Monitoring & Analytics

Harnessing IoT potential for condition monitoring and data analysis is a must

Material damage, wear and tear, environmental influences, and operating errors are the most frequent causes of malfunctions in industrial plants. Any consequences, such as the production of rejects or machine downtime, cause considerable economic damage. Using IoT technology for condition monitoring and data analysis not only reduces maintenance costs and downtime but also increases production capacity and extends the service life of machinery and equipment. The Elements for IoT module Monitoring & Analytics provides a comprehensive basis.

Benefits

Using data science and analytics as the basis for data-driven processes
Process large amounts of data automatically
Automate condition monitoring and minimize downtime
Enable complex analyses with templates at the push of a button
Keep assets in view with dashboards and manage them securely with key performance indicators

Turn Big Data into Smart Data

Devices and machines deliver large amounts of data. Use the possibilities of data science and analytics as the basis for data-driven processes and transform mass data into smart data. With Elements for IoT, automated pre-processing steps ensure this information is stored in the correct format – for example, through unit conversion. For subsequent analysis, cleansing and consolidation processes, Elements for IoT integrates open source tools or your analysis tools to support your optimization processes.

Turn Big Data into Smart Data

Devices and machines deliver large amounts of data. Use the possibilities of data science and analytics as the basis for data-driven processes and transform mass data into smart data. With Elements for IoT, automated pre-processing steps ensure this information is stored in the correct format – for example, through unit conversion. For subsequent analysis, cleansing and consolidation processes, Elements for IoT integrates open source tools or your analysis tools to support your optimization processes.

Monitor your machines and assets

You can define tolerance ranges for incoming operational data. Elements for IoT uses live data to monitor the condition of your machines and devices (condition monitoring) and automatically triggers predefined processes when tolerance ranges are exceeded. In the event of an incident, the responsible departments are automatically notified and the necessary measures or follow-up processes are triggered. This minimizes downtime and improves production quality. At the same time, you can offer customers additional services such as predictive maintenance.

Monitor your machines and assets

You can define tolerance ranges for incoming operational data. Elements for IoT uses live data to monitor the condition of your machines and devices (condition monitoring) and automatically triggers predefined processes when tolerance ranges are exceeded. In the event of an incident, the responsible departments are automatically notified and the necessary measures or follow-up processes are triggered. This minimizes downtime and improves production quality. At the same time, you can offer customers additional services such as predictive maintenance.

Advanced analytics at the push of a button

In particularly demanding applications, such as predictive maintenance, the available data are input variables for simulations or complex calculations. Data analysts can use CONTACT's PowerApplications to model and provide calculations as templates in a graphical programming interface. This means that complex analyses, evaluations or data preparation can be carried out by everyone in the team at the touch of a button. Specialist departments are thus able to act independently without the limited resources of data analysts.

Learn more

Advanced analytics at the push of a button

In particularly demanding applications, such as predictive maintenance, the available data are input variables for simulations or complex calculations. Data analysts can use CONTACT's PowerApplications to model and provide calculations as templates in a graphical programming interface. This means that complex analyses, evaluations or data preparation can be carried out by everyone in the team at the touch of a button. Specialist departments are thus able to act independently without the limited resources of data analysts.

Learn more

In particularly demanding applications, such as predictive maintenance, the available data are input variables for simulations or complex calculations. Data analysts can use CONTACT's PowerApplications to model and provide calculations as templates in a graphical programming interface. This means that complex analyses, evaluations or data preparation can be carried out by everyone in the team at the touch of a button. Specialist departments are thus able to act independently without the limited resources of data analysts.

Gain overview with dashboards and define metrics

Use Elements for IoT for comprehensive monitoring and get an overview with easy-to-create and customize dashboards. CONTACT's modern web UI lets you monitor and analyze machines, devices, and fleets. You can use a wide catalog of widgets and a variety of graphs, and freely define KPIs for the most relevant operational data.

Gain overview with dashboards and define metrics

Use Elements for IoT for comprehensive monitoring and get an overview with easy-to-create and customize dashboards. CONTACT's modern web UI lets you monitor and analyze machines, devices, and fleets. You can use a wide catalog of widgets and a variety of graphs, and freely define KPIs for the most relevant operational data.

Data is the new oil!

Modern analysis methods are a decisive success factor for service-oriented business models around IoT and industry 4.0. A new white paper explains the state of the art and shows what the latest methods can achieve in practice. Our white paper Data Science & Analytics provides an overview of the development and perspectives of a key science.

Download White Paper