Tire dynamic balance uniformity automatic optimization method based on logistics system

Abstract

The invention provides a tire dynamic balance uniformity automatic optimization method based on a logistics system, and belongs to the technical field of tire manufacturing, and the tire dynamic balance uniformity automatic optimization method based on an automatic logistics system comprises the steps: S1, integrating automatic detection equipment at a key node of a tire production line, the monitoring module is used for monitoring tire dynamic balance uniformity related parameters in real time; s2, data collected by the automatic detection equipment is uploaded to a central control system in real time, and the central control system is responsible for data processing, analysis and storage and provides real-time data support for a subsequent dynamic optimization algorithm; through deep fusion of an automatic logistics system and an intelligent control algorithm, automatic management and optimization of the dynamic balance uniformity of the tire are realized, the quality and efficiency of tire production are remarkably improved, the dependence on artificial experience is reduced, and the market competitiveness of tire products is enhanced.

Description

Technical Field

[0001] The invention belongs to the technical field of tire manufacturing, and in particular relates to an automatic optimization method for tire dynamic balance uniformity based on a logistics system. Background Art

[0002] The automated logistics system in tire manufacturing plays a key role in improving production efficiency. Among them, tire dynamic balance detection is an indispensable part. Tire dynamic balance refers to the uniform distribution of mass in each part of the tire during rotation, ensuring smooth driving of the vehicle and reducing vibration; tire dynamic balance detection in the automated logistics system is mainly achieved through the following steps: First, the tire is grabbed by a robot and placed on the dynamic balance detection equipment. The equipment automatically rotates the tire and collects data during tire rotation through sensors. Secondly, the system analyzes the data to determine whether the tire has a dynamic balance problem. If there is a problem, the system will automatically mark the unbalanced point; after the dynamic balance test is completed, the automated logistics system will classify according to the test results. Tires with qualified balance enter the next process, and unqualified tires are sent to the repair link. In this way, tire manufacturing companies have realized the automation and informatization of the production process, greatly improved product quality and production efficiency, and reduced labor costs. The dynamic balance uniformity of tires in the automated logistics system is directly related to the driving safety and driving comfort of the car.

[0003] In the prior art, the improvement of dynamic balancing uniformity often depends on the experience and skills of the operator. This dependence leads to low production efficiency and difficulty in ensuring the consistency of product quality. Summary of the invention

[0004] The purpose of the present invention is to provide a method for automatically optimizing tire dynamic balance uniformity based on a logistics system, aiming to solve the problem in the prior art that the improvement of dynamic balance uniformity often depends on the experience and skills of the operator, and this dependence leads to low production efficiency and difficulty in ensuring the consistency of product quality.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for automatically optimizing tire dynamic balance uniformity based on a logistics system comprises the following steps:

[0007] S1. Integrate automated testing equipment at key points of tire production lines to monitor tire dynamic balance uniformity related parameters in real time;

[0008] S2, upload the data collected by the automated testing equipment to the central control system in real time, which is responsible for data processing, analysis and storage, and provides real-time data support for subsequent dynamic optimization algorithms;

[0009] S3. When the advanced dynamic optimization algorithm of the central control system detects that the dynamic balance uniformity of a certain specification of tire is abnormal, the optimization program of the tire blank entering the mold is automatically triggered;

[0010] S4, the optimization program firstly conducts mold entry angle tests at four different angles, tests at least four tires at each angle, and determines the best mold entry angle by comparing the dynamic balance uniformity of each group of tires using a statistical method;

[0011] S5. Based on the optimal mold entry angle obtained by the dynamic optimization algorithm, the tire blank rotating device in the automated logistics system will automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle;

[0012] S6. The adjusted tire blank is efficiently transported by the material execution system trolley to the waiting station in front of the vulcanizer for vulcanization treatment.

[0013] As a preferred solution of the present invention, the automated testing equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution, which are installed at key positions of the tire blank molding outlet, pre-vulcanization testing station and post-vulcanization testing station.

[0014] As a preferred solution of the present invention, the dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis, processes a large amount of complex data, quickly makes optimization decisions on the tire blank entry angle, and transmits the optimized data to the automated logistics system to accurately control the tire blank entry angle.

[0015] As a preferred solution of the present invention, it also includes automatically adjusting the position of the tire blank based on the optimal mold entry angle obtained by the optimization algorithm, using the tire blank rotation device in the automated logistics system to ensure that the tire blank enters the vulcanization mold at the optimal angle; using the material execution system trolley to efficiently transport the adjusted tire blank to the waiting station in front of the vulcanizer for vulcanization treatment, thereby ensuring the continuity and efficiency of the production process.

[0016] A tire dynamic balance uniformity automatic optimization system based on an automated logistics system includes an automated detection device, which is used to monitor parameters related to tire dynamic balance uniformity in real time and upload the data to a central control system; a central control system, which is equipped with a dynamic optimization algorithm, and is used to automatically trigger an optimization program for the tire blank entry angle when an abnormal tire dynamic balance uniformity is detected; and a tire blank rotating device, which is used to adjust the position of the tire blank according to the instructions of the central control system to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0017] As a preferred solution of the present invention, the automated detection equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution. These devices are installed at key nodes of the tire production line such as the tire blank molding outlet, pre-vulcanization detection station and post-vulcanization detection station.

[0018] As a preferred solution of the present invention, the dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis, can process a large amount of complex data, quickly make optimization decisions on the tire blank entry angle, and transmit the optimized data to the automated logistics system to achieve precise control of the tire blank entry angle.

[0019] As a preferred solution of the present invention, it also includes a material execution system trolley, which is used to efficiently transport the adjusted tire blank to the waiting position in front of the vulcanizer for vulcanization treatment.

[0020] As a preferred solution of the present invention, the tire blank rotating device has high-precision positioning capability, and accurately adjusts the position of the tire blank according to the optimal mold entry angle provided by the dynamic optimization algorithm to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0021] As a preferred solution of the present invention, it also includes a continuous monitoring module, which is used to continuously optimize the tire embryo mold entry angle by collecting and analyzing data on tire dynamic balance uniformity in real time, forming a self-learning and improved closed-loop control system, and improving the consistency and optimal state of tire dynamic balance uniformity.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. In the present invention, through the deep integration of the automated logistics system and the intelligent control algorithm, the automated management and optimization of the uniformity of tire dynamic balance are realized, which significantly improves the quality and efficiency of tire production, reduces the dependence on manual experience, and enhances the market competitiveness of tire products.

[0024] 2. In the present invention, this solution not only reduces production costs, but also improves production flexibility and response speed, meeting the market's growing demand for high-quality tires. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0026] Figure 1 It is a flowchart of the method for automatically optimizing the uniformity of tire dynamic balance in the present invention. DETAILED DESCRIPTION

[0027] 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.

[0028] Example 1

[0029] See also Figure 1 , the present invention provides the following technical solutions:

[0030] A method for automatically optimizing tire dynamic balance uniformity based on a logistics system comprises the following steps:

[0031] S1. Integrate automated testing equipment at key points of tire production lines to monitor tire dynamic balance uniformity related parameters in real time;

[0032] S2, upload the data collected by the automated testing equipment to the central control system in real time, which is responsible for data processing, analysis and storage, and provides real-time data support for subsequent dynamic optimization algorithms;

[0033] S3. When the advanced dynamic optimization algorithm of the central control system detects that the dynamic balance uniformity of a certain specification of tire is abnormal, the optimization program of the tire blank entering the mold is automatically triggered;

[0034] S4, the optimization program firstly conducts mold entry angle tests at four different angles, tests at least four tires at each angle, and determines the best mold entry angle by comparing the dynamic balance uniformity of each group of tires using a statistical method;

[0035] S5. Based on the optimal mold entry angle obtained by the dynamic optimization algorithm, the tire blank rotating device in the automated logistics system will automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle;

[0036] S6. The adjusted tire blank is efficiently transported by the material execution system trolley to the waiting station in front of the vulcanizer for vulcanization treatment.

[0037] In a specific embodiment of the present invention, an automated detection device is integrated into key nodes of a tire production line, such as a tire blank molding outlet, a pre-vulcanization detection station, a post-vulcanization detection station, etc., to monitor parameters related to tire dynamic balance uniformity in real time, including but not limited to radial runout, axial offset, weight distribution, etc. of the tire; the data collected by the automated detection device is uploaded to a central control system in real time, and the system is responsible for data processing, analysis and storage, and provides real-time data support for subsequent dynamic optimization algorithms; when the advanced dynamic optimization algorithm carried by the central control system detects that the dynamic balance uniformity of a tire of a certain specification is abnormal, the tire blank is automatically triggered to enter the mold. Angle optimization program; the optimization program first conducts mold entry angle tests at four different angles (i.e., 12 o'clock, 3 o'clock, 6 o'clock, and 9 o'clock), and tests at least 4 tires at each angle. By comparing the dynamic balance uniformity of each group of tires, a statistical method is used to determine the optimal mold entry angle; based on the optimal mold entry angle obtained by the dynamic optimization algorithm, the tire blank rotation device in the automated logistics system will automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle; the adjusted tire blank is efficiently transported by the material execution system (MES) trolley to the waiting station in front of the vulcanizer for vulcanization treatment to ensure the continuity and efficiency of the production process.

[0038] Deployment of automated testing equipment:

[0039] High-precision automated testing equipment is installed at key points of the tire production line, such as the tire blank molding exit, pre-vulcanization testing station, post-vulcanization testing station, etc., to ensure the accuracy and real-time nature of data collection.

[0040] Algorithm Development and Integration:

[0041] Develop dynamic optimization algorithms specifically for tire dynamic balance uniformity and integrate them into the central control system to automate data processing, analysis and decision making.

[0042] Dynamic optimization algorithms should have functions such as data cleaning, pattern recognition, and predictive analysis, and be able to process large amounts of complex data and make optimization decisions quickly.

[0043] Design and implementation of tire blank rotation device:

[0044] Design a set of precise tire blank rotating device to ensure that the tire blank can enter the vulcanization mold at a precise angle to improve the uniformity of dynamic balance.

[0045] The tire blank rotating device should have high-precision positioning capability and be able to accurately adjust the position of the tire blank according to the optimal mold entry angle provided by the dynamic optimization algorithm.

[0046] Application of MES trolley:

[0047] The MES trolley is used to achieve efficient transportation of embryos, ensuring a smooth production process and reducing production downtime and errors caused by manual handling.

[0048] The MES cart should be equipped with advanced navigation and positioning systems, which can independently plan the optimal route and realize the fast and accurate transportation of embryos.

[0049] System maintenance and upgrade:

[0050] Establish a regular maintenance plan to inspect and upgrade the automated logistics system and dynamic optimization algorithms to ensure the stable operation and continuous optimization capabilities of the system.

[0051] The maintenance plan should include hardware inspection, software update, troubleshooting, etc. to ensure the efficient operation of the automated logistics system and central control system.

[0052] Suppose that in a tire production line, the automated detection equipment detects that the dynamic balance uniformity parameters of a batch of tires are abnormal. After receiving these data, the central control system immediately starts the dynamic optimization algorithm and automatically triggers the optimization program for the tire blank entry angle. The algorithm tests the entry angle at four different angles (12 o'clock, 3 o'clock, 6 o'clock, and 9 o'clock), tests at least 4 tires at each angle, collects relevant data and analyzes them, and finally determines that the best entry angle is the 6 o'clock direction. The tire blank rotation device in the automated logistics system then adjusts the tire blank position to ensure that all tire blanks enter the vulcanization mold at the 6 o'clock direction. After a period of production, the central control system found through continuous monitoring that the dynamic balance uniformity of the tires has been significantly improved, proving the effectiveness of the method of the present invention.

[0053] For details, please refer to Figure 1 The automated testing equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution. These devices are installed at key locations at the tire blank molding exit, pre-vulcanization testing station and post-vulcanization testing station.

[0054] In this embodiment: the automated detection equipment includes but is not limited to high-precision sensors for measuring tire radial runout, axial offset and weight distribution, and these devices are installed at key locations of the tire production line such as the tire blank molding outlet, pre-vulcanization detection station and post-vulcanization detection station to ensure the accuracy and real-time nature of data collection.

[0055] For details, please refer to Figure 1 The dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis. It can process a large amount of complex data, quickly make optimization decisions on the angle of the tire blank entering the mold, and transmit the optimized data to the automated logistics system to accurately control the angle of the tire blank entering the mold.

[0056] In this embodiment: the dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis, can process a large amount of complex data, quickly make optimization decisions on the tire blank entry angle, and transmit the optimized data to the automated logistics system to achieve precise control of the tire blank entry angle.

[0057] For details, please refer to Figure 1 It also includes the best mold entry angle obtained based on the optimization algorithm, using the tire rotation device in the automated logistics system to automatically adjust the position of the tire, ensuring that the tire enters the vulcanization mold at the optimal angle; using the material execution system trolley to efficiently transport the adjusted tire to the waiting station in front of the vulcanizer for vulcanization treatment, ensuring the continuity and efficiency of the production process.

[0058] In this embodiment: based on the optimal mold entry angle obtained by the optimization algorithm, the tire blank rotation device in the automated logistics system is used to automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle; the material execution system (MES) trolley is used to efficiently transport the adjusted tire blank to the waiting station in front of the vulcanizer for vulcanization treatment, thereby ensuring the continuity and efficiency of the production process.

[0059] For details, please refer to Figure 1 , an automatic optimization system for tire dynamic balance uniformity based on an automated logistics system, including automated detection equipment, which is used to monitor tire dynamic balance uniformity-related parameters in real time and upload the data to a central control system; a central control system, which is equipped with a dynamic optimization algorithm, which is used to automatically trigger an optimization program for the tire blank entry angle when abnormal tire dynamic balance uniformity is detected; and a tire blank rotating device, which is used to adjust the position of the tire blank according to the instructions of the central control system to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0060] In this embodiment: an automated detection device is used to monitor parameters related to tire dynamic balance uniformity in real time and upload the data to a central control system; a central control system is equipped with a dynamic optimization algorithm, which is used to automatically trigger an optimization program for the tire blank entry angle when an abnormal tire dynamic balance uniformity is detected; and a tire blank rotation device is used to adjust the position of the tire blank according to the instructions of the central control system to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0061] For details, please refer to Figure 1 The automated testing equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution. These devices are installed at key nodes of the tire production line such as the tire blank molding outlet, pre-vulcanization testing station and post-vulcanization testing station.

[0062] In this embodiment: the automated detection equipment includes but is not limited to high-precision sensors for measuring tire radial runout, axial offset and weight distribution, and these devices are installed at key locations of the tire production line such as the tire blank molding outlet, pre-vulcanization detection station and post-vulcanization detection station to ensure the accuracy and real-time nature of data collection.

[0063] For details, please refer to Figure 1 The dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis. It can process a large amount of complex data, quickly make optimization decisions on the tire blank entry angle, and transmit the optimized data to the automated logistics system to achieve precise control of the tire blank entry angle.

[0064] In this embodiment: the dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis, can process a large amount of complex data, quickly make optimization decisions on the tire blank entry angle, and transmit the optimized data to the automated logistics system to achieve precise control of the tire blank entry angle.

[0065] For details, please refer to Figure 1 , and also includes a material execution system trolley, which is used to efficiently transport the adjusted tire blank to the waiting position in front of the vulcanizer for vulcanization treatment.

[0066] In this embodiment: a material execution system (MES) trolley is also included, which is used to efficiently transport the adjusted tire blank to the waiting position in front of the vulcanizer for vulcanization treatment, thereby ensuring the continuity and efficiency of the production process.

[0067] For details, please refer to Figure 1 The tire blank rotating device has high-precision positioning capability. According to the optimal entry angle provided by the dynamic optimization algorithm, it accurately adjusts the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0068] In this embodiment: the tire blank rotating device has high-precision positioning capability, and can accurately adjust the position of the tire blank according to the optimal mold entry angle provided by the dynamic optimization algorithm to ensure that the tire blank enters the vulcanization mold at the optimal angle.

[0069] For details, please refer to Figure 1 It also includes a continuous monitoring module, which is used to collect and analyze data on tire dynamic balance uniformity in real time, continuously optimize the tire embryo entry angle, form a self-learning and improved closed-loop control system, and improve the consistency and optimal state of tire dynamic balance uniformity.

[0070] In this embodiment: it also includes a continuous monitoring module, which is used to continuously optimize the tire embryo mold entry angle by collecting and analyzing the data of tire dynamic balance uniformity in real time, forming a self-learning and improved closed-loop control system, and improving the consistency and optimal state of tire dynamic balance uniformity.

[0071] Example 2

[0072] In the production of another batch of tires, the central control system found through real-time data analysis that the dynamic balance uniformity of tires of a certain specification fluctuated. The system automatically adjusted the tire blank mold entry angle, and continuously optimized the mold entry angle through machine learning algorithms, and finally found a more stable mold entry angle, which kept the tire dynamic balance uniformity in a better state. In addition, the efficient transportation of the MES trolley and the stable operation of the automated logistics system ensured the smoothness of the entire production process and significantly improved production efficiency.

[0073] The working principle and use process of the present invention: When the present solution is used, the automated detection equipment is first integrated into the key nodes of the tire production line to monitor the parameters related to the dynamic balance uniformity of the tire in real time; the data collected by the automated detection equipment is uploaded to the central control system in real time, and the system is responsible for data processing, analysis and storage to provide real-time data support for the subsequent dynamic optimization algorithm; when the advanced dynamic optimization algorithm carried by the central control system detects that the dynamic balance uniformity of a tire of a certain specification is abnormal, the optimization program of the tire blank mold entry angle is automatically triggered; the optimization program first performs mold entry angle tests at four different angles, and at least 4 tires are tested at each angle, and the results are compared. The dynamic balance uniformity of each group of tires is compared, and the optimal mold entry angle is determined by statistical methods; based on the optimal mold entry angle obtained by the dynamic optimization algorithm, the tire blank rotation device in the automated logistics system will automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle; the adjusted tire blank is efficiently transported by the material execution system trolley to the waiting station in front of the vulcanizer for vulcanization treatment; in this solution, through the deep integration of the automated logistics system and the intelligent control algorithm, the automated management and optimization of the dynamic balance uniformity of the tire is realized, which significantly improves the quality and efficiency of tire production, reduces the dependence on manual experience, and enhances the market competitiveness of tire products.

[0074] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. 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. A method for automatically optimizing tire dynamic balance uniformity based on a logistics system, characterized in that: The steps include: S1. Integrate automated testing equipment at key points of tire production lines to monitor tire dynamic balance uniformity related parameters in real time; S2, upload the data collected by the automated testing equipment to the central control system in real time, which is responsible for data processing, analysis and storage, and provides real-time data support for subsequent dynamic optimization algorithms; S3. When the advanced dynamic optimization algorithm of the central control system detects that the dynamic balance uniformity of a certain specification of tire is abnormal, the optimization program of the tire blank entering the mold is automatically triggered; S4, the optimization program firstly conducts mold entry angle tests at four different angles, tests at least four tires at each angle, and determines the best mold entry angle by comparing the dynamic balance uniformity of each group of tires using a statistical method; S5. Based on the optimal mold entry angle obtained by the dynamic optimization algorithm, the tire blank rotating device in the automated logistics system will automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle; S6. The adjusted tire blank is efficiently transported by the material execution system trolley to the waiting station in front of the vulcanizer for vulcanization treatment.

2. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 1, characterized in that: The automated testing equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution, which are installed at key locations at the tire blank molding outlet, pre-vulcanization testing station and post-vulcanization testing station.

3. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 2, characterized in that: The dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis, processes a large amount of complex data, quickly makes optimization decisions on the tire blank mold entry angle, and transmits the optimized data to the automated logistics system to control the tire blank mold entry angle.

4. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 3, characterized in that: It also includes the optimal entry angle derived based on the dynamic optimization algorithm, using the tire blank rotation device in the automated logistics system to automatically adjust the position of the tire blank to ensure that the tire blank enters the vulcanization mold at the optimal angle; using the material execution system trolley to efficiently transport the adjusted tire blank to the waiting station in front of the vulcanizer for vulcanization treatment, ensuring the continuity and efficiency of the production process.

5. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 4, characterized in that: The automated detection equipment is used to monitor parameters related to tire dynamic balance uniformity in real time and upload the data to the central control system; the central control system is equipped with a dynamic optimization algorithm, and the central control system is used to automatically trigger the optimization program of the tire blank entry angle when abnormal tire dynamic balance uniformity is detected; and a tire blank rotation device, which is used to adjust the position of the tire blank according to the instructions of the central control system to ensure that the tire blank enters the vulcanization mold at the optimal angle.

6. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 5, characterized in that: The automated testing equipment includes high-precision sensors for measuring tire radial runout, axial offset and weight distribution. These devices are installed at key nodes of the tire production line such as the tire blank molding outlet, pre-vulcanization testing station and post-vulcanization testing station.

7. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 6, characterized in that: The dynamic optimization algorithm has the functions of data cleaning, pattern recognition and predictive analysis. It can process a large amount of complex data, quickly make optimization decisions on the tire blank entry angle, and transmit the optimized data to the automated logistics system to achieve precise control of the tire blank entry angle.

8. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 7, characterized in that: The material execution system trolley is used to efficiently transport the adjusted tire blank to the waiting position in front of the vulcanizer for vulcanization treatment.

9. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 8, characterized in that: The tire blank rotating device has high-precision positioning capability and accurately adjusts the position of the tire blank according to the optimal mold entry angle provided by the dynamic optimization algorithm to ensure that the tire blank enters the vulcanization mold at the optimal angle.

10. The method for automatically optimizing tire dynamic balance uniformity based on a logistics system according to claim 9, characterized in that: The tire blank mold entry angle is optimized by a monitoring module, and the monitoring module improves the fit of the tire blank mold entry angle by collecting and analyzing data on tire dynamic balance uniformity in real time.

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