High-density concrete production method and concrete production system

Abstract

The invention discloses a high-density concrete production system and method, and relates to the technical field of building materials, the high-density concrete production system comprises a material preparation module, an intelligent control module, a compact forming module, a bionic strengthening module, a sustainable production module, a function integration module and a monitoring feedback module, the material preparation module is used for preparing nano core-shell aggregate, quantum dot doped cementing material and industrial solid waste based composite aggregate; the intelligent control module dynamically optimizes production parameters through a digital twinborn model and an AI algorithm; the compaction forming module executes a high-pressure vibration-vacuum combined compaction process and honeycomb-shaped aggregate directional arrangement; the bionic strengthening module is provided with a self-repairing microcapsule and a bionic honeycomb dense structure; the sustainable production module is used for CO2 mineralization maintenance and solid waste resourceful treatment; the function integration module is embedded into the piezoelectric ceramic piece and the thermochromic material; and the monitoring feedback module monitors the internal state of the concrete in real time and feeds back the internal state, so that intelligentization, high efficiency, environmental protection and functionalization of concrete production are realized, the performance of the concrete is improved, and the application range of the concrete is widened.

Description

Technical Field

[0001] The present invention relates to the technical field of building materials, and more particularly to a high-density concrete production method and a concrete production system. Background Art

[0002] With the development of the construction industry, the requirements for concrete performance are increasing, and traditional concrete production methods have gradually exposed many problems. In terms of production efficiency, the various links in the traditional production process are relatively independent and lack coordinated optimization, resulting in overall low efficiency. In terms of concrete performance, traditional concrete lacks strength, durability and functionality, and it is difficult to meet the requirements of special building structures and complex environments. In terms of environmental protection and sustainability, traditional production consumes a lot of natural resources and emits a lot of waste, which is inconsistent with the green and sustainable development concept of modern buildings. In terms of intelligence, traditional production process monitoring and control methods are backward and cannot achieve accurate and real-time adjustments, affecting the quality and stability of concrete. In terms of functional integration, traditional concrete lacks multi-functional integration capabilities and cannot meet special needs.

[0003] Existing concrete production has low efficiency, insufficient performance, poor environmental protection, low intelligence and weak functional integration. Summary of the Invention

[0004] In order to overcome the problems of low efficiency, insufficient performance, poor environmental protection, low intelligence and weak functional integration of existing concrete production, the present invention designs a high-density concrete production method and concrete production system that can effectively solve the above technical problems.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0006] A high-density concrete production system, comprising: a material preparation module, an intelligent control module, a compaction and molding module, a bionic reinforcement module, a sustainable production module, a functional integration module, and a monitoring and feedback module;

[0007] The material preparation module is used to prepare nano-core-shell aggregates, quantum dot-doped gelling materials and industrial solid waste-based composite aggregates;

[0008] The intelligent control module is used to dynamically optimize production parameters through a digital twin model and AI algorithms;

[0009] The compaction molding module is used to perform a high-pressure vibration-vacuum combined compaction process and directional arrangement of honeycomb aggregates;

[0010] The bionic strengthening module is used to deploy self-repairing microcapsules and bionic honeycomb dense structures;

[0011] The sustainable production module is used for CO2 mineralization maintenance and solid waste resource treatment;

[0012] The functional integration module is used to embed the piezoelectric ceramic sheet and the thermochromic material;

[0013] The monitoring and feedback module is used to monitor the internal state of the concrete in real time and feed back the state to the intelligent control module.

[0014] Preferably, the material preparation module includes:

[0015] Nano core-shell aggregate preparation unit, preparing Fe3O4@SiO2 core-shell structure aggregate by sol-gel method;

[0016] A quantum dot doping unit disperses CdSe / ZnS quantum dots in a gel material;

[0017] The solid waste aggregate processing unit uses steel slag and copper tailings graded in proportion and pre-treated by magnetic separation and microwave drying.

[0018] Preferably, the nano core-shell aggregate preparation unit specifically includes:

[0019] Fe3O4 nanoparticle synthesis unit, which uses co-precipitation method to synthesize Fe3O4 particles;

[0020] The SiO2 coating process unit uses TEOS as the silicon source in an ethanol-ammonia system to generate a SiO2 shell through a hydrolysis reaction;

[0021] Aggregate surface modification unit, using silane coupling agent to modify the aggregate surface.

[0022] Preferably, the intelligent control module includes:

[0023] The digital twin optimization unit builds a virtual model of the production process and dynamically adjusts aggregate gradation, water-binder ratio, and vibration frequency through reinforcement learning algorithms;

[0024] AI defect prediction unit, which uses CNN to analyze X-ray CT images, predict crack risks and adjust curing humidity;

[0025] Real-time parameter monitoring unit, monitoring stirring temperature and viscosity through fiber optic sensors;

[0026] The compacting molding module comprises:

[0027] High-pressure vibration-vacuum unit, used to apply pressure and synchronize high-frequency vibration to reduce porosity;

[0028] The magnetic field oriented alignment unit guides the alignment of iron-based aggregates through a permanent magnet array;

[0029] Self-compacting control unit uses polycarboxylate water reducer to make the slump greater than a fixed value.

[0030] Preferably, the bionic strengthening module includes:

[0031] Microcapsule self-repairing unit, urea-formaldehyde microcapsules encapsulating epoxy resin / curing agent, incorporated in a quantitative manner;

[0032] Honeycomb template deployment unit, 3D printed polymer template guides aggregate arrangement, and the template dissolves after demoulding;

[0033] Bionic interface enhancement unit, pre-implanting bionic adhesion protein on the aggregate surface to improve the interface tensile strength;

[0034] The sustainable production module includes:

[0035] CO2 mineralization curing unit, injecting CO2 into the curing kiln to generate CaCO3 to fill the pores and seal the CO2;

[0036] Solid waste activation unit, where steel slag is ball-milled and composited with copper tailings to replace natural aggregate;

[0037] The low-carbon cementitious material unit adopts an alkali-activated slag cementitious system to reduce carbon emissions.

[0038] Preferably, the functional integration module includes:

[0039] The piezoelectric ceramic embedding unit embeds PZT ceramic sheets into concrete according to volume ratio to output a certain amount of electrical energy;

[0040] Thermochromic temperature control unit, doped with VO2 nanoparticles, makes the infrared reflectivity change with temperature;

[0041] Wireless sensor network, integrated with LoRa temperature-strain sensor, data is uploaded to the blockchain for storage.

[0042] Preferably, the monitoring feedback module includes:

[0043] The quantum dot fluorescence monitoring unit uses an ultraviolet light source to excite quantum dot fluorescence, and the image analysis system analyzes the crack expansion path;

[0044] Piezoelectric signal analysis unit, collects PZT output electrical signals and inversely analyzes concrete stress distribution;

[0045] The digital twin synchronization unit compares actual production data with the virtual model in real time, triggering parameter calibration when the deviation exceeds the threshold.

[0046] A method for producing high-density concrete comprises the following steps:

[0047] Synthesis of Fe3O4@SiO2 aggregate, quantum dot-doped cementitious materials, and steel slag-copper tailings gradation;

[0048] The digital twin model optimizes the water-cement ratio and vibration frequency;

[0049] The magnetic field guides the aggregate arrangement under a certain pressure and vacuum degassing is carried out synchronously;

[0050] Embedded with self-repairing microcapsules and sprayed with a biomimetic adhesion protein layer on the surface;

[0051] After a certain period of CO2 curing, CaCO3 is generated;

[0052] Embedded PZT ceramic sheets, doped with VO2 nanoparticles;

[0053] Quantum dot fluorescence traces cracks, and piezoelectric signals invert stress states.

[0054] An electronic device comprises a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the computer program implements steps of a concrete production method when executed by the processor.

[0055] A computer-readable storage medium stores a computer program, which implements the steps of a concrete production method when executed by a processor.

[0056] Compared with the existing technology, the beneficial effects of the present invention are: this solution system integrates material preparation, intelligent control, dense molding, bionic reinforcement, sustainable production, functional integration and monitoring feedback modules, and each link collaborates to optimize the production process. The intelligent control module uses digital twin models and AI algorithms to dynamically adjust parameters, regulate production, reduce human intervention and errors, and improve production continuity and efficiency; the material preparation module introduces nano core-shell aggregates, quantum dot-doped cementitious materials and industrial solid waste-based composite aggregates to improve the strength and durability of concrete; the self-repairing microcapsules and bionic honeycomb dense structures of the bionic reinforcement module effectively prevent crack expansion and improve the interface tensile strength; the dense molding module adopts a high-pressure vibration-vacuum combined dense process and directional arrangement of honeycomb aggregates to reduce porosity and further improve the density and strength of concrete; the CO2 mineralization maintenance technology of the sustainable production module uses CO2 to generate carbonate minerals to fill the pores of concrete, realize carbon sequestration, reduce carbon emissions, and solid waste resources. Chemical processing processes industrial solid waste such as steel slag and copper tailings into composite aggregates to replace natural aggregates, reduce natural resource consumption, achieve efficient utilization of industrial solid waste, and alleviate environmental pollution; the digital twin optimization unit of the intelligent control module builds a virtual model and dynamically adjusts parameters such as aggregate grading, water-cement ratio and vibration frequency through reinforcement learning algorithms to achieve precise production control; the AI defect prediction unit analyzes X-ray CT images based on CNN to predict crack risks and adjust curing humidity to improve the stability and reliability of concrete quality. The real-time parameter monitoring unit uses fiber optic sensors to monitor mixing temperature and viscosity, providing data support for the optimization of the production process; the functional integration module embeds piezoelectric ceramic sheets and thermochromic materials to give concrete energy collection and temperature control functions. The wireless sensor network integrates LoRa temperature-strain sensors to realize real-time data collection and transmission, and uploads them to blockchain for evidence storage, ensuring data integrity and traceability, and expanding the application scope and intelligence level of concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the implementation methods or the description of the prior art. Obviously, the drawings described below are merely exemplary. For ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without any creative work.

[0058] Figure 1 This is a structural diagram of a high-density concrete production system;

[0059] Figure 2 A step diagram for a high-density concrete production method. DETAILED DESCRIPTION

[0060] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent;

[0061] In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size;

[0062] It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0063] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0064] Example 1

[0065] A high-density concrete production system, see Figure 1 , including: material preparation module, intelligent control module, dense molding module, bionic strengthening module, sustainable production module, function integration module and monitoring feedback module;

[0066] The material preparation module is used to prepare nano-core-shell aggregates, quantum dot-doped gelling materials and industrial solid waste-based composite aggregates;

[0067] The intelligent control module is used to dynamically optimize production parameters through a digital twin model and AI algorithms;

[0068] The compaction molding module is used to perform a high-pressure vibration-vacuum combined compaction process and directional arrangement of honeycomb aggregates;

[0069] The bionic strengthening module is used to deploy self-repairing microcapsules and bionic honeycomb dense structures;

[0070] The sustainable production module is used for CO2 mineralization maintenance and solid waste resource treatment;

[0071] The functional integration module is used to embed the piezoelectric ceramic sheet and the thermochromic material;

[0072] The monitoring and feedback module is used to monitor the internal state of the concrete in real time and feed back the state to the intelligent control module.

[0073] In the specific implementation, the nano core-shell aggregate preparation unit adopts the sol-gel method to prepare Fe3O4@SiO2 core-shell structure aggregate, and the specific steps are as follows:

[0074] Fe3O4 nanoparticles are synthesized by co-precipitation method with FeSO4 and FeCl3 as raw materials. The reaction is carried out under alkaline conditions to generate Fe3O4 nanoparticles. The reaction temperature is controlled at 25-30°C and the reaction time is 1-2 hours. By adjusting the raw material concentration and reaction time, the particle size of Fe3O4 particles is controlled between 10-50nm.

[0075] The SiO2 coating process uses TEOS (tetraethyl orthosilicate) as the silicon source in an ethanol-ammonia system to generate a SiO2 shell on the surface of Fe3O4 particles through a hydrolysis reaction. The volume ratio of ethanol to ammonia is 10:1, the TEOS drop rate is 1-2 drops / minute, the reaction temperature is 30-40°C, and the reaction time is 6-8 hours, so that the SiO2 shell thickness reaches 5-20nm.

[0076] Aggregate surface modification: The prepared Fe3O4@SiO2 core-shell aggregate is surface modified using silane coupling agent KH550. The aggregate and ethanol solution of silane coupling agent (concentration is 1-2%) are mixed in a certain proportion and stirred at 60-70°C for 2-3 hours to allow the silane coupling agent to form a stable chemical bond on the aggregate surface, thereby enhancing the interfacial bonding between the aggregate and the cementitious material.

[0077] The quantum dot doping unit disperses CdSe / ZnS quantum dots in the gel material. The specific operation is as follows:

[0078] Quantum dot preparation: CdSe / ZnS quantum dots are prepared by hot injection. By controlling the reaction temperature (250-300°C), time and raw material ratio, quantum dots with an emission wavelength in the range of 500-600nm are obtained.

[0079] The prepared CdSe / ZnS quantum dots were dispersed in cement paste at a certain concentration (0.1-0.5 wt%) and stirred for 10-15 minutes using a high-speed mixer (rotation speed of 1000-1500 rpm) to ensure that the quantum dots were evenly dispersed in the cementitious material to enhance the optical properties and structural stability of the concrete.

[0080] The solid waste aggregate processing unit uses steel slag and copper tailings graded in a certain proportion and pre-treated by magnetic separation and microwave drying. The specific steps are as follows:

[0081] Raw material collection and crushing: steel slag from steel mills and copper tailings from copper mines are collected and crushed separately to reduce the aggregate particle size to less than 5mm.

[0082] Magnetic separation uses magnetic separation equipment to separate the iron substances in the steel slag for recycling, while removing the magnetic impurities in the copper tailings to improve the purity of the aggregate.

[0083] Gradation mixing: According to the concrete mix design requirements, the treated steel slag and copper tailings are mixed and graded in a certain proportion, such as 3:2, so that the particle size distribution of the aggregate meets the needs of concrete production.

[0084] Microwave drying: Place the graded solid waste aggregates in the microwave drying equipment and dry them at a power of 800-1000W and a temperature of 100-120℃ for 10-15 minutes to remove moisture from the aggregates and improve the activity and construction performance of the aggregates.

[0085] The digital twin optimization unit and virtual model construction use computer-aided design (CAD) and finite element analysis (FEA) technologies to establish a virtual model of the concrete production process, including raw material transportation, mixing, molding, curing and other links.

[0086] The Deep Q Network (DQN) algorithm is used to dynamically optimize production parameters in the virtual model, such as aggregate gradation, water-cement ratio, and vibration frequency. Through continuous trial and error and learning in a simulated environment, the optimal parameter combination is obtained to improve concrete production efficiency and quality.

[0087] X-ray CT image acquisition: During the concrete production process, X-ray CT scans are performed on concrete test blocks regularly to obtain images of their internal structure. The image resolution must be no less than 1024×1024 pixels.

[0088] CNN analysis and prediction uses convolutional neural networks (CNN) to analyze X-ray CT images, identify defect characteristics such as microcracks and pores inside the concrete, predict the risk of concrete cracks based on the size, shape and distribution of the defects, and adjust the curing humidity based on the prediction results to ensure the quality stability of the concrete.

[0089] Real-time parameter monitoring unit, fiber optic sensor installation, fiber optic temperature sensors and viscosity sensors are installed in concrete mixing equipment and conveying pipelines to monitor mixing temperature and viscosity in real time; data acquisition and transmission, the signals obtained by the sensors are converted into digital signals through data acquisition cards and transmitted to the control system to achieve real-time monitoring of the production process and provide data support for parameter optimization and quality control.

[0090] High-pressure vibration-vacuum unit, which consists of a high-pressure vibration table, a vacuum pump, a control system, etc. The maximum applied pressure of the high-pressure vibration table can reach 100MPa, and the vibration frequency range is 50-100Hz.

[0091] Place the concrete material into the mold of the vibration table, apply a pressure of 60-80MPa, and turn on high-frequency vibration at a frequency of 80-100Hz. Vacuum degassing is performed during the vibration process to make the concrete fully dense under the dual effects of high pressure and vibration, reducing the porosity to below 1.5%.

[0092] The magnetic field directional arrangement unit is arranged with a permanent magnet array. Permanent magnet arrays are set above and below the vibration table to form a uniform magnetic field with a magnetic field strength of 0.5-1.0T.

[0093] Arrangement of iron-based aggregates: placing concrete materials containing iron-based aggregates in a magnetic field. Under the combined action of vibration and magnetic field, the iron-based aggregates are arranged in a hexagonal honeycomb shape in the mold, thereby improving the structural stability and strength of the concrete.

[0094] Self-compacting control unit, polycarboxylate water reducer selection, choose the appropriate polycarboxylate water reducer, its water reduction rate can reach 25-30%, which can effectively reduce the water consumption of concrete and improve the fluidity and density of concrete.

[0095] Dosage control: determine the dosage of polycarboxylate water reducer according to the concrete mix ratio and construction requirements, so that the slump of the concrete is greater than 240mm, meeting the construction requirements of self-compacting concrete, and ensuring that the concrete can be self-leveling and self-compacting during the molding process.

[0096] The microcapsule self-repairing unit uses urea-formaldehyde resin as the capsule material, encapsulates the epoxy resin / curing agent system, and prepares self-repairing microcapsules. The average particle size of the microcapsules is controlled at 50-100μm, and the capsule wall thickness is 5-10μm.

[0097] The prepared microcapsules are added to concrete in a certain proportion (3-5 vol%) and evenly distributed during the concrete mixing process. When cracks appear inside the concrete, the microcapsules rupture and release epoxy resin / curing agent to automatically repair the cracks, thereby improving the durability and impermeability of the concrete.

[0098] According to the size and shape of the concrete component, a polymer honeycomb formwork is designed and 3D printed. The honeycomb structure size of the formwork matches the particle size of the concrete aggregate, ensuring that the aggregate can be arranged in an orderly manner under the guidance of the formwork.

[0099] Before pouring concrete, the honeycomb formwork is placed in a predetermined position within the mold. After the concrete is poured and initially set, the formwork is removed. The formwork dissolves into the concrete, causing no environmental pollution. Instead, it forms a dense honeycomb structure within the concrete, improving its strength and stability.

[0100] Preparation of biomimetic adhesive proteins, extracting adhesive proteins from the byssus of marine organisms mussels, or synthesizing similar adhesive proteins through genetic engineering, which have strong adhesion and durability.

[0101] The pre-implantation process uses spraying or dipping methods to pre-implant a bionic adhesion protein layer on the surface of the aggregate with a thickness of 1-5μm. The treated aggregate can form a stronger interfacial bonding force with the cementitious material in the concrete, thereby improving the tensile strength and toughness of the concrete and reducing the risk of cracks.

[0102] Build a special CO2 curing kiln equipped with a CO2 injection system, a temperature control system and a gas circulation system to ensure the uniform distribution and effective utilization of CO2 during the curing process. Place the formed concrete components in the curing kiln and inject CO2 gas at a temperature of 40-60°C to cause a mineralization reaction between CO2 and components such as calcium hydroxide in the concrete to generate carbonate minerals such as CaCO3, which fill the internal pores of the concrete, improve the strength and density of the concrete, and at the same time achieve the storage of CO2 and reduce carbon emissions.

[0103] The collected steel slag is ball-milled, and the ball-milling time is controlled to be 1-2 hours, so that the particle size of the steel slag is less than 10μm, thereby improving its activity; the ball-milled steel slag is mixed with copper tailings in a certain ratio, such as 2:1, and the two are fully compounded through mechanical stirring and chemical activation. The compounded solid waste aggregate can replace more than 80% of natural aggregate and be used in concrete production, thereby realizing the resource utilization of industrial solid waste and reducing dependence on natural resources. Slag is used as the main raw material, and an appropriate amount of alkali activator, such as sodium hydroxide, water glass, etc., is added. By adjusting the type and dosage of the activator, a low-carbon cementitious material is prepared. The carbon emissions of this system during the hardening process are reduced by more than 65% compared with traditional cement. The performance of the alkali-activated slag cementitious material is tested and optimized to ensure that its strength, durability and other indicators meet the requirements of concrete production, providing material support for the low-carbon production of concrete.

[0104] PZT (lead titanate) ceramic sheets with high piezoelectric constants were selected with a size of 10 mm × 10 mm × 1 mm, and their embedding position and quantity were determined according to the stress characteristics and functional requirements of the concrete components.

[0105] During the concrete pouring process, the PZT ceramic sheet is embedded in the concrete at a certain volume ratio, such as 0.5-1%, to ensure that it is tightly bonded to the concrete. When the concrete is subjected to external force, the PZT ceramic sheet can convert mechanical energy into electrical energy, and the output electrical energy can reach 15mW / m 2 The above can be used for structural health monitoring or to power small electronic devices.

[0106] By adding VO2 nanoparticles into concrete in a certain proportion, such as 0.1-0.3wt%, the infrared reflectivity of the concrete will increase from 20% to 60% at 68°C, realizing intelligent regulation of solar radiation energy and reducing the air-conditioning energy consumption of buildings.

[0107] The thermochromic performance of concrete mixed with VO2 nanoparticles is tested, and the dosage and dispersion process of the nanoparticles are adjusted according to the test results to ensure that the temperature control performance of the concrete meets the design requirements.

[0108] LoRa temperature-strain sensors are installed inside and on the surface of concrete components. The sensor spacing is determined according to the component size and monitoring requirements, generally 0.5-1 meter.

[0109] The sensor collects concrete temperature and strain data in real time and uploads the data to the blockchain evidence storage platform through LoRa wireless communication technology, ensuring the authenticity and integrity of the data and providing data support for the long-term health monitoring and maintenance of concrete structures.

[0110] An ultraviolet light source with a wavelength of 365-395nm is set inside the concrete to excite CdSe / ZnS quantum dots to produce fluorescence.

[0111] A high-resolution camera is used to capture quantum dot fluorescence images, and the crack extension path is analyzed through an image analysis system. The location, length, and width of the cracks are determined based on changes in fluorescence intensity and distribution, providing a basis for concrete damage assessment and repair.

[0112] The PZT ceramic piece embedded in the concrete is connected to the signal acquisition equipment to collect its output electrical signal in real time.

[0113] Through signal processing and inversion algorithms, the electrical signal is converted into the stress distribution inside the concrete, realizing real-time monitoring of the stress state of the concrete structure and providing data support for the safety assessment and optimal design of the structure.

[0114] Actual data from the concrete production process, such as raw material usage, production parameters, quality inspection data, etc., is collected in real time and compared with the virtual data in the digital twin model.

[0115] When the deviation between the actual data and the virtual model exceeds a set threshold, such as 5%, the parameter calibration mechanism is triggered, and the control system automatically adjusts the production parameters according to the deviation to ensure the stability of concrete production and the consistency of quality.

[0116] The material preparation module includes:

[0117] Nano core-shell aggregate preparation unit, preparing Fe3O4@SiO2 core-shell structure aggregate by sol-gel method;

[0118] A quantum dot doping unit disperses CdSe / ZnS quantum dots in a gel material;

[0119] The solid waste aggregate processing unit uses steel slag and copper tailings graded in proportion and pre-treated by magnetic separation and microwave drying.

[0120] The nano core-shell aggregate preparation unit specifically includes:

[0121] Fe3O4 nanoparticle synthesis unit, which uses co-precipitation method to synthesize Fe3O4 particles;

[0122] The SiO2 coating process unit uses TEOS as the silicon source in an ethanol-ammonia system to generate a SiO2 shell through a hydrolysis reaction;

[0123] Aggregate surface modification unit, using silane coupling agent to modify the aggregate surface.

[0124] The intelligent control module includes:

[0125] The digital twin optimization unit builds a virtual model of the production process and dynamically adjusts aggregate gradation, water-binder ratio, and vibration frequency through reinforcement learning algorithms;

[0126] AI defect prediction unit, which uses CNN to analyze X-ray CT images, predict crack risks and adjust curing humidity;

[0127] Real-time parameter monitoring unit, monitoring stirring temperature and viscosity through fiber optic sensors;

[0128] The compacting molding module comprises:

[0129] High-pressure vibration-vacuum unit, used to apply pressure and synchronize high-frequency vibration to reduce porosity;

[0130] The magnetic field oriented alignment unit guides the alignment of iron-based aggregates through a permanent magnet array;

[0131] Self-compacting control unit uses polycarboxylate water reducer to make the slump greater than a fixed value.

[0132] The bionic strengthening module includes:

[0133] Microcapsule self-repairing unit, urea-formaldehyde microcapsules encapsulating epoxy resin / curing agent, incorporated in a quantitative manner;

[0134] Honeycomb template deployment unit, 3D printed polymer template guides aggregate arrangement, and the template dissolves after demoulding;

[0135] Bionic interface enhancement unit, pre-implanting bionic adhesion protein on the aggregate surface to improve the interface tensile strength;

[0136] The sustainable production module includes:

[0137] CO2 mineralization curing unit, injecting CO2 into the curing kiln to generate CaCO3 to fill the pores and seal the CO2;

[0138] Solid waste activation unit, where steel slag is ball-milled and composited with copper tailings to replace natural aggregate;

[0139] The low-carbon cementitious material unit adopts an alkali-activated slag cementitious system to reduce carbon emissions.

[0140] The functional integration module includes:

[0141] The piezoelectric ceramic embedding unit embeds PZT ceramic sheets into concrete according to volume ratio to output a certain amount of electrical energy;

[0142] Thermochromic temperature control unit, doped with VO2 nanoparticles, makes the infrared reflectivity change with temperature;

[0143] Wireless sensor network, integrated with LoRa temperature-strain sensor, data is uploaded to the blockchain for storage.

[0144] The monitoring feedback module includes:

[0145] The quantum dot fluorescence monitoring unit uses an ultraviolet light source to excite quantum dot fluorescence, and the image analysis system analyzes the crack expansion path;

[0146] Piezoelectric signal analysis unit, collects PZT output electrical signals and inversely analyzes concrete stress distribution;

[0147] The digital twin synchronization unit compares actual production data with the virtual model in real time, triggering parameter calibration when the deviation exceeds the threshold.

[0148] Example 2

[0149] A method of producing high-density concrete, see Figure 2 , including the following steps:

[0150] Synthesis of Fe3O4@SiO2 aggregate, quantum dot-doped cementitious materials, and steel slag-copper tailings gradation;

[0151] The digital twin model optimizes the water-cement ratio and vibration frequency;

[0152] The magnetic field guides the aggregate arrangement under a certain pressure and vacuum degassing is carried out synchronously;

[0153] Embedded with self-repairing microcapsules and sprayed with a biomimetic adhesion protein layer on the surface;

[0154] After a certain period of CO2 curing, CaCO3 is generated;

[0155] Embedded PZT ceramic sheets, doped with VO4 nanoparticles;

[0156] Quantum dot fluorescence traces cracks, and piezoelectric signals invert stress states.

[0157] An electronic device comprises a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the computer program implements steps of a concrete production method when executed by the processor.

[0158] A computer-readable storage medium stores a computer program, which implements the steps of a concrete production method when executed by a processor.

[0159] Synthesize Fe3O4@SiO2 aggregates. According to the process flow of the nano core-shell aggregate preparation unit, prepare a certain amount of Fe3O4@SiO2 core-shell structure aggregates, and dry them for later use.

[0160] The prepared CdSe / ZnS quantum dots are dispersed in cement paste at a certain concentration, stirred evenly to prepare quantum dot-doped gelling material, and stored in a special container.

[0161] According to the concrete mix design requirements, the steel slag and copper tailings that have been pre-treated by magnetic separation and microwave drying are mixed and graded in a certain proportion to obtain the required solid waste-based composite aggregate, which is then stacked for future use.

[0162] Utilizing the digital twin optimization unit in the intelligent control module, the raw material data obtained during the material preparation stage, such as aggregate grading and quantum dot dosage, is input into the virtual model. Combined with historical production data and quality inspection results, production parameters such as the water-cement ratio and vibration frequency are dynamically optimized through a reinforcement learning algorithm to obtain the optimal production parameter combination.

[0163] The optimized solid waste-based composite aggregate, Fe3O4@SiO2 aggregate, quantum dot-doped cementitious material, and appropriate amounts of water and admixtures, such as water reducers and retarders, are added to a mixer in proportion and initially stirred to uniformly mix the materials. The mixture is then poured into the mold of a high-pressure vibration-vacuum unit. Under a pressure of 60-80 MPa, the magnetic field directional arrangement unit is simultaneously turned on to arrange the iron-based aggregate in a hexagonal honeycomb shape under the action of the magnetic field. Vacuum degassing is performed simultaneously to remove the air inside the concrete and improve the density of the concrete.

[0164] The pre-prepared self-repairing microcapsules are evenly sprinkled on the surface of the arranged aggregates, and then the biomimetic adhesion protein solution is evenly sprayed on the surface of the aggregates and microcapsules using a spraying device to form an adhesion protein layer, which enhances the interfacial bonding between the aggregates and the cementitious material and improves the tensile strength and toughness of the concrete.

[0165] After CO2 curing for a certain period of time, CaCO3 is generated: the formed concrete components are moved into the curing kiln of the CO2 mineralization curing unit, and CO2 gas is injected at a temperature of 40-60°C to cause CO2 to react with calcium hydroxide and other components in the concrete to produce carbonate minerals, such as CaCO3, which fill the internal pores of the concrete and improve the strength and density of the concrete. The curing time is 24-48 hours.

[0166] PZT ceramic sheets are embedded in designated locations of cured concrete components, and VO2 nanoparticles are added in a certain volume ratio to achieve functional integration of concrete, giving it energy collection and temperature control functions.

[0167] A UV light source is installed inside the concrete component to stimulate quantum dot fluorescence. The image acquisition and analysis system then monitors the propagation path of cracks in the concrete in real time. Simultaneously, the electrical signal output by the PZT ceramic piece is collected and a signal analysis unit is used to invert the stress distribution within the concrete, providing data support for the safety assessment and maintenance of concrete structures.

[0168] The electronic device of the present invention includes a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor is a high-performance industrial control computer with multi-core processing capabilities and high computing speed, capable of quickly processing large amounts of data in the concrete production process. The memory includes internal memory and external memory. The internal memory is used to store temporary data during the operation of the computer program, and the external memory is used to store various data files of the concrete production system, such as raw material data, production parameters, quality inspection data, historical production records, etc. When the computer program is executed by the processor, it can implement each step of the above-mentioned high-density concrete production method, including material preparation, parameter optimization, mixing and forming, curing, function integration and monitoring, etc., and automatically control and manage the entire production process.

[0169] A computer program is stored on a computer-readable storage medium. When the program is executed by a processor, the steps of the above-mentioned high-density concrete production method can also be implemented. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a hard disk, an optical disk, a flash drive, etc. In actual application, the computer program can be customized and optimized according to different production requirements and equipment configurations to ensure stable operation and efficient production of the high-density concrete production system.

[0170] The same or similar reference numerals correspond to the same or similar components;

[0171] The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent;

[0172] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A high-density concrete production system, characterized in that: include: Material preparation module, intelligent control module, compaction molding module, bionic reinforcement module, sustainable production module, functional integration module and monitoring feedback module; The material preparation module is used to prepare nano-core-shell aggregates, quantum dot-doped gelling materials and industrial solid waste-based composite aggregates; The intelligent control module is used to dynamically optimize production parameters through a digital twin model and AI algorithms; The compaction molding module is used to perform a high-pressure vibration-vacuum combined compaction process and directional arrangement of honeycomb aggregates; The bionic strengthening module is used to deploy self-repairing microcapsules and bionic honeycomb dense structures; The sustainable production module is used for CO2 mineralization maintenance and solid waste resource treatment; The functional integration module is used to embed the piezoelectric ceramic sheet and the thermochromic material; The monitoring and feedback module is used to monitor the internal state of the concrete in real time and feed back the state to the intelligent control module.

2. The concrete production system according to claim 1, characterized in that: The material preparation module includes: Nano core-shell aggregate preparation unit, preparing Fe3O4@SiO2 core-shell structure aggregate by sol-gel method; A quantum dot doping unit disperses CdSe / ZnS quantum dots in a gel material; The solid waste aggregate processing unit uses steel slag and copper tailings graded in proportion and pre-treated by magnetic separation and microwave drying.

3. The concrete production system according to claim 2, characterized in that: The nano core-shell aggregate preparation unit specifically includes: Fe3O4 nanoparticle synthesis unit, which uses co-precipitation method to synthesize Fe3O4 particles; The SiO2 coating process unit uses TEOS as the silicon source in an ethanol-ammonia system to generate a SiO2 shell through hydrolysis reaction; Aggregate surface modification unit, using silane coupling agent to modify the aggregate surface.

4. The concrete production system according to claim 1, characterized in that: The intelligent control module includes: The digital twin optimization unit builds a virtual model of the production process and dynamically adjusts aggregate gradation, water-binder ratio, and vibration frequency through reinforcement learning algorithms; AI defect prediction unit, which uses CNN to analyze X-ray CT images, predict crack risks and adjust curing humidity; Real-time parameter monitoring unit, monitoring stirring temperature and viscosity through fiber optic sensors; The compacting molding module comprises: High-pressure vibration-vacuum unit for applying pressure and synchronizing high-frequency vibration to reduce porosity; The magnetic field oriented alignment unit guides the alignment of iron-based aggregates through a permanent magnet array; Self-compacting control unit uses polycarboxylate water reducer to make the slump greater than a fixed value.

5. The concrete production system according to claim 1, characterized in that: The bionic strengthening module includes: Microcapsule self-repairing unit, urea-formaldehyde microcapsules encapsulating epoxy resin / curing agent, incorporated in a quantitative manner; Honeycomb template deployment unit, 3D printed polymer template guides aggregate arrangement, and the template dissolves after demoulding; Bionic interface enhancement unit, pre-implanting bionic adhesion protein on the aggregate surface to improve the interface tensile strength; The sustainable production module includes: CO2 mineralization curing unit, injecting CO2 into the curing kiln to generate CaCO3 to fill the pores and seal the CO2; Solid waste activation unit, where steel slag is ball-milled and composited with copper tailings to replace natural aggregate; The low-carbon cementitious material unit adopts an alkali-activated slag cementitious system to reduce carbon emissions.

6. The concrete production system according to claim 1, characterized in that: The functional integration module includes: The piezoelectric ceramic embedding unit embeds PZT ceramic sheets into concrete according to volume ratio to output a certain amount of electrical energy; Thermochromic temperature control unit, doped with VO2 nanoparticles, makes the infrared reflectivity change with temperature; Wireless sensor network, integrated with LoRa temperature-strain sensor, data is uploaded to the blockchain for storage.

7. The concrete production system according to claim 1, characterized in that: The monitoring feedback module includes: The quantum dot fluorescence monitoring unit uses an ultraviolet light source to excite quantum dot fluorescence, and the image analysis system analyzes the crack expansion path; Piezoelectric signal analysis unit, collects PZT output electrical signals and inversely analyzes concrete stress distribution; The digital twin synchronization unit compares actual production data with the virtual model in real time, triggering parameter calibration when the deviation exceeds the threshold.

8. A high-density concrete production method, used to implement the concrete production system according to any one of claims 1 to 7, characterized in that: The following steps are involved: Synthesis of Fe3O4@SiO2 aggregate, quantum dot-doped cementitious materials, and steel slag-copper tailings gradation; The digital twin model optimizes the water-cement ratio and vibration frequency; The magnetic field guides the aggregate arrangement under a certain pressure and vacuum degassing is carried out synchronously; Embedded with self-repairing microcapsules and sprayed with a biomimetic adhesion protein layer on the surface; After a certain period of CO2 curing, CaCO3 is generated; Embedded PZT ceramic sheets, doped with VO2 nanoparticles; Quantum dot fluorescence traces cracks, and piezoelectric signals invert stress states.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the concrete production method according to claim 8 when executed by the processor.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the concrete production method according to claim 8 are implemented.

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