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ConnectorIO
Warsaw, Poland
B
1-10 Employees
2018
Key takeaway
The company offers the ConnectorIO UpTime Monitoring system, which is designed for monitoring the operating time of industrial equipment. This solution provides immediate alerts on malfunctions or stoppages, enabling the detection of anomalies and ensuring efficient condition monitoring.
Reference
Product
Device Uptime Monitoring | Connectorio.com
connectorIO UpTime MonitoringA system for monitoring the operating time of industrial equipment and for immediate alerts on malfunctions or stoppages.ConnectorIO UpTimeDevice MonitoringIt is a simplified solution for supervision over industrial devices. Monitoring of the device's operating time allows detection of anomalies and phases when the output signal is below or…
Elmodis
Krakow, Poland
B
11-50 Employees
2015
Key takeaway
Elmodis specializes in condition monitoring through its innovative Industrial Internet of Things (IIoT) solutions that utilize Artificial Intelligence and Machine Learning. Their approach involves real-time measurement of current and voltage from electric motors, combined with process parameters, to deliver detailed insights into machine performance and health.
Reference
Product
Solution – Elmodis
Metronic AKP
Krakow, Poland
B
11-50 Employees
-
Key takeaway
Metronic AKP specializes in designing and manufacturing devices for condition monitoring, particularly for measuring flow, temperature, and other physical quantities in industrial processes. Their products are utilized in various industrial plants, including power plants and refineries, and they offer software for device configuration and visualization of measurement results.
Reference
Product
Services - Metronic
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COMEX S A
Poland
B
11-50 Employees
2009
Key takeaway
COMEX is a UPS manufacturer with over 30 years of experience in the power supply industry, offering maintenance services that are essential for condition monitoring.
Reference
Service
Maintenance services
ReliaSol (Reliability Solutions)
Krakow, Poland
B
11-50 Employees
2014
Key takeaway
ReliaSol specializes in AI-based solutions for predictive and prescriptive maintenance, enhancing condition monitoring through their advanced RSIMS platform. Their deep learning algorithms provide clients with insights on equipment maintenance and upgrades, ultimately reducing downtime and increasing operational efficiency.
Reference
Core business
Predictive Maintenance Platform. AI-based solutions | ReliaSol
Predictive maintenance is the future of modern industry, and we are building it today at ReliaSol! Check out our solutions based on Artificial Intelligence (AI).
Laboratory LRM-NDE
Zabierzów, Poland
B
11-50 Employees
-
Key takeaway
LRM-NDE Laboratory specializes in condition monitoring through its LRM XXI Diagnostic System and MRT device, which are used for comprehensive inspection of wire ropes and other critical components. Their advanced MRT data analysis services enable "remote" inspections, enhancing safety and efficiency in various industries.
Reference
Service
MRT Data Analysis Services - LRM-NDE Laboratory
Thanks to the implementation of the MRT data analysis services it is possible to carry out "remote" wire rope inspections.
FitMech
Środa Wielkopolska, Poland
B
11-50 Employees
2017
Key takeaway
The company utilizes the FitMech platform for condition monitoring by automating data acquisition related to machine performance, including work times, production cycles, and downtime. This digital tool enhances the efficiency of production processes, aligning with Industry 4.0 standards.
Reference
Core business
Digital tool of LEAN 4.0
Industry 4.0 platform for automatic acquisition, analysis and visualization of production data
VIMS Verified Industrial Maintenance Solutions
Krakow, Poland
B
11-50 Employees
2016
Key takeaway
The company, RDI Technologies, offers a continuous condition monitoring solution for machines through its Iris CM™ system, which utilizes advanced Motion Amplification® technology. This system enables non-contact monitoring, allowing for the early detection of failures and supporting predictive maintenance efforts.
Reference
Product
Ciągłe monitorowanie maszyn metodą bezkontaktową | Iris CM™ | VIMS
Ciągłe monitorowanie maszyn dzięki Iris CM™ firmy RDI Technologies. Jest to rozwiązanie, które kontroluje maszyny za pomocą trzech kamer, w dłuższym okresie czasu.
Albeco Łożyska
Plewiska, Poland
B
51-100 Employees
1989
Key takeaway
The company highlights its commitment to specialized machine condition monitoring through the SKF Microlog dBX, a state-of-the-art vibration analyzer that facilitates intelligent diagnostics. Their services include comprehensive machine diagnostics, which help maintenance departments quickly address failures, ultimately reducing downtime and associated costs.
Reference
Service
Albeco.com.pl - the best maintenance store - Services
Machine downtime over the weekend? Spare parts from Albeco needed immediately?
Active View
Warsaw, Poland
B
1-10 Employees
2020
Key takeaway
The company provides a comprehensive solution for condition monitoring through its Active View system, which includes hardware products, a mobile application, and an online platform. This ecosystem enables real-time monitoring across various industries, enhancing efficiency, safety, and asset management.
Reference
Core business
Active View - Centralized online monitoring platform.
The Active View is a lone worker monitoring system that consists of two hardware products, a mobile application and an online platform.
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
OndoSense apex radar sensor (E)
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Product
edbic
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Product
edpem
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Service
OperAID
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Thickness measurement of metal products
steel, metal, aluminium, aluminum, copper
Our radar sensor solution determines the thickness and the thickness profile of steel plates, steel strips or steel slabs (up to 1600 °C hot) with an accuracy of up to ±10 µm on the roller conveyor. Thanks to robust radar technology, sophisticated signal processing and intelligent radar algorithms, OndoSense radar sensors achieve this high level of precision in thickness measurement even under the difficult production conditions of the steel industry with smoke, steam, dirt, vibrations, fire and extreme temperatures.
Use case
Width measurement of metal products
metal, steel, copper, aluminium, aluminum
The OndoSense radar sensor solution determines the width of steel plates, steel strips or steel slabs (up to 1600 °C hot) with an accuracy of up to ±300 µm. Thanks to robust radar technology, sophisticated signal processing and smart radar algorithms, our radar sensors offer this high precision in width measurement even in the extreme production environments of the metal and steel industry with steam, dirt, smoke, fire, vibrations and extreme temperatures.
Use case
Molten metal level measurement
metal, steel, copper, aluminium, aluminum
With the OndoSense radar sensors, the fill level of liquid steel or aluminum can be measured contact-free with sub-millimeter accuracy, even at metal temperatures of up to 1600 degrees Celsius. Dust, steam, smoke, vibrations and strong heat radiation have no influence on the high precision and reliability of the radar-based molten metal level monitoring. Active cooling of the level radar is usually not necessary.
Use case
Continuous monitoring
Manufacturing
The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.
Use case
IoT gateway and Industry 4.0 application
Industry 4.0, Manufacturing
The challenge: BURKHARDT+WEBER is renowned for its expertise in large machining centres. Headquartered in Reutlingen, Germany, the company has a global presence and supplies its products to customers around the world who place a premium on quality. For 130 years, BURKHARDT+WEBER has focused on developing state-of-the-art production solutions for the demanding machining of steel, cast iron and titanium components. The development of these machining centres is the collaborative work of interdisciplinary teams, and all essential components, as well as in-house developments, are manufactured within the company. The compacer IoT solution, built on the edbic platform, is planned for future integration into BURKHARDT+WEBER machining centres. The installation of the compacer IoT gateway enables data collection from the machine's control system. In the long term, BURKHARDT+WEBER machines will offer a wide range of data that can be examined in real time to provide a detailed overview of the machine's condition and efficiency on a dashboard. The solution: An IoT hub will process the collected data, enabling a variety of assessments and ensuring that the operator is kept informed at all times. With machines connected to the compactor solution, condition monitoring is possible, paving the way for the implementation of predictive maintenance. With this approach, BURKHARDT+WEBER enables its customers to successfully implement upcoming digital transformation projects within their production processes.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Continuous monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Remote Monitoring & Control
Remote Asset Monitoring, Remote Control, IIOT, IOT, Data Logging, Remote Terminal Unit, Process Control, Machine Control
Cellcon series of IoT Controllers are targeted towards Remote Monitoring & Control applications across various industries. They integrate HMI, Control, Data Logging & IOT Functionality and ideal for Asset Monitoring, Remote Control, Remote Data Acquisition and Logging applications. We provide complete Firmware and Cloud Application Development support for this product.
Use case
Thickness measurement of metal products
steel, metal, aluminium, aluminum, copper
Our radar sensor solution determines the thickness and the thickness profile of steel plates, steel strips or steel slabs (up to 1600 °C hot) with an accuracy of up to ±10 µm on the roller conveyor. Thanks to robust radar technology, sophisticated signal processing and intelligent radar algorithms, OndoSense radar sensors achieve this high level of precision in thickness measurement even under the difficult production conditions of the steel industry with smoke, steam, dirt, vibrations, fire and extreme temperatures.
When exploring the Condition Monitoring industry in Poland, several key considerations come into play. First, understanding the regulatory framework is essential, as compliance with both European Union directives and local regulations can impact operations. The industry is witnessing growth due to increasing investments in industrial automation and maintenance practices, leading to a rising demand for advanced condition monitoring technologies. However, challenges such as the need for skilled personnel and initial investment costs can hinder market entry for new companies. Opportunities abound as industries like manufacturing, energy, and transportation are increasingly adopting predictive maintenance strategies to enhance operational efficiency and reduce downtime. Environmental concerns also play a significant role, as companies must align with sustainability goals, promoting eco-friendly practices within their operations. The competitive landscape includes both established firms and emerging startups, which are innovating to meet market demands. Additionally, the global market relevance of Poland as a manufacturing hub offers companies the chance to tap into international markets, leveraging its strategic location in Europe. Ultimately, potential investors and businesses should conduct thorough market research and consider these factors to navigate the evolving Condition Monitoring landscape in Poland effectively.
Some interesting numbers and facts about your company results for Condition Monitoring
Country with most fitting companies | Poland |
Amount of fitting manufacturers | 23 |
Amount of suitable service providers | 22 |
Average amount of employees | 11-50 |
Oldest suiting company | 1989 |
Youngest suiting company | 2020 |
Some interesting questions that has been asked about the results you have just received for Condition Monitoring
What are related technologies to Condition Monitoring?
Based on our calculations related technologies to Condition Monitoring are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Condition Monitoring?
The most represented industries which are working in Condition Monitoring are IT, Software and Services, Other, Manufacturing, Automation, Electronics and Electrical engineering
How does ensun find these Condition Monitoring Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.