Agricultural integrated assembly line laser processing monitoring system

Abstract

The invention provides an agricultural integrated assembly line laser processing monitoring system, which comprises a data acquisition module, a real-time monitoring platform, a data analysis and feedback module and a man-machine interface module, and is characterized in that the data acquisition module comprises a plurality of sensor units, a data acquisition and processing unit and a data transmission and interface unit; the real-time monitoring platform comprises an interface unit, a data analysis and display unit and a system safety and stability unit, the data analysis and feedback module comprises a data mining and prediction unit, a quality control and optimization unit and a decision support unit, and the man-machine interface module comprises an operation interface unit. Through the high-precision sensor and the laser processing equipment, precise control over the processing process is achieved, the laser processing technology is famous in high precision, and due to introduction of the system, the processing precision is further improved, and it is ensured that agricultural tools meet the design requirement.

Description

Technical Field

[0001] This invention relates to the field of monitoring system technology, specifically to an integrated agricultural production line laser processing monitoring system. Background Technology

[0002] With the acceleration of agricultural mechanization, the manufacturing quality and efficiency of agricultural tools have become crucial factors restricting agricultural development. Laser processing technology, with its advantages of high precision, high efficiency, and low pollution, has been widely applied in the field of agricultural tool manufacturing. However, quality control and real-time monitoring during laser processing remain a challenge. Therefore, this paper aims to design an integrated agricultural production line laser processing monitoring system to achieve comprehensive monitoring of the laser processing of agricultural tools, ensuring processing quality and production efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide an integrated agricultural production line laser processing monitoring system, which aims to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an integrated agricultural production line laser processing monitoring system, comprising a data acquisition module, a real-time monitoring platform, a data analysis and feedback module, and a human-machine interface module. The data acquisition module includes multiple sensor units, a data acquisition and processing unit, and a data transmission and interface unit. The real-time monitoring platform includes an interface unit, a data analysis and display unit, and a system security and stability unit. The data analysis and feedback module includes a data mining and prediction unit, a quality control and optimization unit, and a decision support unit. The human-machine interface module includes an operation interface unit. The data acquisition module is responsible for collecting various parameters and status information during the laser processing; The real-time monitoring platform then displays and performs preliminary analysis on this information in real time. The data analysis and feedback module performs in-depth analysis of the monitoring data to provide a basis for production decisions. The human-machine interface module is used to enable interaction between humans and the system, facilitating operation and management.

[0005] The sensor unit includes a laser power sensor, which is used to monitor the output power of the laser and ensure stable laser energy. Temperature sensors monitor temperature changes in the processing area to prevent overheating from causing a decline in material properties or equipment damage. Displacement sensors are used to accurately measure the displacement of workpieces during the machining process to ensure machining accuracy. Quality sensors monitor the quality of the processed workpiece to evaluate the processing effect.

[0006] The data acquisition and processing unit receives sensor signals in real time, performs preprocessing operations such as filtering and amplification, and transmits the processed data to the real-time monitoring platform. It also has data storage capabilities for subsequent data analysis and backtracking.

[0007] The data acquisition module needs to connect to the real-time monitoring platform through a network interface to achieve real-time data transmission. The data mining and prediction unit can identify potential problems and optimization opportunities in the processing process by analyzing historical data. The quality control and optimization unit proposes quality control and optimization suggestions based on the results of data mining and prediction. The decision support unit can identify bottlenecks and weak links in the production process by analyzing and mining data, providing a basis for adjusting and optimizing the production plan.

[0008] The interface unit displays various parameters and status information during the laser processing in real time, such as laser power, temperature, displacement, and mass. It should also provide alarm and early warning functions, promptly alerting operators when any parameter exceeds a preset range. The data analysis and display unit, through mining and analyzing historical data, can identify patterns and trends in the processing, providing a basis for production decisions. The system security and stability unit employs security technologies such as firewalls and intrusion detection to ensure the security of data transmission and storage. Furthermore, it should possess fault recovery and fault tolerance capabilities to guarantee stable system operation.

[0009] The operation interface unit operates and controls the system through buttons, menus, and other controls on the interface. At the same time, the interface provides real-time processing information and alarm prompts so that operators can understand the processing status in a timely manner and take appropriate measures.

[0010] Compared with the prior art, the beneficial effects of the present invention are: I. Improve machining accuracy and efficiency Precise control: The system achieves precise control over the processing through high-precision sensors and laser processing equipment. Laser processing technology is already known for its high precision, and the introduction of this system further improves the accuracy of processing, ensuring that agricultural tools meet design requirements.

[0011] Real-time monitoring and adjustment: The system can monitor various parameters during the processing in real time, such as laser power, processing speed, and workpiece displacement. Once an abnormality is detected, adjustments are made immediately to avoid processing errors and improve processing efficiency.

[0012] II. Ensuring Processing Quality Quality monitoring and feedback: The system's built-in quality sensors and data analysis modules can monitor the quality of processed agricultural tools, promptly identify quality problems, and make adjustments through a feedback mechanism to ensure that every product meets quality standards.

[0013] Preventive problem solving: Through data analysis, the system can predict potential processing problems and take preventative measures in advance, thereby avoiding quality issues.

[0014] III. Optimize Production Process Automation and Intelligence: The system automates and automates the processing, reduces manual intervention and the possibility of human error, and improves the continuity and stability of the production process.

[0015] Adjust production plans flexibly: The system can flexibly adjust production plans based on market demand and inventory levels to achieve on-demand production and avoid problems of overproduction or underproduction.

[0016] IV. Reduce production costs Reduce material waste: By precisely controlling the processing, the system can reduce material waste and lower production costs.

[0017] Improve equipment utilization: The system monitors equipment status in real time, promptly detects and handles equipment malfunctions, and ensures that the equipment is always in optimal working condition, thereby improving equipment utilization and production efficiency.

[0018] V. Enhance safety and environmental friendliness Security monitoring and early warning: The system's built-in safety monitoring module can monitor the safety status during the processing in real time. Once a safety hazard is detected, an early warning will be issued immediately to ensure production safety.

[0019] Environmentally friendly processing: Laser processing technology itself is characterized by being pollution-free and low-energy-consumption, and the introduction of this system further improves the environmental friendliness of the processing, which is in line with the development trend of modern green manufacturing.

[0020] VI. Enhance decision support capabilities Data Analysis and Mining: Through data analysis and mining techniques, the system can extract valuable information from massive amounts of data, providing strong support for production decisions.

[0021] Visual presentation: The system provides intuitive data visualization capabilities, helping decision-makers quickly understand production status and market trends, thereby making more accurate decisions. Attached Figure Description

[0022] Figure 1 System framework diagram of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1 As shown, this embodiment provides an integrated agricultural production line laser processing monitoring system, including a data acquisition module, a real-time monitoring platform, a data analysis and feedback module, and a human-machine interface module; The specific process is as follows: Laser processing parameter settings: Based on the design requirements of agricultural tools and the characteristics of raw materials, laser processing parameters, such as laser power, processing speed, and cutting depth, are set through the system's human-machine interface.

[0025] The system's built-in parameter library can provide users with commonly used processing parameters for reference, and users can also customize settings according to their needs.

[0026] Laser processing monitoring: Once laser processing begins, the system uses high-precision sensors to monitor various parameters in real time during the processing, such as laser power stability, processing speed consistency, and workpiece displacement accuracy.

[0027] If any abnormal parameters are detected, the system will immediately issue a warning and prompt the user to make adjustments through the human-machine interface to ensure the stability and accuracy of the processing.

[0028] Quality monitoring and feedback: During the processing, the system's built-in quality sensors monitor the quality of the processed workpiece, such as measuring dimensional accuracy and surface roughness.

[0029] If a quality problem is detected, the system will immediately provide feedback to the user and offer adjustment suggestions to correct errors in the processing in a timely manner.

[0030] Processing completion and output: Once the agricultural tools are processed, the system will automatically stop the laser processing equipment and output the finished product to the designated location via an automated conveyor.

[0031] Users can view various data and quality monitoring results during the processing through the human-machine interface, so as to conduct quality assessment of the finished product.

[0032] Data recording and analysis: The system will record data throughout the entire processing, including processing parameters and quality monitoring results, for subsequent analysis and optimization.

[0033] Through data analysis, users can understand the advantages and disadvantages of the processing, providing a reference for subsequent improvements.

[0034] System maintenance and optimization: Regularly maintain and optimize the system, including cleaning sensors and updating software versions, to ensure system stability and accuracy.

[0035] Users can also expand and upgrade the system according to their actual needs to meet the processing needs of more types of agricultural tools.

[0036] in, I. Data Acquisition Module: Sensor configuration In laser processing production lines, multiple sensors are required to obtain comprehensive processing information. These include, but are not limited to: Laser power sensor: Used to monitor the output power of the laser to ensure stable laser energy.

[0037] Temperature sensor: Monitors temperature changes in the processing area to prevent overheating from causing a decline in material properties or equipment damage.

[0038] Displacement sensor: Used to accurately measure the displacement of the workpiece during the machining process to ensure machining accuracy.

[0039] Quality sensors: monitor the quality of the processed workpiece to evaluate the processing effect.

[0040] Data acquisition and processing unit The collected data needs to be processed by a dedicated data acquisition module. The system should be able to receive sensor signals in real time, perform preprocessing operations such as filtering and amplification, and transmit the processed data to a real-time monitoring platform. Simultaneously, the system should also have data storage capabilities for subsequent data analysis and retrospective analysis.

[0041] Data transmission and interface unit The data acquisition module needs to connect to the real-time monitoring platform via a network interface to achieve real-time data transmission. To ensure data accuracy and integrity, reliable data transmission protocols and encryption technologies should be used. Furthermore, the system should provide interfaces with other systems (such as enterprise resource management systems) to enable data sharing and integration.

[0042] II. Real-time monitoring platform: interface The real-time monitoring platform should have an intuitive and user-friendly interface design. The interface should be able to display various parameters and status information during the laser processing in real time, such as laser power, temperature, displacement, and quality. It should also provide alarm and warning functions, promptly alerting operators when any parameter exceeds the preset range.

[0043] Data Analysis and Presentation A real-time monitoring platform should not only be able to display data in real time, but also possess data analysis capabilities. By mining and analyzing historical data, patterns and trends in the processing can be discovered, providing a basis for production decisions. Simultaneously, the platform should also offer data visualization capabilities, intuitively displaying the analysis results in the form of charts, graphs, and other formats.

[0044] System security and stability The real-time monitoring platform is the core component of the system, and its security and stability are paramount. The system should employ security technologies such as firewalls and intrusion detection to ensure the security of data transmission and storage. Simultaneously, it should possess fault recovery and tolerance capabilities to guarantee stable system operation.

[0045] III. Data Analysis and Feedback Module: Data mining and prediction The data analysis and feedback module should be able to leverage advanced technologies such as machine learning to deeply mine the data collected by the real-time monitoring platform. By analyzing historical data, potential problems and optimization opportunities in the processing can be identified. Simultaneously, predictive models can be used to forecast future processing results, providing a basis for production planning.

[0046] Quality control and optimization The data analysis and feedback module should be able to propose quality control and optimization suggestions based on the results of data mining and prediction. For example, when large fluctuations in laser power are detected, the laser parameters can be adjusted to improve stability; when a decrease in processing accuracy is detected, the processing technology can be optimized or a more accurate sensor can be replaced.

[0047] Decision support The data analysis and feedback module should also support production decision-making. By analyzing and mining data, bottlenecks and weaknesses in the production process can be identified, providing a basis for adjusting and optimizing production plans. Simultaneously, production plans can be flexibly adjusted to meet changing market and customer demands.

[0048] IV. Human-Machine Interface Module: User interface The human-machine interface (HMI) should have an intuitive and user-friendly interface. Operators can operate and control the system using buttons, menus, and other controls on the interface. Simultaneously, the interface should provide real-time processing information and alarm prompts so that operators can promptly understand the processing status and take appropriate measures.

Claims

1. A laser processing monitoring system for an integrated agricultural production line, characterized in that: It includes a data acquisition module, a real-time monitoring platform, a data analysis and feedback module, and a human-machine interface module. The data acquisition module includes multiple sensor units, a data acquisition and processing unit, and a data transmission and interface unit. The real-time monitoring platform includes an interface unit, a data analysis and display unit, and a system security and stability unit. The data analysis and feedback module includes a data mining and prediction unit, a quality control and optimization unit, and a decision support unit. The human-machine interface module includes an operation interface unit. The data acquisition module is responsible for collecting various parameters and status information during the laser processing; The real-time monitoring platform then displays and performs preliminary analysis on this information in real time. The data analysis and feedback module performs in-depth analysis of the monitoring data to provide a basis for production decisions. The human-machine interface module is used to enable interaction between humans and the system, facilitating operation and management.

2. The integrated agricultural production line laser processing monitoring system according to claim 1, characterized in that: The sensor unit includes a laser power sensor, which is used to monitor the output power of the laser and ensure stable laser energy. Temperature sensors monitor temperature changes in the processing area to prevent overheating from causing a decline in material properties or equipment damage. Displacement sensors are used to accurately measure the displacement of workpieces during the machining process to ensure machining accuracy. Quality sensors monitor the quality of the processed workpiece to evaluate the processing effect.

3. The integrated agricultural production line laser processing monitoring system according to claim 1, characterized in that: The data acquisition and processing unit receives sensor signals in real time, performs preprocessing operations such as filtering and amplification, and transmits the processed data to the real-time monitoring platform. It also has data storage capabilities for subsequent data analysis and backtracking.

4. The integrated agricultural production line laser processing monitoring system according to claim 1, characterized in that: The data acquisition module needs to connect to the real-time monitoring platform through a network interface to achieve real-time data transmission. The data mining and prediction unit can identify potential problems and optimization opportunities in the processing process by analyzing historical data. The quality control and optimization unit proposes quality control and optimization suggestions based on the results of data mining and prediction. The decision support unit can identify bottlenecks and weak links in the production process by analyzing and mining data, providing a basis for adjusting and optimizing the production plan.

5. The integrated agricultural production line laser processing monitoring system according to claim 1, characterized in that: The interface unit displays various parameters and status information during the laser processing in real time, such as laser power, temperature, displacement, and mass. It should also provide alarm and early warning functions, promptly alerting operators when any parameter exceeds a preset range. The data analysis and display unit, through mining and analyzing historical data, can identify patterns and trends in the processing, providing a basis for production decisions. The system security and stability unit employs security technologies such as firewalls and intrusion detection to ensure the security of data transmission and storage. Furthermore, it should possess fault recovery and fault tolerance capabilities to guarantee stable system operation.

6. The integrated agricultural production line laser processing monitoring system according to claim 1, characterized in that: The operation interface unit operates and controls the system through buttons, menus, and other controls on the interface. At the same time, the interface provides real-time processing information and alarm prompts so that operators can understand the processing status in a timely manner and take appropriate measures.

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