A solution to your spatial needs
We offer White Papers and the creation of presentation and educational materials, to include Continuing Education Unit (CEU) courses where needed. We support the generation of educational materials, presentations, and virtual video productions.
FLUXMETER™ Measure Electromagnet Fields
This Free utility uses your device's built in magnetometer to scan for 50/60hz alternating current waves, emanating from power lines and unshielded devices that use alternating current, such as desk fans, space heaters, or toasters. Fluxmeter™ uses a proprietary algorithm to "zero" out the Earth's magnetic field, allowing measurement of the local area magnetic flux only.
Solving ISO 9223 C1-5x
Estimating corrosion growth rate is a non-linear, multi-dimensional (space and time) challenge. Aboveground outdoor assets are affected by natural atmospheric factors such as climate, salinity and human contributions such as pollution. International Standard ISO9223(1) provides guidance, including response functions and a classification schema (C1 thru C5) for estimating corrosion risk as a function of three variables: weather (temperature and humidity), dry deposition of sulfides, and dry deposition of chlorides.
CBOT™ Corrosion Sensor
The CBOT™, designed by AtmosphericIQ LLC for Engineering Director, Inc. (EDI), is is a state-of-the-art atmospheric sensor device designed to accurately measure and monitor corrosion rates in real-time. It is IOT enabled, allowing for remote monitoring and data collection through an integrated wireless communication system.
This sensor is designed in accordance with ISO22858, an international standard for corrosion rate measurement, and is capable of measuring corrosion rates of carbon steel that are compliant with ISO9223, an international standard for corrosion resistance.
Power Line & Tower Data
Our dataset contains over 21 million towers and 1.8 million powerlines over 7 continents. Global Powerline and Tower module contains powerline (polyline) and tower (point) data with pre-defined features, including Line voltages (kV where available), Geo-spatial coordinates, Tower heights where available. Available in geospatial GDB, Shapefile, Real-time syndication to ArcGIS and via EDIS secure web platform. Data can be purchased by continent, country, or global.
CGR Prediction Underground Pipeline Machine Learning
Use The business case for this paper involves cost-effectively and efficiently assessing environmental conditions and the related impact of corrosion on underground pipeline using geographical information systems (GIS) and spatial data, with limited excavation. The objective is to proactively target those areas that have the highest likelihood of advanced corrosion (based on rate and degree of corrosion) and thus reduce risk of failure, while maximizing both capacity and related cost of inspection.
North America, there are over three million high voltage alternating current (HVAC) towers and twenty thousand power lines over 220 kV. These external elements present a safety risk to pipeline integrity. Research has shown increases in voltage induced on the pipeline resulting in an increased probability of failure due to external corrosion growth and difficulty managing cathodic protection systems : North American High Voltage AC Infrastructure The risk comes in the form of capacitive, inductive, and resistive coupling from the HVAC assets. Each coupling method suggests a unique geospatial susceptibility analysis and mitigation recommendation. This susceptibility analysis considers inductive and resistive coupling only.