CN113845830A - Fingerprint-resistant coating of functional film for decorative film surface layer and preparation method thereof - Google Patents

Fingerprint-resistant coating of functional film for decorative film surface layer and preparation method thereof Download PDF

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CN113845830A
CN113845830A CN202111192082.0A CN202111192082A CN113845830A CN 113845830 A CN113845830 A CN 113845830A CN 202111192082 A CN202111192082 A CN 202111192082A CN 113845830 A CN113845830 A CN 113845830A
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feature
influence
fingerprint
parts
resistant coating
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茹正伟
任龙
周建清
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Changzhou Zhengbang Digital Technology Co ltd
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Changzhou Zhengbang Digital Technology Co ltd
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    • C—CHEMISTRY; METALLURGY
    • C09—DYES; PAINTS; POLISHES; NATURAL RESINS; ADHESIVES; COMPOSITIONS NOT OTHERWISE PROVIDED FOR; APPLICATIONS OF MATERIALS NOT OTHERWISE PROVIDED FOR
    • C09D—COATING COMPOSITIONS, e.g. PAINTS, VARNISHES OR LACQUERS; FILLING PASTES; CHEMICAL PAINT OR INK REMOVERS; INKS; CORRECTING FLUIDS; WOODSTAINS; PASTES OR SOLIDS FOR COLOURING OR PRINTING; USE OF MATERIALS THEREFOR
    • C09D175/00—Coating compositions based on polyureas or polyurethanes; Coating compositions based on derivatives of such polymers
    • C09D175/04—Polyurethanes
    • C—CHEMISTRY; METALLURGY
    • C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
    • C08J—WORKING-UP; GENERAL PROCESSES OF COMPOUNDING; AFTER-TREATMENT NOT COVERED BY SUBCLASSES C08B, C08C, C08F, C08G or C08H
    • C08J7/00—Chemical treatment or coating of shaped articles made of macromolecular substances
    • C08J7/04—Coating
    • C08J7/0427—Coating with only one layer of a composition containing a polymer binder
    • C—CHEMISTRY; METALLURGY
    • C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
    • C08J—WORKING-UP; GENERAL PROCESSES OF COMPOUNDING; AFTER-TREATMENT NOT COVERED BY SUBCLASSES C08B, C08C, C08F, C08G or C08H
    • C08J7/00—Chemical treatment or coating of shaped articles made of macromolecular substances
    • C08J7/04—Coating
    • C08J7/046—Forming abrasion-resistant coatings; Forming surface-hardening coatings
    • C—CHEMISTRY; METALLURGY
    • C09—DYES; PAINTS; POLISHES; NATURAL RESINS; ADHESIVES; COMPOSITIONS NOT OTHERWISE PROVIDED FOR; APPLICATIONS OF MATERIALS NOT OTHERWISE PROVIDED FOR
    • C09D—COATING COMPOSITIONS, e.g. PAINTS, VARNISHES OR LACQUERS; FILLING PASTES; CHEMICAL PAINT OR INK REMOVERS; INKS; CORRECTING FLUIDS; WOODSTAINS; PASTES OR SOLIDS FOR COLOURING OR PRINTING; USE OF MATERIALS THEREFOR
    • C09D7/00—Features of coating compositions, not provided for in group C09D5/00; Processes for incorporating ingredients in coating compositions
    • C09D7/40—Additives
    • C09D7/60—Additives non-macromolecular
    • C09D7/61—Additives non-macromolecular inorganic
    • C—CHEMISTRY; METALLURGY
    • C09—DYES; PAINTS; POLISHES; NATURAL RESINS; ADHESIVES; COMPOSITIONS NOT OTHERWISE PROVIDED FOR; APPLICATIONS OF MATERIALS NOT OTHERWISE PROVIDED FOR
    • C09D—COATING COMPOSITIONS, e.g. PAINTS, VARNISHES OR LACQUERS; FILLING PASTES; CHEMICAL PAINT OR INK REMOVERS; INKS; CORRECTING FLUIDS; WOODSTAINS; PASTES OR SOLIDS FOR COLOURING OR PRINTING; USE OF MATERIALS THEREFOR
    • C09D7/00—Features of coating compositions, not provided for in group C09D5/00; Processes for incorporating ingredients in coating compositions
    • C09D7/40—Additives
    • C09D7/60—Additives non-macromolecular
    • C09D7/61—Additives non-macromolecular inorganic
    • C09D7/62—Additives non-macromolecular inorganic modified by treatment with other compounds
    • C—CHEMISTRY; METALLURGY
    • C09—DYES; PAINTS; POLISHES; NATURAL RESINS; ADHESIVES; COMPOSITIONS NOT OTHERWISE PROVIDED FOR; APPLICATIONS OF MATERIALS NOT OTHERWISE PROVIDED FOR
    • C09D—COATING COMPOSITIONS, e.g. PAINTS, VARNISHES OR LACQUERS; FILLING PASTES; CHEMICAL PAINT OR INK REMOVERS; INKS; CORRECTING FLUIDS; WOODSTAINS; PASTES OR SOLIDS FOR COLOURING OR PRINTING; USE OF MATERIALS THEREFOR
    • C09D7/00—Features of coating compositions, not provided for in group C09D5/00; Processes for incorporating ingredients in coating compositions
    • C09D7/40—Additives
    • C09D7/60—Additives non-macromolecular
    • C09D7/63—Additives non-macromolecular organic
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    • C09—DYES; PAINTS; POLISHES; NATURAL RESINS; ADHESIVES; COMPOSITIONS NOT OTHERWISE PROVIDED FOR; APPLICATIONS OF MATERIALS NOT OTHERWISE PROVIDED FOR
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    • C09D7/00—Features of coating compositions, not provided for in group C09D5/00; Processes for incorporating ingredients in coating compositions
    • C09D7/40—Additives
    • C09D7/70—Additives characterised by shape, e.g. fibres, flakes or microspheres
    • C—CHEMISTRY; METALLURGY
    • C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
    • C08J—WORKING-UP; GENERAL PROCESSES OF COMPOUNDING; AFTER-TREATMENT NOT COVERED BY SUBCLASSES C08B, C08C, C08F, C08G or C08H
    • C08J2327/00—Characterised by the use of homopolymers or copolymers of compounds having one or more unsaturated aliphatic radicals, each having only one carbon-to-carbon double bond, and at least one being terminated by a halogen; Derivatives of such polymers
    • C08J2327/02—Characterised by the use of homopolymers or copolymers of compounds having one or more unsaturated aliphatic radicals, each having only one carbon-to-carbon double bond, and at least one being terminated by a halogen; Derivatives of such polymers not modified by chemical after-treatment
    • C08J2327/04—Characterised by the use of homopolymers or copolymers of compounds having one or more unsaturated aliphatic radicals, each having only one carbon-to-carbon double bond, and at least one being terminated by a halogen; Derivatives of such polymers not modified by chemical after-treatment containing chlorine atoms
    • C08J2327/06—Homopolymers or copolymers of vinyl chloride
    • C—CHEMISTRY; METALLURGY
    • C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
    • C08J—WORKING-UP; GENERAL PROCESSES OF COMPOUNDING; AFTER-TREATMENT NOT COVERED BY SUBCLASSES C08B, C08C, C08F, C08G or C08H
    • C08J2475/00—Characterised by the use of polyureas or polyurethanes; Derivatives of such polymers
    • C08J2475/04—Polyurethanes
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Abstract

The invention discloses a fingerprint-resistant coating of a functional film for a decorative film surface layer and a preparation method thereof, wherein the functional film comprises a fingerprint-resistant coating and a PVC film; the fingerprint-resistant coating comprises hydroxyl fluorosilicone oil modified polyether, hexamethyl diisocyanate, a catalyst, a leveling agent and a curing agent; according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 20-40 parts, the hexamethyl diisocyanate is 8-12 parts, the catalyst is 1-2 parts, the leveling agent is 0.4-1.2 parts, and the curing agent is 1-2 parts; after the hexamethyl diisocyanate is formed into a film, a concave-convex alternate microsphere structure is formed on the surface of the material; the thickness of the coating is 40-100 μm. The invention aims to ensure that the functional film not only has various functional characteristics, but also can resist fingerprints, is very convenient in circulation in each link, does not need to pay special attention on apparent cleanliness, wastes much time and accelerates the working efficiency.

Description

Fingerprint-resistant coating of functional film for decorative film surface layer and preparation method thereof
Technical Field
The invention belongs to the technical field of coatings, and particularly relates to a fingerprint-resistant coating of a functional film for a decorative film surface layer.
Background
The functional film (functional film for short) applied to the surface layer of the decorative film of a household cabinet door and the like in the market has scratch-resistant effect, and some films have skin feel or matte effect, baking finish effect and the like. The functional film is firstly sent to decoration film enterprises, the functional film is compounded on the base material printed with the printing ink to be made into the decoration film, the decoration film is sent to the enterprises making cabinet doors at the downstream, the cabinet doors are delivered to terminal customers after being made, and the decoration companies are dispatched to people for installation. The middle of the system is provided with a plurality of links, each link can be manually participated, and a plurality of fingerprint prints can be left, so that the discontent of the terminal client is caused.
The decorative film on the market uses a common PVC natural color film, has no characteristics of friction resistance and the like, and is easy to scratch; the functional film has the characteristics of friction resistance and the like, but cannot achieve the fingerprint resistance effect.
Disclosure of Invention
The invention mainly solves the technical problem of providing the fingerprint-resistant coating of the functional film for the surface layer of the decorative film and the preparation method thereof, and the coating can ensure that the surface of the functional film has better friction resistance, is not easy to scratch and has certain skin feel; the most important is that the surface layer can be protected, so that fingerprints cannot be left after the fingers are contacted, and certain hydrophobic and antifouling properties are achieved.
In order to solve the technical problems, the invention adopts a technical scheme that: a fingerprint-resistant coating of a functional film for decorating a film surface layer comprises the fingerprint-resistant coating and a PVC film;
the fingerprint-resistant coating comprises hydroxyl fluorosilicone oil modified polyether, hexamethyl diisocyanate, a catalyst, a leveling agent and a curing agent; according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 20-40 parts, the hexamethyl diisocyanate is 8-12 parts, the catalyst is 1-2 parts, the leveling agent is 0.4-1.2 parts, and the curing agent is 1-2 parts;
after the hexamethyl diisocyanate is formed into a film, a concave-convex alternate microsphere structure is formed on the surface of the material;
the thickness of the coating is 40-100 μm.
Further, the catalyst is dibutyl tin dilaurate.
Further, the leveling agent is BYK 333.
Further, the curing agent is an aziridine compound.
Further, the fingerprint-resistant coating further comprises porous nanofibers, modified nano-silica, graphene and carbon nanotubes.
Further, in the fingerprint coating, the parts by weight of the porous nanofiber, the modified nano-silica, the graphene and the carbon nanotube are respectively as follows: 2-5 parts, 0.1-0.5 part, 0.05-0.2 part and 1-3 parts.
The porous nanofiber comprises porous carbon nanofiber or porous titanium dioxide nanofiber, the average fiber diameter of the porous nanofiber is 10-200nm, the pore diameter is 2-50nm, and the length-diameter ratio of the porous nanofiber is 5-10.
The preparation method of the modified nano silicon dioxide comprises the following steps: taking nano silicon dioxide, deionized water and hexamethyldisilazane, stirring for 10-20min, heating to 130 ℃ for reaction to obtain a suspension; centrifugally washing all the suspension with ethanol, and drying to constant weight to obtain modified nano silicon dioxide; the mass ratio of the nano silicon dioxide to the deionized water to the hexamethyldisilazane is 1:19: 20; the reaction time is 1-2 h; the centrifugal washing times are 3-5.
The carbon nano tube comprises a single-wall carbon nano tube or a multi-wall carbon nano tube, the OD is less than 8nm, and the length is 20-100 nm.
The preparation method of the fingerprint-resistant coating of the functional film for the surface layer of the decorative film comprises the following steps:
s1, at the temperature of 20-30 ℃, 20-40 parts of hydroxyl fluorine silicone oil modified polyether, 8-12 parts of hexamethyl diisocyanate, 1-2 parts of catalyst, 0.4-1.2 parts of flatting agent and 1-2 parts of curing agent are sequentially put into a stirrer and stirred for 2-4 hours at the rotating speed of 300-;
s2, spraying the fingerprint-resistant coating on the substrate, and curing in an oven at 80-120 ℃ for 1-2h to obtain the fingerprint-resistant coating on the substrate.
Further, the substrate is glass, polished stainless steel or bright plastic.
Further, the spraying process comprises the following steps: every 20cm2The spraying amount is 3mL, the spraying pressure is 3-4MPa, the nozzle is inclined at 45 degrees and is sprayed at a distance of 10-15 cm from the sample, the moving speed is 10-20 cm/min, and the coating is uniformly sprayed on the surface of the substrate back and forth.
Further, when the fingerprint-resistant coating further comprises porous nanofibers, modified nano-silica, graphene and carbon nanotubes, mixing the porous nanofibers, the modified nano-silica, the graphene and the carbon nanotubes, adding 5 wt% of hydroxyl fluorosilicone oil modified polyether to the mixture, performing ball milling to obtain a composite material, and putting the composite material into a stirrer before stirring in the S1.
Further, the temperature of the ball milling is 30-45 ℃, the speed is 1200-1500r/min, and the time is 1-2 h.
In S1, when the stirring by the stirrer is completed, obtaining a stirring parameter during the stirring process of the stirrer, evaluating the stirring process based on the stirring parameter to obtain an evaluation result, and when the evaluation result is not good, re-stirring;
wherein evaluating the stirring process based on the stirring parameters comprises:
performing parameter analysis and classification on the stirring parameters to obtain a plurality of first parameter items of different first parameter types;
performing feature analysis on the first parameter item to obtain a plurality of first features;
acquiring a preset abnormal feature library, wherein the abnormal feature library comprises: a plurality of second features;
acquiring possible values of the second features, determining rules according to a preset matching sequence, and determining a matching sequence based on the possible values;
matching the first feature with the second feature based on the matching sequence, if the matching is in accordance with the second feature, taking the second feature in accordance with the matching as a third feature, simultaneously acquiring a first generation time point of the first parameter item, and taking the first generation time point of the first parameter item corresponding to the first feature in accordance with the matching of the third feature as a second generation time point;
determining at least one influence target corresponding to the third feature based on a preset feature-influence target library;
determining the first parameter type contained in the influence target and using the first parameter type as a second parameter type;
determining the first parameter item corresponding to the second parameter type and using the first parameter item as a second parameter item;
acquiring a third generation time point of the second parameter item;
taking the second parameter item of the third generation time point in a preset time period after the second generation time point as a third parameter item;
performing feature analysis on the third parameter item to obtain a plurality of third features;
determining at least one first influence characteristic corresponding to the influence characteristic based on a preset influence target-influence characteristic library;
performing feature matching on the third feature and the corresponding first influence feature, and if the third feature and the corresponding first influence feature are matched, taking the matched first influence feature as a second influence feature;
performing feature combination on the third feature and the corresponding second influence feature to obtain a first combined feature, and meanwhile, determining a third generation time point of the third parameter item corresponding to the third feature matched and conformed with the second influence feature subjected to feature combination and taking the third generation time point as a fourth generation time point;
taking the first parameter item after the first generation time point is the fourth generation time point as a fourth parameter item;
performing feature analysis on the fourth parameter item to obtain at least one fourth feature;
performing random feature combination on the fourth features to obtain a plurality of second combined features;
determining at least one compensation feature corresponding to the first combination feature based on a preset combination feature-compensation feature library;
performing feature matching on the second combined feature and the compensation feature, and if the second combined feature and the compensation feature are matched, taking the corresponding first combined feature as a third combined feature;
after the feature matching is finished, taking the first combined features except the third combined features in the first combined features as fourth combined features;
determining an influence value corresponding to the fourth combined feature based on a preset combined feature-influence value library;
summing all the influence values to obtain influence value sums;
and if the sum of the influence values is greater than or equal to the preset influence value and threshold value, outputting an evaluation result with unqualified content.
Further, obtaining possible values of the second feature comprises:
acquiring at least one first abnormal event corresponding to the second characteristic;
determining a source of the first exception event, the source comprising: local and non-local;
when the source of the first abnormal event is local, taking the corresponding first abnormal event as a second abnormal event;
acquiring first attribute information of the stirrer, and acquiring second attribute information corresponding to the second abnormal event;
performing attribute analysis on the first attribute information to obtain a plurality of first attribute items, and performing attribute analysis on the second attribute information to obtain a plurality of second attribute items;
performing feature analysis on the first attribute item to obtain at least one fifth feature, and performing feature analysis on the second attribute item to obtain at least one sixth feature;
performing feature matching on the fifth feature and the sixth feature, and if the fifth feature and the sixth feature are matched, taking the fifth feature matched with the fifth feature as a seventh feature;
after the feature matching is finished, taking the fifth feature except the seventh feature as an eighth feature;
determining the second attribute item corresponding to the first attribute item corresponding to the eighth characteristic as a third attribute item;
determining whether the eighth feature is associated with the sixth feature obtained by feature extraction of the corresponding third attribute item based on a preset feature association library, and if so, taking the corresponding eighth feature as a ninth feature;
the eighth feature is included as a tenth feature in the eighth feature, excluding the ninth feature;
obtaining a key value corresponding to the tenth characteristic;
summing the key values to obtain a key value sum, and associating the key value sum with the corresponding second abnormal event;
if the sum of the key values is greater than or equal to a preset key value and a preset threshold value, rejecting the corresponding second abnormal event;
when the second abnormal events needing to be removed in the first abnormal events are all removed, taking the remaining first abnormal events as third abnormal events;
and counting the number of the third abnormal events, and finishing acquisition as a possible value.
The invention has the beneficial effects that:
1. according to the invention, the hydroxyl fluorosilicone oil modified polyether, the hexamethyl diisocyanate and the dibutyl tin dilaurate are crosslinked at normal temperature, so that the hydroxyl fluorosilicone oil modified polyether is uniformly coated on the surface of the hexamethyl diisocyanate microsphere through chemical crosslinking, the chemical anti-fouling effect of the low surface energy polymer and the physical anti-fouling effect of the concave-convex structure are mutually synergistic, and the distribution ratio of all components is reasonably adjusted by matching with components of a leveling agent and a curing agent, so that the coating has good scratch resistance (the coating has slight change of glossiness after being rubbed for 1000 times under the pressure of a 1000g counterweight weight, the change of glossiness at 60 degrees is less than 0.5, and scratches completely disappear after a period of time) and good fingerprint resistance while the good printability of the coating is maintained;
2. according to the invention, the aziridine compound is specifically selected as the curing agent, so that the polymerization reaction can be promoted, and the aziridine compound, the hydroxyfluorosilicone oil modified polyether and hexamethyl diisocyanate can synergistically act, so that the hardness and the adhesive force of the coating are improved.
3. According to the invention, the graphene and the carbon nano tube are added, and the coating material is processed through specific operation, so that the hardness and the wear resistance of the coating are further increased, the performance of the film material is enhanced by the discontinuous fiber reinforced material prepared by a specific formula and a specific method, and other effects are brought on the premise of enhancing the mechanical property; according to the invention, the anti-fingerprint property of the film is further enhanced by adding the porous nano-fiber and the modified nano-silica, and the porous nano-fiber and the modified nano-silica have a common effect with graphene and carbon nano-tubes, so that the porous nano-fiber and the modified nano-silica which have the effect are more widely applicable to various decorative films.
Drawings
FIG. 1 is a schematic view showing the overall structure of a functional film according to the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention.
Example 1: a fingerprint-resistant coating of a functional film for decorating a film surface layer, as shown in figure 1, comprises a fingerprint-resistant coating 100 and a PVC film 200;
the fingerprint-resistant coating 100 comprises hydroxyl fluorosilicone oil modified polyether, hexamethyl diisocyanate, a catalyst, a leveling agent and a curing agent; according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 20 parts, the hexamethyl diisocyanate is 8 parts, the catalyst is 1 part, the leveling agent is 0.4 part, and the curing agent is 1 part;
after the hexamethyl diisocyanate is formed into a film, a concave-convex alternate microsphere structure is formed on the surface of the material;
the thickness of the coating was 40 μm.
The catalyst is dibutyl tin dilaurate.
The leveling agent is bike BYK 333.
The curing agent is an aziridine compound.
The preparation method of the fingerprint-resistant coating of the functional film for the surface layer of the decorative film comprises the following steps:
s1, sequentially putting 20 parts of hydroxyl fluorosilicone oil modified polyether, 8 parts of hexamethyl diisocyanate, 1 part of catalyst, 0.4 part of flatting agent and 1 part of curing agent into a stirrer at the temperature of 20 ℃, and stirring at the rotating speed of 300r/min for 2 hours to obtain the fingerprint-resistant paint;
s2, spraying the fingerprint-resistant coating on the substrate, and curing in an oven at 80 ℃ for 1h to obtain the fingerprint-resistant coating on the substrate.
The substrate is glass.
The spraying process comprises the following steps: every 20cm2The spraying amount is 3mL, the spraying pressure is 3MPa, the nozzle is inclined at 45 degrees and is sprayed at a distance of 10cm from the sample, the moving speed is 10cm/min, and the coating is evenly sprayed on the surface of the substrate back and forth.
Example 2: a fingerprint resistant coating of a functional film for a surface layer of a decorative film, the rest of which are the same as those in example 1, except that:
according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 30 parts, the hexamethyl diisocyanate is 9.5 parts, the catalyst is 1.2 parts, the leveling agent is 0.8 part, and the curing agent is 1.5 parts;
the thickness of the coating was 70 μm.
The preparation method of the fingerprint-resistant coating of the functional film for the surface layer of the decorative film comprises the following steps:
s1, sequentially putting 30 parts of hydroxyl fluorosilicone oil modified polyether, 9.5 parts of hexamethyldiisocyanate, 1.2 parts of catalyst, 0.8 part of flatting agent and 1.5 parts of curing agent into a stirrer at 25 ℃, and stirring at the rotating speed of 400r/min for 3 hours to obtain the fingerprint-resistant paint;
s2, spraying the fingerprint-resistant coating on the substrate, and curing in an oven at 100 ℃ for 1.5h to obtain the fingerprint-resistant coating on the substrate.
The substrate is polished stainless steel.
The spraying process comprises the following steps: every 20cm2The spraying amount is 3mL, the spraying pressure is 4MPa, the nozzle is inclined at 45 degrees and is sprayed at a distance of 12cm from the sample, the moving speed is 15cm/min, and the coating is evenly sprayed on the surface of the substrate back and forth.
Example 3: a fingerprint resistant coating of a functional film for a surface layer of a decorative film, the rest of which are the same as those in example 1, except that:
according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 40 parts, the hexamethyl diisocyanate is 12 parts, the catalyst is 2 parts, the leveling agent is 1.2 parts, and the curing agent is 2 parts;
the thickness of the coating was 100 μm.
The preparation method of the fingerprint-resistant coating of the functional film for the surface layer of the decorative film comprises the following steps:
s1, sequentially putting 40 parts of hydroxyl fluorosilicone oil modified polyether, 12 parts of hexamethyl diisocyanate, 2 parts of catalyst, 1.2 parts of flatting agent and 2 parts of curing agent into a stirrer at the temperature of 30 ℃, and stirring at the rotating speed of 500r/min for 4 hours to obtain the fingerprint-resistant paint;
s2, spraying the fingerprint-resistant coating on the substrate, and curing in an oven at 120 ℃ for 2h to obtain the fingerprint-resistant coating on the substrate.
The substrate is bright-faced plastic.
The spraying process comprises the following steps: every 20cm2The spraying amount is 3mL, the spraying pressure is 4MPa, the nozzle is inclined at 45 degrees and is sprayed at a distance of 15cm from the sample, the moving speed is 20cm/min, and the coating is evenly sprayed on the surface of the substrate back and forth.
Example 4: a fingerprint resistant coating of a functional film for a surface layer of a decorative film, the rest being the same as example 2 except that:
the fingerprint-resistant coating further comprises porous nano fibers, modified nano silicon dioxide, graphene and carbon nano tubes.
In the fingerprint coating, the mass parts of the porous nanofiber, the modified nano-silica, the graphene and the carbon nanotube are respectively as follows: 2 parts, 0.3 part, 0.1 part and 2 parts.
The porous nanofiber comprises porous carbon nanofiber, the average fiber diameter of the porous nanofiber is 20-40nm, the pore diameter is 2-10nm, and the length-diameter ratio of the porous nanofiber is 5-10.
The preparation method of the modified nano silicon dioxide comprises the following steps: taking nano silicon dioxide, deionized water and hexamethyldisilazane, stirring for 20min, heating to 130 ℃ for reaction to obtain a suspension; centrifugally washing all the suspension with ethanol, and drying to constant weight to obtain modified nano silicon dioxide; the mass ratio of the nano silicon dioxide to the deionized water to the hexamethyldisilazane is 1:19: 20; the reaction time is 2 h; the number of centrifugal washes was 3.
The carbon nano tube comprises a multi-wall carbon nano tube, the OD is less than 8nm, and the length is 50-80 nm.
Mixing porous nanofiber, modified nano silicon dioxide, graphene and carbon nano tubes, adding 5 wt% of hydroxyl fluorosilicone oil modified polyether to the mixture, performing ball milling to obtain a composite material, and putting the composite material into a stirrer before stirring in the S1.
The ball milling temperature is 30-45 ℃, the speed is 1200-1500r/min, and the time is 2 h.
Comparative example 3: a fingerprint resistant coating of a functional film for a surface layer of a decorative film, the rest being the same as example 2 except that:
the fingerprint-resistant coating also comprises porous nanofiber and modified nano silicon dioxide.
In the fingerprint coating, the mass parts of the porous nanofiber and the modified nano silicon dioxide are respectively as follows: 2 parts and 0.3 part.
The porous nanofiber comprises porous carbon nanofiber, the average fiber diameter of the porous nanofiber is 20-40nm, the pore diameter is 2-10nm, and the length-diameter ratio of the porous nanofiber is 5-10.
The preparation method of the modified nano silicon dioxide comprises the following steps: taking nano silicon dioxide, deionized water and hexamethyldisilazane, stirring for 20min, heating to 130 ℃ for reaction to obtain a suspension; centrifugally washing all the suspension with ethanol, and drying to constant weight to obtain modified nano silicon dioxide; the mass ratio of the nano silicon dioxide to the deionized water to the hexamethyldisilazane is 1:19: 20; the reaction time is 2 h; the number of centrifugal washes was 3.
Mixing the porous nanofiber and the modified nano-silica, adding hydroxyl fluorine silicone oil modified polyether accounting for 5 wt% of the total mass of the porous nanofiber and the modified nano-silica, performing ball milling to obtain a composite material, and putting the composite material into a stirrer before stirring in the S1.
The ball milling temperature is 30-45 ℃, the speed is 1200-1500r/min, and the time is 2 h.
The fingerprint-resistant coatings of examples 1-3 were prepared into functional films and tested for performance with commercially available functional films (comparative examples 1 and 2) by the following specific test methods:
the fingerprint resistance is judged according to the change of the color difference value before and after the surface of the sample is coated with vaseline: if the change of the front and rear color difference is less than 1, the color difference is A level; if the change of the front and rear chromatic aberration is more than 1 and less than 2, the grade is B; if the change of the front and rear color difference is more than 2 and less than 4, the color is C-level; and if the change of the front and rear color difference is more than 4, the D level is obtained.
Water resistance was determined by dropping deionized water at 100 ℃ onto the test specimen: if the sample has no water mark completely, the sample is A grade; if the water stain is slight, the grade B is obtained; obvious water stain is grade C
Corrosion resistance Corrosion tests were carried out according to the methods and conditions specified in GB/T10125-1997, and the corrosion results (expressed as the percentage of the total area of the corrosion area after 120h and 216 h) were evaluated according to the regulations of GB 12335-90. Among them, the smaller the etching area, the better.
The test results are shown in table 1:
TABLE 1
Figure BDA0003301572470000101
As can be seen from the test results in Table 1, the functional film prepared by using the fingerprint-resistant coating of the present invention has good high corrosion resistance, fingerprint resistance and water resistance, and can meet the requirements of the home decoration industry for the functional film. Compared with the results in detail, the fingerprint resistance of the example 4 and the comparative example 3 is obviously better than that of the examples 1 to 3, and when the materials obtained in the examples 1 to 4 are respectively used for a PVC material, a metal surface and a glass surface, the peel strength of the film formed on the metal surface of the example 4 is obviously higher than that of the examples 1 and 3, and the peel strength of the film formed on the metal surface of the comparative example 3 is similar to that of the example 4, but the peel strength of the film formed on the PVC material and the glass surface is obviously lower than that of all the examples.
The working principle of the invention is as follows:
in the technical concept, the following factors should be considered to achieve the fingerprint resistance effect:
1. the surface energy is generally dirt, sweat, oil stain and the like on most fingers, and the smaller the surface energy is, the more difficult the sweat and the oil stain are attached to, and the more difficult dirt is formed relatively, so the better the dirt resistance is;
2. the surface structure is a micro-rough structure formed on the surface of the coating, and the contact angle between the stains and the coating is increased, so that the stains are not easy to adhere to the surface of the coating. The contact angle is the angle at which a tangent to the gas-liquid interface at the intersection of the gas, liquid and solid passes through the boundary between the liquid and the solid-liquid and is a measure of the degree of wetting.
For example, lotus leaves in nature have low surface energy because the surface of the lotus leaves is covered with nano waxy crystals; meanwhile, countless protrusions with the size of about 10 micrometers are covered on the surface of the lotus leaf, and each micro protrusion is also fully covered with micro fluff with the diameter of only hundreds of nanometers, so that the lotus leaf has a very high contact angle, and the lotus leaf has super-strong hydrophobic, antifouling and fingerprint-resistant effects.
Polymers with low surface energy are generally available on the market as fluorine-modified resins and silicone-modified resins. The fluorine modified resin has relatively good fingerprint resistance effect, but has the problems of high price and compatibility, while the organic silicon modified resin has poor fingerprint resistance effect although the cost performance is good. In order to imitate the lotus effect principle, the fluorine-silicon structure needs to be introduced into the branched chain of the polyurethane resin through synthesis, and the fluorine-silicon structure is incompatible with the main chain and has low specific gravity, so that the fluorine-silicon chain segment can naturally migrate to the surface of the coating when being coated, a nano micro-protrusion structure can be formed on the surface, and the effects of fingerprint resistance and hydrophobic and antifouling are achieved.
In S1 of examples 1 to 3, after the stirring by the stirrer is completed, a stirring parameter during the stirring by the stirrer is acquired, the stirring process is evaluated based on the stirring parameter to acquire an evaluation result, and when the evaluation result is a failure, the stirring is resumed;
wherein evaluating the stirring process based on the stirring parameters comprises:
performing parameter analysis and classification on the stirring parameters to obtain a plurality of first parameter items of different first parameter types;
performing feature analysis on the first parameter item to obtain a plurality of first features;
acquiring a preset abnormal feature library, wherein the abnormal feature library comprises: a plurality of second features;
acquiring possible values of the second features, determining rules according to a preset matching sequence, and determining a matching sequence based on the possible values;
matching the first feature with the second feature based on the matching sequence, if the matching is in accordance with the second feature, taking the second feature in accordance with the matching as a third feature, simultaneously acquiring a first generation time point of the first parameter item, and taking the first generation time point of the first parameter item corresponding to the first feature in accordance with the matching of the third feature as a second generation time point;
determining at least one influence target corresponding to the third feature based on a preset feature-influence target library;
determining the first parameter type contained in the influence target and using the first parameter type as a second parameter type;
determining the first parameter item corresponding to the second parameter type and using the first parameter item as a second parameter item;
acquiring a third generation time point of the second parameter item;
taking the second parameter item of the third generation time point in a preset time period after the second generation time point as a third parameter item;
performing feature analysis on the third parameter item to obtain a plurality of third features;
determining at least one first influence characteristic corresponding to the influence characteristic based on a preset influence target-influence characteristic library;
performing feature matching on the third feature and the corresponding first influence feature, and if the third feature and the corresponding first influence feature are matched, taking the matched first influence feature as a second influence feature;
performing feature combination on the third feature and the corresponding second influence feature to obtain a first combined feature, and meanwhile, determining a third generation time point of the third parameter item corresponding to the third feature matched and conformed with the second influence feature subjected to feature combination and taking the third generation time point as a fourth generation time point;
taking the first parameter item after the first generation time point is the fourth generation time point as a fourth parameter item;
performing feature analysis on the fourth parameter item to obtain at least one fourth feature;
performing random feature combination on the fourth features to obtain a plurality of second combined features;
determining at least one compensation feature corresponding to the first combination feature based on a preset combination feature-compensation feature library;
performing feature matching on the second combined feature and the compensation feature, and if the second combined feature and the compensation feature are matched, taking the corresponding first combined feature as a third combined feature;
after the feature matching is finished, taking the first combined features except the third combined features in the first combined features as fourth combined features;
determining an influence value corresponding to the fourth combined feature based on a preset combined feature-influence value library;
summing all the influence values to obtain influence value sums;
and if the sum of the influence values is greater than or equal to the preset influence value and threshold value, outputting an evaluation result with unqualified content.
The working principle and the beneficial effects of the technical scheme are as follows:
when the stirring of the stirrer is finished, stirring parameters (temperature, humidity, stirring force, stirring direction and the like) recorded at regular time in the stirring process are obtained, parameter analysis and classification are carried out on the stirring parameters, a plurality of first parameter items of different first parameter types (such as temperature parameters) are obtained, characteristic analysis is carried out, and a plurality of first characteristics are obtained; determining a rule according to a preset matching sequence (the larger the possible value is, the higher the priority is for matching), determining a matching sequence based on the possible value, matching the first characteristic with a second characteristic in a preset abnormal characteristic library (a database containing a plurality of abnormal working characteristics of the stirrer, such as sudden temperature change and the like) based on the matching sequence, and determining a third characteristic if the matching is matched; determining an influence target corresponding to a third characteristic (for example, the third characteristic is a sudden temperature change which influences humidity, and the influence target is a humidity parameter) based on a preset characteristic-influence target library (which includes a database of influence targets corresponding to different characteristics); determining a third parameter item within a preset time period (for example, 10 seconds) after the influence target corresponds, and performing feature analysis to obtain a plurality of third features; determining a first influence characteristic (such as sudden humidity change) corresponding to the influence target based on a preset influence target-influence characteristic library (comprising influence characteristic libraries corresponding to different influence targets), performing characteristic matching on a third characteristic and the first influence characteristic, if the matching is consistent, determining a second influence characteristic, and performing characteristic combination on the third characteristic and the second influence characteristic to obtain a first combined characteristic; determining compensation characteristics corresponding to the first combination characteristics (for example, the first combination characteristics are humidity sudden changes caused by temperature sudden changes, and the compensation characteristics are subsequent temperature and humidity stability) based on a preset combination characteristic-compensation characteristic library (comprising a database of compensation characteristics corresponding to different combination characteristics), matching the second combination characteristics with the compensation characteristics, and if the matching is consistent, obtaining compensation; determining the influence value corresponding to the fourth combined feature which is not compensated based on a preset combined feature-influence value library (the influence value is larger and the influence is larger in a database containing the influence values corresponding to different combined features), summing and calculating to obtain the sum of the influence values, and if the sum of the influence values is larger than or equal to the preset influence value and a threshold value (for example: 500), indicating that the influence is too large and stirring needs to be carried out again;
in order to ensure the quality of the fingerprint-resistant coating, the stirring process is particularly important, and the embodiment of the invention can intelligently determine whether the stirring process needs to be carried out again based on the stirring parameters, so that the quality of the fingerprint-resistant coating can be ensured.
Wherein obtaining possible values of the second feature comprises:
acquiring at least one first abnormal event corresponding to the second characteristic;
determining a source of the first exception event, the source comprising: local and non-local;
when the source of the first abnormal event is local, taking the corresponding first abnormal event as a second abnormal event;
acquiring first attribute information of the stirrer, and acquiring second attribute information corresponding to the second abnormal event;
performing attribute analysis on the first attribute information to obtain a plurality of first attribute items, and performing attribute analysis on the second attribute information to obtain a plurality of second attribute items;
performing feature analysis on the first attribute item to obtain at least one fifth feature, and performing feature analysis on the second attribute item to obtain at least one sixth feature;
performing feature matching on the fifth feature and the sixth feature, and if the fifth feature and the sixth feature are matched, taking the fifth feature matched with the fifth feature as a seventh feature;
after the feature matching is finished, taking the fifth feature except the seventh feature as an eighth feature;
determining the second attribute item corresponding to the first attribute item corresponding to the eighth characteristic as a third attribute item;
determining whether the eighth feature is associated with the sixth feature obtained by feature extraction of the corresponding third attribute item based on a preset feature association library, and if so, taking the corresponding eighth feature as a ninth feature;
the eighth feature is included as a tenth feature in the eighth feature, excluding the ninth feature;
obtaining a key value corresponding to the tenth characteristic;
summing the key values to obtain a key value sum, and associating the key value sum with the corresponding second abnormal event;
if the sum of the key values is greater than or equal to a preset key value and a preset threshold value, rejecting the corresponding second abnormal event;
when the second abnormal events needing to be removed in the first abnormal events are all removed, taking the remaining first abnormal events as third abnormal events;
and counting the number of the third abnormal events, and finishing acquisition as a possible value.
The working principle and the beneficial effects of the technical scheme are as follows:
acquiring a first abnormal event corresponding to the second characteristic (for example, a certain stirrer generates the second characteristic), determining the source of the first abnormal event, wherein the source is divided into a local part (corresponding to the stirrer in use) and a non-local part (corresponding to the stirrer in use by other users), determining the non-local second abnormal event, and needing to be screened; acquiring first attribute information (a stirrer model, stirring setting parameters, a stirring material type and the like) of the stirrer, and acquiring second attribute information (the model of the stirrer used by other users and the like) corresponding to a second abnormal event; splitting the first attribute information and the second attribute information into a plurality of attribute items, performing characteristic analysis to obtain a fifth characteristic and a sixth characteristic respectively, performing characteristic matching on the fifth characteristic and the sixth characteristic, screening out unmatched eighth characteristics, and determining whether the eighth characteristic is related to the sixth characteristic or not based on a preset characteristic association library (a database containing different association characteristics, for example, two stirring materials both belong to the same type, namely are related); screening out tenth characteristics which are not matched or associated, acquiring a key value of the tenth characteristics (determining the availability degree of the second abnormal event, wherein the larger the key value is, the larger the availability degree is) and carrying out summation calculation to obtain a key value sum; if the sum of the key values is greater than or equal to the preset key value and the threshold value (for example: 300), rejecting the corresponding second abnormal event; the larger the number of the remaining third abnormal events, that is, the higher the possibility that the second characteristic occurs when the mixer is mixing, the larger the possible value; and determining a possible value based on the third abnormal event, wherein the setting is reasonable, and meanwhile, the first abnormal event is screened layer by layer, so that the determination accuracy of the possible value is improved.
Wherein, acquiring at least one first abnormal event corresponding to the second characteristic comprises:
acquiring a preset acquisition node set, wherein the acquisition node set comprises: a plurality of first acquisition nodes;
acquiring the contribution degree corresponding to the first acquisition node, and acquiring a plurality of first credibility corresponding to the first acquisition node;
determining a data type for the first degree of trustworthiness, the data type comprising: current and history;
if the data type of the first credibility is current, taking the corresponding first credibility as a second credibility;
if the data type of the first credibility is history, taking the corresponding first credibility as a third credibility;
calculating a judgment index based on the contribution degree, the second reliability and the third reliability, wherein the calculation formula is as follows:
γ＝σ·ρ
Figure BDA0003301572470000151
wherein γ is the determination index, σ is the contribution degree, ρ is an intermediate variable, α is the second reliability, βiFor the ith said third confidence level, n is the total number of said third confidence levels, ε1And ε2Is a predetermined constant, epsilon1＞ε2Or is or;
if the judgment index is larger than or equal to a preset judgment index threshold value, taking the corresponding first acquisition node as a second acquisition node;
and acquiring at least one first abnormal event corresponding to the second characteristic through the second acquisition node.
The working principle and the beneficial effects of the technical scheme are as follows:
acquiring the contribution degree of a first acquisition node (the greater the contribution degree is, the more times the first abnormal event acquired by the first acquisition node is historically screened into a third abnormal event); acquiring first credibility of a first acquisition node (the higher the credibility is, the safer the acquisition is), wherein the data types of credibility are divided into current and historical data, namely the credibility of the current first acquisition node and the credibility of the historical first acquisition node; calculating a judgment index based on the contribution value, the second reliability and the third reliability, and when the judgment index is greater than or equal to a preset judgment index threshold (for example: 85), taking the corresponding first acquisition node as a second acquisition node and acquiring a first abnormal event; screening the first acquisition node based on the contribution degree and the credibility, and ensuring the accuracy and the safety of acquisition;
in the formula, the contribution degree is positively correlated with the judgment index,
Figure BDA0003301572470000161
or
Figure BDA0003301572470000162
When the current credibility is different from the average value of the historical credibility, the current credibility is taken as the current acquisition is needed,
Figure BDA0003301572470000163
and (4) the current credibility is similar to the historical credibility, and an average value is taken.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structural changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to other related technical fields, are included in the scope of the present invention.

Claims (9)

1. The utility model provides a functional film's resistant fingerprint coating for decorating membrane top layer which characterized in that: the functional film comprises a fingerprint-resistant coating and a PVC film;
the fingerprint-resistant coating comprises hydroxyl fluorosilicone oil modified polyether, hexamethyl diisocyanate, a catalyst, a leveling agent and a curing agent; according to the weight parts, the hydroxyl fluorosilicone oil modified polyether is 20-40 parts, the hexamethyl diisocyanate is 8-12 parts, the catalyst is 1-2 parts, the leveling agent is 0.4-1.2 parts, and the curing agent is 1-2 parts;
after the hexamethyl diisocyanate is formed into a film, a concave-convex alternate microsphere structure is formed on the surface of the material;
the thickness of the coating is 40-100 μm.
2. The fingerprint-resistant coating of the functional film for a decorative film top layer according to claim 1, characterized in that: the catalyst is dibutyl tin dilaurate.
3. The fingerprint-resistant coating of the functional film for a decorative film top layer according to claim 1, characterized in that: the leveling agent is bike BYK 333.
4. The fingerprint-resistant coating of the functional film for a decorative film top layer according to claim 1, characterized in that: the curing agent is an aziridine compound.
5. The preparation method of the fingerprint-resistant coating of the functional film for the surface layer of the decorative film is characterized by comprising the following steps of: the method comprises the following steps:
s1, sequentially putting 20-40 parts of hydroxyl fluorosilicone oil modified polyether, 8-12 parts of hexamethyl diisocyanate, 1-2 parts of catalyst, 0.4-1.2 parts of flatting agent and 1-2 parts of curing agent into a stirrer at 20-30 ℃, and stirring at the rotating speed of 500r/min for 2-4h to obtain the fingerprint-resistant coating;
s2, spraying the fingerprint-resistant coating on the substrate, and curing in an oven at 80-120 ℃ for 1-2h to obtain the fingerprint-resistant coating on the substrate.
6. The method for preparing the fingerprint-resistant coating of the functional film for the surface layer of the decorative film according to claim 5, wherein: the substrate is glass, polished stainless steel or bright plastic.
7. The method for preparing the fingerprint-resistant coating of the functional film for the surface layer of the decorative film according to claim 5, wherein: the spraying process comprises the following steps: every 20cm2The spraying amount is 3mL, the spraying pressure is 3-4MPa, the nozzle is inclined at 45 degrees and is sprayed at a distance of 10-15 cm from the sample, the moving speed is 10-20 cm/min, and the coating is uniformly sprayed on the surface of the substrate back and forth.
8. The method of claim 5, wherein in step S1, after the stirring by the stirrer is completed, stirring parameters during the stirring by the stirrer are obtained, the stirring process is evaluated based on the stirring parameters to obtain an evaluation result, and when the evaluation result is a failure, the stirring is resumed;
wherein evaluating the stirring process based on the stirring parameters comprises:
performing parameter analysis and classification on the stirring parameters to obtain a plurality of first parameter items of different first parameter types;
performing feature analysis on the first parameter item to obtain a plurality of first features;
acquiring a preset abnormal feature library, wherein the abnormal feature library comprises: a plurality of second features;
acquiring possible values of the second features, determining rules according to a preset matching sequence, and determining a matching sequence based on the possible values;
matching the first feature with the second feature based on the matching sequence, if the matching is in accordance with the second feature, taking the second feature in accordance with the matching as a third feature, simultaneously acquiring a first generation time point of the first parameter item, and taking the first generation time point of the first parameter item corresponding to the first feature in accordance with the matching of the third feature as a second generation time point;
determining at least one influence target corresponding to the third feature based on a preset feature-influence target library;
determining the first parameter type contained in the influence target and using the first parameter type as a second parameter type;
determining the first parameter item corresponding to the second parameter type and using the first parameter item as a second parameter item;
acquiring a third generation time point of the second parameter item;
taking the second parameter item of the third generation time point in a preset time period after the second generation time point as a third parameter item;
performing feature analysis on the third parameter item to obtain a plurality of third features;
determining at least one first influence characteristic corresponding to the influence characteristic based on a preset influence target-influence characteristic library;
performing feature matching on the third feature and the corresponding first influence feature, and if the third feature and the corresponding first influence feature are matched, taking the matched first influence feature as a second influence feature;
performing feature combination on the third feature and the corresponding second influence feature to obtain a first combined feature, and meanwhile, determining a third generation time point of the third parameter item corresponding to the third feature matched and conformed with the second influence feature subjected to feature combination and taking the third generation time point as a fourth generation time point;
taking the first parameter item after the first generation time point is the fourth generation time point as a fourth parameter item;
performing feature analysis on the fourth parameter item to obtain at least one fourth feature;
performing random feature combination on the fourth features to obtain a plurality of second combined features;
determining at least one compensation feature corresponding to the first combination feature based on a preset combination feature-compensation feature library;
performing feature matching on the second combined feature and the compensation feature, and if the second combined feature and the compensation feature are matched, taking the corresponding first combined feature as a third combined feature;
after the feature matching is finished, taking the first combined features except the third combined features in the first combined features as fourth combined features;
determining an influence value corresponding to the fourth combined feature based on a preset combined feature-influence value library;
summing all the influence values to obtain influence value sums;
and if the sum of the influence values is greater than or equal to the preset influence value and threshold value, outputting an evaluation result with unqualified content.
9. The method for preparing a fingerprint resistant coating of a functional film for a surface layer of a decorative film according to claim 8, wherein obtaining the possible values of the second characteristic comprises:
acquiring at least one first abnormal event corresponding to the second characteristic;
determining a source of the first exception event, the source comprising: local and non-local;
when the source of the first abnormal event is local, taking the corresponding first abnormal event as a second abnormal event;
acquiring first attribute information of the stirrer, and acquiring second attribute information corresponding to the second abnormal event;
performing attribute analysis on the first attribute information to obtain a plurality of first attribute items, and performing attribute analysis on the second attribute information to obtain a plurality of second attribute items;
performing feature analysis on the first attribute item to obtain at least one fifth feature, and performing feature analysis on the second attribute item to obtain at least one sixth feature;
performing feature matching on the fifth feature and the sixth feature, and if the fifth feature and the sixth feature are matched, taking the fifth feature matched with the fifth feature as a seventh feature;
after the feature matching is finished, taking the fifth feature except the seventh feature as an eighth feature;
determining the second attribute item corresponding to the first attribute item corresponding to the eighth characteristic as a third attribute item;
determining whether the eighth feature is associated with the sixth feature obtained by feature extraction of the corresponding third attribute item based on a preset feature association library, and if so, taking the corresponding eighth feature as a ninth feature;
the eighth feature is included as a tenth feature in the eighth feature, excluding the ninth feature;
obtaining a key value corresponding to the tenth characteristic;
summing the key values to obtain a key value sum, and associating the key value sum with the corresponding second abnormal event;
if the sum of the key values is greater than or equal to a preset key value and a preset threshold value, rejecting the corresponding second abnormal event;
when the second abnormal events needing to be removed in the first abnormal events are all removed, taking the remaining first abnormal events as third abnormal events;
and counting the number of the third abnormal events, and finishing acquisition as a possible value.
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