PCBA circuit board production management system based on Internet of Things

Abstract

The invention discloses a PCBA circuit board production management system based on the Internet of Things, and the system comprises a material management module which is used for carrying out the warehousing, ex-warehouse and inventory management of PCBA circuit board production raw materials, and guaranteeing the sufficient and traceable materials needed by production; the production planning module is used for making detailed production plans according to order demands and distributing the production plans to corresponding production lines; the production equipment monitoring module is used for monitoring the states of PCBA circuit board production equipment in real time, and the states at least comprise the operation state and the fault alarm. The process parameter control module is used for setting and adjusting various process parameters required in the production process, wherein the process parameters at least comprise temperature and humidity; and the quality detection module adopts automatic PCBA circuit board detection equipment to carry out multi-dimensional quality detection on the product. According to the PCBA circuit board production management system based on the Internet of Things provided by the invention, by integrating a plurality of functional modules, comprehensive intelligence and automation of production management are realized, and the production efficiency, the product quality and the management level are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit board production management, and in particular to a PCBA circuit board production management system based on the Internet of Things. Background Art

[0002] With the development of information technology and the popularization of the concept of Industry 4.0, the manufacturing industry is undergoing unprecedented changes. Especially in the field of electronic manufacturing, PCBA (Printed Circuit Board Assembly) is the core link in the manufacture of electronic products. Its production efficiency, product quality and cost control directly affect the competitiveness of the final product. The traditional PCBA production management model has many shortcomings, such as:

[0003] 1. Manual material management: In the traditional mode, the procurement, warehousing, delivery and inventory management of materials rely heavily on manual operations, which are prone to errors, leading to production delays or material waste.

[0004] 2. Inflexible production plans: The formulation and adjustment of production plans often rely on experience and lack scientific data support, making it difficult to cope with rapid changes in market and customer demand.

[0005] 3. Delayed equipment monitoring: The status monitoring of production equipment is not timely enough, and fault warning and maintenance are not timely, resulting in production interruptions and increased maintenance costs.

[0006] 4. Insufficient supply chain coordination: Insufficient communication and collaboration with suppliers and customers leads to problems such as untimely material supply and inventory backlogs.

[0007] 5. Environmental conditions have a great impact: The temperature, humidity, cleanliness and other environmental conditions of the production workshop have an important impact on the production and product quality of PCBA, but the traditional management method lacks effective environmental monitoring means.

[0008] To this end, this application proposes a PCBA circuit board production management system based on Internet of Things technology. Summary of the invention

[0009] The purpose of the present invention is to provide a PCBA circuit board production management system based on the Internet of Things to solve many technical problems in the existing traditional PCBA production, such as manual material management, inflexible production planning, lagging equipment monitoring, insufficient supply chain coordination, and great influence of environmental conditions.

[0010] To achieve the above purpose, the present invention provides the following technical solutions:

[0011] A PCBA circuit board production management system based on the Internet of Things, comprising:

[0012] The material management module is responsible for the warehousing, outbound and inventory management of raw materials for PCBA circuit board production, ensuring that the materials required for production are sufficient and traceable;

[0013] The production planning module is used to formulate detailed production plans based on order requirements and allocate them to corresponding production lines;

[0014] The production equipment monitoring module is used to monitor the status of PCBA circuit board production equipment in real time, including at least the operating status and fault alarm;

[0015] The process parameter control module is used to set and adjust the various process parameters required in the production process, including at least temperature and humidity;

[0016] The quality inspection module uses automated PCBA circuit board inspection equipment to conduct multi-dimensional quality inspections on products;

[0017] Environmental monitoring module, used to monitor the temperature, humidity, and cleanliness of the production workshop to ensure that the production environment meets the standards;

[0018] Energy management module, used to record and analyze energy consumption during PCBA circuit board production and provide suggestions for energy conservation and emission reduction;

[0019] Logistics tracking module, used to track the entire process of finished products from leaving the factory to the hands of customers to ensure that the goods arrive safely and on time;

[0020] Supply chain collaboration module, which establishes close ties with suppliers and customers and enables information sharing between upstream and downstream supply chains;

[0021] Data analysis module, used to collect various data in the PCBA circuit board production process and use big data analysis technology to find potential problems;

[0022] Predictive maintenance module, which is used to predict possible equipment failures based on historical data so that preventive measures can be taken in advance;

[0023] User interface module, used to provide users with a friendly and easy-to-use operation interface to facilitate viewing and operating various functions of the system;

[0024] Security protection module, used to ensure the security of the system and data to prevent unauthorized access and malicious attacks;

[0025] Report generation module, used to generate various production reports regularly or on demand to help management make decisions;

[0026] The remote support module is used to provide remote technical support services to quickly resolve technical problems encountered in production.

[0027] As a further solution of the present invention, the material management module automatically calculates the quantity of required materials according to the production plan provided by the production planning module, and performs corresponding material procurement, warehousing, and material picking operations;

[0028] When the material inventory is lower than the preset threshold, the material management module will send an early warning message to the production planning module, reminding it to adjust the production plan or replenish materials in time.

[0029] As a further solution of the present invention, the production planning module allocates the production tasks to specific production lines and notifies the production equipment monitoring module to prepare to start the corresponding equipment;

[0030] The equipment monitoring module feeds back the equipment status to the production planning module. If there is an equipment failure, the production planning module needs to reschedule the production task.

[0031] As a further solution of the present invention, the equipment monitoring module continuously monitors the equipment operation status and transmits the data to the process parameter control module;

[0032] The process parameter control module adjusts relevant process parameters according to equipment status and production requirements to ensure a stable and efficient production process.

[0033] As a further solution of the present invention, the detection results of the quality detection module are directly fed back to the production planning module. For unqualified products, the production planning module needs to re-plan the production process, and the detection data will also be transmitted to the data analysis module for long-term trend analysis and quality problem location.

[0034] As a further solution of the present invention, environmental changes (such as temperature and humidity) monitored by the environmental monitoring module will affect the working efficiency of the production equipment and the quality of the product. This information will be transmitted to the production equipment monitoring module and the process parameter control module to make corresponding adjustments.

[0035] As a further solution of the present invention, the energy management module records equipment energy consumption data and interacts with the production equipment monitoring module to optimize energy use strategies and reduce production costs.

[0036] As a further solution of the present invention, the supply chain collaboration module is synchronized with the material management module and the production planning module to ensure that material supply matches production demand and promotes effective communication with suppliers and customers.

[0037] As a further solution of the present invention, the data analysis module serves as an information center, collects data from all other modules, conducts in-depth analysis, discovers potential problems and improvement opportunities, and the results are used to guide the optimization adjustment of each module.

[0038] As a further solution of the present invention, the predictive maintenance module predicts possible future failures based on equipment monitoring data, and notifies the production planning module in advance to perform preventive maintenance to avoid unexpected downtime. The user interface module is used to provide a human-computer interaction window, allowing operators to view system status, set parameters, and query historical records. All of these operations involve data exchange with other modules. The security protection module provides security for the entire system, including network security and data encryption, to ensure that communication between all modules is safe and reliable. The report generation module compiles various types of reports based on the data provided by the data analysis module for management reference and decision-making. The remote support module can access any module in the system to provide instant technical support and services to help quickly solve problems and reduce downtime.

[0039] Compared with the prior art, the PCBA circuit board production management system based on the Internet of Things of the present invention has the following beneficial effects:

[0040] The system integrates multiple functional modules to achieve comprehensive intelligent and automated production management, greatly improving production efficiency, product quality and management level:

[0041] 1. High degree of automation: Through the Internet of Things technology and automated equipment, the production process is managed automatically, reducing human intervention.

[0042] 2. Real-time monitoring: Use sensors and data acquisition technology to monitor the status of production equipment and production environment in real time to ensure the stability and efficiency of the production process.

[0043] 3. Data-driven: Through big data analysis technology, the large amount of data generated in the production process is deeply analyzed to identify potential problems and optimization opportunities.

[0044] 4. Intelligent decision-making: Provide rich reports and analysis tools to help management make scientific and reasonable decisions.

[0045] 5. Efficient collaboration: Strengthen communication and collaboration with suppliers and customers, realize information sharing upstream and downstream of the supply chain, and improve overall operational efficiency.

[0046] 6. Safe and reliable: Use advanced security protection technology to ensure the security of systems and data and prevent unauthorized access and malicious attacks. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Schematic diagram of the architecture of an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] The embodiment of the present invention provides a PCBA circuit board production management system based on the Internet of Things, such as Figure 1 As shown, it includes: material management module, production planning module, production equipment monitoring module, process parameter control module, quality inspection module, environmental monitoring module, energy management module, logistics tracking module, supply chain collaboration module, data analysis module, predictive maintenance module, user interface module, security protection module, report generation module and remote support module, among which:

[0050] The material management module is responsible for the warehousing, outbound and inventory management of raw materials for PCBA circuit board production, ensuring that the materials required for production are sufficient and traceable;

[0051] The production planning module is used to formulate detailed production plans based on order requirements and allocate them to corresponding production lines;

[0052] The production equipment monitoring module is used to monitor the status of PCBA circuit board production equipment in real time, including at least the operating status and fault alarm;

[0053] The process parameter control module is used to set and adjust various process parameters required in the production process, including at least temperature and humidity;

[0054] The quality inspection module uses automated PCBA circuit board inspection equipment to conduct multi-dimensional quality inspections on products;

[0055] The environmental monitoring module is used to monitor the temperature, humidity, and cleanliness of the production workshop to ensure that the production environment meets the standards;

[0056] The energy management module is used to record and analyze the energy consumption during the PCBA circuit board production process and put forward suggestions for energy saving and emission reduction;

[0057] The logistics tracking module is used to track the entire process of finished products from leaving the factory to the hands of customers to ensure that the goods arrive safely and on time;

[0058] The supply chain collaboration module establishes close ties with suppliers and customers to achieve information sharing between upstream and downstream supply chains;

[0059] The data analysis module is used to collect various data in the PCBA circuit board production process and use big data analysis technology to find potential problems;

[0060] The predictive maintenance module is used to predict possible equipment failures based on historical data so that preventive measures can be taken in advance;

[0061] The user interface module is used to provide users with a friendly and easy-to-use operating interface to facilitate viewing and operating the various functions of the system;

[0062] The security protection module is used to ensure the security of the system and data to prevent unauthorized access and malicious attacks;

[0063] The report generation module is used to generate various production reports regularly or on demand to help management make decisions;

[0064] The remote support module is used to provide remote technical support services to quickly resolve technical problems encountered in production.

[0065] In the embodiment of the present invention, the material management module automatically calculates the quantity of required materials according to the production plan provided by the production planning module, and performs corresponding material procurement, warehousing, and material picking operations;

[0066] When the material inventory is lower than the preset threshold, the material management module will send an early warning message to the production planning module, reminding it to adjust the production plan or replenish materials in time.

[0067] In the embodiment of the present invention, the production planning module allocates the production task to a specific production line and notifies the production equipment monitoring module to prepare to start the corresponding equipment;

[0068] The equipment monitoring module feeds back the equipment status to the production planning module. If there is an equipment failure, the production planning module needs to reschedule the production task.

[0069] In an embodiment of the present invention, the equipment monitoring module continuously monitors the equipment operating status and transmits the data to the process parameter control module;

[0070] The process parameter control module adjusts relevant process parameters according to equipment status and production requirements to ensure a stable and efficient production process.

[0071] In an embodiment of the present invention, the detection results of the quality detection module are directly fed back to the production planning module. For unqualified products, the production planning module needs to re-plan the production process. The detection data will also be transmitted to the data analysis module for long-term trend analysis and quality problem location.

[0072] In an embodiment of the present invention, environmental changes (such as temperature and humidity) monitored by the environmental monitoring module will affect the working efficiency of the production equipment and the quality of the product. This information will be transmitted to the production equipment monitoring module and the process parameter control module to make corresponding adjustments.

[0073] In the embodiment of the present invention, the energy management module records the equipment energy consumption data and interacts with the production equipment monitoring module to optimize the energy use strategy and reduce the production cost.

[0074] In an embodiment of the present invention, the supply chain collaboration module is synchronized with the material management module and the production planning module to ensure that material supply matches production demand while promoting effective communication with suppliers and customers.

[0075] In the embodiment of the present invention, the data analysis module serves as an information center, collects data from all other modules, conducts in-depth analysis, discovers potential problems and improvement opportunities, and the results are used to guide the optimization and adjustment of each module.

[0076] In an embodiment of the present invention, the predictive maintenance module predicts possible future failures based on equipment monitoring data, and notifies the production planning module in advance to perform preventive maintenance to avoid unexpected downtime. The user interface module is used to provide a window for human-computer interaction, allowing operators to view system status, set parameters, and query historical records. All of these operations involve data exchange with other modules. The security protection module provides security for the entire system, including network security and data encryption, to ensure that communication between all modules is secure and reliable. The report generation module compiles various types of reports based on the data provided by the data analysis module for reference and decision-making by management. The remote support module can access any module in the system to provide instant technical support and services to help quickly solve problems and reduce downtime.

[0077] In summary, the PCBA circuit board production management system based on the Internet of Things provided by the embodiment of the present invention has the following specific workflow:

[0078] S1. Material management and production planning:

[0079] The material management module automatically calculates the required material quantity according to the requirements of the production planning module, and performs material procurement, warehousing, and material collection operations.

[0080] When the material inventory is lower than the preset threshold, the material management module sends an early warning message to the production planning module, reminding it to adjust the production plan or replenish materials in time.

[0081] S2. Production task allocation and equipment preparation:

[0082] The production planning module formulates detailed production plans based on order requirements and assigns production tasks to specific production lines.

[0083] The production planning module notifies the production equipment monitoring module to prepare to start the corresponding production equipment.

[0084] S3. Production process monitoring and parameter adjustment:

[0085] The production equipment monitoring module monitors the status of the production equipment in real time, including operating status, fault alarm, etc., and transmits the data to the process parameter control module.

[0086] The process parameter control module adjusts relevant process parameters according to equipment status and production requirements to ensure the stability and efficiency of the production process.

[0087] S4. Quality inspection and feedback:

[0088] The quality inspection module uses automated testing equipment to conduct multi-dimensional quality inspections on products, and the test results are directly fed back to the production planning module.

[0089] For defective products, the production planning module re-plans the production process; the inspection data is also transmitted to the data analysis module for long-term trend analysis and quality problem location.

[0090] S5. Environmental monitoring and adaptation:

[0091] The environmental monitoring module monitors the temperature, humidity, cleanliness and other environmental conditions of the production workshop. This information will be transmitted to the production equipment monitoring module and the process parameter control module to make corresponding adjustments to ensure that the production environment meets the standards.

[0092] S6. Energy management and energy conservation and emission reduction;

[0093] The energy management module records equipment energy consumption data and interacts with the production equipment monitoring module to optimize energy usage strategies and reduce production costs.

[0094] S7. Supply chain collaboration and information sharing:

[0095] The supply chain collaboration module is synchronized with the material management module and the production planning module to ensure that material supply matches production demand while facilitating effective communication with suppliers and customers.

[0096] S8. Data analysis and optimization:

[0097] The data analysis module collects data from all other modules, conducts in-depth analysis, and identifies potential problems and improvement opportunities. The results are used to guide the optimization and adjustment of each module.

[0098] S9. Predictive maintenance and failure prevention:

[0099] The predictive maintenance module predicts possible future failures based on equipment monitoring data and notifies the production planning module in advance to perform preventive maintenance and avoid unexpected downtime.

[0100] S10. User interaction and system security:

[0101] The user interface module provides a friendly and easy-to-use operating interface, allowing operators to view system status, set parameters, and query historical records. All of these operations involve data exchange with other modules.

[0102] The security protection module provides security for the entire system, including network security and data encryption, ensuring that the communication between all modules is safe and reliable.

[0103] S11. Report generation and decision support:

[0104] The report generation module compiles various types of reports based on the data provided by the data analysis module for management reference and decision-making.

[0105] S12. Remote support and problem solving:

[0106] The remote support module can access any module in the system to provide instant technical support and services, helping to quickly solve problems and reduce downtime.

[0107] The embodiments of the present invention have the following technical effects:

[0108] 1. Improve production efficiency: Through automated management and real-time monitoring, human errors and waiting time are reduced, and production efficiency is improved.

[0109] 2. Improve product quality: Multi-dimensional quality inspection and real-time feedback mechanism ensure the high quality of each batch of products.

[0110] 3. Optimize resource allocation: Material management and supply chain collaboration modules ensure the precise matching of material supply and production demand, reducing inventory costs.

[0111] 4. Energy saving and consumption reduction: The energy management module optimizes the energy use strategy, reduces production costs, and meets environmental protection requirements.

[0112] 5. Enhanced security: The security protection module ensures the security of the system and data, preventing unauthorized access and malicious attacks.

[0113] 6. Data-driven decision-making: The data analysis module provides in-depth insights to help management make more scientific and reasonable decisions.

[0114] 7. Quickly respond to market changes: Flexible production planning and supply chain collaboration capabilities enable companies to quickly respond to changes in market demand.

[0115] Through the above work flow and technical effects, it can be seen that the present invention realizes comprehensive intelligent management of PCBA circuit board production, which significantly improves the competitiveness and market response speed of enterprises.

[0116] The above shows and describes the basic principles of the present invention. The above are only preferred embodiments of the present invention and are not intended to limit the present invention. The above embodiments and descriptions in the specification are only intended to illustrate the principles of the present invention. Without departing from the scope of the present invention, any modifications, equivalent substitutions and improvements made within the spirit and scope of the present invention should be included in the protection scope of the present invention.

Claims

1. A PCBA circuit board production management system based on the Internet of Things, characterized by include: The material management module is responsible for the warehousing, outbound and inventory management of raw materials for PCBA circuit board production, ensuring that the materials required for production are sufficient and traceable; The production planning module is used to formulate detailed production plans based on order requirements and allocate them to corresponding production lines; The production equipment monitoring module is used to monitor the status of PCBA circuit board production equipment in real time, including at least the operating status and fault alarm; The process parameter control module is used to set and adjust the various process parameters required in the production process, including at least temperature and humidity; The quality inspection module uses automated PCBA circuit board inspection equipment to conduct multi-dimensional quality inspections on products; Environmental monitoring module, used to monitor the temperature, humidity, and cleanliness of the production workshop to ensure that the production environment meets the standards; Energy management module, used to record and analyze energy consumption during PCBA circuit board production and provide suggestions for energy conservation and emission reduction; Logistics tracking module, used to track the entire process of finished products from leaving the factory to the hands of customers to ensure that the goods arrive safely and on time; Supply chain collaboration module, which establishes close ties with suppliers and customers and enables information sharing between upstream and downstream supply chains; Data analysis module, used to collect various data in the PCBA circuit board production process and use big data analysis technology to find potential problems; Predictive maintenance module, which is used to predict possible equipment failures based on historical data so that preventive measures can be taken in advance; User interface module, used to provide users with a friendly and easy-to-use operation interface to facilitate viewing and operating various functions of the system; Security protection module, used to ensure the security of the system and data to prevent unauthorized access and malicious attacks; Report generation module, used to generate various production reports regularly or on demand to help management make decisions; The remote support module is used to provide remote technical support services to quickly resolve technical problems encountered in production.

2. The PCBA circuit board production management system based on the Internet of Things according to claim 1 is characterized in that: The material management module automatically calculates the quantity of required materials according to the production plan provided by the production planning module, and performs corresponding material procurement, warehousing, and material collection operations; When the material inventory is lower than the preset threshold, the material management module will send an early warning message to the production planning module, reminding it to adjust the production plan or replenish materials in time.

3. The PCBA circuit board production management system based on the Internet of Things according to claim 2 is characterized in that: The production planning module allocates the production tasks to specific production lines and notifies the production equipment monitoring module to prepare to start the corresponding equipment; The equipment monitoring module feeds back the equipment status to the production planning module. If there is an equipment failure, the production planning module needs to reschedule the production task.

4. The PCBA circuit board production management system based on the Internet of Things according to claim 3 is characterized in that: The equipment monitoring module continuously monitors the equipment operating status and transmits the data to the process parameter control module; The process parameter control module adjusts relevant process parameters according to equipment status and production requirements to ensure a stable and efficient production process.

5. The PCBA circuit board production management system based on the Internet of Things according to claim 4 is characterized in that: The detection results of the quality detection module are directly fed back to the production planning module. For unqualified products, the production planning module needs to re-plan the production process. The detection data will also be transmitted to the data analysis module for long-term trend analysis and quality problem location.

6. The PCBA circuit board production management system based on the Internet of Things according to claim 5 is characterized in that: The environmental changes monitored by the environmental monitoring module will affect the working efficiency of the production equipment and the quality of the product. This information will be transmitted to the production equipment monitoring module and the process parameter control module to make corresponding adjustments.

7. The PCBA circuit board production management system based on the Internet of Things according to claim 6 is characterized in that: The energy management module records equipment energy consumption data and interacts with the production equipment monitoring module to optimize energy use strategies and reduce production costs.

8. The PCBA circuit board production management system based on the Internet of Things according to claim 7 is characterized in that: The supply chain collaboration module is synchronized with the material management module and the production planning module to ensure that material supply matches production demand while facilitating effective communication with suppliers and customers.

9. The PCBA circuit board production management system based on the Internet of Things according to claim 8 is characterized in that: The data analysis module serves as an information center, collecting data from all other modules, conducting in-depth analysis, identifying potential problems and improvement opportunities, and the results are used to guide the optimization and adjustment of each module.

10. The PCBA circuit board production management system based on the Internet of Things according to claim 9, characterized in that: The predictive maintenance module predicts possible future failures based on equipment monitoring data, and notifies the production planning module in advance to perform preventive maintenance to avoid unexpected downtime. The user interface module is used to provide a human-computer interaction window, allowing operators to view system status, set parameters, and query historical records. All of these operations involve data exchange with other modules. The security protection module provides security for the entire system, including network security and data encryption, to ensure that communication between all modules is safe and reliable. The report generation module compiles various types of reports based on the data provided by the data analysis module for management reference and decision-making. The remote support module can access any module in the system to provide instant technical support and services to help quickly solve problems and reduce downtime.

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