Zakaria Haj Mohamad Industrial IoT
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PLC signals in the cloud, while the line is still running.

Industrial IoT development and PLC monitoring: reading live data from PLC units such as Siemens, moving it through a gateway into cloud dashboards, and wiring machines, sensors and readers into the business systems that record them. Production, downtime and efficiency become visible while the shift is still on.

Book a technical call What I build
Field side
PLC (Siemens) · Sensors · ESP32 · Gateways
Cloud side
Time-series storage · Dashboards · Alerts · APIs
Languages
Türkçe · English · العربية
Response
A straight answer on fit within a day

From the machine to the decision.

This is the cluster that separates a systems architect from a web developer: one end of the integration is a physical machine that will not wait for a retry.

PLC data collection

Reading tags and registers from PLC units on the line, at the rate the process actually changes, without interfering with the control logic that runs it.

Siemens · Tags · Registers

Gateways and edge devices

A gateway between the plant network and the cloud, with local buffering so a dropped connection delays the data instead of losing it.

Buffering · Store-and-forward

Embedded and sensor development

ESP32 and smart sensor firmware for equipment with no data port of its own — scales, readers, access control and counters wired into the software that records them.

ESP32 · Firmware

Monitoring dashboards

Live output, downtime, cycle time and efficiency views built for the people on the floor and the people in the meeting — with alerts when a line stops.

Live · Downtime · OEE

Shop floor into business systems

Production counts feeding stock, planning and reporting, so what the machine made and what the system believes were made are the same number.

Stock · Planning

What the shop floor cannot see.

The machines already know all of this. The problem is that nothing above them does.

Production numbers arrive the next day

Counted by hand at the end of the shift, typed in the morning, and already too late to act on.

Nobody knows why the line stopped

Downtime is recorded as a reason someone remembers, not as a timestamp the machine produced.

PLC data monitoring with no path to the cloud

The data exists on the panel and stops there, because the plant network was never meant to leave the building.

Stock and production disagree

What was made and what was recorded drift apart, and the correction is a stock count nobody wants to do.

Equipment with no data port

Scales, readers and older machines that only show a number on a display nobody is logging.

A dashboard that nobody trusts

Built on manually entered numbers, so it disagrees with the floor and gets ignored within a month.

Industrial systems already delivered.

DORTEK · dortek.com.tr

Signals from the production line now travel through a gateway into the cloud, where they become the dashboards production and stock decisions are made from.

Read the case study →

Edip Saat · edipsaat.com

Machine-read input replacing manual entry, so the record is created where the physical event happens.

Machine input · Validation · Records

Questions people ask.

Do you touch the control logic?

No. The reading side is kept strictly separate from the logic that runs the machine — data is read, never written back into the process. That boundary is what makes it safe to add monitoring to a line that is already producing.

What if the internet connection drops?

The gateway buffers locally and forwards when the link returns, so an outage becomes a delay rather than a hole in the data. Dashboards show the gap explicitly instead of drawing a straight line through it.

Is this separate from your software work?

It is the same work with a different endpoint. The value is rarely the dashboard on its own — it is production data reaching the stock, planning and reporting systems, which is an integration problem before it is an electronics one.

Have a complex system to build or scale?

Tell me what you are trying to build, automate or scale. You get a straight answer on fit within a day — and a name to call if it is not me.

LinkedIn
linkedin.com/in/zakaria-haj-mohamad-87188b11b
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Z. Haj Mohamad Industrial IoT Sheet 01 / 07 Overview