7801 results about "Woven fabric" patented technology

A graphene-infused fabric is provided as a sound reducing acoustic layer for object such as a pickleball paddle. The graphene-infused fabric is made from polymer fibers, at least one of which is a graphene-infused polymer fiber. Graphene is blended into a polymer material, and fibers are manufactured from said material such as by extrusion. The graphene-infused polymer is combined with other fibers to be made into a woven or non-woven fabric.

The invention discloses a textile production defect detection method and system based on image processing, and belongs to the field of textile defect detection. According to the method, the point cloud data is generated by collecting the surface deformation stripes, and the penetrability reflection signal containing the sound wave propagation time is obtained through the multi-frequency ultrasonic probe. Denoising the point cloud data and then positioning a surface deformation candidate area based on a curvature gradient and a normal vector deflection angle; and an internal abnormal region is determined by separating and extracting a reflection wave amplitude value and a time delay parameter through an ultrasonic frequency band. And matching the surface point cloud coordinates with the ultrasonic propagation time by adopting an iterative nearest point algorithm to establish feature association between the normal vector deflection angle and the reflected wave amplitude. And dynamically distributing fusion weights for the surface features and the internal features according to the curvature gradient change rate and the amplitude attenuation rate to generate a multi-modal defect distribution diagram. And geometric shape and reflection intensity parameters are extracted and matched with a preset defect template to realize type and position judgment, and the method can be suitable for production defect detection of the thick textile with a multi-layer composite material structure.

The invention discloses a textile design optimization method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a textile processing digital twinborn model; multi-modal data acquisition and feature fusion: providing data input by deploying a sensor array and fusing features; simulation and deduction are carried out based on a digital twinborn model, a diagnosis result of the state sensing module is used as model input, the predictive control module carries out advanced simulation and optimization calculation by using a prediction model, and the collaborative scheduling module realizes global optimization based on the model and outputs a precise control instruction; and executing the precise control instruction, returning the executed real data as feedback, and updating and correcting the S1 digital twinborn model to form a closed loop. According to the method, refinement, real-time adaptive optimization and efficient cooperative control of the textile processing process can be achieved, the processing quality and consistency are remarkably improved, the waste and defective rate is reduced, and the method has the self-evolution capacity.

The invention relates to the technical field of textiles. The invention discloses a textile dyeing uniformity detection system, a detection method and a dyeing method. The device comprises a light source supply device which is arranged above a textile and is used for providing light sources with two wavelengths and generating monochromatic coherent light, a dielectric layer supply device for forming a uniform dielectric layer, a reflective light path device for splitting beams and guiding the beams to form an interference area, and an image acquisition device for acquiring interference fringe images, the angle adjusting device is used for adjusting irradiation and acquisition angles; and the image processing device is used for analyzing signals and identifying non-uniform dyeing areas and flaws. A high-precision detection system is constructed, the light source and the dielectric layer cooperate to realize micron-sized defect recognition, the visibility of interference fringes is improved to 0.8 or above, and the dynamic tension frame guarantees the precision. The reflective light path and angle adjusting device adapts to a complex environment, a detection method and a dyeing method are cooperated, and through pretreatment, quantitative analysis and multi-dimensional verification, the misjudgment rate is greatly reduced, and the detection speed adapts to production.

The invention provides a PVDF (Polyvinylidene Fluoride) nanofiltration membrane constructed on the basis of microwave-enhanced bridging interfacial polymerization as well as a preparation method and application of the PVDF nanofiltration membrane. The method comprises the following steps: reacting PVDF powder with an organic alkali to prepare a modified film-forming solution, blade-coating the modified film-forming solution on a non-woven fabric supporting layer, placing the non-woven fabric supporting layer in an ethanol-water or methanol-water coagulating bath, and preparing a PVDF supporting film by virtue of assistance of an ice template; weighing the functionalized nano material and an amino silane coupling agent, performing ultrasonic dispersion, and adding a catalyst for reaction to obtain dispersion liquid; immersing a PVDF support membrane into the dispersion liquid to obtain a modified membrane; immersing the modified membrane into an aqueous solution containing an amine monomer and an organic solution containing an acyl chloride monomer, and carrying out microwave radiation. The interface reaction rate and selectivity are enhanced through the microwave excitation effect, and meanwhile, the hydrophilicity and reaction activity of the PVDF base membrane are cooperatively regulated and controlled, so that the separation efficiency and the anti-pollution capacity of the membrane are remarkably improved. The obtained PVDF nanofiltration membrane has high flux, high selectivity and excellent structural stability, and is suitable for efficient purification and resource recovery application in a complex water system.

The present application discloses a shapewear garment comprising an upper, middle, and lower portion, along with an abdominal compression panel. The upper portion wraps around the wearer's chest and upper back. The middle portion, positioned below the upper, comprises an abdominal and lower back covering. The lower portion extends around the wearer's front crotch area and buttocks. The abdominal compression panel, combined with the abdominal covering, has a higher modulus of elasticity than the other portions. A bust support area on the upper portion's outer surface features greater textile tension than surrounding areas.

The invention relates to the technical field of textile detection, in particular to a computer-aided textile color fastness prediction method, which comprises the following steps: acquiring multi-source data before and after a textile color fastness test through computer control equipment, including digital images, reflection spectrum data, process parameters and dye characteristic component data, carrying out pretreatment; extracting color difference features and spectrum similarity features, and screening by adopting a dimension reduction algorithm to form a core feature vector; a machine learning algorithm is adopted to construct a color fastness prediction model, parameters are optimized in combination with cross validation and an early stop mechanism, model fine tuning is executed, and a final optimization model is obtained; and outputting a color fastness grade prediction result, and carrying out spectrum similarity secondary verification. According to the method, objective, efficient and high-precision prediction of the color fastness grade of the textile is realized, and the problems of high subjectivity and low efficiency of traditional manual evaluation are solved.

The invention provides a textile surface defect detection method and system based on image features, and relates to the technical field of textile surface defect detection.The method comprises the steps that an RGB image of a to-be-detected textile is obtained and zoomed to 512 * 512 pixels, and then at least five semantic tags are output through a semantic segmentation model; the method comprises the following steps: adopting hyperspectral imaging with the wavelength of 400-1700 nm and the resolution of 10 nm, calculating the pixel reflectivity through a reflectivity formula, comparing the reflectivity of 5-8 characteristic wavebands, marking as a pollutant if the average deviation exceeds a threshold value, matching the type and position of a stain with a spectral angular distance, and after a standard sample and a semantic region are converted into an LAB color space, extracting a minimum rotation enclosing rectangle and dividing a grid, invalid pixels are filled with 3 * 3 neighborhood effective pixel weighted mean values, and a grid LAB mean value is calculated. A grid pollutant pixel corresponding to an image to be detected is filled with a standard sample in a mean value mode, then channels A and B are clustered through a sliding window, a pilling area is preliminarily judged according to the standard deviation of a channel L, and the pilling area is confirmed by combining the structured light three-dimensional point cloud and comparing with a threshold value.

The invention belongs to the field of functional textile materials, and provides a directional moisture-conducting, dry, comfortable, breathable and quick-dry fabric and a preparation method thereof. A three-layer composite structure design is adopted, the outer layer is a gradient wetting structure formed by attaching a thermoplastic polyurethane film subjected to single-face thermal orientation treatment and knitted fabric, the middle layer is a hydrophilic non-woven fabric, the inner layer is a knitted fabric subjected to hydrophilic finishing, and the two layers are compounded through a hot melt adhesive dot-shaped net. Hydrophilic blocks of the thermoplastic polyurethane film are directionally enriched through single-face contact heating, gradient distribution with one hydrophilic side and one hydrophobic side is formed, and the hydrophobic surface is coated with a low-surface-energy coating. The fabric has excellent one-way moisture conduction performance, moisture can be rapidly transmitted from the inner layer to the outer layer and rapidly volatilized, dryness and comfort of the close-fitting fabric are kept, meanwhile, the fabric has good air permeability and quick-drying performance, the moisture conduction rate is increased by 30% or above compared with that of traditional fabric, and the fabric is suitable for being popularized and applied. The fabric has wide application value in the fields of sportswear, outdoor equipment, leakage-proof underpants and the like.

The invention belongs to the field of flame-retardant finishing of textiles, and discloses a phytic acid-based flame retardant and a preparation method of a flame-retardant cotton fabric. Natural phytic acid, polyethylene glycol, melamine and metal salt are used as main raw materials, the environment-friendly characteristic of a biomass material is combined, an efficient and environment-friendly flame retardant is prepared, the prepared flame retardant is arranged on a cotton fabric through a traditional impregnation method, and the flame retardance and smoke suppression performance of the arranged cotton fabric are greatly improved. The method not only has a good flame retardant effect, but also avoids potential hazards of a traditional flame retardant to the environment and human health, and has a wide application prospect. The flame-retardant cotton fabric can be widely applied to the fields of household textiles, protective clothing, fire-fighting equipment and the like, and has remarkable economic benefits and social benefits. The invention not only provides an efficient and environment-friendly flame retardant preparation method, but also opens up a new way for application of biomass materials in the field of flame retardance, and has important scientific significance and practical value.

The invention relates to the technical field of microbial culture, and provides a culture device for agricultural microbial agent production and a use method, the culture device comprises a culture box, and the top of the culture box is hermetically and detachably provided with a box cover. According to the device, the air pump is controlled by the controller to be started, so that the air pressure in the closed space is increased, the air passes through the non-woven fabric and the polymer microporous membrane, more tiny bubbles can be generated under the action of the polymer microporous membrane, a nutrient solution flows and is mixed, and the stirring effect on the nutrient solution is achieved; a nutrient solution in the incubator flows into the culture dish through the liquid discharge pipe, so that the stirring of the nutrient solution and the injection of the nutrient solution into the culture dish to be mixed with a microbial inoculum can be completed without using more structural components, the operation is simple, and the condition of pollution caused by improper cleaning is avoided; therefore, the subsequent microbial agent culture effect is improved.

Aspects herein are directed to textile that includes a first layer formed from a first plurality of yarns or fibers. The first layer includes a first set of apertures, each aperture having a first opening size. The textile further includes a second layer formed from a second plurality of yarns or fibers. The second layer includes a second set of apertures. Each aperture in the second set of apertures is axially aligned with a corresponding aperture in the first set of apertures. Each aperture in the second set of apertures has a second opening size that is smaller than the first opening size of apertures in the first set of apertures. The first layer is relatively more hydrophilic than the second layer.

The invention relates to the technical field of reverse osmosis membrane supports, in particular to a polyester non-woven fabric and a preparation method and application thereof.The preparation method comprises the steps that S1, polyester main body fibers and polyester adhesive fibers are used as raw materials to prepare high-quantitation original cloth M0 and low-quantitation original cloth H0; carrying out hot pressing pretreatment on the H0 to obtain a product H0 '; s2, overlapping and hot-pressing M0 and H0 'to obtain a composite non-woven fabric M1H1; s3, the M1H1 is impregnated with a functional solution, and the functional solution contains para-aramid nanofibers and nano calcium carbonate modified by hexadecyl trimethyl ammonium bromide; and then carrying out cold pressing on the composite non-woven fabric impregnated with the functional solution to obtain the nano-material modified composite non-woven fabric. And S4, carrying out secondary hot pressing treatment to obtain the polyester non-woven fabric. The polyester non-woven fabric can effectively avoid the problems of excessive curling, excessive permeation of a polysulfone solution and the like during curing after being coated with polysulfone, and is more beneficial to application in a reverse osmosis membrane.

Athletic and / or work wear garment can have textile regions of differing friction to facilitate maintaining a grip between high friction textile regions and objects pressed against the high friction textile regions. In some embodiments, the high friction textile regions can facilitate carrying objects. In some embodiments, the garment can be a shirt. In some embodiments, the garment can be pants. In some embodiments, the garment can be an undergarment and the high friction textile regions can reduce shifting of an outer garment in contact with the undergarment.

The invention discloses an antibacterial non-woven fabric and a preparation process thereof, and belongs to the technical field of non-woven fabrics. Comprising the following raw materials in parts by weight: 60-70 parts of polypropylene resin, 10-20 parts of modified bamboo fibers, 5-8 parts of chitosan and 0.5-1.5 parts of an antioxidant. The chitosan and the bamboo fiber have certain antibacterial property, so that the antibacterial property of the non-woven fabric is improved; by modifying the bamboo fibers, the antibacterial performance of the non-woven fabric is remarkably improved, the compatibility of the bamboo fibers and a matrix is improved, meanwhile, micromolecular organic chains are grafted to the bamboo fibers, the migration resistance and seepage resistance of antibacterial components are remarkably improved, and the problems that according to a traditional coating method, falling is prone to occurring, and washing is not durable are solved; the bamboo fiber and the chitosan in the raw materials are natural and renewable materials and are environmentally friendly; in conclusion, the prepared non-woven fabric has stable and efficient antibacterial property, is environmentally friendly and has important application value in the technical field of non-woven fabrics.

The invention discloses a multi-stage flow guide double-sided anisotropic sanitary surface layer spunlace material and a preparation method thereof, and relates to the technical field of textile manufacturing. The preparation method of the sanitary surface layer spunlace material comprises the following steps: opening, carding and cross lapping a fiber raw material to obtain a front surface fiber web and a back surface fiber web, overlapping the front surface fiber web and the back surface fiber web in a manner that the front surface is on the upper side and the back surface is on the lower side, performing spunlace reinforcement, finishing after reinforcement, and finally drying and winding to obtain the sanitary surface layer spunlace material. Wherein the front fiber net is made of all-cotton fibers, and the gram weight is 30-50 g / m < 2 >; the reverse side fiber net is made of mixed fibers, and the gram weight is 40-60 g / m < 2 >; the reverse fiber net is obtained by mixing modified regenerated cellulose fibers, polyurethane fibers and bamboo pulp fibers according to the mass ratio of (10-30): (5-10): 100.

The invention discloses a preparation method and application of washable tin-based perovskite quantum dots, and the preparation method comprises the following steps: mixing cesium iodide powder, tin iodide powder and mesoporous silica powder, and then placing the mixture in a plasma ball mill for ball-milling diffusion, cesium iodide and tin iodide react in a confinement space of mesoporous silica to generate a CsSn I < 3 >-coated SiO2 composite structure, CsSn I < 3 > quantum dots are dispersed and coated in the mesoporous silica, and the application of the tin-based perovskite quantum dots in the anti-ultraviolet textile fabric is provided. The method has the following beneficial effects that the purpose of remarkably improving the stability of the tin-based perovskite quantum dots and the washing resistance of the textile is achieved.

The invention relates to the field of textile detection, and discloses a fabric flame retardance analysis method based on infrared thermal imaging sensing data, which comprises the following steps: performing non-contact temperature measurement on a fabric sample in a controlled heat shock disturbance field, acquiring an infrared imaging signal sequence, and performing energy projection rearrangement on the infrared imaging signal sequence; based on the discontinuous change of the energy flow density in the primary thermal behavior field, establishing a boundary disturbance model of a local overheating region, and comparing the morphological difference between a thermal expansion path and a radiation energy attenuation region; mapping the heat potential difference of each region in the critical response diagram into an energy constraint state inside the material, and deducing time bias distribution of energy conduction; introducing a spectrum equalization function under time offset distribution, and executing asymmetric compensation on local abnormal points of the infrared response data; and based on the decomposition threshold dynamic trajectory, calculating a flame-retardant response equilibrium rate and an energy flow retention rate, and forming a flame-retardant performance evaluation index. The method has the advantage of improving the accuracy of flame retardant detection.

The invention relates to the field of textile production, and discloses an intelligent control method for a textile finished product production line, which comprises the following steps: acquiring a textile surface image through a camera array to obtain textile surface image data; performing fiber arrangement density analysis on the textile surface image data to obtain fiber arrangement density difference data; according to the yarn gap distribution characteristic extraction method and device, environmental factors are monitored and compensated in real time through the temperature and humidity correlation deformation correction coefficient, it is ensured that under different environmental conditions, fabric tension is kept stable, the product quality and the production stability are further improved, and the yarn gap distribution characteristic data are obtained. An equipment cooperative control model constructed by using a depth deterministic strategy gradient algorithm realizes real-time speed adjustment and tension compensation of the textile machinery group through edge computing nodes, and the collaboration and automation level of the production process are effectively improved.

The invention provides a method for promoting acquisition of clean fuel by light / sound concerted catalytic degradation of waste plastics and upgrading and conversion thereof, which comprises the following steps: uniformly mixing g-C3N4, cadmium acetate and thioacetamide according to a predetermined proportion, pouring into a reaction kettle, placing in a high-temperature oven for a predetermined time, centrifuging, cleaning and drying to obtain a catalyst, the method comprises the following steps: loading a catalyst on the surface of aerogel, hydrogel or non-woven fabric to obtain an MTSJA-loaded catalyst, treating waste plastic with NaOH, adding the MTSJA-loaded catalyst, stirring under irradiation of a xenon lamp, starting ultrasound for reaction, and carrying out light / sound synergistic catalytic degradation on the waste plastic. According to the method, energy consumption is not needed, toxic and harmful gas is not generated, the purposes of energy conservation and environmental protection can be achieved, meanwhile, carbon dioxide in water can be catalytically reduced to generate clean energy such as methane in the process of degrading the waste plastic, and further obtaining of the energy is promoted.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

The invention relates to the technical field of production matching recommendation, in particular to a textile fabric online production recommendation system based on a knowledge graph, and the system comprises a knowledge graph construction module which is used for integrating and storing multi-dimensional information of textile fabrics, and constructing a textile fabric knowledge graph; the user demand receiving module is used for receiving cloth demand information input by a user, wherein the cloth demand information comprises cloth types and performance requirements; the recommendation algorithm module is used for analyzing the matching degree between the user demand and the cloth characteristics through a matching algorithm based on the knowledge graph, and recommending an optimal cloth production scheme for the user; and the scene analysis module is used for collecting related environment parameters of an expected application scene of a user, constructing an influence model between cloth performance and the environment parameters, evaluating performance of recommended cloth under a demand environment condition, and optimizing cloth recommendation according to an evaluation result. And the user can obtain the cloth recommendation which most meets the requirements.

The invention discloses a high-elasticity antibacterial yarn production control method and system, and relates to the technical field of textile manufacturing. The method comprises the following steps: acquiring tension, temperature, antibacterial agent distribution and other multi-dimensional state information, and generating a comprehensive performance evaluation index based on a feature projection and gating residual fusion model; the index is compared with target performance, and key influence parameters such as fiber arrangement unevenness and antibacterial agent application distribution density are identified; calling a process response model to generate a parameter adjusting strategy, and driving an adjusting device to adjust process variables such as tension and temperature through a control instruction; and finally, based on a stochastic gradient descent algorithm and in combination with an expert knowledge base, adjusting rules are periodically updated, and performance self-adaptive control is achieved. According to the method, the intelligence and robustness of regulation and control of the elasticity and the antibacterial performance of the yarn are improved, and the method is suitable for industrial production of high-end textiles such as medical yarn and intelligent wearing fabric.

The invention relates to a seatbelt webbing (10) for a seatbelt system of a motor vehicle, comprising a woven fabric of warp threads (11) and weft threads (12), where the woven fabric comprises a primary color in one or more base portions (13). The seat belt webbing includes at least one stripe having a different color and extending parallel to the warp yarns. Transition stripes are arranged at transitions from the base portion to the stripes, wherein the warp yarns of the base portion and stripes include base yarn counts. The transition stripe includes at least two warp yarns having a transition yarn count that is finer than the base yarn count.

The invention relates to the technical field of defect detection, and particularly discloses a defect visual detection device based on non-woven fabric processing, which comprises a machine body, conveying rollers for conveying non-woven fabrics are rotatably arranged on two sides of the machine body, a camera for visual detection is fixedly connected in the machine body, and the defect visual detection device further comprises a conveying assembly, the conveying assembly is arranged on the right portion of the machine body and used for intermittently conveying the non-woven fabric, a camera shoots an image to conduct visual detection when conveying is paused, through cooperation of the structures, the non-woven fabric can be kept in a static state during shooting, the non-woven fabric cannot be shot when the non-woven fabric shakes, and the non-woven fabric is not prone to shaking. Therefore, the situation that motion blurring occurs to an image collected by the camera, and the visual detection precision is affected is avoided, when traction is stopped, the conveying roller on the left side can slightly conduct unwinding, and therefore when static shooting is conducted, non-woven fabric deformation caused by tension is reduced, and the detection precision is further improved.

The utility model relates to the technical field of non-woven fabric processing, in particular to a non-woven fabric laminating device with a positioning function, which comprises a processing table, one end of the processing table is rotatably connected with a fabric unwinding frame and a protective film unwinding frame respectively, and the other end of the processing table is rotatably connected with a winding frame. First conveying rollers are rotationally connected between the cloth unwinding frame and the processing table, a first tensioning roller is rotationally connected between the first conveying rollers, and a spraying frame is connected to the surface of the processing table through bolts. According to the improved film laminating device, the limiting pieces sleeving the outer walls of the first conveying roller and the second conveying roller are matched with the scales on the surfaces of the roller bodies, the edges can be accurately positioned according to material specifications, material deviation is effectively avoided, and it is ensured that the positions of materials are accurate in the whole process from unwinding to winding; the cloth unwinding frame, the protective film unwinding frame and the winding frame are connected with the driving disc and the driven disc conveniently through the sleeving shaft, no complex tool is needed, the downtime is greatly shortened, and the production efficiency is improved.

To provide a synthetic resin canvas (and a method for producing the same) having cotton canvas appearance, stable in balance of warp and weft dimensions, and hardly causing dimensional change.SOLUTION: A synthetic-resin canvas having a mass of 360 to 800g / m2, the synthetic-resin canvas being obtained by providing a soft vinyl chloride-resin-impregnated coating layer on an entire surface of a fabric, wherein the fabric is a plain weave fabric, a twill weave fabric, or a satin weave fabric, and a 10% tensile stress in a widthwise direction of the synthetic-resin canvas is 90 to 110% of a 10% tensile stress in a processing direction. Especially, the fabric is composed of a short fiber spun yarn, a combination of a short fiber spun yarn and a long fiber multifilament bulky yarn, or a long fiber multifilament bulky yarn, and the difference between the total fineness per inch (dtex / inch) of the weft yarn group and the total fineness per inch (dtex / inch) of the warp yarn group is within ± 10%.SELECTED DRAWING: None

The invention discloses a green ecological energy-saving irrigation roof system and a using method thereof, and relates to the technical field of building roofs. A green ecological energy-saving irrigation roof system comprises a root blocking waterproof layer, a blind ditch structure layer, a non-woven fabric filter layer, a planting layer and a vegetation layer which are arranged on a roof from bottom to top, a rainwater collecting device is arranged in the blind ditch structure layer, an irrigation device is arranged on the planting layer, the rainwater collecting device is communicated with a water storage tank, and the water storage tank is communicated with the irrigation device through a water suction pump; a soil humidity sensor is arranged in the planting layer, the soil humidity sensor and the water suction pump are both connected with the controller, and the solar power supply device is used for supplying power to the water suction pump, the soil humidity sensor and the controller. The solar power supply device is arranged on the roof and used for supplying power to electric equipment in the whole roof system, power supply depending on mains supply is avoided, near-zero-energy-consumption operation is achieved, the building capacity and energy consumption self-balance requirements are met, and the purposes of environment friendliness and energy conservation are achieved.

The invention belongs to the technical field of functional finishing of textiles, and particularly relates to microcapsule emulsion with a pH indicating function, preparation of the microcapsule emulsion and application of the microcapsule emulsion in a textile finishing agent. The invention provides a preparation method of a microcapsule emulsion with a pH indication function, which comprises the following steps: reacting isocyanate with polyol to obtain a polyurethane prepolymer, mixing and dissolving the polyurethane prepolymer with a pH indicator solution, an acrylate monomer and an initiator to obtain an oil phase, and taking an aqueous solution of a polymer emulsifier as a water phase; then mixing and emulsifying the oil phase and the water phase, adding a chain extender, heating to carry out chain extension reaction, cross-linking to a certain degree to form a polyurethane-polyurea-polyacrylate hybrid shell layer on an oil-water interface, and coating a core material pH indicator to obtain the microcapsule emulsion with the pH indication function. According to the invention, the pH indicator is coated in the form of microcapsules for the first time, and industrial production and processing can be carried out.

The invention relates to a spunlace non-woven fabric dehumidification device, a control method and system thereof and a storage medium, and relates to the technical field of spunlace non-woven fabric dehumidification. The method comprises the steps that in response to a starting signal of a spunlace system, a centrifugal fan is controlled to work at preset power; a water vapor inlet pipe is controlled to be opened at an inlet through which water vapor enters, under the negative pressure effect of a centrifugal fan, the water vapor is introduced into a water vapor separation barrel for separation operation, primarily-separated water vapor and adsorbed water are obtained, and the relative difference value between the water vapor concentration in the primarily-separated water vapor and a preset upper limit concentration threshold value is obtained; the rotation direction and the rotation speed of the spiral blade are determined according to the relative difference value, and the rotation direction comprises clockwise rotation and anticlockwise rotation; and controlling the spiral blade to rotate according to the rotating speed and the rotating direction. The water vapor recovery device has the effect that the damage probability of the centrifugal fan is reduced while water vapor is recovered.