Adjustable micro-pile-steel mesh collaborative support system

Abstract

The present application relates to geotechnical engineering supporting technical field, disclose adjustable micro pile-steel mesh collaborative supporting system. The system is through the stress sensing unit array is arranged in the micro pile-soil interface and gathers the contact stress spectrum, and the displacement tracking unit is arranged in the steel mesh node and monitors three-dimensional displacement. Based on the spatial correlation of stress spectrum and displacement data, the pile-net-soil interaction topology is constructed. The topology is deduced in real time by using interaction evolution algorithm, and the load transfer chain in the micro pile group and the internal force distribution network of the steel mesh are dynamically identified, and then the overall stress skeleton of the collaborative supporting structure is fused and generated. According to the morphological characteristics of the stress skeleton, the micro pile shaft force adjustment and steel mesh prestress compensation instructions are automatically generated. The system realizes the dynamic perception and intelligent collaborative adjustment of the internal force chain evolution state of the supporting structure, and improves the safety and self-adaptive ability of the supporting system.

Description

Technical Field

[0001] This invention relates to the field of geotechnical engineering support technology, specifically an adjustable micropile-steel mesh collaborative support system. Background Technology

[0002] In geotechnical engineering, the synergistic support system composed of micropiles and steel mesh is widely used for foundation pit and slope reinforcement. Existing technologies typically rely on deploying discrete sensors at key structural points to monitor the stress of the micropiles or the displacement of the structure. These monitoring methods acquire isolated, localized physical quantity data. For the entire support system, the spatial transmission path and dynamic distribution mechanism of forces among the piles, mesh, and soil cannot be directly observed and analyzed. A gap exists between the monitoring data and the actual mechanical state within the structure; the overall safety assessment of the system largely depends on numerical simulations and empirical judgments, lacking direct, global feedback from the actual structure.

[0003] The limitation of existing technologies lies in their inability to construct and visualize the internal spatial mechanical topology of the support system in real time. Discrete data points make it difficult to reconstruct the actual transmission chain of loads within the micropile group, and also fail to depict the true distribution network of internal forces within the steel mesh. This results in a lag in the identification of weak points in the system, making it impossible to provide early warnings when adverse evolution of the mechanical network occurs. Corresponding adjustment measures are often based on macroscopic deformation or experience, lacking precise guidance on the internal force flow state, and are therefore passive responses with insufficient adjustment efficiency and reliability.

[0004] The purpose of this invention is to solve the above-mentioned problems. It requires the ability to perceive and construct the topological diagram of pile-net-soil interaction in real time, dynamically identify the core load transmission chain and internal force distribution network, and generate precise coordinated adjustment commands based on the morphological characteristics of this mechanical skeleton, so as to realize the transformation of the support system from passive bearing to active perception and dynamic optimization. Summary of the Invention

[0005] The purpose of this invention is to provide an adjustable micropile-steel mesh collaborative support system to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides an adjustable micropile-steel mesh collaborative support system, the system comprising:

[0007] The data acquisition module deploys multiple stress sensing units at the interface between the micropile body and the soil between the piles in the support structure. The stress sensing units collect the pile-soil contact stress spectrum in real time. A displacement tracking unit is set at the connection node between the steel mesh and the micropile. The displacement tracking unit continuously monitors the three-dimensional displacement of the node.

[0008] The interaction modeling module constructs a pile-net-soil interaction topology based on the spatial correlation between the pile-soil contact stress spectrum and the three-dimensional displacement of the nodes.

[0009] The stress network identification module uses an interaction evolution algorithm to perform real-time simulation of the pile-net-soil interaction topology, identifying the micropile load transfer chain and the steel mesh internal force distribution network.

[0010] The collaborative skeleton generation module integrates the micropile load transfer chain with the steel mesh internal force distribution network to form an overall load-bearing skeleton for the collaborative support structure.

[0011] The adjustment command generation module automatically generates micro-pile axial force adjustment commands and steel mesh prestress compensation commands based on the morphological characteristics of the overall load-bearing skeleton.

[0012] Preferably, based on the spatial correlation between the pile-soil contact stress spectrum and the three-dimensional displacement of the nodes, a pile-net-soil interaction topology diagram is constructed, including:

[0013] Stress peaks and valleys from multiple time periods are extracted from the continuous pile-soil contact stress spectrum to form a stress time series feature vector;

[0014] The three-dimensional displacement of the node is transformed by coordinate transformation, and the displacement trajectory is mapped to a local coordinate system based on the support surface to generate a sequence of node displacement trajectories.

[0015] Calculate the correlation coefficient between the stress temporal feature vector corresponding to each stress sensing unit and the nodal displacement trajectory sequences generated by the three displacement tracking units with the closest spatial distance to it;

[0016] Using stress sensing units and displacement tracking units as topological nodes and the correlation coefficient as the weight of the topological edges, an initial weighted topological network containing nodes, edges and weights is established.

[0017] In the initial weighted topology network, a continuity constraint of the soil medium is introduced, which requires that the weight changes of the topological edges satisfy a continuous distribution in space;

[0018] The skeleton of the initial weighted topology network that satisfies the continuity constraint is extracted to obtain a simplified topology that reflects the main force transmission paths between the pile, the steel mesh and the soil. The simplified topology is the pile-mesh-soil interaction topology diagram.

[0019] Preferably, the pile-net-soil interaction topology is simulated in real time using an interaction evolution algorithm to identify the micropile load transfer chain and the steel mesh internal force distribution network, including:

[0020] Each topological node in the pile-net-soil interaction topology diagram is assigned an initial state value, which is obtained by normalizing the real-time physical quantities collected by the corresponding sensing unit.

[0021] Define the state evolution rules for topological nodes. The state evolution rules stipulate that the state value of any topological node at the next time step is determined by its current state value, the weights of all topological edges connected to it, and the current state values ​​of its neighboring topological nodes.

[0022] The pile-net-soil interaction topology diagram and the state evolution rules are input into a preset parallel computing unit to perform multiple rounds of state iteration calculations until the rate of change of the state values ​​of all topology nodes is less than a preset threshold. At this point, a stable node state distribution field is obtained.

[0023] From a stable node state distribution field, a sequence of connected nodes whose state values ​​increase along a specific direction is extracted, and the sequence of connected nodes constitutes the load transfer chain of the micropile.

[0024] In the pile-net-soil interaction topology diagram, all topological nodes representing steel mesh connection nodes are selected, and the state gradients between the topological nodes after the state stabilizes are calculated. The nodes are connected according to the strength of the state gradients to form a network, which is the internal force distribution network of the steel mesh.

[0025] Preferably, the micropile load transfer chain is integrated with the steel mesh internal force distribution network to form an overall load-bearing skeleton for the collaborative support structure, including:

[0026] A unified spatial index is established to map the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model;

[0027] Identify nodes in the micropile load transfer chain that overlap with or have a spatial distance less than the tolerance threshold from the steel mesh internal force distribution network, and mark these nodes as fusion nodes.

[0028] For each fusion node, the state value it carries in the load transmission chain and the state value it carries in the internal force distribution network are weighted and synthesized to generate the comprehensive state value of the fusion node. The weighting coefficient is determined by the topological importance of the fusion node in the two force transmission paths.

[0029] Using the fusion node as a hub, the remaining part of the micropile load transfer chain is reconnected with the remaining part of the steel mesh internal force distribution network to ensure the continuity of the force transmission path.

[0030] Redundant paths are pruned on the reassembled network structure, and edges and nodes that contribute less than a preset ratio to the overall force transmission are removed. The resulting simplified three-dimensional network structure is the overall force-bearing skeleton.

[0031] Preferably, a unified spatial index is established to map the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model, including:

[0032] Obtain a pre-constructed three-dimensional digital model of the support structure, which includes the spatial coordinates of all micropiles, the geometry of the steel mesh panel, and the precise location of the connection nodes.

[0033] Each node in the micropile load transfer chain is assigned a three-dimensional coordinate identifier, which is determined by the installation position of its corresponding stress sensing unit in the support structure.

[0034] Each node in the steel mesh internal force distribution network is assigned a three-dimensional coordinate identifier, which is determined by the installation position of its corresponding displacement tracking unit in the support structure.

[0035] Establish a three-dimensional spatial mesh index with the bottom surface of the support structure as the reference plane, and divide the entire support structure space into multiple regular cubic units;

[0036] The three-dimensional coordinate identifiers of each node in the micropile load transfer chain and the three-dimensional coordinate identifiers of each node in the steel mesh internal force distribution network are used to calculate the regular cube element number to which they belong.

[0037] Nodes belonging to the same regular cube element number but from different networks are associated, and their original network affiliation information is recorded to complete the mapping of nodes to the same three-dimensional support structure model.

[0038] Preferably, based on the morphological characteristics of the overall load-bearing skeleton, micro-pile axial force adjustment commands and steel mesh prestressing compensation commands are automatically generated, including:

[0039] Analyze the state values ​​of all edges in the overall load-bearing skeleton, and mark the edges whose state values ​​exceed the threshold corresponding to the allowable stress of the material as overloaded edges;

[0040] By tracing back the upstream and downstream nodes connected to the overloaded edge, the key force transmission path containing the overloaded edge is located in the overall force-bearing skeleton.

[0041] Calculate the state value imbalance of each node on the key force transmission path and identify weak nodes whose state values ​​are significantly lower than those of adjacent nodes;

[0042] For critical force transmission paths containing overloaded edges, an adjustment command is generated, which includes: reducing the output force value of the micropile drive device upstream of the critical force transmission path, or inserting a new micropile in the critical force transmission path to share the load.

[0043] For the identified weak nodes, a compensation instruction is generated, which includes: applying additional prestress to the steel mesh node corresponding to the weak node, or enhancing the connection stiffness between the steel mesh and the micropile at the weak node.

[0044] Preferably, by tracing back the upstream and downstream nodes connected to the overloaded edge, the key force transmission path containing the overloaded edge is located in the overall force-bearing skeleton, including:

[0045] Starting from the two end nodes of each overloaded edge, perform a depth-first traversal upstream and downstream along the topology of the overall load-bearing skeleton;

[0046] During upstream traversal, track the direction of decreasing state value until a node or boundary node with a local minimum state value is encountered, and record this path as the upstream influence path.

[0047] During downstream traversal, track the direction of state value increment or propagation until a node or boundary node with a state value of local maximum is encountered, and record this path as the downstream influence path.

[0048] The overloaded edge itself, its upstream influence path and its downstream influence path are spliced ​​together to form a complete candidate force transmission path;

[0049] Aggregate analysis is performed on multiple candidate force transmission paths. If multiple candidate force transmission paths share more than a certain proportion of the same nodes, the candidate force transmission paths are merged and defined as a critical force transmission path.

[0050] Preferably, the process of calculating the state value imbalance of each node on the critical force transmission path and identifying weak nodes whose state values ​​are significantly lower than those of their neighboring nodes includes:

[0051] Traverse each node on the critical force transmission path and obtain the normalized state value of the node stored in the overall force-bearing skeleton.

[0052] For each non-endpoint node on the path, find its direct predecessor and direct successor nodes on the critical force transmission path, and obtain the normalized state values ​​of these two adjacent nodes.

[0053] Calculate the absolute value of the difference between the current node's state value and the state value of its direct predecessor node, and denot it as the forward difference.

[0054] Calculate the absolute value of the difference between the current node's state value and the state value of its direct successor node, and denot it as the backward difference.

[0055] The local state imbalance of a node is obtained by averaging the forward and backward differences.

[0056] The local state imbalance of all nodes on the key force transmission path is compared with the preset imbalance threshold.

[0057] Nodes whose local state imbalance exceeds a threshold and whose state value is lower than that of their direct predecessor and direct successor nodes are identified as weak nodes whose state values ​​are significantly lower than those of their neighboring nodes.

[0058] Preferably, additional prestress is applied to the steel mesh nodes corresponding to the weak nodes, including:

[0059] Query the precise location and connection relationship of the weak node in the steel mesh geometric model;

[0060] Based on the state gradient of the overall load-bearing skeleton at weak nodes, the theoretical value of prestress required to balance the unbalance is calculated.

[0061] Based on the theoretical value of prestress, the closest tension force level and holding time are matched from the pre-stored control parameter library of steel mesh tensioning equipment;

[0062] A specific tensioning control signal is generated, which specifies the coordinates of the target steel mesh node, the number of the tensioning equipment to be activated, the target tensioning force value, and the timing of the tensioning action.

[0063] Preferably, based on the state gradient of the overall load-bearing skeleton at weak nodes, the theoretical value of prestress required to balance the unbalance is calculated, including:

[0064] In the overall load-bearing skeleton, taking the identified weak nodes as the center, extract all directly connected topological edges;

[0065] Calculate the difference between the state values ​​of the weak node and each of its neighboring nodes, and then divide it by the theoretical length of the corresponding topological edge to obtain the directional state gradient of the weak node pointing to each neighboring node.

[0066] The direction with the largest absolute value of the directional state gradient is selected as the principal gradient direction, and its gradient value is recorded as the principal gradient value.

[0067] Obtain the elastic modulus of the steel mesh material under the design specifications and the equivalent area of ​​the steel mesh cross-section at weak nodes;

[0068] Multiplying the principal gradient value, the elastic modulus of the steel mesh material, and the equivalent area of ​​the steel mesh cross section yields a preliminary force compensation value.

[0069] Based on the topological importance of weak nodes in the force distribution network of the steel mesh, the initial force compensation value is corrected. The higher the importance, the larger the correction coefficient. The final calculated force value is the theoretical prestress value required to balance the unbalance.

[0070] Compared with the prior art, the beneficial effects of the present invention are:

[0071] By collecting continuous contact stress spectra using an array of stress-sensing units deployed at the pile-soil interface and performing spatial correlation analysis with the three-dimensional displacement tracking data of the steel mesh nodes, a topological map of the pile-mesh-soil interaction is constructed. This technology deeply integrates the originally independent stress and displacement field information in a spatial structure, generating a structured model that dynamically reflects the force and deformation transmission paths within the support system. This transforms the complex coupling effects between the pile, mesh, and soil from abstract and difficult-to-quantify concepts into a concrete, real-time observable and analyzable topological network. It overcomes the data isolation drawbacks of traditional monitoring methods, achieving visualization and structured characterization of the internal interaction mechanisms of the support system, and providing an unprecedentedly clear perspective for understanding the system's true working state.

[0072] An interaction evolution algorithm is used to perform real-time simulation of the constructed pile-net-soil interaction topology, dynamically identifying the load transfer chains that actually play a major role in force transmission within the micropile group, as well as the actual internal force distribution network formed within the steel mesh. This process simulates the dynamic transmission and redistribution of forces in the spatial network of the support structure. It not only statically displays the stress framework at a certain moment, but also reveals the evolution trend of the stress network as external loads or soil properties change. This allows for the early identification of key evolutionary features such as the transfer of load concentration paths and the local strengthening or weakening of the internal force distribution network. It achieves a leap from monitoring physical quantities to identifying the essence of stress, and from perceiving the current state to predicting evolutionary trends, enabling the judgment of the stability of the support system to evolve from empirical inference based on surface data to accurate prediction based on the dynamic evolution of internal mechanical mechanisms. Attached Figure Description

[0073] Figure 1 This is a timing diagram of the adjustable micropile-steel mesh collaborative support system described in this invention;

[0074] Figure 2 A flowchart for constructing the pile-net-soil interaction topology;

[0075] Figure 3 A flowchart for forming the overall load-bearing skeleton of the collaborative support structure;

[0076] Figure 4 A diagram showing the shared proportion of candidate force transmission paths in a micropile-steel mesh collaborative support system;

[0077] Figure 5 This is a diagram showing the state analysis of the nodes in the overall stress-bearing skeleton of the micropile-steel mesh collaborative support system. Detailed Implementation

[0078] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0079] Please see Figure 1 This invention provides an adjustable micropile-steel mesh collaborative support system. The system includes: a data acquisition module that uses multiple stress-sensing units at the interface between the micropile and the soil in the support structure to collect the pile-soil contact stress spectrum in real time; and a displacement tracking unit at the connection node between the steel mesh and the micropile to continuously monitor the three-dimensional displacement of the node. An interaction modeling module constructs a pile-mesh-soil interaction topology based on the spatial correlation between the pile-soil contact stress spectrum and the three-dimensional displacement of the node. A force network identification module uses an interaction evolution algorithm to perform real-time deduction of the pile-mesh-soil interaction topology, identifying the micropile load transfer chain and the steel mesh internal force distribution network. A collaborative skeleton generation module merges the micropile load transfer chain and the steel mesh internal force distribution network to form an overall force skeleton for the collaborative support structure. An adjustment command generation module automatically generates micropile axial force adjustment commands and steel mesh prestress compensation commands based on the morphological characteristics of the overall force skeleton.

[0080] In one embodiment of the present invention, see [reference] Figure 2The data acquisition module continuously collects pile-soil contact stress data using stress-sensing units deployed in the support area, while the displacement tracking unit continuously collects three-dimensional displacement data of the connecting nodes. The interaction modeling module extracts stress peak and valley values ​​from the continuous pile-soil contact stress spectrum over multiple preset time periods, forming a set of stress temporal feature vectors characterizing the temporal changes in stress. The coordinate transformation of the node three-dimensional displacements collected by the displacement tracking unit maps the displacement trajectories to a local coordinate system established with the support structure facade as the reference, generating a sequence of node displacement trajectories. The correlation coefficient between the stress temporal feature vector corresponding to each stress-sensing unit and the node displacement trajectory sequences generated by the three displacement tracking units spatially closest to this stress-sensing unit is calculated. Using all stress-sensing units and displacement tracking units as topological nodes, and the calculated correlation coefficients as the weights of the topological edges connecting the corresponding topological nodes, an initial weighted topological network is established, containing topological nodes, topological edges, and topological edge weights. A continuity constraint on the soil medium is introduced into the initial weighted topology network. This constraint requires that the weight difference between any two adjacent topological edges cannot exceed a threshold set based on the physical properties of the soil, thus ensuring a continuous spatial distribution of the weight changes of the topological edges. The initial weighted topology network that satisfies the continuity constraint is then processed using a skeleton extraction algorithm to remove secondary topological edges with weights below the threshold, resulting in a simplified topology reflecting the main force transmission paths between the piles, steel mesh, and soil. This simplified topology is the completed pile-mesh-soil interaction topology diagram.

[0081] In practical implementation, the stress network identification module assigns an initial state value to each topological node in the pile-net-soil interaction topology diagram. The initial state value of a topological node is obtained after normalization based on real-time physical quantities collected by the stress sensing unit or displacement tracking unit corresponding to that topological node. A state evolution rule for the topological nodes is defined, stipulating that in each iteration, the state value of any topological node at the next moment is determined by the current state value of the topological node, the weights of all topological edges connected to that topological node, and the current state values ​​of all topological nodes directly adjacent to that topological node. In some embodiments, the mathematical expression of the state evolution rule can be defined as:

[0082] ;

[0083] in: This represents the state value of topology node i at time t. This represents the set of all topological nodes that are directly adjacent to topological node i. This represents the weight of the topological edge connecting topological node i and topological node j. The state preservation coefficient, The neighborhood influence coefficient is used. The constructed pile-net-soil interaction topology diagram and the defined state evolution rules are input into the system's preset parallel computing unit for multiple rounds of state iteration calculations. The iteration process continues until the absolute value of the rate of change of the state values ​​of all topological nodes in two consecutive iterations is less than a preset convergence threshold. At this point, the system is considered stable, and a stable node state distribution field is output. From the stable node state distribution field, along the micropile depth direction or the main load direction, a sequence of connected topological nodes with monotonically increasing state values ​​is extracted. These connected topological node sequences constitute the identified micropile load transfer chain. Simultaneously, in the pile-net-soil interaction topology diagram, all topological nodes representing the connection between the steel mesh and micropiles are selected. The state value gradient between each pair of these topological nodes after state stabilization is calculated. Based on the strength of the state value gradient, nodes with gradient values ​​greater than a set threshold are connected with edges. The final network structure is the identified steel mesh internal force distribution network.

[0084] In one embodiment of the present invention, see [reference] Figure 3 A unified spatial index is established to map the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model. Nodes in the micropile load transfer chain and the steel mesh internal force distribution network that overlap or whose spatial distance is less than a tolerance threshold are identified and marked as fusion nodes. For each fusion node, its state value in the load transfer chain and its state value in the internal force distribution network are weighted and synthesized to generate a comprehensive state value for the fusion node. The weighting coefficient is determined by the topological importance of the fusion node in the two force transmission paths. Using the fusion node as a hub, the remaining parts of the micropile load transfer chain and the remaining parts of the steel mesh internal force distribution network are reassembled to ensure the continuity of the force transmission paths. Redundant paths are pruned in the reassembled network structure, removing edges and nodes whose contribution to the overall force transmission is less than a preset proportion. The resulting simplified three-dimensional network structure is the overall load-bearing skeleton.

[0085] A pre-constructed 3D digital model of the support structure is obtained, containing the spatial coordinates of all micropiles, the geometry of the steel mesh panels, and the precise locations of the connection nodes. A 3D coordinate identifier is assigned to each node in the micropile load transfer chain, determined by the installation position of its corresponding stress-sensing unit within the support structure. Similarly, a 3D coordinate identifier is assigned to each node in the steel mesh internal force distribution network, determined by the installation position of its corresponding displacement-tracking unit within the support structure. A 3D spatial mesh index is established with the bottom surface of the support structure as the reference plane, dividing the entire support structure space into multiple regular cubic elements. The regular cubic element numbers to which the 3D coordinate identifiers of each node in the micropile load transfer chain and each node in the steel mesh internal force distribution network belong are calculated. Nodes belonging to the same regular cubic element number but from different networks are associated, and their original network affiliation information is recorded, completing the mapping of nodes to the same 3D support structure model.

[0086] The collaborative skeleton generation module performs the operation of establishing a unified spatial index, mapping the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model. It acquires a pre-constructed three-dimensional digital model of the support structure based on surveying and design data. This model includes the spatial coordinates of all micropile bodies, the geometry of the steel mesh panels, and the precise positions of the connecting nodes. Each node in the micropile load transfer chain is assigned a three-dimensional coordinate identifier, determined by the actual installation position of the stress-sensing unit corresponding to that node within the support structure. Similarly, each node in the steel mesh internal force distribution network is assigned a three-dimensional coordinate identifier, determined by the actual installation position of the displacement-tracking unit corresponding to that node within the support structure. A three-dimensional spatial mesh index is established with the bottom surface of the support structure as the reference plane. This index divides the entire spatial area of ​​the support structure into a series of regularly sized cubic elements. The 3D coordinate identifiers of each node in the micropile load transfer chain and the 3D coordinate identifiers of each node in the steel mesh internal force distribution network are used to calculate the corresponding regular cube element numbers. Nodes belonging to the same regular cube element number from both the micropile load transfer chain and the steel mesh internal force distribution network are spatially associated, and their original network affiliation information is recorded, thus completing the mapping of all nodes to the same 3D support structure model.

[0087] In specific implementation, the collaborative skeleton generation module identifies nodes in the micropile load transfer chain and the steel mesh internal force distribution network that overlap or whose spatial distance is less than a preset tolerance threshold, and marks these nodes as fusion nodes. For each fusion node, the state value borne by the fusion node in the micropile load transfer chain and the state value borne by the fusion node in the steel mesh internal force distribution network are weighted and synthesized to generate the comprehensive state value of the fusion node. In some embodiments, the weighting coefficients used for weighted synthesis are determined by the topological importance of the fusion node in the two force transmission paths of the micropile load transfer chain and the steel mesh internal force distribution network. Optionally, topological importance can be measured by the betweenness centrality of the node in the network. (Fusion node comprehensive state value) The calculation can be expressed as:

[0088] ;

[0089] in: This represents the state value of the fusion node in the micropile load transfer chain. This represents the state value of the fusion node in the steel mesh internal force distribution network. and These are the corresponding weighting coefficients, and Weighting coefficients and The value is proportional to the betweenness centrality of the fused node in the corresponding network.

[0090] In practical implementation, all fused nodes serve as connection hubs. The remaining non-fused nodes of the micropile load transfer chain are reconnected with the remaining non-fused nodes of the steel mesh internal force distribution network. During the reconnection process, the connections interrupted by network fusion are checked and reconnected to ensure the continuity of the force transmission path in the overall network. Redundant path pruning is performed on the complete network structure formed after reconnection. Redundant path pruning is based on the contribution of edges and nodes in the network to the overall force transmission, removing edges and nodes whose contribution to the overall force transmission is lower than a preset proportion threshold. In some embodiments, the contribution can be quantified by calculating the relative change in the global efficiency of the network before and after removing a certain edge or node. The simplified three-dimensional network structure formed after pruning is the overall force skeleton characterizing the overall force characteristics of the collaborative support structure. It is understood that the preset tolerance threshold and contribution proportion threshold need to be set according to the specific size of the support structure and the sensor deployment density.

[0091] In one embodiment of the invention, the state values ​​of all edges in the overall load-bearing skeleton are analyzed, and edges whose state values ​​exceed the threshold corresponding to the allowable stress of the material are marked as overloaded edges. The upstream and downstream nodes connected to the overloaded edges are traced back to locate the critical force transmission path containing the overloaded edge in the overall load-bearing skeleton. The state value imbalance of each node on the critical force transmission path is calculated, and weak nodes with state values ​​significantly lower than adjacent nodes are identified. For the critical force transmission path containing the overloaded edge, adjustment instructions are generated, including reducing the output force value of the micropile drive device upstream of the critical force transmission path, or inserting new micropiles into the critical force transmission path to share the load. For the identified weak nodes, compensation instructions are generated, including applying additional prestress to the steel mesh node corresponding to the weak node, or increasing the connection stiffness between the steel mesh and the micropile at the weak node.

[0092] In a specific implementation, the adjustment command generation module automatically generates micropile axial force adjustment commands and steel mesh prestressing compensation commands based on the morphological characteristics of the overall load-bearing skeleton output by the collaborative skeleton generation module. The module traverses all edges in the overall load-bearing skeleton and analyzes the state values ​​associated with each edge. The state value characterizes the strength of the force or stress passing through that edge, and edges whose state values ​​exceed a pre-set threshold corresponding to the allowable material stress are marked as overloaded edges. The adjustment command generation module traces back the upstream and downstream nodes connected to each overloaded edge, locating the critical force transmission path containing this overloaded edge in the topology of the overall load-bearing skeleton. The adjustment command generation module calculates the state value imbalance of each node on the critical force transmission path, identifying weak nodes whose state values ​​are significantly lower than those of adjacent nodes.

[0093] In practical implementation, for each identified critical force transmission path containing an overloaded edge, the adjustment instruction generation module generates a corresponding adjustment instruction. This instruction includes reducing the output force of the micropile drive device upstream of the critical force transmission path, or inserting new micropiles into the critical force transmission path to share the load. In some embodiments, the specific magnitude of the reduction in output force can be calculated based on the proportion by which the state value of the overloaded edge on the critical force transmission path exceeds a threshold. Optionally, the location for inserting new micropiles can be determined by analyzing the distribution gradient of state values ​​on the critical force transmission path, typically selecting the section where the state value gradient changes most drastically. For each identified weak node, the adjustment instruction generation module generates a corresponding compensation instruction. This instruction includes applying additional prestress to the steel mesh node corresponding to the weak node, or enhancing the connection stiffness between the steel mesh and the micropile at the weak node. It is understood that applying prestress requires controlling the tensioning equipment connected to the steel mesh node, while enhancing the connection stiffness may involve tightening the connecting components or injecting reinforcing materials.

[0094] In practical implementation, calculating the state value imbalance is a crucial step for identifying weak nodes. For each non-endpoint node on the critical force transmission path, its own state value is recorded as... Record the state value of its direct predecessor node. Record the state value of its direct successor node. Then the imbalance of the nodes The following formula can be used for calculation:

[0095] ;

[0096] in: This represents the local state imbalance of a node. Represents the state value of the current node. This represents the state value of the current node's direct predecessor. This represents the state value of the current node's direct successor node. The adjustment instruction generation module will calculate the local state imbalance of all nodes. With a preset imbalance threshold Comparison, when a certain node's Greater than And the state value of this node At the same time less than and If this occurs, the node is identified as a weak node. In some embodiments, a preset imbalance threshold is used. The settings can be based on the uniformity requirements of the support structure materials and the safety factor. It can be understood that the purpose of identifying weak points is to locate potential locations of discontinuous force transmission or insufficient load-bearing capacity within the overall load-bearing skeleton, thereby providing a target for targeted prestressing compensation.

[0097] In one embodiment of the invention, starting from the two end nodes of each overloaded edge, a depth-first traversal is performed upstream and downstream along the topology of the overall load-bearing skeleton. During the upstream traversal, the direction of decreasing state values ​​is tracked until a node or boundary node with a local minimum state value is encountered, and this path is recorded as the upstream influence path. During the downstream traversal, the direction of increasing or propagating state values ​​is tracked until a node or boundary node with a local maximum state value is encountered, and this path is recorded as the downstream influence path. The overloaded edge itself, its upstream influence path, and its downstream influence path are concatenated to form a complete candidate force transmission path. Multiple candidate force transmission paths are aggregated and analyzed. If multiple candidate force transmission paths share more than a certain proportion of the same nodes, the candidate force transmission paths are merged and defined as a critical force transmission path.

[0098] Traverse each node on the critical force transmission path and obtain the normalized state value of the node stored in the overall force-bearing skeleton. For each non-endpoint node on the path, find its direct predecessor and direct successor nodes on the critical force transmission path and obtain the normalized state values ​​of these two adjacent nodes. Calculate the absolute value of the difference between the current node's state value and the state value of its direct predecessor node, denoted as the forward difference. Calculate the absolute value of the difference between the current node's state value and the state value of its direct successor node, denoted as the backward difference. Average the forward and backward differences to obtain the local state imbalance of the node. Compare the local state imbalance of all nodes on the critical force transmission path with a preset imbalance threshold. Mark nodes whose local state imbalance exceeds the threshold and whose own state value is lower than the state values ​​of both their direct predecessor and direct successor nodes as weak nodes with significantly lower state values ​​than their adjacent nodes.

[0099] The adjustment command generation module performs backtracking analysis on the marked overloaded edges to locate critical force transmission paths. The backtracking operation starts from the two end nodes of each overloaded edge and performs a depth-first traversal along the topological connection structure of the overall load-bearing skeleton in both upstream and downstream directions. The upstream traversal tracks the direction of decreasing state values ​​within the overall load-bearing skeleton, continuing until a node with a local minimum state value is encountered or the topological boundary node of the overall load-bearing skeleton is reached. This traversal path is recorded as the upstream influence path. The downstream traversal tracks the direction of increasing state values ​​or force transmission, continuing until a node with a local maximum state value is encountered or the topological boundary node of the overall load-bearing skeleton is reached. This traversal path is recorded as the downstream influence path. The overloaded edge itself, its upstream influence path, and its downstream influence path are then concatenated according to the topological connection order to form a complete candidate force transmission path. The adjustment command generation module performs aggregation analysis on multiple candidate force transmission paths. If multiple candidate force transmission paths are found to share more than a set proportion of identical nodes, the candidate force transmission paths are merged, and the merged path is defined as a critical force transmission path. In some embodiments, the formula for determining the path sharing ratio is:

[0100] ;

[0101] in: Represents the sharing ratio, This represents the number of common nodes shared by multiple candidate force transmission paths. This represents the average total number of nodes per path among the candidate force transmission paths being evaluated. When When the value exceeds a preset merging threshold, a path merging operation is triggered. It can be understood that the merging threshold can be set according to the complexity of the support system.

[0102] In specific implementation, to identify weak nodes on the critical force transmission path, the adjustment instruction generation module traverses each node on the critical force transmission path and obtains the normalized state value of the node stored in the overall force-bearing skeleton. For each non-endpoint node on the critical force transmission path, its direct predecessor and direct successor nodes on the critical force transmission path are found, and the normalized state values ​​of these two adjacent nodes are obtained. The absolute value of the difference between the current node's state value and the state value of its direct predecessor node is calculated and recorded as the forward difference. The absolute value of the difference between the current node's state value and the state value of its direct successor node is calculated and recorded as the backward difference. The average of the forward difference and the backward difference is used to obtain the local state imbalance of the node. The local state imbalance of all nodes on the critical force transmission path is compared with a preset imbalance threshold. Nodes whose local state imbalance exceeds the threshold and whose own state value is lower than the state values ​​of their direct predecessor and direct successor nodes are marked as weak nodes with state values ​​significantly lower than those of their adjacent nodes. Optionally, the preset imbalance threshold can be determined based on statistical analysis of historical support structure force data. In some embodiments, refer to Table 1 for the node status values ​​of the upstream influence path.

[0103] Table 1: Status Values ​​of Upstream Affected Path Nodes

[0104] Node identifier Normalized state values UP-Node-A 0.85 UP-Node-B 0.76 UP-Node-C 0.68 UP-Node-D 0.65

[0105] See Figure 4 This is a chart analyzing the sharing ratio of candidate force transmission paths in a micropile-steel mesh collaborative support system. It's used to determine whether candidate paths need to be merged into critical force transmission paths. A higher sharing ratio indicates a stronger force transmission correlation between candidate paths. Merging these paths allows for more precise identification of the system's critical force transmission paths, providing a focused analysis object for subsequent overload edge processing and weak node identification. This chart intuitively demonstrates the merging determination of candidate force transmission paths and serves as the core visualization basis for the "critical force transmission path identification" stage. It helps engineers quickly screen out force transmission paths that require priority attention, improving the efficiency and accuracy of force analysis of the support system.

[0106] In one embodiment of the invention, the precise location and connection relationship of weak nodes in the steel mesh geometric model are queried. Based on the state gradient of the overall load-bearing skeleton at the weak nodes, the theoretical value of prestress required to balance the unbalance is calculated. According to the theoretical value of prestress, the closest tension force level and holding time are matched from a pre-stored steel mesh tensioning equipment control parameter library. A specific tensioning control signal is generated, which specifies the coordinates of the target steel mesh node, the number of the tensioning equipment to be activated, the target tension force value, and the timing of the tensioning action.

[0107] In the overall load-bearing skeleton, taking the identified weak node as the center, all directly connected topological edges are extracted. The difference in state value between the weak node and each of its adjacent nodes is calculated, and then divided by the theoretical length of the corresponding topological edge to obtain the directional state gradient from the weak node to each adjacent node. The direction with the largest absolute value of the directional state gradient is selected as the principal gradient direction, and its gradient value is recorded as the principal gradient value. The elastic modulus of the steel mesh material under the design specifications and the equivalent area of ​​the steel mesh cross-section at the weak node are obtained. The principal gradient value, the elastic modulus of the steel mesh material, and the equivalent area of ​​the steel mesh cross-section are multiplied to obtain a preliminary force compensation value. According to the topological importance of the weak node in the force distribution network within the steel mesh, the preliminary force compensation value is corrected; the higher the importance, the larger the correction coefficient. The final calculated force value is the theoretical prestress value required to balance the unbalance.

[0108] The adjustment command generation module applies additional prestress to the steel mesh nodes corresponding to the weak nodes. First, it queries the precise coordinates of the identified weak nodes in the steel mesh geometric model and their connection relationships within the steel mesh network. Based on the state gradient of the overall load-bearing skeleton at the weak nodes, it calculates the theoretical prestress value required for the equilibrium state imbalance. According to the calculated theoretical prestress value, the adjustment command generation module matches the closest tension force level and holding time combination to the target value from a pre-stored steel mesh tensioning equipment control parameter library, generating a specific tensioning control signal. This signal explicitly specifies the coordinates of the target steel mesh node, the specific tensioning equipment number to be activated, the target tension force value, and the timing of the tensioning action.

[0109] In specific implementation, the steps for calculating the theoretical value of prestress include: In the overall load-bearing skeleton, taking the identified weak node as the center, extracting all directly connected topological edges of the weak node; calculating the difference in state values ​​between the weak node and each of its adjacent nodes; dividing the difference in state values ​​by the theoretical length of the corresponding topological edge to obtain the directional state gradient from the weak node to each adjacent node; selecting the direction with the largest absolute value of the directional state gradient as the principal gradient direction, and recording its gradient value as the principal gradient value. In some embodiments, the elastic modulus value of the steel mesh material as specified in the design specifications and the equivalent area of ​​the steel mesh cross-section at the weak node are obtained. The principal gradient value, the elastic modulus value of the steel mesh material, and the equivalent area of ​​the steel mesh cross-section are multiplied to obtain a preliminary force compensation value. Based on the topological importance of the weak node in the force distribution network within the steel mesh, the preliminary force compensation value is corrected; the higher the topological importance, the larger the correction coefficient applied. The final calculated force value is the theoretical value of prestress required to balance the unbalance. It can be understood that topological importance can be quantified through network indicators such as node degree and density centrality. Optionally, the theoretical value of prestress... The calculation can be expressed as:

[0110] ;

[0111] in: This represents the state gradient value along the principal gradient direction. This represents the elastic modulus of the steel mesh material. This represents the equivalent area of ​​the steel mesh cross-section at the weakest node. This represents the correction coefficient determined based on the topological importance of weak nodes.

[0112] In practice, the process of matching parameters from the control parameter library of the steel mesh tensioning equipment is deterministic; the adjustment command generation module will calculate the theoretical prestress value. The value is compared with the pre-stored tension levels in the parameter library, and a level value not less than [value missing] is selected. The minimum tension level is used as the target tension value, and the corresponding standard holding time is read. In some embodiments, if the parameter library stores discrete tension levels, the matching result is the closest higher tension level; if the parameter library supports continuous adjustment, the matching result is the theoretical prestress value. The tension control signal ultimately generated by the adjustment instruction generation module is a structured instruction set. The instruction set includes at least the three-dimensional coordinates of the target node, the unique number of the device assigned to perform this tensioning task, the matched target tension force value, and the tensioning start time and duration relative to the system clock.

[0113] See Figure 5 This is a diagram analyzing the overall stress structure of a micropile-steel mesh collaborative support system, showing the distribution of the nodes' comprehensive state and topological importance. The comprehensive state values ​​of most nodes show a trend consistent with their topological importance, reflecting the correlation logic that "nodes with more significant stress are also more critical in the topological structure." The comprehensive state value reflects the actual stress intensity of the node, while topological importance reflects the structural location value of the node. Combining these two factors allows for the precise identification of "core stress nodes" and "potential risk nodes" in the support system. This diagram provides a two-dimensional basis for the control of the support system: core nodes (such as node 5) require enhanced monitoring, while nodes with low state values ​​but high topological importance (such as node 3) require prestress compensation to improve the stability of the support system.

[0114] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0115] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An adjustable micropile-steel mesh collaborative support system, characterized in that, The system includes: The data acquisition module deploys multiple stress sensing units at the interface between the micropile body and the soil between the piles in the support structure. The stress sensing units collect the pile-soil contact stress spectrum in real time. A displacement tracking unit is set at the connection node between the steel mesh and the micropile. The displacement tracking unit continuously monitors the three-dimensional displacement of the node. The interaction modeling module constructs a pile-net-soil interaction topology based on the spatial correlation between the pile-soil contact stress spectrum and the three-dimensional displacement of the nodes. The stress network identification module uses an interaction evolution algorithm to perform real-time simulation of the pile-net-soil interaction topology, identifying the micropile load transfer chain and the steel mesh internal force distribution network. The collaborative skeleton generation module integrates the micropile load transfer chain with the steel mesh internal force distribution network to form an overall load-bearing skeleton for the collaborative support structure. The adjustment command generation module automatically generates micro-pile axial force adjustment commands and steel mesh prestress compensation commands based on the morphological characteristics of the overall load-bearing skeleton.

2. The adjustable micropile-steel mesh collaborative support system according to claim 1, characterized in that, Based on the spatial correlation between the pile-soil contact stress spectrum and the three-dimensional displacement of the nodes, a pile-net-soil interaction topology diagram is constructed, including: Stress peaks and valleys from multiple time periods are extracted from the continuous pile-soil contact stress spectrum to form a stress time series feature vector; The three-dimensional displacement of the node is transformed by coordinate transformation, and the displacement trajectory is mapped to a local coordinate system based on the support surface to generate a sequence of node displacement trajectories. Calculate the correlation coefficient between the stress temporal feature vector corresponding to each stress sensing unit and the nodal displacement trajectory sequences generated by the three displacement tracking units with the closest spatial distance to it; Using stress sensing units and displacement tracking units as topological nodes and the correlation coefficient as the weight of the topological edges, an initial weighted topological network containing nodes, edges and weights is established. In the initial weighted topology network, a continuity constraint of the soil medium is introduced, which requires that the weight changes of the topological edges satisfy a continuous distribution in space; The skeleton of the initial weighted topology network that satisfies the continuity constraint is extracted to obtain a simplified topology that reflects the main force transmission paths between the pile, the steel mesh and the soil. The simplified topology is the pile-mesh-soil interaction topology diagram.

3. The adjustable micropile-steel mesh collaborative support system according to claim 2, characterized in that, The pile-net-soil interaction topology was simulated in real time using an interaction evolution algorithm to identify the micropile load transfer chain and the steel mesh internal force distribution network, including: Each topological node in the pile-net-soil interaction topology diagram is assigned an initial state value, which is obtained by normalizing the real-time physical quantities collected by the corresponding sensing unit. Define the state evolution rules for topological nodes. The state evolution rules stipulate that the state value of any topological node at the next time step is determined by its current state value, the weights of all topological edges connected to it, and the current state values ​​of its neighboring topological nodes. The pile-net-soil interaction topology diagram and the state evolution rules are input into a preset parallel computing unit to perform multiple rounds of state iteration calculations until the rate of change of the state values ​​of all topology nodes is less than a preset threshold. At this point, a stable node state distribution field is obtained. From a stable node state distribution field, a sequence of connected nodes whose state values ​​increase along a specific direction is extracted, and the sequence of connected nodes constitutes the load transfer chain of the micropile. In the pile-net-soil interaction topology diagram, all topological nodes representing steel mesh connection nodes are selected, and the state gradients between the topological nodes after the state stabilizes are calculated. The nodes are connected according to the strength of the state gradients to form a network, which is the internal force distribution network of the steel mesh.

4. The adjustable micropile-steel mesh collaborative support system according to claim 3, characterized in that, The micropile load transfer chain is integrated with the steel mesh internal force distribution network to form an overall load-bearing skeleton for the collaborative support structure, including: A unified spatial index is established to map the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model; Identify nodes in the micropile load transfer chain that overlap with or have a spatial distance less than the tolerance threshold from the steel mesh internal force distribution network, and mark these nodes as fusion nodes. For each fusion node, the state value it carries in the load transmission chain and the state value it carries in the internal force distribution network are weighted and synthesized to generate the comprehensive state value of the fusion node. The weighting coefficient is determined by the topological importance of the fusion node in the two force transmission paths. Using the fusion node as a hub, the remaining part of the micropile load transfer chain is reconnected with the remaining part of the steel mesh internal force distribution network to ensure the continuity of the force transmission path. Redundant paths are pruned on the reassembled network structure, and edges and nodes that contribute less than a preset ratio to the overall force transmission are removed. The resulting simplified three-dimensional network structure is the overall force-bearing skeleton.

5. The adjustable micropile-steel mesh collaborative support system according to claim 4, characterized in that, A unified spatial index is established to map the node sequence in the micropile load transfer chain and the nodes in the steel mesh internal force distribution network to the same three-dimensional support structure model, including: Obtain a pre-constructed three-dimensional digital model of the support structure, which includes the spatial coordinates of all micropiles, the geometry of the steel mesh panel, and the precise location of the connection nodes. Each node in the micropile load transfer chain is assigned a three-dimensional coordinate identifier, which is determined by the installation position of its corresponding stress sensing unit in the support structure. Each node in the steel mesh internal force distribution network is assigned a three-dimensional coordinate identifier, which is determined by the installation position of its corresponding displacement tracking unit in the support structure. Establish a three-dimensional spatial mesh index with the bottom surface of the support structure as the reference plane, and divide the entire support structure space into multiple regular cubic units; The three-dimensional coordinate identifiers of each node in the micropile load transfer chain and the three-dimensional coordinate identifiers of each node in the steel mesh internal force distribution network are used to calculate the regular cube element number to which they belong. Nodes belonging to the same regular cube element number but from different networks are associated, and their original network affiliation information is recorded to complete the mapping of nodes to the same three-dimensional support structure model.

6. The adjustable micropile-steel mesh collaborative support system according to claim 1, characterized in that, Based on the morphological characteristics of the overall load-bearing skeleton, micro-pile axial force adjustment commands and steel mesh prestressing compensation commands are automatically generated, including: Analyze the state values ​​of all edges in the overall load-bearing skeleton, and mark the edges whose state values ​​exceed the threshold corresponding to the allowable stress of the material as overloaded edges; By tracing back the upstream and downstream nodes connected to the overloaded edge, the key force transmission path containing the overloaded edge is located in the overall force-bearing skeleton. Calculate the state value imbalance of each node on the key force transmission path and identify weak nodes whose state values ​​are significantly lower than those of adjacent nodes; For critical force transmission paths containing overloaded edges, an adjustment command is generated, which includes: reducing the output force value of the micropile drive device upstream of the critical force transmission path, or inserting a new micropile in the critical force transmission path to share the load. For the identified weak nodes, a compensation instruction is generated, which includes: applying additional prestress to the steel mesh node corresponding to the weak node, or enhancing the connection stiffness between the steel mesh and the micropile at the weak node.

7. The adjustable micropile-steel mesh collaborative support system according to claim 6, characterized in that, Tracing back the upstream and downstream nodes connected to the overloaded edge, the key force transmission paths containing the overloaded edge are located in the overall load-bearing skeleton, including: Starting from the two end nodes of each overloaded edge, perform a depth-first traversal upstream and downstream along the topology of the overall load-bearing skeleton; During upstream traversal, track the direction of decreasing state value until a node or boundary node with a local minimum state value is encountered, and record this path as the upstream influence path. During downstream traversal, track the direction of state value increment or propagation until a node or boundary node with a state value of local maximum is encountered, and record this path as the downstream influence path. The overloaded edge itself, its upstream influence path and its downstream influence path are spliced ​​together to form a complete candidate force transmission path; Aggregate analysis is performed on multiple candidate force transmission paths. If multiple candidate force transmission paths share more than a certain proportion of the same nodes, the candidate force transmission paths are merged and defined as a critical force transmission path.

8. The adjustable micropile-steel mesh collaborative support system according to claim 6, characterized in that, Calculate the state value imbalance of each node on the critical force transmission path, and identify weak nodes whose state values ​​are significantly lower than those of their neighboring nodes, including: Traverse each node on the critical force transmission path and obtain the normalized state value of the node stored in the overall force-bearing skeleton. For each non-endpoint node on the path, find its direct predecessor and direct successor nodes on the critical force transmission path, and obtain the normalized state values ​​of these two adjacent nodes. Calculate the absolute value of the difference between the current node's state value and the state value of its direct predecessor node, and denot it as the forward difference. Calculate the absolute value of the difference between the current node's state value and the state value of its direct successor node, and denot it as the backward difference. The local state imbalance of a node is obtained by averaging the forward and backward differences. The local state imbalance of all nodes on the key force transmission path is compared with the preset imbalance threshold. Nodes whose local state imbalance exceeds a threshold and whose state value is lower than that of their direct predecessor and direct successor nodes are identified as weak nodes whose state values ​​are significantly lower than those of their neighboring nodes.

9. The adjustable micropile-steel mesh collaborative support system according to claim 6, characterized in that, Apply additional prestress to the steel mesh nodes corresponding to weak nodes, including: Query the precise location and connection relationship of the weak node in the steel mesh geometric model; Based on the state gradient of the overall load-bearing skeleton at weak nodes, the theoretical value of prestress required to balance the unbalance is calculated. Based on the theoretical value of prestress, the closest tension force level and holding time are matched from the pre-stored control parameter library of steel mesh tensioning equipment; A specific tensioning control signal is generated, which specifies the coordinates of the target steel mesh node, the number of the tensioning equipment to be activated, the target tensioning force value, and the timing of the tensioning action.

10. The adjustable micropile-steel mesh collaborative support system according to claim 9, characterized in that, Based on the state gradient of the overall load-bearing skeleton at weak nodes, the theoretical values ​​of prestress required to balance the unbalance are calculated, including: In the overall load-bearing skeleton, taking the identified weak nodes as the center, extract all directly connected topological edges; Calculate the difference between the state values ​​of the weak node and each of its neighboring nodes, and then divide it by the theoretical length of the corresponding topological edge to obtain the directional state gradient of the weak node pointing to each neighboring node. The direction with the largest absolute value of the directional state gradient is selected as the principal gradient direction, and its gradient value is recorded as the principal gradient value. Obtain the elastic modulus of the steel mesh material under the design specifications and the equivalent area of ​​the steel mesh cross-section at weak nodes; Multiplying the principal gradient value, the elastic modulus of the steel mesh material, and the equivalent area of ​​the steel mesh cross section yields a preliminary force compensation value. Based on the topological importance of weak nodes in the force distribution network of the steel mesh, the initial force compensation value is corrected. The higher the importance, the larger the correction coefficient. The final calculated force value is the theoretical prestress value required to balance the unbalance.

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