Development of Artificial Intelligence Technology in Hong Kong
research institute

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.

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.

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

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.