CN114778246B - Kaolin preparation device based on Internet of things and control method - Google Patents
Kaolin preparation device based on Internet of things and control method Download PDFInfo
- Publication number
- CN114778246B CN114778246B CN202210407043.6A CN202210407043A CN114778246B CN 114778246 B CN114778246 B CN 114778246B CN 202210407043 A CN202210407043 A CN 202210407043A CN 114778246 B CN114778246 B CN 114778246B
- Authority
- CN
- China
- Prior art keywords
- kaolin
- coating
- test
- preparation
- box body
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/286—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q involving mechanical work, e.g. chopping, disintegrating, compacting, homogenising
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/0053—Details of the reactor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/0053—Details of the reactor
- B01J19/0066—Stirrers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/0053—Details of the reactor
- B01J19/0073—Sealings
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/18—Stationary reactors having moving elements inside
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N19/00—Investigating materials by mechanical methods
- G01N19/04—Measuring adhesive force between materials, e.g. of sealing tape, of coating
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Organic Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention relates to a kaolin preparation device based on the Internet of things and a control method, belonging to the technical field of kaolin preparation. When the kaolin coating is prepared, the image information in the preparation process is collected, the image is identified, and when the identification result meets the preset identification result, the kaolin coating is detected, so that whether the coating meets the preset condition is judged, if not, the kaolin coating is stirred again, the condition that the kaolin coating does not meet the requirement is effectively avoided being prepared in the preparation process, and the industrialization of the preparation of the kaolin coating is facilitated.
Description
Technical Field
The invention relates to the technical field of kaolin preparation, in particular to a kaolin preparation device based on the Internet of things and a control method.
Background
The kaolin is clay mineral with kaolinite as main component, commonly called as "porcelain clay", and includes kaolinite, nacrite, dickite, halloysite and other minerals. The crystal chemical formula of kaolinite is Al4[ Si ]4O10］(OH)8It is a 1: 1 layered phyllosilicate mineral whose crystal structure is composed of a silicon-oxygen tetrahedral layer and an aluminum-oxygen octahedral layer, which are connected by a hydroxide bond. China has abundant kaolin reserves, 21 hundred million t of ascertained resources account for 9.46 percent of the ascertained resources in the world, is second only to America and India, and is third in the world, and is mainly distributed in Guangdong, shaanxi, fujian, jiangxi, guangxi and the like. They can be classified into hard kaolin, soft kaolin and sandy kaolin according to their texture, plasticity and sand, and coal-based kaolin and non-coal-based kaolin according to their cause. The kaolin coating is a solid film which is coated on the surface of an object and has certain adhesive force, hardness and flatness, and the solid film is called as a coating film, a coating layer and the like, and has the characteristics of attractive appearance, fire resistance and the likeThe method is used for decoration engineering in the aspect of buildings. The common coating at present consists of resin and a high molecular compound, has the characteristics of good viscosity and the like, but the coating can generate harmful gas and harm human bodies. Meanwhile, the addition of an auxiliary agent containing a volatile organic compound in the preparation process improves the performance of the coating and can generate irritant gas. The inorganic coating has the characteristics of high hardness, high temperature resistance, water resistance, corrosion resistance, good flame retardance and the like, can resist the high temperature of 400-1 000 ℃, and is a research hotspot of high-temperature coatings.
However, many problems still exist in the preparation process of the kaolin coating at present, such as poor adhesion of the prepared kaolin coating, easy occurrence of pores on the surface of a coating when the prepared kaolin is coated on a material, and influence on the brushing effect and the service performance of the coating.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a kaolin preparation device based on the Internet of things and a control method.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a kaolin preparation device based on the Internet of things, which comprises a preparation box body, a mixing module and a testing module, wherein the mixing module comprises a driving motor arranged at the bottom of the preparation box body, the output end of the driving motor is communicated with a first gear, the first gear is at least meshed with two groups of second gears, the second gears are communicated with rotating shafts, sealing rings are arranged on the rotating shafts, the sealing rings are arranged on the preparation box body, a plurality of rotating blades are arranged on the rotating shafts, and magnetic coils are arranged on the rotating blades;
the test module comprises a supporting seat arranged on the side part of the preparation box body, a first hydraulic cylinder and a second hydraulic cylinder are arranged on the supporting seat and are arranged in parallel, the output ends of the first hydraulic cylinder and the second hydraulic cylinder are both connected with a detection platform, and a plurality of grooves are formed in the detection platform;
the top of preparation box still is provided with a plurality of linear guide rails, be provided with first telescopic link on the linear guide rail, one of first telescopic link is served and is provided with the test briquetting, be provided with pressure sensor on the test briquetting, with pass through pressure sensor acquires the pressure value that receives to whether the kaolin in the preparation box reaches the predetermined standard according to the pressure value that receives.
Further, in a preferred embodiment of the present invention, a central line of the groove of the detection platform faces a center of the test pressure block, and the test pressure block is provided with a plurality of scraping sheets.
Further, in a preferred embodiment of the present invention, a second telescopic rod is further disposed on the linear sliding rail, a telescopic portion of the second telescopic rod is disposed inside the outer casing, and the inside of the second telescopic rod is a hollow structure.
Further, in a preferred embodiment of the present invention, one end of the second telescopic rod is further connected to a vacuum suction block, and one end of the vacuum suction block is connected to an air duct.
Further, in a preferred embodiment of the present invention, the vacuum suction block is provided with a plurality of through holes and a cavity portion, the through holes are all collected in the cavity portion, and the cavity portion is provided with channels, and the channels are spirally distributed on the upper portion of the vacuum suction block in a vertical direction so as to connect the air guide tube through the channels.
Further, in a preferred embodiment of the present invention, an infrared imager is further disposed on a side portion of the preparation box, so as to obtain image information in the preparation box through the infrared imager, and start the test module and the mixing module according to the image information.
Further, in a preferred embodiment of the present invention, the air duct penetrates through the inside of the second telescopic rod, and the air duct is communicated with an external air pump.
Further, in a preferred embodiment of the present invention, the top of the preparation box body is provided with a plurality of solution tanks, one end of each solution tank is connected with a control valve, and the other end of each control valve is communicated with a flow injection pipe.
The invention provides a control method of a kaolin preparation device based on the Internet of things, which is applied to any one of the kaolin preparation devices based on the Internet of things and comprises the following steps:
acquiring an image in the preparation box body through an infrared imager;
establishing an image recognition model based on a neural network, and importing a pre-trained image into the recognition model to obtain a trained image recognition model;
leading the image in the preparation box body into the trained image recognition model to obtain a recognition result;
comparing the recognition result with a preset recognition result to obtain a deviation rate;
and judging whether the deviation rate is greater than a preset deviation rate threshold value, and if so, starting the test module.
Further, in a preferred embodiment of the present invention, the control method for the kaolin preparation apparatus based on the internet of things is characterized by further comprising the following steps:
acquiring a pressure value to which a test pressing block bears when scraping off a kaolin coating on a detection platform through a pressure sensor;
recording the pressure values, establishing a removed data model, and introducing the pressure values subjected to the test pressure into the removed data model to obtain a plurality of test pressure values from which preset data are removed;
calculating an average test pressure value based on the test pressure value after the preset data are removed, and taking the average test pressure value as a coating adhesion test value;
and judging whether the coating adhesion force test value is smaller than a preset adhesion force value, and if so, sending a control signal to start the mixing system.
The invention solves the defects in the background technology, and has the following beneficial effects:
the kaolin coating preparation method is provided with the testing module, the image information in the preparation process is collected when the kaolin coating is prepared, the image is identified, when the identification result meets the preset identification result, the kaolin coating is detected, so that whether the coating meets the preset condition or not is judged, if not, the kaolin coating is stirred again, and therefore, the preparation of the kaolin coating which does not meet the requirement in the preparation process can be effectively avoided, the preparation efficiency is improved, and the industrialization of the preparation of the kaolin coating is facilitated. The invention is provided with the mixing module, can fully mix the reacted substances, is provided with the plurality of rotating blades, can drive the plurality of rotating blades by utilizing one driving motor, has simple design, can achieve better mixing effect, improves the utilization efficiency of the driving motor, and is beneficial to the heat dissipation of the driving motor because the driving motor and the sealing ring are arranged at the outer side of the preparation box body, thereby prolonging the service life of the driving motor and meeting the use requirement of the driving motor for long-time work. And the invention is provided with the infrared imager, can obtain the image information in the preparation course through the infrared imager, thus judge whether the picture in the test course has obvious space on the detection platform, if there is not long enough to explain the time of stirring, need to carry on longer stirring time, make the coating mix more evenly, improve and brush the back coating and more level and better performance.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings of the embodiments can be obtained according to the drawings without creative efforts.
Fig. 1 shows a schematic overall structure diagram of a kaolin preparation device based on the internet of things;
FIG. 2 is a schematic diagram of the internal structure of a kaolin preparation device based on the Internet of things;
FIG. 3 shows a schematic diagram of a partial structure of a test module;
FIG. 4 is a schematic diagram of a partial structure of a kaolin preparation device based on the Internet of things;
FIG. 5 shows a schematic of the structure of a test compact;
FIG. 6 shows a schematic cross-sectional view of a portion of an Internet of things-based kaolin preparation device;
FIG. 7 is a partial schematic view of a hybrid module;
FIG. 8 is a schematic cross-sectional view of a seal ring;
FIG. 9 illustrates a method flow diagram of a method of controlling an Internet of things-based kaolin preparation device;
fig. 10 shows a partial method flowchart of a control method of an internet of things-based kaolin preparation device.
In the figure:
1. the method comprises the steps of preparing a box body, 2, mixing a module, 3, a testing module, 201, a driving motor, 202, a first gear, 203, a second gear, 204, a rotating shaft, 205, a sealing ring, 206, a rotating blade, 301, a supporting seat, 302, a first hydraulic cylinder, 303, a second hydraulic cylinder, 304, a detection platform, 401, a linear sliding rail, 402, a first telescopic rod, 403, a testing pressing block, 404, a pressure sensor, 405, a scraping sheet, 406, a second telescopic rod, 407, an outer shell, 408, a vacuum suction block, 409, an air duct, 410, an infrared imager, 411, a solution box, 412, a control valve and 413, and a flow injection tube.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described in detail with reference to the accompanying drawings and the detailed description, wherein the drawings are simplified schematic drawings and only the basic structure of the present invention is illustrated schematically, so that only the structure related to the present invention is shown, and it is to be noted that the embodiments and features of the embodiments in the present application can be combined with each other without conflict.
In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner, and are not to be considered limiting of the scope of the present application. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the invention, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art through specific situations.
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
The invention provides a kaolin preparation device based on the Internet of things, which comprises a preparation box body 1, a mixing module 2 and a testing module 3, wherein the mixing module 2 comprises a driving motor 201 arranged at the bottom of the preparation box body 1, the output end of the driving motor 201 is communicated with a first gear 202, the first gear 202 is meshed and connected with at least two groups of second gears 203, the second gears 203 are communicated with a rotating shaft 204, a sealing ring 205 is arranged on the rotating shaft 204, the sealing ring 205 is arranged on the preparation box body 1, a plurality of rotating blades 206 are arranged on the rotating shaft 204, and magnetic coils are arranged on the rotating blades 206;
it should be noted that the driving motor 201 is used to drive the first gear 202, and the first gear 203 can be meshed with the plurality of second gears 203, so that the second gears 203 drive the rotating shaft 204, and the rotating blades 206 arranged on the rotating shaft 204 can rotate, so that the driving motor 201 can be used to drive the plurality of rotating blades 206 to prepare the kaolin coating in the preparation box 1, thereby improving the mixing effect in the preparation process, and the driving motor can be used to drive the plurality of rotating blades 206, as shown in the figure, the second gear 203 can be further connected to the side end of the second gear 203, and so on, so that the utilization efficiency of the driving motor 201 can be fully utilized. On the other hand, since the driving motor 201 is disposed outside the preparation box 1, heat dissipation of the driving motor 201 is facilitated, and thus the service life of the driving motor 201 is prolonged. And this device is provided with sealing washer 205, can avoid preparing the condition that the inside kaolin coating of box 1 leaked effectively and appear, in addition, be provided with magnetic coil on rotating vane 206, magnetic coil can be heat energy with electric energy conversion to can heat the inside kaolin coating of preparation box 1, owing to set up a plurality of rotating vane 206, make the heat can evenly and carry out the heat exchange with the inside kaolin coating of preparation box 1 fast, thereby improve the speed of heat exchange, make the reaction rate between the reactant increase, thereby improve the preparation efficiency of kaolin coating.
The test module 3 comprises a support seat 301 arranged on the side part of the preparation box body 1, a first hydraulic cylinder 302 and a second hydraulic cylinder 303 are arranged on the support seat 301, the first hydraulic cylinder 302 and the second hydraulic cylinder 303 are arranged in parallel, the output ends of the first hydraulic cylinder 302 and the second hydraulic cylinder 303 are both connected with a detection platform 304, and a plurality of grooves are arranged on the detection platform 304;
it should be noted that, on one hand, the first hydraulic cylinder 302 and the second hydraulic cylinder 303 may be used to communicate with the detection platform 304, and the first hydraulic cylinder 302 and the second hydraulic cylinder 303 may be used to drive, so that the test operation may be performed alternately, and the actual condition of the coating on the detection platform 304 may be measured for multiple times, at this time, the image information of the coating on the detection platform coated in the groove of the detection platform 304 may be obtained by the infrared imager, at this time, the coating image in the groove may be compared with the preset coating image, the process may be identified by the neural network, for example, whether there is an obvious pore surface layer in the coating image may be identified by using the convolutional neural network, the deep learning algorithm, the machine learning algorithm, and the like, the preset coating image is a normal surface layer without obvious pores, when the coating image is the surface layer with the obvious pores, the time in the process of preparing the kaolin coating can be judged to be insufficient, a control system (such as a computer) is utilized to send out a continuous mixing instruction, and the mixing module 2 is continuously started. When the water content is not in accordance with the water content, more pores can be remained on the coating surface of the coating, and the preparation material is styrene-acrylic emulsion, so that the pores are remained on the coating surface because the styrene-acrylic emulsion has good film forming property, bubbles can not float and break in the stirring process, the pores are generated on the coating surface after coating, the coating effect and the service performance of the coating are influenced, the detection function is added in the preparation process, the coating can be stirred continuously in time, the phenomenon that the pores are generated on the coating surface after coating is effectively reduced, and the coating is in accordance with the use in the fields of building production, industrial production and the like.
The top of the preparation box body 1 is further provided with a plurality of linear guide rails 401, a first telescopic rod 402 is arranged on each linear guide rail 401, one end of each first telescopic rod 402 is provided with a test pressing block 403, a pressure sensor 404 is arranged on each test pressing block 403, so that the pressure sensor 404 can obtain the pressure value received by the pressure sensor 404, and whether the kaolin in the preparation box body 1 reaches the preset standard or not is judged according to the pressure value received by the pressure sensor 404.
Further, in a preferred embodiment of the present invention, a plurality of solution tanks 411 are disposed on the top of the preparation tank 1, one end of each solution tank 411 is connected to a control valve 412, and the other end of each control valve 412 is connected to a flow injection pipe 413.
It should be noted that, when the second telescopic rod 406 is used under the action of the linear guide rail 401, the second telescopic rod 406 moves to a predetermined position, and a displacement sensor can be arranged on the detection platform 304, so that the second telescopic rod 406 can move to the predetermined position, so that the vacuum suction block 408 is used for sucking part of the paint in the preparation box 1, and the sucked paint is moved to a designated position on the detection platform 304 to be placed on the detection platform 304, so that the arc-shaped side part of the vacuum suction block 408 uniformly coats the paint on the detection platform 304 in the groove of the detection platform 304, after standing for a period of time, and after the paint is dried, the first telescopic rod 402 is extended and moved to a coating position on the detection platform to apply a distance smaller than a preset standard distance between the coating surface and the scraping sheet 405, because the distance between the coating surface and the contact surface between the scraping sheet 405 is not consistent, the scraping force applied to the coating is not consistent, that the pressure applied to the pressure sensor is not consistent, and the pressure value is used for determining whether the adhesion force of the kaolin paint on the preset material meets the preset adhesion force, and when the control system determines that the kaolin paint adhesion force on the preset adhesive force of the kaolin material does not meet the preset adhesion forceIn application, it can be understood that the water content is insufficient or excessive in the preparation process of the kaolin coating, so that the proper amount of water is injected into the kaolin coating through the injection pipe 413 by opening the control valve 412 through the aqueous solution in the solution tank 411 according to the actual condition of the adhesion, so that the adhesion strength of the prepared kaolin coating attached to the preset material is in accordance with the actual requirement. Wherein the adhesive force strength can be calculated according to a calculation formula
And calculating to obtain the adhesive strength K, the actual value tested by the pressure sensor F, the thickness of the coating H and the area value when the vacuum suction block is contacted with the detection platform S.
Further, in a preferred embodiment of the present invention, the center line of the groove of the detecting platform 304 is opposite to the center of the testing press block 403, and a plurality of scraping sheets 405 are disposed on the testing press block 403.
It should be noted that the central line of the groove of the inspection platform 304 is directly opposite to the center of the test pressure block 403, which is beneficial to that the test block 403 can move to a designated position area each time, so as to provide an alignment basis for inspection.
Further, in a preferred embodiment of the present invention, the linear sliding rail 401 is further provided with a second telescopic rod 406, the telescopic portion of the second telescopic rod 406 is disposed inside the outer housing 407, and the inside of the second telescopic rod 406 is a hollow structure.
Further, in a preferred embodiment of the present invention, one end of the second telescopic rod 406 is further connected to a vacuum suction block 408, and one end of the vacuum suction block 408 is connected to an air duct 409.
Further, in a preferred embodiment of the present invention, the vacuum suction block 408 is provided with a plurality of through holes and a cavity portion, the through holes are all collected in the cavity portion, and the cavity portion is provided with channels, and the channels are spirally distributed on the upper portion of the vacuum suction block in the vertical direction so as to connect the air duct 409 through the channels.
It should be noted that, an external air pump is used to suck air in the vacuum suction block 408, so that the vacuum suction block 408 and the pressure inside the preparation tank 1 form a negative pressure relationship, the vacuum suction block 408 is used to suck part of the coating from the preparation tank 1, the coating enters the cavity through the through hole, because the through hole is spirally distributed on the upper part of the vacuum suction block 408 in the vertical direction, and a proximity sensor can be arranged in the channel, when the proximity sensor detects that the coating exists in the channel, the air pump keeps a certain air pump amount, so that a certain amount of coating can be sucked into the cavity each time, when the coating is coated on the detection platform 304, the coating of the cavity flows out of the through hole and is placed on the groove surface of the detection platform 304, and the arc-shaped surface of the vacuum suction block 408 is uniformly coated in the groove of the groove surface, so that the kaolin coating can be detected in real time in the process of preparing the kaolin coating, when the properties of the prepared kaolin do not meet the preset standards, the adjustment is performed according to the actual conditions, such as water content, the coating is uniformly coated in the grooves of the detection platform 304, the grooves, the conditions that the kaolin coating preparation process is not completely stirred, and the kaolin coating preparation process can be effectively improved, thereby the kaolin coating preparation efficiency can be effectively avoided, and the conditions that the kaolin preparation process of the kaolin coating can be effectively improved, and the kaolin preparation process can be further, and the kaolin preparation efficiency can be effectively improved, and the kaolin preparation efficiency can be improved.
Further, in a preferred embodiment of the present invention, the side of the preparation box is further provided with an infrared imager 410, so as to obtain image information in the preparation box 1 through the infrared imager 410, and start the test module 3 and the mixing module 2 according to the image information.
It should be noted that, on the other hand, the image in the preparation box is obtained by the infrared imager 410, for example, whether an obvious pore surface layer exists in the coating image can be identified by using a convolutional neural network, a deep learning algorithm, a machine learning algorithm, and the like, when the identification result meets the standard for detecting the coating, if the coating does not have an obvious bubble phenomenon in the shot image, no obvious pore exists on the coating surface, and the like, the result can be identified in the above manner, when the result is identified, the test module is started, at this time, the external air pump is used for sucking the air in the vacuum suction block 408, so that the vacuum suction block 408 and the pressure inside the preparation box 1 form a negative pressure relationship, the vacuum suction block 408 is used for sucking part of the coating from the preparation box 1, the coating enters the cavity through the through hole, when the coating is coated on the detection platform, the coating in the cavity flows out from the through hole and is placed on the groove surface of the detection platform, and the coating on the groove surface is uniformly coated in the groove of the detection platform by using the arc surface of the vacuum suction block.
Further, in a preferred embodiment of the present invention, the air duct 409 penetrates through the inside of the second telescopic rod 406, and the air duct 409 is connected to an external air pump.
The invention provides a control method of a kaolin preparation device based on the Internet of things, which is applied to any one of the kaolin preparation devices based on the Internet of things and comprises the following steps:
s102, acquiring an image in a preparation box body through an infrared imager;
s104, establishing an image recognition model based on a neural network, and importing a pre-trained image into the recognition model to obtain a trained image recognition model;
s106, importing the image in the preparation box body into the trained image recognition model to obtain a recognition result;
s108, comparing the identification result with a preset identification result to obtain a deviation ratio;
and S110, judging whether the deviation rate is greater than a preset deviation rate threshold value, and if so, starting the test module.
It should be noted that, the image in the preparation box is obtained by the infrared imager, for example, it can be identified whether there is an obvious pore surface layer in the coating image by using convolutional neural network, deep learning algorithm, machine learning algorithm, etc., when the identification result meets the standard for detecting the coating, the result can be identified by the above method, for example, the coating in the shot image has no obvious bubble phenomenon, no obvious pore on the coating surface, etc., when the result is identified, the test module is started, at this time, the air in the vacuum suction block is sucked by the external air pump, so that the vacuum suction block and the pressure inside the preparation box form a negative pressure relationship, the vacuum suction block sucks part of the coating from the preparation box, the coating enters into the cavity through the through hole, when the coating is coated on the detection platform, the coating of the cavity part flows out of the through hole and is placed on the surface of the groove of the detection platform, the coating on the surface of the groove is uniformly coated in the groove of the detection platform by utilizing the arc-shaped surface of the vacuum suction block, at the moment, the image information of the coating on the detection platform, which is coated in the groove of the detection platform, can be obtained by an infrared imager, at the moment, the coating image in the groove can be compared with a preset coating image, the process can be identified by a neural network, for example, whether an obvious pore surface layer exists in the coating image can be identified by utilizing a convolutional neural network, a deep learning algorithm, a machine learning algorithm and the like, the preset coating image is a normal surface layer without obvious pores, when the coating image is the surface layer with the obvious pores, the time shortage in the process of preparing the kaolin coating can be judged, and a continuous mixing instruction is sent by utilizing a control system, the mixing module is continuously started, and the phenomenon that particles are rough in the preparation of the kaolin and the phenomenon that pores are generated in the preset material when the kaolin is coated can be effectively avoided by using the method, so that the preparation quality of the coating is higher in the preparation process of the kaolin coating, and the coating coated on the preset material by the kaolin coating is smoother and better in performance.
Further, in a preferred embodiment of the present invention, the control method for the internet-of-things-based kaolin preparation device is characterized by further comprising the following steps:
s202, acquiring a pressure value to which a test pressing block is subjected when a kaolin coating on a detection platform is scraped through a pressure sensor;
s204, recording the pressure value, establishing a rejection data model, and leading the pressure value subjected to the test pressure into the rejection data model to obtain a plurality of test pressure values after preset data are rejected;
s206, calculating an average test pressure value based on the test pressure value after the preset data are removed, and taking the average test pressure value as a coating adhesion test value;
and S208, judging whether the coating adhesion force test value is smaller than a preset adhesion force value, and if so, sending a control signal to start a mixing system.
It should be noted that the elimination data model includes a trend removing algorithm, a drift node can be removed by using the trend removing algorithm, the drift node can be understood as a detection node having a large deviation with experimental data, so as to obtain an effective test pressure value, since the vacuum suction block can suck the same amount of paint each time, the test pressure value obtained by the test can be always close, and the accuracy of the test paint can be improved by performing multiple groups of detection once, so as to calculate an average test pressure value according to the effective test pressure value, and the adhesive force strength can be calculated according to a calculation formula
Is calculated to obtain whereinKIn order to enhance the adhesive strength,Ffor the actual value measured by the pressure sensor,Hin order to be the thickness of the coating,Sthe area value of the vacuum suction block when the vacuum suction block is contacted with the detection platform. When the coating adhesive force test value is smaller than the preset adhesive force strength, the hybrid system is continuously started at the moment, the driving motor is utilized to drive the first gear, the first gear can be meshed with the second gears to be connected, the second gear drives the rotating shaft, and the rotating blades arranged on the rotating shaft can rotate, so that the driving motor can be used to drive the rotating blades to continuously prepare the kaolin coating in the preparation box bodyAnd (3) setting the adhesive force, and when the control system judges that the adhesive force of the kaolin coating layer attached to the preset material does not meet the preset adhesive force, the water content in the preparation process of the kaolin coating is insufficient or excessive, so that the water is injected into the kaolin coating layer attached to the preset material through the injection pipe by opening the control valve through the aqueous solution in the solution tank according to the actual condition of the adhesive force, and the adhesive force strength of the prepared kaolin coating layer attached to the preset material meets the actual requirement.
In summary, on one hand, the kaolin coating preparation method is provided with the test module, the image is identified by collecting the image information in the preparation process when the kaolin coating is prepared, and when the identification result meets the preset identification result, the kaolin coating is detected, so that whether the coating meets the preset condition is judged, and if not, the kaolin coating is stirred again, so that the preparation of the kaolin coating which does not meet the requirement in the preparation process can be effectively avoided, the preparation efficiency is improved, and the industrialization of the kaolin coating preparation is facilitated.
On the other hand, the mixing module is arranged, the reaction substances can be fully mixed, the rotating blades are arranged, one driving motor can be used for driving the rotating blades, the design is simple, a better mixing effect can be achieved, the utilization efficiency of the driving motor is improved, and on the other hand, the driving motor and the sealing ring are arranged on the outer side of the preparation box body, so that the heat dissipation of the driving motor is facilitated, the service life of the driving motor can be prolonged, and the use requirement of the driving motor for long-time work can be met. And the invention is provided with the infrared imager, can obtain the image information in the preparation course through the infrared imager, thus judge whether the picture in the test course has obvious space on the detection platform, if there is not long enough to explain the time of stirring, need to carry on longer stirring time, make the coating mix more evenly, improve and brush the back coating and more level and better performance.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
In light of the foregoing description of the preferred embodiment of the present invention, it is to be understood that various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and the technology must be determined in accordance with the scope of the claims.
Claims (4)
1. A kaolin preparation device based on the Internet of things comprises a preparation box body, a mixing module and a testing module, and is characterized in that,
the mixing module comprises a driving motor arranged at the bottom of the preparation box body, the output end of the driving motor is communicated with a first gear, the first gear is meshed with at least two groups of second gears, the second gears are both communicated with a rotating shaft, a sealing ring is arranged on the rotating shaft, the sealing ring is arranged on the preparation box body, a plurality of rotating blades are arranged on the rotating shaft, and magnetic force coils are arranged on the rotating blades;
the test module comprises a supporting seat arranged on the side part of the preparation box body, a first hydraulic cylinder and a second hydraulic cylinder are arranged on the supporting seat and are arranged in parallel, the output ends of the first hydraulic cylinder and the second hydraulic cylinder are both connected with a detection platform, and a plurality of grooves are formed in the detection platform;
the top of the preparation box body is also provided with a plurality of linear guide rails, a first telescopic rod is arranged on each linear guide rail, a test pressing block is arranged at one end of each first telescopic rod, a pressure sensor is arranged on each test pressing block, so that the pressure sensor can obtain the pressure value received by the pressure sensor, and whether the kaolin in the preparation box body reaches a preset standard or not is judged according to the received pressure value;
the central line of the groove of the detection platform is over against the center of the test pressing block, and a plurality of scraping sheets are arranged on the test pressing block;
the linear guide rail is also provided with a second telescopic rod, the telescopic part of the second telescopic rod is arranged inside the outer shell, and the inside of the second telescopic rod is of a hollow structure;
one end of the second telescopic rod is also connected with a vacuum suction block, and one end of the vacuum suction block is connected with an air guide pipe;
the side part of the preparation box body is also provided with an infrared imager so as to obtain image information in the preparation box body through the infrared imager and start the test module and the mixing module according to the image information;
the top of the preparation box body is provided with a plurality of solution tanks, one ends of the solution tanks are connected with control valves, and the other ends of the control valves are communicated with the injection pipes.
2. The kaolin preparation device based on the Internet of things of claim 1, wherein the vacuum suction block is provided with a plurality of through holes and a cavity part, the through holes are collected in the cavity part, the cavity part is provided with a channel, and the channel is spirally distributed on the upper part of the vacuum suction block in the vertical direction so as to be connected with the air guide tube through the channel.
3. The internet-of-things-based kaolin preparation device according to claim 1, wherein the air duct penetrates through the inside of the second telescopic rod, and the air duct is communicated with an external air pump.
4. The control method of the kaolin preparation device based on the Internet of things is characterized by being applied to the kaolin preparation device based on the Internet of things as claimed in any one of claims 1 to 3, and comprising the following steps:
acquiring an image in the preparation box body through an infrared imager;
establishing an image recognition model based on a neural network, and importing a pre-trained image into the recognition model to obtain a trained image recognition model;
leading the image in the preparation box body into the trained image recognition model to obtain a recognition result;
comparing the recognition result with a preset recognition result to obtain a deviation rate;
judging whether the deviation rate is greater than a preset deviation rate threshold value or not, and if so, starting the test module;
acquiring a pressure value to which a test pressing block bears when scraping off a kaolin coating on a detection platform through a pressure sensor;
recording the pressure values, establishing a removed data model, and introducing the pressure values of the test pressing block into the removed data model to obtain a plurality of test pressure values from which preset data are removed;
calculating an average test pressure value based on the test pressure value after the preset data are removed, and taking the average test pressure value as a coating adhesion test value;
and judging whether the coating adhesion force test value is smaller than a preset adhesion force value, and if so, sending a control signal to start a mixing system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210407043.6A CN114778246B (en) | 2022-04-19 | 2022-04-19 | Kaolin preparation device based on Internet of things and control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210407043.6A CN114778246B (en) | 2022-04-19 | 2022-04-19 | Kaolin preparation device based on Internet of things and control method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114778246A CN114778246A (en) | 2022-07-22 |
| CN114778246B true CN114778246B (en) | 2022-11-01 |
Family
ID=82430965
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210407043.6A Active CN114778246B (en) | 2022-04-19 | 2022-04-19 | Kaolin preparation device based on Internet of things and control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114778246B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006299255A (en) * | 2005-03-25 | 2006-11-02 | Fuji Photo Film Co Ltd | Method for producing dope |
| CN206891938U (en) * | 2017-06-09 | 2018-01-16 | 华东师范大学 | A kind of device for preparing two-dimensional layer material automatically based on shearing force |
| CN108340492A (en) * | 2017-12-30 | 2018-07-31 | 中交二航局第四工程有限公司安徽分公司 | Vibration isolation support sets the concrete for making device of hole leaf |
| CN208232121U (en) * | 2018-04-02 | 2018-12-14 | 北京易联结科技发展有限公司 | A kind of novel high polymer material mixing machine |
| CN109847630A (en) * | 2019-02-14 | 2019-06-07 | 广州祥宇工业器材有限公司 | A kind of printing coatings production system of adjust automatically viscosity |
| CN209646306U (en) * | 2018-11-20 | 2019-11-19 | 上海弘业涂料科技发展有限公司 | A kind of concentration of water paint adjusting test device |
| CN110697439A (en) * | 2017-09-19 | 2020-01-17 | 中国计量大学 | Screw type material blanking device controller based on variable speed learning |
| CN211189792U (en) * | 2019-07-25 | 2020-08-07 | 广东省建筑科学研究院集团股份有限公司 | MOF preparation tank automatic supply device for building aluminum profile pretreatment process |
| CN113059508A (en) * | 2021-04-20 | 2021-07-02 | 华侨大学 | Preparation device and method for abrasive particle arrangement system optimized grinding tool |
| CN113209864A (en) * | 2021-05-11 | 2021-08-06 | 贾锦锦 | Sound insulation coating filtering production integrated equipment and production process |
| CN217163925U (en) * | 2021-12-23 | 2022-08-12 | 天津市津海特种涂料装饰有限公司 | Coating mixing mechanism for coating production |
-
2022
- 2022-04-19 CN CN202210407043.6A patent/CN114778246B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006299255A (en) * | 2005-03-25 | 2006-11-02 | Fuji Photo Film Co Ltd | Method for producing dope |
| CN206891938U (en) * | 2017-06-09 | 2018-01-16 | 华东师范大学 | A kind of device for preparing two-dimensional layer material automatically based on shearing force |
| CN110697439A (en) * | 2017-09-19 | 2020-01-17 | 中国计量大学 | Screw type material blanking device controller based on variable speed learning |
| CN108340492A (en) * | 2017-12-30 | 2018-07-31 | 中交二航局第四工程有限公司安徽分公司 | Vibration isolation support sets the concrete for making device of hole leaf |
| CN208232121U (en) * | 2018-04-02 | 2018-12-14 | 北京易联结科技发展有限公司 | A kind of novel high polymer material mixing machine |
| CN209646306U (en) * | 2018-11-20 | 2019-11-19 | 上海弘业涂料科技发展有限公司 | A kind of concentration of water paint adjusting test device |
| CN109847630A (en) * | 2019-02-14 | 2019-06-07 | 广州祥宇工业器材有限公司 | A kind of printing coatings production system of adjust automatically viscosity |
| CN211189792U (en) * | 2019-07-25 | 2020-08-07 | 广东省建筑科学研究院集团股份有限公司 | MOF preparation tank automatic supply device for building aluminum profile pretreatment process |
| CN113059508A (en) * | 2021-04-20 | 2021-07-02 | 华侨大学 | Preparation device and method for abrasive particle arrangement system optimized grinding tool |
| CN113209864A (en) * | 2021-05-11 | 2021-08-06 | 贾锦锦 | Sound insulation coating filtering production integrated equipment and production process |
| CN217163925U (en) * | 2021-12-23 | 2022-08-12 | 天津市津海特种涂料装饰有限公司 | Coating mixing mechanism for coating production |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114778246A (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105198274B (en) | A kind of compound waterproofing agent of organosilicon of fluoroalkyl and its preparation method and application | |
| CN105670348A (en) | All-lyophobic bionic anti-fouling self-cleaning coating and preparation method thereof | |
| CN114778246B (en) | Kaolin preparation device based on Internet of things and control method | |
| CN110190234B (en) | Ceramic coating slurry for lithium battery diaphragm and ceramic coating diaphragm | |
| CN106634389A (en) | Coating for preparing lubricating hydrophilic coating and application thereof | |
| CN103936295A (en) | Anti-reflective super-amphiphobic glass surface layer and preparation method thereof | |
| CN216718412U (en) | Water quality online monitoring station of reservoir safety monitoring automatic system | |
| US11807539B2 (en) | Heat exchanger and manufacturing method thereof | |
| CN114984769A (en) | Fluoropolymer hollow fiber hydrophobic porous membrane and preparation method thereof | |
| US11885762B2 (en) | Iridium/iridium oxide electrode for quantitatively detecting pH in sulfide ion environment, and preparation method and use thereof | |
| WO2020251573A1 (en) | Composition and method for preparing corrosion resistant multifunctional coatings | |
| US20230333047A1 (en) | Reference electrode with speek/il sandwich structure, and preparation method and use thereof | |
| CN212499478U (en) | Printed matter film covering device | |
| CN217628656U (en) | Water electrolysis hydrogen production cooling cycle equipment | |
| CN115337791A (en) | Hollow fiber porous membrane and preparation method and application thereof | |
| CN214066431U (en) | Heat exchanger oil leak detection device for chemical production | |
| CN214893880U (en) | Air tightness detection device of energy accumulator | |
| CN213239726U (en) | Coated glass machining resistance testing device | |
| CN211696821U (en) | Multi-path leakage detection device | |
| CN214354807U (en) | Printing roller cooling device for printing equipment | |
| CN112661493B (en) | Modified fly ash support, modification method of fly ash support, fly ash ceramic membrane, preparation method and application of fly ash ceramic membrane | |
| CN206364095U (en) | A kind of lithium battery dedicated ceramic barrier film | |
| CN214672227U (en) | Capacitor core impregnating equipment convenient to control | |
| CN207449417U (en) | A kind of negative pressure adds the ink adding cartridge of ink | |
| CN110534775A (en) | A kind of flow battery positive and negative anodes electrolyte migration control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |