A concrete block anti-seepage detection experimental system and method

Abstract

The present invention provides a concrete block anti-seepage test experimental system and method, including: sampling a concrete block to be tested to obtain a plurality of sampling samples, screening the sampling samples according to screening rules to obtain a plurality of concrete block samples, performing multiple anti-seepage tests on each of the concrete block samples, recording test data generated by each of the concrete block samples when performing different anti-seepage tests, establishing performance characteristics corresponding to each of the concrete block samples according to the test data, training the performance characteristics to obtain anti-seepage performance parameters of each of the concrete block samples, performing comprehensive analysis on the anti-seepage performance parameters according to sampling distribution information, and obtaining an anti-seepage performance report of the concrete block to be tested, and the experimental parameters can be automatically adjusted and recorded, and the test water pressure can be gradually increased according to the test progress during the test, thereby solving the problem of requiring people to be on duty during non-working hours.

Description

Technical Field

[0001] The invention relates to the technical field of concrete block detection, and in particular to an anti-seepage detection experimental system and method for concrete blocks. Background Art

[0002] Concrete is a general term for engineering composite materials that are cemented into a whole by cementitious materials. The term concrete usually refers to cement as a cementitious material, sand and stone as aggregates; mixed with water in a certain proportion and obtained by mixing, also known as ordinary concrete. For some buildings, such as hydraulic structures, underwater, water, underground and other construction projects, concrete buildings are required to have a special property - impermeability. The so-called impermeability refers to the ability of concrete to resist the penetration of water or other liquids (light oil, heavy oil, etc.) under pressure. Therefore, concrete blocks need to be tested for impermeability before they are put into use. Generally speaking, special staff conducts impermeability tests on concrete blocks, records data, and then analyzes them. Although this method can achieve the purpose of detection, it requires a large number of staff to conduct experiments, which is not only inefficient but also prone to missed detection and wrong detection.

[0003] Therefore, the present invention provides a concrete block anti-seepage testing system and method. Summary of the invention

[0004] The present invention provides a concrete block anti-seepage testing system and method, which can automatically adjust and record experimental parameters, and can gradually increase the testing water pressure according to the testing progress during testing, thus solving the problem of requiring people to be on duty during non-working hours.

[0005] The present invention provides a concrete block anti-seepage testing system, comprising:

[0006] A sampling and screening module, used for sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples;

[0007] A detection execution module, used to perform multiple anti-seepage tests on each concrete block sample, and record test data generated when each concrete block sample is subjected to different anti-seepage tests;

[0008] A performance analysis module, used to establish performance characteristics corresponding to each concrete block sample according to the test data, train the performance characteristics, and obtain anti-permeability performance parameters of each concrete block sample;

[0009] The performance reasoning module is used to comprehensively analyze the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested.

[0010] In one practicable manner,

[0011] The sampling and screening module comprises:

[0012] A sample sampling unit is used to determine the number of samples for this sampling according to the specification volume of the concrete block to be tested, establish the first sampling number of this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work;

[0013] A sample processing unit is used to construct a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, match a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocess the sampled sample using each preprocessing rule to obtain a target sampled sample;

[0014] A rule building unit, used for establishing a screening logic framework based on the logical relationship between different qualified conditions, establishing corresponding screening conditions according to the condition value corresponding to each qualified condition, and adding each screening condition to the screening logic framework to generate a screening rule;

[0015] The sample screening unit is used to screen each of the target sampling samples using the screening rules to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

[0016] In one practicable manner,

[0017] Also includes:

[0018] A sampling compensation unit, used for counting the existing number of the screening sampling samples, and when the existing number is less than the number of the sample, determining the compensating sampling number according to the difference between the existing number and the number of the sample;

[0019] Dividing the concrete block to be tested into a plurality of soil block areas;

[0020] Determine the sampling weight corresponding to each soil block area in the concrete block to be tested according to the screening sampling sample distribution map, and determine the target soil block area for compensation sampling according to the sampling weight order from low to high combined with the compensation sampling quantity;

[0021] Sampling each of the target soil block areas respectively to obtain a number of compensation sampling samples;

[0022] The compensation sampling samples are screened using the screening conditions, and the screening sampling sample distribution map is updated according to the screening results.

[0023] In one practicable manner,

[0024] The detection execution module includes:

[0025] A multiple detection unit, used to establish a cyclic detection scheme according to a plurality of preset water pressures combined with preset measurement currents, perform anti-seepage detection on each of the concrete block samples using the cyclic detection scheme, and collect a detection video stream corresponding to each of the concrete block samples;

[0026] A data analysis unit is used to obtain a plurality of raster image frames corresponding to each of the detection video streams according to the rasterization processing, encode a plurality of raster image frames corresponding to the same detection video stream, obtain the same position encoding grids in different raster image frames in the same detection video stream for differential comparison, and obtain the video differential data of the detection video stream;

[0027] A data classification unit is used to establish a detection pressure label for the corresponding video differential data according to the detection water pressure corresponding to each detection video stream, analyze each video differential data respectively, obtain a duration-permeability trend graph of each concrete block sample under the corresponding detection pressure, and classify the same-frequency duration-permeability trend graphs corresponding to each concrete block sample under the same detection pressure according to the detection pressure label to obtain a plurality of trend graph sets;

[0028] The data recording unit is used to establish the corresponding permeability vector of each concrete block sample to be tested under the corresponding test pressure according to each trend graph set, obtain the average vector corresponding to the same trend graph set and the vector difference between each permeability vector and the corresponding average vector, and establish the corresponding test data of the corresponding concrete block sample under each test water pressure according to the vector difference.

[0029] In one practicable manner,

[0030] Also includes:

[0031] Determining a value of corresponding test data according to the modulus of the vector difference;

[0032] When the direction of the vector difference is consistent with the average vector, the corresponding test data is determined to be a positive number, otherwise the test data is determined to be a negative number.

[0033] In one practicable manner,

[0034] The performance analysis module comprises:

[0035] A data sorting unit is used to establish a same sample data group according to a plurality of test data corresponding to the same concrete block sample, establish a same pressure data group according to a plurality of test data corresponding to the same detected water pressure, and respectively obtain a group threshold value corresponding to each data group;

[0036] A data analysis unit, configured to determine a time domain threshold corresponding to each of the data groups according to an intra-group threshold corresponding to each of the same sample data groups, locate the time domain threshold in the same sample data group, and search for a corresponding same pressure threshold in the same pressure data group according to a detected water pressure corresponding to the time domain threshold;

[0037] A discrete analysis unit, for extracting the time domain point value contained in each of the same sample data groups when the same pressure threshold value is the same as the maximum value of the corresponding same pressure data group, analyzing the discreteness between each of the time domain point value and the time domain threshold value in combination with a preset discrete model, and establishing a discrete distribution table;

[0038] The feature training unit is used to generate the performance characteristics of the corresponding concrete block samples according to the discrete distribution table, establish the performance display values ​​corresponding to each concrete block sample under different test water pressures according to the same pressure data group, use the performance display values ​​to train the numerical central trend of the corresponding performance characteristics, and obtain the anti-permeability performance parameters corresponding to each concrete block sample under different test water pressures.

[0039] In one practicable manner,

[0040] Also includes:

[0041] When the isobaric threshold value is different from the maximum value of the corresponding isobaric data group, a discrete error parameter is established according to a threshold difference between the isobaric threshold value and the corresponding maximum value;

[0042] Performing error training on the discrete distribution table using the discrete error parameter to obtain a training discrete distribution table;

[0043] The performance characteristics of the corresponding concrete block samples are generated according to the training discrete distribution table.

[0044] In one practicable manner,

[0045] The performance pushing module comprises:

[0046] a performance arrangement unit, configured to establish sampling distribution information according to the sampling position of each concrete block sample in the concrete block to be tested, and to arrange the anti-permeability performance parameters according to the sampling distribution information to obtain a parameter table;

[0047] A parameter analysis unit, used to determine the average anti-permeability performance characteristics of the concrete block to be tested according to the parameter table, and determine the anti-permeability performance corresponding to each area to be tested;

[0048] The report generating unit is used to establish the anti-permeability performance report of the concrete block to be tested according to the average anti-permeability performance characteristics and the anti-permeability performance corresponding to each area to be tested.

[0049] The present invention provides a method for testing the impermeability of concrete blocks, comprising:

[0050] Step 1: sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples;

[0051] Step 2: performing multiple anti-seepage tests on each concrete block sample, and recording test data generated when performing different anti-seepage tests on each concrete block sample;

[0052] Step 3: Establishing the performance characteristics corresponding to each concrete block sample according to the test data, training the performance characteristics, and obtaining the anti-permeability performance parameters of each concrete block sample;

[0053] Step 4: Comprehensively analyze the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested.

[0054] In one practicable manner,

[0055] The step 1 comprises:

[0056] Step 11: Determine the number of samples for this sampling according to the specification and volume of the concrete block to be tested, establish the first sampling number for this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work;

[0057] Step 12: constructing a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, matching a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocessing the sample using each preprocessing rule to obtain a target sample;

[0058] Step 13: Establish a screening logic framework based on the logical relationship between the different qualified conditions, establish corresponding screening conditions according to the condition value corresponding to each qualified condition, and add each screening condition to the screening logic framework to generate screening rules;

[0059] Step 14: Use the screening rules to screen each of the target sampling samples to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

[0060] The achievable beneficial effects of the above technical solution are as follows: in order to improve the efficiency of anti-seepage detection and realize automated detection, concrete block samples are first sampled, and then a number of concrete block samples that can be used for detection are obtained through screening, and then each concrete block sample is subjected to multiple anti-seepage tests, and data is collected in real time during the detection process. The performance characteristics of each concrete block sample are established based on the obtained experimental data, and then the anti-seepage performance parameters of the concrete block sample are determined by training the performance characteristics, and finally a report on the anti-seepage performance of the concrete block sample to be tested is generated through reasoning. In this way, automatic adjustment of water pressure and comprehensive analysis of anti-seepage capacity can be achieved, and the manpower cost consumed in the whole process is low, thereby improving the effectiveness and efficiency of the anti-seepage experiment.

[0061] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0062] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0064] Figure 1 A schematic diagram of the composition of a concrete block anti-seepage testing system according to an embodiment of the present invention;

[0065] Figure 2 The figure is a schematic diagram of the working process of a method for testing the impermeability of concrete blocks in an embodiment of the present invention. DETAILED DESCRIPTION

[0066] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0067] Example 1

[0068] This embodiment provides a concrete block anti-seepage test system and method. Figure 1 As shown, including:

[0069] A sampling and screening module, used for sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples;

[0070] A detection execution module, used to perform multiple anti-seepage tests on each concrete block sample, and record test data generated when each concrete block sample is subjected to different anti-seepage tests;

[0071] A performance analysis module, used to establish performance characteristics corresponding to each concrete block sample according to the test data, train the performance characteristics, and obtain anti-permeability performance parameters of each concrete block sample;

[0072] The performance reasoning module is used to comprehensively analyze the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested.

[0073] In this example, the number of concrete block samples is multiple;

[0074] In this example, the multiple impermeability test refers to the process of conducting an impermeability test on a concrete block sample using water pressures of different intensities;

[0075] In this example, the performance characteristics represent the characteristics exhibited by each concrete block sample under the action of water pressure.

[0076] The working principle and beneficial effects of the above technical solution are as follows: In order to improve the efficiency of anti-seepage detection and realize automated detection, concrete block samples are first sampled, and then a number of concrete block samples that can be used for detection are obtained through screening, and then each concrete block sample is subjected to multiple anti-seepage tests, and data is collected in real time during the detection process. The performance characteristics of each concrete block sample are established based on the obtained experimental data, and then the anti-seepage performance parameters of the concrete block sample are determined by training the performance characteristics, and finally a report on the anti-seepage performance of the concrete block sample to be tested is generated through reasoning. In this way, automatic adjustment of water pressure and comprehensive analysis of anti-seepage capacity can be achieved, and the whole process consumes low labor costs, thereby improving the effectiveness and efficiency of the anti-seepage experiment.

[0077] Example 2

[0078] On the basis of Example 1, the concrete block anti-seepage detection experimental system, the sampling and screening module, comprises:

[0079] A sample sampling unit is used to determine the number of samples for this sampling according to the specification volume of the concrete block to be tested, establish the first sampling number of this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work;

[0080] A sample processing unit is used to construct a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, match a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocess the sampled sample using each preprocessing rule to obtain a target sampled sample;

[0081] A rule building unit, used for establishing a screening logic framework based on the logical relationship between different qualified conditions, establishing corresponding screening conditions according to the condition value corresponding to each qualified condition, and adding each screening condition to the screening logic framework to generate a screening rule;

[0082] The sample screening unit is used to screen each of the target sampling samples using the screening rules to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

[0083] In this example, the first sampling quantity indicates the quantity of the concrete block samples to be tested that are sampled for the first time;

[0084] In this example, the qualified condition represents the condition used to analyze whether the concrete block sample to be tested is qualified;

[0085] In this example, one qualified condition corresponds to one condition dimension, and the condition dimension indicates the angle corresponding to the qualified condition;

[0086] In this example, the pre-processing rule indicates that the concrete block sample is physically processed using the rule, and the processed concrete block sample meets the corresponding qualified conditions.

[0087] The working principle and beneficial effects of the above technical solution are as follows: in order to avoid the influence of accidental circumstances on sampling, the number of samples required for this sampling is determined according to the specification volume of the concrete block sample to be tested, the number of samples for the first sampling work is determined, and then sampling is performed to obtain a number of sampling samples, and the qualified standards of the concrete block to be tested are further used to establish qualified conditions, and the conditional dimensions of each qualified condition are used to find the corresponding preprocessing rules, and the sampling samples are preprocessed using the preprocessing rules to obtain a number of target sampling samples, and then the logical relationship between the qualified conditions is combined with the conditional values ​​corresponding to the qualified conditions to establish screening conditions to generate screening rules, and the target sampling samples are screened using the screening rules to obtain screening sampling samples that meet the screening conditions, and then a sampling sample distribution map is constructed according to the distribution of the screening sampling samples, so as to extract screening sampling samples consistent with the sample number, and obtain a number of concrete block samples for this sampling, and the sampling work is completed. In this way, unqualified samples can be eliminated during sampling, and the samples are preprocessed to a certain extent, which reduces the steps of subsequent work and improves work efficiency.

[0088] Example 3

[0089] Based on Example 2, the concrete block anti-permeability testing system further includes:

[0090] A sampling compensation unit, used for counting the existing number of the screening sampling samples, and when the existing number is less than the number of the sample, determining the compensating sampling number according to the difference between the existing number and the number of the sample;

[0091] Dividing the concrete block to be tested into a plurality of soil block areas;

[0092] Determine the sampling weight corresponding to each soil block area in the concrete block to be tested according to the screening sampling sample distribution map, and determine the target soil block area for compensation sampling according to the sampling weight order from low to high combined with the compensation sampling quantity;

[0093] Sampling each of the target soil block areas respectively to obtain a number of compensation sampling samples;

[0094] The compensation sampling samples are screened using the screening conditions, and the screening sampling sample distribution map is updated according to the screening results.

[0095] The working principle and beneficial effects of the above technical solution are as follows: when the number of screening sampling samples is insufficient, the location with low sampling density in the concrete block to be tested is determined by analyzing the screening sampling sample distribution map, and then sampling is performed at this location, which not only compensates for the sampling quantity but also ensures the effectiveness of the sampling.

[0096] Example 4

[0097] On the basis of Example 1, the concrete block anti-permeability detection experimental system, the detection execution module, includes:

[0098] A multiple detection unit, used to establish a cyclic detection scheme according to a plurality of preset water pressures combined with preset measurement currents, perform anti-seepage detection on each of the concrete block samples using the cyclic detection scheme, and collect a detection video stream corresponding to each of the concrete block samples;

[0099] A data analysis unit is used to obtain a plurality of raster image frames corresponding to each of the detection video streams according to the rasterization processing, encode a plurality of raster image frames corresponding to the same detection video stream, obtain the same position encoding grids in different raster image frames in the same detection video stream for differential comparison, and obtain the video differential data of the detection video stream;

[0100] A data classification unit is used to establish a detection pressure label for the corresponding video differential data according to the detection water pressure corresponding to each detection video stream, analyze each video differential data respectively, obtain a duration-permeability trend graph of each concrete block sample under the corresponding detection pressure, and classify the same-frequency duration-permeability trend graphs corresponding to each concrete block sample under the same detection pressure according to the detection pressure label to obtain a plurality of trend graph sets;

[0101] The data recording unit is used to establish the corresponding permeability vector of each concrete block sample to be tested under the corresponding test pressure according to each trend graph set, obtain the average vector corresponding to the same trend graph set and the vector difference between each permeability vector and the corresponding average vector, and establish the corresponding test data of the corresponding concrete block sample under each test water pressure according to the vector difference.

[0102] In this example, the preset water pressure represents a number of water pressures of different strengths used for anti-seepage testing;

[0103] In this example, the preset measurement current represents a number of different currents used to perform anti-seepage testing in accordance with the preset water pressure, and the preset voltage is compensated by the preset measurement current to ensure that the water pressure during the detection process of a preset water pressure is maintained at the same pressure;

[0104] In this example, the rasterization process means converting the detection video stream into a raster form composed of image frames;

[0105] In this example, the grid image frame represents an image frame containing a number of grids;

[0106] In this example, encoding the raster image frame means a process of establishing distinguishing codes for the raster in each raster image frame in the detection video stream;

[0107] In this example, the video differential data represents different data presented in different raster images in the detected video stream;

[0108] In this example, the same-position coded grid represents the grid corresponding to the same position in different grid image frames;

[0109] In this example, the same frequency duration-permeability trend graph represents the permeability trend graph corresponding to different concrete block samples when the detection water pressure is the same.

[0110] The working principle and beneficial effects of the above technical solution are as follows: in order to realize automatic detection, a cyclic detection scheme is established according to several preset water pressures and preset measurement currents, so that the scheme is used to perform anti-seepage detection on concrete block samples, and a detection video stream is collected during the detection process, and then the detection video stream is rasterized to obtain several raster images, and the video differential data corresponding to the same-position encoded grid is analyzed by encoding combined with differential comparison, and then a duration-permeability trend graph is established according to the video differential data of each concrete block sample under the detection water pressure, and a trend graph set is established by classifying the permeability trend graphs under the same detection water pressure, so as to establish the permeability vector of the concrete block sample to be tested, and the test data corresponding to each concrete block sample under different detection water pressures is determined by analyzing the permeability vector, so that the trend graphs of multiple concrete block samples can be analyzed at the same time, and the vector is used to further avoid data disorder and ensure the validity of the test data.

[0111] Example 5

[0112] Based on Example 4, the concrete block anti-permeability detection experimental system further includes:

[0113] Determining a value of corresponding test data according to the modulus of the vector difference;

[0114] When the direction of the vector difference is consistent with the average vector, the corresponding test data is determined to be a positive number, otherwise the test data is determined to be a negative number.

[0115] The working principle and beneficial effects of the above technical solution are as follows: by using the corresponding modulus length and direction to determine the value and positive and negative of the test data, data disorder is effectively avoided.

[0116] Example 6

[0117] On the basis of Example 1, the concrete block impermeability detection experimental system, the performance analysis module, comprises:

[0118] A data sorting unit is used to establish a same sample data group according to a plurality of test data corresponding to the same concrete block sample, establish a same pressure data group according to a plurality of test data corresponding to the same detected water pressure, and respectively obtain a group threshold value corresponding to each data group;

[0119] A data analysis unit, configured to determine a time domain threshold corresponding to each of the data groups according to an intra-group threshold corresponding to each of the same sample data groups, locate the time domain threshold in the same sample data group, and search for a corresponding same pressure threshold in the same pressure data group according to a detected water pressure corresponding to the time domain threshold;

[0120] A discrete analysis unit, for extracting the time domain point value contained in each of the same sample data groups when the same pressure threshold value is the same as the maximum value of the corresponding same pressure data group, analyzing the discreteness between each of the time domain point value and the time domain threshold value in combination with a preset discrete model, and establishing a discrete distribution table;

[0121] The feature training unit is used to generate the performance characteristics of the corresponding concrete block samples according to the discrete distribution table, establish the performance display values ​​corresponding to each concrete block sample under different test water pressures according to the same pressure data group, use the performance display values ​​to train the numerical central trend of the corresponding performance characteristics, and obtain the anti-permeability performance parameters corresponding to each concrete block sample under different test water pressures.

[0122] In this example, the discrete model can be a discrete event model;

[0123] In this example, the time domain point value represents the value corresponding to a time domain point in the same sample data set;

[0124] In this example, the numerical central tendency represents one or both of the mean and the median in the performance characteristic.

[0125] The working principle and beneficial effects of the above technical solution are as follows: after the detection work is completed, a same sample data group and a same pressure data group are established, and the intra-group threshold of each data group is determined respectively, and then the intra-group threshold of the same sample data group is used to determine the time domain threshold of the data group, and then the time domain threshold is located in the same sample data group, and the corresponding same pressure threshold is found in the same pressure data group. After the search is completed, if the same pressure threshold corresponds to the maximum value of the same pressure data group, the time domain point value in the same sample data group is discretely analyzed, and a discrete distribution table is established to generate the performance characteristics of the concrete block samples, and the performance characteristics are further trained according to the performance display values ​​of the concrete block samples under different test water pressures, thereby obtaining the anti-permeability performance parameters of the concrete block samples under different test water pressures. In this way, not only each concrete block sample can be tested and analyzed, but also the anti-permeability performance parameters of different concrete block samples can be calibrated and trained, thereby improving the effectiveness of this detection.

[0126] Example 7

[0127] Based on Example 6, the concrete block anti-permeability detection experimental system further includes:

[0128] When the isobaric threshold value is different from the maximum value of the corresponding isobaric data group, a discrete error parameter is established according to a threshold difference between the isobaric threshold value and the corresponding maximum value;

[0129] Performing error training on the discrete distribution table using the discrete error parameter to obtain a training discrete distribution table;

[0130] The performance characteristics of the corresponding concrete block samples are generated according to the training discrete distribution table.

[0131] The working principle and beneficial effects of the above technical solution are as follows: In order to reduce errors and improve detection efficiency, discrete error parameters are established based on the threshold difference between the same pressure threshold and the maximum value of the corresponding same pressure data group, and then the discrete error parameters are error trained on the discrete distribution table, and the performance characteristics of the concrete block samples are determined by the training results.

[0132] Example 8

[0133] On the basis of Example 1, the concrete block impermeability detection experimental system, the performance pushing module, comprises:

[0134] a performance arrangement unit, configured to establish sampling distribution information according to the sampling position of each concrete block sample in the concrete block to be tested, and to arrange the anti-permeability performance parameters according to the sampling distribution information to obtain a parameter table;

[0135] A parameter analysis unit, used to determine the average anti-permeability performance characteristics of the concrete block to be tested according to the parameter table, and determine the anti-permeability performance corresponding to each area to be tested;

[0136] The report generating unit is used to establish the anti-permeability performance report of the concrete block to be tested according to the average anti-permeability performance characteristics and the anti-permeability performance corresponding to each area to be tested.

[0137] The working principle and beneficial effects of the above technical solution: by using the sample distribution information to arrange the anti-seepage performance parameters and then conducting a full-day analysis, the anti-seepage performance of each area in the concrete block to be tested can be presented, which expands the coverage of this test and improves the comprehensiveness of the test.

[0138] Example 9

[0139] This example provides a concrete block impermeability test method. Figure 2 As shown, including:

[0140] Step 1: sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples;

[0141] Step 2: performing multiple anti-seepage tests on each concrete block sample, and recording test data generated when performing different anti-seepage tests on each concrete block sample;

[0142] Step 3: Establishing the performance characteristics corresponding to each concrete block sample according to the test data, training the performance characteristics, and obtaining the anti-permeability performance parameters of each concrete block sample;

[0143] Step 4: Comprehensively analyze the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested.

[0144] In this example, the number of concrete block samples is multiple;

[0145] In this example, the multiple impermeability test refers to the process of conducting an impermeability test on a concrete block sample using water pressures of different intensities;

[0146] In this example, the performance characteristics represent the characteristics exhibited by each concrete block sample under the action of water pressure.

[0147] The working principle and beneficial effects of the above technical solution are as follows: In order to improve the efficiency of anti-seepage detection and realize automated detection, concrete block samples are first sampled, and then a number of concrete block samples that can be used for detection are obtained through screening, and then each concrete block sample is subjected to multiple anti-seepage tests, and data is collected in real time during the detection process. The performance characteristics of each concrete block sample are established based on the obtained experimental data, and then the anti-seepage performance parameters of the concrete block sample are determined by training the performance characteristics, and finally a report on the anti-seepage performance of the concrete block sample to be tested is generated through reasoning. In this way, automatic adjustment of water pressure and comprehensive analysis of anti-seepage capacity can be achieved, and the whole process consumes low labor costs, thereby improving the effectiveness and efficiency of the anti-seepage experiment.

[0148] Example 10

[0149] On the basis of Example 9, the method for testing the impermeability of concrete blocks, step 1, comprises:

[0150] Step 11: Determine the number of samples for this sampling according to the specification and volume of the concrete block to be tested, establish the first sampling number for this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work;

[0151] Step 12: constructing a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, matching a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocessing the sample using each preprocessing rule to obtain a target sample;

[0152] Step 13: Establish a screening logic framework based on the logical relationship between the different qualified conditions, establish corresponding screening conditions according to the condition value corresponding to each qualified condition, and add each screening condition to the screening logic framework to generate screening rules;

[0153] Step 14: Use the screening rules to screen each of the target sampling samples to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

[0154] In this example, the first sampling quantity indicates the quantity of the concrete block samples to be tested that are sampled for the first time;

[0155] In this example, the qualified condition represents the condition used to analyze whether the concrete block sample to be tested is qualified;

[0156] In this example, one qualified condition corresponds to one condition dimension, and the condition dimension indicates the angle corresponding to the qualified condition;

[0157] In this example, the pre-processing rule indicates that the concrete block sample is physically processed using the rule, and the processed concrete block sample meets the corresponding qualified conditions.

[0158] The working principle and beneficial effects of the above technical solution are as follows: in order to avoid the influence of accidental circumstances on sampling, the number of samples required for this sampling is determined according to the specification volume of the concrete block sample to be tested, the number of samples for the first sampling work is determined, and then sampling is performed to obtain a number of sampling samples, and the qualified standards of the concrete block to be tested are further used to establish qualified conditions, and the conditional dimensions of each qualified condition are used to find the corresponding preprocessing rules, and the sampling samples are preprocessed using the preprocessing rules to obtain a number of target sampling samples, and then the logical relationship between the qualified conditions is combined with the conditional values ​​corresponding to the qualified conditions to establish screening conditions to generate screening rules, and the target sampling samples are screened using the screening rules to obtain screening sampling samples that meet the screening conditions, and then a sampling sample distribution map is constructed according to the distribution of the screening sampling samples, so as to extract screening sampling samples consistent with the sample number, and obtain a number of concrete block samples for this sampling, and the sampling work is completed. In this way, unqualified samples can be eliminated during sampling, and the samples are preprocessed to a certain extent, which reduces the steps of subsequent work and improves work efficiency.

[0159] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A concrete block impermeability test system, characterized in that: include: A sampling and screening module, used for sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples; A detection execution module, used to perform multiple anti-seepage tests on each concrete block sample, and record the test data generated when each concrete block sample is subjected to different anti-seepage tests; A performance analysis module, used to establish performance characteristics corresponding to each concrete block sample according to the test data, train the performance characteristics, and obtain anti-permeability performance parameters of each concrete block sample; A performance reasoning module, used to comprehensively analyze the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested; The sampling and screening module comprises: A sample sampling unit is used to determine the number of samples for this sampling according to the specification volume of the concrete block to be tested, establish the first sampling number of this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work; A sample processing unit is used to construct a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, match a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocess the sampled sample using each preprocessing rule to obtain a target sampled sample; A rule building unit, used for establishing a screening logic framework based on the logical relationship between different qualified conditions, establishing corresponding screening conditions according to the condition value corresponding to each qualified condition, and adding each screening condition to the screening logic framework to generate a screening rule; The sample screening unit is used to screen each of the target sampling samples using the screening rules to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

2. A concrete block anti-seepage test system as claimed in claim 1, characterized in that: Also includes: A sampling compensation unit, used for counting the existing number of the screening sampling samples, and when the existing number is less than the number of the sample, determining the compensating sampling number according to the difference between the existing number and the number of the sample; Dividing the concrete block to be tested into a plurality of soil block areas; Determine the sampling weight corresponding to each soil block area in the concrete block to be tested according to the screening sampling sample distribution map, and determine the target soil block area for compensation sampling according to the sampling weight order from low to high combined with the compensation sampling quantity; Sampling each of the target soil block areas respectively to obtain a number of compensation sampling samples; The compensation sampling samples are screened using the screening conditions, and the screening sampling sample distribution map is updated according to the screening results.

3. The concrete block anti-seepage test system according to claim 1, characterized in that: The detection execution module includes: A multiple detection unit, used to establish a cyclic detection scheme according to a plurality of preset water pressures combined with preset measurement currents, perform anti-seepage detection on each of the concrete block samples using the cyclic detection scheme, and collect a detection video stream corresponding to each of the concrete block samples; A data analysis unit is used to obtain a plurality of raster image frames corresponding to each of the detection video streams according to the rasterization processing, encode a plurality of raster image frames corresponding to the same detection video stream, obtain the same position coding grids in different raster image frames in the same detection video stream for differential comparison, and obtain the video differential data of the detection video stream; A data classification unit is used to establish a detection pressure label for the corresponding video differential data according to the detection water pressure corresponding to each detection video stream, analyze each video differential data respectively, obtain a duration-permeability trend graph of each concrete block sample under the corresponding detection pressure, and classify the same-frequency duration-permeability trend graphs corresponding to each concrete block sample under the same detection pressure according to the detection pressure label to obtain a plurality of trend graph sets; The data recording unit is used to establish the corresponding permeability vector of each concrete block sample to be tested under the corresponding test pressure according to each trend graph set, obtain the average vector corresponding to the same trend graph set and the vector difference between each permeability vector and the corresponding average vector, and establish the corresponding test data of the corresponding concrete block sample under each test water pressure according to the vector difference.

4. A concrete block anti-seepage test system as claimed in claim 3, characterized in that: Also includes: Determining a value of corresponding test data according to the modulus of the vector difference; When the direction of the vector difference is consistent with the average vector, the corresponding test data is determined to be a positive number, otherwise the test data is determined to be a negative number.

5. The concrete block anti-seepage test system according to claim 1, characterized in that: The performance analysis module comprises: A data sorting unit is used to establish a same sample data group according to a plurality of test data corresponding to the same concrete block sample, establish a same pressure data group according to a plurality of test data corresponding to the same detected water pressure, and respectively obtain a group threshold value corresponding to each data group; A data analysis unit, configured to determine a time domain threshold corresponding to each of the data groups according to an intra-group threshold corresponding to each of the same sample data groups, locate the time domain threshold in the same sample data group, and search for a corresponding same pressure threshold in the same pressure data group according to a detected water pressure corresponding to the time domain threshold; A discrete analysis unit, for extracting the time domain point value contained in each of the same sample data groups when the same pressure threshold value is the same as the maximum value of the corresponding same pressure data group, analyzing the discreteness between each of the time domain point value and the time domain threshold value in combination with a preset discrete model, and establishing a discrete distribution table; The feature training unit is used to generate the performance characteristics of the corresponding concrete block samples according to the discrete distribution table, establish the performance display values ​​corresponding to each concrete block sample under different test water pressures according to the same pressure data group, use the performance display values ​​to train the numerical central trend of the corresponding performance characteristics, and obtain the anti-permeability performance parameters corresponding to each concrete block sample under different test water pressures.

6. A concrete block anti-seepage test system as claimed in claim 5, characterized in that: Also includes: When the isobaric threshold value is different from the maximum value of the corresponding isobaric data group, a discrete error parameter is established according to the threshold difference between the isobaric threshold value and the corresponding maximum value; Performing error training on the discrete distribution table using the discrete error parameter to obtain a training discrete distribution table; The performance characteristics of the corresponding concrete block samples are generated according to the training discrete distribution table.

7. The concrete block anti-seepage test system according to claim 1, characterized in that: The performance reasoning module comprises: a performance arrangement unit, configured to establish sampling distribution information according to the sampling position of each concrete block sample in the concrete block to be tested, and to arrange the anti-permeability performance parameters according to the sampling distribution information to obtain a parameter table; A parameter analysis unit, used to determine the average anti-permeability performance characteristics of the concrete block to be tested according to the parameter table, and determine the anti-permeability performance corresponding to each area to be tested; The report generating unit is used to establish the anti-permeability performance report of the concrete block to be tested according to the average anti-permeability performance characteristics and the anti-permeability performance corresponding to each area to be tested.

8. A method for testing the impermeability of concrete blocks, characterized in that: include: Step 1: sampling the concrete blocks to be tested to obtain a plurality of sampling samples, and screening the sampling samples according to screening rules to obtain a plurality of concrete block samples; Step 2: performing multiple anti-seepage tests on each concrete block sample, and recording test data generated when performing different anti-seepage tests on each concrete block sample; Step 3: Establishing the performance characteristics corresponding to each concrete block sample according to the test data, training the performance characteristics, and obtaining the anti-permeability performance parameters of each concrete block sample; Step 4: Comprehensively analyzing the anti-seepage performance parameters according to the sampling distribution information to obtain an anti-seepage performance report of the concrete block to be tested; The step 1 comprises: Step 11: Determine the number of samples for this sampling according to the specification and volume of the concrete block to be tested, establish the first sampling number for this sampling work based on the sample number, and perform a corresponding number of sampling on the concrete block to be tested according to the first sampling number to obtain the sampling samples corresponding to each sampling work; Step 12: constructing a plurality of qualified conditions according to the qualified standard of the concrete block to be tested, matching a corresponding preprocessing rule for each qualified condition according to the condition dimension corresponding to each qualified condition, and preprocessing the sample using each preprocessing rule to obtain a target sample; Step 13: Establish a screening logic framework based on the logical relationship between the different qualified conditions, establish corresponding screening conditions according to the condition value corresponding to each qualified condition, and add each screening condition to the screening logic framework to generate screening rules; Step 14: Use the screening rules to screen each of the target sampling samples to obtain a number of screening sampling samples, establish a screening sampling sample distribution map according to the sampling position information corresponding to each of the screening sampling samples in the concrete block to be tested, extract a corresponding number of screening sampling samples from the screening sampling sample distribution map based on the sample quantity, and obtain a number of concrete block samples for this sampling.

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