How should big data be collected, handled and processed? According to a new white paper by PMMI Business Intelligence, there are a few areas that should be considered for data acquisition:
Infrastructure investment
Existing sensing capabilities, networks, data acquisition computers and local servers should all be considered. The level of investment varies, as some companies are ready to support a “digital path” strategy while others need to replace or retrofit large parts of the existing infrastructure. Upgrading bandwidth on networks, installation of additional sensing technology, or investment in local or remote data storage (local servers or access to 3rd party infrastructure) are common expenses.
Data collection
Inclusion of sensing on all assets can be extensive and quickly reach a point of diminishing returns. Asset prioritization can help to identify the impact of downtime on equipment in the production processes vs. the cost of adding sensing and networking and the ability to process and work with the additional data.
Data aggregation and analytics
Changing how data is collected and how frequently can be a challenge. Changing from collecting data once every quarter to every 5 minutes will create a larger volume of data for aggregation and processing, at a faster rate. Additionally, new sensors introduce new measurement parameters and increase the variety of data to be collected and analyzed.
Software tools
Many end-users of IIoT technologies indicated that development of the user interface (UI) was challenging.
• UI’s must be easy to use for all staff, not just IT professionals.
• The UI must be able to convert information to helpful insights that guide workers to the actions they need to take .
• Solutions must be adjustable to different screen formats.
For more details about the Big Data in the packaging and processing industry, download the FREE white paper here.
Source: PMMI Business Intelligence “How to Utilize Big Data to Enhance Manufacturing Processes”
