Acquire, understand and utilise data with Industrial IoT solutions
Many companies already have basic knowledge of Industrial IoT applications, however they often lack the know-how to implement them independently. Therefore, data is initially acquired and stored, but often it is not used further for a specific purpose. However, specific, measurable value is first achieved from the collected data through logical linking and evaluation. The opportunities brought about by Industrial IoT can be used in many different and individual ways.
Data-driven services use your data to create added value.
Weidmüller helps industrial companies discover the individual potential of Industrial IoT applications, develop needs-based solutions and successfully integrate them in existing structures, for example, for location-independent machine commissioning, an improvement in overall equipment effectiveness (OEE) or the generation of automated reports on energy consumption. It is therefore important to define a specific goal in advance.
We explain the application fields
Essentially, there is a distinction between greenfield and brownfield projects. For greenfield projects, this involves constructing a completely digitalised machine/plant, whereas with brownfield projects the plant / machine fleet is not yet compatible with Industrial IoT. The latter currently applies to the majority of the installed base. Therefore, digital retrofitting of machines and plant is nowadays of fundamental importance. No interventions are carried out on the installed automation technology, instead parallel structures are built up. In the overview below are a number of use cases, which can be implemented in either a brownfield or a greenfield environment.
More on Use Cases
Acquire data reliably
Gain access to valuable data and information in greenfield and brownfield applications
More on u-remote
Pre-process data locally with IoT Edge technology
Reduce data flows and costs, while generating initial insights on the spot
More on u-create/u-control IOT
Transport data reliably via network infrastructure
Provide the IT systems with valuable information from the plant
More on Industrial Ethernet
Creating added value through data analysis
Achieve concrete added value in your use case with data-driven, digital services
More on Industrial Analytics
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