Automated Sensor Integration System for Network Efficiency
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Solution Overview
Problem
Current data networks are inefficient in managing high volumes of low-bandwidth devices, leading to suboptimal use of shared network resources, particularly in environments where devices communicate uncoordinatedly, resulting in a low useful-to-useless data ratio.
Innovation Solution
An automated sensor integration and data collection system that includes a platform server managing a sensor library, generating configurations for selected sensors and datums, and communicating these configurations to computing devices over wireless links, enabling efficient data transmission and reception while maintaining synchronization and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If devices communicate in an uncoordinated environment, then device autonomy and simplicity are maintained, but network resource efficiency deteriorates with useful-to-useless data ratio below 10%
Solution Approach 1:
A coordination server acts as an intermediary between sensors and the network, receiving sensor data, applying compression algorithms, and transmitting only essential information. This mediator resolves the contradiction by maintaining device autonomy while significantly improving network efficiency through centralized coordination and data filtering.
Solution Approach 2:
The patent extracts redundant and useless data from sensor readings before transmission, keeping only the most valuable information. By separating essential data from unnecessary data at the source, the system maintains simple device operation while dramatically reducing network traffic and improving resource efficiency.
2Quantity of substance
If high volumes of low-bandwidth devices are deployed, then sensor network coverage and monitoring capability are improved, but network resource utilization deteriorates due to uncoordinated communication
Solution Approach 1:
Multiple low-bandwidth devices are merged into a coordinated network managed by a central server. The server aggregates data from numerous sensors, applies unified compression algorithms, and manages transmission schedules, enabling large-scale deployment while optimizing network resource usage and reducing energy waste.
Solution Approach 2:
The system changes data transmission parameters dynamically based on network conditions and sensor priorities. By adjusting compression levels, transmission intervals, and data sampling rates, the network can support high volumes of devices while minimizing energy consumption and maximizing resource utilization.
3Ease of manufacture
If sensor data is transmitted without coordination, then data collection simplicity is maintained, but data quality and usefulness deteriorate with low useful-to-useless data ratio
Solution Approach 1:
Data compression and filtering operations are performed in advance before transmission, preparing only the most useful information for network transfer. This preliminary processing maintains the simplicity of data collection at the sensor level while ensuring that transmitted data has high usefulness and minimal redundancy.
Data Source
AI summary
Apparatuses, methods, and systems for automated sensor integration and data collection. One method includes managing, by a platform server, a sensor library that includes sensor information for a plurality of sensors, receiving, by the platform server, from a user, a selection of a sensor from the sensor library and a selection of an associated datum, generating, by the platform server, a configuration based on the selected sensor and the associated datum, communicating, by the platform server, the configuration to a computing device over a wireless link, receiving, by the computing device, the configuration, updating, by the computing device, with the configuration, and transmitting and receiving, by the computing device, data with the selected sensor based on the configuration.