used to shoot around the heater, and continuously output multiple images around the heater at a preset frame rate.
  • the electric heater fire extinguishing strategy customization mechanism further includes:
  • An image data extraction device which is connected to the dot-matrix imaging mechanism, and is configured to receive two images obtained in sequence from the dot-matrix imaging mechanism as a current image and a subsequent image, and obtain each pixel of the current image A pixel value of a point and a pixel value of each pixel point of the subsequent image.
  • the electric heater fire extinguishing strategy customization mechanism further includes:
  • a pixel search device is connected to the image data extraction device and the position sensing device, respectively, for entering a shake detection mode when the shake sensing signal is received, and also for receiving the non-shake sensing when the shake sensing signal is received.
  • the pixel point search device performs the following processing in the shake detection mode: obtaining each pixel point from the current image as each reference pixel point based on an Archimedes curve, The coordinates of each reference pixel point in the current image are used as the corresponding reference coordinates. For each reference pixel point, a pixel value near the reference coordinate is searched from the subsequent image based on its pixel value to be equal to the reference pixel.
  • a pixel point of a pixel value is used as a target pixel point corresponding to the reference pixel point, and a coordinate of the target pixel point in the subsequent image is used as a corresponding target coordinate;
  • an image data analysis device searches the pixel point Device connection for obtaining multiple reference pixels and multiple target pixels corresponding to multiple reference pixels, Determine the horizontal displacement of each reference coordinate to its corresponding target coordinate, average each horizontal displacement of each reference coordinate to obtain the horizontal movement of the image, determine the vertical displacement of each reference coordinate to its corresponding target coordinate, and for each reference The vertical displacements of the coordinates are averaged to obtain the amount of vertical movement of the image, the amount of time movement is determined based on the timestamp of the current image and the timestamp of the subsequent time, and based on the amount of time movement, the amount of horizontal movement of the image, and
  • the vertical movement of the image calculates a direction vector of the dot-matrix imaging mechanism;
  • a field display device is provided on one side of the dot-matrix imaging mechanism, and is
  • a distribution recognition device connected to the area extraction device for receiving the area to be identified and identifying edge points of the area to be identified to obtain the Each edge point in the area to be identified is also used to segment the area to be identified to obtain each to-be-processed area and determine the number of edge points in each to-be-processed area; intelligent enhancement equipment, and The distribution recognition device connection described above is used to receive the number of edge points in each area to be processed The area to be processed whose number of edge points exceeds a preset number threshold is regarded as the area to be enhanced, and the area to be processed whose number of edge points does not exceed the preset number threshold is regarded as other areas; The distribution recognition device is connected to the intelligent enhancement device, and a contrast enhancement process of a corresponding amplitude based on the number of its internal edge points is performed on the area to be enhanced to obtain a processed enhancement area, and a contrast enhancement processing of the same amplitude is performed on other areas to obtain a Processing other
  • the instant display device is further configured to instantly display a blue character string corresponding to the current running time.
  • an automatic fire extinguishing operation is performed on the flame around the electric heater based on the positioning data of the flame target and the size of the flame target.
  • the method includes determining a spraying position of an automatic fire extinguishing operation based on the positioning data of the flame target.
  • an automatic fire extinguishing operation is performed on the flame around the electric heater based on the positioning data of the flame target and the size of the flame target.
  • the method includes: determining an injection intensity of an automatic fire extinguishing operation based on the positioning data of the flame target.
  • the amplitude of the contrast enhancement processing performed on each area to be enhanced is greater than the same amplitude.
  • performing an adaptive filtering process on the edge-enhanced image based on a noise distribution situation in the edge-enhanced image includes: detecting A region with dense noise distribution in the edge-enhanced image is filtered only for the region with dense noise distribution.
  • obtaining each pixel point from the current image as each reference pixel point based on an Archimedes curve includes: Draw the Archimedes curve in the current image with the pixel point in the lower right corner of the current image as the starting position, and use each pixel point that the Archimedes curve passes along the line as each reference pixel point.
  • FIG. 1 is a schematic structural diagram of an electric heater applied to an electric heater fire extinguishing strategy customization mechanism according to an embodiment of the present invention.
  • the present invention sets up a custom mechanism for extinguishing strategies of electric heaters, which can effectively solve the above technical problems.
  • FIG. 1 is a schematic structural diagram of an electric heater applied to an electric heater fire extinguishing strategy customization mechanism according to an embodiment of the present invention.
  • 1 is a parameter display screen
  • 2 is a heat dissipation hole
  • 3 is a base.
  • the timing device is provided on an integrated circuit board in the electric heater, and is used to time the running time of the electric heater as the current running time, and output the current running time;
  • a real-time display device is provided on an integrated circuit board in an electric heater, and is connected to the timing device for receiving the current running time, and when the current running time exceeds the limit, the instant display corresponds to the excessive running information. Red string.
  • the method further includes:
  • a position sensing device is provided on the dot matrix camera mechanism, and is used to detect the current position of the dot matrix camera mechanism and determine a difference between the current position and a preset fixed position, where the difference includes a horizontal direction A change amount and a change amount in the vertical direction, and when the change amount in the horizontal direction changes between a positive value and a negative value, or when the change amount in the vertical direction changes between a positive value and a negative value, a shake sensing signal is issued, otherwise, Non-jitter inductive signal;
  • a dot matrix camera mechanism is used to shoot around the heater, and continuously output multiple images around the heater at a preset frame rate.
  • the method further includes:
  • An image data extraction device which is connected to the dot-matrix imaging mechanism, and is configured to receive two images obtained in sequence from the dot-matrix imaging mechanism as a current image and a subsequent image, and obtain each pixel of the current image A pixel value of a point and a pixel value of each pixel point of the subsequent image.
  • the method further includes:
  • a pixel search device is connected to the image data extraction device and the position sensing device, respectively, for entering a shake detection mode when the shake sensing signal is received, and also for receiving the non-shake sensing when the shake sensing signal is received.
  • the pixel point search device performs the following processing in the shake detection mode: obtaining each pixel point from the current image as each reference pixel point based on an Archimedes curve, The coordinates of each reference pixel point in the current image are used as the corresponding reference coordinates.
  • a pixel value near the reference coordinate is searched from the subsequent image based on its pixel value to be equal to the reference pixel.
  • a pixel point of a point pixel value is taken as a target pixel point corresponding to the reference pixel point, and a coordinate of the target pixel point in the subsequent image is taken as a corresponding target coordinate;
  • An image data analysis device connected to the pixel search device and configured to obtain multiple reference pixels and multiple target pixels corresponding to the multiple reference pixels, respectively, and determine the level of each reference coordinate to its corresponding target coordinate Displacement, average the horizontal displacement of each reference coordinate to obtain the horizontal movement of the image, determine the vertical displacement of each reference coordinate to its corresponding target coordinate, and average the vertical displacement of each reference coordinate to obtain the vertical movement of the image Determine a time shift amount based on the time stamp of the current image and the time stamp of the subsequent time, and calculate the dot matrix camera mechanism based on the time shift amount, the image horizontal shift amount, and the image vertical shift amount Direction vector
  • An on-site display device which is disposed on one side of the dot-matrix camera mechanism and is connected to the image data analysis device, and is configured to receive and display a direction vector of the dot-matrix camera mechanism on-site;
  • An edge enhancement device is connected to the dot-matrix camera mechanism, and is configured to receive an image around the electric heater at the current time, perform edge enhancement processing on the image around the electric heater to obtain a corresponding edge-enhanced image, and output the image.
  • Edge enhancement image
  • An adaptive filtering device connected to the edge enhancement device, configured to receive the edge enhanced image, and perform adaptive filtering processing on the edge enhanced image based on the noise distribution in the edge enhanced image to obtain and output Adaptive filtering image;
  • a first parameter analysis device connected to the adaptive filtering device and configured to receive the adaptive filtered image, and determine that the content of the adaptive filtered image is uniform based on a pixel value distribution of pixels of the adaptive filtered image. Degree, and output the degree of uniformity of the content;
  • a second parameter analysis device configured to receive the adaptively filtered image, determine the clarity of the content of the adaptively filtered image based on a dynamic distribution range of pixel values of pixels of the adaptively filtered image, and output the clearness of the content degree;
  • a third parameter analysis device configured to receive the adaptive filtered image, detect a contrast of the adaptive filtered image, and output the contrast
  • An area extraction device is connected to the first parameter analysis device, the second parameter analysis device, and the third parameter analysis device, respectively, and is configured to receive the content uniformity, the content clarity, and the contrast based on the content
  • the degree of uniformity determines the coefficient of influence on the image segmentation threshold
  • the coefficient of influence on the image segmentation threshold is determined based on the clarity of the content
  • the coefficient of influence on the image segmentation threshold is determined based on the contrast, and is also used based on the
  • the three influence coefficients simultaneously correct the image segmentation threshold, and segment the adaptive filtered image based on the corrected image segmentation threshold to obtain and output the region to be identified that is out of the background;
  • a distribution recognition device which is connected to the region extraction device and is configured to receive the region to be identified, and identify edge points of the region to be identified to obtain each edge point in the region to be identified, and further configured to: Performing area division on the area to be identified to obtain each area to be processed, and determining the number of edge points in each area to be processed;
  • Intelligent enhancement device connected to the distribution recognition device, for receiving the number of edge points in each to-be-processed area, using the to-be-processed area with the number of edge points exceeding a preset number threshold as the to-be-enhanced area, and using the edge point Areas to be processed whose number does not exceed the preset number threshold are regarded as other areas;
  • the targeted enhancement device is connected to the distribution recognition device and the intelligent enhancement device, respectively, and performs a contrast enhancement processing of a corresponding amplitude based on the number of internal edge points of the area to be enhanced to obtain a processed enhanced area, and executes the processing on other areas. Contrast enhancement processing of the same amplitude to obtain processed other areas;
  • An image fitting device connected to the targeted enhancement device and configured to perform fitting processing on each processed enhanced area and each processed other area to obtain a corresponding fitted processed image, and output the fitted processed image ;
  • An image positioning device which is arranged in an electric heater and connected with the image fitting device, and is used for receiving the fitting processing image, identifying a flame target of the fitting processing image based on a preset reference flame shape, and Determining positioning data of the flame target based on a position of a centroid of the flame target in the fitting processing image, and determining a size of the flame target based on an area percentage of the flame target occupying the fitting processing image;
  • An automatic fire extinguishing device which is arranged in an electric heater and connected with the image positioning device, is used to receive positioning data of the flame target and the size of the flame target, and based on the positioning data of the flame target and the flame The size of the target enables an automatic fire extinguishing operation of the flames surrounding the electric heater.
  • the instant display device is further configured to instantly display a blue character string corresponding to the current running time.
  • the automatic fire extinguishing operation for the flame around the electric heater based on the positioning data of the flame target and the size of the flame target includes: The positioning data of the flame target is used to determine the injection position of the automatic fire extinguishing operation.
  • the automatic fire extinguishing operation for the flame around the electric heater based on the positioning data of the flame target and the size of the flame target includes: The flame target positioning data is used to determine the spray intensity of an automatic fire extinguishing operation.
  • the amplitude of the contrast enhancement processing performed on each area to be enhanced is greater than the same amplitude.
  • performing an adaptive filtering process on the edge-enhanced image based on a noise distribution situation in the edge-enhanced image includes detecting the edge enhancement The areas with dense noise distribution in the image are filtered only for the areas with dense noise distribution.
  • acquiring each pixel point from the current image as each reference pixel point based on the Archimedes curve includes: using the current The pixel point in the lower right corner of the image is used as the starting position to draw an Archimedes curve in the current image, and each pixel point that the Archimedes curve passes along the line is used as each reference pixel point.
  • GAL device may be used to implement the image positioning device.
  • Generic array logic device GAL Generic array logic www.husoon.com
  • Representative GAL chips include GAL16V8 and GAL20. These two types of GAL can emulate almost all types of PAL devices. In practical applications, GAL devices are 100% compatible with PAL device simulation, so GAL can almost completely replace PAL devices, and can replace most of the SSI and MSI digital integrated circuits, so they have been widely used.
  • GAL the output structure of GAL can be defined by the user and is a programmable output structure.
  • the output of PAL is defined by the manufacturer. It is fixed after the chip is selected and cannot be changed by the user.

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Abstract

一种电暖器灭火策略定制机构，包括：计时设备，用于计时电暖器的已运行时间以作为当前运行时长，并输出当前运行时长；即时显示设备，设置在电暖器内的集成电路板上，与计时设备连接，用于接收当前运行时长，并在当前运行时长超限时，即时显示与运行过长信息对应的红色字符串；位置传感设备，设置在点阵摄像机构上，用于检测点阵摄像机构的当前位置，并确定当前位置与预设固定位置之间的差值，差值包括水平方向变化量和垂直方向变化量，并在水平方向变化量在正值负值之间变化时或垂直方向变化量在正值负值之间变化时，发出抖动感应信号。该电暖器还具有灭火功能。

Description

电暖器灭火策略定制机构 技术领域
本发明涉及家居设备领域，尤其涉及一种电暖器灭火策略定制机构。
背景技术
电暖气从外观上可以分为油汀式电暖气、暖风机和热辐射型暖气：油汀式电暖气是市场上最为常见的电暖气，常见的外形与家中的暖气片组十分相似；暖风机分为浴室型和非浴室型两种，浴室用暖风机体形小巧，送风力强，升温也很迅速，并采用全封闭式设计，能保证使用时的安全；而房间专用的台、壁式暖风机在外型上很像空调；热辐射型暖气在外形上很像电风扇，只是扇页和后网罩分别被电发热组件和弧形反射器替代了。
发明内容
为了解决电暖器容易引起火灾的技术问题，本发明提供了一种电暖器灭火策略定制机构，在电暖器上建立了自动灭火机制，能够基于所述火焰目标的定位数据确定自动灭火操作的喷射位置，以及基于所述火焰目标的定位数据确定自动灭火操作的喷射强度，其中，先采用位置传感设备判断点阵摄像机构的抖动情况，在确定抖动时再基于前后两幅图像中的像素值搜索结果，准确判断出所述点阵摄像机构的抖动方向和抖动量；针对图像中边缘点的分布情况，对图像的不同区域进行不同幅度的对比度提升，从而方便后续的各种图像处理；对边缘增强后的图像进行只针对所述噪声分布密集的区域进行滤波处理的自适应滤波处理，在滤波效果和滤波运算量之间达到平衡，同时，定制的背景分割模式帮助获取有效的待识别区域。
根据本发明的一方面，提供了一种电暖器灭火策略定制机构，所述机构包括：
计时设备，设置在电暖器内的集成电路板上，用于计时电暖器的已运 行时间以作为当前运行时长，并输出所述当前运行时长；即时显示设备，设置在电暖器内的集成电路板上，与所述计时设备连接，用于接收所述当前运行时长，并在所述当前运行时长超限时，即时显示与运行过长信息对应的红色字符串。
更具体地，在所述电暖器灭火策略定制机构中，还包括：
位置传感设备，设置在点阵摄像机构上，用于检测所述点阵摄像机构的当前位置，并确定所述当前位置与预设固定位置之间的差值，所述差值包括水平方向变化量和垂直方向变化量，并在所述水平方向变化量在正值负值之间变化时或所述垂直方向变化量在正值负值之间变化时，发出抖动感应信号，否则，发出非抖动感应信号；点阵摄像机构，用于对电暖器周围进行拍摄，以预设帧率持续输出多幅电暖器周围图像。
更具体地，在所述电暖器灭火策略定制机构中，还包括：
图像数据抽取设备，与所述点阵摄像机构连接，用于接收从所述点阵摄像机构中获取前后顺序的两幅图像以分别作为当前图像和后续图像，并获取所述当前图像的各个像素点的像素值以及获取所述后续图像的各个像素点的像素值。
更具体地，在所述电暖器灭火策略定制机构中，还包括：
像素点搜索设备，分别与所述图像数据抽取设备和所述位置传感设备连接，用于在接收到所述抖动感应信号时，进入抖动检测模式，还用于在接收到所述非抖动感应信号时，退出所述抖动检测模式；所述像素点搜索设备在所述抖动检测模式中执行以下处理：基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点，每一个参考像素点在所述当前图像中的坐标作为对应的参考坐标，对于每一个参考像素点，基于其像素值从所述后续图像中搜索所述参考坐标附近的像素值等于所述参考像素点像素值的像素点以作为所述参考像素点对应的目标像素点，将所述目标像素点在所述后续图像中的坐标作为对应的目标坐标；图像数据分析设备，与所述像素点搜索设备连接，用于获取多个参考像素点和多个参考像素点分别对应的多个目标像素点，确定每一个参考坐标到其对应的目标坐标的水平位移，对各个参考坐标的各个水平位移求均值以获得图像水平移动量，确定每一个参考坐标到其对应的目标坐标的垂直位移，对各个参 考坐标的各个垂直位移求均值以获得图像垂直移动量，基于所述当前图像的时间戳和所述后续时间的时间戳确定时间移动量，以及基于所述时间移动量、所述图像水平移动量和所述图像垂直移动量计算所述点阵摄像机构的方向矢量；现场显示设备，设置在所述点阵摄像机构的一侧，与所述图像数据分析设备连接，用于接收并现场显示所述点阵摄像机构的方向矢量；边缘强化设备，与所述点阵摄像机构连接，用于接收当前时刻的电暖器周围图像，对所述电暖器周围图像执行边缘强化处理，以获得对应的边缘强化图像，并输出所述边缘强化图像；自适应滤波设备，与所述边缘强化设备连接，用于接收所述边缘强化图像，并对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理，以获得并输出自适应滤波图像；第一参量解析设备，与所述自适应滤波设备连接，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值分布情况确定所述自适应滤波图像的内容均匀程度，并输出所述内容均匀程度；第二参量解析设备，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值动态分布范围确定所述自适应滤波图像的内容清晰程度，并输出所述内容清晰程度；第三参量解析设备，用于接收所述自适应滤波图像，检测所述自适应滤波图像的对比度，并输出所述对比度；区域提取设备，分别与所述第一参量解析设备、第二参量解析设备和第三参量解析设备连接，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对其对图像分割阈值的影响系数，基于所述内容清晰程度确定对其对图像分割阈值的影响系数，基于所述对比度确定对其对图像分割阈值的影响系数，还用于基于所述三种影响系数同时对图像分割阈值进行纠正，并基于纠正后的图像分割阈值对所述自适应滤波图像进行分割，以获得并输出脱离背景的待识别区域；分布情况识别设备，与所述区域提取设备连接，用于接收所述待识别区域，对所述待识别区域进行边缘点的识别，以获得所述待识别区域中的各个边缘点，还用于对所述待识别区域进行区域分割，以获得各个待处理区域，确定每一个待处理区域中的边缘点的数量；智能化增强设备，与所述分布情况识别设备连接，用于接收各个待处理区域中的边缘点的数量，将边缘点的数量超过预设数量阈值的待处理区域作为待增强区域，将边缘点的数量 未超过所述预设数量阈值的待处理区域作为其他区域；针对性增强设备，分别与所述分布情况识别设备和所述智能化增强设备连接，对待增强区域执行基于其内部边缘点数量的相应幅度的对比度提升处理以获得已处理增强区域，对其他区域执行同一幅度的对比度提升处理以获得已处理其他区域；图像拟合设备，与所述针对性增强设备连接，用于将各个已处理增强区域和各个已处理其他区域进行拟合处理，以获得对应的拟合处理图像，并输出所述拟合处理图像；图像定位设备，设置在电暖器内，与所述图像拟合设备连接，用于接收所述拟合处理图像，基于预设的基准火焰形状识别出所述拟合处理图像的火焰目标，并基于火焰目标的形心在所述拟合处理图像中的位置确定所述火焰目标的定位数据，以及基于火焰目标占据所述拟合处理图像的面积百分比确定所述火焰目标的尺寸；自动灭火设备，设置在电暖器内，与所述图像定位设备连接，用于接收所述火焰目标的定位数据和所述火焰目标的尺寸，并基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作。
更具体地，在所述电暖器灭火策略定制机构中：所述即时显示设备还用于即时显示与所述当前运行时长对应的蓝色字符串。
更具体地，在所述电暖器灭火策略定制机构中：在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射位置。
更具体地，在所述电暖器灭火策略定制机构中：在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射强度。
更具体地，在所述电暖器灭火策略定制机构中：对每一个待增强区域执行的对比度提升处理的幅度都大于所述同一幅度。
更具体地，在所述电暖器灭火策略定制机构中：在所述自适应滤波设备中，对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理包括：检测所述边缘强化图像中噪声分布密集的区域，只针对所述噪声分布密集的区域进行滤波处理。
更具体地，在所述电暖器灭火策略定制机构中：在所述像素点搜索设备中，基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点包括：以所述当前图像右下角像素点为起始位置在所述当前图像中画出阿基米德曲线，并将阿基米德曲线沿线经过的各个像素点作为各个参考像素点。
附图说明
以下将结合附图对本发明的实施方案进行描述，其中：
图1为根据本发明实施方案示出的电暖器灭火策略定制机构所应用的电暖器的结构示意图。
具体实施方式
下面将参照附图对本发明的电暖器灭火策略定制机构的实施方案进行详细说明。
电暖气的畅销源于它的众多优点：由于电是清洁能源，所以对流式电暖气无排放、无污染、无噪音，环保性突出；它使用方便，通电即热、断电即停，即使是在有集中供热的北方，电暖气也可辅助供暖。有的智能机型还能定时、定温，可在各个房间自由移动、调节；他高效节能，电能转化率在99％以上，热能利用率更高达100％，能最大限度节约能源；它的购买和运行费用都比较低，计量收费，没有集中供暖收费难的问题。
为了克服上述不足，本发明搭建了一种电暖器灭火策略定制机构，能够有效解决上述技术问题。
图1为根据本发明实施方案示出的电暖器灭火策略定制机构所应用的电暖器的结构示意图。其中，1为参数显示屏，2为散热孔，3为底座。
根据本发明实施方案示出的电暖器灭火策略定制机构包括：
计时设备，设置在电暖器内的集成电路板上，用于计时电暖器的已运行时间以作为当前运行时长，并输出所述当前运行时长；
即时显示设备，设置在电暖器内的集成电路板上，与所述计时设备连接，用于接收所述当前运行时长，并在所述当前运行时长超限时，即时显示与运行过长信息对应的红色字符串。
接着，继续对本发明的电暖器灭火策略定制机构的具体结构进行进一步的说明。
在所述电暖器灭火策略定制机构中，还包括：
位置传感设备，设置在点阵摄像机构上，用于检测所述点阵摄像机构的当前位置，并确定所述当前位置与预设固定位置之间的差值，所述差值包括水平方向变化量和垂直方向变化量，并在所述水平方向变化量在正值负值之间变化时或所述垂直方向变化量在正值负值之间变化时，发出抖动感应信号，否则，发出非抖动感应信号；
点阵摄像机构，用于对电暖器周围进行拍摄，以预设帧率持续输出多幅电暖器周围图像。
在所述电暖器灭火策略定制机构中，还包括：
图像数据抽取设备，与所述点阵摄像机构连接，用于接收从所述点阵摄像机构中获取前后顺序的两幅图像以分别作为当前图像和后续图像，并获取所述当前图像的各个像素点的像素值以及获取所述后续图像的各个像素点的像素值。
在所述电暖器灭火策略定制机构中，还包括：
像素点搜索设备，分别与所述图像数据抽取设备和所述位置传感设备连接，用于在接收到所述抖动感应信号时，进入抖动检测模式，还用于在接收到所述非抖动感应信号时，退出所述抖动检测模式；所述像素点搜索设备在所述抖动检测模式中执行以下处理：基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点，每一个参考像素点在所述当前图像中的坐标作为对应的参考坐标，对于每一个参考像素点，基于其像素值从所述后续图像中搜索所述参考坐标附近的像素值等于所述参考像素点像素值的像素点以作为所述参考像素点对应的目标像素点，将所述目标像素点在所述后续图像中的坐标作为对应的目标坐标；
图像数据分析设备，与所述像素点搜索设备连接，用于获取多个参考像素点和多个参考像素点分别对应的多个目标像素点，确定每一个参考坐标到其对应的目标坐标的水平位移，对各个参考坐标的各个水平位移求均值以获得图像水平移动量，确定每一个参考坐标到其对应的目标坐标的垂直位移，对各个参考坐标的各个垂直位移求均值以获得图像垂直移动量， 基于所述当前图像的时间戳和所述后续时间的时间戳确定时间移动量，以及基于所述时间移动量、所述图像水平移动量和所述图像垂直移动量计算所述点阵摄像机构的方向矢量；
现场显示设备，设置在所述点阵摄像机构的一侧，与所述图像数据分析设备连接，用于接收并现场显示所述点阵摄像机构的方向矢量；
边缘强化设备，与所述点阵摄像机构连接，用于接收当前时刻的电暖器周围图像，对所述电暖器周围图像执行边缘强化处理，以获得对应的边缘强化图像，并输出所述边缘强化图像；
自适应滤波设备，与所述边缘强化设备连接，用于接收所述边缘强化图像，并对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理，以获得并输出自适应滤波图像；
第一参量解析设备，与所述自适应滤波设备连接，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值分布情况确定所述自适应滤波图像的内容均匀程度，并输出所述内容均匀程度；
第二参量解析设备，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值动态分布范围确定所述自适应滤波图像的内容清晰程度，并输出所述内容清晰程度；
第三参量解析设备，用于接收所述自适应滤波图像，检测所述自适应滤波图像的对比度，并输出所述对比度；
区域提取设备，分别与所述第一参量解析设备、第二参量解析设备和第三参量解析设备连接，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对其对图像分割阈值的影响系数，基于所述内容清晰程度确定对其对图像分割阈值的影响系数，基于所述对比度确定对其对图像分割阈值的影响系数，还用于基于所述三种影响系数同时对图像分割阈值进行纠正，并基于纠正后的图像分割阈值对所述自适应滤波图像进行分割，以获得并输出脱离背景的待识别区域；
分布情况识别设备，与所述区域提取设备连接，用于接收所述待识别区域，对所述待识别区域进行边缘点的识别，以获得所述待识别区域中的各个边缘点，还用于对所述待识别区域进行区域分割，以获得各个待处理区域，确定每一个待处理区域中的边缘点的数量；
智能化增强设备，与所述分布情况识别设备连接，用于接收各个待处理区域中的边缘点的数量，将边缘点的数量超过预设数量阈值的待处理区域作为待增强区域，将边缘点的数量未超过所述预设数量阈值的待处理区域作为其他区域；
针对性增强设备，分别与所述分布情况识别设备和所述智能化增强设备连接，对待增强区域执行基于其内部边缘点数量的相应幅度的对比度提升处理以获得已处理增强区域，对其他区域执行同一幅度的对比度提升处理以获得已处理其他区域；
图像拟合设备，与所述针对性增强设备连接，用于将各个已处理增强区域和各个已处理其他区域进行拟合处理，以获得对应的拟合处理图像，并输出所述拟合处理图像；
图像定位设备，设置在电暖器内，与所述图像拟合设备连接，用于接收所述拟合处理图像，基于预设的基准火焰形状识别出所述拟合处理图像的火焰目标，并基于火焰目标的形心在所述拟合处理图像中的位置确定所述火焰目标的定位数据，以及基于火焰目标占据所述拟合处理图像的面积百分比确定所述火焰目标的尺寸；
自动灭火设备，设置在电暖器内，与所述图像定位设备连接，用于接收所述火焰目标的定位数据和所述火焰目标的尺寸，并基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作。
在所述电暖器灭火策略定制机构中：所述即时显示设备还用于即时显示与所述当前运行时长对应的蓝色字符串。
在所述电暖器灭火策略定制机构中：在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射位置。
在所述电暖器灭火策略定制机构中：在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射强度。
在所述电暖器灭火策略定制机构中：对每一个待增强区域执行的对比度提升处理的幅度都大于所述同一幅度。
在所述电暖器灭火策略定制机构中：在所述自适应滤波设备中，对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理包括：检测所述边缘强化图像中噪声分布密集的区域，只针对所述噪声分布密集的区域进行滤波处理。
以及在所述电暖器灭火策略定制机构中：在所述像素点搜索设备中，基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点包括：以所述当前图像右下角像素点为起始位置在所述当前图像中画出阿基米德曲线，并将阿基米德曲线沿线经过的各个像素点作为各个参考像素点。
另外，在所述电暖器灭火策略定制机构中：可采用GAL器件来实现所述图像定位设备。通用阵列逻辑器件GAL(Generic Array Logic www.husoon.com)器件是1985年LATTICE公司最先发明的可电擦除、可编程、可设置加密位的PLD。具有代表性的GAL芯片有GAL16V8、GAL20，这两种GAL几乎能够仿真所有类型的PAL器件。实际应用中，GAL器件对PAL器件仿真具有100％的兼容性，所以GAL几乎可以全代替PAL器件，并可取代大部分SSI、MSI数字集成电路，因而获得广泛应用。
GAL和PAL的最大差别在于GAL的输出结构可由用户定义，是一种可编程的输出结构。GAL的两种基本型号GAL16V8(20引脚)GAL20V8(24引脚)可代替树十种PAL器件，因而称为痛用可编程电路。而PAL的输出是由厂家定义好的，芯片选定后就固定了，用户无法改变。
采用本发明的电暖器灭火策略定制机构，针对现有技术中电暖器无法自行灭火的技术问题，通过在电暖器上建立了自动灭火机制，能够基于所述火焰目标的定位数据确定自动灭火操作的喷射位置，以及基于所述火焰目标的定位数据确定自动灭火操作的喷射强度，其中，先采用位置传感设备判断点阵摄像机构的抖动情况，在确定抖动时再基于前后两幅图像中的像素值搜索结果，准确判断出所述点阵摄像机构的抖动方向和抖动量；针对图像中边缘点的分布情况，对图像的不同区域进行不同幅度的对比度提升，从而方便后续的各种图像处理；对边缘增强后的图像进行只针对所述 噪声分布密集的区域进行滤波处理的自适应滤波处理，在滤波效果和滤波运算量之间达到平衡，同时，定制的背景分割模式帮助获取有效的待识别区域，从而解决了上述技术问题。
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。

Claims (10)

  1. 一种电暖器灭火策略定制机构，所述机构包括：
    计时设备，设置在电暖器内的集成电路板上，用于计时电暖器的已运行时间以作为当前运行时长，并输出所述当前运行时长；
    即时显示设备，设置在电暖器内的集成电路板上，与所述计时设备连接，用于接收所述当前运行时长，并在所述当前运行时长超限时，即时显示与运行过长信息对应的红色字符串。
  2. 如权利要求1所述的电暖器灭火策略定制机构，其特征在于，所述机构还包括：
    位置传感设备，设置在点阵摄像机构上，用于检测所述点阵摄像机构的当前位置，并确定所述当前位置与预设固定位置之间的差值，所述差值包括水平方向变化量和垂直方向变化量，并在所述水平方向变化量在正值负值之间变化时或所述垂直方向变化量在正值负值之间变化时，发出抖动感应信号，否则，发出非抖动感应信号；
    点阵摄像机构，用于对电暖器周围进行拍摄，以预设帧率持续输出多幅电暖器周围图像。
  3. 如权利要求2所述的电暖器灭火策略定制机构，其特征在于，所述机构还包括：
    图像数据抽取设备，与所述点阵摄像机构连接，用于接收从所述点阵摄像机构中获取前后顺序的两幅图像以分别作为当前图像和后续图像，并获取所述当前图像的各个像素点的像素值以及获取所述后续图像的各个像素点的像素值。
  4. 如权利要求3所述的电暖器灭火策略定制机构，其特征在于，所述机构还包括：
    像素点搜索设备，分别与所述图像数据抽取设备和所述位置传感设备连接，用于在接收到所述抖动感应信号时，进入抖动检测模式，还用于在 接收到所述非抖动感应信号时，退出所述抖动检测模式；所述像素点搜索设备在所述抖动检测模式中执行以下处理：基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点，每一个参考像素点在所述当前图像中的坐标作为对应的参考坐标，对于每一个参考像素点，基于其像素值从所述后续图像中搜索所述参考坐标附近的像素值等于所述参考像素点像素值的像素点以作为所述参考像素点对应的目标像素点，将所述目标像素点在所述后续图像中的坐标作为对应的目标坐标；
    图像数据分析设备，与所述像素点搜索设备连接，用于获取多个参考像素点和多个参考像素点分别对应的多个目标像素点，确定每一个参考坐标到其对应的目标坐标的水平位移，对各个参考坐标的各个水平位移求均值以获得图像水平移动量，确定每一个参考坐标到其对应的目标坐标的垂直位移，对各个参考坐标的各个垂直位移求均值以获得图像垂直移动量，基于所述当前图像的时间戳和所述后续时间的时间戳确定时间移动量，以及基于所述时间移动量、所述图像水平移动量和所述图像垂直移动量计算所述点阵摄像机构的方向矢量；
    现场显示设备，设置在所述点阵摄像机构的一侧，与所述图像数据分析设备连接，用于接收并现场显示所述点阵摄像机构的方向矢量；
    边缘强化设备，与所述点阵摄像机构连接，用于接收当前时刻的电暖器周围图像，对所述电暖器周围图像执行边缘强化处理，以获得对应的边缘强化图像，并输出所述边缘强化图像；
    自适应滤波设备，与所述边缘强化设备连接，用于接收所述边缘强化图像，并对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理，以获得并输出自适应滤波图像；
    第一参量解析设备，与所述自适应滤波设备连接，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值分布情况确定所述自适应滤波图像的内容均匀程度，并输出所述内容均匀程度；
    第二参量解析设备，用于接收所述自适应滤波图像，基于所述自适应滤波图像的像素点的像素值动态分布范围确定所述自适应滤波图像的内容清晰程度，并输出所述内容清晰程度；
    第三参量解析设备，用于接收所述自适应滤波图像，检测所述自适应 滤波图像的对比度，并输出所述对比度；
    区域提取设备，分别与所述第一参量解析设备、第二参量解析设备和第三参量解析设备连接，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对其对图像分割阈值的影响系数，基于所述内容清晰程度确定对其对图像分割阈值的影响系数，基于所述对比度确定对其对图像分割阈值的影响系数，还用于基于所述三种影响系数同时对图像分割阈值进行纠正，并基于纠正后的图像分割阈值对所述自适应滤波图像进行分割，以获得并输出脱离背景的待识别区域；
    分布情况识别设备，与所述区域提取设备连接，用于接收所述待识别区域，对所述待识别区域进行边缘点的识别，以获得所述待识别区域中的各个边缘点，还用于对所述待识别区域进行区域分割，以获得各个待处理区域，确定每一个待处理区域中的边缘点的数量；
    智能化增强设备，与所述分布情况识别设备连接，用于接收各个待处理区域中的边缘点的数量，将边缘点的数量超过预设数量阈值的待处理区域作为待增强区域，将边缘点的数量未超过所述预设数量阈值的待处理区域作为其他区域；
    针对性增强设备，分别与所述分布情况识别设备和所述智能化增强设备连接，对待增强区域执行基于其内部边缘点数量的相应幅度的对比度提升处理以获得已处理增强区域，对其他区域执行同一幅度的对比度提升处理以获得已处理其他区域；
    图像拟合设备，与所述针对性增强设备连接，用于将各个已处理增强区域和各个已处理其他区域进行拟合处理，以获得对应的拟合处理图像，并输出所述拟合处理图像；
    图像定位设备，设置在电暖器内，与所述图像拟合设备连接，用于接收所述拟合处理图像，基于预设的基准火焰形状识别出所述拟合处理图像的火焰目标，并基于火焰目标的形心在所述拟合处理图像中的位置确定所述火焰目标的定位数据，以及基于火焰目标占据所述拟合处理图像的面积百分比确定所述火焰目标的尺寸；
    自动灭火设备，设置在电暖器内，与所述图像定位设备连接，用于接收所述火焰目标的定位数据和所述火焰目标的尺寸，并基于所述火焰目标 的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作。
  5. 如权利要求4所述的电暖器灭火策略定制机构，其特征在于：
    所述即时显示设备还用于即时显示与所述当前运行时长对应的蓝色字符串。
  6. 如权利要求5所述的电暖器灭火策略定制机构，其特征在于：
    在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射位置。
  7. 如权利要求6所述的电暖器灭火策略定制机构，其特征在于：
    在所述自动灭火设备中，基于所述火焰目标的定位数据和所述火焰目标的尺寸实现对电暖器周围火焰的自动灭火操作包括：基于所述火焰目标的定位数据确定自动灭火操作的喷射强度。
  8. 如权利要求7所述的电暖器灭火策略定制机构，其特征在于：
    对每一个待增强区域执行的对比度提升处理的幅度都大于所述同一幅度。
  9. 如权利要求8所述的电暖器灭火策略定制机构，其特征在于：
    在所述自适应滤波设备中，对所述边缘强化图像执行基于所述边缘强化图像内噪声分布情况的自适应滤波处理包括：检测所述边缘强化图像中噪声分布密集的区域，只针对所述噪声分布密集的区域进行滤波处理。
  10. 如权利要求9所述的电暖器灭火策略定制机构，其特征在于：
    在所述像素点搜索设备中，基于阿基米德曲线从所述当前图像中获取各个像素点以作为各个参考像素点包括：以所述当前图像右下角像素点为起始位置在所述当前图像中画出阿基米德曲线，并将阿基米德曲线沿线经 过的各个像素点作为各个参考像素点。
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CN118101857A (zh) * 2024-02-27 2024-05-28 广州得生环保科技有限公司 图像信号动态滤波系统

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