Robust sensor for electric field strength

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Safe Measurement of Electric Field Strength

Measurement of fields & voltages: safe, contactless, mobile, reliable

miniaturized sensor for measurement of static and low-frequency electric fields
non-contact measurement of direct and alternating voltage (DC, AC)
for high, medium and low voltage
for mobile and stationary applications
without grounded components - floating ground
no on-site calibration required - can be used pre-calibrated
robust, durable, easy to handle, safe

Level of innovation

uniquely practical measuring principle
first public presentation of a prototype - world premiere!

Applications

warning of high-voltage - e.g. for workers in transformer stations as well as on power lines, for cranes, lifting platforms, airplanes, helicopters, drones etc.
warning of electrostatic charging, prevention of dust explosions (e.g. flour, shavings)
display of residual charge (e.g. in high-voltage lines that have been disconnected from the grid)
monitoring of real exposure limits for electric fields (HVDC, HVAC, hybrid lines, transformer stations, etc.)
warning of thunderstorm formation and lightning
display of charge state for batteries and accumulators - contactless
object identification

Target groups

power industry
aviation, medicine, robotics, civil engineering, mechanical engineering
meteorology
manufacturers of safety devices and safety equipment - e.g. ESD protective equipment
manufacturers of measuring devices

Flyerdownload

English, opens in new window || German, opens in new window

A novel micro-electro-mechanical sensor can reliably measure field strength (principle picture) — Safe measurement of electric field strength

Novel micro-electro-mechanical sensor can reliably measure static and low-frequency fields in ranges from V/m to MV/m – for the first time also mobile and easy to handle (principle picture)

Occupational safety in area of high- and medium-voltage by use of helmets with field strength sensor

Robust high-precision field strength sensor for lightning forecasts in flight safety and meteorology

Contact

Univ.Prof. Dr. Franz Keplinger and Peter Heimerl

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li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn

New Sensor for electric field strength

Measurement of fields & voltages: safe, contactless, mobile, reliable

Level of innovation

Applications

Target groups

Flyerdownload

Contact