Meteomatics Case Studies Meteomatics and Spottitt Partnership: High-Resolution Weather Analytics for Infrastructure Monitoring

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	Meteomatics and Spottitt Partnership: High-Resolution Weather Analytics for Infrastructure Monitoring Meteomatics

Meteomatics and Spottitt Partnership: High-Resolution Weather Analytics for Infrastructure Monitoring

Meteomatics

Technology Category	Networks & Connectivity - Global Navigation Satellite System (GNSS) Sensors - Utility Meters
Applicable Industries	Electrical Grids Renewable Energy
Use Cases	Construction Management Infrastructure Inspection
Services	System Integration
Challenge	Spottitt, a cloud-based solution provider, leverages satellite data and advanced AI models to offer insights for the energy, utility, and infrastructure sectors. The company's services are crucial in identifying potential points of failure in critical infrastructure such as transmission grids, pipelines, and substations, and in developing strategies to minimize downtime and mitigate the risk of catastrophic damages. However, extreme weather events like heatwaves, severe cold snaps, heavy rainfall, and windstorms pose significant threats to infrastructure, leading to equipment damage, power outages, wildfires, and safety risks for power grids and utility pipelines. Additionally, the performance and efficiency of renewable energy systems are dependent on weather conditions. Therefore, there was a need for a solution that could provide high-resolution weather information to monitor rapidly changing weather and climate conditions around critical infrastructure. Read More
About Customer	Spottitt is a cloud-based solution provider that uses satellite data and advanced AI models to offer insights for the energy, utility, and infrastructure sectors. The company's services are crucial in identifying potential points of failure in critical infrastructure such as transmission grids, pipelines, and substations, and in developing strategies to minimize downtime and mitigate the risk of catastrophic damages. Spottitt's suite of monitoring services covers a wide range of needs, including vegetation, 3rd party, pipeline leak, climate conditions, biodiversity, land and assets, motion, flood, photovoltaics, and wind site selection. Read More
Solution	To address this challenge, Meteomatics' weather data was integrated into Spottitt’s Climate Conditions Monitoring module. This integration provides Spottitt's clients with high-resolution weather information, enabling them to monitor rapidly changing weather and climate conditions around their critical infrastructure. Spottitt's Climate Conditions Monitoring module offers operators regular insights into the environmental conditions impacting their assets. It leverages a combination of satellite data, AI technology, and high-resolution weather data from Meteomatics to monitor key parameters including wind speed, temperature, precipitation, wind direction and gust speed, relative humidity, and many more. Meteomatics’ Weather API collects and combines data from various sources, including global and regional weather models, satellite imagery, radar, and weather stations. The data is then post-processed using Meteomatics’ proprietary 90-meter downscaling technology to produce higher local accuracy. Spottitt retrieves a large dataset of historical weather data from Meteomatics’ Weather API and ingests it directly into the Spottitt Metrics Factory, also known as Spottitt MF, the company’s analytics system. Read More Log in to view content
Contents

Technology Category

Networks & Connectivity - Global Navigation Satellite System (GNSS)

Sensors - Utility Meters

Applicable Industries

Electrical Grids

Renewable Energy

Use Cases

Construction Management

Infrastructure Inspection

Services

System Integration

Challenge

Spottitt, a cloud-based solution provider, leverages satellite data and advanced AI models to offer insights for the energy, utility, and infrastructure sectors. The company's services are crucial in identifying potential points of failure in critical infrastructure such as transmission grids, pipelines, and substations, and in developing strategies to minimize downtime and mitigate the risk of catastrophic damages. However, extreme weather events like heatwaves, severe cold snaps, heavy rainfall, and windstorms pose significant threats to infrastructure, leading to equipment damage, power outages, wildfires, and safety risks for power grids and utility pipelines. Additionally, the performance and efficiency of renewable energy systems are dependent on weather conditions. Therefore, there was a need for a solution that could provide high-resolution weather information to monitor rapidly changing weather and climate conditions around critical infrastructure.

About Customer

Spottitt is a cloud-based solution provider that uses satellite data and advanced AI models to offer insights for the energy, utility, and infrastructure sectors. The company's services are crucial in identifying potential points of failure in critical infrastructure such as transmission grids, pipelines, and substations, and in developing strategies to minimize downtime and mitigate the risk of catastrophic damages. Spottitt's suite of monitoring services covers a wide range of needs, including vegetation, 3rd party, pipeline leak, climate conditions, biodiversity, land and assets, motion, flood, photovoltaics, and wind site selection.

Solution

To address this challenge, Meteomatics' weather data was integrated into Spottitt’s Climate Conditions Monitoring module. This integration provides Spottitt's clients with high-resolution weather information, enabling them to monitor rapidly changing weather and climate conditions around their critical infrastructure. Spottitt's Climate Conditions Monitoring module offers operators regular insights into the environmental conditions impacting their assets. It leverages a combination of satellite data, AI technology, and high-resolution weather data from Meteomatics to monitor key parameters including wind speed, temperature, precipitation, wind direction and gust speed, relative humidity, and many more. Meteomatics’ Weather API collects and combines data from various sources, including global and regional weather models, satellite imagery, radar, and weather stations. The data is then post-processed using Meteomatics’ proprietary 90-meter downscaling technology to produce higher local accuracy. Spottitt retrieves a large dataset of historical weather data from Meteomatics’ Weather API and ingests it directly into the Spottitt Metrics Factory, also known as Spottitt MF, the company’s analytics system.

Impact #1	The integration of Meteomatics' weather data into Spottitt MF has resulted in a significant development that enables users to effectively quantify and mitigate the growing risks associated with weather events. The availability of comprehensive parameters, combined with a 90-meter downscaling technique, gives users a detailed understanding of the average weather conditions at specific asset locations and effectively assess weather risks. This integration has successfully combined high-resolution weather modeling with advanced analytical tools, providing Spottitt's clients with the ability to monitor rapidly changing weather and climate conditions around their critical infrastructure.

Impact #1

The integration of Meteomatics' weather data into Spottitt MF has resulted in a significant development that enables users to effectively quantify and mitigate the growing risks associated with weather events. The availability of comprehensive parameters, combined with a 90-meter downscaling technique, gives users a detailed understanding of the average weather conditions at specific asset locations and effectively assess weather risks. This integration has successfully combined high-resolution weather modeling with advanced analytical tools, providing Spottitt's clients with the ability to monitor rapidly changing weather and climate conditions around their critical infrastructure.

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Overview

Meteomatics and Spottitt Partnership: High-Resolution Weather Analytics for Infrastructure Monitoring

Operational Impact