Method for determining pipe drawing strategy in concrete pouring, data processing equipment and system

Abstract

The invention discloses a method for determining a pipe drawing strategy in concrete pouring and data processing equipment and system, and relates to the technical field of water conservancy and hydropower engineering construction. According to the method, construction information in concrete pouring can be obtained, the construction information is input into a prediction system, multiple initial pipe drawing strategies output by the prediction system are obtained, and then a target pipe drawing strategy is automatically determined based on the multiple initial pipe drawing strategies. The tube drawing strategy does not need to be determined manually based on working experience, so that the determination efficiency of the tube drawing strategy can be improved. Moreover, according to the method, the target pipe drawing strategy can be determined on the basis of the multiple initial pipe drawing strategies, so that the accuracy and reliability of the determined target pipe drawing strategy can be improved, and high construction quality can be ensured.

Description

Technical Field

[0001] This application relates to the field of water conservancy and hydropower engineering construction technology, and in particular to a method, device and system for determining the pipe pulling strategy during concrete pouring. Background Technology

[0002] In the construction of concrete cut-off walls, the pipe-pulling method can be used to handle the joints of wall sections. The pipe-pulling method requires determining a pipe-pulling strategy and then pulling the pipes according to that strategy. This strategy includes at least the timing of pipe pulling.

[0003] In related technologies, operators can determine the extubation strategy based on their work experience. However, the efficiency of determining the extubation strategy in related technologies is relatively low. Summary of the Invention

[0004] This application provides a method, apparatus, and system for determining pipe-pulling strategies during concrete pouring, which can solve the technical problem of low efficiency in determining pipe-pulling strategies in related technologies. The technical solution is as follows:

[0005] On the one hand, a method for determining the pipe-pulling strategy during concrete pouring is provided, the method comprising:

[0006] The construction information obtained during the concrete pouring process includes: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe.

[0007] The construction information is input into the prediction system to obtain multiple initial pipe pulling strategies output by the prediction system. Each initial pipe pulling strategy includes initial parameter values ​​of at least two of the following: pipe pulling time, pipe pulling force, pipe pulling speed, pipe pulling distance, and the stress and strain of the concrete.

[0008] Based on the multiple initial extubation strategies, a target extubation strategy is determined, which includes: target parameter values ​​for at least two of the extubation parameters.

[0009] Optionally, determining the target extubation strategy based on the plurality of initial extubation strategies includes:

[0010] Based on the aforementioned initial extubation strategies and extubation judgment criteria, the target extubation strategy is determined.

[0011] Optionally, based on the multiple initial extubation strategies and extubation judgment criteria, a target extubation strategy is determined, including:

[0012] For each of the extubation parameters, the initial parameter value that matches the extubation judgment criterion among the initial parameter values ​​of the extubation parameters included in the plurality of initial extubation strategies is determined as the target extubation parameter of the extubation parameter, so as to obtain the target extubation strategy.

[0013] Optionally, the prediction system includes at least two prediction components: a simulation model of the construction behavior of concrete pouring and joint pipe extraction, a pipe extraction prediction model, and a knowledge base; the step of inputting the construction information into the prediction system to obtain the initial pipe extraction strategy output by the prediction system includes:

[0014] The construction information is input into each of the prediction components to obtain an initial pipe-pulling strategy output by each prediction component.

[0015] Optionally, if it is determined that the tube will not be removed temporarily based on the multiple initial extubation strategies, the target extubation strategy includes: target parameter values ​​for each of the extubation parameters, namely, the extubation time, the extubation force, the extubation speed, and the extubation distance.

[0016] When determining the current extubation start based on the multiple initial extubation strategies, the target extubation strategy includes: target parameter values ​​for each of the extubation parameters, namely the extubation force, the extubation speed, and the extubation distance.

[0017] Optionally, the method further includes:

[0018] The tube removal device is controlled to remove the tube based on the target tube removal strategy.

[0019] Optionally, obtain construction information during the concrete pouring process, including:

[0020] Real-time acquisition of construction information during the concrete pouring process;

[0021] Based on the aforementioned multiple initial extubation strategies, a target extubation strategy is determined, including:

[0022] Based on the multiple initial extubation strategies, the target extubation strategy is determined in real time.

[0023] On the other hand, a data processing device is provided, characterized in that the data processing device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the method for determining the pipe-pulling strategy in concrete pouring as described above.

[0024] In another aspect, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method for determining the pipe-pulling strategy during concrete pouring as described above.

[0025] In another aspect, a computer program product is provided, the computer program product comprising a computer program or computer instructions, which, when executed by a processor, implement the method for determining the pipe-pulling strategy during concrete pouring as described above.

[0026] In another aspect, a data processing system is provided, characterized in that the system includes: a sensing device, a data transmission device, and a data processing device as described above;

[0027] The sensing device is connected to the data processing device through the data transmission device.

[0028] The beneficial effects of the technical method provided in this application may include:

[0029] This application provides a method, data processing equipment, and system for determining pipe-pulling strategies during concrete pouring. The method acquires construction information during concrete pouring and inputs this information into a prediction system to obtain multiple initial pipe-pulling strategies output by the prediction system. Then, based on these initial strategies, a target pipe-pulling strategy is automatically determined. Since manual determination of the pipe-pulling strategy based on work experience is eliminated, the efficiency of strategy determination is improved. Furthermore, because this method can determine the target pipe-pulling strategy based on multiple initial strategies, the accuracy and reliability of the determined target pipe-pulling strategy are improved, thereby ensuring high construction quality.

[0030] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0031] Figure 1 This is a flowchart illustrating a method for determining a pipe-pulling strategy during concrete pouring, as provided in an embodiment of this application.

[0032] Figure 2 This is a flowchart of another method for determining the pipe-pulling strategy during concrete pouring, provided in an embodiment of this application.

[0033] Figure 3 This is a schematic diagram of the structure of a device for determining a pipe-pulling strategy during concrete pouring, provided in an embodiment of this application.

[0034] Figure 4 This is a schematic diagram of the structure of a data processing device provided in an embodiment of this application;

[0035] Figure 5 This is a schematic diagram of the structure of a data processing system provided in an embodiment of this application;

[0036] Figure 6This is a schematic diagram of another data processing system provided in an embodiment of this application. Detailed Implementation

[0037] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0038] This application provides a method for determining a pipe-pulling strategy during concrete pouring, which is applied to a data processing device. See also... Figure 1 The method includes:

[0039] Step 101: Obtain construction information during the concrete pouring process.

[0040] During the construction of cutoff walls or similar projects (such as deep foundation pit projects), once concrete pouring begins, data processing equipment can acquire key construction information during the concrete pouring process. This information includes: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe. This initial pull-out force refers to the pull-out force recorded by the pipe-pulling equipment during the upward target distance pull-out operation before the joint pipe is officially pulled out. This target distance is less than a distance threshold, meaning the target distance is relatively small; this distance threshold can be pre-stored by the data processing equipment. "Upward" refers to the direction away from the ground. In other words, this initial pull-out force is the pull-out force during the slight movement of the joint pipe.

[0041] Step 102: Input the construction information into the prediction system to obtain multiple initial pipe pulling strategies output by the prediction system.

[0042] Each initial tube extraction strategy includes initial parameter values ​​for at least two of the following: extraction time, extraction force, extraction speed, extraction distance, and concrete stress-strain. The prediction system is pre-deployed within the data processing equipment.

[0043] In this embodiment, the prediction system includes at least two prediction components: a simulation model of the construction behavior of concrete pouring and joint pipe extraction, a pipe extraction prediction model, and a knowledge base. A data processing device can input construction information into each prediction component to obtain an initial pipe extraction strategy output by each prediction component.

[0044] The simulation model uses mechanism-driven prediction to output an initial pipe-pulling strategy, the pipe-pulling prediction model uses data-driven prediction to output an initial pipe-pulling strategy, and the knowledge base uses knowledge-driven reasoning to output an initial pipe-pulling strategy. Therefore, any two prediction components process construction information in different ways to obtain the initial pipe-pulling strategy. This allows for complementarity to a certain extent, improving the accuracy of the determined target pipe-pulling strategy.

[0045] Step 103: Determine the target extubation strategy based on multiple initial extubation strategies.

[0046] The target extubation strategy includes target parameter values ​​for at least two of the following extubation parameters: extubation time, extubation force, extubation speed, and extubation distance. For example, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation time, extubation force, extubation speed, and extubation distance.

[0047] Alternatively, if the goal is to temporarily postpone extubation based on multiple initial extubation strategies, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation time, extubation force, extubation speed, and extubation distance. If the goal is to begin extubation based on multiple initial extubation strategies, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation force, extubation speed, and extubation distance.

[0048] In this embodiment of the application, the data processing device can determine the target tube removal strategy in the following manner:

[0049] In one alternative implementation, the data processing device pre-stores extubation judgment criteria. Based on these criteria and multiple initial extubation strategies, the data processing device determines the target extubation strategy.

[0050] In another alternative implementation, for any extubation parameter, the data processing device can perform a weighted summation of the initial parameter values ​​of that extubation parameter in multiple initial extubation strategies, and determine the weighted summation result as the target parameter value of that extubation parameter, thereby obtaining the target extubation strategy. The weight of the initial parameter value of each extubation parameter can be pre-stored by the data processing device, and this weight can be positively correlated with the prediction accuracy of the prediction component that outputs the initial parameter value of that extubation parameter.

[0051] As described above, the data processing equipment can determine the target extubation strategy by integrating multiple initial extubation strategies output from simulation models, extubation prediction models, and knowledge bases. This fully leverages the advantages of mechanism-driven, data-driven, and knowledge-driven approaches, achieving more accurate prediction and decision-making through multidimensional analysis, and improving the accuracy of target extubation strategy determination.

[0052] In summary, this application provides a method for determining a pipe-pulling strategy during concrete pouring. This method acquires construction information during concrete pouring and inputs this information into a prediction system to obtain multiple initial pipe-pulling strategies output by the prediction system. Then, based on these initial strategies, a target pipe-pulling strategy is automatically determined. Since manual determination of the pipe-pulling strategy based on work experience is eliminated, the efficiency of strategy determination is improved. Furthermore, because this method can determine the target pipe-pulling strategy based on multiple initial strategies, the accuracy and reliability of the determined target pipe-pulling strategy are improved, thereby ensuring high construction quality.

[0053] This application embodiment uses the determination of a target pipe-pulling strategy based on pipe-pulling judgment criteria and multiple initial pipe-pulling strategies as an example to exemplify the method for determining the pipe-pulling strategy during concrete pouring provided in this application embodiment. See also Figure 2 The method may include:

[0054] Step 201: Obtain construction information during the concrete pouring process.

[0055] During the construction of cutoff walls or similar projects (such as deep foundation pit projects), once the concrete pouring for each section begins, the data processing equipment can acquire key construction information about the concrete pouring process. This information includes: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe. The volume of concrete poured refers to the volume of concrete already poured into that section. The pouring height refers to the elevation of the top surface of the concrete formed within that section.

[0056] The pouring time includes the moment when the first layer of concrete in the trench section begins to be poured, and the moment when each layer of concrete already poured in the trench section is poured. The pouring speed refers to the increase in the height of the concrete poured per unit time in the trench section. The initial pull-out force of the joint pipe refers to the pull-out force recorded by the pipe-pulling equipment during the upward target distance pull-out operation performed before the joint pipe is officially pulled out. This target distance is less than a distance threshold, i.e., the target distance is small; this distance threshold can be pre-stored by the data processing equipment. "Upward" refers to the direction away from the ground. Therefore, the initial pull-out force is the pull-out force during the slight movement of the joint pipe.

[0057] In this embodiment, a sensing device can be installed within the trench section. This sensing device can be connected to a data processing device via a data transmission device. The sensing device can detect the pouring volume, pouring height, pouring time, and pouring speed during the concrete pouring process, and can transmit the detected pouring volume, pouring height, pouring time, and pouring speed to the data processing device via the data transmission device. Correspondingly, the data processing device can acquire the pouring volume, pouring height, pouring time, and pouring speed during the concrete pouring process.

[0058] In addition, the data processing equipment can be connected to the pipe-pulling equipment and can receive the initial pipe-pulling force sent by the pipe-pulling equipment. At this point, the data processing equipment can obtain construction information during the concrete construction process.

[0059] Step 202: Input the construction information into the prediction system to obtain multiple initial pipe pulling strategies output by the prediction system.

[0060] Each initial tube extraction strategy includes initial parameter values ​​for at least two of the following: tube extraction time, tube extraction force, tube extraction speed, tube extraction distance, and concrete stress-strain.

[0061] In this embodiment, the prediction system (also known as intelligent pipe-pulling decision-driven system) includes: a simulation model of the construction behavior structure of the cutoff wall pouring and joint pipe pulling, a pipe-pulling prediction model, and at least two prediction components in a knowledge base. For example, the prediction system includes: a simulation model, a pipe-pulling prediction model, and a knowledge base. The data processing device can input the acquired construction information into each of the at least two prediction components to obtain an initial pipe-pulling strategy output by each prediction component, thereby obtaining multiple initial pipe-pulling strategies.

[0062] In this model, any two prediction components process construction information in different ways to obtain the initial pipe-pulling strategy. The simulation model makes predictions using a mechanism-driven approach. Specifically, the simulation model is a mathematical model constructed based on research findings on the early-age behavior evolution of concrete. This simulation model can perform simulation calculations based on construction information and boundary conditions to simulate the dynamic behavior of the cutoff wall pouring and joint pipe pulling, thereby predicting an initial pipe-pulling strategy.

[0063] The initial pipe-pulling strategy can include initial parameter values ​​for various pipe-pulling parameters, such as pipe-pulling force, pipe-pulling time, pipe-pulling distance, and concrete stress-strain. Furthermore, the initial pipe-pulling strategy output by the simulation model can also include parameters characterizing the concrete properties, such as Poisson's ratio and deformation modulus. The boundary conditions can include ambient temperature during pouring, soil parameters (such as the thickness of the overburden layer), and soil characteristics (such as groundwater temperature and elevation).

[0064] The pipe-pulling prediction model uses a data-driven approach. Specifically, the model is trained on multiple historical training datasets and can then predict based on current construction information to arrive at an initial pipe-pulling strategy. This initial strategy may include initial parameter values ​​for each of the pipe-pulling parameters: pulling force, pulling time, and stress / strain. Each set of training data includes sample construction information for an already constructed trench segment, and a sample pipe-pulling strategy determined based on this information. This sample pipe-pulling strategy may include sample parameter values ​​for pulling force, pulling time, and stress / strain.

[0065] Optionally, the extubation prediction model can be a machine learning model (such as a linear regression model, decision tree, neural network model, etc.) or a deep learning model (such as a convolutional neural network model).

[0066] The knowledge base employs a knowledge-driven reasoning approach. Specifically, it leverages rules and structured information from expert knowledge bases and engineering experience bases, using fuzzy logic algorithms to query and reason based on construction information, thereby outputting an initial pipe-pulling strategy. This initial strategy can include initial parameter values ​​for each pipe-pulling parameter among pipe-pulling time, pipe-pulling force, pipe-pulling speed, and pipe-pulling distance.

[0067] These rules and structured information are derived from the quantification and evaluation of existing pipe-pulling construction experience by experts, as well as data from pipe-pulling processes in cutoff wall projects and similar projects. Existing pipe-pulling construction experience includes: the time after each layer of concrete is poured in the cutoff wall trench that allows for pipe extraction; the relationship between the changing trend of the extraction force during minor movements of the joint pipe and the extraction force; and the distance and speed of each extraction.

[0068] It is understandable that for any extubation parameter, the initial parameter value of that extubation parameter may be the same or different in any two initial extubation strategies. For example, as the extubation prediction model is continuously optimized, the initial parameter value of the extubation parameter output by the extubation prediction model may be the same as the initial parameter value determined based on the knowledge base.

[0069] Step 203: Determine the target extubation strategy based on multiple initial extubation strategies and extubation judgment criteria.

[0070] Since the various prediction components process construction information in different ways to obtain the initial pipe pulling strategy, using multiple initial pipe pulling strategies as a multidimensional basis for determining the target pipe pulling strategy can achieve complementarity of parameter values ​​to a certain extent, thereby improving the intelligence level and decision-making ability of the data processing equipment.

[0071] In this embodiment, the target tube removal strategy includes target parameter values ​​for at least two of the following: tube removal time, tube removal force, tube removal speed, and tube removal distance. Tube removal time refers to the time at which tube removal begins. Tube removal force refers to the force required by the tube removal equipment to pull the connector tube to a specified height during the removal process. Tube removal distance refers to the distance the bottom of the connector tube moves upward as the tube removal equipment pulls the connector tube upward. Tube removal speed refers to the distance the bottom of the connector tube moves upward per unit time as the tube removal equipment pulls the connector tube upward.

[0072] For example, when determining not to extubate based on multiple initial extubation strategies, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation time, extubation force, extubation speed, and extubation distance. When determining to begin extubation based on multiple initial extubation strategies, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation force, extubation speed, and extubation distance. Alternatively, regardless of whether extubation has begun, the target extubation strategy may include target parameter values ​​for each of the following extubation parameters: extubation time, extubation force, extubation speed, and extubation distance.

[0073] In this embodiment, the data processing device can determine whether pipe pulling can begin based on the initial parameter values ​​of the pulling force in multiple initial pipe pulling strategies. If the data processing device determines that the difference between at least one of the initial parameter values ​​of the pulling force and the maximum allowable pulling force of the pipe pulling device under the safety factor is less than a first difference threshold (i.e., at least one initial parameter value is close to the maximum allowable pulling force), the data processing device can determine that pipe pulling can begin immediately. If the data processing device determines that the difference between each of the initial parameter values ​​of the pulling force and the maximum allowable pulling force is greater than the first difference threshold, it can determine that the concrete can solidify for a longer period of time, and therefore, it can determine that pipe pulling can be temporarily postponed. The first difference threshold can be pre-stored by the data processing device, for example, it can be 20 tons (t).

[0074] Optionally, the target extubation strategy can be one of multiple initial extubation strategies. Alternatively, the target extubation strategy can be obtained by integrating multiple initial extubation strategies. Specifically, the target parameter values ​​of at least two extubation parameters included in the target extubation strategy can be derived from different initial extubation strategies. For example, the target parameter value of one extubation parameter can be the initial parameter value of that extubation parameter in one initial extubation strategy. The target parameter value of another extubation parameter can be the initial parameter value of that extubation parameter in another initial extubation strategy.

[0075] In this embodiment of the application, taking the example that the target tube removal strategy includes target parameter values ​​for each of the following tube removal parameters—tube removal time, tube removal force, tube removal speed, and tube removal distance—regardless of whether tube removal can begin at present, the process of the data processing device executing step 203 is illustrated as follows:

[0076] For each extubation parameter, the data processing device can determine the target parameter value of the extubation parameter as the initial parameter value that matches the extubation judgment criterion among the initial parameter values ​​of the extubation parameter included in multiple initial extubation strategies, thereby obtaining the target extubation strategy.

[0077] The pipe-pulling judgment criterion is a set of standard rules used to determine whether the initial parameter values ​​of multiple pipe-pulling parameters can be used as target parameter values. This criterion includes: the maximum allowable pulling force considering a safety factor, and the maximum allowable stress-strain value considering a safety factor. The maximum allowable pulling force is determined based on the pulling capacity of the pipe-pulling equipment. For example, the maximum allowable pulling force is the quotient of the maximum pulling force of the pipe-pulling equipment and the safety factor. The allowable stress-strain value is determined based on indoor experimental results of concrete. The safety factor can be pre-stored in the data processing equipment.

[0078] In one alternative implementation, the data processing device pre-stores an analysis and decision model. The data processing device can input multiple initial extubation strategies and extubation judgment criteria into the analysis and decision model to obtain the target extubation strategy output by the analysis and decision model.

[0079] Before inputting multiple initial extubation strategies into the analysis model, the data processing device can acquire multiple second training data sets and train the model using these second training data sets to obtain the analysis and decision model. Each second training data set may include: multiple sample extubation strategies, sample judgment criteria, and an expected extubation strategy determined based on the multiple sample extubation strategies. Each sample extubation strategy is determined by a prediction component described above.

[0080] In another alternative implementation, for the tube pulling force, the data processing device can determine the initial parameter value that is less than the maximum allowable pulling force and has the smallest difference from the maximum allowable pulling force as the initial parameter value that matches the maximum allowable pulling force in the tube pulling judgment criterion.

[0081] When the target extubation strategy is one of multiple initial extubation strategies, the data processing device can determine the initial parameter values ​​of each extubation parameter in the initial extubation strategy containing the target parameter value of the extubation force, such as the extubation time, extubation speed, and extubation distance, as the initial parameter values ​​that match the extubation judgment criteria.

[0082] When the target pipe-pulling strategy is derived from the integration of multiple initial pipe-pulling strategies, the change in concrete stress-strain is positively correlated with the pipe-pulling speed. That is, excessively high pipe-pulling speeds result in significant changes in concrete stress-strain. Therefore, the data processing equipment can identify the initial parameter value among multiple initial stress-strain values ​​that is less than the maximum allowable stress-strain value and has the smallest difference from it as the target stress-strain parameter value. Then, the data processing equipment can determine the initial parameter value of the pipe-pulling speed within the initial pipe-pulling strategy containing this target stress-strain parameter value as the initial parameter value of the pipe-pulling speed that matches the maximum allowable stress-strain value in the pipe-pulling judgment criterion.

[0083] Regarding the extubation distance, the data processing device can determine the initial parameter value that matches the extubation judgment criterion by weighting the initial parameter values ​​of the extubation distance from multiple initial extubation strategies. Alternatively, the data processing device can determine the minimum initial parameter value of the extubation distance from multiple initial extubation strategies as the initial parameter value that matches the extubation judgment criterion.

[0084] The timing of pipe extraction affects the friction between the joint pipe and the concrete, which in turn affects the extraction force. Therefore, regarding the extraction time, the data processing equipment can obtain the initial parameter value of the extraction time within the initial extraction strategy, which matches the target parameter value of the extraction force. Thus, the data processing equipment can determine this initial parameter value of the extraction time as the initial parameter value that matches the extraction judgment criterion. At this point, the data processing equipment can obtain the target extraction strategy.

[0085] Step 204: Control the tube removal equipment to remove the tube based on the target tube removal strategy.

[0086] After obtaining the target tube removal strategy, the data processing device can send the target tube removal strategy to the tube removal device through the data transmission device, so that the tube removal device can remove the tube based on the target tube removal strategy.

[0087] In this embodiment of the application, during the pipe pulling process, the data processing device can dynamically update the pipe pulling parameters (such as the pipe pulling force) so that the updated pipe pulling parameters are more compatible with the current construction information, thereby achieving more precise pipe pulling control.

[0088] In one alternative implementation, the data processing device can update the pipe-pulling parameters in real time. Specifically, as pipe pulling progresses, construction information changes. Therefore, the data processing device can execute steps 201 to 204 in real time to achieve the effect of dynamically updating the pipe-pulling parameters during the pipe-pulling process. That is, the data processing device can acquire construction information during the concrete pouring process in real time, and based on the real-time acquired construction information, acquire multiple initial pipe-pulling strategies in real time, and based on the multiple initial pipe-pulling strategies acquired in real time, determine the target pipe-pulling strategy in real time.

[0089] In another optional implementation, during the pipe extraction process, the data processing device can acquire pipe extraction information. This information may include real-time parameters of the extraction speed and the stress-strain parameters of the concrete. The data processing device can detect whether the difference between the real-time extraction speed parameter and the target extraction speed parameter is greater than a second difference threshold, and whether the difference between the real-time stress-strain parameter and the target stress-strain parameter is greater than a third difference threshold. If the data processing device determines that the difference between the real-time extraction speed parameter and the target parameter is greater than the second difference threshold, and / or that the difference between the real-time stress-strain parameter and the target parameter is greater than the third difference threshold, it can update the extraction parameters. Both the second and third difference thresholds can be pre-stored by the data processing device.

[0090] For example, if the real-time parameter value of the tube extraction speed is greater than the target parameter value by a second difference threshold, and / or the real-time parameter value of stress and strain is greater than the target parameter value by a third difference threshold, the data processing device can reduce the tube extraction force to update the tube extraction parameters. If the real-time parameter value of the tube extraction speed is less than the target parameter value by a second difference threshold, and / or the real-time parameter value of stress and strain is less than the target parameter value by a third difference threshold, the data processing device can increase the tube extraction force to update the tube extraction parameters.

[0091] Optionally, the prediction system in this embodiment can be trained by a data processing device. Alternatively, the data processing device can be connected to a decision-feedback device via a data transmission device. This decision-feedback device can be used to train the prediction system and send the trained prediction system to the data processing device. Optionally, the decision-feedback device can be deployed in the cloud.

[0092] Optionally, taking the prediction system trained by the decision-feedback device as an example, after the control device for pulling the tube performs the pulling operation, the data processing device can send the pulling information to the decision-feedback device. The decision-feedback device can then enrich and adjust the prediction components in the prediction system based on the comparative analysis results of the pulling information and the target pulling strategy, thereby improving the prediction accuracy of the prediction components.

[0093] For example, the decision-making control equipment can adjust the boundary conditions in the simulation model based on the comparative analysis results, so that the formation parameters and formation characteristics in the boundary conditions are closer to the real formation parameters and formation characteristics, thereby improving the prediction accuracy of the simulation model.

[0094] Based on the comparative analysis results, the decision-making and control equipment can adjust the target pipe pulling strategy, and then use the construction information and the adjusted target pipe pulling strategy as new first training data to optimize the pipe pulling prediction model and improve the prediction accuracy of the pipe pulling prediction model.

[0095] In addition, the decision-making and control equipment can also store the construction information and actual pipe pulling parameters used in the pipe pulling process in the knowledge base after the pipe is successfully pulled out, so as to enrich the knowledge base and improve the reasoning accuracy of the knowledge base.

[0096] In this embodiment, after completing one pipe pull, the data processing device can determine whether all pipe pulls within the trench segment are complete. If the data processing device determines that all pipe pulls within the trench segment are complete, the pipe pull construction for this trench segment can be terminated. If the data processing device determines that the pipe pulls within the trench segment are not complete, step 201 is continued until all pipe pulls within the trench segment are complete.

[0097] It is understood that the order of steps in the method for determining the pipe-pulling strategy during concrete pouring provided in the embodiments of this application can be appropriately adjusted, and steps can be added or removed as appropriate. For example, step 204 can be deleted as needed. Any variations that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application, and therefore will not be elaborated further.

[0098] In summary, this application provides a method for determining a pipe-pulling strategy during concrete pouring. This method acquires construction information during concrete pouring and inputs this information into a prediction system to obtain multiple initial pipe-pulling strategies output by the prediction system. Then, based on these initial strategies, a target pipe-pulling strategy is automatically determined. Since manual determination of the pipe-pulling strategy based on work experience is eliminated, the efficiency of strategy determination is improved. Furthermore, because this method can determine the target pipe-pulling strategy based on multiple initial strategies, the accuracy and reliability of the determined target pipe-pulling strategy are improved, thereby ensuring high construction quality.

[0099] This application provides a device for determining the pipe-pulling strategy during concrete pouring, see [link to relevant documentation]. Figure 3 The device 300 includes:

[0100] The first acquisition module 301 is used to acquire construction information during the concrete pouring process. The construction information includes: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe.

[0101] The second acquisition module 302 is used to input construction information into the prediction system and obtain multiple initial pipe pulling strategies output by the prediction system. Each initial pipe pulling strategy includes initial parameter values ​​of at least two pipe pulling parameters among pipe pulling time, pipe pulling force, pipe pulling speed, pipe pulling distance, and concrete stress and strain.

[0102] The determination module 303 is used to determine a target extubation strategy based on multiple initial extubation strategies. The target extubation strategy includes target parameter values ​​for at least two extubation parameters.

[0103] In summary, this application provides a device for determining a pipe-pulling strategy during concrete pouring. This device acquires construction information during concrete pouring and inputs this information into a prediction system to obtain multiple initial pipe-pulling strategies output by the prediction system. Then, based on these multiple initial pipe-pulling strategies, a target pipe-pulling strategy is automatically determined. Since manual determination of the pipe-pulling strategy based on work experience is eliminated, the efficiency of determining the pipe-pulling strategy can be improved. Furthermore, because this device can determine the target pipe-pulling strategy based on multiple initial pipe-pulling strategies, the accuracy and reliability of the determined target pipe-pulling strategy can be improved, thereby ensuring high construction quality.

[0104] This application provides a data processing device, see [link to relevant documentation] Figure 4 The data processing device 100 includes a processor 110. The processor 110 is used for:

[0105] Obtain construction information during the concrete pouring process, including: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe.

[0106] The construction information is input into the prediction system to obtain multiple initial pipe pulling strategies output by the prediction system. Each initial pipe pulling strategy includes initial parameter values ​​of at least two of the following: pipe pulling time, pipe pulling force, pipe pulling speed, pipe pulling distance, and concrete stress and strain.

[0107] Based on multiple initial extubation strategies, a target extubation strategy is determined, which includes target parameter values ​​for at least two extubation parameters.

[0108] Optionally, the processor 110 can be used for:

[0109] Based on multiple initial extubation strategies and extubation judgment criteria, the target extubation strategy is determined.

[0110] Optionally, the processor 110 can be used for:

[0111] For each extubation parameter, the initial parameter value that matches the extubation judgment criterion among the initial parameter values ​​of the extubation parameters included in the multiple initial extubation strategies is determined as the target extubation parameter, so as to obtain the target extubation strategy.

[0112] Optionally, the prediction system includes at least two prediction components: a simulation model of the construction behavior of concrete pouring and joint pipe extraction, a pipe extraction prediction model, and a knowledge base. The processor 110 can be used for:

[0113] The construction information is input into each prediction component to obtain an initial pipe-pulling strategy output by each prediction component.

[0114] Optionally, if it is determined that the tube will not be removed for the time being based on multiple initial extubation strategies, the target extubation strategy includes the target parameter values ​​of each extubation parameter among extubation time, extubation force, extubation speed and extubation distance.

[0115] When determining the current extubation start based on multiple initial extubation strategies, the target extubation strategy includes the target parameter values ​​of each extubation parameter among extubation force, extubation speed, and extubation distance.

[0116] Optionally, the processor 110 can also be used for:

[0117] The tube removal is controlled by a target-based tube removal strategy.

[0118] Optionally, the process by which the processor 110 acquires construction information during the concrete pouring process may include: acquiring construction information during the concrete pouring process in real time.

[0119] It can be used for: the process of determining a target extubation strategy based on multiple initial extubation strategies, which may include:

[0120] Based on multiple initial extubation strategies, the target extubation strategy is determined in real time.

[0121] In summary, this application provides a data processing device that can acquire construction information during concrete pouring and input this information into a prediction system to obtain multiple initial pipe-pulling strategies output by the prediction system. Then, based on these multiple initial pipe-pulling strategies, a target pipe-pulling strategy is automatically determined. Since manual determination of the pipe-pulling strategy based on work experience is eliminated, the efficiency of strategy determination can be improved. Furthermore, because this data processing device can determine the target pipe-pulling strategy based on multiple initial pipe-pulling strategies, the accuracy and reliability of the determined target pipe-pulling strategy can be improved, thereby ensuring high construction quality.

[0122] like Figure 4As shown, the data processing device 100 includes a processor 110 and a memory 120. The processor 110 and the memory 120 are connected, for example, via a bus 130. Optionally, the data processing device 100 may also include a transceiver 140. It should be noted that in practical applications, the transceiver 140 is not limited to one, and the structure of this data processing device 100 does not constitute a limitation on the embodiments of this application.

[0123] Processor 110 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 110 may also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0124] Bus 130 may include a pathway for transmitting information between the aforementioned components. Bus 130 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 130 may be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0125] The memory 120 is used to store a computer program corresponding to the method for determining the pipe-pulling strategy in concrete pouring provided in the above embodiments of this application. This computer program is controlled and executed by the processor 110. The processor 110 is used to execute the computer program stored in the memory 120 to implement the content shown in the aforementioned method embodiments.

[0126] The data processing device 100 includes, but is not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), and PMPs (portable multimedia players); fixed terminals such as digital TVs and desktop computers; and servers. The server can be a single server, a server cluster consisting of several servers, or a cloud computing service center. Figure 4 The data processing device 100 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0127] This application provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the method for determining the pipe-pulling strategy during concrete pouring as provided in the above-described method embodiments. For example, Figure 1 or Figure 2 The method shown.

[0128] This application provides a computer program product, which includes a computer program or computer instructions. When executed by a processor, the computer program or computer instructions implement the method for determining the pipe-pulling strategy during concrete pouring as provided in the above-described method embodiments. For example, Figure 1 or Figure 2 The method shown.

[0129] This application provides a system for determining a tube removal strategy, see [link to relevant documentation]. Figure 5 The system includes a sensing device 400, a data transmission device 500, and a data processing device 100. The data processing device 100 can be connected to the sensing device 400 via the data transmission device 500.

[0130] The data processing device 100 can be Figure 4 The data processing equipment shown.

[0131] Optionally, the data transmission device 500 may include a network cable.

[0132] Optional, see Figure 6 The system may also include a decision-making and control device 600. The data processing device 100 may also be connected to the decision-making and control device 600 via a data transmission device 500.

[0133] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0134] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0135] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0136] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0137] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0138] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for determining the pipe-pulling strategy during concrete pouring, characterized in that, The method comprises: The construction information obtained during the concrete pouring process includes: the volume of concrete poured, the pouring height, the pouring time, the pouring speed, and the initial pull-out force of the joint pipe. The construction information is input into the prediction system to obtain multiple initial pipe pulling strategies output by the prediction system. Each initial pipe pulling strategy includes initial parameter values ​​of at least two of the following: pipe pulling time, pipe pulling force, pipe pulling speed, pipe pulling distance, and the stress and strain of the concrete. Based on the multiple initial extubation strategies, a target extubation strategy is determined, which includes: target parameter values ​​for at least two of the extubation parameters.

2. The method according to claim 1, characterized in that, The determination of the target extubation strategy based on the multiple initial extubation strategies includes: Based on the aforementioned initial extubation strategies and extubation judgment criteria, the target extubation strategy is determined.

3. The method according to claim 2, characterized in that, Based on the aforementioned initial extubation strategies and extubation judgment criteria, a target extubation strategy is determined, including: For each of the extubation parameters, the initial parameter value that matches the extubation judgment criterion among the initial parameter values ​​of the extubation parameters included in the plurality of initial extubation strategies is determined as the target extubation parameter of the extubation parameter, so as to obtain the target extubation strategy.

4. The method according to any one of claims 1 to 3, characterized in that, The prediction system includes at least two prediction components: a simulation model of the construction behavior of concrete pouring and joint pipe extraction, a pipe extraction prediction model, and a knowledge base; the step of inputting the construction information into the prediction system to obtain the initial pipe extraction strategy output by the prediction system includes: The construction information is input into each of the prediction components to obtain an initial pipe-pulling strategy output by each prediction component.

5. The method according to any one of claims 1 to 3, characterized in that, When it is determined that the tube will not be removed temporarily based on the multiple initial extubation strategies, the target extubation strategy includes: target parameter values ​​for each of the extubation parameters, namely, the extubation time, the extubation force, the extubation speed, and the extubation distance. When determining the current extubation start based on the multiple initial extubation strategies, the target extubation strategy includes: target parameter values ​​for each of the extubation parameters, namely the extubation force, the extubation speed, and the extubation distance.

6. The method according to any one of claims 1 to 3, characterized in that, The method further includes: The tube removal device is controlled to remove the tube based on the target tube removal strategy.

7. The method according to any one of claims 1 to 3, characterized in that, Obtain construction information during the concrete pouring process, including: Real-time acquisition of construction information during the concrete pouring process; Based on the aforementioned multiple initial extubation strategies, a target extubation strategy is determined, including: Based on the multiple initial extubation strategies, the target extubation strategy is determined in real time.

8. A data processing device, characterized in that, The data processing device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the method as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-7.

10. A data processing system, characterized in that, The system includes: a sensing device, a data transmission device, and a data processing device as described in claim 8; The sensing device is connected to the data processing device through the data transmission device.

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