How can the king kong knight electric ride-on sweeper accurately plan the cleaning path in complex indoor and outdoor environments?
Publish Time: 2025-03-04
The king kong knight electric ride-on sweeper accurately plans the cleaning path in complex indoor and outdoor environments, which is the key to ensure that it can efficiently and comprehensively complete the cleaning task.
1. Environmental perception and modeling
The king kong knight electric ride-on sweeper is usually equipped with a variety of sensors, such as laser sensors, infrared sensors, cameras, etc. These sensors can perceive the surrounding environment in real time, including the location of obstacles, the layout of walls and furniture, etc. Based on these perception data, the sweeper will build an environmental map to provide a basis for subsequent path planning.
2. Path planning algorithm
Traditional path planning algorithm: Dijkstra algorithm: Find the optimal path by calculating the distance of each node. In the discretized cleaning area grid, the sweeper can calculate a path that can effectively cover the entire area according to the algorithm.
A algorithm: Combined with the heuristic function, it can dynamically plan the shortest path during the cleaning process, and fully consider the layout of the room and the distribution of obstacles, thereby improving the efficiency of path planning.
Intelligent path optimization technology: such as genetic algorithms, simulated annealing algorithms, etc. These algorithms find the best path planning scheme by simulating the process of biological evolution and material annealing in nature. These intelligent algorithms can also continuously adjust and optimize path planning according to the environmental information obtained by the sweeper in real time to adapt to different cleaning scenarios.
3. Cleaning mode and strategy
Random cleaning: The sweeper moves in random directions and paths until the entire cleaning area is covered. Although this method is simple, it is inefficient and may cause repeated cleaning and missed cleaning.
Edge cleaning: The sweeper moves along the edge of the cleaning area and cleans as much area as possible by cleaning along the edge. This method can effectively avoid repeated cleaning, but it may not be able to clean up the small garbage in the area.
Planned cleaning: The current more intelligent path planning method. The sweeper uses laser, infrared or visual perception technology to perceive the layout of the cleaning area, and plans the optimal path for cleaning based on the layout information. This method can efficiently cover the entire cleaning area, avoid repeated cleaning and missed cleaning, and can clean up small garbage.
4. Obstacle avoidance strategy
King Kong Knight electric ride-on sweeper needs to avoid collision with obstacles during the cleaning process. Common obstacle avoidance strategies include:
Collision sensor: When the collision sensor of the sweeper detects an obstacle in front, it will immediately stop or change direction to avoid collision.
Infrared sensing: By setting an infrared sensor between the sweeper and the obstacle, when the infrared is blocked by the obstacle, the sweeper will respond in time to avoid collision.
Camera sensing: The camera can monitor the surrounding environment in real time, judge obstacles through image recognition and deep learning algorithms, and take obstacle avoidance measures in time.
In summary, King Kong Knight electric ride-on sweeper needs to rely on advanced environmental perception and modeling technology, efficient path planning algorithm, reasonable cleaning mode and strategy, and reliable obstacle avoidance strategy to accurately plan the cleaning path in complex indoor and outdoor environments. The comprehensive application of these technologies enables the sweeper to complete cleaning tasks efficiently and comprehensively in various complex environments.
