Method and system for testing permeability of sponge road

Abstract

The invention relates to the technical field of penetration testing, in particular to a method and system for testing the permeability of sponge roads, and the method comprises the following steps: acquiring a pressure change curve, a plurality of environmental state curves and permeability of each sponge road; according to the difference of adjacent pressure values in the pressure change curve, pressure response characteristics of the sponge road are obtained; acquiring a permeation index of the sponge road in each environment state; according to the difference between the permeability index and the permeability, obtaining the correlation degree between each sponge road and the permeability in each environment state; distance factors between different sponge roads are obtained, and then a plurality of clusters are obtained; acquiring an environment state curve of each class cluster according to the correlation degree; and obtaining a new test result of the permeability of the sponge road according to the fluctuation of the environmental state curve of the class cluster. The accuracy of the permeability test result of the sponge road is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of penetration testing, and in particular to a method and system for testing the penetration performance of a sponge road. Background Art

[0002] Sponge city is an urban planning and design concept that enables cities to be more resilient in dealing with rainwater disasters, just like a sponge, through absorption, storage, infiltration and purification. Sponge city strengthens urban planning, management and construction, and gives full play to the absorption, storage, infiltration and slow release of rainwater by ecological systems such as buildings, roads, green spaces and water systems, thus realizing a mode of urban development with natural accumulation, natural infiltration and natural purification.

[0003] Sponge roads are an important part of sponge city construction. Traditional urban road surfaces often use cement, asphalt and other materials. These surface structures are not conducive to the penetration of rainwater, resulting in rainwater often unable to effectively penetrate into the ground, causing urban waterlogging.

[0004] At present, the existing methods for permeability testing mainly include artificial simulation test method, laboratory simulation method, sensor monitoring method, etc. The lack of unified test standards and specifications during the test process leads to uncertainty in the test results. Some test methods require complex operating steps and professional equipment, making the test process cumbersome and costly. In addition, in the process of processing the test data during the test, due to the differences in test data under different conditions, there are errors in the overall evaluation of permeability, resulting in inaccurate permeability test results of sponge roads. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a method and system for testing the permeability performance of a sponge road.

[0006] The present invention provides a method and system for testing the permeability of a sponge road using the following technical solutions:

[0007] An embodiment of the present invention provides a method for testing the permeability of a sponge road, the method comprising the following steps:

[0008] Obtaining a pressure change curve of each sponge road among several sponge roads to be tested, several environmental state curves of each sponge road, the turbidity of water above each sponge road after the test, and the permeability 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 value of each curve in several environmental state curves of each sponge road is obtained; according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity, the permeability index of each sponge road in each environmental state is obtained; according to the difference between the permeability index and the permeability, the correlation degree between each sponge road and the permeability in each environmental state is obtained;

[0010] According to the differences in pressure response characteristics of different sponge roads and the correlation between sponge roads and permeability under environmental conditions, the distance factors between different sponge roads are obtained; all sponge roads are clustered according to the distance factors to obtain several clusters; the environmental state curve of each cluster is obtained according to the degree of correlation; and the test results of the permeability performance of the new sponge road are obtained according to the fluctuations of the environmental state curves of the clusters.

[0011] Furthermore, 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, and the specific steps include the following:

[0012] Any sponge road is recorded as the r-th sponge road, and the pressure change curve of the r-th sponge road is recorded as the r-th pressure change curve;

[0013] The r-th pressure change curve is detected by using a peak detection algorithm to obtain several peak points of the r-th pressure change curve;

[0014]

[0015] Where n r is the number of pressure values ​​in the rth pressure change curve, y r,i is the i-th pressure value in the r-th 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 used 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.

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

[0017] Any sponge road is recorded as the rth sponge road;

[0018] Any one of the environmental state curves of the r-th sponge road is recorded as the j-th curve, wherein the j-th curve contains several parameter values, and the absolute value of the difference between all parameter values ​​in the j-th curve is obtained, which is recorded as the first difference value; the average value of all first difference values ​​in the j-th curve is recorded as the fluctuation characteristic value of the j-th curve.

[0019] Furthermore, the permeability index of each sponge road under each environmental state is obtained according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity, and the specific steps include the following:

[0020] Any sponge road is recorded as the rth sponge road;

[0021] Any environmental state curve among several environmental state curves of the r-th sponge road is recorded as the j-th 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 among several environmental state curves of the rth sponge road, G r is the turbidity of the water above the rth sponge road 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 permeability index of the r-th sponge road under the j-th environmental state.

[0024] Furthermore, the correlation between each sponge road and the permeability under each environmental state is obtained according to the difference between the permeability index and the permeability, and the specific steps include the following:

[0025] ρ r1,j =exp(-|W r1,j -F r1 |)

[0026] Where W r1,j is the infiltration index of the r1th sponge road under the jth environmental state, F r1 is the permeability of the r1th sponge road, || is the absolute value, ρ rb1,jis the correlation between the r1th sponge road and the permeability under the jth environmental state, and exp() is an exponential function with a natural constant as the base.

[0027] Furthermore, 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 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 ath sponge road, E b is the pressure response characteristic of the b-th sponge road, ρ a,h is the correlation between the a-th sponge road and the permeability under the h-th environmental state, ρ b,g is the correlation between the bth sponge road and the permeability under the gth environmental state, S a,h,b,g is the first distance between the a-th sponge road in the h-th environmental state and the b-th sponge road in the g-th environmental state;

[0030] Get the first distance between the a-th sponge road and the b-th sponge road in each environmental state, and use the minimum value of all first distances as the distance factor between the a-th sponge road and the b-th sponge road.

[0031] Furthermore, the method of clustering all sponge roads according to the distance factor to obtain several clusters includes the following specific steps:

[0032] The distance factor between all sponge roads is obtained, and the distance factor is used as the distance metric for clustering. K-means clustering is performed on all sponge roads to obtain several clusters.

[0033] Furthermore, the step of obtaining the environmental status curve of each cluster according to the correlation degree includes the following specific steps:

[0034] Record any cluster as the target cluster;

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

[0036] Furthermore, 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, and the specific steps include the following:

[0037] 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 of the several environmental state curves of the new sponge road, record it as the 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, record it as the second environmental state variance, and obtain several second environmental state variances;

[0038] Record any first environmental state variance as the target first environmental state variance, record 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 to obtain a number of second difference values, record the second environmental state variance corresponding to the minimum second difference value among all the second difference values ​​as the target second environmental state variance, use 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;

[0039] The difference obtained by subtracting the permeability of the new sponge road from the predicted permeability index of the new sponge road is recorded as the first difference. The first difference is input into the sigmoid function for normalization to obtain the normalized first difference. A first threshold is preset. If the normalized first difference is greater than the first threshold, the permeability performance of the new sponge road is qualified. Otherwise, the permeability performance of the new sponge road is unqualified.

[0040] The present invention also proposes a sponge road permeability performance testing system, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the steps of the aforementioned method.

[0041] The beneficial effect of the technical solution of the present invention is: after obtaining the pressure change curve of each sponge road in several sponge roads to be tested, several environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test 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 further accurate analysis in the follow-up. The permeability index of each sponge road in each environmental state is obtained through the pressure response characteristics, fluctuation characteristic values ​​and turbidity. The permeability index reflects the permeability of the sponge road in different environmental states. Then, by obtaining the distance factor between different sponge roads for clustering, several clusters are obtained, so that sponge roads with similar permeability indicators can be used as a cluster, which is more inclined to better predict the permeability of new sponge roads. Finally, the test results of the permeability performance of the new sponge road are obtained through the fluctuation of the environmental state curve of the cluster, thereby reducing the error in the overall evaluation of the permeability performance caused by the differences in the test data under different environmental conditions, and improving the accuracy of the permeability performance test results of the sponge road. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A flow chart of the steps of a method for testing the permeability of a sponge road provided by one embodiment of the present invention;

[0044] Figure 2 A flow chart for obtaining test results of the permeability of a sponge road provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the method and system for testing the permeability of a sponge road proposed by the present invention, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0046] Unless defined otherwise, 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 invention belongs.

[0047] The specific scheme of the sponge road permeability testing method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0048] One embodiment of the present invention provides a method for collecting data used in a method for testing the permeability of a sponge road, specifically comprising:

[0049] Select several sponge roads to be tested, and conduct one test on each sponge road to be tested, which is recorded as one measurement process. The data collection method of the measurement process of each sponge road to be tested is as follows:

[0050] Any sponge road to be tested is recorded as the first sponge road. A water pool with a capacity of 3 cubic meters is arranged above the first sponge road, and water is added to the water pool. When the water is full, data collection begins. The water in the water pool contains evenly distributed suspended particles, that is, the water is turbid water. The suspended particles include sediment particles, dust particles, colloid particles, etc. Data collection ends after 5 minutes. The collected data include: the pressure change curve of the first sponge road, the temperature change curve, humidity change curve, and wind speed change curve of the environment, and the turbidity of the water above the first sponge road after the test. It should be noted that the capacity of the water pool and the time of data collection in this embodiment are preset values, which can be set to other values ​​during specific implementation. At the end of the test, it should be ensured that there is water above the sponge road. The curves are all time series data. The pressure change curve contains several pressure values, and each pressure value corresponds to a time.

[0051] It should be noted that the pressure change curve is obtained by monitoring the pressure change of the water flow inside the sponge road to be tested through a pressure response device, the temperature change curve, humidity change curve and wind speed change curve of the environment are obtained through temperature sensors, humidity sensors and wind speed sensors, and the turbidity is obtained through a turbidity meter. The specific acquisition is an existing method and will not be repeated in this embodiment.

[0052] In this embodiment, the temperature change curve, humidity change curve, and wind speed change curve of the first sponge road environment are used as several environmental state curves of the first sponge road.

[0053] Get the permeability of the first sponge road as follows:

[0054] The water storage capacity above the first sponge road at the end of the test is obtained and recorded as the first water storage capacity. It should be noted that obtaining the water storage capacity is an existing method and will not be repeated in this embodiment. The test duration is recorded as the first duration, and the ratio of the first water storage capacity to the first duration is taken as the permeability of the first sponge road.

[0055] At this point, the pressure change curve of each sponge road among several sponge roads to be tested, several environmental status curves of each sponge road, the turbidity of the water above each sponge road after the test, and the permeability of each sponge road are obtained.

[0056] See also Figure 1 and Figure 2 , which shows a flow chart of steps of a method for testing the permeability of a sponge road provided by another embodiment of the present invention and a flow chart of obtaining the test results of the permeability of a sponge road, the method comprising the following steps:

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

[0058] It should be noted that the main performance of sponge roads includes two aspects: first, it can retain rainwater, reduce surface runoff, and alleviate urban waterlogging; second, it can reduce pollutants in initial rainwater, filter and purify rainwater, and improve the urban water environment. Therefore, in the process of testing the permeability of sponge roads, it is necessary to accurately analyze the data obtained during the testing process to avoid inaccurate evaluation of the permeability of sponge roads due to improper analysis methods or processing errors.

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

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

[0061] So far, several road state curves of each sponge road among several sponge roads to be tested, the turbidity of water above each sponge road after the test, and the permeability of each sponge road are obtained.

[0062] Step S002, according to the difference between adjacent pressure values ​​in the pressure change curve of each sponge road, obtain the pressure response characteristics of each sponge road; obtain the fluctuation characteristic value of each curve in several environmental state curves of each sponge road; according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity, obtain the permeability index of each sponge road in each environmental state; according to the difference between the permeability index and the permeability, obtain the correlation degree between each sponge road and the permeability in each environmental state.

[0063] Specifically, 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. As an embodiment, the specific calculation method is as follows:

[0064] Any sponge road is recorded as the r-th sponge road, and the pressure change curve of the r-th sponge road is recorded as the r-th pressure change curve.

[0065] The r-th pressure change curve is detected using a peak detection algorithm to obtain several peak points of the r-th pressure change curve.

[0066]

[0067] Where n r is the number of pressure values ​​in the rth pressure change curve, y r,i is the i-th pressure value in the r-th 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 used 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.

[0068] It should be noted that, in order to facilitate understanding of adjacent pressure values ​​in the pressure change curve, an example is given here. For example, the pressure change curve contains 5 pressure values, and the 5 pressure values ​​are arranged in chronological order, then the adjacent pressure values ​​can be the first pressure value and the second pressure value, that is, adjacent pressure values.

[0069] It should be noted that It indicates the rate of change of the pressure response value per unit time. The larger the value, the more drastic the pressure response data change during the test. The larger the slope value, the faster the penetration speed. The larger the value of; It represents the average value of all peak pressure values ​​in the rth pressure change curve. The smaller the average value is, 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, then there will be more water on the road surface of the sponge road to be tested, resulting in an increase in the detection pressure inside the sponge road to be tested, that is, the peak pressure value is larger, the faster the permeation speed of the sponge road to be tested and the smaller the sum of the peak pressure values ​​inside the sponge road to be tested, the greater the pressure response characteristic value of the sponge road to be tested in this test. It indicates the changing characteristics of the data collected by the internal pressure response device of the sponge road to be tested during the test, providing support for subsequent processing.

[0070] It should be noted that the pressure response device set 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 performance performances. The changes in the measurement data can provide support for subsequent permeability performance tests.

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

[0072] Any one of the environmental state curves of the r-th sponge road is recorded as the j-th curve, wherein the j-th curve contains several parameter values. For example, if the j-th curve is a temperature change curve, it contains several parameter values, specifically several temperature values. The absolute value of the difference between all parameter values ​​in the j-th curve is obtained and recorded as the first difference value; the average value of all first difference values ​​in the j-th curve is recorded as the fluctuation characteristic value of the j-th curve.

[0073] It should be noted that the larger the fluctuation characteristic value of the j-th curve is, the more unstable the j-th curve is, and the greater the fluctuation of the test environment is.

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

[0075]

[0076] In the formula, Er is the pressure response characteristic of the rth sponge road, T r,j is the fluctuation characteristic value of the jth curve among several environmental state curves of the rth sponge road, G r is the turbidity of the water above the rth sponge road 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 permeability index of the r-th sponge road under the j-th environmental state.

[0077] It should be noted that The larger the ratio, the more particles remained in the water without infiltration during the test, which indirectly reflects that the permeability of the sponge road is poor. The larger the value, the better the road permeability during the test. The larger the pressure response characteristic, the better the stability of the state curve of the test environment, and the better the corresponding permeability. The product of the two is Reflects the infiltration index of the rth sponge road under the jth environmental state, W r,j The larger it is, the better the permeability of the r-th sponge road under the j-th environmental state.

[0078] Furthermore, according to the difference between the permeability index and the permeability, the correlation between each sponge road and the permeability under each environmental state is obtained. As an embodiment, the specific calculation method is as follows:

[0079] ρ r1,j =exp(-|W r1,j -F r1 |)

[0080] Where W r1,j is the infiltration index of the r1th sponge road under the jth environmental state, F r1 is the permeability of the r1th sponge road, || is the absolute value, ρ r1,j is the correlation between the r1th sponge road and the permeability under the jth environmental state, exp() is an exponential function with a natural constant as the base, and this embodiment adopts the exp(-U) model to present the inverse proportional relationship, U is the input of the model, and the implementer can set the inverse proportional function according to the specific implementation situation.

[0081] It should be noted that |W r1,j -F r1 | represents the difference between the permeability index and the permeability of the r1th sponge road in the jth environmental state. The smaller the difference value, the more dependent the permeability is on the jth environmental state, and the higher the correlation between the sponge road and the permeability in the jth environmental state.

[0082] So far, the correlation degree between each sponge road and the permeability under each environmental state is obtained.

[0083] Step S003, according to the differences between the pressure response characteristics of different sponge roads and the correlation between the sponge roads and the permeability under environmental conditions, several clusters are obtained; the environmental state curve of each cluster is obtained according to the correlation degree; and the test results of the permeability performance of the new sponge road are obtained according to the fluctuations of the environmental state curve of the cluster.

[0084] It should be noted that the road permeability performance under different environmental conditions can be obtained through the pressure response characteristics inside the sponge road and the degree of correlation with the environmental conditions. The classification and predictive processing of the test data have a certain optimization effect on the test plan and test efficiency, and potential problems and defects can be discovered early, and corresponding maintenance and management measures can be taken in time.

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

[0086]

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

[0088] Get the first distance between the a-th sponge road and the b-th sponge road in each environmental state, and use the minimum value of all first distances as the distance factor between the a-th sponge road and the b-th sponge road.

[0089] Furthermore, all sponge roads are clustered according to the distance factor to obtain several clusters, as follows:

[0090] The distance factor between all sponge roads is obtained, and the distance factor is used as the distance metric for clustering. K-means clustering is performed on all sponge roads to obtain several clusters. It should be noted that in this embodiment, the optimal K value of k-means clustering is obtained according to the elbow method.

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

[0092] Record any cluster as the target cluster.

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

[0094] Furthermore, the test results of the permeability of the new sponge road are obtained according to the fluctuation of the environmental state curve of the cluster, as follows:

[0095] Obtain a new sponge road. It should be noted that the new sponge road is different from the several sponge roads to be tested in step S001. Obtain several environmental state curves of the new sponge road, obtain the variance of all parameter values ​​in each of the several environmental state curves of the new sponge road, record it as the first environmental state variance, and obtain several first environmental state variances. Obtain the variance of all parameter values ​​in the environmental state curve of each cluster, record it as the second environmental state variance, and obtain several second environmental state variances.

[0096] Any first environmental state variance is recorded as the 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 recorded as a second difference value; it should be noted that, for ease of understanding, an example is 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), then the second environmental state variance with the same environmental state is specifically the variance corresponding to the temperature change curve, each cluster corresponds to a second environmental state variance, if there is no same, it does not participate 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 to obtain several second difference values, the second environmental state variance corresponding to the minimum second difference value among all the second difference values ​​is recorded as the target second environmental state variance, the permeability index under the environmental state corresponding to the target second environmental state variance is used as the predicted permeability index of the new sponge road, and the permeability of the new sponge road is obtained. It should be noted that the method of obtaining the permeability of the new sponge road is the same as the method of obtaining the permeability of each sponge road in step S001, which will not be repeated in this embodiment.

[0097] The difference obtained by subtracting the permeability of the new sponge road from the predicted permeability index of the new sponge road is recorded as the first difference. The first difference is input into the sigmoid function for normalization to obtain the normalized first difference. A first threshold is preset. In this embodiment, the first threshold is described as 0.7. If the normalized first difference is greater than the first threshold, the permeability performance of the new sponge road is qualified and meets the design requirements of the sponge road. Otherwise, the permeability performance of the new sponge road is unqualified and does not meet the design requirements of the sponge road.

[0098] Through the above steps, a method for testing the permeability performance of a sponge road is completed.

[0099] Another embodiment of the present invention provides a system for testing the permeability of a sponge road, the system comprising a memory and a processor, and when the processor executes a computer program stored in the memory, the processor performs the following operations:

[0100] Obtain the pressure change curve of each sponge road among several sponge roads to be tested, several environmental state curves of each sponge road, the turbidity of the water above each sponge road after the test and the permeability of each sponge road; obtain 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; obtain the fluctuation characteristic value of each curve in several environmental state curves of each sponge road; obtain the permeability index of each sponge road under each environmental state according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity; obtain the correlation degree between each sponge road and the permeability under each environmental state according to the difference between the permeability index and the permeability; obtain 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; cluster all sponge roads according to the distance factor to obtain several clusters; obtain the environmental state curve of each cluster according to the correlation degree; obtain the test result of the permeability performance of the new sponge road according to the fluctuation of the environmental state curve of the cluster.

[0101] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for testing the permeability of a sponge road, characterized in that: The method comprises the following steps: Obtaining a pressure change curve of each sponge road among a plurality of sponge roads to be tested, a plurality of environmental state curves, the turbidity of water above each sponge road after the test is completed, 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 several environmental state curves of each sponge road is obtained; according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity, the permeability index of each sponge road in each environmental state is obtained; according to the difference between the permeability index and the permeability, the correlation degree between each sponge road and the permeability in each environmental state is obtained; According to the differences in pressure response characteristics of different sponge roads and the correlation between sponge roads and permeability under environmental conditions, the distance factors between different sponge roads are obtained; all sponge roads are clustered according to the distance factors to obtain several clusters; the environmental state curve of each cluster is obtained according to the degree of correlation; and the test results of the permeability performance of the new sponge road are obtained according to the fluctuations of the environmental state curves of the clusters.

2. A method for testing the permeability of a sponge road according to claim 1, characterized in that: 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, and the specific steps include the following: Any sponge road is recorded as the r-th sponge road, and the pressure change curve of the r-th sponge road is recorded as the r-th pressure change curve; The r-th pressure change curve is detected by using a peak detection algorithm to obtain several peak points of the r-th pressure change curve; Where n r is the number of pressure values ​​in the rth pressure change curve, y r,i is the i-th pressure value in the r-th 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 used 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. A method for testing the permeability of a sponge road according to claim 1, characterized in that: The specific method for obtaining the fluctuation characteristic value of each curve in the several environmental state curves of each sponge road is as follows: Any sponge road is recorded as the rth sponge road; Any one of the environmental state curves of the r-th sponge road is recorded as the j-th curve, wherein the j-th curve contains several parameter values, and the absolute value of the difference between all parameter values ​​in the j-th curve is obtained, which is recorded as the first difference value; the average value of all first difference values ​​in the j-th curve is recorded as the fluctuation characteristic value of the j-th curve.

4. A method for testing the permeability of a sponge road according to claim 1, characterized in that: The specific steps of obtaining the permeability index of each sponge road under each environmental state according to the pressure response characteristics, fluctuation characteristic values ​​and turbidity are as follows: Any sponge road is recorded as the rth sponge road; Any environmental state curve among several environmental state curves of the r-th sponge road is recorded as the j-th curve; 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 among several environmental state curves of the rth sponge road, G r is the turbidity of the water above the rth sponge road 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 permeability index of the r-th sponge road under the j-th environmental state.

5. A method for testing the permeability of a sponge road according to claim 1, characterized in that: The method of obtaining the correlation between each sponge road and the permeability under each environmental state according to the difference between the permeability index and the permeability includes the following specific steps: ρ r1,j =exp(-|W r1,j -F r1 |) Where W r1,j is the infiltration index of the r1th sponge road under the jth environmental state, F r1 is the permeability of the r1th sponge road, || is the absolute value, ρ r1,j is the correlation between the r1th sponge road and the permeability under the jth environmental state, and exp( ) is an exponential function with a natural constant as the base.

6. A method for testing the permeability of a sponge road according to claim 1, characterized in that: 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 between the sponge roads and the permeability under the environmental state are as follows: In the formula, E a is the pressure response characteristic of the ath sponge road, E b is the pressure response characteristic of the b-th sponge road, ρ a,h is the correlation between the a-th sponge road and the permeability under the h-th environmental state, ρ b,g is the correlation between the bth sponge road and the permeability under the gth environmental state, S a,h,b,g is the first distance between the a-th sponge road in the h-th environmental state and the b-th sponge road in the g-th environmental state; Get the first distance between the a-th sponge road and the b-th sponge road in each environmental state, and use the minimum value of all first distances as the distance factor between the a-th sponge road and the b-th sponge road.

7. A method for testing the permeability of a sponge road according to claim 1, characterized in that: The specific steps of clustering all sponge roads according to the distance factor to obtain several clusters are as follows: The distance factor between all sponge roads is obtained, and the distance factor is used as the distance metric for clustering. K-means clustering is performed on all sponge roads to obtain several clusters.

8. A method for testing the permeability of a sponge road according to claim 1, characterized in that: The specific steps of obtaining the environmental state curve of each cluster according to the correlation degree are as follows: Record any cluster as the target cluster; The environmental state curve corresponding to the maximum value of the correlation between the sponge road in the target cluster under the environmental state and the permeability is taken as the environmental state curve of the target cluster.

9. A method for testing the permeability of a sponge road according to claim 1, characterized in that: 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, and the specific steps include the following: 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 of the several environmental state curves of the new sponge road, record it as the 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, record it as the second environmental state variance, and obtain several second environmental state variances; Record any first environmental state variance as the target first environmental state variance, record 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 to obtain a number of second difference values, record the second environmental state variance corresponding to the minimum second difference value among all the second difference values ​​as the target second environmental state variance, use 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; The difference obtained by subtracting the permeability of the new sponge road from the predicted permeability index of the new sponge road is recorded as the first difference. The first difference is input into the sigmoid function for normalization to obtain the normalized first difference. A first threshold is preset. If the normalized first difference is greater than the first threshold, the permeability performance of the new sponge road is qualified. Otherwise, the permeability performance of the new sponge road is unqualified.

10. A sponge road permeability testing system, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a method for testing the permeability performance of a sponge road as described in any one of claims 1 to 9 are implemented.

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