Read Trends -> Correlate Batch -> Flag Risk -> Suggest Action -> Operator Acts

Effluent and ZLD Excursion Early-Warning Agent

This agent watches your effluent plant inlet and outlet trends and warns when the numbers are drifting toward a consent breach, before the biological stage takes a shock load. It correlates the drift with the batch log so you know which batch on the floor is the likely source. It hands the operator a suggested corrective action and a plain explanation of why.

The Problem

The bugs died on Tuesday. The bad batch drained on Monday.

A high COD slug from a solvent recovery batch hit the equalisation tank overnight. By the time the outlet COD climbed past the consent limit, the biological stage was already stressed and the MLSS was crashing. The operator saw it at the outlet, hours after the load arrived, with no easy way to trace it back to the batch that caused it. Recovery took a week and the outlet exceedance was reportable.

What Changes

Catch the slug at the inlet, name the batch, act before the bugs die.

The agent tracks inlet pH, COD, BOD, TDS, and flow against their normal range and flags an upward trend early. It lines the trend up with the batch schedule to point at the likely source batch and suggests a corrective action, for example divert to the buffer tank or step up dilution. Every flag comes with a plain explanation so the operator can decide fast.

Humans stay in control: the agent flags the trend and names the likely batch, but your ETP operator decides whether to divert, dilute, or hold, and makes the move.

HOW THE AGENT WORKS

TRIGGERLLMAPIDECISIONACTIONWAIT

TRIGGERMonitoring data arrivesFires when a new set of inlet and outlet readings lands.

APIFetch inlet and outlet readingsPulls pH, COD, BOD, TDS, and flow from the monitoring sheet or SCADA export.

APIFetch batch schedule and dosingPulls the batch log and dosing rates to correlate shock loads.

LLMDetect trend and correlate batchScores each parameter against normal and matches drift to the likely source batch.

DECISIONTrending toward breach?

LLMDraft warning and actionWrites the early-warning flag with the trend, the source batch, and a suggested move.

WAITHold for operator reviewPauses so the ETP operator can read the warning and decide.

ACTIONSend warning to operatorPosts the warning to the operator's channel.

The agent does not open a valve or divert flow. Your ETP operator does. The agent removes the guesswork about what is coming and where it came from.

HOW TO BUILD IT

Three levels of depth. Pick the one that matches where you are.

For the ops person who needs to understand what's involved and brief their team.

Effluent Monitoring & Batch LogWhere readings and batches live

The AgentWorkflow engine + LLM

ETP OperatorReviews warnings and acts

WHAT YOUR TEAM PROVIDES ONCE

Trend watch - inlet and outlet quality moving out of range
Batch correlation - the batch most likely behind the load
Early warning - a flag before the outlet limit is hit
Suggested action - divert, dilute, or hold, in plain words
Explanation - why the agent thinks a breach is coming

What happens day-to-day: the agent reads each new set of inlet and outlet numbers, compares them to normal, and checks the batch log for a matching source. When something is trending wrong it warns the operator with a suggested move. The operator decides and acts; the agent never touches the plant.

For the IT person or technical lead who needs to scope the integration.

INQUIRY SOURCES

Effluent inlet and outlet monitoring sheets or SCADA export

Plant batch schedule (read access)

Chemical dosing logs

WORKFLOW ENGINE (N8N)

New monitoring reading triggers the run

Pull inlet, outlet, batch, and dosing data

Align timestamps across readings and batches

Score the trend against the normal range

Correlate the batch and draft the action

Send only when breach risk is rising

Push the warning to the operator channel

CONNECTS TO

Effluent monitoring (SCADA export / LIMS / Excel like Wonderware / Ignition)Read: pH, COD, BOD, TDS, flow. Write: none

Batch schedule (MES / ERP / spreadsheet like SAP / AVEVA)Read: batch id, product, timing. Write: none

Dosing logs (PLC export / operator sheet)Read: dosing rates and setpoints. Write: none

Notification channel (Email / Microsoft Teams / Slack)Read: none. Write: early-warning flags

WITHOUT PMS API

Without a live feed, the operator exports the monitoring sheet and batch log to CSV on a schedule. The agent still finds the trend and the likely batch, but the warning lags the last export and some steps stay manual.

WITH PMS API

With a live SCADA or LIMS feed, the agent sees each reading as it lands and can warn while the slug is still in the equalisation tank. Best experience.

For the person who wants to build this agent step by step. Each node below maps to an n8n workflow node.

TRIGGERNode 1

Schedule Trigger - runs on each monitoring interval

Cron set to run every 30 minutes during operations

Output: A run event with the interval timestamp

APINode 2

HTTP Request - pulls readings, batches, and dosing

GET the monitoring, batch, and dosing endpoints or read the SCADA CSV export

Output: Raw inlet and outlet readings with batch and dosing records

APINode 3

Function - scores each parameter trend

Compare each reading to its normal band and compute the rate of change

Output: A structured object of parameter trends and rates

LLMNode 4

LLM - correlates the batch and drafts the action

Send the trends, dosing, and batch log to the model with the correlation prompt

Output: { warning, parameter, trend, rate, likely_batch, reason, suggested_action, risk }

You are an effluent compliance assistant. Given the inlet and outlet readings, the dosing log, and the batch schedule below, detect any parameter trending toward its consent limit, name the most likely source batch, and suggest one corrective action. Readings: {readings}. Dosing: {dosing}. Batches: {batches}. Limits: {limits}. Respond ONLY with valid JSON. No explanation.

INPUT

{"readings": [{"time": "02:00", "point": "inlet", "cod": 1800}, {"time": "04:00", "point": "inlet", "cod": 3200}], "dosing": [], "batches": [{"batch_id": "SR-42", "product": "solvent recovery", "drain_time": "01:30"}], "limits": {"outlet_cod": 250}}

OUTPUT

{"warning": true, "parameter": "inlet_cod", "trend": "rising", "rate": "78 percent over 2 hours", "likely_batch": "SR-42", "reason": "solvent recovery batch drained at 01:30 before the COD climb", "suggested_action": "divert inlet to the buffer tank and increase dilution", "risk": "high"}

DECISIONNode 5

IF - routes only rising breach risk

Pass when the warning flag is true and risk is medium or high

Output: A filtered warning for the operator

ACTIONNode 6

Send Message - posts the warning to the operator

Format the warning and post to the operator email or Teams channel

Output: A message in the operator channel

MVP vs Advanced — Where To Start

MVP — START HERE

Start with inlet COD and pH from one exported monitoring sheet
Set a normal band per parameter and flag the upward trend
Join a simple batch list by drain time to name the likely source
Send the warning with one suggested action to the operator
Have the operator confirm the move before anything changes
Log each warning and what the operator did

ADVANCED — ADD LATER

=+ Connect a live SCADA or LIMS feed for real-time warnings
=+ Add outlet parameters and the biological stage MLSS trend
=+ Learn per-product signatures to sharpen batch correlation
=+ Pull dosing setpoints to suggest a dosing change directly
=+ Add a buffer-tank capacity check before suggesting a divert
=+ Escalate to the shift lead when risk stays high past a set time

Full Video Walkthrough Coming Soon

Watch the agent spot a rising inlet COD trend, tie it to a solvent batch, and suggest a diversion.

Everything on this page is free to learn.

When you're ready to build — do it yourself or bring us in.

Book a call to scope this

OTHER AGENTS IN LEASING & MARKETING

Environmental Returns and Consent Agent

Drafts pollution-control returns and flags exceedances and data gaps before you submit

Hazardous Waste Manifest and Storage-Clock Agent

Tracks waste mass balance and drum storage age before a limit is breached

Scrubber and Stack Performance Watchdog

Predicts a stack exceedance from scrubber parameters before the reading goes over

Frequently asked questions

Effluent and ZLD Excursion Early-Warning Agent is an AI agent that warns of an effluent consent breach and names the batch behind it.

The bugs died on Tuesday. The bad batch drained on Monday. The Effluent and ZLD Excursion Early-Warning Agent addresses this: warns of an effluent consent breach and names the batch behind it.

No. Your team stays in control. The agent does not open a valve or divert flow. Your ETP operator does. The agent removes the guesswork about what is coming and where it came from.

This is 1 of 4 agents in Environment & Effluent. → · Explore all 15 departments →