Project Background

To comprehensively improve equipment utilization and production management at a Hangzhou client’s workshop, the existing production equipment requires intelligent upgrades and data integration. The objectives of this project are:

• Enhance equipment utilization: Reduce idle and waiting time through real-time collection of equipment operational status.

• Accurately analyze bottlenecks: Identify constraints in CNC machine operations based on collected data to optimize production cycles.

• Scientifically quantify machining parameters: Record and analyze core parameters such as feed rate, spindle speed, power, and ratio in real time.

• Monitor equipment health in real time: Provide early warnings for abnormal conditions to ensure safe and stable production.

The devices included in the data integration scope are:

• CNC machines

• Welding equipment

• Polishing equipment

• Other critical production equipment
  Total: 20 units

Overall Integration Solution

Implementing Party: Anhui Xinyida Polishing Machinery Co., Ltd. (Project Lead)

Technical Approach:

1. Edge Computing Gateway Deployment

   • Install edge computing gateways on-site to integrate data from multi-protocol, multi-brand equipment and standardize the data.

2. Network Communication Module Configuration

   • Use wired/wireless network modules to ensure stable communication between equipment and the data gateway.

3. Data Encryption and API Integration

   • Use the API Library to encrypt and package collected operational data, ensuring security and integrity during transmission.

4. MQTT IoT Server Integration

   • Transmit encrypted data to the MQTT IoT server, achieving efficient, low-latency data transmission.

5. AI Large-Model Analysis and MES System Integration

   • The AI model analyzes the aggregated data, generates visual reports and optimization suggestions.

   • Both analysis results and raw data are synchronized to the MES system (Manufacturing Execution System) for production planning, process optimization, and maintenance decision-making.

Note:
The MES system (Manufacturing Execution System) is a production information management system for the shop floor, enabling production scheduling, quality traceability, process management, and equipment status monitoring.