Preparation method for increasing content of silicone rubber in common anti-pollution flashover coating

Abstract

The invention relates to the technical field of petrochemical and chemical new materials, in particular to a preparation method for increasing the content of silicon rubber in common anti-pollution flashover coating, the preparation method comprises the following steps: S1, pretreating blocky silicon rubber according to a silicon rubber pretreatment method to obtain dispersed silicon rubber particles, and performing pretreatment real-time monitoring on the pretreatment process; s2, acquiring formula materials of the common anti-pollution flashover coating to obtain the formula materials; s3, mixing the dispersed silicone rubber particles and the formula material to obtain a mixed coating, and monitoring the mixing process in real time; s4, performing defoaming treatment on the mixed coating to obtain a defoaming coating, and performing feedback monitoring on the defoaming coating; and S5, curing the defoamed coating to obtain the high-silicon rubber anti-pollution flashover coating, and monitoring the curing treatment in real time. The silicon rubber content in the anti-pollution flashover coating is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new petrochemical and chemical materials, and particularly to a preparation method for increasing the content of silicone rubber in ordinary anti-fouling and flashover coatings. Background Art

[0002] Silicone rubber has excellent hydrophobicity, weather resistance, chemical corrosion resistance, and electrical insulation properties. Adding silicone rubber to anti-fouling and flashover coatings can significantly improve the hydrophobic properties of the coatings, making the coating surface not easily wetted by water, thereby reducing the adhesion and accumulation of contaminants on the surface. At the same time, the high elasticity and flexibility of silicone rubber can adapt to the deformation of equipment such as insulators under different environmental conditions, ensuring the integrity and stability of the coating film. However, the content of silicone rubber in traditional ordinary anti-fouling and flashover coatings is relatively low, which to a certain extent limits the further improvement of coating performance. On the one hand, the relatively low content of silicone rubber may result in less than ideal hydrophobic properties of the coating. During long-term operation, the hydrophobicity is likely to decline, affecting the anti-fouling and flashover effect. On the other hand, insufficient silicone rubber content makes the mechanical strength and aging resistance of the coating limited, and it is difficult to withstand the long-term test under harsh environmental conditions such as high temperature, ultraviolet radiation, and chemical corrosion, thus shortening the service life of the coating.

[0003] Chinese Patent Publication No.: CN106280997B discloses an improved anti-fouling and flashover composite coating and its manufacturing method. Among them, the method includes: obtaining a coating composite for manufacturing the improved anti-fouling and flashover composite coating, where the coating composite includes fluorosilicone rubber, fumed silica, and an ablation-resistant composite; dissolving the coating composite with a solvent to obtain a solution; adding a leveling agent to the solution for pre-reaction to obtain a pre-reacted composite; and adding a vulcanizing agent to the pre-reacted composite to obtain the improved anti-fouling and flashover composite coating. However, this solution is difficult to increase the content of silicone rubber in the anti-fouling and flashover coating. Summary of the Invention

[0004] Therefore, the present invention provides a preparation method for increasing the content of silicone rubber in ordinary anti-fouling and flashover coatings to overcome the problem of relatively low content of silicone rubber in anti-fouling and flashover coatings in the prior art.

[0005] To achieve the above object, the present invention provides a preparation method for increasing the content of silicone rubber in ordinary anti-fouling and flashover coatings, and the preparation method includes:

[0006] Step S1, pretreating the massive silicone rubber according to the silicone rubber pretreatment method to obtain dispersed silicone rubber particles, and performing real-time monitoring on the pretreatment process;

[0007] Step S2, obtaining the formulation materials of the ordinary anti-fouling and flashover coating to obtain the formulation materials;

[0008] Step S3, mix the dispersed silicone rubber particles with the formulation materials to obtain a mixed coating, and monitor the mixing process in real time during the mixing process;

[0009] Step S4, defoam the mixed coating to obtain a defoamed coating, and monitor the defoamed coating by feedback;

[0010] Step S5, cure the defoamed coating to obtain a high-silicone rubber anti-fouling and anti-flashover coating, and monitor the curing process in real time.

[0011] Further, in step S1 when pretreating the massive silicone rubber, use a cutting tool to cut the massive silicone rubber to obtain silicone rubber particles, put the silicone rubber particles into toluene solution to obtain a material to be dispersed, use an ultrasonic cleaner to disperse the material to be dispersed to obtain a toluene silicone rubber particle liquid, add γ-methacryloxypropyltrimethoxysilane to the toluene silicone rubber particle liquid to obtain a dispersion liquid, perform a constant temperature water bath treatment on the dispersion liquid, and perform a first stirring treatment during the constant temperature water bath treatment to obtain a stirred liquid, add ethanol to the stirred liquid, perform a washing treatment on the stirred liquid to obtain a washing liquid, filter the washing liquid to obtain filtered particles, place the filtered particles in a vacuum drying oven for drying treatment until the filtered particles reach a constant weight to obtain dried silicone rubber particles. Set the mass of the massive silicone rubber as Mk, the mass of γ-methacryloxypropyltrimethoxysilane as Mw, the temperature of the constant temperature water bath treatment as Th, the stirring speed of the first stirring treatment as Vj, the stirring time of the first stirring treatment as tj, and the drying temperature of the drying treatment as Tg, where:

[0012] 0.01Mk ≤ Mw ≤ 0.05Mk;

[0013] Th = 60°C;

[0014] Vj = 200 r / min;

[0015] tj = 2 h;

[0016] Tg = 80°C.

[0017] Further, when step S1 monitors the pretreatment process in real time during the pretreatment, obtain the ultrasonic dispersion time B in real time, set the preset ultrasonic dispersion time as B0, compare the ultrasonic dispersion time B with the preset ultrasonic dispersion time B0, judge whether the ultrasonic dispersion time B meets the standard according to the comparison result, and control the dispersion process according to the judgment result, where:

[0018] When B < B0, it is determined that the ultrasonic dispersion time B does not meet the preset ultrasonic dispersion time B0, the ultrasonic dispersion time B does not meet the standard, control the dispersion process, and continue the dispersion process;

[0019] When B ≥ B0, it is determined that the ultrasonic dispersion time B reaches the preset ultrasonic dispersion time B0, the ultrasonic dispersion time B meets the standard, and the dispersion process is controlled to stop the dispersion process;

[0020] When the step S1 pre - processes and monitors the pre - treatment process in real - time, the average particle size A of silicone rubber particles is also obtained in real - time through a laser particle size analyzer, obtaining the average particle size A of silicone rubber particles. The preset average particle size of silicone rubber particles is set as A0. The average particle size A of silicone rubber particles is compared with the preset average particle size A0 of silicone rubber particles. According to the comparison result, it is judged whether the average particle size A of silicone rubber particles meets the standard, and the dispersion process is adjusted according to the judgment result, where:

[0021] When A ≤ A0, it is determined that the average particle size A of silicone rubber particles reaches the preset average particle size A0 of silicone rubber particles, the average particle size A of silicone rubber particles meets the standard, and the dispersion process is adjusted to stop the dispersion process;

[0022] When A > A0, it is determined that the average particle size A of silicone rubber particles does not reach the preset average particle size A0 of silicone rubber particles, the average particle size A of silicone rubber particles does not meet the standard, and the preset ultrasonic dispersion time B0 is adjusted. The adjusted preset ultrasonic dispersion time is set as B0`, is the adjustment coefficient,

[0023] Further, when the step S3 mixes the dried silicone rubber particles with the formulation materials of the ordinary anti - pollution flashover coating, the dried silicone rubber particles are subjected to surface activation treatment to obtain activated silicone rubber particles. The activated silicone rubber particles and the solvent are subjected to a second stirring treatment in a reaction kettle equipped with a stirring device to obtain a silicone rubber dispersion liquid. Nanometer - scale titanium dioxide and fumed silica are added to the silicone rubber dispersion liquid for a third stirring treatment to obtain a dispersion coating. The base material and filler are added to the dispersion coating for a fourth stirring treatment to obtain a mixed coating. Auxiliary additives are added to the mixed coating for a stirring reaction treatment to obtain a network coating. The network coating is naturally cooled until the temperature of the network coating drops to room temperature. The second stirring treatment speed is set as D2, the second stirring treatment time is set as t2, the third stirring treatment speed is set as D3, the third stirring treatment time is set as t3, the fourth stirring treatment speed is set as D4, the fourth stirring treatment time is set as t4, the stirring reaction treatment temperature is set as Qf, the stirring reaction treatment speed is set as Df, and the stirring reaction treatment time is set as tf, where:

[0024] D2 = 300r / min - 400r / min;

[0025] t2 = 30min;

[0026] D3 = D2 = 300r / min - 400r / min;

[0027] t3 = 60 min;

[0028] D4 = 600 r / min - 800 r / min;

[0029] t4 = 90 min;

[0030] Qf = 50 - 80 °C;

[0031] Df = D4 = 600 r / min - 800 r / min;

[0032] tf = 150 min.

[0033] Furthermore, when the step S3 monitors the mixing process in real time during the mixing process, the viscosity of the mixed coating is monitored in real time by a viscosity rotor sensor to obtain the viscosity Cn of the mixed coating. The lowest preset viscosity is set as C1, and the highest preset viscosity is set as C2. The viscosity Cn of the mixed coating is compared with the preset coating viscosity, and whether the viscosity Cn of the mixed coating in the second stirring process meets the standard is judged according to the comparison result, and the second stirring speed D2 is optimized according to the judgment result, where:

[0034] The preset coating viscosity is set to include the lowest preset viscosity C1 and the highest preset viscosity C2;

[0035] When C1 < Cn ≤ C2, it is determined that the viscosity Cn of the mixed coating reaches the preset coating viscosity, the viscosity Cn of the mixed coating meets the standard, and the speed D2 of the second stirring process is not optimized;

[0036] When Cn ≤ C1, it is determined that the viscosity Cn of the mixed coating is lower than the preset coating viscosity, the viscosity Cn of the mixed coating does not meet the standard, the speed D2 of the second stirring process is optimized, the speed D2 of the second stirring process is increased, and the optimized stirring speed is set as D`, D` = (1 + C / C0) × D2;

[0037] When Cn > C2, it is determined that the viscosity Cn of the mixed coating is higher than the preset coating viscosity, the viscosity Cn of the mixed coating does not meet the standard, the speed D2 of the second stirring process is optimized, the speed D2 of the second stirring process is decreased, and the optimized stirring process speed is set as D`, D` = D2 - 5.23 × (C0 - C) / C0;

[0038] When performing real-time monitoring of the mixing process in step S3, the degree of crosslinking of the silicone rubber in the mixing process is also obtained in real time by using a Fourier transform infrared spectrometer combined with an optical fiber probe, and a crosslinking degree value E is obtained. The lowest preset crosslinking degree value is set as E1, and the highest crosslinking degree value is set as E2. The crosslinking degree value E is compared with the preset crosslinking degree value, and it is judged whether the crosslinking degree value E meets the standard according to the comparison result, and the lowest preset viscosity C1 and the highest preset viscosity C2 are adjusted according to the judgment result, where:

[0039] The preset crosslinking degree value is set to include the lowest preset crosslinking degree value E1 and the highest preset crosslinking degree value E2;

[0040] When E1≤E≤E2, it is determined that the crosslinking degree value E reaches the preset crosslinking degree value, the crosslinking degree value E meets the standard, and the mixing process is not adjusted;

[0041] When E<E1, it is determined that the crosslinking degree value E is less than the minimum preset crosslinking degree value E1, the crosslinking degree value E does not meet the standard, and the mixing process is adjusted. The adjusted lowest preset viscosity is set as C1`, C1` = |α - 1|×Cn, where α is the temperature coefficient, α = 1.48 - 0.2×e -0.1×E and 1.28≤α≤1.48;

[0042] When E>E2, it is determined that the crosslinking degree value E is greater than the highest preset crosslinking degree value E2, the crosslinking degree value E does not meet the standard, and the mixing process is adjusted. The adjusted highest preset viscosity is set as C2`, C2` = α×Cn;

[0043] When performing real-time monitoring of the mixing process in step S3, the temperature of the mixing process is also monitored by a temperature sensor to obtain the mixing temperature F. The lowest preset mixing temperature is set as F1, and the highest preset mixing temperature is set as F2. The mixing temperature F is compared with the preset mixing temperature, and it is judged whether the mixing temperature F meets the standard according to the comparison result, and the lowest preset crosslinking degree value E1 and the preset highest crosslinking degree value E2 are optimized according to the judgment result, where:

[0044] The preset mixing temperature is set to include the lowest preset mixing temperature F1 and the highest preset mixing temperature F2;

[0045] When F1≤F≤F2, it is determined that the mixing temperature F reaches the preset mixing temperature, the mixing temperature F meets the standard, and the preset crosslinking degree value is not optimized;

[0046] When F<F1, it is judged that the mixing temperature F is lower than the lowest preset mixing temperature F1, the mixing temperature F does not meet the standard, and the lowest preset crosslinking value E1 is optimized. The adjusted lowest preset crosslinking value is set as E1`, E` = |β - 1|×E, where β is the temperature coefficient, β = 1.37 - 0.1×e-0.2×F and repeat the process of adjusting the lowest preset crosslinking value C1 and the highest preset crosslinking value C2 according to the adjusted lowest preset crosslinking value E1`;

[0047] When F > F2, it is determined that the mixing temperature F is higher than the highest preset mixing temperature, and the mixing temperature F does not meet the standard. Optimize the highest preset crosslinking value E2, set the adjusted highest preset crosslinking value as E2`, E2` = β × E, and repeat the process of adjusting the lowest preset viscosity C1 and the highest preset viscosity C2 according to the adjusted lowest preset crosslinking value E2`;

[0048] When the step S3 monitors the mixing process in real time, it also obtains the optimized stirring speed to get the optimized stirring speed D`. Set the lowest preset stirring speed as D1` and the highest preset stirring speed as D2`. Compare the optimized stirring speed with the preset stirring speed, and determine whether the optimized stirring speed D` meets the standard according to the comparison result. Then determine whether it is necessary to adjust and improve the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment. Improve the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment according to the judgment result, where:

[0049] Set the preset stirring speed to include the lowest preset stirring speed D1` and the highest preset stirring speed D2`

[0050] When D1` ≤ D` ≤ D2`, it is determined that the optimized stirring speed D` is within the preset stirring speed range, and the optimized stirring speed D` meets the standard. Do not improve the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment;

[0051] When D` < D1`, it is determined that the optimized stirring speed D` is lower than the lowest preset stirring speed D`, and the optimized stirring speed D` does not meet the standard. Improve the optimized stirring speed D` to make it reach the appropriate range of D1` ≤ D` ≤ D2`;

[0052] When D` > D2`, it is determined that the optimized stirring speed D` is higher than the highest preset stirring speed, and the optimized stirring speed D` does not meet the standard. Improve the preset silicone rubber particle size A0, set the optimized preset silicone rubber particle size as A0`, and the preset stirring speed as D0`. A0` = (D` / D0`) × A0.

[0053] Further, when the step S4 performs feedback monitoring on the defoamed coating, the bubble content in the defoamed coating is obtained through a camera to obtain the bubble residue amount G. The preset bubble residue amount is set as G1. The bubble residue amount G is compared with the preset bubble residue amount G1. According to the comparison result, it is judged whether the bubble residue amount G is qualified, and according to the judgment result, the optimized stirring speed and the addition amount of γ-methacryloyloxypropyltrimethoxysilane are corrected by observing the bubble distribution and size, where:

[0054] When G ≤ G1, it is determined that the bubble residue amount G is less than the preset bubble residue amount G1, and the bubble residue amount is qualified, and the optimized stirring speed D` is not corrected;

[0055] When G > G1, it is determined that the bubble residue amount G is greater than the preset bubble residue amount G1, and the bubble residue amount is unqualified. The bubble residue amount G is too high. At this time, observe the distribution and size of the bubbles, where:

[0056] When the bubbles are evenly distributed and of the same size in the defoamed coating, the optimized stirring speed D` is corrected. Set D`` as the corrected stirring speed, D`` = 0.73 × D`;

[0057] When the bubbles are concentrated around the silicone rubber particles and less in other areas, the addition amount of γ-methacryloyloxypropyltrimethoxysilane in the pretreatment stage is increased to 6% - 9%.

[0058] Further, when the step S4 performs feedback monitoring on the defoamed coating, the ambient temperature is also monitored through a temperature sensor to obtain the ambient temperature H. The preset ambient temperature is set as H1. The ambient temperature H is compared with the preset ambient temperature H1. According to the comparison result, it is judged whether the ambient temperature H meets the standard for updating, and according to the judgment result, the preset bubble residue amount G1 is updated, where:

[0059] When H ≤ H1, it is determined that the ambient temperature H is less than the preset ambient temperature H1, and the ambient temperature H meets the standard and the preset bubble residue amount G1 is not updated;

[0060] When H > H1, it is determined that the ambient temperature H is higher than the preset ambient temperature H1, and the ambient temperature H does not meet the standard. The preset bubble residue amount G1 is updated. Set the updated preset bubble residue amount as G1`, G1` = G1 × ω, where ω is the ambient temperature coefficient.

[0061] Further, when the step S4 performs feedback monitoring on the defoamed coating, the size of the remaining bubbles is also monitored by a camera to obtain the average size J of the remaining bubbles. The preset average bubble size is set as J0. The average size J of the remaining bubbles is compared with the preset average bubble size J0. According to the comparison result, it is judged whether the average size J of the remaining bubbles meets the standard, and the preset environmental temperature H1 is corrected according to the judgment result, where:

[0062] When J ≤ J0, it is determined that the average size J of the remaining bubbles is smaller than the preset average bubble size J0, and the average size of the remaining bubbles meets the standard, and the preset environmental temperature H1 is not corrected;

[0063] When J > J0, it is determined that the average size J of the remaining bubbles is larger than the preset average bubble size J0, and the average size of the remaining bubbles does not meet the standard. The corrected preset environmental temperature is set as H1`, and the preset environmental temperature H1 is corrected so that H > H1`.

[0064] Further, when the step S5 performs real-time monitoring on the curing process, the curing time L is obtained. The preset curing time is set as L0. The curing time L is compared with the preset curing time L0. According to the comparison result, it is judged whether the curing time L meets the standard, and the curing process is optimized and controlled according to the judgment result, where:

[0065] When L < L0, it is determined that the curing time L does not reach the preset curing time L0, and the curing time L meets the standard, and no optimization control is required and the curing process continues;

[0066] When L ≥ L0, it is determined that the curing time L reaches the preset curing time L0, and the curing time L does not meet the standard, and optimization control is required to stop the curing process.

[0067] Further, when the step S5 performs real-time monitoring on the curing process, the hardness of the coating is also monitored by an ultrasonic instrument to obtain the coating hardness K. The preset coating hardness is set as K0. The coating hardness K is compared with the preset coating hardness K0. According to the comparison result, it is judged whether the coating hardness K meets the standard, and the preset curing time L0 and the curing process are optimized and adjusted according to the judgment result, where:

[0068] When K < K0, it is determined that the coating hardness K does not reach the preset coating hardness K0, and the coating hardness K does not meet the standard. The preset minimum curing time L0 needs to be optimized and adjusted, and the curing process is not optimized and adjusted. The optimized preset curing time is set as L0`, L0` = (K0 / (K - K0)) × L0;

[0069] When K ≥ K0, it is determined that the coating hardness K reaches the preset coating hardness K0, and the coating hardness K meets the standard. The curing process needs to be optimized and adjusted, the preset minimum curing time L0 is not optimized and adjusted, and the curing process is stopped;

[0070] When the step S5 monitors the aging treatment in real time, it also obtains the coating thickness to get the coating thickness M. The minimum preset coating thickness is set as M1, and the maximum preset coating thickness is set as M2. The coating thickness M is compared with the preset coating thickness, and the compliance of the coating thickness M is judged according to the comparison result, and the preset coating hardness K0 is optimized and improved according to the judgment result, where:

[0071] The preset coating thickness is set to include the minimum preset coating thickness M1 and the maximum preset coating thickness M2;

[0072] When M1 ≤ M ≤ M2, it is determined that the coating thickness M is within the preset coating thickness range, and the coating thickness M meets the standard, and the preset coating hardness K0 is not optimized and improved;

[0073] When M < M1, it is determined that the coating thickness does not reach the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0. The optimized and improved preset coating hardness is set as K0`, and K0` = K - 0.77×M;

[0074] When M > M2, it is determined that the coating thickness exceeds the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0, and K0` = K + 0.36×(M0 - M).

[0075] Compared with the prior art, the present invention has the following beneficial effects: the method significantly optimizes the morphology and surface activity of silicone rubber particles, enhances the mechanical properties and anti-pollution flashover capability of the coating through cutting, ultrasonic dispersion, silane coupling agent modification, and vacuum drying treatment in step S1; ethanol washing and solvent recovery reduce impurity content and production costs; the process supports flexible adjustment of the formulation, laying a key foundation for the preparation of high-performance anti-pollution flashover coatings; the combination of pretreatment methods and real-time monitoring technology can significantly improve the uniformity, production efficiency, and compliance of silicone rubber particles, while reducing energy consumption and safety risks; the method systematically obtains the formulation materials of ordinary anti-pollution flashover coatings in step S2, which can significantly improve production efficiency and environmental adaptability. The method achieves efficient fusion of active silicone rubber particles and the coating system by precisely controlling multi-stage stirring parameters and coordinating dispersion of components through step S3. Surface-activated silicone rubber particles are uniformly swollen in the solvent through gentle stirring, and the base material and filler are graded and filled under high-speed shearing. A complete network structure is then formed through a temperature-controlled cross-linking reaction to ensure that the components are evenly dispersed and free of agglomeration. The natural cooling process further stabilizes the cross-linking structure and reduces internal stress. This process improves the mechanical strength, weather resistance, and anti-fouling flashover performance of the coating through the coordinated optimization of temperature, speed, and time. It also ensures precise regulation of mixing uniformity and cross-linking degree through step-by-step control. Dynamic parameter adjustment ensures product consistency, and multi-stage stirring and particle size control optimize coating performance. , precise control of cross-linked structure enhances durability, closed-loop feedback shortens process verification cycle, intelligent speed regulation reduces energy consumption and device loss, full process automation reduces manual intervention, reduced defective rate directly saves raw materials, extended device life reduces maintenance costs, data-driven decision-making optimizes resource allocation, real-time temperature monitoring prevents safety accidents, and automatic warning of parameter exceeding the limit ensures stable production. The method uses the density difference between bubbles and coatings in step S4 to make them float and rupture naturally, and effectively eliminates large-sized bubbles at low cost and without additional energy consumption, avoiding mechanical degassing to shear damage to silicone rubber molecular chains and interference with the dispersion state of fillers, and effectively protecting the elasticity, tensile properties and uniformity of the coating. The method is simple and controllable to operate and is suitable for cross-linked It can prevent the accelerated cross-linking reaction and stabilize the construction time window. At the same time, it can reduce the risk of pinholes, pitting and partial breakdown on the coating surface by eliminating bubbles, thereby improving the appearance quality and reliability. It can eliminate bubble defects in the coating to improve the appearance smoothness, physical properties and thickness uniformity of the coating, directly reduce the scrap rate and broaden high-end application scenarios. The real-time parameter feedback and dynamic adjustment mechanism ensure process stability, shorten the processing cycle while reducing device loss and energy consumption, and achieve cost reduction and efficiency improvement. Through data-driven optimization and full process automation, this technology not only ensures the consistency and reliability of each batch of products, but also supports quality traceability and predictive maintenance, and monitors the vacuum system and volatile substances to improve production safety and environmental protection.The method significantly improves the anti-fouling and flashover performance of the coating by precisely regulating the cross-linking reaction conditions through real-time monitoring technology in step S5, real-time monitors the viscosity and cross-linking degree, dynamically calibrates the process conditions, eliminates internal stress and prevents under-curing and over-curing problems, ensures product stability and batch consistency. This technology shortens the production cycle, reduces energy consumption, decreases the defective rate and rework costs through intelligent temperature control and data feedback. The multi-parameter collaborative monitoring and abnormal warning mechanism enhance process safety. The complete data record supports quality traceability and compliance requirements. The flexible parameter adjustment ability supports customized production and new product R & D. The efficient energy utilization and waste reduction meet the concept of green manufacturing, comprehensively improving the production efficiency and product quality of the enterprise. Description of the Drawings

[0076] Figure 1 It is a schematic flow chart of the preparation method for increasing the silicone rubber content in the ordinary anti-fouling and flashover coating in this embodiment. Detailed Embodiments

[0077] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] The preferred embodiments of the present invention will be described below with reference to the drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0079] Please refer to Figure 1 shown, which is a schematic flow chart of the preparation method for increasing the silicone rubber content in the ordinary anti-fouling and flashover coating in this embodiment. The preparation method includes:

[0080] Step S1: Pretreat the massive silicone rubber according to the silicone rubber pretreatment method to obtain dispersed silicone rubber particles, and conduct real-time monitoring of the pretreatment process;

[0081] Step S2: Obtain the formulation materials of the ordinary anti-fouling and flashover coating to get the formulation materials;

[0082] Step S3: Mix the dispersed silicone rubber particles with the formulation materials to obtain a mixed coating, and conduct real-time monitoring of the mixing process;

[0083] Step S4: Debubble the mixed coating to obtain a debubbled coating, and conduct feedback monitoring on the debubbled coating;

[0084] Step S5: Cure the debubbled coating to obtain a high-silicone-rubber anti-fouling and flashover coating, and conduct real-time monitoring of the curing process.

[0085] Specifically, the preparation method is applied to the preparation process of the anti-fouling and flashover coating. Through silicone rubber pretreatment and real-time monitoring, formula material acquisition, mixing treatment and real-time monitoring, defoaming treatment and feedback monitoring, and curing treatment and real-time monitoring, the efficient dispersion and performance optimization of silicone rubber in the anti-fouling and flashover coating are realized, thereby increasing the content of silicone rubber in the ordinary anti-fouling and flashover coating. In particular, through steps S1 of cutting, ultrasonic dispersion, silane coupling agent modification, and vacuum drying treatment, the morphology and surface activity of silicone rubber particles are significantly optimized, the mechanical properties and anti-fouling and flashover ability of the coating are enhanced, ethanol washing and solvent recovery reduce the impurity content and production cost. This process supports flexible adjustment of the formula, laying a key foundation for the preparation of high-performance anti-fouling and flashover coatings. The combination of the pretreatment method and real-time monitoring technology can significantly improve the uniformity, production efficiency, and compliance of silicone rubber particles, while reducing energy consumption and safety risks. Through step S2, the formula materials of the ordinary anti-fouling and flashover coating are systematically obtained, which can significantly improve the production efficiency and environmental adaptability. Through step S3, the precise control of multi-stage stirring parameters and the coordinated dispersion of components are carried out to achieve the efficient fusion of activated silicone rubber particles and the coating system. The surface-activated silicone rubber particles are gently stirred and uniformly swollen in the solvent, and the base material and filler are graded and filled under high-speed shearing, and then a complete network structure is formed through a temperature-controlled cross-linking reaction, ensuring that each component is evenly dispersed without agglomeration. The natural cooling process further stabilizes the cross-linking structure and reduces internal stress.Through the collaborative optimization of temperature, speed, and time, this process enhances the mechanical strength, weather resistance, and anti-fouling flashover performance of the coating. It also ensures the precise control of mixing uniformity and crosslinking degree through step-by-step control, and dynamic parameter adjustment ensures product consistency. Multi-stage stirring and particle size control optimize the coating performance, precise control of the crosslinked structure enhances durability, closed-loop feedback shortens the process verification cycle, intelligent speed regulation reduces energy consumption and equipment loss, full-process automation reduces manual intervention, the reduction of the defective rate directly saves raw materials, the extension of equipment life reduces maintenance costs, data-driven decision-making optimizes resource allocation, real-time temperature monitoring prevents safety accidents, and automatic early warning of parameter overrun ensures stable production. The method uses the density difference between bubbles and the coating to make them float and burst naturally in step S4, efficiently eliminating large-sized bubbles under the conditions of low cost and no additional energy consumption, avoiding the shear damage to the silicone rubber molecular chain and the interference with the filler dispersion state caused by mechanical defoaming, effectively protecting the elasticity, tensile properties, and uniformity of the coating. This method is simple and controllable, suitable for complex coating systems containing crosslinking agents, preventing the acceleration of crosslinking reactions and stabilizing the construction time window. At the same time, by eliminating bubbles, it reduces the risk of pinholes, pockmarks, and partial breakdown on the coating surface, improves the appearance quality and reliability, eliminates the bubble defects in the coating, enhances the appearance flatness, physical properties, and thickness uniformity of the coating, directly reduces the scrap rate, and broadens the high-end application scenarios. The real-time parameter feedback and dynamic adjustment mechanism ensure process stability, shorten the processing cycle while reducing equipment loss and energy consumption, achieving cost reduction and efficiency improvement. This technology, through data-driven optimization and full-process automation, not only ensures the consistency and reliability of each batch of products but also supports quality traceability and predictive maintenance. The monitoring of the vacuum system and volatile substances improves production safety and environmental protection. The method uses real-time monitoring technology in step S5 to significantly enhance the anti-fouling flashover performance of the coating by precisely controlling the crosslinking reaction conditions, real-time monitoring of viscosity and crosslinking degree, dynamically calibrating process conditions, eliminating internal stress, and preventing under-curing and over-curing problems, ensuring product stability and batch consistency. This technology shortens the production cycle, reduces energy consumption, decreases the defective rate and rework costs through intelligent temperature control and data feedback. The multi-parameter collaborative monitoring and abnormal warning mechanism enhance process safety. The complete data record supports quality traceability and compliance requirements. The flexible parameter adjustment ability supports customized production and new product R & D. The efficient use of energy and reduction of waste meet the concept of green manufacturing, comprehensively improving the production efficiency and product quality of the enterprise.,

[0086] Specifically, when performing pretreatment on the block silicone rubber in step S1, a cutting tool is used to cut the block silicone rubber to obtain silicone rubber particles. The silicone rubber particles are put into a toluene solution to obtain a dispersion to be dispersed. An ultrasonic cleaner is used to disperse the dispersion to be dispersed to obtain a toluene silicone rubber particle liquid. γ-methacryloxypropyltrimethoxysilane is added to the toluene silicone rubber particle liquid to obtain a dispersion liquid. The dispersion liquid is subjected to a constant temperature water bath treatment, and a first stirring treatment is performed during the constant temperature water bath treatment to obtain a stirred liquid. Ethanol is added to the stirred liquid, and the stirred liquid is washed to obtain a washing liquid. The washing liquid is filtered to obtain filtered particles. The filtered particles are placed in a vacuum drying oven for drying treatment until the filtered particles reach a constant weight to obtain dried silicone rubber particles. Set the mass of the block silicone rubber as Mk, the mass of γ-methacryloxypropyltrimethoxysilane as Mw, the temperature of the constant temperature water bath treatment as Th, the stirring speed of the first stirring treatment as Vj, the stirring time of the first stirring treatment as tj, and the drying temperature of the drying treatment as Tg, where:

[0087] 0.01Mk ≤ Mw ≤ 0.05Mk;

[0088] Th = 60°C;

[0089] Vj = 200 r / min;

[0090] tj = 2 h;

[0091] Tg = 80°C.

[0092] Specifically, the block silicone rubber refers to a high molecular elastic material with a siloxane main chain. The pretreatment refers to the preparation process of sample preparation. The cutting tool refers to a tool used to separate and divide materials by physical and chemical means. The type of cutting tool is not limited in this embodiment. For example, it can be set as a cutting machine. The cutting process refers to a processing process of using mechanical, thermal and chemical technical means to divide, cut and separate materials. The silicone rubber particles refer to granular materials made with silicone rubber blocks as the base material. The toluene solution refers to a homogeneous mixture formed by dissolving other substances with toluene as the solvent. The ultrasonic cleaning machine refers to a cleaning device that uses high-frequency ultrasonic waves to generate cavitation effects in liquids to remove stains on the surface of objects. The dispersion process refers to the process of uniformly dispersing other aggregates in liquid and solid matrices. The γ-glycidoxypropyltrimethoxysilane refers to an organosilane coupling agent. The constant temperature water bath treatment refers to a treatment method of precisely controlling the water bath temperature to enable samples and materials to react, dissolve, heat and cool in a constant temperature environment. The first stirring process refers to the initial mixing stage in a multi-step mixing process. The washing process refers to the process of removing impurities, residues, pollutants and reaction by-products on the surface and inside of materials. Filtration refers to the process of separating solid particles and suspended substances from liquids and gases. The method of filtration is not limited in this embodiment. For example, it can be filtered through a filter screen. The vacuum drying oven refers to a device for low-temperature drying, degassing and heat treatment of materials in a negative pressure environment. The drying process refers to a process of removing moisture and other volatile components in materials to make them completely dehydrated. The constant weight of the filtered particles refers to the state where the particle mass reaches a stable and unchanged state after drying treatment after separating solid particles by filtration. The mass Mk of the block silicone rubber refers to the mass of the block silicone rubber used in the pretreatment. The mass Mw of the γ-glycidoxypropyltrimethoxysilane refers to the mass of the γ-glycidoxypropyltrimethoxysilane used in the pretreatment. The temperature of the constant temperature water bath treatment refers to the constant liquid medium temperature precisely set and maintained by a constant temperature water bath device. The constant temperature water bath device is not limited in this embodiment. For example, it can be set as a constant temperature water bath pot. The stirring speed of the first stirring process refers to the stirring speed during the first stirring process in the pretreatment process. The stirring time of the first stirring process refers to the time of the first stirring process in the pretreatment process. The drying temperature refers to the temperature maintained in the vacuum drying oven during the drying process.

[0093] Specifically, the pretreatment process of the block silicone rubber in step S1 significantly optimizes the morphology and surface activity of the silicone rubber particles through cutting, ultrasonic dispersion, silane coupling agent modification and vacuum drying treatment, enhances the mechanical properties and anti-fouling flashover ability of the coating, and ethanol washing and solvent recovery reduce the impurity content and production cost. This process supports flexible adjustment of the formula and lays a key foundation for the preparation of high-performance anti-fouling flashover coatings.

[0094] Specifically, when the step S1 performs real-time monitoring on the preprocessing process, it obtains the ultrasonic dispersion time in real time to obtain the ultrasonic dispersion time B. The preset ultrasonic dispersion time is set as B0. The ultrasonic dispersion time B is compared with the preset ultrasonic dispersion time B0. According to the comparison result, it is judged whether the ultrasonic dispersion time B meets the standard, and the dispersion process is controlled according to the judgment result, where:

[0095] When B < B0, it is determined that the ultrasonic dispersion time B does not meet the preset ultrasonic dispersion time B0, and the ultrasonic dispersion time B does not meet the standard. The dispersion process is controlled, and the dispersion process continues;

[0096] When B ≥ B0, it is determined that the ultrasonic dispersion time B reaches the preset ultrasonic dispersion time B0, and the ultrasonic dispersion time B meets the standard. The dispersion process is controlled, and the dispersion process stops;

[0097] When the step S1 performs real-time monitoring on the preprocessing process, it also obtains the average particle size of the silicone rubber particles in real time through a laser particle size analyzer to obtain the average particle size A of the silicone rubber particles. The preset average particle size of the silicone rubber particles is set as A0. The average particle size A of the silicone rubber particles is compared with the preset average particle size A0 of the silicone rubber particles. According to the comparison result, it is judged whether the average particle size A of the silicone rubber particles meets the standard, and the dispersion process is adjusted according to the judgment result, where:

[0098] When A ≤ A0, it is determined that the average particle size A of the silicone rubber particles reaches the preset average particle size A0 of the silicone rubber particles, and the average particle size A of the silicone rubber particles meets the standard. The dispersion process is adjusted to stop the dispersion process;

[0099] When A > A0, it is determined that the average particle size A of the silicone rubber particles does not meet the preset average particle size A0 of the silicone rubber particles, and the average particle size A of the silicone rubber particles does not meet the standard. The preset ultrasonic dispersion time B0 is adjusted, and the adjusted preset ultrasonic dispersion time is set as B0`. is an adjustment coefficient,

[0100] Specifically, the ultrasonic dispersion time B refers to the continuous time for dispersing the silicone rubber particles in the liquid by using an ultrasonic cleaner. The preset ultrasonic dispersion time B0 refers to the preset initial dispersion time. The laser particle size analyzer refers to a precision instrument used to measure the particle size and its distribution of particulate materials. The average particle size A of the silicone rubber refers to the average size of the silicone rubber particle population during the dispersion process. The preset average particle size A0 of the silicone rubber refers to the preset average size of the silicone rubber particles.

[0101] Specifically, by combining the pretreatment method with real-time monitoring technology in step S1, the uniformity, production efficiency, and compliance of silicone rubber particles can be significantly improved, while reducing energy consumption and safety risks.

[0102] Specifically, when obtaining the formulation materials of the ordinary anti-fouling and flashover coating in step S2, it is set that the formulation materials of the ordinary anti-fouling and flashover coating include: binder, filler, and auxiliary additives.

[0103] Specifically, the formulation materials of the ordinary anti-fouling and flashover coating refer to the materials required according to the formulation of the ordinary anti-fouling and flashover coating. In this embodiment, the acquisition method of the formulation materials of the ordinary anti-fouling and flashover coating is not limited. For example, it can be purchased in a chemical supplies store. The binder refers to the material responsible for forming a continuous and stable coating film and adhesive layer. The filler refers to the solid particles and fibers added to the material. The auxiliary additives refer to cross-linking agents and catalysts. The types of cross-linking agents and catalysts are not limited in this embodiment.

[0104] Specifically, by systematically obtaining the formulation materials of the ordinary anti-fouling and flashover coating in step S2, the production efficiency and environmental adaptability can be significantly improved.

[0105] Specifically, when mixing and processing the dried silicone rubber particles and the formulation materials of the ordinary anti-fouling and flashover coating in step S3, the dried silicone rubber particles are subjected to surface activation treatment to obtain activated silicone rubber particles. The activated silicone rubber particles and the solvent are subjected to a second stirring treatment in a reaction kettle equipped with a stirring device to obtain a silicone rubber dispersion. Nano-titanium dioxide and fumed silica are added to the silicone rubber dispersion for a third stirring treatment to obtain a dispersed coating. The binder and filler are added to the dispersed coating for a fourth stirring treatment to obtain a mixed coating. The auxiliary additives are added to the mixed coating for a stirring reaction treatment to obtain a network coating. The network coating is naturally cooled until the temperature of the network coating drops to room temperature. The second stirring treatment speed is set as D2, the second stirring treatment time is t2, the third stirring treatment speed is D3, the third stirring treatment time is t3, the fourth stirring treatment speed is D4, the fourth stirring treatment time is t4, the stirring reaction treatment temperature is Qf, the stirring reaction treatment speed is Df, and the stirring reaction treatment time is tf, where:

[0106] D2 = 300r / min - 400r / min;

[0107] t2 = 30min;

[0108] D3 = D2 = 300r / min - 400r / min;

[0109] t3 = 60min;

[0110] D4 = 600 r / min - 800 r / min;

[0111] t4 = 90 min;

[0112] Qf = 50 - 80 °C;

[0113] Df = D4 = 600 r / min - 800 r / min;

[0114] tf = 150 min.

[0115] Specifically, the mixing process refers to the process of mixing dried silicone rubber particles with formulation materials. The surface activation process refers to the process of changing the surface properties of materials through physical and chemical methods to enhance their wettability, adhesiveness, reactivity, and functionality. The reaction kettle refers to a closed container used for physical and chemical reactions. The solvent refers to a medium that can dissolve other substances. The type of solvent is not limited in this embodiment. The second stirring process refers to the further stirring process after adding the solvent. The nanoscale titanium dioxide refers to titanium dioxide particles with a particle size in the range of 1 - 100 nanometers. The fumed silica refers to ultrafine silica materials prepared by high-temperature gas-phase reactions. The third stirring process refers to the further stirring process after adding nanoscale titanium dioxide and fumed silica. The fourth stirring process refers to the further stirring process after adding the base material and filler. The stirring and reaction process refers to the process of promoting the uniform mixing and reaction of materials using a stirring device. The natural cooling process refers to the process of slowly cooling the reticulated coating in a normal-temperature environment through natural convection, radiation, and conduction.

[0116] Specifically, in the mixing process of step S3, through precise control of multi-stage stirring parameters and coordinated dispersion of components, the efficient fusion of active silicone rubber particles and the coating system is achieved. The surface-activated silicone rubber particles are gently stirred and uniformly swollen in the solvent. The base material and filler achieve graded filling under high-speed shearing, and then a complete reticulated structure is formed through temperature-controlled cross-linking reaction, ensuring that each component is evenly dispersed without agglomeration. The natural cooling process further stabilizes the cross-linked structure and reduces internal stress. This process optimizes the temperature, speed, and time in a coordinated manner to improve the mechanical strength, weather resistance, and anti-fouling flashover performance of the coating, and also ensures precise control of the mixing uniformity and cross-linking degree through step-by-step control.

[0117] Specifically, when the step S3 performs real-time monitoring on the mixing process, the viscosity of the mixed coating is monitored in real time through a viscosity rotor sensor to obtain the viscosity Cn of the mixed coating. The lowest preset viscosity is set as C1, and the highest preset viscosity is set as C2. The viscosity Cn of the mixed coating is compared with the preset coating viscosity, and according to the comparison result, it is judged whether the viscosity Cn of the mixed coating in the second stirring process meets the standard, and the second stirring speed D2 is optimized according to the judgment result, where:

[0118] The preset coating viscosity is set to include the lowest preset viscosity C1 and the highest preset viscosity C2;

[0119] When C1 < Cn ≤ C2, it is determined that the viscosity Cn of the mixed coating reaches the preset coating viscosity, and the viscosity Cn of the mixed coating meets the standard, and the speed D2 of the second stirring process is not optimized;

[0120] When Cn ≤ C1, it is determined that the viscosity Cn of the mixed coating is lower than the preset coating viscosity, and the viscosity Cn of the mixed coating does not meet the standard. The speed D2 of the second stirring process is optimized to increase the speed D2 of the second stirring process. The optimized stirring speed is set as D`, D` = (1 + C / C0) × D2;

[0121] When Cn > C2, it is determined that the viscosity Cn of the mixed coating is higher than the preset coating viscosity, and the viscosity Cn of the mixed coating does not meet the standard. The speed D2 of the second stirring process is optimized to decrease the speed D2 of the second stirring process. The optimized stirring process speed is set as D`, D` = D2 - 5.23 × (C0 - C) / C0;

[0122] When the step S3 performs real-time monitoring on the mixing process, the crosslinking degree of the silicone rubber in the mixing process is also obtained in real time through a Fourier transform infrared spectrometer combined with an optical fiber probe to obtain the crosslinking degree value E. The lowest preset crosslinking degree value is set as E1, and the highest crosslinking degree value is set as E2. The crosslinking degree value E is compared with the preset crosslinking degree value, and according to the comparison result, it is judged whether the crosslinking degree value E meets the standard, and the lowest preset viscosity C1 and the highest preset viscosity C2 are adjusted according to the judgment result, where:

[0123] The preset crosslinking degree value is set to include the lowest preset crosslinking degree value E1 and the highest preset crosslinking degree value E2;

[0124] When E1 ≤ E ≤ E2, it is determined that the crosslinking degree value E reaches the preset crosslinking degree value, and the crosslinking degree value E meets the standard, and the mixing process is not adjusted;

[0125] When E < E1, it is determined that the crosslinking degree value E is less than the minimum preset crosslinking degree value E1, and the crosslinking degree value E does not meet the standard. Adjust the mixing process, and set the adjusted minimum preset viscosity to C1`, C1` = |α - 1| × Cn, where α is the temperature coefficient, α = 1.48 - 0.2 × e -0.1×E , 1.28 ≤ α ≤ 1.48;

[0126] When E > E2, it is determined that the crosslinking degree value E is greater than the maximum preset crosslinking degree value E2, and the crosslinking degree value E does not meet the standard. Adjust the mixing process, and set the adjusted maximum preset viscosity to C2`, C2` = α × Cn;

[0127] When performing real-time monitoring of the mixing process in step S3, the temperature of the mixing process is also monitored through a temperature sensor to obtain the mixing temperature F. Set the minimum preset mixing temperature to F1 and the maximum preset mixing temperature to F2. Compare the mixing temperature F with the preset mixing temperature, and determine whether the mixing temperature F meets the standard according to the comparison result. Then, optimize the minimum preset crosslinking degree value E1 and the preset maximum crosslinking degree value E2 according to the judgment result, where:

[0128] Set the preset mixing temperature to include the minimum preset mixing temperature F1 and the maximum preset mixing temperature F2;

[0129] When F1 ≤ F ≤ F2, it is determined that the mixing temperature F reaches the preset mixing temperature, and the mixing temperature F meets the standard, and the preset crosslinking degree value is not optimized;

[0130] When F < F1, it is judged that the mixing temperature F is lower than the minimum preset mixing temperature F1, and the mixing temperature F does not meet the standard. Optimize the minimum preset crosslinking value E1, and set the adjusted minimum preset crosslinking value to E1`, E` = |β - 1| × E, where β is the temperature coefficient, β = 1.37 - 0.1 × e -0.2×F , and repeat the process of adjusting the minimum preset viscosity C1 and the maximum preset viscosity C2 according to the adjusted minimum preset crosslinking value E1`;

[0131] When F > F2, it is judged that the mixing temperature F is higher than the maximum preset mixing temperature, and the mixing temperature F does not meet the standard. Optimize the maximum preset crosslinking value E2, and set the adjusted maximum preset crosslinking value to E2`, E2` = β × E, and repeat the process of adjusting the minimum preset viscosity C1 and the maximum preset viscosity C2 according to the adjusted minimum preset crosslinking value E2`;

[0132] When performing real-time monitoring of the mixing process in step S3, the optimized stirring speed is also obtained, denoted as D`. The lowest preset stirring speed is set as D1`, and the highest preset stirring speed is set as D2`. The optimized stirring speed is compared with the preset stirring speed. Based on the comparison result, it is determined whether the optimized stirring speed D` meets the standard, and whether it is necessary to adjust and improve the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment. According to the judgment result, the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment are improved, where:

[0133] Setting the preset stirring speed includes the lowest preset stirring speed D1` and the highest preset stirring speed D2`.

[0134] When D1` ≤ D` ≤ D2`, it is determined that the optimized stirring speed D` is within the preset stirring speed range, and the optimized stirring speed D` meets the standard. The optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment are not improved;

[0135] When D` < D1`, it is judged that the optimized stirring speed D` is lower than the lowest preset stirring speed D`, and the optimized stirring speed D` does not meet the standard. The optimized stirring speed D` is improved to make it reach the appropriate range of D1` ≤ D` ≤ D2`;

[0136] When D` > D2`, it is judged that the optimized stirring speed D` is higher than the highest preset stirring speed, and the optimized stirring speed D` does not meet the standard. The preset particle size A0 of the silicone rubber is improved. The optimized preset particle size of the silicone rubber is set as A0`, and the preset stirring speed is D0`. A0` = (D` / D0`) × A0.

[0137] Specifically, the viscosity rotor sensor refers to a device for measuring the viscosity of a fluid based on the rotation principle. The mixed coating viscosity Cn refers to the flow resistance characteristic value of the mixed coating after being uniformly mixed. The lowest preset viscosity C1 refers to the lowest gear in the preset coating viscosity grades. The highest preset viscosity C2 refers to the highest gear in the preset coating viscosity grades. The preset coating viscosity refers to the preset ideal viscosity value. The optimized stirring speed D` refers to the stirring speed after optimizing the speed D2 of the second stirring process when the mixed coating viscosity Cn does not meet the standard. The Fourier transform infrared spectrometer refers to an infrared spectral analysis instrument based on the interference principle and Fourier transform mathematical methods. The optical fiber probe refers to a sensing and signal transmission device based on optical fiber technology. The crosslinking degree value E refers to a quantitative index of the reaction of silicone rubber particles with the formulation materials during the mixing process. The lowest preset crosslinking degree value E1 refers to the set lower limit of the crosslinking density. The highest preset crosslinking degree value E2 refers to the set upper limit of the crosslinking density. The preset crosslinking degree value refers to the ideal crosslinking density set for the material to meet the performance requirements. The temperature sensor refers to a device that can sense the temperature changes of the environment and objects and convert them into measurable electrical signals and digital signals. The mixing temperature F refers to the temperature during the mixing process. The lowest preset mixing temperature F1 refers to the preset lower limit value of the temperature. The highest preset mixing temperature F2 refers to the preset upper limit value of the temperature. The preset mixing temperature refers to the temperature set during the mixing process. The lowest preset stirring speed D1` refers to the lower limit value of the rotation speed of the stirring equipment set during the mixing process. The highest preset stirring speed D2` refers to the upper limit value of the rotation speed of the stirring equipment set during the mixing process. The preset stirring speed refers to the target value of the rotation speed of the stirring equipment set during the mixing process.

[0138] Specifically, the dynamic parameter adjustment in step S3 ensures product consistency, multi-stage stirring and particle size control optimize the coating performance, precise control of the crosslinking structure enhances durability, closed-loop feedback shortens the process verification cycle, intelligent speed regulation reduces energy consumption and device losses, full-process automation reduces manual intervention, direct reduction of the defective rate saves raw materials, extended device life reduces maintenance costs, data-driven decision-making optimizes resource allocation, real-time temperature monitoring prevents safety accidents, and automatic warning for parameter overrun ensures production stability.

[0139] Specifically, when performing the defoaming treatment on the mixed coating, the net-shaped coating is introduced into a container and left to stand for 2 h, so that the bubbles in the net-shaped coating rise to the surface of the net-shaped coating and burst, obtaining the defoamed coating.

[0140] Specifically, the defoaming treatment refers to a technical process of removing the bubbles generated in the mixed coating to reduce the bubble residue amount G1. The container refers to a placement device that can perform the defoaming treatment on the mixed coating. The type of the container is not limited in this embodiment.

[0141] Specifically, in step S4, by taking advantage of the density difference between the bubbles and the coating, the bubbles naturally float up and burst, efficiently eliminating large-sized bubbles under the conditions of low cost and no additional energy consumption, avoiding the shear damage to the silicone rubber molecular chains and the interference with the filler dispersion state caused by mechanical defoaming, effectively protecting the elasticity, tensile properties and uniformity of the coating. This method is simple and controllable in operation, suitable for complex coating systems containing cross-linking agents, preventing the acceleration of cross-linking reactions and stabilizing the construction time window. At the same time, by eliminating bubbles, the risks of pinholes, pockmarks and partial breakdown on the coating surface are reduced, improving the appearance quality and reliability.

[0142] Specifically, when performing feedback monitoring on the defoamed coating in step S4, the bubble content in the defoamed coating is obtained through a camera to get the bubble residue amount G. A preset bubble residue amount is set as G1. The bubble residue amount G is compared with the preset bubble residue amount G1. According to the comparison result, it is judged whether the bubble residue amount G is qualified, and based on the judgment result, the optimized stirring speed and the addition amount of γ-methacryloyloxypropyltrimethoxysilane are corrected by observing the bubble distribution and size, where:

[0143] When G ≤ G1, it is determined that the bubble residue amount G is less than the preset bubble residue amount G1, and the bubble residue amount is qualified, and the optimized stirring speed D` is not corrected;

[0144] When G > G1, it is determined that the bubble residue amount G is greater than the preset bubble residue amount G1, and the bubble residue amount is unqualified. At this time, the bubble residue amount G is too high. Observe the distribution and size of the bubbles, where:

[0145] When the bubbles are evenly distributed and of the same size in the defoamed coating, the optimized stirring speed D` is corrected. Let D`` be the corrected stirring speed, and D`` = 0.73 × D`;

[0146] When the bubbles are concentrated around the silicone rubber particles and less in other areas, the addition amount of γ-methacryloyloxypropyltrimethoxysilane in the pretreatment stage is increased to 6% - 9%;

[0147] When performing feedback monitoring on the defoamed coating in step S4, the ambient temperature is also monitored through a temperature sensor to get the ambient temperature H. A preset ambient temperature is set as H1. The ambient temperature H is compared with the preset ambient temperature H1. According to the comparison result, it is judged whether the ambient temperature H meets the standard and is updated, and based on the judgment result, the preset bubble residue amount G1 is updated, where:

[0148] When H ≤ H1, it is determined that the ambient temperature H is less than the preset ambient temperature H1, and the ambient temperature H meets the standard and the preset bubble residue amount G1 is not updated;

[0149] When H > H1, it is determined that the ambient temperature H is higher than the preset ambient temperature H1, the ambient temperature H does not meet the standard, the preset bubble residue amount G1 is updated, and the updated preset bubble residue amount is set as G1`, G1` = G1 × ω, where ω is the ambient temperature coefficient.

[0150] When performing feedback monitoring on the degassing coating in step S4, the size of the remaining bubbles is also monitored by a camera to obtain the average size J of the remaining bubbles. The preset average size of the bubbles is set as J0. The average size J of the remaining bubbles is compared with the preset average size J0 of the bubbles. According to the comparison result, it is judged whether the average size J of the remaining bubbles meets the standard, and the preset ambient temperature H1 is corrected according to the judgment result, where:

[0151] When J ≤ J0, it is determined that the average size J of the remaining bubbles is smaller than the preset average size J0 of the bubbles, the average size of the remaining bubbles meets the standard, and the preset ambient temperature H1 is not corrected.

[0152] When J > J0, it is determined that the average size J of the remaining bubbles is larger than the preset average size J0 of the bubbles, the average size of the remaining bubbles does not meet the standard, and the corrected preset ambient temperature is set as H1`, and the preset ambient temperature H1 is corrected so that H > H1`.

[0153] Specifically, the camera refers to, the bubble content refers to, the bubble residue amount G refers to, the preset bubble residue amount G1 refers to the maximum size and quantity of the allowed remaining bubble content set to ensure the quality of the degassing coating. The bubble distribution and size refer to the spatial distribution of the bubbles existing inside and on the surface of the degassing coating and the geometric size of a single bubble. The ambient temperature refers to the temperature of the surrounding air and medium in the area where the degassing treatment is carried out. The preset ambient temperature H1 refers to the preset value of the ambient temperature set to achieve the performance of the degassing coating and the stability of the reaction process during the degassing treatment. The updated preset bubble residue amount G1` refers to the new range of the preset allowed bubble residue amount G1 re-evaluated and set. The average size J of the remaining bubbles refers to the statistical average of the bubble sizes in the group of remaining bubbles inside the degassing coating. The preset average size J0 of the bubbles refers to the statistical average of the equivalent diameters of the allowed remaining bubbles in the group of remaining bubbles set inside the degassing coating. The corrected preset ambient temperature H1` refers to the highest value of the ambient temperature re-evaluated and preset.

[0154] Specifically, when the feedback monitoring of the defoamed coating is carried out in step S4, by eliminating the bubble defects in the coating, the appearance flatness, physical properties and thickness uniformity of the coating are improved, the reject rate is directly reduced, and the high-end application scenarios are broadened. The real-time parameter feedback and dynamic adjustment mechanism ensure the process stability, shorten the processing cycle, reduce the device loss and energy consumption at the same time, achieve cost reduction and efficiency increase. This technology optimizes through data-driven and full-process automation, not only ensures the consistency and reliability of each batch of products, but also supports quality traceability and predictive maintenance. The monitoring of the vacuum system and volatile substances improves production safety and environmental protection.

[0155] Specifically, when the defoamed coating is cured in step S5, a heating device is used to cure the defoamed coating. The defoamed coating is passed into the heating device, and the heating temperature is controlled at 50 °C to obtain a high-silicon rubber anti-fouling and flashover coating.

[0156] Specifically, when the real-time monitoring of the curing process is carried out in step S5, the curing time L is obtained, the preset curing time is set as L0, the curing time L is compared with the preset curing time L0, and it is judged whether the curing time L meets the standard according to the comparison result, and the curing process is optimized and controlled according to the judgment result, where:

[0157] When L < L0, it is determined that the curing time L does not reach the preset curing time L0, the curing time L meets the standard, and no optimization control is required and the curing process continues;

[0158] When L ≥ L0, it is determined that the curing time L reaches the preset curing time L0, the curing time L does not meet the standard, and optimization control is required to stop the curing process;

[0159] When the real-time monitoring of the curing process is carried out in step S5, the hardness of the coating is also monitored by an ultrasonic instrument to obtain the coating hardness K. The preset coating hardness is set as K0, the coating hardness K is compared with the preset coating hardness K0, and it is judged whether the coating hardness K meets the standard according to the comparison result, and the preset curing time L0 and the curing process are optimized and adjusted according to the judgment result, where:

[0160] When K < K0, it is determined that the coating hardness K does not reach the preset coating hardness K0, the coating hardness K does not meet the standard, and the preset minimum curing time L0 needs to be optimized and adjusted, and the curing process is not optimized and adjusted. The optimized preset curing time is set as L0`, L0` = (K0 / (K - K0)) × L0;

[0161] When K ≥ K0, it is determined that the coating hardness K reaches the preset coating hardness K0, the coating hardness K meets the standard, and the curing process needs to be optimized and adjusted, and the preset minimum curing time L0 is not optimized and adjusted, and the curing process is stopped;

[0162] When the step S5 monitors the aging treatment in real time, it also obtains the coating thickness to get the coating thickness M. The minimum preset coating thickness is set as M1, and the maximum preset coating thickness is set as M2. The coating thickness M is compared with the preset coating thickness, and the compliance of the coating thickness M is judged according to the comparison result. Then, the preset coating hardness K0 is optimized and improved according to the judgment result, where:

[0163] Setting the preset coating thickness includes the minimum preset coating thickness M1 and the maximum preset coating thickness M2;

[0164] When M1 ≤ M ≤ M2, it is determined that the coating thickness M is within the preset coating thickness range, and the coating thickness M meets the standard, and the preset coating hardness K0 is not optimized and improved;

[0165] When M < M1, it is determined that the coating thickness does not reach the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0. The preset coating hardness after optimization and improvement is set as K0`, and K0` = K - 0.77×M;

[0166] When M > M2, it is determined that the coating thickness exceeds the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0, and K0` = K + 0.36×(M0 - M).

[0167] Specifically, the aging treatment refers to the process of heating the degassed coating through a heating device. The heating device is a device that transfers heat energy to objects and spaces through electric energy, fuel combustion, electromagnetic induction, and other energy forms. The type of the heating device is not limited in this embodiment. The aging time L refers to the duration of the aging treatment of the degassed coating under heating. The preset aging time L0 refers to the standard time reference value required for the preset aging treatment. The ultrasonic instrument refers to a class of devices designed and manufactured using ultrasonic characteristics. The type of the ultrasonic instrument is not limited in this embodiment. The coating hardness K refers to the quantitative index of the coating surface's resistance to deformation caused by external forces. The preset coating hardness K0 refers to the target coating hardness value preset in advance. The optimized preset aging time L0` refers to the re-set aging duration after adjusting the preset aging time L0. The coating thickness M refers to the vertical distance from the surface of the object being coated to the outer surface of the coating. The minimum preset coating thickness M1 refers to the minimum allowable coating thickness value preset in advance. The maximum preset coating thickness M2 refers to the maximum allowable coating thickness value preset in advance. The preset coating thickness refers to the target coating thickness value preset in advance. The preset coating hardness after optimization and improvement K0` refers to the target hardness value preset in advance after optimizing the degassed coating.

[0168] Specifically, the aging treatment and real-time monitoring technology in step S5 significantly improve the anti-fouling and flashover performance of the coating by precisely controlling the cross-linking reaction conditions, real-time monitoring the viscosity and cross-linking degree, dynamically calibrating the process conditions, eliminating internal stress and preventing under-aging and over-aging problems, ensuring product stability and batch consistency. This technology shortens the production cycle, reduces energy consumption, decreases the defective rate and rework cost through intelligent temperature control and data feedback. The multi-parameter collaborative monitoring and abnormal warning mechanism enhance process safety. The complete data record supports quality traceability and compliance requirements. The flexible parameter adjustment ability supports customized production and new product R & D. The efficient energy utilization and waste reduction conform to the concept of green manufacturing, comprehensively improving the production efficiency and product quality of the enterprise.

[0169] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

Claims

1. A preparation method for increasing the silicone rubber content in a common anti-fouling and flashover coating, characterized in that, The preparation method comprises: Step S1, pretreating the block silicone rubber according to a silicone rubber pretreatment method to obtain dispersed silicone rubber particles, and monitoring the pretreatment process in real time; Step S2, obtaining the formula materials of common anti-fouling flashover coatings to obtain the formula materials; Step S3, mixing the dispersed silicone rubber particles with the formulated material to obtain a mixed coating, and monitoring the mixing process in real time; Step S4, performing degassing treatment on the mixed coating to obtain a degassing coating, and performing feedback monitoring on the degassing coating; Step S5, performing a curing treatment on the degassing coating to obtain a high-silicon rubber anti-fouling flashover coating, and monitoring the curing treatment in real time.

2. The preparation method for increasing the silicone rubber content in the ordinary anti-fouling and flashover coating according to claim 1, characterized in that, In the step S1, when pre-treating the block silicone rubber, the block silicone rubber is cut using a cutting tool to obtain silicone rubber particles, the silicone rubber particles are placed in a toluene solution to obtain a dispersion, the dispersion is dispersed using an ultrasonic cleaning machine to obtain a toluene silicone rubber particle liquid, γ-acryloxypropyltrimethoxysilane is added to the toluene silicone rubber particle liquid to obtain a dispersion, the dispersion is subjected to a constant temperature water bath treatment, and a first stirring treatment is performed during the constant temperature water bath treatment to obtain a stirred liquid, ethanol is added to the stirred liquid, the stirred liquid is washed to obtain a washing liquid, the washing liquid is filtered to obtain filtered particles, and the filtered particles are placed in a vacuum drying oven for drying until the filtered particles reach a constant weight to obtain dried silicone rubber particles, and the mass of the block silicone rubber is set as Mk, the mass of the γ-acryloxypropyltrimethoxysilane is set as Mw, the temperature of the constant temperature water bath treatment is set as Th, the stirring speed of the first stirring treatment is set as Vj, the stirring time of the first stirring treatment is set as tj, and the drying temperature of the drying treatment is set as Tg, wherein: 0.01Mk≤Mw≤0.05Mk; Th=60℃; Vj=200r / min; tj = 2h; Tg=80℃.

3. The preparation method for increasing the silicone rubber content in the ordinary antifouling flashover coating according to claim 2, characterized in that, When the pretreatment process is monitored in real time in step S1, the ultrasonic dispersion time is acquired in real time to obtain the ultrasonic dispersion time B, the preset ultrasonic dispersion time is set as B0, the ultrasonic dispersion time B is compared with the preset ultrasonic dispersion time B0, and whether the ultrasonic dispersion time B meets the standard is judged according to the comparison result, and the dispersion process is controlled according to the judgment result, wherein: When B<B0, it is determined that the ultrasonic dispersion time B does not reach the preset ultrasonic dispersion time B0, and the ultrasonic dispersion time B does not meet the standard, and the dispersion process is controlled and the dispersion process is continued; When B≥B0, it is determined that the ultrasonic dispersion time B reaches the preset ultrasonic dispersion time B0, and the ultrasonic dispersion time B meets the standard, and the dispersion process is controlled and the dispersion process is stopped; In step S1, when performing real-time monitoring of the pretreatment process, the average particle size of the silicone rubber particles is also obtained in real time by a laser particle size analyzer to obtain the average particle size A of the silicone rubber particles, and the preset average particle size of the silicone rubber particles is set as A0. The average particle size A of the silicone rubber particles is compared with the preset average particle size A0 of the silicone rubber particles, and whether the average particle size A of the silicone rubber particles meets the standard is judged according to the comparison result, and the dispersion treatment process is adjusted according to the judgment result, wherein: When A≤A0, it is determined that the average particle size A of the silicone rubber particles reaches the preset average particle size A0 of the silicone rubber particles, and the average particle size A of the silicone rubber particles meets the standard, and the dispersion treatment process is adjusted to stop the dispersion treatment; When A > A0, it is determined that the average particle size A of the silicone rubber particles does not reach the preset average particle size A0 of the silicone rubber particles, and the average particle size A of the silicone rubber particles does not meet the standard. The preset ultrasonic dispersion time B0 is adjusted, and the adjusted preset ultrasonic dispersion time is set as B0`. is an adjustment coefficient.

4. The preparation method for increasing the silicone rubber content in the ordinary antifouling flashover coating according to claim 1, characterized in that, In step S3, when the dry silicone rubber particles are mixed with the formula materials of the common anti-fouling flashover coating, the dry silicone rubber particles are surface activated to obtain active silicone rubber particles, the active silicone rubber particles and the solvent are subjected to a second stirring treatment in a reactor equipped with a stirring device to obtain a silicone rubber dispersion, nano-sized titanium dioxide and fumed silica are added to the silicone rubber dispersion to perform a third stirring treatment to obtain a dispersed coating, the base material and the filler are added to the dispersed coating to perform a fourth stirring treatment to obtain a mixed coating, the auxiliary additives are added to the mixed coating to perform a stirring reaction treatment to obtain a mesh coating, the mesh coating is naturally cooled until the temperature of the mesh coating is reduced to room temperature, the second stirring treatment speed is set to D2, the second stirring treatment time is set to t2, the third stirring treatment speed is set to D3, the third stirring treatment time is set to t3, the fourth stirring treatment speed is set to D4, the fourth stirring treatment time is set to t4, the stirring reaction treatment temperature is set to Qf, the stirring reaction treatment speed is set to Df, and the stirring reaction treatment time is set to tf, wherein: D2=300r / min-400r / min; t2 = 30 min; D3=D2=300r / min-400r / min; t3 = 60 min; D4=600r / min-800r / min; t4 = 90 min; Qf=50-80℃; Df=D4=600r / min-800r / min; tf=150min.

5. The preparation method for increasing the silicone rubber content in a common anti-fouling flashover coating according to claim 4, characterized in that, In step S3, when the mixing process is being monitored in real time, the viscosity of the mixed coating is monitored in real time by the viscosity rotor sensor to obtain the viscosity Cn of the mixed coating, set the minimum preset viscosity as C1, the maximum preset viscosity as C2, and compare the mixed coating viscosity Cn with the preset coating viscosity. According to the comparison result, it is judged whether the viscosity Cn of the mixed coating in the second stirring process meets the standard, and the second stirring speed D2 is optimized according to the judgment result, wherein: Setting the preset coating viscosity includes a minimum preset viscosity C1 and a maximum preset viscosity C2; When C1<Cn≤C2, it is determined that the mixed coating viscosity Cn reaches the preset coating viscosity, the mixed coating viscosity Cn meets the standard, and the second stirring process speed D2 is not optimized; When Cn ≤ C1, it is determined that the viscosity Cn of the mixed coating is lower than the preset coating viscosity, and the viscosity Cn of the mixed coating does not meet the standard. Optimize the speed D2 of the second stirring process, increase the speed D2 of the second stirring process, and set the optimized stirring speed as D`, D` = (1 + C / C0) × D2; When Cn > C2, it is determined that the viscosity Cn of the mixed coating is higher than the preset coating viscosity, and the viscosity Cn of the mixed coating does not meet the standard. Optimize the speed D2 of the second stirring process, decrease the speed D2 of the second stirring process, and set the optimized stirring process speed as D`, D` = D2 - 5.23 × (C0 - C) / C0; When performing real-time monitoring of the mixing process in step S3, the degree of crosslinking of the silicone rubber in the mixing process is also obtained in real time through a Fourier transform infrared spectrometer combined with an optical fiber probe, and the crosslinking degree value E is obtained. Set the lowest preset crosslinking degree value as E1 and the highest preset crosslinking degree value as E2. Compare the crosslinking degree value E with the preset crosslinking degree value, and judge whether the crosslinking degree value E meets the standard according to the comparison result, and adjust the lowest preset viscosity C1 and the highest preset viscosity C2 according to the judgment result, where: Set the preset crosslinking degree value to include the lowest preset crosslinking degree value E1 and the highest preset crosslinking degree value E2; When E1 ≤ E ≤ E2, it is determined that the crosslinking degree value E reaches the preset crosslinking degree value, and the crosslinking degree value E meets the standard, and no adjustment is made to the mixing process; When E<E1, it is determined that the crosslinking degree value E is less than the minimum preset crosslinking degree value E1, and the crosslinking degree value E does not meet the standard. The mixing process is adjusted and the minimum preset viscosity after adjustment is set to C1', C1'=|α-1|×Cn, α is the temperature coefficient, α=1.48-0.2×e -0.1×E , 1.28≤α≤1.48; When E > E2, it is determined that the crosslinking degree value E is greater than the highest preset crosslinking degree value E2, and the crosslinking degree value E does not meet the standard. Adjust the mixing process, and set the adjusted highest preset viscosity as C2`, C2` = α × Cn; When performing real-time monitoring of the mixing process in step S3, the temperature of the mixing process is also monitored through a temperature sensor to obtain the mixing temperature F. Set the lowest preset mixing temperature as F1 and the highest preset mixing temperature as F2. Compare the mixing temperature F with the preset mixing temperature, and judge whether the mixing temperature F meets the standard according to the comparison result, and optimize the lowest preset crosslinking degree value E1 and the preset highest crosslinking degree value E2 according to the judgment result, where: Set the preset mixing temperature to include the lowest preset mixing temperature F1 and the highest preset mixing temperature F2; When F1 ≤ F ≤ F2, it is determined that the mixing temperature F reaches the preset mixing temperature, and the mixing temperature F meets the standard, and no optimization is made to the preset crosslinking degree value; When F < F1, it is determined that the mixing temperature F is lower than the lowest preset mixing temperature F1, and the mixing temperature F does not meet the standard. Optimize the lowest preset crosslinking value E1, and set the adjusted lowest preset crosslinking value as E1`, where E` = |β - 1| × E, β is the temperature coefficient, and β = 1.37 - 0.1 × e -0.2×F , and repeat the process of adjusting the lowest preset viscosity C1 and the highest preset viscosity C2 according to the adjusted lowest preset crosslinking value E1`; When F > F2, it is judged that the mixing temperature F is higher than the highest preset mixing temperature, and the mixing temperature F does not meet the standard. Optimize the highest preset crosslinking value E2, and set the adjusted highest preset crosslinking value as E2`, E2` = β × E, and repeat the process of adjusting the lowest preset viscosity C1 and the highest preset viscosity C2 according to the adjusted lowest preset crosslinking value E2`; When the step S3 monitors the mixing process in real time during the mixing process, it also obtains the optimized stirring speed to get the optimized stirring speed D`, sets the lowest preset stirring speed as D1`, sets the highest preset stirring speed as D2`, compares the optimized stirring speed with the preset stirring speed, judges whether the optimized stirring speed D` meets the standard according to the comparison result, and judges whether it is necessary to adjust and improve the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment according to the comparison result, and improves the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment according to the judgment result, where: Setting the preset stirring speed includes the lowest preset stirring speed D1` and the highest preset stirring speed D2`. When D1` ≤ D` ≤ D2`, it is determined that the optimized stirring speed D` is within the preset stirring speed range, the optimized stirring speed D` meets the standard, and the optimized stirring speed D` and the preset average particle size A0 of the silicone rubber particles in the silicone rubber pretreatment are not improved; When D` < D1`, it is judged that the optimized stirring speed D` is lower than the lowest preset stirring speed D`, the optimized stirring speed D` does not meet the standard, and the optimized stirring speed D` is improved to make it reach the appropriate range of D1` ≤ D` ≤ D2`; When D` > D2`, it is judged that the optimized stirring speed D` is higher than the highest preset stirring speed, the optimized stirring speed D` does not meet the standard, the preset silicone rubber particle size A0 is improved, the optimized preset silicone rubber particle size is set as A0`, the preset stirring speed is D0`, and A0` = (D` / D0`) × A0.

6. The method for increasing the content of silicone rubber in ordinary anti-fouling flashover coating according to claim 1, characterized in that: When the step S4 conducts feedback monitoring on the defoamed coating, the bubble content in the defoamed coating is obtained through a camera to get the bubble residue amount G, the preset bubble residue amount is set as G1, the bubble residue amount G is compared with the preset bubble residue amount G1, and it is judged whether the bubble residue amount G is qualified according to the comparison result, and the optimized stirring speed and the addition amount of γ-methacryloyloxypropyltrimethoxysilane are corrected by observing the bubble distribution and size according to the judgment result, where: When G ≤ G1, it is determined that the bubble residue amount G is less than the preset bubble residue amount G1, the bubble residue amount is qualified, and the optimized stirring speed D` is not corrected; When G > G1, it is determined that the bubble residue amount G is greater than the preset bubble residue amount G1, the bubble residue amount is unqualified, and the bubble residue amount G is too high. At this time, observe the distribution and size of the bubbles, where: When the bubbles are evenly distributed and of the same size in the defoamed coating, the optimized stirring speed D` is corrected, and D`` is set as the corrected stirring speed, D`` = 0.73 × D`; When the bubbles are concentrated around the silicone rubber particles and less in other areas, the addition amount of γ-methacryloyloxypropyltrimethoxysilane in the pretreatment stage is increased to 6% - 9%.

7. The method for increasing the content of silicone rubber in ordinary anti-fouling flashover coating according to claim 6, characterized in that: When performing feedback monitoring on the degassed coating in step S4, the ambient temperature H is also monitored through a temperature sensor. The preset ambient temperature is set as H1. The ambient temperature H is compared with the preset ambient temperature H1. According to the comparison result, it is judged whether the ambient temperature H meets the standard for updating, and the preset bubble residue amount G1 is updated according to the judgment result, where: When H ≤ H1, it is determined that the ambient temperature H is less than the preset ambient temperature H1, and the ambient temperature H meets the standard without updating the preset bubble residue amount G1; When H > H1, it is determined that the ambient temperature H is higher than the preset ambient temperature H1, the ambient temperature H does not meet the standard, the preset bubble residue amount G1 is updated, and the updated preset bubble residue amount is set as G1`, G1` = G1 × ω, where ω is the ambient temperature coefficient.

8. The preparation method for increasing the silicone rubber content in a common antifouling and flashover coating according to claim 7, characterized in that, When performing feedback monitoring on the degassed coating in step S4, the size of the remaining bubbles is also monitored through a camera, and the average size J of the remaining bubbles is obtained. The preset average size of the bubbles is set as J0. The average size J of the remaining bubbles is compared with the preset average size J0 of the bubbles. According to the comparison result, it is judged whether the average size J of the remaining bubbles meets the standard, and the preset ambient temperature H1 is corrected according to the judgment result, where: When J ≤ J0, it is determined that the average size J of the remaining bubbles is less than the preset average size J0 of the bubbles, and the average size of the remaining bubbles meets the standard without correcting the preset ambient temperature H1; When J > J0, it is determined that the average size J of the remaining bubbles is greater than the preset average size J0 of the bubbles, and the average size of the remaining bubbles does not meet the standard. The corrected preset ambient temperature is set as H1`, and the preset ambient temperature H1 is corrected so that H > H1`.

9. The method for increasing the content of silicone rubber in common anti-fouling flashover coating according to claim 1, characterized in that: When performing real-time monitoring on the curing process in step S5, the curing time L is obtained. The preset curing time is set as L0. The curing time L is compared with the preset curing time L0. According to the comparison result, it is judged whether the curing time L meets the standard, and the curing process is optimized and controlled according to the judgment result, where: When L < L0, it is determined that the curing time L does not reach the preset curing time L0, and the curing time L meets the standard. There is no need to perform optimization control and the curing process continues; When L ≥ L0, it is determined that the curing time L reaches the preset curing time L0, and the curing time L does not meet the standard. Optimization control is required to stop the curing process.

10. The method for increasing the content of silicone rubber in common anti-fouling flashover coating according to claim 9, characterized in that: When performing real-time monitoring on the curing process in step S5, the hardness K of the coating is also monitored through an ultrasonic instrument. The preset hardness of the coating is set as K0. The hardness K of the coating is compared with the preset hardness K0 of the coating. According to the comparison result, it is judged whether the hardness K of the coating meets the standard, and the preset curing time L0 and the curing process are optimized and adjusted according to the judgment result, where: When K < K0, it is determined that the hardness K of the coating does not reach the preset hardness K0 of the coating, and the hardness K of the coating does not meet the standard. The preset minimum curing time L0 needs to be optimized and adjusted, and the curing process is not optimized and adjusted. The optimized preset curing time is set as L0`, L0` = (K0 / (K - K0)) × L0; When K ≥ K0, it is determined that the hardness K of the coating reaches the preset hardness K0 of the coating, and the hardness K of the coating meets the standard. The curing process needs to be optimized and adjusted, and the preset minimum curing time L0 is not optimized and adjusted, and the curing process is stopped; When the step S5 monitors the aging treatment in real time, it also obtains the coating thickness to get the coating thickness M. The minimum preset coating thickness is set as M1, and the maximum preset coating thickness is set as M2. The coating thickness M is compared with the preset coating thickness, and the compliance of the coating thickness M is judged according to the comparison result. Then, the preset coating hardness K0 is optimized and improved according to the judgment result, where: Setting the preset coating thickness includes the minimum preset coating thickness M1 and the maximum preset coating thickness M2; When M1 ≤ M ≤ M2, it is determined that the coating thickness M is within the preset coating thickness range, and the coating thickness M meets the standard, and the preset coating hardness K0 is not optimized and improved; When M < M1, it is determined that the coating thickness does not reach the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0. The preset coating hardness after optimization and improvement is set as K0`, and K0` = K - 0.77×M; When M > M2, it is determined that the coating thickness exceeds the preset coating thickness range, and the coating thickness M does not meet the standard. It is necessary to optimize and improve the preset coating hardness K0, and K0` = K + 0.36×(M0 - M).

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