What it does
The shopping mall intelligent unmanned cleaning vehicle is an automated cleaning equipment equipped with various intelligent technologies, specially designed for indoor public places such as shopping malls.
Your inspiration
The creative inspiration mainly comes from the actual pain points of shopping mall cleaning: traditional manual cleaning is inefficient, and it is easy to conflict with customers during peak hours, affecting the shopping experience. At the same time, with the development of artificial intelligence and autonomous driving technology, it has become possible to replace manual labor with automated equipment to complete repetitive work, thus giving birth to the idea of designing an intelligent unmanned cleaning vehicle for shopping malls.
How it works
1. Environmental Perception: Real-time perception of the surrounding environment, including pedestrians, obstacles, ground stains, etc., through equipment such as lidar, cameras, and ultrasonic sensors. 2. Path Planning: Based on the perceived environmental information and the preset cleaning area, automatically plan the optimal cleaning path to ensure no omissions and no repetitions. 3. Autonomous Movement: Relying on the driving wheels and steering system, it moves autonomously according to the planned path. When encountering obstacles, it can decelerate, avoid or re-plan the path in time.
Design process
1. Demand Analysis: Investigate the specific needs of shopping mall cleaning, including cleaning area, ground material, cleaning standards, pedestrian flow, etc., and determine the functional and performance indicators of the cleaning vehicle. 2. Scheme Design: According to the results of demand analysis, design the overall structure, hardware configuration (such as sensors, processors, drive systems, cleaning components, etc.) and software systems (such as perception algorithms, path planning algorithms, control systems, etc.) of the cleaning vehicle. 3. Prototype Production: Produce physical prototypes according to the design scheme, assemble hardware equipment, write and debug software programs. 4. Testing and Optimization: Test the prototype in a simulated shopping mall environment, including performance testing (such as cleaning effect, moving speed, obstacle avoidance ability, etc.) and stability testing. Optimize and improve according to the test results, and iterate repeatedly until the design requirements are met.
How it is different
Strong Targeted: Specially designed for the shopping mall environment, it can better adapt to the complex pedestrian flow and terrain of the shopping mall, such as automatically avoiding pedestrians and flexibly shuttling between shelves.
Future plans
1. Function Upgrade: Further improve the intelligence level of the cleaning vehicle, such as adding the function of identifying different types of stains and adopting targeted cleaning methods to achieve more precise cleaning. 2. Expand Application Scenarios: In addition to shopping malls, expand the application scenarios of the cleaning vehicle to other indoor public places such as supermarkets, airports, railway stations, and office buildings.
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