Beacon Network Aggregating Mobile Sensor Data
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Solution Overview
Problem
Existing systems lack an efficient method to collect and organize data from multiple mobile devices for providing real-time information on various environmental and health-related parameters to users and service providers, making it difficult to manage and present large volumes of data effectively.
Innovation Solution
A network-based system utilizing mobile devices with sensors and beacons to collect and transmit data, which is then aggregated and presented to users through visual representations like maps, charts, or alerts, leveraging communication networks to facilitate data collection and distribution across multiple locations and times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple mobile devices with sensors, then the quantity and variety of information increases, but the complexity of organizing and managing the data increases
Solution Approach 1:
The patent introduces a server as an intermediary component that receives data from multiple mobile devices, processes and organizes it centrally, and then distributes processed information back to users. This intermediary server handles the complexity of data aggregation, validation, and organization, relieving individual devices from managing large volumes of collected data and resolving the contradiction between data quantity and organizational complexity.
2Speed
If real-time data collection from multiple sources is implemented, then the timeliness of information provided to users improves, but the network bandwidth and system resources required increase
Solution Approach 1:
The patent extracts and processes only the most relevant and urgent data elements in real-time, rather than transmitting and processing all collected data equally. The server identifies and prioritizes critical information (such as health alerts or significant environmental changes) for immediate transmission to users, while batching or filtering less urgent data. This selective extraction approach maintains real-time responsiveness for critical events while reducing overall network resource consumption.
3Loss of information
If comprehensive sensor data is aggregated and presented to users, then the usefulness and value of information increases, but the difficulty of presenting and visualizing the data effectively increases
Solution Approach 1:
The patent segments the comprehensive sensor data into distinct categories and types (such as health metrics, environmental conditions, location information) and presents them through specialized visual interfaces. Different data types are visualized using appropriate formats (charts for trends, maps for location, gauges for current states), making the complex information set manageable and interpretable. This segmentation allows users to access comprehensive information without being overwhelmed by its complexity.
Data Source
AI summary
Methods and systems for providing information to a user are described. Multiple mobile devices can individually collect data and feed the data to beacons in a location. The information can include sound data, light data, motion data, health and wellness related data, humidity data, and/or temperature data. The beacons receive this data from multiple users and transmit it to a service provider. The service provider collects the data from the beacons and provides the data to one or more users.


