AIMS-MOS

AIMS-MOS Industrial Internet Platform

Software defined logistics, data-driven manufacturing

Based on long-term industrial practice and accumulation of industry experience, AIMS has built the AIMS-MOS industrial internet platform, which aims to address core challenges such as heterogeneous equipment, fragmented systems, reliance on manual scheduling, and rapid business changes in complex manufacturing scenarios. It builds an industrial intelligent foundation featuring unified scheduling, rapid configuration, and continuous optimization.

AIMS-MOS is not merely a platform; it is also the core infrastructure that supports the coordinated operation of intelligent internal logistics, manufacturing operations, process and energy consumption optimization. By uniformly connecting devices, data and business processes, it enables the continuous evolution from "device automation" to "system intelligence", helping enterprises build a more flexible, more efficient and more sustainable optimized intelligent manufacturing system.

Platform Architecture
core competency
Application Scenarios
customer value
Authoritative recognition

Platform Architecture
core competency
Application Scenarios
customer value
Authoritative recognition

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A unified base for connecting devices to intelligent decision-making

AIMS-MOS adopts a unified platform architecture to connect the device layer, data layer, business layer and application layer, achieving full-chain collaboration from the bottom-level automation to the top-level intelligent decision-making.

Four core competencies

AIMS-MOS builds four core capabilities around delivery efficiency, system stability, and continuous optimization capabilities in complex industrial scenarios, supporting rapid replication and long-term evolution across multiple industries and scenarios

Unified scheduling of heterogeneous devices

Devices of different brands and types can achieve "plug-and-play" functionality, enabling quick connection and shortening the implementation period while enhancing operational reliability.
Graphical rapid configuration

Encapsulate common scenarios and business modules, build the system quickly like building blocks, drag and drop configuration process, when the customer's business changes, business adjustment does not need a lot of code development, flexible adaptation, do not have to be turned over again.
Digital twin simulation debugging

Complete debugging in the virtual environment before going online, and basically achieve "zero debugging" and "put into production immediately after going online" when arriving at the customer's site.
Self-optimization of the algorithm model

Based on real-time operation data for continuous learning and self-iteration, it can be understood that the system will become increasingly intelligent with use, and the scheduling strategy will be dynamically optimized.

From platform capability to business value implementation

Relying on the AIMS-MOS industrial Internet platform, the University of Science and Technology Zhilian realizes the full scene collaboration from logistics, production to process optimization, and supports enterprises to build an end-to-end intelligent manufacturing system

Intelligent Intralogistics
Manufacturing and Operations
Process Optimization

Covering warehouse logistics, shop floor logistics and plant logistics, achieving automated circulation and global collaborative scheduling of raw materials, work in progress, and finished products

AIMS creates a closed-loop production management system that integrates planning, execution, and digital foundation, enabling end-to-end collaboration from order to delivery.

Based on AI-driven real-time modeling and parameter optimization, the stable control of key process parameters and the continuous reduction of unit energy consumption are achieved.

Intelligent Intralogistics

Covering warehouse logistics, shop floor logistics and plant logistics, achieving automated circulation and global collaborative scheduling of raw materials, work in progress, and finished products

Manufacturing and Operations

AIMS creates a closed-loop production management system that integrates planning, execution, and digital foundation, enabling end-to-end collaboration from order to delivery.

Process Optimization

Based on AI-driven real-time modeling and parameter optimization, the stable control of key process parameters and the continuous reduction of unit energy consumption are achieved.

Why choose AIMS-MOS

AIMS-MOS not only solves the problem of system construction, but also focuses on improving efficiency and continuous optimization capabilities in the long-term operation of enterprises, making intelligent manufacturing a truly sustainable business capability.

Quickly go online

The standardized platform capability and digital twin debugging significantly shorten the project implementation cycle, achieving rapid delivery and stable production.

Lower renovation costs

Modular reuse and graphical configuration reduce redundant development, eliminating the need to start over from scratch for business changes and lowering long-term system upgrade costs.

Flexible and efficient

In the face of changes in orders, fluctuations in production capacity, and business expansion, the system can quickly respond and dynamically adjust to support the construction of flexible manufacturing capabilities.

More sustainable intelligent optimization

Relying on real-time data and the self-learning ability of algorithms, the system's performance continues to improve, achieving long-term value growth through continuous optimization with usage

The ability that has been verified is the true ability

AIMS-MOS has been widely used in various industries such as printing and packaging, metallurgical casting, power equipment, and chemical fiber textiles, supporting numerous leading manufacturing enterprises to achieve intelligent upgrades and form replicable and sustainable industry solution capabilities

national-level

Ministry of Industry and Information Technology

Featured professional industrial Internet platform
Ministry of Industry and Information Technology

Industrial Internet pilot demonstration - flexible manufacturing platform
Ministry of Industry and Information Technology

Excellent solution of industrial Internet APP

provincial

Anhui Province

Key industrial Internet platforms
Anhui Province

Industrial Internet platform with industry characteristics

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Technologies

A unified base for connecting devices to intelligent decision-making

Four core competencies

Unified scheduling of heterogeneous devices

Graphical rapid configuration

Digital twin simulation debugging

Self-optimization of the algorithm model