Ultra-high performance concrete intelligent preparation system and control system thereof

Abstract

The invention relates to the technical field of intelligent manufacturing, and particularly provides an intelligent ultra-high performance concrete preparation system and a control system thereof.The preparation system comprises an environment adaptability adjusting subsystem used for automatically adjusting preparation operation parameters of equipment according to external environment temperature and humidity changes of an ultra-high performance concrete mixture; the dynamic optimization proportioning subsystem is used for sensing real-time states of viscosity, fluidity and the like of the ultra-high performance concrete mixture in the preparation process through a built-in sensor array; adjusting a water-cement ratio and an aggregate proportion according to real-time states of preparation operation parameters, viscosity, fluidity and the like; and the operation energy efficiency management subsystem is used for adjusting the working mode of the equipment according to the preparation operation parameters. The control system comprises an equipment layout assembly, an equipment communication assembly and a program execution assembly. While the quality of the ultra-high performance concrete is ensured, the preparation efficiency and the environmental adaptability are improved, the energy consumption is reduced, and green and intelligent production of the ultra-high performance concrete is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing, and particularly relates to an intelligent preparation system for ultra-high performance concrete and its control system. Background Art

[0002] With the rapid development of the construction industry, the requirements for building materials are also getting higher and higher. As one of the most common building materials, the performance of concrete directly affects the safety and durability of building structures. Currently, high-performance concrete (HPC) is widely used in major projects due to its excellent mechanical and durable properties. However, traditional concrete preparation systems often struggle to meet the requirements of HPC for material homogeneity, stability, and precise control. Therefore, it is particularly important to develop an intelligent system that can accurately prepare ultra-high performance concrete.

[0003] Prior art one, a Chinese patent with application number 202310706963.2 discloses an intelligent mixing device for ultra-high performance concrete used for house reinforcement, including an AGV cart. One side of the outer surface of the first trough box is fixedly connected to one side of the outer surface of the mixing barrel. The discharging device includes a second trough box, and one side of the outer surface of the second trough box is fixedly connected to one side of the outer surface of the mixing barrel. Although by setting up a mixing device, when the house needs to be reinforced, the mixing motor is operated to drive the mixing rod to mix the raw materials in the mixing barrel into ultra-high performance concrete, and the ultra-high performance concrete after mixing will be output at the second trough box. By setting up the mixing device, manual operation can be minimized and standardized mixing construction can be achieved. At the same time, through the AGV cart, controllable movement can be achieved within the same floor range to avoid transporting freshly mixed concrete back and forth, which will greatly reduce the construction cost and improve the mixing construction efficiency. However, it does not involve the adaptive adjustment of the equipment in different temperature and humidity environments, resulting in the quality of ultra-high performance concrete being affected by the external environment.

[0004] Prior Art Two, a Chinese patent with application number 202310661790.7 discloses a preparation process and equipment for high-fluidity decorative ultra-high-performance concrete, belonging to the field of concrete preparation. It includes a preparation process and a material mixing tank. The preparation process is carried out through clinker prefabrication, component weighing, dry material mixing, wet material mixing, and limit addition. A mixing motor is arranged on the outer surface of the material mixing tank, a stable support is arranged at the bottom of the material mixing tank, a tailings treatment tank is rotatably connected to the outer surface of the material mixing tank, a tailings mixing mechanism is arranged on the inner wall of the tailings treatment tank, and a mixing control mechanism is arranged on the inner wall of the material mixing tank. Although when it is necessary to replace part of the cement clinker with tailings, the tailings mixing mechanism reacts the alumina in the tailings with sodium hydroxide solution, filters the iron oxide, and then injects excessive carbon dioxide to react with the aluminum hydroxide solution to generate alumina and inject it into the material mixing tank to avoid the influence of iron oxide on the color and cement strength caused by directly adding tailings; however, the dynamic optimization ratio of the concrete state is not carried out, resulting in inaccurate proportioning of ultra-high-performance concrete.

[0005] Prior Art Three, a Chinese patent with application number 202411702068.4 discloses a recycled fine aggregate ultra-high-performance concrete and its usage method, including a bottom plate for supporting the production equipment of recycled fine aggregate ultra-high-performance concrete. A device main body is arranged on the top of the bottom plate. The device main body includes: a driving device fixedly connected to the top of the bottom plate, and the driving device is used to cooperate with subsequent components to shake the recycled fine aggregate, cement, sand, and water in the horizontal direction, assist the subsequent components to mix and stir the recycled fine aggregate, concrete, sand, and water, improve the mixing effect and mixing quality of the device, and facilitate the user to use. A feeding device is arranged at the upper right of the driving device, and the feeding device is used to feed the recycled fine aggregate, cement, sand, and water required for preparing ultra-high-performance concrete. Although it has the advantages of improving the mixing effect and mixing quality of the device and being convenient for the user to use; however, the structure is relatively simple, and energy efficiency management during the preparation process is not realized, which increases the manufacturing cost to a certain extent.

[0006] Currently, there are problems in Prior Art One, Prior Art Two, and Prior Art Three that the adaptability and stability of the equipment under different environmental conditions are poor, and the quality and stability of the concrete need to be further improved. Therefore, the present invention provides an ultra-high-performance concrete intelligent preparation system and its control system. Summary of the Invention

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] On the one hand, the present invention provides an ultra-high-performance concrete intelligent preparation system, comprising:

[0009] The environmental adaptability adjustment subsystem is used to automatically adjust the preparation operation parameters of the preparation system according to the changes in the ambient temperature and humidity of the ultra-high performance concrete mixture;

[0010] The dynamic optimization ratio subsystem is used to sense the real-time state of the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process through the built-in sensor array; according to the preparation operation parameters and the real-time state of the viscosity and fluidity, adjust the water-cement ratio and the aggregate ratio;

[0011] The operation energy efficiency management subsystem is used to adjust the working mode of the preparation system according to the preparation operation parameters.

[0012] In an optional implementation manner, the environmental adaptability adjustment subsystem includes:

[0013] The environmental parameter perception module is used to continuously capture the temperature gradient distribution and humidity fluctuation curve of the space where the ultra-high performance concrete mixture is located through the multi-dimensional environmental scanning element, generate a dynamic environmental topology map; establish an association model of the temperature and humidity vectors in the three-dimensional space from the dynamic environmental topology map to form the basic input source of the preparation operation parameters;

[0014] The parameter coupling and conversion module is used to input the environmental topology map into the material phase change prediction engine, map out the hydration reaction critical point of the cementitious material under the current environmental conditions through the asymmetric neural network, and generate two sets of key control variables: the material activation time window (controlling the solidification rate) and the interfacial energy threshold (controlling the flow characteristics);

[0015] The dynamic parameter coordination module is used to construct a dynamic balance matrix of the preparation operation parameters based on the two sets of key control variables output, non-linearly couple the three core parameters of the stirring kinetic energy intensity, the material conveying pulse width and the heat exchange frequency, and find the parameter combination that makes the material activation time window and the interfacial energy threshold reach the optimal match through the tensor iteration algorithm.

[0016] In an optional implementation manner, convert the solution result of the balance matrix into the instruction set of the execution layer of the preparation system, and synchronously adjust the torque fluctuation mode of the screw conveyor, the frequency step of the microwave curing module, and the opening and closing timing of the air film oxygen isolation device; the torque fluctuation mode corresponds to match the interfacial energy threshold, the frequency step of the microwave curing module corresponds to adapt to the hydration reaction rate, and the opening and closing timing of the air film oxygen isolation device corresponds to the environmental humidity fluctuation phase.

[0017] In an optional implementation manner, the dynamic optimization ratio subsystem includes:

[0018] The rheological state multi-modal perception module is used to capture in real time the stress relaxation gradient and viscoelastic mutation boundary of different phase interfaces in the three-dimensional flow field of ultra-high performance concrete mixtures through the combined action of a multi-frequency resonant penetration array and a vortex shear wave sensor, construct a dynamic rheological fingerprint map, quantify the viscosity as the difference in interfacial shear potential energy, map the fluidity as the vortex dissipation rate, and form a rheological model directly related to the material activation time window;

[0019] The parameter-coupled rheological analysis module is used to input the interfacial energy threshold and the material activation time window and the rheological fingerprint map into the phase state migration prediction matrix and solve through the following paths:

[0020] Water-cement ratio decision tree: Based on the spatio-temporal misalignment degree between the difference in interfacial shear potential energy and the current hydration reaction rate, calculate the optimal permeability of the water molecule migration channel and generate a water-cement ratio compensation coefficient;

[0021] Aggregate interference field reconstruction: Use the tensor product of the vortex dissipation rate and the interfacial energy threshold to invert the spatial interference blind area of the aggregate gradation and output the aggregate topological interference coefficient;

[0022] The dynamic ratio adjustment strategy generation module is used to input the water-cement ratio compensation coefficient and the aggregate topological interference coefficient into the stress field-flow field co-optimizer to perform dual regulation;

[0023] Water molecule path optimization: Dynamically adjust the pulse phase of the microatomized water supply module according to the water-cement ratio compensation coefficient, so that water molecules break through the adsorption potential barrier of gel particles in a discontinuous penetration mode, and achieve sub-steady state regulation of the water-cement ratio (accuracy of 0.5%-1.2%);

[0024] Aggregate interference elimination: Reconstruct the aggregate feeding timing according to the aggregate topological interference coefficient, and eliminate the local shear potential energy distortion caused by aggregate accumulation through the torque recoil effect of staggered vibration screening and screw conveyors.

[0025] In an alternative implementation, the parameter-coupled rheological analysis module solves through the following paths:

[0026] Water-cement ratio decision tree: Based on the spatio-temporal misalignment degree between the difference in interfacial shear potential energy and the current hydration reaction rate, calculate the optimal permeability of the water molecule migration channel and generate a water-cement ratio compensation coefficient;

[0027] Aggregate interference field reconstruction: Use the tensor product of the vortex dissipation rate and the interfacial energy threshold to invert the spatial interference blind area of the aggregate gradation and output the aggregate topological interference coefficient.

[0028] In an alternative implementation, the dynamic ratio adjustment strategy generation module performs dual regulation;

[0029] Water molecule path optimization: Dynamically adjust the pulse phase of the microatomized water supply module according to the water-cement ratio compensation coefficient;

[0030] Aggregate interference resolution: Reconstruct the aggregate feeding timing based on the aggregate topological interference coefficient, through the torque recoil effect of staggered vibrating screening and screw conveyors.

[0031] In an alternative embodiment, the parameter coupling rheological analysis module includes:

[0032] The water-cement ratio compensation coefficient generation path sub-module is used to establish a water molecule migration channel permeability model in the phase state migration prediction matrix: convert the shear potential energy difference into the depth of the adsorption potential well on the surface of cementitious particles, and combine the spatio-temporal misalignment degree to calculate the critical kinetic energy threshold required for water molecules to break through the potential well; generate a compensation coefficient by dynamically searching for the minimum energy path that synchronizes the critical kinetic energy threshold of water molecules with the hydration reaction rate;

[0033] The generation path sub-module of the aggregate topological interference coefficient is used to perform a three-dimensional tensor product operation on the vortex dissipation rate and the interface energy threshold to generate a spatial interference intensity distribution cloud map, identifying the flow field distortion area caused by aggregate accumulation; analyze the abnormal gradient jump points in the interference cloud map through deconvolution algorithm to locate the core coordinates of the shear potential energy distortion caused by unbalanced aggregate gradation; calculate the proportion of aggregate particle size combinations to be compensated according to the geometric topological characteristics of the distortion core, and output with dimensions of [coarse / fine aggregate ratio correction amount, surface texture adaptability];

[0034] The dual coefficient generation collaborative constraint sub-module is used to trigger the microatomized water pulse phase adjustment by the generation result of the water-cement ratio compensation coefficient, change the rheological properties of the slurry, and update the vortex dissipation rate data in the rheological fingerprint map in real time; the execution effect of the aggregate interference coefficient is fed back to the interface energy threshold calculation module through secondary rheological detection to form dynamic constraint conditions for the tensor product operation.

[0035] In an alternative embodiment, the water-cement ratio compensation coefficient generation path sub-module includes:

[0036] The adsorption potential well depth mapping unit is used to construct an energy distribution field on the surface of cementitious particles in the phase state migration prediction matrix based on the shear potential energy difference output by the rheological state multi-modal perception module, decompose the shear potential energy difference into the potential energy gradient of the adsorption sites on the particle surface, and generate a three-dimensional adsorption potential well topology map; the depth of the potential well is negatively correlated with the particle size distribution and the surface hydroxyl density, forming an initial energy barrier for water molecule migration;

[0037] The spatio-temporal misalignment degree coupling unit is used to adopt the spatio-temporal misalignment degree of the environmental adaptability adjustment subsystem, convert the spatio-temporal misalignment degree into the time window compression coefficient of the water molecule migration path; combine the adsorption potential well topology map to calculate the critical kinetic energy threshold spectrum required for water molecules to break through the potential well in different time windows;

[0038] The critical kinetic energy threshold dynamic balance unit is used to establish an energy-time optimization model for the water molecule migration path; the critical kinetic energy threshold is lower than the maximum energy empowerment limit of the microwave curing module; the total duration of the time-constrained migration path needs to match the hydration reaction window corrected by the space-time dislocation degree; all possible paths that meet the double constraint conditions are traversed in the energy-time matrix;

[0039] The minimum energy path calculation unit is used to screen the optimal solution from all possible paths;

[0040] The compensation coefficient generation unit is used to convert the parameters of the selected path obtained by screening the optimal solution into executable instructions.

[0041] In an alternative implementation, the operation energy efficiency management subsystem includes:

[0042] The energy consumption mode dynamic perception module is used to receive the hierarchical data stream iteratively generated by the environment and proportioning subsystem. Initially, the temperature and humidity baseline parameters are introduced from the environment adaptability control module, and the viscosity trajectory function and aggregate phase transition threshold output by the dynamic proportioning layer are synchronously accessed; based on the entropy weight model, the input parameters are self-organized and transformed into a multi-dimensional energy efficiency feature vector;

[0043] The dynamic distribution feature generation module is mainly used to introduce the viscosity real-time mapping coefficient as the decision trigger factor for energy consumption increase and decrease, and supplemented by the instantaneous gradient value of the water-cement ratio to establish the power consumption elastic response surface of the preparation system; the aggregate proportion correction amount is converted into the dynamic load fluctuation mode of the transmission mechanism through inert compensation, and the fluctuation range of the energy consumption baseline of the electric drive unit is delimited;

[0044] The multi-domain dynamic matching module is used to calibrate the environmental critical equilibrium point of temperature and humidity according to the correlation analysis between the fluctuation range and the water-cement ratio correction trajectory; the energy consumption mutation threshold of the hot spot equipment module is indirectly limited by the density gradient of the viscosity self-sensing network, triggering the cascade energy consumption focusing active capture mechanism, and dynamically adjusting the cascade frequency state of the power supply module according to the load distribution characteristics.

[0045] On the other hand, the present invention provides a control system for the ultra-high performance concrete intelligent preparation system, and the control system includes:

[0046] The preparation system layout component is used to layout sensors for sensing the changes in the ambient temperature and humidity and the real-time state of the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process;

[0047] The preparation system communication component is used to establish communication between the sensor and the controller, and the controller stores an automatic adjustment program for the preparation operation parameters, a water-cement ratio and aggregate ratio program, etc.;

[0048] A program execution component, configured to adjust the preparation operation parameters, water-cement ratio, and aggregate ratio according to the output results of the automatic adjustment program for the preparation operation parameters and the water-cement ratio and aggregate ratio program.

[0049] The ultra-high performance concrete intelligent preparation system of the present invention integrates multiple subsystems to achieve intelligent and automated management of the concrete production process, so as to improve the performance and preparation efficiency of concrete. The environmental adaptability adjustment subsystem automatically adjusts the operation parameters of the preparation system by monitoring the changes in the external environmental temperature and humidity, which can ensure the preparation quality of the concrete mixture under various complex environments and avoid affecting the final performance of the concrete due to environmental changes. The dynamic optimization ratio subsystem uses built-in sensors to real-time monitor the viscosity and fluidity state of the mixture, and dynamically adjusts the water-cement ratio and aggregate ratio in combination with the preparation operation parameters, which can ensure that the concrete mixture always maintains the best performance state, reduce material waste, and improve the strength and durability of the concrete. The operation energy efficiency management subsystem adjusts the working mode of the system according to the actual parameters during the preparation process to optimize energy consumption. Energy efficiency management can reduce the preparation cost, while reducing energy consumption and environmental impact. Description of the Drawings

[0050] The drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0051] Figure 1 It is a block diagram of the ultra-high performance concrete intelligent preparation system provided in Embodiment 1 of the present invention;

[0052] Figure 2 It is a block diagram of the environmental adaptability adjustment subsystem provided in Embodiment 2 of the present invention;

[0053] Figure 3 It is a block diagram of the dynamic optimization ratio subsystem provided in Embodiment 3 of the present invention;

[0054] Figure 4 It is a block diagram of the operation energy efficiency management subsystem provided in Embodiment 10 of the present invention;

[0055] Figure 5 It is a block diagram of the control system of the ultra-high performance concrete intelligent preparation system provided in Embodiment 11 of the present invention;

[0056] Figure 6 It is a block diagram of the electronic device provided by the present invention;

[0057] Figure 7 It is a block diagram of the computer-readable storage medium provided by the present invention. Detailed Embodiments

[0058] Next, the technical solutions in the embodiments of the present invention will be described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0059] Hereinafter, terms such as "first" and "second" are only for convenience of description, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0060] In the present invention, unless otherwise clearly specified and defined, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or integrated; or, "connection" can be a direct connection, or an indirect connection through an intermediate medium. In addition, unless otherwise clearly specified and defined, the term "coupling" should be understood in a broad sense. For example, "coupling" can be a direct electrical connection. For example, two components are in physical contact and electrically conductive, and it can also be understood that in a circuit structure, different components are electrically connected through a printed circuit board (PCB) copper foil or a wire and other physical lines that can transmit electrical signals to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in an air-spaced / non-contact manner. For example, two components are electrically connected by means of capacitive coupling to transmit electrical signals.

[0061] In the embodiments of the present invention, orientation terms such as "upper", "lower", "left", and "right" can include but are not limited to being defined relative to the schematic placement of components in the accompanying drawings. It should be understood that these directional terms can be relative concepts, and they are used for relative description and clarification, and they can change accordingly with the change of the orientation of the components in the accompanying drawings.

[0062] Embodiment 1:

[0063] As Figure 1 shown, the embodiments of the present invention provide a super high-performance concrete intelligent preparation system, including:

[0064] An environmental adaptability adjustment subsystem, which is used to automatically adjust the preparation operation parameters of the preparation system according to the changes in the ambient temperature and humidity of the super high-performance concrete mixture;

[0065] The dynamic optimization ratio subsystem is used to sense the real-time states such as the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process through the built-in sensor array; adjust the water-cement ratio and aggregate ratio according to the preparation operation parameters and the real-time states such as viscosity and fluidity.

[0066] The operation energy efficiency management subsystem is used to adjust the working mode of the preparation system according to the preparation operation parameters.

[0067] In the above embodiments, the ultra-high performance concrete intelligent preparation system of this embodiment realizes the intelligent and automated management of the concrete production process by integrating multiple subsystems, so as to improve the performance and preparation efficiency of the concrete. The environmental adaptability adjustment subsystem automatically adjusts the operation parameters of the preparation system by monitoring the changes in the external environmental temperature and humidity, which can ensure the preparation quality of the concrete mixture under various complex environments and avoid affecting the final performance of the concrete due to environmental changes. The dynamic optimization ratio subsystem uses the built-in sensors to monitor the viscosity and fluidity states of the mixture in real time, and dynamically adjusts the water-cement ratio and aggregate ratio in combination with the preparation operation parameters, which can ensure that the concrete mixture always maintains the best performance state, reduce material waste, and improve the strength and durability of the concrete. The operation energy efficiency management subsystem adjusts the working mode of the preparation system according to the actual parameters during the preparation process, optimizes the energy consumption, and the energy efficiency management can reduce the preparation cost, while reducing the energy consumption and environmental impact.

[0068] In summary, this embodiment can improve the preparation efficiency and environmental adaptability while ensuring the quality of ultra-high performance concrete, reduce the energy consumption, and realize the green and intelligent production of ultra-high performance concrete.

[0069] Embodiment 2:

[0070] As Figure 2 shown, on the basis of Embodiment 1, the environmental adaptability adjustment subsystem provided by the embodiment of the present invention includes:

[0071] The environmental parameter sensing module is used to continuously capture the temperature gradient distribution and humidity fluctuation curve of the space where the ultra-high performance concrete mixture is located through the multi-dimensional environmental scanning element, generate a dynamic environmental topology map; establish an association model of the temperature and humidity vectors in the three-dimensional space from the dynamic environmental topology map to form the basic input source of the preparation operation parameters.

[0072] The parameter coupling and conversion module is used to input the environmental topology map into the material phase change prediction engine, map out the hydration reaction critical point of the cementitious material under the current environmental conditions through the asymmetric neural network, and generate two sets of key control variables: the material activation time window (controlling the solidification rate) and the interfacial energy threshold (controlling the flow characteristics).

[0073] The dynamic parameter coordination module is used to construct a dynamic balance matrix of preparation operation parameters based on two sets of key control variables output, nonlinearly couple the three core parameters of stirring kinetic energy intensity, material conveying pulse width, and heat exchange frequency, and find the parameter combination that optimally matches the material activation time window and the interfacial energy threshold through a tensor iteration algorithm; convert the solution result of the balance matrix into an instruction set for the execution layer of the preparation system, and synchronously adjust the torque fluctuation mode of the screw conveyor (matching the interfacial energy threshold), the frequency step of the microwave curing module (adapting to the hydration reaction rate), and the opening and closing timing of the gas film oxygen isolation device (corresponding to the environmental humidity fluctuation phase).

[0074] Among them, the dynamic environment topology map E of the environmental parameter perception module topo Generation formula:

[0075]

[0076] Formula explanation: This formula is used to generate a dynamic environment topology map; where, T represents the temperature gradient distribution, H represents the humidity fluctuation curve, φ represents the spatial coordinate, represents the time derivative; the formula generates a dynamic environment topology map by integrating the product of the temperature and humidity changes over time. Based on the Fourier transform theory, the dynamic changes of temperature and humidity are captured through the time derivative to achieve continuous perception of environmental parameters.

[0077] Formula of the material phase change prediction engine of the parameter coupling conversion module:

[0078]

[0079] Formula explanation: This formula is used to predict the critical point of the hydration reaction of the material. Among them, σ c represents the material activation time window, ΔG represents the change in Gibbs free energy, R is the gas constant, T ′ is the absolute temperature, τ activation represents the interfacial energy threshold, represents a function of the reaction enthalpy change and entropy change. Based on the Arrhenius equation, combined with the Gibbs free energy and interfacial energy theories, the critical point of the hydration reaction of the material in the current environment is predicted.

[0080] The dynamic balance matrix P of the dynamic parameter coordination module balance Construction formula:

[0081] P balance = K·P input + L·P output

[0082] Formula explanation: This formula is used to construct a dynamic balance matrix of preparation operation parameters; where, P inputDenote the input parameter vector (including the stirring kinetic energy intensity, the material conveying pulse width, and the heat exchange frequency), P output Denote the output parameter vector (the material activation time window and the interfacial energy threshold). K and L respectively represent the weight matrices of the input and output parameters. Based on control theory, the dynamic balance between the input and output parameters is achieved through the weight matrix to find the optimal matching parameter combination.

[0083] Tensor iteration algorithm formula:

[0084]

[0085] Formula explanation: This formula is used to find the optimal parameter combination through the tensor iteration algorithm. Among them, P optimal Denote the optimal parameter vector, α represents the learning rate, P balance Denote the gradient with respect to the balance matrix, Denote the loss function; based on the gradient descent method, the loss function is iteratively optimized to find the parameter combination that makes the material activation time window and the interfacial energy threshold reach the optimal match.

[0086] The above formula in this embodiment improves the performance of the concrete mixture: By precisely controlling the preparation parameters, the setting rate and flow characteristics of the concrete mixture are improved, thereby improving its performance. By optimizing the stirring kinetic energy intensity and the heat exchange frequency, the energy consumption is reduced, and green production is achieved. Through the dynamic balance matrix and the tensor iteration algorithm, the optimal parameter combination can be quickly found, improving production efficiency.

[0087] In the above embodiments, after the technical features of the environmental adaptability adjustment subsystem of this embodiment are combined, a comprehensive technical chain is realized from the precise perception of environmental conditions to the refined control of the preparation process of concrete mixtures. The precise perception of environmental parameters, through the environmental parameter perception module, realizes the continuous capture of the temperature gradient distribution and humidity fluctuation curve of the space where the ultra-high performance concrete mixture is located, and generates a dynamic environmental topology map, providing a basic input source for parametric control. The multi-dimensional and continuous environmental perception enables the system to comprehensively capture environmental changes and provides accurate data support for control strategies. Prediction of material phase change and generation of key control variables: The parameter coupling and conversion module inputs the environmental topology map into the material phase change prediction engine, and uses the asymmetric neural network model to map the hydration reaction critical point of the cementitious material under the current environmental conditions, generating two sets of key control variables, namely the material activation time window and the interfacial energy threshold; through advanced neural network algorithms, the accurate prediction of material property changes is realized, providing a scientific basis for control during the preparation process. Dynamic balance of preparation operation parameters: The dynamic parameter coordination module constructs a dynamic balance matrix based on the output key control variables, non-linearly couples the three core parameters of stirring kinetic energy intensity, material conveying pulse width, and heat exchange frequency, and uses the tensor iteration algorithm to find the optimal parameter combination, realizing the dynamic optimization of preparation process parameters and ensuring the optimal matching of material activation time and interfacial energy with environmental conditions. Precise control of the execution layer of the preparation system: The system converts the calculation result of the dynamic balance matrix into an instruction set for the execution layer of the preparation system to synchronously adjust the torque fluctuation mode of the screw conveyor, the frequency step length of the microwave curing module, and the opening and closing timing of the air film oxygen isolation device; through precise control of the preparation system, the accuracy of each parameter during the preparation process of the concrete mixture is ensured, and the refined management of the preparation process is realized. Comprehensively improve the quality and performance of concrete: Through the precise perception of environmental conditions, the scientific prediction of material phase change, the dynamic optimization of preparation parameters, and the precise control of the execution layer of the preparation system, the preparation quality and performance of the concrete mixture are comprehensively improved, enabling the concrete mixture to achieve the optimal hydration reaction and flow characteristics under different environmental conditions, thereby improving the structural strength and durability of the concrete.

[0088] In summary, after the various technical features of the environmental adaptability adjustment subsystem of this embodiment are combined, the environmental self-adaptation and parameter self-optimization of the concrete mixture preparation process are realized, improving the preparation efficiency and product quality of ultra-high performance concrete, which is a technological innovation for traditional ultra-high performance concrete preparation technology.

[0089] Embodiment 3:

[0090] As Figure 3 shown, on the basis of Embodiment 1, the dynamic optimization ratio subsystem provided by the embodiment of the present invention includes:

[0091] The rheological state multi-modal perception module is used to capture in real time the stress relaxation gradient and viscoelastic mutation boundary of different phase interfaces in the three-dimensional flow field of ultra-high performance concrete mixture through the combined action of a multi-frequency resonant penetration array and a vortex shear wave sensor, construct a dynamic rheological fingerprint map, quantify the viscosity as the difference in interfacial shear potential energy, map the fluidity as the vortex dissipation rate, and form a rheological model directly related to the material activation time window (from the environmental subsystem);

[0092] The parameter coupling rheological analysis module is used to input the interfacial energy threshold and the material activation time window and the rheological fingerprint map into the phase state migration prediction matrix and solve through the following paths:

[0093] Water-cement ratio decision tree: Based on the spatio-temporal misalignment degree between the interfacial shear potential energy difference and the current hydration reaction rate, calculate the optimal permeability of the water molecule migration channel and generate a water-cement ratio compensation coefficient;

[0094] Aggregate interference field reconstruction: Use the tensor product of the vortex dissipation rate and the interfacial energy threshold to invert the spatial interference blind area of the aggregate gradation and output the aggregate topological interference coefficient;

[0095] The dynamic ratio adjustment strategy generation module is used to input the water-cement ratio compensation coefficient and the aggregate topological interference coefficient into the stress field-flow field co-optimizer to perform dual regulation;

[0096] Water molecule path optimization: Dynamically adjust the pulse phase of the microatomized water supply module according to the water-cement ratio compensation coefficient, so that water molecules break through the adsorption barrier of gel particles in a discontinuous penetration mode, and realize the metastable regulation of the water-cement ratio (with an accuracy of 0.5%-1.2%);

[0097] Aggregate interference elimination: Reconstruct the aggregate feeding time sequence according to the aggregate topological interference coefficient, and eliminate the local shear potential energy distortion caused by aggregate accumulation through the torque recoil effect of staggered vibration screening and screw conveyors.

[0098] In the above embodiments, the overall combination of the dynamic optimization ratio subsystem in this embodiment aims to achieve precise ratio and dynamic regulation of ultra-high performance concrete mixtures, ensuring that the materials maintain good rheological properties and structural stability during construction. Rheological state perception and quantification: Through the multi-modal rheological state perception module, it can capture the stress relaxation gradient and viscoelastic changes inside the concrete mixture in real time, and quantify the complex rheological characteristics into measurable interface shear potential energy difference and vortex dissipation rate, providing basic data for the establishment of rheological models. Rheological model construction and parameter coupling: The parameter-coupled rheological analysis module combines the quantified rheological data with the material activation time window, and uses the phase migration prediction matrix to achieve precise calculation of the water-cement ratio and aggregate gradation, ensuring the optimal permeability of the water molecule migration channel and the inversion of the spatial interference blind area of the aggregate gradation, providing a scientific basis for dynamic ratio adjustment. Dynamic ratio adjustment: The dynamic ratio adjustment strategy generation module combines the water-cement ratio compensation coefficient and the aggregate topology interference coefficient, and realizes dual regulation through the stress field-flow field cooperative optimizer, ensuring precise control of the water-cement ratio and the aggregate feeding timing, thereby optimizing the rheological properties and structural stability of the concrete. Water molecule path optimization: The water molecule path optimization step realizes the discontinuous penetration mode of water molecules by adjusting the pulse phase of the microatomized water supply module, breaks through the adsorption potential barrier of the cementitious particles, realizes the metastable regulation of the water-cement ratio, and improves the uniformity and construction performance of the concrete mixture. Aggregate interference elimination: The aggregate interference elimination step eliminates the local shear potential energy distortion caused by aggregate accumulation through the torque recoil effect of staggered vibration screening and screw conveyors, further improving the rheological uniformity and construction adaptability of the concrete mixture.

[0099] In summary, the overall combination technical effect of the dynamic optimization ratio subsystem in this embodiment is as follows: Through real-time monitoring and precise control, the rheological properties of ultra-high performance concrete mixtures are optimized, ensuring the uniformity and stability of the materials during construction, and improving the construction efficiency and the durability of the concrete structure.

[0100] Embodiment 4:

[0101] Based on Embodiment 2, the parameter-coupled rheological analysis module provided by the embodiment of the present invention includes:

[0102] The water-cement ratio compensation coefficient generation path sub-module is used to establish a water molecule migration channel permeability model in the phase migration prediction matrix: convert the shear potential energy difference into the adsorption potential well depth on the surface of the cementitious particles, and calculate the critical kinetic energy threshold required for water molecules to break through the potential well in combination with the spatio-temporal misalignment degree; generate the compensation coefficient by dynamically searching for the minimum energy path that synchronizes the critical kinetic energy threshold of water molecules with the hydration reaction rate;

[0103] The aggregate topological interference coefficient generation path sub-module is used to perform a three-dimensional tensor product operation on the vortex dissipation rate and the interfacial energy threshold to generate a spatial interference intensity distribution cloud map, identifying the flow field distortion area caused by aggregate accumulation; parsing the abnormal gradient jump points in the interference cloud map through a deconvolution algorithm to locate the core coordinates of the shear potential energy distortion caused by the imbalance of aggregate gradation; calculating the proportion of the aggregate particle size combination to be compensated according to the geometric topological characteristics (volume ratio, interfacial curvature) of the distortion core, and outputting with dimensions of [coarse / fine aggregate ratio correction amount, surface texture adaptability].

[0104] The dual-coefficient generation collaborative constraint sub-module is used to trigger the phase adjustment of the microatomized water pulse when the generation result of the water-cement ratio compensation coefficient changes the rheological properties of the slurry, and update the vortex dissipation rate data in the rheological fingerprint map in real time; the execution effect of the aggregate interference coefficient is fed back to the interfacial energy threshold calculation module through secondary rheological detection, forming a dynamic constraint condition for the tensor product operation.

[0105] In the above embodiment, this embodiment realizes the dynamic regulation and precise control of the rheological properties of the slurry. Specifically: the water-cement ratio compensation coefficient generation path sub-module calculates the critical kinetic energy threshold by establishing a permeability model of the water molecule migration channel, relating the shear potential energy difference to the depth of the adsorption potential well on the surface of the cementitious particles, and finding the minimum energy path to synchronize the critical kinetic energy threshold of water molecules with the hydration reaction rate, generating the compensation coefficient; which helps to adjust the rheological properties of the slurry to adapt to different construction conditions and environments. The aggregate topological interference coefficient generation path sub-module performs a three-dimensional tensor product operation on the vortex dissipation rate and the interfacial energy threshold to generate a spatial interference intensity distribution cloud map to identify the flow field distortion area caused by aggregate accumulation. By parsing these cloud maps through a deconvolution algorithm, the core coordinates of the shear potential energy distortion caused by the imbalance of aggregate gradation can be located, and the proportion of the aggregate particle size combination to be adjusted can be calculated according to the geometric topological characteristics of the distortion core; it is crucial for optimizing the aggregate gradation and improving the flow performance of the slurry. The dual-coefficient generation collaborative constraint sub-module combines the generation result of the water-cement ratio compensation coefficient with the phase adjustment of the microatomized water pulse, updates the vortex dissipation rate data in the rheological fingerprint map in real time, and at the same time feeds back the execution effect of the aggregate interference coefficient to the interfacial energy threshold calculation module, forming a dynamic constraint condition for the tensor product operation, which helps to realize the real-time monitoring and adjustment of the rheological properties of the slurry.

[0106] In summary, this embodiment can achieve the precise control and dynamic adjustment of the rheological properties of the slurry, which is of great significance for ensuring the construction quality, improving the construction efficiency and optimizing the material use; through the meticulous regulation of water molecule migration, aggregate gradation and rheological fingerprint map, it can ensure that the slurry maintains an ideal flow performance during the construction process, thus improving the performance and quality of the final product.

[0107] Example 5:

[0108] Based on Embodiment 4, the water-cement ratio compensation coefficient generation path sub-module provided by the embodiment of the present invention includes:

[0109] An adsorption potential well depth mapping unit, which is used to construct a surface energy distribution field of cementitious particles in the phase state migration prediction matrix based on the shear potential energy difference output by the rheological state multi-modal perception module, decompose the shear potential energy difference into the potential energy gradient of the particle surface adsorption sites, and generate a three-dimensional adsorption potential well topology map; the depth of the potential well is negatively correlated with the particle size distribution and the surface hydroxyl density, forming an initial energy barrier for water molecule migration;

[0110] A space-time misalignment degree coupling unit, which is used to adopt the space-time misalignment degree of the environmental adaptability adjustment subsystem, convert the space-time misalignment degree into the time window compression coefficient of the water molecule migration path; combined with the adsorption potential well topology map, calculate the critical kinetic energy threshold spectrum required for water molecules to break through the potential well within different time windows;

[0111] A critical kinetic energy threshold dynamic balance unit, which is used to establish an energy-time optimization model for the water molecule migration path; the critical kinetic energy threshold is lower than the maximum energy supply limit of the microwave curing module (to prevent local overheating from damaging the microstructure); the total duration of the time-constrained migration path needs to match the hydration reaction window corrected by the space-time misalignment degree; traverse all possible paths that meet the double constraint conditions in the energy-time matrix;

[0112] A minimum energy path solution unit, which is used to screen the optimal solution from all possible paths;

[0113] Path evaluation function: weighted fusion of the path energy integral (total kinetic energy consumption) and the time window fitness;

[0114] Dynamic convergence mechanism: preferentially select the path with the lowest energy integral and a time adaptation error less than ±0.3%;

[0115] When multiple paths meet the conditions, use the gradient direction of the adsorption potential well topology map as the path selection guiding factor;

[0116] A compensation coefficient generation unit, which is used to convert the parameters of the selected path obtained by screening the optimal solution into executable instructions; the ratio of the path energy integral to the reference energy (the corresponding value of the ideal water-cement ratio), after being normalized, generates a compensation coefficient. A positive coefficient indicates that the water molecule penetration amount needs to be increased (the path energy requirement is higher than the reference), and a negative coefficient is the opposite.

[0117] In the above embodiments, this embodiment aims to optimize the migration path of water molecules in the concrete mixture, thereby improving the quality and performance of the concrete. Specifically: Generation of the three-dimensional adsorption potential well topology map. Through the adsorption potential well depth mapping unit, based on the shear potential energy difference output by the rheological state multi-modal perception module, an energy distribution field on the surface of the cementitious particles is constructed, and then the three-dimensional adsorption potential well topology map is generated, which helps to understand the potential energy change of water molecule migration on the particle surface. Optimization of the water molecule migration path. The spatio-temporal misalignment degree coupling unit and the critical kinetic energy threshold dynamic balance unit work together to calculate the critical kinetic energy threshold spectrum required for water molecules to break through the potential well within different time windows, and establish an energy-time optimization model for the water molecule migration path to ensure that the water molecule migration path is both efficient and meets the curing conditions. Screening of the optimal path. The minimum energy path solving unit is responsible for screening the optimal solution from all possible paths, which is achieved through a path evaluation function. This function weighted-fuses the path energy integral and the time window adaptability to select the path with the lowest energy consumption and the smallest time adaptation error. Dynamic convergence of the path. The dynamic convergence mechanism ensures that when there are multiple qualified paths, the path with the lowest energy integral and a time adaptation error less than ±0.3% is preferentially selected, and the gradient direction of the adsorption potential well topology map is considered as the guidance. Generation of the compensation coefficient. The compensation coefficient generation unit converts the parameters of the optimal solution path into executable instructions, and at the same time generates a normalized compensation coefficient by comparing the ratio of the path energy integral to the reference energy value to guide the actual water-cement ratio adjustment. By precisely controlling the migration path and time of water molecules in the concrete, the water-cement ratio is optimized, which helps to improve the strength and durability of the concrete.

[0118] Example 6:

[0119] Based on Example 5, the compensation coefficient generation unit provided by the embodiment of the present invention includes:

[0120] The reference energy calibrating sub-unit is used to extract reference parameters based on the optimal phase ratio of the material, mark the energy integral of the water molecule migration path under the condition of no external disturbance in the adsorption potential well topology map as the reference energy value, and the reference energy value is dynamically calibrated through the statistical distribution of the surface hydroxyl density of the cementitious particles and the standard hydration reaction rate to form the origin of the energy coordinate system;

[0121] The path energy difference quantification sub-unit is used to perform a cross-dimensional comparison between the selected path energy integral output by the minimum energy path solving unit and the reference energy; calculate the projection difference between the two in the potential well gradient direction through an asymmetric energy difference operator; if the projection difference vector points to the potential well deepening direction (enhanced adsorption force), it is marked as a negative compensation requirement; if it points to the potential well weakening direction (weakened adsorption force), it is marked as a positive compensation requirement;

[0122] The dynamic normalization processing sub-unit is used to establish a non-linear conversion channel for energy-compensation coefficient;

[0123] Reference scaling: Taking the reference energy corresponding to the ideal water-cement ratio as 1.0 scale, compress the current path energy integral to the interval [-1.5, +1.5] in the logarithmic coordinate system;

[0124] Curvature adaptation: Dynamically adjust the scaling factor according to the local curvature of the adsorption potential well topology diagram (reflecting the geometric complexity of the particle surface) to ensure that the compensation sensitivity in the steep potential well area is increased by 3 - 5 times;

[0125] Symbol binding: Embed the polarity determination result into the scaling process so that the output coefficient naturally carries the direction attribute (positive / negative).

[0126] Quantization compensation coefficient generation subunit, used to achieve precise regulation through nanoscale energy resolution;

[0127] Grid cracking: Discretize the normalized energy difference into slices according to the nanoscale grid (2 - 5nm resolution) of the adsorption potential well topology diagram;

[0128] Gradient accumulation: Layer by layer along the water molecule migration path, accumulate the compensation amount of each grid, and finally synthesize the global compensation coefficient;

[0129] Precision locking: Use the surface hydroxyl vibration frequency data of the topology diagram to perform 0.05% level jitter correction on the compensation coefficient to eliminate the influence of thermal noise.

[0130] In the above embodiments, the potential well projection ratio of this embodiment converts the abstract energy difference into a vector operation of the geometric characteristics of the particle surface, so that the compensation coefficient carries spatial direction information; Dynamic sensitivity adjustment: Based on the potential well curvature, the scaling ratio is changed in real time, breaking through the rigid limit of traditional linear normalization; Nanoscale discrete compensation: Through grid cracking, the macroscopic water-cement ratio adjustment is decomposed into local potential well corrections at the molecular scale to achieve quantization control; Thermal noise filtering: Use the characteristics of hydroxyl vibration frequency to distinguish the effective compensation signal from environmental disturbances and improve the signal-to-noise ratio of coefficient generation. Through the cross-scale conversion of energy difference - geometric characteristics - molecular motion, the water-cement ratio compensation is upgraded from the rough overall ratio adjustment to the precise control level of the adsorption dynamics on the surface of cementitious particles, enabling the preparation of ultra-high performance concrete to have the ability of endogenous correction against random disturbances at the microscopic scale.

[0131] Embodiment 7:

[0132] On the basis of Embodiment 4, the generation path sub-module of the aggregate topology interference coefficient provided by the embodiment of the present invention includes:

[0133] Geometric topology feature deconstruction unit, used to calculate the relative space occupancy of the distortion core in the flow field (ratio of the effective volume of the stirring container), which is mapped to a quantitative index of coarse aggregate deficiency / surplus; analyze the statistical distribution of the curvature radius of the paste-aggregate interface, and generate a curvature-particle size response spectrum (the curvature extreme point corresponds to the surface texture adaptation defect of the aggregate);

[0134] Coarse / fine aggregate ratio correction unit, used to input the volume ratio of the distortion core into the aggregate space filling predictor, and calculate the porosity deviation of the pores in the coarse aggregate gap that are not effectively filled by the fine aggregate under the current gradation; generate the increase and decrease ratio of the coarse aggregate according to the porosity deviation (for every 1% increase in volume ratio → coarse aggregate compensation +0.3% - 0.7%), and at the same time inversely deduce the compensation amount of the fine aggregate to maintain the density balance;

[0135] Surface texture adaptation degree derivation unit, used to identify the local area with sudden change in interface curvature (curvature radius < 5μm), and extract its spatial distribution density and azimuth angle data; compare the density of the high curvature area with the aggregate surface roughness database to generate texture correction parameters;

[0136] Two-dimensional parameter synthesis unit, used to output the particle size ratio adjustment value accurate to ±0.15% through the convolution operation of the porosity deviation and the compensation gradient; combine the texture correction parameters with the physical limit (minimum surface treatment accuracy) of the aggregate feeding device to generate executable texture levels (output discretely in 5 levels).

[0137] In the above embodiments, this embodiment breaks through the traditional empirical formula of the gradation curve, directly converts the three-dimensional geometric features of the flow field distortion into aggregate physical parameters; realizes the precise matching of surface texture and micro-rheological properties through nano-level curvature scanning; establishes a two-way constraint relationship between the compensation amounts of coarse / fine aggregates to ensure the synchronous optimization of density and fluidity; sets up a buffer layer between continuous calculation and discrete execution, taking into account both algorithm accuracy and equipment feasibility. Through the reverse deconstruction of the aggregate gradation defects by the geometric topology features of the flow field distortion core, the aggregate adjustment of ultra-high performance concrete is upgraded from macroscopic proportion control to the directional repair of microscopic interface characteristics, realizing bottom-up intelligent gradation reconstruction.

[0138] Example 8:

[0139] Based on Example 7, the geometric topology feature deconstruction unit provided by the embodiment of the present invention includes:

[0140] Distortion core space occupancy calculation sub-unit, used to discretize the effective volume of the stirring container into nano-level voxel units, label the ownership of each voxel (paste / aggregate / distortion area) based on the flow field reconstruction data; count the total number of voxels belonging to the distortion area, calculate its ratio to the effective volume of the container to generate the space occupancy; output the quantitative grade of coarse aggregate deficiency / surplus according to the contact area ratio between the voxels in the distortion area and the adjacent coarse aggregates;

[0141] In the above embodiments, the three-dimensional space analysis accuracy of the flow field distortion in this embodiment is improved to the micron level, enabling the determination of the absence / excess of coarse aggregates to break through the statistical error limit of traditional volume estimation; combining the theoretical model (aggregate space filling predictor) with the real-time detection data (sudden change in vortex dissipation rate), a static-dynamic dual-source verification mechanism is constructed; the type of grading imbalance is automatically determined through the interfacial contact strength between the distortion area and the coarse aggregates, providing a physical basis for the compensation direction; through the chain calculation of the deviation between the space occupancy rate and the porosity rate, the geometric characteristics of the flow field distortion are directly converted into the physical compensation parameters of the aggregate grading, enabling the aggregate optimization of ultra-high performance concrete to have the non-destructive correction ability from micro-defect positioning to macro-proportion correction.

[0142] Example 9:

[0143] Based on Example 7, the coarse / fine aggregate ratio correction amount unit provided by the embodiment of the present invention includes:

[0144] The porosity deviation solution operator unit is used to call the filling predictor to generate the theoretical fine aggregate filling trajectory according to the current coarse aggregate feeding amount, and calculate the reference value of the porosity rate in the ideal dense state; through the sudden change frequency of the vortex dissipation rate in the rheological fingerprint spectrum, the equivalent volume ratio of the unfilled area of the fine aggregate is deduced; the difference between the actual porosity rate and the ideal value is converted into the coarse aggregate compensation gradient, and at the same time, the fine aggregate compensation amount is reversely constrained to maintain the conservation of the total feeding volume.

[0145] In the above embodiments, the reverse derivation mechanism of the coarse / fine aggregate compensation amount ensures the constancy of the total feeding amount and avoids secondary flow field disturbance caused by grading adjustment.

[0146] Example 10:

[0147] As Figure 4 shown, based on Example 1, the operation energy efficiency management subsystem provided by the embodiment of the present invention includes:

[0148] The energy consumption mode dynamic perception module is used to receive the hierarchical data stream iteratively generated by the environment and proportioning subsystem. Initially, the temperature and humidity baseline parameters are introduced from the environment adaptability control module, and the viscosity trajectory function and the aggregate phase transition threshold output by the dynamic proportioning layer are synchronously accessed; based on the entropy weight model, the input parameters are self-organized and transformed into a multi-dimensional energy efficiency feature vector;

[0149] The dynamic distribution feature generation module is mainly used to introduce the real-time viscosity mapping coefficient as the decision trigger factor for energy consumption increase and decrease, and supplemented by the instantaneous gradient value of the water-cement ratio to establish the power consumption elastic response surface of the preparation system; the aggregate ratio correction amount is converted into the dynamic load fluctuation mode of the transmission mechanism through inert compensation, and the fluctuation range of the energy consumption baseline of the electric drive unit is delimited;

[0150] The multi-domain dynamic matching module is used to calibrate the environmental critical equilibrium point of temperature and humidity based on the correlation analysis between the fluctuation range and the water-cement ratio correction trajectory. The energy consumption mutation threshold of the hot-spot equipment module is indirectly defined by the density gradient of the viscosity self-sensing network, triggering the cascaded energy consumption focusing active capture mechanism, and dynamically adjusting the cascaded frequency state of the power supply module according to the load distribution characteristics.

[0151] In the above embodiments, through the cross-domain data fusion of environmental parameters, mixing ratio parameters, and equipment loads, the traditional rigid energy consumption management mode is upgraded to a dynamic response system; the environmental temperature and humidity baseline and the water-cement ratio gradient value form an energy efficiency reference plane, and the load fluctuations triggered by the aggregate correction amount are constrained within the elastic range, eliminating the extreme conditions of no-load and overload in the preparation system, and achieving precise matching between energy supply and material preparation requirements. Based on the spatio-temporal correlation between the viscosity trajectory and the load fluctuation, an energy efficiency mutation warning mechanism is established. When the environmental parameters deviate from the critical equilibrium point or the viscosity gradient breaks through the preset density threshold, the power supply mode is reconstructed through cascaded frequency adjustment, suppressing the energy overflow of the local hot-spot preparation system, and controlling the energy consumption fluctuations caused by external environmental disturbances and internal mixing ratio adjustments within the ±5% tolerance band. The eigenvector driven by the entropy weight model and the inertia compensation algorithm form a two-way constraint: the former defines the initial rule of energy distribution, and the latter dynamically corrects the rule execution path. The cascaded state of the power supply evolves in real time according to the load distribution characteristics, making the overall energy efficiency ratio (energy consumption for preparing unit volume of concrete) of the preparation system always at the Pareto optimal frontier, achieving a three-dimensional balance among material properties, preparation efficiency, and energy consumption cost. Through the closed-loop evolution of data-rule-execution, breaking through the single-dimensional power-saving logic of traditional energy efficiency management, and constructing a global energy efficiency control architecture that deeply integrates environmental adaptability, material rheology, and equipment responsiveness.

[0152] Example 10:

[0153] As Figure 5 shown, on the basis of Embodiments 1-9, the control system of the ultra-high performance concrete intelligent preparation system provided by the embodiments of the present invention includes:

[0154] The preparation system layout component 1 is used to layout sensors for sensing the changes in the external environmental temperature and humidity and the real-time states such as the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process;

[0155] The preparation system communication component 2 is used to establish communication between the sensors and the controller, and the controller stores an automatic adjustment program for preparation operation parameters and programs for water-cement ratio and aggregate ratio, etc.;

[0156] The program execution component 3 is used to adjust the preparation operation parameters and the water-cement ratio and aggregate ratio according to the output results of the automatic adjustment program for preparation operation parameters and the programs for water-cement ratio and aggregate ratio.

[0157] In the above embodiments, the present embodiment realizes the full-link collaborative efficiency improvement in the preparation process through a modular technical architecture. The sensor array built into the equipment layout component 1 continuously collects the original signals of environmental variables and material rheological characteristics, and is bridged to the core framework of the control algorithm through the data exchange protocol of the equipment communication component 2. At this time, the program execution component 3 activates the water-cement ratio oscillation attenuation model and the aggregate particle size polarization correction function through the gray-scale comparison mechanism of the eigenvector and the reference parameter, and forms a closed-loop control driven by coupled transmission.

[0158] Figure 6 The block diagram of an exemplary electronic device suitable for use in implementing the embodiments of the present invention is shown.

[0159] The electronic device may include a central processing unit / microprocessor / master control chip, etc. 4; a storage medium 5, coupled to the central processing unit / microprocessor / master control chip, etc. 4, and storing computer-executable instructions therein for performing the steps of the various methods of the embodiments of the present invention when executed by the processor.

[0160] The central processing unit / microprocessor / master control chip, etc. 4 may include, but are not limited to, for example, one or more processors or microprocessors, etc.

[0161] The storage medium 5 may include, but are not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disks, floppy disks, solid state drives, removable disks, CD-ROMs, DVD-ROMs, Blu-ray discs, etc.).

[0162] In addition, the electronic device may further include (but is not limited to) a data bus 6, an input / output bus / external bus / device bus, etc. 7, a display 8, and input / output devices 9 (such as a keyboard, a mouse, a speaker, etc.).

[0163] The central processing unit / microprocessor / master control chip, etc. 4 may communicate with external devices (such as 8, 9, etc.) via the I / O bus 7 through a wired or wireless network (not shown).

[0164] The storage medium 5 may also store at least one computer-executable instruction for performing the steps of the various functions and / or methods in the embodiments described in the present technology when run by the central processing unit / microprocessor / master control chip, etc. 4.

[0165] In one embodiment, the at least one computer-executable instruction may also be compiled into or constitute a software product, and when one or more computer-executable instructions are run by the processor, the steps of the various functions and / or methods in the embodiments described in the present technology are performed.

[0166] Figure 7A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0167] As Figure 7 shown, instructions are stored on the non-transitory computer-readable storage medium 11, and the instructions are, for example, computer-readable instructions 10. When the computer-readable instructions 10 are run by a processor, the various methods described above can be executed. The non-transitory computer-readable storage medium includes but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium 11 may be connected to a computing device such as a computer. Then, in the case where the computing device runs the computer-readable instructions 10 stored on the non-transitory computer-readable storage medium 11, the various methods described above can be performed.

[0168] In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.

[0169] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0170] In addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0171] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (English full name: Read-Only Memory, English abbreviation: ROM), random access memories (English full name: Random Access Memory, English abbreviation: RAM), magnetic disks, or optical discs.

[0172] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A super high performance concrete intelligent preparation system, characterized in that, Comprising: An environmental adaptability regulation subsystem for automatically adjusting the preparation operation parameters of the system according to the changes in the ambient temperature and humidity of the ultra-high performance concrete mixture; A dynamic optimization ratio subsystem for sensing the real-time state of the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process through a built-in sensor array; adjusting the water-cement ratio and aggregate ratio according to the preparation operation parameters and the real-time state of the viscosity and fluidity; An operation energy efficiency management subsystem for adjusting the working mode of the preparation system according to the preparation operation parameters.

2. The ultra-high performance concrete intelligent preparation system according to claim 1, characterized in that, The environmental adaptability regulation subsystem comprises: An environmental parameter sensing module for continuously capturing the temperature gradient distribution and humidity fluctuation curve of the space where the ultra-high performance concrete mixture is located through a multi-dimensional environmental scanning element, generating a dynamic environmental topology map; establishing a correlation model of temperature and humidity vectors in a three-dimensional space from the dynamic environmental topology map to form a basic input source for the preparation operation parameters; A parameter coupling conversion module for inputting the environmental topology map into a material phase change prediction engine, mapping out the critical point of the hydration reaction of the cementitious material under the current environmental conditions through an asymmetric neural network, and generating two sets of key control variables: the material activation time window and the interfacial energy threshold; A dynamic parameter coordination module for constructing a dynamic balance matrix of the preparation operation parameters based on the output of the two sets of key control variables, non-linearly coupling the three core parameters of the stirring kinetic energy intensity, the material conveying pulse width, and the heat exchange frequency, and finding a parameter combination that optimally matches the material activation time window and the interfacial energy threshold through a tensor iteration algorithm.

3. The ultra-high performance concrete intelligent preparation system according to claim 2, characterized in that, Converting the solution result of the balance matrix into a system execution layer instruction set, and synchronously adjusting the torque fluctuation mode of the screw conveyor, the frequency shift step of the microwave curing module, and the opening and closing timing of the air film oxygen isolation device; the torque fluctuation mode corresponds to the interfacial energy threshold, the frequency shift step of the microwave curing module corresponds to the hydration reaction rate, and the opening and closing timing of the air film oxygen isolation device corresponds to the environmental humidity fluctuation phase.

4. The ultra-high performance concrete intelligent preparation system according to claim 1, wherein, The dynamic optimization ratio subsystem comprises: A rheological state multi-modal sensing module for continuously capturing the stress relaxation gradient and viscoelastic mutation boundary of different phase interfaces in the three-dimensional flow field of the ultra-high performance concrete mixture through the combined action of a multi-frequency resonance sounding array and a vortex shear wave sensor, constructing a dynamic rheological fingerprint map, quantifying the viscosity as the interfacial shear potential energy difference, mapping the fluidity as the vortex dissipation rate, and forming a rheological model directly related to the material activation time window; A parameter coupling rheological analysis module for inputting the interfacial energy threshold, the material activation time window, and the rheological fingerprint map into a phase state migration prediction matrix and solving through the following paths: Water-cement ratio decision tree: calculating the optimal permeability of the water molecule migration channel based on the spatio-temporal misalignment degree between the shear potential energy difference and the current hydration reaction rate, and generating a water-cement ratio compensation coefficient; Aggregate interference field reconstruction: using the tensor product of the vortex dissipation rate and the interfacial energy threshold to invert the spatial interference blind area of the aggregate gradation, and outputting the aggregate topology interference coefficient; A dynamic ratio adjustment strategy generation module for inputting the water-cement ratio compensation coefficient and the aggregate topology interference coefficient into a stress field-flow field collaborative optimizer to perform dual regulation; Water molecule path optimization: Dynamically adjust the pulse phase of the microatomized water supply module according to the water-cement ratio compensation coefficient; Aggregate interference elimination: Reconstruct the aggregate feeding timing based on the aggregate topological interference coefficient, through the torque recoil effect of staggered vibrating screening and screw conveyor.

5. The ultra-high performance concrete intelligent preparation system according to claim 4, wherein, The parameter-coupled rheological analysis module is solved through the following paths: Water-cement ratio decision tree: Based on the spatio-temporal misalignment degree between the shear potential energy difference and the current hydration reaction rate, calculate the optimal permeability of the water molecule migration channel, and generate the water-cement ratio compensation coefficient; Aggregate interference field reconstruction: Use the tensor product of the vortex dissipation rate and the interfacial energy threshold to invert the spatial interference blind area of the aggregate gradation, and output the aggregate topological interference coefficient.

6. The ultra-high performance concrete intelligent preparation system according to claim 4, characterized in that, The dynamic ratio adjustment strategy generation module performs dual regulation; Water molecule path optimization: Dynamically adjust the pulse phase of the microatomized water supply module according to the water-cement ratio compensation coefficient; Aggregate interference elimination: Reconstruct the aggregate feeding timing based on the aggregate topological interference coefficient, through the torque recoil effect of staggered vibrating screening and screw conveyor.

7. The ultra-high performance concrete intelligent preparation system according to claim 4, wherein, The parameter-coupled rheological analysis module includes: The water-cement ratio compensation coefficient generation path sub-module is used to establish a water molecule migration channel permeability model in the phase state migration prediction matrix: convert the shear potential energy difference into the depth of the adsorption potential well on the surface of the gelling particles, and calculate the critical kinetic energy threshold required for water molecules to break through the potential well in combination with the spatio-temporal misalignment degree; generate the compensation coefficient by dynamically searching for the minimum energy path that synchronizes the critical kinetic energy threshold of water molecules with the hydration reaction rate; The generation path sub-module of the aggregate topological interference coefficient is used to perform a three-dimensional tensor product operation on the vortex dissipation rate and the interfacial energy threshold to generate a spatial interference intensity distribution cloud map, and identify the flow field distortion area caused by aggregate accumulation; analyze the abnormal gradient jump points in the interference cloud map through deconvolution algorithm to locate the core coordinates of the shear potential energy distortion caused by the imbalance of the aggregate gradation; calculate the proportion of the aggregate particle size combination to be compensated according to the geometric topological characteristics of the distortion core, and output the dimension as [coarse / fine aggregate ratio correction amount, surface texture adaptability]; The dual-coefficient generation collaborative constraint sub-module is used for the generation result of the water-cement ratio compensation coefficient to trigger the adjustment of the microatomized water pulse phase, change the rheological properties of the slurry, and update the vortex dissipation rate data in the rheological fingerprint map in real time; the execution effect of the aggregate interference coefficient is fed back to the interfacial energy threshold calculation module through secondary rheological detection to form dynamic constraint conditions for the tensor product operation.

8. The ultra-high performance concrete intelligent preparation system according to claim 1, characterized in that The water-cement ratio compensation coefficient generation path sub-module includes: The adsorption potential well depth mapping unit is used to construct a surface energy distribution field of gelling particles in the phase state migration prediction matrix based on the shear potential energy difference output by the rheological state multi-modal perception module, decompose the shear potential energy difference into the potential energy gradient of the particle surface adsorption sites, and generate a three-dimensional adsorption potential well topology map; the depth of the potential well is negatively correlated with the particle size distribution and the surface hydroxyl density, forming an initial energy barrier for water molecule migration; The spatio-temporal misalignment degree coupling unit is used to adopt the spatio-temporal misalignment degree of the environmental adaptability adjustment subsystem and convert the spatio-temporal misalignment degree into the time window compression coefficient of the water molecule migration path; Combined with the adsorption potential well topology map, calculate the critical kinetic energy threshold spectrum required for water molecules to break through the potential well in different time windows; The critical kinetic energy threshold dynamic balance unit is used to establish an energy-time optimization model for the water molecule migration path; the critical kinetic energy threshold is lower than the maximum energy supply limit of the microwave curing module; the total duration of the time-constrained migration path needs to match the hydration reaction window corrected by the space-time dislocation degree; all possible paths that meet the double constraint conditions are traversed in the energy-time matrix; The minimum energy path calculation unit is used to screen the optimal solution from all possible paths; The compensation coefficient generation unit is used to convert the parameters of the selected path obtained by screening the optimal solution into executable instructions.

9. The ultra-high performance concrete intelligent preparation system according to claim 1, characterized in that, The operation energy efficiency management subsystem includes: The energy consumption mode dynamic perception module is used to receive the hierarchical data stream iteratively generated by the environment and proportioning subsystem. Initially, the temperature and humidity baseline parameters are introduced from the environment adaptability control module, and the viscosity trajectory function and aggregate phase transition threshold output by the dynamic proportioning layer are synchronously accessed; based on the entropy weight model, the input parameters are self-organized and transformed into a multi-dimensional energy efficiency feature vector; The dynamic distribution feature generation module is mainly used to introduce the viscosity real-time mapping coefficient as the decision trigger factor for energy consumption increase and decrease, and supplemented by the instantaneous gradient value of the water-cement ratio to establish the system power consumption elastic response surface; the aggregate proportion correction amount is converted into the dynamic load fluctuation mode of the transmission mechanism through inert compensation, and the fluctuation range of the energy consumption baseline of the electric drive unit is delimited; The multi-domain dynamic matching module is used to calibrate the environmental critical equilibrium point of temperature and humidity according to the correlation analysis between the fluctuation range and the water-cement ratio correction trajectory; the energy consumption mutation threshold of the hot spot equipment module is indirectly limited by the density gradient of the viscosity self-sensing network, triggering the cascade energy consumption focusing active capture mechanism, and dynamically adjusting the cascade frequency state of the power supply module according to the load distribution characteristics.

10. A control system for the super high performance concrete intelligent preparation system according to any one of claims 1 to 9, characterized in that, The said control system includes: The preparation system layout component is used to layout sensors that sense the changes in the external environmental temperature and humidity and the real-time state of the viscosity and fluidity of the ultra-high performance concrete mixture during the preparation process; The preparation system communication component is used to establish the communication between the sensor and the controller. The controller stores the automatic adjustment program of the preparation operation parameters and the water-cement ratio and aggregate proportion program; The program execution component is used to adjust the preparation operation parameters and the water-cement ratio and aggregate proportion according to the output results of the automatic adjustment program of the preparation operation parameters and the water-cement ratio and aggregate proportion program.

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