Pipeline Camera Image Control for Varying Conduit Conditions
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Solution Overview
Problem
Current pipeline inspection devices face challenges in effectively displaying images captured by cameras within conduits, such as sewers, due to varying conduit characteristics like material and diameter, which affect image quality and user experience.
Innovation Solution
The pipeline inspection system includes an electronic processor that receives user input on conduit characteristics and adjusts image settings on the monitor display accordingly, allowing for improved image quality and user experience by determining optimal settings based on the conduit type, diameter, and target viewing distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image settings are kept fixed for all conduit types, then device complexity is reduced, but image quality and viewability deteriorate across varying conduit characteristics
Solution Approach 1:
The system pre-establishes multiple image settings corresponding to different conduit types (sewer, drain, pipe, conduit). When a user selects a conduit type, the corresponding pre-configured image settings are automatically applied, eliminating the need for real-time manual adjustment and reducing operational complexity while maintaining adaptability.
Solution Approach 2:
The image settings are made dynamically adjustable based on conduit characteristics. The system allows users to select different conduit types and automatically adjusts image parameters such as brightness, contrast, and exposure according to the selected conduit type, enabling the system to adapt to varying inspection conditions.
2Manufacturing precision
If manual image setting adjustment is required for each conduit type, then image quality can be optimized, but ease of operation deteriorates
Solution Approach 1:
The system performs self-adjustment of image settings based on the selected conduit type. When a user selects a conduit type from the interface, the system automatically configures the appropriate image parameters without requiring manual intervention, thereby maintaining operational simplicity while achieving optimized image quality.
Solution Approach 2:
The system provides visual feedback by displaying the selected conduit type and corresponding image settings on the interface. This allows users to verify that the correct settings are applied for the chosen conduit type, ensuring both ease of operation and image quality optimization.
3Adaptability or versatility
If multiple image settings are provided for different conduit types, then adaptability improves, but device complexity increases
Solution Approach 1:
The system employs a universal image control architecture that handles multiple conduit types through a single integrated interface. The electronic processor and display work together to manage different conduit types (sewer, drain, pipe, conduit) using a common control mechanism, reducing overall system complexity while maintaining broad adaptability.
Data Source
AI summary
A pipeline inspection system may include a cable that may be configured to be directed into a conduit. The pipeline inspection system may further include a camera disposed on a distal end of the cable and operable to capture an image. The pipeline inspection system may further include a monitor including a display configured to display an image. The pipeline inspection system may further include an electronic processor that may be configured to receive a user input indicating a characteristic of the conduit. The electronic processor may be further configured to determine an image setting of the display based on the characteristic of the conduit. The electronic processor may be further configured to control the monitor to display the image on the display according to the image setting.