Collaborative Location Monitoring With Homogeneity Validation
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Solution Overview
Problem
Existing methods for monitoring location conditions, such as road conditions, lack reliability, real-time capability, and cost-effectiveness, particularly when using heterogeneous sensors, and do not provide certified information for forensic analysis or service level agreement verification.
Innovation Solution
A collaborative monitoring system using mobile computing devices, such as vehicle-mounted terminals, that collect and filter monitoring records based on homogeneity, validate them through matching, and upload to a central computing system for determining condition indicators, which are then added to a blockchain for consensus and smart contract execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple mobile computing devices with heterogeneous sensors are used for collaborative monitoring, then the coverage and real-time capability are improved, but the reliability and measurement precision deteriorate due to data heterogeneity and outliers
Solution Approach 1:
The patent applies homogeneity by filtering monitoring records based on homogeneity thresholds before validation. The system compares monitoring values from different devices and discards records that deviate significantly from the consensus, thereby ensuring that only homogeneous data is used for determining location conditions. This resolves the contradiction by maintaining diverse sensor sources while ensuring data consistency through homogeneity filtering.
Solution Approach 2:
The system implements feedback through a validation process where monitoring records are validated against previously validated records. The central computing system receives filtered records, validates them against stored validation criteria, and provides feedback by accepting or rejecting records. This feedback mechanism ensures reliability while maintaining the collaborative monitoring capability across multiple devices.
2Reliability
If monitoring records are filtered according to homogeneity and validated through matching, then the reliability and measurement precision are improved, but the device complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by performing homogeneity filtering at the mobile computing device level before uploading records to the central system. Each mobile device pre-processes and filters its monitoring records locally based on homogeneity thresholds, reducing the amount of data that needs to be transmitted and processed centrally. This divides the complex processing task into simpler local and central operations, managing overall system complexity.
Solution Approach 2:
The system segments the monitoring process into distinct stages: data collection by mobile devices, homogeneity filtering at mobile devices, transmission to central computing system, validation at central system, and condition determination. This segmentation allows each component to focus on specific tasks with appropriate complexity levels, making the overall system more manageable while ensuring high reliability through multi-stage verification.
Data Source
AI summary
A computer-implemented method for monitoring a condition of a location is disclosed. This method includes storing monitoring records relating to segments of the location comprising one or more monitoring records being collected by the mobile computing device passing through the segment and monitoring records being received from a source mobile computing device of the mobile computing devices, each of the monitoring records comprising monitoring values indicative of a condition of corresponding positions of the corresponding segment, transmitting the monitoring records of each segment being stored to a target mobile computing devices, filtering the monitoring records of each segment being stored according to a homogeneity thereof, and uploading the monitoring records of each segment being filtered to validate the monitoring records of each segment according to a matching thereof and to determine at least one condition indicator of each segment according to the corresponding monitoring records being validated.