Inspection Robot IoT Architecture for Distributed Data Processing
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Solution Overview
Problem
Existing inspection robots and their data processing systems in high-risk industries require complex and costly setups due to cumbersome data processing and storage needs, leading to inefficiencies and limited popularization.
Innovation Solution
An Industrial Internet of Things (IoT) system with a management platform that interacts with a user platform, service platform, sensor network platform, and object platform, enabling efficient data processing and storage by classifying data independently at each detection site, reducing data congestion and processing pressure through a five-platform structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple inspection electrical components or multiple inspection robots are used to conduct inspection according to the interval time, then the inspection coverage and reliability are improved, but the device complexity and construction costs increase significantly
Solution Approach 1:
The patent segments the data processing system into multiple independent sub-platforms, where each sub-platform is responsible for processing data from specific detection sites. This segmentation allows the system to handle complex inspection tasks from multiple robots and sensors without increasing overall system complexity, as each sub-platform operates independently. The management platform then integrates results from these sub-platforms to ensure comprehensive inspection coverage and reliability.
2Reliability
If multiple inspection electrical components or multiple inspection robots are used to conduct inspection according to the interval time, then the inspection coverage and reliability are improved, but the data processing and storage requirements increase significantly
Solution Approach 1:
The patent divides the data processing load into multiple independent sub-platforms, where each sub-platform processes data from specific detection sites independently. This segmentation reduces the data processing load on any single platform, as each handles only a portion of the total data. The management platform then aggregates results from these sub-platforms, maintaining comprehensive inspection coverage without requiring any single system component to handle all data independently.
Solution Approach 2:
The patent introduces a hierarchical dimension to data processing by organizing sub-platforms at one level and the management platform at another. This dimensional organization allows data to be processed in parallel across multiple sub-platforms simultaneously, then integrated vertically at the management platform level, effectively distributing the data processing load across multiple dimensions of the system architecture.
3Loss of information
If all kinds of data need to be classified and processed centrally, then comprehensive data analysis is achieved, but the data processing becomes more cumbersome and affects processing speed
Solution Approach 1:
The patent segments data processing into multiple independent sub-platforms that process data from different detection sites in parallel. Each sub-platform performs local data classification and preliminary analysis independently, which increases processing speed by eliminating sequential bottlenecks. The management platform then integrates these processed results to achieve comprehensive data analysis, maintaining information completeness while improving overall processing throughput through parallel operations.
4Ease of operation
If a centralized data processing system is used, then unified data management is achieved, but the construction costs and system complexity increase
Solution Approach 1:
The patent segments the centralized data processing system into multiple independent sub-platforms, each handling specific detection sites. This segmentation reduces construction complexity by allowing modular deployment - each sub-platform can be implemented and tested independently before integration. The management platform provides unified data management by aggregating results from these standardized sub-platforms, maintaining ease of operation through consistent interfaces while reducing overall system construction complexity through modular architecture.
Data Source
AI summary
The embodiment of the present disclosure provides an Industrial Internet of Things for inspection data processing, comprising a management platform. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.