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Abstract

Summary

The study presents the development of an improved information-measuring system for monitoring atmospheric electrostatic field strength, designed for integration into Internet of Things frameworks for environmental monitoring and anomaly detection. Conventional instruments for electrostatic field measurements are primarily oriented toward high field levels and demonstrate significant errors in the range below 1 kV/m, which restricts their applicability for environmental monitoring tasks. Additional limitations include low noise immunity, large dimensions, and the lack of compatibility with modern digital data acquisition systems. The proposed configuration of the Electrostatic Field Mill enables measurements of atmospheric electrostatic field strength with a resolution of 1–2 V/m and a relative error of less than 1%. The paper introduces the generalized structure of the improved information-measuring system and highlights its functional advantages. The core idea of the study is the integration of the electrostatic field mill as a sensor element into IoT-based systems to establish spatially distributed monitoring networks. The proposed framework includes wireless data transmission, data aggregation, and subsequent visualization through geographic information platforms. This approach lays the foundation for distributed sensor networks capable of providing early detection of atmospheric and geophysical anomalies, as well as monitoring electrostatic risks in industrial environments.

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/content/papers/10.3997/2214-4609.202552045
2025-10-06
2026-01-21
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