Freezing pipe arrangement method and device based on coupling effects of seepage and salinity

Abstract

The present invention provides a method and device for arranging frozen pipes based on the coupling effect of seepage and salt, which can be applied to the field of underground engineering construction and freezing construction technology. The method includes: obtaining soil data, pipe data and engineering data corresponding to the project; inputting the soil data, pipe data and engineering data into a target analysis model, and outputting an arrangement scheme corresponding to the frozen pipes; wherein the target analysis model is obtained by training the following operations: determining initial pipe parameters using sample data; constructing an initial analysis model based on initial condition data, radial movement parameters, position parameters and distribution parameters, the initial condition data including sample pipe data and sample soil data; and training the initial analysis model using sample data and labels corresponding to the sample data to obtain a target analysis model. The method can shorten the construction period of the project and improve the construction safety, economy and efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of underground engineering and freezing construction, and in particular to a freezing pipe arrangement method and device based on the coupling influence of seepage and salinity. Background Art

[0002] In the process of underground engineering construction, artificial freezing method has been widely used because of its environmental protection, reversibility and strong applicability. However, seepage and salinity are important factors affecting the stability and safety of the thickness of the frozen curtain during the freezing method construction process, especially in coastal areas. With the increase in the number of subway tunnels built in riverside and coastal areas, the problems faced by the freezing method are becoming increasingly prominent. Related technologies mainly rely on manual observation and regular testing, or use temperature sensors and data processors to display the dynamic changes of soil freezing temperature in real time.

[0003] The inventors discovered that in the related art, the arrangement of freezing pipes in underground projects has the following defects: for underground projects under the dual influence of seepage and salinity, the traditional freezing pipe arrangement method has limitations and cannot achieve the freezing curtain thickness required for the project within the specified time; there is a lack of reasonable and effective freezing pipe optimization arrangement method, which cannot effectively resist the influence of seepage and salinity on freezing construction. Summary of the invention

[0004] In view of the above problems, the present invention provides a freezing pipe arrangement method, device, equipment, storage medium and program product based on the coupling effect of seepage and salinity.

[0005] According to a first aspect of the present invention, a method for arranging frozen pipes based on the coupling effects of seepage and salt is provided, comprising: obtaining soil data, pipe data and engineering data corresponding to a project, wherein the soil data comprises seepage data and salt data; inputting the soil data, pipe data and engineering data into a target analysis model, and outputting an arrangement scheme corresponding to the frozen pipes, wherein the arrangement scheme represents the arrangement results of the frozen pipes in the project, including position results and angle results, and the frozen pipes are used to generate frozen soil within a preset range in the project; wherein the target analysis model is obtained by training through the following operations: determining initial pipe parameters using sample data, wherein the initial pipe parameters comprise radial movement parameters, position parameters and distribution parameters; constructing an initial analysis model based on initial condition data, the radial movement parameters, the position parameters and the distribution parameters, wherein the initial condition data comprises sample pipe data and sample soil data; and training the initial analysis model using the sample data and labels corresponding to the sample data to obtain a target analysis model.

[0006] The second aspect of the present invention provides a freezing pipe arrangement device based on the coupling effect of seepage and salt, including: a data acquisition module, used to acquire soil data, pipe data and engineering data corresponding to the project, the soil data including seepage data and salt data; a scheme output module, used to input the soil data, the pipe data and the engineering data into a target analysis model, and output an arrangement scheme corresponding to the freezing pipe, wherein the arrangement scheme characterizes the arrangement results of the freezing pipe in the project, including position results and angle results, and the freezing pipe is used to generate frozen soil within a preset range in the project; wherein the target analysis model is obtained by the following operation training: determining initial pipe parameters using sample data, wherein the initial pipe parameters include radial movement parameters, position parameters and distribution parameters; constructing an initial analysis model based on initial condition data, the radial movement parameters, the position parameters and the distribution parameters, wherein the initial condition data includes sample pipe data and sample soil data; and training the initial analysis model using the sample data and the labels corresponding to the sample data to obtain the target analysis model.

[0007] A third aspect of the present invention provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the above method.

[0008] The fourth aspect of the present invention also provides a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the above method.

[0009] The fifth aspect of the present invention also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0010] According to the freezing pipe arrangement method and device based on the coupling influence of seepage and salinity provided by the present invention, by inputting the acquired soil data, pipe data and engineering data into the trained target analysis model, the position results and angle results of the freezing pipe arrangement can be automatically generated, thereby improving the efficiency of the pipe arrangement in the underground project. Since the arrangement results of the freezing pipes take into account the dual influence of the seepage data and the salinity data, the arranged freezing pipes can better resist the influence of seepage and salinity on the freezing construction work, meet the requirement of achieving the thickness of the freezing curtain required for the project within the specified time, shorten the construction period, and improve the safety, economy and efficiency of the project construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0012] Figure 1 An application scenario diagram of a freezing pipe arrangement method, device, equipment, storage medium, and program product based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown;

[0013] Figure 2 A flow chart of a freezing pipe arrangement method based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown;

[0014] Figure 3 A schematic diagram of pipe distribution after optimization according to a freezing pipe arrangement method based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown;

[0015] Figure 4 A schematic diagram of optimization of freezing pipe arrangement generated by a freezing pipe arrangement method based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown;

[0016] Figure 5 A flow chart showing a method for optimizing the arrangement of freezing pipes according to an embodiment of the present invention is shown;

[0017] Figure 6 A structural block diagram of a freezing pipe arrangement device based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown;

[0018] Figure 7 A block diagram of an electronic device suitable for implementing a freezing pipe arrangement method based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0019] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0020] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0021] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0022] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0023] In the technical solution of the present invention, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0024] In the process of conceiving the present invention, the inventors found that the traditional freezing pipe arrangement method in the relevant technology for underground projects has limitations under the dual influence of seepage and salinity, and cannot achieve the freezing curtain thickness required for the project within the specified time; the arrangement of the freezing pipes lacks a reasonable and effective freezing pipe optimization arrangement method, and cannot effectively resist the influence of seepage and salinity on freezing construction.

[0025] In view of this, the present invention can automatically generate the position results and angle results of the freezing pipe arrangement by inputting the acquired soil data, pipe data and engineering data into the trained target analysis model, thereby improving the efficiency of the pipe arrangement in underground projects. Since the arrangement results of the freezing pipes take into account the dual influence of seepage data and salt data, the arranged freezing pipes can better resist the influence of seepage and salt on the freezing construction work, meet the thickness of the freezing curtain required for the project within the specified time, shorten the construction period, and improve the safety, economy and efficiency of the project construction.

[0026] An embodiment of the present invention provides a freezing pipe arrangement method, device, equipment, storage medium and program product based on the coupling effects of seepage and salinity. The method includes obtaining soil data, pipe data and engineering data corresponding to the project, wherein the soil data includes seepage data and salinity data; inputting the soil data, pipe data and engineering data into a target analysis model, and outputting an arrangement scheme corresponding to the freezing pipes, wherein the arrangement scheme characterizes the arrangement results of the freezing pipes in the project, including position results and angle results, and the freezing pipes are used to generate frozen soil within a preset range in the project; wherein the target analysis model is obtained by training the following operations: determining initial pipe parameters using sample data, wherein the pipe parameters include radial movement parameters, position parameters and distribution parameters; constructing an initial analysis model based on initial condition data, radial movement parameters, position parameters and distribution parameters, wherein the initial condition data includes sample pipe data and sample soil data; and training the initial analysis model using sample data and labels corresponding to the sample data to obtain a target analysis model.

[0027] Figure 1 An application scenario diagram of a freezing pipe arrangement method, device, equipment, storage medium, and program product based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown.

[0028] like Figure 1 As shown, the application scenario according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a monitoring device 106. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, the server 105, and the monitoring device 106. The network 104 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0029] The monitoring device 106 may represent a device used to monitor soil and frozen pipes in underground projects, such as a temperature sensor, an optical fiber temperature sensor, and a wireless sensor network. The specific device type may be determined according to actual project requirements and is not limited here. The monitoring device 106 and the server 105 may be connected via the network 104 to transmit the monitoring data obtained by the monitoring device 106 to the server 106 for corresponding processing and analysis.

[0030] The user may use at least one of the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0031] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0032] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0033] It should be noted that the freezing pipe arrangement method based on the coupling effect of seepage and salinity provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the freezing pipe arrangement device based on the coupling effect of seepage and salinity provided in the embodiment of the present invention can generally be arranged in the server 105. The freezing pipe arrangement method based on the coupling effect of seepage and salinity provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the freezing pipe arrangement device based on the coupling effect of seepage and salinity provided in the embodiment of the present invention can also be arranged in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0034] It should be understood that Figure 1 The number of terminal devices, networks, monitoring devices and servers in the embodiment is only for illustration. Any number of terminal devices, monitoring devices, networks and servers may be provided according to the implementation requirements.

[0035] Figure 2 A flow chart of a freezing pipe arrangement method based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown.

[0036] like Figure 2As shown, the freezing pipe arrangement method based on the coupling effect of seepage and salinity in this embodiment includes operations S210 to S220.

[0037] In operation S210, soil data, pipe data, and engineering data corresponding to the project are acquired, where the soil data includes seepage data and salinity data.

[0038] According to an embodiment of the present invention, soil data can be acquired by using monitoring equipment arranged at a preset position near a freezing pipe in an underground project, and the soil data may include seepage data, salinity data, mechanical data, freezing curtain data, temperature data, freezing time data, hydrodynamic viscosity coefficient and seepage pressure difference of the soil in the underground project. The temperature data may include initial temperature data of the soil and average freezing temperature data of the freezing curtain. The mechanical data may characterize the physical and mechanical parameters of the soil in the underground project, including soil porosity, soil permeability, soil specific heat capacity, soil density, soil thermal conductivity, brine density and specific heat capacity of brine. The pipe data may include the number and size of the pipes of the freezing pipe, and the pipe size may include the radius or diameter of the pipe. The engineering data may include geometric data and burial depth data of the underground project.

[0039] In operation S220, soil data, pipe data and engineering data are input into the target analysis model, and an arrangement scheme corresponding to the freezing pipes is output, wherein the arrangement scheme represents the arrangement results of the freezing pipes in the project, including position results and angle results, and the freezing pipes are used to generate frozen soil within a preset range in the project.

[0040] According to an embodiment of the present invention, the target analysis model can represent the water-heat-salt coupling numerical initial model constructed by combining soil data, pipe data and engineering data, and the trained target analysis model that meets the preset monitoring accuracy is obtained by training the initial model. The angle result can represent the angle difference between adjacent pipes in multiple frozen pipes; the position result can represent the position data of multiple frozen pipes in underground engineering.

[0041] Preferably, the target analysis model can be trained through the following operations (including operations S221 to S223).

[0042] In operation S221, initial tube body parameters are determined using the sample data, wherein the initial tube body parameters include radial movement parameters, position parameters, and distribution parameters.

[0043] In operation S222, an initial analysis model is constructed based on initial condition data, radial movement parameters, position parameters, and distribution parameters, where the initial condition data includes sample tube body data and sample soil body data.

[0044] In operation S223, the initial analysis model is trained using the sample data and the labels corresponding to the sample data to obtain a target analysis model.

[0045] According to an embodiment of the present invention, sample data may include sample soil data, sample pipe data, and sample engineering data. The initial pipe data may include radial movement parameters, position parameters, and distribution parameters of the initial frozen pipe. The radial movement parameters may characterize the initial movement distance of the frozen pipe in different directions of the groundwater, including the initial radial movement parameters on the upstream side of the groundwater seepage and the initial radial movement parameters on the downstream side; the position parameters may characterize the central position of the frozen pipe distribution, which may be represented by the distribution mean; the distribution parameters may characterize the degree of dispersion of the frozen pipe distribution, which may be represented by the standard deviation and shape of the distribution. After obtaining the sample soil data, the sample pipe data, and the sample engineering data, the initial pipe parameters may be assigned according to the initialization rules or engineering experience to obtain the initial pipe parameters.

[0046] According to an embodiment of the present invention, the sample soil data may include sample freezing curtain data, sample average freezing temperature data of the freezing curtain, sample soil mechanics data, sample seepage data, and sample salinity data. The initial condition data may represent condition data combining the sample soil data, the sample pipe data, and the sample engineering data. The initial analysis model may represent a water-heat-salt coupling numerical initial model. The initial analysis model may be trained using a preset optimization algorithm (e.g., a genetic algorithm) to obtain a target analysis model.

[0047] According to an embodiment of the present invention, by inputting the acquired soil data, pipe data and engineering data into a trained target analysis model, the position results and angle results of the freezing pipe arrangement can be automatically generated, thereby improving the efficiency of the pipe arrangement in underground projects. Since the arrangement results of the freezing pipes take into account the dual influence of seepage data and salt data, the arranged freezing pipes can better resist the influence of seepage and salt on the freezing construction work, thereby meeting the thickness of the freezing curtain required for the project within the specified time, shortening the construction period, and improving the safety, economy and efficiency of the project construction.

[0048] According to an embodiment of the present invention, the soil data also includes mechanical data and freezing curtain data, and the pipe data includes the number of pipes and the size of the pipes; the soil data, the pipe data and the engineering data are input into the target analysis model, and an arrangement scheme corresponding to the frozen pipes is output, including: the seepage data, the salt data, the mechanical data, the freezing curtain data, the number of pipes, the size of the pipes and the engineering data are input into the target analysis model, and the position results and the angle results are output.

[0049] According to an embodiment of the present invention, a freezing curtain can be used to isolate and stabilize soil during underground engineering construction. The coolant in the freezing pipe freezes the water in the soil around the freezing pipe to form a solid ice layer, which serves as a support and water barrier for construction. The freezing curtain data can represent the geometric data (such as thickness and depth) of the freezing curtain.

[0050] According to an embodiment of the present invention, the freezing pipe includes multiple freezing pipes; the target analysis model includes an angle analysis model; soil data, pipe data and engineering data are input into the target analysis model, and an arrangement plan corresponding to the freezing pipes is output, including: using an angle distribution strategy to determine the probability value of the distribution angle of multiple freezing pipes; and inputting the pipe data and the probability value into the angle analysis model, and outputting an angle result, which represents the angle difference between two adjacent pipe bodies in the multiple freezing pipes.

[0051] According to an embodiment of the present invention, the angle analysis model can be used to predict the angle difference between two adjacent pipe bodies of a plurality of freezing pipes after the optimal arrangement. The angle distribution strategy can characterize the freezing pipe arrangement angle rule or standard. The probability value can characterize the probability distribution value of each freezing pipe angle in the plurality of freezing pipes.

[0052] In a feasible embodiment, the angle difference between two adjacent freezing pipes can be calculated as shown in the following formula (1) to formula (2):

[0053] (1);

[0054] (2);

[0055] Where i is the number of the frozen pipe in the underground project; μ is the pipe position parameter, which determines the center position of the distribution (i.e., the mean of the distribution); b is the pipe scale parameter, which controls the dispersion of the distribution (i.e., the standard deviation and shape of the distribution); δθ i-1 To optimize the angle difference between the i-1th freezing pipe and the i-th freezing pipe after the arrangement, f(i, μ, b) can represent the angle probability distribution value of the i-th freezing pipe after the optimized arrangement. It can be understood that the angle θ of each freezing pipe can be determined according to the angle probability distribution value of each freezing pipe and the number of freezing pipes. i .

[0056] According to the embodiments of the present invention, through reasonable angle distribution, the coverage of the freezing curtain can be maximized, the overall effect can be improved, and dead angles can be reduced; reasonable angle difference can ensure uniform cooling effect, help stabilize the freezing curtain, and avoid local weak areas; at the same time, the use of optimized pipeline layout can reduce the use of coolant, improve construction efficiency, and thus reduce the overall construction cost, and a clear angle distribution strategy facilitates on-site management, reduces the complexity of the construction process, improves operational safety, and further enhances the effect and safety of the entire underground engineering construction.

[0057] According to an embodiment of the present invention, the target analysis model also includes a position analysis model, the engineering data includes an engineering radius, and the pipe body data also includes an angle result; the soil data, the pipe body data and the engineering data are input into the target analysis model, and an arrangement plan corresponding to the frozen pipe is output, which also includes: inputting the engineering radius and the angle result into the target position analysis model, outputting a first displacement result and a second displacement result; and determining the position result based on the first displacement result, the second displacement result, the engineering radius and the angle result.

[0058] According to an embodiment of the present invention, the position analysis model can analyze and predict the position data of the freezing pipe, which can be represented by the radial displacement difference of the freezing pipe before and after the optimized arrangement. The first displacement result can characterize the displacement result of the freezing pipe in the upstream direction of the groundwater, and the second displacement result can characterize the displacement result of the freezing pipe in the downstream direction of the groundwater. The project radius can characterize the radial distance of the underground project to be constructed. The angle result can characterize the angle value after the optimized arrangement of the freezing pipe. The position result can characterize the distance of the freezing pipe from the midpoint (point O) of the underground project after the optimized arrangement.

[0059] In a feasible embodiment, the position result of the freezing pipe can be outputted by the target position analysis model as shown in the following formula (3) to formula (4):

[0060] (3);

[0061] (4);

[0062] Among them, d1 and d2 are the radial movement distances of the downstream side of the freezing pipe (the second displacement result) and the radial movement distances of the upstream side (the first displacement result), respectively; r0 is the radius distance of the underground project to be constructed; θ i is the angle of the i-th freezing pipe after the optimal arrangement; δr(θ i ) is the radial displacement difference of the i-th freezing pipe before and after the optimal arrangement; r i To optimize the arrangement, the distance between the freezing pipe and the midpoint of the underground project is determined.

[0063] Figure 3A schematic diagram of pipe distribution after optimization according to a freezing pipe arrangement method based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown.

[0064] like Figure 3 As shown, in underground engineering construction, the freezing method is used to transport coolant to the freezing pipes through the constant temperature pump 310 and the freezing circulation pipe 320 for the soil within the target area. The initial freezing pipes 331 without considering the dual factors of seepage and salt are arranged in an equidistant semicircular pattern. After considering the dual factors of seepage and salt and optimizing the arrangement of the initial freezing pipes 331 through the target analysis model, the arrangement scheme of the target freezing pipes 332 is obtained, which is distributed in an elliptical shape with non-equidistant spacing. By comparing the arrangement of the initial freezing pipes 331 and the target freezing pipes 332, it can be seen that the optimized freezing pipes are encrypted on the upstream side of the water level to resist the influence of seepage on the freezing effect, and the freezing pipes are relatively sparse on the downstream side to avoid overfreezing, so that the freezing curtain formed under the influence of the dual factors of seepage and salt can meet the needs of engineering construction.

[0065] Furthermore, the soil temperature is monitored by using monitoring equipment 340 (such as a temperature sensor) arranged around the outside of the freezing pipe, and the water in the soil around the freezing pipe is frozen by the coolant in the target freezing pipe 332, forming a freezing curtain 350 that meets the preset thickness requirements, which serves as a support and waterproof barrier for construction. It is understandable that the monitoring equipment 340 can be connected to the data sensing equipment and then sent to the server or server cluster for analysis and processing; the monitoring equipment 340 can also include a data transmission component and directly connect to the server or server cluster through a wireless network through the transmission component for data processing.

[0066] According to an embodiment of the present invention, by analyzing the position results calculated by the model, the position of the freezing pipe can be determined more accurately and the error can be reduced; the first displacement and the second displacement results provide real-time feedback, which is convenient for making necessary adjustments during the construction process and improving the flexibility of the project; and based on the displacement results, the design and layout of the freezing pipe can be optimized to ensure the stability of the underground project during construction.

[0067] According to an embodiment of the present invention, the method further includes: comparing the angle result with a preset angle threshold to generate an angle comparison result; and determining a target position analysis model from a plurality of position analysis models based on the comparison result.

[0068] According to an embodiment of the present invention, as shown in formula (3), the radial displacement difference of the i-th freezing pipe before and after the optimized arrangement is associated with the angle value of the i-th freezing pipe after the optimized arrangement, and the target position analysis model may include a first position analysis model and a second position and analysis model. The preset angle threshold may be π / 2, and it is understandable that the preset angle threshold may be determined according to actual engineering requirements and is not limited here.

[0069] According to an embodiment of the present invention, a target position analysis model is determined from multiple position analysis models based on comparison results, including: when the comparison result represents an angle result that is less than or equal to a preset angle threshold, determining a first position analysis model from multiple position analysis models as a target position analysis model, the first position analysis model being used to analyze the position result of the freezing pipe on the upstream side of the seepage direction in the project; and when the comparison result represents an angle result that is greater than a preset angle threshold, determining a second position analysis model from multiple position analysis models as a target position analysis model, the second position analysis model being used to analyze the position result of the freezing pipe on the downstream side of the seepage direction in the project.

[0070] According to an embodiment of the present invention, a method for determining a target position analysis model by comparing an angle result with a preset angle threshold may include: taking the preset angle threshold as π / 2 as an example, at θ i ≤π / 2, the radial displacement difference of the i-th freezing pipe is equal to the first displacement result, and then the first position analysis model is determined as the target position analysis model; in θ i >π / 2, the radial displacement difference of the i-th freezing pipe is equal to the second displacement result, and then the second position analysis model is determined as the target position analysis model.

[0071] According to an embodiment of the present invention, by comparing the angle results of the freezing pipe with the preset angle threshold, the target position analysis model can be flexibly determined according to the different conditions of the on-site groundwater level, so that the position results of the freezing pipes at different locations can be comprehensively predicted and analyzed according to the actual conditions of the project, thereby improving the accuracy of the freezing pipe position prediction results.

[0072] According to an embodiment of the present invention, the method further includes: obtaining temperature field distribution data using the sample tube body data and the sample soil body data, wherein the temperature field distribution data is associated with the seepage data and the salt data.

[0073] According to an embodiment of the present invention, the temperature field distribution data can characterize the data related to the slow development of the temperature in the upstream freezing area under the influence of the dual factors of seepage and salt, the inability of the freezing curtain to close in time and reach the thickness required by the project, and the excessively rapid development of the temperature of the lower freezing wall, the excessive increase in the thickness of the freezing curtain, and the easy generation of frost heave, thaw and sinking. After determining the temperature field distribution data, the temperature data and heat transfer efficiency data to be reached by the coolant (such as brine or ammonia) in the freezing pipe can be determined; the heat transfer efficiency data can characterize the freezing effect data achieved by adjusting the angle data and distance data between the freezing pipes while freezing the soil around the freezing pipe using the coolant, considering the dual factors of seepage and salt. The initial condition data can also include the brine temperature data and heat transfer efficiency data of the pipe body.

[0074] In a feasible embodiment, when it is determined that the freezing pipe on the upstream side is susceptible to the inhibition of seepage and salt, the angle θ between the upstream freezing pipes can be reduced. i To increase the freezing efficiency of the freezing pipes; at the same time, it can be determined that the thickness of the freezing wall on the downstream side is far greater than the engineering setting thickness, so by increasing the angle θ between the downstream freezing pipes i and change the radial distance δr(θ i ) to increase the freezing efficiency between freezing pipes.

[0075] According to an embodiment of the present invention, through the temperature field distribution data, the freezing effect of the freezing pipe in the upstream and downstream sides of the water level can be more accurately targeted, thereby helping to optimize the angle and position data design of the freezing pipe, ensuring more efficient heat exchange and energy utilization; through temperature field monitoring, real-time data analysis can be achieved, problems can be discovered and adjusted in time, and the responsiveness of the system can be improved.

[0076] According to an embodiment of the present invention, the method also includes: obtaining temperature data and thickness data of the frozen soil through monitoring points corresponding to the freezing pipes to obtain monitoring results; generating alarm information when it is determined that the monitoring results characterize the frozen soil as risky soil; and sending the alarm information to the terminal device.

[0077] According to an embodiment of the present invention, the temperature monitoring data of each monitoring point in each underground project can be sorted in chronological order, and the relationship between the thickness data of the freezing curtain required by the project and the average temperature of the freezing curtain can be analyzed by comparing the temperature data of the monitoring points; by obtaining temperature data in real time and setting temperature thresholds, when the temperature of the monitoring point exceeds or falls below the set value, the system automatically sends a warning signal to remind the operator to take emergency measures.

[0078] Figure 4 A schematic diagram of optimization of freezing pipe arrangement generated by a freezing pipe arrangement method based on the coupling effect of seepage and salinity according to an embodiment of the present invention is shown.

[0079] like Figure 4 As shown, the initial arrangement wiring 410 of the freezing pipes without considering the dual factors of seepage and salinity in the underground engineering soil is distributed in an equidistant semicircular shape; while considering the dual factors of seepage and salinity in the underground engineering soil, the initial arrangement wiring 410 of the freezing pipes is optimized through the target analysis model of the present invention, and the target arrangement wiring 420 of the freezing pipes can be obtained, which is distributed in a non-equidistant elliptical shape.

[0080] According to an embodiment of the present invention, the initial analysis model includes an initial angle analysis model and an initial position analysis model; constructing the initial analysis model based on initial condition data, radial movement parameters, position parameters and distribution parameters includes: constructing an initial angle analysis model using the initial condition data, position parameters and distribution parameters; determining the angle difference between sample tubes based on the initial angle analysis model; and constructing an initial position analysis model based on the angle difference, initial condition data and radial movement parameters.

[0081] According to an embodiment of the present invention, the initial angle analysis model and the initial position analysis model can respectively characterize the freezing pipe arrangement angle prediction model and the freezing pipe arrangement position prediction model that have not been optimized and trained. After the angle difference between multiple sample pipe bodies is determined using the initial angle analysis model, the initial position analysis model can be constructed based on the angle difference, conditional data combining sample soil data, sample pipe data and sample engineering data, and radial movement parameters of the sample pipe body on the upstream and downstream sides.

[0082] Figure 5 A flow chart of a method for optimizing the arrangement of freezing pipes according to an embodiment of the present invention is shown.

[0083] like Figure 5 As shown, the freezing pipe optimization arrangement method may include operations S510 to S580.

[0084] In operation S510, soil parameters and freezing pipe parameters are obtained. Soil parameters can characterize soil parameters required for the initial analysis model, and freezing pipe parameters can characterize parameters required for the freezing pipe arrangement position. It may include the number of freezing pipes H, freezing pipe radius r, soil initial temperature t0, freezing time t, freezing pipe diameter d, freezing curtain thickness h, hydrodynamic viscosity coefficient μ, and seepage pressure difference ΔP. The physical and mechanical parameters of the soil include soil porosity n, soil permeability κ, soil specific heat capacity C1, soil density ρ1, and soil thermal conductivity k s , the thermal conductivity of water k w .

[0085] In operation S520, multiple groups of initial tube body parameters are generated. The initial tube body parameters may include radial movement parameters, position parameters, and distribution parameters. At the same time, adjustable data may be selected according to the initial tube body parameters.

[0086] In operation S530 , an initial analysis model (water-heat-salt coupling numerical initial model) is constructed according to different initial pipe body parameters.

[0087] In operation S540, considering the influence of the dual factors of seepage and salinity on the soil in the underground engineering, an analysis prediction is performed using an initial analysis model based on simulation analysis software.

[0088] In operation S550, the freezing wall temperature reduction is calculated and verified using monitoring equipment.

[0089] In operation S560, it is determined whether the model meets the preset prediction analysis accuracy.

[0090] In operation S570, a target analysis model is determined when the model satisfies a preset analysis accuracy, and a frozen pipe optimization arrangement result is generated.

[0091] In operation S580, when the model does not meet the preset analysis accuracy, different intermediate models are constructed by adjusting different pipe body parameters.

[0092] In operation S581, the radial displacement of the upstream and downstream freezing pipes may be selected to be retained according to the temperature change.

[0093] In operation S582, parameters such as the offset angle of the freezing pipe may be exchanged.

[0094] In operation S583, the position and size parameters of the freezing pipe are randomly changed.

[0095] Otherwise, the parameters of the frozen pipe body are iteratively optimized until the prediction accuracy of the intermediate model meets the preset prediction accuracy requirement, and the intermediate model is determined as the target analysis model.

[0096] In a feasible embodiment, based on Darcy's law and Fourier's law of heat conduction, combined with real-time acquired soil data, pipe data and engineering data, the pipe position and angle can be frozen for arrangement, and the arrangement method can include operations S601 to S604.

[0097] In operation S601, determine the pipe data (such as the number data of freezing pipes, the freezing pipe size data), engineering data (such as the shape of the connecting tunnel), freezing curtain data (such as the required thickness of the freezing curtain, the average freezing temperature data of the freezing curtain), and soil data (such as mechanical parameters, groundwater flow rate conditions, and salt concentration).

[0098] In operation S602, based on the pipe body data, engineering data, freezing curtain data and engineering data obtained above, a water-heat-salt coupling numerical model can be constructed to obtain temperature field distribution data under different seepage velocity conditions and different salt concentrations, and determine the material parameters of the freezing pipe.

[0099] In operation S603, an initial position analysis model and an initial angle analysis model of the freezing pipes under the influence of the dual factors of seepage and salt are determined according to the temperature field distribution data under the initial uniform arrangement condition of the freezing pipes.

[0100] In operation S604, a genetic algorithm is used to calculate the initial pipe parameters of the water-heat-salt coupling numerical model under the dual influence of seepage and salinity, and the accuracy of the results is verified by the temperature data obtained by the temperature monitoring system to obtain the optimized arrangement position of the frozen pipes under different seepage and salinity conditions.

[0101] In a feasible embodiment, the initial pipe body parameters may include radial movement parameters, position parameters and distribution parameters. The radial movement parameters may include a first radial parameter (denoted as d1) and a second radial parameter (denoted as d2). The position parameter may characterize the central position of the freezing pipe distribution, denoted as μ. The distribution parameter may characterize the dispersion / density of the freezing pipe distribution, denoted as b. The maximum angle difference of the freezing pipe may be located after the fourth freezing pipe, so μ satisfies the conditions [4,9], with a step length of 0.25, and there are 21 parameters. b also satisfies the conditions [4,9], with a step length of 0.25, and there are 21 parameters. To form a 2m thick freezing curtain, the value range of d1 and d2 may be [0,1], with a step length of 0.025, and there are 41 parameters each. Furthermore, in this example, there are 21×21×41×41=741321 different parameter permutations and combinations, that is, there are 741321 freezing pipe arrangement optimization methods.

[0102] It is understandable that, when there are multiple arrangements of the frozen pipes, the genetic algorithm can be used to determine the initial pipe parameters and then obtain the probability of the most optimized arrangement among the multiple arrangements, as shown in the following formula (5):

[0103] (5);

[0104] Among them, f (x i ) is the freezing curtain temperature distribution under the i-th arrangement; N is the sum of the freezing pipe arrangements; p i is the probability of the optimal arrangement under the i-th arrangement mode, f (x j ) can be the freezing curtain temperature distribution of actual intelligent temperature monitoring, and j can represent the jth arrangement of actual monitoring corresponding to i.

[0105] In a feasible embodiment, during the optimization training process of the target analysis model, the prediction accuracy of the initial analysis model can be verified by actually acquired engineering data, and the verification method includes operations S701 to S704.

[0106] In operation S701, the radial displacement difference and angle difference of the freezing pipe are assumed to be the predicted values ​​after the optimized arrangement, that is, δr(θ y )=δr(θ i ), δθ y-1 =δθ i-1 .

[0107] In operation S702, the intermediate radial displacement difference and the intermediate angle difference of the freezing pipe are determined, as shown in the following formula (6) to formula (7):

[0108] (6);

[0109] (7);

[0110] in, is the radial displacement difference of the yth frozen pipe in the middle stage of training, θ y is the angle of the yth freezing pipe in the middle stage; r y It is the distance between the freezing pipe in the middle stage and the midpoint of the underground project.

[0111] In operation S703, the optimized parameter value of the freezing pipe angle is determined, as shown in the following formula (8) to formula (9):

[0112] (8);

[0113] (9);

[0114] Among them, f(y-1,μ,b) can represent the angle probability distribution value of the yth freezing pipe in the intermediate stage.

[0115] In operation S704, the optimized parameter value of the freezing pipe is input into the intermediate analysis model and compared with the actual monitoring value. y Less than the actual monitoring probability value p i In the case of, as shown in the following formula (10):

[0116] (10);

[0117] Among them, p i is the probability that the i-th arrangement is the optimal arrangement; p y The probability of the optimal arrangement under the intermediate stage optimization arrangement mode. Then, by selecting, some parameter values ​​can be retained and some parameter values ​​of the freezing pipe can be changed, and the optimization calculation can be continued, as shown in the following formulas (11) to (12):

[0118] (11);

[0119] (12);

[0120] The predicted value p obtained by the model y Greater than or equal to the actual monitoring value p i In the case of , the termination condition of the iteration is met, as shown in the following formula (13):

[0121] (13);

[0122] Among them, r0 is the radius distance of the underground project to be constructed; δr(θ i(t) ) is the radial displacement difference of the freezing pipe before and after the i-th optimization arrangement in the intermediate stage; i(t) is the number of the freezing pipe in the underground project after the i-th arrangement in the intermediate stage; δθ y-1 is the angle difference between the y-1th freezing pipe and the yth freezing pipe after the optimized arrangement in the intermediate stage; δθ i(t)-1 is the angle difference between the two freezing pipes after the i-th optimization arrangement in the intermediate stage; f(x y ) is the freezing curtain temperature distribution under the optimized arrangement in the intermediate stage; N is the sum of the freezing pipe arrangements.

[0123] In a feasible embodiment, two typical cases of freezing method implementation can be selected. Case 1 is the determination of freezing curtain handover time using ant colony algorithm in numerical model under seepage influence reported in related art (2016); Case 2 is a series of numerical models reported in related art (2022), using the target analysis model in the embodiment of the present invention to predict and analyze the development of freezing curtain under different seepage velocities and salinities. Table 1 shows the calculation results of two cases analyzed by the target analysis model in the embodiment of the present invention.

[0124] Table 1

[0125]

[0126] According to Table 1, the present invention has a good fitting effect with the engineering measured results. The freezing pipe arrangement method based on the coupling effect of seepage and salinity disclosed in the present invention has strong applicability, and the results are reasonable and simple and easy to implement.

[0127] Based on the above-mentioned freezing pipe arrangement method based on the coupling effect of seepage and salinity, the present invention also provides a freezing pipe arrangement device based on the coupling effect of seepage and salinity. Figure 6 The device is described in detail.

[0128] Figure 6 A structural block diagram of a freezing pipe arrangement device based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown.

[0129] like Figure 6 As shown, the freezing pipe arrangement device based on the coupling effect of seepage and salinity in this embodiment includes a data acquisition module 610 and a solution output module 620 .

[0130] The data acquisition module 610 is used to acquire soil data, pipe data and engineering data corresponding to the project, wherein the soil data includes seepage data and salinity data. In one embodiment, the data acquisition module 610 can be used to perform the operation S210 described above, which will not be described in detail here.

[0131] The solution output module 620 is used to input soil data, pipe data and engineering data into the target analysis model, and output an arrangement scheme corresponding to the freezing pipe, wherein the arrangement scheme represents the arrangement result of the freezing pipe in the project, including the position result and the angle result, and the freezing pipe is used to generate a frozen soil body within a preset range in the project. In one embodiment, the solution output module 620 can be used to perform the operation S220 described above, which will not be repeated here.

[0132] According to an embodiment of the present invention, the target analysis model is obtained by training through the following operations: using sample data to determine initial pipe body parameters, wherein the initial pipe body parameters include radial movement parameters, position parameters and distribution parameters; constructing an initial analysis model based on initial condition data, radial movement parameters, position parameters and distribution parameters, wherein the initial condition data includes sample pipe body data and sample soil body data; and training the initial analysis model using sample data and labels corresponding to the sample data to obtain a target analysis model.

[0133] According to an embodiment of the present invention, through the data acquisition module 610 and the solution output module 620 in the freezing pipe arrangement device based on the coupling influence of seepage and salinity, by inputting the acquired soil data, pipe data and engineering data into the trained target analysis model, the position results and angle results of the freezing pipe arrangement can be automatically generated, thereby improving the efficiency of the pipe arrangement in the underground project. Since the arrangement results of the freezing pipes take into account the dual influence of the seepage data and the salinity data, the arranged freezing pipes can better resist the influence of seepage and salinity on the freezing construction work, meet the thickness of the freezing curtain required for the project within the specified time, shorten the construction period, and improve the safety, economy and efficiency of the project construction.

[0134] According to an embodiment of the present invention, the soil data also includes mechanical data and frozen curtain data, and the pipe data includes the number of pipes and the size of pipes; the solution output module 620 includes: a result output submodule, which is used to input seepage data, salinity data, mechanical data, frozen curtain data, the number of pipes, the size of pipes and engineering data into the target analysis model, and output position results and angle results.

[0135] According to an embodiment of the present invention, the freezing pipe includes a plurality of freezing pipes; the target analysis model includes an angle analysis model; and the solution output module 620 includes: a probability value determination submodule and an angle result output submodule.

[0136] The probability value determination submodule is used to determine the probability values ​​of the distribution angles of the plurality of freezing pipes by using the angle distribution strategy.

[0137] The angle result output submodule is used to input the pipe body data and probability value into the angle analysis model and output the angle result, which represents the angle difference between two adjacent pipe bodies in multiple frozen pipes.

[0138] According to an embodiment of the present invention, the target analysis model also includes a position analysis model, the engineering data includes an engineering radius, and the pipe body data also includes an angle result; the solution output module 620 also includes: a displacement result output submodule and a position result determination submodule.

[0139] The displacement result output submodule is used to input the engineering radius and angle results into the target position analysis model and output the first displacement result and the second displacement result.

[0140] The position result determination submodule is used to determine the position result based on the first displacement result, the second displacement result, the engineering radius and the angle result.

[0141] According to an embodiment of the present invention, the device further includes: a comparison result generating module and a model determining module.

[0142] The comparison result generation module is used to compare the angle result with the preset angle threshold to generate an angle comparison result.

[0143] The model determination module is used to determine a target location analysis model from multiple location analysis models based on the comparison results.

[0144] According to an embodiment of the present invention, the model determination module includes: a first model determination submodule and a second model determination submodule.

[0145] The first model determination submodule is used to determine the first position analysis model as the target position analysis model from multiple position analysis models when the comparison result represents an angle result that is less than or equal to a preset angle threshold. The first position analysis model is used to analyze the position result of the freezing pipe on the upstream side of the seepage direction in the project.

[0146] The second model determination submodule is used to determine the second position analysis model as the target position analysis model from multiple position analysis models when the comparison result represents that the angle result is greater than a preset angle threshold. The second position analysis model is used to analyze the position results of the freezing pipe on the downstream side of the seepage direction in the project.

[0147] According to an embodiment of the present invention, the device further includes: a distribution data obtaining module.

[0148] The distribution data acquisition module is used to obtain temperature field distribution data using sample tube data and sample soil data, and the temperature field distribution data is associated with seepage data and salinity data.

[0149] According to an embodiment of the present invention, the device further includes: a monitoring result obtaining module, an alarm information generating module and an alarm information sending module.

[0150] The monitoring result obtaining module is used to obtain the temperature data and thickness data of the frozen soil through the monitoring points corresponding to the freezing pipes to obtain the monitoring results.

[0151] The alarm information generation module is used to generate alarm information when it is determined that the monitoring result indicates that the frozen soil is a risky soil.

[0152] The alarm information sending module is used to send the alarm information to the terminal device.

[0153] According to an embodiment of the present invention, the initial analysis model includes an initial angle analysis model and an initial position analysis model; constructing the initial analysis model based on initial condition data, radial movement parameters, position parameters and distribution parameters includes: constructing an initial angle analysis model using the initial condition data, position parameters and distribution parameters; determining the angle difference between sample tubes based on the initial angle analysis model; and constructing an initial position analysis model based on the angle difference, initial condition data and radial movement parameters.

[0154] According to an embodiment of the present invention, any multiple modules in the data acquisition module 610 and the solution output module 620 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the data acquisition module 610 and the solution output module 620 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in any appropriate combination of any of them. Alternatively, at least one of the data acquisition module 610 and the solution output module 620 can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0155] Figure 7A block diagram of an electronic device suitable for implementing a freezing pipe arrangement method based on the coupling effects of seepage and salinity according to an embodiment of the present invention is shown.

[0156] like Figure 7 As shown, the electronic device according to an embodiment of the present invention includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage part 708 to a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include an onboard memory for caching purposes. The processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0157] In RAM 703, various programs and data required for the operation of electronic device 700 are stored. Processor 701, ROM 702 and RAM 703 are connected to each other via bus 704. Processor 701 performs various operations of the method flow according to the embodiment of the present invention by executing the programs in ROM 702 and / or RAM 703. It should be noted that the program can also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 can also perform various operations of the method flow according to the embodiment of the present invention by executing the programs stored in the one or more memories.

[0158] According to an embodiment of the present invention, the electronic device may further include an input / output (I / O) interface 705, which is also connected to the bus 704. The electronic device 700 may further include one or more of the following components connected to the input / output (I / O) interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 708 including a hard disk, etc.; and a communication portion 709 including a network interface card such as a LAN card, a modem, etc. The communication portion 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read therefrom is installed into the storage portion 708 as needed.

[0159] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0160] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 702 and / or RAM 703 described above and / or one or more memories other than ROM 702 and RAM 703.

[0161] The embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the freezing pipe arrangement method based on the coupling effect of seepage and salinity provided by the embodiment of the present invention.

[0162] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when it is executed by the processor 701. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0163] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 709, and / or installed from the removable medium 711. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0164] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0165] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0166] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0167] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All of these combinations and / or combinations fall within the scope of the present invention.

[0168] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A freezing pipe arrangement method based on the coupling effect of seepage and salinity, characterized in that: The method comprises: Acquire soil data, pipe data and engineering data corresponding to the project, wherein the soil data includes seepage data, salinity data and mechanical data, wherein the mechanical data characterizes the physical and mechanical parameters of the soil, including brine density and brine specific heat capacity, and the engineering data includes the radius of the project; Input the soil data, the pipe data and the project data into the target analysis model, and output an arrangement scheme corresponding to the freezing pipes, wherein the arrangement scheme represents the arrangement results of the freezing pipes in the project, including position results and angle results, the freezing pipes are used to generate frozen soil within a preset range in the project, the target analysis model includes an angle analysis model and a position analysis model, the angle result represents the angle difference between adjacent pipes in a plurality of the freezing pipes, the position result is determined based on the project radius, the angle result, the first displacement result and the second displacement result, and the first displacement result and the second displacement result are output by the position analysis model; The target analysis model is trained by the following operations: Determine the initial pipe body parameters using sample data, wherein the initial pipe body parameters include radial movement parameters, position parameters and distribution parameters, the radial movement parameters characterize the initial movement distance of the freezing pipe in different directions of groundwater, including the initial radial movement parameters of the upstream side of the groundwater seepage and the initial radial movement parameters of the downstream side, the position parameters characterize the central position of the freezing pipe distribution, represented by the distribution mean, and the distribution parameters characterize the dispersion of the freezing pipe distribution, represented by the standard deviation and shape of the distribution; constructing an initial analysis model based on initial condition data, the radial movement parameter, the position parameter and the distribution parameter, the initial condition data including sample tube body data and sample soil body data; and The initial analysis model is trained using a genetic algorithm, the sample data and labels corresponding to the sample data to obtain a target analysis model.

2. The method according to claim 1, characterized in that The soil data also includes mechanical data and freezing curtain data, and the pipe data includes the number of pipes and the size of pipes; The soil body data, the pipe body data and the engineering data are input into a target analysis model, and an arrangement scheme corresponding to the frozen pipes is output, including: The seepage data, the salinity data, the mechanical data, the freezing curtain data, the number of pipes, the pipe size and the engineering data are input into a target analysis model, and the position result and the angle result are output.

3. The method according to claim 2, characterized in that The freezing pipe includes a plurality of; The soil body data, the pipe body data and the engineering data are input into a target analysis model, and an arrangement scheme corresponding to the frozen pipes is output, including: Determining probability values ​​of distribution angles of the plurality of freezing pipes using an angle distribution strategy; and The tube body data and the probability value are input into the angle analysis model, and the angle result is output, wherein the angle result represents the angle difference between two adjacent tube bodies in the plurality of freezing tubes.

4. The method according to claim 3, characterized in that The engineering data includes the engineering radius, and the pipe body data also includes the angle result; Inputting the soil data, the pipe data and the engineering data into the target analysis model, and outputting the arrangement scheme corresponding to the frozen pipes, further comprising: Inputting the engineering radius and the angle result into the position analysis model, and outputting a first displacement result and a second displacement result; as well as The position result is determined based on the first displacement result, the second displacement result, the engineering radius and the angle result.

5. The method according to claim 4, characterized in that The method further comprises: Comparing the angle result with a preset angle threshold to generate an angle comparison result; and A target position analysis model is determined from the multiple position analysis models based on the comparison result.

6. The method according to claim 5, characterized in that Determining a target position analysis model from a plurality of position analysis models based on the comparison result includes: In a case where the comparison result indicates that the angle result is less than or equal to the preset angle threshold, determining a first position analysis model from the plurality of position analysis models as the target position analysis model, the first position analysis model being used to analyze the position result of the freezing pipe on the upstream side of the seepage direction in the project; and When the comparison result indicates that the angle result is greater than the preset angle threshold, a second position analysis model is determined as the target position analysis model from the multiple position analysis models, and the second position analysis model is used to analyze the position result of the freezing pipe on the downstream side of the seepage direction in the project.

7. The method according to claim 1, characterized in that The method further comprises: The temperature field distribution data is obtained by using the sample tube body data and the sample soil body data. The temperature field distribution data is associated with the seepage data and the salt data.

8. The method according to claim 1, characterized in that The method further comprises: Acquire temperature data and thickness data of the frozen soil through monitoring points corresponding to the freezing pipes to obtain monitoring results; If it is determined that the monitoring result indicates that the frozen soil is a risky soil, generating an alarm message; and The alarm information is sent to the terminal device.

9. The method according to claim 1, characterized in that: The initial analysis model includes an initial angle analysis model and an initial position analysis model; Constructing an initial analysis model based on the initial condition data, the radial movement parameter, the position parameter and the distribution parameter, comprising: Constructing the initial angle analysis model using the initial condition data, the position parameters and the distribution parameters; Determining the angle difference between the sample tubes based on the initial angle analysis model; and The initial position analysis model is constructed based on the angle difference, the initial condition data and the radial movement parameter.

10. A freezing pipe arrangement device based on the coupling effect of seepage and salinity, characterized in that: The device comprises: A data acquisition module is used to acquire soil data, pipe data and engineering data corresponding to the project, wherein the soil data includes seepage data, salinity data and mechanical data, wherein the mechanical data characterizes the physical and mechanical parameters of the soil, including brine density and brine specific heat capacity, and the engineering data includes the radius of the project; A scheme output module is used to input the soil data, the pipe data and the project data into the target analysis model, and output an arrangement scheme corresponding to the freezing pipe, wherein the arrangement scheme represents the arrangement results of the freezing pipe in the project, including position results and angle results, the freezing pipe is used to generate a frozen soil body within a preset range in the project, the target analysis model includes an angle analysis model and a position analysis model, the angle result represents the angle difference between adjacent pipes in a plurality of the freezing pipes, the position result is determined based on the project radius, the angle result, the first displacement result and the second displacement result, and the first displacement result and the second displacement result are output by the position analysis model; The target analysis model is trained by the following operations: Determine the initial pipe body parameters using sample data, wherein the initial pipe body parameters include radial movement parameters, position parameters and distribution parameters, the radial movement parameters characterize the initial movement distance of the freezing pipe in different directions of groundwater, including the initial radial movement parameters of the upstream side of the groundwater seepage and the initial radial movement parameters of the downstream side, the position parameters characterize the central position of the freezing pipe distribution, represented by the distribution mean, and the distribution parameters characterize the dispersion of the freezing pipe distribution, represented by the standard deviation and shape of the distribution; constructing an initial analysis model based on initial condition data, the radial movement parameter, the position parameter and the distribution parameter, the initial condition data including sample tube body data and sample soil body data; and The initial analysis model is trained using a genetic algorithm, the sample data and labels corresponding to the sample data to obtain a target analysis model.

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