CN116429328B - Method and system for detecting leakage of outer wall window, storage medium and intelligent terminal - Google Patents
Method and system for detecting leakage of outer wall window, storage medium and intelligent terminal Download PDFInfo
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- CN116429328B CN116429328B CN202211606194.0A CN202211606194A CN116429328B CN 116429328 B CN116429328 B CN 116429328B CN 202211606194 A CN202211606194 A CN 202211606194A CN 116429328 B CN116429328 B CN 116429328B
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Abstract
The application relates to an exterior wall window leakage detection method, a system, a storage medium and an intelligent terminal, and relates to the field of door and window detection technology; judging whether preset water drop features exist in an image corresponding to the window image information; if the water drop features exist in the image corresponding to the window image information, acquiring outdoor temperature information and indoor temperature information; calculating a difference value according to the outdoor temperature information and the indoor temperature information to determine difference value temperature information; judging whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not; if the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, outputting a leakage determination signal; and if the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, outputting a leakage undetermined signal. The application has the effect of improving the accuracy of determining the window leakage condition of the resident.
Description
Technical Field
The application relates to the field of door and window detection technology, in particular to an outer wall window leakage detection method, an outer wall window leakage detection system, a storage medium and an intelligent terminal.
Background
In the house construction process, a window is required to be installed on a wall body, so that a resident can ventilate and transmit light when living. After the window is installed, the sealing filling piece is installed at the window edge, so that the window edge has good sealing performance, and external rainwater and wind cannot easily enter a room through the window edge.
In the related art, in the resident process of a resident, a sealing filling piece arranged at the edge of a window can be aged due to wind, sun and the like, at the moment, the sealing performance of the window can be gradually deteriorated, at the moment, external rainwater can enter a room, and the resident can know the leakage condition of the window through water drops on the window.
In view of the above-mentioned related art, the inventor considers that when the temperature difference between inside and outside of the living environment is large, the water vapor attached to the window is easy to condense into water droplets, and at this time, the resident cannot know whether the water droplets are caused by window leakage or formed by water vapor condensation, so that the window leakage condition cannot be determined more accurately, and there is still room for improvement.
Disclosure of Invention
In order to improve the accuracy of determining window leakage conditions of households, the application provides an outer wall window leakage detection method, an outer wall window leakage detection system, a storage medium and an intelligent terminal.
In a first aspect, the present application provides a method for detecting leakage of an exterior wall window, which adopts the following technical scheme:
an exterior wall window leak detection method comprising:
acquiring window image information;
judging whether preset water drop features exist in an image corresponding to the window image information;
if the water drop features exist in the image corresponding to the window image information, acquiring outdoor temperature information and indoor temperature information;
calculating a difference value according to the outdoor temperature information and the indoor temperature information to determine difference value temperature information;
judging whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not;
if the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, outputting a leakage determination signal;
and if the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, outputting a leakage undetermined signal.
Through adopting above-mentioned technical scheme, acquire window image earlier to carry out the drop condition in the image and judge, when confirming that there is the drop, judge indoor outer difference in temperature condition, with confirm whether the drop is the too big result of difference in temperature, thereby make the resident can confirm whether the window seepage, with the accuracy that improves resident to window seepage condition determination.
Optionally, when the water drop feature exists in the image corresponding to the window image information, the method for detecting the leakage of the outer wall window further comprises the following steps:
determining water drop position information according to water drop characteristics on an image corresponding to the window image information;
numbering positions corresponding to the water drop position information according to a preset numbering rule to determine the water drop numbering information;
controlling a preset water wiping device to sequentially move to the position information of each water droplet according to the water droplet numbering information and to carry out water wiping operation, and judging whether water droplet features exist in the image corresponding to the current window image information or not again after the water wiping device is moved;
if the water drop feature does not exist in the image corresponding to the current window image information, acquiring outdoor temperature information and indoor temperature information;
if the water drop feature exists in the image corresponding to the current window image information, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information.
Through adopting above-mentioned technical scheme, confirm the position of drop to make the water-smearing equipment remove to the position that the drop is located and smear water treatment, confirm the image once more after water-smearing treatment, with the drop characteristic of confirming existence for the drop outside the window, thereby reduce the interference that the drop outside the window brought.
Optionally, when the water drop feature exists in the image corresponding to the current window image information, the method for detecting the leakage of the outer wall window further comprises the following steps:
acquiring water smearing weight information;
calculating according to the water smearing weight information and a preset reference weight to determine water absorbing weight information;
judging whether a weight value corresponding to the water absorption weight information is larger than a preset water absorption change value or not;
if the weight value corresponding to the water absorption weight information is larger than the water absorption change value, acquiring outdoor temperature information and indoor temperature information;
if the weight value corresponding to the water absorption weight information is not greater than the water absorption change value, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information.
By adopting the technical scheme, when water drops exist, the weight change condition on the water wiping equipment is judged to determine whether the water cannot be erased once due to excessive water quantity, so that the occurrence of misjudgment is reduced.
Optionally, after outputting the leakage undetermined signal, the method for detecting leakage of the outer wall window further comprises:
controlling water wiping equipment to perform cloth twisting operation to gather water in a preset water containing disc, controlling preset litmus test liquid to drop into the water containing disc, and acquiring water containing image information of the water containing disc;
Extracting color characteristics from an image corresponding to the water containing image information to determine water containing color information;
judging whether the color corresponding to the water containing color information falls into a preset acidic color set or not;
if the color corresponding to the water containing color information falls into the acid color set, outputting a leakage determination signal;
if the color corresponding to the water containing color information does not fall into the acid color set, outputting a water vapor condensation signal.
By adopting the technical scheme, the acid-base detection is carried out on the water collected by the water wiping equipment to determine whether the water is acidic or not, so that whether the water is external rainwater or not can be judged, and whether the window leaks or not can be determined.
Optionally, after the leakage determination signal is output, the method for detecting leakage of the outer wall window further comprises:
performing feature recognition according to window image information of the first detected water drop feature to determine water drop track information;
judging whether the track corresponding to the water droplet track information has an intersection point with a preset edge profile or not;
if the trajectory corresponding to the water droplet trajectory information has an intersection point with the edge profile, defining the intersection point as a leakage point;
if the track corresponding to the water droplet track information and the edge contour do not have an intersection point, determining starting point position information of a starting point on the track corresponding to the water droplet track information;
Connecting lines according to the starting point position information and the water drop position information to determine virtual straight line information;
and determining a virtual intersection point according to the virtual straight line information and the edge profile, and defining the side edge where the virtual intersection point is located in the edge profile as a leakage side.
By adopting the technical scheme, the track of the water drop is determined, so that the leakage position on the edge profile of the window can be determined, and the subsequent maintenance treatment of a resident can be facilitated.
Optionally, after the virtual intersection point is determined, the method for detecting leakage of the outer wall window further comprises:
defining a detection interval with a width value being a preset fixed length value on two sides of the edge of the leakage by taking the virtual intersection point as a center;
controlling a preset air blowing device to move along the length direction of the leakage edge in a detection interval, and acquiring air blowing speed information of the air measuring device preset on the edge profile;
after the movement of the air blowing equipment is completed, determining air blowing speed information with the maximum corresponding speed value in all the air blowing speed information according to a preset ordering rule, defining the air blowing speed information as maximum speed information, and defining leakage edge points corresponding to the maximum speed information as leakage points.
Through adopting above-mentioned technical scheme, can confirm the approximate scope of leaking point on the seepage edge through virtual intersection point to carry out the operation of blowing through blast apparatus and confirm concrete leaking point position, thereby can be convenient for resident's follow-up maintenance.
Optionally, after the maximum speed information is determined, the method for determining the leakage point further includes:
judging whether a speed value corresponding to the maximum speed information is larger than a preset required speed value or not;
if the speed value corresponding to the maximum speed information is larger than the required speed value, defining the leakage edge point position corresponding to the maximum speed information as a leakage point;
if the speed value corresponding to the maximum speed information is not greater than the required speed value, judging whether the point position corresponding to the maximum speed information is at the boundary of the detection section;
if the point position corresponding to the maximum speed information is not at the boundary of the detection interval, calculating according to a preset correction length value and a fixed length value to update the detection interval, and controlling the air blowing equipment to continue moving operation until the leakage point is determined;
if the point corresponding to the maximum speed information is located at the boundary of the detection section, defining the point as an influence point, updating the detection section according to the influence point and the corrected length value, and controlling the air blowing equipment to continuously move in the updated detection section until the leakage point is determined.
By adopting the technical scheme, whether the determined point position is a real leakage point can be determined according to the wind speed condition, and the detection interval can be updated until the position of the leakage point is determined when the determined point position is not the real leakage point.
In a second aspect, the present application provides an exterior wall window leakage detection system, which adopts the following technical scheme:
an exterior wall window leak detection system, comprising:
the acquisition module is used for acquiring window image information;
the processing module is connected with the acquisition module and the judging module and is used for storing and processing information;
the judging module is connected with the acquisition module and the processing module and is used for judging information;
the judging module judges whether preset water drop features exist in the image corresponding to the window image information;
if the judging module judges that the water drop features do not exist in the image corresponding to the window image information, the processing module does not perform additional operation;
if the judging module judges that the water drop features exist in the image corresponding to the window image information, the acquiring module acquires outdoor temperature information and indoor temperature information;
the processing module performs difference calculation according to the outdoor temperature information and the indoor temperature information to determine difference temperature information;
the judging module judges whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not;
if the judging module judges that the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, the processing module outputs a leakage determining signal;
If the judging module judges that the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, the processing module outputs a leakage undetermined signal.
Through adopting above-mentioned technical scheme, acquire the module earlier to carry out the drop condition judgement in the image, when judging the module determines that there is the drop, the judging module judges indoor outer difference in temperature condition, so as to confirm whether the drop is the too big result of difference in temperature, thereby make the resident can confirm whether the window seepage, in order to improve the resident and to the accuracy that the window seepage condition was confirmed.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprising a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any of the above exterior wall window leak detection methods.
Through adopting above-mentioned technical scheme, through intelligent terminal's use, acquire window image earlier to carry out the drop condition in the image and judge, when confirming that there is the drop, judge indoor outer difference in temperature condition, so as to confirm whether the drop is the too big result of difference in temperature, thereby make the resident can confirm whether the window seepage, in order to improve the resident and to the accuracy that the window seepage condition was confirmed.
In a fourth aspect, the present application provides a computer storage medium, capable of storing a corresponding program, having the feature of improving accuracy of determining a window leakage condition for a resident, and adopting the following technical scheme:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the exterior wall window leak detection methods described above.
By adopting the technical scheme, the computer program of the leakage detection method for the outer wall window is arranged in the storage medium, the window image is firstly obtained, the water drop condition is judged in the image, when the water drop is determined to exist, the indoor and outdoor temperature difference conditions are judged to determine whether the water drop is caused by overlarge temperature difference, so that a resident can determine whether the window leaks or not, and the accuracy of the resident on the determination of the window leakage condition is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. whether the water drops are caused by the indoor and outdoor temperature difference can be determined according to the temperature difference condition, so that the window leakage condition of a resident can be determined accurately;
2. the collected water can be subjected to acid-base detection to determine whether the collected water is rainwater, so that the window leakage condition can be determined;
3. The leachate points on the window can be determined according to the water drop condition, so that the householder can conveniently carry out subsequent maintenance operation.
Drawings
Fig. 1 is a flow chart of a method of exterior wall window leak detection.
Fig. 2 is a flow chart of a method of excluding water droplets outside the window.
FIG. 3 is a flow chart of a method of water application gravimetric analysis.
Fig. 4 is a flow chart of a rain condition determination method.
FIG. 5 is a flow chart of a leak location determination method.
Fig. 6 is a flow chart of a blow-by leak detection method.
Fig. 7 is a flowchart of a detection section updating method.
Fig. 8 is a block flow diagram of a method of exterior wall window leak detection.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings 1 to 8 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Embodiments of the application are described in further detail below with reference to the drawings.
The embodiment of the application discloses a leakage detection method for an outer wall window, which is used for carrying out image recognition on a window, controlling water wiping equipment to carry out water wiping operation when water drops exist so as to eliminate the condition that the water drops exist outside the window, and carrying out indoor and outdoor temperature difference determination at the moment so as to judge whether the water drops are formed by overlarge temperature difference or not, thereby being capable of accurately determining the leakage condition of the window.
Referring to fig. 1, the method flow of the exterior wall window leakage detection method includes the following steps:
step S100: and acquiring window image information.
The image corresponding to the window image information is an integral image of the window, and can be obtained through shooting by a monitoring camera installed indoors.
Step S101: judging whether preset water drop features exist in an image corresponding to the window image information.
The water drop features are features set by staff and used for recognizing water drops on images, training can be achieved through neural network deep learning, judgment is carried out, and the purpose of judgment is to know whether water drops exist on a window or not, so that whether the window leakage condition is to be determined or not is judged later.
Step S1011: if the water drop feature does not exist in the image corresponding to the window image information, no additional operation is performed.
When the water drop feature does not exist in the image corresponding to the window image information, the condition that no water drop exists on the image, namely, no external rainwater leaks into the window is indicated, the window at the moment is defaulted to have no seepage, no additional operation is needed at the moment, the window monitoring is continued, the frequency of the window monitoring is set by a worker according to the actual condition, and repeated description is omitted.
Step S1012: and if the water drop features exist in the image corresponding to the window image information, acquiring outdoor temperature information and indoor temperature information.
When the water drop features exist in the image corresponding to the window image information, the water drop exists on the window, and whether the water drop is caused by window leakage or not needs to be judged at the moment; the temperature value corresponding to the outdoor temperature information is the outdoor temperature value of the current environment, can be obtained by connecting with the real-time temperature of the local weather forecast, and the temperature value corresponding to the indoor temperature information is the indoor temperature value of the current environment, and can be obtained by a temperature sensor arranged in a room.
Step S102: and performing difference calculation according to the outdoor temperature information and the indoor temperature information to determine difference temperature information.
The temperature value corresponding to the difference temperature information is an indoor-outdoor difference value, and the absolute value is obtained after subtracting the temperature value corresponding to the indoor temperature information from the temperature value corresponding to the outdoor temperature information.
Step S103: and judging whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value.
The upper limit value of the temperature difference is a minimum temperature difference value which is set by a worker and can enable water vapor on the window to condense into water drops, and the purpose of judgment is to know whether the water drops on the current window are possibly caused by overlarge temperature difference.
Step S1031: and if the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, outputting a leakage determination signal.
When the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, the indoor and outdoor temperature difference is not great, and the condition that water vapor is condensed into water drops is not satisfied, namely the water drops are not condensed, namely the window has leakage, and a leakage determination signal is output to enable a resident to know the leakage, so that the resident can conveniently carry out subsequent maintenance treatment; the leakage determining signal can be an indicator light installed at the edge of a window to be lighted, and can also be an indicator light with a changed color, and a specific output mode can be determined by a worker according to actual conditions, and details are omitted.
Step S1032: and if the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, outputting a leakage undetermined signal.
When the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, the water drop can be formed by water vapor condensation, whether leakage occurs cannot be determined at the moment, and a leakage undetermined signal is output to identify the situation so as to facilitate subsequent further analysis.
Referring to fig. 2, when the water drop feature exists in the image corresponding to the window image information, the method for detecting leakage of the outer wall window further includes:
Step S200: and determining water drop position information according to the water drop characteristics on the image corresponding to the window image information.
The position corresponding to the water drop position information is the position corresponding to the water drop on the window, and can be determined by carrying out feature recognition on the water drop and positioning the position in the image.
Step S201: numbering positions corresponding to the water drop position information according to a preset numbering rule to determine the water drop numbering information.
The corresponding numbering value of the water drop numbering information is the numbering value of each water drop feature on the window, the numbering rule is a method which is set by a worker and can number the water drops at different positions sequentially, for example, the water drops are numbered from left to right and from top to bottom, and the specific method is set by the worker according to actual conditions and is not repeated.
Step S202: and controlling the preset water wiping equipment to sequentially move to the position information of each water droplet according to the water droplet numbering information and to carry out water wiping operation, and judging whether the water droplet features exist in the image corresponding to the current window image information again after the water wiping equipment is moved.
The water wiping equipment is equipment which is set by staff and can move and carry out water wiping operation, and can be determined by installing a swinging rod on a sweeping robot and then installing rags on the swinging rod; the water wiping device is controlled to sequentially conduct water wiping operation on all the water drops, so that the water drops in the window can be treated, and the purpose of judging again at the moment is to know whether the water wiping device can treat water on the window.
Step S2021: and if the water drop feature does not exist in the image corresponding to the current window image information, acquiring outdoor temperature information and indoor temperature information.
When the water drop features do not exist in the image corresponding to the current window image information, the water drop on the window can be treated by the water wiping equipment, namely, the water drop originally positioned on the window is the water drop inside the window, at the moment, the water drop formed by leakage possibly exists, and the temperature difference condition needs to be judged.
Step S2022: if the water drop feature exists in the image corresponding to the current window image information, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information.
When the water drop features exist in the image corresponding to the current window image information, the condition that the water drop exists on the window and cannot be processed by the water wiping equipment is indicated, namely, the water drop is the water drop outside the window, no leakage condition exists at the moment, and therefore a sealing safety signal is output to identify the condition, and meanwhile temperature difference condition determination is not needed.
Referring to fig. 3, when the water drop feature exists in the image corresponding to the current window image information, the method for detecting the leakage of the outer wall window further comprises:
Step S300: and acquiring the water smearing weight information.
When the water drop features exist in the image corresponding to the current window image information, the condition that the water absorption capacity of the rag is saturated and all water drops cannot be cleaned possibly exists, and further analysis is needed; the weight value corresponding to the water wiping weight information is the weight value of a component used for wiping water on the water wiping equipment, for example, the weight value of the rag can be obtained by installing a corresponding weight sensor on the swinging rod.
Step S301: and calculating according to the water smearing weight information and a preset reference weight to determine the water absorbing weight information.
The reference weight is the weight value when the component for processing the water drop on the water smearing equipment does not start to absorb water, the weight value corresponding to the water absorption weight information is the weight value of the water absorbed by the component, and the reference weight is subtracted from the weight value corresponding to the water smearing weight information to determine.
Step S302: judging whether the weight value corresponding to the water absorption weight information is larger than a preset water absorption change value.
The water absorption change value is a minimum weight change value set by a worker when the water absorption of the water absorption treatment component on the water smearing equipment is determined to be close to saturation, and the judgment purpose is to know whether the water absorption component is in a stage of water absorption saturation.
Step S3021: and if the weight value corresponding to the water absorption weight information is larger than the water absorption change value, acquiring outdoor temperature information and indoor temperature information.
When the weight value corresponding to the water absorption weight information is larger than the water absorption change value, the water absorption amount of the water absorption component is saturated, so that water drops still exist on the window, namely water in the window is treated, and at the moment, temperature difference judgment is needed to determine whether the window leaks or not.
Step S3022: if the weight value corresponding to the water absorption weight information is not greater than the water absorption change value, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information.
When the weight value corresponding to the water absorption weight information is not greater than the water absorption change value, the condition that water cannot be treated due to the saturated water absorption amount of the water absorption component is indicated, and the water at the moment is water outside the window, so that no leakage condition exists.
Referring to fig. 4, after the leakage undetermined signal is output, the method for detecting leakage of the outer wall window further comprises:
step S400: controlling the water wiping equipment to conduct cloth twisting operation to gather water in a preset water containing disc, controlling the preset litmus test solution to drop into the water containing disc, and acquiring water containing image information of the water containing disc.
The water containing disc is a device which is arranged on the water smearing equipment and is used for collecting water, the water smearing equipment can be used for wringing or squeezing water on the water absorbing component so as to gather the absorbed water in the water containing disc, and at the moment, the water containing disc is added with the litmus test solution, so that the acid-base property of the water in the water containing disc can be judged; the image corresponding to the water containing image information is the image of the water containing disc and can be obtained through a shooting assembly which is arranged on the water smearing assembly and is opposite to the water containing disc.
Step S401: and extracting color characteristics from the image corresponding to the water containing image information to determine the water containing color information.
The color corresponding to the water containing color information is the color of the water in the water containing disc, the color can be obtained through feature extraction, and the determination method of the feature extraction is common knowledge of the person skilled in the art and is not repeated.
Step S402: judging whether the color corresponding to the water containing color information falls into a preset acidic color set or not.
The acid color set is a large part of color set which can be determined by a worker and can be displayed when the acid water meets the litmus test solution, and the purpose of judgment is to know whether the water collected on the water wiping device is the acid water or not.
Step S4021: and outputting a leakage determination signal if the color corresponding to the water containing color information falls into the acid color set.
When the color corresponding to the water containing color information falls into the acid color set, the water collected on the water smearing equipment is acid water, namely, the collected water is rainwater, so that the situation that a window leaks can be determined, and a leakage determination signal is output at the moment so that a resident knows the situation.
Step S4022: if the color corresponding to the water containing color information does not fall into the acid color set, outputting a water vapor condensation signal.
When the color corresponding to the water containing color information does not fall into the acid color set, the water collected on the water smearing equipment is not acid water, namely the collected water is not rainwater, and a water vapor condensation signal is output at the moment to identify the condition so as to indicate that no leakage condition exists in a window.
Referring to fig. 5, after the leakage determination signal is output, the exterior wall window leakage detection method further includes:
step S500: and carrying out feature recognition according to the window image information of the first detected water drop feature so as to determine the water drop track information.
The track corresponding to the water drop track information is the moving track of the water drops on the window, and can be determined by carrying out gray processing, filtering and contour algorithm calculation on the image.
Step S501: judging whether the track corresponding to the water drop track information has an intersection point with a preset edge profile.
The edge profile is the profile of the window, and the purpose of judgment is to know the departure point of water drops so as to judge the specific leakage position on the window.
Step S5011: if the trajectory corresponding to the water droplet trajectory information has an intersection point with the edge profile, the intersection point is defined as a leakage point.
When the track corresponding to the water drop track information and the edge outline have an intersection point, the water drop is indicated to enter a room for the intersection point position, and the intersection point is defined as a leakage point for identification so as to facilitate maintenance operation of subsequent households.
Step S5012: if the track corresponding to the water drop track information and the edge contour do not have the intersection point, determining the starting point position information of the starting point on the track corresponding to the water drop track information.
When the corresponding track of the water drop track information and the edge contour do not have an intersection point, the departure point of the water drop on the edge contour cannot be directly determined, and further analysis is needed; the position corresponding to the starting point position information is the starting point position on the water drop moving track.
Step S502: and connecting lines according to the starting point position information and the water drop position information to determine virtual straight line information.
The straight line corresponding to the virtual straight line information is a connecting straight line of the starting point and the end point of the moving track of the water drop.
Step S503: and determining a virtual intersection point according to the virtual straight line information and the edge profile, and defining the side edge where the virtual intersection point is located in the edge profile as a leakage side.
The virtual intersection point is an intersection point of the virtual straight line and the edge contour, the departure point of the water drop on the edge contour can be simulated according to the movement condition of the water drop on the movement track, and meanwhile, the side edge where the virtual intersection point is located is defined as a leakage edge for identification, so that the leakage point of a subsequent resident can be conveniently determined.
Referring to fig. 6, after the virtual intersection point is determined, the exterior wall window leakage detection method further includes:
step S600: and (3) defining a detection interval with a width value being a preset fixed length value on two sides of the edge of the leakage by taking the virtual intersection point as the center.
The fixed length value is a fixed value determined by a worker, and the detection interval established on the leakage edge by taking the virtual intersection point as the center can cover the leakage point, so that the subsequent leakage point determination is convenient.
Step S601: and controlling the preset air blowing equipment to move along the length direction of the leakage edge in the detection interval, and acquiring the air blowing speed information of the air blowing equipment preset on the edge profile.
The air blowing equipment is a component with an air blowing function arranged on the water smearing equipment, the crosswind equipment is equipment which is arranged on the outline of the outer side of the window and used for measuring the wind speed, the equipment can be a wind speed sensor, and the speed value corresponding to the air blowing speed information is the wind speed value measured by the wind measuring equipment.
Step S602: after the movement of the air blowing equipment is completed, determining air blowing speed information with the maximum corresponding speed value in all the air blowing speed information according to a preset ordering rule, defining the air blowing speed information as maximum speed information, and defining leakage edge points corresponding to the maximum speed information as leakage points.
The sorting rule is a method which is set by a worker and can sort the numerical values, such as an bubbling method, the largest blowing speed of all blowing speeds can be determined according to the sorting rule, the information of the blowing speeds is defined as the maximum speed information to be identified, so that different speeds are distinguished, when the speed is maximum, the situation that the air leakage is the most serious is described, namely, the place is the leakage position of the window edge outline, and the leakage edge point corresponding to the maximum speed information is defined as the leakage point, so that the subsequent maintenance of residents is facilitated.
Referring to fig. 7, after the maximum speed information is determined, the leakage point determining method further includes:
step S700: and judging whether the speed value corresponding to the maximum speed information is larger than a preset required speed value.
The required speed value is a minimum wind speed value which is determined by a worker and is required to be reached when poor sealing occurs, and the purpose of judgment is to know whether the point with the maximum wind speed meets the requirement of a leakage point.
Step S7001: if the speed value corresponding to the maximum speed information is larger than the required speed value, defining the leakage edge point position corresponding to the maximum speed information as a leakage point.
When the speed value corresponding to the maximum speed information is larger than the required speed value, the wind speed meets the requirement, and the corresponding point is defined as the leakage point.
Step S7002: if the speed value corresponding to the maximum speed information is not greater than the required speed value, judging whether the point position corresponding to the maximum speed information is at the boundary of the detection section.
When the speed value corresponding to the maximum speed information is not greater than the required speed value, the fact that no leakage point exists in the detection section is indicated, the position of the leakage point needs to be further determined, and the purpose of judgment is to know whether the boundary point of the detection section is close to the real leakage point.
Step S70021: if the point position corresponding to the maximum speed information is not at the boundary of the detection section, calculating according to the preset correction length value and the fixed length value to update the detection section, and controlling the air blowing equipment to continue moving operation until the leakage point is determined.
When the point position corresponding to the maximum speed information is not at the boundary of the detection section, the fact that the real leakage point is not detected is indicated, and the fixed length value is updated by adding the fixed length value to the corrected length value at the moment, so that the width of the detection section can be changed, the detection range of the air blowing equipment can be expanded until the corresponding leakage point is determined.
Step S70022: if the point corresponding to the maximum speed information is located at the boundary of the detection section, defining the point as an influence point, updating the detection section according to the influence point and the corrected length value, and controlling the air blowing equipment to continuously move in the updated detection section until the leakage point is determined.
When the point position corresponding to the maximum speed information is positioned at the boundary of the detection section, the boundary point is influenced by the leakage point, namely, the leakage point is positioned in the direction of the boundary point, the point position is defined as the influence point to be identified at the moment, the distinction of two different boundary points is realized, and meanwhile, the detection section is updated by utilizing the correction length value to the direction prescribed by the influence point, so that the air blowing equipment can continuously detect the leakage point in the direction of the influence point, and the leakage point on the leakage edge can be determined.
Referring to fig. 8, based on the same inventive concept, an embodiment of the present invention provides an exterior wall window leakage detection system, including:
the acquisition module is used for acquiring window image information;
the processing module is connected with the acquisition module and the judging module and is used for storing and processing information;
the judging module is connected with the acquisition module and the processing module and is used for judging information;
The judging module judges whether preset water drop features exist in the image corresponding to the window image information;
if the judging module judges that the water drop features do not exist in the image corresponding to the window image information, the processing module does not perform additional operation;
if the judging module judges that the water drop features exist in the image corresponding to the window image information, the acquiring module acquires outdoor temperature information and indoor temperature information;
the processing module performs difference calculation according to the outdoor temperature information and the indoor temperature information to determine difference temperature information;
the judging module judges whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not;
if the judging module judges that the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, the processing module outputs a leakage determining signal;
if the judging module judges that the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, the processing module outputs a leakage undetermined signal;
the window outside water drop removing module is used for removing the condition that the water drops on the window are water drops outside the window so as to reduce detection interference;
the water smearing weight determining module is used for determining the water amount change condition of the water smearing equipment so as to determine whether water drops remained on a window are caused by the fact that water cannot be absorbed continuously after the water smearing equipment is saturated with water;
The rainwater condition determining module is used for detecting water collected by the water wiping equipment to determine whether the water is rainwater or not, so that the window leakage condition is determined;
a leak location determination module for determining a location of a leak on the window edge profile for subsequent households to perform maintenance operations;
the blowing leakage determining module is used for determining leakage points on the leakage edge according to the condition of the wind speed after blowing by the blowing equipment;
and the detection interval updating module is used for updating the detection interval according to the specific condition of the wind speed so as to facilitate the determination of the leakage points.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
Embodiments of the present invention provide a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing a method of exterior wall window leak detection.
The computer storage medium includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Based on the same inventive concept, the embodiment of the application provides an intelligent terminal, which comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute an outer wall window leakage detection method.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The foregoing description of the preferred embodiments of the application is not intended to limit the scope of the application in any way, including the abstract and drawings, in which case any feature disclosed in this specification (including abstract and drawings) may be replaced by alternative features serving the same, equivalent purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.
Claims (5)
1. A method of exterior wall window leak detection comprising:
acquiring window image information;
judging whether preset water drop features exist in an image corresponding to the window image information;
if the water drop features exist in the image corresponding to the window image information, acquiring outdoor temperature information and indoor temperature information;
calculating a difference value according to the outdoor temperature information and the indoor temperature information to determine difference value temperature information;
judging whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not;
if the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, outputting a leakage determination signal;
if the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, outputting a leakage undetermined signal;
when the water drop feature exists in the image corresponding to the window image information, the method for detecting the leakage of the outer wall window further comprises the following steps:
determining water drop position information according to water drop characteristics on an image corresponding to the window image information;
numbering positions corresponding to the water drop position information according to a preset numbering rule to determine the water drop numbering information;
controlling a preset water wiping device to sequentially move to the position information of each water droplet according to the water droplet numbering information and to carry out water wiping operation, and judging whether water droplet features exist in the image corresponding to the current window image information or not again after the water wiping device is moved;
If the water drop feature does not exist in the image corresponding to the current window image information, acquiring outdoor temperature information and indoor temperature information;
if the water drop feature exists in the image corresponding to the current window image information, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information;
after the leakage undetermined signal is output, the method for detecting the leakage of the outer wall window further comprises the following steps:
controlling water wiping equipment to perform cloth twisting operation to gather water in a preset water containing disc, controlling preset litmus test liquid to drop into the water containing disc, and acquiring water containing image information of the water containing disc;
extracting color characteristics from an image corresponding to the water containing image information to determine water containing color information;
judging whether the color corresponding to the water containing color information falls into a preset acidic color set or not;
if the color corresponding to the water containing color information falls into the acid color set, outputting a leakage determination signal;
if the color corresponding to the water containing color information does not fall into the acid color set, outputting a water vapor condensation signal;
after the leakage determination signal is output, the method for detecting the leakage of the outer wall window further comprises the following steps:
performing feature recognition according to window image information of the first detected water drop feature to determine water drop track information;
Judging whether the track corresponding to the water droplet track information has an intersection point with a preset edge profile or not;
if the trajectory corresponding to the water droplet trajectory information has an intersection point with the edge profile, defining the intersection point as a leakage point;
if the track corresponding to the water droplet track information and the edge contour do not have an intersection point, determining starting point position information of a starting point on the track corresponding to the water droplet track information;
connecting lines according to the starting point position information and the water drop position information to determine virtual straight line information;
determining a virtual intersection point according to the virtual straight line information and the edge profile, and defining the side edge where the virtual intersection point in the edge profile is located as a leakage side;
after the virtual intersection point is determined, the outer wall window leakage detection method further comprises the following steps:
defining a detection interval with a width value being a preset fixed length value on two sides of the edge of the leakage by taking the virtual intersection point as a center;
controlling a preset air blowing device to move along the length direction of the leakage edge in a detection interval, and acquiring air blowing speed information of the air measuring device preset on the edge profile;
after the movement of the air blowing equipment is finished, determining air blowing speed information with the maximum corresponding speed value in all air blowing speed information according to a preset ordering rule, defining the air blowing speed information as maximum speed information, and defining leakage edge points corresponding to the maximum speed information as leakage points;
After the maximum speed information is determined, the leakage point determining method further comprises the following steps:
judging whether a speed value corresponding to the maximum speed information is larger than a preset required speed value or not;
if the speed value corresponding to the maximum speed information is larger than the required speed value, defining the leakage edge point position corresponding to the maximum speed information as a leakage point;
if the speed value corresponding to the maximum speed information is not greater than the required speed value, judging whether the point position corresponding to the maximum speed information is at the boundary of the detection section;
if the point position corresponding to the maximum speed information is not at the boundary of the detection interval, calculating according to a preset correction length value and a fixed length value to update the detection interval, and controlling the air blowing equipment to continue moving operation until the leakage point is determined;
if the point corresponding to the maximum speed information is located at the boundary of the detection section, defining the point as an influence point, updating the detection section according to the influence point and the corrected length value, and controlling the air blowing equipment to continuously move in the updated detection section until the leakage point is determined.
2. The exterior wall window leakage detection method according to claim 1, wherein when the water drop feature exists in the image corresponding to the current window image information, the exterior wall window leakage detection method further comprises:
Acquiring water smearing weight information;
calculating according to the water smearing weight information and a preset reference weight to determine water absorbing weight information;
judging whether a weight value corresponding to the water absorption weight information is larger than a preset water absorption change value or not;
if the weight value corresponding to the water absorption weight information is larger than the water absorption change value, acquiring outdoor temperature information and indoor temperature information;
if the weight value corresponding to the water absorption weight information is not greater than the water absorption change value, outputting a sealing safety signal, and not acquiring outdoor temperature information and indoor temperature information.
3. An exterior wall window leak detection system, comprising:
the acquisition module is used for acquiring window image information;
the processing module is connected with the acquisition module and the judging module and is used for storing and processing information;
the judging module is connected with the acquisition module and the processing module and is used for judging information;
the judging module judges whether preset water drop features exist in the image corresponding to the window image information;
if the judging module judges that the water drop features do not exist in the image corresponding to the window image information, the processing module does not perform additional operation;
if the judging module judges that the water drop features exist in the image corresponding to the window image information, the acquiring module acquires outdoor temperature information and indoor temperature information;
The processing module performs difference calculation according to the outdoor temperature information and the indoor temperature information to determine difference temperature information;
the judging module judges whether the temperature value corresponding to the difference temperature information is larger than a preset temperature difference upper limit value or not;
if the judging module judges that the temperature value corresponding to the difference temperature information is not greater than the upper limit value of the temperature difference, the processing module outputs a leakage determining signal;
if the judging module judges that the temperature value corresponding to the difference temperature information is larger than the upper limit value of the temperature difference, the processing module outputs a leakage undetermined signal;
when the judging module judges that the water drop feature exists in the image corresponding to the window image information, the outer wall window leakage detecting method further comprises the following steps:
the processing module determines water drop position information according to the water drop characteristics on the image corresponding to the window image information;
the processing module numbers the positions corresponding to the water drop position information according to a preset numbering rule so as to determine the water drop numbering information;
the processing module controls the preset water wiping equipment to sequentially move to the position information of each water droplet by the water droplet numbering information and conduct water wiping operation, and the judging module judges whether the water droplet features exist in the image corresponding to the current window image information or not after the water wiping equipment is moved;
If the judging module judges that the water drop feature does not exist in the image corresponding to the current window image information, the acquiring module acquires outdoor temperature information and indoor temperature information;
if the judging module judges that the water drop characteristics exist in the image corresponding to the current window image information, the processing module outputs a sealing safety signal, and the acquiring module does not acquire outdoor temperature information and indoor temperature information;
after the leakage undetermined signal is output, the method for detecting the leakage of the outer wall window further comprises the following steps:
the processing module controls the water smearing equipment to perform a wringing operation to gather water in a preset water containing disc, controls a preset litmus test solution to drop into the water containing disc, and the acquisition module acquires water containing image information of the water containing disc;
the processing module extracts color characteristics from the image corresponding to the water containing image information to determine water containing color information;
the judging module judges whether the color corresponding to the water containing color information falls into a preset acidic color set or not;
if the judging module judges that the color corresponding to the water containing color information falls into the acid color set, the processing module outputs a leakage determining signal;
if the judging module judges that the color corresponding to the water containing color information does not fall into the acid color set, the processing module outputs a water vapor condensation signal;
After the leakage determination signal is output, the method for detecting the leakage of the outer wall window further comprises the following steps:
the processing module performs feature recognition according to the window image information of the first detected water drop feature so as to determine water drop track information;
the judging module judges whether the track corresponding to the water droplet track information has an intersection point with a preset edge profile;
if the judging module judges that the intersection point exists between the track corresponding to the water droplet track information and the edge profile, the processing module defines the intersection point as a leakage point;
if the judging module judges that the intersection point does not exist between the track corresponding to the water droplet track information and the edge profile, the processing module determines starting point position information of a starting point on the track corresponding to the water droplet track information;
the processing module is connected with the line according to the starting point position information and the water drop position information to determine virtual straight line information;
the processing module determines virtual intersection points according to the virtual straight line information and the edge profile, and defines the side edge where the virtual intersection points in the edge profile are located as leakage sides;
after the virtual intersection point is determined, the outer wall window leakage detection method further comprises the following steps:
the processing module is used for defining a detection interval with a width value being a preset fixed length value on two sides of the edge of the leakage by taking the virtual intersection point as the center;
The processing module controls the preset air blowing equipment to move along the length direction of the leakage edge in the detection interval, and the acquisition module acquires the air blowing speed information of the air blowing equipment preset on the edge profile;
after the movement of the blowing equipment is completed, the processing module determines the blowing speed information with the maximum corresponding speed value in all the blowing speed information according to a preset ordering rule, the blowing speed information is defined as maximum speed information, and the leakage edge point position corresponding to the maximum speed information is defined as leakage point;
after the maximum speed information is determined, the leakage point determining method further comprises the following steps:
the judging module judges whether the speed value corresponding to the maximum speed information is larger than a preset required speed value or not;
if the judging module judges that the speed value corresponding to the maximum speed information is larger than the required speed value, the processing module defines the leakage edge point position corresponding to the maximum speed information as a leakage point;
if the judging module judges that the speed value corresponding to the maximum speed information is not greater than the required speed value, the judging module judges whether the point position corresponding to the maximum speed information is at the boundary of the detection section;
if the judgment module judges that the point position corresponding to the maximum speed information is not located at the boundary of the detection interval, the processing module calculates according to the preset correction length value and the fixed length value to update the detection interval, and the processing module controls the air blowing equipment to continue moving operation until the leakage point is determined;
If the judging module judges that the point position corresponding to the maximum speed information is located at the boundary of the detection section, the processing module defines the point position as an influence point, updates the detection section according to the influence point and the corrected length value, and controls the air blowing equipment to continuously move in the updated detection section until the leakage point is determined.
4. An intelligent terminal comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 2.
5. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 2.
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