Fujian Mobile Smart Toilet Architecture
The Fujian Mobile Smart Toilet Architecture is centered around a four-layer logic of 'Perception Layer - Transmission Layer - Platform Layer - Application Layer', achieving full-process digital management through technologies such as the Internet of Things (IoT), big data, and cloud computing.
The Perception Layer serves as the foundation of the architecture, responsible for data collection. By deploying a multi-dimensional sensing network, it accurately identifies the operational status of public toilets. For example, laser toilet stall occupancy sensors utilize Time-of-Flight (ToF) technology to achieve high-precision detection of stall occupancy, avoiding misjudgments; five-in-one environmental monitors simultaneously collect indicators such as temperature, humidity, PM2.5, TVOC, ammonia, and hydrogen sulfide to comprehensively assess environmental quality; and binocular pedestrian flow monitors accurately count the number of people entering and exiting based on binocular stereo vision technology, providing data support for subsequent analysis. These sensors collectively construct a 'digital perception network' for public toilets, ensuring comprehensive and accurate data.
The Transmission Layer acts as a bridge for data flow, responsible for the interactive sharing of data collected by the Perception Layer. Inside smart public toilets, communication between devices is achieved through a local area network (LAN), while external remote transmission relies on operator networks (such as 4G/5G). In remote scenic areas or regions with insufficient network coverage, 4G networking hosts can be used to solve network issues, ensuring real-time data upload to the Platform Layer. The technological choices at this layer balance stability and flexibility to adapt to different scenarios.
The Platform Layer is the core of the architecture, undertaking data processing and intelligent analysis tasks. By integrating public toilet data across regions and industries through cloud computing technology, it performs real-time processing and in-depth mining. The cloud management platform can display the operational status of multiple public toilets in real-time, supporting administrators in remote monitoring and control via PC or mobile terminals. For example, the system can predict peak usage times to optimize cleaning staff scheduling; by analyzing historical data on equipment failures, it can provide early warnings for maintenance needs, reducing operational and maintenance costs.
The Application Layer is the output end of the architecture, transforming data processing results into intuitive services. For users, through interactive interfaces such as smart public toilet comprehensive displays, touch-screen evaluation devices, and toilet-finding mini-programs, it provides real-time information on stall status and environmental indicators, enhancing the restroom experience. For managers, it offers functions such as operational data statistics (e.g., revenue, pedestrian flow) and fault reporting to support intelligent decision-making. This layer is directly related to user experience and management efficiency, representing the ultimate value of the architecture.
Through the collaboration of these four layers, the architecture achieves closed-loop management of public toilets from data collection to intelligent applications, significantly improving management efficiency and user experience.
