A method and system for strengthening the steel structure of the kiln tail tower

Abstract

The present invention provides a method and system for strengthening the steel structure of the kiln tail tower, which relates to the technical field of steel structure strengthening, and includes: deploying monitoring equipment to conduct a global scan of the kiln tail tower to determine the tower state data; deploying a reinforcement decision-making unit in the edge processor, establishing interactive communication with the monitoring equipment, and importing the tower state data into the edge processor; according to the dual decision-making channels in the demand decision-making node, parallelly execute the identification and prediction of state elements and the mechanical bearing simulation analysis to determine the reinforcement demand orientation, trigger the strategy decision-making node to execute the cascade decision-making under the reinforcement method and reinforcement scale, and determine the reinforcement strategy; according to the reinforcement strategy, conduct steel structure reinforcement treatment on the kiln tail tower. The present invention solves the technical problems that many existing reinforcement methods need to carry out large-scale renovation or demolition of the original structure, often need to change the structural form of the original steel structure, resulting in an increase in project volume, cost, and construction period.

Description

Technical Field

[0001] The present invention relates to the technical field of steel structure reinforcement, and particularly relates to a method and system for reinforcing the steel structure of a kiln tail tower. Background Art

[0002] The kiln tail tower is one of the important structures in the cement production line and is usually made of steel structure. During the cement production process, the kiln tail tower often faces extreme working environments, especially temperature changes. In some cases, the area where the tower is located may experience sudden temperature drops. For example, in some low-temperature environments, the steel structure of the tower may be affected by frost heaving forces. These frost heaving forces are generated after water freezes and expands inside the steel structure. When the frost heaving forces act together with the original load on the steel structure, it will cause circumferential stress in the steel structure. If these stresses are superimposed and exceed the ultimate tensile stress of the steel pipe, the steel structure may undergo brittle failure at low temperatures, resulting in serious cracking and fissures, which seriously affect the structural safety of the tower.

[0003] In the prior art, many reinforcement methods require significant modification or demolition of the original structure and re-design and construction. For example, when using traditional reinforcement methods such as concrete reinforcement or external wrapping reinforcement, etc., it is often necessary to change the structural form of the original steel pipe column, resulting in increased engineering quantity, cost, and construction period. Summary of the Invention

[0004] This application provides a method and system for reinforcing the steel structure of a kiln tail tower, aiming to solve the technical problems that many reinforcement methods in the prior art require significant modification or demolition of the original structure, often need to change the structural form of the original steel structure, resulting in increased engineering quantity, cost, and construction period.

[0005] In the first aspect disclosed in this application, a method for reinforcing the steel structure of a kiln tail tower is provided. The method includes: deploying monitoring equipment to perform a global scan on the kiln tail tower to determine the tower status data; deploying a reinforcement decision-making unit in the edge processor and establishing interactive communication with the monitoring equipment, and importing the tower status data into the edge processor, where the reinforcement decision-making unit includes cascaded demand decision nodes and strategy decision nodes; according to the dual decision channels in the demand decision nodes, parallelly execute state element identification prediction and mechanical bearing simulation analysis to determine the reinforcement demand orientation, trigger the strategy decision nodes to execute cascaded decisions on reinforcement methods and reinforcement scales, and determine the reinforcement strategy, where the reinforcement methods include a first reinforcement method and a second reinforcement method; according to the reinforcement strategy, perform steel structure reinforcement treatment on the kiln tail tower.

[0006] The second aspect disclosed in this application provides a steel structure reinforcement system for the kiln tail tower, which is used for the above-mentioned steel structure reinforcement method of the kiln tail tower. The system includes: a global scanning module for globally scanning the kiln tail tower by deploying monitoring devices to determine the tower status data; a data import module for deploying a reinforcement decision-making unit in an edge processor, establishing interactive communication with the monitoring devices, and importing the tower status data into the edge processor. Among them, the reinforcement decision-making unit includes cascaded demand decision nodes and policy decision nodes; a cascaded decision module for parallelly executing status element identification prediction and mechanical bearing simulation analysis according to the dual decision channels in the demand decision nodes to determine the reinforcement demand orientation, triggering the policy decision nodes to execute cascaded decisions on reinforcement methods and reinforcement scales to determine the reinforcement strategy. Among them, the reinforcement methods include the first reinforcement method and the second reinforcement method; a reinforcement processing module for performing steel structure reinforcement processing on the kiln tail tower according to the reinforcement strategy.

[0007] One or more technical solutions provided in this application have at least the following beneficial effects:

[0008] By deploying monitoring devices to globally scan the kiln tail tower and determining the tower status data, it ensures comprehensive monitoring of the tower conditions and enhances real-time control of the tower's health status; by deploying a reinforcement decision-making unit in the edge processor and establishing interactive communication with the monitoring devices, the collected data can be quickly transmitted and processed, thus accelerating the formation of decisions. By importing the tower status data into the edge processor, local processing of data and formulation of reinforcement decisions can be efficiently achieved without waiting for the response of the remote server, reducing decision-making delays and improving the real-time performance and flexibility of reinforcement decisions; based on the dual decision channels, parallel execution of status element identification prediction and mechanical bearing simulation analysis is carried out. This dual parallel decision-making method ensures that the reinforcement demand not only responds to the current condition of the tower but also considers the tower's performance under different working conditions, so that more scientific and accurate reinforcement decisions can be made based on comprehensive data and models; according to the reinforcement demand orientation, triggering the policy decision nodes to execute cascaded decisions on reinforcement methods and reinforcement scales to determine the reinforcement strategy for performing steel structure reinforcement processing on the kiln tail tower. Through the automated decision-making process, the most suitable reinforcement method and reinforcement scale can be automatically selected. This automated decision-making process avoids errors in manual judgment and ensures the scientific nature and applicability of the reinforcement plan.

[0009] The above description is only an overview of the technical solutions of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific embodiments of this application are hereinafter specifically exemplified. Brief Description of the Drawings

[0010] Figure 1 Schematic flow diagram of a method for strengthening the steel structure of the kiln tail tower provided by an embodiment of the present application.

[0011] Figure 2 Schematic structural diagram of a system for strengthening the steel structure of the kiln tail tower provided by an embodiment of the present application.

[0012] Explanation of reference numerals: Global scanning module 10, data import module 20, cascaded decision-making module 30, strengthening processing module 40. Detailed implementation manners

[0013] By providing a method and a system for strengthening the steel structure of the kiln tail tower in an embodiment of the present application, many technical problems in the prior art are solved, that is, many existing strengthening methods require a large-scale renovation or demolition of the original structure, and often need to change the structural form of the original steel structure, resulting in an increase in the amount of work, an increase in cost, and an extension of the construction period.

[0014] After introducing the basic principle of the present application, various non-limiting implementation manners of the present application will be specifically introduced below in conjunction with the drawings in the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0015] Embodiment 1, as Figure 1 shown, an embodiment of the present application provides a method for strengthening the steel structure of the kiln tail tower, and the method includes:

[0016] Deploy monitoring equipment to perform global scanning on the kiln tail tower to determine the tower state data.

[0017] Deploy monitoring equipment to collect the state information of the kiln tail tower. The monitoring equipment includes various sensors, such as displacement sensors, strain gauges, accelerometers, temperature sensors, etc., which are used to monitor the structural state of the tower in real time. The monitoring equipment should be deployed to cover all important parts and areas of the kiln tail tower to ensure a full range of scanning of each part of the kiln tail tower. The monitoring equipment collects the real-time data of the kiln tail tower and generates detailed information about the tower state, such as stress, displacement, deformation, etc. This global scanning not only focuses on the current state of the tower but also involves dynamic monitoring to capture the performance of the tower under different working conditions. Finally, tower state data is generated, and these data reflect the health status of the tower and are used for subsequent analysis and decision-making.

[0018] Deploy a strengthening decision-making unit in the edge processor, establish an interactive communication with the monitoring equipment, and import the tower state data into the edge processor. Among them, the strengthening decision-making unit includes cascaded requirement decision-making nodes and strategy decision-making nodes.

[0019] The main function of the edge processor is to process the data collected from the monitoring devices in real time without transmitting all the data to the central server, which can accelerate the data processing and decision-making process, especially in cases where quick response is required. A fortified decision-making unit is deployed on the edge processor. This unit consists of multiple nodes, including a requirement decision node and a policy decision node. This processing unit aims to make fortified decisions based on real-time data to help determine whether the tower needs to be fortified and the fortification plan.

[0020] The edge processor and the monitoring devices interact and communicate with each other through a communication network to transmit the tower status data. After the tower status data is transmitted from the monitoring devices to the edge processor, the edge processor will perform preprocessing and analysis to ensure the integrity and validity of the data. These data will be used as inputs for the fortified decision-making unit.

[0021] Among them, the function of the requirement decision node is to analyze the status data of the tower and identify structural problems or potential risks existing in the tower. For example, by analyzing data such as structural deformation, stress distribution, and vibration frequency, it is determined whether the tower meets the design requirements and whether there are parts that need to be fortified; the policy decision node formulates specific fortification strategies based on the analysis results provided by the requirement decision node. The fortification strategies include selecting fortification methods (such as welding reinforcement, strengthening the support structure, etc.), the scale of fortification (partial fortification or global fortification), and the technical solutions for fortification, etc. The combination of these two nodes forms a cascaded decision-making system. The requirement decision node first analyzes the tower status data to determine whether fortification is needed; if fortification is needed, the policy decision node formulates a fortification plan based on the requirement analysis results and generates corresponding fortification strategies.

[0022] According to the dual decision-making channels in the requirement decision node, the state element identification prediction and mechanical bearing simulation analysis are executed in parallel to determine the fortification requirement orientation, trigger the policy decision node to execute the cascaded decision-making under the fortification method and fortification scale, and determine the fortification strategy. Among them, the fortification method includes the first fortification method and the second fortification method.

[0023] The dual decision-making channel refers to a channel within the demand decision-making node that simultaneously processes two parallel decisions. Through the dual decision-making channel, the identification and prediction of state elements and the mechanical bearing simulation analysis are executed in parallel. Among them, the identification and prediction of state elements is to identify and predict the state of the tower based on the data collected from monitoring devices, mainly through data analysis techniques such as pattern recognition, machine learning, and time series analysis, to identify the state elements of the tower, such as stress, deformation, cracks, etc., and predict the possible structural problems that the tower may encounter in the future. These predictions help to identify the reinforcement requirements, such as insufficient structural strength in certain parts of the tower or the risk of potential damage; the mechanical bearing simulation analysis is to conduct the mechanical bearing simulation of the tower, by establishing the mechanical model of the tower, simulating the bearing capacity and structural deformation of the tower under different loads, and analyzing the mechanical performance of the tower during actual operation. For example, simulate the response of the tower under vertical and horizontal loads and the possible structural instability or deformation under static and dynamic conditions. At this stage, the identification and prediction of state elements and the mechanical bearing simulation analysis are carried out in parallel, that is, the dual decision-making channel processes data and conducts analysis simultaneously. Through parallel execution, the health status of the tower can be comprehensively evaluated and the parts that most need reinforcement can be identified.

[0024] After the parallel execution of the dual decision-making channel, two aspects of information are obtained. On the one hand, there are potential structural problems of the tower, such as cracks, fatigue, stress concentration areas, etc.; on the other hand, there are defects in the mechanical bearing of the tower, such as insufficient bearing capacity, excessive deformation, etc. Combining the analysis results of these two aspects, the reinforcement requirement orientation is determined, including the parts of the tower that need to be reinforced, the priority and nature of reinforcement, such as earthquake resistance, compressive resistance, tensile resistance, etc.

[0025] After determining the reinforcement requirement orientation, the strategy decision-making node is triggered to execute the decision on the reinforcement method and reinforcement scale. Among them, the reinforcement method includes the first reinforcement method and the second reinforcement method. The first reinforcement method is to reinforce the enlarged cross-section of the welded steel pipe by symmetric welding, and the second reinforcement method is to reinforce the enlarged cross-section by welding vertical ribs; the reinforcement scale includes reinforcement or global reinforcement, and even a step-by-step reinforcement strategy. Finally, based on the cascaded decision of the reinforcement method and reinforcement scale, a specific reinforcement strategy is formulated, which includes which parts need to be reinforced, what reinforcement method to use, the strength requirements for reinforcement, and the specific implementation steps.

[0026] According to the described reinforcement strategy, the steel structure of the kiln tail tower is reinforced.

[0027] Based on the determined reinforcement strategy, the specific steel structure reinforcement treatment is started. At this time, the reinforcement strategy is clear, including the location of reinforcement, reinforcement method, reinforcement materials, and reinforcement technology, etc., to ensure that the structural safety of the tower is effectively improved.

[0028] Furthermore, the first reinforcement method is to use welded steel pipes with symmetric welding to expand the cross-section for reinforcement, and the second reinforcement method is to weld vertical ribs to expand the cross-section for reinforcement.

[0029] For the steel structure reinforcement construction of the kiln tail tower, welded steel pipes with symmetric welding are used to expand the cross-section for reinforcement and vertical ribs are welded to expand the cross-section for reinforcement. Among them, for the method of using welded steel pipes with symmetric welding to expand the cross-section, the newly added steel pipes are sleeved outside the original steel pipe columns by symmetric welding, and fine aggregate concrete or grout is poured. Studs are arranged on both the inner and outer walls. The new steel plate on the outside is formed by butt welding of two steel plates. This reinforcement method has a simple stress mode. The added studs can effectively improve the co-action between the new and old cross-sections, and the difficulty of removing the paint and rust on the original steel pipes is controllable. For the method of welding vertical ribs to expand the cross-section, the original steel pipe columns are derusted and then rib plates are welded. The new ribs are closed with steel plates, studs are arranged between the inner and outer walls, and grout or fine aggregate concrete is poured. The advantage of this structural form is that the effect of expanding the cross-section is good, the bearing capacity is significantly improved, the construction difficulty is controllable, the difficulty of paint removal work is relatively low, the studs effectively improve the co-action between the new and old cross-sections. In addition, the thickness of the outer steel plate is small, which effectively reduces the steel consumption.

[0030] Furthermore, the reinforcement decision-making unit includes cascaded demand decision-making nodes, including:

[0031] Based on the identification and evolution prediction of the tower state, the identification decision-making channel is supervised and trained; based on the support system, natural vibration frequency and vibration mode, a simplified model of the kiln tail tower is established to determine the simulation decision-making channel, where the support system is a central support system or an eccentric support system; the identification decision-making channel and the simulation decision-making channel are paralleled, and channel interaction based on consistency determination is introduced to determine the demand decision-making nodes.

[0032] Through the supervised learning method, the tower state is analyzed and its evolution is predicted. The tower state identification includes evaluating the health status of each of its components. Common state elements include strain, crack, temperature change, deformation, etc. The evolution prediction refers to predicting the possible future evolution trend of the tower based on historical data and real-time monitoring data, including predicting the fatigue life of the tower, the potential damage evolution process, or the performance change of the tower under specific conditions (such as load change, environmental change, etc.).

[0033] By using labeled data, i.e., historical data and known health status labels, to train machine learning algorithms, the recognition decision channel can identify different states of the tower and predict possible future changes. For example, during the training process, classifiers or regression models are used to analyze the relationship between various state elements of the tower and its subsequent evolution, so that the reinforcement decision can make a reasonable judgment based on future trends. Through the state recognition and evolution prediction of the tower, a recognition decision channel is constructed, which is part of the decision-making process and aims to help the system identify the need for reinforcement by analyzing the state of the tower.

[0034] The support system is an important part of the tower, affecting the stability and vibration response of the tower. The support system is divided into two categories: the central support system and the eccentric support system. These two support systems will result in different mechanical responses and dynamic characteristics, so special distinction and treatment are required during modeling; the natural frequency refers to the inherent frequency of the tower in the free vibration state. The level of the natural frequency is related to the structural stiffness and mass distribution of the tower. If the operating frequency of the tower is close to its natural frequency, resonance will occur; the vibration mode refers to the vibration mode of the tower at different frequencies. Different vibration modes correspond to different structural response methods. Analyzing the vibration mode helps to understand the dynamic response of the tower under external loads.

[0035] Simplified modeling means that when conducting dynamic analysis of the tower, not all detailed features of the tower need to be considered, but the most critical elements, namely the support system, natural frequency, and vibration mode, are selectively introduced. The constructed result only needs to meet the subsequent analysis, thus simplifying the complexity of the model. This simplified modeling helps to reduce the computational burden while maintaining the effectiveness of the analysis.

[0036] Through the above simplified modeling, a simulation decision channel is constructed. This channel is a tool used to evaluate the dynamic response and mechanical performance of the tower. It can predict the dynamic performance of the tower under specific working conditions based on the analysis of the support system, natural frequency, and vibration mode, thus providing a basis for subsequent decisions.

[0037] Parallelize the recognition decision channel and the simulation decision channel. The parallel execution of these two channels can provide more comprehensive analysis results in a shorter time, enabling the reinforcement requirements to be identified more accurately. Introduce channel interaction based on consistency determination, aiming to ensure that the results of the recognition decision channel and the simulation decision channel are logically consistent. If the results of the two channels are inconsistent, they need to be coordinated or adjusted. For example, if the recognition decision channel detects a problem with the tower, but the simulation decision channel does not find any dynamic abnormalities, further analysis is required to confirm whether the parameters of the simulation model or the recognition channel need to be adjusted.

[0038] Finally, through parallel execution and consistency determination, the requirement decision node is determined. This node will comprehensively identify the outputs of the decision channels of identification and simulation, form the final decision on reinforcement requirements, and provide inputs for subsequent policy decision nodes.

[0039] Furthermore, according to the dual decision channels in the requirement decision node, parallel execution of state element identification prediction and mechanical bearing simulation analysis is carried out to determine the reinforcement requirement orientation, including:

[0040] According to the identification decision channel, non-standard condition feature identification and feature evolution determination are performed on the tower state data to determine the first reinforcement requirement; according to the simulation decision channel, with static and dynamic conditions as scenarios, structural deformation simulation under mechanical bearing is performed to determine the second reinforcement requirement, where the mechanical bearing at least includes vertical load transfer and horizontal load resistance; map the first reinforcement requirement and the second reinforcement requirement as the reinforcement requirement orientation.

[0041] Non-standard conditions refer to slight anomalies in the tower state. Although these anomalies are different from the normal state, they have not reached the level of serious anomalies. For example, there are slight displacements, protrusions, offsets, etc. in some components of the tower (such as screws, connection parts, support structures). Although these problems do not immediately affect the load-bearing capacity of the structure, they already show deviations from the initial design state. In the identification decision channel, through the analysis of tower state data, these non-standard condition features are identified, and these features are manifested as slight deformations of some components, abnormal changes in strain, and small displacements of some connection parts, etc.

[0042] Feature evolution refers to the analysis of the changes in non-standard condition features over time to judge whether they will further develop into more serious structural problems. By monitoring the evolution trend of non-standard condition features, it is predicted whether these slight anomalies will further deteriorate, or whether they will affect the overall stability of the tower over time. Through the analysis of these evolution features, it can be judged whether reinforcement is needed, or how long it will take to enter the stage where reinforcement is required.

[0043] Based on the analysis results of non-standard condition feature identification and feature evolution, the first reinforcement requirement is generated. The first reinforcement requirement is preventive reinforcement for slight anomalies, including adding supports, repairing slight structural deformations, or adjusting offset components, etc.

[0044] Perform simulations for static and dynamic scenarios. Under static conditions, analyze the bearing capacity of the tower under vertical loads and check whether the structure will undergo excessive deformation or other mechanical abnormalities when bearing vertical loads. Under dynamic conditions, analyze the response of the tower under external dynamic loads (such as wind, earthquake, etc.) and check the seismic resistance, wind resistance, and stability of the tower under dynamic loads. By simulating static and dynamic scenarios, the mechanical performance of the tower under different working conditions can be comprehensively evaluated.

[0045] Through finite element analysis or other mechanical simulation methods, simulate the deformation of the tower under static and dynamic loads. During the simulation process, focus on analyzing the vertical load transfer and horizontal load resistance. Among them, vertical load transfer refers to the bearing capacity of the tower structure under vertical loads, ensuring that the tower can effectively transfer vertical loads without excessive deformation or damage. Horizontal load resistance refers to the resistance of the tower under horizontal loads (such as wind, earthquake), ensuring that the tower will not tilt or become unstable due to horizontal loads.

[0046] Through mechanical simulations in static and dynamic scenarios, identify potential problems in the bearing and dynamic response of the tower and generate the second reinforcement requirements, such as strengthening the structural stiffness of certain parts, adding support points, adjusting the seismic design, etc.

[0047] Map the first reinforcement requirements and the second reinforcement requirements. The mapping process includes comprehensively analyzing the relationship between the two to determine the priority and applicability of the reinforcement measures. For example, by comparing the two requirements, identify the same or similar reinforcement measures and determine which parts need to be reinforced immediately and which can be used as preventive reinforcements. The mapped reinforcement requirements form a reinforcement requirement orientation, which includes the reinforcement requirements for each part of the tower. This reinforcement requirement orientation serves as the basis for formulating subsequent reinforcement strategies to ensure the rationality and priority of the reinforcement measures.

[0048] Furthermore, mapping the first reinforcement requirements and the second reinforcement requirements, as the reinforcement requirement orientation, includes:

[0049] Map the first reinforcement requirements and the second reinforcement requirements to determine multiple mapping pairs; identify the multiple mapping pairs. If the reinforcement requirements are consistent, add them to the reinforcement requirement orientation. If the reinforcement requirements are inconsistent, take the union of the mapped first reinforcement requirements and the second reinforcement requirements and add them to the reinforcement requirement orientation.

[0050] Compare and match the first reinforcement requirement with the second reinforcement requirement to find out the reinforcement requirements for each tower part under these two requirements. A mapping pair involves the reinforcement requirements of the same component under the two analyses. For example, a certain support point requires preventive reinforcement based on slight deformation and also requires enhanced support based on mechanical analysis. Through mapping, the first reinforcement requirement and the second reinforcement requirement for each tower part are corresponded to generate multiple mapping pairs, which reflect the reinforcement requirements of each part of the tower under two different analyses.

[0051] When the first reinforcement requirement and the second reinforcement requirement are consistent in some tower parts, it means that in this part of the area, whether from the perspective of preventive measures for slight anomalies or from the perspective of mechanical bearing, it is considered that this part requires reinforcement measures. In this case, add this requirement to the reinforcement requirement guidance as a clear reinforcement strategy guidance. For example, the offset of a certain support point causes slight deformation (the first reinforcement requirement), and it is also found in the mechanical simulation that there is a potential risk in its bearing capacity (the second reinforcement requirement). At this time, it can be determined that this support point needs to be reinforced.

[0052] When the first reinforcement requirement and the second reinforcement requirement are inconsistent in some tower parts, it means that different conclusions are given for the reinforcement requirements of this part under different analyses. For example, the non-standard condition characteristics of a certain component show a slight offset (the first reinforcement requirement), but the mechanical simulation analysis fails to identify obvious mechanical problems (the second reinforcement requirement). Even if no problems are shown in the second reinforcement requirement in terms of mechanical analysis, the first reinforcement requirement still indicates that there may be risks for this component. In this case, take the union of the first reinforcement requirement and the second reinforcement requirement, that is, combine the first reinforcement requirement and the second reinforcement requirement, comprehensively consider the two risks, and add these two reinforcement requirements to the reinforcement requirement guidance to ensure that all potential reinforcement requirements are considered and no possible risks are missed.

[0053] Furthermore, trigger the policy decision node to execute cascade decisions on the reinforcement method and reinforcement scale to determine the reinforcement strategy, including:

[0054] Traverse the reinforcement requirement guidance and perform clustering processing to determine multiple reinforcement requirement clusters; for the first reinforcement requirement cluster, based on the reinforcement method layer in the policy decision node, perform binary classification matching on any reinforcement requirement in the cluster to determine the target reinforcement method, where the first reinforcement requirement cluster is any one of the multiple reinforcement requirement clusters; guided by the target reinforcement method, based on the reinforcement scale layer in the policy decision node, perform reinforcement scale decision on the first reinforcement requirement cluster and add it to the reinforcement strategy.

[0055] Traversing the generated reinforcement requirements orientation, the reinforcement requirements orientation contains reinforcement requirements for multiple different parts, and each requirement corresponds to a different reinforcement direction. Clustering is an unsupervised learning method aimed at classifying reinforcement requirements into different clusters according to their similarities, thereby simplifying the subsequent formulation of reinforcement strategies. In this step, the requirements in the same cluster have a consistent reinforcement direction, that is, the reinforcement methods and objectives of these requirements are similar. Through clustering, the independent processing of each reinforcement requirement can be reduced, and similar reinforcement requirements can be merged into a cluster and uniformly adopted the same reinforcement method, without separately matching the reinforcement method for each requirement within the cluster.

[0056] Randomly extract the first reinforcement requirement cluster from multiple reinforcement requirement clusters as the current analysis object. In the reinforcement decision node, there is a reinforcement method layer, which contains different reinforcement methods, including the reinforcement of expanding the cross-section of welded steel pipes by symmetric welding and the reinforcement of expanding the cross-section by welding vertical ribs. For the first reinforcement requirement cluster, select any reinforcement requirement within the cluster for binary classification matching, which means that during the decision-making process, the reinforcement requirement is separately matched with different reinforcement methods to determine which reinforcement method is most suitable for this requirement. After completing the binary classification matching, determine the target reinforcement method for this reinforcement requirement cluster. Since the requirement directions within the same cluster are consistent, the target reinforcement method will be applicable to all requirements within the cluster, avoiding separately selecting the reinforcement method for each requirement.

[0057] The reinforcement scale layer is a module in the policy decision node, which is specifically used to determine the intensity and scope of reinforcement. The decision of the reinforcement scale takes into account the reinforcement requirements of different parts, including local reinforcement, overall reinforcement, or the intensity of reinforcement, etc. According to the specific situation of the reinforcement method and requirements, determine the reinforcement scale. For example, decide whether global reinforcement is required or only local reinforcement for a specific area. The decision of the reinforcement scale depends on factors such as the structural analysis results, the bearing capacity of the tower, and the urgency of the reinforcement requirements. After completing the reinforcement scale decision, add the determined reinforcement strategy (including the reinforcement method and the reinforcement scale) into the reinforcement strategy, and this strategy will provide specific guidance for subsequent reinforcement implementation.

[0058] Furthermore, after adding to the said reinforcement strategy, it includes:

[0059] Establish an interaction loop from the policy decision node to the said simulation decision channel; according to the said reinforcement strategy, perform distributed identification on the simplified model of the kiln tail tower in the said simulation decision channel to determine the reinforcement identification result; add the said reinforcement identification result to the said reinforcement strategy.

[0060] Establish an interaction loop that connects the policy decision node to the simulation decision channel. This interaction loop ensures continuous information exchange between the two, thereby optimizing the reinforcement strategy. Through the interaction loop, the policy decision node makes dynamic adjustments based on the feedback information from the simulation decision channel. For example, the simulation decision channel provides response data of the tower under different reinforcement schemes, and the policy decision node adjusts the reinforcement strategy according to this data. If the performance of the tower after reinforcement is not ideal, the interaction loop can prompt further optimization.

[0061] Distributed identification refers to visually displaying the reinforcement decisions in the simulation decision channel. Through distributed identification, each component of the tower model will receive corresponding identification according to its reinforcement requirements. For example, mark the support points, welding areas or other key parts that need to be reinforced. This identification helps to intuitively understand the reinforcement requirements of each part during actual construction. The reinforcement identification result is based on the analysis result of the simplified tower model in the simulation decision channel to determine which components need to be reinforced and how to reinforce them. This result will ultimately be transformed into a specific reinforcement implementation guidance plan, including the reinforcement location, reinforcement method and reinforcement strength, etc. Add the reinforcement identification result to the reinforcement strategy to provide a visual reinforcement strategy.

[0062] Furthermore, according to the reinforcement strategy, perform steel structure reinforcement treatment on the kiln tail tower, including:

[0063] Pop up and display the reinforcement strategy on the connection terminal interface of the edge processor; generate a reinforcement project plan according to the reinforcement strategy and perform steel structure reinforcement treatment on the kiln tail tower.

[0064] The reinforcement strategy is pop up and displayed on the connection terminal interface of the edge processor, which means that the reinforcement strategy will be presented to decision-makers, engineers or construction teams in a graphical or form format so that they can intuitively understand the reinforcement measures to be implemented. The pop-up display method helps to clearly display and quickly browse the reinforcement strategy during actual operation. Especially at the construction site or during the decision-making process, the detailed requirements for reinforcement can be viewed at any time.

[0065] Generate a detailed reinforcement project plan according to the formulated reinforcement strategy. This plan involves the specific implementation plan of the reinforcement work, including a detailed description of each reinforcement requirement and how to implement these reinforcement measures, specifically including construction steps, schedule, required materials, construction personnel, etc. According to the reinforcement project plan, perform steel structure reinforcement treatment on the kiln tail tower, that is, carry out the actual reinforcement work to ensure the smooth completion of the tower reinforcement work.

[0066] Furthermore, according to the reinforcement strategy, generate a reinforcement project plan, including:

[0067] Based on the steel structure of the kiln tail tower, the reinforcement strategy is integrated in a sequential manner for the reinforcement schedule to determine the reinforcement sequence; according to the reinforcement sequence, the registration of operation and maintenance personnel and construction equipment is carried out to determine the reinforcement project plan.

[0068] According to the reinforcement strategy, a schedule sequence of the reinforcement work is planned. During the reinforcement process, some works may affect each other, so it is necessary to reasonably arrange the sequence of reinforcement tasks. Exemplarily, the reinforcement of some parts may affect the reinforcement of other parts. For example, if the use of grouting or coating is involved in the reinforcement process, the curing time of these materials may affect whether this area can withstand vibration or other reinforcement work. In order to avoid damaging the previous reinforcement effect, it is necessary to leave a time interval between some reinforcement tasks; some reinforcement operations can be carried out synchronously, while some must be carried out in sequence. Therefore, it is necessary to reasonably arrange the time of synchronous operations and asynchronous operations.

[0069] Based on the sequential integration of the reinforcement schedule, the reinforcement sequence is determined. This sequence specifies the start and end times of each reinforcement task, and which tasks need to wait for other tasks to complete before starting, so as to avoid construction conflicts or unnecessary delays.

[0070] According to the determined reinforcement sequence, the registration of operation and maintenance personnel and construction equipment is carried out. The purpose of registration is to ensure that when each reinforcement task starts, the required construction personnel and equipment can arrive on time and complete the tasks efficiently. Specifically, according to the reinforcement sequence, it is determined which tasks require personnel with which skills. For example, some reinforcement tasks require professional welders, while other tasks require personnel for concrete construction or installation of support structures. The registration process ensures that the configuration of the required personnel is consistent with the time nodes of the reinforcement tasks; similarly, according to the reinforcement sequence, the arrangement and ensuring of the equipped construction equipment match the requirements of the reinforcement tasks. For example, lifting equipment is needed to install steel components during the reinforcement process, or welding equipment is needed to provide support during a specific period. Based on the registration of personnel and equipment, a detailed reinforcement project plan is generated, including the specific steps of construction, schedule, resource allocation, etc. It will help the construction team clarify the goals, coordinate the work, manage the resources, and provide detailed guidance in actual construction.

[0071] In summary, the steel structure reinforcement method for the kiln tail tower provided by the embodiments of the present application has the following technical effects:

[0072] By deploying monitoring devices to conduct a global scan of the kiln tail tower, the tower status data is determined, ensuring comprehensive monitoring of the tower conditions and enhancing real-time control of the tower's health status; by deploying a reinforcement decision-making unit in the edge processor and establishing interactive communication with the monitoring devices, the collected data can be quickly transmitted and processed, thus accelerating the formation of decisions. By importing the tower status data into the edge processor, local processing of the data and formulation of reinforcement decisions can be efficiently achieved without waiting for the response of the remote server, reducing decision-making delays and improving the real-time performance and flexibility of reinforcement decisions; based on the parallel execution of state element identification prediction and mechanical bearing simulation analysis through a dual decision-making channel, this dual parallel decision-making method ensures that the reinforcement requirements not only respond to the current condition of the tower but also consider the tower's performance under different working conditions, so that more scientific and accurate reinforcement decisions can be made based on comprehensive data and models; according to the reinforcement requirement orientation, trigger the strategy decision-making node to execute the cascade decision-making under the reinforcement method and reinforcement scale, determine the reinforcement strategy, and use it to carry out steel structure reinforcement treatment on the kiln tail tower. Through the automated decision-making process, the most suitable reinforcement method and reinforcement scale can be automatically selected. This automated decision-making process avoids errors in manual judgment and ensures the scientific nature and applicability of the reinforcement plan.

[0073] Embodiment 2, based on the same inventive concept as the method for steel structure reinforcement of a kiln tail tower in the foregoing embodiment, as Figure 2 shown, the embodiment of the present application provides a steel structure reinforcement system for a kiln tail tower, and the system includes:

[0074] A global scan module 10 for conducting a global scan of the kiln tail tower by deploying monitoring devices to determine the tower status data; a data import module 20 for deploying a reinforcement decision-making unit in the edge processor and establishing interactive communication with the monitoring devices to import the tower status data into the edge processor, wherein the reinforcement decision-making unit includes cascaded requirement decision-making nodes and strategy decision-making nodes; a cascade decision-making module 30 for parallelly executing state element identification prediction and mechanical bearing simulation analysis according to the dual decision-making channels in the requirement decision-making nodes to determine the reinforcement requirement orientation, trigger the strategy decision-making node to execute the cascade decision-making under the reinforcement method and reinforcement scale, and determine the reinforcement strategy, wherein the reinforcement method includes a first reinforcement method and a second reinforcement method; a reinforcement treatment module 40 for performing steel structure reinforcement treatment on the kiln tail tower according to the reinforcement strategy.

[0075] Furthermore, the first reinforcement method is to use welded steel pipes with symmetric welding to enlarge the cross-section for reinforcement, and the second reinforcement method is to weld vertical ribs to enlarge the cross-section for reinforcement.

[0076] Furthermore, the data import module 20 is used to perform the following operation steps:

[0077] Identify the tower state and predict its evolution, and supervise the training to identify the decision-making channel; based on the support system, natural vibration frequency and vibration mode, simplify the modeling of the kiln tail tower, and determine the simulation decision-making channel, where the support system is a central support system or an eccentric support system; parallelize the identification decision-making channel and the simulation decision-making channel, introduce channel interaction based on consistency determination, and determine the required decision-making nodes.

[0078] Furthermore, the cascaded decision module 30 is used to perform the following operation steps:

[0079] According to the identification decision-making channel, identify the non-standard condition features and determine the feature evolution of the tower state data, and determine the first reinforcement requirement; according to the simulation decision-making channel, with static and dynamic as scenarios, perform structural deformation simulation under mechanical load, and determine the second reinforcement requirement, where the mechanical load at least includes vertical load transfer and horizontal load resistance; map the first reinforcement requirement and the second reinforcement requirement as the reinforcement requirement orientation.

[0080] Furthermore, the cascaded decision module 30 is used to perform the following operation steps:

[0081] Map the first reinforcement requirement and the second reinforcement requirement to determine multiple mapping pairs; identify the multiple mapping pairs, if the reinforcement requirements are consistent, add them to the reinforcement requirement orientation, if the reinforcement requirements are inconsistent, take the union of the mapped first reinforcement requirement and the second reinforcement requirement, and add them to the reinforcement requirement orientation.

[0082] Furthermore, the cascaded decision module 30 is used to perform the following operation steps:

[0083] Traverse the reinforcement requirement orientation, perform clustering processing, and determine multiple reinforcement requirement clusters; for the first reinforcement requirement cluster, based on the reinforcement method layer in the policy decision-making node, perform binary classification matching on any reinforcement requirement in the cluster to determine the target reinforcement method, where the first reinforcement requirement cluster is any one of the multiple reinforcement requirement clusters; guided by the target reinforcement method, based on the reinforcement scale layer in the policy decision-making node, perform reinforcement scale decision on the first reinforcement requirement cluster, and add it to the reinforcement policy.

[0084] Furthermore, the cascaded decision module 30 is used to perform the following operation steps:

[0085] Establish an interaction loop from the policy decision-making node to the simulation decision-making channel; according to the reinforcement policy, perform distributed identification on the simplified model of the kiln tail tower in the simulation decision-making channel to determine the reinforcement identification result; add the reinforcement identification result to the reinforcement policy.

[0086] Furthermore, the reinforcement processing module 40 is used to perform the following operating steps:

[0087] On the connection terminal interface of the edge processor, display the reinforcement strategy in a pop-up window; according to the reinforcement strategy, generate a reinforcement project plan to perform steel structure reinforcement on the kiln tail tower.

[0088] Furthermore, the reinforcement processing module 40 is used to perform the following operating steps:

[0089] According to the steel structure of the kiln tail tower, integrally arrange the reinforcement time sequence of the reinforcement strategy in sequence to determine the reinforcement sequence; according to the reinforcement sequence, register the operation and maintenance personnel and construction equipment to determine the reinforcement project plan.

[0090] Through the foregoing detailed description of a method for steel structure reinforcement of a kiln tail tower in this specification, those skilled in the art can clearly know a steel structure reinforcement system for a kiln tail tower in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple. For related parts, refer to the description in the method part.

[0091] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for reinforcing the steel structure of a kiln tail tower, characterized in that: The method comprises: By deploying monitoring equipment, the kiln tail tower is scanned in full area to determine the tower status data; A reinforcement decision unit is deployed on the edge processor, and interactive communication is established with the monitoring equipment to import tower status data into the edge processor. The reinforcement decision unit includes a cascaded demand decision node and a policy decision node. The demand decision node analyzes the tower status data and identifies structural problems or potential risks of the tower. The policy decision node formulates a reinforcement plan based on the demand analysis results. According to the dual decision channel in the demand decision node, the state element identification prediction and mechanical load simulation analysis are performed in parallel to determine the reinforcement demand orientation, triggering the strategy decision node to execute cascade decisions under the reinforcement method and reinforcement scale to determine the reinforcement strategy, wherein the reinforcement method includes a first reinforcement method and a second reinforcement method. The first reinforcement method is to use symmetrically welded welded steel pipes to expand the cross-section reinforcement, and the second reinforcement method is to use welded vertical ribs to expand the cross-section reinforcement. The reinforcement scale is the strength and range of the reinforcement. According to the reinforcement strategy, the steel structure of the kiln tail tower is reinforced; The reinforcement decision unit includes cascaded demand decision nodes, including: Using tower state identification and evolution prediction, supervised training identifies decision channels; Based on the support system, natural frequency and vibration mode, a simplified model of the kiln tail tower is constructed to determine the simulation decision channel, wherein the support system is a central support system or an eccentric support system; The identification decision channel and the simulation decision channel are operated in parallel, and channel interaction based on consistency determination is introduced to determine the demand decision node; According to the dual decision channel in the demand decision node, the state element identification prediction and mechanical load simulation analysis are performed in parallel to determine the reinforcement demand orientation, including: According to the identification and decision-making channel, non-standard condition feature identification and feature evolution judgment are performed on the tower state data to determine a first reinforcement requirement; According to the simulation decision channel, a structural deformation simulation under mechanical load is performed using static and dynamic scenarios to determine a second reinforcement requirement, wherein the mechanical load at least includes vertical load transfer and horizontal load resistance; The first reinforcement requirement and the second reinforcement requirement are mapped to serve as the reinforcement requirement guide.

2. A method for reinforcing a kiln tail tower steel structure according to claim 1, characterized in that: Mapping the first reinforcement requirement and the second reinforcement requirement as the reinforcement requirement guide includes: mapping the first reinforcement requirement and the second reinforcement requirement to determine a plurality of mapping pairs; Identify the multiple mapping pairs, and if the reinforcement requirements are consistent, add them to the reinforcement requirement orientation; if the reinforcement requirements are inconsistent, take the union of the first reinforcement requirement and the second reinforcement requirement of the mapping, and add them to the reinforcement requirement orientation.

3. The method for reinforcing the steel structure of the kiln tail tower according to claim 1, characterized in that: The triggering strategy decision node executes cascade decisions under the reinforcement method and reinforcement scale to determine the reinforcement strategy, including: Traversing the reinforcement demand orientation, performing clustering processing, and determining multiple reinforcement demand clusters; For a first reinforcement requirement cluster, based on the reinforcement method layer in the policy decision node, a binary classification matching is performed on any reinforcement requirement in the cluster to determine a target reinforcement method, wherein the first reinforcement requirement cluster is any cluster among the multiple reinforcement requirement clusters; Guided by the target reinforcement method, based on the reinforcement scale layer in the policy decision node, a reinforcement scale decision is performed on the first reinforcement requirement cluster, and the reinforcement strategy is added.

4. A method for reinforcing a kiln tail tower steel structure according to claim 3, characterized in that: After adding the above hardening strategy, it includes: Establishing an interactive loop from the strategy decision node to the simulation decision channel; According to the reinforcement strategy, a distributed identification is performed on the simplified model of the kiln tail tower in the simulation decision channel to determine a reinforcement identification result, wherein the distributed identification refers to visually displaying the reinforcement decision in the simulation decision channel and identifying the reinforcement requirements of each component of the tower model; Add the reinforcement identification result to the reinforcement strategy.

5. The method for reinforcing the steel structure of the kiln tail tower according to claim 1, characterized in that: According to the reinforcement strategy, the steel structure of the kiln tail tower is reinforced, including: Displaying the reinforcement strategy in a pop-up window on the connection terminal interface of the edge processor; According to the reinforcement strategy, a reinforcement project plan is generated to reinforce the steel structure of the kiln tail tower.

6. A method for reinforcing the steel structure of a kiln tail tower according to claim 5, characterized in that: Generate a reinforcement project plan based on the reinforcement strategy, including: According to the steel structure of the kiln tail tower, the reinforcement strategy is sequentially integrated with the reinforcement schedule to determine the reinforcement sequence; According to the reinforcement sequence, the operation and maintenance personnel and the construction equipment are aligned to determine the reinforcement project plan.

7. A kiln tail tower steel structure reinforcement system, characterized in that: A system for implementing a kiln tail tower steel structure reinforcement method according to any one of claims 1 to 6, comprising: The full-area scanning module is used to perform a full-area scan of the kiln tail tower by deploying monitoring equipment to determine the tower status data; A data import module is used to deploy a reinforcement decision unit on the edge processor and establish interactive communication with the monitoring equipment to import tower status data into the edge processor. The reinforcement decision unit includes a cascaded demand decision node and a policy decision node. The demand decision node analyzes the tower status data and identifies structural problems or potential risks of the tower. The policy decision node formulates a reinforcement plan based on the demand analysis results. A cascade decision module is used to perform state factor identification and prediction and mechanical load simulation analysis in parallel based on the dual decision channel in the demand decision node, determine the reinforcement demand orientation, trigger the strategy decision node to execute cascade decision under the reinforcement method and reinforcement scale, and determine the reinforcement strategy, wherein the reinforcement method includes a first reinforcement method and a second reinforcement method, the first reinforcement method is to use symmetrically welded welded steel pipe to expand the cross-section reinforcement, and the second reinforcement method is to use welded vertical ribs to expand the cross-section reinforcement, and the reinforcement scale is the strength and range of the reinforcement; The reinforcement processing module is used to perform steel structure reinforcement processing on the kiln tail tower according to the reinforcement strategy.

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