PLC Simulator
Food processing automation training

Train the sequences behind clean, consistent food production

Practise CIP, batching, fermentation temperature, bottling and packaging controls against dynamic process and machine models in a browser-based PLC lab.

Food-process training model

CIP Sequence Controller

01

CIP rinse, wash and verification sequencing

02

Batch and fermentation temperature dynamics

03

Bottling, label, case-pack and pallet flow

04

Fault, alarm and recovery cases across process and packaging

Physics running · PLC scan active · grader armed

Process-to-packaging coverage

Cleaning, batching, temperature and product flow

The scenario path connects sanitary-process sequences to downstream packaging controls so learners see how recipes, timers, sensors, faults and line state interact.

CIP sequencing

Build rinse, wash and verification phases with permissives, timers and controlled fault recovery.

Batch process control

Coordinate fill, heat, mix, hold and discharge from explicit process state and sensor feedback.

Temperature behavior

Work with fermentation and PID temperature dynamics instead of static on/off indicators.

Packaging integration

Extend into bottling, labelling, case packing and palletising with counts, timing and reject logic.

Scenario library

Follow the product from process vessel to packed case.

Browse all scenarios
Flagship

CIP Sequence Controller

Commission a complete clean-in-place cycle with timed stages, permissives and fault handling.

CIPsanitary process
Open scenario

Batch Mixer

Control fill, heat, agitation and discharge as an explicit batch state machine.

batchrecipe pattern
Open scenario

Fermentation Temperature

Control a slow thermal process with analog feedback and disturbance behavior.

temperaturefermentation
Open scenario

Brew Schedule Sequencer

Coordinate a multi-phase temperature and timing schedule across a production batch.

multi-phaseschedule
Open scenario

Bottling Line

Coordinate filling, capping and product movement across linked stations.

bottlingline
Open scenario

Case Packer

Group products, count cases and recover the packing cycle after abnormal conditions.

packagingcounts
Open scenario

Training outcomes

Evidence beyond course completion

Assignments can grade normal operation, unsafe demands, boundary conditions and recovery behavior against the same machine model.

  • Program a controlled CIP sequence and recovery path
  • Coordinate batch state with live temperature and level feedback
  • Diagnose process-to-packaging sequence holds
  • Assess technicians across both process and machine-control patterns

Scope, stated plainly

These are generic food-process control simulations. They do not validate hygienic design, HACCP plans, recipes, allergen controls, thermal lethality, cleaning chemistry or compliance with a plant’s food-safety management system.

Team training details

Pilot with your standards

Build a food-automation pilot from CIP through packaging

Use the existing labs immediately, then map assignments and pass criteria to the equipment, failure modes and competencies your team owns.