ETE stations with bio-reactor membrane technology need continuous monitoring of their operating parameters. Bridgemeter a significant increase in production and efficiency.
Decentralized Operation Model
- MBR treatment stations require constant management by the nature of the membrane inlaid process
- Decentralized operation with significant distances
- Need for 1 operator per station in operation
- Supervision and engineering vehicle for every 3 stations
- Punctual data collection of the engineering team
- Difficulty in viewing the operation
- Inconsistency in the production level
- Constant Unpreamed Stops
- Production Reports for SLA
SOLUTION: Industrial IIOT
All operation is monitored in real time
The monitoring system, records and sends notifications to the responsible operators for the proper measures and corrections of the cycle. The hydrometer measurements report reflects the reduction or increase in water productivity treated daily.
With information from the manufacturer, intelligent cross conditions were created to interpolate the crossing of various parameters replacing nonexistent sensors in the market. As an example, the crossing of the pump and transmembrane pressure (TMP) chain measurement, the system learns and warns ranges corresponding to: clean membrane, partially inlaid membrane and embedded membrane. The maximum allowed pressure is also constantly monitored
All PLC parameters are also monitored.
Results
All operation is monitored in real time
- Average increase of 30% of production
- 27% reduction of unchecked stops
- TMP pressure permanence in 95% of measurements
- Daily ETE production record after use of the system
- Team reduction and 40% operating structure
- Issuance of Automatic Production Reports and SLA
- Monitoring Presence Team Supervision.
Monitoring brought an unprecedented view of the effluent treatment plant, since previously there was only a “photo” of visits made by the operator. With the industrial IoT system, it was possible to set up a “film” with live broadcast of readings made during the process of treatment and intelligence of alarms and notifications. Particularly in industry, even minimal productivity increases are able to generate significant improvement in the results with very low implementation costs, such as this case.
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