Employees and visitors experience numerous inconveniences, such as navigating various points of entry, finding directions, parking vehicles, and paying bills.

Inconsistent access permissions across different campuses within the same organization result in low access efficiency.

Centralized permissions management, unified employee IDs, AI-driven auto recognition, multi-factor access authorization, and self-service visitor access deliver a seamless, zero-waiting experience.

Visualized vehicle management reduces queuing times. Real-time tracking of vehicle trajectories enables prompt detection and warning of violations.

20% faster employee access, and 80% fewer attendance exceptions

90% more efficient visitor reception and access

20% reduction in security personnel costs

On a typical campus, various types of devices and subsystems of various brands use proprietary protocols, leading to compatibility issues.

Campus patrols are mostly manual, and equipment fault diagnosis depends heavily on original manufacturers, resulting in high routine maintenance costs.

Inadequate asset management, due to the lack of reliable sensing methods, leads to asset loss or inactivity.

500 types of devices and systems across six categories from 147 partners have been pre-integrated, 150+ "thing models" (digital models of physical objects) have been published, and integration standards for campus devices and subsystems have been defined.

100+ fault diagnosis rules for various systems and equipment, including air conditioners, cooling, lighting, water supply and drainage, and air supply and exhaust systems, have been defined. An equipment troubleshooting case library has also been created.

Fault prediction using AI algorithms enables more intelligent facility O&M and inspection, accelerating fault recovery.

End-to-end innovation in campus facility control hardware and application software is also being accelerated.

75% higher efficiency and 65% less expensive system integration

O&M labor costs reduced by more than 30%

70% fault prediction accuracy, over 90% fault diagnosis accuracy, and 60% fewer repeated alarms

Cooling stations and air compressors used on campuses are energy-inefficient, partly due to their low level of intelligence.

Poor collaboration between different energy systems results in wasted energy.

Energy consumption analysis remains predominantly manual. Data aggregation efficiency is low, and data collection by specific time periods and zones is impossible.

AI pushes the accuracy of energy data analysis up to over 95%.

AI enables intelligent collaboration between different energy equipment systems, such as cooling stations and air compressors.

Over 15% more efficient energy usage for cooling stations, made possible with additional technical upgrades

Overall power consumption reduced by 10-20%

Real-time data collection, labor costs reduced by more than 15%

Slow responses to reported incidents and repair requests

A lack of online management, predominantly manual patrols

Inefficient collection and analysis of facility O&M statistics

Unsatisfactory property service experience

Service tickets are promptly allocated to the right personnel or teams. Centralized management and end-to-end tracking ensure prompt handling and closure of service tickets.

Online and on-foot patrols are used together, relieving the pressure of human employees.

A property management app improves overall satisfaction by unifying services online.

Standardized operations, automatic task assignment, real-time task monitoring, real-time statistics collection and analysis

30% higher customer satisfaction, and 90% higher service efficiency