In the field of modern cleaning, the intelligent cleaning path planning technology of Floor Vacuum Cleaner is undoubtedly a key innovation.
Intelligent cleaning path planning first relies on an accurate environmental perception module. Through a variety of sensors such as lidar and cameras, cleaning equipment can obtain detailed information about the cleaning area in real time, including the location of obstacles, changes in ground materials, and the distribution of cleaning needs. These sensors are like the "eyes" and "ears" of the equipment, providing an accurate data basis for subsequent path planning.
The data processing module is the "brain" of the cleaning equipment. It receives data from the environmental perception module and uses artificial intelligence technologies such as deep learning and image recognition for analysis and processing. For example, by identifying the images taken by the camera, the degree of dirtiness in different areas can be determined; the three-dimensional model of the environment can be constructed using the data of the lidar to accurately determine the shape and position of obstacles. After processing, key information is extracted to provide strong support for the path planning module.
The path planning module plans the optimal cleaning path based on the data provided by the data processing module, combined with preset cleaning strategies and rules. Common methods include graph theory algorithms and optimization algorithms. The graph theory algorithm can abstract the cleaning area into a graph structure, where nodes represent different locations and edges represent accessible paths. The search algorithm finds the shortest path that traverses all nodes. The optimization algorithm will comprehensively consider factors such as cleaning efficiency and energy consumption, continuously optimize the path, reduce unnecessary duplication and omissions, and ensure that comprehensive cleaning is completed in the shortest time.
The path execution module is responsible for converting the planned path into actual actions. Through technologies such as motor drive and servo control, the direction and speed of the cleaning equipment are precisely controlled so that it can move accurately according to the planned path, while ensuring that it can be adjusted in time when encountering emergencies, such as avoiding temporary obstacles or replanning the path to bypass cleaning blind spots.