Heat-insulating self-adaptive coating, construction method and spraying system applying coating

Abstract

The invention relates to the technical field of crossing of building energy-saving materials and intelligent construction systems, in particular to a heat-insulation self-adaptive coating, a construction method and a spraying system applying the coating. Comprising the following components in parts by weight: 6-9 parts of IWO (at) ATO core-shell particles, 3.5-5.5 parts of air-filled hollow glass beads, 1-3.5 parts of nano silica sol, 0.2-0.4 part of hydrophobic fumed silica, 1.5-2.5 parts of polysulfide rubber, 0.6-1 part of methyl ethyl ketone peroxide and the balance of hydrogenated epoxy resin. The construction method comprises the steps of identifying a base material type, and determining parameters according to the base material type; pre-treating the base material according to the type of the base material; calculating the required dry film thickness, configuring the wet film thickness according to the dry film thickness and the solid content, and uniformly spraying by adopting real-time spraying control equipment; and curing according to a construction environment selection mode. Therefore, the problems that the infrared blocking effect is insufficient, the heat accumulation temperature difference is small, and the light transmittance cannot be adjusted are solved.

Description

Technical Field

[0001] The present application relates to the intersecting technical field of building energy-saving materials and intelligent construction systems, and in particular to a heat-insulating adaptive coating, a construction method, and a spraying system using the coating. Background Art

[0002] In the field of building energy conservation, thermal insulation coatings are key materials for reducing building energy consumption, and their performance and applicability have always been the focus of industry research. However, existing technologies have many limitations in practical applications, making it difficult to meet the energy-saving renovation needs of multiple scenarios, especially special buildings. This is mainly reflected in the following aspects: First, the infrared blocking rate of traditional thermal insulation coatings is generally ≤87%, and the ability to block infrared heat, which accounts for a very high proportion of solar radiation, is limited, resulting in poor thermal insulation effect. Second, due to limitations in material formulation and structural design, the thermal accumulation temperature difference generated after the application of existing coatings is usually ≤4.5°C, which cannot effectively reduce the internal temperature of the building and has low energy-saving efficiency. Third, most coatings are only suitable for flat substrates. When facing different types of substrates such as metal, concrete, ceramic tiles, and limestone, problems such as insufficient adhesion and unstable performance are prone to occur, making it difficult to meet the construction needs of complex building structures. Fourth, in the energy-saving renovation of historical buildings, traditional pre-treatment processes such as sandblasting will cause damage of more than 100μm to the building surface, destroying the original building texture and historical style. 5. Most existing paints are white, which will cover the natural color and texture of the original building after application. Their applicability is limited, especially in scenes with strict requirements on appearance, such as historical buildings and characteristic buildings. Summary of the Invention

[0003] The present application provides a thermal insulation adaptive coating, a construction method and a spraying system using the coating to solve the problems of existing coatings such as insufficient infrared blocking effect, small heat accumulation temperature difference, and inability to adjust light transmittance.

[0004] The first embodiment of the present application provides a thermal insulation adaptive coating, which is composed of IWO@ATO core-shell particles, air-filled hollow glass microspheres, nano-silica sol, hydrophobic fumed silica, hydrogenated epoxy resin, polysulfide rubber, and methyl ethyl ketone peroxide.

[0005] Furthermore, the thermally insulating adaptive coating comprises, by mass fraction, 6-9 parts of IWO@ATO core-shell particles, 3.5-5.5 parts of air-filled hollow glass microspheres, 1-3.5 parts of nano-silica sol, 0.2-0.4 parts of hydrophobic fumed silica, 1.5-2.5 parts of polysulfide rubber, 0.6-1 parts of methyl ethyl ketone peroxide, and the balance being hydrogenated epoxy resin.

[0006] Optionally, the core layer of the IWO@ATO core-shell particles The tungsten doping amount is 5.0±0.3at%, and the wall thickness of the air-filled hollow glass microspheres is 0.30±0.05μm.

[0007] Optionally, the calculation formula for the hydrogenated epoxy resin remainder is:

[0008] Wherein, F is the percentage of hydrogenated epoxy resin by mass; is the percentage of the mass of IWO@ATO core-shell particles; is the percentage of the mass of the air-filled hollow glass microspheres; C is the percentage of the mass of the nano-silica sol; D is the percentage of the mass of the hydrophobic fumed silica; is the percentage of polysulfide rubber by mass. Polysulfide rubber is a special additive for metal roofs. For non-metal roofs, is 0; is the percentage of methyl ethyl ketone peroxide by mass. Methyl ethyl ketone peroxide is a special additive for curing shadow areas. The curing time for non-shadow areas is is 0.

[0009] Optionally, when applied to building integrated photovoltaic (BIPV), the heat-insulating adaptive coating is applied to the photovoltaic glass backboard, which can make the operating temperature of the component ≤45°C and the annual attenuation rate of the photoelectric conversion efficiency ≤2.5%.

[0010] The second aspect of the present application provides a method for constructing a thermally insulating adaptive coating, comprising the following steps: identifying the substrate type and determining key parameters according to the substrate type; pre-treating the substrate using an adaptive process according to the substrate type, wherein, for metal roofs, sandblasting is first performed to remove surface rust and impurities, and then chromate oxidation treatment is implemented; for porous substrates, the porosity is first measured, and then a silica sol solution is prepared according to a silica sol concentration formula, and the prepared silica sol solution is evenly applied to the substrate; the required dry film thickness is calculated according to a dynamic film thickness formula, the wet film thickness is prepared according to the required dry film thickness and solid content, and the coating is evenly sprayed using real-time spray control equipment; and an adaptive method is selected for curing according to the construction environment.

[0011] Optionally, the real-time spray control device includes: a laser thickness sensor, an embedded processor, and a robotic arm execution unit, wherein the laser thickness sensor is used for closed-loop feedback of film thickness data; the embedded processor is used to run the ResNet-50 substrate recognition model and the film thickness calculation engine to obtain the required dry film thickness; the robotic arm execution unit is used to control the nozzle according to the required dry film thickness for spraying.

[0012] Optionally, the dynamic film thickness formula is:

[0013] Where H is the required dry film thickness; is the optical constant of the corresponding substrate; is the target light transmittance, which can be adjusted from 50% to 80%; is the roughness compensation coefficient of the corresponding substrate; is the surface roughness of the corresponding substrate; The silica sol concentration formula is:

[0014] Wherein, C is the concentration of silica sol; is the porosity percentage.

[0015] Optionally, a method for applying a thermally insulating adaptive coating to a historical building comprises: cleaning the building surface using a microparticle spraying process that complies with the T / CECS 1018-2022 standard; after the surface is clean and dry, applying a nano-lime reinforcement, wherein: The concentration needs to be controlled within the range of 8.0±0.5%; silicone acrylic emulsion is selected as the covering material for covering treatment, and the glass transition temperature of the silicone acrylic emulsion needs to be within the range of 25±2°C.

[0016] The third embodiment of the present application provides a spraying system using a thermal insulation adaptive coating, characterized in that it includes: a substrate recognition module, a substrate pretreatment module, a film thickness calculation and control module, a robotic arm execution module, and a laser thickness measurement feedback module, wherein the substrate recognition module is used to carry the ResNet-50 substrate recognition model to identify the type of substrate to be constructed, obtain the substrate recognition result, and collect the key parameter data of the substrate through a laser profiler, wherein the key parameter data of the substrate include the optical constants of the substrate, the surface roughness of the substrate, and the porosity; the substrate pretreatment module is used to take adaptive measures according to the characteristics of different substrates. The substrate is pre-processed by a process; the film thickness calculation and control module is used to calculate the required dry film thickness based on the substrate identification result and the key parameter data of the substrate in combination with the target transmittance, and transmit the data to the robotic arm execution module; the robotic arm execution module is used to adjust the nozzle parameters according to the required dry film thickness to realize the spraying of the coating, and ensure that the wet film thickness meets the dry film thickness requirements after conversion according to the solid content, wherein the nozzle parameters include the spray gun caliber, air pressure, and travel speed; the laser thickness measurement feedback module is used to monitor the wet film thickness in the spraying process in real time according to the laser thickness measurement sensor, and feed the data back to the film thickness calculation and control module.

[0017] Therefore, this application has the following beneficial effects: The present embodiment utilizes a triple thermal insulation synergistic mechanism formed by IWO@ATO core-shell particles, air microspheres, and nano-silica sol to achieve an infrared rejection rate of ≥95%, a solar reflectance of ≥89%, and a thermal conductivity of ≤0.083W / (m・K). This can generate a thermal accumulation temperature difference of greater than 14°C on metal roofs, a 226.7% improvement over conventional technologies. Through precise film thickness control and particle concentration gradient technology, the transmittance can be continuously adjusted from 50-80%, preserving the original building texture and color. The coating is adaptable to a variety of substrates, achieving full-substrate adaptive thermal insulation. The material cost is reduced to 23.5 yuan / ㎡, combining excellent thermal insulation performance, wide substrate compatibility, protection for historical buildings, and cost advantages, making it suitable for energy-saving renovations in various building scenarios. This solves the technical problems of existing coatings, such as insufficient infrared blocking, small thermal accumulation temperature difference, and inability to adjust transmittance.

[0018] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 This is a flow chart of a method for applying a thermally insulating adaptive coating according to an embodiment of the present application; Figure 2 This is a schematic structural diagram of a spraying system using a thermally insulating adaptive coating according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0021] The following describes a thermal insulation adaptive coating, a construction method, and a spraying system using the coating according to an embodiment of the present application with reference to the accompanying drawings.

[0022] In response to the problems mentioned in the above background technology that existing coatings have insufficient infrared blocking effect, small heat accumulation temperature difference, and cannot adjust transmittance, the present application provides a thermal insulation adaptive coating. This thermal insulation adaptive coating achieves an infrared blocking rate of ≥95%, a solar reflectance of ≥89%, and a thermal conductivity of ≤0.083W / (m・K) through a triple insulation synergistic mechanism formed by IWO@ATO core-shell particles, air microbeads, and nano-silica sol. It can produce a heat accumulation temperature difference of more than 14°C on the metal roof, which is 226.7% higher than the traditional technology; through precise control of film thickness and particle concentration gradient technology, the transmittance can be continuously adjusted from 50-80%, which can preserve the original building texture and color; it can be adapted to multiple types of substrates to achieve full-substrate adaptive insulation; the large-scale material cost is reduced to 23.5 yuan / ㎡, and it has excellent thermal insulation performance, wide substrate adaptability, protection of historical buildings and cost advantages, and is suitable for energy-saving renovation of buildings in multiple scenarios. This solves the problems of existing coatings such as insufficient infrared blocking effect, small thermal accumulation temperature difference, and inability to adjust light transmittance.

[0023] The present application provides a thermally insulating adaptive coating, which comprises, by mass fraction, 6-9 parts of IWO@ATO core-shell particles, 3.5-5.5 parts of air-filled hollow glass microspheres, 1-3.5 parts of nano-silica sol, 0.2-0.4 parts of hydrophobic fumed silica, 1.5-2.5 parts of polysulfide rubber, 0.6-1 parts of methyl ethyl ketone peroxide, and the balance being hydrogenated epoxy resin.

[0024] Among them, IWO@ATO core-shell particles, air-filled hollow glass microspheres, nano-silica sol, hydrophobic fumed silica, and hydrogenated epoxy resin are the basic formula, and polysulfide rubber and methyl ethyl ketone peroxide are special formulas. Among them, polysulfide rubber is a special formula for metal roofs, and methyl ethyl ketone peroxide is a special formula for curing in shadow areas.

[0025] Specifically, IWO@ATO core-shell particles are used for infrared blocking, achieving an infrared blocking rate of ≥95% for a wavelength of 2500nm, which is the key to the coating's efficient infrared radiation blocking. Air-filled hollow glass microspheres are used for thermal insulation, forming an insulating layer through air filling, making the coating's thermal conductivity ≤0.083W / (m・K), significantly improving its thermal insulation performance. Nano-silica sol is used for solar reflection, with a reflectance of ≥89%. Hydrophobic fumed silica is used for anti-settling, with a specific surface area of ​​150±15m² / g (determined by the BET method). It can build a thixotropic network, making the coating's sedimentation rate ≤0.15mm / h, effectively preventing component sedimentation and ensuring coating stability. Hydrogenated epoxy resin is used as a film-forming matrix, with excellent weather resistance, and after 3000h According to QUV testing, the color difference ΔE is less than 2, providing stable film-forming support and durability for the coating. Polysulfide rubber is used for stress buffering of metal roofs, with a number-average molecular weight Mn=3500±500, which can play a stress buffering role and help metal roofs achieve a thermal cumulative temperature difference of ≥14°C. Methyl ethyl ketone peroxide is used for catalytic curing in shadow areas. At 25°C, the actual drying time of the coating can be reduced to ≤35 minutes, ensuring the curing effect of construction in shadow areas.

[0026] It can be understood that the embodiment of the present application provides a thermal insulation adaptive coating. In the basic formula, IWO@ATO core-shell particles, air-filled hollow glass microspheres, and nano-silica sol work synergistically to achieve an infrared blocking rate of ≥95%, a thermal conductivity of ≤0.083W / (m・K), and a solar reflectance of ≥89%, respectively, to construct an efficient thermal insulation system; hydrophobic fumed silica ensures the stability of the coating, and hydrogenated epoxy resin provides durable film-forming support; for special scenarios such as metal roofs and shadow areas, specially formulated polysulfide rubber achieves a thermal cumulative temperature difference of ≥14°C through stress buffering, and methyl ethyl ketone peroxide ensures drying in ≤35 minutes at 25°C, which not only meets the adaptability of multiple substrates and efficient thermal insulation requirements, but also takes into account construction convenience and long-term durability, significantly improving the applicability and effectiveness of the coating in scenarios such as building energy-saving renovation and historical building protection.

[0027] In the embodiment of the present application, the core layer of the IWO@ATO core-shell particles The tungsten doping amount is 5.0±0.3at%, and the wall thickness of the air-filled hollow glass microspheres is 0.30±0.05μm.

[0028] It should be noted that the core layer of IWO@ATO core-shell particles The tungsten doping level is precisely controlled at 5.0±0.3at%. This ratio optimizes the core layer's absorption capacity for 2500nm infrared light and is the key to achieving an infrared rejection rate of ≥95%. Furthermore, combined with particle gradient distribution technology, a centrifugal spraying process at 3000±50rpm ensures a significantly higher concentration of core-shell particles on the coating surface than in the underlying layer. This gradient distribution reduces visible light scattering losses within the coating, increasing light transmittance by 5-8%. This ensures high infrared rejection while also optimizing light transmission performance.

[0029] The wall thickness of the air-filled hollow glass microspheres is strictly controlled at 0.30±0.05μm, ensuring that the microspheres have sufficient structural strength to withstand the pressure during construction processes such as centrifugal spraying, while forming a highly efficient insulation cavity by sealing the air inside.

[0030] It is understood that the embodiment of the present application controls the tungsten doping amount of the core layer of the IWO@ATO core-shell particles to 5.0±0.3at%. This precise ratio can optimize the core layer. The crystal structure and energy level distribution ensure that the blocking rate of infrared light with a wavelength of 2500nm is ≥95%, providing key support for the core thermal insulation performance of the coating; the wall thickness of the air-filled hollow glass microspheres is controlled at 0.30±0.05μm, which not only ensures the structural strength of the microspheres to withstand construction pressure, but also forms a highly efficient thermal insulation cavity through the internal sealed air, making the thermal conductivity coefficient of the coating ≤0.083W / (m・K). The two synergistically enhance the infrared blocking and thermal insulation performance of the coating, laying the foundation for achieving excellent effects such as a heat accumulation temperature difference of more than 14℃ on metal roofs and an operating temperature of BIPV components ≤45℃.

[0031] In the embodiment of the present application, the calculation formula for the hydrogenated epoxy resin residue is:

[0032] Wherein, F is the percentage of hydrogenated epoxy resin by mass; is the percentage of the mass of IWO@ATO core-shell particles; is the percentage of the mass of the air-filled hollow glass microspheres; C is the percentage of the mass of the nano-silica sol; D is the percentage of the mass of the hydrophobic fumed silica; is the percentage of polysulfide rubber by mass. Polysulfide rubber is a special additive for metal roofs. For non-metal roofs, is 0; is the percentage of methyl ethyl ketone peroxide by mass. Methyl ethyl ketone peroxide is a special additive for curing shadow areas. The curing time for non-shadow areas is is 0.

[0033] For example, in a certain basic formula, the IWO@ATO core-shell particles are 41.0 kg (accounting for 8.2%), the air-filled hollow glass microspheres are 22.5 kg (accounting for 4.5%), the nano-silica sol (30% solid content) is added 50.0 kg, the hydrophobic fumed silica is 1.5 kg (accounting for 0.3%), and the hydrogenated epoxy resin is 385.0 kg (accounting for 77.0%). The total mass of all components is 500 kg, which is suitable for conventional construction scenarios in non-metal roofs and non-shadow areas.

[0034] In the formula used for metal roofing, the total mass of each component is 500kg. If 12.5kg (2.5%) of polysulfide rubber is added to the basic formula components, the remaining amount of hydrogenated epoxy resin is 385.0kg-12.5kg=372.5kg (74.5%), that is, the hydrogenated epoxy resin accounts for 74.5% of the formula. The stress buffering effect of polysulfide rubber can increase the thermal accumulation temperature difference of the metal roof.

[0035] In the formula used for construction scenarios in shadow areas, the total mass of each component is 500kg. If 5kg (1.0%) of methyl ethyl ketone peroxide is added to the basic formula, the remaining amount of hydrogenated epoxy resin is 385.0kg-5.0kg=380.0kg (76.0%), that is, the hydrogenated epoxy resin accounts for 76.0% of the formula, and the catalytic effect of methyl ethyl ketone peroxide can ensure rapid curing of the paint in the shadow area.

[0036] In the embodiment of the present application, when applied to building integrated photovoltaics (BIPV), the heat-insulating adaptive coating is applied to the photovoltaic glass back panel, which can make the operating temperature of the component ≤45°C and the annual attenuation rate of the photoelectric conversion efficiency ≤2.5%.

[0037] Specifically, when applied to photovoltaic glass backsheets, the coating, leveraging the gradient distribution of IWO@ATO core-shell particles, preferentially blocks infrared radiation with a wavelength of 2500nm (blocking rate ≥95%). Simultaneously, the air-filled insulating cavity formed by the hollow glass microspheres keeps the coating's thermal conductivity at ≤0.083W / (m·K). These dual effects significantly reduce the amount of ambient heat absorbed by photovoltaic modules. Key parameter comparisons with traditional coatings are shown below:

[0038] It should be noted that the embodiment of the present application applies the heat-insulating adaptive coating to the BIPV photovoltaic glass backplane, which can stably control the operating temperature of the component at ≤45°C through efficient infrared blocking and thermal insulation, avoiding battery performance degradation caused by high temperature. At the same time, it ensures efficient use of sunlight by precise transmittance control, so that the annual attenuation rate of photoelectric conversion efficiency is ≤2.5%, which is about 40% less than the attenuation loss of traditional components. It not only improves the stability and life of power generation, but also adapts to the dual needs of BIPV for architectural aesthetics and energy efficiency, significantly reduces the cost per kilowatt-hour, and provides core performance support for the large-scale application of photovoltaic building integration.

[0039] Specifically, Figure 1 A schematic flow chart of a method for constructing a thermally insulating adaptive coating according to an embodiment of the present application.

[0040] like Figure 1 As shown, the thermal insulation adaptive coating construction method includes the following steps: In step S101 , the substrate type is identified and key parameters are determined according to the substrate type.

[0041] Among them, the centralized procurement type is identified through the ResNet-50 substrate recognition model.

[0042] Specifically, the surface image of the substrate is collected by a high-definition camera and input into the ResNet-50 substrate recognition model. The model extracts texture, color and other features through the convolutional layer, and outputs the substrate type after the feature expression is enhanced by the residual block.

[0043] The key parameters include substrate constant, roughness compensation coefficient, substrate surface roughness, and porosity.

[0044] For example, the substrate constant of metal is 63, and the substrate constant of concrete is 67. The roughness compensation coefficient of the real stone paint surface is 0.15, the roughness compensation coefficient of the metal substrate is 0.15, and the roughness compensation coefficient of the concrete substrate is 0.08.

[0045] It should be noted that the surface conditions, such as roughness and porosity, of different substrates (e.g., metal roofs, concrete walls, historic limestone, and terracotta tiles) vary significantly. Failure to identify the substrate type and applying a single process can result in paint peeling, insulation failure, or substrate damage.

[0046] The ResNet-50 substrate recognition model, based on a deep residual network architecture, provides fast and accurate recognition for various building substrates. Comprising a 50-layer deep convolutional neural network, the ResNet-50 utilizes residual blocks to address the vanishing gradient problem in deep network training, effectively extracting subtle surface features. It boasts high recognition accuracy, strong generalization capabilities, and fast inference speed.

[0047] It can be understood that the embodiment of the present application identifies the substrate type through the ResNet-50 substrate recognition model, and then matches the corresponding substrate constant and roughness compensation coefficient, which not only avoids the error and lag of manual recognition, but also ensures the pertinence and accuracy of subsequent steps such as film thickness calculation and pretreatment process, and ultimately ensures the compatibility of the coating and the substrate, the transmittance control accuracy and thermal insulation performance, and improves construction efficiency and quality stability.

[0048] In step S102, the substrate is pretreated using an adapted process according to the substrate type. For metal roofs, sandblasting is first performed to remove surface rust and impurities, and then chromate oxidation treatment is performed. For porous substrates, the porosity is first measured, and then a silica sol solution is prepared according to the silica sol concentration formula, and the prepared silica sol solution is evenly applied to the substrate.

[0049] It's important to note that metal roofing (such as galvanized steel panels) is susceptible to rust, which can affect paint adhesion. Therefore, sandblasting is required to remove rust. This process uses compressed air to drive abrasives (such as quartz sand) to the metal surface, strictly adhering to the GB / T 8923.1 standard to achieve a Sa2.5 finish. This thoroughly removes surface rust, scale, and impurities, resulting in a uniform metallic luster and a certain degree of roughness, providing a good adhesion foundation for subsequent treatments. Immediately following sandblasting, a chemical oxidation treatment is performed. The metal substrate is immersed in a CrO3 solution with a concentration of 30.0±0.5g / L and electrolyzed at 12V DC for 180s to form a dense chromate conversion coating. This coating not only isolates the metal substrate from air and prevents secondary corrosion, but also significantly enhances the interfacial adhesion between the paint and the substrate, preventing subsequent coating shedding.

[0050] Porous substrates (such as concrete and historical building limestone) have a large number of pores inside, so targeted treatment is needed to enhance the surface density. First, the porosity of the substrate (unit %) is measured by mercury intrusion or image analysis to accurately quantify the pore distribution state and provide a data basis for the configuration of silica sol concentration. , according to the formula (C is the concentration of the silica sol solution) Calculate and prepare the silica sol solution with the appropriate concentration. For example, for a concrete substrate with a porosity of 20%, the corresponding silica sol concentration is 3.86-0.11×20=1.66%. After the preparation is completed, use a high-pressure airless spraying process to evenly spray the silica sol along the pores into the interior of the substrate. The penetration depth follows d=28.3 The law is shown in Figure 2, where d is the penetration depth in μm and t is the penetration time in min. Finally, a siloxane network is formed on the surface of the substrate and in shallow pores, filling the pores and enhancing the surface strength, thus avoiding blistering and cracking of the coating caused by water absorption in the pores.

[0051] It is understandable that the embodiments of the present application are customized based on the characteristics of the substrate, pre-treating the substrate and precisely controlling parameters (such as sandblasting level, chromate concentration, and silica sol concentration) to lay a stable foundation for subsequent coating construction and ensure the long-term compatibility of the coating with the substrate and the effective performance of thermal insulation properties.

[0052] In step S103, the required dry film thickness is calculated according to the dynamic film thickness formula, the wet film thickness is configured according to the required dry film thickness and solid content, and the paint is evenly sprayed using a real-time spray control device.

[0053] Specifically, the dynamic film thickness formula is:

[0054] Where H is the required dry film thickness; is the optical constant of the corresponding substrate; is the target light transmittance, which can be adjusted from 50% to 80%; is the roughness compensation coefficient of the corresponding substrate; is the surface roughness of the corresponding substrate; According to the substrate identification results, the corresponding substrate constant and roughness compensation coefficient are called, combined with the target transmittance, and the required dry film thickness is calculated using the dynamic film thickness formula. According to the solid content of the coating, the calculated dry film thickness is converted into wet film thickness. The formula is: Wet film thickness = dry film thickness ÷ solid content For example, the optical constants of metal roofing =63, roughness compensation coefficient =0.15, target transmittance is 65%, roughness =18.5μm, then the dry film thickness H= =63-0.3×65+0.15×18.5=43.5μm. If the solid content is 50%, the wet film thickness must be controlled to 43.5÷50%=87μm (with an allowable deviation of ±5μm) to ensure that the dry film thickness after curing meets the standard.

[0055] It can be understood that the embodiment of the present application calculates the dry film thickness through a dynamic film thickness formula, and can accurately determine the coating thickness based on the substrate type (such as metal, concrete), target transmittance and surface roughness, and convert the wet film thickness into wet film thickness based on the solid content. Then, closed-loop control is achieved through real-time spray control equipment to ensure the uniformity of the wet film thickness. The error of the dry film thickness after curing is ≤±1.0%, which not only meets the precise control requirements of 50-80% transmittance, but also ensures that the core properties of the coating on different substrates, such as infrared blocking ≥95% and thermal conductivity ≤0.083W / (m・K), are uniform and stable, avoiding local insulation failure caused by uneven thickness, while improving construction efficiency and quality consistency, and adapting to the needs of multiple scenarios such as metal roofs and historical buildings.

[0056] In an embodiment of the present application, the real-time spray control device includes: a laser thickness sensor, an embedded processor, and a robotic arm execution unit, wherein the laser thickness sensor is used for closed-loop feedback of film thickness data; the embedded processor is used to run the ResNet-50 substrate recognition model and the film thickness calculation engine to obtain the required dry film thickness; the robotic arm execution unit is used to control the nozzle according to the required dry film thickness for spraying.

[0057] The laser thickness sensor serves as the sensor for film thickness monitoring. Utilizing a 650nm wavelength semiconductor laser, it offers a measurement accuracy of ±1μm and a sampling frequency of 10kHz, enabling real-time capture of wet film thickness data during the spraying process. Its non-contact measurement method avoids disturbing the uncured coating and is resistant to ambient light interference, ensuring stable operation in both bright sunlight and shadowed environments. The measured data is converted by an A / D converter and transmitted in real time to an embedded processor using the 485 bus protocol.

[0058] The embedded processor, serving as the device's computing core, utilizes a quad-core ARM Cortex-A53 architecture and an integrated neural network acceleration unit, efficiently running the ResNet-50 substrate recognition model and film thickness calculation engine. It receives substrate images captured by a high-definition camera, outputs the substrate type using the ResNet-50 model, and automatically calls the corresponding substrate constants and roughness compensation coefficients. Furthermore, combining substrate surface roughness data from a laser thickness sensor with a preset target transmittance, it calculates the required dry film thickness using a dynamic film thickness formula. This is converted to a wet film thickness threshold based on the coating solids content, and the threshold command is then sent to the robotic arm's actuator.

[0059] The robotic arm execution unit serves as the execution terminal, employing a six-axis industrial robotic arm equipped with an automatic spray gun at the end. Its caliber is electrically adjustable within a range of 1.0-2.0mm. After receiving wet film thickness instructions from the embedded processor, it dynamically controls three core parameters: spray gun air pressure (adjustable range 0.2-0.4MPa, accuracy ±0.01MPa), movement speed (0.5-2.0m / s, stepping 0.1m / s), and spray flow rate (50-200ml / min, precisely controlled by a solenoid valve). For example, if the laser thickness sensor indicates that the wet film thickness is below a threshold, the processor instructs the robotic arm to reduce movement speed or increase spray flow rate. Otherwise, it instructs the arm to increase speed or reduce flow rate, ensuring that the coating thickness error per square centimeter is controlled within ±1.5μm.

[0060] It can be understood that the three major components of the real-time spraying control device are coordinated by the embodiments of the application. The laser thickness measurement sensor provides real-time feedback of the wet film data, providing accurate basis for closed-loop control. The embedded processor efficiently runs the model and the calculation engine, quickly outputs the dry film thickness suitable for the substrate, and ensures parameter matching. The mechanical arm execution unit dynamically adjusts the nozzle parameters according to the instructions to ensure that the coating thickness error is ≤±1.5 μm. The linkage of the three not only realizes the differentiated adaptation of multiple substrates, but also guarantees the uniformity of the coating thickness, greatly improves the construction quality stability and efficiency, and meets the needs of multiple scenarios for thermal insulation.

[0061] In the embodiments of the application, the dynamic film thickness formula is:

[0062] H is the required dry film thickness; is the optical constant corresponding to the substrate; is the target light transmittance, and the adjustable range is 50-80%; is the roughness compensation coefficient corresponding to the substrate; is the surface roughness corresponding to the substrate; The silica sol concentration formula is:

[0063] C is the silica sol concentration; is the porosity percentage.

[0064] In step S104, the curing method is selected according to the construction environment.

[0065] Specifically, in the direct sunlight area, natural curing is adopted, and the drying time can be less than or equal to 5 minutes. In the shadow area, chemical catalytic curing is adopted, which can release free radicals at 25°C, accelerate the crosslinking of epoxy resin and polysulfide rubber, and ensure that the drying time is less than or equal to 35 min.

[0066] It can be understood that the embodiments of the application select the curing method according to the construction environment, which not only conforms to the natural conditions of different light environments, but also ensures the curing efficiency and quality stability through targeted technical means, avoids the problem of dust adhesion caused by slow curing in the direct sunlight area or the problem of soft coating surface caused by insufficient curing in the shadow area, and ensures that the coating after curing in both environments can meet the performance standards, taking into account the construction efficiency and long-term reliability of the coating.

[0067] A kind of thermal insulation self-adaptive coating construction method will be described below, as follows: The coating construction is carried out on the color steel plate roof, wherein the thickness of the aluminum-zinc plated color steel plate is 0.7 mm, the wave height is 35 mm, and the surface state is slightly rusted.

[0068] Before construction, a high-definition camera captured images of the roof surface and fed them into the ResNet-50 substrate recognition model. The model used convolutional layers to extract features such as the galvanized texture and metallic sheen of the color-coated steel sheet. After enhancing the feature representation with residual blocks, the model accurately identified the substrate type as "metal roof (aluminum-zinc color-coated steel sheet)." Simultaneously, a laser profilometer was used to measure key parameters: surface roughness. =18.5μm, porosity ≈0 (the metal substrate has no significant pores), and the metal substrate-specific parameter - substrate constant is called =63, roughness compensation coefficient =0.15, providing data support for subsequent processes.

[0069] Given the rust-prone nature of color-coated steel sheets and the need for enhanced adhesion, a pretreatment process specifically tailored for metal roofing is employed: sandblasting is first performed to remove rust. Quartz sand with a particle size of 0.5-1.0mm is used, driven by 0.6MPa compressed air, to achieve a surface finish of Sa2.5, as specified in the GB / T 8923.1 standard. This thoroughly removes surface scale, rust, and oil stains, resulting in a uniform metallic matte finish with a roughness maintained at 15-20μm. Within one hour of sandblasting, the color-coated steel sheets are immersed in an oxidizing solution with a CrO3 concentration of 30.0±0.5g / L. Electrolysis is then applied at a 12V DC voltage for 180s, forming a dense chromate conversion coating 2-3μm thick on the surface, isolating the metal substrate from air.

[0070] According to the target light transmittance (the metal roof focuses on thermal insulation, and the light transmittance is set to 65%), the required dry film thickness is calculated using the dynamic film thickness formula. , with an allowable error of ±1.5μm. The solid content of the coating is 50%, so the wet film thickness needs to be controlled as follows: wet film thickness = dry film thickness ÷ solid content = 43.5μm ÷ 50% = 87μm, with an allowable deviation of ±5μm.

[0071] A special formula specifically formulated for metal roofing was used, with a total mass of 500kg of components: 41.0kg (8.2%) of IWO@ATO core-shell particles, 22.5kg (4.5%) of air-filled hollow glass microspheres, 50.0kg of nano-silica sol (30% solids), 1.5kg (0.3%) of hydrophobic fumed silica, 12.5kg (2.5%) of polysulfide rubber, and 372.5kg (74.5%) of hydrogenated epoxy resin. The real-time spray control device was activated, and the robotic arm adjusted the spray gun parameters (caliber 1.8mm, air pressure 0.28MPa, travel speed 1.2m / s) based on the wet film thickness command. A laser thickness sensor monitored the wet film thickness in real time, feeding data back to an embedded processor. A PID algorithm dynamically adjusted the travel speed to ensure a stable wet film thickness of 87±5μm across the entire roof.

[0072] It cures naturally in direct sunlight at 32°C. Due to the strong thermal conductivity of the color-coated steel plate, the cross-linking reaction of the hydrogenated epoxy resin in the coating is accelerated. The actual drying time is 4 minutes, and there is no sag or bubble on the surface.

[0073] The coating was tested for performance and the results are shown below:

[0074] In summary, the embodiment of the present application is applied to the construction of color steel plate roofs. The ResNet-50 model is used to accurately identify the substrate and match the parameters. The coating adhesion is enhanced by combining sandblasting for rust removal and chromate oxidation pretreatment. The dynamic film thickness formula is calculated and precise film thickness control is achieved through real-time spraying control equipment. Natural or chemical catalytic curing is selected in accordance with the lighting environment. This not only ensures the efficient thermal insulation performance of the coating with an infrared blocking rate of ≥95% and a thermal cumulative temperature difference of 14.2°C, but also improves the weather resistance of the metal roof through the addition of polysulfide rubber and targeted pretreatment. At the same time, the entire construction process is automated, which greatly reduces manual errors, making the coating thickness uniformity and actual drying efficiency better than traditional processes, and fully meeting the thermal insulation, durability and construction convenience requirements of the color steel plate roof.

[0075] In the embodiment of the present application, when applied to historical buildings, it includes: Use microparticle blasting technology to clean building surfaces, which must comply with the T / CECS 1018-2022 standard specification; After the surface is clean and dry, apply nano lime reinforcement, which includes: The concentration must be controlled within the range of 8.0±0.5%; Silicone acrylic emulsion is selected as the covering material for covering treatment, and the glass transition temperature of the silicone acrylic emulsion needs to be within the range of 25±2℃.

[0076] The microparticle blasting process is a core step in the surface pretreatment of historic buildings, designed to remove surface pollutants such as dust, mold, and soot while minimizing damage to the structure itself. Calcite microparticles with a particle size of 50-100μm (hardness ≤ 3Mohs to avoid scratching the stone) are used. A low-pressure blasting system (operating pressure 0.15-0.3MPa) achieves non-contact cleaning. The spray angle is controlled at 45°±5°, held 20-30cm from the building surface, ensuring that the impact force is concentrated on the pollutants without damaging the surface. According to the T / CECS 1018-2022 standard, the depth of damage to the building surface after cleaning is ≤50μm, with no risk of peeling off decorative patterns such as brick and stone carvings, preserving the original building's historical texture and sense of time.

[0077] After the pre-treated building surface is naturally dry, it is necessary to apply nano-lime reinforcement to form a deep-penetrating reinforcement layer to enhance the weathering resistance of the surface of the historical building. The reinforcement concentration is strictly limited to 8.0±0.5% ( Concentration (measured in nanoparticles), verified through numerous tests: too low a concentration results in insufficient reinforcement, while too high a concentration can easily lead to a whitening of the surface. Nanoparticles, with a particle size of ≤100nm, can penetrate 3-5mm deep into the substrate (limestone substrate) through capillary action, reacting with the silica in the substrate to form calcium silicate hydrate, thereby enhancing surface density. Application is done manually with a wool brush in two applications, 24 hours apart. Each application should be controlled at 100-150g / m2 to ensure uniform penetration without liquid accumulation. After reinforcement, the compressive strength of the substrate surface increases by 30-50%, while maintaining its original breathability, preventing internal damage caused by dampness.

[0078] Finally, a silicone-acrylic emulsion was selected as the topcoat, creating a transparent protective coating that balances waterproofing, weather resistance, and aesthetic compatibility. This is a crucial finishing step in preserving the historic building's appearance. The silicone-acrylic emulsion's glass transition temperature must be strictly controlled within 25±2°C. This range ensures the coating neither becomes brittle (at low temperatures) nor softens (at high temperatures) in temperatures between -10°C and 40°C, adapting to the climatic fluctuations of most regions. Airless spraying (0.2 MPa pressure) was used, with two coats applied 12 hours apart, to ensure a continuous, pinhole-free coating. The resulting topcoat resists rain erosion while allowing moisture vapor from the substrate to escape, achieving a "waterproof but airtight" protective effect.

[0079] For example, in the restoration of a certain historical building, the limestone wall is first cleaned using a microparticle spraying process that complies with the T / CECS 1018-2022 standard to ensure that the damage depth is ≤50μm; after the surface is dry, a nano-lime hardener with a concentration of 8.0±0.5% is applied, and it is manually applied twice to penetrate 3-5mm to enhance the surface strength; finally, a silicone acrylic emulsion with a glass transition temperature of 25±2℃ is used for topcoat treatment, and two coats are sprayed to form a 5-8μm transparent film, which not only retains the original appearance of the building (color difference ΔE<1.0), but also improves the weathering resistance through reinforcement and protection, achieving the unity of "restoring the old as it is" and structural protection.

[0080] It can be understood that the embodiment of the present application uses a microparticle spraying process to accurately remove surface pollutants with low-pressure microparticles, avoiding the wear of fragile decorations such as brick carvings and stone carvings by traditional high-pressure cleaning, ensuring the complete preservation of historical texture, and the control standard of damage depth ≤50μm eliminates structural damage to the building itself; the nano-lime reinforcement agent with a concentration of 8.0±0.5% is extremely compatible with the substrate components, and the calcium silicate hydrate reinforcement layer formed by infiltration not only enhances the surface's resistance to weathering, but also does not change the original air permeability of the substrate, thereby avoiding internal mildew; and the transparent film formed by the silicone acrylic emulsion overlay (color difference ΔE<1.0) is almost invisible, which not only resists rain erosion, but also does not cover up the traces of time of historical buildings (such as the mottled color of blue bricks and the natural texture of wood). Ultimately, the restored building has both the "vitality" to resist natural erosion and the complete carrying of historical and cultural information.

[0081] According to the application examples, a thermally insulating adaptive coating construction method proposed in this application utilizes a triple insulation synergistic mechanism formed by IWO@ATO core-shell particles, air microspheres, and nano-silica sol to achieve an infrared rejection rate of ≥95%, a solar reflectance of ≥89%, and a thermal conductivity of ≤0.083W / (m・K). This method can generate a thermal accumulation temperature difference of greater than 14°C on metal roofs, a 226.7% improvement over traditional technologies. Through precise film thickness control and particle concentration gradient technology, the coating achieves continuously adjustable transmittance from 50-80%, preserving the original building texture and color. The coating is adaptable to a variety of substrates, achieving full-substrate adaptive insulation. The material cost is reduced to 23.5 yuan / ㎡, combining excellent thermal insulation performance, wide substrate compatibility, protection for historical buildings, and cost advantages, making it suitable for energy-saving renovations in multiple building scenarios. This method solves the problems of existing coatings, such as insufficient infrared blocking effect, small thermal accumulation temperature difference, and inability to adjust transmittance.

[0082] Next, a spraying system using heat-insulating adaptive coatings according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0083] Figure 2 It is a structural schematic diagram of a spraying system using thermal insulation adaptive coating according to an embodiment of the present application.

[0084] like Figure 2 As shown, the spraying system 10 using thermal insulation adaptive coating includes: a substrate recognition module 100, a substrate pretreatment module 200, a film thickness calculation and control module 300, a robotic arm execution module 400, and a laser thickness measurement feedback module 500.

[0085] Among them, the substrate recognition module 100 is used to carry the ResNet-50 substrate recognition model to identify the type of substrate to be constructed, obtain the substrate recognition results, and collect the key parameter data of the substrate through the laser profiler. The key parameter data of the substrate include the optical constants of the substrate, the surface roughness of the substrate, and the porosity; the substrate pretreatment module 200 is used to adopt an adaptation process to pre-treat the substrate according to different substrate characteristics; the film thickness calculation and control module 300 is used to calculate the required dry film thickness based on the substrate recognition results and the key parameter data of the substrate combined with the target transmittance, and transmit the data to the robotic arm execution module; the robotic arm execution module 400 is used to adjust the nozzle parameters according to the required dry film thickness to realize the spraying of the paint, and ensure that the wet film thickness meets the dry film thickness requirements after conversion according to the solid content. Among them, the nozzle parameters include the spray gun caliber, air pressure, and travel speed; the laser thickness measurement feedback module 500 is used to monitor the wet film thickness during the spraying process in real time based on the laser thickness measurement sensor, and feed the data back to the film thickness calculation and control module.

[0086] It can be understood that the embodiment of the present application achieves an infrared rejection rate of ≥95%, a solar reflectance of ≥89%, and a thermal conductivity of ≤0.083W / (m・K) through the triple insulation synergistic mechanism formed by IWO@ATO core-shell particles, air microspheres, and nano-silica sol. It can produce a heat accumulation temperature difference of more than 14°C on the metal roof, an improvement of 226.7% over traditional technologies. Through precise control of film thickness and particle concentration gradient technology, the transmittance can be continuously adjusted from 50-80%, preserving the original building texture and color. It can be adapted to multiple types of substrates to achieve full-substrate adaptive insulation. The large-scale material cost is reduced to 23.5 yuan / ㎡. It combines excellent thermal insulation performance, wide substrate adaptability, protection for historical buildings, and cost advantages, making it suitable for energy-saving renovation of buildings in multiple scenarios. This solves the problems of existing coatings such as insufficient infrared blocking effect, small heat accumulation temperature difference, and inability to adjust transmittance.

[0087] It should be noted that the above explanation of an embodiment of a thermal insulation adaptive coating construction method is also applicable to a spraying system using a thermal insulation adaptive coating in this embodiment, and will not be repeated here.

[0088] According to the embodiment of the present application, a spraying system using a heat-insulating adaptive coating is proposed. Through the triple insulation synergistic mechanism formed by IWO@ATO core-shell particles, air microspheres, and nano-silica sol, it achieves an infrared rejection rate of ≥95%, a solar reflectance of ≥89%, and a thermal conductivity of ≤0.083W / (m・K). It can produce a heat accumulation temperature difference of more than 14°C on the metal roof, an improvement of 226.7% compared to traditional technologies. Through precise film thickness control and particle concentration gradient technology, the transmittance can be continuously adjusted from 50-80%, preserving the original building texture and color. It can be adapted to multiple types of substrates to achieve full-substrate adaptive insulation. The power loss of BIPV modules is reduced by 72%, while the scaled material cost is reduced to 23.5 yuan / ㎡. It combines excellent thermal insulation performance, wide substrate compatibility, protection for historical buildings, and cost advantages, making it suitable for energy-saving renovation of buildings in multiple scenarios. This solves the problems of existing coatings such as insufficient infrared blocking effect, small heat accumulation temperature difference, and inability to adjust transmittance.

[0089] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0090] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0091] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0092] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0093] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

Claims

1. A thermal insulation adaptive coating, characterized in that: Calculated by mass, the composition comprises 6-9 parts of IWO@ATO core-shell particles, 3.5-5.5 parts of air-filled hollow glass microspheres, 1-3.5 parts of nano-silica sol, 0.2-0.4 parts of hydrophobic fumed silica, 1.5-2.5 parts of polysulfide rubber, 0.6-1 parts of methyl ethyl ketone peroxide, and the balance being hydrogenated epoxy resin.

2. A thermal insulation adaptive coating according to claim 1, characterized in that: The core layer of the IWO@ATO core-shell particles The tungsten doping amount is 5.0±0.3at%, and the wall thickness of the air-filled hollow glass microspheres is 0.30±0.05μm.

3. The thermal insulation adaptive coating according to claim 1, characterized in that: The calculation formula for the hydrogenated epoxy resin remainder is: Wherein, F is the percentage of hydrogenated epoxy resin by mass; is the percentage of the mass of IWO@ATO core-shell particles; is the percentage of the mass of the air-filled hollow glass microspheres; C is the percentage of the mass of the nano-silica sol; D is the percentage of the mass of the hydrophobic fumed silica; is the percentage of polysulfide rubber by mass. Polysulfide rubber is a special additive for metal roofs. For non-metal roofs, is 0; is the percentage of methyl ethyl ketone peroxide by mass. Methyl ethyl ketone peroxide is a special additive for curing shadow areas. The curing time for non-shadow areas is is 0.

4. The thermal insulation adaptive coating according to claim 1, characterized in that: When applied to building-integrated photovoltaic (BIPV), the heat-insulating adaptive coating is applied to the photovoltaic glass backboard, which can make the component operating temperature ≤45°C and the annual attenuation rate of photoelectric conversion efficiency ≤2.5%.

5. A method for applying a heat-insulating adaptive coating, characterized in that: The following steps are involved: Identifying substrate type and determining key parameters based on the substrate type; The substrate is pretreated using an adapted process according to the substrate type. For metal roofing, sandblasting is first performed to remove surface rust and impurities, followed by chromate oxidation treatment. For porous substrates, the porosity is first measured, and then a silica sol solution is prepared according to the silica sol concentration formula, and the prepared silica sol solution is evenly applied to the substrate. Calculate the required dry film thickness according to the dynamic film thickness formula, configure the wet film thickness according to the required dry film thickness and solid content, and use real-time spray control equipment to spray the paint evenly; Select the appropriate curing method according to the construction environment.

6. A thermal insulation adaptive coating construction method according to claim 5, characterized in that: The real-time spray control device includes: a laser thickness sensor, an embedded processor, and a robotic arm execution unit, wherein the laser thickness sensor is used to provide closed-loop feedback of film thickness data; the embedded processor is used to run the ResNet-50 substrate recognition model and the film thickness calculation engine to obtain the required dry film thickness; and the robotic arm execution unit is used to control the nozzle according to the required dry film thickness for spraying.

7. A thermal insulation adaptive coating construction method according to claim 5, characterized in that: The dynamic film thickness formula is: Where H is the required dry film thickness; is the optical constant of the corresponding substrate; is the target light transmittance, which can be adjusted from 50% to 80%; is the roughness compensation coefficient of the corresponding substrate; is the surface roughness of the corresponding substrate; The silica sol concentration formula is: Wherein, C is the concentration of silica sol; is the porosity percentage.

8. The method for applying a thermally insulating adaptive coating according to claim 5, wherein: When applied to historic buildings, this includes: Use microparticle blasting technology to clean building surfaces, which must comply with the T / CECS 1018-2022 standard specification; After the surface is clean and dry, apply nano lime reinforcement, which includes: The concentration must be controlled within the range of 8.0±0.5%; A silicone acrylic emulsion is selected as the covering material for the covering treatment, and the glass transition temperature of the silicone acrylic emulsion needs to be within the range of 25±2°C.

9. A spraying system using a heat-insulating adaptive coating, characterized in that: include: Substrate identification module, substrate pretreatment module, film thickness calculation and control module, robotic arm execution module, laser thickness measurement feedback module, among which, The substrate recognition module is used to carry the ResNet-50 substrate recognition model to identify the type of substrate to be constructed, obtain substrate recognition results, and collect key parameter data of the substrate through a laser profilometer. The key parameter data of the substrate includes the optical constants of the substrate, the surface roughness of the substrate, and the porosity; The substrate pretreatment module is used to pretreat the substrate using an adaptive process according to different substrate characteristics; The film thickness calculation and control module is used to calculate the required dry film thickness based on the substrate identification result and the substrate key parameter data combined with the target transmittance, and transmit the data to the robotic arm execution module; The robotic arm execution module is used to control the nozzle parameters according to the required dry film thickness to realize the spraying of the coating, ensuring that the wet film thickness meets the dry film thickness requirements after conversion according to the solid content, wherein the nozzle parameters include the spray gun caliber, air pressure, and speed; The laser thickness measurement feedback module is used to monitor the wet film thickness during the spraying process in real time based on the laser thickness measurement sensor, and feed the data back to the film thickness calculation and control module.

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