A method for predicting and controlling assembly errors of pile-slab bridge structures

Abstract

The present invention provides a method for predicting and controlling the assembly error of a pile-slab bridge structure, including: determining a plurality of assembly positions of an ideal pile-slab bridge structure and corresponding prescribed load-bearing characteristics according to a current assembly task, constructing an external environment model of the current assembly environment, analyzing the environmental impact characteristics of the current assembly environment on each assembly position, predicting a plurality of assembly negative impact characteristics of the current assembly result, establishing assembly error information of the current assembly task, constructing a current assembly model of the current assembly task, performing simulated assembly adjustment on the current assembly model, obtaining an error correction plan for the current assembly task, sampling and surveying the assembly area before formal assembly, and then analyzing various errors that may occur during the current assembly, and formulating corresponding correction plans for each error, thereby achieving the purpose of early prediction and early control and improving the efficiency of assembly work.

Description

Technical Field

[0001] The invention relates to the technical field of error prediction analysis and control, and in particular to a method for predicting and controlling assembly errors of a pile-slab bridge structure. Background Art

[0002] The sheet pile structure refers to the reinforced concrete pile foundation at the bottom of the sheet pile structure roadbed, the roadbed and the reinforced concrete bearing plate at the top. The sheet piles are fixed and together with the roadbed soil form a bearing structure. It is mainly suitable for the reinforcement of soft foundations in special areas such as low embankments and cuttings with complex engineering geological conditions in the newly built passenger dedicated line ballastless track railway, as well as short roadbeds between two bridges (tunnels), turnout area roadbeds, etc. It can also be used for the reinforcement of existing embankments. In recent years, with the urgent need for green highway construction in various regions of my country, more and more new prefabricated pile-slab bridge structures are being continuously promoted. However, due to the influence of environmental factors such as terrain, soil moisture, and air humidity in different regions on the assembly process and assembly results, at present, only the assembly defects at each stage can be screened during the assembly process, and then the corresponding error control can be carried out during the actual assembly process. Although the quality of the finished pile-slab bridge is guaranteed, a lot of time is wasted in the entire assembly process. Sometimes the construction needs to be suspended to correct the error, which seriously affects the assembly efficiency.

[0003] Therefore, the present invention provides a method for predicting and controlling assembly errors of a pile-plank bridge structure. Summary of the invention

[0004] The present invention provides a method for predicting and controlling the assembly errors of a pile-slab bridge structure. Before the formal assembly, a sampling survey is conducted on the assembly area, and then various errors that may occur during this assembly are analyzed. A corresponding correction plan is formulated for each error, thereby achieving the purpose of early prediction and early control and improving the efficiency of the assembly work.

[0005] The present invention provides a method for predicting and controlling assembly errors of a pile-slab bridge structure, comprising:

[0006] Step 1: Determine several assembly positions of the ideal pile-slab bridge structure according to this assembly task, and the prescribed load-bearing characteristics corresponding to each of the assembly positions;

[0007] Step 2: construct an external environment model of the current assembly environment, and use the external environment model to analyze the environmental impact characteristics of the current assembly environment on each of the assembly positions;

[0008] Step 3: predicting several negative assembly impact features of the current assembly result based on the environmental impact features, and establishing assembly error information of the current assembly task;

[0009] Step 4: construct a current assembly model for the current assembly task, use the environmental error information to simulate assembly adjustment on the current assembly model, obtain the error correction plan for the current assembly task and display it.

[0010] In one practicable manner,

[0011] The step 1 comprises:

[0012] Step 11: Obtain and draw the overall structural appearance of the ideal pile-slab bridge structure according to the current assembly task, perform semantic analysis on the current assembly task, obtain several assembly rules of the current assembly task, and mark the assembly position corresponding to each assembly rule in the overall structural appearance;

[0013] Step 12: Obtaining an assembly method and an assembly material corresponding to each assembly position, assembling and combining the assembly materials corresponding to the same assembly position based on the assembly method, and determining a combined local stiffness corresponding to each assembly position according to a material stiffness corresponding to each assembly material;

[0014] Step 13: determining a material deformation threshold of a corresponding assembly position according to the combined local stiffness, marking each material deformation threshold in the overall structure appearance, obtaining deformation association information between different assembly positions, and constructing a load-bearing association feature of the ideal pile-plank bridge structure according to the deformation association information;

[0015] Step 14: Use the load-bearing associated characteristics to perform stiffness correction on the combined local stiffness, obtain the basic load-bearing and load-bearing threshold corresponding to each of the assembly positions, and obtain the specified load-bearing characteristics corresponding to each of the assembly positions.

[0016] In one practicable manner,

[0017] Also includes:

[0018] Establishing a physical force diagram of the ideal pile-plate bridge structure according to the deformation association information;

[0019] In the physical force diagram, several bridge deck force values ​​in the ideal pile-plank bridge structure are determined, and a visual force diagram of the ideal pile-plank bridge structure is established and displayed.

[0020] In one practicable manner,

[0021] The step 2 comprises:

[0022] Step 21: Perform multi-dimensional data sampling on the current assembly environment to obtain soil data, terrain data, humidity data and climate data of the current assembly environment, and establish an external environment model of the current assembly environment based on the soil data, terrain data, humidity data and climate data;

[0023] Step 22: inputting the ideal pile-plank bridge structure into the external environment model for assembly simulation, and obtaining soil fusion characteristics, terrain fusion characteristics, humidity influence characteristics, and climate influence characteristics between the ideal pile-plank bridge structure and the current assembly environment;

[0024] Step 23: marking the first overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the soil fusion feature and the terrain fusion feature, and marking the second overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the humidity impact feature and the climate impact feature;

[0025] Step 24: Obtain the physical force diagram of the ideal pile-plank bridge structure, adjust the physical force diagram of the ideal pile-plank bridge structure based on the first overall influence and the second overall influence, generate an actual force diagram of the ideal pile-plank bridge structure, and determine the environmental impact characteristics corresponding to each of the assembly positions based on the non-overlapping information between the actual force diagram and the physical force diagram.

[0026] In one practicable manner,

[0027] The step 3 comprises:

[0028] Step 31: performing trend analysis on the environmental impact characteristics to obtain the environmental impact law of the current assembly environment on the current assembly result, and using the environmental impact law to analyze the assembly force characteristics and assembly appearance characteristics corresponding to each assembly position in the ideal pile-sheet bridge structure;

[0029] Step 32: when the assembly force characteristic corresponding to the same assembly position is less than the corresponding prescribed load-bearing characteristic, a first negative factor is generated, and the prescribed assembly characteristic corresponding to each assembly position is determined according to the ideal pile-sheet bridge structure; when the assembly appearance characteristic corresponding to the same assembly position is inconsistent with the corresponding prescribed assembly characteristic, a second negative factor is generated, and a negative factor combination corresponding to each assembly position is established;

[0030] Step 33: analyzing the linear relationship of factors of each of the negative factor combinations, determining the factor influence relationship between the first negative factor and the second negative factor corresponding to the same assembly position based on the linear relationship of factors, and generating the assembly negative influence feature corresponding to each of the assembly positions using the factor influence relationship and the environmental influence law;

[0031] Step 34: Counting the first negative factor and the second negative factor in descending order of data, establishing a first negative queue and a second negative queue for the current assembly result, performing Z-score standardization processing on the first negative queue and the second negative queue, respectively, to generate a first standardized data set and a second standardized data set for the current assembly result;

[0032] Step 35: Use the first standardized data set to perform force simulation on the assembly negative impact feature to obtain the force error range of this assembly task, use the second standardized data set to perform appearance simulation on the assembly negative impact feature to obtain the assembly error range of this assembly task, and establish the assembly error information of this assembly task in combination with the force error range.

[0033] In one practicable manner,

[0034] Also includes:

[0035] Establishing a first data distribution axis corresponding to the first standardized data set and a second data distribution axis corresponding to the second standardized data set;

[0036] Determine the overall force influence range of the assembly result according to the first first data and the first last data corresponding to the first data distribution axis;

[0037] Determine the impact range of the assembly offset appearance of the current assembly result according to the second first digit data and the second last digit data corresponding to the second data distribution axis;

[0038] According to the overall force influence range of the assembly and the influence range of the assembly appearance deviation, several key assembly positions of the ideal pile-plate bridge structure are established, and an assembly supervision image is generated and displayed.

[0039] In one practicable manner,

[0040] The step 4 comprises:

[0041] Step 41: using the assembly error information and the ideal pile-plate bridge structure to generate a plurality of error pile-plate bridge structures of this assembly result, and mapping each of the error pile-plate bridge structure and the ideal pile-plate bridge structure to the external environment model to obtain the current assembly model;

[0042] Step 42: marking a plurality of structural difference vectors between each of the error pile-plate bridge structures and the ideal pile-plate bridge structure in the current assembly model, and determining the environmental impact factor corresponding to each of the structural difference vectors using the environmental error information;

[0043] Step 43: dynamically adjusting each of the environmental impact factors in the external environment model to obtain a dynamically adjustable range corresponding to each of the environmental impact factors, and determining a number of directions and values ​​to be adjusted corresponding to each of the error pile-plate bridge structures according to the structural difference vector;

[0044] Step 44: Determine the dynamic adjustable range corresponding to each environmental influencing factor in the current assembly model, use the direction to be adjusted and the value to be adjusted corresponding to each error pile-plate bridge structure to adjust the environmental influencing factor and the current assembly task in the current assembly model, and generate and display the error correction plan for the current assembly task according to the adjustment process corresponding to each error pile-plate bridge structure.

[0045] In one practicable manner,

[0046] The step 44 comprises:

[0047] Step 441: Mark the dynamic adjustable range corresponding to each environmental impact factor in the current assembly model, and determine a number of same-direction adjustable thresholds corresponding to each environmental impact factor and different error pile-plate bridge structures according to a number of directions to be adjusted corresponding to each error pile-plate bridge structure;

[0048] Step 442: Based on the to-be-adjusted value corresponding to each of the same-direction adjustable thresholds, the corresponding environmental impact factor is subjected to limit adjustment to obtain limit adjustment information corresponding to each of the environmental impact factors, and at the same time, the remaining adjustment value between each of the same-direction adjustable thresholds and the corresponding to-be-adjusted value corresponding to the same error pile-plate bridge structure is analyzed;

[0049] Step 443: obtaining the target direction to be adjusted whose remaining adjustment value is not 0, determining the required adjustment information of the current assembly task in combination with the corresponding remaining adjustment value, adjusting the current assembly task according to the required adjustment information, and obtaining the task adjustment information corresponding to each error pile-plate bridge structure;

[0050] Step 444: Count the limit adjustment information and task adjustment information corresponding to each error pile-plate bridge structure to generate the error correction plan for the current assembly task and display it.

[0051] In one practicable manner,

[0052] Also includes:

[0053] When executing the current assembly task, collecting real-time execution data;

[0054] predicting a plurality of real-time assembly error features generated within a specified time period based on the real-time execution data;

[0055] The correction scheme corresponding to the real-time assembly error feature is searched in the error correction scheme and displayed.

[0056] The achievable beneficial effects of the above technical solution are as follows: in order to reduce the impact of the environment on the actual assembly work, before the assembly construction is carried out, several assembly positions of this construction and the specified load-bearing characteristics of each assembly position are first determined, and then the negative impact characteristics of the external environment on the assembly result of this time are analyzed by constructing an external environment model, and the assembly simulation is carried out by constructing this assembly model, and the method of eliminating the negative impact characteristics of the assembly is found by simulation. The error correction plan for this assembly task is generated through simulation, so that the problems that may be encountered in this assembly can be determined before the actual assembly, and solutions are provided for each problem, which can effectively improve the efficiency and quality of the formal assembly, reduce the impact of external environmental factors on the pile-slab bridge structure, and if corresponding error problems are encountered in the actual assembly process, they can be solved in time, which reduces the waiting time of workers and improves the work enthusiasm of workers.

[0057] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 A schematic diagram of the workflow of a method for predicting and controlling assembly errors of a pile-plank bridge structure according to an embodiment of the present invention;

[0061] Figure 2 This is a schematic diagram of the workflow of step 1 of a method for predicting and controlling assembly errors of a pile-plank bridge structure in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0063] Example 1

[0064] This embodiment provides a method for predicting and controlling assembly errors of a pile-slab bridge structure. Figure 1 As shown, including:

[0065] Step 1: Determine several assembly positions of the ideal pile-slab bridge structure according to this assembly task, and the prescribed load-bearing characteristics corresponding to each of the assembly positions;

[0066] Step 2: construct an external environment model of the current assembly environment, and use the external environment model to analyze the environmental impact characteristics of the current assembly environment on each of the assembly positions;

[0067] Step 3: predicting several negative assembly impact features of the current assembly result based on the environmental impact features, and establishing assembly error information of the current assembly task;

[0068] Step 4: construct a current assembly model for the current assembly task, use the environmental error information to simulate assembly adjustment on the current assembly model, obtain the error correction plan for the current assembly task and display it.

[0069] In this example, the ideal pile-slab bridge structure represents the pile-slab bridge structure without error obtained after completing this assembly task;

[0070] In this example, the assembly position refers to the component connection position between two pile-sheet bridge components;

[0071] In this example, the specified load-bearing feature indicates the weight that an assembly position can bear without error;

[0072] In this example, the external environment model represents the result of presenting the execution environment of this assembly work through a model;

[0073] In this example, the negative impact feature of assembly indicates the negative impact of the external environment on the assembly result. Generally speaking, the impact of the external environment on the assembly result is mostly negative, and there is a positive impact in a few cases, for example: the external environment has a supporting effect on the pile-slab bridge structure;

[0074] In this example, the assembly error information indicates the errors that may occur under the influence of the external environment if the original assembly plan (i.e., the current assembly task) is executed for assembly in the current assembly environment;

[0075] In this example, the current assembly model refers to the model that performs the current assembly task in the current environment.

[0076] The working principle and beneficial effects of the above technical solution are as follows: In order to reduce the impact of the environment on the actual assembly work, before the assembly construction is carried out, several assembly positions of this construction and the specified load-bearing characteristics of each assembly position are first determined, and then the negative impact characteristics of the external environment on the assembly result are analyzed by constructing an external environment model, and the assembly simulation is carried out by constructing this assembly model, and the method of eliminating the negative impact characteristics of the assembly is used by simulation. The error correction plan for this assembly task is generated through simulation, so that the problems that may be encountered in this assembly can be determined before the actual assembly, and solutions are provided for each problem, which can effectively improve the efficiency and quality of the formal assembly, reduce the impact of external environmental factors on the pile-slab bridge structure, and if corresponding error problems are encountered in the actual assembly process, they can be solved in time, which reduces the waiting time of workers and improves the work enthusiasm of workers.

[0077] Example 2

[0078] On the basis of Example 1, the method for predicting and controlling assembly errors of a pile-slab bridge structure, the step 1, as Figure 2 As shown, including:

[0079] Step 11: Obtain and draw the overall structural appearance of the ideal pile-slab bridge structure according to the current assembly task, perform semantic analysis on the current assembly task, obtain several assembly rules of the current assembly task, and mark the assembly position corresponding to each assembly rule in the overall structural appearance;

[0080] Step 12: Obtaining an assembly method and an assembly material corresponding to each assembly position, assembling and combining the assembly materials corresponding to the same assembly position based on the assembly method, and determining a combined local stiffness corresponding to each assembly position according to a material stiffness corresponding to each assembly material;

[0081] Step 13: determining a material deformation threshold of a corresponding assembly position according to the combined local stiffness, marking each material deformation threshold in the overall structure appearance, obtaining deformation association information between different assembly positions, and constructing a load-bearing association feature of the ideal pile-plank bridge structure according to the deformation association information;

[0082] Step 14: Use the load-bearing associated characteristics to perform stiffness correction on the combined local stiffness, obtain the basic load-bearing and load-bearing threshold corresponding to each of the assembly positions, and obtain the specified load-bearing characteristics corresponding to each of the assembly positions.

[0083] In this example, the overall structural appearance represents the appearance of an ideal pile-slab bridge structure;

[0084] In this example, semantic analysis refers to the process of analyzing the actual meaning of this assembly task through natural language processing;

[0085] In this example, the assembly rule represents the rule that needs to be followed when executing this assembly task;

[0086] In this example, the assembly method refers to the way in which two parts are combined together;

[0087] In this example, assembly materials refer to materials used for assembly work;

[0088] In this example, the combined local stiffness represents the stiffness present at the assembly location after the assembly work is completed;

[0089] In this example, the material deformation threshold value represents the maximum deformation value of the assembly material at an assembly position;

[0090] In this example, the deformation association information represents the mechanical relationship between two or more assembly positions with interacting forces, for example, when one assembly position is deformed, another assembly position related to it also undergoes a certain deformation;

[0091] In this example, the foundation load means the weight borne by the assembly location itself;

[0092] In this example, the load-bearing threshold represents the maximum weight that an assembly location can bear;

[0093] In this example, the purpose of using the load-bearing associated feature to perform stiffness correction on the combined local stiffness is that the load-bearing associated feature may have a load-bearing effect on different assembly positions, so the load-bearing associated feature is used to analyze the actual value of the local stiffness.

[0094] The working principle and beneficial effects of the above technical solution: Since different pile-plank bridges have different functions, different pile-plank bridges are given different load-bearing requirements in the early stage of design. First, the overall structural appearance of the ideal pile-plank bridge structure of this assembly task is drawn, and then the semantic analysis of this assembly task is performed to obtain several assembly rules for this assembly, and then the assembly position corresponding to each assembly rule is determined in the overall structural appearance, and then the assembly materials are combined at each assembly position according to their corresponding assembly methods, and then the combined local stiffness corresponding to each assembly position is determined, and the material deformation threshold of each assembly position is further analyzed, and the deformation correlation information between different assembly positions is determined. Finally, the prescribed load-bearing characteristics of each assembly position are determined by analyzing the foundation bearing and load-bearing threshold corresponding to each assembly position. In this way, the ideal pile-plank bridge structure can be analyzed as a whole, and considering the influence of the overall structure on some positions, accurate and effective prescribed load-bearing characteristics can be obtained.

[0095] Example 3

[0096] On the basis of Example 2, the method for predicting and controlling assembly errors of a pile-plank bridge structure further includes:

[0097] Establishing a physical force diagram of the ideal pile-plate bridge structure according to the deformation association information;

[0098] In the physical force diagram, several bridge deck force values ​​in the ideal pile-plank bridge structure are determined, and a visual force diagram of the ideal pile-plank bridge structure is established and displayed.

[0099] The working principle and beneficial effects of the above technical solution: a physical force diagram of an ideal pile-plank bridge structure is established, so that management personnel can understand the force conditions of the ideal pile-plank bridge structure, which is convenient for management personnel to make construction decisions.

[0100] Example 4

[0101] On the basis of Example 1, the method for predicting and controlling assembly errors of a pile-plank bridge structure, step 2, comprises:

[0102] Step 21: Perform multi-dimensional data sampling on the current assembly environment to obtain soil data, terrain data, humidity data and climate data of the current assembly environment, and establish an external environment model of the current assembly environment based on the soil data, terrain data, humidity data and climate data;

[0103] Step 22: inputting the ideal pile-plank bridge structure into the external environment model for assembly simulation, and obtaining soil fusion characteristics, terrain fusion characteristics, humidity influence characteristics, and climate influence characteristics between the ideal pile-plank bridge structure and the current assembly environment;

[0104] Step 23: marking the first overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the soil fusion feature and the terrain fusion feature, and marking the second overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the humidity impact feature and the climate impact feature;

[0105] Step 24: Obtain the physical force diagram of the ideal pile-plank bridge structure, adjust the physical force diagram of the ideal pile-plank bridge structure based on the first overall influence and the second overall influence, generate an actual force diagram of the ideal pile-plank bridge structure, and determine the environmental impact characteristics corresponding to each of the assembly positions based on the non-overlapping information between the actual force diagram and the physical force diagram.

[0106] In this example, the multi-dimensional data sampling includes: soil data sampling, terrain data sampling, humidity data sampling and climate data sampling;

[0107] In this example, the soil fusion characteristics represent the characteristics presented after the ideal pile-slab bridge structure is integrated with the soil of the assembly environment. For example, the soil particles of the assembly environment are larger, and the contact area between the ideal pile-slab bridge structure and the soil becomes smaller;

[0108] In this example, the terrain fusion feature represents the feature presented after the ideal pile-slab bridge structure is fused with the terrain of the assembly environment, for example: if the slope of the assembly environment is too large, the slope of the ideal pile-slab bridge structure is too high;

[0109] In this example, the humidity fusion feature represents the feature presented after the ideal pile-slab bridge structure is fused with the humidity of the assembly environment. For example, if the humidity of the assembly environment is too low, cracks will appear on the deck of the ideal pile-slab bridge structure.

[0110] In this example, the climate fusion feature indicates the feature presented after the ideal pile-plank bridge structure is integrated with the climate of the assembly environment. For example, if the assembly environment is in a warm area, moss is likely to appear on the bottom of the ideal pile-plank bridge structure.

[0111] In this example, the first overall impact represents the impact during the construction, and the second overall impact represents the impact after the construction is completed;

[0112] In this example, the non-coincidence information represents the difference between the actual force diagram and the physical force diagram, that is, the influence of environmental factors on the ideal pile-slab bridge structure.

[0113] The working principle and beneficial effects of the above technical solution: Since environmental factors have different impacts on different assembly positions, assembly simulation is performed by constructing an external environment model after data sampling of this assembly environment, and the fusion characteristics between the ideal pile-board bridge structure and different environmental factors are determined, thereby determining the two overall impacts of environmental factors on the assembly work, and further combining the physical force diagram of the ideal pile-board bridge structure to determine the actual force diagram of the environment on the ideal pile-board bridge structure, and finally determining the environmental impact characteristics of each assembly position based on the differences between the two. In this way, all environmental factors can be analyzed simultaneously in a unified manner, thereby determining the environmental impact characteristics corresponding to each assembly position, laying the foundation for subsequent impact elimination work.

[0114] Example 5

[0115] On the basis of Example 1, the method for predicting and controlling assembly errors of a pile-plank bridge structure, step 3, comprises:

[0116] Step 31: performing trend analysis on the environmental impact characteristics to obtain the environmental impact law of the current assembly environment on the current assembly result, and using the environmental impact law to analyze the assembly force characteristics and assembly appearance characteristics corresponding to each assembly position in the ideal pile-sheet bridge structure;

[0117] Step 32: when the assembly force characteristic corresponding to the same assembly position is less than the corresponding prescribed load-bearing characteristic, a first negative factor is generated, and the prescribed assembly characteristic corresponding to each assembly position is determined according to the ideal pile-sheet bridge structure; when the assembly appearance characteristic corresponding to the same assembly position is inconsistent with the corresponding prescribed assembly characteristic, a second negative factor is generated, and a negative factor combination corresponding to each assembly position is established;

[0118] Step 33: analyzing the linear relationship of factors of each of the negative factor combinations, determining the factor influence relationship between the first negative factor and the second negative factor corresponding to the same assembly position based on the linear relationship of factors, and generating the assembly negative influence feature corresponding to each of the assembly positions using the factor influence relationship and the environmental influence law;

[0119] Step 34: Counting the first negative factor and the second negative factor in descending order of data, establishing a first negative queue and a second negative queue for the current assembly result, performing Z-score standardization processing on the first negative queue and the second negative queue, respectively, to generate a first standardized data set and a second standardized data set for the current assembly result;

[0120] Step 35: Use the first standardized data set to perform force simulation on the assembly negative impact feature to obtain the force error range of this assembly task, use the second standardized data set to perform appearance simulation on the assembly negative impact feature to obtain the assembly error range of this assembly task, and establish the assembly error information of this assembly task in combination with the force error range.

[0121] In this example, trend analysis means analyzing the inherent trend of the impact of environmental factors on the ideal pile-slab bridge structure, for example: the greater the soil moisture, the more unstable the ideal pile-slab bridge structure;

[0122] In this example, the assembly force characteristics represent the physical force conditions at the assembly location;

[0123] In this example, the assembly appearance feature represents the feature presented by the appearance of the assembly location;

[0124] In this example, the first negative factor represents a factor generated when the assembly force characteristics of the assembly position are unqualified;

[0125] In this example, the second negative factor represents a factor generated when the appearance of the assembly position is unqualified;

[0126] In this example, the factor linear relationship represents a linear relationship between a first negative factor and a second negative factor in a negative factor combination, for example: the larger the first negative factor, the larger the second negative factor;

[0127] In this example, the Z-score normalization process means converting the first negative queue and the second negative queue into: a queue with a mean of 0 and a standard deviation of 1;

[0128] In this example, the force error range indicates the force error range that would be generated if the assembly task is constructed according to this method.

[0129] In this example, the assembly error range indicates the error range on the assembly appearance that would be produced if the assembly task is constructed according to this task;

[0130] In this example, the first passive queue includes a plurality of first passive factors, and the first passive factors are arranged in descending order;

[0131] In this example, the second passive queue includes a plurality of second passive factors, and the second passive factors are arranged in order from large to small.

[0132] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the trend of environmental impact characteristics, the environmental impact law of this assembly environment on the ideal pile-slab bridge structure is determined, thereby analyzing the assembly force characteristics and assembly appearance characteristics of each assembly position in the ideal pile-slab bridge structure. When the assembly force characteristics or assembly position characteristics do not meet the corresponding requirements, the corresponding negative factors of each assembly position are generated, and then the linear relationship between different negative factor combinations is analyzed. The assembly negative impact characteristics corresponding to each assembly position are determined in combination with the environmental impact law. At the same time, a standardized data set of this assembly result is generated through data sorting and standardization processing. The data set is used to perform force simulation on the assembly negative impact, and the force error range and assembly error range of this assembly task are determined, thereby obtaining the error information of this assembly task. In this way, unqualified assembly positions in the assembly results can be preliminarily screened, and then force simulation is performed on them to determine the existing errors. Finally, the assembly error information of this assembly task is constructed, and the problems existing in this assembly process are listed one by one. When problems are encountered in the actual assembly process, they can be quickly located, thereby improving the efficiency of the actual assembly.

[0133] Example 6

[0134] On the basis of Example 1, the method for predicting and controlling assembly errors of a pile-plank bridge structure further includes:

[0135] Establishing a first data distribution axis corresponding to the first standardized data set and a second data distribution axis corresponding to the second standardized data set;

[0136] Determine the overall force influence range of the assembly result according to the first first data and the first last data corresponding to the first data distribution axis;

[0137] Determine the assembly offset appearance influence range of the current assembly result according to the second first digit data and the second last digit data corresponding to the second data distribution axis;

[0138] According to the overall force influence range of the assembly and the influence range of the assembly appearance deviation, several key assembly positions of the ideal pile-plate bridge structure are established, and an assembly supervision image is generated and displayed.

[0139] In this example, the first first datum represents the first datum in the first data distribution axis, the first last datum represents the last datum in the first data distribution axis, and the same is true for the second first datum and the second last datum;

[0140] In this example, the overall force influence range of the assembly indicates the overall force influence range of the environmental factors on the current assembly result, and the assembly offset appearance influence range indicates the offset angle range of the assembly appearance.

[0141] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the overall force influence and offset appearance influence of the assembly results, the key positions of the assembly process are determined and an assembly supervision image is generated, thereby providing a reference for workers during actual construction.

[0142] Example 7

[0143] Based on Example 1, the method for predicting and controlling assembly errors of a pile-plank bridge structure is characterized in that step 4 comprises:

[0144] Step 41: using the assembly error information and the ideal pile-plate bridge structure to generate a plurality of error pile-plate bridge structures of this assembly result, and mapping each of the error pile-plate bridge structure and the ideal pile-plate bridge structure to the external environment model to obtain the current assembly model;

[0145] Step 42: marking a plurality of structural difference vectors between each of the error pile-plate bridge structures and the ideal pile-plate bridge structure in the current assembly model, and determining the environmental impact factor corresponding to each of the structural difference vectors using the environmental error information;

[0146] Step 43: dynamically adjusting each of the environmental impact factors in the external environment model to obtain a dynamically adjustable range corresponding to each of the environmental impact factors, and determining a number of directions and values ​​to be adjusted corresponding to each of the error pile-plate bridge structures according to the structural difference vector;

[0147] Step 44: Determine the dynamic adjustable range corresponding to each environmental influencing factor in the current assembly model, use the direction to be adjusted and the value to be adjusted corresponding to each error pile-plate bridge structure to adjust the environmental influencing factor and the current assembly task in the current assembly model, and generate and display the error correction plan for the current assembly task according to the adjustment process corresponding to each error pile-plate bridge structure.

[0148] In this example, the error pile-plank bridge structure represents a pile-plank bridge structure containing errors, and an error pile-plank bridge structure may contain one or more non-conflicting errors;

[0149] In this example, the assembly model contains several model layers, and each model layer contains an error pile-plate bridge structure;

[0150] In this example, the next structure vector represents a vector pointing from an error position in the error pile-plate bridge structure to an ideal position of the ideal pile-plate bridge structure;

[0151] In this example, the dynamic adjustable range indicates the changeable range of an environmental factor. For example, if the soil particles in the construction environment are too large, the soil can be ground. Then the particle size range obtained by grinding is the dynamic adjustable range of the soil environmental factor. For another example, if the climate of the construction environment is a cold climate and the climate cannot be adjusted, then the dynamic adjustable range of the climate environmental factor does not exist.

[0152] In this example, the direction to be adjusted indicates the direction that needs to be adjusted when eliminating the error of the error pile-slab bridge structure;

[0153] In this example, the value to be adjusted represents the amount that needs to be adjusted when eliminating the error of the error pile-plate bridge structure.

[0154] The working principle and beneficial effects of the above technical scheme are as follows: the error pile-board bridge structure of this assembly result is constructed by utilizing the assembly error information and the ideal pile-board bridge structure, and the assembly model is constructed. The structural difference vector between the error pile-board bridge structure and the ideal pile-board bridge structure is determined by running the model. Then, the environmental impact factor corresponding to each structural difference vector is determined according to the environmental error information. The dynamic adjustable range of each environmental impact factor is further determined in the external environment model, and the direction and value to be adjusted of each error pile-board bridge structure are determined. The error correction scheme for this assembly task is generated through simulation adjustment. Through model adjustment, multiple errors can be analyzed at the same time, and the process of human calculation can be reduced, thereby improving the accuracy and effectiveness of the error analysis scheme and providing a good technical reference for actual construction.

[0155] Example 8

[0156] On the basis of Example 7, the method for predicting and controlling assembly errors of a pile-plank bridge structure, step 44 comprises:

[0157] Step 441: Mark the dynamic adjustable range corresponding to each environmental impact factor in the current assembly model, and determine a number of same-direction adjustable thresholds corresponding to each environmental impact factor and different error pile-plate bridge structures according to a number of directions to be adjusted corresponding to each error pile-plate bridge structure;

[0158] Step 442: Based on the to-be-adjusted value corresponding to each of the same-direction adjustable thresholds, the corresponding environmental impact factor is subjected to limit adjustment to obtain limit adjustment information corresponding to each of the environmental impact factors, and at the same time, the remaining adjustment value between each of the same-direction adjustable thresholds and the corresponding to-be-adjusted value corresponding to the same error pile-plate bridge structure is analyzed;

[0159] Step 443: obtaining the target direction to be adjusted whose remaining adjustment value is not 0, determining the required adjustment information of the current assembly task in combination with the corresponding remaining adjustment value, adjusting the current assembly task according to the required adjustment information, and obtaining the task adjustment information corresponding to each error pile-plate bridge structure;

[0160] Step 444: Count the limit adjustment information and task adjustment information corresponding to each error pile-plate bridge structure to generate the error correction plan for the current assembly task and display it.

[0161] In this example, the same-direction adjustable threshold value represents the maximum value that the environmental impact factor can be adjusted in the direction to be adjusted;

[0162] In this example, the limit adjustment means that when the adjustable threshold value in the same direction is the same as the value to be adjusted, the corresponding environmental impact factor is adjusted to its adjustable threshold value in the same direction; when the adjustable threshold value in the same direction is less than the value to be adjusted, the corresponding environmental impact factor is adjusted to its adjustable threshold value in the same direction; when the adjustable threshold value in the same direction is greater than the value to be adjusted, the corresponding environmental impact factor is adjusted to the value to be adjusted;

[0163] In this example, the remaining adjustment value represents the value to be adjusted remaining after the environmental impact factor is adjusted to the limit;

[0164] In this example, the task adjustment information indicates that the error pile-slab bridge structure needs to be adjusted;

[0165] In this example, the purpose of extreme adjustment is to make better use of the convenience brought by the external environment. For example, if the slope of the external environment is too large, some supporting legs will be shortened when establishing the ideal pile-slab bridge structure.

[0166] The working principle and beneficial effects of the above technical solution: In order to better eliminate the impact of the external environment on the pile-board bridge structure, and to better utilize environmental conditions and live in ecological balance, first mark the dynamic adjustable range of each environmental influencing factor in this assembly model, determine the direction and value to be adjusted for each error pile-board bridge structure, and then analyze the dynamic adjustable range of each environmental factor, make corresponding adjustments within its range, and then make certain adjustments to the error pile-board bridge structure. Finally, generate an error correction plan for this assembly task. In this way, better utilize environmental resources and bring convenience to construction.

[0167] Example 9

[0168] On the basis of Example 8, the method for predicting and controlling assembly errors of a pile-plank bridge structure further includes:

[0169] When executing the current assembly task, collecting real-time execution data;

[0170] predicting a plurality of real-time assembly error features generated within a specified time period based on the real-time execution data;

[0171] The correction scheme corresponding to the real-time assembly error feature is searched in the error correction scheme and displayed.

[0172] In this example, the prescribed time period is 1 hour.

[0173] The working principle and beneficial effects of the above technical solution are as follows: data is collected during actual construction, and then the errors that may occur in this construction are analyzed, so as to call up the corresponding correction plan for correction.

[0174] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for predicting and controlling assembly errors of a pile-slab bridge structure, characterized in that: include: Step 1: Determine several assembly positions of the ideal pile-slab bridge structure according to this assembly task, and the prescribed load-bearing characteristics corresponding to each of the assembly positions; Step 2: construct an external environment model of the current assembly environment, and use the external environment model to analyze the environmental impact characteristics of the current assembly environment on each of the assembly positions; Step 3: predicting several negative assembly impact features of the current assembly result based on the environmental impact features, and establishing assembly error information of the current assembly task; Step 4: constructing a current assembly model for the current assembly task, using the assembly error information to simulate assembly adjustment on the current assembly model, obtaining an error correction plan for the current assembly task and displaying it; The step 3 comprises: Step 31: performing trend analysis on the environmental impact characteristics to obtain the environmental impact law of the current assembly environment on the current assembly result, and using the environmental impact law to analyze the assembly force characteristics and assembly appearance characteristics corresponding to each assembly position in the ideal pile-sheet bridge structure; Step 32: when the assembly force characteristic corresponding to the same assembly position is less than the corresponding prescribed load-bearing characteristic, a first negative factor is generated, and the prescribed assembly characteristic corresponding to each assembly position is determined according to the ideal pile-sheet bridge structure; when the assembly appearance characteristic corresponding to the same assembly position is inconsistent with the corresponding prescribed assembly characteristic, a second negative factor is generated, and a negative factor combination corresponding to each assembly position is established; Step 33: analyzing the linear relationship of the factors of each of the negative factor combinations, determining the factor influence relationship between the first negative factor and the second negative factor corresponding to the same assembly position based on the linear relationship of the factors, and generating the assembly negative influence feature corresponding to each of the assembly positions using the factor influence relationship and the environmental influence law; Step 34: Counting the first negative factor and the second negative factor in descending order of data, establishing a first negative queue and a second negative queue for the current assembly result, performing Z-score standardization processing on the first negative queue and the second negative queue, respectively, to generate a first standardized data set and a second standardized data set for the current assembly result; Step 35: Use the first standardized data set to perform force simulation on the assembly negative impact feature to obtain the force error range of this assembly task, use the second standardized data set to perform appearance simulation on the assembly negative impact feature to obtain the assembly error range of this assembly task, and establish the assembly error information of this assembly task in combination with the force error range.

2. A method for predicting and controlling assembly errors of a pile-slab bridge structure according to claim 1, characterized in that: The step 1 comprises: Step 11: Obtain and draw the overall structural appearance of the ideal pile-slab bridge structure according to the current assembly task, perform semantic analysis on the current assembly task, obtain several assembly rules of the current assembly task, and mark the assembly position corresponding to each assembly rule in the overall structural appearance; Step 12: Obtaining an assembly method and an assembly material corresponding to each assembly position, assembling and combining the assembly materials corresponding to the same assembly position based on the assembly method, and determining a combined local stiffness corresponding to each assembly position according to a material stiffness corresponding to each assembly material; Step 13: determining a material deformation threshold of a corresponding assembly position according to the combined local stiffness, marking each material deformation threshold in the overall structure appearance, obtaining deformation association information between different assembly positions, and constructing a load-bearing association feature of the ideal pile-plank bridge structure according to the deformation association information; Step 14: Use the load-bearing associated characteristics to perform stiffness correction on the combined local stiffness, obtain the basic load-bearing and load-bearing threshold corresponding to each of the assembly positions, and obtain the specified load-bearing characteristics corresponding to each of the assembly positions.

3. A method for predicting and controlling assembly errors of a pile-slab bridge structure as claimed in claim 2, characterized in that: Also includes: Establishing a physical force diagram of the ideal pile-plate bridge structure according to the deformation association information; In the physical force diagram, several bridge deck force values ​​in the ideal pile-plank bridge structure are determined, and a visual force diagram of the ideal pile-plank bridge structure is established and displayed.

4. The method for predicting and controlling assembly errors of a pile-slab bridge structure according to claim 1, characterized in that: The step 2 comprises: Step 21: Perform multi-dimensional data sampling on the current assembly environment to obtain soil data, terrain data, humidity data and climate data of the current assembly environment, and establish an external environment model of the current assembly environment based on the soil data, terrain data, humidity data and climate data; Step 22: inputting the ideal pile-plank bridge structure into the external environment model for assembly simulation, and obtaining soil fusion characteristics, terrain fusion characteristics, humidity influence characteristics, and climate influence characteristics between the ideal pile-plank bridge structure and the current assembly environment; Step 23: marking the first overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the soil fusion feature and the terrain fusion feature, and marking the second overall impact of the current assembly environment on the ideal pile-plank bridge structure in the ideal pile-plank bridge structure according to the humidity impact feature and the climate impact feature; Step 24: Obtain the physical force diagram of the ideal pile-plank bridge structure, adjust the physical force diagram of the ideal pile-plank bridge structure based on the first overall influence and the second overall influence, generate an actual force diagram of the ideal pile-plank bridge structure, and determine the environmental impact characteristics corresponding to each of the assembly positions based on the non-overlapping information between the actual force diagram and the physical force diagram.

5. The method for predicting and controlling assembly errors of a pile-slab bridge structure according to claim 1, characterized in that: Also includes: Establishing a first data distribution axis corresponding to the first standardized data set and a second data distribution axis corresponding to the second standardized data set; Determine the overall force influence range of the assembly result according to the first first data and the first last data corresponding to the first data distribution axis; Determine the assembly offset appearance influence range of the current assembly result according to the second first digit data and the second last digit data corresponding to the second data distribution axis; According to the overall force influence range of the assembly and the influence range of the assembly appearance deviation, several key assembly positions of the ideal pile-plate bridge structure are established, and an assembly supervision image is generated and displayed.

6. The method for predicting and controlling assembly errors of a pile-slab bridge structure according to claim 1, characterized in that: The step 4 comprises: Step 41: using the assembly error information and the ideal pile-plate bridge structure to generate a plurality of error pile-plate bridge structures of this assembly result, and mapping each of the error pile-plate bridge structure and the ideal pile-plate bridge structure to the external environment model to obtain the current assembly model; Step 42: marking a plurality of structural difference vectors between each of the error pile-plate bridge structures and the ideal pile-plate bridge structure in the current assembly model, and determining the environmental impact factor corresponding to each of the structural difference vectors using the assembly error information; Step 43: dynamically adjusting each of the environmental impact factors in the external environment model to obtain a dynamically adjustable range corresponding to each of the environmental impact factors, and determining a number of directions and values ​​to be adjusted corresponding to each of the error pile-plate bridge structures according to the structural difference vector; Step 44: Determine the dynamic adjustable range corresponding to each environmental influencing factor in the current assembly model, use the direction to be adjusted and the value to be adjusted corresponding to each error pile-plate bridge structure to adjust the environmental influencing factor and the current assembly task in the current assembly model, and generate and display the error correction plan for the current assembly task according to the adjustment process corresponding to each error pile-plate bridge structure.

7. A method for predicting and controlling assembly errors of a pile-slab bridge structure as claimed in claim 6, characterized in that: The step 44 comprises: Step 441: Mark the dynamic adjustable range corresponding to each environmental impact factor in the current assembly model, and determine a number of same-direction adjustable thresholds corresponding to each environmental impact factor and different error pile-plate bridge structures according to a number of directions to be adjusted corresponding to each error pile-plate bridge structure; Step 442: Based on the to-be-adjusted value corresponding to each of the same-direction adjustable thresholds, the corresponding environmental impact factor is subjected to limit adjustment to obtain limit adjustment information corresponding to each of the environmental impact factors, and at the same time, the remaining adjustment value between each of the same-direction adjustable thresholds and the corresponding to-be-adjusted value corresponding to the same error pile-plate bridge structure is analyzed; Step 443: obtaining the target direction to be adjusted whose remaining adjustment value is not 0, determining the required adjustment information of the current assembly task in combination with the corresponding remaining adjustment value, adjusting the current assembly task according to the required adjustment information, and obtaining the task adjustment information corresponding to each error pile-plate bridge structure; Step 444: Count the limit adjustment information and task adjustment information corresponding to each error pile-plate bridge structure to generate the error correction plan for the current assembly task and display it.

8. The method for predicting and controlling assembly errors of a pile-slab bridge structure according to claim 7, characterized in that: Also includes: When executing the current assembly task, collecting real-time execution data; predicting a plurality of real-time assembly error features generated within a specified time period based on the real-time execution data; The correction scheme corresponding to the real-time assembly error feature is searched in the error correction scheme and displayed.

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