With the development of China's macro policies and industry trends in smart cities, and driven by technologies such as cloud computing, the Internet of Things, and artificial intelligence, the construction of smart parks is becoming more aligned with the requirements of practical strategic development and refined management. They are shifting from traditional management models based on fees such as management fees, parking fees, and per capita fees to smart property management that incorporates robots , intelligent systems, and platforms. This multi-dimensional approach, combining scenario-based and intelligent technologies, is improving the development of smart parks. By building integrated IT architectures and introducing intelligent methods, they are expanding into broader market spaces and moving towards management goals that enhance their competitiveness and overall performance.
In the application of robot-centric AI solutions in smart parks, we primarily focus on job requirements. Addressing pain points in real-world industry management, such as soaring labor costs, high staff turnover in park management, the need for management innovation and development, the shift towards high-end modern service industries, and the urgent need to liberate repetitive and mechanical labor positions to free up more resources for humanized property services, we analyze and break down job responsibilities, work requirements, and tasks. We then use robots to complete repetitive, high-frequency, labor-intensive, and high-risk tasks, integrating robots and staff into the same roles and scheduling. This innovative "human-machine collaboration" model, where robots assist or partially replace human workers, reduces and releases some of the workload of staff, thereby partially liberating the workforce.
Park Management Position Requirements Analysis
Currently, our "human-machine collaboration" intelligent robot application solution is mainly concentrated in three areas of park management: security management, property services, and fire emergency response. It addresses the shortcomings of current park management, such as the aging and high turnover of human security personnel, management difficulties, and high labor costs, as well as the lack of pre-emptive warning capabilities, post-event alarms, passive monitoring, independent subsystems lacking coordination, and insufficient intelligent analysis capabilities. By integrating AI technologies such as robots, facial recognition, license plate recognition, and object detection with security technologies in key positions such as gatekeepers, visitor management, vehicle management, inventory management, environmental monitoring, security patrols, and perimeter patrols, it achieves seamless visitor access and information registration, intelligent identification and alarms for restricted personnel, intelligent vehicle identification and seamless payment closed-loop management, automatic patrols and mobile video surveillance, and automatic alarms for other abnormal situations. This intelligent approach improves management capabilities and efficiency, ultimately achieving the management goal of cost reduction and efficiency improvement.
In terms of security applications, we consider the following three aspects: First, robots + personnel, enabling them to work in the same position, be uniformly dispatched, and complement each other. The main application is to use individual robots to assist personnel in their work, thereby improving the skill level of security personnel. Second, robots + intelligent security systems, enabling system integration, intelligent linkage, and unified command. The integration and linkage between robots and traditional security systems, combining static and dynamic approaches, allows for collaborative management within the security business framework, improving the level of intelligence in security applications. Third, robots + smart operations, enabling data analysis, business collaboration, and unified operations. The information interconnection between robots and the park's business operation platform achieves unified and comprehensive operations, creating a new type of smart security application system with full coverage and no blind spots, providing comprehensive intelligent services for the park.
Human-machine collaboration intelligent security application scenario—patrol and inspection
Security Activity Application Cases
The application of intelligent robots in the field of property management services has many more scenarios and positions to consider, such as sweeping, cleaning, and environmental monitoring in environmental cleaning; equipment monitoring and inspection in equipment and facility operation and maintenance; visitor management, front desk greeting, VIP guidance, and consultation in personnel management; and value-added services such as item delivery, secretarial assistance, and mobile advertising. By adopting key technologies such as artificial intelligence (AI), robotics, and the Internet of Things (IoT), a new type of property application system based on smart cloud operation and management can be built, which is customizable, integrable, visualized, and provides all-weather, three-dimensional patrol and inspection capabilities. This system will reshape the property brand through technological means, helping to reduce costs and increase efficiency. It will empower property managers by providing an efficient one-stop property operation and management model for daily operations such as property security, cleaning, operation and maintenance, traditional customer service, and special value-added services, allowing owners, businesses, merchants, and consumers to enjoy fast, convenient, warm, and comfortable personalized services.
"Human-Machine Collaboration" Smart Property Application Scenario - Visitor Management
Community Property Service Application Cases
The application of intelligent robots in the park's fire safety management focuses on three key aspects: First, human safety, as fire scenes are complex and require firefighters to be physically present, where unknown risks often lead to casualties. Second, equipment management, with numerous, widely distributed devices and unclear status, makes monitoring fire control equipment difficult. Third, information management, characterized by inadequate data collection, untimely feedback, missed or delayed fire reports, and failure to promptly restore malfunctioning alarm equipment, making it impossible to diagnose or predict equipment failures. Therefore, we have developed an information-based and intelligent remote fire monitoring system combining IoT and AI technologies. This system enables platform-based and intelligent management of firefighters, reconnaissance robots, firefighting robots, rescue robots, and numerous fire hydrants, smoke detectors, and networked alarm devices.
Overall, AI-driven intelligent robots will play a role in various aspects and specific positions of park management. They possess comprehensive perception, global decision-making, and real-time control capabilities. By intelligently adjusting various terminals, the waiting time for handling anomalies and emergencies can be significantly shortened. Furthermore, through human-machine collaboration and automated patrols, they achieve pre-event warnings, in-event handling, and post-event traceability. In smart park application scenarios, it involves comprehensive collaboration among people, vehicles, objects, equipment, facilities, environment, and events, incorporating more situations into this system to provide a comprehensive solution and achieve intelligent park management by maximizing overall benefits.
A panoramic view of the application of robots in smart parks
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