Physical and chemical enhancement control method and system for multi-source low-quality hazardous waste-based artificial stone

Abstract

The invention provides a multi-source low-quality hazardous waste-based artificial stone physical and chemical enhancement control method and system, and relates to the technical field of computer vision, and the hazardous waste-based artificial stone physical and chemical enhancement control method specifically comprises the following steps: collecting a thermal infrared image and a visible light image of a hazardous waste-based artificial stone in real time; based on the thermal infrared image, the current maintenance stage is judged, and a global strategy is determined according to the maintenance stage; based on thermal infrared image analysis and in combination with the maintenance stage, generating a first type of local guidance weight; on the basis of the surface morphological characteristics obtained by analyzing the visible light image, generating a second-class local class part guidance weight; integrating the global strategy, the first type of local guidance weight and the second type of local guidance weight to generate a final maintenance strategy; and according to the final maintenance strategy, at least one actuator in the maintenance environment is controlled to carry out refined maintenance.

Description

Technical Field

[0001] This invention relates to the field of computer vision technology, and more specifically, to a method for controlling the physicochemical enhancement of artificial stone based on multi-source low-quality hazardous waste. More specifically, this invention utilizes thermal infrared and visible light image processing technologies to perform real-time monitoring and adaptive control of the evolution of the physicochemical properties of artificial stone made primarily from low-quality hazardous waste from various sources during the hydrothermal curing process. Background Technology

[0002] Currently, the technical route for preparing artificial stone using hazardous waste typically includes processes such as raw material pretreatment, mixing and batching, molding, curing, and post-treatment. Among these, curing is a crucial step that determines the physical and mechanical properties of the final product (such as compressive strength, flexural strength, and water absorption). To accelerate the reaction, shorten the production cycle, and improve product performance, hydrothermal curing processes are widely used because they can promote full hydration reactions of raw materials under high temperature and pressure, generating dense, hardened cementitious products. However, existing technologies still face significant challenges in application. Hazardous waste raw materials are characterized by significant multi-source and low-quality characteristics; that is, their sources are wide-ranging, and the chemical composition, mineral phase composition, particle morphology, and reactivity of hazardous waste produced in different regions, industries, and even different batches from the same factory exhibit huge fluctuations and uncertainties. This inherent inhomogeneity of raw materials directly leads to spatial inconsistencies in the hydration reaction kinetics.

[0003] In current production practices, hydrothermal curing processes mostly employ fixed, pre-set process parameters, such as applying a uniform heating rate, constant temperature time, and pressure to the entire curing vessel or batch of products. This one-size-fits-all macroscopic control method cannot adapt to the differences in microscopic reactions caused by the inherent inhomogeneity of raw materials. For large-size, large-area artificial substrates, there may be subtle differences in the raw material composition and molding density in different regions, resulting in localized reactions that are too fast or too slow during the curing process. These defects seriously affect the overall quality, uniformity, and long-term durability of the product, and directly reduce the yield of subsequent cutting and processing. Existing quality control methods mostly rely on offline sampling and testing after curing, using multiple batches of test data to passively adjust process parameters. This method is time-consuming and costly, and cannot provide real-time intervention and correction for dynamic changes during a single production process. Furthermore, it cannot achieve refined and differentiated control over different regions within large-area boards, making the entire curing process like a black box, with its internal mechanisms and state evolution difficult to accurately grasp and control. Summary of the Invention

[0004] This invention provides a method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone, which specifically includes the following steps: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Based on the thermal infrared image, the current maintenance stage is determined, and a global strategy is determined according to the maintenance stage. Based on thermal infrared image analysis and the aforementioned maintenance stage, a first type of local guidance weight is generated; and based on the surface morphology features obtained from the visible light image analysis, a second type of local guidance weight is generated. The global strategy, the first local guidance weight, and the second local guidance weight are integrated to generate a final maintenance strategy; and at least one actuator in the maintenance environment is controlled to perform fine-grained maintenance according to the final maintenance strategy.

[0005] This specification also proposes a multi-source, low-quality hazardous waste-based artificial stone physicochemical enhancement control system, which includes: Acquisition module: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Global strategy generation module: Based on the thermal infrared image, determine the current maintenance stage and determine the global strategy according to the maintenance stage; Local strategy generation module: Based on thermal infrared image analysis and combined with the maintenance stage, it generates a first type of local guidance weight; and based on the surface morphology features obtained from the visible light image analysis, it generates a second type of local guidance weight. Final maintenance strategy generation module: integrates the global strategy, the first local guidance weight and the second local guidance weight to generate the final maintenance strategy; and controls at least one actuator in the maintenance environment to perform fine maintenance according to the final maintenance strategy.

[0006] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the aforementioned method for enhancing the physical and chemical properties of multi-source low-quality hazardous waste-based artificial stone.

[0007] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone.

[0008] This invention significantly improves the adaptability and processing capacity of hazardous waste materials from multiple sources, with low quality and high volatility. By introducing a comprehensive analysis of the physicochemical properties of the raw materials before curing and constructing a comprehensive reactivity index that includes chemical, physical, and mineralogical information, this invention can quantitatively assess the hydration potential of each batch of raw materials. Based on this index, core control parameters (such as stage correction gain factor, global target pressure difference, and local correction coupling coefficient) are adaptively set, transforming the entire control system from a fixed executor into an intelligent decision-maker. Instead of blindly applying uniform process parameters to all raw materials, it tailors optimal curing schemes for raw materials with different properties. This material-specific control model fundamentally solves the core technical problem of unstable finished product quality caused by high raw material volatility, greatly expanding the range of usable hazardous waste types and improving the universality and economy of resource utilization.

[0009] This invention divides the nonlinear hydrothermal curing process into four stages: an induction period, an acceleration period, a deceleration period, and a stabilization and cooling period, each with different reaction mechanisms. By monitoring global thermodynamic parameters (such as average temperature and average heat release rate) in real time, the system can accurately determine the current stage and execute an optimized global strategy accordingly. This phased and targeted macroscopic control avoids the problems of overheating or insufficient driving force that may occur in key stages of traditional one-size-fits-all curing, ensuring that the hydration reaction obtains the correct environmental conditions at the right time, laying a solid foundation for the formation of product performance.

[0010] Based on a globally defined strategy, this invention utilizes multimodal sensing technology to provide real-time, in-depth insights into the local condition of stone from two dimensions: temperature field uniformity and surface morphology health. Temperature correction based on infrared thermal imaging can promptly address cold and hot spots caused by uneven reactions; morphological defect avoidance based on visible light images can proactively identify and intervene in early signs of defects such as dampness and microcracks. This control architecture, combining macro-level regulation with micro-level correction, and through the integration of final maintenance strategies, ensures optimal maintenance from the entire slab to every local area, thereby significantly reducing internal defects and improving overall mechanical properties and durability.

[0011] By introducing stabilization mechanisms such as time-smoothing filtering and response dead zones, the system achieves both high sensitivity and robustness, avoiding overreaction to irrelevant noise and frequent oscillations of the actuators, thus ensuring long-term stable operation in industrial production environments. Simultaneously, through precise judgment of the reaction process and refined on-demand supply of energy and water vapor, this invention effectively avoids the quality risks and energy waste caused by insufficient or excessive curing time, achieving a shorter curing cycle and reduced overall energy consumption while ensuring product quality. Attached Figure Description

[0012] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of the method for controlling the physical and chemical enhancement of artificial stone based on multi-source low-quality hazardous waste according to the present invention. Detailed Implementation

[0014] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this application, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number and aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using structures and / or functionalities other than one or more of the aspects set forth herein.

[0016] Additionally, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that practice can be carried out without these specific details.

[0017] This specification presents an embodiment of a method for controlling the physical and chemical enhancement of multi-source, low-quality hazardous waste-based artificial stone. The method specifically includes the following steps: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Based on the thermal infrared image, the current maintenance stage is determined, and a global strategy is determined according to the maintenance stage. Based on thermal infrared image analysis and the aforementioned maintenance stage, a first type of local guidance weight is generated; and based on the surface morphology features obtained from the visible light image analysis, a second type of local guidance weight is generated. The global strategy, the first local guidance weight, and the second local guidance weight are integrated to generate a final maintenance strategy; and at least one actuator in the maintenance environment is controlled to perform fine-grained maintenance according to the final maintenance strategy.

[0018] This invention provides a multi-source, low-quality hazardous waste-based artificial stone physicochemical enhancement control system, the implementation of which is integrated into a horizontal rectangular autoclave. The autoclave body is welded from high-strength pressure vessel steel plate Q345R, while the inner liner is lined with SUS316L stainless steel to enhance resistance to potential chemical corrosion from different hazardous waste materials. The effective working dimensions inside the autoclave are designed to be 15 meters long, 3 meters wide, and 2 meters high, capable of accommodating and processing large areas of artificial stone slabs. The autoclave door employs a hydraulically driven quick-opening and closing structure and is equipped with a high-temperature, high-pressure resistant, self-tightening silicone rubber inflatable sealing ring to ensure airtightness and safety within the autoclave during the working cycle. The artificial stone slabs to be cured are fed into the autoclave through the door using a dedicated trolley and placed stably on an adjustable-height support frame in the middle of the autoclave, maintaining a distance of approximately 30 centimeters between their bottom and the bottom of the autoclave to allow space for the deployment of sensors and actuators.

[0019] To achieve precise control of the curing environment, the heating and steam supply system in this embodiment employs a coordinated global and local design. Global heating and humidification primarily rely on a DN150 main steam pipe connected to an external industrial boiler. An electrically controlled proportional valve, controlled by the main controller, regulates the total flow of saturated steam entering the vessel, thereby controlling the overall base temperature and pressure within the vessel. Building upon this, to implement a refined local curing strategy, a main steam distribution pipe is laid along the length of the vessel bottom, from which a grid-like steam jet array covering the entire projected area of ​​the foundation stone is derived. This array consists of 150 independent branches (15x10 layout), each branch ending with a high-temperature, high-speed solenoid valve and a wide-angle fan-shaped nozzle. These solenoid valves are connected to a distributed I / O module via signal lines and independently switch on and off under the command of the main controller, thus differentially delivering steam to different areas at the bottom of the foundation stone. Meanwhile, an auxiliary heating matrix consisting of 30 independently controllable mid-wave infrared heating lamps is distributed and installed at the top of the autoclave. Each lamp is controlled by a solid-state relay to control its power output, which is used to provide rapid, delay-free, non-contact energy compensation to the surface of the substrate.

[0020] The sensing system in this embodiment is integrated inside the vessel body and is reinforced for high-temperature and high-humidity environments. At the center of the top of the vessel body, an uncooled long-wave infrared (8-14μm) thermal imager module, model FLIR Tau 2, is installed, featuring a resolution of 640x480 pixels and a temperature measurement range of -40°C to 350°C. This module is encapsulated in a sealed alloy housing with active air cooling, and the front window uses high-transmittance germanium glass, ensuring uninterrupted infrared signal transmission. Visible light image acquisition is achieved through a synchronous pulsed air curtain imaging unit, consisting of a 5-megapixel global shutter industrial CMOS camera and a high-intensity xenon stroboscopic light source. Both are also housed in a sealed enclosure with cooling and a quartz glass window, mounted next to the thermal imager. Immediately in front of its window, an annular air knife is installed, connected to an external clean compressed air source via a high-speed solenoid valve. In addition, four armored thermocouples and a high-precision pressure transmitter are installed inside the vessel to measure the temperature and humidity of the environment inside the vessel, for monitoring global environmental parameters and safety interlocking.

[0021] All wiring for sensing and control components is housed in sealed metal cable trays, leading out of the reactor body and converging into a separate industrial control cabinet. The cabinet's core consists of a Siemens SIMATIC S7-1500 series high-performance programmable logic controller (PLC) and an Advantech industrial computer (IPC) equipped with an Intel Core i7 processor and 32GB of memory. Thermal imagers and industrial cameras are directly connected to the IPC via a gigabit industrial Ethernet interface. The IPC receives and processes high-bitrate image data streams in real time, executing complex image analysis algorithms. The PLC, based on the global and local control commands calculated by the IPC, uses the Profinet industrial fieldbus protocol to control the switching timing of hundreds of steam solenoid valves and the power of infrared heating lamps within the reactor in real time. All raw image sequences, processed temperature and feature matrices, and system control command logs are precisely timestamped and stored on the IPC's built-in 1TB solid-state drive. These logs can be uploaded to the Manufacturing Execution System (MES) server via the factory LAN at set intervals for long-term quality traceability and process optimization analysis.

[0022] This embodiment illustrates the phased division of the hydrothermal curing process for hazardous waste-based artificial stone according to the present invention. The hardening mechanism of hazardous waste-based artificial stone essentially involves a series of complex hydration and hydrothermal synthesis reactions occurring in a humid and hot environment, with silicon, aluminum, calcium, and other oxides contained in hazardous waste as the main active components, ultimately forming an aggregate of hydration products possessing cementitious properties and mechanical strength. This process shares commonalities in basic principles with the hydration process of traditional cementitious materials such as silicate cement, and its reaction rate, phase transformation, and microstructure evolution exhibit distinct nonlinear and phased characteristics over time. Therefore, pre-dividing the entire curing process into four stages with different dominant reaction mechanisms and process requirements is a prerequisite for achieving precise process control and product performance optimization.

[0023] The first stage is defined as the induction period. This stage is the preparation and incubation period for the hydration reaction. When the dried hazardous waste-based mixture is first exposed to a high-temperature and high-humidity water vapor environment, the soluble salts on its surface dissolve rapidly. At the same time, amorphous active silica, alumina, and other components in the raw material begin to slowly dissolve and release silicate, aluminate, and other ions under the action of water molecules and OH-, which then enter the porous liquid phase. At this time, the chemical reaction rate is low, and the exothermic reaction of the system is extremely weak; it may even show a slight cooling due to the endothermic effect of the dissolution of substances. The characteristic of this stage is that the strength does not increase significantly, and the microstructure has not yet been established. Therefore, the process requirement for this stage is not to pursue rapid heating, but to provide sufficient and saturated water vapor to ensure that all particle surfaces are fully wetted, creating the necessary liquid phase environment for ion dissolution and migration. In terms of temperature, it is required to gently and evenly raise the entire stone blank to a preset activation temperature, such as 60-80°C, in order to avoid uncontrolled subsequent reactions due to local overheating, or to generate initial stress inside the blank due to excessive temperature difference.

[0024] The second stage, the acceleration phase, is the core stage that determines the basic framework of the product and the formation of early strength. At the end of the induction phase, the ion concentration in the porous liquid phase reaches a supersaturated state, and hydration products (mainly calcium silicate hydrate (CSH) gel, etc.) begin to nucleate in large quantities and grow rapidly. The newly generated hydration products cover the surface of unreacted hazardous waste particles, but simultaneously rupture due to osmotic pressure, exposing new reaction interfaces and forming a self-catalytic chain reaction, leading to a sharp increase in the overall reaction rate. This process is accompanied by intense exothermic activity and is the period of fastest temperature rise in the entire curing cycle. This stage is characterized by high water consumption and rapid increases in strength and density. Technically, a continuous supply of high-temperature steam, far exceeding stoichiometric requirements, must be provided. This steam acts both as a reactant directly participating in hydration and as a heat carrier, maintaining the system at a high-temperature platform that achieves the highest reaction efficiency. Simultaneously, due to the intense exothermic activity of the system itself, temperature control becomes a high-level constraint; that is, while ensuring reactivity, it is necessary to remove excess heat to prevent local temperatures from exceeding the critical point and causing adverse phase transitions or thermal damage.

[0025] The third stage is the deceleration phase, which can be seen as a period of refinement and microstructure improvement for product performance. After the rapid reaction of the acceleration phase, most of the readily reactive active substances have been consumed, and the surface of unreacted particles is coated with a relatively dense layer of hydration products. At this point, the controlling steps of the entire reaction change from interfacial chemical reaction to diffusion control, meaning that water molecules and ions need to penetrate the generated product layer to reach the unreacted core, resulting in a significant decrease in the reaction rate, and the exothermic rate also gradually declines from its peak. The characteristic of this stage is a slower increase in strength, but the long-term durability, impermeability, and other properties related to the fineness of the pore structure of the product are significantly improved. In terms of process requirements, the demand for water decreases, but a saturated water vapor environment must still be maintained to prevent the green body from drying out and interrupting diffusion. In terms of temperature, stable maintenance is required, that is, continuing to keep the system at the same high-temperature platform as in the acceleration phase to provide sufficient energy for the slow diffusion process, promote the formation of more stable and more crystalline hydration products, and thus optimize the final microstructure.

[0026] The fourth stage is the stabilization and cooling period. At this point, the hydration reaction has essentially ceased, and the macroscopic physicochemical properties of the system no longer change significantly. The core task at this stage is no longer to promote the reaction, but to safely transition the finished product from its high-temperature, high-pressure state to a normal-temperature, normal-pressure environment. If the cooling is too rapid, the huge temperature difference between the inside and outside will cause the surface layer of the stone to shrink faster than the inner layer, generating enormous tensile stress, which can easily lead to destructive macroscopic cracks on the surface or inside the product. Therefore, the process requirements for steam and temperature at this stage change to a coordinated, programmed, and slow cooling. By gradually and gently reducing the steam pressure and temperature inside the reactor, and strictly controlling the cooling rate, the temperature field of the entire large-area stone is kept as uniform as possible, thereby safely releasing thermal stress and ensuring the integrity and final quality of the product.

[0027] Next, this embodiment will detail the specific data processing method and decision logic used in the present invention for real-time determination of the current hydrothermal curing stage.

[0028] At any time The system acquires a single frame of thermal infrared image covering the entire stone surface from a thermal infrared imager. This image can be represented as a temperature matrix. Each element in the matrix Represents coordinates At the moment The temperature value. To obtain macroscopic indicators characterizing the global thermodynamic state, the system calculates the spatial average temperature of the entire stone surface. The spatial average temperature is obtained by taking the arithmetic mean of the temperature values ​​of all valid pixels in the image matrix. Its mathematical expression is:

[0029] in, This represents the total number of valid pixels covering the stone area in the image. and These represent the number of rows and columns of the image matrix, respectively. To eliminate the influence of random noise on subsequent calculations, in practical applications, the obtained... Time series data are smoothed using algorithms such as moving average or Kalman filtering to obtain a more robust average temperature change curve.

[0030] Based on the smoothed average temperature time series, the system further calculates the average exothermic rate, which directly reflects the intensity of the hydration reaction. Since the material's exothermic power is proportional to the temperature rise rate, the derivative of the average temperature with respect to time can be used as an equivalent characterization index of the average exothermic rate, denoted as [equation missing]. In discrete sampling systems, this value is approximated using differences:

[0031] in, It is the data sampling time interval of the system. The magnitude and sign of the value indicate whether the overall hydration reaction is accelerating, decelerating, stabilizing, or has stopped. This is combined with the average temperature. and average heat release rate The system uses the following logical rules to determine the transition between maintenance stages based on these two indicators.

[0032] The system pre-sets a set of preferred threshold parameters with clear physical meaning to ensure the scientific nature of the stage division. These parameters include: activation temperature. The preferred value is 85°C, which is the critical point at which the active silica-alumina components in hazardous waste begin to dissolve in large quantities and enter the ion exchange and hydration product nucleation stages; high-rate threshold. The preferred value is 0.5°C / min. This rate is significantly higher than the initial temperature rise rate caused by external heating, indicating the start of a rapid acceleration phase dominated by the exothermic reaction itself; low rate threshold. The preferred value is 0.05°C / min. This small rate of change is within the range of heat dissipation and sensor noise in an industrial environment, indicating that the system's endogenous heat release has essentially ceased; and the stable duration... The preferred value is 15 minutes, which is sufficient to confirm that the system has reached thermodynamic steady state, rather than a brief rate fluctuation.

[0033] Based on the above optimized parameters, the specific stage transition logic is as follows. Let the current maintenance stage be the state variable. initial state This is the induction period. When the system detects... and When both conditions are met simultaneously, the induction period is considered to have ended, and the system state is determined to be... Switch to acceleration phase. During acceleration phase, the system will continuously monitor... Once it is detected that it has fallen back from the peak and meets the requirements If the peak reaction rate has passed, the system state is determined to be... Switch to deceleration phase. Subsequently, during deceleration phase operation, if the system detects... If the conditions are met and the duration of these conditions exceeds 15 minutes, then the hydration reaction can be confirmed to be essentially complete, and the system state can be considered normal. Eventually, the temperature will stabilize and cool down.

[0034] The global strategy includes setting at least one parameter among the current stage's temperature setpoint and target pressure.

[0035] When the system state When the stage is determined to be the first phase, i.e., the induction period, the goal of the global strategy is to achieve a gentle warming and environmental saturation with a moderate steam supply. The temperature strategy objective (i.e., the temperature setpoint) for this phase is to achieve a global average temperature... Stable increase to activation temperature The accompanying water vapor strategy aims to establish a mild positive pressure differential, i.e., the target pressure. .in This corresponds to the saturated vapor pressure at the instantaneous average temperature, while the target pressure difference... The preferred value is a moderately positive value. This positive pressure difference ensures a continuous and stable driving force to send steam into the reactor, so as to quickly compensate for the heat loss of condensation in the initial stage of the stone blank and establish a saturated environment with sufficient moisture.

[0036] It can be seen that in the first stage, the global strategy is: temperature setpoint = Meanwhile, target pressure .

[0037] System status Switching to the second stage, the acceleration phase, the overall strategy shifts to supporting the vigorous reaction with the highest possible steam supply and providing overheat protection. During this stage, the hydration reaction is intense, resulting in significant water consumption. Therefore, the steam supply intensity must be maximized. The strategic objective is to establish a significantly high positive pressure differential, i.e., the target pressure. The maximum allowable temperature The preferred temperature is 180°C, while the target pressure difference... Then it is set to a value much larger than the preferred value in the first stage, the preferred value, 80 kPa. Huge. This represents an extremely high steam supply potential, ensuring that steam enters the vessel at maximum flow rate to quickly replenish the water consumed by the chemical reaction; the temperature strategy remains strictly controlled. The upper limit is set to prevent the system from overheating.

[0038] It can be seen that in the second stage, the global strategy is: temperature setpoint = Meanwhile, target pressure .

[0039] When the system state Entering the third stage, the deceleration phase, the overall strategy aims to maintain a stable high-temperature environment with a low-intensity steam supply. During this stage, the rate of chemical moisture consumption has decreased significantly, and the primary role of steam becomes compensating for system heat losses to maintain a constant temperature. Therefore, the steam supply intensity should be reduced accordingly. The strategic objective is to establish a slight positive pressure differential, i.e., the target pressure. Among them, the constant temperature is maintained. The preferred temperature is 175°C, while the target pressure difference... The optimal value is a very small positive value. This tiny positive pressure difference represents a trickle-feed mode, where the flow rate just balances the system's heat dissipation, avoiding unnecessary energy waste.

[0040] It can be seen that in the third stage, the global strategy is: temperature setpoint = Meanwhile, target pressure .

[0041] When the system state Once identified as the fourth stage, the stabilization and cooling period, the overall strategy aims to halt steam supply and execute a programmed cooling process synchronized with temperature and pressure. During this stage, the hydration reaction ceases, and an external steam supply is no longer required. Therefore, the goal of the steam strategy is to achieve the target pressure difference. Set to zero, meaning the steam supply is completely cut off. At this point, the pressure inside the vessel... The control objective is to strictly follow the global average temperature. The decrease is synchronized with the decline, causing its trajectory to coincide with the saturated vapor pressure curve. Maintaining consistency. This process is achieved by controlling the exhaust valve, eliminating the need for steam supply.

[0042] It can be seen that in the fourth stage, the global strategy is: target pressure. .

[0043] In hydrothermal curing environments, water vapor plays a dual role as both a heat transfer medium and a chemical reactant. On one hand, water vapor releases a large amount of heat through condensation and phase change on the relatively cool stone surface, making it the most efficient way to transfer energy to the stone body. On the other hand, water is an indispensable component of the hydration reaction, which itself is exothermic. Therefore, a causal relationship is formed between local temperature and local water vapor status: a cold spot with a temperature below the average indicates a potential water vapor shortage. This shortage leads to less external energy input from condensation heat exchange and, more importantly, a slower rate of exothermic chemical reactions due to a lack of reactant (water), resulting in a lower-than-average heat release. Conversely, a hot spot with a temperature above the average usually indicates an overly vigorous chemical reaction, which accelerates water consumption. If not replenished in time, this can lead to localized relative water shortage, potentially causing incomplete hydration and microcracks due to shrinkage. Abnormal local temperature distribution is largely a direct manifestation of an imbalance between local water vapor supply and demand. Therefore, by actively adjusting the local water vapor supply, the local heat transfer and reaction processes can be directly intervened, which is one of the most efficient and fundamental means of correcting local temperature deviations.

[0044] Calculate local temperature deviation At any given time The system acquires a thermal infrared image matrix. And calculate the global average temperature Then, for each pixel Calculate the deviation from the average temperature.

[0045]

[0046] Introduction and maintenance stage Related stage correction gain factor This factor dynamically adjusts its correction strength based on the process sensitivity at different curing stages. Its preferred value is: (Induction period) (Acceleration period) (Deceleration period) (Cooling-down period). Specifically, in the second stage, i.e., the acceleration period S(t)=2, the cumulative effect of local temperature difference and the risk of runaway are the highest. Any small deviation may be rapidly amplified, leading to serious quality defects. Therefore, the strongest correction is required, so K1(2) takes the maximum value, preferably 2.5. In the third (deceleration period) and fourth (cooling-down period) stages, when S(t)=3 and S(t)=4, the system faces the key tasks of microstructure solidification and thermal stress release, respectively. Temperature uniformity is still crucial, but the urgency of the risk is slightly lower than in the acceleration period. Therefore, K1(3) and K1(4) take the second highest values, preferably 1.5. In the first stage, i.e., the induction period S(t)=1, the main task of the system is to establish a uniform initial field. The reaction has not yet occurred on a large scale. Excessive correction may cause system oscillation. Therefore, the correction intensity is the most moderate, and K1(1) takes the minimum value, preferably 1.0.

[0047] For auxiliary heating systems, specifically infrared heating lamps, the local energy guidance weighting is as follows. This weight is intended for supplementary calorie regulation.

[0048] ; In addition, this embodiment also generates an independent local steam guidance weight for directly controlling the local steam supply. The correction for local temperature deviations corresponds perfectly to the regulation requirements for local water vapor (cold spots require additional steam, and hot spots require managed steam). Therefore, its weight generation is mathematically consistent with the local energy guidance weight. Both the local water vapor guidance weight and the local energy guidance weight belong to the first type of guidance weight.

[0049] .

[0050] To illustrate more specifically the calculation process and final form of the first type of local guidance weight in this invention, this application provides an exemplary embodiment.

[0051] Determine the maintenance stage and gain factor; Assuming in At any given time, the system calculates based on thermal infrared images. and And compare it with the threshold to determine the current maintenance stage. In the second stage: acceleration phase ( ).

[0052] The system retrieves the stage correction gain factor corresponding to this stage, i.e. .

[0053] Acquire input data (thermal infrared image); exist At a certain moment, the acquisition module obtains a frame of thermal infrared image. For simplicity, assume that the image only covers one area. The temperature matrix of a local region of a pixel. The following (unit: °C) .

[0054] Calculate the global average temperature ; The system calculates the average temperature of the area: ; .

[0055] Calculate local temperature deviation .

[0056] Calculate the local temperature deviation matrix for each pixel. , .

[0057] ; ; Generate the first type of local guidance weights ( and ); Local energy-guided weights : ; Local water vapor guidance weight ; ; Substituting the numerical values, we get: ; ; The first type of local guidance weight has a definite and quantifiable form in this invention, namely, one or more specific numerical matrices corresponding to pixels in a thermal infrared image. and .

[0058] This matrix is ​​what we refer to as the weights in this invention. These values ​​will be used to locally adjust the global strategy.

[0059] Using the algorithm described above, the system generates two weight matrices of the same size but with different uses at each time step. The matrix is ​​used to guide auxiliary energy devices such as infrared heating arrays, while The matrix is ​​then used directly to guide the local steam jet array. For example, at the pixel level. place, A large positive value means that the control system should significantly increase the steam injection rate of the nozzle corresponding to that location. This dual-channel weighting method enables the system to perform more complex and coordinated local control. For example, when dealing with a stubborn cold spot, it can simultaneously increase the local infrared heating power and steam supply, thereby achieving the most efficient temperature uniformity correction.

[0060] The algorithm input in this embodiment is a visible light image free from vapor interference, obtained through synchronous pulsed air curtain imaging technology. The system preprocesses the image, converting it into an 8-bit grayscale image. A 5x5 kernel is applied for median filtering to maintain the sharpness of defect edges while suppressing random noise.

[0061] For the extraction of surface wet marks, a first-type defect, this invention employs a local threshold segmentation algorithm. Since the overall brightness and color of the entire stone changes during the curing process, a globally fixed threshold method is not applicable. The grayscale value of the wet mark area is significantly lower than that of its adjacent normal area. The algorithm traverses the grayscale image... Each pixel And calculate it as a center size of The average grayscale value within the neighborhood window is then used. Finally, the threshold for that pixel is set to the average grayscale value of the neighborhood minus a preset offset constant. If the actual grayscale value of a pixel is lower than this dynamically calculated threshold, then the pixel is determined to be a wet spot region. This generates a binarized wet spot mask image. .

[0062]

[0063] in, For point exist The grayscale value at time [time]. To improve robustness, the system will also [process] the generated binary mask. Perform morphological opening operations to eliminate isolated noise points.

[0064] For the extraction of microcracks, a type of defect, which are characterized by elongated dark lines, this invention employs a ridge-line detection algorithm. A standard deviation is used... Gaussian kernel for grayscale images Smooth the surface, then apply the Laplace operator. Edge enhancement is performed to obtain the response image. In response image In the middle, the crack will appear as a ridge with a high positive value. By setting a threshold... ,right Binarization is performed to initially screen out pixels that may be cracks. A morphological skeletonization algorithm is then applied to the binarization result to refine the detected coarse lines into curves of single-pixel width, and artifacts that are too short are removed, ultimately generating an accurate micro-crack mask image. .

[0065] After obtaining the wetness mask and microcrack mask The system will then generate a second type of local guidance weight based on this. This second type of local guidance weight is decomposed into auxiliary energy guidance weights. And auxiliary water vapor guidance weight Its generation logic is based on the analysis of defect causes: wet stain areas indicate reaction lag and poor moisture evaporation, requiring increased energy and steam to promote the reaction; while microcrack areas indicate localized overheating or stress concentration, requiring a significant reduction in energy input to prevent deterioration. The system presets correction strength factors for two types of defects: wet stain correction strength. and crack correction strength The final weight generation formula is as follows:

[0066]

[0067] This formula ensures that at pixels identified as cracks ( The weight is a large negative value ( ); while pixels that were not identified as cracks but were identified as wet marks ( The weight is a medium-sized positive value. In the normal region, the weights are zero. These two weight matrices... and It will act as an independent correction signal, working together with the first type of guidance weights in the final controller.

[0068] To illustrate more specifically the calculation process and final form of the second type of local guidance weight in this invention, this application provides an exemplary embodiment.

[0069] Get the input data; exist At that time, the system had completed the processing of visible light grayscale images using a local threshold segmentation algorithm for surface wet marks and a ridge-based detection algorithm for microcracks. The analysis was performed, and the corresponding binary defect mask was generated.

[0070] For a simplified example, let's assume we analyze a... Local region of a pixel: System-generated wet spot mask As shown below (1 represents wetness, 0 represents normal): ; System-generated microcrack mask As shown below (1 represents a crack, 0 represents normal): ; The state analysis of this area is as follows: pixels , : Only wet marks. Pixels , Only micro-cracks. Pixels Simultaneously identified as wet marks and microcracks. Other pixels: normal area.

[0071] Set the correction intensity factor The system presets correction intensity factors for two types of defects. In this embodiment, the preferred values ​​are set as follows: Wet Mark Correction Strength Crack correction strength ; Calculate the second type of local guidance weights ( and This weight is also decomposed into two channels: energy and water vapor. ; ; For clarity, the calculations will be performed step by step: Step A: Calculate the crack correction term This item represents the negative correction caused by the crack: ; Step B: Calculate the wet mark correction term This term represents the positive correction caused by wet marks in non-cracked areas. First, calculate... That is, the mask for non-crack regions: ; Then, calculate That is, the area that is only wet: ; Finally, multiply by the wet stain correction strength. : ; Step C: Integrate and generate the final weight matrix by adding the results of Step A and Step B: ; ; As shown above, the second type of local guidance weight also has a clear quantifiable form in this invention, namely a specific numerical matrix ( and ).

[0072] The first step in the integration process is to linearly superimpose the local guidance weights from different sensing modalities. This effectively integrates reactive correction weights based on temperature deviations with proactive avoidance weights based on morphological defects. For energy channels, the total local energy correction weights are... The calculation method is as follows:

[0073] For water vapor channels, total and local water vapor correction weights The calculation method is as follows:

[0074] The second step, to prevent the system from overreacting to instantaneous high-frequency noise or disturbances, introduces a time-smoothing filtering mechanism. Instead of directly using the instantaneous total weight, the system calculates a more time-smooth weight value using an exponentially weighted moving average algorithm. Its expression is: =

[0075]

[0076] in, It is a smoothing factor. This is the update cycle of control commands, which differs from the faster sensor data sampling cycle. This smoothing process ensures that only persistent deviation trends drive the control system to respond.

[0077] The third step, to avoid unnecessary corrections to smoothed but still extremely small deviations, introduces a response dead zone mechanism. Only when the absolute value of the smoothing weight exceeds a preset dead zone threshold will a response dead zone be applied. Only when this condition is met is the weight considered valid and required to be applied. Therefore, the valid correction weight ultimately used for correction is defined. :

[0078] The fourth step involves using the stabilized and effectively corrected weights to perform a final correction to the global baseline strategy. The main controller calculates the baseline energy control signal for the current moment based on the global strategy. and reference steam control signal .

[0079] To those skilled in the art, the reference energy control signal and reference steam control signal This is the global control output obtained by the main controller to implement the global strategy described in this invention. Specifically, the global strategy provides the setpoint for the PID controller, while sensors (such as thermocouples and pressure transmitters) provide the process variables. Reference steam control signal. The calculations include: Pressure error : ; The actual pressure inside the vessel is measured in real time by a pressure transmitter. The reference steam control signal is calculated using a proportional-integral controller. ; in, and These are the proportional and integral gain coefficients of the steam control loop.

[0080] Reference energy control signal Calculation: Calculate temperature error : ; in, The target temperature is determined by the current maintenance phase. The reference energy control signal is calculated by the controller. ; in, and These are the proportional and integral gain coefficients of the energy control loop.

[0081] Then, a local modified coupling coefficient is introduced. (Energy Channels) and (Water vapor channels) are used to scale the influence of weights, ultimately resulting in energy control commands. for:

[0082] Final steam control command for:

[0083] The final step is the physical execution of the instructions. The system will ultimately generate a two-dimensional instruction matrix. and The data is then sent to the corresponding actuator array. For a point... The auxiliary infrared heating lamp at the location, its power controller will receive the command value This is directly converted into the corresponding heating power. For point... The local steam nozzles at the location, and their high-speed solenoid valve controllers, will assign command values. The duty cycle is converted into a precise pulse width modulation (PWM) signal, and by controlling the proportion of valve opening time per unit time, continuous regulation of local steam flow is achieved.

[0084] This embodiment further discloses an adaptive optimization method for control parameters. Before the hazardous waste-based mixture enters the curing process, a quantitative comprehensive reactivity index is calculated through a comprehensive analysis of its physicochemical properties. Based on this index, the core control parameters in the subsequent maintenance process are automatically adjusted. This method solves the problem of poor control effect of fixed parameters caused by the wide variety of raw material sources and large quality fluctuations, and achieves true material-specific control.

[0085] Comprehensive Reactivity Index It is composed of weighted sub-indices from three dimensions: chemical, physical, and mineral. Chemical activity index ( The chemical activity index primarily characterizes the hydration potential of the raw material's chemical composition. In silicate systems, the ratio of basic oxides (such as CaO) to acidic oxides (such as SiO2, Al2O3) is crucial for activity. A modified hydraulic modulus is defined as the chemical activity index. in, The values ​​represent the mass percentages (%) of CaO, SO3, SiO2, and Al2O3 in the raw materials, determined by X-ray fluorescence spectrometry (XRF). SO3, being a sulfate, is considered a negative factor as excessive content negatively impacts later-stage stability. These are the weighting coefficients for each chemical component, used to determine their different contributions to the hydration reaction. A set of preferred empirical values ​​is... .

[0086] Physical activity index ( The physical morphology of the raw materials characterizes the effect of reaction rate. Reactivity is directly proportional to specific surface area and inversely proportional to particle size. The physical activity index is defined as: in: The specific surface area of ​​the material (unit: m² / g) is measured by nitrogen adsorption method. It is the median particle size (unit: μm) measured by a laser particle size analyzer, which is the particle size corresponding to a cumulative particle size distribution percentage of 50%. These are the weighting coefficients for specific surface area and particle size. A set of preferred values ​​is: .

[0087] Mineral activity index ( This index characterizes the influence of the relative reactivity of different minerals in the raw material. Highly crystalline quartz (SiO2) has significantly lower reactivity than amorphous glassy phases or tricalcium silicate (C3S). The mineral activity index is defined as the relative ratio of active to inactive minerals, and is analyzed semi-quantitatively using RIR or full-spectrum fitting of X-ray diffraction (XRD) patterns. in: It is the sum of the mass percentages of all active mineral phases (such as C3S, C2S, and amorphous glass phase). It is the sum of the mass percentages of all inert or low-activity mineral phases (such as quartz and calcite). The index value is between 0 and 1, reflecting the proportion of effective components in the raw material.

[0088] Because the three sub-indices have different dimensions and numerical ranges, they must be normalized before weighting. The max-min normalization method is used to transform each index to the [0, 1] interval: in, It is the measured value of any sub-index. and These are the minimum and maximum values ​​of this index in the historical database. (Comprehensive Reactivity Index) The results are obtained by weighted summation of the normalized component indices:

[0089] in, It is the final weight of the three sub-indices. , , These are the normalized chemical, physical, and mineral activity indices, respectively.

[0090] Acceleration phase correction gain factor For highly active raw materials ( (This requires stronger suppression capabilities.) The activity index is used as a reference.

[0091] Acceleration phase global target pressure difference For highly reactive raw materials, it is necessary to reduce the external energy supply. ; Locally corrected coupling coefficient (Water vapor channel): For highly reactive raw materials, local water vapor regulation needs to be more sensitive. .

[0092] In this invention, the final maintenance strategy is a set of specific spatially differentiated control instruction matrices that correspond one-to-one with the actuator array.

[0093] This embodiment builds upon the calculation results of the previous two embodiments (examples of the first and second types of local guidance weights), and then explains how the final maintenance strategy is obtained through explicit calculation steps. This process includes: Assuming in At this moment, the system determines that it is currently in the second stage: the acceleration period.

[0094] Based on the definition of the acceleration phase, the global strategy for this stage is: temperature setpoint. Target pressure .

[0095] at this time Slightly lower The steam PI controller outputs a high-level signal to achieve the highest intensity steam supply: (i.e., 95%), at this point near The energy PI controller outputs a low-order signal to prevent overheating. (i.e., 10%).

[0096] First type of local guidance weight: ; Second type of local guidance weight: ; Control parameters, time smoothing factor Response dead zone threshold Energy-corrected coupling coefficient Water vapor corrected coupling coefficient ; This is the cycle immediately following startup; the smoothing weight of the previous cycle. matrix.

[0097] The weights are then added linearly. ); ; ; Should The matrix is and .

[0098] Time smoothing filter : ; ; Step C: Response Dead Zone Handling ( ): ,(like )or (like ).

[0099] because ,and The absolute values ​​of all non-zero terms in the equation are Therefore, the matrix remains unchanged: ; This matrix represents the effective corrected weights.

[0100] Ultimate Energy Conservation Strategy : ; ; ; Final water vapor curing strategy : ; ; ; ; The above calculations yielded and The two matrices represent the final maintenance strategy defined in this invention.

[0101] This specification also proposes a multi-source, low-quality hazardous waste-based artificial stone physicochemical enhancement control system, which includes: proximity... Acquisition module: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Global strategy generation module: Based on the thermal infrared image, determine the current maintenance stage and determine the global strategy according to the maintenance stage; Local strategy generation module: Based on thermal infrared image analysis and combined with the maintenance stage, it generates a first type of local guidance weight; and based on the surface morphology features obtained from the visible light image analysis, it generates a second type of local guidance weight. Final maintenance strategy generation module: integrates the global strategy, the first local guidance weight and the second local guidance weight to generate the final maintenance strategy; and controls at least one actuator in the maintenance environment to perform fine maintenance according to the final maintenance strategy.

[0102] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the aforementioned method for enhancing the physical and chemical properties of multi-source low-quality hazardous waste-based artificial stone.

[0103] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone.

[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0105] In this specification, the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the descriptions of the embodiments described later are relatively simple, and relevant parts can be referred to the descriptions of the foregoing embodiments.

[0106] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone, characterized in that, The method includes: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Based on the thermal infrared image, the current maintenance stage is determined, and a global strategy is determined according to the maintenance stage; Based on thermal infrared image analysis and the aforementioned maintenance stage, a first type of local guidance weight is generated; and based on the surface morphology features obtained from the visible light image analysis, a second type of local guidance weight is generated. The global strategy, the first type of local guidance weights, and the second type of local guidance weights are integrated to generate a final maintenance strategy; and based on the final maintenance strategy, at least one actuator in the maintenance environment is controlled to perform refined maintenance.

2. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 1, characterized in that, Prior to the real-time data acquisition step, the method further includes: acquiring the physical and chemical properties of the raw materials of the hazardous waste-based artificial stone to be maintained, and determining a comprehensive reactivity index based on the physical and chemical properties; and adaptively setting at least one core control parameter according to the comprehensive reactivity index.

3. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 2, characterized in that, The determination of the current maintenance stage based on the thermal infrared image specifically includes: calculating the average temperature and average heat release rate characterizing the overall heat release state of the hazardous waste-based artificial stone based on the thermal infrared image; and determining the current maintenance stage based on the average temperature and average heat release rate.

4. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 3, characterized in that: The step of generating the first type of local guidance weight based on the thermal infrared image analysis and the maintenance stage specifically includes: calculating the local temperature deviation of each area on the surface of the hazardous waste-based artificial stone according to the thermal infrared image; and generating the first type of local guidance weight according to the local temperature deviation and the current maintenance stage.

5. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 4, characterized in that: Both the first type of local guidance weight and the second type of local guidance weight include energy guidance weight for energy regulation and water vapor guidance weight for water vapor regulation; the final maintenance strategy accordingly includes independent control strategies for energy and water vapor that have been locally modified.

6. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 5, characterized in that: The step of integrating the global policy, the first type of local guidance weights, and the second type of local guidance weights includes: performing time-smoothing filtering and / or applying response dead-zone processing on the first and second types of local guidance weights to generate effective correction weights for correcting the global policy.

7. The method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone according to claim 6, characterized in that: The actuator includes a local steam jet array and / or a local heating array disposed within the curing environment; the step of controlling according to the final curing strategy includes converting the final curing strategy into independent control commands for each execution unit in the array, so as to achieve differentiated curing of different local areas of the hazardous waste-based artificial stone.

8. A multi-source low-quality hazardous waste-based artificial stone physicochemical enhancement control system, the system being used to execute the multi-source low-quality hazardous waste-based artificial stone physicochemical enhancement control method as described in any one of claims 1-7, characterized in that, The system includes: Acquisition module: Real-time acquisition of thermal infrared and visible light images of the hazardous waste-based artificial stone; Global strategy generation module: Based on the thermal infrared image, determine the current maintenance stage and determine the global strategy according to the maintenance stage; Local strategy generation module: Based on thermal infrared image analysis and combined with the maintenance stage, it generates a first type of local guidance weight; and based on the surface morphology features obtained from the visible light image analysis, it generates a second type of local guidance weight. Final maintenance strategy generation module: integrates the strategy, the first type of local guidance weights and the second type of local guidance weights to generate a final maintenance strategy; and controls at least one actuator in the maintenance environment to perform fine maintenance according to the final maintenance strategy.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements a method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for controlling the physical and chemical enhancement of multi-source low-quality hazardous waste-based artificial stone as described in any one of claims 1-7.

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