Method and system for testing the permeability of a porous road

Abstract

The application relates to the technical field of permeation testing, and particularly relates to a sponge road permeation performance testing method and system, which comprises the following steps: obtaining the pressure change curve, a plurality of environment state curves and the permeation rate of each sponge road; obtaining the pressure response characteristics of the sponge road according to the difference between adjacent pressure values in the pressure change curve; obtaining the permeation index of the sponge road under each environment state; obtaining the correlation degree between each sponge road and the permeation rate under each environment state according to the difference between the permeation index and the permeation rate; obtaining the distance factor between different sponge roads, and then obtaining a plurality of class clusters; obtaining the environment state curve of each class cluster according to the correlation degree; and obtaining the testing result of the permeation performance of a new sponge road according to the fluctuation of the environment state curve of the class cluster. The application improves the accuracy of the permeation performance testing result of the sponge road.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of permeation testing, and in particular to a method and system for testing the permeation performance of a sponge road. BACKGROUND

[0002] A sponge city is a concept of urban planning and design, which enables the city to have better flexibility in dealing with rain disasters and the like through absorption, storage, infiltration and purification. A sponge city can achieve a city development mode of natural storage, natural infiltration and natural purification by strengthening urban planning and management construction and fully utilizing the ecological system of buildings, roads, green spaces and water systems to absorb, store, infiltrate and release rainwater.

[0003] A sponge road is an important part of sponge city construction. Traditional urban road surfaces are often made of cement, asphalt and other materials. These surface structures are not conducive to the infiltration of rainwater, which often cannot effectively infiltrate into the ground, causing urban waterlogging.

[0004] Currently, the existing methods for testing permeation performance mainly include artificial simulation testing, laboratory simulation, sensor monitoring and the like. There is a lack of unified testing standards and specifications in the testing process, resulting in uncertainty in the test results. Some testing methods require complex operation steps and professional equipment, making the testing process cumbersome and costly. Moreover, due to the differences in test data under different conditions, there are errors in the overall evaluation of the permeation performance, resulting in inaccurate permeation performance test results of the sponge road. SUMMARY

[0005] To solve the above problems, the present application provides a method and system for testing the permeation performance of a sponge road.

[0006] The method and system for testing the permeation performance of a sponge road provided by the present application adopt the following technical solutions:

[0007] One embodiment of the present application provides a method for testing the permeation performance of a sponge road, which comprises the following steps:

[0008] Obtaining the pressure change curve of each sponge road, the environmental state curve of each sponge road, the turbidity of the water above each sponge road after testing, and the permeation rate of each sponge road;

[0009] According to the difference between adjacent pressure values in the pressure change curve of each sponge road, the pressure response characteristics of each sponge road are obtained; the fluctuation characteristic values of each curve in the environmental state curve of each sponge road are obtained; according to the pressure response characteristics, the fluctuation characteristic values and the turbidity, the permeation index of each sponge road under each environmental state is obtained; according to the difference between the permeation index and the permeation rate, the correlation degree between each sponge road and the permeation rate under each environmental state is obtained;

[0010] According to the difference between the pressure response characteristics of different sponge roads and the correlation degree between the sponge road and the permeation rate under the environmental state, the distance factor between different sponge roads is obtained; according to the distance factor, all sponge roads are clustered to obtain several clusters; according to the correlation degree, the environmental state curve of each cluster is obtained; according to the fluctuation of the environmental state curve of the cluster, the test result of the permeation performance of the new sponge road is obtained.

[0011] Further, the pressure response characteristics of each sponge road are obtained according to the difference between adjacent pressure values in the pressure change curve of each sponge road, including the following specific steps:

[0012] Any one sponge road is denoted as the rth sponge road, and the pressure change curve of the rth sponge road is denoted as the rth pressure change curve;

[0013] The rth pressure change curve is detected by using a peak detection algorithm to obtain a plurality of peak points of the rth pressure change curve;

[0014]

[0015] In the formula, n r is the number of pressure values in the rth pressure change curve, y r,i is the ith pressure value in the rth pressure change curve, y r,i+1 is the i+1th pressure value in the rth pressure change curve, || is the absolute value, k i is the slope value corresponding to the ith pressure value in the rth pressure change curve, and the specific method for obtaining the slope value corresponding to the ith pressure value in the rth pressure change curve is as follows: the tangent value of the angle between the line connecting the data points corresponding to the ith pressure value and the i+1th pressure value in the rth pressure change curve and the horizontal line is taken as the slope value corresponding to the ith pressure value in the rth pressure change curve; t r is the time length of the rth pressure change curve, p r is the number of peak points in the rth pressure change curve, y1 r,q is the pressure value corresponding to the qth peak point in the rth pressure change curve, E r is the pressure response characteristics of the rth sponge road.

[0016] Further, the specific method for obtaining the fluctuation characteristic value of each curve in the plurality of environmental state curves of each sponge road is as follows:

[0017] Any one of the sponge roads is denoted as the rth sponge road;

[0018] Any one of the plurality of environmental state curves of the rth sponge road is denoted as the jth curve, the jth curve contains a plurality of parameter values, the absolute value of the difference between all the parameter values in the jth curve is denoted as the first difference value, and the average value of all the first difference values in the jth curve is denoted as the fluctuation characteristic value of the jth curve.

[0019] Further, the specific steps for obtaining the permeation index of each sponge road under each environmental state according to the pressure response characteristic, the fluctuation characteristic value, and the turbidity include the following:

[0020] Any one of the sponge roads is denoted as the rth sponge road;

[0021] Any one of the plurality of environmental state curves of the rth sponge road is denoted as the jth curve;

[0022]

[0023] In the formula, E r is the pressure response characteristic of the rth sponge road, T r,j is the fluctuation characteristic value of the jth curve in the plurality of environmental state curves of the rth sponge road, G r is the turbidity of the water above the rth sponge road after the test, L r is the length of the rth sponge road, D r is the width of the rth sponge road, W r,j is the permeation index of the rth sponge road under the jth environmental state.

[0024] Further, the specific steps for obtaining the correlation degree between each sponge road and the permeation rate under each environmental state according to the difference between the permeation index and the permeation rate include the following:

[0025] ρ r1,j = exp (- |W r1,j -F r1 |)

[0026] In the formula, W r1,j is the permeation index of the rth sponge road under the jth environmental state, F r1 is the permeation rate of the rth sponge road, || is the absolute value, and ρ rb1,jis the correlation degree between the a-th sponge road and the permeability under the h-th environmental state, and exp() is the exponential function with the natural constant as the base.

[0027] Further, the distance factor between different sponge roads is obtained according to the difference between the pressure response characteristics of different sponge roads and the correlation degree between the sponge roads and the permeability under the environmental state, and the specific steps include the following:

[0028]

[0029] In the formula, E a is the pressure response characteristic of the a-th sponge road, E b is the pressure response characteristic of the b-th sponge road, ρ a,h is the correlation degree between the a-th sponge road and the permeability under the h-th environmental state, ρ b,g is the correlation degree between the b-th sponge road and the permeability under the g-th environmental state, S a,h,b,g is the first distance between the a-th sponge road under the h-th environmental state and the b-th sponge road under the g-th environmental state.

[0030] The first distance between the a-th sponge road under each environmental state and the b-th sponge road under each environmental state is obtained, and the minimum value of all the first distances is taken as the distance factor between the a-th sponge road and the b-th sponge road.

[0031] Further, the distance factor between all sponge roads is obtained according to the distance factor, and the specific steps include the following:

[0032] The distance factor between all sponge roads is obtained, and the distance factor is taken as the distance measure for clustering, and k-means clustering is performed on all sponge roads to obtain a plurality of clusters.

[0033] Further, the environmental state curve of each cluster is obtained according to the correlation degree, and the specific steps include the following:

[0034] Any one cluster is denoted as a target cluster.

[0035] The environmental state curve corresponding to the maximum value of the correlation degree between the sponge road in the target cluster and the permeability under the environmental state is taken as the environmental state curve of the target cluster.

[0036] Further, the test result of the permeability performance of the new sponge road is obtained according to the fluctuation of the environmental state curve of the cluster, and the specific steps include the following:

[0037] Obtain a new sponge road, obtain a plurality of environmental state curves of the new sponge road, obtain the variance of all parameter values in each environmental state curve in the plurality of environmental state curves of the new sponge road, denoted as a first environmental state variance, obtain a plurality of first environmental state variances, obtain the variance of all parameter values in the environmental state curve of each cluster, denoted as a second environmental state variance, and obtain a plurality of second environmental state variances;

[0038] Take any one of the first environmental state variances as a target first environmental state variance, take the absolute value of the difference between the target first environmental state variance and the second environmental state variance with the same environmental state as a second difference value, obtain the absolute value of the difference between each first environmental state variance and the second environmental state variance with the same environmental state, obtain a plurality of second difference values, take the second environmental state variance corresponding to the minimum value of the second difference value among all second difference values as a target second environmental state variance, take the permeation index under the environmental state corresponding to the target second environmental state variance as the predicted permeation index of the new sponge road, and obtain the permeability of the new sponge road.

[0039] Subtract the predicted permeation index of the new sponge road from the permeability of the new sponge road to obtain a difference value, denoted as a first difference value, input the first difference value into a sigmoid function for normalization to obtain a normalized first difference value, preset a first threshold value, if the normalized first difference value is greater than the first threshold value, the permeation performance of the new sponge road is qualified, otherwise, the permeation performance of the new sponge road is unqualified.

[0040] The application also provides a sponge road permeation performance test system, which comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the steps of the above-mentioned method.

[0041] The beneficial effects of the technical solutions of the present application are as follows: after obtaining the pressure change curve of each sponge road in a plurality of sponge roads to be tested, a plurality of environmental state curves of each sponge road, the turbidity of water above each sponge road after the test of each sponge road is completed, and the permeability of each sponge road, the pressure response characteristics of each sponge road are obtained through the difference between adjacent pressure values in the pressure change curve of each sponge road, the pressure response characteristics reflect the permeability of the sponge road, and provide support for subsequent further accurate analysis, the permeation index of each sponge road under each environmental state is obtained through the pressure response characteristics, the fluctuation characteristic value, and the turbidity, the permeation index reflects the permeability of the sponge road under different environmental states, and then the distance factor between different sponge roads is obtained for clustering, a plurality of clusters are obtained, so that the sponge roads with similar permeation indexes can be used as a cluster, and the permeability of the new sponge road is better predicted, and finally the test result of the permeability of the new sponge road is obtained through the fluctuation of the environmental state curve of the cluster, thereby reducing the error of the overall evaluation of the permeability caused by the difference between the test data under different environmental conditions, and improving the accuracy of the test result of the permeability of the sponge road. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0043] Figure 1 A step flow chart of a sponge road permeability test method provided by an embodiment of the present application;

[0044] Figure 2 A flow chart of obtaining the test result of the permeability of the sponge road provided by an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following will combine the drawings and the preferred embodiments to specifically describe the specific implementation, structure, features and effects of the sponge road permeability test method and system according to the present application, as follows. 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.

[0046] 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.

[0047] The application provides a sponge road permeability testing method and system.

[0048] The application provides a sponge road permeability testing method and system.

[0049] The application provides a sponge road permeability testing method and system.

[0050] The application provides a sponge road permeability testing method and system.

[0051] The application provides a sponge road permeability testing method and system.

[0052] The application provides a sponge road permeability testing method and system.

[0053] The application provides a sponge road permeability testing method and system.

[0054] The application provides a sponge road permeability testing method and system.

[0055] At this point, the pressure change curve of each sponge road in the plurality of sponge roads to be tested, the plurality of environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test of each sponge road is completed, and the permeability of each sponge road are obtained.

[0056] Referring to Figure 1 and Figure 2 which shows a flowchart of steps of a method for testing the permeability of a sponge road and a flowchart of testing results of the permeability of the sponge road, the method comprising the following steps:

[0057] Step S001, obtaining the pressure change curve of each sponge road in the plurality of sponge roads to be tested, the plurality of environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test of each sponge road is completed, and the permeability of each sponge road.

[0058] It should be noted that the main performance of the sponge road includes two aspects: one is that it can store rainwater, reduce surface runoff, and alleviate urban waterlogging; the other is that it can reduce pollutants in initial rainwater, filter and purify rainwater, and improve urban water environment. Therefore, during the detection of the permeability of the sponge road, the data obtained during the detection process need to be accurately analyzed to avoid inaccurate evaluation of the permeability of the sponge road due to improper analysis method or processing errors.

[0059] Specifically, the pressure change curve of each sponge road in the plurality of sponge roads to be tested, the plurality of environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test of each sponge road is completed, and the permeability of each sponge road are obtained, and the plurality of environmental state curves include temperature change curves, humidity change curves, and wind speed change curves. It should be noted that the specific acquisition method is described above.

[0060] It should be noted that in the permeability test of the sponge road, the related data of the surface of the sponge road to be tested is collected in real time, the data is continuously collected, the accuracy of the permeability test is improved, the errors caused by human factors, environmental factors, etc. in the offline test method are reduced, and the in-depth analysis of the monitoring data can provide strong support for the design optimization of the sponge road and improve the performance and service life of the sponge road.

[0061] At this point, the pressure change curve of each sponge road in the plurality of sponge roads to be tested, the plurality of environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test of each sponge road is completed, and the permeability of each sponge road are obtained.

[0062] Step S002, obtaining a pressure response characteristic of each sponge road according to a difference between adjacent pressure values in the pressure change curve of each sponge road; obtaining a fluctuation characteristic value of each curve in the environmental state curve of each sponge road; obtaining a permeation index of each sponge road under each environmental state according to the pressure response characteristic, the fluctuation characteristic value and the turbidity; and obtaining a correlation degree between each sponge road and the permeation rate under each environmental state according to a difference between the permeation index and the permeation rate.

[0063] Specifically, the pressure response characteristic of each sponge road is obtained according to a difference between adjacent pressure values in the pressure change curve of each sponge road. As an embodiment, the specific calculation method is as follows:

[0064] Taking any one sponge road as the rth sponge road, and taking the pressure change curve of the rth sponge road as the rth pressure change curve.

[0065] The rth pressure change curve is detected by using a peak value detection algorithm to obtain a plurality of peak points of the rth pressure change curve.

[0066]

[0067] In the formula, n r is the number of pressure values in the rth pressure change curve, y r,i is the ith pressure value in the rth pressure change curve, y r,i+1 is the i+1th pressure value in the rth pressure change curve, || is an absolute value, k i is a slope value corresponding to the ith pressure value in the rth pressure change curve, and the specific acquisition method of the slope corresponding to the ith pressure value in the rth pressure change curve is as follows: taking the tangent value of the angle between the line connecting the data points corresponding to the ith pressure value and the i+1th pressure value in the rth pressure change curve and the horizontal line as the slope value corresponding to the ith pressure value in the rth pressure change curve; t r is the time length of the rth pressure change curve, p r is the number of peak points in the rth pressure change curve, y1 r,q is the pressure value corresponding to the qth peak point in the rth pressure change curve, E r is the pressure response characteristic of the rth sponge road.

[0068] It should be noted that, in order to facilitate understanding of adjacent pressure values in the pressure change curve, examples are given as follows: for example, the pressure change curve contains 5 pressure values, and the 5 pressure values are arranged in time sequence, then the adjacent pressure values can be the 1st pressure value and the 2nd pressure value, i.e. adjacent pressure values.

[0069] It should be noted that, represents the rate of change of the pressure response value per unit time, the greater the value, the more intense the pressure response data changes in the test process; the greater the slope value, the faster the permeation speed, i.e. the greater the value; represents the average value of all peak pressure values in the rth pressure change curve, the smaller the average value, the greater the possibility that the sponge road has better permeability; when there is water on the road surface of the sponge road to be tested, if the permeability of the sponge road to be tested is not good, there will be more water on the road surface of the sponge road to be tested, which will cause the detection pressure inside the sponge road to be tested to increase, i.e. the peak pressure value is large, the faster the permeation speed of the sponge road to be tested and the smaller the total peak pressure value inside the sponge road to be tested, the greater the pressure response characteristic value of the sponge road to be tested in this test, represents the change characteristics of the data collected by the pressure response device inside the sponge road to be tested in the test process, which provides support for subsequent processing.

[0070] It should be noted that the pressure response device arranged inside the sponge road to be tested is used to monitor the pressure parameters of the water flow inside the sponge road, thereby indirectly evaluating the permeability. However, this method can only provide indirect permeability information, lacks direct measurement data for verification, and the pressure change curves under different test conditions have different permeability performances, and the change of the measurement data can provide support for subsequent permeability tests.

[0071] Specifically, the fluctuation characteristic value of each curve in the plurality of environmental state curves of each sponge road is obtained, and the specific method is as follows:

[0072] Any one of the plurality of environmental state curves of the rth sponge road is recorded as the jth curve, and the jth curve contains a plurality of parameter values, for example, the jth curve is a temperature change curve, and contains a plurality of temperature values. The absolute value of the difference between all parameter values in the jth curve is obtained, which is recorded as the first difference value. The average value of all first difference values in the jth curve is recorded as the fluctuation characteristic value of the jth curve.

[0073] It should be noted that the greater the fluctuation characteristic value of the jth curve, the more unstable the jth curve, and the greater the fluctuation of the test environment.

[0074] Specifically, the permeation index of each sponge road under each environmental state is obtained according to the pressure response characteristic, the fluctuation characteristic value and the turbidity, and as an embodiment, the specific calculation method is as follows:

[0075]

[0076] In the formula, Er the pressure response characteristic of the rth sponge road, T r,j the fluctuation characteristic value of the jth curve in the environmental state curve of the rth sponge road, G r the turbidity of the water above the rth sponge road after the test, L r the length of the rth sponge road, D r the width of the rth sponge road, W r,j the permeation index of the rth sponge road under the jth environmental state.

[0077] It should be noted that, The greater the ratio, the more the number of particles that remain in the water without permeation during the test, which reflects that the permeation performance of the sponge road is poor; The greater the value of W reflects the permeation index of the rth sponge road under the jth environmental state, W r,j The greater the value, the better the permeation performance of the rth sponge road under the jth environmental state.

[0078] Further, according to the difference between the permeation index and the permeation rate, the correlation degree between each sponge road under each environmental state and the permeation rate is obtained, and as an embodiment, the specific calculation method is as follows:

[0079] ρ r1,j = exp(-|W r1,j -F r1 |)

[0080] In the formula, W r1,j is the permeation index of the rth sponge road under the jth environmental state, F r1 is the permeation rate of the rth sponge road, | | is the absolute value, ρ r1,j is the correlation degree between the rth sponge road under the jth environmental state and the permeation rate, exp() is the exponential function with the natural constant as the base, the model of exp(-U) is adopted in this embodiment to present the inverse proportional relationship, and U is the input of the model. The implementer can set the inverse proportional function according to the specific implementation.

[0081] It should be noted that |W r1,j -F r1 | represents the difference between the permeation index of the rth sponge road under the jth environmental state and the permeation rate, the smaller the difference value, the more dependent the permeation rate is on the jth environmental state, and the higher the correlation degree between the sponge road under the jth environmental state and the permeation rate.

[0082] At this point, the degree of correlation between each sponge road and the permeability under each environmental state is obtained.

[0083] In step S003, a plurality of clusters are obtained according to the difference between the pressure response characteristics of different sponge roads and the degree of correlation between the sponge road and the permeability under the environmental state. The environmental state curve of each cluster is obtained according to the degree of correlation. The test result of the permeability of the new sponge road is obtained according to the fluctuation of the environmental state curve of the cluster.

[0084] It should be noted that the performance of the road permeability under different environmental states can be obtained by the pressure response characteristics inside the sponge road and the degree of correlation to the environmental state. The classification and prediction of the test data can optimize the test scheme and test efficiency, and can early discover potential problems and defects, and timely take responsive maintenance and management measures.

[0085] Specifically, the distance factor between different sponge roads is obtained according to the difference between the pressure response characteristics of different sponge roads and the degree of correlation between the sponge road and the permeability under the environmental state. As an embodiment, the specific calculation method is as follows:

[0086]

[0087] In the formula, E a is the pressure response characteristic of the a-th sponge road, E b is the pressure response characteristic of the b-th sponge road, p a,h is the degree of correlation between the a-th sponge road and the permeability under the h-th environmental state, p b,g is the degree of correlation between the b-th sponge road and the permeability under the g-th environmental state, S a,h,b,g is the first distance between the a-th sponge road under the h-th environmental state and the b-th sponge road under the g-th environmental state.

[0088] The first distance between the a-th sponge road under each environmental state and the b-th sponge road under each environmental state is obtained. The minimum value of all the first distances is taken as the distance factor between the a-th sponge road and the b-th sponge road.

[0089] Further, all sponge roads are clustered according to the distance factor to obtain a plurality of clusters, as follows:

[0090] The distance factor between all sponge roads is obtained. The distance factor is taken as the distance measure when clustering, and all sponge roads are k-means clustered to obtain a plurality of clusters. It should be noted that the optimal K value of k-means clustering is obtained according to the elbow method in this embodiment.

[0091] Specifically, the environmental state curve of each class cluster is obtained according to the correlation degree, specifically as follows:

[0092] Any one class cluster is denoted as a target class cluster.

[0093] The environmental state curve corresponding to the maximum value of the correlation degree between the sponge road and the permeability in the environmental state in the target class cluster is taken as the environmental state curve of the target class cluster.

[0094] Further, the test result of the permeability of the new sponge road is obtained according to the fluctuation of the environmental state curve of the class cluster, specifically as follows:

[0095] A new sponge road is obtained, and it is to be noted that the new sponge road is different from the several sponge roads to be tested in step S001; several environmental state curves of the new sponge road are obtained, the variance of all parameter values in each environmental state curve of the several environmental state curves of the new sponge road is denoted as a first environmental state variance, and several first environmental state variances are obtained; the variance of all parameter values in the environmental state curve of each class cluster is denoted as a second environmental state variance, and several second environmental state variances are obtained.

[0096] Any one first environmental state variance is denoted as a target first environmental state variance, and the absolute value of the difference between the target first environmental state variance and the second environmental state variance with the same environmental state is denoted as a second difference value; it is to be noted that, for the convenience of understanding, examples are given here, for example, the target first environmental state variance is the variance corresponding to the temperature change curve (the variance of all temperature values in the temperature change curve), and the second environmental state variance with the same environmental state is also the variance corresponding to the temperature change curve; each class cluster corresponds to a second environmental state variance, and if there is no same one, it is not involved in the calculation; the absolute value of the difference between each first environmental state variance and the second environmental state variance with the same environmental state is obtained, and several second difference values are obtained; the second environmental state variance corresponding to the minimum value of all second difference values is denoted as a target second environmental state variance, and the permeability index under the environmental state corresponding to the target second environmental state variance is taken as the predicted permeability index of the new sponge road; the permeability of the new sponge road is obtained, and it is to be noted that the method of obtaining the permeability of the new sponge road is the same as that of obtaining the permeability of each sponge road in step S001, and the present embodiment will not be described again.

[0097] The first difference value is input into a sigmoid function for normalization to obtain a normalized first difference value, and a first threshold value is preset, and the embodiment is described by taking the first threshold value as 0.7, if the normalized first difference value is greater than the first threshold value, the permeability of the new sponge road is qualified and meets the design requirements of the sponge road, otherwise, the permeability of the new sponge road is unqualified and does not meet the design requirements of the sponge road.

[0098] Through the above steps, a sponge road permeability test method is completed.

[0099] Another embodiment of the application provides a sponge road permeability test system, which comprises a memory and a processor, and the processor executes a computer program stored in the memory to perform the following operations:

[0100] The pressure change curve of each sponge road to be tested, the environmental state curve of each sponge road, the turbidity of water above each sponge road after testing, and the permeability of each sponge road are obtained, the pressure response characteristics of each sponge road are obtained according to the difference between adjacent pressure values in the pressure change curve of each sponge road, the fluctuation characteristic value of each curve in the environmental state curve of each sponge road is obtained, the permeability index of each sponge road under each environmental state is obtained according to the pressure response characteristics, the fluctuation characteristic value and the turbidity, the correlation degree between each sponge road under each environmental state and the permeability is obtained according to the difference between the permeability index and the permeability, the distance factor between different sponge roads is obtained according to the difference between the pressure response characteristics of different sponge roads and the correlation degree between the sponge road under the environmental state and the permeability, all sponge roads are clustered according to the distance factor to obtain a plurality of clusters, the environmental state curve of each cluster is obtained according to the correlation degree, and the test result of the permeability of the new sponge road is obtained according to the fluctuation of the environmental state curve of the cluster.

[0101] The above only describes the preferred embodiments of the application and is not intended to limit the application, and any modification, equivalent replacement, improvement, etc. within the principles of the application shall be included in the protection scope of the application.

Claims

1. A method of testing the permeability of a porous pavement, characterized in that, The method comprises the following steps: Obtaining the pressure change curve of each sponge road in a plurality of sponge roads to be tested, a plurality of environmental state curves, the turbidity of water above each sponge road after testing, and the permeability of each sponge road; According to the difference between adjacent pressure values in the pressure change curve of each sponge road, the pressure response characteristics of each sponge road are obtained; the fluctuation characteristic value of each curve in the plurality of environmental state curves of each sponge road is obtained; according to the pressure response characteristics, the fluctuation characteristic value and the turbidity, the permeation index of each sponge road under each environmental state is obtained; according to the difference between the permeation index and the permeability, the correlation degree between each sponge road under each environmental state and the permeability is obtained; According to the difference between the pressure response characteristics of different sponge roads and the correlation degree between the sponge roads under the environmental state and the permeability, the distance factor between different sponge roads is obtained; according to the distance factor, all the sponge roads are clustered to obtain a plurality of clusters; according to the correlation degree, the environmental state curve of each cluster is obtained; according to the fluctuation of the environmental state curve of the cluster, the test result of the permeability of the new sponge road is obtained.

2. The method of claim 1, wherein the sponge road is a porous pavement. The specific steps of obtaining the pressure response characteristics of each sponge road according to the difference between adjacent pressure values in the pressure change curve of each sponge road include the following: Any one sponge road is denoted as the rth sponge road, and the pressure change curve of the rth sponge road is denoted as the rth pressure change curve; The rth pressure change curve is detected by using a peak value detection algorithm to obtain a plurality of peak points of the rth pressure change curve; In the formula, n r is the number of pressure values in the rth pressure change curve, y r,i is the ith pressure value in the rth pressure change curve, y r,i+1 is the i+1th pressure value in the rth pressure change curve, || is the absolute value, k i is the slope value corresponding to the ith pressure value in the rth pressure change curve, and the specific method for obtaining the slope corresponding to the ith pressure value in the rth pressure change curve is as follows: the tangent value of the angle between the line connecting the data points corresponding to the ith pressure value and the i+1th pressure value in the rth pressure change curve and the horizontal line is taken as the slope value corresponding to the ith pressure value in the rth pressure change curve; t r is the duration of the rth pressure change curve, p r is the number of peak points in the rth pressure change curve, y1 r,q is the pressure value corresponding to the qth peak point in the rth pressure change curve, E r is the pressure response characteristic of the rth sponge road.

3. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The specific method of obtaining the fluctuation characteristic value of each curve in the plurality of environmental state curves of each sponge road includes the following: Any one sponge road is denoted as the rth sponge road; Any one environmental state curve in the plurality of environmental state curves of the rth sponge road is denoted as the jth curve, the jth curve includes a plurality of parameter values, the absolute value of the difference between all the parameter values in the jth curve is obtained and denoted as a first difference value, and the average value of all the first difference values in the jth curve is denoted as the fluctuation characteristic value of the jth curve.

4. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The specific steps of obtaining the permeation index of each sponge road under each environmental state according to the pressure response characteristics, the fluctuation characteristic value and the turbidity include the following: Any one sponge road is denoted as the rth sponge road; Any one environmental state curve in the plurality of environmental state curves of the rth sponge road is denoted as the jth curve; wherein E r is the pressure response characteristic of the rth sponge track, T r,j is the fluctuation characteristic value of the jth curve of the several environmental state curves of the rth sponge track, G r is the turbidity of the water above the rth sponge track after the test, L r is the length of the rth sponge track, D r is the width of the rth sponge track, W r,j is the permeation index of the rth sponge track under the jth environmental state.

5. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The specific steps of obtaining the correlation degree between each sponge road under each environmental state and the permeability according to the difference between the permeation index and the permeability include the following: p r1,j = exp(-|W r1,j -F r1 |) In the formula, W r1,j is the permeation index of the r1th sponge road under the jth environmental state, F r1 is the permeability of the r1th sponge road, and || is the absolute value. r1,j is the correlation degree between the r1th sponge road and the permeability under the jth environmental state, and exp( ) is the exponential function with the natural constant as the base.

6. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The specific steps of obtaining the distance factor between different sponge roads according to the difference between the pressure response characteristics of different sponge roads and the correlation degree between the sponge roads under the environmental state and the permeability include the following: wherein E a is the pressure response characteristic of the a-th sponge path, E b is the pressure response characteristic of the b-th sponge path, p a,h is the degree of correlation between the a-th sponge path and the permeability at the h-th environmental state, p b,g is the degree of correlation between the b-th sponge path and the permeability at the g-th environmental state, S a,h,b,g is the first distance between the a-th sponge path at the h-th environmental state and the b-th sponge path at the g-th environmental state; The minimum value of all the first distances is obtained as the distance factor between the a th sponge road and the b th sponge road.

7. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The step of clustering all sponge roads according to the distance factor to obtain several clusters comprises the following specific steps: Obtain the distance factor between all sponge roads, take the distance factor as the distance measurement in clustering, and perform k-means clustering on all sponge roads to obtain several clusters.

8. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The step of obtaining the environmental state curve of each cluster according to the correlation degree comprises the following specific steps: Take any one cluster as a target cluster. Take the environmental state curve corresponding to the maximum value of the correlation degree between the environmental state and the permeability of the sponge road in the target cluster as the environmental state curve of the target cluster.

9. The method of claim 1, wherein the method is a method of testing the permeability of a porous pavement. The step of obtaining the test result of the permeability of a new sponge road according to the fluctuation of the environmental state curve of the cluster comprises the following specific steps: Obtain a new sponge road, obtain several environmental state curves of the new sponge road, obtain the variance of all parameter values in each environmental state curve in the several environmental state curves of the new sponge road, take the variance as a first environmental state variance, obtain several first environmental state variances, obtain the variance of all parameter values in the environmental state curve of each cluster, take the variance as a second environmental state variance, and obtain several second environmental state variances. Take any one first environmental state variance as a target first environmental state variance, take the absolute value of the difference between the target first environmental state variance and the second environmental state variance with the same environmental state as a second difference value, obtain the absolute value of the difference between each first environmental state variance and the second environmental state variance with the same environmental state, obtain several second difference values, take the second environmental state variance corresponding to the minimum value of the second difference values as a target second environmental state variance, take the permeability index under the environmental state corresponding to the target second environmental state variance as the predicted permeability index of the new sponge road, and obtain the permeability of the new sponge road. Subtract the predicted permeability index of the new sponge road from the permeability of the new sponge road to obtain a first difference value, input the first difference value into a sigmoid function for normalization to obtain a normalized first difference value, preset a first threshold value, if the normalized first difference value is greater than the first threshold value, the permeability of the new sponge road is qualified, otherwise, the permeability of the new sponge road is unqualified.

10. A system for testing the permeability of a porous pavement, the system comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The computer program is executed by the processor to realize the steps of the sponge road permeability test method according to any one of claims 1-9. The computer program is executed by the processor to realize the steps of the sponge road permeability test method according to any one of claims 1-9.

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