Intelligent Brain

Maoding is dedicated to creating an enterprise-level intelligent brain. By integrating advanced technologies such as cloud computing, big data, and artificial intelligence, it builds an intelligent hub for production lines, achieving an upgrade from automation to cognitive manufacturing.

Intelligent brain

This system significantly enhances production efficiency and product quality through functions such as AI-enabled industrial robots, dynamic scheduling, AI visual quality inspection, and predictive maintenance. At the same time, it integrates full-process data by relying on large manufacturing models to drive precise prediction and scientific decision-making. It adopts a “lightweight deployment and progressive optimization” strategy, which helps enterprises increase production efficiency by 15% to 30%, improve equipment overall efficiency by 10% to 25%, reduce quality costs by 20% to 40%, cut energy consumption by 8% to 15%, and increase the response speed of operational decisions by more than 50%.

Dynamic scheduling optimization

1.Based on real-time orders, equipment status and material inventory, the optimal production sequence is automatically generated, supporting multi-objective balance (such as delivery time, energy consumption, and line change cost).

2. By simulating and rehearsing the scheduling effect, bottlenecks can be identified in advance and adjusted dynamically.

Abnormal self-healing and predictive maintenance

1.Real-time monitoring of parameters such as equipment vibration and temperature, using machine learning to predict potential faults, and triggering preventive maintenance instructions.

2.In case of sudden anomalies, the backup plan will be automatically switched and the upstream and downstream processes will be linked to minimize downtime losses.

Intelligent regulation of energy consumption

1.Analyze the production cycle and equipment load, dynamically adjust the operation mode of air compressors, air conditioners and other equipment, and reduce ineffective energy consumption.

2. In combination with the peak-valley electricity price strategy, automatically optimize the operation time periods of high-energy-consuming processes.

Human-machine collaborative guidance

1. Real-time push of operation instructions, quality inspection points and safety warnings through the AR interface reduces personnel training costs.

2. Support voice command interaction to achieve a “paperless” production scenario.

Guided by the implementation path, from current situation assessment to continuous iteration, Maodin Intelligent Brain provides manufacturing enterprises with transformation solutions from experience management to data intelligence, comprehensively enhancing core competitiveness and empowering green manufacturing and sustainable development. Join hands with Maodin, create the future with intelligence, and win in the new global manufacturing landscape!

Service Commitment

Pre-sales Service Process

1.Demand research and proposal development. Conduct research to understand the company’s current status and future development strategy, clarify functional planning requirements for the factory, and develop targeted factory layout planning solutions.

2.Business negotiation and contract signing. Budget quotation + business negotiation confirmation; contract terms drafting + contract communication and signing.

3.Planning and project monitoring. Submit implementation results in stages: new plant planning functional division, large logistics flow design, production mode optimization, capacity design, warehouse configuration planning, etc. Conduct confirmation of planning results.

4.Implementation guidance and continuous follow-up. Provide guidance for the implementation of planning solutions and follow-up services.

01-Project Initiation

Project Scope

Project Organizational Structure

Project Technology

02-Requirements phase

Define user requirements

URS/RTM/RAM

Project plan

Validation plan

Deliverables list

03-Design phase

DS(IDS/HDS/FDS)

Test plan and procedure

04-Implementation phase

Development environment
Test environment
Production environment
Implementation records
Issue tracking
Change and deviation handling
Internal testing

C&Q

05-Acceptance Phase

Operating Environment

System Import

User Training

Test Records

FAT(IQ)

SAT(OQ)

06-System Go-Live

Sign Off

System Handover

Document Delivery

Maintenance and Technical Support

Project Quality Assurance

Project Quality Control
Project Team Consultant Expertise Guarantee

After-sales Service Guarantee

Turnkey Project
24/7 After-sales Service
Additional Services