Solution

Industrial Data & AI Integration

Pragmatic AI built on PLC/SCADA data: anomaly detection, smart alarms, predictive maintenance, energy analytics and AI-assisted remote diagnostics.

Engineering scene showing the equipment, control layer and site environment for this solution.

Pain points

SCADA and PLC data is collected but rarely turned into decisions
Faults are handled after they happen, not predicted
Alarms are noisy: too many false alarms, real anomalies missed
Energy use and operating efficiency cannot be analyzed across sites

Meshox solution - scope of work

Industrial data acquisition and historianData platform and visualizationAnomaly detection and smart alarmsPredictive maintenance modelsEnergy and efficiency analyticsAI-assisted remote diagnosticsModel deployment and continuous tuning

Technical approach

1. Data foundation first

AI is only as good as its data. We start by acquiring clean, time-aligned data from PLC/DCS/SCADA and instruments into a historian, with a defined point list and sampling strategy — not by deploying models on noisy or incomplete data.

2. Start with rules and anomaly detection

Before any heavy model, measurable value comes from threshold/logic rules plus statistical anomaly detection on key signals — this cuts false alarms and surfaces real anomalies, and it is explainable to operators.

3. Predictive maintenance where it pays back

For critical rotating or high-cost equipment, we build condition and trend models to flag degradation earlier, so maintenance moves from reactive to planned. We target equipment where unplanned downtime is genuinely expensive — not everything.

4. Keep humans in the loop

Models produce alerts and suggestions; operators and engineers stay in control. Every AI output is traceable to the data behind it, and conventional interlocks and safety logic remain authoritative.

Implementation scenarios

Predictive maintenance for compressors, pumps and conveyors

Smart-alarm filtering on tank farm / plant SCADA

Energy optimization across pump stations and auxiliary systems

AI-assisted remote diagnosis for distributed sites

System architecture

Field Devices

Sensors

Instruments

Motors

Valves

Meters

Control Execution

PLC

DCS

VFD / Soft Starter

Control Panel

Supervisory

HMI

SCADA

Alarm

Remote O&M

Data Logging

Remote Monitoring

Reports

Applicable industries

Port Machinery & Bulk Material HandlingPower EnergyWater Treatment & Municipal UtilitiesPetrochemical Storage & Process ControlEnvironmental & Building ControlIndustrial Manufacturing

FAQ

Do we need to replace our control system to use AI?

No. AI is added as a data and analytics layer on top of your existing PLC/DCS/SCADA. Control and safety logic stay where they are; we acquire data and run analytics alongside.

Is the AI a black box?

We favor explainable approaches and keep humans in the loop. Alerts trace back to the underlying signals so engineers can verify them, rather than acting on opaque scores.

Have a control system, retrofit or integration project?

Start with a project evaluation. An engineer will review your requirements and propose a fitting control solution.

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