Pile foundation construction slurry resourceful treatment method and device

Abstract

The invention relates to the technical field of resourceful treatment, in particular to a pile foundation construction slurry resourceful treatment method and device. Detecting whether the mud tank has defects or not based on the first information, obtaining a judgment result, and when the judgment result is that the mud tank does not have defects, transporting the mud tank to a resourceful treatment site by using a transport vehicle, and then obtaining second information; identifying the components of the pile foundation construction slurry according to the second information to obtain an identification result; the pile foundation construction slurry is separated according to the recognition result, and a separation result is obtained; according to the method, transportation safety is guaranteed by detecting the defects of the slurry tank through ultrasonic waves, slurry components are accurately recognized through multi-mode information, gravel, clay and heavy metal enrichment phases are separated out accordingly, efficient classified recycling of the slurry components is achieved, the resource utilization rate is increased, and the method is suitable for popularization and application. And limitation of unified processing is reduced.

Description

Technical Field

[0001] This invention relates to the field of resource recovery technology, and more specifically, to a method and apparatus for resource recovery of mud used in pile foundation construction. Background Technology

[0002] The mud used in pile foundation construction has a complex composition, containing solid particles such as clay, sand, and rock fragments, as well as chemical substances such as cement and admixtures. Vastly different geological conditions in different regions and varying construction techniques result in significant differences in mud composition—some are highly viscous, some have high sand content, some are strongly acidic or alkaline, and some have high heavy metal content. However, existing technologies mostly adopt a uniform approach for resource recovery and treatment. This "one-size-fits-all" method is difficult to accurately adapt to the complex and diverse characteristics of mud, often leading to low treatment efficiency, low resource utilization, and even potential secondary pollution. In the diverse composition of pile foundation construction sites, its limitations are becoming increasingly apparent, urgently requiring more targeted and adaptable treatment technologies to overcome these challenges. Summary of the Invention

[0003] The purpose of this invention is to provide a method and apparatus for the resource-based treatment of mud slurry from pile foundation construction, so as to improve the above-mentioned problems.

[0004] To achieve the above objectives, the embodiments of this application provide the following technical solutions:

[0005] On the one hand, embodiments of this application provide a method for the resource-based treatment of pile foundation construction mud, the method comprising:

[0006] Acquire first information, which includes the signal collected after the ultrasonic wave passes through the mud tank to be tested;

[0007] Based on the first information, detect whether there is a defect in the mud tank and obtain a judgment result. When the judgment result is that there is no defect in the mud tank, transport the mud tank to the resource treatment site using a transport vehicle and then obtain the second information. The second information includes the multimodal information corresponding to the pile foundation construction mud collected by the multimodal acquisition device.

[0008] The composition of the pile foundation construction mud was identified based on the second information, and the identification results were obtained;

[0009] Based on the identification results, the pile foundation construction mud is separated to obtain the separation results, which include sand, clay and heavy metal enriched phases.

[0010] Based on the separation results, the pile foundation construction mud is subjected to resource recovery treatment.

[0011] Secondly, embodiments of this application provide a device for the resource-based treatment of pile foundation construction mud, the device comprising:

[0012] The acquisition module is used to acquire first information, which includes the signal collected after the ultrasonic wave passes through the mud tank to be tested;

[0013] The first processing module is used to detect whether there is a defect in the mud tank based on the first information and obtain a judgment result. When the judgment result is that there is no defect in the mud tank, the mud tank is transported to the resource utilization treatment site by a transport vehicle and then the second information is obtained. The second information includes multimodal information corresponding to the pile foundation construction mud collected by the multimodal acquisition device.

[0014] The second processing module is used to identify the composition of the pile foundation construction mud based on the second information and obtain the identification result;

[0015] The third processing module is used to separate the pile foundation construction mud according to the identification results, and obtain the separation results, which include sand, clay and heavy metal enriched phases.

[0016] The fourth processing module is used to perform resource recovery processing on the pile foundation construction mud based on the separation results.

[0017] Thirdly, embodiments of this application provide a device for the resource-based treatment of pile foundation construction mud, the device including a memory and a processor. The memory is used to store a computer program; the processor is used to execute the computer program to implement the steps of the above-described method for the resource-based treatment of pile foundation construction mud.

[0018] Fourthly, embodiments of this application provide a readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for resource-based treatment of pile foundation construction mud.

[0019] The beneficial effects of this invention are as follows:

[0020] This invention ensures safe transportation by detecting defects in mud tanks using first-level information and then accurately identifying mud components using multimodal information. Based on this, sand, clay, and heavy metal-rich phases are separated to obtain separation results. The separation results are then used for resource recovery to achieve efficient classification and recycling of mud components, improve resource utilization, reduce the limitations of unified treatment, provide technical support for the green and precise treatment of mud, and help achieve the goals of resource recovery and environmental protection of construction waste.

[0021] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the process for resource utilization of pile foundation construction mud as described in an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of the pile foundation construction mud resource utilization device described in an embodiment of the present invention.

[0025] Figure 3 This is a schematic diagram of the pile foundation construction mud resource utilization treatment equipment described in this embodiment of the invention.

[0026] The diagram is labeled as follows: 800, pile foundation construction mud resource utilization equipment; 801, processor; 802, memory; 803, multimedia component; 804, I / O interface; 805, communication component; 901, acquisition module; 902, first processing module; 903, second processing module; 904, third processing module; 905, fourth processing module. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0028] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0029] Example 1:

[0030] This embodiment provides a method for the resource-based treatment of mud slurry generated during pile foundation construction. It can be understood that this embodiment can lay out a scenario, such as: a scenario of resource-based treatment of a large amount of mud slurry generated at the pile foundation construction site.

[0031] See Figure 1 The figure shows that the method includes steps S1, S2, S3, S4 and S5.

[0032] Step S1: Obtain first information, which includes the signal collected after the ultrasonic wave passes through the mud tank to be tested;

[0033] In this step, signal excitation points and signal receiving points are set at both ends of the mud tank to be tested. Ultrasonic waves are emitted at the signal excitation points, and the signals collected by the ultrasonic waves are received at the signal receiving points, which is the first information.

[0034] Step S2: Based on the first information, detect whether there is a defect in the mud tank and obtain a judgment result. When the judgment result is that there is no defect in the mud tank, transport the mud tank to the resource utilization treatment site using a transport vehicle, and then obtain the second information. The second information includes the multimodal information corresponding to the pile foundation construction mud collected by the multimodal acquisition device.

[0035] In this step, the multimodal acquisition device includes infrared spectroscopy, laser-induced breakdown spectroscopy, dynamic image analysis camera, and ultrasonic sensor array. Infrared spectroscopy is used to acquire 1.0–2.5 μm spectral data; laser-induced breakdown spectroscopy is used to acquire 200–800 nm atomic emission spectra; dynamic image analysis camera is used to capture images of mud particles; and ultrasonic sensor array is used to acquire 0.1–10 MHz attenuation spectra.

[0036] Step S2 further includes steps S21, S22, S23, and S24, which specifically include:

[0037] Step S21: Obtain third information, which includes the signal collected after the ultrasonic wave passes through the defect-free mud tank;

[0038] Step S22: Convert the first information into a corresponding spectrogram to obtain a first spectrogram;

[0039] In this step, the first information can be processed using the Fast Fourier Transform to convert it into the corresponding spectrogram.

[0040] Step S23: Convert the third information into a corresponding spectrogram to obtain a second spectrogram;

[0041] Step S24: Perform defect detection on the mud tank based on the first spectrum diagram and the second spectrum diagram to obtain the judgment result.

[0042] In this step, the presence of defects in the mud tank can be determined based on the amplitudes of the first and second spectrum diagrams. If the amplitude of the first spectrum diagram is less than the amplitude of the second spectrum diagram, it can be determined that the mud tank has defects and cannot meet the mud transportation task. If the amplitude of the first spectrum diagram is not less than the amplitude of the second spectrum diagram, it can be determined that the mud tank has no defects and can perform the mud transportation task.

[0043] In this embodiment, the presence of defects in the mud tank is detected by the first information, thereby preventing mud leakage during transportation and avoiding resource waste, thus achieving the goal of ensuring transportation safety.

[0044] Step S3: Identify the composition of the pile foundation construction mud based on the second information to obtain the identification result;

[0045] Step S3 further includes steps S31, S32, S33, S34, and S35, which specifically include:

[0046] Step S31: Obtain the infrared spectral information, laser-induced breakdown spectral information, sand and gravel image information, and ultrasonic information included in the second information;

[0047] Step S32: Identify the clay based on the infrared spectral information to obtain a first identification result;

[0048] Step S32 further includes steps S321, S322, S323, S324, S325, and S326, which specifically include:

[0049] Step S321: Determine the water peak position information from the infrared spectral information;

[0050] Step S321 further includes steps S3211, S3212, and S3213, which specifically include:

[0051] Step S3211: Select a first wavelength range and a second wavelength range from the infrared spectral information;

[0052] In this step, the 1.45 μm water peak corresponds to the first overtone absorption of the OH bonds in water molecules, which is one of the most significant characteristic peaks of water in the near-infrared band and is sensitive to changes in water content. The 1.94 μm water peak is generated by the combination frequency absorption of the OH bonds in water molecules (i.e., the coupling of stretching and bending vibrations), and its intensity is linearly related to the water content, making it particularly suitable for quantitative analysis of samples with high water content. Therefore, the first wavelength range should cover 1.45 μm, and the second wavelength range should cover 1.94 μm. Furthermore, in the band below 1.3 μm, metal ions (such as Fe)... 3+ Cu 2+ The scattering / absorption of clay minerals (such as montmorillonite and kaolinite) and organic matter is strong, easily masking the water peak signal. Meanwhile, in the band greater than 2.1 μm, the hydroxyl groups (-OH) and carbonates (CO3) of clay minerals (such as montmorillonite and kaolinite) are also affected. 2 The absorption peaks are significant (e.g., the 2.2 μm clay hydroxyl peak), which may overlap with water peaks. Therefore, in this application, the first wavelength range selected includes the spectral band of 1.3–1.6 μm; the second wavelength range selected includes the spectral band of 1.8–2.1 μm. Selecting the 1.3–1.6 μm and 1.8–2.1 μm bands allows for precise localization of the 1.45 μm and 1.94 μm water peaks, corresponding to the first overtone and combination frequency absorption of water, respectively, and is sensitive to water content. This avoids interference from metal ions, organic matter, and clay hydroxyl groups, improving signal specificity and adapting to the sensitivity range of near-infrared instruments, ensuring data signal-to-noise ratio and stability, thereby improving the accuracy of mud component identification.

[0053] Step S3212: Use the sliding window method to coarsely locate the water peak in the first wavelength range and the second wavelength range to obtain coarse location information;

[0054] Step S3213: Calculate the second derivative of the spectral signal using the second derivative method in the coarse positioning information to obtain the water peak position information.

[0055] In this step, the second derivative method, by calculating the second derivative of the spectral signal, can more sensitively capture the changing trend of the spectral curve, and a clear extreme point will appear at the water peak, thus accurately calibrating the position of the water peak.

[0056] In this implementation, the water peak in the infrared spectrum may not be a sharp, single peak, but rather exhibit variations in width and shape. The sliding window method can preliminarily determine the approximate location of the water peak within a specific wavelength range, but this location may contain some error. Therefore, the second derivative method is needed to further and more precisely determine the center position of the water peak, improving the accuracy of the location.

[0057] Step S322: Extract peak height based on the water peak position information to obtain water content characteristic information;

[0058] Step S323: Obtain the moisture feature matrix, which includes standard moisture feature information under different moisture contents;

[0059] Step S324: Calculate the matching degree between the moisture characteristic information and each moisture content spectrum in the moisture characteristic matrix, and determine the weighting coefficients;

[0060] In this step, the least squares method is used to fit and calculate the matching degree between the moisture feature information and each moisture content spectrum in the moisture feature matrix. The weight coefficient that minimizes the difference between the moisture feature information and the weight coefficient × moisture feature matrix is ​​selected as the optimal weight coefficient, thereby separating the specific contribution of the moisture signal.

[0061] Step S325: Compensate the infrared spectrum according to the weighting coefficients to obtain the compensated infrared spectral information;

[0062] In this step, the specific calculation process for the compensated infrared spectral information is as follows:

[0063] S1=S2-α·M

[0064] In the above formula, S1 represents the compensated infrared spectral information, S2 represents the original infrared spectral information collected in real time, α represents the optimal weighting coefficient, and M represents the moisture feature matrix.

[0065] Step S326: Identify the clay based on the compensated infrared spectral information.

[0066] In this step, the compensated infrared spectral information is sent to the convolutional neural network to output the clay content.

[0067] Step S33: Identify heavy metals based on the laser-induced breakdown spectrum information to obtain a second identification result;

[0068] In this step, a dual-pulse laser excitation combined with internal standard normalization is used to reduce the clay matrix effect and effectively improve the heavy metal identification results. Specifically, the first pulse is applied to the surface of the preheated mud, removing loose surface particles or adsorbed water through ablation, forming micro-pits (micrometer-scale) and exposing the fresh internal matrix. The second pulse is focused on the fresh sample within the pits, generating high-temperature plasma. Fe is selected as the internal standard element and added to the mud, ensuring uniform distribution. The sample with the added internal standard element and the emission spectrum signal of the internal standard element in the plasma are obtained. The emission spectral intensities of the analyte and the Fe internal standard element are measured, and the intensity of the Fe internal standard element is used to normalize the intensities of other elements. Since the content of the Fe internal standard element in the mud is known and stable, its emission spectral intensity is less affected by the clay matrix effect. By calculating the ratio of the intensity of the analyte element to the intensity of the Fe internal standard element, the influence of the clay matrix effect on the analyte signal can be eliminated or reduced, thus obtaining more accurate element content information. After being normalized by internal standards, the elemental content data can more accurately reflect the actual content of each element in the sample, effectively reducing the errors and interference caused by the clay matrix effect and improving the accuracy of heavy metal identification.

[0069] It should be noted that the laser-induced breakdown spectrum identifies the element types using a random forest classifier, and the electrochemical sensor distinguishes the ions corresponding to the redox peaks using a support vector machine, thus outputting a list of heavy metal types and ion types, achieving heavy metal identification.

[0070] Step S34: Identify the sand and gravel based on the sand and gravel image information and the ultrasonic information to obtain a third identification result;

[0071] In this step, the particle size distribution of the sand and gravel image information is statistically analyzed after segmentation by U-Net, and the particle size and distribution of the sand and gravel can be obtained by regularizing the particle size accumulation curve through ultrasonic inversion. It should be noted that the segmentation of image information using U-Net and the processing of ultrasonic information using regularization inversion are technical solutions well known to those skilled in the art, and therefore will not be described in detail here.

[0072] Step S35: Construct a component classification report based on the first identification result, the second identification result, and the third identification result to obtain the identification result.

[0073] In this step, the composition classification report includes the clay content, sand and gravel particle size distribution, and heavy metal types.

[0074] In this embodiment, multimodal information fusion is used to achieve accurate identification of mud components. Infrared spectroscopy is used to specifically identify characteristic functional groups of clay, laser-induced breakdown spectroscopy is used to quantitatively analyze heavy metal elements, and visual features of sand and gravel images and particle distribution data from ultrasound are combined to construct a multi-dimensional component classification report. This method combines qualitative analysis and quantitative detection, and can efficiently distinguish between clay, heavy metals, and sand and gravel, providing accurate basis for subsequent separation and resource recovery, and improving the comprehensiveness, accuracy, and efficiency of mud component identification.

[0075] Step S4: Based on the identification results, the pile foundation construction mud is separated to obtain the separation results, which include sand, clay and heavy metal enriched phases;

[0076] Step S4 further includes steps S41, S42, S43, and S44, which specifically include:

[0077] Step S41: Obtain the preset constraints;

[0078] In this step, the preset constraints include, but are not limited to, a hydrocyclone pressure range of 0.2-0.8 MPa; a magnetic separator force range of 0.5-1.2 T; and a flotation reagent dosage range of 0.1-0.3 L / m³. 3 The sand and gravel recovery rate is greater than or equal to 95%.

[0079] Step S42: Establish a multi-objective optimization model based on the preset constraints. The optimization model is used to output hydrocyclone pressure parameters, magnetic separator force, and flotation agent dosage.

[0080] In this step, the objective function is defined as follows:

[0081] Maximize sand and gravel recovery rate: f1 = ∑(sand and gravel separated amount / total amount of sand and gravel);

[0082] Minimize flotation reagent dosage: f2 = ∑(SDS dosage);

[0083] The SDS mentioned above indicates that sodium dodecyl sulfate is selected as the flotation agent.

[0084] Step S43: Send the recognition result to the multi-objective optimization model for solving, and obtain the solution result;

[0085] In this step, the multi-objective optimization model is solved using a multi-objective genetic algorithm. It is understood that this application selects the NSGA-II algorithm for solving the problem.

[0086] Step S44: Debug the equipment according to the solution results to obtain the separation results.

[0087] In this step, the solution obtained based on the NSGA-II algorithm includes hydrocyclone pressure parameters, magnetic separator force, and flotation reagent dosage.

[0088] Step S44 further includes steps S441, S442, S443, S444, S445, and S446, which specifically include:

[0089] Step S441: Obtain a first control command based on the solution result. The first control command is used to control the hydrocyclone to operate with the output hydrocyclone pressure parameters.

[0090] It is understandable that by adjusting the pressure of the hydrocyclone, the rotation speed and centrifugal force of the mud inside the hydrocyclone can be controlled, thereby achieving the separation of sand and gravel in the mud.

[0091] Step S442: Obtain the first separation result according to the first control command;

[0092] Step S443: After obtaining the first separation result, obtain the second control command, which is used to add flotation agent to the first separation result;

[0093] In this step, the physicochemical properties of the mineral surface are altered by adding flotation agents, allowing the target mineral to selectively adhere to air bubbles, thereby achieving separation from other minerals. Sodium dodecyl sulfate is added as a flotation agent in sand and gravel separation. It can selectively adsorb onto the surface of certain specific minerals, making them hydrophobic. When air is introduced to form air bubbles, these mineral particles will adhere to the air bubbles and float to the surface with the air bubbles, where they will be scraped off as concentrate. Meanwhile, other minerals that are not affected by the flotation agent remain in the slurry, achieving the effect of separating and enriching the target mineral.

[0094] Step S444: Obtain the second separation result according to the second control command;

[0095] Step S445: After obtaining the second separation result, obtain the third control command. The third control command is used to control the magnetic separator to work with the output magnetic separator strength.

[0096] In this step, by adjusting the magnetic separator's field strength, the iron-containing sand and gravel are attracted by the magnetic field and adsorbed onto the surface of the magnetic separator's cylinder. As the cylinder rotates, they are carried to a designated location and discharged, thus achieving separation from other non-magnetic sand and gravel.

[0097] Step S446: Obtain the separation result according to the third control command.

[0098] In this embodiment, the separation sequence is: first, separation using a hydrocyclone; then, flotation; and finally, magnetic separation. Flotation utilizes the differences in the physicochemical properties of mineral surfaces, and by adding a flotation agent, the target mineral adheres to the air bubbles to achieve separation. Performing flotation first allows for the preferential separation of heavy metal minerals whose surface properties can be effectively altered by the flotation agent and which have good adhesion to the air bubbles, without being affected by the magnetic separation process. If magnetic separation is performed first, some non-magnetic but highly floatable heavy metal minerals may be mixed with other minerals during the magnetic separation process, affecting the separation effect of these minerals in subsequent flotation. Meanwhile, magnetic separation is mainly for magnetic minerals such as those containing iron. If magnetic separation is performed first, the magnetic separation process may have a mechanical effect on the particles in the mud, such as changing the agglomeration or dispersion state of the particles. This may affect the contact and interaction between the flotation agent and the mineral particles in subsequent flotation, resulting in poor flotation effect. The separation sequence of this invention allows each step to play its full role, thereby achieving a better overall separation effect. If the sequence is changed, it may disrupt the continuity of this process, requiring the entire process parameter to be re-optimized and adjusted, increasing the complexity and uncertainty of the process.

[0099] Step S5: Based on the separation results, the pile foundation construction mud is subjected to resource recovery treatment.

[0100] In this step, the separation results include sand, clay, and heavy metal-enriched phases. The separated sand can be reused as aggregate raw materials in construction projects, replacing traditional natural sand or artificially crushed aggregates, thus achieving resource recycling. Clay requires further dehydration before it can be utilized as a resource. Direct disposal of the heavy metal-enriched phase may pollute the environment; it needs to be stabilized to convert the heavy metals into a chemically stable, low-migration form to reduce environmental risks. The resource-based treatment of the heavy metal-enriched phase includes: 1. First, screening for sulfate-reducing bacteria resistant to heavy metals and mixing them with modified bentonite to prepare a microbial-mineral composite carrier. The composite carrier is added to the slurry in a certain proportion. Utilizing the adsorption properties of modified bentonite, the sulfate-reducing bacteria are directionally enriched around the heavy metal ions. The sulfate-reducing bacteria metabolize and produce S... 21. The slurry, after undergoing microbial-mineral synergistic stabilization treatment, is mixed with aluminosilicate materials (such as steel slag and fly ash) according to the formula ratio. The mixture is then crushed into particles of appropriate size to prepare for subsequent sintering. This process further disperses the material components evenly, ensuring that heavy metal ions can better react with the aluminosilicate materials and enter the crystal lattice structure during subsequent sintering. 2. The pretreated material is fed into a sintering furnace and sintered under controlled oxygen conditions at 1200℃. Sintering is divided into an oxidation section and a reduction section. In the oxidation section, organic matter and other impurities are removed. In the reduction section, the N2-CO2 mixed atmosphere in the furnace is precisely controlled to ensure that heavy metal ions react fully with the aluminosilicate materials and enter the glassy phase lattice to form a stable crystal structure. After sintering, the material undergoes post-treatment processes such as cooling to obtain a bulk density ≤800kg / m³. 3 The lightweight, high-strength ceramsite meets all green building material standards, achieving heavy metal stabilization and resource conversion.

[0101] Step S5 further includes steps S51, S52, S53, and S54, which specifically include:

[0102] Step S51: Obtain the dielectric constant of the clay in the separation results;

[0103] In this step, the dielectric constant of the mud is obtained by a dielectric constant sensor to characterize its microwave absorption capacity.

[0104] Step S52: Calculate the optimal microwave frequency based on the dielectric constant;

[0105] In this step, the calculation process for the optimal microwave frequency is as follows:

[0106]

[0107] In the above formula, ε represents the dielectric constant, μ represents the magnetic permeability, and f represents the optimal microwave frequency. Step S53: Obtain the preset electric field parameters.

[0108] In this step, the preset electric field parameter gradient range includes 10-30V / cm. In a specific implementation, the electric field strength is 10V / cm in the low-frequency region and increases to 25V / cm in the high-frequency region.

[0109] Step S54: Dehydrate the clay in a coordinated manner according to the optimal microwave frequency and the preset electric field parameters to obtain dehydrated clay.

[0110] In this step, a coupled electric-thermal-flow model is built using multiphysics simulation software to connect the electric, thermal, and flow fields, simulating the dewatering process and predicting the slurry dewatering rate and temperature distribution. If the local temperature of the slurry exceeds 80°C, the microwave power is immediately reduced by 10% per second using PID control, similar to lowering the temperature of an air conditioner; if the current density exceeds 80mA / cm², the microwave power is also reduced. 2 This slows down the rate of increase in electric field strength. Ultimately, the dehydration parameters were optimized. In one specific implementation, the electric field strength changed from 12V / cm to 22V / cm, and the microwave power in the low-frequency region was 1.8kW / m. 3 4.2kW / m in the high-frequency range 3 Compared to conventional mud dewatering methods, which are energy-intensive and inefficient, this invention employs a gradient electric field-microwave synergistic dewatering technology with significant advantages. It sets initial parameters through precise analysis of mud characteristics, monitors and dynamically adjusts the electric and microwave parameters in real time during dewatering, and uses a multi-physics coupling model to accurately predict the dewatering process, greatly improving the efficiency and economy of mud dewatering.

[0111] This invention first identifies the composition of the pile foundation construction mud, then separates the mud based on the identification results, and performs targeted resource recovery treatment on the separated mud components. For example, the clay is dehydrated using gradient electric field-microwave synergistic dehydration technology, and the heavy metal-enriched phase is stabilized by microorganism-mineral synergistic stabilization and high-temperature sintering to prepare lightweight, high-strength ceramsite that meets green building material standards. This achieves resource recycling, reduces the limitations of unified treatment, lowers environmental risks, and helps achieve the goals of resource recovery and environmental protection of construction waste. It is suitable for pile foundation construction sites with varying compositions.

[0112] Example 2:

[0113] like Figure 2 As shown, this embodiment provides a device for the resource utilization and treatment of pile foundation construction mud. The device includes an acquisition module 901, a first processing module 902, a second processing module 903, a third processing module 904, and a fourth processing module 905, specifically including:

[0114] The acquisition module 901 is used to acquire first information, the first information including the signal collected after the ultrasonic wave passes through the mud tank to be tested;

[0115] The first processing module 902 is used to detect whether there is a defect in the mud tank based on the first information and obtain a judgment result. When the judgment result is that there is no defect in the mud tank, the mud tank is transported to the resource utilization treatment site by a transport vehicle and then the second information is obtained. The second information includes the multimodal information corresponding to the pile foundation construction mud collected by the multimodal acquisition device.

[0116] The second processing module 903 is used to identify the composition of the pile foundation construction mud based on the second information and obtain the identification result;

[0117] The third processing module 904 is used to separate the pile foundation construction mud according to the identification result and obtain the separation result, which includes sand, clay and heavy metal enriched phases.

[0118] The fourth processing module 905 is used to perform resource recovery treatment on the pile foundation construction mud based on the separation results.

[0119] In one specific embodiment of this disclosure, the first processing module further includes a first acquisition unit, a first processing unit, a second processing unit, and a third processing unit, specifically including:

[0120] The first acquisition unit is used to acquire third information, which includes the signal collected after the ultrasonic wave passes through the defect-free mud tank.

[0121] The first processing unit is configured to convert the first information into a corresponding spectrum diagram to obtain the first spectrum diagram.

[0122] The second processing unit is used to convert the third information into a corresponding spectrum diagram to obtain a second spectrum diagram.

[0123] The third processing unit is used to perform defect detection on the mud tank based on the first spectrum diagram and the second spectrum diagram, and obtain a judgment result.

[0124] In one specific embodiment of this disclosure, the second processing module further includes a second acquisition unit, a fourth processing unit, a fifth processing unit, a sixth processing unit, and a seventh processing unit, specifically including:

[0125] The second acquisition unit is used to acquire the infrared spectral information, laser-induced breakdown spectral information, sand and gravel image information, and ultrasonic information included in the second information.

[0126] The fourth processing unit is used to identify the clay based on the infrared spectral information to obtain a first identification result;

[0127] The fifth processing unit is used to identify heavy metals based on the laser-induced breakdown spectrum information to obtain a second identification result;

[0128] The sixth processing unit is used to identify the sand and gravel based on the sand and gravel image information and the ultrasonic information, and obtain a third identification result;

[0129] The seventh processing unit is used to construct a component classification report based on the first identification result, the second identification result, and the third identification result to obtain the identification result.

[0130] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.

[0131] Example 3:

[0132] Corresponding to the above method embodiments, this embodiment also provides a pile foundation construction mud resource utilization treatment device. The pile foundation construction mud resource utilization treatment device described below and the pile foundation construction mud resource utilization treatment method described above can be referred to in correspondence.

[0133] Figure 3 This is a block diagram illustrating a pile foundation construction mud resource utilization treatment device 800 according to an exemplary embodiment. Figure 3 As shown, the pile foundation construction mud resource utilization treatment device 800 may include: a processor 801 and a memory 802. The pile foundation construction mud resource utilization treatment device 800 may also include one or more of the following: a multimedia component 803, an I / O interface 804, and a communication component 805.

[0134] The processor 801 controls the overall operation of the pile foundation construction mud resource recovery treatment equipment 800 to complete all or part of the steps in the aforementioned pile foundation construction mud resource recovery treatment method. The memory 802 stores various types of data to support the operation of the pile foundation construction mud resource recovery treatment equipment 800. This data may include, for example, instructions for any application or method operating on the pile foundation construction mud resource recovery treatment equipment 800, as well as application-related data such as contact data, sent and received messages, images, audio, video, etc. The memory 802 can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 805 is used for wired or wireless communication between the pile foundation construction mud resource utilization equipment 800 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, and an NFC module.

[0135] In an exemplary embodiment, the pile foundation construction mud resource utilization treatment device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described pile foundation construction mud resource utilization treatment method.

[0136] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described pile foundation construction mud resource utilization method. For example, the computer-readable storage medium may be the memory 802 including the program instructions, which may be executed by the processor 801 of the pile foundation construction mud resource utilization device 800 to complete the above-described pile foundation construction mud resource utilization method.

[0137] Example 4:

[0138] Corresponding to the above method embodiments, this embodiment also provides a readable storage medium. The readable storage medium described below can be referred to in conjunction with the pile foundation construction mud resource utilization method described above.

[0139] A readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the pile foundation construction mud resource utilization method described in the above method embodiments.

[0140] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.

[0141] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0142] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A pile foundation construction slurry resource treatment method, characterized in that, The method comprises the following steps: acquiring first information, the first information comprising signals collected after ultrasonic waves pass through a mud tank to be detected; detecting whether the mud tank has defects based on the first information to obtain a judgment result, and when the judgment result indicates that the mud tank has no defects, acquiring second information after the mud tank is transported to a resource processing site by a transport vehicle, the second information comprising multi-modal information of pile construction mud collected by a multi-modal acquisition device; identifying the composition of the pile construction mud based on the second information to obtain an identification result; separating the pile construction mud based on the identification result to obtain a separation result, the separation result comprising sand, clay, and a heavy metal enrichment phase; resource processing the pile construction mud based on the separation result.

2. The pile foundation construction slurry resource treatment method according to claim 1, characterized in that, detecting whether the mud tank has defects based on the first information to obtain a judgment result, comprising: acquiring third information, the third information comprising signals collected after ultrasonic waves pass through a mud tank without defects; converting the first information into a corresponding frequency spectrum graph to obtain a first frequency spectrum graph; converting the third information into a corresponding frequency spectrum graph to obtain a second frequency spectrum graph; detecting defects in the mud tank based on the first frequency spectrum graph and the second frequency spectrum graph to obtain a judgment result.

3. The pile foundation construction slurry resource treatment method according to claim 1, characterized in that, identifying the composition of the mud based on the second information, comprising: acquiring infrared spectrum information, laser-induced breakdown spectrum information, sand image information, and ultrasonic information included in the second information; identifying clay based on the infrared spectrum information to obtain a first identification result; identifying heavy metals based on the laser-induced breakdown spectrum information to obtain a second identification result; identifying sand based on the sand image information and the ultrasonic information to obtain a third identification result; constructing a composition classification report based on the first identification result, the second identification result, and the third identification result to obtain an identification result.

4. The pile foundation construction slurry resource treatment method according to claim 3, characterized in that, identifying clay based on the infrared spectrum information to obtain a first identification result, comprising: determining water peak position information in the infrared spectrum information; extracting peak height based on the water peak position information to obtain water feature information; acquiring a water feature matrix, the water feature matrix comprising standard water feature information at different water contents; calculating the matching degree of the water feature information and each water content spectrum in the water feature matrix to determine a weight coefficient; compensating the infrared spectrum based on the weight coefficient to obtain compensated infrared spectrum information; identifying clay based on the compensated infrared spectrum information.

5. The pile foundation construction slurry resource treatment method according to claim 4, characterized in that, determining water peak position information in the infrared spectrum information, comprising: selecting a first wavelength range and a second wavelength range in the infrared spectrum information; coarsely positioning the water peak in the first wavelength range and the second wavelength range using a sliding window method to obtain coarse positioning information; calculating the second derivative of the spectrum signal in the coarse positioning information using a second derivative method to obtain water peak position information.

6. The pile foundation construction slurry resource treatment method according to claim 1, characterized in that, separating the pile construction mud based on the identification result to obtain a separation result, comprising: acquiring a preset constraint condition; A multi-objective optimization model is established based on the preset constraint condition, and the optimization model is used to output a cyclone pressure parameter, a magnetic field intensity of a magnetic separator, and a dosage of a flotation agent; The identification result is sent to the multi-objective optimization model for solving to obtain a solving result; The equipment is debugged according to the solving result to obtain a separation result.

7. The pile foundation construction slurry resource treatment method according to claim 6, characterized in that, The equipment is debugged according to the solving result to obtain a separation result, including: A first control instruction is obtained according to the solving result, and the first control instruction is used to control the cyclone to work at the output cyclone pressure parameter; A first separation result is obtained according to the first control instruction; After the first separation result is obtained, a second control instruction is obtained, and the second control instruction is used to add the flotation agent in the first separation result; A second separation result is obtained according to the second control instruction; After the second separation result is obtained, a third control instruction is obtained, and the third control instruction is used to control the magnetic separator to work at the output magnetic field intensity of the magnetic separator; A separation result is obtained according to the third control instruction.

8. A pile foundation construction mud resourceful treatment device, characterized in that, including: An acquisition module is configured to acquire first information, the first information including signals collected after ultrasonic waves pass through a mud tank to be detected; A first processing module is configured to detect whether the mud tank has a defect based on the first information to obtain a judgment result, and when the judgment result indicates that the mud tank has no defect, acquire second information after the mud tank is transported to a resource processing site by a transport vehicle, the second information including multi-modal information of pile foundation construction mud collected by a multi-modal acquisition device; A second processing module is configured to identify components of the pile foundation construction mud based on the second information to obtain an identification result; A third processing module is configured to separate the pile foundation construction mud based on the identification result to obtain a separation result, the separation result including sand, clay, and a heavy metal enrichment phase; A fourth processing module is configured to perform resource processing on the pile foundation construction mud based on the separation result. 9.The pile foundation construction slurry resource treatment device according to claim 8, characterized in that, The first processing module includes: A first acquisition unit is configured to acquire third information, the third information including signals collected after ultrasonic waves pass through a mud tank without a defect; A first processing unit is configured to convert the first information into a corresponding frequency spectrum to obtain a first frequency spectrum; A second processing unit is configured to convert the third information into a corresponding frequency spectrum to obtain a second frequency spectrum; A third processing unit is configured to detect a defect of the mud tank based on the first frequency spectrum and the second frequency spectrum to obtain a judgment result. 10.The pile foundation construction slurry resource treatment device according to claim 8, characterized in that, The second processing module includes: A second acquisition unit is configured to acquire infrared spectrum information, laser-induced breakdown spectrum information, sand image information, and ultrasonic information included in the second information; A fourth processing unit is configured to identify clay based on the infrared spectrum information to obtain a first identification result; A fifth processing unit is configured to identify heavy metals based on the laser-induced breakdown spectrum information to obtain a second identification result; A sixth processing unit is configured to identify sand based on the sand image information and the ultrasonic information to obtain a third identification result; A seventh processing unit is configured to construct a component classification report according to the first identification result, the second identification result and the third identification result, and obtain an identification result.

Images