Intelligent application system for EPS outer package production

Abstract

The invention discloses an EPS outer package production intelligent application system, which comprises a system overall architecture and a function module, and is characterized in that the system overall architecture comprises a cloud platform and a hardware layer, the cloud platform is used for controlling and managing the hardware layer, and the hardware layer comprises intelligent production equipment and intelligent logistics equipment; the function module comprises an intelligent design and modeling module, an intelligent production control module, a quality intelligent detection module, an energy and environmental protection management module, an intelligent production scheduling module, a whole-process quality tracing module and an equipment predictive maintenance module. EPS packaging production enterprises are helped to realize transformation from traditional manufacturing to intelligent manufacturing, the market competitiveness is improved, the increasing personalized and high-quality packaging requirements are met, and meanwhile, the industrial trend of environmental protection and sustainable development is met; by integrating automatic equipment, an intelligent algorithm and industrial software, transformation of EPS outer package production from manual operation to data driving is achieved, and the method is suitable for manufacturing enterprises with high requirements for efficiency, quality and flexibility.

Description

Technical Field

[0001] The present invention relates to the technical field of EPS outer packaging production, in particular to an intelligent application system for EPS outer packaging production. Background Art

[0002] As we all know, EPS (expandable polystyrene), commonly known as "foam plastic" or "styrofoam," is commonly used in product packaging. Its lightweight, shock-resistant, and heat-insulating properties make it widely used in the transportation of electrical appliances, food, and fragile items. Its high plasticity allows for customization of cushioning linings in various shapes, while also being low-cost. However, existing EPS packaging production processes hinder the transition from traditional to intelligent manufacturing for EPS packaging manufacturers, hindering the growing demand for personalized, high-quality packaging. This makes it unsuitable for manufacturers with high requirements for efficiency, quality, and flexibility. Therefore, we propose an intelligent EPS packaging production application system to address these challenges. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent application system for EPS outer packaging production to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An EPS outer packaging production intelligent application system includes a system overall architecture and functional modules, the system overall architecture is connected to the functional modules, the system overall architecture includes a cloud platform and a hardware layer, the cloud platform is connected to the hardware layer, the cloud platform is used to control and manage the hardware layer, the hardware layer includes intelligent production equipment and intelligent logistics equipment; the functional modules include an intelligent design and modeling module, an intelligent production control module, a quality intelligent detection module, an energy and environmental management module, an intelligent production scheduling module, a full-process quality tracing module, and an equipment predictive maintenance module; the intelligent design and modeling module is connected to the intelligent production control module, the intelligent production control module and The quality intelligent detection module is connected to the energy and environmental management module, the energy and environmental management module is connected to the intelligent production scheduling module, the intelligent production scheduling module is connected to the full-process quality tracing module, the full-process quality tracing module is connected to the equipment predictive maintenance module; the intelligent design and modeling module includes a 3D parametric design unit, a structural strength intelligent analysis unit, and a material usage optimization unit. The 3D parametric design unit is connected to the structural strength intelligent analysis unit, and the structural strength intelligent analysis unit is connected to the material usage optimization unit; the intelligent production control module includes a fully automatic foaming molding control unit, a mold automatic The automatic switching management unit and the production parameter self-learning optimization unit are connected. The fully automatic foaming molding control unit is connected to the mold automatic switching management unit, and the mold automatic switching management unit is connected to the production parameter self-learning optimization unit; the quality intelligent detection module includes a machine vision detection unit, a density uniformity analysis unit, and an automatic sorting unit. The machine vision detection unit is connected to the density uniformity unit, and the density uniformity unit is connected to the automatic sorting unit; the energy and environmental management module includes an energy consumption monitoring unit, an energy consumption management unit, an exhaust gas treatment intelligent control unit, a waste material recovery unit, and a parameter self-optimization unit. The energy consumption monitoring unit is connected to the energy consumption management unit. The energy consumption management unit is connected to the intelligent control unit for waste gas treatment, the intelligent control unit for waste gas treatment is connected to the waste recovery unit, and the waste recovery unit is connected to the parameter self-optimization unit; the intelligent production scheduling module includes a dynamic production scheduling unit and a mold change management unit, and the dynamic production scheduling unit is connected to the mold change management unit; the full-process quality traceability module includes a blockchain traceability unit and an SPC statistical process control unit, and the blockchain traceability unit is connected to the SPC statistical process control unit; the equipment predictive maintenance module includes a vibration / temperature sensor unit and an automatic maintenance work order dispatching unit, and the vibration / temperature sensor unit is connected to the automatic maintenance work order dispatching unit.

[0006] As a further solution of the present invention: the intelligent production equipment includes an EPS forming machine, a visual inspection line, and a robotic sorting system. The EPS forming machine is equipped with a servo motor and an intelligent temperature control system, and supports rapid switching of molds of multiple specifications; the visual inspection line is equipped with an industrial camera and an AI algorithm, which can detect various defects such as dimensional deviation, bubbles, and material shortages, and eliminate defective products in real time; the robotic sorting system, with a six-axis robotic arm in conjunction with a conveyor belt, realizes automatic classification and stacking of finished products through laser radar navigation.

[0007] As a further solution of the present invention: the intelligent logistics equipment includes an AGV transport vehicle and an intelligent three-dimensional warehouse; the AGV transport vehicle is a magnetic navigation / laser navigation AGV with a load capacity of 1 ton, which automatically travels back and forth between the production line and the warehouse, and connects to the warehouse management system to achieve accurate material distribution; the intelligent three-dimensional warehouse has a shelf height of 20 meters and is equipped with a stacker.

[0008] As a further solution of the present invention: the 3D parametric design unit supports customers to input product size, shape, and load-bearing requirements, automatically generates EPS packaging structure, integrates AI optimization algorithm, automatically adjusts the buffer structure, reduces material waste, outputs mold processing data, and directly connects to CNC machine tools; the structural strength intelligent analysis unit, combined with finite element analysis, simulates drop, vibration, and stacking tests, and automatically optimizes EPS density distribution to ensure that the packaging protection performance meets the standards; the material usage optimization unit, based on a deep learning algorithm, analyzes historical data, optimizes the foaming ratio, and reduces raw material consumption.

[0009] As a further solution of the present invention: the fully automatic foaming molding control unit includes an intelligent temperature control system and an adaptive filling algorithm system. The intelligent temperature control system adjusts the steam pressure and mold temperature in real time to reduce molding defects; the adaptive filling algorithm system automatically adjusts the filling speed according to the fluidity of EPS particles to reduce bubbles and shrinkage deformation; the mold automatic switching management unit uses QR code recognition to automatically match mold parameters; the production parameter self-learning optimization unit, based on digital twin technology, simulates the production process in real time and dynamically adjusts parameters.

[0010] As a further solution of the present invention: the machine vision inspection unit is capable of detecting various defects such as cracks, dents, and deformations on the surface of the outer packaging; the density uniformity analysis unit uses X-ray or ultrasonic detection to ensure uniform density distribution inside the EPS; the automatic sorting unit, combined with robots and AI classification algorithms, automatically eliminates defective products and classifies and stacks qualified products.

[0011] As a further solution of the present invention: the energy consumption monitoring unit collects electricity, steam, and compressed air consumption in real time to optimize energy utilization efficiency; the waste gas treatment intelligent control unit monitors volatile organic compounds and automatically adjusts the operating parameters of the purification equipment. The parameters are liberalized and, through a machine learning algorithm, automatically adjusts the molding parameters according to the characteristics of the raw materials and the ambient temperature and humidity, reducing the cost of manual trial and error. The energy consumption management unit monitors the energy consumption of the equipment in real time and automatically adjusts the operating power of non-critical equipment during peak periods; the waste recovery unit includes a pulverizer and an automatic return system.

[0012] As a further solution of the present invention: the dynamic production scheduling unit automatically generates the optimal production scheduling plan through a genetic algorithm based on order priority, equipment capacity, and mold status; the mold change management unit scans the code to bind the mold information, and the system automatically retrieves the corresponding process parameters.

[0013] As a further solution of the present invention: the blockchain traceability unit assigns a unique QR code to each product, records multiple data such as raw material batch, production time, equipment number, and test results, and supports one-click traceability. The SPC statistical process control unit draws a mean-range control chart in real time to provide early warning of process fluctuations.

[0014] As a further solution of the present invention: the vibration / temperature sensor unit is deployed in multiple key components of the motor and bearing, and the vibration spectrum is analyzed through Fourier transform to predict the bearing wear cycle. The maintenance work order automatic dispatching unit, the system automatically generates a work order according to the maintenance cycle or abnormal warning, and pushes it to the maintenance personnel's mobile terminal.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] This intelligent application system for EPS outer packaging production helps EPS packaging manufacturers transition from traditional manufacturing to intelligent manufacturing, enhance their market competitiveness, and meet the growing demand for personalized, high-quality packaging, while also complying with industry trends towards environmental protection and sustainable development. By integrating automated equipment, intelligent algorithms, and industrial software, the system enables the transition from manual to data-driven EPS outer packaging production, making it suitable for manufacturers with high requirements for efficiency, quality, and flexibility.

[0017] Improve production efficiency: Through automated production processes and intelligent scheduling, manual intervention and production waiting time are reduced, the operating efficiency of production equipment is improved, thereby achieving a significant increase in production efficiency;

[0018] Reduce costs: Optimize resource allocation, reduce waste of manpower, materials and energy. At the same time, reduce the defective rate, reduce losses caused by product quality problems, and reduce production costs;

[0019] Improve product quality: Strict quality control system and real-time quality inspection ensure the stability and consistency of product quality and improve the market competitiveness of products;

[0020] Enhance enterprise competitiveness: Intelligent production systems enable enterprises to quickly respond to market demands and flexibly adjust production plans, thereby improving their market adaptability and competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a structural diagram of the intelligent application system for EPS outer packaging production of the present invention.

[0022] Figure 2 It is a structural diagram of the intelligent design and modeling module in the present invention.

[0023] Figure 3 This is a structural diagram of the intelligent production control module in the present invention.

[0024] Figure 4 It is a structural diagram of the quality intelligent detection module in the present invention.

[0025] Figure 5 It is a structural diagram of the energy and environmental management module in the present invention.

[0026] Figure 6 This is a structural diagram of the intelligent production scheduling module in the present invention.

[0027] Figure 7 It is a structural diagram of the full-process quality traceability module in the present invention.

[0028] Figure 8 This is a schematic diagram of the structure of the equipment predictive maintenance module in the present invention. DETAILED DESCRIPTION

[0029] In one embodiment, Figures 1-8As shown, an intelligent application system for EPS outer packaging production includes a system overall architecture and functional modules. The system overall architecture is connected with the functional modules. The system overall architecture includes a cloud platform and a hardware layer. The cloud platform is connected with the hardware layer. The cloud platform is used to control and manage the hardware layer. The hardware layer includes intelligent production equipment and intelligent logistics equipment; the functional modules include intelligent design and modeling module, intelligent production control module, quality intelligent detection module, energy and environmental management module, intelligent production scheduling module, full-process quality traceability module, and equipment predictive maintenance module; the intelligent design and modeling module is connected with the intelligent production control module. The intelligent production control module The intelligent quality detection module is connected to the energy and environmental management module, the energy and environmental management module is connected to the intelligent production scheduling module, the intelligent production scheduling module is connected to the full-process quality traceability module, the full-process quality traceability module is connected to the equipment predictive maintenance module; the intelligent design and modeling module includes a 3D parametric design unit, a structural strength intelligent analysis unit, and a material usage optimization unit. The 3D parametric design unit is connected to the structural strength intelligent analysis unit, and the structural strength intelligent analysis unit is connected to the material usage optimization unit; the intelligent production control module includes a fully automatic foaming molding control unit, a mold It is equipped with an automatic switching management unit and a production parameter self-learning optimization unit. The fully automatic foaming molding control unit is connected to the mold automatic switching management unit, and the mold automatic switching management unit is connected to the production parameter self-learning optimization unit. The quality intelligent detection module includes a machine vision detection unit, a density uniformity analysis unit, and an automatic sorting unit. The machine vision detection unit is connected to the density uniformity unit, and the density uniformity unit is connected to the automatic sorting unit. The energy and environmental management module includes an energy consumption monitoring unit, an energy consumption management unit, an exhaust gas treatment intelligent control unit, a waste material recovery unit, and a parameter self-optimization unit. The energy consumption monitoring unit is connected to the energy consumption management unit. The energy consumption management unit is connected to the intelligent control unit for waste gas treatment, the intelligent control unit for waste gas treatment is connected to the waste recovery unit, and the waste recovery unit is connected to the parameter self-optimization unit; the intelligent production scheduling module includes a dynamic production scheduling unit and a mold change management unit, and the dynamic production scheduling unit is connected to the mold change management unit; the full-process quality traceability module includes a blockchain traceability unit and an SPC statistical process control unit, and the blockchain traceability unit is connected to the SPC statistical process control unit; the equipment predictive maintenance module includes a vibration / temperature sensor unit and an automatic maintenance work order dispatching unit, and the vibration / temperature sensor unit is connected to the automatic maintenance work order dispatching unit;

[0030] The cloud platform also includes the Industrial Internet of Things (IIoT), which includes a manufacturing execution system, warehouse management system, and quality management system. It uses the OPC UA protocol to collect real-time device data, achieving a 100% device networking rate and real-time collection of temperature, pressure, vibration, energy consumption, and other data.

[0031] Intelligent production equipment includes EPS forming machines, visual inspection lines, and robotic sorting systems. The EPS forming machines are equipped with servo motors and intelligent temperature control systems, supporting rapid switching of molds of various specifications. The visual inspection lines, equipped with industrial cameras and AI algorithms, can detect defects such as dimensional deviations, bubbles, and material shortages, and remove defective products in real time. The robotic sorting system uses a six-axis robotic arm with a conveyor belt and laser radar navigation to automatically sort and palletize finished products.

[0032] Intelligent logistics equipment includes AGV transport vehicles and intelligent high-bay warehouses; the AGV transport vehicles, magnetically guided or laser-guided, have a load capacity of 1 ton and automatically travel between the production line and the warehouse, connecting to the warehouse management system for precise material distribution; the intelligent high-bay warehouse has shelves 20 meters high and is equipped with stacking cranes;

[0033] The 3D parametric design unit allows customers to input product size, shape, and load-bearing requirements, automatically generating EPS packaging structures. It integrates AI optimization algorithms to automatically adjust buffer structures, reducing material waste, output mold processing data, and directly connect to CNC machine tools. The intelligent structural strength analysis unit combines finite element analysis with simulated drop, vibration, and stacking tests to automatically optimize EPS density distribution to ensure that packaging protection performance meets standards. The material usage optimization unit uses deep learning algorithms to analyze historical data, optimize foaming ratios, and reduce raw material consumption.

[0034] The fully automatic foam molding control unit includes an intelligent temperature control system and an adaptive mold filling algorithm system. The intelligent temperature control system adjusts steam pressure and mold temperature in real time to reduce molding defects. The adaptive mold filling algorithm system automatically adjusts the filling speed according to the fluidity of the EPS particles to reduce bubbles and shrinkage deformation. The mold automatic switching management unit uses QR code recognition to automatically match mold parameters. The production parameter self-learning optimization unit, based on digital twin technology, simulates the production process in real time and dynamically adjusts parameters (such as pressure, temperature, and cooling time). The digital twin establishes a virtual production line, simulates the production status in real time, and predicts equipment failures.

[0035] The machine vision inspection unit can detect various defects such as cracks, dents, and deformations on the outer packaging surface; the density uniformity analysis unit uses X-ray or ultrasonic testing to ensure uniform density distribution inside the EPS; the automatic sorting unit combines robots and AI classification algorithms to automatically remove defective products and classify and stack qualified products; the AI optimization algorithm uses reinforcement learning (RL) to optimize the production process: optimal foaming time prediction, mold cooling efficiency optimization, and defect root cause analysis.

[0036] The energy consumption monitoring unit collects electricity, steam, and compressed air consumption in real time to optimize energy efficiency. The intelligent exhaust gas treatment control unit monitors volatile organic compounds and automatically adjusts purification equipment operating parameters. Parameter liberalization uses machine learning algorithms to automatically adjust molding parameters based on raw material characteristics and ambient temperature and humidity, reducing manual trial and error costs. The energy consumption management unit monitors equipment energy consumption in real time and automatically adjusts the operating power of non-critical equipment during peak periods. The waste recovery unit includes a pulverizer and automatic return system.

[0037] The dynamic production scheduling unit automatically generates the optimal production schedule based on order priority, equipment capacity, and mold status through genetic algorithms. The mold change management unit automatically retrieves the corresponding process parameters by scanning the code to bind the mold information.

[0038] The blockchain traceability unit assigns a unique QR code to each product, recording various data such as raw material batch, production time, equipment number, and test results, supporting one-click traceability. The SPC statistical process control unit draws mean-range control charts in real time, providing early warning of process fluctuations.

[0039] Vibration / temperature sensor units are deployed in key components such as motors and bearings. They analyze vibration spectra through Fourier transforms to predict bearing wear cycles and automatically dispatch maintenance work orders. The system automatically generates work orders based on maintenance cycles or abnormality warnings and pushes them to maintenance personnel's mobile devices.

[0040] This invention helps EPS packaging manufacturers achieve the transition from traditional manufacturing to intelligent manufacturing, enhance market competitiveness, meet the growing demand for personalized, high-quality packaging, and comply with industry trends of environmental protection and sustainable development. By integrating automated equipment, intelligent algorithms, and industrial software, the system realizes the transformation of EPS outer packaging production from manual to data-driven, and is suitable for manufacturers with high requirements for efficiency, quality, and flexibility.

[0041] Improve production efficiency: Through automated production processes and intelligent scheduling, manual intervention and production waiting time are reduced, the operating efficiency of production equipment is improved, thereby achieving a significant increase in production efficiency;

[0042] Reduce costs: Optimize resource allocation, reduce waste of manpower, materials and energy. At the same time, reduce the defective rate, reduce losses caused by product quality problems, and reduce production costs;

[0043] Improve product quality: Strict quality control system and real-time quality inspection ensure the stability and consistency of product quality and improve the market competitiveness of products;

[0044] Enhance enterprise competitiveness: Intelligent production systems enable enterprises to quickly respond to market demands and flexibly adjust production plans, thereby improving their market adaptability and competitiveness.

[0045] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An intelligent application system for EPS outer packaging production, characterized in that: It includes a system overall architecture and functional modules, the system overall architecture is connected to the functional modules, the system overall architecture includes a cloud platform and a hardware layer, the cloud platform is connected to the hardware layer, the cloud platform is used to control and manage the hardware layer, the hardware layer includes intelligent production equipment and intelligent logistics equipment; the functional modules include intelligent design and modeling module, intelligent production control module, quality intelligent detection module, energy and environmental management module, intelligent production scheduling module, full-process quality traceability module, equipment predictive maintenance module; the intelligent design and modeling module is connected to the intelligent production control module, the intelligent production control module is connected to the quality intelligent detection module, the The quality intelligent detection module is connected to the energy and environmental management module, the energy and environmental management module is connected to the intelligent production scheduling module, the intelligent production scheduling module is connected to the full-process quality tracing module, the full-process quality tracing module is connected to the equipment predictive maintenance module; the intelligent design and modeling module includes a 3D parametric design unit, a structural strength intelligent analysis unit, and a material usage optimization unit, the 3D parametric design unit is connected to the structural strength intelligent analysis unit, the structural strength intelligent analysis unit is connected to the material usage optimization unit; the intelligent production control module includes a fully automatic foaming molding control unit, a mold automatic switching management unit, a production The production parameter self-learning optimization unit, the fully automatic foaming molding control unit is connected to the mold automatic switching management unit, and the mold automatic switching management unit is connected to the production parameter self-learning optimization unit; the quality intelligent detection module includes a machine vision detection unit, a density uniformity analysis unit, and an automatic sorting unit, the machine vision detection unit is connected to the density uniformity unit, and the density uniformity unit is connected to the automatic sorting unit; the energy and environmental management module includes an energy consumption monitoring unit, an energy consumption management unit, an exhaust gas treatment intelligent control unit, a waste recovery unit, and a parameter self-optimization unit, the energy consumption monitoring unit is connected to the energy consumption management unit, and the energy consumption management The unit is connected to the intelligent control unit for waste gas treatment, the intelligent control unit for waste gas treatment is connected to the waste recovery unit, and the waste recovery unit is connected to the parameter self-optimization unit; the intelligent production scheduling module includes a dynamic production scheduling unit and a mold change management unit, and the dynamic production scheduling unit is connected to the mold change management unit; the full-process quality traceability module includes a blockchain traceability unit and an SPC statistical process control unit, and the blockchain traceability unit is connected to the SPC statistical process control unit; the equipment predictive maintenance module includes a vibration / temperature sensor unit and a maintenance work order automatic dispatching unit, and the vibration / temperature sensor unit is connected to the maintenance work order automatic dispatching unit.

2. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The intelligent production equipment includes an EPS forming machine, a visual inspection line, and a robotic sorting system. The EPS forming machine is equipped with a servo motor and an intelligent temperature control system, supporting rapid switching of molds of multiple specifications. The visual inspection line is equipped with an industrial camera and AI algorithm, which can detect various defects such as dimensional deviation, bubbles, and material shortages, and eliminate defective products in real time. The robotic sorting system uses a six-axis robotic arm in conjunction with a conveyor belt and laser radar navigation to achieve automatic classification and stacking of finished products.

3. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The intelligent logistics equipment includes AGV transport vehicles and intelligent three-dimensional warehouses; the AGV transport vehicles are magnetic navigation / laser navigation AGVs with a load capacity of 1 ton, which automatically travel back and forth between the production line and the warehouse, and connect to the warehouse management system to achieve accurate material distribution; the intelligent three-dimensional warehouse has shelves with a height of 20 meters and is equipped with a stacker.

4. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The 3D parametric design unit supports customers to input product size, shape, and load-bearing requirements, automatically generates EPS packaging structure, integrates AI optimization algorithms, automatically adjusts the buffer structure, reduces material waste, outputs mold processing data, and directly connects to CNC machine tools; the structural strength intelligent analysis unit combines finite element analysis to simulate drop, vibration, and stacking tests, and automatically optimizes EPS density distribution to ensure that packaging protection performance meets standards; the material usage optimization unit analyzes historical data based on deep learning algorithms, optimizes the foaming ratio, and reduces raw material consumption.

5. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The fully automatic foaming molding control unit includes an intelligent temperature control system and an adaptive filling algorithm system. The intelligent temperature control system adjusts the steam pressure and mold temperature in real time to reduce molding defects; the adaptive filling algorithm system automatically adjusts the filling speed according to the fluidity of the EPS particles to reduce bubbles and shrinkage deformation; the mold automatic switching management unit uses QR code recognition to automatically match mold parameters; the production parameter self-learning optimization unit, based on digital twin technology, simulates the production process in real time and dynamically adjusts parameters.

6. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The machine vision inspection unit can detect various defects such as cracks, dents, and deformations on the surface of the outer packaging; the density uniformity analysis unit uses X-ray or ultrasonic detection to ensure uniform density distribution inside the EPS; the automatic sorting unit, combined with robots and AI classification algorithms, automatically eliminates defective products and classifies and stacks qualified products.

7. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The energy consumption monitoring unit collects electricity, steam, and compressed air consumption in real time to optimize energy utilization efficiency; the waste gas treatment intelligent control unit monitors volatile organic compounds and automatically adjusts the operating parameters of the purification equipment. The parameters are liberalized and, through machine learning algorithms, automatically adjust the molding parameters according to the characteristics of the raw materials and the ambient temperature and humidity, reducing the cost of manual trial and error. The energy consumption management unit monitors the energy consumption of the equipment in real time and automatically adjusts the operating power of non-critical equipment during peak periods; the waste recovery unit includes a pulverizer and an automatic return system.

8. The EPS outer packaging production intelligent application system according to claim 1 is characterized in that: The dynamic production scheduling unit automatically generates the optimal production schedule through a genetic algorithm based on order priority, equipment capacity, and mold status. The mold change management unit scans the code to bind the mold information, and the system automatically retrieves the corresponding process parameters.

9. The EPS outer packaging production intelligent application system according to claim 1, characterized in that: The blockchain traceability unit assigns a unique QR code to each product, recording various data such as raw material batch, production time, equipment number, and test results, and supports one-click traceability. The SPC statistical process control unit draws a mean-range control chart in real time, providing early warning of process fluctuations.

10. The EPS outer packaging production intelligent application system according to claim 1, characterized in that: The vibration / temperature sensor unit is deployed in multiple key components such as motors and bearings. It analyzes the vibration spectrum through Fourier transform and predicts the bearing wear cycle. The maintenance work order automatic dispatching unit automatically generates work orders based on the maintenance cycle or abnormal warning and pushes them to the maintenance personnel's mobile terminal.

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