Intelligent cutting control system for rubber sealing strip

Abstract

The invention belongs to the technical field of rubber sealing strip cutting, and discloses a rubber sealing strip cutting intelligent control system which comprises a cutting mechanism setting module, a cutting process implementation module, a cutting speed monitoring module, a cutting speed control module, a cutting precision monitoring module and a cutting precision control module. Through the cutting execution control module, a cutting instruction is automatically generated according to parameters of a target product, the extrusion length of a material is monitored in real time in combination with a coding type length sensor, and rapid adaptation of different section sizes is achieved. The material deformation coefficient is analyzed in real time through the cutting dynamic monitoring module, the cutting speed is dynamically adjusted based on a correction formula of the cutting speed control module, and the yield is increased. A target product image is collected through the visual detection unit, the cutting precision of the cutting mechanism in the cutting process is evaluated, the cutting precision control module automatically recognizes and regulates the direction, a'monitoring-evaluation-correction 'closed loop is formed, and the rejection rate is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of rubber sealing strip cutting and relates to an intelligent control system for cutting rubber sealing strips. Background Art

[0002] Rubber sealing strips are made of rubber as the main raw material. They have multiple functions such as sealing, cushioning and shock absorption, sound insulation and noise reduction, heat insulation, and protection. They are widely used in many fields such as automobiles, doors and windows, machinery, and construction. They can effectively improve the performance of equipment and buildings, extend their service life, and enhance the user experience.

[0003] The existing automotive rubber sealing strips are basically produced by rubber extrusion molds, and the end surface projection of the entire product is consistent. However, the same consistent end surface seal cannot achieve a satisfactory sealing effect for different sealing points in various mechanisms. With the continuous improvement of product performance, it is required that the sealing strips have different end surfaces to match the different sealing points due to shape changes to achieve a better sealing effect.

[0004] On the other hand, the existing production process of automotive rubber sealing strips lacks an adaptive correction mechanism for the production parameters of the production process and is unable to adaptively analyze and correct possible cutting parameters, which will reduce the consistency of product production quality, affect production efficiency, and may lead to increased production costs. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, an intelligent control system for cutting rubber sealing strips is now proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A cutting intelligent control system for rubber sealing strips, including: a cutting mechanism setting module, used to set the cutting mechanism, the cutting structure includes a servo motor, a control component and a sliding knife block.

[0007] The cutting process implementation module is used to obtain cutting mechanism control information based on the product parameter information of the target product. The cutting mechanism control information includes the original zero point, the standard length of the product, the feed far point, the feed length point, the retract far point and the retract length point. The cutting process is executed using the cutting structure to obtain several target products.

[0008] The cutting speed monitoring module is used to set up a multimodal sensing module, monitor the cutting process of the cutting mechanism in real time based on the multimodal sensing module, and analyze the material deformation of the cutting process of the cutting mechanism based on a pre-built material deformation and cutting speed relationship model.

[0009] The cutting speed control module is used to perform cutting speed control in real time based on the material deformation during the cutting process of the cutting mechanism.

[0010] The cutting accuracy monitoring module is used to use a high-definition camera to collect images of each target product in real time and evaluate the cutting accuracy corresponding to the cutting process of the cutting mechanism.

[0011] The cutting accuracy control module is used to determine whether it is necessary to control the cutting accuracy of the cutting mechanism corresponding to the cutting process, and if necessary, further identify the specific cutting accuracy control direction, which includes tool feed time control and tool feed depth control.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention automatically generates cutting instructions according to the parameters of the target product (such as standard length, feed end point coordinates, etc.) through a cutting execution control module, and combines a coded length sensor to monitor the material extrusion length in real time to achieve rapid adaptation of different cross-sectional sizes.

[0013] (2) The present invention analyzes the material deformation coefficient in real time through the cutting dynamic monitoring module, and dynamically adjusts the cutting speed based on the correction formula of the cutting speed control module to avoid material tearing or thermal damage and improve the yield.

[0014] (3) The present invention collects the target product image through the visual inspection unit, evaluates the cutting accuracy corresponding to the cutting process of the cutting mechanism, and the cutting accuracy control module automatically identifies the control direction, forming a "monitoring-evaluation-correction" closed loop, which significantly reduces the scrap rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0017] Figure 2 A schematic diagram of the composition structure of a cutting mechanism provided by the present invention.

[0018] Figure 3 A schematic diagram of the operating state of a cutting mechanism provided by the present invention.

[0019] Figure 4 A schematic diagram of an embodiment of target product production control provided by the present invention.

[0020] Figure 5 A schematic diagram of the composition of a multimodal sensing module provided by the present invention.

[0021] Figure symbols: 1 - servo motor, 2 - control component, 3 - sliding knife block, 4 - feeding far point, 5 - retracting far point, 6 - original zero point, L1 - feeding position length, L2 - retracting position length, L3 - product standard length. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides an intelligent control system for cutting a rubber sealing strip, comprising a cutting mechanism setting module, a cutting process implementation module, a cutting speed monitoring module, a cutting speed control module, a cutting accuracy monitoring module and a cutting accuracy control module, wherein the cutting mechanism setting module is connected to the cutting process implementation module, the cutting process implementation module is respectively connected to the cutting speed monitoring module and the cutting accuracy monitoring module, the cutting speed monitoring module is connected to the cutting speed control module, and the cutting accuracy monitoring module is connected to the cutting accuracy control module.

[0024] See also Figure 2 , 3 As shown, the cutting mechanism setting module is used to set the cutting mechanism, and the cutting structure includes a servo motor, a control component and a sliding knife block.

[0025] It should be noted that the specific functions of the various components of the cutting mechanism are as follows: (1) Servo motor: It is the power source of the cutting mechanism and can accurately control the angle, speed and position of rotation. During the rubber sealing strip cutting process, the servo motor provides power support for the movement of the sliding knife block according to the system instructions. Its high-precision control characteristics ensure the accuracy of the cutting action in terms of time and position.

[0026] (2) Control component: It is the key hub connecting the system instructions with the servo motor and the sliding knife block. It receives control signals from other modules of the system, analyzes and processes these signals, and converts them into electrical signals to drive the servo motor. By controlling the operation of the servo motor, the control component indirectly realizes the precise control of the sliding knife block, ensuring that the sliding knife block moves according to the preset path and time.

[0027] (3) Sliding knife block: It is the component that directly performs the cutting task. Under the coordinated action of the servo motor and the control component, the sliding knife block can perform linear reciprocating motion on a specific track. When it is necessary to cut the rubber sealing strip, the sliding knife block quickly moves to the specified position and completes the cutting operation with its sharp edge. The accuracy and stability of its movement directly affect the cutting quality of the rubber sealing strip.

[0028] The cutting process implementation module is used to obtain cutting mechanism control information based on the product parameter information of the target product. The cutting mechanism control information includes the original zero point, product standard length, feed far point, feed length point, retract far point and retract length point. The cutting process is executed using the cutting structure to obtain several target products.

[0029] It is necessary to explain the specific meaning of the cutting mechanism control information: (1) Original zero point: It is the starting reference position of the cutting mechanism. Determining the original zero point can ensure that each cutting operation starts from a fixed reference position, ensuring the consistency and accuracy of the cutting.

[0030] (2) Product standard length: specifies the target length of a single rubber sealing strip after cutting. This is a key indicator to measure whether the cutting is up to standard. The cutting mechanism needs to perform cutting operations according to this length standard.

[0031] (3) Feeding far point: refers to the farthest position that the sliding knife block reaches during the feeding process. The setting of this position is related to the completion position of the cutting action. When the sliding knife block moves to this point, it usually completes a cutting preparation or cutting action on the rubber sealing strip.

[0032] (4) Feed length point: used to control the feeding timing of the cutting mechanism during the material extrusion process. When the material extrusion length reaches the feed length point, the cutting mechanism will start the feeding operation according to the instruction and push the sliding knife block to move.

[0033] (5) Retraction point: It is the farthest position that the sliding knife block can reach after completing cutting or other operations. It corresponds to the feed point, ensuring that the cutting mechanism can return to a certain position after each operation and be ready for the next cutting.

[0034] (6) Retraction length point: It is related to the timing of the retraction action of the cutting mechanism. When the extruded material reaches the retraction length point, the cutting mechanism will control the sliding knife block to start retraction and return to the appropriate position to wait for the next cutting instruction.

[0035] In a preferred embodiment of the present invention, the specific operation of executing the cutting process using the cutting structure is as follows: a coded length sensor is set on the cutting mechanism to monitor the material extrusion length of the target product production process in real time, and the feed position length and retreat position length of the target product are obtained based on the pre-set feed length point and retreat length point.

[0036] It should be supplemented that the feed position length refers to the distance between the target product feed length point and the original zero point, and the retreat position length refers to the distance between the target product retreat length point and the original zero point.

[0037] When the material extrusion length is equal to the length of the feed position, the cutting mechanism sends a feed command to the servo motor, and the servo motor controls the sliding knife block to move to the feed far point through the control component.

[0038] When the material extrusion length is equal to the length of the retreat position, the cutting mechanism sends a retreat command to the servo motor, and the servo motor controls the sliding knife block to move to the far retreat point through the control component.

[0039] When the material extrusion length is equal to the standard length of the product, the servo motor controls the sliding knife block through the control component to perform the cutting operation to obtain the target product, and then controls the sliding knife block to move to the original zero point to continue cutting and producing the target product.

[0040] It should be noted that, in the process of the cutting mechanism performing the cutting operation to obtain the target product, there may be multiple feed operations and retract operations, and each feed operation corresponds to a different feed far point and feed length point, and each retract operation corresponds to a different retract far point and retract length point.

[0041] A preferred embodiment, see Figure 4 As shown, when the material extrusion length is equal to the feed position length L1, the cutting mechanism sends a feed command to the servo motor, and the servo motor controls the sliding knife block to move to the feed far point 4 through the control component; when the material extrusion length is equal to the retreat position length L2, the cutting mechanism sends a retreat command to the servo motor, and the servo motor controls the sliding knife block to move to the retreat far point 5 through the control component; when the material extrusion length is equal to the product standard length L3, the servo motor controls the sliding knife block to perform the cutting operation to obtain the target product through the control component, and then controls the sliding knife block to move to the original zero point 6.

[0042] It should be noted that the present invention automatically generates cutting instructions according to the parameters of the target product (such as standard length, feed end point coordinates, etc.) through the cutting execution control module, and combines the coded length sensor to monitor the material extrusion length in real time to achieve rapid adaptation of different cross-sectional sizes.

[0043] The cutting speed monitoring module is used to set up a multimodal sensing module, monitor the cutting process of the cutting mechanism in real time based on the multimodal sensing module, and analyze the material deformation of the cutting process of the cutting mechanism based on a pre-constructed material deformation and cutting speed relationship model.

[0044] In a preferred embodiment of the present invention, please refer to Figure 5 As shown, the multimodal sensing module is composed of a three-axis pressure sensor group, an infrared thermal imaging sensor and a speed sensor. The three-axis pressure sensor group is used to collect the time-varying stress value of the material, the infrared thermal imaging sensor is used to collect the real-time temperature value, and the speed sensor is used to collect the current cutting speed of the sliding knife block.

[0045] In a preferred embodiment of the present invention, the relationship model between material deformation and cutting speed is as follows: The relationship model between material deformation and cutting speed is specifically: where σ τ represents the time-varying stress of the material, σ0 represents the initial stress reference, T represents the real-time temperature, T0 represents the reference temperature, v c Indicates the current cutting speed, v ref represents the reference speed parameter, and α represents the preset material thermal expansion correction factor.

[0046] It should be noted that the relationship model between material deformation and cutting speed Several key factors that affect material deformation during the cutting process of rubber sealing strips are comprehensively considered, and its construction is reasonable and scientific.

[0047] 1. Stress factor: Partially reflects the influence of stress on material deformation. τ Represents the time-varying stress of the material. During the cutting process, the cutter interacts with the rubber seal strip, and the internal stress of the material changes all the time. This stress change directly affects the deformation of the material. σ0 is used as the initial stress reference, and the time-varying stress is compared with it to measure the multiple of the stress change. If A large value indicates that the stress on the material has changed significantly compared to the initial state, and the material is more likely to deform. For example, when cutting at high speed or when the tool applies a large pressure, σ τ As the pressure increases, the ratio rises and the material deformation intensifies.

[0048] 2. Temperature factors: Used to describe the effect of temperature on material deformation. Rubber is a temperature-sensitive material. T is the real-time temperature and T0 is the reference temperature. It reflects the change ratio of the real-time temperature relative to the reference temperature. α is the material thermal expansion correction factor. Different rubber materials have different thermal expansion characteristics. The larger α is, the greater the impact of temperature change on material deformation. When T>T0, is a positive value, As the temperature rises, the material becomes softer and more susceptible to deformation; on the contrary, when T<T0, It is a negative value. Theoretically, because α is small enough, after α correction The material becomes harder and deformation becomes relatively difficult.

[0049] 3. Cutting speed factor: It reflects the effect of cutting speed on material deformation. c is the current cutting speed, v ref It is the reference speed parameter. The cutting speed directly affects the time and force of the tool on the material. The current cutting speed v c When larger, The ratio is large, which leads to Increase means that the change of cutting speed has a stronger influence on material deformation. When cutting at high speed, the impact force and friction force on the material increase instantly, and the material does not have time to deform evenly, which easily leads to local stress concentration and large deformation.

[0050] It needs further explanation that the logarithmic function is used The reasons for the influence of cutting speed on material deformation are as follows: 1. Nonlinear characteristics of frictional heat generation: During the cutting process, the relationship between frictional heat generation and cutting speed is usually nonlinear. At low speeds, heat accumulation is slow; at high speeds, heat accumulation increases rapidly. The logarithmic function can better describe this nonlinear growth trend.

[0051] 2. Nonlinear response of material deformation: Material deformation is usually sensitive to temperature changes, and the relationship between temperature changes and cutting speed is nonlinear. The logarithmic function can capture this nonlinear response.

[0052] Comprehensive consideration of factors: These three parts are multiplied together to construct the entire model because in the actual cutting process, stress, temperature and cutting speed do not act independently, but influence each other and jointly determine the degree of material deformation. Through this product form, the comprehensive effect of various factors can be comprehensively reflected, providing a quantitative basis for real-time evaluation of material deformation, thereby achieving precise control of parameters such as cutting speed and ensuring cutting quality. It should be noted that the material deformation and cutting speed relationship model is analyzed for the cutting process, and the material time-varying stress σ τ and current cutting speed v c Both are not 0, so the analysis results obtained from the relationship model between material deformation and cutting speed are not 0.

[0053] By collecting multiple sets of data on material time-varying stress values, real-time temperature values, and current cutting speed, multiple sets of data simulation calculations are performed based on the material deformation and cutting speed relationship model. A feasible implementation example assumes that σ0 = 100 MPa, T0 = 300 K, v ref =1m / s, α=0.005. Multiple sets of data simulation results can be obtained, and some of the data simulation results are shown in Table 1.

[0054] Table 1. Simulation results of some data based on the relationship model between material deformation and cutting speed

[0055]

[0056]

[0057] Through the above simulation calculations, further analysis is carried out from the perspectives of material time-varying stress value, real-time temperature value and current cutting speed: (1) From the simulation results, as the material time-varying stress σ τ As the material deformation coefficient η increases, it shows an upward trend. When other conditions remain unchanged, such as from the first group to the third group of data, σ τ The increase from 150MPa to 250MPa causes the deformation coefficient η of the material to increase from 0.608 to 2.293. This shows that the greater the stress on the material, the more obvious the change in its internal structure and the easier it is to deform.

[0058] (2) The increase in real-time temperature T will also increase the material deformation coefficient η. For example, from the first to the third group of data, the real-time temperature increases from 320K to 360K, which increases η. This is because the increase in temperature will soften the rubber material, reduce its ability to resist deformation, and make it more likely to deform during the cutting process.

[0059] (3) Influence of current cutting speed: Current cutting speed v c The acceleration also increases the material deformation coefficient η. In different sets of data, v c The increase from 1.5m / s to 2.5m / s leads to an increase in η. This is because the faster the cutting speed, the faster the impact and friction of the tool on the material change, and the material does not have time to deform evenly, resulting in local stress concentration, making the material deformation more obvious.

[0060] In a preferred embodiment of the present invention, the material deformation during the cutting process of the cutting mechanism is analyzed in the following specific manner: extracting the time-varying stress value of the material collected by the three-axis pressure sensor group, extracting the real-time temperature value collected by the infrared thermal imaging sensor, extracting the current cutting speed of the sliding knife block collected by the speed sensor, and then substituting the material deformation and cutting speed relationship model into the analysis to obtain the actual material deformation coefficient of the current cutting process of the cutting mechanism, which is recorded as ηactual .

[0061] The cutting speed control module is used to perform cutting speed control in real time based on the material deformation during the cutting process of the cutting mechanism.

[0062] In a preferred embodiment of the present invention, the specific process of executing cutting speed control in real time is as follows: extracting the actual material deformation coefficient η of the current cutting mechanism cutting process actual , using the formula v next =v c -γ*(η actual -η0)*v d The corrected cutting speed v is obtained by analysis next , where v d represents a preset reference correction speed, γ represents a preset deformation compensation coefficient, and η0 represents a preset reference material deformation coefficient threshold.

[0063] The corrected cutting speed obtained by analysis is used as the cutting speed of the subsequent cutting mechanism cutting parameters.

[0064] It should be noted that the correction cutting speed corresponding analysis formula is adjusted based on the correlation between material deformation and cutting speed, as follows: 1. Basic speed setting: v c It is the original cutting speed of the cutting mechanism. This is the basic value of the cutting speed and the default speed when the actual deformation of the material is not considered.

[0065] 2. Deformation factor consideration: actual material deformation coefficient η actual Reflects the actual deformation degree of the material during the current cutting process. The reference material deformation threshold η0 is a pre-set standard deformation value, representing the deformation degree of the material under ideal or normal cutting conditions. The difference between the two η actual -η0 reflects the deviation between the actual and ideal state.

[0066] 3. Compensation mechanism construction: The deformation compensation coefficient γ is a coefficient determined based on experience or experiments, which is used to quantify the influence of deformation deviation on cutting speed adjustment. d It is the preset speed adjustment reference. actual -η0)*v d Calculate the amount of adjustment required to the base cutting speed due to material deformation deviation.

[0067] 4. Determine the new speed: Subtract the calculated adjustment amount from the original cutting speed to obtain the corrected cutting speed, which is used as the speed for subsequent cutting, thereby realizing dynamic correction of the cutting speed according to the actual deformation of the material.

[0068] In a feasible embodiment, assuming that γ = 0.5, vc =1m / s,v d =2m / s, η0=0.1, and then multiple sets of data simulation calculations are performed based on the modified cutting speed calculation formula to obtain corresponding simulation calculation results, some of which can be referred to in Table 2.

[0069] Table 2. Simulation results of some data based on the modified cutting speed calculation formula

[0070]

[0071] It needs to be further explained that the above data simulation corresponds to the first set of simulation results, and the actual material deformation coefficient η actual =0.05, which is less than the reference material deformation threshold η0 = 0.1. The corrected cutting speed v is calculated according to the formula next =1.005m / s, which is an increase compared to the reference cutting speed. This shows that when the actual material deformation is smaller than the ideal state, the cutting speed is appropriately increased to improve efficiency while ensuring cutting quality.

[0072] The above simulation results correspond to the second set of simulation results, and the actual material deformation coefficient η actual =0.12, which is greater than the reference material deformation threshold η0 = 0.1, and v next =0.998m / s, which is lower than the reference cutting speed. This is because the actual deformation of the material is too large. In order to better control the cutting process and avoid problems such as cutting deviation caused by large deformation of the material, the cutting speed is appropriately reduced.

[0073] Comparing the above simulation results with the second and third simulation results, due to the difference in actual material deformation coefficients, the corrected cutting speeds corresponding to the two components are also different. The actual material deformation coefficient of the second simulation result is 0.12, and the corrected cutting speed is 0.998m / s; the actual material deformation coefficient of the third simulation result is 0.15, and the corrected cutting speed is 0.995m / s. The actual deformation of the third simulation result is larger, and its corrected cutting speed is lower than that of the second simulation result, which shows that the formula can reasonably adjust the cutting speed according to the material deformation differences caused by different components.

[0074] It should be noted that the present invention analyzes the material deformation coefficient in real time through the cutting dynamic monitoring module, and dynamically adjusts the cutting speed based on the correction formula of the cutting speed control module to avoid material tearing or thermal damage and improve the yield.

[0075] The cutting accuracy monitoring module is used to collect images of each target product in real time using a high-definition camera and evaluate the cutting accuracy corresponding to the cutting process of the cutting mechanism.

[0076] In a preferred embodiment of the present invention, the cutting accuracy corresponding to the cutting process of the cutting mechanism is evaluated by extracting images of each target product collected by a high-definition camera, and then analyzing the tool feed time control evaluation index and tool feed depth control evaluation index of each target product.

[0077] The tool feed time control evaluation index and tool feed depth control evaluation index of each target product are respectively averaged to obtain the tool feed time control evaluation index and tool feed depth control evaluation index of the cutting process of the cutting mechanism, and then the cutting accuracy evaluation index of the cutting process of the cutting mechanism is obtained by summing them up according to the weights.

[0078] It should be noted that the basis for setting the corresponding weights of the tool feed time control evaluation index and the tool feed depth control evaluation index is: the basis for setting the weights of the tool feed time and depth control evaluation index is mainly derived from product quality requirements and production process characteristics. From the perspective of product quality, if the product function is sensitive to the tool feed time, such as affecting the surface texture, the corresponding index weight is high; if the key dimension accuracy is greatly affected by the feed depth, the index weight is high. When the precision standard is strict, the weight of factors that are more sensitive to deviations is also high. From the perspective of production technology, equipment performance determines the achievable control accuracy, and the weight of the control factors corresponding to high-precision equipment can be appropriately reduced; different process links have different dependence on time and depth, and the index weight corresponding to the dominant link is higher. Reasonable setting of weights can more accurately evaluate cutting accuracy. Exemplarily, the corresponding weights of the tool feed time control evaluation index and the tool feed depth control evaluation index are 0.6 and 0.4, respectively.

[0079] In a preferred embodiment of the present invention, the specific analysis method of the tool feed time control evaluation index is as follows: extract each target product image captured by a high-definition camera, locate each tool adjustment position corresponding to each target product image, obtain the monitoring cutting position deviation between the theoretical position and the actual position corresponding to each tool adjustment position, compare the monitoring cutting position deviation corresponding to each tool adjustment position with a pre-set allowable cutting position deviation threshold to obtain the monitoring cutting position deviation degree of each tool adjustment position, and then perform mean calculation to obtain the average monitoring cutting position deviation degree corresponding to each target product image.

[0080] It should be further explained that the analysis method of the monitoring cutting position deviation degree of each tool adjustment position is as follows: the difference between the monitoring cutting position deviation corresponding to each tool adjustment position and the pre-set allowable cutting position deviation threshold is calculated, and then the absolute value is taken, and then the ratio is calculated with the corresponding allowable cutting position deviation threshold to obtain the monitoring cutting position deviation degree of each tool adjustment position.

[0081] It should be noted that the setting basis of the allowable cutting position deviation threshold is: first, product design requirements. Product functions and performance determine the cutting position accuracy standard. For example, precision instrument parts require extremely small deviations, while ordinary parts have relatively loose requirements. Second, the production process level. Advanced equipment and processes can achieve high-precision cutting, and a smaller threshold can be set; conversely, when the equipment accuracy is limited and the process stability is poor, the threshold needs to be appropriately relaxed to ensure production feasibility. Third, cost considerations. Too strict a threshold will increase production difficulty and cost, including costs such as equipment upgrades, production debugging, and scrap rate control. It is necessary to comprehensively weigh quality and cost, and reasonably set the threshold to maximize economic benefits while meeting product quality requirements. Exemplarily, the allowable cutting position deviation threshold is 0.2.

[0082] The tool feed time control evaluation index corresponding to each target product is obtained based on the average monitored cutting position deviation corresponding to each target product image.

[0083] It should be added that the specific method of obtaining the tool feed time control evaluation index corresponding to each target product is as follows: the tool feed time control evaluation index corresponding to each target product image is obtained by taking the inverse of the average monitored cutting position deviation corresponding to each target product image.

[0084] In a preferred embodiment of the present invention, the specific analysis method of the tool feed depth control evaluation index is as follows: extract each target product image captured by a high-definition camera, locate each tool adjustment position corresponding to each target product image, obtain the monitoring feed depth deviation between the theoretical tool feed depth and the actual tool feed depth corresponding to each tool adjustment position, compare the monitoring feed depth deviation corresponding to each tool adjustment position with a pre-set allowable feed depth deviation threshold to obtain the monitoring feed depth deviation degree of each tool adjustment position, and then perform mean calculation to obtain the average monitoring feed depth deviation degree corresponding to each target product image.

[0085] It should be further explained that the analysis method of the monitored feed depth deviation of each tool adjustment position is as follows: the absolute value is taken after the difference between the monitored feed depth deviation corresponding to each tool adjustment position and the pre-set allowable feed depth deviation threshold is calculated, and then the ratio is calculated with the corresponding allowable feed depth deviation threshold to obtain the monitored feed depth deviation of each tool adjustment position.

[0086] It should be noted that the setting basis of the allowable feed depth deviation threshold is: first, product performance and quality standards. Products with high precision requirements, such as aerospace parts, have low tolerance for feed depth deviation and a small threshold; ordinary civilian products have low requirements and the threshold can be large. Second, the characteristics of cutting tools and equipment. If the cutting tools are sophisticated and the equipment is high-precision and stable, the feed depth can be accurately controlled, and a small threshold can be set; conversely, the cutting tools are easy to wear and the equipment is unstable, and a large threshold must be set to ensure production. Third, the balance between production efficiency and cost. Small thresholds are difficult and costly to produce, and require precision equipment, strict processes, etc. Enterprises need to take into account quality, efficiency and cost, and reasonably set the allowable feed depth deviation threshold. Exemplarily, the allowable feed depth deviation threshold is 0.3.

[0087] The tool feed depth control evaluation index corresponding to each target product is obtained based on the average monitored feed depth deviation corresponding to each target product image.

[0088] It should be noted that the analysis method of the tool feed depth control evaluation index corresponding to each target product refers to the specific method of obtaining the tool feed time control evaluation index corresponding to each target product.

[0089] The cutting accuracy control module is used to determine whether it is necessary to control the cutting accuracy of the cutting mechanism corresponding to the cutting process, and if necessary, further identify the specific cutting accuracy control direction, which includes tool feed time control and tool feed depth control.

[0090] It should be added that the specific method of judging whether it is necessary to control the cutting accuracy of the cutting process corresponding to the cutting mechanism is as follows: extract the cutting accuracy evaluation index of the cutting process of the cutting mechanism, and then compare it with the pre-set cutting accuracy evaluation index threshold. If the cutting accuracy evaluation index of the cutting process of the cutting mechanism is less than the cutting accuracy evaluation index threshold, it is judged that control is required, otherwise, it is judged that control is not required.

[0091] Among them, the threshold value of the cutting accuracy evaluation index is set based on the following: product quality requirements are the key. High-precision products such as optical lenses have almost strict requirements on cutting accuracy, and the threshold value needs to be extremely low; ordinary industrial products have low precision requirements, and the threshold value can be higher. The level of production technology is also important. Advanced process equipment has high precision and strong stability, and can achieve extremely small deviations, so the threshold value can be set accurately; traditional process equipment has limited precision, and the threshold value needs to be appropriately relaxed to ensure smooth production. Cost-effectiveness should also not be ignored. Although a too small threshold value can improve cutting accuracy, it will greatly increase costs, such as equipment upgrades and process debugging costs, so it is necessary to weigh quality and cost and reasonably set the threshold value of the cutting accuracy evaluation index. Exemplarily, the threshold value of the cutting accuracy evaluation index is 0.7.

[0092] In a preferred embodiment of the present invention, the specific analysis method directed to the cutting accuracy control is as follows: extract the tool feed time control evaluation index and the tool feed depth control evaluation index of the cutting process of the cutting mechanism, and then compare them with the pre-set reference tool feed time control evaluation index threshold and tool feed depth control evaluation index threshold respectively.

[0093] It should be noted that the reference tool feed time control evaluation index threshold and tool feed depth control evaluation index threshold are set based on the following: 1. Reference tool feed time control evaluation index threshold: In terms of product quality standards, due to different product functions and performances, the requirements for tool feed time accuracy vary. High-precision products correspond to strict thresholds, and vice versa. In terms of production process experience, the analysis and summary of different materials, tools and process combinations in long-term production practice have resulted in a time range for ensuring quality, and its boundary value can be used as a threshold. In terms of equipment performance parameters, advanced equipment has high control accuracy and precise and small thresholds. Old equipment has limited accuracy and requires a larger threshold to ensure production and quality.

[0094] 2. Tool feed depth control evaluation index threshold: In terms of product quality standards, product use and design determine the tool feed depth accuracy requirements. For example, the thresholds for high-precision products such as aerospace are strict, while those for ordinary products are looser. In terms of production process experience, through practice, the tool feed depth range that ensures product quality under different materials and processes is mastered, and its boundary value is the threshold reference. In terms of equipment performance parameters, high-precision equipment can achieve precise depth control with strict thresholds, while low-precision equipment needs to relax the threshold to adapt to its capabilities and ensure production.

[0095] If the tool feed time control evaluation index of the cutting process of the cutting mechanism is less than a preset reference tool feed time control evaluation index threshold, it is identified that the specific cutting accuracy control direction is the tool feed time control.

[0096] If the tool feed depth control evaluation index of the cutting mechanism in the cutting process is less than a preset reference tool feed depth control evaluation index threshold, the specific cutting accuracy control direction is identified as tool feed depth control.

[0097] It should be noted that the present invention collects the target product image through the visual inspection unit, evaluates the cutting accuracy corresponding to the cutting process of the cutting mechanism, and the cutting accuracy control module automatically identifies the adjustment direction to form a "monitoring-evaluation-correction" closed loop, which significantly reduces the scrap rate.

[0098] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent control system for cutting rubber sealing strips, characterized in that: include: A cutting mechanism setting module, used to set a cutting mechanism, wherein the cutting mechanism includes a servo motor, a control component and a sliding knife block; A cutting process implementation module, used to obtain cutting mechanism control information based on product parameter information of target products, wherein the cutting mechanism control information includes an original zero point, a product standard length, a feed far point, a feed length point, a retract far point, and a retract length point, and to execute a cutting process using a cutting mechanism to obtain a number of target products; A cutting speed monitoring module is used to set a multimodal sensing module, monitor the cutting process of the cutting mechanism in real time based on the multimodal sensing module, and analyze the material deformation of the cutting process of the cutting mechanism based on a pre-built material deformation and cutting speed relationship model; A cutting speed control module, used to perform cutting speed control in real time based on the material deformation during the cutting process of the cutting mechanism; The cutting accuracy monitoring module is used to collect images of each target product in real time using a high-definition camera and evaluate the cutting accuracy corresponding to the cutting process of the cutting mechanism; The cutting accuracy control module is used to determine whether it is necessary to control the cutting accuracy of the cutting mechanism corresponding to the cutting process, and if necessary, further identify the specific cutting accuracy control direction, which includes tool feed time control and tool feed depth control.

2. The cutting intelligent control system for a rubber sealing strip according to claim 1, characterized in that: The specific operation of using the cutting structure to perform the cutting process is as follows: A coding length sensor is arranged on the cutting mechanism to monitor the material extrusion length of the target product production process in real time, and the feed position length and the retreat position length of the target product are obtained based on the pre-set feed length point and retreat length point; When the material extrusion length is equal to the length of the feeding position, the cutting mechanism sends a feeding instruction to the servo motor, and the servo motor controls the sliding knife block to move to the feeding far point through the control component; When the material extrusion length is equal to the length of the retreat position, the cutting mechanism sends a retreat command to the servo motor, and the servo motor controls the sliding knife block to move to the retreat far point through the control component; When the material extrusion length is equal to the standard length of the product, the servo motor controls the sliding knife block through the control component to perform the cutting operation to obtain the target product, and then controls the sliding knife block to move to the original zero point to continue cutting and producing the target product.

3. The cutting intelligent control system for a rubber sealing strip according to claim 1, characterized in that: The multimodal sensing module is composed of a three-axis pressure sensor group, an infrared thermal imaging sensor and a speed sensor. The three-axis pressure sensor group is used to collect the time-varying stress value of the material, the infrared thermal imaging sensor is used to collect the real-time temperature value, and the speed sensor is used to collect the current cutting speed of the sliding knife block.

4. The cutting intelligent control system for a rubber sealing strip according to claim 3, characterized in that: The relationship model between material deformation and cutting speed is as follows: The relationship model between material deformation and cutting speed is as follows: where σ τ represents the time-varying stress of the material, σ0 represents the initial stress reference, T represents the real-time temperature, T0 represents the reference temperature, v c Indicates the current cutting speed, v ref represents the reference speed parameter, and α represents the preset material thermal expansion correction factor.

5. The cutting intelligent control system for a rubber sealing strip according to claim 4, characterized in that: The specific method of analyzing the material deformation during the cutting process of the cutting mechanism is as follows: The time-varying stress value of the material collected by the three-axis pressure sensor group is extracted, the real-time temperature value collected by the infrared thermal imaging sensor is extracted, and the current cutting speed of the sliding knife block collected by the speed sensor is extracted. Then, the actual material deformation coefficient of the current cutting process of the cutting mechanism is obtained by substituting the material deformation and cutting speed relationship model into the analysis, which is denoted as η. actual .

6. The cutting intelligent control system for a rubber sealing strip according to claim 5, characterized in that: The specific process of real-time cutting speed control is as follows: Extract the actual material deformation coefficient η of the current cutting mechanism cutting process actual , using the formula v next =v c -γ*(η actual -η0)*v d The corrected cutting speed v is obtained by analysis next , where v d represents a preset reference correction speed, γ represents a preset deformation compensation coefficient, and η0 represents a preset reference material deformation coefficient threshold; The corrected cutting speed obtained by analysis is used as the cutting speed of the subsequent cutting mechanism cutting parameters.

7. The cutting intelligent control system for a rubber sealing strip according to claim 1, characterized in that: The specific method of evaluating the cutting accuracy corresponding to the cutting process of the cutting mechanism is as follows: Extract the images of each target product collected by a high-definition camera, and then analyze the tool feed time control evaluation index and tool feed depth control evaluation index of each target product; The tool feed time control evaluation index and tool feed depth control evaluation index of each target product are respectively averaged to obtain the tool feed time control evaluation index and tool feed depth control evaluation index of the cutting process of the cutting mechanism, and then the cutting accuracy evaluation index of the cutting process of the cutting mechanism is obtained by summing them up according to the weights.

8. The cutting intelligent control system for a rubber sealing strip according to claim 7, characterized in that: The specific analysis method of the tool feed time control evaluation index is as follows: Extract each target product image captured by a high-definition camera, locate each tool adjustment position corresponding to each target product image, obtain the monitoring cutting position deviation between the theoretical position and the actual position corresponding to each tool adjustment position, compare the monitoring cutting position deviation corresponding to each tool adjustment position with the preset allowable cutting position deviation threshold to obtain the monitoring cutting position deviation degree of each tool adjustment position, and then perform mean calculation to obtain the average monitoring cutting position deviation degree corresponding to each target product image; The tool feed time control evaluation index corresponding to each target product is obtained based on the average monitored cutting position deviation corresponding to each target product image.

9. The cutting intelligent control system for a rubber sealing strip according to claim 7, characterized in that: The specific analysis method of the tool feed depth control evaluation index is as follows: Extract each target product image collected by a high-definition camera, locate each tool adjustment position corresponding to each target product image, obtain the monitoring feed depth deviation between the theoretical tool feed depth and the actual tool feed depth corresponding to each tool adjustment position, compare the monitoring feed depth deviation corresponding to each tool adjustment position with the preset allowable feed depth deviation threshold to obtain the monitoring feed depth deviation degree of each tool adjustment position, and then perform mean calculation to obtain the average monitoring feed depth deviation degree corresponding to each target product image; The tool feed depth control evaluation index corresponding to each target product is obtained based on the average monitored feed depth deviation corresponding to each target product image.

10. The cutting intelligent control system for a rubber sealing strip according to claim 7, characterized in that: The specific analysis method of the cutting precision control is as follows: Extracting a tool feed time control evaluation index and a tool feed depth control evaluation index of a cutting process of a cutting mechanism, and then comparing them with a preset reference tool feed time control evaluation index threshold and a tool feed depth control evaluation index threshold, respectively; If the tool feed time control evaluation index of the cutting mechanism in the cutting process is less than a preset reference tool feed time control evaluation index threshold, identifying that the specific cutting accuracy control direction is tool feed time control; If the tool feed depth control evaluation index of the cutting mechanism in the cutting process is less than a preset reference tool feed depth control evaluation index threshold, the specific cutting accuracy control direction is identified as tool feed depth control.

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