Long glass fiber reinforced polypropylene intelligent production device based on Internet of Things

Abstract

The invention relates to the technical field of composite material forming, in particular to a long glass fiber reinforced polypropylene intelligent production device based on the Internet of Things. According to the invention, an extrusion molding module, a traction mechanism, an information polymerization module and a molding control module are arranged; a glass fiber bundle is coated with a polypropylene melt through the extrusion molding module; dragging the plurality of glass fiber bundles to the infiltrating mold through a dragging mechanism, and obtaining dust particle parameters of each glass fiber bundle; a dust particle change curve and a dust particle change reference curve are obtained through a drawing unit, and electrostatic characteristic glass fiber bundles are screened through a screening unit; the molding control module determines the electrostatic influence type of the polypropylene molding process according to the position distribution condition of each electrostatic characteristic glass fiber bundle, and selects the polypropylene molding adjustment mode according to the electrostatic influence type, so that the polypropylene molding can be adjusted according to the electrostatic influence difference of the glass fiber bundles. The molding mode of the long glass fiber reinforced polypropylene is adaptively adjusted, and the performance consistency of the product is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of composite material molding, and in particular to an intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things. Background Art

[0002] As the manufacturing industry is swept by the wave of intelligent and digital transformation, the traditional polymer composite material production industry is also facing tremendous pressure for change. As an important high-performance composite material, long glass fiber reinforced polypropylene is widely used in many fields such as automobiles, electronics, and construction. Intelligent production can improve production efficiency, reduce labor costs, and enhance product quality stability. Traditional long glass fiber reinforced polypropylene production equipment often relies on manual inspections and local instrument monitoring. Small fluctuations in key parameters are not easy to be detected in time, affecting the performance consistency of the product. Quality control mainly relies on finished product sampling inspection. There is a lack of effective online quality monitoring and control methods in the production process. Once sampling finds that the product quality is unqualified, a large number of defective products have often been produced, resulting in waste of resources. Therefore, in the production process of long glass fiber reinforced polypropylene, it is a technical problem to quickly discover abnormal fluctuations and adjust the molding process in time.

[0003] For example, the Chinese patent authorization announcement number is: CN118596611B. The invention discloses an extrusion molding device for the production of glass fiber composite materials, including an operating table, an adjustment structure, a height adjustment structure, a resin impregnation box, a curing mold, a conveying structure, a cutting structure and a blanking structure. The setting of the adjustment structure solves the problem that it is difficult to insert the glass fiber roving into the spool, simplifies the operation process, and improves the production efficiency of the glass fiber. The setting of the height adjustment structure is convenient for adjusting the guide angle of the glass fiber roving, which is beneficial for guiding the glass fiber roving to a suitable size and has strong flexibility. The setting of the conveying structure is convenient for conveying the cured glass fiber to the next process and has high conveying efficiency. The cutting structure is used in conjunction with the blanking structure. The setting of the blanking structure is convenient for adjusting the length of the cut glass fiber. The operation is simple and the flexibility is strong.

[0004] The prior art still has the following problems: The prior art does not take into account that during the production process of long glass fiber reinforced polypropylene, the static electricity generated by the traction of the glass fiber bundles will affect the uniformity of the impregnation process. The prior art cannot adaptively adjust the molding method of long glass fiber reinforced polypropylene according to the difference in the static electricity effect on the glass fiber bundles during the production process, which affects the performance consistency of the product. Summary of the invention

[0005] To this end, the present invention provides an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things, so as to overcome the problem that the prior art cannot adaptively adjust the molding method of long glass fiber reinforced polypropylene according to the difference in the static electricity influence on the glass fiber bundles during the production process, thereby affecting the performance consistency of the product.

[0006] To achieve the above object, the present invention provides an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things, comprising: An extrusion molding module, comprising a glass fiber splitter for providing continuous glass fiber bundles, an extruder for extruding polypropylene melt, and an impregnation die for coating the glass fiber bundles with the polypropylene melt; A traction module, comprising a traction mechanism connected to the glass fiber beam splitter for traction of a plurality of glass fiber bundles to the impregnation mold, and a dust particle detection unit arranged on the traction mechanism for obtaining dust particle parameters of a spatial region where each glass fiber bundle is located; An information aggregation module, which is connected to the traction module and includes a drawing unit and a screening unit, wherein the drawing unit is used to draw a dust particle change curve according to the dust particle parameters and to draw a dust particle change reference curve according to the environmental dust particle parameters; The screening unit is used to screen the electrostatic characteristic glass fiber bundle according to the comparison between the dust particle change curve and the dust particle change reference curve; A molding control module, which is respectively connected to the information aggregation module, the extrusion molding module and the traction module, is used to determine the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle, and select an adjustment method for polypropylene molding according to the electrostatically affected category, including: adjusting the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundle groups composed of adjacent electrostatic characteristic glass fiber bundles; Or, the traction force applied by the traction mechanism to the glass fiber bundle is adjusted according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

[0007] Furthermore, the dust particle parameter is an average value of a number of dust particle diameter values ​​in the spatial region where each glass fiber bundle is located within a preset period.

[0008] Furthermore, the drawing unit is used to draw a dust particle change curve, wherein: The drawing unit obtains the dust particle parameters within the preset period, and draws a dust particle variation curve showing the dust particle parameters varying with time, wherein the dust particle variation curve takes time as the horizontal axis and the dust particle parameters as the vertical axis.

[0009] Furthermore, the drawing unit is also used to draw a dust particle change reference curve, wherein: The drawing unit obtains the environmental dust particle parameters within the preset period, and draws a dust particle change reference curve showing the environmental dust particle parameters changing with time, wherein the dust particle change reference curve takes time as the horizontal axis and the environmental dust particle parameters as the vertical axis.

[0010] Furthermore, the screening unit is used to obtain a comparison between the dust particle change curve and the dust particle change reference curve, wherein: The screening unit obtains the dust particle change curve corresponding to each glass fiber bundle, and determines the difference area between the dust particle change curve and the dust particle change reference curve as the electrostatic difference characterization amount of the glass fiber bundle corresponding to the dust particle change curve.

[0011] Furthermore, the screening unit is also used to screen the glass fiber bundles with electrostatic characteristics, wherein: If the comparison between the dust particle change curve corresponding to the glass fiber bundle and the dust particle change reference curve does not meet the normal conditions of electrostatic characterization, the screening unit determines the glass fiber bundle as an electrostatic characteristic glass fiber bundle; The normal condition for electrostatic characterization is that the electrostatic difference characterization value corresponding to the glass fiber bundle does not exceed a preset electrostatic difference characterization value reference value.

[0012] Furthermore, the molding control module is used to determine the static electricity-affected category of the polypropylene molding process, wherein: The molding control module marks the adjacent electrostatic characteristic glass fiber bundle groups as characteristic glass fiber bundle groups; If the position information of each electrostatic characteristic glass fiber bundle meets the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence concentration category; If the position information of each electrostatic characteristic glass fiber bundle does not meet the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence dispersion category; The electrostatic influence concentration condition is that each electrostatic characteristic glass fiber bundle contains a characteristic glass fiber bundle group.

[0013] Furthermore, the molding control module is also used to select an adjustment method for polypropylene molding, wherein: If the static electricity-affected category is a concentrated static electricity-affected category, the molding control module selects the polypropylene molding adjustment method to adjust the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundles composed of adjacent static electricity characteristic glass fiber bundles; If the electrostatically affected category is an electrostatically affected dispersion category, the molding control module selects an adjustment method for polypropylene molding by adjusting the traction force applied by the traction mechanism to the glass fiber bundle according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

[0014] Furthermore, the extrusion temperature is positively correlated with the number of the characteristic glass fiber bundle groups.

[0015] Furthermore, the traction force is positively correlated with the difference between the maximum value and the minimum value of the characteristic slope, and the characteristic slope is the maximum value of the slopes corresponding to the data points on the dust particle variation curve.

[0016] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention is provided with an extrusion molding module, a traction mechanism, an information aggregation module, and a molding control module, the glass fiber bundle is coated with a polypropylene melt through the extrusion molding module, a plurality of glass fiber bundles are pulled to an impregnation mold through the traction mechanism and the dust particle parameters of each glass fiber bundle are obtained, a dust particle change curve and a dust particle change reference curve are obtained through a drawing unit, an electrostatic characteristic glass fiber bundle is screened according to the comparison between the dust particle change curve and the dust particle change reference curve through a screening unit, the electrostatically affected category of the polypropylene molding process is determined according to the position distribution of each electrostatic characteristic glass fiber bundle through a molding control module, and an adjustment method for polypropylene molding is selected according to the electrostatically affected category, thereby realizing adaptive adjustment of the molding method of long glass fiber reinforced polypropylene according to the difference in the electrostatic influence of the glass fiber bundles, thereby improving the performance consistency of the product.

[0017] In particular, the present invention uses a drawing unit to obtain dust particle parameters within a cycle in real time at preset periodic intervals, and draws a dust particle change curve of the dust particle parameters changing with time. It can be understood that when the glass fiber bundle carries static electricity, it will produce an electrostatic adsorption effect on the surrounding dust particles, and the dust particles will be subjected to a force directed to the glass fiber bundle in the electrostatic field. Due to the existence of the electrostatic adsorption force, the dust particles will gather around the glass fiber bundle. Small-particle dust has a larger specific surface area and is more easily affected by the electric field force in the electrostatic field. At the same time, according to the particle dynamics theory, the migration speed of small-particle dust in the electric field is relatively large, and it is easier to be adsorbed to the surface of the glass fiber bundle. Obtaining the dust particle parameters within the cycle and drawing the curve can realize dynamic monitoring of the dust particle situation of the glass fiber bundle during the production process. Selecting the average value of the dust particle value of each glass fiber bundle at each moment within the cycle as the dust particle parameter can characterize the change of the average dust particle size around each glass fiber bundle over time, thereby realizing dynamic monitoring of the dust particle situation of the glass fiber bundle during the production process and improving the performance consistency of the product.

[0018] In particular, the present invention screens the electrostatic characteristic glass fiber bundle according to the difference area between the dust particle change curve and the dust particle change reference curve through the screening unit. It can be understood that the dust particle change curve reflects the change of the average dust particle size around the glass fiber bundle over time, and the dust particle change reference curve represents the change of the average dust particle size in the space environment. When there is no electrostatic phenomenon in the glass fiber bundle, the change trend of the average dust particle size around it should be similar to the change in the environment. The two curves basically overlap, and the difference area approaches zero. When the glass fiber bundle has static electricity, the electrostatic adsorption effect will change the aggregation of dust particles around the glass fiber bundle and change the average dust particle size. This change will cause the dust particle change curve to deviate from the reference curve, and the difference area will increase. The difference area can characterize the electrostatic adsorption strength of the glass fiber bundle. A larger difference area means that the change of the dust particle size around the glass fiber bundle is greatly different from the environmental reference. When the difference area exceeds the reference value, it characterizes that the glass fiber bundle has electrostatic characteristics. The present invention screens the electrostatic characteristic glass fiber bundle by obtaining the difference area, and then quantifies the degree of abnormal electrostatic phenomenon in the glass fiber bundle during the production process, thereby improving the performance consistency of the product.

[0019] In particular, the present invention determines the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle through the molding control module. It can be understood that when the glass fiber bundle carries static electricity, an electrostatic field will be generated around it. If the electrostatic characteristic glass fiber bundles with electrostatic fields are adjacent, their electrostatic fields will overlap and influence each other. In the polypropylene molding process, the electrostatic field interaction between adjacent electrostatic characteristic glass fiber bundles will lead to the enhancement of the electrostatic effect in the local area. The electrostatic field of the adjacent glass fiber bundles will produce synergistic interference on the flow of the polypropylene melt and the distribution of the glass fiber bundles therein. For non-adjacent electrostatic characteristic glass fiber bundles, they each have a relatively independent impact on the polypropylene molding process. The electrostatic field around each electrostatic characteristic glass fiber bundle mainly affects the area near itself, and the interference with the polypropylene melt is relatively dispersed, and there will be no concentrated and more complex molding defects caused by the superposition of electrostatic fields. The present invention determines the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle, and then realizes the adaptive adjustment of the molding method of long glass fiber reinforced polypropylene according to the difference in the electrostatic influence of the glass fiber bundles, thereby improving the performance consistency of the product.

[0020] In particular, under the condition that the electrostatically affected category is the electrostatically affected concentrated category, the present invention selects the adjustment method of polypropylene molding as adjusting the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundles composed of adjacent electrostatic characteristic glass fiber bundles. It can be understood that under the condition of the electrostatically affected concentrated category, an electrostatically affected concentrated area will be formed around the glass fiber bundle. In this area, due to the superposition of the electrostatic field, the flow of the polypropylene melt is disturbed. The electrostatic field will affect the arrangement and movement of the molecular chains in the polypropylene melt, resulting in unevenness of the polypropylene melt when impregnating and coating the glass fiber bundle, affecting the full contact and impregnation effect of the glass fiber bundle and the polypropylene melt. Changing the extrusion temperature can effectively improve the fluidity of the polypropylene melt. As the temperature rises, The activity of the polypropylene molecular chain is enhanced, and the viscosity of the polypropylene melt is reduced. In the area where the electrostatic influence is concentrated, the improvement in fluidity helps the polypropylene melt to better fill the gaps caused by electrostatic adsorption of dust, so that the polypropylene melt can more evenly coat the glass fiber bundles. The more characteristic glass fiber bundle groups there are, the larger the area where the electrostatic influence is concentrated, and the more obvious the effect of the electrostatic field superposition is. It is necessary to improve the fluidity of the polypropylene melt to a greater extent to cope with more complex electrostatic interference. The extrusion temperature needs to be increased accordingly to ensure that the melt can achieve good impregnation and coating effects in a larger electrostatic influence area. Furthermore, the molding method of long glass fiber reinforced polypropylene is adaptively adjusted according to the difference in the electrostatic influence of the glass fiber bundles, thereby improving the performance consistency of the product.

[0021] In particular, under the condition that the electrostatic influence category is the electrostatic influence dispersion category, the present invention selects the adjustment method of polypropylene molding as adjusting the traction force applied by the traction mechanism to the glass fiber bundle according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle. It can be understood that under the condition of the electrostatic influence dispersion category, the electrostatic characteristic glass fiber bundles are not adjacent, and the electrostatic influence on each glass fiber bundle is relatively independent, and there will be no electrostatic field superposition. The main problem affecting the consistency of the polypropylene molding process is the phenomenon of local agglomeration of a single glass fiber. When the glass fiber bundle is affected by different degrees of electrostatic influence, its tension state will also be different. By increasing the traction force, the local agglomeration of the glass fiber caused by the relaxation of the glass fiber bundle is avoided, and the dust particle change curve The slope represents the change in the dust particle adsorption rate. When the slope is larger, the dust adsorption rate of the glass fiber bundle is faster during this time period, that is, the electrostatic adsorption effect is stronger. By obtaining the maximum slope value of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle, the difference between the maximum and minimum values ​​of the slope maximum value corresponding to each electrostatic characteristic glass fiber bundle is used to characterize the degree of difference in electrostatic adsorption strength between different glass fiber bundles. The larger the difference, the more obvious the difference in electrostatic adsorption strength between the glass fiber bundles, and the more a larger traction force is required to improve the local agglomeration of the glass fiber. Furthermore, according to the difference in the electrostatic influence on the glass fiber bundle, the molding method of the long glass fiber reinforced polypropylene is adaptively adjusted, thereby improving the performance consistency of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a simplified structural diagram of an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things according to an embodiment of the present invention; Figure 2 This is a functional block diagram of an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things according to an embodiment of the present invention; Figure 3 A logic flow chart of a screening unit for screening a glass fiber bundle with electrostatic characteristics according to an embodiment of the present invention; Figure 4 A logic flow chart of a molding control module according to an embodiment of the present invention determining the category of a polypropylene molding process affected by static electricity; In the figure: 1-glass fiber splitter; 2-glass fiber bundle; 3-extruder; 4-traction mechanism; 5-impregnation mold; 6-dust particle detection unit. DETAILED DESCRIPTION

[0023] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0024] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0025] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0026] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] See also Figure 1 as well as Figure 2 As shown, Figure 1 This is a simplified structural diagram of an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things according to an embodiment of the present invention. Figure 2This is a functional block diagram of an intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things according to an embodiment of the present invention. The intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things according to the present invention comprises: An extrusion molding module, comprising a glass fiber splitter 1 for providing a continuous glass fiber bundle 2, an extruder 3 for extruding a polypropylene melt, and an impregnation die 5 for coating the glass fiber bundle 2 with the polypropylene melt; Specifically, the present invention does not limit the specific structure of the glass fiber beam splitter 1. Preferably, it can be a wheel-type glass fiber beam splitter, which is widely used in industrial high-speed production lines and will not be described in detail here.

[0028] Specifically, the present invention does not limit the specific structure of the extruder 3. Preferably, it can be a twin-screw extruder, which produces a forced conveying effect on the polypropylene melt through the rotation of the screw. It is widely used in the plastic processing industry and the chemical industry, and will not be described in detail here.

[0029] Specifically, the present invention does not limit the specific structure of the impregnation mold 5. Preferably, it can be a cable-wrapped impregnation mold, which includes a plurality of central core shafts, and the glass fiber bundle 2 passes along the core shaft like a cable core wire. The polypropylene melt is injected from the annular gap around it or multiple specific inlets to impregnate the glass fiber bundle 2 in a cable-wrapped manner, which will not be repeated here.

[0030] A traction module, comprising a traction mechanism 4 connected to the glass fiber beam splitter 1 for traction of a plurality of glass fiber bundles to the impregnation mold 5, and a dust particle detection unit 6 disposed on the traction mechanism 4 for obtaining dust particle parameters of a spatial region where each glass fiber bundle is located; Specifically, the present invention does not limit the specific structure of the traction mechanism 4. Preferably, it can be a roller-type traction mechanism, which uses the friction between multiple rollers and the glass fiber bundle to achieve traction. It is widely used in electronic manufacturing, glass fiber processing and other fields, and will not be repeated here.

[0031] Specifically, the present invention does not limit the specific structure of the dust particle detection unit 6. Preferably, it can be composed of a laser emitter, a scattered light collector and a photodetector. The laser emitter emits laser, the scattered light collector collects the scattered light and guides it to the photodetector, and the photodetector converts the optical signal into an electrical signal to determine the particle size and number of the dust particles. It will not be repeated here.

[0032] An information aggregation module, which is connected to the traction module and includes a drawing unit and a screening unit, wherein the drawing unit is used to draw a dust particle change curve according to the dust particle parameters and to draw a dust particle change reference curve according to the environmental dust particle parameters; The screening unit is used to screen the electrostatic characteristic glass fiber bundle according to the comparison between the dust particle change curve and the dust particle change reference curve; Specifically, the present invention does not limit the specific method for obtaining environmental dust particle parameters. Preferably, it can set multiple fixed sampling points in the workshop environment of the long glass fiber reinforced polypropylene production device, use a light scattering dust sensor to obtain the average value of the dust particle size value at the sampling point, and determine the average value of the average value of the dust particle size value obtained at multiple fixed sampling points as the environmental dust particle parameter. It will not be repeated here.

[0033] Specifically, the present invention does not limit the specific structure of the drawing unit. Preferably, it can be a microprocessor, which draws a dust particle change curve by obtaining dust particle parameters and draws a dust particle change reference curve by obtaining environmental dust particle parameters, which will not be repeated here.

[0034] Specifically, the present invention does not limit the specific structure of the screening unit. Preferably, it can be a processor used in a computer, and the electrostatic characteristic glass fiber bundles are screened according to the comparison between the dust particle change curve and the dust particle change reference curve, which will not be repeated here.

[0035] A molding control module, which is respectively connected to the information aggregation module, the extrusion molding module and the traction module, is used to determine the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle, and select an adjustment method for polypropylene molding according to the electrostatically affected category, including: adjusting the extrusion temperature of the polypropylene melt in the extruder 3 according to the number of characteristic glass fiber bundle groups composed of adjacent electrostatic characteristic glass fiber bundles; Or, the traction force applied by the traction mechanism 4 to the glass fiber bundle is adjusted according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

[0036] Specifically, the present invention does not limit the specific structure of the molding control module. Preferably, it can be a field programmable logic component. According to the position distribution of each electrostatic characteristic glass fiber bundle, the electrostatic impact category of the polypropylene molding process is determined, and the adjustment method of the polypropylene molding is selected, which will not be repeated here.

[0037] Specifically, the dust particle parameter is an average value of a number of dust particle diameter values ​​in the spatial region where each glass fiber bundle is located within a preset period.

[0038] Specifically, the preset period can be set by technical personnel in this field according to the process accuracy requirements of actual production. The higher the accuracy requirement, the shorter the preset period. Preferably, the preset period can be 10 minutes.

[0039] Specifically, the drawing unit is used to draw a dust particle change curve, wherein: The drawing unit obtains the dust particle parameters within the preset period, and draws a dust particle variation curve showing the dust particle parameters varying with time, wherein the dust particle variation curve takes time as the horizontal axis and the dust particle parameters as the vertical axis.

[0040] Specifically, the present invention uses a drawing unit to obtain dust particle parameters within a cycle in real time at preset periodic intervals, and draws a dust particle change curve of the dust particle parameters changing with time. It can be understood that when the glass fiber bundle carries static electricity, it will produce an electrostatic adsorption effect on the surrounding dust particles, and the dust particles will be subjected to a force directed to the glass fiber bundle in the electrostatic field. Due to the existence of the electrostatic adsorption force, the dust particles will gather around the glass fiber bundle. Small-particle dust has a larger specific surface area and is more easily affected by the electric field force in the electrostatic field. At the same time, according to the particle dynamics theory, the migration speed of small-particle dust in the electric field is relatively large, and it is easier to be adsorbed to the surface of the glass fiber bundle. Obtaining the dust particle parameters within the cycle and drawing the curve can realize dynamic monitoring of the dust particle situation of the glass fiber bundle during the production process. The average value of the dust particle value of each glass fiber bundle at each moment in the cycle is selected as the dust particle parameter, which can characterize the change of the average dust particle size around each glass fiber bundle over time. Furthermore, dynamic monitoring of the dust particle situation of the glass fiber bundle during the production process is realized, and the performance consistency of the product is improved.

[0041] Specifically, the drawing unit is also used to draw a dust particle change reference curve, wherein: The drawing unit obtains the environmental dust particle parameters within the preset period, and draws a dust particle change reference curve showing the environmental dust particle parameters changing with time, wherein the dust particle change reference curve takes time as the horizontal axis and the environmental dust particle parameters as the vertical axis.

[0042] Specifically, the screening unit is used to obtain a comparison between the dust particle change curve and the dust particle change reference curve, wherein: The screening unit obtains the dust particle change curve corresponding to each glass fiber bundle, and determines the difference area between the dust particle change curve and the dust particle change reference curve as the electrostatic difference characterization amount of the glass fiber bundle corresponding to the dust particle change curve.

[0043] Specifically, see Figure 3 As shown, it is a logic flow chart of the screening unit of the embodiment of the present invention for screening the electrostatic characteristic glass fiber bundle, and the screening unit is also used for screening the electrostatic characteristic glass fiber bundle, wherein, If the comparison between the dust particle change curve corresponding to the glass fiber bundle and the dust particle change reference curve does not meet the normal conditions of electrostatic characterization, the screening unit determines the glass fiber bundle as an electrostatic characteristic glass fiber bundle; If the comparison between the dust particle change curve corresponding to the glass fiber bundle and the dust particle change reference curve meets the normal condition of electrostatic characterization, the screening unit does not screen the glass fiber bundle; The normal condition for electrostatic characterization is that the electrostatic difference characterization value corresponding to the glass fiber bundle does not exceed a preset electrostatic difference characterization value reference value.

[0044] Specifically, the preset electrostatic difference characterization reference value can be set by technical personnel in this field according to the requirements for the uniformity of the long glass fiber reinforced polypropylene process. The higher the uniformity requirement, the smaller the electrostatic difference characterization reference value. Preferably, the electrostatic difference characterization reference value can be 3.

[0045] Specifically, the present invention screens the electrostatic characteristic glass fiber bundle according to the difference area between the dust particle change curve and the dust particle change reference curve through a screening unit. It can be understood that the dust particle change curve reflects the change of the average dust particle size around the glass fiber bundle over time, and the dust particle change reference curve represents the change of the average dust particle size in the space environment. When there is no electrostatic phenomenon in the glass fiber bundle, the change trend of the average dust particle size around it should be similar to the change in the environment. The two curves basically overlap, and the difference area approaches zero. When the glass fiber bundle has static electricity, the electrostatic adsorption effect will change the aggregation of dust particles around the glass fiber bundle and change the average dust particle size. This change will cause the dust particle change curve to deviate from the reference curve, and the difference area will increase. The difference area can characterize the electrostatic adsorption strength of the glass fiber bundle. A larger difference area means that the change of the dust particle size around the glass fiber bundle is greatly different from the environmental reference. When the difference area exceeds the reference value, it characterizes that the glass fiber bundle has electrostatic characteristics. The present invention screens the electrostatic characteristic glass fiber bundle by obtaining the difference area, and then quantifies the degree of abnormal electrostatic phenomenon in the glass fiber bundle during the production process, thereby improving the performance consistency of the product.

[0046] Specifically, see Figure 4 As shown, it is a logic flow chart of the molding control module of an embodiment of the present invention for determining the static electricity-affected category of the polypropylene molding process, wherein the molding control module is used to determine the static electricity-affected category of the polypropylene molding process, wherein: The molding control module marks the adjacent electrostatic characteristic glass fiber bundle groups as characteristic glass fiber bundle groups; If the position information of each electrostatic characteristic glass fiber bundle meets the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence concentration category; If the position information of each electrostatic characteristic glass fiber bundle does not meet the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence dispersion category; The electrostatic influence concentration condition is that each electrostatic characteristic glass fiber bundle contains a characteristic glass fiber bundle group.

[0047] Specifically, the present invention determines the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle through the molding control module. It can be understood that when the glass fiber bundle carries static electricity, an electrostatic field will be generated around it. If the electrostatic characteristic glass fiber bundles with electrostatic fields are adjacent, their electrostatic fields will overlap and influence each other. In the polypropylene molding process, the electrostatic field interaction between adjacent electrostatic characteristic glass fiber bundles will lead to the enhancement of the electrostatic effect in the local area. The electrostatic field of the adjacent glass fiber bundles will produce synergistic interference on the flow of the polypropylene melt and the distribution of the glass fiber bundles therein. For non-adjacent electrostatic characteristic glass fiber bundles, they each have a relatively independent impact on the polypropylene molding process. The electrostatic field around each electrostatic characteristic glass fiber bundle mainly affects the area near itself, and the interference with the polypropylene melt is relatively dispersed, and there will be no concentrated and more complex molding defects caused by the superposition of electrostatic fields. The present invention determines the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle, and then realizes the adaptive adjustment of the molding method of long glass fiber reinforced polypropylene according to the difference in the electrostatic influence of the glass fiber bundles, thereby improving the performance consistency of the product.

[0048] Specifically, the molding control module is also used to select an adjustment method for polypropylene molding, wherein: If the static electricity-affected category is a concentrated static electricity-affected category, the molding control module selects the polypropylene molding adjustment method to adjust the extrusion temperature of the polypropylene melt in the extruder 3 according to the number of characteristic glass fiber bundles composed of adjacent electrostatic characteristic glass fiber bundles; If the electrostatically affected category is an electrostatically affected dispersion category, the molding control module selects the polypropylene molding adjustment method to adjust the traction force applied by the traction mechanism 4 to the glass fiber bundle according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

[0049] Specifically, the extrusion temperature is positively correlated with the number of the characteristic glass fiber bundle groups.

[0050] Specifically, under the condition that the electrostatically affected category is the electrostatically affected concentrated category, the present invention selects the adjustment method of polypropylene molding as adjusting the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundles composed of adjacent electrostatic characteristic glass fiber bundles. It can be understood that under the condition of the electrostatically affected concentrated category, an electrostatically affected concentrated area will be formed around the glass fiber bundle. In this area, due to the superposition of the electrostatic field, the flow of the polypropylene melt is disturbed. The electrostatic field will affect the arrangement and movement of the molecular chains in the polypropylene melt, resulting in unevenness of the polypropylene melt when impregnating and coating the glass fiber bundle, affecting the full contact and impregnation effect of the glass fiber bundle and the polypropylene melt. Changing the extrusion temperature can effectively improve the fluidity of the polypropylene melt. As the temperature increases, the polypropylene melt is subjected to the electrostatic field. As the temperature increases, the activity of the polypropylene molecular chain is enhanced and the viscosity of the polypropylene melt is reduced. In the area where the electrostatic influence is concentrated, the improvement in fluidity helps the polypropylene melt to better fill the gaps caused by electrostatic adsorption of dust, so that the polypropylene melt can more evenly coat the glass fiber bundles. The more characteristic glass fiber bundle groups there are, the larger the area where the electrostatic influence is concentrated and the more obvious the effect of the electrostatic field superposition is. It is necessary to improve the fluidity of the polypropylene melt to a greater extent to cope with more complex electrostatic interference. The extrusion temperature needs to be increased accordingly to ensure that the melt can achieve good impregnation and coating effects in a larger electrostatic influence area. Furthermore, the molding method of long glass fiber reinforced polypropylene is adaptively adjusted according to the difference in the electrostatic influence of the glass fiber bundles, thereby improving the performance consistency of the product.

[0051] Specifically, the traction force is positively correlated with the difference between the maximum value and the minimum value of the characteristic slope, and the characteristic slope is the maximum value of the slopes corresponding to the data points on the dust particle variation curve.

[0052] Specifically, under the condition that the electrostatic influence category is the electrostatic influence dispersion category, the present invention selects the adjustment method of polypropylene molding as adjusting the traction force applied by the traction mechanism to the glass fiber bundle according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle. It can be understood that under the condition of the electrostatic influence dispersion category, the electrostatic characteristic glass fiber bundles are not adjacent, and the electrostatic influence on each glass fiber bundle is relatively independent, and there will be no electrostatic field superposition. The main problem affecting the consistency of the polypropylene molding process is the phenomenon of local agglomeration of a single glass fiber. When the glass fiber bundle is affected by different degrees of electrostatic influence, its tension state will also be different. By increasing the traction force, the local agglomeration of the glass fiber caused by the relaxation of the glass fiber bundle is avoided, and the dust particle change curve The slope represents the change in the dust particle adsorption rate. When the slope is larger, the dust adsorption rate of the glass fiber bundle is faster during this time period, that is, the electrostatic adsorption effect is stronger. By obtaining the maximum slope value of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle, the difference between the maximum and minimum values ​​of the slope maximum value corresponding to each electrostatic characteristic glass fiber bundle is used to characterize the difference in electrostatic adsorption strength between different glass fiber bundles. The larger the difference, the more obvious the difference in electrostatic adsorption strength between the glass fiber bundles, and the more a larger traction force is required to improve the local agglomeration of the glass fiber. Furthermore, according to the difference in the electrostatic influence on the glass fiber bundle, the molding method of the long glass fiber reinforced polypropylene is adaptively adjusted, thereby improving the performance consistency of the product.

[0053] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent production device for long glass fiber reinforced polypropylene based on the Internet of Things, characterized in that: include: An extrusion molding module, comprising a glass fiber splitter for providing continuous glass fiber bundles, an extruder for extruding polypropylene melt, and an impregnation die for coating the glass fiber bundles with the polypropylene melt; A traction module, comprising a traction mechanism connected to the glass fiber beam splitter for traction of a plurality of glass fiber bundles to the impregnation mold, and a dust particle detection unit arranged on the traction mechanism for obtaining dust particle parameters of a spatial region where each glass fiber bundle is located; An information aggregation module, which is connected to the traction module and includes a drawing unit and a screening unit, wherein the drawing unit is used to draw a dust particle change curve according to the dust particle parameters and to draw a dust particle change reference curve according to the environmental dust particle parameters; The screening unit is used to screen the electrostatic characteristic glass fiber bundle according to the comparison between the dust particle change curve and the dust particle change reference curve; A molding control module, which is respectively connected to the information aggregation module, the extrusion molding module and the traction module, is used to determine the electrostatically affected category of the polypropylene molding process according to the position distribution of each electrostatic characteristic glass fiber bundle, and select an adjustment method for polypropylene molding according to the electrostatically affected category, including: adjusting the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundle groups composed of adjacent electrostatic characteristic glass fiber bundles; Or, the traction force applied by the traction mechanism to the glass fiber bundle is adjusted according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

2. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 1 is characterized in that: The dust particle parameter is an average value of a number of dust particle diameter values ​​in the spatial region where each glass fiber bundle is located within a preset period.

3. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 2 is characterized in that: The drawing unit is used to draw a dust particle change curve, wherein: The drawing unit obtains the dust particle parameters within the preset period, and draws a dust particle variation curve showing the dust particle parameters varying with time, wherein the dust particle variation curve takes time as the horizontal axis and the dust particle parameters as the vertical axis.

4. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 3 is characterized in that: The drawing unit is also used to draw a dust particle change reference curve, wherein: The drawing unit obtains the environmental dust particle parameters within the preset period, and draws a dust particle change reference curve showing the environmental dust particle parameters changing with time, wherein the dust particle change reference curve takes time as the horizontal axis and the environmental dust particle parameters as the vertical axis.

5. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 4 is characterized in that: The screening unit is used to obtain the comparison between the dust particle change curve and the dust particle change reference curve, wherein: The screening unit obtains the dust particle change curve corresponding to each glass fiber bundle, and determines the difference area between the dust particle change curve and the dust particle change reference curve as the electrostatic difference characterization amount of the glass fiber bundle corresponding to the dust particle change curve.

6. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 5, characterized in that: The screening unit is also used to screen the electrostatic characteristic glass fiber bundles, wherein: If the comparison between the dust particle change curve corresponding to the glass fiber bundle and the dust particle change reference curve does not meet the normal conditions of electrostatic characterization, the screening unit determines the glass fiber bundle as an electrostatic characteristic glass fiber bundle; The normal condition for electrostatic characterization is that the electrostatic difference characterization value corresponding to the glass fiber bundle does not exceed a preset electrostatic difference characterization value reference value.

7. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 6, characterized in that: The molding control module is used to determine the static electricity-affected category of the polypropylene molding process, wherein: The molding control module marks the adjacent electrostatic characteristic glass fiber bundle groups as characteristic glass fiber bundle groups; If the position information of each electrostatic characteristic glass fiber bundle meets the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence concentration category; If the position information of each electrostatic characteristic glass fiber bundle does not meet the electrostatic influence concentration condition, the molding control module determines that the electrostatic influence category of the polypropylene molding process is the electrostatic influence dispersion category; The electrostatic influence concentration condition is that each electrostatic characteristic glass fiber bundle contains a characteristic glass fiber bundle group.

8. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 7, characterized in that: The molding control module is also used to select the adjustment method of polypropylene molding, wherein: If the static electricity-affected category is a concentrated static electricity-affected category, the molding control module selects the polypropylene molding adjustment method to adjust the extrusion temperature of the polypropylene melt in the extruder according to the number of characteristic glass fiber bundles composed of adjacent static electricity characteristic glass fiber bundles; If the electrostatically affected category is an electrostatically affected dispersion category, the molding control module selects an adjustment method for polypropylene molding by adjusting the traction force applied by the traction mechanism to the glass fiber bundle according to the slope of the dust particle change curve corresponding to each electrostatic characteristic glass fiber bundle.

9. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 8, characterized in that: The extrusion temperature is positively correlated with the number of the characteristic glass fiber bundle groups.

10. The intelligent production device of long glass fiber reinforced polypropylene based on the Internet of Things according to claim 8, characterized in that: The traction force is positively correlated with the difference between the maximum value and the minimum value of the characteristic slope, and the characteristic slope is the maximum value of the slopes corresponding to the data points on the dust particle variation curve.

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