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EC.W - the smart condition sensor for energy chains
Condition monitoring with EC.W: monitoring gliding e-chain systems in real time
Tech up
- Condition monitoring for gliding e-chain® applications
- Direct connection via potential-free contacts to plant control system (PLC)
- Suitable for harsh, dark, or dirty environments
- In many cases, no additional cable routing in the e-chain® is necessary
- Comprehensive connectivity for integration into predictive maintenance concept with i.Cee
Cost down
- 80% cost reduction with a direct connection to plant control system
- Maintenance cost reduction thanks to predictive maintenance recommendations
- Avoidance of unplanned downtime thanks to condition-based alarm messages
Proof
- If there is a direct connection to the PLC customer control system, the switch cabinet module can be eliminated
- Ongoing test series in the industry's largest test laboratory for moving power transmission systems
Sustainability
- Minimal material requirements for the integrated sensor
- Condition-based maintenance avoids unnecessary or premature chain replacement
IoT expert Richard Habering explains the use and benefits of the new low-cost i.Sense EC.W service life sensor:
i.Sense EC.P - successful implementation of intelligent push/pull force monitoring
Integration into your network environment
As the new EC.W sensor is part of the smart plastics i.Sense condition-monitoring system, all of its data can also be evaluated in the i.Cee control cabinet module. This data can be used to digitally control the system's alarm and escalation management.
The i.Cee module can be integrated into predictive maintenance concepts in a number of ways, from preventive service management, which schedules regular maintenance depending on use, to location-independent fault management, which immediately reports any unforeseen change via various mobile channels. All information is collated in a modern dashboard, online or offline in the local network, depending on the customer's requirements.
smart plastics general overview
Insight into the entire igus Industry 4.0 product portfolio
Table of contents for this brochure:
- Condition monitoring (i.Sense)
- Condition monitoring systems
- Advantages of condition monitoring systems
- Condition monitoring application examples
- Predictive maintenance (i.Cee)
- Systems for predictive maintenance
- Advantages of predictive maintenance systems
- Application examples for predictive maintenance
- Data flow in modern smart factory concepts
Consulting
I look forward to answering your questions
Hennlich doo Beograd+381 11 63 098 17Write e-mail
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