Human-Machine Collaborative System is an execution control system for manual workstations on the final assembly line in the equipment industry - Gechuang Dongzhi - Copy

Pain Points

1. Line Balance

Processes constantly change and upgrade, production is small batch multi-variety, balance rate low.

2. Personnel Management

Production personnel require high skills, training time long.

3. Quality Management

Product quality unstable, capacity ramp-up difficult.

4. Model Limitations

Traditional electrical automation suitable for stable process mass production, cannot meet current needs.

User Value

Individual Operator Digital Capability Enhancement

Connect process-training-production execution-full process traceability, combine with smart equipment, greatly improve on-site perception ability, enhance individual operator's intelligent operation capability

Whole Line Digital Capability Enhancement

Can expand to build overall smart production line, pull through entire process from design end-manufacturing end-maintenance end, improve overall intelligent operation capability

Lean Digital Capability Enhancement

This product is a lean digital system built with lean production concept, use lean concepts to analyze full process data under this system, achieve digital capability for lean iterative improvement

Core Advantages

Flexible and Configurable
Digital process not only ensures consistency between design process indicators and actual production indicators, but also enables system to be flexibly configured and adjusted according to customer needs, meet requirements of different products and production lines
High Integration
Support mainstream electric guns such as Esdick, Atlas, Matou, and torque wrenches like Kata
Strong Expandability
Support functional modules like collaborative AI vision, laser indicators, ultrasonic positioning, achieve intelligent step guidance and process compliance
Wide Range of Scenarios
Fully verified in industries such as new energy vehicles, rail transit, aerospace, energy equipment, effectively improve production consistency

Application Scenarios

Digital Process

Edit structured process data through no-code method, compensate for collaborative limitations of traditional work instructions

Line-side Execution

System intelligently links production line equipment and automatic torque guns for operation verification and control, achieve material scanning and error-proofing

Positioning and Guidance

Use ultrasonic, laser, AI vision, etc. for high-precision operation positioning, guidance, and error correction

Full Process Traceability

Automatically collect production site feedback data, record key operation information, form complete full-process traceability reports

Cases

Learn more cases >

Human-Machine Collaborative System empowers new energy vehicle enterprises in operation management

1. Avoid quality fluctuations from manual operations, product quality consistency improved by 5%
2. Digital process management ensures accurate consistency between design process indicators and actual production indicators
3. Fully leverage the flexibility of personnel and consistency of equipment, reduce reliance on operator skills

Human-Machine Collaborative System helps a certain energy storage enterprise strengthen production management

1. Production line balance rate improved by 10%
2. Employee training time reduced by 300%.
3. Reduce the uncertainty of production cycle time

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