Leakage detection method and system for anti-seepage layer in constructed wetland construction

Abstract

The present application relates to the technical field of leakage detection, in particular to a method and system for detecting leakage of an anti-seepage layer in the construction of an artificial wetland, which determines the seepage time period in which each electrode grid may produce seepage by analyzing the changes in the potential difference data and humidity data of the electrode grid below the anti-seepage layer; based on the seepage time period, analyzes the coincidence of liquid diffusion between different electrode grids, and divides the electrode grid into several diffusion regions; divides the diffusion regions into suspected damage regions and diffusion interaction regions, and analyzes the area relationship between the suspected damage regions and the diffusion interaction regions to obtain the seepage damage probability of the diffusion region corresponding to each electrode grid; and according to the seepage damage probability, marks the leakage point region. Through the present application, the region where the anti-seepage layer may be damaged and diffused can be more accurately positioned, the accuracy of identifying the specific position of the anti-seepage layer where leakage occurs is improved, and the credibility of the leakage detection result of the anti-seepage layer is further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of leakage detection, in particular to a leakage detection method and system for anti-seepage layer in the construction of artificial wetlands. BACKGROUND

[0002] Natural wetlands are being lost in large quantities due to the intervention of urbanization, agricultural development and other behaviors. In order to balance ecological development, attempts are being made to artificially construct artificial wetlands, which to some extent make up for the losses caused by the lack of natural wetlands. In the construction of artificial wetlands, the anti-seepage layer is one of the core basic structures, and its core role is to prevent untreated sewage or rainwater from seeping directly into the ground, polluting the soil and groundwater, and at the same time to ensure that the sewage flows in the wetland according to the design path to achieve effective purification, so it is necessary to monitor the leakage of the anti-seepage layer.

[0003] At the present stage, high-density electrical method is usually used for continuous leakage detection of artificial wetlands. This method will lay an electrode grid on the surface of the concave land where the artificial wetland needs to be built before the artificial wetland is formally constructed, and then lay the anti-seepage layer above the electrode grid to cover it completely. Under normal circumstances, the anti-seepage layer blocks the liquid in the artificial wetland above its surface, and at this time the potential difference data recorded by the electrode grid will not be affected by the flow of liquid and will basically remain unchanged. When the anti-seepage layer is damaged, the liquid in the artificial wetland will penetrate through the damaged part to the electrode grid, and since the liquid has high conductivity (usually >2000 μS / cm), it will destroy the low conductivity (usually 100~500 μS / cm) of the electrode grid in the penetration range, causing the potential difference data recorded by the electrode grid covered in the penetration range to decrease significantly.

[0004] However, in the actual process, the anti-seepage layer may be damaged at multiple locations at the same time, and the damage degree of each damage location is different, and the distance between the locations is different, resulting in different plane penetration conditions of the liquid in the artificial wetland below the anti-seepage layer, and the penetration areas of different damage locations in the electrode grid overlap to different degrees, so that the specific location of the anti-seepage layer where the leakage occurs cannot be accurately identified, resulting in inaccurate leakage detection results of the anti-seepage layer. SUMMARY

[0005] In order to solve the above technical problems, the purpose of the present application is to provide a leakage detection method and system for anti-seepage layer in the construction of artificial wetlands.

[0006] According to the first aspect of the embodiment of the present application, a leakage detection method for anti-seepage layer in the construction of artificial wetlands is provided, and the technical solution is as follows:

[0007] Collecting the potential difference data and humidity data of each electrode grid below the anti-seepage layer at each time;

[0008] based on the humidity data and the potential difference data, respectively analyze the changes of humidity and potential difference in the electrode grid, and determine a permeation time period in which each electrode grid is likely to produce permeation;

[0009] based on the permeation time period, analyze the coincidence of liquid diffusion between different electrode grids, and divide the electrode grid into several diffusion regions;

[0010] divide the diffusion region of the electrode grid into a suspected damage region and a diffusion interaction region, analyze the area relationship between the suspected damage region and the diffusion interaction region, and obtain a permeation damage probability of the diffusion region corresponding to each electrode grid;

[0011] According to the permeation damage probability, mark the leakage point region.

[0012] In some embodiments of the present application, based on the humidity data and the potential difference data, respectively analyze the changes of humidity and potential difference in the electrode grid, and determine a permeation time period in which each electrode grid is likely to produce permeation, including:

[0013] based on the humidity data, analyze the humidity change in the electrode grid, and obtain a permeation start time in which each electrode grid is likely to produce permeation;

[0014] based on the potential difference data, analyze the potential difference change in the electrode grid, and obtain a permeation end time in which each electrode grid is likely to produce permeation;

[0015] According to the permeation start time and the permeation end time, determine a permeation time period in which each electrode grid is likely to produce permeation.

[0016] In some embodiments of the present application, based on the humidity data, analyze the humidity change in the electrode grid, and obtain a permeation start time in which each electrode grid is likely to produce permeation, including:

[0017] based on the humidity data, calculate the slope of the humidity data corresponding to all adjacent time points to obtain a humidity slope sequence;

[0018] a preset humidity change slope threshold is set;

[0019] a time period formed by the time point corresponding to the humidity data in which the humidity slope in the humidity slope sequence is greater than the humidity change slope threshold for the first time is taken as a humidity change period in which the electrode grid is likely to produce permeation, and a permeation start time in which the electrode grid is likely to produce permeation is obtained;

[0020] and, based on the potential difference data, analyzing the potential difference change in the electrode grid to obtain an end time of permeation of each electrode grid possibly generating permeation, including:

[0021] Based on the potential difference data, the slope of the potential difference data corresponding to all adjacent time points is calculated to obtain a potential difference slope sequence.

[0022] A preset potential difference change slope threshold is set.

[0023] The time period formed by the time point corresponding to the potential difference data in the potential difference slope sequence when the potential difference slope is first continuously greater than the potential difference change slope threshold is taken as a potential difference change period of the electrode grid possibly generating permeation, and an end time of permeation of the electrode grid possibly generating permeation is obtained.

[0024] In some embodiments of the present application, the permeation time period includes a humidity change period, a transition period and a potential difference change period.

[0025] In some embodiments of the present application, based on the permeation time period, the coincidence of liquid diffusion between different electrode grids is analyzed, and the electrode grid is divided into several diffusion regions, including:

[0026] The electrode grid that has already existed in the permeation time period is taken as a permeation grid at the current time, and the region formed by the permeation grids that have mutual borders is taken as a permeation region.

[0027] According to the length of the transition period, the permeation spreading property of each permeation grid is analyzed, and the permeation diffusion intensity of each permeation grid at the current time is obtained in combination with the humidity data in the permeation time period.

[0028] According to the distance relationship between the permeation grid at the edge of the permeation region and the center, the permeation region is divided into a single-breakage permeation region and a multi-breakage permeation region, and one single-breakage permeation region corresponds to one diffusion region.

[0029] According to the permeation diffusion intensity, in combination with the potential difference data, the diffusion circle interaction feature formed when liquid permeates in the multi-breakage permeation region is analyzed, and the diffusion region of each permeation grid in the multi-breakage permeation region at the current time is obtained, so as to realize the division of the permeation grid into several diffusion regions.

[0030] In some embodiments of the present application, according to the permeation diffusion intensity, in combination with the potential difference data, the diffusion circle interaction feature formed when liquid permeates in the multi-breakage permeation region is analyzed, and the diffusion region of each permeation grid in the multi-breakage permeation region at the current time is obtained, including:

[0031] Taking any one of the penetration grids in the multi-breakage penetration area as a center, one electrode grid as a step, and sequentially diffusing one circle outwardly,

[0032] According to the penetration diffusion intensity, in combination with the potential difference data, the penetration outward diffusion of the penetration grid when diffusing to the latest diffusion circle is calculated in real time;

[0033] According to the penetration outward diffusion, the diffusion area of each penetration grid in the multi-breakage penetration area at the current time is obtained.

[0034] In some embodiments of the present application, according to the penetration outward diffusion, the diffusion area of each penetration grid in the multi-breakage penetration area at the current time is obtained, including:

[0035] A preset diffusion threshold is set;

[0036] Taking any one of the penetration grids in the multi-breakage penetration area as a center, one electrode grid as a step, and sequentially diffusing one circle outwardly, until the penetration outward diffusion of the penetration grid when diffusing to the latest diffusion circle is less than the diffusion threshold for the first time or diffusing to the edge of the multi-breakage penetration area, the diffusion is stopped, the area contained in the latest diffusion circle is taken as the diffusion area of the penetration grid, and the diffusion area of each penetration grid in the multi-breakage penetration area at the current time is obtained.

[0037] In some embodiments of the present application, the diffusion area of the electrode grid is divided into a suspected breakage area and a diffusion interaction area, including:

[0038] The part of the diffusion area of the electrode grid which does not coincide with the diffusion area of all other electrode grids is taken as the suspected breakage area of the electrode grid, and the remaining part is taken as the diffusion interaction area of the electrode grid.

[0039] According to a second aspect of the embodiments of the present application, a kind of anti-seepage layer leakage detection system for artificial wetland construction is provided, including: memory and processor, wherein:

[0040] The memory is used to store program code;

[0041] The processor is used to read the program code stored in the memory, and execute the method described in the first aspect of the present application.

[0042] In some embodiments of the present application, the processor includes:

[0043] The data acquisition module is used to acquire the potential difference data and humidity data of each electrode grid under each anti-seepage layer at each time;

[0044] The permeation time period acquisition module is configured to analyze changes in humidity and potential difference in each electrode grid based on the humidity data and the potential difference data, and determine a permeation time period in which each electrode grid is likely to generate permeation;

[0045] The diffusion area division module is configured to analyze coincidence of liquid diffusion between different electrode grids based on the permeation time period, and divide the electrode grids into a plurality of diffusion areas;

[0046] The permeation damage probability analysis module is configured to divide diffusion areas of the electrode grids into suspected damage areas and diffusion interaction areas, analyze area relationships of the suspected damage areas and the diffusion interaction areas, and obtain a permeation damage probability of each diffusion area;

[0047] The leakage point area marking module is configured to mark a leakage point area according to the permeation damage probability.

[0048] Compared with the prior art, the anti-seepage layer leakage detection method and system for constructed artificial wetlands provided by the present application have the following beneficial effects:

[0049] The present application first determines a permeation time period in which each electrode grid is likely to generate permeation by analyzing changes in potential difference data and humidity data of each electrode grid under the anti-seepage layer at each time point; then analyzes coincidence of liquid diffusion between different electrode grids based on the permeation time period, and divides the electrode grids into a plurality of diffusion areas; further divides diffusion areas of the electrode grids into suspected damage areas and diffusion interaction areas, and analyzes area relationships of the suspected damage areas and the diffusion interaction areas, to obtain a permeation damage probability of each diffusion area corresponding to the electrode grid; finally marks a leakage point area according to the permeation damage probability. The present application analyzes mutual interaction and coincidence of areas in which the anti-seepage layer is likely to be damaged and seepage diffuse, based on changes in potential difference and surrounding humidity of the electrode grid laid at the bottom of the anti-seepage layer, divides areas in which damage of the anti-seepage layer is likely to diffuse, removes false damage areas, more accurately locates areas in which damage of the anti-seepage layer is likely to diffuse, improves accuracy of identifying specific positions of the anti-seepage layer in which leakage occurs, and further improves credibility of the leakage detection result of the anti-seepage layer. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art and the advantages thereof, a brief introduction will be given to the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.

[0051] Figure 1 Fig. 1 is a schematic diagram of a basic flow of a method for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to an embodiment of the present application.

[0052] Figure 2 Fig. 2 is a schematic diagram of a basic composition of a system for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to further clarify the technical means and effects taken by the present application to achieve the predetermined object, the method and system for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to the present application, the specific implementation, structure, features and effects thereof are described in detail below in combination with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terms such as "comprise", "comprising" or any other variant thereof are intended to cover a non-exclusive inclusion, such that a circuit structure, article or apparatus that includes a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such article or apparatus. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the article or apparatus comprising the element.

[0055] The specific scheme of the method for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to the present application is described in detail below in combination with the drawings.

[0056] Referring to Figure 1 , a basic flow of the method for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to an embodiment of the present application is shown.

[0057] As shown in Figure 1 , the method for detecting leakage of a seepage-proof layer in construction of a constructed wetland according to an embodiment of the present application specifically includes:

[0058] S100: Collecting potential difference data and humidity data of each electrode grid under each time point under the seepage-proof layer.

[0059] Collect the potential difference data and humidity data of each electrode grid under the impermeable layer at each time. Specifically, before the formal construction of the artificial wetland, the electrode grid is laid on the surface of the concave land where the artificial wetland needs to be built, and then the impermeable layer (the impermeable layer material used in this application is HDPE film) is laid on the electrode grid to cover it completely; and a humidity sensor is arranged at the center of each electrode grid, and the potential difference data and humidity data of each electrode grid under the impermeable layer at each time are detected in real time through the data recording platform. In this application, 1s is taken as an example for description.

[0060] S200: Based on the humidity data and the potential difference data, the changes of the humidity and the potential difference in the electrode grid are analyzed respectively to determine the permeation time period in which each electrode grid is likely to produce permeation.

[0061] Since the impermeable layer is located under the artificial wetland, it is difficult for external human intervention and damage, so the impermeable layer usually does not exist human damage, and the damage of the impermeable layer is usually natural damage, such as the roots of the naturally growing plants puncturing the impermeable layer. As known from the above, the damage of the impermeable layer is usually formed slowly, and the damaged area is small at the beginning, and the damaged area gradually increases with the passage of time due to natural wear and tear, such as the gradual thickening and lengthening of the plant roots expanding the damaged cavity. In this natural damage process, the area of the impermeable layer damage is small at the beginning, and the liquid in the artificial wetland is in a natural flowing state, and under the action of the two, the liquid penetrates into the low content under the impermeable layer through the damaged area. When the liquid in the damaged area penetrates into the electrode grid, the disturbance to the original potential difference is not obvious (the low resistance anomaly is covered up) due to the too small liquid content, so that the permeation time period divided only by the change of the potential difference is not complete, and thus the subsequent permeation detection result cannot be obtained in time and accurately. But in the initial stage of permeation, even if only a small amount of liquid penetrates into the area under the impermeable layer, the change of the humidity under the impermeable layer will be more obvious, because even if the original humidity under the impermeable layer is large, it is not as large as the humidity directly contacted with the liquid. Therefore, by comprehensively analyzing the change relationship between the humidity and the potential difference in the same electrode grid, the permeation time period in which each electrode grid is likely to produce permeation can be determined.

[0062] Based on the above analysis, in some embodiments of the present application, based on the humidity data and the potential difference data, the changes of the humidity and the potential difference in the electrode grid are analyzed respectively to determine the permeation time period in which each electrode grid is likely to produce permeation. Further comprising:

[0063] Normally, when the anti-seepage layer begins to be damaged, the liquid level above the anti-seepage layer will inevitably flow into the area below the anti-seepage layer in a small amount, at this time, the humidity around the corresponding damaged area below will inevitably change, resulting in the humidity data detected by the humidity sensor reaching a sudden increase in a certain period of time. Therefore, based on the humidity data, the humidity change in the electrode grid is analyzed to obtain the seepage start time of each electrode grid that may produce seepage. Specifically, taking any one electrode grid as an example, first, the humidity data sequence of the electrode grid at the current time is counted, and then the slope of the humidity data corresponding to all adjacent time points is calculated in the humidity data sequence to obtain the humidity slope sequence; then, a humidity change slope threshold is preset, which can be 0.5; finally, the time period formed by the time point corresponding to the humidity data in the humidity slope sequence that is first continuously greater than the humidity change slope threshold (0.5) is taken as the humidity change period in which the electrode grid may produce seepage, and the start time of the humidity change period is taken as the seepage start time of the electrode grid that may produce seepage. It should be noted that the phrase "first continuously greater than" includes the start time and the end time, the start time refers to the time when it is first greater than the humidity change slope threshold and the subsequent time is also greater than the humidity change slope threshold; the end time refers to the time from the start time to the time when it is first less than the humidity change slope threshold or to the current time. In addition, before the electrode grid is repaired, there is either a humidity change period in which the electrode grid may produce seepage or none.

[0064] Although the damage of the anti-seepage layer starts with a small area, the damaged area will gradually increase over time, causing more and more liquid to flow in, making the current in the corresponding electrode grid flow more in the liquid with high conductivity, reducing the original potential difference, gradually increasing the interference with the potential difference data, and causing the potential difference data of the electrode grid to suddenly increase in a certain period of time. Therefore, based on the potential difference data, the change of the potential difference in the electrode grid is analyzed to obtain the end time of the possible penetration of each electrode grid. Specifically, taking any one electrode grid as an example, first, the potential difference data sequence of the electrode grid at the current time is counted, and then the slope of the potential difference data corresponding to all adjacent time points in the potential difference data sequence is calculated to obtain a potential difference slope sequence; then, a potential difference change slope threshold is preset, which can be 0.5; finally, the time period formed by the time point corresponding to the potential difference data in the potential difference slope sequence that is first continuously greater than the potential difference change slope threshold (0.5) is taken as the potential difference change period in which the electrode grid may produce penetration, and the end time of the potential difference change period is taken as the start time of the penetration in which the electrode grid may produce penetration. It should be noted that before the repair of the anti-seepage layer, the electrode grid either has a potential difference change period in which penetration may occur, or does not have one. Since the damage continues to develop, the potential difference change period exists when the humidity change period exists, and the humidity change period exists when the potential difference change period does not exist (the damage has not developed to affect the potential difference at the beginning).

[0065] After obtaining the start time and the end time of the penetration, the start time of the penetration is taken as the start time of the penetration period in which the electrode grid may produce penetration, and the end time of the penetration is taken as the end time of the penetration period in which the electrode grid may produce penetration, to determine the penetration period in which each electrode grid may produce penetration.

[0066] At this point, the penetration period in which each electrode grid may produce penetration is obtained.

[0067] S300: Based on the penetration period, the coincidence of liquid diffusion between different electrode grids is analyzed, and the electrode grids are divided into several diffusion regions.

[0068] By step S200, the complete time period in which the anti-seepage layer on the same electrode grid can be damaged is determined. At this time, although the entire time process affected by the liquid in the constructed wetland in the same electrode grid has been determined, in the actual scenario of anti-seepage layer damage, the anti-seepage layer can be damaged at multiple locations at the same time, resulting in leakage at multiple locations. The damage degree of each damage location is different, and the distance between them is different, resulting in different plane seepage conditions of the liquid in the constructed wetland under the anti-seepage layer, so that the seepage areas in the electrode grids of different damage locations exist to different degrees. Coincidence, so as to accurately identify the specific location of the anti-seepage layer leakage. Therefore, before identifying the specific location of the anti-seepage layer leakage, the problem of the existence of the coincidence of the seepage areas in the electrode grids of different damage locations needs to be solved first. The formation of this coincidence phenomenon changes gradually in time, so on the basis of the seepage time period, the time sequence coincidence of the liquid diffusion in the constructed wetland between different electrode grids can be analyzed, and the electrode grid can be divided into several diffusion areas in real time.

[0069] Based on the above analysis, in some embodiments of the present application, based on the seepage time period, the coincidence of liquid diffusion between different electrode grids is analyzed, and the electrode grid is divided into several diffusion areas. Further comprising:

[0070] Firstly, at the current time, the electrode grid that has existed for the seepage time period is taken as the seepage grid at the current time, and the area composed of seepage grids that have joint with each other is taken as the seepage area. Among them, there are multiple seepage areas at the current time, and each seepage area contains multiple seepage grids.

[0071] Then, based on the duration of the transition period, the permeability spread of each permeable grid is analyzed. Combined with the humidity data within the permeation period, the permeation diffusion intensity of each permeable grid at the current moment is obtained. Specifically, a single permeation period includes a humidity change period, a transition period, and a potential difference change period. The humidity change period corresponds to the time when the impermeable layer begins to show signs of damage. The potential difference change period corresponds to the time when the impermeable layer has been damaged for a period of time and has significantly affected the potential difference of the electrode grid over time. There is also a period between the humidity change period and the potential difference change period, which is the time when the impermeable layer has been damaged for a period of time but has not significantly affected the electrode grid over time. This period is defined as the transition period. The length of the transition period directly reflects the speed at which a single electrode grid is affected by the permeating liquid and, to some extent, reflects the probability of impermeability of the impermeable layer above a single electrode grid. Therefore, based on the duration of the transition period, the permeability spread of each permeable grid is analyzed. Specifically, in each permeable grid at the current moment, the inverse proportional value of the transition period length is used as the permeability spread of each grid; the larger the value, the faster the corresponding grid is permeated by liquid at the current moment. Based on the permeability spread of the grids, combined with humidity data within the permeation period, the permeation diffusion intensity of each grid at the current moment is obtained. This constructs the permeability spread of the grid at the current moment... The formula for calculating the permeation diffusion intensity of a permeable grid is:

[0072]

[0073] In the formula, Indicates the next time step. The penetration diffusion intensity of each permeable grid; Indicates the next time step. The permeability and spread of a single permeable grid; Indicates the next time step. The total number of moments contained in the infiltration time period of each infiltration grid; Indicates the next time step. During the penetration time period of the first permeable grid, in the 1st Humidity data at a given time.

[0074] The larger the value, the faster the corresponding permeable grid is infiltrated by liquid at the current moment, and the greater the permeation diffusion intensity of the corresponding permeable grid. A larger value indicates a higher average humidity within the corresponding permeable grid during the permeation period at the current moment, and thus a higher permeation diffusion intensity for the corresponding permeable grid; therefore, the permeation diffusion intensity... The greater, the faster the corresponding penetration grid is penetrated by liquid at the current time, and the more obvious the tendency of the liquid in the corresponding penetration grid to spread to other electrode grids.

[0075] The penetration regions obtained at the current time each represent an electrode grid region involved in liquid penetration. There can be at least one damaged region in the impervious layer above each penetration region, i.e., the penetration region includes a single damaged region and multiple damaged regions, and the liquid penetrated by each damaged region to the impervious layer below generally spreads horizontally and circularly around the damaged region, and the spreading intensity is directly determined by the size of the damaged region. If two damaged regions are close to each other, the liquids penetrated by the two damaged regions to the impervious layer below can contact each other when horizontally spreading, and the different penetration and spreading intensities of the two damaged regions can change the spreading of other damaged regions. Therefore, based on the penetration and spreading intensity, the diffusion circle interaction features formed when the liquid penetrates can be analyzed in the same penetration region, and the electrode grid can be divided into several diffusion regions in real time.

[0076] To analyze whether multiple damaged regions exist in a single penetration region, the key is whether a single complete circular spreading condition exists in the penetration region.

[0077] Therefore, after obtaining the penetration and spreading intensity of each penetration grid at the current time, the penetration region is further divided into a single-damaged penetration region and a multiple-damaged penetration region according to the distance relationship between the electrode grids on the edge of the penetration region and the center, and one single-damaged penetration region corresponds to one diffusion region. Specifically, taking any penetration region as an example, the center electrode grid of the penetration region is obtained (the electrode grid at the centroid position of the penetration region can be selected as the center electrode grid, and the prior art), the distances from the edge electrode grids in the penetration region to the center electrode grid are counted, and the normalized value of the average distance of all edge electrode grids in the penetration region to the center electrode grid is calculated as the circular spreading degree of the penetration region. A preset circular spreading degree threshold (the value can be 0.8) is set, if the circular spreading degree of the penetration region is greater than the circular spreading degree threshold 0.8, it indicates that the penetration region contains only one damaged region, and the penetration region is regarded as a single-damaged penetration region; if the circular spreading degree of the penetration region is less than or equal to the circular spreading degree threshold 0.8, it indicates that the penetration region contains multiple damaged regions, and the penetration region is regarded as a multiple-damaged penetration region. One single-damaged penetration region corresponds to one diffusion region.

[0078] In a multiple-damaged penetration region, there can be a relatively obvious diffusion intersection, i.e., the liquids penetrated by different damaged regions contact each other and delay the diffusion at the contact point.

[0079] Therefore, based on the permeation diffusion intensity and potential difference data, the interaction characteristics of the diffusion circles formed during liquid permeation in the multi-damaged permeation region are analyzed to obtain the diffusion region of each permeation grid in the multi-damaged permeation region at the current moment, thus dividing the permeation grid into several diffusion regions. Specifically, taking any one permeation grid in the multi-damaged permeation region as the center, and one permeation grid as the step size (step size is 1), a circle is diffused outwards sequentially; based on the permeation diffusion intensity and potential difference data, the permeation diffusion property when the permeation grid diffuses to the latest diffusion circle is calculated in real time, constructing the first diffusion circle in the multi-damaged permeation region. The formula for calculating the outward diffusivity of permeation when diffusing from a permeation grid to the latest diffusion zone is:

[0080]

[0081] In the formula, Indicates the first in the multi-damaged and infiltrated area Permeation outward diffusion when diffusing from a central permeation grid to the latest diffusion zone; This indicates the first damaged area in the multi-damaged and infiltrated region at the current moment. The penetration diffusion intensity of each permeable grid; Indicates the first The first, centered on the permeable grid The average increase in the current potential difference data of all permeation grids contained in a diffusion zone compared to the corresponding original potential difference data; Indicates the first The first, centered on the permeable grid The average increase in the current potential difference data of all permeation grids contained in a diffusion zone compared to the corresponding original potential difference data; Indicates the first in the multi-damaged and infiltrated area The number of diffusion circles contained in each permeation grid at the latest diffusion circle; This represents the linear normalization function.

[0082] The larger the value, the faster the liquid permeates the permeation grid at the current moment, and the more obvious the tendency of the liquid in the permeation grid to diffuse to other electrode grids. Therefore, the permeation out-diffusion property is the diffusion property when the liquid diffuses from the permeation grid to the latest diffusion zone. This represents the difference in the average potential difference change between two adjacent diffusion rings. A larger value indicates that the average potential difference change of the outer diffusion ring is greater than that of the inner diffusion ring, suggesting a greater ability for the outer diffusion ring to continue diffusing outwards. Therefore, this represents the outward diffusivity of the permeation network when diffusing to the newest diffusion ring. Thus, if the outward diffusivity... The larger the value, the greater the intensity of outward diffusion and permeation of the liquid as it diffuses from the center of the permeation grid to the latest diffusion zone.

[0083] Further, according to the penetration outer diffusion, the diffusion area of each penetration grid in the current time in the multi-breakage penetration area is obtained. A more specific embodiment is that a diffusion threshold is preset, and the value can be 0.5; taking any one penetration grid in the multi-breakage penetration area as the center, an electrode grid as the step, and sequentially diffusing one circle outward, until the penetration grid diffuses to the latest diffusion circle, the penetration outer diffusion is less than the diffusion threshold (0.5) for the first time or diffuses to the edge of the multi-breakage penetration area, the diffusion is stopped, and the area contained in the latest diffusion circle is taken as the diffusion area of the penetration grid, so as to obtain the diffusion area of each penetration grid in the multi-breakage penetration area at the current time.

[0084] In addition, it should be noted that the single-breakage penetration area and the multi-breakage penetration area are both penetration areas; the single-breakage penetration area only has one diffusion area, namely itself; and each penetration grid in the multi-breakage penetration area corresponds to one diffusion area. Thus, one or more diffusion areas in each penetration area are obtained, that is, the electrode grid (penetration grid) in each penetration area is divided into several diffusion areas.

[0085] S400: The diffusion area of the electrode grid is divided into a suspected breakage area and a diffusion interaction area, the area relationship of the suspected breakage area and the diffusion interaction area is analyzed, and the penetration breakage probability of the diffusion area corresponding to each electrode grid is obtained.

[0086] Through step S300, the possible breakage diffusion process of each electrode grid (penetration grid) in the penetration area is preliminarily obtained; in theory, the anti-seepage layer above these electrode grids may have breakage, but in the actual scene, such an assumption does not exist, because the actual scene does not wait until so many breakages occur to repair, and in fact, when three or four breakages occur, the anti-seepage layer is replaced. Therefore, in these diffusion areas, there are some false diffusion areas. Under normal circumstances, if there are multiple breakage areas (multi-breakage penetration area) in the penetration area, these breakage areas will inevitably interact with each other when penetrating and diffusing, and will not be far away, and will form a complete penetration area as a whole. Therefore, according to the distance distribution relationship between different diffusion areas, the rationality of the leakage distribution of the anti-seepage layer breakage position can be analyzed, and the penetration breakage probability of different diffusion areas can be calculated.

[0087] Based on the above analysis, in the embodiments of the present invention, the diffusion region of the electrode grid is divided into a suspected damage region and a diffusion interaction region. The area relationship between the suspected damage region and the diffusion interaction region is analyzed to obtain the penetration damage probability of the diffusion region corresponding to each electrode grid. Specifically, in a multi-damage penetration region, taking the diffusion region corresponding to any one electrode grid (penetration grid) as an example, using the diffusion region of that electrode grid as the standard, the part of the diffusion region of that electrode grid that does not overlap with the diffusion regions of all other electrode grids is taken as the suspected damage region of the electrode grid, and the remaining part is taken as the diffusion interaction region of the electrode grid. The diffusion region corresponding to that electrode grid contains multiple suspected damage regions and one diffusion interaction region.

[0088] It should be noted that due to the limitation of the diffusion threshold (diffusion threshold) condition in step S300 (therefore, this threshold cannot be set too high, but only relatively low), the actual diffusion areas do not intersect. Instead, small areas are retained to separate the various diffusion areas. These small areas are the areas where the diffusion areas intersect. Through the above logical analysis, it can be seen that the actual diffusion areas at most border each other, but they do not significantly interfere with the diffusion of their respective diffusion areas. That is, they can retain their own relatively obvious diffusion characteristics. Therefore, the actual diffusion area here refers to the area that is less affected by the inflow of water from other diffusion areas, while the small area refers to the area that actually borders each other. Intuitively, the actual diffusion area is generally inside the diffusion area, and the small area is generally outside the diffusion area.

[0089] Then, the area relationship between the suspected damaged area and the diffusion interaction area is analyzed to obtain the penetration damage probability of the diffusion area corresponding to each electrode grid, and the first... The formula for calculating the probability of permeation failure in the diffusion region corresponding to each permeation grid is:

[0090]

[0091] In the formula, Indicates the first The probability of penetration damage in each diffusion region; Indicates the first The area of ​​the diffusion interaction region contained in the diffusion region corresponding to each permeation grid; Indicates the first The area of ​​the suspected damaged area contained in the diffusion region corresponding to each permeation grid; Indicates the first The number of suspected damaged areas contained in the diffusion region corresponding to each permeation grid.

[0092] If the probability of penetration and damage The greater, the more the area occupied by the interaction between the remaining suspected damage areas conforms to the area occupied by the liquid contact, and the more the number of the remaining suspected damage areas conforms to the number of the actual possible damage, according to the diffusion area of the electrode grid.

[0093] S500: according to the seepage damage probability, mark the leakage point area.

[0094] In the suspected damage area corresponding to the maximum seepage damage probability in the multi-damage seepage area, the electrode grid located at the center in each suspected damage area is marked as a leakage point area in the data platform; in the single-damage seepage area, the electrode grid located at the center is marked as a leakage point area in the data platform; and the positioning of the seepage specific position of the impermeable layer is completed.

[0095] Based on the same inventive concept as the above method, the embodiment also provides an impermeable layer leakage detection system for artificial wetland construction.

[0096] Please refer to Figure 2 , which shows the basic components of an impermeable layer leakage detection system for artificial wetland construction provided by an embodiment of the present application.

[0097] As shown in Figure 2 , an impermeable layer leakage detection system for artificial wetland construction includes a memory 10 and a processor 20, wherein:

[0098] The memory 10 is used to store program codes;

[0099] The processor 20 is used to read the program codes stored in the memory 10 and perform the following steps: collecting the potential difference data and humidity data of each electrode grid under each electrode grid under each time; based on the humidity data and the potential difference data, analyzing the changes of the humidity and the potential difference in the electrode grid respectively, determining the seepage time period in which each electrode grid is likely to produce seepage; based on the seepage time period, analyzing the coincidence of liquid diffusion between different electrode grids, dividing the electrode grid into several diffusion areas; dividing the diffusion area of the electrode grid into suspected damage areas and diffusion interaction areas, analyzing the area relationship between the suspected damage areas and the diffusion interaction areas, obtaining the seepage damage probability of the diffusion area corresponding to each electrode grid; and marking the leakage point area according to the seepage damage probability.

[0100] Further, the processor 20 includes a data acquisition module 21, a seepage time period acquisition module 22, a diffusion area division module 23, a seepage damage probability analysis module 24, and a leakage point area marking module 25. Among them:

[0101] The data acquisition module 21 is configured to acquire potential difference data and humidity data of each electrode grid under the impervious layer at each time point;

[0102] The permeation time period acquisition module 22 is configured to analyze the change of humidity and the change of potential difference in the electrode grid respectively based on the humidity data and the potential difference data, and determine a permeation time period in which each electrode grid is likely to produce permeation.

[0103] The diffusion region division module 23 is configured to analyze the coincidence of liquid diffusion between different electrode grids based on the permeation time period, and divide the electrode grid into a plurality of diffusion regions.

[0104] The permeation damage probability analysis module 24 is configured to divide the diffusion region of the electrode grid into a suspected damage region and a diffusion interaction region, analyze the area relationship between the suspected damage region and the diffusion interaction region, and obtain a permeation damage probability of each diffusion region.

[0105] The leakage point region marking module 25 is configured to mark a leakage point region according to the permeation damage probability.

[0106] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0107] Various embodiments in the specification are described in a progressive manner, and the same or similar parts between various embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments.

Claims

1. A method for detecting leakage in the impermeable layer during the construction of artificial wetlands, characterized in that, The method comprises: Collecting the potential difference data and humidity data of each electrode grid under the impermeable layer at each time point; Based on the humidity data and the potential difference data, the changes of humidity and potential difference in the electrode grid are analyzed respectively to determine the permeation time period in which each electrode grid is likely to produce permeation; Based on the permeation time period, the coincidence of liquid diffusion between different electrode grids is analyzed, and the electrode grid is divided into several diffusion regions; The diffusion region of the electrode grid is divided into a suspected damaged region and a diffusion interaction region, the area relationship between the suspected damaged region and the diffusion interaction region is analyzed, and the permeation damage probability of the diffusion region corresponding to each electrode grid is obtained; According to the permeation damage probability, the leakage point region is marked; The permeation time period includes a humidity change period, a transition period and a potential difference change period; Based on the permeation time period, the coincidence of liquid diffusion between different electrode grids is analyzed, and the electrode grid is divided into several diffusion regions, including: The electrode grid that has already existed in the permeation time period is taken as the permeation grid at the current time point, and the region formed by the permeation grids that have mutual borders is taken as the permeation region; According to the length of the transition period, the permeation spreading property of each permeation grid is analyzed, and the permeation diffusion intensity of each permeation grid at the current time point is obtained in combination with the humidity data in the permeation time period; According to the distance relationship between the permeation grids at the edge of the permeation region and the center, the permeation region is divided into a single-damaged permeation region and a multi-damaged permeation region, and one single-damaged permeation region corresponds to one diffusion region; According to the permeation diffusion intensity and the potential difference data, the diffusion circle interaction features formed by liquid permeation in the multi-damaged permeation region are analyzed, and the diffusion region of each permeation grid in the multi-damaged permeation region at the current time point is obtained, so as to divide the permeation grid into several diffusion regions; According to the permeation diffusion intensity and the potential difference data, the diffusion circle interaction features formed by liquid permeation in the multi-damaged permeation region are analyzed, and the diffusion region of each permeation grid in the multi-damaged permeation region at the current time point is obtained, including: Taking any one permeation grid in the multi-damaged permeation region as the center and one electrode grid as the step, a circle is diffused outward in turn; According to the permeation diffusion intensity and the potential difference data, the permeation outward diffusion property of the permeation grid when diffused to the latest diffusion circle is calculated in real time; According to the permeation outward diffusion property, the diffusion region of each permeation grid in the multi-damaged permeation region at the current time point is obtained.

2. The method for detecting leakage of a seepage barrier in a constructed wetland according to claim 1, wherein Based on the humidity data and the potential difference data, the changes of humidity and potential difference in the electrode grid are analyzed respectively to determine the permeation time period in which each electrode grid is likely to produce permeation, including: Based on the humidity data, the humidity change in the electrode grid is analyzed to obtain the permeation start time point in which each electrode grid is likely to produce permeation; based on the potential difference data, analyzing the potential difference change in the electrode grid to obtain a permeation end time when each of the electrode grids is likely to generate permeation; based on the permeation start time and the permeation end time, determining a permeation time period when each of the electrode grids is likely to generate permeation.

3. The method for detecting leakage of a barrier layer in a constructed wetland according to claim 2, wherein based on the humidity data, analyzing the humidity change in the electrode grid to obtain a permeation start time when each of the electrode grids is likely to generate permeation, including: based on the humidity data, calculating the slope of the humidity data corresponding to all adjacent time points to obtain a humidity slope sequence; a preset humidity change slope threshold is set; a time period formed by the time point corresponding to the humidity data when the humidity slope in the humidity slope sequence is greater than the humidity change slope threshold for the first time is taken as a humidity change time period when the electrode grid is likely to generate permeation, and the permeation start time when the electrode grid is likely to generate permeation is obtained; and, based on the potential difference data, analyzing the potential difference change in the electrode grid to obtain a permeation end time when each of the electrode grids is likely to generate permeation, including: based on the potential difference data, calculating the slope of the potential difference data corresponding to all adjacent time points to obtain a potential difference slope sequence; a preset potential difference change slope threshold is set; a time period formed by the time point corresponding to the potential difference data when the potential difference slope in the potential difference slope sequence is greater than the potential difference change slope threshold for the first time is taken as a potential difference change time period when the electrode grid is likely to generate permeation, and the permeation end time when the electrode grid is likely to generate permeation is obtained.

4. The method for detecting a leakage of a barrier layer in a constructed wetland construction according to claim 1, characterized by, based on the permeation external diffusion property, obtaining a diffusion area of each of the permeation grids in the multi-damaged permeation area at the current time, including: a preset diffusion property threshold is set; taking any one of the permeation grids in the multi-damaged permeation area as the center, taking one electrode grid as the step, and diffusing outward one circle at a time until the permeation external diffusion property of the permeation grid when diffusing to the latest diffusion circle is less than the diffusion property threshold for the first time or diffusing to the edge of the multi-damaged permeation area, the diffusion is stopped, and the area contained in the latest diffusion circle is taken as the diffusion area of the permeation grid, and the diffusion area of each of the permeation grids in the multi-damaged permeation area at the current time is obtained.

5. The method for detecting leakage of a barrier layer in a constructed wetland according to claim 1, wherein dividing the diffusion area of the electrode grid into a suspected damaged area and a diffusion interaction area, including: taking a part of the diffusion area of the electrode grid that does not coincide with the diffusion area of all other electrode grids as the suspected damaged area of the electrode grid, and taking the remaining part of the area as the diffusion interaction area of the electrode grid.

6. A system for detecting leaks in a barrier layer in the construction of a constructed wetland, the system comprising: The system comprises a memory and a processor, wherein: the memory is used to store program code; the processor is used to read the program code stored in the memory and execute the method according to any one of claims 1 to 5.

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