# Research and Implementation of an Improved Non-Contact Online Voltage Monitoring Method

## TL;DR

This paper introduces a safer and more accurate non-contact method for monitoring voltage in complex environments.

## Contribution

An improved non-contact voltage monitoring method with enhanced adaptability and reduced measurement errors is proposed.

## Key findings

- An RC-type signal input circuit was designed to handle large input capacitance in practical scenarios.
- A mixed-signal measurement method using phase dithering reduces errors from phase drift during sampling.
- Experimental testing showed stable operation with a relative measurement error below 0.5%.

## Abstract

High-precision non-contact online voltage monitoring has attracted considerable attention due to its improved safety. Based upon existing research works and validation of non-contact voltage measurement techniques, an enhanced approach for online voltage monitoring is proposed in this paper. By analyzing the influence of the relationship between coupling capacitance and input capacitance on monitoring results, an RC-type signal input circuit with enhanced adaptability has been designed for practical engineering scenarios that may involve large input capacitance. Furthermore, a mixed-signal measurement method based on phase dithering is proposed to eliminate detection errors caused by relative phase drift during synchronous sampling in existing signal injection approaches. This improvement enhances measurement accuracy and offers a more robust theoretical basis for selecting injection signal frequencies. The hardware circuit architecture and data processing scheme presented in this work are straightforward and have been validated using an experimental prototype tested at 50 Hz/500 V and 2000 Hz/300 V. Long-term energized testing demonstrates that the system operates stably at room temperature with a relative measurement error below 0.5%. This study provides a high-precision, easily implementable non-contact measurement solution for online monitoring of low-frequency, low-voltage signals in complex electromagnetic environments such as industrial control signals, low-voltage power signals, and rail transit signals.