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What IoTFlows does

Learn what IoTFlows measures, which part of it answers your question, and where to start.

IoTFlows is a manufacturing intelligence platform that monitors machines with plug-and-play sensors or custom integrations to any PLC, robot or sensor, and turns the data into utilization, downtime, OEE, production scheduling and maintenance workflows.

Everything you set up lives in an organization, the account that owns your machines, your people and your data. IoTFlows creates it for you, and one sign-in can belong to several. See Switch between organizations.

Start here

What the platform measures

A sensor on the machine decides, second by second, whether the machine is running. The IoTFlows cloud turns that stream into numbers, and the web dashboard and the mobile apps show them live.

How a reading travels: sensor, then Wi-Fi or the 4G/LTE router, then the IoTFlows cloud, then the dashboard and the mobile apps.A diagram of four layers. A machine with a sensor feeds two parallel network paths, Wi-Fi and a 4G/LTE router, which both lead into the IoTFlows cloud, which in turn feeds a dashboard and a mobile app. Labels under each layer read: running or stopped decided here; carries readings, decides nothing; utilization, uptime, downtime, parts, health; live, over MQTT.

What a sensor reads depends on the device. SenseAi reads vibration and acoustics, SenseAi Embedded reads vibration and temperature, and BeamTracker reads a laser beam that a passing part breaks. From those readings, IoTFlows reports:

  • Uptime: the share of time the machine ran, running time divided by running plus stopped time. The Assets page shows the same figure as Utilization.
  • Downtime: the time the machine was stopped, whether or not anyone has given the stop a reason yet.
  • Part counts: units BeamTracker counts directly, or cycles a detection algorithm finds in the SenseAi and SenseAi Embedded trace, once you set up a part and an operation.
  • Health score: a 0 to 100 score per machine from the vibration that SenseAi and SenseAi Embedded read, measured against the machine's baseline.

IoTFlows reports the OEE factors on their own: availability as uptime, performance as the parts gauge, and quality from the scrap your team logs against a job. Every metric has one definition, in How each metric is calculated.

An asset is one machine as IoTFlows tracks it, and a node is the device record paired to that asset. An asset with no node shows no data.

The hardware

IoTFlows sensors beside screens showing the IoTFlows dashboard on a wall display, a laptop, a monitor, and a phoneThe BeamTracker, SenseAi and SenseAi Embedded sensors, and the dashboard they report into on a wall display, laptop, monitor and phone.

Pick a device by what you need to know about a machine, not by what the machine is.

DeviceChoose it when
SenseAiYou monitor general machinery on an ordinary shop floor. It reads vibration and acoustics and mounts with magnets on or near the machine.
SenseAi EmbeddedYou can mount on the motor or spindle itself, or the spot sees coolant, wash-down or dust. It reads vibration and temperature and is IP67 rated.
BeamTrackerYou count units moving along a fixed path, such as a conveyor. Each unit that breaks its laser beam is one count.
IoTFlows 4G/LTE router (IFCR-150)Plant IT will not put devices on the facility network, or the machine is out of Wi-Fi range. It carries traffic and reads nothing.

For data straight from PLCs, robots or third-party sensors, an Enterprise custom integration connects them through the IoTFlows edge device. To match a device to one machine, see Choose for a machine.

The products

Each product has its own section in these docs. Open the one that matches your job.

You do not need Production or the Production Scheduler to know whether machines are running. Uptime, utilization and downtime come from the sensor alone.

Which page answers which question

I want to…Read
Know whether a machine is running right nowMonitor your fleet on the Assets page
Find out where my machine hours goAnalyze downtime with Pareto and trend charts
Count good parts and scrap per shiftOverview: track and schedule production
Sequence jobs across machinesOverview: track and schedule production
Get told when a machine stopsOverview: alerts and integrations
Plan maintenance and act on breakdownsOverview: maintenance management
Know what spare parts are on the shelfOverview: track parts and tools
Decide which sensor fits a machineOverview: IoTFlows hardware
Look up a termGlossary

What you need to get started

  1. A device for each machine you want to watch: SenseAi, SenseAi Embedded or BeamTracker.
  2. A 2.4 GHz Wi-Fi network that reaches the machine, or the IoTFlows 4G/LTE router.
  3. The IoTFlows mobile app on the phone you carry to the machine. Wi-Fi setup runs over Bluetooth from the app.
  4. A sign-in with the Organization Owner or Organization Administrator role. Only those roles can add a machine. See Roles reference.

IoTFlows onboards the hardware for you. Devices arrive registered to your organization, so you never create one. You add each machine as an asset, and IoTFlows pairs the device to it, usually during onboarding. To have a device paired, see Contact support.

With those in place, follow the Quickstart for your first machine.

The platform and pricing

See also