Production management control system based on Internet of Things

Abstract

The invention discloses a production management control system based on the Internet of Things, and relates to the technical field of injection molding machines, and the system collects production data in real time through an injection molding machine data collection server, and transmits the production data to a database server for storage through an Internet of Things module. And the IIS server provides a data access interface and supports remote access and monitoring of the injection molding station working panel, the mobile terminal and the billboard module. The system has the functions of data preprocessing, encrypted transmission, data backup and recovery and the like, and data security and accuracy are ensured. The billboard module displays the production data in real time and gives an alarm in case of abnormality, thereby improving the management efficiency. The injection molding station working panel and the mobile terminal support multi-platform operation, and remote management is facilitated. According to the invention, comprehensive monitoring and intelligent management of the production process of the injection molding machine are realized, the production efficiency is improved, the operation cost is reduced, and the product quality and the intelligent management level are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of injection molding machines, and in particular to a production management and control system based on the Internet of Things. Background Art

[0002] In modern manufacturing, injection molding machines are key equipment in the plastic processing industry. The monitoring and management of their production efficiency, product quality, and operating status are crucial to the overall operational benefits of the enterprise. However, traditional injection molding machine management methods mostly rely on manual inspections and manual records, which is not only inefficient, but also difficult to achieve real-time and accurate monitoring. In addition, with the expansion and complexity of production scale, how to effectively integrate production data, realize remote monitoring and intelligent management has become an urgent problem to be solved.

[0003] The rapid development of the Internet of Things technology has provided a new opportunity to solve the above problems. Through advanced technologies such as sensors, network communications, and cloud computing, the Internet of Things technology connects various devices, systems, and applications in the physical world through the Internet, realizing the real-time collection, transmission, and processing of information. Applying the Internet of Things technology to the production management of injection molding machines can realize the real-time collection, remote monitoring, and intelligent management of the production data of injection molding machines, thereby improving production efficiency, reducing operating costs, and improving product quality.

[0004] However, most of the existing production management and control systems based on the Internet of Things have problems such as single function, insufficient data processing capability, and poor security, which makes it difficult to meet the comprehensive needs of modern manufacturing for injection molding machine management. Therefore, a production management and control system based on the Internet of Things with complete functions, strong data processing capability, and high security is proposed. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a production management and control system based on the Internet of Things, which solves the problems raised by the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a production management and control system based on the Internet of Things, including an injection molding machine, an injection molding machine work tablet, a kanban module, a mobile terminal, an Internet of Things module, an injection molding machine data acquisition server, a database server and an IIS server, the injection molding machine data acquisition server is used to collect production data of the injection molding machine, the database server is used to store the production data collected by the injection molding machine data acquisition server, the IIS server is connected to the database server, and is used to store the production data on the IIS server and provide a data access interface, the Internet of Things module is connected to the injection molding machine, the injection molding machine work tablet, the kanban module, the mobile terminal injection molding machine data acquisition server, and the IIS server, and is used to transmit the production data to the injection molding machine work tablet and the mobile terminal in real time, the kanban module is used to display the production data in real time, the injection molding machine work tablet and the mobile terminal can access the production data on the IIS server through the Internet of Things module to achieve remote monitoring and management.

[0007] Furthermore, the injection molding machine data acquisition server includes a data preprocessing module for cleaning, arranging and formatting the collected production data.

[0008] Furthermore, the IIS server includes a data backup and recovery module for regularly backing up the stored production data and restoring the data when necessary.

[0009] Furthermore, the Internet of Things module includes a data encryption module for encrypting data when transmitting production data.

[0010] Furthermore, the kanban module includes an alarm module. When the production data exceeds a preset range or an abnormality occurs, the alarm module will send out an alarm signal to remind production personnel to handle it in time.

[0011] Furthermore, the injection molding machine work tablet and mobile terminal can support multiple operating systems and platforms, including but not limited to iOS, Android and Windows.

[0012] Furthermore, the mobile terminal has a built-in remote shutdown module. When the system detects that the number of defective products produced by the injection molding machine exceeds a preset threshold, the user can remotely shut down the injection molding machine through the remote shutdown module in the mobile terminal to reduce losses and handle them in a timely manner.

[0013] Furthermore, the mobile terminal also has a built-in authority verification module to ensure that only authorized personnel can perform remote shutdown operations, thereby enhancing the security and controllability of the system.

[0014] Furthermore, the IIS server has a built-in AI module, and the IIS server can be communicatively connected with several injection molding machines.

[0015] Furthermore, the IIS server can collect and analyze the working efficiency, production quality and parameter data of each injection molding machine. When the process parameters of a certain injection molding machine show a higher yield rate, the IIS server can automatically optimize and synchronize the parameter data to other injection molding machines through the AI ​​module.

[0016] The present invention provides a production management and control system based on the Internet of Things. Compared with the prior art, it has the following beneficial effects: 1. Improve production efficiency: The system can collect production data of the injection molding machine in real time and quickly transmit it to relevant equipment and servers through the Internet of Things module, so that managers can understand the production situation in time and make correct decisions, thereby improving production efficiency.

[0017] 2. Reduce operating costs: Through remote monitoring and intelligent management, the system can promptly detect and handle abnormal situations in the production process, avoid downtime and production losses caused by equipment failure, and thus reduce operating costs.

[0018] 3. Improve product quality: The system can record and analyze the production data of the injection molding machine in real time, help managers to promptly identify quality problems in the production process, and take corresponding measures to improve them, thereby improving product quality.

[0019] 4. Enhanced data security: The system adopts data encryption and backup recovery mechanisms to ensure the security and integrity of production data and prevent data leakage and loss.

[0020] 5. Improve the level of intelligent management: The system realizes intelligent management of the production process through functions such as data analysis and alarm modules, reduces the labor intensity of managers and improves management efficiency.

[0021] 6. By integrating the remote shutdown module and AI intelligent optimization function, the flexibility and intelligence level of production management have been significantly improved. In particular, when the system detects that the number of defective products exceeds the preset threshold, it can quickly achieve remote shutdown through the mobile terminal, effectively avoiding the continued production of defective products, thereby greatly reducing production costs and waste, and improving the company's production efficiency and market competitiveness.

[0022] 7. The IIS server in the system has a built-in AI module with self-learning capabilities, which can automatically adjust and optimize the process parameters of the injection molding machine based on historical data and real-time data. This intelligent parameter optimization not only improves production efficiency, but also ensures the stability and consistency of product quality, reduces the errors and uncertainties caused by manual parameter adjustment, and further improves overall production efficiency and yield rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic block diagram of the structure of the present invention; Figure 2 It is a schematic block diagram of the structure of the mobile terminal in the present invention; Figure 3 It is a schematic structural diagram of the IIS server in the present invention.

[0024] In the figure: 1. Injection molding machine; 2. Injection molding machine work tablet; 3. Kanban module; 31. Alarm module; 4. Mobile terminal; 41. Remote shutdown module; 42. Authority verification module; 5. Internet of Things module; 6. Injection molding machine data acquisition server; 7. Database server; 8. IIS server; 81. AI module. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0026] See also Figure 1The present invention provides a technical solution: a production management and control system based on the Internet of Things, which is composed of an injection molding machine 1, an injection molding machine work flat panel 2, a kanban module 3, a mobile terminal 4, an Internet of Things module 5, an injection molding machine data acquisition server 6, a database server 7 and an IIS server 8. Specifically, the injection molding machine 1 is used to perform injection molding operations and is the core equipment in the production process. The injection molding machine work flat panel 2 is installed next to the injection molding machine and is used to display the production status and data of the injection molding machine in real time, supporting remote operation and monitoring. The kanban module 3 is set at a key position in the production area and is used to display the overall production data, including production progress, equipment status, etc. The mobile terminal 4 is such as a smart phone or a tablet computer. Managers can remotely access production data through these devices to achieve mobile management. The Internet of Things module 5 is the data transmission core of the system and is responsible for collecting and transmitting production data from the injection molding machine to other modules. The injection molding machine data acquisition server 6 is responsible for collecting real-time production data of the injection molding machine and performing preliminary processing. The database server 7 is used to store and manage the production data transmitted by the injection molding machine data acquisition server 6. The IIS server 8 is an interface for data storage and access, providing data access services, and supporting data backup and recovery. In addition, the injection molding machine data acquisition server 6 is connected to the injection molding machine 1 through a dedicated data interface to collect real-time production data of the injection molding machine, such as temperature, pressure, injection speed, etc. The server contains a data preprocessing module, which cleans, organizes and formats the collected data to ensure the accuracy and consistency of the data; The database server 7 adopts a high-performance database management system to store and manage the production data transmitted from the injection molding machine data acquisition server 6. The database is reasonably designed to support efficient data query and analysis; The IIS server 8 is connected to the database server 7 and is used to store production data on the server and provide a data access interface. The IIS server 8 contains a data backup and recovery module, which automatically backs up the stored production data regularly to ensure the security and integrity of the data. When necessary, the data can be quickly restored through this module; The IoT module 5 serves as the data transmission core of the system, and connects the injection molding machine, the injection molding machine work tablet 2, the kanban module 3, the mobile terminal 4, and the server through wired or wireless means. The module contains a data encryption module, which encrypts the data when transmitting production data to ensure data security and privacy; The kanban module 3 uses a large screen display to display production data in real time, such as production progress, equipment status, etc. The module contains an alarm module 31. When the production data exceeds the preset range or an abnormality occurs, the alarm module 31 will send an alarm signal to remind the production staff to deal with it in time; The injection molding machine work tablet 2 and mobile terminal 4 can support multiple operating systems and platforms, including but not limited to iOS, Android and Windows. These devices access the production data on the IIS server 8 through the Internet of Things module 5 to achieve remote monitoring and management. Users can view production data, send instructions, adjust production parameters, etc. on these devices.

[0027] Compared with the existing technology, this system has the following advantages: 1. Real-time: The system can collect and transmit production data in real time to realize real-time monitoring and management of the production process.

[0028] 2. Security: The system adopts data encryption and backup recovery mechanisms to ensure the security and integrity of data.

[0029] 3. Scalability: The system supports multiple operating systems and platforms, making it convenient for users to access and manage production data on different devices.

[0030] 4. Intelligence: The system improves the intelligence level of the production process and reduces production costs and risks through alarm modules and data analysis functions. Example 2

[0031] See also Figure 2 , 3 , a production management and control system based on the Internet of Things, which is composed of key components such as an injection molding machine 1, a sensor network, a mobile terminal 4, and an IIS server 8, and uses the Internet of Things technology to realize data collection, remote control and intelligent analysis to optimize the production process, reduce defective products, and improve overall production efficiency; As the core equipment of the production system, the injection molding machine is equipped with sensors to monitor the production status in real time, including but not limited to key parameters such as temperature, pressure, injection speed, and information on the quantity and quality of the products produced. This information is transmitted to the IIS server 8 via wireless or wired means; The sensor network deployed around the injection molding machine is responsible for collecting various data during the production process to ensure the accuracy and real-time nature of the data. The sensor and the IIS server transmit data via Wi-Fi, Bluetooth or a dedicated communication protocol; When the IIS server 8 determines based on the sensor data that the number of defective products produced by the injection molding machine exceeds the preset threshold, the system will send an alarm to the authorized mobile terminal 4. After confirming the situation, the user can immediately shut down the injection molding machine remotely through the remote shutdown module 41 to prevent the continued production of defective products and facilitate on-site personnel to deal with the problem in a timely manner; To ensure the safety of operation, the mobile terminal 4 has a built-in permission verification module, which requires users who perform remote shutdown operations to enter the correct user name and password, or use biometric technology such as fingerprint and facial recognition for identity verification. Only authorized personnel can perform this operation, effectively preventing misoperation or malicious damage; As the center of data processing and analysis, the IIS server has a built-in AI module that can receive and process data from multiple injection molding machines. The AI ​​module uses machine learning algorithms to automatically identify and analyze the work efficiency, production quality and various process parameters of each injection molding machine. When the AI ​​module recognizes that the process parameter combination of a certain injection molding machine can significantly improve the yield rate, the system will automatically optimize these parameters and synchronize these optimized parameter data to other injection molding machines through the network to achieve intelligent upgrades of the entire production line. This process does not require human intervention, greatly improving production efficiency and product quality consistency.

Claims

1. A production management and control system based on the Internet of Things, characterized in that: The system comprises an injection molding machine (1), an injection molding machine worktable (2), a kanban module (3), a mobile terminal (4), an Internet of Things module (5), an injection molding machine data acquisition server (6), a database server (7) and an IIS server (8), wherein the injection molding machine data acquisition server (6) is used to acquire production data of the injection molding machine (1), the database server (7) is used to store the production data acquired by the injection molding machine data acquisition server (6), and the IIS server (8) is connected to the database server (7) and is used to store the production data on the IIS server (8), and A data access interface is provided, wherein the Internet of Things module (5) is connected to the injection molding machine (1), the injection molding machine work flat panel (2), the kanban module (3), the mobile terminal (4), the injection molding machine data acquisition server (6), and the IIS server (8), and is used to transmit the production data to the injection molding machine work flat panel (2) and the mobile terminal (4) in real time. The kanban module (3) is used to display the production data in real time. The injection molding machine work flat panel (2) and the mobile terminal (4) can access the production data on the IIS server (8) through the Internet of Things module (5), thereby realizing remote monitoring and management.

2. According to claim 1, a production management and control system based on the Internet of Things is characterized in that: The injection molding machine data acquisition server (6) comprises a data preprocessing module, which is used to clean, organize and format the collected production data.

3. The Internet of Things-based production management and control system according to claim 1 is characterized in that: The IIS server (8) includes a data backup and recovery module, which is used to regularly back up the stored production data and restore the data when necessary.

4. The Internet of Things-based production management and control system according to claim 1 is characterized in that: The Internet of Things module (5) comprises a data encryption module, which is used to encrypt data when transmitting production data.

5. The Internet of Things-based production management and control system according to claim 1 is characterized in that: The kanban module (3) comprises an alarm module (31). When production data exceeds a preset range or an abnormality occurs, the alarm module (31) will send out an alarm signal to remind production personnel to handle it in a timely manner.

6. The Internet of Things-based production management and control system according to claim 1 is characterized in that: The injection molding machine work tablet (2) and the mobile terminal (4) can support a variety of operating systems and platforms, including but not limited to iOS, Android and Windows.

7. The Internet of Things-based production management and control system according to claim 1 is characterized in that: The mobile terminal (4) is equipped with a remote shutdown module (41). When the system detects that the number of defective products produced by the injection molding machine (1) exceeds a preset threshold, the user can remotely shut down the injection molding machine (1) through the remote shutdown module (41) in the mobile terminal (4) to reduce losses and handle the problem in a timely manner.

8. The Internet of Things-based production management and control system according to claim 7 is characterized in that: The mobile terminal (4) also has a built-in authority verification module (42) to ensure that only authorized personnel can perform remote shutdown operations, thereby enhancing the security and controllability of the system.

9. The Internet of Things-based production management and control system according to claim 1, characterized in that: The IIS server (8) has an AI module (81) built in, and the IIS server (8) is capable of communicating with a plurality of injection molding machines (1).

10. The Internet of Things-based production management and control system according to claim 9, characterized in that: The IIS server (8) is capable of collecting and analyzing the working efficiency, production quality and parameter data of each injection molding machine (1). When the process parameters of a certain injection molding machine (1) show a high yield rate, the IIS server (8) is capable of automatically optimizing and synchronizing the parameter data to other injection molding machines (1) through the AI ​​module (81).

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