Autonomous Inspection Navigation for Scattered Object Scanning
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Solution Overview
Problem
Existing inspection systems require manual labor to determine the location of objects to be inspected, leading to low scanning efficiency and high labor costs, especially in large inspection regions with scattered objects.
Innovation Solution
An autonomous inspection method that includes a movable inspection device equipped with laser radar devices and a topological map to automatically detect and guide the device to the objects, determining their orientation and moving in specific directions for scanning, reducing manual operations and labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to determine the location of objects to be inspected, then the inspection process can be completed, but the scanning efficiency is low and labor costs are high
Solution Approach 1:
The inspection device is equipped with laser radar devices and a topological map to automatically detect objects and determine their locations and orientations without human intervention. The device autonomously navigates to objects and performs scanning operations, making the system self-sufficient and eliminating manual labor requirements.
Solution Approach 2:
Manual mechanical operations for location determination are replaced by laser radar devices that emit and receive laser beams to detect objects. The optical detection system substitutes human visual inspection and manual positioning, enabling automated object detection and location determination.
2Area of stationary object
If the inspection region is large and objects are scattered, then the coverage area is increased, but the scanning efficiency decreases and more labor is required
Solution Approach 1:
The inspection device is designed to be movable rather than stationary, allowing it to dynamically navigate to scattered objects throughout the large inspection region. The device can change its position and orientation automatically, adapting to the distribution of objects and maintaining high scanning efficiency across extensive areas.
Solution Approach 2:
The topological map serves as an intermediary between the laser radar detection system and the navigation system. It stores spatial relationships and guides the device's movement to objects, enabling efficient path planning and navigation in large inspection regions with scattered targets.
3Ease of operation
If manual determination of object locations is used, then the process can be completed, but it requires a large amount of labor costs
Solution Approach 1:
The entire inspection process is automated with the device performing self-detection, self-navigation, and self-scanning operations. No manual intervention is required for determining object locations or executing inspection tasks, completely eliminating labor costs while maintaining operational simplicity through autonomous intelligence.
4Extent of automation
If the inspection device automatically detects and positions objects, then labor costs are reduced, but the device complexity increases
Solution Approach 1:
The inspection device integrates multiple functions into a single platform: laser radar devices for detection, navigation systems for positioning, and scanning mechanisms for inspection. This multi-functional integration achieves high automation while consolidating components rather than adding separate systems.
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 method enhances inspection efficiency by enabling intelligent positioning and scanning without human intervention, improving the automation level and reducing labor costs.
Implementation Method 1
scanning the inspection region by a first laser radar device on the inspection device, where the first laser radar device is configured as a multi-line laser transmitter
Implementation Method 2
detecting whether an object to be inspected exists in the inspection region or not
Data Source
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AI summary
The present disclosure provides an autonomous inspection method for an inspection device. The autonomous inspection method comprises the following steps: acquiring position information of the inspection device; detecting whether an object to be inspected is present in an inspection region; when the object is present in the inspection region, predetermining, in combination with the position information of the inspection device, the orientation of the object relative to the inspection device; according to the predetermined orientation, enabling the inspection device to move in a first direction, and checking whether the object is present in a second direction; and when the object is detected in the second direction, enabling the inspection device to move in the second direction, and inspecting the object.