Waste concrete recovery management method, system and equipment

Abstract

The invention provides a waste concrete recovery management method, system and equipment, and relates to the technical field of concrete recovery, and the method comprises the following steps: establishing a concrete structure distribution diagram and a non-concrete structure distribution diagram; generating a concrete performance identification graph; generating a demolition constraint feature identifier; and based on the demolition constraint feature identifier, the concrete structure distribution diagram and the non-concrete structure distribution diagram, optimizing a demolition sequence and demolition operation features by taking minimization of the impurity introduction amount as a target, and generating an optimal recovery processing scheme for recovery management. According to the method, the technical problems that in the prior art, due to the fact that accurate evaluation on the performance of the waste concrete structure is lacked, recycling treatment is lack of pertinence, a reasonable dismantling and recycling scheme cannot be designed according to the actual state of concrete, and the resource utilization efficiency is reduced can be solved, and the resource utilization efficiency is improved by optimizing the dismantling process. The technical effects of improving the recycling efficiency and quality of the waste concrete and realizing the maximization of resource utilization are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of concrete recycling, and in particular to a method, system and equipment for managing the recycling of waste concrete. Background Art

[0002] With the rapid development of the construction industry, the amount of construction waste continues to grow, of which waste concrete accounts for a large proportion. If waste concrete is directly landfilled without treatment, it will not only occupy a large amount of land resources, but also cause a certain degree of environmental pollution. Therefore, how to efficiently recycle waste concrete has become a research hotspot in the current field of construction waste treatment. Through scientific recycling management, not only can the resource utilization of construction waste be realized, but also the dependence on natural sand and gravel resources can be significantly reduced, alleviating the problem of resource shortage.

[0003] Traditional methods of recycling waste concrete mainly rely on mechanical crushing to process it into recycled aggregate for use in new concrete production. However, such methods generally lack accurate evaluation of the structural performance of waste concrete, resulting in a lack of targeted recycling and treatment, and an inability to design reasonable demolition and recycling plans based on the actual state of the concrete, thereby reducing resource utilization efficiency. Summary of the invention

[0004] The purpose of this application is to provide a waste concrete recycling management method, system and equipment to solve the technical problems in the prior art that the recycling treatment lacks specificity due to the lack of accurate evaluation of the structural performance of waste concrete, and it is impossible to design a reasonable demolition and recycling plan according to the actual state of the concrete, thereby reducing the efficiency of resource utilization.

[0005] In view of the above problems, the present application provides a waste concrete recycling management method, system and equipment.

[0006] In a first aspect, the present application provides a waste concrete recycling management method, which is implemented by a waste concrete recycling management system, wherein the waste concrete recycling management method includes: determining a building to be demolished, and obtaining the building structure information of the building to be demolished to divide the concrete structure and non-concrete structure, and establishing a concrete structure distribution map and a non-concrete structure distribution map; performing performance evaluation on the concrete structures in the concrete structure distribution map and marking them to generate a concrete performance identification map; connecting to a recycling management center to receive a concrete recycling matching list, performing demolition constraint feature matching on the concrete performance identification map, and generating a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; based on the demolition constraint feature identification, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, optimizing the demolition sequence and demolition operation features of the building to be demolished, and generating an optimal recycling processing plan for recycling management.

[0007] In a second aspect, the present application further provides a waste concrete recycling management system, which is used to execute a waste concrete recycling management method as described in the first aspect, wherein the waste concrete recycling management system includes: a concrete structure division module, which is used to determine the building to be demolished, and obtain the building structure information of the building to be demolished to divide the concrete structure and non-concrete structure, and establish a concrete structure distribution map and a non-concrete structure distribution map; a performance evaluation identification module, which is used to perform performance evaluation on the concrete structure in the concrete structure distribution map and then identify it, and generate a concrete performance identification map; a demolition constraint feature matching module, which is used to connect to the recycling management center to receive a concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification map, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; a recycling processing optimization module, which is used to optimize the demolition sequence and demolition operation features of the building to be demolished based on the demolition constraint feature identification, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, and generate an optimal recycling processing plan for recycling management.

[0008] In a third aspect, the present application further provides an electronic device, including: At least one processor; a memory in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of the waste concrete recycling management method described in any one of the first aspects above.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: Determine the building to be demolished, and obtain the building structure information of the building to be demolished to divide the concrete structure and non-concrete structure, establish a concrete structure distribution map and a non-concrete structure distribution map; perform performance evaluation on the concrete structure in the concrete structure distribution map and then mark it to generate a concrete performance identification map; connect to the recycling management center to receive the concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification map, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; based on the demolition constraint feature identification, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, optimize the demolition sequence and demolition operation features of the building to be demolished, and generate the optimal recycling treatment plan for recycling management. By obtaining the structural information of the building to be demolished and generating a concrete and non-concrete structure distribution map, combining the concrete performance identification map with the matching list of the recycling management center, a demolition constraint feature identification is generated to meet the diversified recycling needs, minimize the amount of impurities introduced, optimize the demolition process, and achieve the technical effect of improving the recycling efficiency and quality of waste concrete and maximizing resource utilization.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 The present invention is a flowchart of a waste concrete recycling management method.

[0013] Figure 2 This is a structural schematic diagram of a waste concrete recycling management system for this application.

[0014] Figure 3This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0015] Explanation of the reference numerals: concrete structure division module 11, performance evaluation identification module 12, demolition constraint feature matching module 13, recycling processing optimization module 14, bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 305. DETAILED DESCRIPTION

[0016] This application provides a waste concrete recycling management method, system and equipment to solve the technical problem in the prior art that the recycling treatment lacks pertinence due to the lack of accurate evaluation of the performance of waste concrete structures, and it is impossible to design a reasonable demolition and recycling plan according to the actual state of concrete, thereby reducing the efficiency of resource utilization. By obtaining the structural information of the building to be demolished and generating a distribution map of concrete and non-concrete structures, combining the concrete performance identification map with the matching list of the recycling management center, a demolition constraint feature identification is generated to meet the diversified recycling needs. By optimizing the demolition path and operation characteristics, the amount of impurities introduced is minimized, and the demolition process is optimized, so as to improve the recycling efficiency and quality of waste concrete and achieve the technical effect of maximizing resource utilization.

[0017] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0018] For example, please refer to the attached Figure 1 The present application provides a waste concrete recycling management method, wherein the waste concrete recycling management method is applied to a waste concrete recycling management system, and the waste concrete recycling management method specifically includes the following steps: Step 1: Determine the building to be demolished, obtain the building structure information of the building to be demolished, divide it into concrete structure and non-concrete structure, and establish a concrete structure distribution map and a non-concrete structure distribution map.

[0019] Specifically, in the management of waste concrete recycling, the first step is to determine the buildings that need to be demolished and obtain their comprehensive building structure information. This process usually relies on the comprehensive use of architectural blueprints, building information modeling (BIM) technology and on-site survey data. Building structure information refers to the material and structural properties of each part of the building, including load-bearing components, partition components and decorative materials. Through this information, concrete structures and non-concrete structures can be further divided. Concrete structures usually include load-bearing components such as beams, columns, slabs and foundations, while non-concrete structures may include brick walls, steel frames and decorative materials. In order to achieve this division, laser scanning technology can be used to perform high-precision three-dimensional modeling of the entire building, and combined with material analysis, a building structure diagram reflecting the distribution of various materials can be generated. For example, an X-ray fluorescence spectrometer is used to perform non-destructive testing of materials in specific parts to accurately distinguish the composition characteristics of concrete and non-concrete. Subsequently, based on the division results, a concrete structure distribution map and a non-concrete structure distribution map are established. The concrete structure distribution map reflects the location, size and shape information of concrete components in the building, usually visualized in two-dimensional or three-dimensional form; the non-concrete structure distribution map indicates the distribution range and related properties of non-concrete materials. Taking a high-rise building as an example, through three-dimensional laser scanning and material distribution analysis, it was found that its frame structure is composed of high-performance concrete, accounting for 68% of the total components of the building; the exterior wall decoration and internal partitions are mainly made of steel and gypsum board, accounting for about 32%. These distribution maps not only provide intuitive basic data for subsequent recycling and processing, but also lay a key basis for the optimization of demolition plans.

[0020] Step 2: After evaluating the performance of the concrete structures in the concrete structure distribution map, the concrete structures are marked to generate a concrete performance mark map.

[0021] Specifically, the purpose of concrete performance evaluation is to understand its current state, including its composition, strength, durability, and possible internal and external defects, which provides a basis for subsequent recycling. First, the initial composition and performance indicators of concrete are collected by combining on-site sampling with laboratory analysis. For example, the main chemical components such as calcium oxide (CaO) and silicate (SiO2) in concrete are detected by energy dispersive X-ray fluorescence spectrometer (EDXRF); at the same time, its compressive strength index is measured using standard compressive test equipment to record its initial performance. Subsequently, the concrete structure is inspected for external and internal defects. External defect detection usually uses laser scanning technology to identify parameters such as crack width and depth. For example, laser scanning of a certain area shows that the crack depth is between 5-10mm, which may have a certain impact on the local bearing capacity; while internal defect detection relies on ultrasonic detection technology to detect potential problems such as voids or spalling. For example, ultrasonic imaging analysis reveals that there are 3% of voids in a certain concrete structure, which indicates that there are certain risks in its durability. Based on the above test results, combined with the initial composition and performance indicators, a performance degradation analysis model is used to conduct a comprehensive performance evaluation of the concrete structure. The model is usually trained through historical waste concrete test data to predict the degree of performance degradation of the current concrete. For example, the model evaluation results show that the compressive strength of a high-performance concrete has degraded from the initial 60MPa to 45MPa, and the durability level has dropped to an ordinary level. Finally, the performance evaluation results are marked on the concrete structure distribution map to generate a concrete performance identification map. The identification map displays the performance information of each concrete component in a visual way, such as using color gradients to represent different strength levels, or using icons to mark the distribution of cracks and voids. Such a performance identification map provides clear guidance for the precise control of the demolition process and the classification of material recycling.

[0022] Step 3: Connect to the recycling management center to receive the concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification map, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints.

[0023] Specifically, the concrete recycling matching list defines a variety of performance requirements and demolition processing constraints according to different recycling needs. Combined with the concrete performance identification map, the demolition constraint features can be matched and the corresponding demolition constraint feature identification can be generated. The concrete recycling matching list covers a wide range of application needs. For example, for concrete with low strength degradation, it can be used to produce recycled concrete aggregates. Such applications have relatively loose requirements for the demolition process and only need to minimize the mixing of impurities. For recycling needs that require the integrity of large blocks to be retained, such as cutting concrete into large blocks of stone for landscape decoration or building exterior walls, it is required to avoid excessive fragmentation or cracks during the demolition process. First, based on the concrete performance identification map, the concrete components in the building are associated with the performance requirements in the recycling matching list. For example, the identification map shows that the performance grade of a column is C40, and the structure is intact and has no obvious cracks, which is suitable for the recycling of large blocks of stone; while the performance of a beam degrades to C20, with concentrated cracks and internal spalling, which is suitable for crushing and use in recycled aggregate production. Next, the demolition constraint feature identification is generated based on the matching results. For the demand for recycled concrete, the focus of demolition is on efficient separation and impurity control, and mechanical crushing is allowed; for the demand for large blocks of stone, precise cutting technology is required. For example, the use of diamond wire saw cutting can minimize vibration and protect the integrity of concrete. Finally, the demolition constraint feature identification is represented in a graphical or digital form on the concrete performance identification diagram, such as using colors or symbols to indicate different demolition requirements. The identification results of a certain building show that most of its frame structure is suitable for direct cutting for large block stone recycling (red identification), while the floor concrete needs to be crushed as recycled aggregate (blue identification). This matching and identification process not only optimizes the demolition process, but also improves the resource utilization efficiency of waste concrete.

[0024] Step 4: Based on the demolition constraint feature identifier, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, the demolition sequence and demolition operation features of the building to be demolished are optimized, and the optimal recycling treatment plan is generated for recycling management.

[0025] Specifically, the core of demolition optimization lies in the reasonable zoning and orderly demolition of building structures. Through the identification of demolition constraint features, the demolition requirements of different components can be clarified. For example, the load-bearing columns of a building are suitable for large-block stone recycling, and their demolition requires low-vibration cutting technology to ensure structural integrity; while the floor concrete is used for recycled aggregate production and can be quickly separated by mechanical crushing. The concrete structure distribution map provides spatial distribution information of load-bearing and non-load-bearing components, while the non-concrete structure distribution map indicates the specific locations of other materials (such as steel bars, brick walls, and decorative materials). With the optimization goal of minimizing the amount of impurities introduced, the following constraints are preferentially met in the demolition sequence: first, non-load-bearing structures (such as partition walls and decorative layers) are demolished to avoid interfering with the stability of the load-bearing structure; then, the load-bearing parts are gradually demolished in a top-down and outside-in order to ensure construction safety and reduce the possibility of waste mixing. For example, in the demolition process of a high-rise building, a grabber is first used to remove the surface decorative panels and separate the brick wall fragments; then, the beam and column components are accurately cut by a robotic arm to avoid mixing steel bars with concrete blocks. A quantitative analysis of the amount of impurities introduced by different demolition methods can be conducted. An impurity introduction analysis model can be constructed through historical data, and predictions can be made based on the differences in demolition paths and equipment selection. The demolition path can be optimized to select the solution with the least amount of impurities introduced. Finally, the generated optimal recycling and treatment solution is presented in the form of an operational guidance document or digital workflow, which lists in detail the demolition order, recommended equipment, and recycling and treatment paths for each component. For example, one solution recommends demolishing the non-concrete decorative layer on the top of the building first, then using efficient cutting equipment to separate the main frame concrete, and installing sorting equipment on the ground to immediately screen out the steel bars and concrete aggregates. This optimization process ensures efficient coordination between demolition and recycling, which not only improves the resource utilization rate of construction waste, but also reduces subsequent processing costs, providing a basis for the dismantling of green buildings and the development of a circular economy.

[0026] Furthermore, step two of the present application includes: collecting the initial concrete composition and initial performance indicators of the concrete structure in the concrete structure distribution map; performing external and internal defect detection on the concrete structure to generate internal and external defect information; performing performance degradation analysis based on the internal and external defect information, the initial concrete composition and the initial performance indicators to generate a performance evaluation result; and identifying the concrete structure in the concrete structure distribution map with the performance evaluation result to generate the concrete performance identification map.

[0027] Specifically, first, select the concrete structure from the concrete structure distribution map, collect the initial concrete composition and initial performance indicators, where the initial concrete composition and initial performance indicators refer to the initial composition information and performance information of the concrete structure when it was just completed and used in the past, which can be obtained by tracing back the historical building record data. Then, the concrete structure is inspected for external and internal defects. External defect detection uses laser scanning technology, and its high-precision data can be used to identify the width and depth of cracks. For example, a laser scanning result shows that there are multiple surface cracks with a width between 0.3mm and 1mm, two of which are more than 15mm deep. Internal defect detection uses ultrasonic detection technology, and uses waveform changes to analyze the location and size of internal defects such as voids and spalling. For example, ultrasonic testing reveals that there are dispersed voids of about 5% volume in a column, which may affect the bearing capacity.

[0028] The internal and external defect information is combined with the initial composition and performance indicators, and input into the performance degradation analysis model for evaluation. The model is obtained through big data training to predict the degradation trend and give the performance evaluation results. For example, based on historical data, the model analysis shows that the compressive strength of a component has dropped from the original 58MPa to 45MPa, and it is inferred that its durability level has dropped from high durability to medium durability. In view of the combined influence of crack depth and voids, the model also suggests that the subsequent use of the component may require reinforcement. Finally, according to the performance evaluation results, the components in the concrete structure distribution map are marked one by one to generate a concrete performance identification map. For example, the identification map uses color gradients (green represents high performance, yellow represents medium performance, and red indicates severe degradation) and symbol annotations (such as "⊗" represents voids and "—" represents cracks) to intuitively display the state of concrete. This identification map provides an important basis for demolition planning and recycling management, and significantly improves the efficiency and scientificity of resource utilization of waste concrete.

[0029] Furthermore, the present application also includes the following steps: obtaining a historical waste concrete performance test record set, wherein the historical waste concrete performance test record set includes internal and external defect records, initial concrete composition records and performance degradation result records; based on a neural network, using the historical waste concrete performance test record set as sample data to train a performance degradation analysis model; analyzing the internal and external defect information, the initial concrete composition and the initial performance index through the performance degradation analysis model, and outputting the performance evaluation result.

[0030] Specifically, in order to accurately evaluate the performance degradation of waste concrete, it is necessary to first build a performance degradation analysis model, the basis of which is to obtain and organize the historical waste concrete performance test record set. The historical waste concrete performance test record set usually comes from a large number of demolished building performance test data, including internal and external defect records, initial concrete composition records and performance degradation result records. The internal and external defect records include data such as crack size, void volume, and spalling area; the initial concrete composition records cover the proportion information of chemical components, such as key components such as calcium oxide and silicate; the performance degradation result records show the changes in performance indicators such as compressive strength and elastic modulus during the service life of the component. For example, a historical record set may contain the following data: concrete with an initial compressive strength of 60MPa degrades to 42MPa after 15 years of use, with 5% internal voids and 0.5mm deep surface cracks.

[0031] Based on the sorted record set, a neural network is used to train the performance degradation analysis model. The training process uses the historical waste concrete performance test record set as sample data, and builds a model through supervised learning methods. The input data includes the initial composition of concrete, initial performance indicators, defect characteristics (such as crack width and depth, void ratio), and the output data is the corresponding performance degradation results (such as compressive strength reduction value, durability grade change). The neural network gradually extracts the complex relationship between input data and performance degradation through multi-layer nonlinear mapping. For example, the trained model can predict that concrete with a high proportion of calcium oxide (more than 50%) and an initial compressive strength of 55MPa may lose strength by about 18%-25% when the void volume accounts for 3% and the crack width is 0.4mm.

[0032] Once the model training is completed, it can be used to analyze the actual detected concrete data. For example, for a concrete structure currently being tested, its initial composition is CaO48%, SiO239%, and the initial compressive strength is 58MPa; internal and external defect information shows that there is a 2% void volume and multiple cracks with a depth of 10mm. After inputting these data into the model, the model outputs the performance evaluation results: the current component compressive strength has degraded to 44MPa, and the durability level is expected to drop to a medium level. Through this process, not only can the performance of concrete be predicted, but also accurate data support can be provided for subsequent recycling and utilization, improving the efficiency and resource level of waste concrete management.

[0033] Furthermore, the present application also includes the following steps: performing laser scanning on the concrete structure, identifying crack width and depth based on the laser scanning results, and generating external defect information; performing ultrasonic testing on the concrete structure, identifying internal voids and spalling based on the ultrasonic testing results, and generating internal defect information; and generating the internal and external defect information using the external defect information and the internal defect information.

[0034] Specifically, in order to comprehensively evaluate the state of waste concrete, it is necessary to conduct external and internal defect detection on the concrete structure and integrate and generate internal and external defect information. External defect detection mainly uses laser scanning technology, while internal defect detection relies on ultrasonic detection technology. The combination of the two can accurately reflect the structural integrity of concrete. Laser scanning technology is a high-precision non-contact measurement method that can perform a full-scale scan of the concrete surface and capture subtle geometric changes. For example, using a high-resolution three-dimensional laser scanner, the width and depth of cracks on the concrete surface can be accurately measured. By analyzing the laser reflection data, the morphological characteristics of the cracks can be identified, such as the average width of the cracks is 0.3mm and the depth range is 5mm to 12mm. For internal defects in concrete, ultrasonic detection technology is a common method. By sending high-frequency ultrasonic waves into the concrete and analyzing the propagation speed and attenuation of the waveform, it can be determined whether there are problems such as cavities and spalling inside. The abnormal slowdown of ultrasonic propagation speed often indicates the existence of internal defects. For example, in the detection of a concrete column, the ultrasonic echo showed that the wave velocity at a certain position dropped by 30%, and further imaging analysis showed that there was a cavity with a diameter of 8cm in the area. Similarly, the detection of the spalled area is also based on the change in the intensity of the reflected signal of the wave.

[0035] The external defect information (such as crack width and depth) generated by laser scanning is integrated with the internal defect information (such as void volume and spalling area) generated by ultrasonic testing to form complete internal and external defect information. The integrated data is displayed through a digital platform, usually with the location and geometric features of external cracks marked in three-dimensional graphics, and the volume and distribution of internal defects are superimposed. For example, the integration results of a certain building show that there are multiple cracks on the surface of its load-bearing beams (maximum depth 10mm), and there are 2% of the volume of voids inside, and the spalling area is concentrated at the end. This comprehensive internal and external defect detection method provides key data support for performance evaluation and the formulation of demolition plans, and also lays the foundation for the recycling of waste concrete.

[0036] Furthermore, step four of the present application includes: generating load-bearing identifications for the load-bearing structures and non-load-bearing structures in the concrete structure distribution map and the non-concrete structure distribution map; configuring demolition sequence constraint features, wherein the demolition sequence constraint features include at least non-load-bearing structure priority constraints, top-down constraints, and outside-in constraints; optimizing the demolition path based on the load-bearing identifications, the demolition sequence constraint features, the demolition constraint feature identifications, the concrete structure distribution map, and the non-concrete structure distribution map to obtain the optimal demolition path corresponding to the minimum amount of impurity introduction; and generating the optimal recycling and treatment plan using the optimal demolition path.

[0037] Specifically, based on the concrete structure distribution map and the non-concrete structure distribution map, the load-bearing components (such as beams, columns, core tube walls) and non-load-bearing components (such as partition walls and decorative panels) are distinguished, and load-bearing labels are generated for them. For example, the structural analysis of a building shows that its frame beams and columns are the main load-bearing components, which are cast with C40 grade concrete, while the partition walls are made of lightweight bricks and constitute the non-load-bearing parts. The load-bearing components are marked with dark colors, and the non-load-bearing parts are marked with light colors to intuitively distinguish the two types of components. Next, the demolition sequence constraint feature is configured to ensure that the demolition process meets the requirements of mechanical stability and is convenient for recycling management. Common constraint features include the following three points: non-load-bearing structure priority constraint, priority is given to the demolition of non-load-bearing components, such as partition walls and decorative materials, to reduce interference with load-bearing components; top-down constraint, first demolish the top of the building, and proceed downward layer by layer to avoid the instability of the upper structure due to the removal of the lower structure; from outside to inside constraint, gradually demolish from the outside of the building to the inside to ensure the safety of the demolition operation space. For example, the top-floor glass curtain wall and exterior decorative panels of a high-rise building were demolished first, followed by the internal partition walls and load-bearing columns layer by layer.

[0038] Based on the load-bearing identification and demolition sequence constraint characteristics, combined with the demolition constraint characteristic identification (such as large block preservation requirements, impurity control requirements, etc.), the demolition path is optimized and calculated to obtain the optimal path corresponding to the minimum impurity introduction amount, and the component position, the adaptability of the demolition tools, and the impurity introduction amount of different paths are comprehensively considered. For example, an experiment analyzed the impact of different demolition sequences on the impurity mixing rate. The results showed that the mixing rate of concrete and other materials can be reduced to 3% by first processing the external decoration and then dismantling the internal load-bearing components, while the opposite order may be as high as 12%. Finally, based on the optimization results, the optimal recycling and treatment plan is generated. The plan clearly defines the demolition object, equipment used, and recycling method for each step. For example, for non-load-bearing partition walls, grabbers are used for rapid removal, and bricks and steel bars are immediately separated by sorting equipment; for load-bearing beams and columns, diamond cutting technology is used to maintain the integrity of large blocks to meet the subsequent recycling needs of decorative stones. In actual operation, a building that was demolished according to the optimal path greatly reduced the subsequent processing costs of mixed materials and ensured the safety of building demolition and resource utilization efficiency.

[0039] Furthermore, the present application also includes the following steps: based on the load-bearing identification, the demolition sequence constraint characteristics, the demolition constraint characteristic identification, the concrete structure distribution map and the non-concrete structure distribution map, demolition analysis is performed according to the structural execution constraints to generate multiple demolition paths; the impurity introduction amount of the multiple demolition paths is predicted by the impurity introduction analysis model, and the path corresponding to the minimum impurity introduction amount is obtained as the optimal demolition path; wherein the impurity introduction analysis model calls a historical impurity introduction sample library, retrieves the impurity introduction amount identification information of the historical demolition paths in the historical impurity introduction sample library whose demolition structure sequence similarity with the multiple demolition paths meets a preset similarity, and generates the impurity introduction amount corresponding to the multiple demolition paths.

[0040] The structural execution constraint includes a first constraint and a second constraint, wherein the first constraint is to independently demolish concrete structures corresponding to the same demolition constraint feature, and the second constraint is to independently or parallelly demolish non-concrete structures.

[0041] Specifically, when formulating a building demolition plan, based on the load-bearing mark, demolition sequence constraint feature, demolition constraint feature mark, concrete structure distribution map, and non-concrete structure distribution map, demolition analysis is performed according to the structural execution constraints, which can generate multiple potential demolition paths, and select the optimal path in combination with the impurity introduction analysis model, so as to effectively realize resource recovery. The demolition analysis first follows the structural execution constraints. Among them, the structural execution constraints include: the first constraint, that is, the concrete structure corresponding to the same demolition constraint feature is demolished independently; the second constraint, that is, the non-concrete structure can be demolished independently or in parallel, such as the demolition of the decorative layer and brick partition wall can be carried out simultaneously with certain exterior wall operations to improve efficiency. Through these constraints, the demolition process ensures both structural stability and recycling needs.

[0042] Based on the above structural execution constraints, the building structure is demolished and analyzed to generate multiple demolition paths, which are different combinations of the demolition order of each part of the building. For example, path A adopts a demolition strategy from the outside to the inside, giving priority to removing external decorations and walls, and then demolishing internal partitions and load-bearing components; path B completes the demolition of all non-load-bearing components on the top floor and then separates beams and columns layer by layer. In order to select the best path, the impurity introduction analysis model needs to be used to predict the amount of impurities introduced by different paths. The impurity introduction analysis model is based on the historical impurity introduction sample library, which records a large number of data such as path design, execution sequence, and impurity mixing rate of actual demolition projects. The model retrieves historical paths with a similarity higher than a preset threshold (such as 90%) with the current path, extracts the corresponding impurity introduction amount identification information, and comprehensively generates the prediction results of multiple paths. For example, the historical similar path of path A shows that the impurity introduction amount is 5%, and the corresponding one of path B is 8%. By comparing the prediction results of the impurity introduction amount of multiple paths, the path with the smallest introduction amount is selected as the optimal demolition path. For example, assuming that the introduction amount of path A is the lowest, only 4.5%, the model will determine it as the best solution, and finally generate a specific operation plan based on the optimal demolition path. For example, for path A, it is stipulated that the exterior wall decorative panels are first removed by a robotic arm, and then the internal partition walls are separated and crushed, and the load-bearing beams and columns are precisely cut on the top floor. This path optimization not only significantly reduces the burden of secondary sorting of recycled materials, but also improves the economic and environmental benefits of resource utilization, providing a new example for intelligent and refined building demolition.

[0043] In summary, the waste concrete recycling management method provided by this application has the following technical effects: Determine the building to be demolished, and obtain the building structure information of the building to be demolished to divide the concrete structure and non-concrete structure, establish a concrete structure distribution map and a non-concrete structure distribution map; perform performance evaluation on the concrete structure in the concrete structure distribution map and then mark it to generate a concrete performance identification map; connect to the recycling management center to receive the concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification map, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; based on the demolition constraint feature identification, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, optimize the demolition sequence and demolition operation features of the building to be demolished, and generate the optimal recycling treatment plan for recycling management. By obtaining the structural information of the building to be demolished and generating a concrete and non-concrete structure distribution map, combining the concrete performance identification map with the matching list of the recycling management center, a demolition constraint feature identification is generated to meet the diversified recycling needs, minimize the amount of impurities introduced, optimize the demolition process, and achieve the technical effect of improving the recycling efficiency and quality of waste concrete and maximizing resource utilization.

[0044] Embodiment 2: Based on the same inventive concept as the waste concrete recycling management method in the above embodiment, the present application also provides a waste concrete recycling management system, see the attached Figure 2 The waste concrete recycling management system comprises: The concrete structure division module 11 is used to determine the building to be demolished, obtain the building structure information of the building to be demolished, divide the concrete structure and the non-concrete structure, and establish a concrete structure distribution map and a non-concrete structure distribution map.

[0045] The performance evaluation and identification module 12 is used to identify the concrete structures in the concrete structure distribution map after evaluating their performance, and generate a concrete performance identification map.

[0046] The demolition constraint feature matching module 13 is used to connect to the recycling management center to receive the concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification map, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints.

[0047] The recycling processing optimization module 14 is used to optimize the demolition sequence and demolition operation characteristics of the building to be demolished based on the demolition constraint feature identifier, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, and generate an optimal recycling processing plan for recycling management.

[0048] Furthermore, the performance evaluation identification module 12 in the waste concrete recycling management system is also used to: collect the initial concrete composition and initial performance indicators of the concrete structure in the concrete structure distribution map; perform external and internal defect detection on the concrete structure to generate internal and external defect information; perform performance degradation analysis based on the internal and external defect information, the initial concrete composition and the initial performance indicators to generate a performance evaluation result; identify the concrete structure in the concrete structure distribution map with the performance evaluation result to generate the concrete performance identification map.

[0049] Furthermore, the performance evaluation identification module 12 in the waste concrete recycling management system is also used to: obtain a historical waste concrete performance detection record set, wherein the historical waste concrete performance detection record set includes internal and external defect records, initial concrete composition records and performance degradation result records; based on a neural network, use the historical waste concrete performance detection record set as sample data to train a performance degradation analysis model; analyze the internal and external defect information, the initial concrete composition and the initial performance index through the performance degradation analysis model, and output the performance evaluation result.

[0050] Furthermore, the performance evaluation identification module 12 in the waste concrete recycling management system is also used to: perform laser scanning on the concrete structure, identify crack width and depth based on the laser scanning results, and generate external defect information; perform ultrasonic testing on the concrete structure, identify internal voids and spalling based on the ultrasonic testing results, and generate internal defect information; and generate the internal and external defect information using the external defect information and the internal defect information.

[0051] Furthermore, the recycling and processing optimization module 14 in the waste concrete recycling management system is also used to: generate load-bearing identification for the load-bearing structures and non-load-bearing structures in the concrete structure distribution map and the non-concrete structure distribution map; configure demolition sequence constraint features, wherein the demolition sequence constraint features at least include non-load-bearing structure priority constraints, top-down constraints, and outside-in constraints; optimize the demolition path based on the load-bearing identification, the demolition sequence constraint features, the demolition constraint feature identification, the concrete structure distribution map, and the non-concrete structure distribution map to obtain the optimal demolition path corresponding to the minimum impurity introduction amount; and generate the optimal recycling and processing plan with the optimal demolition path.

[0052] Furthermore, the recycling and processing optimization module 14 in the waste concrete recycling management system is also used to: based on the load-bearing identification, the demolition sequence constraint characteristics, the demolition constraint characteristic identification, the concrete structure distribution map and the non-concrete structure distribution map, perform demolition analysis according to the structural execution constraints to generate multiple demolition paths; predict the impurity introduction amount of the multiple demolition paths through the impurity introduction analysis model, and obtain the path corresponding to the minimum impurity introduction amount as the optimal demolition path; wherein the impurity introduction analysis model calls the historical impurity introduction sample library, retrieves the impurity introduction amount identification information of the historical demolition path in the historical impurity introduction sample library and the demolition structure sequence similarity of the multiple demolition paths meets the preset similarity, and generates the impurity introduction amount corresponding to the multiple demolition paths.

[0053] Furthermore, the recycling and processing optimization module 14 in the waste concrete recycling management system is also used for: the structural execution constraint includes a first constraint and a second constraint, wherein the first constraint is to independently demolish the concrete structure corresponding to the same demolition constraint feature, and the second constraint is to independently or parallelly demolish the non-concrete structure.

[0054] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The waste concrete recycling management method and specific examples in the first embodiment are also applicable to the waste concrete recycling management system in the present embodiment. Through the above detailed description of the waste concrete recycling management method, those skilled in the art can clearly understand the waste concrete recycling management system in the present embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0055] Embodiment 3, based on the inventive concept of a waste concrete recycling management method in the aforementioned embodiment 1, the present application also provides an electronic device, comprising: at least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of the waste concrete recycling management method described in any one of the aforementioned embodiments 1.

[0056] Attached Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of this application. Figure 3In the embodiment, the bus architecture is represented by bus 300, which may include any number of interconnected buses and bridges, and bus 300 connects various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0057] 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 apparent to those skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for recycling and managing waste concrete, characterized in that: include: Determine the building to be demolished, obtain the building structure information of the building to be demolished, divide it into concrete structure and non-concrete structure, and establish a concrete structure distribution map and a non-concrete structure distribution map; After evaluating the performance of the concrete structures in the concrete structure distribution map, marking them, and generating a concrete performance marking map; Connecting to a recycling management center to receive a concrete recycling matching list, performing demolition constraint feature matching on the concrete performance identification diagram, and generating a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; Based on the demolition constraint feature identifier, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, the demolition sequence and demolition operation features of the building to be demolished are optimized, and an optimal recycling treatment plan is generated for recycling management.

2. A waste concrete recycling management method as claimed in claim 1, characterized in that: After the concrete structures in the concrete structure distribution map are evaluated for performance, they are marked to generate a concrete performance mark map, including: collecting initial concrete composition and initial performance index of the concrete structure in the concrete structure distribution map; Performing external and internal defect detection on the concrete structure to generate internal and external defect information; Performing a performance degradation analysis based on the internal and external defect information, the initial concrete composition and the initial performance index to generate a performance evaluation result; The concrete structures in the concrete structure distribution map are marked with the performance evaluation results to generate the concrete performance mark map.

3. A waste concrete recycling management method as claimed in claim 2, characterized in that: Based on the internal and external defect information, the initial concrete composition and the initial performance index, a performance degradation analysis is performed to generate a performance evaluation result, including: Acquire a historical waste concrete performance test record set, wherein the historical waste concrete performance test record set includes internal and external defect records, initial concrete composition records, and performance degradation result records; Based on a neural network, the performance degradation analysis model is trained using the historical waste concrete performance detection record set as sample data; The internal and external defect information, the initial concrete composition and the initial performance index are analyzed by the performance degradation analysis model to output the performance evaluation result.

4. A waste concrete recycling management method as claimed in claim 2, characterized in that: Performing external and internal defect detection on the concrete structure to generate internal and external defect information, including: Performing laser scanning on the concrete structure, identifying crack width and depth based on the laser scanning result, and generating external defect information; Performing ultrasonic testing on the concrete structure, identifying internal voids and spalling according to the ultrasonic testing results, and generating internal defect information; The internal and external defect information is generated using the external defect information and the internal defect information.

5. A waste concrete recycling management method as claimed in claim 1, characterized in that: Based on the demolition constraint feature identifier, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, the demolition sequence and demolition operation features of the building to be demolished are optimized to generate an optimal recycling treatment plan, including: Generate a load-bearing mark for the load-bearing structures and the non-load-bearing structures in the concrete structure distribution map and the non-concrete structure distribution map; Configuring a demolition order constraint feature, wherein the demolition order constraint feature at least includes a non-load-bearing structure priority constraint, a top-down constraint, and an outside-in constraint; Based on the load-bearing mark, the demolition sequence constraint feature, the demolition constraint feature mark, the concrete structure distribution map, and the non-concrete structure distribution map, a demolition path optimization is performed to obtain an optimal demolition path corresponding to a minimum amount of impurities introduced; The optimal recycling solution is generated based on the optimal demolition path.

6. A waste concrete recycling management method as claimed in claim 5, characterized in that: Based on the load-bearing mark, the demolition sequence constraint feature, the demolition constraint feature mark, the concrete structure distribution map, and the non-concrete structure distribution map, a demolition path optimization is performed to obtain an optimal demolition path corresponding to a minimum amount of impurities introduced, including: Based on the load-bearing identifier, the demolition sequence constraint feature, the demolition constraint feature identifier, the concrete structure distribution map, and the non-concrete structure distribution map, a demolition analysis is performed according to the structural execution constraints to generate multiple demolition paths; Predicting the amount of impurity introduction of the multiple demolition paths through an impurity introduction analysis model, and obtaining a path corresponding to a minimum amount of impurity introduction as the optimal demolition path; Among them, the impurity introduction analysis model calls the historical impurity introduction sample library, retrieves the impurity introduction amount identification information whose historical demolition paths in the historical impurity introduction sample library and the demolition structure sequence similarity of the multiple demolition paths meets the preset similarity, and generates the impurity introduction amounts corresponding to the multiple demolition paths.

7. A waste concrete recycling management method as claimed in claim 6, characterized in that: The structural execution constraint includes a first constraint and a second constraint, wherein the first constraint is to independently demolish concrete structures corresponding to the same demolition constraint feature, and the second constraint is to independently or parallelly demolish non-concrete structures.

8. A waste concrete recycling management system, characterized in that: Steps for implementing a waste concrete recycling management method as described in any one of claims 1 to 7, wherein the waste concrete recycling management system comprises: A concrete structure division module is used to determine the building to be demolished, obtain the building structure information of the building to be demolished, divide the concrete structure and non-concrete structure, and establish a concrete structure distribution map and a non-concrete structure distribution map; A performance evaluation and identification module, used for evaluating the performance of concrete structures in the concrete structure distribution map and then identifying them, thereby generating a concrete performance identification map; A demolition constraint feature matching module is used to connect to the recycling management center to receive a concrete recycling matching list, perform demolition constraint feature matching on the concrete performance identification diagram, and generate a demolition constraint feature identification, wherein the concrete recycling matching list includes multiple recycling performance requirements and corresponding multiple demolition processing constraints; The recycling processing optimization module is used to optimize the demolition sequence and demolition operation characteristics of the building to be demolished based on the demolition constraint feature identifier, the concrete structure distribution map and the non-concrete structure distribution map, with the goal of minimizing the amount of impurities introduced, and generate an optimal recycling processing plan for recycling management.

9. An electronic device, comprising: at least one processor; a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of a waste concrete recycling management method as described in any one of claims 1 to 7.

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