CN117949143B - Door and window leakage detection and feedback system and method - Google Patents
Door and window leakage detection and feedback system and method Download PDFInfo
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Abstract
The invention relates to the technical field of door and window leakage detection, and provides a door and window leakage detection and feedback system and a method, wherein the system comprises the following steps: the data acquisition module acquires infrared image data and image correction data; the image processing module is used for carrying out image contrast correction on the infrared image data according to the image correction data; the seepage detection module is used for identifying seepage pixel points and dividing a seepage region and a non-seepage region; and the detection feedback module is used for generating detection feedback information according to the leakage area. According to the invention, the infrared image of the target detection door and window is corrected by collecting the image correction data, the influence of the light interference on the door and window is considered, the leakage detection infrared image capable of representing the accurate temperature of the target detection door and window in real time is obtained, the accurate detection of the leakage point position of the target detection door and window is realized by utilizing the infrared image, the data support can be provided for door and window maintenance and nursing, door and window structure improvement promotion and door and window installation process further optimization, the iterative updating of products is facilitated, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of door and window leakage detection, in particular to a door and window leakage detection and feedback system and a door and window leakage detection and feedback method.
Background
The door and window is an important component of a building, and the waterproof performance of the door and window has a crucial influence on indoor environment and life quality. Generally, the door and window is waterproof through joint strip, glass glues and other waterproof construction's use or setting, but when face installation nonstandard, service life is long to lead to the situation such as waterproof component ageing or strong wind storm, appear door and window infiltration phenomenon easily for indoor moist, breed mould, furniture ageing are accelerated and influence door and window life scheduling problem appear, seriously influence user's door and window use experience, consequently, have better market prospect and research and development demand to the detection research of door and window seepage.
However, the existing door and window leakage detection is generally only used for detecting the door and window structure in the door and window production process and detecting the door and window sealing after the door and window is installed, and cannot be used for effectively detecting the door and window leakage caused by ageing of the waterproof component due to different actual use scenes and different use time periods in the door and window use process.
Disclosure of Invention
To solve the above-mentioned problems of the prior art, a first aspect of the present invention provides a door and window leakage detection and feedback system, including:
the data acquisition module is configured to acquire door and window leakage detection data acquired by the leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
The image processing module is configured to carry out image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
The seepage detection module is configured to identify seepage pixel points in the seepage detection infrared image, and divide a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
And the detection feedback module is configured to generate detection feedback information according to the target detection window region in the door window.
Optionally, the leak detection data collection device includes:
The infrared image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire infrared image data when the target detection door window is in a leakage environment condition;
And the correction parameter acquisition device is configured to acquire the image correction parameters of the target detection door and window.
Optionally, the correction parameter collecting device includes: the visible light image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire visible light image data when the target detection door window is in a leakage environment condition;
the image processing module specifically comprises:
a door and window frame extraction unit configured to extract a door and window frame region in the infrared image data and the visible light image data;
a luminance value extraction unit configured to extract a luminance value of each pixel point of a window frame region in the visible light image data;
And the image correction unit is configured to generate image correction data of the target detection door window for each pixel point according to the brightness value of each pixel point, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image.
Optionally, the image correction unit specifically includes:
A correction parameter generation subunit configured to match, according to a target value gap relation between a luminance value of each pixel point and a standard luminance value, image correction data corresponding to the target value gap relation in a first mapping comparison table of the value gap relation and the image correction data;
and the image correction unit is configured to respectively carry out image contrast correction on each corresponding pixel point in the door and window frame region of the infrared image data by taking the image correction data of each pixel point in the door and window frame region of the visible light image data as a contrast conversion index to obtain a leakage detection infrared image.
Optionally, the correction parameter collecting device includes: the light intensity acquisition assembly comprises a plurality of light intensity acquisition pieces which are arranged in different position areas of a frame of the target detection door window, and the light intensity acquisition pieces are configured to acquire illumination intensity values of the different position areas of the frame when the target detection door window is in a leakage environment condition;
the image processing module specifically comprises:
A door and window frame extraction unit configured to extract a door and window frame region of the infrared image data;
The image correction unit is configured to generate image correction data of the target detection door window in each position area according to the illumination intensity value of each position area, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image.
Optionally, the image correction unit specifically includes:
The correction parameter generation subunit is configured to match image correction data corresponding to the target value difference relation in a second mapping comparison table of the value difference relation and the image correction data according to the target value difference relation between the illumination intensity value of each position area and the standard illumination intensity value;
And the image correction unit is configured to respectively carry out image contrast correction on each position area in the door and window frame area of the infrared image data by taking the image correction data of each position area in the door and window frame area as a contrast conversion index of the corresponding position area, so as to obtain a leakage detection infrared image.
Optionally, performing an expression for image contrast correction, specifically;
where s is a pixel value after contrast correction, r is a pixel value of the infrared image data, c is a constant, and γ is a contrast conversion index.
Optionally, the leakage detection module specifically includes:
A gradation processing unit configured to gradation-process each image pixel point in the leak detection infrared image;
the leakage pixel point judging unit is configured to judge whether each image pixel point in the leakage detection infrared image is a leakage pixel point or not according to the gray actual value and the gray threshold value of the image pixel point;
the leakage pixel points are target pixel points with gray actual values lower than a gray threshold value and gray actual values of all adjacent pixel points lower than the gray threshold value, and the gray threshold value is a standard gray value obtained by collecting infrared images of a standard door and window frame and performing gray processing;
the leakage area dividing unit is configured to divide an area formed by each leakage pixel point in the leakage detection infrared image into leakage areas and divide the remaining area into non-leakage areas.
Optionally, the detection feedback module specifically includes:
A gray contour map construction unit configured to construct a gray contour map on the leakage region according to gray actual values of each leakage pixel point in the leakage region;
The leakage point position determining unit is configured to extract a plurality of reference leakage pixel points uniformly distributed along the edge of the leakage region, generate leakage point position indication lines which are connected with the corresponding reference leakage pixel points and are perpendicular to a first gray contour line close to the outer side on the gray contour map, update intersection points of the leakage point position indication lines and a second gray contour line close to the outer side as the reference leakage pixel points, repeat the process of updating the leakage point position indication lines to the reference leakage pixel points until a plurality of target leakage point position indication lines which are connected with the first gray contour line close to the inner side are obtained, determine a target leakage pixel point nearest to each target leakage point position indication line in the region range close to the first gray contour line of the inner side, and extract the position coordinates of the target leakage pixel points;
And the detection feedback unit is configured to feed back the position coordinates of the leakage area and the target leakage pixel point corresponding to the target detection door window to a user.
In order to solve the above-mentioned problems in the prior art, a second aspect of the present invention provides a door and window leakage detection and feedback method, including:
s1: acquiring door and window leakage detection data acquired by leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
s2: performing image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
S3: identifying seepage pixel points in the seepage detection infrared image, and dividing a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
S4: and generating detection feedback information according to the target detection window region in the door and window.
The invention has the beneficial effects that: the infrared image of the target detection door and window is corrected by collecting image correction data, the influence of light interference on the door and window is considered, the infrared image of the target detection door and window, which can represent the accurate temperature of the target detection door and window in real time, is obtained, the accurate detection of the position of a leakage point of the target detection door and window is realized by utilizing the infrared image, data support can be provided for maintenance and nursing of the door and window and improvement of a door and window pushing structure and further optimization of a door and window mounting process, iterative updating of products is facilitated, and user experience is improved.
Drawings
Fig. 1 is a schematic structural diagram of a door and window leakage detection and feedback system according to the present embodiment;
Fig. 2 is a flow chart of a door and window leakage detection and feedback method according to the present embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
Referring to fig. 1, fig. 1 is a schematic structural diagram of a door and window leakage detection and feedback system according to an embodiment of the present invention.
As shown in fig. 1, a door and window leakage detection and feedback system includes: a data acquisition module 10, wherein the data acquisition module 10 is configured to acquire door and window leakage detection data acquired by leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data; an image processing module 20, wherein the image processing module 20 is configured to perform image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image; a leak detection module 30, wherein the leak detection module 30 is configured to identify leak pixel points in the leak detection infrared image, and divide a target detection door window into a leak region and a non-leak region according to the leak pixel points; and the detection feedback module 40 is configured to generate detection feedback information according to the target detection window region in the door and window.
It should be noted that, current door and window leak detection only carries out door and window structure detection and door and window seal inspection after door and window installation in door and window production process generally, can't carry out effectual detection to the door and window seepage that the waterproof component ageing that leads to when different actual use scenes and different use time length in door and window use, because can't be accurate confirm seepage source, and then can't realize the improvement to door and window maintenance nursing and promotion door and window structure and the further optimization of door and window installation technology, influence user's door and window use experience. In order to solve the above problems, the present embodiment adopts a leak detection data acquisition device to acquire infrared image data and image correction data of a target detection door and window; the infrared image data are used for representing real-time temperature thermal imaging information of the target detection door and window in the using process, on one hand, the temperature thermal imaging information is utilized to visually display the temperature drop characteristic of a local area caused by rainwater leakage in a door and window structure, and then the target detection door and window is divided into a leakage area and a non-leakage area by distinguishing whether each leakage pixel point meets a leakage condition or not, and then the leakage area is fed back to a user or a manufacturer as a detection result, so that the user can maintain and care the door and window according to the door and window leakage detection result, the manufacturer can improve the door and window structure according to the door and window leakage detection result and further optimize the door and window installation process, the iterative updating of products is facilitated, and the user using experience is improved; on the other hand, considering that the infrared image data acquisition aiming at the target detection door and window can be interfered by outdoor light due to the installation position and functional specificity of the door and window, the infrared images acquired under the environments with different brightness or different illumination intensities have different image contrast characteristics, so that the accuracy of identifying leakage pixel points through the infrared images is affected.
In this embodiment, leak detection is achieved based on infrared images based on the principle: the existing doors and windows are generally aluminum alloy doors and windows, the aluminum alloy doors and windows have good heat transfer and heat conduction performance, and the existing doors and windows are only the rainstorm time sections in summer, and are the time sections in which the doors and windows are more prone to leakage. In summer, the temperature of the aluminum alloy door and window is higher due to heat conduction, when leakage occurs, namely rainwater appears at the edge of the aluminum alloy door frame, the specific heat capacity of the water is large, and the temperature of the part with the rainwater invasion is low, so that the specific part with the leakage can be determined based on the infrared image.
In a preferred embodiment, the leak detection data collection device comprises: the infrared image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire infrared image data when the target detection door window is in a leakage environment condition; and the correction parameter acquisition device is configured to acquire the image correction parameters of the target detection door and window.
In practical application, the leakage detection data acquisition device comprises an infrared image acquisition device (such as a thermal imager) and a correction parameter acquisition device (such as a visible light image acquisition device or a light intensity acquisition component), the infrared image acquisition device is arranged on the indoor side to acquire infrared image data of a target detection door and window, and then the correction parameter acquired by the correction parameter acquisition device is used for carrying out image contrast correction on the infrared image data, so that the acquired infrared image can filter out the influence of changing the image contrast caused by outdoor light irradiation, the truest and accurate infrared image data can be obtained, and the door and window leakage detection accuracy and positioning accuracy can be improved.
In one embodiment, the correction parameter collecting device includes: the visible light image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire visible light image data when the target detection door window is in a leakage environment condition. On the basis, the image processing module specifically comprises: a door and window frame extraction unit configured to extract a door and window frame region in the infrared image data and the visible light image data; a luminance value extraction unit configured to extract a luminance value of each pixel point of a window frame region in the visible light image data; and the image correction unit is configured to generate image correction data of the target detection door window for each pixel point according to the brightness value of each pixel point, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image.
The image correction unit specifically includes: a correction parameter generation subunit configured to match, according to a target value gap relation between a luminance value of each pixel point and a standard luminance value, image correction data corresponding to the target value gap relation in a first mapping comparison table of the value gap relation and the image correction data; and the image correction unit is configured to respectively carry out image contrast correction on each corresponding pixel point in the door and window frame region of the infrared image data by taking the image correction data of each pixel point in the door and window frame region of the visible light image data as a contrast conversion index to obtain a leakage detection infrared image.
In this embodiment, the correction parameter acquisition device adopts a visible light image acquisition device (for example, a camera arranged indoors and used for shooting the target detection door and window) for acquiring the visible light image data of the target detection door and window when the target detection door and window is in a leakage environment condition, so that the visible light image acquisition device acquires the visible light image of the target detection door and window, and then the template matching is performed by adopting a normalization correlation coefficient matching method on the basis of MATCHTEMPLATE libraries provided by using Opencv through the template size data by acquiring the pre-input template size data, the infrared image data and the door and window frame region (namely, the ROI region of interest) in the visible light image data are identified, other data are removed, the processing image data are reserved, the processing speed of a processor is improved, and the problems that the interference of other data (for example, wall infrared image data outside the door and window frame) further influences the accuracy of door and window leakage detection and positioning accuracy are also prevented. And then, extracting the brightness value of each pixel point of the window and door frame region in the visible light image data, matching the corresponding image correction data under the current brightness scene in a first mapping comparison table of the numerical difference relation and the image correction data (namely the contrast conversion index gamma) according to the target numerical difference relation between the brightness value of each pixel point and the standard brightness value, and carrying out image contrast correction on each corresponding pixel point in the infrared image by utilizing the brightness value of each pixel point in the visible light image according to the comparison relation between the pixels to obtain the infrared image data for filtering out the image contrast change caused by the irradiation of outdoor light, so that the infrared image data for carrying out the window and door leakage detection is closer to the actual data.
In another embodiment, the correction parameter collecting device includes: the light intensity acquisition assembly comprises a plurality of light intensity acquisition pieces which are arranged in different position areas of a frame of the target detection door window, and the light intensity acquisition pieces are configured to acquire illumination intensity values of the different position areas of the frame when the target detection door window is in a leakage environment condition; the image processing module specifically comprises: a door and window frame extraction unit configured to extract a door and window frame region of the infrared image data; the image correction unit is configured to generate image correction data of the target detection door window in each position area according to the illumination intensity value of each position area, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image.
The image correction unit specifically includes: the correction parameter generation subunit is configured to match image correction data corresponding to the target value difference relation in a second mapping comparison table of the value difference relation and the image correction data according to the target value difference relation between the illumination intensity value of each position area and the standard illumination intensity value; and the image correction unit is configured to respectively carry out image contrast correction on each position area in the door and window frame area of the infrared image data by taking the image correction data of each position area in the door and window frame area as a contrast conversion index of the corresponding position area, so as to obtain a leakage detection infrared image.
In this embodiment, the correction parameter collecting device adopts a light intensity collecting component (for example, a light intensity detector disposed on a frame of the target detection door and window) to collect light intensity values of different position areas of the frame when the target detection door and window is in a leakage environment condition, so that the light intensity collecting component collects light intensity values of the target detection door and window, and then obtains pre-input size data of a door and window frame template, and on the basis of MATCHTEMPLATE library provided by Opencv through the size data of the template, a normalization correlation coefficient matching method is adopted to perform template matching, so that a door and window frame area (i.e., an ROI area of interest) in the infrared image data is identified, further other data are removed, the processing image data is retained, the processing speed of the processor is improved, and the problem that the leakage detection accuracy and positioning accuracy of the door and window are further affected by interference of other data (for example, wall infrared image data outside the door and window frame) is also prevented. And then, according to the target numerical value gap relation between the illumination intensity value of each position area and the standard illumination intensity value, matching the corresponding image correction data under the current illumination intensity scene in a second mapping comparison table of the numerical value gap relation and the image correction data (namely the contrast conversion index gamma), so that the acquired illumination intensity value of each position area is utilized to carry out image contrast correction on each corresponding position area in the infrared image according to the comparison relation between the areas, and the infrared image data for filtering out the image contrast changed due to outdoor light irradiation is obtained, so that the infrared image data for carrying out door and window leakage detection is closer to actual data.
In a preferred embodiment, an expression for image contrast correction is performed, specifically;
where s is a pixel value after contrast correction, r is a pixel value of the infrared image data, c is a constant, and γ is a contrast conversion index.
In this embodiment, considering that the door and window is easily interfered by light, the change of illumination changes the contrast of the image while changing the brightness of the image, and when the image is corrected by using the image correction data, the contrast of the image is adjusted by gamma change, so as to change the brightness difference between different pixel colors in the image, so that the infrared image data after the contrast correction is closer to the real data. The gamma is contrast conversion index, that is, image correction data generated by matching the collected brightness value or the collected illumination intensity value of the image in the embodiment, when the gamma value is larger than 1, the resolution of bright color is increased, the whole image is darkened, and when the gamma value is smaller than 1, the resolution of dark color is increased, and the whole image is darkened; the contrast conversion index most suitable for the current light irradiation scene can be found by utilizing the collected brightness value or illumination intensity value in the actual detection by generating a first mapping comparison table of the numerical value gap relation and the image correction data (namely the contrast conversion index gamma) or a second mapping comparison table of the numerical value gap relation and the image correction data (namely the contrast conversion index gamma), so that the infrared image influenced by the light irradiation is updated into a real infrared image.
In a preferred embodiment, the leak detection module specifically comprises: a gradation processing unit configured to gradation-process each image pixel point in the leak detection infrared image; the leakage pixel point judging unit is configured to judge whether each image pixel point in the leakage detection infrared image is a leakage pixel point or not according to the gray actual value and the gray threshold value of the image pixel point; the leakage pixel points are target pixel points with gray actual values lower than a gray threshold value and gray actual values of all adjacent pixel points lower than the gray threshold value, and the gray threshold value is a standard gray value obtained by collecting infrared images of a standard door and window frame and performing gray processing; the leakage area dividing unit is configured to divide an area formed by each leakage pixel point in the leakage detection infrared image into leakage areas and divide the remaining area into non-leakage areas.
In this embodiment, after an infrared image of a target detection door and window is obtained and subjected to contrast correction, a leak detection infrared image capable of truly representing temperature thermal imaging information of the target detection door and window in an actual scene is obtained, and by performing gray processing on each image pixel in the infrared image (the gray processing can perform gray processing on the image pixel by a logarithmic transformation algorithm), a pixel with a gray actual value smaller than a gray threshold can be defined as a leak pixel according to a comparison result of the gray actual value of each image pixel and the gray threshold. The gray threshold is a standard gray value obtained by collecting infrared images of a standard door and window frame (namely, the door and window frame not under the seepage environment condition) for gray processing, the temperature of the area is lower than that of an un-seepage area due to the seepage influence of the seepage area (namely, the gray actual value of the seepage area is lower than that of the non-seepage area), therefore, the area formed by pixel points with the gray actual value lower than the gray threshold is divided into a seepage area, and the rest areas are divided into non-seepage areas. Meanwhile, in consideration of signal errors of images acquired by the infrared image acquisition device, the gray value judgment of adjacent pixel points is further increased; specifically, the leakage pixel point is a target pixel point with a gray actual value lower than a gray threshold value and gray actual values of all adjacent pixel points lower than the gray threshold value, so that leakage point judgment errors caused by signal noise points due to signal errors are avoided, and the leakage detection accuracy is improved.
Further, the detection feedback module specifically includes: a gray contour map construction unit configured to construct a gray contour map on the leakage region according to gray actual values of each leakage pixel point in the leakage region; the leakage point position determining unit is configured to extract a plurality of reference leakage pixel points uniformly distributed along the edge of the leakage region, generate leakage point position indication lines which are connected with the corresponding reference leakage pixel points and are perpendicular to a first gray contour line close to the outer side on the gray contour map, update intersection points of the leakage point position indication lines and a second gray contour line close to the outer side as the reference leakage pixel points, repeat the process of updating the leakage point position indication lines to the reference leakage pixel points until a plurality of target leakage point position indication lines which are connected with the first gray contour line close to the inner side are obtained, determine a target leakage pixel point nearest to each target leakage point position indication line in the region range close to the first gray contour line of the inner side, and extract the position coordinates of the target leakage pixel points; and the detection feedback unit is configured to feed back the position coordinates of the leakage area and the target leakage pixel point corresponding to the target detection door window to a user.
In this embodiment, after obtaining the divided blowby area and non-blowby area, in some cases, the range of the blowby area is larger, and a user (manufacturer or installer) cannot judge a specific position where the target detection door and window leaks according to the blowby area, so that the door and window component to be replaced or improved and a specific installation process to be optimized cannot be analyzed. In order to obtain a more accurate leakage detection feedback result (i.e., coordinates of leakage points), according to the gray level actual value of each leakage pixel point in the leakage region, the embodiment constructs a gray level contour map on the leakage region, wherein the gray level contour map comprises a plurality of gray level contour lines which are expanded from the outer side to the inner side and gradually decrease in gray level value (i.e., gradually decrease in temperature value), firstly, a leakage point position indication line perpendicular to each reference leakage pixel point is generated from the first gray level contour line close to the outer side, the intersection point of the leakage point position indication line and the second gray level contour line close to the outer side is updated to be a reference leakage pixel point, the updated reference leakage pixel point is the pixel point which has the greatest influence on the gray level change of the previous reference leakage pixel point connected through the leakage point position indication line, the above process is repeated until the leakage point position indication lines are arranged in the area range close to the first gray level contour line close to the inner side, then, the target leakage point closest to each target leakage point position indication line is determined in the area range close to the first gray level contour line, and the target leakage point is used as the target leakage point for positioning feedback of the target leakage point. Therefore, the reference leakage pixel points influencing the gray level diffusion caused by leakage are deduced from outside to inside in sequence until the position coordinate of the leakage pixel point nearest to the leakage point position indication line is determined as the leakage point coordinate in the area range close to the inner first gray level contour line, so that the accurate determination of the leakage position is realized, the accuracy of leakage detection is improved, the maintenance and the nursing of doors and windows and the improvement of the structure of the push doors and windows and the further optimization of the door and window mounting process can be better facilitated.
The embodiment provides a door and window leakage detection and feedback system, revise the infrared image of target detection door and window through gathering image correction data, the influence that the door and window receives light interference has been considered, obtain the leakage detection infrared image that can the accurate temperature of real-time characterization target detection door and window, utilize infrared image to realize the accurate detection of the leakage point position to target detection door and window, can provide data support for the maintenance nursing of door and window and the improvement of promotion door and window structure and the further optimization of door and window installation technology, help the product iteration to update, promote user's use experience.
Example 2:
Referring to fig. 2, fig. 2 is a flow chart of a door and window leakage detection and feedback method according to an embodiment of the present invention.
As shown in fig. 2, a door and window leakage detection and feedback method includes the following steps:
s1: acquiring door and window leakage detection data acquired by leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
s2: performing image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
S3: identifying seepage pixel points in the seepage detection infrared image, and dividing a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
S4: and generating detection feedback information according to the target detection window region in the door and window.
The specific implementation of the door and window leakage detection and feedback method of the present application is substantially the same as the embodiments of the door and window leakage detection and feedback system described above, and will not be described herein.
In describing embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "inner", "outer", "inside", "outside", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Wherein "inside" refers to an interior or enclosed area or space. "peripheral" refers to the area surrounding a particular component or region.
In the description of embodiments of the present invention, the terms "first," "second," "third," "fourth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third" and a fourth "may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In describing embodiments of the present invention, it should be noted that the terms "mounted," "connected," and "assembled" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, unless otherwise specifically indicated and defined; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of embodiments of the invention, a particular feature, structure, material, or characteristic may be combined in any suitable manner in one or more embodiments or examples.
In describing embodiments of the present invention, it will be understood that the terms "-" and "-" refer to ranges between two values, and that the ranges include endpoints. For example, "A-B" means a range greater than or equal to A and less than or equal to B. "A-B" means a range of greater than or equal to A and less than or equal to B.
In the description of embodiments of the present invention, the term "and/or" is merely an association relationship describing an association object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A door and window leak detection and feedback system, comprising:
the data acquisition module is configured to acquire door and window leakage detection data acquired by the leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
The image processing module is configured to carry out image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
The seepage detection module is configured to identify seepage pixel points in the seepage detection infrared image, and divide a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
The detection feedback module is configured to generate detection feedback information according to the target detection window region in the door window;
Wherein the leak detection data collection device comprises: the infrared image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire infrared image data when the target detection door window is in a leakage environment condition; a correction parameter acquisition device configured to acquire image correction data of the target detection door and window;
Wherein, correction parameter collection system includes: the visible light image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire visible light image data when the target detection door window is in a leakage environment condition; the image processing module specifically comprises: a door and window frame extraction unit configured to extract a door and window frame region in the infrared image data and the visible light image data; a luminance value extraction unit configured to extract a luminance value of each pixel point of a window frame region in the visible light image data; the image correction unit is configured to generate image correction data of a target detection door window for each pixel point at present according to the brightness value of each pixel point, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image;
the image correction unit specifically includes: a correction parameter generation subunit configured to match, according to a target value gap relation between a luminance value of each pixel point and a standard luminance value, image correction data corresponding to the target value gap relation in a first mapping comparison table of the value gap relation and the image correction data; and the image correction subunit is configured to respectively carry out image contrast correction on each corresponding pixel point in the door and window frame region of the infrared image data by taking the image correction data of each pixel point in the door and window frame region of the visible light image data as a contrast conversion index to obtain a leakage detection infrared image.
2. The door and window leak detection and feedback system of claim 1 wherein the expression for image contrast correction is specifically;
；
where s is a pixel value after contrast correction, r is a pixel value of the infrared image data, c is a constant, and γ is a contrast conversion index.
3. The door and window leak detection and feedback system of claim 1, wherein the leak detection module specifically comprises:
A gradation processing unit configured to gradation-process each image pixel point in the leak detection infrared image;
the leakage pixel point judging unit is configured to judge whether each image pixel point in the leakage detection infrared image is a leakage pixel point or not according to the gray actual value and the gray threshold value of the image pixel point;
the leakage pixel points are target pixel points with gray actual values lower than a gray threshold value and gray actual values of all adjacent pixel points lower than the gray threshold value, and the gray threshold value is a standard gray value obtained by collecting infrared images of a standard door and window frame and performing gray processing;
the leakage area dividing unit is configured to divide an area formed by each leakage pixel point in the leakage detection infrared image into leakage areas and divide the remaining area into non-leakage areas.
4. The door and window leak detection and feedback system of claim 3, wherein the detection feedback module specifically comprises:
A gray contour map construction unit configured to construct a gray contour map on the leakage region according to gray actual values of each leakage pixel point in the leakage region;
The leakage point position determining unit is configured to extract a plurality of reference leakage pixel points uniformly distributed along the edge of the leakage region, generate leakage point position indication lines which are connected with the corresponding reference leakage pixel points and are perpendicular to a first gray contour line close to the outer side on the gray contour map, update intersection points of the leakage point position indication lines and a second gray contour line close to the outer side as the reference leakage pixel points, repeat the process of updating the leakage point position indication lines to the reference leakage pixel points until a plurality of target leakage point position indication lines which are connected with the first gray contour line close to the inner side are obtained, determine a target leakage pixel point nearest to each target leakage point position indication line in the region range close to the first gray contour line of the inner side, and extract the position coordinates of the target leakage pixel points;
And the detection feedback unit is configured to feed back the position coordinates of the leakage area and the target leakage pixel point corresponding to the target detection door window to a user.
5. A door and window leak detection and feedback system, comprising:
the data acquisition module is configured to acquire door and window leakage detection data acquired by the leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
The image processing module is configured to carry out image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
The seepage detection module is configured to identify seepage pixel points in the seepage detection infrared image, and divide a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
The detection feedback module is configured to generate detection feedback information according to the target detection window region in the door window;
Wherein the leak detection data collection device comprises: the infrared image acquisition device is arranged on the indoor side of the target detection door window and is configured to acquire infrared image data when the target detection door window is in a leakage environment condition; a correction parameter acquisition device configured to acquire image correction data of the target detection door and window;
Wherein, correction parameter collection system includes: the light intensity acquisition assembly comprises a plurality of light intensity acquisition pieces which are arranged in different position areas of a frame of the target detection door window, and the light intensity acquisition pieces are configured to acquire illumination intensity values of the different position areas of the frame when the target detection door window is in a leakage environment condition; the image processing module specifically comprises: a door and window frame extraction unit configured to extract a door and window frame region of the infrared image data; the image correction unit is configured to generate image correction data of the target detection door window in each position area according to the illumination intensity value of each position area, and perform image contrast correction on the infrared image data based on the image correction data to obtain a leakage detection infrared image;
the image correction unit specifically includes: the correction parameter generation subunit is configured to match image correction data corresponding to the target value difference relation in a second mapping comparison table of the value difference relation and the image correction data according to the target value difference relation between the illumination intensity value of each position area and the standard illumination intensity value; and the image correction subunit is configured to respectively carry out image contrast correction on each position area in the door and window frame area of the infrared image data by taking the image correction data of each position area in the door and window frame area as a contrast conversion index of the corresponding position area to obtain a leakage detection infrared image.
6. The door and window leak detection and feedback system of claim 5, wherein the expression for performing image contrast correction is specifically;
；
where s is a pixel value after contrast correction, r is a pixel value of the infrared image data, c is a constant, and γ is a contrast conversion index.
7. The door and window leak detection and feedback system of claim 5, wherein the leak detection module specifically comprises:
A gradation processing unit configured to gradation-process each image pixel point in the leak detection infrared image;
the leakage pixel point judging unit is configured to judge whether each image pixel point in the leakage detection infrared image is a leakage pixel point or not according to the gray actual value and the gray threshold value of the image pixel point;
the leakage pixel points are target pixel points with gray actual values lower than a gray threshold value and gray actual values of all adjacent pixel points lower than the gray threshold value, and the gray threshold value is a standard gray value obtained by collecting infrared images of a standard door and window frame and performing gray processing;
the leakage area dividing unit is configured to divide an area formed by each leakage pixel point in the leakage detection infrared image into leakage areas and divide the remaining area into non-leakage areas.
8. The door and window leak detection and feedback system of claim 7, wherein the detection feedback module specifically comprises:
A gray contour map construction unit configured to construct a gray contour map on the leakage region according to gray actual values of each leakage pixel point in the leakage region;
The leakage point position determining unit is configured to extract a plurality of reference leakage pixel points uniformly distributed along the edge of the leakage region, generate leakage point position indication lines which are connected with the corresponding reference leakage pixel points and are perpendicular to a first gray contour line close to the outer side on the gray contour map, update intersection points of the leakage point position indication lines and a second gray contour line close to the outer side as the reference leakage pixel points, repeat the process of updating the leakage point position indication lines to the reference leakage pixel points until a plurality of target leakage point position indication lines which are connected with the first gray contour line close to the inner side are obtained, determine a target leakage pixel point nearest to each target leakage point position indication line in the region range close to the first gray contour line of the inner side, and extract the position coordinates of the target leakage pixel points;
And the detection feedback unit is configured to feed back the position coordinates of the leakage area and the target leakage pixel point corresponding to the target detection door window to a user.
9. A door and window leak detection and feedback method for use in a door and window leak detection and feedback system as claimed in any one of claims 1 to 4, comprising:
s1: acquiring door and window leakage detection data acquired by leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
s2: performing image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
S3: identifying seepage pixel points in the seepage detection infrared image, and dividing a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
S4: and generating detection feedback information according to the target detection window region in the door and window.
10. A door and window leak detection and feedback method for use in a door and window leak detection and feedback system as claimed in any one of claims 5 to 8, comprising:
s1: acquiring door and window leakage detection data acquired by leakage detection data acquisition equipment; wherein the door and window leakage detection data comprises infrared image data and image correction data;
s2: performing image contrast correction on the infrared image data according to the image correction data to obtain a leakage detection infrared image;
S3: identifying seepage pixel points in the seepage detection infrared image, and dividing a target detection door window into a seepage region and a non-seepage region according to the seepage pixel points;
S4: and generating detection feedback information according to the target detection window region in the door and window.
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