Intelligent control method for adhesive tape integrated molding equipment

Abstract

The present invention relates to the field of intelligent production technology, and in particular to an intelligent control method for an integrated adhesive tape molding device, the steps comprising: S00: setting up molding equipment; S10: setting an allowable parameter library; S20: generating multiple control parameter groups, and then calculating the theoretical thickness Dt and theoretical viscosity Pt corresponding to each control parameter group through a theoretical thickness and theoretical viscosity calculation model; S30: calculating the optimization rate Op of each control parameter group, and then screening out the optimal parameter group; S40: producing the adhesive tape according to the optimal parameter group; S50: detecting the actual thickness Dp and actual viscosity Pp of the adhesive tape and comparing them with Dt and Pt at this time; if the difference does not exceed the allowable range, returning to step S40; if the difference exceeds the allowable range, updating the theoretical thickness and theoretical viscosity calculation model, and returning to step S20. The present invention can effectively solve the problems of untimely adjustment of control parameters and poor accuracy during the existing adhesive tape production.

Description

Technical Field

[0001] The present invention relates to the field of intelligent production technology, and in particular to an intelligent control method for adhesive tape integral molding equipment. Background Art

[0002] Functional tapes are tapes with specific uses or characteristics that are used to solve different industrial and daily needs. Compared with traditional tapes, in addition to the basic adhesive function, this type of tape also provides other additional functions due to its specific material or design, such as conductive tape, light-shielding tape, etc.

[0003] When making functional tapes, it is necessary to combine various functional materials to achieve their ultimate function. In the traditional tape production process, each layer of the tape needs to be produced in batches and cannot be completed in one go. At the same time, because the tape needs to work in a special environment, the size and viscosity of the tape need to be more precise. The existing production control parameters usually first detect the condition of the produced tape and then make corresponding adjustments based on the workers' experience. This adjustment not only has poor accuracy, but also has a large lag. Summary of the invention

[0004] The invention provides an intelligent control method for adhesive tape integral molding equipment, which can effectively solve the problems of untimely adjustment of control parameters and poor accuracy during adhesive tape production in the background technology.

[0005] The present invention provides an intelligent control method for an adhesive tape integral molding device, comprising the following steps:

[0006] S00: multiple unwinding components, spraying chambers, combination rollers, heating chambers, glue roller components, cooling rollers, detection components, cutting roller components and winding components are sequentially arranged; after each roll of material is placed on the unwinding component, it passes through the aforementioned components in sequence;

[0007] S10: Setting the allowed parameter library, including the allowed values ​​of the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr;

[0008] S20: generating a plurality of control parameter groups, each control parameter group including a production speed Vb, a gluing temperature Tc and a cooling roller temperature Tr taking a value from an allowable parameter library; then calculating a theoretical thickness Dt and a theoretical viscosity Pt corresponding to each control parameter group by a theoretical thickness calculation model and a theoretical viscosity calculation model;

[0009] S30: Calculate the optimization rate Op of each control parameter group, and record a group of control parameter groups that satisfy Dt and Pt within the set range and have the largest optimization rate Op as the optimal parameter group;

[0010] S40: Control the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr according to the optimal parameter group to produce the tape;

[0011] S50: During the production process of the adhesive tape, the actual thickness Dp and the actual viscosity Pp of the adhesive tape are detected, and compared with the theoretical thickness Dt and the theoretical viscosity Pt corresponding to the optimal parameter group;

[0012] If the difference does not exceed the allowable range, return to step S40;

[0013] If the difference exceeds the allowable range, the theoretical thickness calculation model and the theoretical viscosity calculation model are updated by using Dp and Pp, and after the update is completed, the process returns to step S20.

[0014] Furthermore, in step S30, the specific algorithm of the optimization rate Op is:

[0015] Op=[(Pt-P0) / P0+(Vb-V0) / V0-|Dt-DL| / DL]·100%;

[0016] Among them, P0 is the minimum viscosity of the tape, V0 is the minimum production speed, and DL is the theoretical thickness of the tape.

[0017] Furthermore, in step S20, the theoretical thickness calculation model is specifically:

[0018] Theoretical thickness Dt = DL·a·Vb / Tc;

[0019] Wherein, DL is the theoretical thickness of the tape, and a is the influence coefficient;

[0020] The theoretical viscosity calculation model is as follows:

[0021] Theoretical viscosity Pt = PL·b·(Tc-Tr) 0.5 / Vb;

[0022] Wherein, PL is the theoretical viscosity of the tape and b is the influence coefficient.

[0023] Furthermore, in step S50, the specific steps of updating the theoretical thickness calculation model and the theoretical viscosity calculation model are as follows:

[0024] The production speed Vb, gluing temperature Tc and cooling roller temperature Tr of the optimal parameter group at this time are recorded as Vb1, Tc1 and Tr1 respectively;

[0025] Let Dp = D0·a·Vb1 / Tc1;

[0026] Let Pp = P0·b·(Tc1-Tr1) 0.5 / Vb1;

[0027] Thereby updating the values ​​of a and b.

[0028] Furthermore, in step S50, the actual thickness and actual viscosity are collected multiple times and recorded as Dp1, Dp2...Dpn and Pp1, Pp2...Ppn respectively, Dp is the average value of Dp1, Dp2...Dpn, and Pp is the average value of Pp1, Pp2...Ppn.

[0029] Furthermore, in step S20, in the first cycle, a and b in the theoretical thickness calculation model and the theoretical viscosity calculation model adopt the final values ​​in the previous production.

[0030] Further, in steps S30 to S50, if the parameter library is allowed to change, it is determined whether the values ​​of the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr of the optimal parameter group at this time are within the allowed parameter library;

[0031] If yes, continue with the subsequent steps at this time;

[0032] If not, production is performed first according to the closest values ​​of the production speed Vb, gluing temperature Tc and cooling roller temperature Tr corresponding to the optimal parameter group in the allowable parameter library, and then returns to step S20.

[0033] Furthermore, after the parameter library is allowed to be updated, the reliability of the values ​​in the parameter library is verified, and the data that fails the verification is marked and an alarm is issued.

[0034] Furthermore, in step S00, the height of the cooling roller is higher than the glue roller assembly.

[0035] Furthermore, in step S50, the actual thickness Dp of the tape is detected first, and then the actual viscosity Pp of the tape is detected.

[0036] The technical solution of the present invention can achieve the following technical effects:

[0037] This intelligent control method is based on model optimization and real-time feedback. By comparing the calculation of the theoretical model with the real-time monitoring data, a real-time monitoring and feedback mechanism is realized. The equipment can adjust itself adaptively to ensure that the thickness and viscosity of the produced tape always meet the requirements, ultimately improving production efficiency and product quality. In addition, this control method also reduces dependence on manual intervention, improves the level of automation, and provides a basis for continuous improvement, thereby enhancing overall adaptability and flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a structural schematic diagram of the adhesive tape integrated molding device in the present invention;

[0040] Reference numerals:

[0041] 1. Unwinding assembly; 2. Spraying chamber; 3. Combination roller; 4. Heating chamber; 5. Gluing roller assembly; 6. Cooling roller; 7. Detection assembly; 8. Cutting roller assembly; 9. Rewinding assembly. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] In the description of the present invention, it should be noted that the orientations or positional relationships indicated by “center”, “up”, “down”, “left”, “right”, “vertical”, “horizontal”, “inside” and “outside”, etc., are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0044] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" 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 an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] The present invention relates to an intelligent control method for an adhesive tape integrated molding device. Before producing the adhesive tape, the adhesive tape integrated molding device is first set up (i.e., step S00):

[0046] S00: The one-piece molding equipment includes: a plurality of unwinding components 1 for placing each material roll, a spraying chamber 2 for spraying adhesive onto the material, a combination roller 3 for pressing a plurality of materials together, a heating chamber 4 for heating and curing the combined material, a glue roller assembly 5 for applying glue to the combined material, a cooling roller 6 for cooling the glue, a detection component 7 for detecting the thickness and viscosity of the tape, a cutting roller assembly 8 for cutting the finished tape, and a winding component 9 for making the tape into a roll.

[0047] The specific production principle of the one-piece molding equipment is as follows: after placing each roll of material on the unwinding component 1, it passes through the aforementioned components in turn, specifically: each roll of material will enter the spraying chamber 2 independently, and an independent nozzle will be set in the spraying chamber 2 corresponding to each roll of material to spray adhesive on the material; then all the materials will be gathered at the combination roller 3, and pressed together by the combination roller 3, and the functional layer of the tape will be formed after being pressed together; then the combined materials will enter the heating chamber 4, and according to the characteristics of the adhesive, the heating function of the heating chamber 4 can be turned on when necessary to allow multiple materials to solidify and bond into one; then the glue roller assembly 5 will brush the glue layer on the combined materials to form the adhesive layer of the tape, and combine with the functional layer to form a complete tape; when at the glue roller assembly 5 In order to ensure the fluidity of the glue, it is usually necessary to heat the glue to a certain temperature. After the glue is applied, it is necessary to cool it with a cooling roller 6 to quickly turn the tape product into a final product; the detection component 7 includes a thickness detection component and a viscosity detection component. The thickness detection component uses two rollers to clamp the tape and detect the relative displacement distance of the two rollers to reflect the thickness of the tape. The viscosity detection component reflects the viscosity by poking a probe on the adhesive layer and detecting the force of the adhesive layer driving the probe to move. The specific contents of the above detections are all existing technologies and will not be repeated here; then the finished tape will be sent to the winding component 9 for winding. When the tape roll is wound up, the cutting roller component 8 works to cut the tape, and the staff removes the tape roll and replaces it with a new winding drum to wind up the next tape roll.

[0048] Preferably, an unfolding device can be provided between the unwinding assembly 1 and the spraying chamber 2. The unfolding device is provided with a plurality of unfolding rollers arranged vertically. The material passes through these unfolding rollers in sequence from top to bottom, which can eliminate wrinkles on the material and make it smoother. Its specific structure is prior art and will not be described in detail here.

[0049] It is preferred that the height of the cooling roller 6 is higher than that of the upper glue roller assembly 5. This is because after the upper glue roller assembly 5 is brushed with glue and before passing through the cooling roller 6, the temperature of the glue is relatively high and its fluidity is better. Therefore, in order to prevent the glue from flowing and accumulating in the direction of the cooling roller 6, the cooling roller 6 is raised so that the tendency of the glue to flow downward and the inertia generated by the glue driven by the forward movement of the material offset each other, thereby avoiding the aforementioned accumulation problem as much as possible.

[0050] After the one-piece molding equipment is set up and the materials are installed, you can prepare to start the production. The specific steps of production are:

[0051] S10: Since the products or environmental conditions are different each time they are produced, the values ​​of the production control parameters that can be used will be different. Therefore, the achievable ranges of the production speed Vb (i.e., the material conveying speed between the gluing roller assembly 5 and the winding assembly 9, in m / s), the gluing temperature Tc (specifically, the temperature of the glue in the gluing roller assembly 5, in °C) and the cooling roller 6 temperature Tr (specifically, the temperature of the cold water input into the cooling roller 6, in °C) will be different. It is necessary to manually set the allowable parameter library first. The allowable parameter library includes the allowable values ​​of the production speed Vb, the gluing temperature Tc and the cooling roller 6 temperature Tr. These allowable values ​​are all specific values, not a value range.

[0052] S20: Generate multiple control parameter groups, each control parameter group includes a production speed Vb, a gluing temperature Tc and a cooling roller 6 temperature Tr, each of which takes a value from the allowed parameter library; then calculate the theoretical thickness Dt and theoretical viscosity Pt corresponding to each control parameter group through a theoretical thickness calculation model and a theoretical viscosity calculation model, so as to perform a preliminary simulation of the quality of tape production using each control parameter group.

[0053] S30: After simulating the tape condition in the above steps, the optimization rate Op of each control parameter group can be calculated. The optimization rate Op mainly reflects how much the simulated tape quality is optimized relative to the minimum standard tape quality. The larger the value of the optimization rate Op, the better the quality of the tape. Of course, it is also necessary to ensure that the simulated tape thickness and viscosity are within the required range, so it is also necessary to set the interval (Dmin, Dmax) and (Pmin, Pmax) to further supplement the screening conditions. After that, a group of control parameter groups whose theoretical thickness Dt and theoretical viscosity Pt meet the set intervals (Dmin, Dmax) and (Pmin, Pmax) and whose optimization rate Op value is the largest can be screened out and recorded as the optimal parameter group.

[0054] S40: Control the production speed Vb, the gluing temperature Tc and the temperature Tr of the cooling roller 6 according to the optimal parameter group to produce the adhesive tape.

[0055] S50: Due to changes in the production environment, the calculation results of the theoretical thickness and theoretical viscosity models may be quite different from the actual situation, so they need to be updated in a timely manner. This method uses the following update method:

[0056] During the tape production process, the actual thickness Dp and actual viscosity Pp of the tape are detected and compared with the theoretical thickness Dt and theoretical viscosity Pt corresponding to the optimal parameter group;

[0057] If the difference between the actual thickness Dp and the theoretical thickness Dt, and the actual viscosity Pp and the theoretical viscosity Pt do not exceed the set allowable range, it means that the calculation results of the theoretical thickness calculation model and the theoretical viscosity calculation model are relatively accurate, and then the process returns to step S40 to continue production according to the optimal parameter group selected previously.

[0058] If one or more differences are beyond the allowable range, it means that the calculation results of the theoretical thickness calculation model and the theoretical viscosity calculation model are significantly different from the actual results. In this case, the theoretical thickness calculation model and the theoretical viscosity calculation model need to be updated through Dp and Pp. After the update is completed, return to step S20 to recalculate the optimal parameter group for production.

[0059] Preferably, in step S30, the specific algorithm of the optimization rate Op is:

[0060] Op=[(Pt-P0) / P0+(Vb-V0) / V0-|Dt-DL| / DL]·100%;

[0061] Among them, P0 is the minimum viscosity of the tape, V0 is the minimum production speed, DL is the theoretical thickness of the tape (that is, the optimal thickness value that the tape should reach when designed), and P0, V0 and D0 are the values ​​when the tape quality is at the lowest standard.

[0062] The principle of the optimization rate Op algorithm is as follows: (Pt-P0) / P0 means that the higher the viscosity, the better the quality of the tape will be, which can increase the optimization rate Op value; (Vb-V0) / V0 means that the faster the production speed, the higher the efficiency of tape production, which can increase the optimization rate Op value; -|Dt-DL| / DL means that as long as the thickness of the tape differs from the theoretical thickness, it will cause the tape to fail to meet the best use effect, so it is necessary to ensure that as long as there is a difference, the optimization rate Op value will be reduced.

[0063] In the case where the tape thickness is required to be higher, the specific algorithm of the optimization rate Op can also be optimized as follows:

[0064] Op=[(Pt-P0) / P0+(Vb-V0) / V0-|Dt-DL| / DL]·100%·(Pt·DL) / (PL·Dt);

[0065] PL is the theoretical viscosity of the tape (i.e., the optimal viscosity value that the tape should reach when it is designed), and (Pt·DL) / (PL·Dt) is the ratio of the calculated simulated viscosity ratio (Pt / Dt) to the theoretical viscosity ratio (PL / DL). If this value is too small, it means that the viscosity is relatively insufficient or the thickness is relatively too high, which will affect the overall use of the tape. Therefore, the product method is used to control the value of Op as a whole.

[0066] Preferably, in step S20, the theoretical thickness calculation model is specifically:

[0067] Theoretical thickness Dt = DL·a·Vb / Tc;

[0068] Wherein, DL is the theoretical thickness of the tape; a is the influence coefficient. During the entire production process, a is a variable, and its value will change with the update of the theoretical thickness calculation model. The construction principle of the theoretical thickness calculation model is as follows: as the production speed Vb increases, the roller group in the glue roller assembly 5 will rotate faster, so that more glue will be stored on the roller, thereby increasing the amount of glue on the tape and making the tape thicker; as the glue temperature Tc increases, the fluidity of the glue will be better, so that the amount of glue on the roller will decrease, thereby reducing the amount of glue on the tape and making the tape thinner.

[0069] The theoretical viscosity calculation model is as follows:

[0070] Theoretical viscosity Pt = PL·b·(Tc-Tr) 0.5 / Vb;

[0071] Among them, PL is the theoretical viscosity of the tape; b is the influence coefficient. During the entire production process, b is a variable, and its value will change with the update of the theoretical viscosity calculation model. The construction principle of the theoretical viscosity calculation model is: Tc-Tr is the temperature difference when cooling the glue. The faster the glue cools, the better its viscosity can be; as the production speed Vb increases, the time the glue stays on the cooling roller 6 will decrease, so that the glue is not cooled sufficiently, resulting in a decrease in the viscosity of the tape.

[0072] In the preferred step S50, the specific steps of updating the theoretical thickness calculation model and the theoretical viscosity calculation model are:

[0073] The production speed Vb, glue application temperature Tc and cooling roller 6 temperature Tr values ​​of the optimal parameter group at this time are recorded as Vb1, Tc1 and Tr1 respectively;

[0074] Let Dp = D0·a·Vb1 / Tc1;

[0075] Let Pp = P0·b·(Tc1-Tr1) 0.5 / Vb1;

[0076] In the above formula, only a and b are used as variables, and the formula can be transformed to obtain a=Dp·Tc1 / (D0·Vb1), b=Pp·Vb1 / (P0·(Tc1-Tr1) 0.5 ), thereby updating the values ​​of a and b. After obtaining the new values ​​of a and b, the theoretical thickness calculation model and the theoretical viscosity calculation model are also updated.

[0077] In order to avoid the error of a single detection, it is preferred that in step S50, the actual thickness and actual viscosity are collected multiple times and recorded as Dp1, Dp2...Dpn and Pp1, Pp2...Ppn, respectively, where Dp is the average value of Dp1, Dp2...Dpn, and Pp is the average value of Pp1, Pp2...Ppn. When collecting the data of Dp1, Dp2...Dpn and Pp1, Pp2...Ppn, it is necessary to avoid continuous value acquisition in a short period of time as much as possible. The value can be acquired once each time a tape roll is wound up, so that the data can reflect the state of the production line under long-term operation and avoid the influence of special data.

[0078] In step S20, during the initial cycle, since a and b cannot be obtained through calculation of the system, it is preferred that during the initial cycle, a and b in the theoretical thickness calculation model and the theoretical viscosity calculation model use artificially set values, or in order to ensure that the production line can be started as quickly as possible, the final value in the previous production can be used.

[0079] Due to various factors, the allowed parameter library may change during production. For example, if the cooling system that supplies cold water to the cooling roller 6 is overheated and needs to be cooled, the low value of the temperature Tr of the cooling roller 6 cannot be achieved, and it is necessary to delete it from the allowed parameter library. In response to this change in the allowed parameter library, preferably in steps S30 to S50, if the allowed parameter library changes, it is determined whether the production speed Vb, glue application temperature Tc and cooling roller 6 temperature Tr values ​​of the optimal parameter group at this time are within the allowed parameter library;

[0080] If yes, the system does not perform any additional actions and continues with the subsequent steps at this point;

[0081] If not, production is first performed according to the production speed Vb, gluing temperature Tc and cooling roller 6 temperature Tr corresponding to the optimal parameter group, which are the closest values ​​in the allowable parameter library, to ensure the basic operation of the production line, and then return to step S20 to re-screen the optimal parameter group.

[0082] Preferably, after the parameter library is allowed to be updated, the values ​​in the parameter library are verified for reliability, such as confirming whether the values ​​of each parameter are reasonable, marking the data that fail the verification and issuing an alarm.

[0083] Preferably, in step S50, since the actual viscosity Pp is detected by a probe, the probe can easily scratch the glue-coated side of the tape unevenly when used. Therefore, it is preferred to first detect the actual thickness Dp of the tape and then detect the actual viscosity Pp of the tape to avoid the probe affecting the accuracy of the tape thickness detection.

[0084] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent control method for an adhesive tape integrated molding device, characterized in that the steps include: S00: multiple unwinding components, spraying chambers, combination rollers, heating chambers, glue roller components, cooling rollers, detection components, cutting roller components and winding components are sequentially arranged; after each roll of material is placed on the unwinding component, it passes through the aforementioned components in sequence; S10: Setting the allowed parameter library, including the allowed values ​​of the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr; S20: generating a plurality of control parameter groups, each of which includes a production speed Vb, a gluing temperature Tc and a cooling roller temperature Tr, each of which takes a value from an allowable parameter library; and then calculating a theoretical thickness Dt and a theoretical viscosity Pt corresponding to each control parameter group by a theoretical thickness calculation model and a theoretical viscosity calculation model; S30: Calculate the optimization rate Op of each control parameter group, and record a group of control parameter groups that satisfy Dt and Pt within the set range and have the largest optimization rate Op as the optimal parameter group; The specific algorithm of the optimization rate Op is: Op=[(Pt-P0) / P0+(Vb-V0) / V0-|Dt-DL| / DL]·100%; Among them, P0 is the minimum viscosity of the tape, V0 is the minimum production speed, and DL is the theoretical thickness of the tape; S40: Control the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr according to the optimal parameter group to produce the tape; S50: During the production process of the adhesive tape, the actual thickness Dp and the actual viscosity Pp of the adhesive tape are detected, and compared with the theoretical thickness Dt and the theoretical viscosity Pt corresponding to the optimal parameter group; If the difference does not exceed the allowable range, return to step S40; If the difference exceeds the allowable range, the theoretical thickness calculation model and the theoretical viscosity calculation model are updated by using Dp and Pp, and after the update is completed, the process returns to step S20.

2. The intelligent control method of the tape integrated molding equipment according to claim 1, characterized in that: In step S20, the theoretical thickness calculation model is specifically: Theoretical thickness Dt = DL·a·Vb / Tc; Wherein, DL is the theoretical thickness of the tape, and a is the influence coefficient; The theoretical viscosity calculation model is as follows: Theoretical viscosity Pt = PL·b·(Tc-Tr) 0.5 / Vb; Wherein, PL is the theoretical viscosity of the tape and b is the influence coefficient.

3. The intelligent control method of the tape integrated molding equipment according to claim 2 is characterized in that: In step S50, the specific steps of updating the theoretical thickness calculation model and the theoretical viscosity calculation model are: The production speed Vb, gluing temperature Tc and cooling roller temperature Tr of the optimal parameter group at this time are recorded as Vb1, Tc1 and Tr1 respectively; Let Dp = D0·a·Vb1 / Tc1; Let Pp = P0·b·(Tc1-Tr1) 0.5 / Vb1; Where D0 is the thickness when the tape quality is at the lowest standard, and P0 is the minimum viscosity of the tape; Thereby updating the values ​​of a and b.

4. The intelligent control method of the tape integrated molding equipment according to claim 3 is characterized in that: In step S50, the actual thickness and actual viscosity are collected multiple times and recorded as Dp1, Dp2...Dpn and Pp1, Pp2...Ppn respectively, Dp is the average value of Dp1, Dp2...Dpn, and Pp is the average value of Pp1, Pp2...Ppn.

5. The intelligent control method of the tape integrated molding equipment according to claim 2, characterized in that: In step S20, in the first cycle, a and b in the theoretical thickness calculation model and the theoretical viscosity calculation model adopt the final values ​​in the previous production.

6. The intelligent control method of the adhesive tape integrated molding equipment according to claim 1, characterized in that: In steps S30 to S50, if the parameter library is allowed to change, it is determined whether the values ​​of the production speed Vb, the gluing temperature Tc and the cooling roller temperature Tr of the optimal parameter group at this time are within the allowed parameter library; If yes, continue with the subsequent steps at this time; If not, production is performed first according to the closest values ​​of the production speed Vb, gluing temperature Tc and cooling roller temperature Tr corresponding to the optimal parameter group in the allowable parameter library, and then returns to step S20.

7. The intelligent control method of the adhesive tape integrated molding equipment according to claim 6, characterized in that: After the parameter library is allowed to be updated, the reliability of the values ​​in the parameter library is verified, and the data that fails the verification is marked and an alarm is issued.

8. The intelligent control method of the tape integrated molding equipment according to claim 1, characterized in that: In step S00, the height of the cooling roller is higher than the glue roller assembly.

9. The intelligent control method of the adhesive tape integrated molding equipment according to claim 1, characterized in that: In step S50, the actual thickness Dp of the tape is first detected, and then the actual viscosity Pp of the tape is detected.

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