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Software / AIoT TH Cloud

Readings, history and alerts in one place

Factory monitoring with dashboards, history and alerts, plus project-scoped SCADA, factory control and OEE integration.

ENERGY MONITORING / DEMO
Energy demo dashboard with consumption charts and simulated factory data
Actual demo screenshot · Simulated data Open the energy demo →

AIoT TH Cloud

Details and scope

Group measurements by area or asset and choose what your team needs to follow on a dashboard. Available capabilities and quotas depend on the package assigned to each site.

Access
Web browser on desktop, tablet and mobile
Organization
Organization → Site → Area → Asset, linked to gateway data points
Views
Point values, historical charts and connectivity status
Alerts
Configured thresholds and device-offline events, with LINE and email channels as configured
Users
Role-based access within the organization
Subscription
Monthly package per site; current quotas and conditions are listed on the pricing page

Working with site data

Prepare the data before building a dashboard so each reading has a clear meaning.

  • Create the site structure and register the gateway
  • Name data points, set units and link them to assets
  • Compare incoming values with the source equipment
  • Configure dashboards, thresholds and responsible recipients

History and packages

The current offer retains detailed data for 30 days. Aggregated history, additional retention and point quotas depend on the package. Confirm the quotation before starting a project.

  • Lite, Standard, Professional and Enterprise
  • Select around gateway count, data points and required capabilities
  • The demo uses simulated data to demonstrate the interface

Capabilities in development

External APIs, advanced dashboards, flows and AI insights are on the roadmap; they are not all currently available.

  • AI examples in the demo are scripted scenarios
  • ERP/MES and control-system integrations require an agreed project scope
  • Review capabilities and status on the platform page

FACTORY APPLICATIONS

From a site problem to a practical system

Illustrative system designs with equipment, data, responsible teams and project conditions. These are not customer case studies.

DIGITAL TWIN · SIMULATED

Simulated digital twin: site, equipment and events in one view

This simulated digital twin is a model running in your browser. It does not mirror a PLC or customer site and does not control equipment.

Simulated data · No equipment connected
Factory monitoring · 3D DIGITAL TWINDrag to orbit · Scroll or pinch to zoom
Loading 3D map…

Live (simulated) · 08:00:00

Illustrative 3D layout, not surveyed coordinates. Scene labels show values from the simulated twin. Select equipment on the scene or in the twin tree.

Total power62.0 kW
M-02 temperature46.0 °C
M-02 vibration2.10 mm/s

WHAT-IF · SIMULATED

Current plan vs alternative · next 30 simulated minutes

Current plan

M-01 running

Energy over 30 min
31.1 kWh
Peak power
64.7 kW

Alternative

M-01 stopped

Energy over 30 min
17.4 kWh
Peak power
36.2 kW
Total power (kW)

Computed from the browser simulation to compare choices; not a prediction for a real site.

Inspection and command history

Select a scene device, then inspect or control it

Data path

PLC / Meter → Modbus TCP / RS485 → Gateway → MQTT TLS :8883 → Monitor

CCTV uses IP over PoE / NVR independently of LoRaWAN. This scene is illustrative and has no live video.

Operator view

Connect power readings and machine states to site locations for maintenance inspection.

ILLUSTRATIVE SYSTEMUnderstand where and when the factory uses energy
Supplier illustration of energy data collection across factories

Example system: main switchboard, production line and compressed air

Move from a monthly total to area-level meter readings that engineering teams can use to investigate loads and plan improvements.

Suppose a factory wants to monitor three metering points. Start with readings and history for each point. Cost calculations or energy per unit require additional data and agreed formulas; they are not automatically included.

Problems and practical approaches

The monthly bill does not identify high-load areas

Teams investigate several cabinets and may act on the wrong source

Approach · Define main and submeter boundaries, collect readings by point and compare periods with similar production conditions

Manual readings are recorded at different times in separate files

Differences may reflect timing rather than actual load changes

Approach · Read supported meters through a gateway, standardize names, units and timestamps, and compare values with the meter display

An unusual load is discovered only after the shift

The team lacks event-time data to prioritize equipment checks

Approach · Agree site-specific thresholds, enable scoped notifications and assign a person to investigate the equipment

Equipment and components

  • Three compatible meters: main, production line and compressor
  • An industrial gateway with matching interfaces, power and connectivity
  • Cloud points organized by site, area and asset
  • Dashboards, history and notifications within package scope

Data to monitor

  • Power in kW and cumulative energy in kWh
  • Voltage, current and power factor where exposed by the meter
  • Last update time and connectivity status

Data journey

  1. Electricity meters
  2. RS485 / Ethernet
  3. Industrial gateway
  4. AIoT TH Cloud
  5. Dashboard / alerts

Workflow and responsibilities

  1. Define circuit boundaries

    Electrical engineer

    Select comparison points and identify main versus submeter boundaries to avoid double counting

  2. Configure acquisition

    Equipment owner

    Verify registers, units, CT ratios and polling intervals for the actual meter

  3. Validate source readings

    Installer and site team

    Compare the dashboard with the meter at matching times and record discrepancies

  4. Monitor load patterns

    Energy engineer

    Read current values and history alongside operating schedules, not totals alone

  5. Investigate notifications

    Maintenance

    Check equipment and production conditions before deciding on an operational change

  6. Review changes

    Production manager

    Compare similar operating periods and record changes and remaining data gaps

How each factory team benefits

Energy engineering

Identify periods and areas that merit further load investigation

Maintenance

Use timestamped readings when checking notified equipment

Production

Review machine-start schedules and shift changes with supporting data

Management and cost planning

Support improvement proposals with measurements; cost formulas still require separate validation

Who this is suitable for

  • Factories with multiple circuits or buildings that need separate energy readings
  • Engineering teams with readable meters and an owner for source validation
  • Projects starting with critical points before a wider rollout

Acceptance checks

  • Dashboard values match meter units and scaling
  • Stale or missing data and timestamp meaning can be identified
  • Owners can find a known event and test notifications within scope
Discuss your site
ILLUSTRATIVE SYSTEMSee machine states and investigate events with history
Supplier illustration of industrial equipment connected through a gateway

Example system: a packaging line with several stations

Connect PLC or sensor signals so production and maintenance use the same observations before developing performance analytics.

This illustrative line has feeding, filling and packing stations. Start with run/fault states and counters exposed by the PLC. Existing controls are not automatically modified, and an offline gateway is not treated as evidence of a machine stop.

Problems and practical approaches

Staff must walk the floor to see which machines are running

Shift leaders lack a shared view across multiple machines

Approach · Define readable PLC states and display them by machine with update timestamps

Stop records rely on memory or retrospective notes

Investigations begin without reliable times and source signals

Approach · Retain relevant states and readings to identify investigation periods; a person still confirms the actual cause

OEE is requested, but only a run signal is available

A calculated number may not represent production correctly

Approach · Separate acquisition from analytics and define shifts, counts, good units and ideal cycle times before agreeing OEE formulas

Equipment and components

  • PLCs or sensors exposing agreed states
  • A gateway with matching Ethernet, RS485 or digital-input interfaces
  • Cloud assets separated by station
  • Dashboard values and history shared by production and maintenance

Data to monitor

  • Run, stop or fault values defined with the machine owner
  • Production counters, temperature or current where a data source exists
  • Gateway connectivity and update time, separate from machine state

Data journey

  1. PLC / sensor
  2. Readable values or states
  3. Gateway
  4. Cloud assets
  5. Production view

Workflow and responsibilities

  1. Define machine states

    Production and PLC owner

    Agree run, stop and fault meanings, including changeovers and planned stops

  2. Prepare a signal list

    Automation engineer

    Document addresses, types, units and a read method that does not interfere with control

  3. Check actual events

    Installer and operator

    Compare displayed states with machine behavior during an agreed test

  4. Monitor the shift

    Shift leader

    Check states and freshness, using history to select periods for investigation

  5. Investigate on site

    Maintenance

    Inspect the machine and record causes through the factory process rather than assuming them from one signal

  6. Review analytics inputs

    Production engineering

    Validate counts, shifts and formulas before adding downtime or OEE analysis

How each factory team benefits

Shift leaders and production

Coordinate using station-level readings and event timestamps

Maintenance

Use historical signals as evidence rather than relying only on recollection

Automation engineering

Maintain and extend the system using shared point definitions

Factory management

Identify available and missing inputs before investing in performance analytics

Who this is suitable for

  • Factories with readable PLC values or accessible state signals
  • Production and maintenance teams willing to agree state definitions
  • Teams collecting reliable inputs before separately scoped downtime or OEE analytics

Acceptance checks

  • Dashboard states match the agreed machine test cases
  • Machine stops can be distinguished from gateway disconnections
  • Machine owners accept the documented signal definitions
Discuss your site
ILLUSTRATIVE SYSTEMMonitor pumps, tanks and distributed measurement points
Supplier illustration of remote water-level, flow and pump monitoring

Example system: factory water tanks and pump stations

Give teams the latest readings, update times and connectivity context before deciding which location needs an on-site check.

This illustrative site has a tank and pump stations in separate locations. Wired devices may use an industrial gateway. LoRaWAN sensors need a compatible gateway, network server and payload decoder before data reaches the agreed application.

Problems and practical approaches

Staff travel to each point to check level or pressure

Routine visits take time and may miss events between inspections

Approach · Select suitable sensors and connectivity, group readings by station and retain appropriate physical inspection routines

A value remains visible after the device disconnects

Users may mistake an old reading for the current condition

Approach · Display timestamps and connectivity, distinguishing threshold events from missing data

No one is clearly responsible after an alert

Data exists without an investigation and coordination process

Approach · Assign station owners, recipients and checking procedures, then test them with the actual team

Equipment and components

  • Level, pressure or flow sensors selected for the task
  • A wired gateway or LoRaWAN system suited to the sensor network
  • Site-appropriate power, mounting and uplink equipment
  • Cloud station views with scoped history and notifications

Data to monitor

  • Level, pressure, flow or other values exposed by the equipment
  • The last update time for each point
  • Gateway connectivity and data completeness

Data journey

  1. Sensors / meters
  2. Wired or LoRaWAN + network server
  3. Available site uplink
  4. Cloud stations
  5. Operator review

Workflow and responsibilities

  1. Survey installation points

    Utilities and IT

    Identify stations, power, access, antenna positions and connectivity constraints

  2. Connect sensor readings

    Installer

    Verify interfaces or frequency plans and decode values into correct units

  3. Test continuity

    Site team

    Check actual readings, disconnection and recovery under an approved site test plan

  4. Review values and time

    Station operator

    Read values together with update times; do not treat stale values as current evidence

  5. Notify and inspect

    Incident owner

    Identify the event and coordinate an on-site check; use approved procedures for pump control

  6. Review site maintenance

    Utilities manager

    Use history to support inspection planning and record network or equipment issues

How each factory team benefits

Utilities

Prioritize checks using missing-data and measurement context by station

Maintenance

Prepare site visits with relevant readings and timestamps

IT and networking

Separate sensor acquisition issues from uplink or access problems

Multi-site operators

Coordinate using consistent station names and ownership rather than verbal descriptions alone

Who this is suitable for

  • Factories with distributed tanks, pumps or utility systems
  • Sites where suitable power and a data uplink can be provided
  • Teams with assigned recipients and inspection capacity, without replacing safety controls with cloud monitoring

Acceptance checks

  • Readings and units match the actual measurement point
  • Operators can distinguish stale values during disconnection
  • Alert recipients can identify the station and follow the agreed check procedure
Discuss your site

DETAILS & PLANNING

Turn readings into shared operational information

Organize data before building dashboards

Align sites, areas and assets with operational responsibilities. Use consistent point names and engineering units so that teams can interpret charts from different machines without relearning the naming scheme. Review the structure before importing a large number of measurements.

  • Separate sites according to operations and subscriptions
  • Group assets by machine or circuit
  • Check units, timestamps and data sources

Design alerts around a response owner

Every threshold should have an operational reason, a responsible recipient and a verification procedure. A value exceeding its limit is different from a disconnected device. Consider sampling intervals and network behavior when defining conditions to reduce unnecessary notifications.

  • Identify the monitored point and relevant limits
  • Distinguish measurement conditions from connectivity loss
  • Test notification channels and recipient access

Review each system’s scope before opening it or using the example to plan your project.

Questions about this topic

Can the software send control commands?

Phase 1 focuses on reading and monitoring data. Control commands need additional design and scope; a dashboard should not replace site safety controls.

Must every site use the same package?

No. Each site selects a package for its gateway count, points and features. One site’s entitlements do not automatically extend to data from every other site.

Choose hardware and software that work together

Start with your equipment and data points, then define the right site scope.