SFPD-A1 Partial Discharge Sensor | Multi-Modal Online PD Detection

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Smart Distribution Management
Sensing Fusion Partial Discharge Sensor

Intelligent Power Distribution Room System

The SFPD (Sensing Fusion Partial Discharge) A1 multi-modal and multi-band adaptive partial discharge sensor is a cutting-edge online partial discharge monitoring device. It features synchronous multi-modal measurement capabilities, including Ultra-High Frequency (UHF), Transient Earth Voltage (TEV), Acoustic Emission (AE), and ambient temperature and humidity. This sensor enables real-time and dynamic calibration at the partial discharge measurement site and adaptively selects the measurement channel with the optimal signal-to-noise ratio. It is suitable for online partial discharge detection in various medium and high-voltage equipment such as switchgear, transformers, GIS, and cables.

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Technical Specifications

UHF measurement range	300MHz~2.2GHz
UHF measurement sensitivity	-85dBm
UHF measurement dynamic range	70dB
TEV measurement range	3MHz~100MHz
TEV measurement sensitivity	-80dBm
TEV measurement dynamic range	65dB
AE measurement range	100Hz~80kHz
AE measurement sensitivity	-41dBV/Pa
AE center frequency	42kHz
Measurement range and accuracy of ambient temperature	-20℃~85℃；±0.5℃； Customized
Measurement range and accuracy of ambient humidity	0~100%RH, ±3%RH, customized
Dynamic calibration strategy for environmental noise	Automatic calibration is performed at least once a day
Data transmission strategy	1s~30min acquisition and transmission once
Number of high-frequency strategy channels	Support two UHF acquisition channels
Support external UHF antenna	Loop antenna, strip antenna, planar antenna, other customized forms
Support external sensing probe	HFCT, AE, temperature and humidity, other customized probes
Power frequency synchronization method	Internal synchronization
Power supply method	Mains: AC220V, DC12V/24V Battery: 19AH Customized

Main Body of Sensor

Dimensions (L×W×H)	138×90×38mm
Weight	0.6kg (including industrial battery and industrial magnet)
Shell material	Sensor rear cover: aluminum alloy Sensor front cover: industrial-grade PVC
Installation method	Magnetic type (industrial magnet is installed inside the sensor), binding type, pasting type

Communication Indicators

Wireless communication	Channel 1: 490MHz-510MHz GFSK Channel 2: 2.4GHz BLE
Distance of wireless communication	Free space distance ≤100m, a longer distance transmission can be achieved through a self-organizing network relay
Wired communication	RS485, self-healing ring optical communication bus
Distance of wired communication	≤100m (RS485), ≤20kM (self-healing ring optical communication bus)

Features

Chip-Based Signal Processing:

Filtering, amplification, and detection are integrated into chips, providing digital output of the front-end sensed signal and systematically enhancing anti-interference performance and consistency.

Adaptive Channel Selection:

Performs dynamic signal calibration at the partial discharge measurement site, intelligently selecting the measurement channel with the highest signal-to-noise ratio.

Ultra-Low Power Consumption:

Designed for extremely low power consumption and extended standby time, enabling continuous operation for at least 5 years with a partial discharge acquisition and transmission interval of 15 minutes.

Flexible Deployment:

Supports both integrated and split product forms, allowing the front-end probe to be integrated into the sensor body or connected via a cable for more flexible deployment and improved signal acquisition sensitivity.

Dual High-Frequency Channels:

Supports simultaneous acquisition from two high-frequency electromagnetic signal channels with mutual calibration to enhance anti-interference capabilities.

Multi-Level Computing Architecture:

Employs a computing architecture with local computing at the sensor front-end, edge computing at the gateway, and big data analysis in the cloud, reducing data transmission costs and ensuring the secure and reliable operation of the partial discharge measurement network in both offline and online environments.