Weather Data Receiver Using Time-Synchronized Coding for Low Power
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Solution Overview
Problem
Current weather station devices face issues with poor geographic specificity, poor reception in remote areas, high cost, and high power consumption, making them impractical for widespread use, especially in battery-operated applications, and lack integration with wide area networks and multiple sensor locations.
Innovation Solution
A device that receives data through various receivers, including wide area network receivers and Internet resources, using time-synchronized coding to conserve power and provide specific weather data for a user's location, integrating GPS for precise location-based data, and aggregating data from multiple sources for a robust user experience, with features like alert systems and home automation integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weather data is transmitted with fine granularity for specific geographic regions, then measurement precision and reliability are improved, but use of energy and device complexity increase
Solution Approach 1:
The system pre-configures receivers with geographic region codes (e.g., zip codes) and pre-organizes weather data by region. When a receiver needs weather data, it already has the filtering criteria prepared, allowing it to quickly identify and receive only the relevant data stream for its specific location without having to process or filter through all possible regional data.
Solution Approach 2:
The weather data transmission system is segmented into multiple coded data streams, each corresponding to a specific geographic region or region type. Receivers are configured to decode only the segment relevant to their location, dividing the overall data transmission into manageable, location-specific portions rather than transmitting all weather data to all receivers.
2Reliability
If weather data is transmitted frequently with fine granularity, then measurement precision and reliability are improved, but use of energy increases
Solution Approach 1:
The system implements periodic transmission of weather data at predetermined time intervals (e.g., hourly updates) rather than continuous real-time transmission. Receivers are synchronized to wake up and receive data only at these predetermined intervals, maintaining data reliability through regular updates while minimizing power consumption by remaining in low-power state between updates.
3Device complexity
If current weather technology uses sixty pager cells covering the United States, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system assigns different geographic specificities to different receiver configurations and locations. Urban receivers may be configured for more localized data (e.g., specific zip codes or neighborhoods) while rural receivers use broader region codes. Each receiver's data filtering and processing is optimized for its specific local context, providing appropriate granularity without requiring all receivers to handle maximum complexity.
Data Source
AI summary
A transmitter transmits time synchronized data via a pager/WiMax/802.x access to a receiver system, wherein the receiver system is programmed to receive data for specific geographic locations. The geographic locations may be specified by the user or by the receiver system, and includes state, zip codes, towns, counties, towns, or cardinal regions. The receiver is able to find its location when outside its cell region and is able to synchronize to the data transmitted in the new cell region. Further, the receiver system is able to remotely monitor weather data and other information at a different location via wireless Internet or voice over IP. A transceiver may also be used to receive weather or alert data. In response to receiving data, the transceiver transmits the data to low powered devices in a house using a different frequency band than the frequency band it received the data.