Autonomous Snow Blower Control Using Snow Measurement Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional snow blowers are bulky, difficult to maneuver, and require manual operation, making them inefficient for autonomous snow removal, especially on unpaved surfaces and in deep snow conditions.
Innovation Solution
An autonomous robot system equipped with a snow removal assembly, sensors, and a snow measuring unit that uses GPS, boundary wires, and AI to autonomously clear snow, allowing for customizable removal schedules and interchangeable snow removal tools, and can be controlled via a mobile app for real-time monitoring and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional snow blowers are used, then snow removal capability is achieved, but the equipment is bulky and difficult to maneuver
Solution Approach 1:
The snow removal system is divided into modular components: autonomous navigation module, snow detection module, snow removal execution module, and communication module. Each module performs a specific function, allowing the system to be maneuverable while maintaining comprehensive snow removal capability.
Solution Approach 2:
The snow blower is equipped with autonomous navigation capabilities including GPS positioning, obstacle detection sensors, and automatic path planning. The system can independently navigate to designated areas, detect snow conditions, and execute removal operations without human intervention, eliminating the need for manual operation while maintaining ease of use.
2Productivity
If traditional snow blowers are used, then snow removal is performed, but it requires manual operation and is time consuming
Solution Approach 1:
The system continuously monitors snow accumulation using sensors and weather data before significant snowfall occurs. When snow reaches predetermined thresholds, the system automatically activates and begins removal operations, preventing snow buildup and eliminating the need for delayed manual intervention.
Solution Approach 2:
The snow blower incorporates real-time feedback mechanisms through sensors that monitor snow depth, density, and removal rate. The system continuously adjusts its operation based on this feedback, optimizing performance and automatically tracking completed areas to prevent redundant operations, thereby maximizing efficiency and minimizing time loss.
3Reliability
If snow blowers advance slowly to clear snow effectively, then snow removal quality is maintained, but the process becomes very time consuming
Solution Approach 1:
The snow blower employs dynamic speed adjustment capabilities that automatically modify advancement rate based on real-time snow conditions. In light snow, the system advances at higher speeds while maintaining effective clearing. In heavy or compacted snow, the system automatically reduces speed to ensure thorough removal, optimizing the balance between speed and quality without manual intervention.
Solution Approach 2:
The system dynamically changes operational parameters including brush rotation speed, auger RPM, and advancement rate based on detected snow characteristics. This allows the snow blower to maintain high productivity in favorable conditions while ensuring reliable removal quality in challenging conditions, effectively resolving the contradiction between speed and quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The autonomous system provides efficient, safe, and reliable snow removal, adapting to different snow types and conditions, reducing manual labor and time consumption, while ensuring safe operation and minimizing damage from obstacles.
Implementation Method 1
The scale is configured to measure a weight of collected snow within the snow collection cavity
Implementation Method 2
the snow measuring unit includes a sensor configured to measure a height of the snow
Data Source
AI summary
An autonomous snow removal system is described. The autonomous snow removal system includes an autonomous, battery-powered, robot with an interchangeable snow removal assembly. The robot includes an onboard computer which connects wirelessly to a snow removal unit. As snow falls into the unit, the snow is measured and categorized, and data is transmitted to the onboard computer. The system may determine when to clear snow based at least in part on the amount and type of snow that has been collected. An object of the autonomous snow removal system is to provide highly accurate snow removal operations autonomously. Users may also calibrate the system and set way points using the app such that the robot clears snow from driveways or walkways only when specific conditions are present as preset by the user.