Monitoring methods for soft soil reinforcement
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-23
- Publication Date
- 2026-08-14
AI Technical Summary
然而,在实际工程应用中,随着带电的反应物不断进入土体和固化反应的持续进行,土体内的固化产物会附着在传感器探头的表面,导致传感器测得的土体状态参数产生偏差
本发明实施例通过向传感器施加局部电场,局部电场排斥带电的反应物,抑制固化产物在传感器表面沉积,避免了监测结果失真,使传感器能够真实反映土体加固进程。进而,根据传感器获取的土体状态参数动态调节局部电场的强度,使局部电场能够适应性地匹配不同加固进程的淤堵风险。
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Figure CN122565048A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of foundation treatment technology, and in particular to a monitoring method for soft soil reinforcement. Background Technology
[0002] Electrochemical reinforcement is often used for the foundation treatment of soft soil. Its basic principle is to place reinforcement cathodes and reinforcement anodes in the soft soil to be reinforced and apply a DC electric field to drive the positively charged and negatively charged reactants in the soil to migrate in a directional manner, generating solidification products, thereby solidifying the soil particles into a whole and improving the strength of the soil.
[0003] To monitor the reinforcement effect in real time, existing technologies deploy sensors within the soil to monitor soil state parameters. However, in practical engineering applications, as charged reactants continuously enter the soil and the solidification reaction continues, solidification products adhere to the surface of the sensor probes, causing deviations in the soil state parameters measured by the sensors. Consequently, the data fed back by the sensors cannot accurately reflect the actual reinforcement process, leading to misleading construction decisions and resulting in uneven reinforcement effects or even localized reinforcement failure. Summary of the Invention
[0004] To address the aforementioned problems, the present invention aims to provide at least one monitoring method for soft soil reinforcement, which reduces reactants and solidification products attached to the sensor by applying a local electric field to the sensor, thereby avoiding distortion of soil state parameters.
[0005] This invention provides a monitoring method for soft soil reinforcement, used to monitor soil condition during electrochemical reinforcement of soft soil. The monitoring method includes: deploying sensors within the soft soil to be reinforced; applying a local electric field to the sensors, the local electric field being used to inhibit the adhesion of solidification products generated during the electrochemical reinforcement process to the sensor surface; acquiring soil condition parameters at the sensor deployment location using the sensors; and adjusting the intensity of the local electric field applied to the sensors based on the soil condition parameters acquired by the sensors.
[0006] Optionally, adjusting the intensity of the local electric field applied to the sensor includes: determining the degree of solidification at the location where the sensor is deployed based on the soil state parameters; and adjusting the intensity of the local electric field according to a preset adjustment relationship as the degree of solidification increases.
[0007] Optionally, the soil state parameters include resistivity, and the degree of solidification D. c For: D c = (R t - R0) / (R max - R0), where R t R is the current resistivity, R0 is the initial resistivity, and Rmax The target resistivity is preset.
[0008] Optionally, the intensity of the local electric field and the degree of curing have a quadratic function relationship, wherein the product of the coefficient of the quadratic term and the coefficient of the first term is negative.
[0009] Optionally, the intensity of the local electric field and the degree of curing are related by a logistic function.
[0010] Optionally, the intensity of the local electric field has an exponential relationship with the degree of curing.
[0011] Optionally, adjusting the intensity of the local electric field applied to the sensor based on the soil state parameters obtained by the sensor includes: applying a DC electric field to the sensor if the soil state parameters are lower than a preset state threshold; and applying an AC electric field to the sensor if the soil state parameters exceed the preset state threshold.
[0012] Optionally, the frequency range of the alternating electric field is 1kHz to 10kHz, and the voltage amplitude is 5V. 15V, pulse duty cycle 30% 50%, single application time is 30s 120s.
[0013] Optionally, the voltage amplitude corresponding to the alternating current electric field increases exponentially with the increase of the degree of solidification reflected by the soil state parameters, and the frequency of the alternating current electric field increases linearly with the increase of the degree of solidification reflected by the soil state parameters.
[0014] Optionally, the solidified product is generated when positively charged reactants and negatively charged reactants meet and undergo a solidification reaction in the soft soil to be reinforced. The sensor has a conductive outer wall. When the local electric field is applied, at least a portion of the conductive outer wall serves as one pole of the local electric field to repel reactants with corresponding polar charges.
[0015] Optionally, the polarity of the conductive outer wall is set according to the difference in physical properties between the negatively charged reactant and the positively charged reactant, so that the conductive outer wall is used to repel reactants with larger physical properties.
[0016] Optionally, the physical properties include one or more combinations of the following: particle size of the reactants, electromigration rate, and charge.
[0017] Optionally, there are multiple sensors, which are respectively deployed at different locations of the soft soil to be reinforced. After the sensors acquire the soil state parameters at their respective locations, and before adjusting the intensity of the local electric field applied to the sensors based on the soil state parameters acquired by the sensors, the monitoring method further includes: determining whether a portion of the soil state parameters acquired by the sensors is invalid; if the determination result is invalid, then using co-kriging interpolation to estimate the interpolation value of the invalid soil state parameters based on other valid soil state parameters; and using the estimated interpolation value as the soil state parameter acquired by the corresponding sensor.
[0018] Optionally, determining whether a portion of the soil state parameters acquired by the sensor are invalid includes: comparing the difference between the soil state parameters acquired by the sensor and the soil state parameters acquired by sensors at adjacent locations; if the difference exceeds a preset difference threshold and the difference persists for a preset time period, then the soil state parameter is determined to be invalid.
[0019] Optionally, the constraints of the co-Kriging interpolation method include at least one of the following constraints: the correlation of soil state parameters in the horizontal direction is stronger than that in the vertical direction; soil state parameters acquired by adjacent sensors along the electric field lines of the reinforcing DC electric field are given higher interpolation weights than soil state parameters acquired by adjacent sensors in the direction perpendicular to the electric field lines, wherein the reinforcing DC electric field is the electric field applied to the soft soil to be reinforced during the electrochemical reinforcement of soft soil; and the line formed by the locations of multiple adjacent sensors with abnormally high soil state parameters is used as the interpolation boundary to prevent interpolation from crossing the interpolation boundary for smoothing, wherein the abnormally high value refers to the soil state parameter being higher than a preset boundary threshold.
[0020] Compared with the prior art, the present invention has the following beneficial effects: This invention applies a local electric field to the sensor. This local electric field repels charged reactants and inhibits the deposition of solidified products on the sensor surface, thus avoiding distortion of monitoring results and enabling the sensor to accurately reflect the soil reinforcement process. Furthermore, the strength of the local electric field is dynamically adjusted based on the soil state parameters acquired by the sensor, allowing the local electric field to adaptively match the clogging risk at different reinforcement stages.
[0021] Furthermore, the relationship between the local electric field strength and the degree of solidification is defined as a quadratic, logistic, or exponential function, allowing the change in electric field strength to adapt to the reinforcement process of different electrochemical reinforcement systems. This ensures that the electric field strength is matched to the risk of clogging under different soil conditions and reactant characteristics, avoiding excessive energy consumption while ensuring adequate protection for the sensor.
[0022] Furthermore, by setting preset state thresholds, the adjustment of the local electric field is divided into a normal DC mode and an AC cleaning mode. When the soil state parameters are below the threshold, a DC electric field is used to prevent the adhesion of solidified products; when the threshold is exceeded, an AC electric field is switched to remove the already adhered solidified products. The two modes work together to ensure the long-term stable operation of the sensor. Attached Figure Description
[0023] Figure 1 This is a flowchart of a monitoring method for soft soil reinforcement according to an embodiment of the present invention. Detailed Implementation
[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.
[0025] As mentioned in the background section, during the electrochemical reinforcement of soft soil, the soil state parameters detected by sensors, commonly resistivity sensors, are crucial for judging the reinforcement progress. However, after in-depth research, the inventors of this application discovered that as the reinforcement reaction continues, the solidification products continuously generated and accumulated within the soil gradually migrate to the surface of the sensor probe, forming a dense coating layer. This coating layer introduces additional contact resistance, causing a significant deviation in the resistivity measured by the sensor, thus providing false feedback of solidification effect to construction personnel or automatic control systems. In other words, the "high resistivity" signal output by the sensor may not originate from the effective solidification of the soil itself, but merely as a result of probe blockage. This distorted feedback can seriously mislead the judgment of reinforcement progress and even lead to reinforcement failure.
[0026] To address this technical problem, conventional solutions often focus on physical cleaning or data post-processing, but neither can continuously and proactively guarantee the authenticity of sensor signals during the reinforcement process. This invention provides a monitoring method that applies a local electric field to the sensor to suppress the adhesion of solidified products to the sensor surface, thereby preventing blockage formation at its source. Furthermore, based on the real-time soil state parameters acquired by the sensor, the intensity of this local electric field is dynamically adjusted, enabling the sensor to effectively suppress blockage at different reinforcement stages and obtain monitoring data that accurately reflects the actual solidification process of the soil.
[0027] To make the above-mentioned objectives, features and beneficial effects of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0028] The monitoring method for soft soil reinforcement provided in this invention can be applied to various soft soil foundation treatment scenarios, especially in engineering fields where the uniformity of reinforcement quality and the controllability of the construction process are highly demanding. For example, in the construction of foundation pit support and water-stop curtains in deep soft soil areas along the coast, it ensures the continuity and sealing of the water-stop curtain. Another example is in the foundation reinforcement of large storage tanks or precision equipment, where the strength and uniformity of the entire reinforcement area must meet design requirements. In particular, for electrochemical reinforcement processes where the curing reaction is a cementation-curing reaction, the cemented curing reactants are gel-like substances. While this significantly improves the curing effect, it easily adheres to sensors, causing clogging problems.
[0029] like Figure 1 As shown, Figure 1 This is a flowchart of a monitoring method for soft soil reinforcement according to an embodiment of the present invention.
[0030] In this embodiment, the electrochemical reinforcement of soft soil refers to the process of placing reinforcement cathodes and reinforcement anodes in the soft soil to be reinforced, and applying a reinforcement DC electric field between the reinforcement anodes and reinforcement cathodes. The electric field force drives the directional migration and reaction of charged reactants in the soil, generating solidification products to solidify the soil particles. The solidification products can be hydrated silicate gels, calcium carbonate precipitates, or any other substances generated during the electrochemical reinforcement reaction that have a cementing or filling effect. These products may adhere to the sensor surface and affect measurement accuracy.
[0031] Specifically, the monitoring methods for soft soil reinforcement include the following steps: Step S101 involves deploying sensors within the soft soil to be reinforced. The sensors can be resistivity sensors, potential sensors, temperature sensors, or any state parameter detection element capable of reflecting the soil reinforcement process.
[0032] Preferably, the sensor can be a resistivity sensor, and the parameter measured is resistivity. The sensor can be installed in the soft soil to be reinforced by vertical insertion, horizontal burial, or array distribution along the area to be reinforced. The specific location and number can be determined according to the reinforcement range, geological conditions, and monitoring requirements.
[0033] Step S102 applies a local electric field to the sensor, which is used to suppress the adhesion of solidification products generated during the electrochemical reinforcement of soft soil to the sensor surface.
[0034] In practical implementation, there are several options for applying the local electric field. For example, at least one pair of electrodes can be placed on or near the sensor itself, and a local electric field can be formed on or around the sensor by energizing the pair of electrodes. The function of this local electric field is to generate a force sufficient to repel or hinder the migration of charged cured products to the sensor surface, thereby inhibiting the adhesion of cured products to the sensor surface.
[0035] Preferably, the conductive shell of the sensor is used as one pole of the local electric field, and another electrode is set in the soil as the other pole, and a voltage is applied between the two to form an electric field.
[0036] As a variation, a conductive layer is coated or attached to the surface of the sensor, which serves as an electrode for the local electric field.
[0037] Specifically, the local electric field can be either a direct current field or an alternating current field, and can be adjusted according to the reinforcement process or the soil environment, which will be explained in detail below.
[0038] Step S103 uses sensors to acquire soil state parameters at the locations where the sensors are deployed. Soil state parameters include, but are not limited to, resistivity, conductivity, potential, temperature, or dielectric constant. Changes in these parameters are closely related to the amount of solidified products generated in the soil, changes in the chemical properties of pore water, and the degree of soil compaction. Therefore, they can be used to characterize the reinforcement process.
[0039] Step S104: Based on the soil state parameters acquired by the sensor, adjust the intensity of the local electric field applied to the sensor.
[0040] Specifically, when soil state parameters indicate that the solidification reaction is still in its early stages and the concentration of solidification products is low, a lower local electric field strength can be used to save energy. As the solidification reaction progresses and the concentration of solidification products increases, the local electric field strength can be gradually increased to maintain an effective inhibitory effect. The adjustment operation can be completed through a control module electrically connected to the local electric field. The control module can have preset parameter-intensity correspondences, algorithm models, or rule bases. The specific relationships, algorithms, or rules will be explained in detail below.
[0041] A preferred approach is to convert soil state parameters (such as resistivity) into solidification indices.
[0042] Specifically, the degree of solidification is a dimensionless index characterizing the extent of solidification reaction already completed in the soil at the sensor location relative to the expected final degree of solidification. The degree of solidification can be indirectly determined based on soil state parameters. For example, when resistivity is used as the soil state parameter, as the solidification reaction proceeds, the pore water in the soil is gradually filled by the reaction products, and the soil particles are cemented together. The resistivity typically shows an upward trend; therefore, the change in resistivity can reflect the degree of solidification.
[0043] A higher degree of solidification indicates the presence of more solidified products in the soil at the sensor's location. This increases the risk of these solidified products migrating to and adhering to the sensor surface, causing blockages. Therefore, a stronger local electric field is needed to suppress adhesion. By introducing the degree of solidification as an intermediate indicator, the soil state parameter is transformed into a quantitative value characterizing the reaction process. The local electric field strength is adaptively increased based on the degree of solidification, enabling precise adjustment of the suppression capability. This ensures effective anti-blockage protection for the sensor at different solidification stages, thereby guaranteeing the accuracy of monitoring data throughout the entire reinforcement cycle.
[0044] In some embodiments, soil state parameters include resistivity and degree of solidification D. c For: D c = (R t - R0) / (R max - R0), where R t R is the current resistivity, R0 is the initial resistivity, and R max The initial resistivity R0 refers to the resistivity of the soil at that location measured by the sensors before electrochemical reinforcement begins or immediately after sensor deployment; it represents the baseline value in the unreinforced state. The preset target resistivity R... max This is a pre-determined resistivity value based on engineering requirements, representing the expected resistivity value when the soil has completed solidification. It can be obtained through laboratory tests or empirical data. During the electrochemical strengthening process, as solidification products are generated and the soil pore structure changes, the soil resistivity typically increases gradually from the initial value R0 to the target value R. max The resistivity can be obtained by converting the resistance value directly detected by the sensor, or it can be obtained by converting other parameters measured by the sensor into an equivalent resistance value.
[0045] In some non-limiting embodiments, the intensity of the local electric field and the degree of curing have a quadratic function relationship, wherein the product of the coefficients of the quadratic term and the coefficients of the first term is negative, and the sign of the constant term is determined according to the location of the curing reactant or the sensor, which will be described in detail below.
[0046] Specifically, the intensity U of the local electric field is related to the degree of curing D. c The quadratic function relationship between them can be expressed as: U(Dc) = aD c 2 +bD c +c. Where U(Dc) is the degree of curing of D. c The intensity of the local electric field is given by a and b, which are the coefficients of the quadratic and linear terms of the function, respectively. The product of a and b is negative to ensure that the value of the curing degree at the axis of symmetry of the function is positive.
[0047] In a typical implementation, one electrode is exposed in the local electric field, while the other electrode can be located inside the sensor. The exposed electrode repels reactants with the same charge; that is, the positive electrode exposed by the local electric field repels positively charged reactants with a positive potential, and the negative electrode exposed by the local electric field repels negatively charged reactants with a negative potential. The sign of the constant term c is the same as the polarity of the electrode used to repel charged reactants in the local electric field. That is, when the polarity of the exposed electrode is positive (used to repel positively charged reactants), c > 0; conversely, when the polarity of the exposed electrode is negative (used to repel negatively charged reactants), c < 0.
[0048] In some implementations, negatively charged reactants are more prone to adhesion or clogging during the curing reaction due to their larger particle size. For example, in a curing reaction involving metal cations and negatively charged silica sol colloidal particles, the colloidal particles are more likely to cause clogging. Therefore, this implementation uses a quadratic function with c < 0. Here, a is the coefficient of the quadratic term and takes a positive value (a > 0), b is the coefficient of the linear term and takes a negative value (b < 0), and c is the constant term. The curve of this quadratic function is an upward-opening parabola. At the degree of curing D... c Within the interval from 0 to 1, when D c When it is small, aD c 2 The contribution of the term is relatively small, and the local electric field intensity is mainly determined by the linear term bD. c Determined by the constant term c, it exhibits an approximately linear increasing trend with the degree of curing; as the degree of curing D... c As the electric field increases, the quadratic term gradually has a significant impact, while in the middle and later stages the electric field strength reaches a plateau or decreases.
[0049] Preferably, the electric field strength ranges from -0.3V to -2V, and c is taken from a value between -0.3V and -0.7V. The sensor is immersed in soft soil rich in pore water. If the absolute value of the applied negative potential is too small, the resulting electrostatic repulsion is insufficient to resist the thermal motion or electrophoretic tendency of the negatively charged reactants; if the absolute value of the negative potential is too large, although the repulsion is strong, it will cause an electrolytic reaction of water on the sensor surface, generating hydrogen bubbles, and excessively high electric field strength may cause accelerated corrosion of the metal on the sensor surface.
[0050] Specifically, for low-risk clogging scenarios, such as sandy soft soil with good permeability and low solidification product generation, or situations where low-concentration reactants are used and the migration speed is slow, a value of 0.1 for a, -0.2 for b, and -0.5 for c can be used to continuously provide a basic preventive electric field to maintain sensor cleanliness.
[0051] In one variation, for low-permeability soft soils such as silty clay and fine clay, or in reinforcement scenarios using highly adhesive silica sol as a negatively charged reactant, the solidification products begin to form a large amount of flocculated network in the mid-to-late stages, and the risk of sensor clogging steadily increases over time. A value of 0.3 for a, -0.8 for b, and -0.5 for c can be used to provide moderate repulsive force in the early and mid-stages, and then strengthen it to the point where it can push away the flocs in the mid-to-late stages.
[0052] In another variation, for reinforcement scenarios involving high content of reactive clay minerals (such as expansive soil), high concentrations of reactants, or strong cross-linking of the solidified products in the later stages, a dense gel coating often forms in the later stages of solidification, significantly increasing adhesion to the sensor surface. A value of a = 0.8, b = -1.3, and c = -0.5 can be used to maintain a low repulsive force in the early stages of solidification to avoid side reactions, while a sharp increase occurs when the degree of solidification is close, precisely matching the explosive increase in the risk of clogging in the later stages.
[0053] The parameter selection method with negative constants mentioned above also applies to sensors located near the cathode or near the injection port of negatively charged reaction-injected soft soil.
[0054] In other implementations, such as certain electrochemical systems, positively charged polymer colloids or metal ion aggregates are used as the main reactants. The positively charged reactants, which are relatively prone to clogging, are the key repulsive force in the local electric field. The relationship between electric field strength and degree of curing is a quadratic function with c > 0, where a is the coefficient of the quadratic term and takes a negative value (a < 0), b is the coefficient of the linear term and takes a positive value (b > 0), and c is a constant term.
[0055] The parameter selection method with positive constants mentioned above also applies to sensors located near the anode or near the injection port of positively charged reactants injected into soft soil.
[0056] It should be noted that the above three sets of values are for illustrative purposes only. In actual implementation, the coefficients a, b, and c in the quadratic function relationship can be set according to the soil type, the properties of the solidified slurry, or the specific structural adaptability of the sensor.
[0057] By using a quadratic function relationship to adjust the local electric field strength, the nonlinear evolution law of the adhesion risk of the cured product during the electrochemical hardening process can be accurately matched: in the early stage, only a weak repulsion potential is needed to save energy consumption; in the middle stage, as the cured product gradually forms, the electric field needs to be linearly enhanced to overcome the viscous resistance; in the later stage, after the dense cured product is formed, the coating force of the cured product on the sensor surface tends to saturate, and an excessively high electric field is no longer necessary. Thus, while ensuring the suppression effect, excessive electrical energy is avoided, achieving an optimized balance between suppression efficiency and energy consumption.
[0058] In some variations, the intensity of the local electric field and the degree of curing exhibit a logistic function relationship.
[0059] Specifically, a typical expression for the logistic function (S-shaped function) relationship is: U(D c )=U max / [1+e -k(Dc-Dm) ]+j, where U(Dc) is the degree of curing of D c The intensity of the local electric field, U max Where D is the maximum setpoint for the local electric field strength, k is the growth rate coefficient, and D is the maximum setpoint for the local electric field strength. m Let be the midpoint of the degree of cure (i.e., the degree of cure corresponding to when the local electric field strength increases from its minimum to half of its maximum value), and j be the base offset (equivalent to the minimum local electric field strength). Under this functional relationship, the curve of local electric field strength changing with degree of cure is S-shaped, divided into three characteristic stages: when D... c Much smaller than D m When D is at a low level and grows extremely slowly, corresponding to the induction period of the curing reaction, the amount of curing products generated is very small, the risk of clogging is low, and the local electric field only needs to maintain a very low reference value (approximately equal to j). c Approaching D m When, the function value follows D c The rapid increase in D corresponds to the accelerated phase of the curing reaction, during which a large amount of curing products are generated, drastically increasing the risk of sensor clogging. The local electric field strength needs to be rapidly enhanced to provide sufficient repulsive force. c Much larger than D m As the value approaches 1, the function value gradually approximates U. max +j and tends to stabilize, corresponding to the saturation period of the solidification reaction. At this time, the soil is highly dense, the adhesion tendency of the solidification products to the sensor surface reaches a stable level, and the local electric field strength remains at the highest level and no longer changes.
[0060] In some variations, the intensity of the local electric field and the degree of curing exhibit an exponential relationship.
[0061] In practical implementation, a typical expression for a predefined relationship is: U(D) c )=U0 e αDc Where U0 is the initial local electric field strength, and α is the strengthening coefficient with α>0. Under this functional relationship, the local electric field strength increases exponentially with the increase of curing degree—when the curing degree increases linearly, the electric field strength amplifies at an exponential rate.
[0062] The exponential function relationship is particularly suitable for electrochemical reinforcement scenarios with permeability thresholds or permeability critical points. The permeability threshold refers to the state of the solidified products before the curing reaction reaches a certain critical degree of solidification. Before this threshold, the solidified products exist as dispersed, isolated particles or small flocs, posing a low risk of adhesion to the sensor surface. Once the degree of solidification exceeds this critical value, the solidified products begin to interconnect, forming a continuous network spanning the soil pores, and the probability of the sensor surface being rapidly coated increases exponentially. In this scenario, linearly or S-shaped increases in local electric field strength may not be sufficient to suppress the rapidly intensifying adhesion trend. The exponential function relationship ensures that after the degree of solidification exceeds the permeability threshold, the local electric field strength releases repulsive energy in an exponentially amplified manner, thereby counteracting the strong adhesion of the densely solidified products.
[0063] In some embodiments, the electric field strength is adjusted based on a preset state threshold, where the mode refers to the form in which the electric field is applied. The preset state threshold is a pre-defined critical value for a soil state parameter, the specific value of which can be determined based on the expected degree of solidification at the sensor location, the amount of solidified products generated, and the risk of adhesion to the sensor surface. For example, when the soil state parameter is resistivity, an intermediate value between the initial resistivity and the target resistivity (such as 60% or 70% of the target resistivity) can be set as the threshold. When the soil state parameter is lower than the preset state threshold, it indicates that the solidification process at the sensor location is still in its early or middle stages, the amount of solidified products generated is small, and the risk of adhesion to the sensor surface is low. At this time, applying a DC electric field to the sensor can generate a continuous electrostatic repulsive force, inhibiting the deposition of solidified products on the sensor surface.
[0064] Furthermore, when the soil state parameters exceed the preset state threshold, it indicates that the solidification reaction has entered the later stage, with a large amount of solidification products generated and becoming dense. The sensor surface may already show significant adhesion or even encapsulation, and relying solely on the continuous repulsion of the DC electric field is insufficient to prevent further blockage. At this point, the electric field applied to the sensor is switched from a DC field to an AC field. The AC field operates on a short-time triggering basis; that is, it is applied for a period of time after the soil state parameters exceed the threshold, and then switched back to a DC field after the parameters return to normal.
[0065] Preferably, the alternating electric field is a high-frequency alternating electric field, which can generate high-frequency oscillations, causing the solidified products on the sensor surface to undergo mechanical vibration, thereby breaking the adhesion between the solidified products and the sensor surface, and thus achieving the removal and cleaning of the attached products.
[0066] Furthermore, the high-frequency AC electric field has a frequency range of 1kHz to 10kHz, a voltage amplitude of 5V to 15V, a pulse duty cycle of 30% to 50%, and a single action time of 30 seconds to 120 seconds, which balances the cleaning effect with energy consumption and side reactions, and has good engineering feasibility.
[0067] In some implementations, the voltage amplitude corresponding to the high-frequency alternating current electric field increases exponentially with the increase of the degree of solidification reflected by the soil state parameters, while the frequency of the high-frequency alternating current electric field increases linearly with the increase of the degree of solidification reflected by the soil state parameters. By adjusting the voltage amplitude of the alternating current electric field, an adaptive match between the cleaning parameters and the mechanical properties of the solidified product is achieved. The exponentially increasing voltage amplitude can cope with the strong adhesion of the dense gel in the later stage, and the linearly increasing frequency can always resonate with the natural frequency of the solidified product. Thus, trigger-based cleaning can be performed with optimal parameters throughout the entire reinforcement cycle, which avoids the waste caused by applying excessive cleaning energy at low solidification and ensures that stubborn dense coatings can be effectively removed at high solidification.
[0068] In an embodiment of the invention, the sensor has a conductive outer wall. When a local electric field is applied, at least a portion of the conductive outer wall is used as an electrode to repel reactants with corresponding polar charges.
[0069] Specifically, the sensor has a conductive outer wall, such as a metal mesh, conductive coating, or metal casing. When a local electric field is applied, at least a portion of this conductive outer wall serves as one pole of the local electric field (e.g., cathode or anode), and an auxiliary electrode is placed in the soil as the other pole. Applying a voltage between the two poles creates a local electric field around the sensor. Alternatively, an auxiliary electrode can be placed inside the sensor as the other pole, and applying a voltage between the two poles creates a local electric field within the sensor, while only one pole—the conductive outer wall—is exposed in the soil as the pole of the local electric field. The polarity of the conductive outer wall is determined according to the charge polarity of the reactant to be repelled: if a negatively charged reactant is to be repelled, the conductive outer wall is set as the cathode (applying a negative potential); if a positively charged reactant is to be repelled, the conductive outer wall is set as the anode (applying a positive potential). In this way, the conductive structure of the sensor itself directly becomes the agent of repulsion, and the solidified product is electrostatically repelled when it approaches the sensor surface, thereby inhibiting its adhesion.
[0070] Furthermore, the polarity of the conductive outer wall is set based on the difference in physical properties between negatively charged and positively charged reactants. These physical properties include one or more combinations of the following: particle size, electromigration rate, and charge amount of the reactants. Generally, reactants with larger physical properties are more likely to adsorb and deposit on the sensor surface, while reactants with smaller physical properties are relatively less likely to cause clogging. Therefore, setting the polarity of the conductive outer wall to be the same as that of the reactant with larger physical properties, thereby repelling the reactant, can more effectively suppress the main source of clogging.
[0071] In some implementations, multiple sensors are deployed at different locations in the soft soil to be reinforced, forming a monitoring network. After the sensors acquire soil state parameters at their respective locations, and before adjusting the intensity of the local electric field applied to the sensors based on these parameters, the process includes: determining whether a portion of the soil state parameters acquired by the sensors has failed; if the determination is that a portion has failed, then using co-kriging interpolation, the interpolated value of the failed soil state parameter is estimated based on other unfailed soil state parameters; this estimated interpolated value is used as the corresponding soil state parameter acquired by the sensor. The estimated interpolated value is used to replace the original failed data, avoiding misjudgments of the entire reinforcement process due to the failure of individual sensors. This ensures that the monitoring system can still obtain relatively reliable soil state parameters even when local sensors fail, thereby improving the reliability of closed-loop control.
[0072] Furthermore, the difference between the soil state parameters acquired by the sensor and the soil state parameters acquired by the sensor at the adjacent location is compared; if the difference exceeds the preset difference threshold and the difference persists for a preset time period, the soil state parameter is determined to be invalid, which can effectively eliminate misjudgments caused by measurement noise or instantaneous disturbances.
[0073] In some implementations, three optional constraints are imposed on the co-kriging interpolation method: The first constraint is based on the natural sedimentary bedding of soft soil, where soil properties change less horizontally and more vertically, thus making horizontal data more valuable for interpolation. The second constraint is based on the electric field orientation of electrochemical hardening, where solidification reactions preferentially occur along the electric field lines, thus data along these lines are more correlated and should be given higher weight. The third constraint is used to handle established high-solidification zones (such as continuous high-resistivity bands), which act as a "barrier" where soil state parameters on either side should not smoothly transition but rather retain abrupt boundaries. Therefore, the boundary line of this high-value region is used as a break line in the interpolation calculation, preventing data from crossing it. By incorporating the sedimentary characteristics of the soil, the directional driving force of electrochemical hardening, and the spatial continuity of solidification products into the interpolation algorithm, the estimated failure node data better matches the actual physical field distribution, avoiding distortions caused by simple geometric interpolation and improving the overall reliability and spatial consistency of the monitoring data.
[0074] Based on the above, the present invention adopts the scheme of the first embodiment. By applying a local electric field to the sensor, the local electric field repels charged reactants and inhibits their deposition on the sensor surface before the solidified products adhere, thus avoiding the distortion of monitoring signals caused by clogging and enabling the sensor to reflect the actual soil reinforcement process. Furthermore, the intensity of the local electric field is dynamically adjusted according to the soil state parameters acquired by the sensor in real time, so that the local electric field can adaptively match the clogging risk at different reinforcement stages.
[0075] It should be understood that, unless otherwise expressly stated, the term "or" covers all possible combinations, unless impractical. For example, if a component is stated to include A or B, then unless otherwise expressly stated or impractical, the component may include A, or B, or A and B. As a second example, if a component is stated to include A, B, or C, then unless otherwise expressly stated or impractical, the component may include A, or B, or C, or A and B, or A and C, or B and C, or A and B and C.
[0076] In the embodiments of this application, "multiple" refers to two or more.
[0077] Relational terms appearing in the embodiments of this application, such as "first," "second," etc., are used only to distinguish an entity or operation from another entity or operation, without requiring or implying any actual relationship or order between these entities or operations. Furthermore, the words "comprising," "having," and "including," and other similar forms, are intended to be equivalent in meaning and are open-ended; one or more items following any of these words do not imply an exhaustive list of such items or that they are limited to only the listed items. Exemplary embodiments have been disclosed in the drawings and specification. However, many variations and modifications can be made to these embodiments. Therefore, although specific terminology is used, it is used only in a general and descriptive sense and not for limiting purposes.
[0078] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.
Claims
1. A monitoring method for soft soil reinforcement, characterized in that, The monitoring method is used to monitor soil condition during electrochemical reinforcement of soft soil, and includes: Sensors were deployed within the soft soil to be reinforced. A local electric field is applied to the sensor, which is used to inhibit the adhesion of the solidification products generated by the electrochemical soil stabilization process to the sensor surface; The soil state parameters at the location where the sensor is deployed are obtained using the sensor. Based on the soil state parameters acquired by the sensor, the intensity of the local electric field applied to the sensor is adjusted.
2. The monitoring method for soft soil reinforcement as described in claim 1, characterized in that, The adjustment of the intensity of the local electric field applied to the sensor includes: The degree of solidification at the location where the sensor is deployed is determined based on the soil state parameters. As the degree of curing increases, the intensity of the local electric field is adjusted according to a preset adjustment relationship.
3. The monitoring method for soft soil reinforcement as described in claim 2, characterized in that, The soil state parameters include resistivity, and the degree of solidification D. c For: D c = (R t - R0) / (R max - R0), where R t R is the current resistivity, R0 is the initial resistivity, and R max The target resistivity is preset.
4. The monitoring method for soft soil reinforcement as described in claim 3, characterized in that, The intensity of the local electric field and the degree of curing have a quadratic function relationship, where the product of the coefficient of the quadratic term and the coefficient of the linear term is negative.
5. The monitoring method for soft soil reinforcement as described in claim 3, characterized in that, The intensity of the local electric field and the degree of curing are related by a logistic function.
6. The monitoring method for soft soil reinforcement as described in claim 3, characterized in that, The intensity of the local electric field has an exponential relationship with the degree of curing.
7. The monitoring method for soft soil reinforcement as described in claim 1, characterized in that, Adjusting the intensity of the local electric field applied to the sensor based on the soil state parameters acquired by the sensor includes: If the soil state parameters are lower than a preset state threshold, a DC electric field is applied to the sensor; If the soil state parameters exceed a preset state threshold, an alternating electric field is applied to the sensor.
8. The monitoring method for soft soil reinforcement as described in claim 7, characterized in that, The frequency range of the alternating electric field is 1kHz to 10kHz, and the voltage amplitude is 5V. 15V, pulse duty cycle 30% 50%, single application time is 30s 120s.
9. The monitoring method for soft soil reinforcement as described in claim 7, characterized in that, The voltage amplitude corresponding to the alternating current electric field increases exponentially with the increase of the solidification degree reflected by the soil state parameters, and the frequency of the alternating current electric field increases linearly with the increase of the solidification degree reflected by the soil state parameters.
10. The monitoring method for soft soil reinforcement as described in claim 1, characterized in that, The solidified product is generated when positively charged reactants and negatively charged reactants meet and solidify in the soft soil to be reinforced. The sensor has a conductive outer wall. When the local electric field is applied, at least a portion of the conductive outer wall serves as one pole of the local electric field to repel reactants with corresponding polar charges.
11. The monitoring method for soft soil reinforcement as described in claim 10, characterized in that, The polarity of the conductive outer wall is set according to the difference in physical properties between the negatively charged reactant and the positively charged reactant, so that the conductive outer wall is used to repel reactants with larger physical properties.
12. The monitoring method for soft soil reinforcement as described in claim 11, characterized in that, The physical properties include one or more combinations of the following: The particle size, electromigration rate, and charge of the reactants.
13. The monitoring method for soft soil reinforcement as described in claim 1, characterized in that, The sensor comprises multiple sensors, each deployed at different locations in the soft soil to be reinforced. After the sensors acquire soil state parameters at their respective locations, and before adjusting the intensity of the local electric field applied to the sensors based on these soil state parameters, the method further includes: Determine whether a portion of the soil state parameters acquired by the sensor has failed; If the judgment result is failure, then the co-kriging interpolation method is used to estimate the interpolation value of the failed soil state parameter based on other unfailed soil state parameters. The estimated interpolation is used as the soil state parameters acquired by the corresponding sensor.
14. The monitoring method for soft soil reinforcement as described in claim 13, characterized in that, The determination of whether a portion of the soil state parameters acquired by the sensor has failed includes: Compare the difference between the soil state parameters acquired by the sensor and the soil state parameters acquired by sensors at adjacent locations; If the difference exceeds a preset difference threshold and the difference persists for a preset time period, the soil state parameter is determined to be invalid.
15. The monitoring method for soft soil reinforcement as described in claim 13, characterized in that, The constraints of the co-kriging interpolation method include at least one of the following constraints: The correlation of soil state parameters in the horizontal direction is stronger than that in the vertical direction. The soil state parameters acquired by adjacent sensors along the electric field lines of the reinforced DC electric field are given a higher interpolation weight than the soil state parameters acquired by adjacent sensors in the direction perpendicular to the electric field lines. The reinforced DC electric field is the electric field applied to the soft soil to be reinforced during the electrochemical reinforcement of soft soil. The line connecting the locations of multiple adjacent sensors with abnormally high soil state parameters is used as the interpolation boundary to prevent the interpolation from crossing the interpolation boundary for smoothing. The abnormally high value refers to the soil state parameter being higher than a preset boundary threshold.