Motor Drive Change Detection for Low-Memory Mobile Work Machines
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Solution Overview
Problem
Existing mobile gardening, forestry, and construction devices face challenges in efficiently determining and storing information about changes in their motor drive systems, particularly in resource-constrained environments, where capabilities are limited.
Innovation Solution
A method involving repeated detection of characteristic variables over time, comparison of values from different time periods, and storage of information only when a change is identified, utilizing a motor drive system with a variable memory device and an event memory device for efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If continuous monitoring and storage of all motor drive system data is implemented, then complete information about device changes is obtained, but memory capacity requirements and energy consumption increase significantly
Solution Approach 1:
The patent extracts only the essential information about device changes rather than storing all raw data. By comparing characteristic variables between time periods and storing only change information, the system retrieves only necessary data from the motor drive system, significantly reducing memory requirements while maintaining diagnostic capability.
Solution Approach 2:
The patent transforms raw characteristic variables into change information through comparison operations. By monitoring parameter changes rather than absolute values and using threshold-based detection, the system converts continuous data streams into discrete change events, reducing storage needs while preserving diagnostic value.
2Loss of information
If continuous monitoring and storage of all motor drive system data is implemented, then complete information about device changes is obtained, but energy consumption increases
Solution Approach 1:
The system extracts and processes only change-related information rather than continuously handling all data. By comparing current values with reference values and storing only when changes occur, energy-intensive continuous writing operations are replaced with event-triggered storage, significantly reducing power consumption.
Solution Approach 2:
The patent implements periodic comparison of characteristic variables at defined time periods rather than continuous processing. This periodic evaluation approach reduces the frequency of computational operations and storage activities, lowering energy consumption while maintaining adequate monitoring coverage.
3Measurement precision
If detailed monitoring of motor drive system is implemented, then change detection capability is improved, but device complexity increases
Solution Approach 1:
The patent focuses on detecting parameter changes rather than monitoring all system parameters in detail. By selecting key characteristic variables and comparing their changes between time periods, the system achieves effective change detection with minimal monitoring infrastructure, avoiding the complexity of comprehensive detailed monitoring.
4Reliability
If all detected data is stored continuously, then complete diagnostic information is available, but storage capacity requirements increase
Solution Approach 1:
The patent extracts only diagnostically relevant change information from the motor drive system data stream. By comparing characteristic variables and storing only when changes are detected, the system maintains diagnostic reliability while storing only essential information, avoiding the storage burden of complete continuous data retention.
Data Source
AI summary
A method determines information about a change of a mobile gardening, forestry, construction or soil-working device, wherein the gardening, forestry, construction or soil-working device has a motor drive system. The method includes: a) repeated detection of a characteristic variable of the motor drive system in respect of time, b) comparison of at least one first value of the detected characteristic variable or a variable based on it from a first time period and at least one second value of the detected characteristic variable or the variable based on it from a second time period with one another, and c) storage of the information about the change of the gardening, forestry, construction or soil-working device depending on a result of the comparison.