Fluidized solidified soil pipeline transportation platform, operation method and mixed uniformity quantitative evaluation method

Abstract

The application discloses a pipeline transportation platform for fluidized solidified soil, an operation method and a quantitative evaluation method for mixing uniformity, and raw material supply and pipeline transportation systems include a slurry pump, a centrifugal pump, a main conveying pipeline, a secondary conveying pipeline, a mortar mixing pool and a pump control hub; a proportioning control system is arranged at the mortar mixing pool, and the proportioning control system is used for controlling proportioning parameters of a solidifying agent powder; an online detection system is used for detecting viscosity, flow, temperature and pressure data of sludge in the main conveying pipeline in real time; and a data acquisition system is used for analyzing data fed back by the online detection system and issuing operation instructions for valves and the pump control hub, the proportioning control system of the raw material supply and pipeline transportation system. The application can effectively prevent pipeline blockage caused by solidification of fluidized solidified soil at the bottom of the pipeline, can reduce pipeline pumping energy consumption, and ensures long-distance pipeline transportation of sludge.

Description

Technical Field

[0001] This invention belongs to the field of water conservancy engineering and relates to a fluidized solidified soil pipeline transportation platform, operation method and quantitative evaluation method of mixing uniformity. Background Technology

[0002] A series of water conservancy projects, such as river flood control, comprehensive lake management, and reservoir capacity restoration, generate a large amount of waste soil or silt with high water content. Dredging and ecological dredging of river, lake and reservoir silt are important measures to maintain the healthy ecological environment of my country's rivers, lakes and reservoirs. However, this silt has high organic matter and low strength, making it difficult to apply directly to actual projects. On the other hand, piling it up nearby for drying and dehydration would occupy a lot of land resources and cause serious pollution to the surrounding environment.

[0003] Therefore, fluidized bed solidification technology is currently commonly used for treatment, and resource utilization is achieved through pipeline transportation. However, during the transportation of existing fluidized bed solidified soil, waste soil or sludge easily solidifies and deposits with the solidifying agent, leading to pipeline blockage and requiring work stoppages for cleaning, increasing construction costs and time. Simultaneously, high-viscosity fluidized bed solidified soil requires high-power pumps for smooth transportation, resulting in high energy consumption and exacerbating pipeline wear. Furthermore, the solidifying agent ratio largely relies on manual experience and cannot be dynamically adjusted based on the real-time state of waste soil or sludge within the pipeline, making it difficult to achieve synergistic optimization of anti-blocking and low-energy consumption. Therefore, there is an urgent need to develop an experimental platform capable of achieving anti-blocking, energy-saving, and intelligent control during the pipeline transportation of fluidized bed solidified soil. Summary of the Invention

[0004] Purpose of the invention: The purpose of this invention is to address the aforementioned problems and defects by providing a fluidized solidified soil pipeline transport platform, its operation method, and a quantitative evaluation method for mixing uniformity.

[0005] Technical Solution: The present invention provides a fluidized solidified soil pipeline transport platform, comprising: a raw material supply and pipeline transport system, a proportioning control system, an online detection system, and a data acquisition system; wherein, the raw material supply and pipeline transport system includes a slurry pump, a centrifugal pump, a main transport pipeline, a secondary transport pipeline, a mortar mixing tank, and a pump control center; the slurry pump is used to pump sludge to the main transport pipeline, the centrifugal pump is used to pump the solidifying agent in the mortar mixing tank to the secondary transport pipeline, the solidifying agent is transported to the main transport pipeline through the secondary transport pipeline, and the pump control center is used to control the power of the slurry pump and the centrifugal pump to adjust the transport speed of sludge and solidifying agent in the pipeline; a transparent pipe opening is provided behind the connection between the main transport pipeline and the secondary transport pipeline, the transparent pipe opening being used to observe the flow of sludge;

[0006] A proportioning control system is installed at the mortar mixing tank, which is used to control the proportioning parameters of the curing agent powder.

[0007] The online detection system includes a viscosity detector, an electromagnetic flow meter, a temperature sensor, and a pressure sensor installed in the main conveying pipeline. It is used to detect the viscosity, flow rate, temperature, and pressure data of the sludge in the main conveying pipeline in real time and transmit them to the data acquisition system via a data acquisition line.

[0008] The data acquisition system is used to deduce optimal operating parameters and control the operation of each system in real time based on the data fed back by the online detection system, the input sludge parameters, solidifying agent parameters, and pipeline geometric parameters, through a variety of built-in physical models and algorithms.

[0009] Furthermore, the data acquisition system also includes a data acquisition and transmission module, a data storage module, a data early warning module, a system display interface, and a data feedback module;

[0010] The data acquisition and transmission module is used to receive pressure, viscosity, temperature and flow data transmitted by various sensors on the pipeline, and to transmit the fluidized solidified soil data in the pipeline to the data storage module.

[0011] The data storage module is used to store the coordinate position information of the multi-stage bypass control valves and various sensors on the pipeline, and to integrate and store the real-time data transmitted by each sensor.

[0012] When the data collected by the pressure sensor and temperature sensor reaches a set threshold, the data early warning module generates an early warning signal and transmits it to the system display interface.

[0013] Upon receiving the corresponding instructions issued by the computer after analysis and processing, the data feedback module controls the opening and closing of various valves in the conveying pipeline, regulates the power of the slurry pump and centrifugal pump through the pump control center, and adjusts the proportion and dosage of various curing agents through the storage tank electrical control panel.

[0014] Furthermore, the proportioning control system includes a dry mortar storage tank, a storage tank electrical control panel, a vibration motor, a dry powder mixing disc, and a mixing discharge pipe. There are at least two dry mortar storage tanks, each storing different types of curing agent powder. A vibration motor is installed at the discharge hopper of each dry mortar storage tank. The discharge port of each dry mortar storage tank is connected to the dry powder mixing disc via a dry powder pipe. A discharge valve is installed on the dry powder pipe. The dry powder mixing disc is equipped with a mixing discharge pipe. The discharge speed of the different dry mortar storage tanks is adjusted by controlling the vibration motor and discharge valve through the storage tank electrical control panel. After the dry powder mixing disc evenly mixes the different curing agent powders with the adjusted proportions, it is transported to the mortar mixing tank through the mixing discharge pipe.

[0015] Furthermore, the inner wall of the main delivery pipe is provided with a replaceable lining.

[0016] Furthermore, a sampling section is set every 1-3 meters in the main conveying pipeline, and each sampling section has two sampling ports at the upper and lower ends in the horizontal direction.

[0017] This invention also provides an operation method for a fluidized solidified soil pipeline transport platform, which is implemented using the aforementioned fluidized solidified soil pipeline transport platform and includes the following steps:

[0018] S1. Input prototype operating parameters, including sludge moisture content, pipe diameter, and water-cement ratio of solidified slurry;

[0019] S2. Based on the rheological isomorphism-based equivalent simulation algorithm for wall shear stress, under the constraint that the fluid properties are completely consistent with the prototype but the pipe diameter is dissimilar, the algorithm uses equal wall shear stress as the similarity criterion to map the prototype pipe working condition to the sludge flow velocity in the equivalent test in the model pipe. , ,in The flow velocity of silt in the model pipe. The flow velocity of silt in the prototype pipeline. For the diameter of the model pipe, The diameter of the prototype pipe is given; and a nonlinear scaling model is established to convert the unit pressure drop of the model pipe to the unit resistance of the prototype pipe: ,in For prototype pipe resistance, Let n be the model pipe resistance, and n be the rheological index of the silt, which is used to inversely determine the resistance characteristics of the prototype pipe.

[0020] S3. Based on the multidimensional inversion algorithm for dynamic mixing efficiency within the pipe, the momentum flux ratio J is defined as follows:

[0021] ;

[0022] in , For the density and injection speed of the curing agent, , Given the density and velocity of the sludge, and using the equality of momentum-to-flux ratio as a similarity criterion, the penetration depth and diffusion trajectory of the solidifying agent jet in the model pipe are geometrically similar to the prototype. This is based on the sludge flow velocity determined in step S2 for the equivalent test. Calculate the curing agent injection rate Meanwhile, the energy dissipation rate is characterized by the variance of pressure gradient fluctuations, and a hybrid length scale scaling model is established to invert the hybrid distance of the prototype pipeline.

[0023] S4. Based on the optimal working condition boundary intelligent optimization algorithm, construct the rheological critical transport boundary. According to the prototype pipeline resistance characteristics inverted in step S2 and the input sludge moisture content, solidified slurry water-cement ratio and pipeline diameter, define the critical non-sludge flow velocity to ensure that the shear stress on the inner wall of the pipe is greater than the sludge yield stress, which serves as the lower limit boundary for anti-sludge blockage.

[0024] Construct a jet-penetrating mixing boundary, using the momentum flux ratio J as the control variable to ensure that the curing agent slurry effectively penetrates the mainstream of sludge, preventing the curing agent from flowing along the wall or impacting the pipe wall, and serving as an anti-stratification boundary, where the J value ranges from 6 to 10;

[0025] Construct an energy consumption-efficiency balance boundary and set a mixing uniformity threshold as the upper limit boundary for economic efficiency;

[0026] Within the feasible region of the constructed rheological critical transport boundary, jet penetration mixing boundary, and energy consumption-efficiency balance boundary, the optimal boundary conditions for mixing and transport in the output pipeline are solved. The optimal boundary conditions include the optimal transport flow rate, the optimal curing agent injection flow rate, and the optimized value of the mixing length.

[0027] Furthermore, the fluid constitutive parameters in step S2 include the rheological index, consistency coefficient, yield stress, and thixotropic coefficient of the sludge.

[0028] Furthermore, the equivalent simulation algorithm for equal wall shear stress in step S2 includes the following steps:

[0029] S201. Input the prototype working condition parameters and calculate the target value of the wall shear stress under the prototype working condition.

[0030] S202. Based on the constraint of equal wall shear stress, the equivalent test flow rate required for the model pipeline is solved in reverse to generate pump control commands.

[0031] S203. During the test, the actual rheological parameters of the fluid in the pipe are verified in real time, and the equivalent test flow rate is dynamically corrected.

[0032] S204. Collect the unit resistance of the model pipeline, and derive the unit resistance of the prototype pipeline based on the nonlinear correction of the rheological parameters.

[0033] Furthermore, the multi-dimensional inversion algorithm for in-pipe dynamic hybrid performance in step S3 includes the following steps:

[0034] S301. Using the momentum-flux ratio as the control variable, adjust the ratio of the solidifier injection speed in the secondary conveying pipeline to the sludge flow velocity in the main conveying pipeline (20) so that the penetration depth and diffusion trajectory of the solidifier jet in the model pipeline are similar to those of the prototype.

[0035] S302. The energy dissipation rate is characterized by the variance of the pressure gradient fluctuation. The variance of the pressure gradient fluctuation in the model is monitored by a pressure sensor (8). Calculate the variance of the prototype pressure gradient fluctuation. Then, the turbulent energy dissipation rate in the prototype pipe is obtained to determine whether sufficient turbulent energy can be generated to break up the sludge flocs.

[0036] S303. Establish a hybrid length scale scaling model to invert the hybrid distance and pressure drop cost of the prototype pipeline.

[0037] This invention also provides a method for quantitatively evaluating the mixing uniformity of fluidized solidified soil, implemented using the aforementioned fluidized solidified soil pipeline transport platform, comprising the following steps:

[0038] (1) Open the sampling port and take samples continuously for 2-3 minutes, and take samples in batches at time intervals of 20-30 seconds to obtain a total of 12 samples;

[0039] (2) The calcium ion concentration in the fluidized solidified soil was determined by EDTA titration and denoted as . ;

[0040] (3) Calculate the coefficient of variation C of calcium ion concentration at each cross section. v When C v When <0.2, the mixture is considered homogeneous; the C v The calculation formula is as follows:

[0041] ;

[0042] ;

[0043] ;

[0044] in, Let be the calcium ion concentration of the i-th sample at a certain cross section. This represents the average calcium ion concentration at this cross-section. This represents the variance of the calcium ion concentration at this cross section. C represents the standard deviation of calcium ion concentration at this cross section. v This represents the coefficient of variation of calcium ion concentration at this cross section.

[0045] Beneficial effects: (1) The components of the present invention are relatively independent, the structure is simple, and it is easy to install, disassemble, repair and replace.

[0046] (2) This invention integrates raw material supply and pipeline transportation, proportioning control, data acquisition and online detection systems. Through the pump control center, storage tank electrical control panel and computer, a closed-loop control is formed, which can complete the entire process of sludge extraction, solidifying agent proportioning, pipeline transportation and parameter adjustment without manual intervention. In particular, the proportioning control system adopts intelligent algorithms and sensors for precise metering, which can automatically adapt to sludge working conditions with different viscosities, pressures and flow states, and can solve the problems of large errors and poor adaptability of traditional manual proportioning.

[0047] (3) This invention uses physical models and deep learning algorithms to achieve accurate analysis of complex data such as sludge viscosity, flow rate, pressure, and temperature. Compared with traditional single data monitoring, this system can uncover the fluid dynamics laws behind the data, provide theoretical support for operating condition optimization, and improve the scientific nature of pipeline transportation.

[0048] (4) The slurry pump can automatically adjust its power according to the instructions of the pump control center to cope with solidified soil of different viscosities, pipeline pressures and flow states; the main control valve, three-way valve and other components work together to realize the integrated operation of pipeline opening / closing, sludge discharge and pipeline cleaning, which solves the problems of easy blockage and poor adaptability of traditional pipeline transportation. The transparent pipe opening design allows for real-time observation of the sludge flow status, which is convenient for operators to detect abnormalities in a timely manner and further improves the stability of construction. Attached Figure Description

[0049] Figure 1 This is a diagram of a disposable device for a pipeline transport platform for fluidized solidified soil.

[0050] Figure 2 This is a diagram of a circulating device for a pipeline transport platform for fluidized solidified soil.

[0051] Figure 3 This is a diagram of a device for mixing a curing material;

[0052] Figure 4 This is another arrangement for the sensors;

[0053] Figure 5 This is a schematic diagram showing the arrangement of the sampling ports;

[0054] Figure 6 The graph shows the variation of mixing uniformity and mixing degree per unit energy consumption with flow velocity.

[0055] In the diagram: 1. Slurry pump; 2. Main control valve; 3. Computer; 4. Data acquisition card; 5. Viscosity detector; 6. First electromagnetic flowmeter; 7. Temperature sensor; 8. Pressure sensor; 9. Data acquisition line; 10. Three-way valve; 11. Mixing tank; 12. Slurry pump outlet; 13. Slurry pump inlet; 14. Pump control center; 15. Transparent pipe opening; 16. Second electromagnetic flowmeter; 17. Centrifugal pump; 18. Mortar mixing tank; 19. Secondary valve; 20. Main conveying pipeline; 21. Secondary conveying pipeline; 22. Sludge conveying valve; 23. Dry mortar storage tank; 24. Storage tank electrical control panel; 25. Vibration motor; 26. Dry powder mixing disc; 27. Mixing discharge pipe; 28. Connector; 29. ​​Sampling port. Detailed Implementation

[0056] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0057] like Figures 1-2 As shown in this embodiment, a fluidized solidified soil pipeline transportation platform includes: a raw material supply and pipeline transportation system, a proportioning control system, an online detection system, and a data acquisition system.

[0058] The raw material supply and pipeline transportation system includes a slurry pump 1, a mixing tank 11, a slurry pump inlet 13, a pump control center 14, and a mortar mixing tank 18. The mixing tank 11 stores dredged sludge from rivers, lakes, and reservoirs. Its bottom has a discharge port for connecting to the slurry pump 1. The discharge port is connected to one end of the slurry pump 1 via the slurry pump inlet 13. Operating the slurry pump 1 extracts the dredged sludge from the mixing tank 11 and transports it to the main transportation pipeline 20 through the slurry pump outlet 12. The slurry pump 1 provides the driving force for the flow of dredged sludge in the pipeline. The slurry pump 1 is controlled by the pump control center 14, which automatically adjusts its power according to the instructions of the pump control center 14 to meet the flow requirements of the sludge pipeline under various actual working conditions, such as different viscosities, different pipeline pressures, and different types of solidified soil with different flow states. In one specific embodiment, a frequency converter can be used to control the power of the slurry pump 1.

[0059] The raw material supply and pipeline transportation system also includes slurry pump outlet 12, main control valve 2, secondary valve 19, transparent pipe opening 15, main transportation pipeline 20, and secondary transportation pipeline 21. The slurry pump outlet 12 is connected by a flange, which can be disassembled and replaced for easy maintenance and inspection. Different pipe liners can be replaced for different working conditions to study the influence of different pipe wall materials on the conveying characteristics. The main control valve 2 is located at the beginning of the main conveying pipeline 20 and can open and close the main conveying pipeline 20. The secondary valve 19 is located at the connection between the main conveying pipeline 20 and the secondary conveying pipeline 21 and is used to control the entry of the curing agent in the secondary conveying pipeline 21. The transparent pipe port 15 is a component of the main conveying pipeline 20. One port is located at the rear end of the main control valve 2 on the main conveying pipeline, which can be used to observe the flow of sludge. In addition, when the main control valve 2 is closed, the transparent pipe port 15 can be used to determine whether the sludge conveying has stopped. The main conveying pipeline 20 includes horizontal, vertical and curved sections to simulate different conveying conditions in actual engineering. The secondary conveying pipeline 21 is connected to the main conveying pipeline 20 and is controlled by the secondary valve 19. It can convey the curing agent slurry in the mortar mixing tank 18 into the main conveying pipeline 20.

[0060] In one implementation, such as Figure 1 As shown, the fluidized solidified soil is pumped to the main conveying pipeline 20 by the slurry pump 1, mixed with the solidifying agent injected into the secondary conveying pipeline 21, and then directly discharged to a designated location or external storage device through the sludge discharge valve 22. In this mode, the sludge does not return to the mixing tank, which is suitable for single-pass conveying tests without the need for cyclic adjustment, and can be used to test the pipeline transport characteristics under specific ratios.

[0061] In another implementation, such as Figure 2 As shown, the difference from the disposable device structure lies in the fact that the raw material supply and pipeline transportation system also includes a three-way valve 10, one of which is connected to the mixing tank 11. When the online monitoring system detects that the viscosity, flow rate, and solidification material ratio of the fluidized solidified soil do not meet the system analysis and calculation results, the data acquisition system controls the three-way valve 10 to switch paths, returning the fluidized solidified soil to the mixing tank 11 for re-mixing or adjusting the solidifying agent ratio. The soil is then discharged after the parameters return to normal. This mode is suitable for parameter optimization, ratio adjustment, or long-cycle cyclic transportation simulation tests. Furthermore, after transportation is completed, a high-pressure water gun can be connected to the discharge port for cleaning and maintenance of the pipeline interior.

[0062] Mixing control system: such as Figure 3As shown, it includes a dry mortar storage tank 23, a storage tank electrical control panel 24, a vibration motor 25, a dry powder mixing disc 26, and a mixing discharge pipe 27. There are at least two dry mortar storage tanks 23. Different types of dry mortar or curing agent powder can be stored in different tanks for a long time. The curing agent in the tank is uniformly dropped by its own weight and the vibration of the tank's electric vibration motor. The storage tank's electrical control panel 24 can be remotely and precisely controlled. Accurate measurement is achieved through symmetrically distributed weighing sensors, which can control the material ratio and monitor the weight. The vibration motor 25 is installed on the wall of the dry mortar storage tank 23. It generates regular high-frequency vibration, which makes the material in the tank subject to alternating speed and acceleration, so that it is in an unstable state and can be discharged smoothly. The discharge port of the dry mortar storage tank 23 is connected to the dry powder mixing disc 26 through a pipe. The pipe is equipped with a valve. The dry powder mixing disc 26 is equipped with high-speed rotating blades, which can uniformly mix the powder discharged from different tanks. Then, it is forced to output quantitatively through a screw propulsion shaft. The mixing discharge pipe 27 can discharge the mixed curing agent powder into the mortar mixing tank 18.

[0063] Online monitoring system: Employing segmented fixed-point monitoring, the system can monitor the viscosity, temperature, pressure, and instantaneous flow rate of the sludge in the pipeline in real time after the fluidized solidified soil passes through a designated location. Sensors include: a viscosity detector 5, an electromagnetic flowmeter, a temperature sensor 7, a pressure sensor 8, and a data acquisition line 9. In one specific embodiment, the viscosity detector 5 is installed on the main delivery pipeline 20. After the fluidized sludge passes through the viscosity detector in the pipeline, the viscosity of the sludge at that point can be monitored in real time, thereby determining the flow of the sludge and its mixing with the solidified material. The sludge viscosity information is transmitted to the computer 3 via the data acquisition line 9. The electromagnetic flowmeter includes a first electromagnetic flowmeter 6 and a second electromagnetic flowmeter 16. The first electromagnetic flowmeter 6 is evenly installed on the main delivery pipeline 20, and the second electromagnetic flowmeter 16 is installed at a secondary delivery pipeline 21. This allows for accurate measurement of the flow rate of the sludge passing through that point in a large-diameter pipeline, and calculation of the average flow rate across the pipeline cross-section. Multiple temperature sensors 7 are installed on the main delivery pipeline 20 to monitor the temperature in the pipeline in real time. The temperature data is transmitted to the computer 3 via data acquisition line 9. The main purpose is to understand that the temperature of the pipeline increases to a certain extent during slurry transport, primarily due to friction between the slurry and the pipeline wall. In-depth analysis of temperature changes allows for a better understanding of energy loss during slurry transport. Multiple pressure sensors 8 are installed on the main delivery pipeline 20 to monitor pressure changes in the pipeline in real time. The pressure data is transmitted to the computer 3 via data acquisition line 9. In another specific implementation, such as... Figure 4As shown, a connector 28 is installed at both ends of the main conveying pipeline 20. Various sensors are evenly distributed around the connector 28, and the data are transmitted to the computer 3 through the data acquisition line.

[0064] The data acquisition system includes a computer (3) and a data acquisition card (4). Computer 3 comprises a data acquisition and transmission module, a data storage module, a data processing and analysis module, a data early warning module, a system display interface, and a data feedback module. The data acquisition and transmission module receives pressure, viscosity, temperature, and flow rate data from various sensors on the pipeline and transmits the fluidized solidified soil data within the pipeline to the data storage module. The data storage module stores the coordinate positions of multiple bypass control valves and various sensors on the pipeline, integrating and storing the real-time data transmitted by each sensor. The data processing and analysis module integrates and calculates complex data such as sludge viscosity, flow rate, pipeline pressure, and temperature. The data early warning module immediately generates an early warning signal and transmits the warning information to the system display interface when the pressure sensor (8) and temperature sensor (7) reach a certain threshold. Valves and sludge pumps at specific locations on the pipeline immediately respond and close upon receiving the signal, ensuring the pipeline stops operating. The system display interface provides users with an intuitive and operable interface, enabling real-time display of pipeline data, query of control records, and equipment status monitoring. After receiving the corresponding instructions issued by the computer after analysis and processing, the data feedback module controls the opening and closing of various valves in the conveying pipeline (main control valve 2, secondary valve 19, and mud conveying valve 22), regulates the slag pumping power of the slurry pump 1 through the pump control center 14, and adjusts the proportion and dosage of various curing agents through the storage tank electrical control panel 24, ensuring that each component operates normally according to the instructions after receiving them.

[0065] This embodiment provides a method for quantitatively evaluating the mixing uniformity of fluidized solidified soil, such as... Figure 5 As shown, a sampling section is set every 1-3 meters on the main conveying pipeline 20. Each sampling section has two sampling ports 29 at both the upper and lower ends in the horizontal direction. Sampling ports 29 are opened, and continuous sampling is performed for 2 minutes, followed by sampling at 20-second intervals, resulting in a total of 12 samples. The calcium ion concentration in the fluidized solidified sludge is determined using EDTA titration, denoted as ... To evaluate the uniformity of calcium ion distribution across different cross sections, the coefficient of variation (C) of calcium ion concentration at each cross section was calculated. v When C v When <0.2, the mixture is considered homogeneous; C v The calculation formula is as follows:

[0066] ;

[0067] ;

[0068] ;

[0069] in, Let be the calcium ion concentration of the i-th sample at a certain cross section. This represents the average calcium ion concentration at this cross-section. This represents the variance of the calcium ion concentration at this cross section. C represents the standard deviation of calcium ion concentration at this cross section. v This is the coefficient of variation of calcium ion concentration at this cross section.

[0070] This embodiment provides a method for operating a pipeline transport platform for fluidized solidified soil, including the following steps:

[0071] S1. Input prototype operating parameters, including sludge moisture content, pipe diameter, and water-cement ratio of solidified slurry;

[0072] S2. Based on the rheological isomorphism-based equivalent simulation algorithm for wall shear stress, under the constraint that the fluid properties are completely consistent with the prototype but the pipe diameter is dissimilar, the algorithm uses equal wall shear stress as the similarity criterion to map the prototype pipe working condition to the sludge flow velocity in the equivalent test in the model pipe. , ,in The flow velocity of silt in the model pipe. The flow velocity of silt in the prototype pipeline. For the diameter of the model pipe, The diameter of the prototype pipe is given; and a nonlinear scaling model is established to convert the unit pressure drop of the model pipe to the unit resistance of the prototype pipe: ,in For prototype pipe resistance, Let n be the model pipe resistance, and n be the rheological index of the silt, which is used to inversely determine the resistance characteristics of the prototype pipe.

[0073] S3. Based on the multidimensional inversion algorithm for dynamic mixing efficiency within the pipe, the momentum flux ratio J is defined as follows:

[0074] ;

[0075] in , For the density and injection speed of the curing agent, , Given the density and velocity of the sludge, and using the equality of momentum-to-flux ratio as a similarity criterion, the penetration depth and diffusion trajectory of the solidifying agent jet in the model pipe are geometrically similar to the prototype. This is based on the sludge flow velocity determined in step S2 for the equivalent test. Calculate the curing agent injection rate Meanwhile, the energy dissipation rate is characterized by the variance of pressure gradient fluctuations, and a hybrid length scale scaling model is established to invert the hybrid distance of the prototype pipeline.

[0076] S4. Based on the optimal working condition boundary intelligent optimization algorithm, construct the rheological critical transport boundary. According to the prototype pipeline resistance characteristics inverted in step S2 and the input sludge moisture content, solidified slurry water-cement ratio and pipeline diameter, define the critical non-sludge flow velocity to ensure that the shear stress on the inner wall of the pipe is greater than the sludge yield stress, which serves as the lower limit boundary for anti-sludge blockage.

[0077] Construct a jet-penetrating mixing boundary, using the momentum flux ratio J as the control variable to ensure that the curing agent slurry effectively penetrates the mainstream of sludge, preventing the curing agent from flowing along the wall or impacting the pipe wall, and serving as an anti-stratification boundary, where the J value ranges from 6 to 10;

[0078] Construct an energy consumption-efficiency balance boundary and set a mixing uniformity threshold as the upper limit boundary for economic efficiency;

[0079] Within the feasible region of the constructed rheological critical transport boundary, jet penetration mixing boundary, and energy consumption-efficiency balance boundary, the optimal boundary conditions for mixing and transport in the output pipeline are solved. The optimal boundary conditions include the optimal transport flow rate, the optimal curing agent injection flow rate, and the optimized value of the mixing length.

[0080] Below, we will explain in detail the specific calculation methods. First, the key parameters identified and inverted in the operation method of the fluidized solidified soil pipeline transport platform are divided into three categories:

[0081] 1. Fluid constitutive parameters (parameters describing the properties of the silt itself). These parameters directly determine the form of the fundamental mechanical equations and are the core objects of inversion, including:

[0082] rheological index ( ): Core parameters describing the non-Newtonian fluid properties of sludge ( (For shear thinning). Because the properties of the silt change with time and disturbance, this parameter needs to be corrected in real time.

[0083] Consistency coefficient ( ): A parameter reflecting the viscosity of silt, which is greatly affected by moisture content and temperature.

[0084] Yield stress ( ): The minimum shear stress required for silt to begin flowing. This is a critical threshold for determining whether "embolism" or "deposition" has occurred.

[0085] Thixotropic coefficient ( ): A parameter describing the rate of destruction and recovery of silt structure over shear time. In the "flow-mixing" process, thixotropy significantly affects drag.

[0086] 2. Flow state parameters (parameters describing the characteristics of fluid motion within the pipe). These parameters are intermediate variables used by the model to predict the flow field structure and mixing effects, including:

[0087] Wall slip coefficient ( High-viscosity sludge often slips at the pipe wall, causing traditional no-slip boundary conditions to fail. This parameter is used to correct the boundary velocity.

[0088] Turbulent mixing length scale ( In the mixing section, the parameters used to describe the size of the turbulent vortex are directly related to the mixing uniformity and energy dissipation rate.

[0089] Momentum correction factor ( ): Due to the non-uniform velocity distribution of non-Newtonian fluids (such as flat-core flow), a correction factor needs to be introduced when calculating momentum and kinetic energy from the average velocity.

[0090] 3. Model correction coefficients (algorithm parameters used to eliminate errors). These are parameters specific to the "data-driven" part, used to compensate for the shortcomings of pure physical models, including:

[0091] Pipe diameter effect amplification factor ( ): Used to correct nonlinear errors when extrapolating large-diameter prototypes from small-diameter models.

[0092] Local drag coefficient ( ): The drag correction coefficient for complex flow fields at mixed nodes (three-way junctions).

[0093] Mixing uniformity threshold weight ( ): In multi-objective optimization algorithms, the parameter used to balance the weights of "mixed quality" and "transmission energy consumption".

[0094] Core Algorithm:

[0095] 1. An equivalent simulation algorithm for isomorphic shear stress on equal walls:

[0096] This experimental platform targets the special non-Newtonian fluid of fluidized solidified soil. To ensure the authenticity of the chemical solidification reaction, a fluid medium completely identical to the prototype must be used (i.e., the fluid constitutive parameters of the fluid medium remain unchanged). In the simulation, when the fluid medium is exactly the same (prototype sludge = model sludge) but the geometric scale is different (different pipe diameters), if Froude number similarity (gravitational similarity) is followed, the flow velocity will be too low, leading to sludge deposition; if Reynolds number similarity (viscous force similarity) is followed, the flow velocity in the small pipe diameter needs to be extremely high, causing the flow state to change from laminar to turbulent, resulting in complete distortion. To address the failure problem of traditional similarity theory when the medium is the same but the geometric scale is different, the data processing and analysis module embeds an equivalent simulation algorithm based on rheological isomorphism and isostatic wall shear stress. This algorithm is used to accurately deduce the mixing-transport characteristics of sludge and solidified material slurry in the pipeline under the constraint that the fluid properties are completely consistent with the prototype but the geometric scale is dissimilar. This algorithm abandons the full flow field similarity and instead pursues the local equivalence of the dynamics of pipe wall friction resistance. The algorithm includes the following control boundaries and implementation steps:

[0097] 1.1. Control Boundaries and Simulation Methods

[0098] To implement the above theory, the data processing and analysis module of this platform executes the following strict control logic:

[0099] (1) Control boundary setting

[0100] Set flow consistency boundaries to ensure the Reynolds number Re in the model pipe. m With the prototype pipeline Reynolds number Re p The simulation is based on the premise that the flows are in the same flow regime (both laminar or turbulent), specifically:

[0101] Rheological isomorphic boundary: The experiment must be conducted within the characteristic range of "shear thinning" or "yield pseudoplasticity" of the silt.

[0102] Flow safety region: The system automatically calculates the generalized Reynolds number Re. gen The model flow rate v must be guaranteed. m The resulting flow pattern is consistent with the prototype. For example, if the prototype is laminar flow transport, the flow rate in the model test must not exceed the critical laminar flow rate.

[0103] (2) Equivalent simulation

[0104] Abandoning the velocity similarity criterion in geometric similarity, we establish the principle of equal wall shear stress (τ) w,m =τ w,p The core dynamic similarity criterion is used; by adjusting the flow rate of slurry pump 1, the shear rate of the fluid in the model pipe at the pipe wall is made consistent with that of the prototype pipe, thereby forcing the non-Newtonian fluid to exhibit an apparent viscosity consistent with the prototype. The specific implementation steps are as follows:

[0105] Assume the rheological properties of the silt conform to the Herschel-Bulkley model:

[0106] ;

[0107] In the formula: Shear strength; Yield strength; This is the consistency coefficient; The rheological index; Shear rate; This refers to the prototype wall shear rate. The shear rate of the model wall.

[0108] Step 1: Target Locking (Prototype Side) - Set the prototype pipe diameter according to engineering requirements. and the designed conveyor speed v p The system calculates the wall shear rate of the prototype pipe. :

[0109] ;

[0110] This leads to the determination of the wall shear stress during prototype operation. .

[0111] Step 2: Equivalent Mapping (Model Side) To ensure the models achieve the same dynamic state, let... .

[0112] This means that the shear rates must be equal, i.e. = Initially, it was assumed that the fluid properties in the model pipeline were completely consistent with those in the prototype. During the test run, a dynamic correction coefficient for the equivalent test flow velocity was introduced based on the fluid rheological parameters verified in real time. Therefore, the equivalent test flow rate v required for the test platform can be derived. m :

[0113] → ;

[0114] Similarity criteria typically require v m Greater than or equal to v p The difference is that this theory derives that, under homogeneous fluid conditions, in order to simulate the equivalent resistance characteristics, the test flow rate should be linearly reduced according to the pipe diameter ratio.

[0115] Step 3: Data extrapolation and correction (output side), with slurry pump 1 executing flow rate v m Subsequently, the online monitoring system measured the friction gradient i along the model pipeline. m = Due to the scaling effect caused by the reduction in pipe diameter, i cannot be directly... m Equivalent to the prototype resistance, therefore a pipe diameter effect amplification factor is introduced. This factor, based on the fluid's rheological index and pipe diameter ratio, is used to map and restore experimentally measured friction loss data of small-diameter pipes to the pressure gradient of large-diameter prototypes. A local resistance coefficient is introduced for resistance calculation at the tee. The prototype resistance i is corrected using the following nonlinear scaling model. p : (where n is the rheological index).

[0116] 1.2. Hardware Implementation of Physical Simulation

[0117] To support the implementation of the above theoretical algorithms, the hardware system was specially adapted:

[0118] Fine-tuning capability of pump control center 14: Slurry pumps must have stable delivery capability at extremely low flow rates to meet the requirements. The requirements for low-speed operation.

[0119] Pipe wall roughness matching: The replaceable liner of the main delivery pipe 20 is not only for testing materials, but also to make the relative roughness as close as possible to the prototype at the model scale, so as to reduce additional errors caused by differences in pipe wall roughness.

[0120] 2. Intra-pipe dynamic hybrid performance multidimensional inversion algorithm:

[0121] To achieve the physical simulation and inversion of the simultaneous flow and mixing of sludge and solidified material slurry in a pipeline, relying solely on traditional geometric similarity (by minimizing the mixer) is far from sufficient. This is because mixing efficiency essentially depends on turbulent fluctuations and energy dissipation, and small-diameter pipes struggle to reproduce the high Reynolds number turbulent field of large-diameter pipes. A multi-dimensional inversion algorithm for dynamic mixing efficiency within pipes overcomes the limitations of geometric similarity, proposing a dual control theory based on momentum-flux ratio and turbulent energy dissipation rate.

[0122] 2.1. Jet Mixing Simulation Theory Based on Momentum-Fluorescence Ratio (J)

[0123] In pipe mixers, the curing agent typically enters the main delivery pipe in the form of a jet. To reproduce the mixing trajectory and penetration depth of the prototype in the model, this invention abandons full-field Reynolds number similarity and instead focuses on the jet-crossflow interaction mechanism.

[0124] The momentum flux ratio J is defined by the following formula:

[0125] ;

[0126] in , The density and velocity of the curing agent jet, , This refers to the density and velocity of the mainstream sludge flow. The relationship between the solidifying agent and the average sludge flow velocity needs to be corrected using a momentum correction factor. (This needs to be corrected.)

[0127] The system adjusts the relative power of the centrifugal pump (17) and the slurry pump (1) to make the momentum flux ratio in the model and the prototype equal, i.e. This ensures that the macroscopic distribution of the curing agent on the pipe cross-section is consistent with the prototype.

[0128] 2.2. Based on turbulent energy dissipation rate ( Micro-mixing inversion

[0129] The microscopic homogeneity of the mixture depends on the breaking up of turbulent eddies. This invention utilizes the fluctuation variance of the pressure gradient. To characterize the energy dissipation rate :

[0130] Establish the relationship between the turbulent energy dissipation rates of the model and the prototype:

[0131] ;

[0132] ~ ;

[0133] By monitoring the variance of pressure gradient fluctuations in the model Calculate the variance of the prototype pressure gradient fluctuation. Then, the turbulent energy dissipation rate in the prototype pipeline is obtained to determine whether sufficient turbulent energy can be generated to break up the sludge flocs.

[0134] 2.3. Physical Implementation Methods of Hybrid Simulation

[0135] In order to realistically simulate the "flowing and mixing" process on the experimental platform, the present invention adopts the following steps:

[0136] Step 1: Jet Parameter Matching (Macroscopic Mixing Simulation). The user inputs the design parameters of the prototype pipe mixer (jet orifice diameter, incident angle). The test platform is based on J... m = J p The criteria are used to calculate the required curing agent injection rate for the test.

[0137] At this time, the proportioning control system not only controls the dosage (mass ratio), but also actively controls the injection kinetic energy by adjusting the head of the centrifugal pump (17) through frequency conversion, so as to ensure that the curing agent can be injected into the center of the high viscosity sludge, rather than just flowing along the pipe wall.

[0138] Step Two: Rheological-Pressure Response Monitoring in the Mixing Zone (Process Monitoring). When sludge and solidifying agent mix in the pipeline, the rheological properties of the fluid undergo a sudden change. The data acquisition system performs the following high-order calculations:

[0139] Apparent viscosity evolution monitoring: The difference between the viscosity detectors before and after the mixing stage (5) reflects the initial process of the mixing reaction.

[0140] Hybrid energy consumption calculation: Pressure drop measured by pressure sensor 8 at both ends of the mixing section. The system decomposes this into frictional resistance along the flow path and additional mixing resistance. A greater additional mixing resistance generally indicates more intense turbulent mixing and a better mixing effect.

[0141] Step 3: Quantitative judgment of mixing uniformity. This invention proposes a comprehensive mixing index. ,when If the value exceeds a set threshold (e.g., 0.9), the mixer is considered to be performing satisfactorily. The calculation formula is as follows:

[0142] ;

[0143] in: Normalized standard deviation (optical uniformity) of grayscale in the transparent tube opening image; The root mean square value of the high-frequency component of the pressure fluctuation (turbulent mixing intensity). , These are the weighting coefficients.

[0144] 2.4. Prototype Inversion and Performance Prediction

[0145] After the experiment, the data processing and analysis module will output a predicted performance report of the prototype pipeline mixer:

[0146] Prototype mixing distance prediction: using the formula The system predicts the pipe length required for uniform distribution of the curing agent in the prototype pipe. If the predicted length exceeds the engineering allowable value, the system will issue a "mixer optimization suggestion," such as adding a flow deflector.

[0147] Prototype hybrid pressure drop (energy consumption) prediction: based on the Euler number (Eu) similarity principle, combined with rheological correction:

[0148] ;

[0149] in This is a viscosity correction factor used to eliminate errors caused by the difference in Reynolds number between the model and the prototype.

[0150] Mixing homogeneity confidence score: Outputs the probability of a "mixing dead zone" that may occur in the prototype pipeline under the current operating conditions. This is derived by scaling up the boundary layer theory based on the laminar sublayer thickness observed in the model experiment.

[0151] 3. Optimal working condition boundary intelligent optimization algorithm:

[0152] The optimal working condition boundary intelligent optimization algorithm can output the optimal boundary conditions for pipeline mixing and transport based on the input sludge moisture content, solidified slurry water-cement ratio and pipeline geometric parameters, including the optimal pipe diameter ratio, optimal transport flow rate and optimized mixing length value.

[0153] 3.1. Construction of optimal boundary conditions for pipeline mixing

[0154] The data processing and analysis module incorporates a multidimensional coupled boundary optimization model for fluidized solidification, which comprehensively considers the sludge moisture content w and rheological parameters ( ), water-cement ratio of curing agent ( Based on the pipe geometry parameters, the following three key boundary conditions are defined:

[0155] Boundary 1: Rheological critical transport boundary (lower limit for anti-clogging), defining the critical non-clogging velocity. For yielding pseudoplastic fluids (sludge), the wall shear stress generated by the fluid inside the pipe must be guaranteed. Greater than the yield stress of silt And it is sufficient to suspend the curing agent particles. The system calculates the lower limit based on the modified Durand-Condolios formula combined with rheological parameters:

[0156] ;

[0157] in This is the rheological correction factor (which increases as the moisture content decreases).

[0158] Boundary 2: Jet penetration of the mixing boundary (lower limit for preventing stratification). To ensure that the curing agent slurry can effectively penetrate the mainstream sludge, the flux ratio must meet the following requirements:

[0159] ;

[0160] in These are the flow rates of the curing agent and the sludge, respectively. These are the diameters of the secondary and main transport pipelines, respectively. If... Below the threshold, the hardener will adhere to the walls and flow, making it impossible to mix; if If the pressure is too high, it may directly impact the sidewall of the pipe, causing wear. This platform has determined the optimal pressure through testing. The value range is usually 6 to 10.

[0161] Boundary 3: Energy-efficiency balance boundary (economic upper limit). Higher flow velocities result in better mixing, but friction loss increases exponentially. Weighting coefficient for mixing uniformity threshold. It is stipulated that when the mixing uniformity exceeds a certain threshold, such as 90%, the weighting of the increase in mixing uniformity will be reduced to avoid trading excessive pressure drop losses for unnecessary uniformity growth. Figure 6 As shown, the optimal boundary is located at the intersection of the mixing uniformity curve and the mixing degree curve per unit energy consumption.

[0162] 3.2. Optimal transport velocity in the pipeline ( Method for determining )

[0163] The optimal flow rate is typically set at the velocity at which the fluid in the pipe just emerges from plug flow and begins to exhibit micro-turbulent pulsations due to shear thinning. At this velocity, the apparent viscosity of the sludge is at its lowest, transport energy consumption is minimized, and the solidifying agent diffuses most easily into the sludge.

[0164] Optimal flow rate A solution that satisfies the following objective function:

[0165] ;

[0166] Specifically at the physical level, the optimal flow rate It is usually located in the transition zone between laminar and turbulent flow, and the specific value is derived from the following formula:

[0167] ;

[0168] in: For high-viscosity, fluidized solidified soil, the platform tests show that the optimal mixing method, which also considers transportability, yields the best generalized Reynolds number. The range is typically between 2000 and 4000; The rheological index of silt (determined by water content); This refers to the diameter of the transport pipeline.

[0169] The data processing and analysis module has an intelligent optimization function for optimal working condition boundaries, which can output the optimal boundary conditions for pipeline mixing and transport based on the input sludge moisture content, solidified slurry water-cement ratio, and pipeline geometric parameters.

[0170] Optimal pipe diameter ratio matching: The system is based on the flow ratio of sludge to solidifying agent. Based on the principle of conservation of momentum, the optimal ratio of primary to secondary transport pipe diameters is output. The recommended range meets the requirements. This is to ensure that the velocity vectors match when the two fluids merge;

[0171] Optimal transport velocity ( Output: The system is based on the generalized Reynolds number. With Herchel The coupling relationship is used to determine the optimal transport velocity. This flow rate value is limited to the "critical depositional flow rate". "and "pipe wall wear limit flow rate" Between, and satisfying the shear rate within the mixing zone. This ensures that the shear-thinning effect of non-Newtonian fluids is fully activated;

[0172] Mixed length ( Optimization: Based on the mixing uniformity index Real-time feedback, calculation reaches The minimum required pipe length is specified, and the length-to-diameter ratio is output. "As a key constraint parameter in engineering design."

[0173] The following presents the optimal boundary value derivation results under a typical working condition:

[0174] Input conditions:

[0175] Silt moisture content: 200%;

[0176] The diameter of the silt pipe is D: 200mm (prototype).

[0177] Water-cement ratio of the curing slurry: 0.8:1;

[0178] Platform simulation results:

[0179] Optimal transport flow rate The calculated value is 1.8 m / s.

[0180] Reason: Below 1.5 m / s, the sludge flows in a plugging manner, preventing the hardener from reaching the center; above 2.2 m / s, the friction resistance increases sharply and the pipe wall wears severely. 1.8 m / s is within the optimal shear thinning zone.

[0181] Optimal curing agent injection flow rate The recommended speed is 4.5 m / s.

[0182] Reason: The momentum flux ratio at this time The jet can penetrate to 2 / 3 of the pipe radius, achieving the highest mixing efficiency.

[0183] Mixed segment length: Recommended (i.e., 6 meters).

[0184] Reason: After this length, the pressure gradient variance tends to stabilize, indicating that mixing is complete.

Claims

1. A fluidized solidified soil pipeline transport platform, characterized in that, include: Raw material supply and pipeline transportation system, proportioning control system, online monitoring system, and data acquisition system; among which, The raw material supply and pipeline transportation system includes a slurry pump (1), a centrifugal pump (17), a main transportation pipeline (20), a secondary transportation pipeline (21), a mortar mixing tank (18), and a pump control center (14). The slurry pump (1) is used to pump sludge to the main transportation pipeline (20). The centrifugal pump (17) is used to pump the curing agent in the mortar mixing tank (18) to the secondary transportation pipeline (21). The curing agent is transported to the main transportation pipeline (20) through the secondary transportation pipeline (21). The pump control center (14) is used to control the power of the slurry pump (1) and the centrifugal pump (17) to adjust the transportation speed of sludge and curing agent in the pipeline. A transparent pipe opening (15) is provided behind the connection between the main transportation pipeline (20) and the secondary transportation pipeline (21). The transparent pipe opening (15) is used to observe the flow of sludge. A proportioning control system is provided at the mortar mixing tank (18), which is used to control the proportioning parameters of the curing agent powder; The online detection system includes a viscosity detector, an electromagnetic flow meter, a temperature sensor (7), a pressure sensor (8), and a sampling port installed in the main conveying pipeline (20). It is used to detect the viscosity, flow rate, temperature, and pressure data of the sludge in the main conveying pipeline (20) in real time and transmit them to the data acquisition system through a data acquisition line. The calcium ion concentration in the fluidized solidified soil can be determined through the sampling port. The data acquisition system is used to deduce optimal operating parameters and control the operation of each system in real time based on the data fed back by the online detection system, the input sludge parameters, solidifying agent parameters, and pipeline geometric parameters, through a variety of built-in physical models and algorithms. The proportioning control system includes a dry mortar storage tank (23), a storage tank electrical control panel (24), a vibration motor (25), a dry powder mixing disc (26), and a mixing discharge pipe (27). There are at least two dry mortar storage tanks (23), and different tanks are used to store different types of curing agent powder. The discharge hopper of the dry mortar storage tank (23) is equipped with a vibration motor (25). The discharge port of the dry mortar storage tank (23) is connected to the dry powder mixing disc (26) through a dry powder pipe. The dry powder pipe is equipped with a discharge valve. The dry powder mixing disc (26) is equipped with a mixing discharge pipe (27). The discharge speed of different dry mortar storage tanks (23) is adjusted by controlling the vibration motor (25) and the discharge valve through the storage tank electrical control panel (24). After the dry powder mixing disc (26) mixes the different curing agent powders with the adjusted proportions evenly, it is transported to the mortar mixing tank (18) through the mixing discharge pipe (27). The main conveying pipeline (20) is provided with a sampling section every 1-3 meters, and each sampling section is provided with two sampling ports (29) for sampling at the upper and lower ends in the horizontal direction.

2. The fluidized solidified soil pipeline transport platform according to claim 1, characterized in that, The data acquisition system also includes a data acquisition and transmission module, a data storage module, a data early warning module, a system display interface, and a data feedback module; The data acquisition and transmission module is used to receive pressure, viscosity, temperature and flow data transmitted by various sensors on the pipeline, and to transmit the fluidized solidified soil data in the pipeline to the data storage module. The data storage module is used to store the coordinate position information of the multi-stage bypass control valves and various sensors on the pipeline, and to integrate and store the real-time data transmitted by each sensor. When the data collected by the pressure sensor (8) and temperature sensor (7) reaches a set threshold, the data early warning module generates an early warning signal and transmits it to the system display interface. After receiving the corresponding instructions issued by the computer after analysis and processing, the data feedback module controls the opening and closing of each valve in the conveying pipeline, regulates the power of the slurry pump (1) and centrifugal pump (17) through the pump control center (14), and adjusts the proportion and dosage of various curing agents through the storage tank electrical control panel (24).

3. The fluidized solidified soil pipeline transport platform according to claim 1, characterized in that, The inner wall of the main delivery pipe (20) is provided with a replaceable lining.

4. A method for operating a pipeline transport platform for fluidized solidified soil, characterized in that, The method employs the fluidized solidified soil pipeline transport platform according to any one of claims 1-3, comprising the following steps: S1. Input prototype operating parameters, including sludge moisture content, pipe diameter, and water-cement ratio of solidified slurry; S2. Based on the rheological isomorphism-based equivalent simulation algorithm for wall shear stress, under the constraint that the fluid properties are completely consistent with the prototype but the pipe diameter is dissimilar, the algorithm uses equal wall shear stress as the similarity criterion to map the prototype pipe working condition to the sludge flow velocity in the equivalent test in the model pipe. , ,in The flow velocity of silt in the model pipeline. The velocity of the sludge in the prototype pipeline. For the diameter of the model pipe, The diameter of the prototype pipe is given; and a nonlinear scaling model is established to convert the unit pressure drop of the model pipe to the unit resistance of the prototype pipe: ,in For prototype pipeline resistance, Let n be the model pipe resistance, and n be the rheological index of the silt, which is used to inversely determine the resistance characteristics of the prototype pipe. S3. Based on the multidimensional inversion algorithm for dynamic mixing efficiency within the pipe, the momentum flux ratio J is defined as follows: ； in , For the density and injection speed of the curing agent, , Given the density and velocity of the sludge, and using the equality of momentum-to-flux ratio as a similarity criterion, the penetration depth and diffusion trajectory of the solidifying agent jet in the model pipe are geometrically similar to the prototype. This is based on the sludge velocity determined in step S2 for the equivalent test. Calculate the curing agent injection rate Meanwhile, the energy dissipation rate is characterized by the variance of pressure gradient fluctuations, and a hybrid length scale scaling model is established to invert the hybrid distance of the prototype pipeline. S4. Based on the optimal working condition boundary intelligent optimization algorithm, construct the rheological critical transport boundary. According to the prototype pipeline resistance characteristics inverted in step S2 and the input sludge moisture content, solidified slurry water-cement ratio and pipeline diameter, define the critical non-sludge flow velocity to ensure that the shear stress on the inner wall of the pipe is greater than the sludge yield stress, which serves as the lower limit boundary for anti-sludge blockage. Construct a jet-penetrating mixing boundary, using the momentum flux ratio J as the control variable to ensure that the curing agent slurry effectively penetrates the mainstream of sludge, preventing the curing agent from flowing along the wall or impacting the pipe wall, and serving as an anti-stratification boundary, where the J value ranges from 6 to 10; Construct an energy consumption-efficiency balance boundary and set a mixing uniformity threshold as the upper limit boundary for economic efficiency; Within the feasible region of the constructed rheological critical transport boundary, jet penetration mixing boundary, and energy consumption-efficiency balance boundary, the optimal boundary conditions for mixing and transport in the output pipeline are solved. The optimal boundary conditions include the optimal transport flow rate, the optimal curing agent injection flow rate, and the optimized value of the mixing length.

5. The operation method of the fluidized solidified soil pipeline transport platform according to claim 4, characterized in that, The fluid constitutive parameters in step S2 include the rheological index, consistency coefficient, yield stress, and thixotropic coefficient of the sludge.

6. The operation method of the fluidized solidified soil pipeline transport platform according to claim 4, characterized in that, The equivalent simulation algorithm for isostatic shear stress in step S2 includes the following steps: S201. Input the prototype working condition parameters and calculate the target value of the wall shear stress under the prototype working condition. S202. Based on the constraint of equal wall shear stress, the equivalent test flow rate required for the model pipeline is solved in reverse to generate pump control commands. S203. During the test, the actual rheological parameters of the fluid in the pipe are verified in real time, and the equivalent test flow rate is dynamically corrected. S204. Collect the unit resistance of the model pipeline, and derive the unit resistance of the prototype pipeline based on the nonlinear correction of the rheological parameters.

7. The operation method of the fluidized solidified soil pipeline transport platform according to claim 4, characterized in that, The multidimensional inversion algorithm for dynamic hybrid performance within the tube in step S3 includes the following steps: S301. Using the momentum-to-flux ratio as the control variable, adjust the ratio of the solidifier injection speed in the secondary conveying pipe (21) to the sludge flow velocity in the main conveying pipe (20) so that the penetration depth and diffusion trajectory of the solidifier jet in the model pipe are similar to those of the prototype. S302. The energy dissipation rate is characterized by the variance of the pressure gradient fluctuation. The variance of the pressure gradient fluctuation in the model is monitored by a pressure sensor (8). Calculate the variance of the prototype pressure gradient fluctuation. Then, the turbulent energy dissipation rate in the prototype pipe is obtained to determine whether sufficient turbulent energy can be generated to break up the sludge flocs. S303. Establish a hybrid length scale scaling model to invert the hybrid distance and pressure drop cost of the prototype pipeline.

8. A method for quantitatively evaluating the mixing uniformity of fluidized solidified soil, characterized in that, The method employing the fluidized solidified soil pipeline transport platform as described in claim 1 includes the following steps: (1) Open the sampling port (29), take samples continuously for 2-3 minutes, and take samples in batches at time intervals of 20-30 seconds to obtain a total of 12 samples; (2) The calcium ion concentration in the fluidized solidified soil was determined by EDTA titration and denoted as . ; (3) Calculate the coefficient of variation C of calcium ion concentration at each cross section. v When C v When <0.2, the mixture is considered homogeneous; the C v The calculation formula is as follows: ； ； ； in, Let be the calcium ion concentration of the i-th sample at a certain cross section. This represents the average calcium ion concentration at this cross-section. This represents the variance of the calcium ion concentration at this cross section. C represents the standard deviation of calcium ion concentration at this cross section. v This represents the coefficient of variation of calcium ion concentration at this cross section.

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