TECHNOLOGY SYSTEM

Start with operating requirements, then connect sensing, control, models, and data into an operable engineering system.

A technology architecture is more than a list of devices, protocols, and models. It defines how tasks are understood, dispatched, sensed, executed, recovered, and recorded in a form that can be validated and traced.

Page framework

Define what the system must understand, how engineering domains divide responsibility and connect, and how the result is validated and operated.

FIELD DEFINITION

Define the operating context before selecting technology

Warehousing, inspection, and manufacturing scenarios share one premise: hardware, software, and models must use the same operating facts and scope.

INPUT / 01

Processes and targets

Model materials, carriers, locations, stations, vehicles, parts, defects, and operations, including when each target enters, changes, and leaves the process.

Produces: process flow, master data and quality criteria
INPUT / 02

Tasks and cycle time

Define triggers, priorities, concurrency, peak load, buffers, cycle times, and capacity assumptions rather than designing only for an ideal sequence.

Produces: task rules, capacity assumptions and performance limits
INPUT / 03

Space and equipment

Confirm maps, routes, fields of view, working distance, fixtures, axes and installed equipment so every action has a feasible position.

Produces: layout constraints, equipment scope and action conditions
INPUT / 04

Environment and safety

Record lighting, reflection, vibration, speed, network, power, heat, collision, isolation and fire constraints because they change sensing and recovery design.

Produces: environmental baseline, interlocks and risk register
INPUT / 05

Systems and data

Map ERP, MES, TMS, PLC, and shop-floor systems, including master data, identifiers, interface timing, access controls, and retention.

Produces: interface list, identity rules and data ownership
INPUT / 06

Exceptions and ownership

Define owners and recovery procedures for offline states, timeouts, congestion, incorrect materials, false detections, faults, and human intervention.

Produces: exception matrix, recovery workflow and acceptance responsibilities

ENGINEERING DOMAINS

Five engineering domains work together in one operating workflow

They are not independent product lines. Each domain receives a defined input, returns a verifiable output and respects adjacent constraints.

Key questions
  • Process routes and states
  • Defect criteria and quality gates
  • Human hand-off and ownership
Key questions
  • FOV, resolution and working distance
  • Lighting, surface and motion
  • Trigger, synchronisation and repeatability
Key questions
  • Sequences and state machines
  • Device integration and interlocks
  • Safety, cycle time and recovery
Key questions
  • Rules versus AI
  • Samples, thresholds and versions
  • Accuracy, false positives and review
Key questions
  • Master data and identity
  • Interface timing and consistency
  • Access, retention and traceability

SYSTEM CONTRACTS

Four system contracts make interfaces dependable

A protocol only transports data. Coordination depends on a shared definition of command, state, result and recovery.

01COMMAND

Command contract

Define who may create, change, cancel and resequence work and which prerequisites must be true.

Field listWork ID / target / priority / prerequisite / cancellation
02STATE

State contract

Align online, mode, occupancy, progress and availability so upstream systems know when work can continue.

Field listHeartbeat / mode / position / occupancy / progress / timestamp
03RESULT

Result contract

Return completion, OK/NG, values, images and material links, with an acknowledgement that the result was received.

Field listCompletion / decision / value / evidence / binding / acknowledgement
04EXCEPTION

Exception contract

Define severity, timeout, retry, offline fallback, human takeover and reset so a fault has a complete recovery path.

Field listSeverity / cause / impact / retry / human action / recovery

FIELD LOOPS

Two operational loops show how the system works end to end

Logistics and inspection serve different purposes, but both need a complete requirement–execution–feedback–response–record cycle.

LOOP / 01

Logistics loop

A production or warehouse need becomes a dispatchable task. Control coordinates robots, conveyors, and peripherals; status, completion, and exceptions return to inventory and operating records.

  1. 01StepPlan and transport need
  2. 02StepWMS business task
  3. 03StepWCS task breakdown
  4. 04StepRCS / PLC / equipment
  5. 05StepStatus, result and exception
  6. 06StepInventory and operating history
Closed-loop result

Every movement can show why it started, where it is, how it ended, and who is responsible for recovery.

LOOP / 02

Inspection loop

Defect criteria and sample bounds determine acquisition and decision. Results drive PLC alarms, sorting or stops; human review returns with images, parameters and model versions.

  1. 01StepDefect and sample bounds
  2. 02StepFixed imaging / sensing
  3. 03StepRule / measure / model
  4. 04StepPLC alarm, sort or stop
  5. 05StepHuman review and response
  6. 06StepImage, parameter, result and version
Closed-loop result

Every decision can explain its basis, condition, action and reproducibility.

DELIVERY & VALIDATION

From feasibility to sustained operation

The project path can be organised into six stages. Each stage needs stronger engineering evidence; a sample or demo result does not become a production commitment by itself.

01BASELINE

Current baseline

Review processes, equipment, systems, samples, and on-site constraints; identify any missing prerequisites.

Stage evidenceCurrent flow / issue list / sample register
02DESIGN

Solution and boundary

Define architecture, device and interface scope, customer prerequisites, human roles and acceptance terms.

Stage evidenceArchitecture / I/O and interface table / SOW or RACI
03PROVE

Technical proof

Test key assumptions through samples, POC or logic simulation with conditions, data versions and open issues recorded.

Stage evidenceTest plan / data version / result and limitation
04INTEGRATE

Engineering integration

Integrate software, hardware, upstream systems, PLC and equipment across normal and exceptional flows.

Stage evidenceFAT or SIT / exception cases / interface logs
05ACCEPT

On-site acceptance

Run SAT, UAT, or a pilot under agreed conditions to verify functions, cycle time, safety, recovery, and traceability.

Stage evidenceAcceptance record / safety check / pilot and rollback plan
06OPERATE

Operational handover

Deliver monitoring, backup, recovery, training, maintenance and change control for daily operation.

Stage evidenceManual / training / backup, recovery and change records

Evidence matures by stage: working assumption → controlled validation → integration record → on-site acceptance → operating history.

ENGINEERING CONDITIONS

Public statements retain engineering conditions

This page explains capability structure; it does not replace a project specification. These boundaries prevent a single case or test from becoming a universal claim.

01

Equipment and protocols

Names indicate possible integration positions, not standard compatibility or partner status.

02

Performance and accuracy

Speed, accuracy, detection and recovery values require an object, sample, environment, configuration and acceptance method.

03

Data and cases

Drawings, on-site images, test results, and operating data are used only with permission; findings from one case are not generalised.

NEXT STEP

Start by defining the operational challenge.

Share the current process, constraints and intended outcome. We will assess the smallest verifiable starting scope.

Discuss your challenge