AI Application Laboratory

The 'translator' and 'connector' between industrial demand and cutting-edge technology

The Industrial AI Application Laboratory is a core research unit under the research institute, serving as an executing entity responsible for scenario research, prototype development, pilot verification, and solution iteration, Focus on the implementation of enterprise business and output commercially viable industrial AI solutions. The laboratory does not engage in pure technical research and development. Its core mission is to: Using AI to solve real industrial problems and create quantifiable economic and social value.

AI+robotics<br>Digitalization of Packaging
DIRECTION 01

AI+robotics
Digitalization of Packaging

Targeting the food, beverage, and packaging machinery industries, we will integrate robot technology with AI vision and intelligent scheduling to achieve production line flexibility and digital upgrading of packaging processes.

AI+Compliance operation in the pharmaceutical industry<br>Digital transformation
DIRECTION 02

AI+Compliance operation in the pharmaceutical industry
Digital transformation

In response to the strong regulatory characteristics of the pharmaceutical industry, we will build compliant intelligent agents and digital management systems to assist pharmaceutical companies in achieving intelligent upgrades under the premise of safety and compliance.

AI+Green and low-carbon new materials<br>Smart Buildings
DIRECTION 03

AI+Green and low-carbon new materials
Smart Buildings

Focusing on the "dual carbon" goal, AI driven research and development of green and low-carbon materials, as well as intelligent operation and maintenance of buildings, make sustainable development a quantifiable technical indicator.

Industrial Internet cloud edge collaborative intelligent quality inspection system
DIRECTION 04

Industrial Internet cloud edge collaborative intelligent quality inspection system

Targeting appearance defects of components PCB、 In scenarios such as surface quality inspection of industrial products, a cloud edge collaborative architecture is adopted, which includes end-to-end collection, real-time edge inference, and cloud based training iteration, to achieve the integration of quality inspection business and security system construction.

Understand the industryThe team has both practical business experience and the ability to integrate AI technology
Can landScene research → Prototype development → Pilot verification → Scheme iteration
QuantifiableEnsure that each achievement serves the enterprise's cost reduction, efficiency improvement, and sustainable development

Industry-Enterprise Cooperation

Enterprise problem solving, research institute problem-solving, scenario verification, and achievement sharing

Currently, artificial intelligence technology is accelerating its penetration into industries, but there is still a "last mile" gap between technology and real business scenarios. Traditional enterprises generally face challenges in intelligent upgrading Difficult equipment collaboration, difficult data integration, slow exception handling, and uncertain return on investmentWaiting for real challenges. The Hong Kong Artificial Intelligence Technology Development Research Institute (HK-AITRI) relies on the Industrial AI Application Laboratory to cooperate with enterprises in a project-based manner, focusing on the real business pain points of enterprises and using AI intelligent agent technology to solve practical problems.

01

Technical Consulting

Provide AI application scenario diagnosis and technical roadmap recommendations for enterprises.

Application: Preliminary exploration of AI application directions
02

Project co construction

Both parties jointly initiate the project, invest resources together, and share the results.

Applicable: with clear scenarios and landing requirements
03

Pilot verification

Pilot AI solutions in real enterprise scenarios, validate their effectiveness, and promote them.

Applicable: Low risk verification effect is desired
04

Joint Laboratory

Establishing joint laboratories with enterprises for long-term and in-depth cooperation.

Applicable: Long term strategic cooperation
Collaboration between Institutions and Enterprises · Example

Passive temperature control and intelligent monitoring scheme for elevator machine room

As the domestic property industry shifts from incremental development to stock operation, the "dual carbon" policy and ESG concept are forcing the restructuring of the industry's value chain. The elevator machine room, as a "double high" pain point area for building energy consumption and safety, has long faced challenges such as high summer temperatures, huge air conditioning energy consumption, and rapid equipment aging. Recently, Zhileng has partnered with the Hong Kong Artificial Intelligence Technology Development Research Institute (HK-AITRI) to launch a passive low-carbon temperature control and intelligent monitoring solution for elevator machine rooms, relying on the institute's industrial AI application laboratory. Through the three-dimensional empowerment of "materials+engineering+AI", it provides a quantifiable and replicable model for the green transformation of the property industry.

Material scheme · Intelligent cooling · Precise selection（SmartCool）

The dedicated refrigeration coating for the equipment room adopts passive radiation refrigeration technology, which only needs to be coated on the surface of the equipment room, without the need for power supply and refrigerant, to achieve up to 95% of sunlight reflection and mid infrared thermal radiation, suppressing heat absorption from the source and actively dissipating heat. This scheme operates with zero energy consumption, significantly reducing equipment temperature, extending lifespan, and decreasing energy costs, providing a green and safe temperature control option for equipment rooms.

AI Empowerment · Real time Monitoring of Computer Room Temperature by Intelligent Agent

Based on the material scheme, the Industrial AI Application Laboratory of the research institute has developed an intelligent agent solution for real-time monitoring of computer room temperature for this project, which can serve multiple parties such as property management and equipment manufacturers.


Collaboration between Institutions and Enterprises · Example

Flexible Packaging AI Digital Worker Solution

This project provides a flexible packaging solution centered around AI digital workers to address the pain points of difficult recruitment and slow production changes in the food, daily chemical, and pharmaceutical industries.

Relying on the HK-AITRI production and research platform:
Through the "hand eye brain" system (6-axis force control execution+3D adaptive vision+AI teaching "once you see it"), flexible operations such as irregular box packing, mixed line unpacking and palletizing, scattered incoming material feeding, packaging quality inspection, etc. are achieved, and replicable industry process packages are accumulated to achieve hourly production changes.

Fuling Automation, as an intelligent packaging integrator, is responsible for production line integration, MES/digital twin platform docking, and demonstration line construction. Both parties will collaborate on a project to jointly build a comprehensive solution of "digital scheduling+flexible execution", promoting its demonstration and implementation on real customer production lines.

Collaboration between Institutions and Enterprises · Example

Foreign Trade Intelligent Agent Empowerment Project

This project is aimed at the domestic and foreign trade industries, creating customized solutions for foreign trade intelligent agent projects, integrating the research capabilities of industry, academia, and research with mature commercial AI product capabilities to empower industrial upgrading. Based on the advantages of cutting-edge AI intelligent agent research and industrial scenario research, combined with self-developed MatchGP and TradeGPT big model technology bases, we have built a full process intelligent agent system for foreign trade B2B, covering the automation of customer development, inquiry follow-up, and order conversion, accurately solving industry pain points such as customer acquisition difficulties, low operational efficiency, and high comprehensive costs for foreign trade enterprises.

The project continues to deepen the knowledge base of vertical industries, iteratively optimize AI intelligent agent technology, precipitate standardized industry landing templates and methodologies, and can carry out customized adaptation according to the business characteristics of manufacturing enterprises in different fields. It leverages the advantages of cross-border scientific and technological innovation resource links, helps domestic and foreign trade enterprises complete digital and intelligent transformation at low cost, and significantly improves the efficiency of foreign trade operations.

Let Chinese manufacturing go global more efficiently

Collaboration between Institutions and Enterprises · Example

AI application for predictive maintenance of robot lubrication

Industrial robots are widely used in automobiles, new energy, 3C electronics, and metal processing, but the working conditions vary greatly, directly affecting the lubrication of each axis position; Poor lubrication can exacerbate wear, energy consumption, and downtime maintenance costs. Traditional periodic oil changes based on time are difficult to match with differences in scenarios and axis positions, and require differentiated maintenance based on scenarios, axis positions, and oil conditions. HKAITRI collaborates with Ruiyan to explore the application of AI in the subdivision of operation and maintenance for large-scale enterprise robot lubrication and maintenance. HKAITRI focuses on industrial intelligence, oil big data, and predictive maintenance, while Ruiyan provides working condition data and on-site application support.

Platform integration: Four types of capabilities are integrated into the health management platform
The project integrates oil detection, model prediction, rule verification, re inspection reminder, and maintenance scheduling into the health management platform: oil detection provides data entry, model prediction provides risk judgment, rule verification guards business boundaries, re inspection reminder triggers confirmation actions, maintenance scheduling implementation and execution arrangements, together forming a closed loop

Based on the project cooperation of Ruiyan Robotics Technology Company, the two parties collaborate around the closed-loop of "input data feature labels model interpretation decision" based on real working condition data, and apply AI to the segmented industry chain of industrial robot lubrication and maintenance, promoting the transformation of oil detection data into interpretable maintenance decisions.