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Shanghai Mobile Smart Toilet Architecture

Admin 09 de octubre de 2026

The architecture of Shanghai Mobile Smart Toilet is mainly divided into three layers: the perception layer, the transmission layer, and the application layer.

The perception layer serves as the data acquisition foundation for smart toilets, enabling real-time acquisition of environmental and status information through various high-precision sensors. This layer deploys equipment such as millimeter-wave radar, laser sensors, and environmental monitors to collect core data including temperature and humidity, air quality (e.g., ammonia and hydrogen sulfide concentrations), toilet stall occupancy status, and water and electricity consumption. Among them, laser detection technology accurately identifies whether a toilet stall is occupied by emitting laser beams and analyzing the reflected signals, achieving an accuracy rate of up to 99.9% and effectively avoiding misjudgments. Environmental monitors continuously monitor the concentration of odor molecules in the air through electrochemical or optical sensors, providing a basis for subsequent regulation. Additionally, energy consumption monitoring devices such as water and electricity meters record water and electricity usage, assisting in the analysis of resource utilization efficiency.

The transmission layer is responsible for efficiently and stably transmitting the raw data collected by the perception layer to a cloud-based management platform. This layer adopts low-power wide-area network communication protocols such as NB-IoT (Narrowband Internet of Things) or LoRa (Long Range Radio), which are characterized by wide coverage, low power consumption, and low cost, making them suitable for scenarios with dispersed toilet deployments. For example, NB-IoT can penetrate complex environments such as underground or walls to ensure reliable data transmission, while LoRa extends transmission distances through self-organizing networks, reducing the need for relay devices. After the data is encrypted and transmitted to the cloud, it provides foundational support for the realization of functions in the application layer.

The application layer is the core functional realization layer of smart toilets, providing intelligent services such as environmental regulation, resource optimization, safety warnings, and user guidance based on cloud-based data analysis and algorithm models. For example, the environmental regulation system analyzes air quality data and automatically activates the ventilation system and sprays deodorizers when the concentration of odor molecules exceeds standards. In terms of resource optimization, toilet paper dispensers equipped with facial recognition technology, combined with AI consumable prediction models, predict toilet paper consumption based on historical usage data and current foot traffic, dynamically adjusting replenishment strategies to reduce consumable waste by more than 30%. The safety warning function monitors abnormal data through temperature and humidity sensors, such as triggering an alarm and notifying maintenance personnel when excessive humidity may cause circuit failures. User guidance enhances the user experience by displaying toilet stall availability and queue lengths through electronic screens or mobile apps.