CNC Equipment Data Collection and MES Integration Solution

Xinyida helps Hangzhou customers integrate equipment data — Edge computing and AI large models empower MES systems to achieve digital upgrades in workshops

CNC Equipment Data Collection and MES Integration Solution XYD-MES

  • Introduction

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.


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Contact information

Hotline

+86-17891609225

Work hours

08:00-17:00

Company phone

+86-17891609225

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