PLC Simulator
Open training dataset

Industrial automation training benchmarks.

An anonymized, reproducible view of how learners perform in deterministic Modbus, PID, instrumentation and multimeter challenges. No self-reported scores and no personal data.

Saved attempts

2,032

Pass rate

57.7%

Average score

76.0/100

Current aggregate

Performance by lab

Updated October 26, 2026

LabAttemptsPass rateAverageTry it
multimeter55972.3%89.1/100Open lab
instrumentation44229.0%53.2/100Open lab
pid42287.2%91.1/100Open lab
modbus32682.2%91.5/100Open lab
alarm-flood-triage2021.0%43.7/100Open lab
mqtt-topic-design432.3%42.0/100Open lab
network-zones224.5%74.5/100Open lab
mechatronic-cell150.0%37.3/100Open lab

Privacy threshold

Challenge rows appear only after at least 5 saved attempts. User names, emails, project payloads and IP addresses are never included.

Server authority

The backend recomputes every score from bounded inputs. A browser cannot submit its own pass state, score or PID performance metrics.

Reusable license

The aggregates are available as CSV and JSON under CC BY 4.0. Cite and link to this methodology page when reusing the dataset.

Methodology

What the numbers mean

Population. Authenticated attempts saved after a learner runs a supported public industrial lab. Anonymous runs are deliberately excluded because they cannot be deduplicated or attached to durable training evidence.

Pass rate. The percentage of attempts meeting the challenge’s fixed acceptance criteria. PID scores are continuous and also require stability and final-error limits; protocol and measurement exercises use explicit checks.

Limitations. This is product-usage data, not a representative survey of every automation learner. Challenge mix, returning learners and curriculum changes can shift the aggregate. Raw personal attempts are not published.

Reuse and teach

Open assets designed to earn a citation.

Use the manual and LMS roster as teaching starting points, or cite the benchmark in research and resource roundups. Keep the attribution link so readers can inspect the current method and data.

Embeddable chart

Paste this attributed iframe into an educator resource, article or research page. The embed stays current and links readers to the method.

Preview embed

Competency and practice field guide

Industrial automation training benchmarks: practice plan

Direct answer

The reader can convert a broad competency into observable tasks, scoring criteria, changed cases and evidence that supports development decisions.

Written for training managers, instructors and employers defining practical standards for PLC, electrical, instrumentation, motor, network and troubleshooting skills.

an adult learner explaining PLC and machine evidence to an assessor in a vocational automation laboratory while studying automation competency benchmarks and assessment evidence
System map / 02

NODE 01observable

Scope

Role and level, work context, prerequisite safety, task, initial state, independence, time boundary, observable outcome, rubric, evidence and transfer requirement.

NODE 02observable

Signal path

Job analysis through competency statement, representative task, controlled attempt, observable result, explanation, assessor decision and remediation.

NODE 03observable

Baseline practice

One normal task completed independently and defended against a changed condition with consistent scoring.

NODE 04observable

Edge cases

Ambiguous requirement, accessibility need, partial success, coaching, unfamiliar interface, hidden fault, time pressure and retest.

NODE 05observable

Fault practice

A benchmark, task, rubric, assessor, evidence, fairness, identity, transfer or physical-practice gap.

NODE 06observable

Transfer to the job

Benchmark results calibrated between assessors and combined with supervised equipment evidence and workplace performance.

Answer surface / 07

What is an automation training benchmark?

It is a defined performance standard connecting a job-relevant task, conditions, observable outcome, scoring rule and evidence—not just a list of topics.

How should PLC practical skills be scored?

Score system behavior, reasoning, safe decisions, diagnosis and recovery against declared criteria, with accommodations and physical competence assessed separately.