Mower Motor Imbalance Detection Using Sensor Data Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mowers experience motor imbalance and wear over time, leading to inefficient operation and potential failure without effective maintenance alerts.
Innovation Solution
A mower system equipped with multiple sensors and a processing circuit that monitors and compares sensor data from equivalent motors, generating alerts when significant differences in temperature, current, or speed indicate a motor requires maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motor imbalance monitoring is implemented using sensors and processing circuits, then motor reliability and timely maintenance detection are improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into independent sensor modules for each motor, each capturing specific parameters (temperature, current, speed). This modular approach allows the system to scale with the number of motors while maintaining manageable complexity through standardized sensor interfaces and independent data processing streams.
Solution Approach 2:
The processing circuit is designed with universal functionality to handle data from multiple different sensor types and multiple motors simultaneously. The same comparison logic and notification system serve all motors, eliminating the need for separate monitoring systems for each motor and reducing overall system complexity.
2Measurement precision
If multiple sensors are installed on each motor to monitor temperature, current, and speed, then measurement precision is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
Multiple sensors monitoring different parameters (temperature, current, speed) are merged into a unified data processing framework. The processing circuit integrates data from all sensors to perform comprehensive motor health assessment, eliminating the need for separate analysis systems for each parameter and reducing overall system complexity.
Solution Approach 2:
The system uses the motors' own operational characteristics (temperature rise, current draw, speed variations) as indicators of their health status. By monitoring parameters that naturally occur during motor operation, the system avoids requiring additional active components or complex diagnostic equipment.
3Productivity
If real-time comparison of sensor data from equivalent motors is performed, then productivity through preventive maintenance is improved, but use of energy and computational resources increases
Solution Approach 1:
The system performs partial comparison by focusing only on the critical parameters that indicate motor imbalance (temperature differential, current asymmetry, speed variation). Rather than analyzing every possible motor parameter, the system targets the most informative subset, reducing computational energy requirements while maintaining effective fault detection.
Solution Approach 2:
The system continuously monitors motor parameters and performs preliminary comparisons to detect early signs of imbalance before actual failure occurs. By identifying trends and anomalies in real-time data, the system enables preventive maintenance scheduling that avoids catastrophic failures and maximizes productivity without requiring intensive energy consumption.
Data Source
AI summary
A mower system includes a mower and at least one processing circuit. The mower includes a chassis, a tractive element coupled to the chassis, a mower deck including a housing coupled to the chassis and a cutting element rotatably coupled to the housing, a first actuator coupled to the chassis, a first sensor configured to provide first sensor data related to operation of the first actuator, a second actuator coupled to the chassis, and a second sensor configured to provide second sensor data related to operation of the second actuator. The at least one processing circuit is configured to receive the first sensor data and the second sensor data, compare the first sensor data and the second sensor data, and provide a notification indicating a failure associated with the first actuator in response to a determination that the first sensor data differs from the second sensor data.