SYSTEM 05 — AUTOMATION

Sense. Record. Understand. Decide. Control. Verify.

Automation is the nervous system of a Sustainable Oasis. Sensors make conditions visible, software organizes the data and controlled equipment can respond within clearly defined operating limits.

The objective is not maximum automation. The objective is useful automation that reduces waste, protects resources and keeps people informed and in control.

SENSE RECORD UNDERSTAND DECIDE CONTROL VERIFY
CONTROL ROOM Systems Available for Automation
CONNECTED DATA
ENERGY — kWh generated
WATER — litres stored
FOOD — kg produced
RECOVERY — litres reused

These values come from the current Control Room dataset. Dedicated automation telemetry will be added as real sensors and controllers are connected.

AUTOMATION ARCHITECTURE

Six layers. Human oversight throughout.

A reliable automation system separates observation, data, decision logic and physical control so each layer can be tested independently.

01

Sensors

Measure physical conditions such as voltage, current, temperature, humidity, water level and flow.

02

Data

Store readings with units, timestamps and source information.

03

Logic

Compare measurements with defined operating rules and thresholds.

04

Controls

Operate pumps, valves, relays, fans, lights and other equipment where appropriate.

05

Alerts

Surface abnormal conditions instead of hiding them inside automation.

06

Human Override

Keep critical systems understandable and manually controllable when practical.

SENSOR LAYER

Make invisible conditions visible.

Sensors should be added because a measurement improves a real decision, not simply because a sensor is available.

ENERGY

Voltage & Current

Measure electrical input, output, storage and recovery through SO-EMS instrumentation.

Explore SO-EMS →
WATER

Level & Flow

Track tank levels, pump activity, incoming flow and consumption.

Water System →
ENVIRONMENT

Temperature & Humidity

Observe building and growing conditions over time.

FOOD

Growing Conditions

Monitor moisture, temperature and other relevant variables when they improve production decisions.

Food System →
AUTOMATION TELEMETRY Future Sensor Network
PLANNED
TEMPERATURE — sensor not connected
HUMIDITY — sensor not connected
WATER LEVEL — sensor not connected
FLOW — sensor not connected

No live sensor values are claimed here. These fields are placeholders for future measured telemetry.

DATA PIPELINE

From physical measurement to useful information.

SENSOR CONTROLLER DATA CONTROL ROOM DECISION

CONTROL LOGIC

Automate clear rules before complex intelligence.

The first useful automation rules can be simple: minimum tank levels, maximum temperatures, scheduled irrigation or battery-protection thresholds.

Simple rules are easier to test, explain and override. More advanced control can be added only when the data proves it is useful.

EXAMPLE LOGIC Water Tank Protection
EXAMPLE
INPUT LEVEL tank measurement
RULE MIN safe threshold
ACTION STOP protect pump
VERIFY ✓ confirm result

CONTROL HARDWARE

Sensors observe. Actuators change the physical system.

Anything capable of changing a physical system should be controlled within appropriate electrical, mechanical and operational safeguards.

PUMP

Pumps

Move water for storage, irrigation, filtration and recirculation.

VALVE

Valves

Direct or isolate fluid flow through defined system paths.

RELAY

Electrical Switching

Control suitable electrical loads through properly rated switching equipment.

FAN

Ventilation

Adjust airflow when temperature, humidity or indoor conditions require it.

HUMAN CONTROL

Automation should assist people, not hide the system.

Critical infrastructure should remain understandable. A user should be able to see what the system is doing, why it acted and what condition caused the action.

Where practical, critical equipment should retain a safe manual operating path if automation is unavailable.

AUTOMATION + ENERGY

Observe supply, storage and demand.

Energy automation can eventually help monitor battery levels, generation, loads and system limits.

SO-EMS remains the measurement foundation: automation should act on measured values, not assumed energy.

ENERGY DATA Current Control Room State
—
GENERATED — kWh
CONSUMED — kWh
STORED — kWh

AUTOMATION + WATER

Know when water should move — and when it should not.

Water automation can eventually manage pumps, valves, tank levels, filtration cycles and irrigation schedules.

Fail-safe behaviour is especially important where a failed sensor or pump could empty a tank or damage equipment.

Water System
WATER DATA Current Control Room State
—
COLLECTED — litres
STORED — litres
USED — litres

AUTOMATION + FOOD

Automate repetitive tasks without losing observation.

Growing systems may benefit from measured irrigation, environmental monitoring and timed equipment operation. Automation should still make it easy to inspect plants and verify real biological results.

WATER

Irrigation

Schedule or conditionally control irrigation based on real growing needs.

TEMP

Climate

Monitor temperature and humidity in protected growing spaces.

LIGHT

Lighting

Operate supplemental lighting only when it creates a justified production benefit.

DATA

Production Record

Compare automated growing conditions with measured harvest results.

Food System →

AUTOMATION + SHELTER

Monitor the building as part of the infrastructure.

TEMP

Temperature

Compare indoor and outdoor conditions over time.

RH

Humidity

Detect conditions that may affect comfort, crops or building materials.

AIR

Ventilation

Operate appropriate airflow equipment within defined thresholds.

LOAD

Building Demand

Connect environmental conditions with the energy required to maintain them.

Shelter System →

DIGITAL CONTROL ROOM

One interface for many physical systems.

The long-term role of the Control Room is to receive information from calculators, manual observations and real sensor networks.

Every value should retain its source and classification: DEMO, ESTIMATED or MEASURED.

CONTROL PRINCIPLES

Reliable automation fails safely.

Automated infrastructure should be designed around predictable failure modes, clear limits and observable behaviour.

01

Observable

The user should know what the system is doing.

02

Explainable

Control rules should have understandable reasons.

03

Fail-Safe

Loss of a sensor or controller should not create an unnecessarily dangerous state.

04

Overrideable

Critical systems should preserve appropriate human control.

05

Testable

New automation rules should be validated before controlling critical equipment.

AUTOMATION DEVELOPMENT

Build intelligence one verified layer at a time.

MANUAL MEASURED MONITORED ASSISTED AUTOMATED
PHASE 1

Manual

Understand the system before automating it.

PHASE 2

Instrument

Add sensors and collect reliable measurements.

PHASE 3

Alert

Let software identify conditions while humans decide what action to take.

PHASE 4

Control

Automate proven actions with appropriate safeguards.

COMPLETE OASIS

Automation connects the systems without replacing them.

Strong physical infrastructure comes first. Automation makes that infrastructure easier to observe, coordinate and improve.

AUTOMATION → UNDERSTANDING

Don't automate what we do not understand. Measure it. Learn it. Then automate what proves useful.