TRANSPARENT MONITORING
Track energy consumption, chemical usage, and inventory levels based on actual data.
X-IRIS Insights
Operational intelligence for modern water treatment plants.
Practical articles on Web-SCADA, AIoT, AI Predictor, compliance data and cost optimization.
X-IRIS | ENERGY & CHEMICAL OPTIMIZATION
CONTROL COSTS. OPTIMIZE WITH DATA.
Assess energy and chemical records against matching treatment periods and measurable outcomes.
BENEFITS
DON’T JUST KNOW HOW MUCH HAS BEEN USED. KNOW HOW RESOURCES ARE BEING USED.
DEVIATION DETECTION
Compare actual values with benchmarks or operating thresholds to identify points that require review.
OPTIMIZATION SUPPORT
Track before-and-after performance and provide a basis for operational adjustment decisions.
FEATURES
MEASURE. COMPARE. OPTIMIZE WITH CONFIDENCE.
X-IRIS turns energy and chemical data from end-of-period totals into information that can be continuously monitored, compared, and evaluated, helping teams better understand resource-use efficiency at each stage of operation.
CHEMICAL & INVENTORY MANAGEMENT
Inventory monitoring: View the remaining quantity of each chemical from a single interface.
Manage multiple chemicals: Monitor H₂SO₄, NaOH, Chlorine, Polymer, and other chemicals in use.
Track stock-in and stock-out: Record inventory changes over the selected time period.
Quick retrieval: Easily check chemical status before planning usage.
AI-ENABLED CHEMICAL USAGE EFFICIENCY
Dosing monitoring: Track actual chemical consumption by day and by chemical type.
Benchmark comparison: View actual usage against reference thresholds.
Before-and-after assessment: Compare the baseline period with the AI-enabled period when sufficient data is available.
Track AI effectiveness: Observe changes and usage trends after optimization.
REAL-TIME ENERGY MONITORING
Real-time power:
Monitor equipment power during operation.
Consumption over time:
Track electricity usage by hour and throughout the day.
Equipment-level monitoring:
Select individual equipment or equipment groups to evaluate usage levels.
Compare with operating thresholds:
View actual values against power ratings or reference thresholds.
EVALUATE AI-ENABLED ENERGY SAVINGS PERFORMANCE
Compare maximum vs. actual levels: Visually track power differences at each point in time.
Evaluate operating ratio: See the percentage at which equipment is operating relative to the reference threshold.
Track savings differences: Observe the portion of power that does not need to be used compared with the preset operating level.
Time-based evaluation: Track performance hour by hour to identify periods with optimization potential
Before implementation
Records to prepare for this solution
Assess energy and chemical records against matching treatment periods and measurable outcomes.
Costs:Meters, stock records and prices.
Treatment:Flow, influent and output quality.
Context:Modes, maintenance and process changes.
Baseline:Comparable periods and missing evidence.
QUY TRÌNH TRIỂN KHAI
Bốn bước triển khai
Bắt đầu từ hệ thống hiện tại, mở rộng theo nhu cầu
01
Agree scope
Choose a defined operating question, owners and acceptance criteria.
02
Check records
Bring cost records, treatment volume, quality data and the equipment groups being considered for improvement.
03
Pilot and review
Test source quality, permissions and representative tasks in the agreed scope.
04
Accept and hand over
Compare outcomes with the criteria, record open issues and agree support and expansion.
READY FOR END-TO-END DIGITAL TRANSFORMATION?
Discuss a scope that can be tested
Questions before implementation
Where should implementation start?
Assess energy and chemical records against matching treatment periods and measurable outcomes.
Must existing equipment be replaced?
Replacement is not assumed. Check actual models, protocols, permissions and source quality. Document any necessary additions before agreeing the trial.
How are results accepted?
Agree measurable checks before the pilot. Retain source comparisons, user task results and open issues; define who confirms the outcome.
How are schedule and cost agreed?
They depend on sources, equipment, functions and intervention requirements. The assessment defines trial scope, responsibilities, cost items and acceptance evidence.
Operational knowledge
Prepare before implementation
Practical guides to data, equipment and workflows for smart wastewater operations.
- Wastewater operating costs: measure energy, chemicals and investment resultsAssessing wastewater operating costs means connecting energy, chemicals and work records to treatment volume and quality.Read the guide
- Aeration energy assessment: data and controlled wastewater trialsAeration assessment must consider energy use and treatment stability together.Read the guide
- Wastewater chemical use: records and an optimization review checklistChemical purchasing, issue from stores and actual process use are different records.Read the guide
- Forecasting pH, COD, TSS and DO: sources and evaluation criteriapH, COD, TSS and DO records do not always represent the same kind of measurement.Read the guide
- Data quality before wastewater AI: a practical review checklistData quality affects how reliably a wastewater model can be evaluated and how operators interpret its output.Read the guide
- Web-SCADA investment ROI: assumptions, costs and measured benefitsAn investment calculation is useful when its assumptions can be checked.Read the guide
