Handheld Power Tool Module for Wear Detection
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Solution Overview
Problem
Existing methods for monitoring hand-held power tools lack effective means to detect parameters such as engine temperature, operating hours, and misuse, leading to potential damage and maintenance challenges.
Innovation Solution
A method involving a detachable additional module with a data processing unit and sensor unit that learns reference values during initial operation, calibrates operating values, and compares them to detect wear, malfunction, and maintenance needs, using communication units for data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no monitoring system is implemented, then the tool can operate without additional complexity, but damage risk and maintenance challenges increase
Solution Approach 1:
The tool performs self-diagnosis by automatically monitoring its own parameters (temperature, operating hours, vibration) and comparing them against stored reference values. The system generates its own maintenance alerts without requiring external inspection, enabling the tool to service itself and report its condition status.
Solution Approach 2:
The monitoring system continuously measures tool parameters, compares them with reference values stored in memory, and provides feedback through maintenance alerts when deviations are detected. This closed-loop feedback mechanism enables real-time reliability monitoring and predictive maintenance scheduling.
2Loss of time
If continuous monitoring is implemented, then maintenance timing can be optimized, but energy consumption increases
Solution Approach 1:
The monitoring system operates periodically by measuring tool parameters at defined intervals during operation and comparing them against reference values. This periodic measurement approach enables effective maintenance timing optimization while consuming energy only when needed for data acquisition and comparison, rather than continuous monitoring.
3Measurement precision
If reference values are stored for comparison, then measurement precision improves, but memory requirements increase
Solution Approach 1:
The system stores reference values specifically for the individual tool's characteristic parameters in its memory, creating a localized reference profile for that specific tool. This approach enables precise comparison measurements tailored to each tool's manufacturing tolerances and operating characteristics without requiring excessive memory capacity, as only tool-specific reference data is retained.
Data Source
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AI summary
The invention relates to a method for sensing at least one characteristic value of at least one tool (12), in particular a hand-held power tool, said tool being connected, in particular detachably, to at least one additional module (10), the additional module (10) detecting at least one characteristic value of the tool (12) in at least one method step (102, 202). According to the invention, in at least one method step (102, 202), at least one training operation is carried out, in which at least one reference value is derived from the at least one characteristic value by means of the at least one additional module (10) and is stored.