Industry 4.0, also called “smart factory”, is the current trend of automation and big data exchange in manufacturing technologies. It includes cyber-physical systems, cloud computing, and the internet of things.
Why Is Big Data Important?
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organisations do with the data that matters. Big data can be analysed for insights that lead to better decisions and strategic business moves.
The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyse it to find answers that enable cost reductions, time reductions, new product development, reduced downtime, optimised lowering risk offerings and smarter decision making. When you combine big data with high-powered analytics, you can accomplish business-related tasks such as:
- Determining root causes of failures, issues and defects in near-real time
- Re-calculating entire risk portfolios in minutes
- Detecting fraudulent behaviour before it affects your organisation
The Scope of Industry 4.0
Industry 4.0 covers a broad scope of areas. The various fields it covers include:
- Industry robots
- Automated guided vehicle
- Industrial machinery
- Production performance analysis
- Machine status
- Abnormal diagnosis
- Sensor measurement
Factory Environmental Monitoring
- Electricity monitoring
- Factory waste water
- Energy management
Production Testing Equipment
- Machine vision
- Motion I/O cards
- Computing platform
MES & Production Profile including OEE
- Information between the front end equipment & MES application
- Production Traceability
The Levels of Industry 4.0
The fluid power businesses need a mental leap in terms of Industry 4.0. The industry is stagnated in old process. System operators need to step up and use these modern cost-effective technologies that are already available in the market. The next level of automation to be considered is the cyber-level, then the cognition-level, and finally the configuration-level. The latter uses attributes such as self-configuring for resilience, self-adjusting for variation and self-optimising for a disturbance.
HYDAC can help you implement Industry 4.0 in your hydraulic application. We can put into action remote condition monitoring and self-correction systems, configure everything in advance, and will train you and your team to enjoy the benefits of and be confident in this new technology. Our packages start from a simple integrated data acquisition to fully customised monitoring and support.
See below some areas of our Industry 4.0 program:
- Safety switch points warning and stop are always included
- Measurement technologies (level, temperature, pressure, particle, oil ageing, flow, vibration, etc…)
- Integrated data acquisition
- Predictive analysis
- Remote data access
- Remote condition monitoring software
- HYDAC service custom designed
- Corrective actions
- Full redundant systems for critical applications
Our goal is to put in place a remote condition monitoring system with an implemented self-correcting system in order to invert the curve that leads a system to a catastrophic failure. See graphic below.
Contact us today and find out how we can help you with your Industry 4.0 requirements.