A fictional equipment business. A worked example of Dataplicity.About this example
SiloSentry Explore Dataplicity

Know what’s in the silo.
Plan the next move.

Grain-level monitoring for the people planning the next load. See what remains, spot a low level and know when a reading needs checking.

SiloSentry combines a monitor at the grain store with a customer application for the people running it.

An example product built around Dataplicity.

Illustration of three grain silos, a monitor and their connection to a customer application
The equipment is only the beginning of the job.
01

Check before you make the trip.

Open the silo’s latest reported level and history. See which reading is fresh enough to plan around.

02

Spot what needs attention.

A low level and a missing reading call for different decisions. Keep the warning and the connection state visible.

03

Give support a place to start.

Know the site, the silo and the monitor you’re asking about. The team can investigate the equipment behind that reading.

A useful answer when you open the app.

What’s left? Is it running low? Can I trust this reading?

Follow North Silo at Ashton Mill. Switch between a normal report, a low-level warning, a stale sensor reading and a lost connection to see how the customer’s decision changes.

The last known value stays clearly marked when the monitor stops reporting. The person planning a load can see when they need a fresh measurement.

See how SiloSentry prepares this customer view
SiloSentryAshton Mill

Your grain store

North Silo

Reporting

Wheat · Monitor SS-AM-01

Current volume

68.2 m³

120 m³ capacitySample reading · 09:42
Above your low-level threshold of 25 m³.
Volume historyLast 24 hours
Low threshold · 25 m³ Yesterday 09:42

Illustrative customer view. These controls change sample data on this page only.

There’s a whole business behind that reading.

Someone has to build the monitor, get it working at the mill, hand it over and answer the next call.

Meet the small SiloSentry team doing all of it. Follow the same monitor from a question on the bench to an installation and a field fault.

Follow SiloSentry behind the scenes
  1. BuildWork through the sensor interface.
  2. InstallLeave the next person a supportable installation.
  3. Hand overGive the customer their own useful application.
  4. SupportFind out why the reading stopped changing.
  5. ImproveTest the change before sending it further.

Picture this with the equipment you make.

The grain silo gives the story a setting. The engineering questions, site handovers, customer expectations and support calls will be familiar to many equipment businesses.