Electrosmog Monitoring System Using Algorithmic Data Processing
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Solution Overview
Problem
Current methods for detecting and managing electrosmog levels are inadequate, as they require expert interpretation of raw data and do not provide simplified, user-friendly insights, posing risks to vulnerable populations like children and the elderly.
Innovation Solution
A system comprising central monitoring devices and multiple sensor devices that process and transmit electrosmog data using scientific algorithms and mathematical calculations, providing simplified and accurate readings, with alert mechanisms for high levels and integration with GPS for location mapping, and the ability to control emitting devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrosmog detectors record and log raw electrosmog levels, then detection capability is improved, but data interpretation becomes difficult for ordinary users
Solution Approach 1:
The patent introduces an intermediary processing layer between the sensor and the user. The sensor captures raw electrosmog data, which is then processed by a computing device that applies scientific algorithms and mathematical calculations to transform the raw data into simplified, interpretable results. This intermediary layer resolves the contradiction by maintaining measurement precision while making the output user-friendly.
Solution Approach 2:
The system performs self-service by automatically processing and interpreting the electrosmog data without requiring expert intervention. The computing device autonomously applies algorithms to the raw sensor data, generates simplified results, and presents them to ordinary users, eliminating the need for users to have specialized knowledge for data interpretation.
2Measurement precision
If expert interpretation is required for logged electrosmog data, then measurement accuracy is maintained, but system complexity and operational difficulty increase
Solution Approach 1:
The system is designed to be self-sufficient by incorporating built-in processing capabilities that automatically interpret raw electrosmog data. The computing device within the system performs scientific calculations and algorithmic processing autonomously, eliminating the need for external experts and reducing operational complexity while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces the mechanical need for expert human interpretation with an automated computational system. Instead of relying on experts to manually analyze raw data, the system uses embedded computing devices that automatically process and interpret electrosmog measurements, thereby maintaining accuracy while reducing system complexity.
3Area of stationary object
If multiple sensors are installed at multiple locations, then monitoring coverage is improved, but data processing and interpretation complexity increases
Solution Approach 1:
The patent merges the data processing function into a centralized computing device that receives and processes data from multiple sensors. Instead of each sensor operating independently with its own processing capabilities, the system combines all sensor inputs into a single processing unit, which simplifies the overall system architecture while maintaining comprehensive monitoring coverage across multiple locations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective detection, monitoring, and management of electrosmog levels, providing actionable insights for users to mitigate exposure, thereby protecting public health.
Implementation Method 1
electrosmog levels being read by one or more sensors installed at multiple locations
Data Source
AI summary
The various embodiments herein disclose an improved method and system for detection, monitoring and management of electrosmog levels at required locations which comprises of electrosmog levels being read by one or more sensors on the multiple sensor device installed at multiple locations, recording, interpreting and processing the data relating to electrosmog levels by using various scientific algorithm and mathematical calculation at the central monitoring equipment device and providing the user a simplified and more accurate data representing the levels of the electrosmog and identifying the source of the electromagnetic contamination.