Robotic Lawnmower Scheduling by Lawn Type and Work Area
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Solution Overview
Problem
Existing robotic lawnmower scheduling systems do not account for varying grass types and conditions within a lawn, leading to suboptimal lawn care.
Innovation Solution
A robotic lawnmower system that determines the type of lawn and adjusts its operating schedule based on grass type, including cutting height, frequency, and navigational parameters, to provide tailored care for different areas, using sensors and a server to gather data on environmental factors and lawn quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single uniform schedule is used for the entire lawn, then the scheduling system is simple and easy to operate, but the lawn care quality deteriorates because different grass types and areas receive suboptimal treatment
Solution Approach 1:
The lawn is divided into multiple work areas based on grass type and characteristics. The controller segments the mowing schedule into area-specific segments, allowing each zone to receive customized cutting height, frequency, and time parameters tailored to its specific grass type and conditions.
Solution Approach 2:
Different work areas are assigned different operational parameters based on their local characteristics. Each area receives a customized schedule with specific cutting heights, frequencies, and timing that optimizes care for that particular zone's grass type, soil conditions, and environmental factors rather than applying a uniform approach.
2Manufacturing precision
If the scheduling system is enhanced to account for different lawn types and conditions, then the lawn care quality improves, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The controller is designed as a multi-functional device that performs multiple tasks: it receives and processes data from various sensors (moisture, temperature, light), determines grass type and work area characteristics, generates optimized schedules, and controls mower operations. This universal controller consolidates what could be separate complex systems into a single integrated unit.
Solution Approach 2:
The system automatically determines work area characteristics and grass types using onboard sensors, then self-generates optimized schedules without requiring manual intervention. The controller processes environmental data, identifies lawn conditions, and autonomously creates area-specific mowing schedules, reducing the need for complex external monitoring and manual configuration.
3Manufacturing precision
If area-specific schedules with customized parameters are implemented, then the lawn care effectiveness improves, but the loss of time increases due to more complex navigation and multiple passes
Solution Approach 1:
The mowing parameters including cutting height, speed, and pass patterns are dynamically adjusted based on the specific characteristics of each work area. The controller modifies operational parameters in real-time according to the area's grass type, density, and conditions, optimizing the balance between thoroughness and time efficiency for each zone.
Solution Approach 2:
The system changes multiple operational parameters simultaneously for different work areas: cutting height is adjusted based on grass type, mowing frequency is modified according to growth rates, and navigational parameters such as pass patterns and speed are optimized for each area's specific conditions to minimize total mowing time while maintaining effectiveness.
Data Source
AI summary
A robotic work tool system comprising a robotic work tool configured to operate in a work area comprising a lawn being of at least one lawn type, the robotic work tool comprising a controller configured to operate in the work area based on a work schedule, wherein the work schedule includes an indication of a work amount, wherein the robotic work tool system is characterized in that the work amount is dependent on the lawn type.