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SmartLog.com

IT Services and IT Consulting

Bilzen, Limburg 385 followers

Uptime Engineers: prevent unplanned maintenance through condition monitoring

About us

Founded in 2013, Smartlog is now known as a disruptive scale-up in the field of Industry 4.0 applications. With an unique platform and ‘output-based’ or ‘paid by use’ business model, Smartlog offers a comprehensive portfolio of Industry 4.0 applications with focus on data enclosure and data analytics. Today, we meet our customers’ needs through real-time condition monitoring and predictive analytics, assuring an increased reliability of asset performance. Recognized for its innovations, Smartlog helps you to gain insight in the health of your assets and your environment by visualising sensor data on our interactive dashboard. Visualising sensor data on a platform allows you to optimize your business, to delight your customers, to innovate and to differentiate in the digital world. With Smartlog, you can rapidly build and deploy digital business applications, and get maximum value from analytics to make better decisions.

Industry
IT Services and IT Consulting
Company size
11-50 employees
Headquarters
Bilzen, Limburg
Type
Privately Held
Founded
2013
Specialties
Sensor data visualisation, HVAC Management, End-to-End solutions, Smart Industrial Solutions, Asset performance, LPWAN sensor connectivity, Air Quality Monitoring, and White label platform solutions

Locations

Employees at SmartLog.com

Updates

  • In the realm of highly critical environments such as Vaccinopolis in Antwerp, the demand for reliable continuous sensor measurements is paramount. 🛠️Predictive maintenance revolves around three pivotal components: 1️⃣ Specialized sensors for specific failure mechanisms: - Providing real-time data. - Battery-powered for enhanced flexibility in deployment. 2️⃣ Secure industrial IoT platform: - Based on a data diode principle, ensuring data security (no write permissions unless it's done in a secure and validated manner). 3️⃣ Predictive algorithms based on known failure mechanisms: - Our algorithms evolve from a deep understanding of failure mechanisms. - Aim: Achieving maintenance precisely when needed and foreseeing failures before they occur. The data gathered in this case gives Vaccinopolis a first push toward predictive maintenance by providing more insights into energy consumption, vibration measurements and frequency converters. #PredictiveMaintenance #IndustrialIoT #sensors #vibrationanalysis #energyefficiency

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