1. Solution Overview
Beijing Changwei Tongda has developed a comprehensive IoT gateway and cloud platform system to meet the needs of discrete manufacturing for data integration, remote monitoring, equipment management, and decision support.
The IoT gateway connects on-site equipment with the cloud platform, enabling centralized data storage, processing, and analysis, providing enterprises with intelligent production management solutions.
2. Technical Introduction
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IoT Gateway
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Hardware: Industrial-grade high-performance embedded processors with rich interfaces and communication protocol support.
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Operating System: Uses FreeRTOS, Linux, etc., to ensure system stability and security.
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Communication Protocol: Supports lightweight protocols such as MQTT, TCP, and industrial communication protocols like Modbus.
Cloud Platform
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Supports offline deployment: Users can freely choose cloud service providers such as Huawei Cloud, Alibaba Cloud, Tencent Cloud, etc.
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Database: Uses MySQL to meet big data storage and access needs.
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Management Interface: Available on desktop web and mobile WeChat mini-program.
3. Architecture Introduction
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IoT Gateway Architecture
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Data Acquisition Layer: Responsible for collecting data from on-site equipment, supporting multiple communication protocols.
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Data Processing Layer: Cleans, transforms, and packages collected data to fit the cloud platform’s data interface.
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Data Transmission Layer: Locally stores processed data and transmits it to the cloud platform.
Cloud Platform Architecture
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Data Access Layer: Receives data from the IoT gateway and performs initial processing and storage.
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Data Storage Layer: Uses distributed databases to store large amounts of data and provides efficient data access interfaces.
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Application Service Layer: Provides application services such as data visualization, remote monitoring, and equipment management.
4. Function Introduction
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IoT Gateway Functions
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Device Connection Management: Automatically connects and configures with on-site equipment.
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Data Acquisition and Conversion: Real-time data collection and format conversion based on device types and communication protocols.
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Data Transmission: Locally stores collected data and transmits it to the cloud platform.
Cloud Platform Functions
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Data Storage and Management: Provides mass data storage and query functions.
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Data Analysis and Visualization: Stores and analyzes data, presenting results in charts, reports, etc.
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Remote Monitoring and Alerts: Real-time monitoring of on-site equipment and alert notifications, improving maintenance timeliness and accuracy.
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Device Management and Optimization: Provides device status monitoring, fault diagnosis, etc., helping enterprises optimize device management and reduce operating costs.
5. Solution Advantages
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Reliable and Feasible:
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The selected technologies are mature and widely used, meeting the vast majority of user needs.
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By reducing operating costs and improving production efficiency, enterprises can achieve good economic benefits.
Practical and Efficient:
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This solution is designed based on the actual needs of discrete manufacturing, addressing issues encountered in production management.
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Through data visualization, remote monitoring, and other functions, enterprises can grasp production conditions in real-time, improving management efficiency.
6. Delivery Method
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Project Implementation Phase
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Requirement Research and Solution Formulation: In-depth communication with enterprises to clarify needs and develop a detailed solution.
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On-site Deployment and Debugging: Deploying the IoT gateway on-site and connecting and debugging with the cloud platform.
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Training and Delivery: Training enterprise personnel to ensure they can use the system proficiently, and formally delivering it for use.
System Operation and Maintenance Plan
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Regular Inspection and Maintenance: Regular inspection and maintenance of the IoT gateway and cloud platform to ensure stable system operation.
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Data Backup and Recovery: Regular data backups and formulating data recovery plans to prevent data loss.
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System Upgrades and Optimization: Upgrading and optimizing the system based on enterprise needs and technological developments, maintaining system advancement and practicality.
7. Conclusion
This solution constructs an IoT gateway and cloud platform system, providing intelligent production management solutions for discrete manufacturing. By implementing this solution, user enterprises can improve production efficiency, reduce operating costs, optimize decision support, and achieve digital transformation and intelligent upgrades.