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How IoT Improves Industrial Cleaning Processes

Written by Geicos Group
on 8 October, 2025

Industrial cleaning is essential for ensuring quality, safety, and operational continuity in production. Today, thanks to the Internet of Things (IoT), this process can also become intelligent: sensors and monitoring systems transform machinery and parts washers into tools capable of communicating, recording, and optimizing every phase.

The integration of IoT in industrial cleaning is more of a management issue than a technological one: it allows companies to monitor parameters, performance and maintenance in real time, making cleaning a traceable and improvable process..

 

IoT at the service of industrial management

The Internet of Things refers to a set of physical devices equipped with sensors and connectivity that collect and transmit data. In the industrial sector, this technology allows for the continuous monitoring of parameters such as temperature, pressure, consumption, filter status, or fluid levels, creating an ecosystem in which each machine communicates with the company's management system..

According to the IoT Observatory at the Polytechnic University of Milan, over 70% of Italian manufacturing companies have launched digitalization projects based on data collection and machinery interconnection. This is the foundation of Industry 4.0, which aims to transform information into operational efficiency..

 

Concrete advantages of IoT in industrial cleaning

Integrating connectivity into cleaning processes means moving from manual management to data-driven management. Among the main benefits:

  • Complete traceability of washing cycles, useful for quality audits and certifications;
  • Continuous monitoring of process parameters to detect anomalies before they become faults;
  • Reduction of downtime and extraordinary maintenance;
  • Optimization of energy, water, and detergent consumption, with automatic cycle adjustment;
  • Greater operator safety, with systems that report anomalies or threshold exceedances..

A Frost & Sullivan study confirms that companies that adopt IoT solutions for predictive maintenance can reduce costs by up to 30% and increase plant availability by 10-15%.

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Data and sensors: the basis of process control

In industrial cleaning, sensors and actuators collect information on factors such as:

  • Washing bath temperature and pressure;
  • Detergent conductivity or concentration;
  • Contact time and number of cycles performed;
  • Filter status and replacement requirements;
  • Liquid level and safety alarms.

All this data is sent to a supervisory system or management software, where it can be displayed in intuitive dashboards and integrated into production reports.

 

Practical examples of application in industrial cleaning

Here, IoT demonstrates its true utility, transforming everyday activities into measurable, controllable, and optimizable processes. These examples show how IoT doesn't just record data, but actually helps improve management decisions..

Predictive maintenance and automatic alerts

Sensors installed in the parts washer provide early warning of filter clogging or deterioration of the washing liquor. The system generates an alert before the problem occurs, avoiding unplanned downtime.

Energy and consumption optimization

Wash cycle data shows how much energy and water are used at different times or by load type. This allows companies to schedule operations during periods of lower energy costs or adjust parameters to reduce waste.

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Traceability and regulatory compliance

Each cycle is automatically recorded: duration, temperature, detergent used, and responsible operator. In the event of inspections or ISO 9001 or 45001 audits, the data is always available and certifiable.

Centralized management of multiple systems

In companies with multiple facilities, a single platform can display the status of each machine in real time: number of daily washes, maintenance reports, and average consumption. This is a huge advantage for those managing complex fleets.

Integration with enterprise systems

Parts washers can communicate with maintenance management systems (CMMS), quality systems or production software, creating a single information chain.

 

From technology to management value

The true revolution of IoT lies in the resources it makes available: ultimately, in the ability to transform data into action. Thanks to connectivity, plant management can:

  • View comparative reports across lines and departments;
  • Identify consumption trends or repetitive inefficiencies;
  • Plan maintenance based on actual usage, not just working hours;
  • Define realistic performance indicators (KPIs) based on objective data;

From a sustainability perspective, this means better use of resources, reduced waste, and extended the life of restrooms and components. IoT also allows you to create a historical record of processes, useful for improving standards and internal training. In short, all the phases and variables related to industrial cleaning become a precise and timely process, over which you have full control.

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How to integrate IoT technology into your processes

The Internet of Things is changing the way industrial cleaning is managed. The combination of intelligent machines and shared data allows companies to shift from a reactive to a predictive approach, improving productivity, safety, and sustainability.

At Geicos, we develop customized parts washers designed to easily integrate with IoT systems and enterprise monitoring platforms. Each machine can be equipped with smart sensors and communication interfaces to monitor key parameters and send data in real time.

During installation, our team can provide specific training to staff to ensure the correct and safe use of parts washers, even in connected plants. The goal: to combine technology and expertise to achieve cleaner, more efficient, and more traceable processes.

Discover the full range of industrial parts washers that can be set up for integration with IoT systems in the products section of the website.