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Distence
Overview
HQ Location
Finland
Year Founded
2002
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Company Description
Distence is a pivot, with a new condence.io solution, offering Industrial Internet of Things (IIoT) solutions for demanding industrial environments. The company, with 15 years of experience, digitalises and connects industrial equipment such as pumps, motors, fans, and gears to an analytical cloud platform (Condence) which provides valuable data and information. It serves as a platform for machinelearnig and AI. This information then enables its users to optimise the usage and maintenance of their equipment, creating vast energy and maintenance savings. Distence’s specialty is in rotating machinery with the combination of vibration analysis and other continuous condition monitoring methodologies. Distence has delivered thousands of machine health solutions to more than 40 countries worldwide, including major clients such as Moventas (wind turbine gears), ABB, DB Santasalo, Danfoss and Skanska (construction crane intelligence).
IoT Solutions
Software Solution
Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options.
The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud.
Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge.
Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system.
Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture.
Hardware Solution
Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud.
Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not.
Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition.
Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options.
The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud.
Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge.
Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system.
Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture.
Hardware Solution
Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud.
Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not.
Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition.
IoT Snapshot
Technology Stack
Distence’s Technology Stack maps Distence’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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