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
Manufacturing IntelligenceTECHNOLOGY 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.
Define what the system must understand, how engineering domains divide responsibility and connect, and how the result is validated and operated.
FIELD DEFINITION
Warehousing, inspection, and manufacturing scenarios share one premise: hardware, software, and models must use the same operating facts and scope.
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 criteriaDefine 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 limitsConfirm 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 conditionsRecord 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 registerMap 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 ownershipDefine owners and recovery procedures for offline states, timeouts, congestion, incorrect materials, false detections, faults, and human intervention.
Produces: exception matrix, recovery workflow and acceptance responsibilitiesENGINEERING DOMAINS
They are not independent product lines. Each domain receives a defined input, returns a verifiable output and respects adjacent constraints.
SYSTEM CONTRACTS
A protocol only transports data. Coordination depends on a shared definition of command, state, result and recovery.
Define who may create, change, cancel and resequence work and which prerequisites must be true.
Field listWork ID / target / priority / prerequisite / cancellationAlign online, mode, occupancy, progress and availability so upstream systems know when work can continue.
Field listHeartbeat / mode / position / occupancy / progress / timestampReturn completion, OK/NG, values, images and material links, with an acknowledgement that the result was received.
Field listCompletion / decision / value / evidence / binding / acknowledgementDefine severity, timeout, retry, offline fallback, human takeover and reset so a fault has a complete recovery path.
Field listSeverity / cause / impact / retry / human action / recoveryFIELD LOOPS
Logistics and inspection serve different purposes, but both need a complete requirement–execution–feedback–response–record cycle.
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.
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.
DELIVERY & VALIDATION
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.
Review processes, equipment, systems, samples, and on-site constraints; identify any missing prerequisites.
Define architecture, device and interface scope, customer prerequisites, human roles and acceptance terms.
Test key assumptions through samples, POC or logic simulation with conditions, data versions and open issues recorded.
Integrate software, hardware, upstream systems, PLC and equipment across normal and exceptional flows.
Run SAT, UAT, or a pilot under agreed conditions to verify functions, cycle time, safety, recovery, and traceability.
Deliver monitoring, backup, recovery, training, maintenance and change control for daily operation.
Evidence matures by stage: working assumption → controlled validation → integration record → on-site acceptance → operating history.
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.
Names indicate possible integration positions, not standard compatibility or partner status.
Speed, accuracy, detection and recovery values require an object, sample, environment, configuration and acceptance method.
Drawings, on-site images, test results, and operating data are used only with permission; findings from one case are not generalised.
Share the current process, constraints and intended outcome. We will assess the smallest verifiable starting scope.