Rapid positioning method for pipeline water leakage point

Abstract

The invention discloses a quick positioning method for a pipeline water leakage point, relates to the technical field of pipeline water leakage positioning, and solves the problem that the original positioning process cannot be accurate to which kind of pipelines have water leakage conditions. According to the quick positioning method, circular ring zoning is carried out through set related circular rings from the determined subarea with the maximum temperature difference, so that the positioning accuracy is improved. Then, on the basis of the divided specific circular ring areas, the associated temperature mean values of the corresponding circular ring areas are locked, the corresponding temperature mean values are sequenced, on the basis of specific numerical value characteristics of sequencing, specific confirmation of hue partition is carried out, and on the basis of a confirmation result, corresponding water leakage signals are generated, so that related positioning of water leakage points can be effectively completed, and the accuracy of water leakage detection is improved. And the water leakage condition of the pipeline can be locked and displayed in time, so that external personnel can check the water leakage condition, overhaul the water leakage condition in time and take corresponding measures.

Description

Technical Field

[0001] The invention relates to the technical field of pipeline leakage positioning, and in particular to a method for quickly positioning a pipeline leakage point. Background Art

[0002] For the relevant processing process of locating pipeline leaks, a thermal imager is generally used to scan the pipeline area; since the temperature around the leak point is different from that of the normal pipeline area, the temperature difference will be displayed on the thermal imager; by analyzing the temperature distribution in the thermal imaging image, the leak point can be quickly located.

[0003] The application with publication number CN115183157A discloses a pipeline leakage positioning detection method, system, intelligent terminal and storage medium, which belongs to the technical field of pipeline detection, and includes obtaining the location of the leakage detection device and the detected leakage; screening out the leakage detection device corresponding to the maximum leakage, defining the leakage detection device corresponding to the maximum leakage as the central detection device; determining the offset ratio according to the ratio of the leakage detected by the leakage detection devices on both sides of the central detection device; obtaining the offset information according to the correspondence between the preset offset information and the offset ratio, wherein the offset information includes the offset direction information and the offset information relative to the central detection device, generating the axial position information of the leakage point according to the offset information and the location of the central detection device; and sending the axial position information of the leakage point to the background terminal. This application has the effect of being able to more accurately obtain the location of the pipeline leakage point.

[0004] When conducting relevant detection and positioning of the leaking points inside the pipeline, the corresponding abnormal areas are generally identified based on the corresponding thermal imagers, and such abnormal areas are displayed for external personnel to view and complete the corresponding positioning process. However, the original positioning process cannot accurately determine which type of pipeline has a leak, but simply identifies the abnormal situation. Therefore, the original leakage abnormality identification method needs to be strengthened. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a method for quickly locating a pipeline leak, which solves the problem that the original positioning process cannot accurately determine which type of pipeline has a leak.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for quickly locating a pipeline leak point, comprising the following steps:

[0007] Step 1: Perform thermal imaging of the water pipe inside the wall using a thermal imaging detector, and perform numerical analysis on the thermal imaging image generated by the water pipe. Based on the numerical verification results, determine the abnormal area. The specific sub-steps are:

[0008] S11. Based on the specific thermal imaging processing process of the water pipeline, confirm the thermal imaging image of the entire water pipeline, confirm the RGB value associated with each pixel point in the thermal imaging image, and calibrate the confirmed RGB value as R i , where i represents different pixel positions;

[0009] S12, the R between adjacent pixels i Perform numerical verification to lock similar areas: Based on the R associated with two adjacent pixels i After the difference processing, the absolute value JD is taken, and the determined absolute value JD is checked with the preset value Y1. If JD≤Y1, two adjacent pixel points are divided into similar points, and the area covered by several similar points is marked as a similar area, where Y1 is the preset value. If JD>Y1, no relevant calibration is performed for similar points;

[0010] S13, based on the similar areas determined in the thermal imaging image, marking other areas that are not classified into the similar areas as abnormal areas;

[0011] Step 2: Based on the determined abnormal area, the center point of the abnormal area is preferentially determined, and two sets of associated vertical lines are constructed based on the determined center point, so that the two sets of associated vertical lines rotate according to the center point, and based on each set of rotation process, the temperature data of the area between adjacent associated vertical lines is analyzed, and based on the analysis results, the maximum deviation temperature zone is locked. The specific sub-steps are:

[0012] S21, based on the edge contour of the abnormal area, the edge contour is placed in a set of two-dimensional coordinate systems, and the point coordinates of the internal points of the edge contour are confirmed from the two-dimensional coordinate system, the point coordinates of several internal points are averaged to determine the average point, and the average point is marked in the edge contour to determine the center point of the abnormal area;

[0013] S22. Based on the determined center point, two sets of mutually perpendicular correlation vertical lines are constructed, and the vertical points of the two sets of correlation vertical lines coincide with the center point, so that both end points of the correlation vertical lines fall on the edge contour of the abnormal area. The constructed correlation vertical lines divide the abnormal area into four groups of micro-areas, and the temperature data of different points inside each group of micro-areas are confirmed and calibrated as WD k , where k represents different points, and several temperature data WD confirmed in the same group of micro-areas k Perform variance processing to confirm the standard variance Fc;

[0014] S23, rotating the constructed associated vertical line along the center point until the corresponding associated vertical line rotates back to the initial position, performing variance processing on a plurality of temperature data of different micro-regions generated in each group of rotation processes and confirming the standard variance of the corresponding micro-region, selecting a maximum value from a plurality of standard variances based on different standard variances generated in different micro-regions in each different rotation process, calibrating the rotation process associated with the maximum value as the standard process, and calibrating the micro-region associated with the maximum value in the standard process as the maximum deviation temperature zone;

[0015] Step 3: Based on the determined maximum deviation temperature area, equidistant circular rings are generated in sequence from the center point to the outside, and the mean temperature of each circular ring area is confirmed. Several mean temperatures are sorted in a way of sorting from the center point to the outside, and the mean temperature sequence is determined. The mean temperature sequence is analyzed to confirm whether the abnormal area belongs to the warm tone partition or the cold tone partition;

[0016] Step 4: Based on the calibrated warm-tone partitions, a hot water pipe leakage signal is generated, and the abnormal area is displayed simultaneously; based on the calibrated cold-tone partitions, a cold water pipe leakage signal is generated, and the abnormal area is displayed simultaneously. The specific method is as follows:

[0017] S31, based on the determined center point of the maximum deviation temperature zone and the abnormal area, a circle is constructed with the center point as the center, the radius of the initial circle is Y2, the radius of the second group of circles is 2Y2, the radius of the third group of circles is 3Y2, and so on, until the constructed circle does not intersect with the maximum deviation temperature zone and deletes the circle, wherein Y2 is a preset value, the area between adjacent circles and inside the maximum deviation temperature zone is marked as a circular ring area, and the area between the first group of circles or the last group and the maximum deviation temperature zone is also marked as a circular ring area;

[0018] S32, based on the several groups of temperature data included in the circular area, performing mean processing on the several groups of temperature data to determine the temperature mean belonging to the corresponding circular area, and then sorting the several temperature mean values ​​in a manner of sorting from the center point outward to determine the mean temperature sequence belonging to the maximum deviation temperature zone;

[0019] S33, comparing the mean values ​​of adjacent temperatures in the mean temperature sequence, and assigning a value of 1 if the mean value of the current temperature group is less than the mean value of the next temperature group; and assigning a value of 0 if the mean value of the current temperature group is greater than the mean value of the next temperature group; and when the mean values ​​of adjacent temperatures are equal, no value is assigned;

[0020] When the number of values ​​assigned as 1 is greater than the number of values ​​assigned as 0, the abnormal area is divided into warm-tone partitions;

[0021] When the number of values ​​assigned as 1 is less than the number of values ​​assigned as 0, the abnormal area is divided into a cold-toned area;

[0022] When the number of assigned 1s is the same as the number of assigned 0s, an error signal is generated and the mean temperature sequence is displayed for external personnel to view.

[0023] The present invention provides a method for quickly locating a pipeline leak. Compared with the prior art, it has the following advantages:

[0024] Beneficial effects:

[0025] The present invention confirms the thermal imaging image, and then based on the RGB values ​​associated with different pixel points in the thermal imaging image, analyzes the changes in the RGB values ​​of adjacent points to specifically determine the same type of area, and based on the determined same type of area, locks the abnormal area inside the image, and then confirms the center point of the abnormal area, and partitions the abnormal area by constructing corresponding related vertical lines, and divides the abnormal area into multiple micro-areas, and then adopts a rotation method to change the area included in the micro-area, and based on the specific process of temperature variance processing, determines the area with the largest temperature difference, and confirms the area;

[0026] From the confirmed partition with the largest temperature difference, circular zoning is performed through the set relevant circular rings, and then based on the specific circular ring areas, the associated temperature means of the corresponding circular ring areas are locked, and then the corresponding temperature means are sorted, and based on the specific numerical characteristics of the sorting, the color tone partition is specifically confirmed, and based on the confirmation result, the corresponding water leakage signal is generated, which can not only effectively complete the relevant positioning of the water leakage point, but also lock which type of pipeline has a water leakage, and display it in time for external personnel to view, conduct timely maintenance, and take countermeasures. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the process of the present invention;

[0028] Figure 2 A schematic diagram for determining the adjustment of the micro-region of the present invention;

[0029] Figure 3 It is a schematic diagram for determining the circular area of ​​the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] First embodiment

[0032] See also Figure 1 The present application provides a method for quickly locating a pipeline leak, comprising the following steps:

[0033] Step 1: Perform thermal imaging of the water pipe inside the wall based on a thermal imaging detector, and perform numerical analysis on the thermal imaging image generated by the water pipe. Based on the numerical verification result, determine the abnormal area. Specifically, when analyzing and processing the leakage of the water pipe, generally use a related thermal imager for imaging analysis. Generally, the abnormal area is confirmed by manual observation. Manual observation is not accurate for subtle changes, so it is necessary to analyze the RGB values ​​of the imaging points in the corresponding area to confirm the relevant regional abnormalities, thereby locking the abnormal partition;

[0034] The specific sub-steps for determining the abnormal area are:

[0035] S11. Based on the specific thermal imaging processing process of the water pipeline, confirm the thermal imaging image of the entire water pipeline, confirm the RGB value associated with each pixel point in the thermal imaging image, and calibrate the confirmed RGB value as R i , where i represents different pixel positions;

[0036] S12, the R between adjacent pixels i Perform numerical verification to lock similar areas: Based on the R associated with two adjacent pixels i After the difference processing, the absolute value JD is taken, and the determined absolute value JD is checked with the preset value Y1. If JD≤Y1, two adjacent pixel points are divided into similar points, and the area covered by several similar points is marked as the similar area, where Y1 is the preset value, and its specific value is determined by the operator based on experience. If JD>Y1, no relevant calibration of similar points is performed. For example: Y1 is set to a value of 5, and there are three points A, B and C, where the RGB value corresponding to A is 21, the RGB value corresponding to B is 22, and the RGB value corresponding to C is 27. Based on the determination process between adjacent pixel points, A and B belong to the same type of points, and B and C belong to the same type of points, so the areas covered by A, B and C belong to the same type of areas;

[0037] S13, based on the similar areas determined in the thermal imaging image, other areas that are not classified into the similar areas are marked as abnormal areas, and the points inside the abnormal area are not the same as the similar points. The reason why the abnormal area exists is that the corresponding color tone is inconsistent with the color tone of other areas, so the corresponding abnormal area can be directly determined;

[0038] Step 2: Based on the determined abnormal area, the center point of the abnormal area is preferentially determined, and two groups of associated vertical lines are constructed based on the determined center point, so that the two groups of associated vertical lines are rotated according to the center point, and based on each group of rotation process, the temperature data of the area between adjacent associated vertical lines is analyzed, and based on the analysis results, the maximum deviation temperature zone is locked. Specifically, in order to achieve a more accurate assessment, it is necessary to lock the temperature area with the largest temperature difference from the determined abnormal area, and perform data analysis on such temperature areas to assess whether such abnormal area belongs to a warm tone area or a cold tone area;

[0039] The specific sub-steps of locking the maximum deviation temperature zone are as follows:

[0040] S21, based on the edge contour of the abnormal area, the edge contour is placed in a set of two-dimensional coordinate systems, and the point coordinates of the internal points of the edge contour are confirmed from the two-dimensional coordinate system, the point coordinates of several internal points are averaged to determine the average point, and the average point is marked in the edge contour to determine the center point of the abnormal area;

[0041] S22. Based on the determined center point, two sets of mutually perpendicular correlation vertical lines are constructed, and the vertical points of the two sets of correlation vertical lines coincide with the center point, so that both end points of the correlation vertical lines fall on the edge contour of the abnormal area. The constructed correlation vertical lines divide the abnormal area into four groups of micro-areas, and the temperature data of different points inside each group of micro-areas are confirmed and calibrated as WD k , where k represents different points, and several temperature data WD confirmed in the same group of micro-areas k Perform variance processing to confirm the standard variance Fc;

[0042] S23, rotating the constructed associated vertical line along the center point until the corresponding associated vertical line rotates back to the initial position, performing variance processing on a plurality of temperature data of different micro-regions generated in each group of rotation processes and confirming the standard variance of the corresponding micro-region, selecting a maximum value from a plurality of standard variances based on different standard variances generated in different micro-regions in each different rotation process, calibrating the rotation process associated with the maximum value as the standard process, and calibrating the micro-region associated with the maximum value in the standard process as the maximum deviation temperature zone;

[0043] Combination Figure 2Based on the determined abnormal area and the overall edge contour of such abnormal area, the center point of the abnormal area is locked. Based on the confirmed center point, two sets of mutually perpendicular associated vertical lines are constructed, and the two endpoints of the associated vertical lines are both located on the edge contour of the abnormal area. Based on the specific rotation direction, the associated vertical lines are rotated accordingly. When the associated vertical lines rotate, their endpoints are still located on the corresponding edge contour, that is, the length of the associated vertical lines changes in real time. Therefore, during the rotation of the associated vertical lines, the range of the micro-area also changes accordingly. Based on the specific change process, the standard deviation associated with the corresponding micro-area can be locked. Based on the specific rotation analysis and processing process, the corresponding maximum deviation temperature zone can be locked from the specific rotation analysis and processing process, thereby facilitating the subsequent temperature analysis to determine the relevant confirmation of cold and warm tones.

[0044] Second embodiment

[0045] This embodiment is mainly used for the relevant confirmation of the warm and cold color partitions of the temperature zone;

[0046] Step 3: Based on the determined maximum deviation temperature zone, diffuse from the center point to the outside, generate equidistant circular rings in sequence, and confirm the mean temperature of each circular ring area. Sort several mean temperatures by sorting from the center point to the outside, determine the mean temperature sequence, and analyze the mean temperature sequence to confirm whether this abnormal area belongs to the warm tone partition or the cold tone partition. Specifically, the mean temperature arrangement of the corresponding partition has corresponding arrangement characteristics, that is, the corresponding change process of temperature. When the temperature gradually decreases, it means that this area belongs to the cold tone partition. When the corresponding temperature gradually rises, it means that this area belongs to the warm tone partition. Its temperature gradually rises outward. The warm tone partition belongs to the hot water pipe leakage, so a warm tone partition will be generated. Its cold tone partition belongs to the cold water pipe leakage. When its water drops down, a corresponding cold tone partition will be generated. Among them, the specific sub-steps for confirmation are:

[0047] S31. Based on the determined center point of the maximum deviation temperature zone and the abnormal area, a circle is constructed with the center point as the center. The radius of the initial circle is Y2, the radius of the second group of circles is 2Y2, the radius of the third group of circles is 3Y2, and so on. When the constructed circle does not intersect with the maximum deviation temperature zone, the circle is deleted. Y2 is a preset value, and its specific value is determined by the operator based on experience. The area between adjacent circles and inside the maximum deviation temperature zone is marked as a circular ring area, and the area between the first group of circles or the last group and the maximum deviation temperature zone is also marked as a circular ring area. Figure 2As shown, the area between the rings belongs to the ring area, the area between the first group of rings and the center point also belongs to the ring area, and the area between the last group of rings and the maximum deviation temperature zone also belongs to the corresponding ring area;

[0048] S32, based on the several groups of temperature data included in the circular area, performing mean processing on the several groups of temperature data to determine the temperature mean belonging to the corresponding circular area, and then sorting the several temperature mean values ​​in a manner of sorting from the center point outward to determine the mean temperature sequence belonging to the maximum deviation temperature zone;

[0049] S33, comparing the mean values ​​of adjacent temperatures in the mean temperature sequence, and assigning a value of 1 if the mean value of the current temperature group is less than the mean value of the next temperature group; and assigning a value of 0 if the mean value of the current temperature group is greater than the mean value of the next temperature group; and when the mean values ​​of adjacent temperatures are equal, no value is assigned;

[0050] When the number of values ​​assigned as 1 is greater than the number of values ​​assigned as 0, the abnormal area is divided into warm-tone partitions;

[0051] When the number of values ​​assigned as 1 is less than the number of values ​​assigned as 0, the abnormal area is divided into a cold-toned area;

[0052] When the number of assigned 1s is the same as the number of assigned 0s, an error signal is generated and the mean temperature sequence is displayed for external personnel to view. External personnel can then confirm the color tone partitioning based on the relevant temperatures displayed within the mean temperature sequence and the specific change process between the temperatures.

[0053] Step 4: Based on the calibrated warm-tone partitions, a hot water pipe leakage signal is generated, and the abnormal area is displayed simultaneously; based on the calibrated cold-tone partitions, a cold water pipe leakage signal is generated, and the abnormal area is displayed simultaneously.

[0054] Specifically, based on the determined warm tone partition, the temperature of such warm tone partition is in an enhanced state from the inside to the outside, so it is a hot water pipe leakage situation, so the corresponding hot water pipe leakage signal is directly generated, and the temperature of the corresponding cold tone partition is in a decreased state from the inside to the outside, so it is a cold water pipe leakage situation, so the corresponding cold water pipe leakage signal is directly generated.

[0055] Third embodiment

[0056] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0057] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0058] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for quickly locating a pipeline leak, characterized in that: The following steps are involved: Step 1: Perform thermal imaging of the water pipe inside the wall using a thermal imaging detector, perform numerical analysis on the thermal imaging image generated by the water pipe, and determine the abnormal area based on the numerical verification result; Step 2: Based on the determined abnormal area, the center point of the abnormal area is preferentially determined, and two sets of associated vertical lines are constructed based on the determined center point, so that the two sets of associated vertical lines are rotated according to the center point, and based on each set of rotation process, the temperature data of the area between adjacent associated vertical lines is analyzed, and based on the analysis results, the maximum deviation temperature zone is locked; Step 3: Based on the determined maximum deviation temperature area, equidistant circular rings are generated in sequence from the center point to the outside, and the mean temperature of each circular ring area is confirmed. Several mean temperatures are sorted in a way of sorting from the center point to the outside, and the mean temperature sequence is determined. The mean temperature sequence is analyzed to confirm whether the abnormal area belongs to the warm tone partition or the cold tone partition; Step 4: Based on the calibrated warm-tone partitions, a hot water pipe leakage signal is generated, and the abnormal area is displayed simultaneously; based on the calibrated cold-tone partitions, a cold water pipe leakage signal is generated, and the abnormal area is displayed simultaneously.

2. A method for quickly locating a pipeline leak according to claim 1, characterized in that: In step 1, the specific sub-steps of determining the abnormal area are: S11. Based on the specific thermal imaging processing process of the water pipeline, confirm the thermal imaging image of the entire water pipeline, confirm the RGB value associated with each pixel point in the thermal imaging image, and calibrate the confirmed RGB value as R i , where i represents different pixel positions; S12, the R between adjacent pixels i Perform numerical verification to lock similar areas: Based on the R associated with two adjacent pixels i After the difference processing, the absolute value JD is taken, and the determined absolute value JD is compared with the preset value Y1. If JD≤Y1, two adjacent pixel points are divided into similar points, and the area covered by several similar points is marked as a similar area, where Y1 is the preset value; S13. Based on the similar areas determined in the thermal imaging image, other areas that are not classified into the similar areas are marked as abnormal areas.

3. A method for quickly locating a pipeline leak according to claim 2, characterized in that: In the step S12, if JD>Y1, no relevant calibration is performed for the same type of points.

4. A method for quickly locating a pipeline leak according to claim 1, characterized in that: In step 2, the specific sub-steps of locking the maximum deviation temperature zone are: S21, based on the edge contour of the abnormal area, the edge contour is placed in a set of two-dimensional coordinate systems, and the point coordinates of the internal points of the edge contour are confirmed from the two-dimensional coordinate system, the point coordinates of several internal points are averaged to determine the average point, and the average point is marked in the edge contour to determine the center point of the abnormal area; S22. Based on the determined center point, two sets of mutually perpendicular correlation vertical lines are constructed, and the vertical points of the two sets of correlation vertical lines coincide with the center point, so that both end points of the correlation vertical lines fall on the edge contour of the abnormal area. The constructed correlation vertical lines divide the abnormal area into four groups of micro-areas, and the temperature data of different points inside each group of micro-areas are confirmed and calibrated as WD k , where k represents different points, and several temperature data WD confirmed in the same group of micro-areas k Perform variance processing to confirm the standard variance Fc; S23, rotating the constructed associated vertical line along the center point until the corresponding associated vertical line rotates back to the initial position, performing variance processing on a number of temperature data of different micro-regions generated in each group of rotation processes and confirming the standard deviation of the corresponding micro-region, selecting a maximum value from a number of standard deviations based on the different standard deviations generated in different micro-regions in each different rotation process, calibrating the rotation process associated with the maximum value as the standard process, and calibrating the micro-region associated with the maximum value in the standard process as the maximum deviation temperature zone.

5. A method for quickly locating a pipeline leak according to claim 1, characterized in that: In step 3, the specific method of confirming that the abnormal area belongs to the warm tone zone is: S31, based on the determined center point of the maximum deviation temperature zone and the abnormal area, a circle is constructed with the center point as the center, the radius of the initial circle is Y2, the radius of the second group of circles is 2Y2, the radius of the third group of circles is 3Y2, and so on, until the constructed circle does not intersect with the maximum deviation temperature zone and deletes the circle, wherein Y2 is a preset value, the area between adjacent circles and inside the maximum deviation temperature zone is marked as a circular ring area, and the area between the first group of circles or the last group and the maximum deviation temperature zone is also marked as a circular ring area; S32, based on the several groups of temperature data included in the circular area, performing mean processing on the several groups of temperature data to determine the temperature mean belonging to the corresponding circular area, and then sorting the several temperature mean values ​​in a manner of sorting from the center point outward to determine the mean temperature sequence belonging to the maximum deviation temperature zone; S33, comparing the mean values ​​of adjacent temperatures in the mean temperature sequence, and assigning a value of 1 if the mean value of the current temperature group is less than the mean value of the next temperature group, and assigning a value of 0 if the mean value of the current temperature group is greater than the mean value of the next temperature group; When the number of values ​​assigned as 1 is greater than the number of values ​​assigned as 0, the abnormal area is divided into warm-tone partitions.

6. A method for quickly locating a pipeline leak according to claim 5, characterized in that: In the step S33, when the number of assigned values ​​1 is less than the number of assigned values ​​0, the abnormal area is divided into a cold tone partition.

7. A method for quickly locating a pipeline leak according to claim 5, characterized in that: In the step S33, when the number of assigned 1s is the same as the number of assigned 0s, an error signal is generated, and the mean temperature sequence is displayed for external personnel to view.

8. A method for quickly locating a pipeline leak according to claim 5, characterized in that: In step S33, when the adjacent temperature means are equal, no assignment is performed.

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