Process Plant AI

AI-Powered Process Optimisation for STP, ETP & Chemical Plants

Build process models from plant data, evaluate model solutions, and derive optimised operating parameters and setpoints with compliance monitoring before controller action.

Process Model Based
Optimised Setpoints
Compliance Monitoring
Process Plant AI platform overview — financial monitoring, process monitoring and process optimisation dashboards

Integrated Process Plant AI Platform

Process model development and optimised setpoint generation seamlessly integrated with the complete Process Plant AI ecosystem.

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PROCESS PLANT AI

Monitor. Optimize. Improve.

Process Plant AI focuses on three key objectives: Financial Monitoring, Process Monitoring, and Process Optimization — bringing real-time insights, instant issue detection, and intelligent alarms together in an easy-to-use, intuitive interface.

Financial Monitoring

Power Cost, Chemical Cost, Operating Cost, and Current Cost Trend tracking for comprehensive financial visibility across plant operations.

Process Monitoring

Real-time process parameter monitoring, issue detection, intelligent alarms, and operational visibility with compliance integration.

Process Optimization

Model-based optimisation delivering optimised operating parameters and setpoints with compliance validation before controller deployment.

STP, ETP & Chemical Plants

Process Plant AI Plant Optimiser specialises in process model-based optimisation for sewage treatment, effluent treatment, and chemical manufacturing facilities.

STP Plants

Municipal sewage treatment with energy-efficient aeration control and sludge management that maintains effluent quality through process model optimisation.

ETP Plants

Industrial effluent treatment with variable load handling, optimised chemical dosing and aeration for high-COD wastewater while maintaining compliance.

Chemical Plants

Process optimisation for chemical manufacturing facilities with precise parameter control and setpoint management for consistent product quality.

Process Model Development

Build accurate process models from plant data to understand system behaviour and identify optimisation opportunities.

Operating Parameter Optimisation

Derive optimised operating parameters from process models including dosing rates, aeration levels, flow rates and pump operation schedules.

Compliance Monitoring

Validate optimised setpoints against regulatory constraints and process limits before deployment to controllers.

Operational Cost Visibility

Monitor and track key financial metrics across your plant operations with real-time cost trending and analysis.

Financial Monitoring Overview - Illustrative Data

Power Cost
Monitor Consumption
Track power usage patterns
Chemical Cost
Track Usage
Monitor chemical consumption
Operating Cost
Analyse Trends
Overall operational costs
Cost Trend
Visualise Changes
Real-time trend analysis

Process Model-Based Optimisation

A comprehensive process modelling platform that builds accurate models from plant data, evaluates optimisation scenarios, and delivers verified operating parameters.

Process Model Development

Build accurate process models from plant data that capture system behaviour, mass balance, and operational dynamics for optimisation analysis.

Real-time Data Integration

Streams live sensor, PLC and lab data into process models on a continuous basis for accurate real-time optimisation.

Optimised Operating Parameters

Derive optimised operating conditions including dosing rates, aeration levels, flow rates and pump operation schedules from process model solutions.

Optimised Setpoints

Convert optimised operating parameters into precise setpoints ready for deployment to controllers, with validation against operational constraints.

Process Monitoring & Alerts

Continuous monitoring of process parameters with intelligent alerts for process deviations and equipment anomalies.

Compliance Monitoring

Validate optimised setpoints against regulatory constraints and operational limits before controller deployment for reliable compliance.

Process Model-Based Optimization Workflow

A systematic approach to process optimization: from plant data through process modeling to optimised setpoints with compliance validation.

01. Process Data

Live sensor, SCADA & lab data collection

02. Process Model

Build accurate process model from data

03. Model Solutions

Evaluate different model scenarios

04. Operating Parameters

Derive optimised operating conditions

05. Optimised Setpoints

Convert to precise setpoint values

06. Compliance Monitoring

Validate against regulatory limits

07. Controllers

Deploy to DCS/PLC systems

08. Plant Operation

Optimised plant performance

Continuous feedback loop — plant data updates the process model
1

Data Collection

Gather comprehensive process data from sensors, SCADA systems, and laboratory measurements for model development.

2

Process Modeling

Build accurate process models that capture system behaviour, mass balance, and operational dynamics.

3

Model Analysis

Evaluate different model scenarios and operational strategies to identify optimization opportunities.

4

Parameter Optimization

Generate optimised operating parameters including dosing rates, flow rates, and aeration levels from model solutions.

5

Setpoint Generation

Convert optimised parameters into precise setpoints ready for deployment to plant control systems.

6

Compliance Validation

Verify all setpoints against regulatory constraints and operational limits before deployment.

7

Controller Integration

Deploy validated setpoints to DCS/PLC controllers with proper integration and monitoring protocols.

8

Plant Operation

Monitor optimised plant performance and collect feedback data for continuous model improvement.

Optimise Your Plant

Experience process model-based optimisation for your STP, ETP or chemical plant with optimised operating parameters and setpoints.

A module of Process Plant AI · Plant Optimiser v1.0 · Secure and Private