CN114495019A - Real-time monitoring and dynamic feedback method for leakage diseases of pipe gallery - Google Patents
Real-time monitoring and dynamic feedback method for leakage diseases of pipe gallery Download PDFInfo
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Abstract
The invention discloses a real-time monitoring and dynamic feedback method for pipe gallery leakage diseases, which comprises the following steps: periodically acquiring a leakage image of a leakage-prone part; calculating the area of the leakage water area; calculating the flow and the flow speed of the leakage water; carrying out statistical analysis on the calculated flow and flow velocity; comparing the flow and the flow rate obtained by each calculation with the statistical analysis result in the previous stage, and if obvious abnormality exists, sending out a primary early warning; when the primary early warning is sent out, the abnormal result is compared with a grading early warning threshold value, and if the abnormal result reaches the corresponding grading early warning threshold value, a secondary early warning is sent out; when a secondary early warning is sent out, the current monitoring image is stored, and the reason of the occurrence of the water leakage is judged; the treatment of the disease is specifically given according to the conventional treatment method. The invention analyzes the reason of the water leakage, then carries out early warning, and provides corresponding treatment measures aiming at the reason of the water leakage so as to solve the defects of leakage monitoring and prevention in the prior art.
Description
Technical Field
The invention belongs to the technical field of pipe gallery leakage disease control, and particularly relates to a real-time monitoring and dynamic feedback method for pipe gallery leakage diseases.
Background
In recent years, in order to improve the comprehensive bearing capacity of cities and beautify the environment, underground comprehensive pipe galleries are developed rapidly, but the comprehensive pipe galleries are buried underground, and a plurality of parts which are easy to leak water, such as construction joints, exist. If the problem of water leakage cannot be handled in time, the consequences of shortening the service life of equipment, increasing the maintenance cost and the like are caused, and high attention needs to be paid. And the defects of inflexible movement, inaccuracy, incompleteness and the like exist in the detection of the water leakage diseases due to the special and complex environment of underground infrastructure. The existing manual measurement method arranges that workers carry out visual monitoring according to a certain date to judge whether water leakage exists or not, and the visual monitoring is difficult to avoid the condition of misjudgment caused by no standard; the drilling investigation method needs to insert an endoscope after drilling on a working surface to judge the problem of water leakage, and can cause certain influence on the stability of the tunnel; the optical fiber sensing system is less used in the aspect of monitoring the water leakage of the tunnel, and the theory and the application technology are not mature enough; the robot inspection method has the defects that the inspection period is long, the time of the occurrence of the leakage water cannot be monitored in time, meanwhile, due to the particularity of the underground infrastructure, the inspection robot can only monitor the current leakage water flow and cannot monitor the dynamic change process of the leakage water, and therefore the reason of the flow change is difficult to analyze through the flow of the leakage water, and a system capable of quantitatively monitoring the flow speed, the flow and the action range of the position prone to leakage water and dynamically feeding back is needed to ensure that the problem of the leakage water is timely and effectively treated.
Disclosure of Invention
In order to solve the above problems, the present invention aims to provide a real-time monitoring and dynamic feedback method for pipe gallery leakage diseases, which analyzes the reason of the leakage water, then performs early warning, and provides corresponding treatment measures for the reason of the leakage water, so as to solve the defects of leakage monitoring and prevention in the prior art.
The invention is realized by the following steps:
a real-time monitoring and dynamic feedback method for pipe gallery leakage diseases comprises the following steps:
the method comprises the following steps: installing a monitoring device at the position where the pipe gallery is easy to leak, carrying out long-term dynamic monitoring on the pipe gallery in operation, and periodically acquiring a leakage image of the position where the pipe gallery is easy to leak;
step two: calculating the area of a leakage water area according to the collected leakage image;
step three: calculating the flow and the flow velocity of the leakage water according to the area of the leakage water area obtained twice, the time interval of image acquisition and the lining thickness of the acquired image;
step four: carrying out statistical analysis on the calculated flow and flow rate, uploading the statistical analysis result to a monitoring center, and periodically storing representative leakage images;
step five: comparing the flow and the flow rate obtained by each calculation with the statistical analysis result in the previous stage, and if obvious abnormality exists, sending out a primary early warning;
step six: when the primary early warning is sent out, the abnormal result is compared with a grading early warning threshold value, and if the abnormal result reaches the corresponding grading early warning threshold value, a secondary early warning is sent out;
step seven: when a secondary early warning is sent out, the current monitoring image is stored, the monitored image, the flow speed and the flow are compared with the early statistical analysis result, and the reason of the occurrence of the water leakage is judged;
step eight: according to the cause of the leakage water, the disease which is most similar to the leakage disease occurred in the past is analyzed, and the treatment measures of the disease are provided according to the conventional treatment method.
Preferably, in the first step, the easy-to-leak part comprises a structural joint, a concrete cracking part, a threading sleeve and a water collecting well part.
Preferably, in the step one, the image acquisition interval is changed along with the flood season and the non-flood season.
Preferably, in the third step, the flow rate of the leakage water is calculated according to the following formula:
in the formula, T represents the flow rate of the leakage water, s represents the area of the leakage water area, and H represents the thickness of the lining at the leakage water position;
the flow rate is calculated as follows:
where v represents the flow of leakage water, t represents the time between two monitoring, s1Represents the area of leakage water measured at the 1 st time, s2Representing the area of leakage water measured at 2 nd time.
Preferably, in the fourth step, the image acquisition interval is dynamically adjusted according to the flow rate statistical analysis result, the initial sampling interval is 1 minute each time, the interval of the next time is determined by the flow rate measured last time and this time, the next sampling interval is 0.75 times of the previous sampling interval when a certain flow rate is greater than the previous flow rate, and the next sampling interval is 1.25 times of the previous sampling interval when the certain flow rate is less than the previous flow rate.
Preferably, in the sixth step, the second-stage early warning specifically includes:
(1) when the flow rate is less than or equal to 100 ml/min, judging that the leakage degree of the lining is slight, the safety level is I level, the safety condition is safe, and sending I level early warning;
(2) when the flow rate is less than 500 ml/min and is less than 100 ml/min, judging that the lining leakage degree is general, the safety level is level II, the safety condition is potentially unsafe, and sending out II early warning;
(3) when the flow rate is more than or equal to 500 ml/min, judging that the leakage degree of the lining is serious, the safety level is III level, the safety condition is unsafe, and sending out III level early warning.
Preferably, in the seventh step, the Hausdorff distance is adopted to determine the cause of the water leakage, specifically:
calculating a Hausdorff distance between the monitored data and the previously monitored data, the Hausdorff distance being calculated using the following formula:
in the formula, H (A, B) is a bidirectional Hausdorff distance, H (A, B) and H (B, A) are unidirectional Hasudorff distances from A to B and from B to A, A represents a leakage water flow velocity data set monitored when an early warning is sent out at this time, B represents a previously stored leakage water flow velocity data set, and a and B are elements in the data set respectively.
Preferably, in the seventh step, the reason for the water leakage includes:
(1) the water quantity is increased in the flood season, so that the flow speed of leakage water is increased;
(2) the structural deformation and cracking cause the flow velocity of leakage water to increase;
(3) water leakage caused by concrete defects or deterioration.
Preferably, according to the reason analyzed in the step seven, the processing measures taken in the step eight include:
(1) comparing the variation trend of the leakage water flow rate in the same period to determine whether the leakage water flow rate is increased due to the increase of the water amount in the flood season, and if the error between the variation trend of the flow rate and the variation trend of the leakage water in the same period is not more than 10%, determining that the leakage water flow rate is in a normal condition and not processing the leakage water flow rate; if the change of the water leakage flow speed is not influenced by the flood season, the change trend of the water leakage flow speed is continuously compared;
(2) if the variation trend of the water leakage is consistent with the damage caused by the deformation and cracking of the structure, detecting the structure, and treating the continuously enlarged structure cracks to eliminate the structure cracks;
(3) if the variation trend of the water leakage is consistent with the defects of the concrete or the diseases caused by deterioration, the concrete is simply treated to prevent and treat the water leakage diseases.
Preferably, the method further comprises the following step nine: and dynamically feeding back and correcting the grading early warning threshold according to a long-term monitoring result.
Compared with the prior art, the invention has the beneficial effects that: the method for monitoring the leakage diseases of the pipe gallery in real time and dynamically feeding back the leakage diseases of the pipe gallery has the following remarkable beneficial effects:
(1) the problem of water leakage is quantitatively analyzed by using an image processing technology, and the problem of water leakage is accurately judged;
(2) the method comprises the steps of carrying out long-term dynamic monitoring on a pipe gallery in operation, simultaneously keeping long-term data for analysis, judging the reason of the occurrence of the leakage water according to the data obtained by monitoring, and comparing with an inspection robot, the inspection robot can only detect the change of the amount of the leakage water and cannot deduce the reason of the occurrence of the leakage water according to the change of the amount of the leakage water; some water leakage is caused by the fact that the structure deforms and cracks, the flow speed is increased continuously due to the fact that cracks are accumulated continuously, and the structure needs to be processed; some of the water leakage caused by the defect or deterioration of the concrete can be simply treated;
(3) the method comprises the steps of carrying out graded early warning on the problem of water leakage, wherein the graded early warning is divided into two-grade early warning, the primary early warning represents that monitoring data of a pipe gallery are obviously abnormal, an orange alarm is sent out in advance, early finding, early prevention and early taking measures are carried out, the secondary early warning represents that the grading early warning threshold value is compared, and a current monitoring image is stored when the secondary early warning is sent out, so that the monitored image is compared, and meanwhile, flow rate and flow data are compared, the image is visually qualitative analysis, and the data is quantitative analysis, so that the accuracy of the monitoring analysis is improved; simultaneously, reduce the work load that artifical patrolled and examined, reduce piping lane fortune dimension cost.
(4) The second-stage early warning is divided into three early warnings of different levels I, II and III according to the grading early warning threshold value, the reason of the occurrence of the leakage water is judged, and a targeted disposal measure is provided according to the analysis of the reason of the occurrence of the leakage water.
(5) The urban comprehensive pipe gallery in China is built on a large scale only after 2015 years, the operation time is short, the current leakage water disease early warning mainly refers to the standard specification of tunnel engineering, but the pipelines in the pipe gallery are numerous and are more complex compared with the conventional tunnel engineering, and the leakage water diseases are likely to cause a series of chain accidents on the pipelines in the pipe gallery, so that the method disclosed by the invention is especially important for reducing the pipe gallery accidents by feeding back and correcting the early warning standard through long-term monitoring, qualitative and quantitative data analysis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, shall fall within the scope covered by the technical contents disclosed in the present invention.
FIG. 1 is a schematic overall flow chart of a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of an image processing flow according to a preferred embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the present invention is described in further detail below with reference to the embodiments and the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present invention, the terms "comprises/comprising," "consisting of … …," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product, apparatus, process, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product, apparatus, process, or method if desired. Without further limitation, an element defined by the phrases "comprising/… …", "consisting of … …" does not exclude the presence of additional like elements in a product, device, process or method that comprises the element.
It is to be understood that, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are intended to be open-ended, i.e., to mean either a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
It will be further understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," "center," and the like are used in an orientation or positional relationship illustrated in the drawings for convenience in describing and simplifying the invention, and do not indicate or imply that the device, component, or structure being referred to must have a particular orientation, be constructed in a particular orientation, or be operated in a particular manner, and should not be construed as limiting the invention.
Furthermore, the terms "first", "second", "step one", "step two" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or a limitation on the order of steps or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The following describes the implementation of the present invention in detail with reference to preferred embodiments.
It should be noted that, the description of the present invention using "step one" and "step two" is only for the purpose of textual description and is not to be understood as indicating or implying any limitation on the order of steps, and the order of steps should be understood based on their actual role in the overall technical solution.
The invention discloses a real-time monitoring and dynamic feedback method for pipe gallery leakage diseases, the whole flow of which is shown in figure 1, and the implementation of each link will be explained in detail by combining with specific embodiments.
The method comprises the following steps: installing a monitoring device at the position of the pipe gallery where leakage is easy to occur, dynamically monitoring the pipe gallery in operation for a long time, and periodically collecting leakage images of the position where leakage is easy to occur;
in some embodiments, the installation of the monitoring device is based on the operation experience of the previous pipe gallery, and the monitoring device preferably adopts an industrial camera, so that clear and stable images can be obtained.
The easy water leakage position in the pipe gallery comprises a structure seam, a concrete cracking position, a threading sleeve, a water collecting well and the like.
In order to ensure that the calculated amount is not excessive and leakage water can be fed back in time, the acquisition interval changes with the flood season and the non-flood season, a longer monitoring interval is adopted in the non-flood season to avoid the shortage of excessive data storage capacity, the monitoring interval is shortened in the flood season to ensure that the abnormity of the leakage water can be monitored in time, for Beijing areas, the flood season is mainly 6 months 1 to 9 months 15 days per year, and the precipitation is 373 millimeters in the same year and 395.4 millimeters in the same year in the last decade.
Step two: calculating the area of a leakage water area according to the collected leakage image;
in some embodiments, the present invention collects a color picture of a leakage area, first performs gray scale processing on the collected color picture, converts the color picture into a gray scale picture, and converts the picture into the gray scale picture according to formula 1 by using a weighted average method during the gray scale processing:
in the formula, R, G, B are three primary colors, and x, y, z are weight values of the respective primary colors.
In order to improve the speed and efficiency of image identification, the obtained grayscale image is subjected to binarization processing, the grayscale value of the image is set to be 0 or 255, and an iterative method can be selected for carrying out binarization on the image, i.e. the maximum and minimum grayscale values of the image are firstly obtained and are respectively marked as guAnd giThe first threshold T (0) is obtained according to equation 2:
and calculating the pixel average value below T (0) and the pixel average value above T (0) according to formulas 3 and 4:
in the formula, h (g) represents the number of pixels with the gray value g, the two values are averaged to obtain T (1), if T (0) = T (1), the threshold value is obtained, otherwise, the T (1) is operated again until the two values are equal, and the threshold value is obtained. After binarization, the gray value of the gray image can be converted to 0 or 255.
Analyzing the binarized image to obtain the area of the leakage water, namely obtaining the total number of pixel points at the leakage position, and calculating according to a formula 5:
in the formula, f (x, y) is a binary image, the value is 0 or 1, 0 represents a water leakage area, 1 represents a water leakage area, and the area of the water leakage area can be obtained.
Step three: calculating the flow and the flow velocity of the leakage water according to the area of the leakage water area obtained twice, the time interval of image acquisition and the lining thickness of the acquired image;
in some embodiments, the flow rate of the leakage water can be obtained from equation 6 according to the area of the detected leakage water:
in the formula, s represents the area of the leakage water, H represents the thickness of the lining at the leakage water position, which can be obtained by the design data of the pipe gallery, and T represents the flow rate of the leakage water;
the flow rate can be expressed as:
where t represents the time between two monitoring, which is obtained from the set monitoring frequency, s1Represents the area of leakage water measured at the 1 st time, s2Representing the area of leakage water measured at 2 nd time.
Step four: carrying out statistical analysis on the calculated flow and flow rate, uploading the statistical analysis result to a monitoring center, and periodically storing representative leakage images; it will be readily appreciated that one skilled in the art can select representative images of the leak based on the circumstances, such as where the monitored image is abnormal or significantly different from a previous image.
In some embodiments, the flow rate is affected by the sampling interval, the image acquisition interval is dynamically adjusted according to the flow rate statistical analysis result, the initial sampling interval is 1 minute each time, the interval of the next time is determined by the flow rate measured last time and the flow rate measured this time, the next sampling interval is 0.75 times of the previous sampling interval when a certain flow rate is greater than the previous flow rate, and the next sampling interval is 1.25 times of the previous sampling interval when a certain flow rate is less than the previous flow rate, so that the change condition of the leakage water can be timely monitored.
The statistical analysis result may be a rule of evolution of the flow and the flow velocity with time, and a periodicity of the flow and the flow velocity, and for example, a graph of a relation that time is an abscissa and the flow or the flow velocity is an ordinate may be drawn and uploaded to the monitoring center.
Step five: comparing the flow and the flow rate obtained by each calculation with the statistical analysis result in the previous stage, and if obvious abnormality exists, sending out a primary early warning;
generally, according to the specifications, it is normal for the flow rate to be less than 100 ml/min, but if during long-term monitoring a certain data burst increases to 50 ml/min or even 80 ml/min, although it is still not more than 100 ml/min, it is clearly here definitely problematic and needs to be taken into account. The invention adds primary early warning, for example orange early warning can be adopted, so as to achieve the purposes of early discovery, early prevention and early taking measures, and prevent the missing judgment and the erroneous judgment caused by the grading early warning.
Step six: when the primary early warning is sent out, the abnormal result is compared with a grading early warning threshold value, and if the abnormal result reaches the corresponding grading early warning threshold value, a secondary early warning is sent out;
in the invention, the secondary early warning specifically comprises the following steps:
(1) when the flow rate is less than or equal to 100 ml/min, judging that the leakage degree of the lining is slight, the safety level is I level, the safety condition is safe, and sending I level early warning;
(2) when the flow rate is less than 500 ml/min and is less than 100 ml/min, judging that the lining leakage degree is general, the safety level is level II, the safety condition is potentially unsafe, and sending out II early warning;
(3) when the flow rate is more than or equal to 500 ml/min, judging that the leakage degree of the lining is serious, the safety level is III level, the safety condition is unsafe, and sending out III level early warning.
Step seven: when a secondary early warning is sent out, the current monitoring image is stored, the monitored image, the flow speed and the flow are compared with the early statistical analysis result, and the reason of the occurrence of the water leakage is judged;
in some embodiments, the cause of water leakage is compared by separately calculating the Hausdorff distance between the acquired data and the previously monitored data. The Hausdorff distance is calculated using the following formula:
wherein the content of the first and second substances,
in the formula, H (A, B) is a bidirectional Hausdorff distance, H (A, B) and H (B, A) are single Hasudorff distances from A to B and from B to A, A represents a leakage water flow velocity data set monitored when an early warning is sent out at this time, B represents a previously stored leakage water flow velocity data set, and a and B are elements in the data set respectively. In calculating the one-way Hausdorff distance, each point a in the data set A is first calculatediTo the point B in the B set nearest to this pointjThe distance between
After sorting, the maximum value of the distance is taken as h (A, B), namely the one-way Hasedorff distance from A to B, and the same principle from B to A can be calculated. This distance represents the maximum degree of mismatch between the two data sets, so when this data is compared with the previous data, the set of data calculated to be H (a, B) the smallest is the set of data most similar to the trend of the flow rate of this leakage water, and the cause of this leakage water is the same as the matched set of leakage water. Through this step canAnd comparing the data with the monitored data to judge the cause of the water leakage.
In the present invention, the reasons for the water leakage include:
(1) the water quantity is increased in the flood season, so that the flow speed of leakage water is increased;
(2) the structural deformation and cracking cause the flow velocity of leakage water to increase;
(3) water leakage due to concrete defects or deterioration.
Step eight: according to the cause of the leakage water, the disease which is most similar to the leakage disease occurred in the past is analyzed, and the treatment measures of the disease are provided according to the conventional treatment method.
In the invention, the adopted treatment measures comprise:
(1) when the flow rate is greater than 100 ml/hour, firstly comparing the change trend of the flow rate of the leakage water at the same period to determine whether the increase of the flow rate of the leakage water is caused by the increase of the water amount at the flood season, if the error between the change trend of the flow rate and the change trend of the leakage water at the same period is not more than 10%, judging the leakage water to be in a normal condition, and not processing the leakage water;
if the change of the water leakage flow speed is not influenced by the flood season, the change trend of the water leakage flow speed needs to be continuously compared;
(2) if the variation trend of the water leakage is consistent with the damage caused by the deformation and cracking of the structure, detecting the structure, and treating the continuously enlarged structure cracks to eliminate the structure cracks;
(3) if the variation trend of the water leakage is consistent with the defects of the concrete or the diseases caused by deterioration, the concrete is simply treated to prevent and treat the water leakage diseases.
In some embodiments, the present invention further comprises the step nine: according to a long-term monitoring result, after the water leakage disease is treated every time, the flow rate variation trend of the water leakage and treatment measures are correspondingly stored, and dynamic feedback correction is carried out on the grading early warning threshold value so as to adapt to pipe gallery monitoring in different areas and different seasons.
The invention monitors the position of the pipe gallery which is easy to leak water for a long time, calculates the flow rate, the flow rate and the seepage area, can perform synchronous comparative analysis on the obtained parameters after collecting parameters of the seepage water for a longer time, analyzes the time when the seepage water disease is easy to occur, can prepare for preventing the seepage water earlier according to the obtained time, performs grading early warning when the seepage water occurs, can process the seepage water at the first time, and can analyze the cause of the seepage water disease at each period, such as the increase of the seepage water flow speed caused by the increase of the water quantity caused by rainstorm or ice melting, or the increase of the seepage water flow speed caused by the continuous increase of the crack of the structure, according to the causes, can deduce the reason of the increase of the seepage water flow speed according to the monitored data and process the position which needs to be processed in time, play better guard action to the piping lane, prolong the life-span of piping lane.
It will be readily appreciated by those skilled in the art that the above-described preferred embodiments may be freely combined, superimposed, without conflict.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the invention is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (10)
1. A real-time monitoring and dynamic feedback method for pipe gallery leakage diseases is characterized by comprising the following steps:
the method comprises the following steps: installing a monitoring device at the position where the pipe gallery is easy to leak, carrying out long-term dynamic monitoring on the pipe gallery in operation, and periodically acquiring a leakage image of the position where the pipe gallery is easy to leak;
step two: calculating the area of a leakage water area according to the collected leakage image;
step three: calculating the flow and the flow velocity of the leakage water according to the area of the leakage water area obtained twice, the time interval of image acquisition and the lining thickness of the acquired image;
step four: carrying out statistical analysis on the calculated flow and flow rate, uploading the statistical analysis result to a monitoring center, and periodically storing representative leakage images;
step five: comparing the flow and the flow rate obtained by each calculation with the statistical analysis result in the previous stage, and if obvious abnormality exists, sending out a primary early warning;
step six: when the primary early warning is sent out, the abnormal result is compared with a grading early warning threshold value, and if the abnormal result reaches the corresponding grading early warning threshold value, a secondary early warning is sent out;
step seven: when a secondary early warning is sent out, the current monitoring image is stored, the monitored image, the flow speed and the flow are compared with the early statistical analysis result, and the reason of the occurrence of the water leakage is judged;
step eight: according to the cause of the leakage water, the disease which is most similar to the leakage disease occurred in the past is analyzed, and the treatment measures of the disease are provided according to the conventional treatment method.
2. The method of claim 1, wherein: in the first step, the easy-to-leak part comprises a structural joint, a concrete cracking part, a threading sleeve and a water collecting well part.
3. The method of claim 1, wherein: in the first step, the image acquisition interval changes with flood seasons and non-flood seasons.
4. The method of claim 1, wherein: in the third step, the flow of the leakage water is calculated according to the following formula:
in the formula, T represents the flow rate of the leakage water, s represents the area of the leakage water area, and H represents the thickness of the lining at the leakage water position;
the flow rate is calculated as follows:
where v represents the flow of leakage water, t represents the time between two monitoring, s1Represents the area of leakage water measured at the 1 st time, s2Representing the area of leakage water measured at 2 nd time.
5. The method of claim 1, wherein: in the fourth step, the image acquisition interval is dynamically adjusted according to the flow rate statistical analysis result, the initial sampling interval is 1 minute each time, the interval of the next time is determined by the flow rate measured last time and this time, the next sampling interval is 0.75 times of the previous sampling interval under the condition that the flow rate of a certain time is greater than the flow rate of the last time, and the next sampling interval is 1.25 times of the previous sampling interval under the condition that the flow rate of a certain time is less than the flow rate of the last time.
6. The method of claim 1, wherein: in the sixth step, the secondary early warning specifically comprises:
(1) when the flow rate is less than or equal to 100 ml/min, judging that the leakage degree of the lining is slight, the safety level is I level, the safety condition is safe, and sending I level early warning;
(2) when the flow rate is less than 500 ml/min and is less than 100 ml/min, judging that the lining leakage degree is general, the safety level is level II, the safety condition is potentially unsafe, and sending out II early warning;
(3) when the flow rate is more than or equal to 500 ml/min, judging that the leakage degree of the lining is serious, the safety level is III level, the safety condition is unsafe, and sending out III level early warning.
7. The method of claim 1, wherein: in the seventh step, the Hausdorff distance is adopted for judging the reason of the occurrence of the water leakage, and the method specifically comprises the following steps:
calculating a Hausdorff distance between the monitored data and the previously monitored data, the Hausdorff distance being calculated using the following formula:
in the formula, H (A, B) is a bidirectional Hausdorff distance, H (A, B) and H (B, A) are unidirectional Hasudorff distances from A to B and from B to A, A represents a leakage water flow velocity data set monitored when an early warning is sent out at this time, B represents a previously stored leakage water flow velocity data set, and a and B are elements in the data set respectively.
8. The method of claim 1, wherein: in the seventh step, the reason for water leakage includes:
(1) the water quantity is increased in the flood season, so that the flow speed of leakage water is increased;
(2) the structural deformation and cracking cause the flow velocity of leakage water to increase;
(3) water leakage caused by concrete defects or deterioration.
9. The method of claim 8, wherein: according to the reason analyzed in the step seven, the processing measures adopted in the step eight comprise the following steps:
(1) comparing the variation trend of the leakage water flow rate in the same period to determine whether the leakage water flow rate is increased due to the increase of the water amount in the flood season, and if the error between the variation trend of the flow rate and the variation trend of the leakage water in the same period is not more than 10%, determining that the leakage water flow rate is in a normal condition and not processing the leakage water flow rate; if the change of the water leakage flow speed is not influenced by the flood season, the change trend of the water leakage flow speed is continuously compared;
(2) if the variation trend of the water leakage is consistent with the damage caused by the deformation and cracking of the structure, detecting the structure, and treating the continuously enlarged structure cracks to eliminate the structure cracks;
(3) if the variation trend of the water leakage is consistent with the defects of the concrete or the diseases caused by deterioration, the concrete is simply treated to prevent and treat the water leakage diseases.
10. The method of claim 1, wherein: the method also comprises the ninth step: and dynamically feeding back and correcting the grading early warning threshold according to a long-term monitoring result.
Priority Applications (1)
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