Smart Factory System - Cooperate (Wuhan) Digital Intelligent Technology Co.,Ltd

Smart Factory System

Beyond 'machine for human'

Pass full chain data closed loop implementation of transparency, predictability, and automation in production

Real-time Perception

Multidimensional Exercise

High-precision Modeling

Product Blueprint

Product Features

The factory is building a 'digital brain'. It transforms the production process from "experience driven" to "data-driven", achieving a transparent, predictive, and automated production mode

Full process digital monitoring and transparency

Through the industrial Internet of Things platform, real-time collection of all factor data such as equipment, materials, products, and environment is achieved, realizing panoramic visualization of production status, order progress, equipment operation, and energy consumption.

Full process digital monitoring and transparency

Simulation and Optimization Based on Digital Twins

Build a high fidelity virtual model of a physical factory for process simulation, capacity validation, logistics simulation before new product launch, or to achieve virtual real interaction and iterative optimization during operation.

Simulation and Optimization Based on Digital Twins

Flexible automation production and adaptive scheduling

The production line can quickly switch between different models of products ("one click change"), and the MES/APS system dynamically optimizes scheduling based on orders, materials, and equipment status, achieving mixed production of small batches and multiple varieties.

Flexible automation production and adaptive scheduling

Human machine collaboration and AR job support

Collaborative robots safely share workspaces with workers to complete repetitive or high load tasks; Workers obtain assembly guidance, equipment maintenance guidance, and remote expert assistance through AR glasses.

Human machine collaboration and AR job support

Predictive Maintenance and Equipment Health Management

Based on sensor data and AI models, predict the remaining life and failure probability of key components of equipment, transforming "planned maintenance" and "post maintenance" into accurate predictive maintenance.

Predictive Maintenance and Equipment Health Management

Refined management of energy and carbon flow

Real time monitoring of energy consumption and carbon emissions data for the entire factory area, production lines, and even critical equipment, identifying energy-saving spaces through AI algorithms, and achieving optimal energy efficiency scheduling based on production plans.

Refined management of energy and carbon flow

AI based intelligent quality control

Real time online defect detection and classification using machine vision and deep learning; Through SPC statistical process control, process parameter deviation warning is achieved, and quality control is moved from "post inspection" to "process intelligent control".

AI based internal quality control

Data driven autonomous decision-making and continuous optimization

The ERP and MES systems of the factory are connected to the systems of suppliers and customers (such as SRM and CRM) to achieve shared demand forecasting, inventory visibility, collaborative planning, and enhance the overall resilience of the supply chain.

Data driven autonomous decision-making and continuous optimization

Unmanned intelligent warehousing and logistics

Integrate WMS, AGV/AMR, and automated warehousing to achieve automatic warehousing, storage, picking, distribution, and outbound of raw materials, work in progress, and finished products.

Unmanned intelligent warehousing and logistics

Data driven autonomous decision-making and continuous optimization

The system can autonomously generate and execute optimization decisions based on historical and real-time data through AI algorithm models (such as reinforcement learning), such as dynamically adjusting process parameters to achieve the highest yield or balancing efficiency and energy consumption.

Data driven autonomous decision-making and continuous optimization

Smart driven manufacturing innovation reshapes the future

Products

Solution

About

Contact

Contact phone number: 18572661910

Contact email: Jiangkunhk@163.com

Company Address: Room 1706, Building D2, Huazhong Zhigu Phase II, Wuhan Economic Development Zone, Hubei Province