Movable Machine Tool Sensor Detection Under Particle Pollution
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Solution Overview
Problem
Mobile machine tools face challenges in maintaining effective sensory detection due to particle pollution, such as chips and dust, which impair the tool sensor signals during machining operations.
Innovation Solution
The implementation of optimization means, including digital signal processing filters like median, Gaussian, and bilateral filters, as well as illumination devices and scavenging air flows, to reduce the impact of particles on tool sensor signals and improve image detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the tool sensor detection range is positioned at the workpiece contact area, then the sensor can detect the machining process, but particles (chips, dust) generated during machining pollute the detection area and impair the sensor signal
Solution Approach 1:
The patent extracts and removes particles from the detection area using a suction device that creates a negative pressure zone, physically separating the harmful particles from the sensor's field of view to maintain detection accuracy
Solution Approach 2:
The patent introduces an intermediary substance (air flow) that carries particles away from the detection area. The air current acts as a mediator between the particle-generating machining zone and the sensor, transporting contaminants without direct contact
2Measurement precision
If digital signal processing means are used to filter particles, then the tool sensor signal is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical filtering systems with digital signal processing algorithms that run on a processor. Instead of using physical filters that would add mechanical complexity, the system uses software-based filtering (median filter, mean filter) to remove particle interference from sensor signals
Solution Approach 2:
The patent changes the state of the sensor signal from raw analog data to processed digital data by applying filtering algorithms. The signal parameters are transformed through mathematical operations (median calculation, mean calculation) to eliminate noise while preserving useful information
3Object-affected harmful factors
If scavenging air flow is used to flush particles, then particle removal is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by using a localized air flow only in the specific detection area where particles are problematic, rather than flushing the entire machining zone. The air current is directed precisely where needed to remove particles from the sensor's field of view
Solution Approach 2:
The patent uses a pneumatic system (air flow) to remove particles from the detection area. A blowing device generates a controlled air current that carries particles away from the sensor, utilizing gas dynamics to achieve particle removal with relatively low energy input
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
Enhances the accuracy and reliability of tool sensor signals by effectively filtering out interference and improving image quality, allowing for better detection and control during machining processes.
Implementation Method 1
the digital signal processing means comprises or is formed by at least one digital filter for filtering pixels generated by the particles
Implementation Method 2
a scavenging air flow can be provided in the form of a suction flow or cooling air flow, which so to speak flushes particles out of the detection area
Implementation Method 3
the at least one optimization means can also include or be formed by an illumination device. Thus, the detection area is brightened or illuminated in a targeted manner
Data Source
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AI summary
The invention relates to a movable machine tool (10), specifically a hand-held machine tool or a semi-stationary machine tool, for processing a workpiece (W), wherein said machine tool (10) comprises a, particularly, planar guide element (30) having a guide surface (32) for guiding the machine tool (10) on the workpiece (W) or guiding the workpiece (W) on the machine tool (10), wherein said machine tool (10) has a drive unit (11) with a drive motor (13) for driving a tool receiving portion (14) that is arranged on the drive unit (11) and receives a working tool (15), said machine tool (10) comprising a tool sensor (61, 62), the detection range (EB1, EB2) of which is at least partly affected by particles produced as a workpiece (W) is being processed using said working tool (15). According to the invention, the machine tool comprises at least one optimisation means (OPT) which reduces the effect of the particles in the detection range (EB1, EB2) on a tool sensor signal of said tool sensor (61, 62).