A drainage method and system combining hydration expansion kinetics and multi-parameter sensing

Abstract

The application belongs to the technical field of material detection, and particularly relates to a drainage method and system combining hydration expansion dynamics and multi-parameter sensing. The method comprises the following steps: generating simulated hydration expansion materials and corresponding estimated responses according to control parameters of the hydration expansion materials; then generating drainage response values, temperature response values and pressure response values based on monitoring actual hydration expansion materials; comparing the drainage response values of the actual hydration expansion materials with the estimated responses to determine comparison samples; and dividing performance parameters into control parameters and measurement parameters, and generating a complete performance parameter set composed of multiple groups of data for the control parameters. The application adopts quantitative comparison of the drainage response values and multiple estimated responses, and utilizes temperature and pressure responses to check data effectiveness, so as to exclude the influence of abnormal data segments on the measurement results, more accurately determine the performance parameters of the materials, improve the evaluation efficiency, and realize accurate measurement of the performance parameters of the materials.

Description

Technical Field

[0001] This invention belongs to the field of materials testing technology, specifically relating to a diversion method and system that combines hydration expansion kinetics with multi-parameter sensing. Background Technology

[0002] Hydrated expansion materials can expand in volume by absorbing water, enabling them to be used in tunnels, underground structures, pipeline construction, and mine seepage prevention to form a waterproof barrier through volume expansion and sealing. This ensures the stability and safety of the construction facilities and prevents structural damage and safety accidents caused by groundwater leakage.

[0003] During the application of hydration expansion materials, the sealing effect is difficult to achieve as expected due to the interaction between the material's own properties and the drainage medium. Existing technologies lack real-time monitoring and dynamic analysis of the hydration process of hydration expansion materials, and only evaluate the performance of hydration expansion materials through static parameters in the laboratory, which leads to the inability to detect and intervene in time when anomalies occur on site.

[0004] Furthermore, since the hydration reaction of hydration expansion materials is exothermic and produces an expansion effect, abnormal temperature or pressure during the reaction process will inhibit the water absorption of the hydration expansion materials, leading to a decrease in expansion performance, which in turn leads to insufficient sealing pressure, easily causing leakage and affecting project safety.

[0005] Based on the above-mentioned technical problems, this application provides a diversion method and system that combines hydration expansion dynamics with multi-parameter sensing. Summary of the Invention

[0006] The purpose of this invention is to provide a drainage method and system that combines hydration expansion kinetics with multi-parameter sensing, in order to solve the problem in the prior art that the rapid interaction between the hydration expansion material and the drainage medium during the rapid hydration process will cause corresponding temperature or pressure changes in the drainage medium, and when the above-mentioned abnormal reaction acts on the hydration expansion material, it will reduce its water absorption performance, thereby affecting the final pressurization effect.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] A method for evaluating the drainage characteristics of hydration-expanding materials includes the following steps:

[0009] Monitor the drainage response value generated by the actual hydration expansion material under the action of the drainage medium;

[0010] The diversion response value was compared with the predicted response of multiple simulated hydration expansion materials to determine the performance deviation;

[0011] Based on the matching relationship between the performance deviation and multiple preset deviation allowable ranges, a comparison sample matching the actual hydration expansion material performance is determined;

[0012] The process of generating predicted responses for multiple simulated hydration-expanding materials includes: acquiring performance parameters of the hydration-expanding materials, including the density of the diversion medium, the initial volume of the hydration-expanding materials, the water absorption per unit volume, and the water absorption efficiency per unit time; classifying the performance parameters into control parameters according to a preset classification standard; generating multiple sets of control parameters with gradient differences based on the control parameters; generating multiple simulated hydration-expanding materials with performance differences based on the multiple sets of control parameters; and calculating the predicted response for each simulated hydration-expanding material.

[0013] Preferably, the step of classifying performance parameters into control parameters according to a preset classification standard includes:

[0014] Choose one parameter as a baseline variable from the following: water absorption per unit volume, water absorption efficiency per unit time, and initial volume of the hydration expansion material; compare the values ​​of the other two parameters with the preset classification benchmark; if the value of a parameter does not meet the classification benchmark, then that parameter is determined as a control parameter.

[0015] Preferably, the drainage response value is determined by calculating the drainage volume and density of the drainage medium measured at multiple time points.

[0016] Preferably, the method further includes:

[0017] Temperature and pressure of the drainage medium are collected at multiple time points to generate temperature and pressure response values; the variation of temperature and pressure response values ​​within a continuous time interval is statistically analyzed to determine the response offset value; comparison is performed only if the response offset value does not exceed the preset allowable range.

[0018] Preferably, the step of determining the comparison sample that matches the performance of the actual hydration-expanding material based on the matching relationship between the performance deviation and multiple preset deviation allowable ranges includes:

[0019] If the performance deviation falls within any permissible deviation range, the simulated hydration expansion material corresponding to the performance deviation is identified as the comparison sample, and the performance parameters of the comparison sample are recorded as the measurement result; if the performance deviation does not fall within any permissible deviation range, the simulated hydration expansion material corresponding to the performance deviation is identified as the sample to be confirmed, and an evaluation prompt is output.

[0020] A system for evaluating the drainage characteristics of hydration expansion materials includes the following modules:

[0021] The simulation modeling module is used to generate multiple simulated hydration-expanding materials with different performance based on the control parameters of the hydration-expanding material, and to calculate the predicted response of each simulated hydration-expanding material.

[0022] The response acquisition module is used to monitor the drainage process of the actual hydration expansion material under the action of the drainage medium, and to collect the drainage volume to generate drainage response values;

[0023] The performance evaluation module is used to compare the drainage response value generated by the response acquisition module with the predicted response generated by the simulation modeling module to determine the performance deviation, and to determine the comparison sample that matches the actual hydration expansion material performance based on the matching relationship between the performance deviation and multiple preset deviation allowable intervals.

[0024] Preferably, the simulation modeling module is further used for:

[0025] The performance parameters of the hydration expansion material are obtained, including the density of the drainage medium, the initial volume of the hydration expansion material, the water absorption per unit volume, and the water absorption efficiency per unit time. According to the preset classification criteria, the performance parameters are classified into control parameters. Based on the control parameters, multiple sets of control parameters with gradient differences are generated to generate multiple simulated hydration expansion materials.

[0026] Preferably, classifying performance parameters into control parameters according to a preset classification standard includes:

[0027] Choose one parameter as a baseline variable from the following: water absorption per unit volume, water absorption efficiency per unit time, and initial volume of the hydration expansion material; compare the values ​​of the other two parameters with the preset classification benchmark; if the value of a parameter does not meet the classification benchmark, then that parameter is determined as a control parameter.

[0028] Preferably, the response acquisition module is further used to acquire the temperature and pressure of the drainage medium to generate temperature response values ​​and pressure response values;

[0029] The performance evaluation module is also used to: statistically analyze the changes in temperature and pressure response values ​​over a continuous time interval to determine the response offset value; and perform a comparison only if the response offset value does not exceed the preset allowable range.

[0030] Preferably, the system further includes:

[0031] The results output module is used to record the performance parameters of the comparison sample as the measurement result when the performance evaluation module determines the comparison sample; and to output an evaluation prompt when the performance evaluation module does not determine the comparison sample.

[0032] The technical solution of the present invention has the following advantages compared with the prior art:

[0033] This invention generates multiple simulated hydration-expanding materials with different performance characteristics and their predicted responses based on control parameters. The actual hydration-expanding material's drainage response value is compared with the predicted response. The comparison sample is determined based on the matching relationship between the performance deviation and the preset deviation allowable range. By using quantitative comparison between the drainage response value and multiple predicted responses, the performance parameters of the material can be determined more accurately, thus improving the accuracy of the measurement results.

[0034] This invention divides performance parameters into control parameters and measurement parameters by using a preset classification standard. It generates multiple sets of data with performance differences only for control parameters, which speeds up the generation of complete performance parameter sets and improves evaluation efficiency.

[0035] This invention monitors the drainage volume while simultaneously collecting the temperature and pressure of the drainage medium to generate temperature and pressure response values. By calculating the variation range of the temperature and pressure response values, the response offset value is determined. When the response offset value exceeds the preset allowable range, the data of the corresponding continuous time interval is marked as an abnormal data segment. Abnormal data segments caused by external factors are identified and marked to eliminate the influence of abnormal data segments on the measurement results. Attached Figure Description

[0036] Figure 1 This is a flowchart of the method provided by the present invention;

[0037] Figure 2 This is a system module diagram provided by the present invention. Detailed Implementation

[0038] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0039] Example 1

[0040] Please refer to Figure 1 This embodiment discloses a drainage method that combines hydration expansion kinetics with multi-parameter sensing. The specific steps are as follows:

[0041] A standardized environment is provided for testing the performance of actual hydration-expanding materials. The standardized environment includes a test device with a water storage tank and a diversion tank. The test device achieves fluid communication through a diversion measurement device. The diversion measurement device is equipped with a first detection path. The structure and dimensions of the first detection path are pre-calibrated to guide the diversion medium, such as water, salt solution or other liquid media commonly used in engineering, to make controlled and standardized initial contact with the actual hydration-expanding material to be tested.

[0042] Furthermore, the core performance parameters of the actual hydration-expanding material are obtained. Specifically, the core performance parameters include: the density of the diversion medium of the hydration-expanding material determined by experiments or provided by the material supplier, the initial volume of the hydration-expanding material, the water absorption per unit volume of the material, the water absorption efficiency of the material per unit time, and the theoretical maximum expansion volume of the hydration-expanding material. The set of the above performance parameters is used as the original dataset describing the basic performance of the hydration-expanding material.

[0043] Furthermore, based on the stability and determinism of each performance parameter during the testing process, the performance parameters are divided to distinguish between dynamic variables and static benchmarks. Dynamic variables are used for subsequent simulations, while static benchmarks are used for evaluation and comparison. Specifically, the parameter classification process selects one of the following as a benchmark variable: water absorption per unit volume, water absorption efficiency per unit time, and initial volume of the hydrated expansion material. A numerical classification benchmark is set by using the benchmark variable as a reference point during the parameter classification process. This numerical classification benchmark can be any one of the following: an industry standard value, an empirical average value obtained based on a large amount of historical test data, or the value of the benchmark variable with the greatest weight in influencing the final expansion volume.

[0044] Specifically, the values ​​of the other two parameters are compared one by one with the classification benchmark. If the deviation of a certain parameter from the classification benchmark is within the threshold range representing its stable performance, then the parameter is determined as the measurement parameter, indicating that the parameter can be regarded as a relatively constant quantity in this round of testing.

[0045] If the deviation of the parameter value from the classification benchmark exceeds the stability threshold, it indicates that the parameter has a large degree of uncertainty or volatility. The parameter is then determined as a control parameter, and its impact on the overall drainage performance is further determined.

[0046] Furthermore, based on one or more defined control parameters, a series of parameter sets representing different performance characteristics of simulated hydration expansion materials are created through preset parameter generation rules;

[0047] The theoretical dataset for generating simulated hydration expansion materials includes: setting a target accuracy level, with each accuracy level corresponding to a specific numerical deviation range; taking the original values ​​of the control parameters as the center, and within the deviation range determined by the target accuracy level, generating multiple sets of continuously changing simulated parameter values ​​according to a preset numerical step size or gradient; wherein, the target accuracy level is related to the numerical change step size or gradient of the original values ​​of the control parameters, and the numerical change step size or gradient is related to the physical properties of the control parameters.

[0048] Then, each set of simulated parameter values ​​is combined with the determined measured parameters to form a complete set of performance parameters representing the simulated hydration expansion material;

[0049] Specifically, when generating a complete performance parameter set, if there are 4 key parameters, the traditional full combination simulation with 10 gradients for each parameter would require generating 10,000 simulated materials. However, by combining each set of simulated parameter values ​​with the determined measurement parameters, only the key parameters set as measurement parameters are used to generate the complete performance parameter set, which requires only 100 simulation data. This directly reduces the order of magnitude of simulated material generation, thereby increasing the generation speed of the complete performance parameter set and improving evaluation efficiency.

[0050] Based on the physical rules or empirical calculation procedures describing the relationship between hydration expansion behavior and drainage process, the theoretical drainage dynamic curve of each simulated hydration expansion material is calculated as the predicted response throughout the drainage process for the performance parameter set of each simulated hydration expansion material. The predicted response represents the expected drainage performance of the simulated material under standardized test conditions. The predicted responses of all simulated hydration expansion materials are combined to form a theoretical dataset that serves as a reference library for matching and screening with actual measurement data.

[0051] Furthermore, the drainage medium is introduced through the first detection path, so that the drainage medium comes into contact with the actual hydration expansion material and the drainage process is initiated. During the drainage process, the monitoring equipment continuously collects the drainage volume, drainage medium temperature and drainage medium pressure at multiple consecutive time points uniformly calibrated as response time points, and records the collected data in sequence as a time series of drainage response value, temperature response value and pressure response value.

[0052] Among them, the drainage response value is the mass value calculated by multiplying the actual drainage volume and the real-time measured drainage medium density at each response time point. The calculation of the drainage response value can eliminate the volume measurement error caused by the change in drainage medium density due to changes in ambient temperature. The temperature response value and pressure response value are the time series data of drainage medium temperature or drainage medium pressure collected synchronously at each response time point, respectively.

[0053] Specifically, data integrity verification is performed during the response measurement process to ensure the accuracy of time-series data. Data integrity verification includes: recording the sequence of response time nodes, and recording the first time node, the second time node, and the third time node in sequence, and setting a preset recording order in which the timestamps of the time nodes strictly monotonically increase. During the data acquisition process, the actual recording time order of the first time node, the second time node, and the third time node is compared with the preset recording order in real time. If the actual time order does not match the preset recording order, for example, if the timestamp of the recorded third time node is earlier than that of the second time node, it indicates that there may be an instantaneous error in data acquisition or recording. At this time, the third time node where the time sequence is disordered is marked as the verification starting point, and the verification interval definition process is triggered with the verification starting point as the base point.

[0054] Furthermore, the response offset value is calculated by quantitative analysis using multi-source sensor data: within a preset sliding time window, the numerical fluctuation range or standard deviation of the time series of temperature response value and pressure response value are statistically analyzed to obtain the response offset value that quantifies the temperature and pressure stability within that time period. The response offset value can reflect the degree of non-ideal change in the test environment caused by internal chemical or physical changes during the material's water absorption and expansion process, so as to accurately assess the disturbance to the measurement results caused by the material's own reaction such as hydration exothermic reaction or environmental factors such as external pressure fluctuations during the test.

[0055] Furthermore, the verification interval is determined, and the time intervals in the original data that may contain distortion are identified and marked through two independent judgment mechanisms;

[0056] The first mechanism is based on the deviation of the physical response. A preset reference offset value and an allowable range around the reference value are set. The calculated response offset value is compared with the reference offset value in real time. If the response offset value exceeds the allowable range, the continuous time interval that produces the excess value is marked as the verification interval, and the data in the corresponding continuous time interval is marked as abnormal data segment. By identifying and marking abnormal data segments caused by external factors, the influence of abnormal data segments on the measurement results is eliminated.

[0057] In practice, the preset reference offset value can be calibrated based on the normal stable range of temperature and pressure sensing data during the material's water absorption and expansion process; the temperature response reference offset value is set to 0.5℃, with an allowable offset range of ±0.3℃; the pressure response reference offset value is set to 0.2MPa, with an allowable offset range of ±0.015MPa.

[0058] Specifically, during real-time comparison, if the calculated response offset value exceeds the allowable range of the corresponding benchmark offset value, the continuous time interval that generates the excess value is marked as the verification interval, and the original temperature and pressure sensing data corresponding to the verification interval are marked as abnormal data segments. During data processing, all sampled data in the abnormal data segments are directly removed, and only the valid data outside the verification interval is retained for calculation and analysis, thereby eliminating the disturbance effect of non-ideal factors such as hydration exothermics and external pressure fluctuations on the measurement results.

[0059] The second mechanism is based on the detected time anomaly. When the verification starting point is marked, the time range that can completely cover the time before and after the anomaly time point is determined by taking the timestamp of the verification starting point as the center and according to the preset unit time ratio factor. This time range is directly defined as the verification interval.

[0060] Data within one or more verification intervals determined through the above two mechanisms will be assigned a lower calculation weight or be directly excluded to ensure the reliability of the measurement results.

[0061] Furthermore, the effective data portion measured from the original drainage response value time series, after removing all data within the verification interval, is taken as the effective drainage response value, and it is compared one by one with the predicted response of each simulated hydration expansion material in the generated theoretical dataset.

[0062] Specifically, the comparison process includes: calculating the time series curve of the effective drainage response value, and using the cumulative error or similarity score between the time series curve and the time series curve of each predicted response as the performance deviation, and matching the calculated performance deviation with multiple deviation allowable intervals; wherein, each deviation allowable interval corresponds to a different accuracy level;

[0063] If the performance deviation falls within a certain deviation allowable range, the simulated hydration expansion material whose predicted response is closest to the actual response in that range will be identified as the comparison sample, and the complete performance parameter set of the comparison sample will be recorded as the final measurement result of this test.

[0064] If the calculated performance deviation does not fall within any of the preset deviation allowable ranges, it indicates that the actual material performance is significantly different from all simulation conditions. In this case, all actual hydration expansion materials with significant performance differences are calibrated as samples to be confirmed. Samples to be confirmed require further manual analysis or verification, and corresponding evaluation prompts for samples to be confirmed are output.

[0065] Specifically, in practical use, 50 standard samples of simulated hydration expansion materials with known performance can be used to calculate their performance deviation values. Among them, the performance deviation values ​​of 45 standard samples fall within a certain deviation allowable range. Then, the 45 simulated hydration expansion materials whose predicted response is closest to the actual response in that range are determined as comparison samples. The calculated performance deviation of the remaining 5 standard samples does not fall within any preset deviation allowable range. Then, all 5 standard samples are selected, and the corresponding evaluation prompts for the samples to be confirmed are output to provide corresponding early warning prompts.

[0066] Example 2

[0067] Please refer to Figure 2 This embodiment discloses a system for evaluating the drainage characteristics of hydration expansion materials. In specific implementations, this system can be a device integrating monitoring equipment and software analysis functions, or a software program deployed on general-purpose computing devices such as servers, workstations, or industrial control computers. It communicates with external experimental devices or on-site monitoring equipment via a data interface. The system specifically includes the following modules:

[0068] The simulation modeling module pre-builds a database containing various simulated hydration expansion materials with different properties and calculates the predicted response of each simulated hydration expansion material under standard conditions. It obtains the core performance parameters of key variables of the defined material drainage characteristics of a set of actual hydration expansion materials, and then filters the performance parameters according to the preset classification criteria to determine the control parameters that need to be gradient changed.

[0069] From the core performance parameters of water absorption per unit volume, water absorption efficiency per unit time, and initial volume of hydration expansion material, select one parameter as the benchmark variable; compare the values ​​of the other two parameters with their respective preset classification benchmarks. If the deviation of the value of a parameter from the classification benchmark exceeds the stability threshold, then the parameter is determined as the control parameter, indicating that the parameter is the main factor affecting the performance difference.

[0070] The simulation modeling module generates multiple sets of simulated parameter values ​​with gradient differences based on one or more identified control parameters. Specifically, if the water absorption efficiency per unit time is determined as the control parameter, a series of increasing or decreasing efficiency values ​​are generated based on the control parameter, while other parameters remain unchanged or change accordingly according to preset rules. Then, based on the generated multiple sets of simulated parameter values, multiple simulated hydration expansion materials with performance differences are generated in the virtual environment.

[0071] For each simulated hydration expansion material, a fluid dynamics or empirical model is used to calculate its predicted response over time under the influence of the diversion medium. The predicted responses are then combined to form a theoretical dataset for comparison.

[0072] The response acquisition module continuously measures the drainage volume of the drainage medium flowing through or out of the hydration expansion material at multiple preset response time points during the evaluation process through connected monitoring equipment. After the drainage volume data is collected, it calculates the drainage response value corresponding to each response time point by combining it with the pre-input drainage medium density, and constructs a dynamic curve characterizing the actual drainage characteristics of the hydration expansion material by arranging the drainage response values ​​in time sequence.

[0073] To ensure the accuracy of the assessment, the response acquisition module simultaneously collects auxiliary parameters of the drainage environment. Through the connected monitoring equipment, the temperature and pressure of the drainage medium are collected at the same multiple response time points to generate temperature response values ​​and pressure response values ​​respectively.

[0074] The performance evaluation module verifies the stability of the evaluation environment before performing the core comparison: it receives the temperature and pressure response values ​​generated by the response acquisition module and determines the response offset value by statistically analyzing the changes in the temperature and pressure response values ​​over a continuous time interval.

[0075] Compare this response offset value with the preset allowable range. If the response offset value does not exceed the allowable range, it indicates that the current experimental environment is stable and there is no abnormal interference. The subsequent comparison steps can continue. If it exceeds the range, the evaluation may be paused and a prompt to check the environmental conditions will be displayed.

[0076] After confirming that the environment is stable, the performance evaluation module compares the time-response curve generated by the response acquisition module as the flow-generating response value with the multiple time-response curves generated by the simulation modeling module as multiple estimated responses. The comparison can use algorithms such as curve fitting and distance calculation to quantify the difference between the flow-generating response value and each estimated response.

[0077] The quantified difference is then used as a performance deviation, and the final result is determined based on the matching relationship between the performance deviation and multiple preset deviation allowable intervals. These deviation allowable intervals correspond one-to-one with each simulated hydration expansion material and are used to represent the acceptable error range around its predicted response.

[0078] The results output module clearly presents the conclusions of the performance evaluation module to the user or downstream system. If the performance evaluation module determines that a certain performance deviation falls within a certain allowable deviation range, it means that the performance of the actual hydration expansion material is highly matched with the simulated hydration expansion material corresponding to that range. The simulated hydration expansion material is then identified as the comparison sample, and its performance parameters are recorded as the final measurement result of this evaluation, and displayed or stored. Conversely, if the performance evaluation module finds that the performance deviation does not fall within any preset allowable deviation range, it indicates that the performance of the actual hydration expansion material may exceed the performance range of the simulated hydration expansion material generated by the current simulation modeling module, or there are other unmodeled characteristics. The simulated hydration expansion material corresponding to the minimum performance deviation is identified as the sample to be confirmed, and an evaluation prompt is output. This prompt includes information such as "No exact match found, the closest sample is XXX", suggesting that the user check the experimental conditions or expand the parameter range of the simulation model.

[0079] By employing a simulation-testing-comparison process, the efficiency and accuracy of the evaluation are improved. Environmental stability verification eliminates interference factors, ensuring the reliability of the results. This enables rapid performance screening and quality inspection of hydration expansion materials such as bentonite and superabsorbent resin in geological engineering, civil engineering, and oil extraction fields.

[0080] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand and implement the present invention. They should not be construed as limiting the scope of protection of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for evaluating the drainage characteristics of hydration-expanding materials, characterized in that, Includes the following steps: Monitor the drainage response value generated by the actual hydration expansion material under the action of the drainage medium; The diversion response value was compared with the predicted response of multiple simulated hydration expansion materials to determine the performance deviation; Based on the matching relationship between the performance deviation and multiple preset deviation allowable ranges, a comparison sample matching the actual hydration expansion material performance is determined; The process of generating predicted responses for multiple simulated hydration-expanding materials includes: acquiring performance parameters of the hydration-expanding materials, including the density of the diversion medium, the initial volume of the hydration-expanding materials, the water absorption per unit volume, and the water absorption efficiency per unit time; classifying the performance parameters into control parameters according to a preset classification standard; generating multiple sets of control parameters with gradient differences based on the control parameters; generating multiple simulated hydration-expanding materials with performance differences based on the multiple sets of control parameters; and calculating the predicted response for each simulated hydration-expanding material.

2. The drainage method combining hydration expansion kinetics and multi-parameter sensing according to claim 1, characterized in that, The step of classifying performance parameters into control parameters according to a preset classification standard includes: Choose one parameter as a baseline variable from the following: water absorption per unit volume, water absorption efficiency per unit time, and initial volume of the hydration expansion material; compare the values ​​of the other two parameters with the preset classification benchmark; if the value of a parameter does not meet the classification benchmark, then that parameter is determined as a control parameter.

3. The drainage method combining hydration expansion kinetics and multi-parameter sensing according to claim 1, characterized in that, The drainage response value is determined by calculating the drainage volume and density of the drainage medium at multiple time points.

4. The drainage method combining hydration expansion kinetics and multi-parameter sensing according to claim 1, characterized in that, The method further includes: Temperature and pressure of the drainage medium are collected at multiple time points to generate temperature and pressure response values; the variation of temperature and pressure response values ​​within a continuous time interval is statistically analyzed to determine the response offset value; comparison is performed only if the response offset value does not exceed the preset allowable range.

5. The drainage method combining hydration expansion kinetics and multi-parameter sensing according to claim 1, characterized in that, The step of determining the comparison sample that matches the performance of the actual hydration expansion material based on the matching relationship between the performance deviation and multiple preset deviation allowable ranges includes: If the performance deviation falls within any permissible deviation range, the simulated hydration expansion material corresponding to the performance deviation is identified as the comparison sample, and the performance parameters of the comparison sample are recorded as the measurement result; if the performance deviation does not fall within any permissible deviation range, the simulated hydration expansion material corresponding to the performance deviation is identified as the sample to be confirmed, and an evaluation prompt is output.

6. A system for evaluating the drainage characteristics of hydration-expanding materials, characterized in that, Includes the following modules: The simulation modeling module is used to generate multiple simulated hydration-expanding materials with different performance based on the control parameters of the hydration-expanding material, and to calculate the predicted response of each simulated hydration-expanding material. The response acquisition module is used to monitor the drainage process of the actual hydration expansion material under the action of the drainage medium, and to collect the drainage volume to generate drainage response values; The performance evaluation module is used to compare the drainage response value generated by the response acquisition module with the predicted response generated by the simulation modeling module to determine the performance deviation, and to determine the comparison sample that matches the actual hydration expansion material performance based on the matching relationship between the performance deviation and multiple preset deviation allowable intervals.

7. A drainage system combining hydration expansion kinetics and multi-parameter sensing according to claim 6, characterized in that, The simulation modeling module is also used for: Obtain the performance parameters of the hydration expansion material, including the density of the diversion medium, the initial volume of the hydration expansion material, the water absorption per unit volume, and the water absorption efficiency per unit time. Based on the preset classification criteria, performance parameters are classified as control parameters; Based on the control parameters, multiple sets of control parameters with gradient differences are generated to generate multiple simulated hydration expansion materials.

8. A drainage system combining hydration expansion kinetics and multi-parameter sensing according to claim 7, characterized in that, The classification of performance parameters into control parameters according to the preset classification criteria includes: Choose one parameter as a baseline variable from the following: water absorption per unit volume, water absorption efficiency per unit time, and initial volume of the hydration expansion material; compare the values ​​of the other two parameters with the preset classification benchmark; if the value of a parameter does not meet the classification benchmark, then that parameter is determined as a control parameter.

9. A drainage system combining hydration expansion kinetics and multi-parameter sensing according to claim 6, characterized in that, The response acquisition module is also used to acquire the temperature and pressure of the drainage medium to generate temperature response values ​​and pressure response values. The performance evaluation module is also used to: statistically analyze the changes in temperature and pressure response values ​​over a continuous time interval to determine the response offset value; and perform a comparison only if the response offset value does not exceed the preset allowable range.

10. A drainage system combining hydration expansion kinetics and multi-parameter sensing according to claim 6, characterized in that, The system also includes: The results output module is used to record the performance parameters of the comparison sample as the measurement result when the performance evaluation module determines the comparison sample; and to output an evaluation prompt when the performance evaluation module does not determine the comparison sample.

Images