Unmanned Asset-Sensor Mapping for Accurate IoT Registration
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Solution Overview
Problem
Current IoT-enabled asset management systems face challenges in accurately mapping sensor devices to their respective assets, leading to flawed monitoring due to errors in manual mapping processes, which are time-consuming and prone to mistakes, especially when dealing with numerous sensor devices.
Innovation Solution
The implementation of an unmanned vehicle (UV) to locate and record sensor identifiers, linking them to asset locations, and registering these mappings within an enterprise resource planning (ERP) system, thereby automating the sensor-to-asset mapping process without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping processes are used to associate sensor devices with assets, then operational flexibility and human oversight are maintained, but mapping accuracy deteriorates due to human errors and time consumption increases
Solution Approach 1:
The patent replaces manual mapping processes with an automated system using unmanned vehicles (drones) equipped with sensors and image recognition technology. The system automatically detects sensor devices, captures images, identifies asset locations, and creates mappings without human intervention, thereby eliminating human errors and significantly reducing time consumption while improving mapping accuracy
Solution Approach 2:
The system enables self-service mapping by allowing the unmanned vehicle to autonomously navigate to asset locations, detect sensor devices using onboard sensors, capture images, process the images to identify locations, and register mappings automatically. This self-service capability eliminates the need for manual mapping operations while improving accuracy and efficiency
2Productivity
If manual mapping processes are used to associate sensor devices with assets, then system complexity remains low, but productivity deteriorates due to time-consuming operations and error correction needs
Solution Approach 1:
The unmanned vehicle is designed as a multi-functional platform that combines navigation, sensor detection, image capture, image processing, and mapping registration capabilities in a single system. This universal approach allows one system to perform multiple functions that would otherwise require separate processes, thereby improving productivity while keeping the overall system architecture manageable through integrated design
Solution Approach 2:
The system performs preliminary actions by pre-equipping the unmanned vehicle with necessary sensors, cameras, and processing capabilities before deployment. The vehicle autonomously navigates to target locations, detects sensor devices, and completes mapping operations in advance, eliminating the need for subsequent manual verification and correction, thus improving productivity
3Reliability
If automated unmanned vehicles are deployed to locate and map sensor devices, then mapping accuracy and productivity improve, but device complexity and operational costs increase
Solution Approach 1:
The patent replaces complex manual mapping operations with an automated unmanned vehicle system that uses sensors, cameras, and image recognition algorithms. This substitution improves mapping reliability by eliminating human errors while the modular architecture of the unmanned system (navigation module, detection module, processing module) keeps the complexity manageable through standardized components
Solution Approach 2:
The unmanned vehicle acts as an intermediary between the manual mapping process and the final asset-sensor mapping database. It captures raw sensor data and images, processes them through image recognition algorithms, and outputs structured mapping information. This intermediary role improves reliability while containing complexity within the unmanned vehicle system, separating it from the core asset management infrastructure
Data Source
AI summary
A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.