No communication between Airleader control and compressors.

Check the wiring. Check the bus addresses on communication modules. If the communication is bridged over the Ethernet network (FL-COM Server) check and increase the response time (Code 111111).

Can we have more than 2 FU Compressors on one Airleader control?

The Airleader Mastermodul / CN can handle up to 4 FU compressors with additional software. Contact our technician for more information and costs.

How can I compensate for pressure differences?

With Airleader Mastermodul / CN it is possible to handle up to 3 pressure sensors, mounted on different places inside the system, to get an average of all sensors as pressure value to control the Airleader. For every pressure sensor, a divergence value can be set. If the pressure exceeded the divergence value, this sensor will not be included in the calculation.

Actual pressure on system and FU differ. Can i get the system pressure for the FU compressor?

With Airleader Mastermodul / CN it is possible to send the system pressure to the FU compressors. The system pressure can get from the AO connector of the communication module as 4-20mA signal. Offsets can be programmed in the controller.

New compressor installed but not visible in OPC Server.

With such changes, it is necessary to restart the OPC server, because the OPC Server reads it’s configuration only on startup. Please disconnect all client connections before restarting the OPC Server.

Webbrowser shows other website after installation of WebServer.

The cause for this issue is the security setting of Windows 7, which does not allow script-based installation of windows services. For the installation, it is necessary to turn off the UAC (user account control). In some cases, you have to reboot your machine. After turning off the UAC, the installation process should run correctly.

Panel shows up communiation error

This issue can have many causes. First, you should check the availability of the control in the network through a PING. This can be done in the “Diagnostics” area. If the PING is successful, it should be checked whether the IP address of the controller may have been assigned more than once. If this is not the case, the issue can be triggered by the internal memory card of the controller. For that, the SD card should be initialized. The procedure for initializing is described in the operating manual.

Airleader doesn’t store the values sending from WebServer?

Key switch “Prog” must be set to “Off”. Have you entered the correct WebServer Plus code?

Why is the web server accessible only on the server machine?

Maybe the incoming requests are blocked by the servers firewall. Make sure that the firewall is passing incoming traffic on port 80.

Old software version after updating

Before installing a new software version, you have to deinstall the previous version. Take care that you remember the controllers ip-adress and the data path. As from Version 3.000 or higher, there is an online updater included, which can be used to update the system on the fly. For the online update, an internet connection must be available.

How To Achieve Long Term Energy Efficiency With Compressed Air Management Systems?

Are you looking for ways to cut down on energy consumption in your compressed air system? A compressed air management system might be the key to significant savings. With the rise of data analytics, you can now assess historical performance, spot trends, and uncover opportunities to reduce energy use. Let’s dive into how these systems work and why they are a game changer for energy efficiency.

Understanding the Power of Data

A compressed air management system works by collecting real-time and historical data from your compressed air equipment. This data is analyzed to evaluate system performance, monitor energy consumption, and identify inefficiencies. With a wealth of data at your fingertips, your system helps you make informed decisions that directly impact energy savings.

Spotting Trends for Long-Term Energy Efficiency

One of the key benefits of data analytics in compressed air systems is its ability to identify trends over time. By comparing data across different time frames—daily, monthly, or yearly—your system can highlight patterns, such as peak demand times or underperforming components. With these insights, you can adjust operation schedules, optimize system settings, and even perform predictive maintenance. According to a report by Compressed Air Best Practices, companies using data-driven systems have saved up to 30% on energy costs.

Historical Performance Analysis: The Key to Energy Savings

Assessing historical performance gives you a detailed picture of how your system has been operating. By tracking factors like pressure levels, energy usage, and load cycles, you can pinpoint inefficient processes or equipment that may be wasting energy. Analyzing this data lets you proactively address inefficiencies, reducing unnecessary energy consumption and enhancing the overall performance of your industrial compressed air system design.

Identifying Energy-Saving Opportunities

Data analytics can uncover hidden opportunities for energy savings that you might not otherwise notice. For instance, the system can detect if air leaks, pressure drops, or system overloading are increasing energy use. These issues, if addressed early, can lead to substantial reductions in your energy bill. You might also find that optimizing the pressure set points in your system can save significant energy over time.

Key Benefits of Leveraging Data for Energy Savings

Benefit	How It Helps	Example/Impact
Energy Efficiency Monitoring	Tracks system performance over time	Reduce energy consumption by up to 30%
Predictive Maintenance	Identifies when equipment needs service before failure	Prevents costly breakdowns
Pressure Optimization	Adjusts pressure set points for efficiency	Improves energy savings by 15%
Leak Detection	Spots air leaks and system inefficiencies	Cuts waste and boosts performance

Maximizing Energy Savings Over Time

The true power of a compressed air management system lies in its ability to make incremental improvements that add up over time. As you continuously monitor and refine your compressed air system, you’ll see a steady reduction in energy costs. With data-backed decisions, your business can achieve long-term energy savings, improve equipment lifespan, and ensure a more sustainable operation.

Wrapping Up

As technology continues to evolve, the role of data analytics in industrial compressed air system design will only grow. Integrating advanced sensors and predictive models will make systems even smarter and more efficient. With the insights provided by these systems, you can stay ahead of the curve, minimizing costs while maximizing productivity. Airleader brings forth for you, the latest technologically advanced compressor management system that leverages these data analytics to ensure that your carbon footprint is reduced significantly. If you’re looking to reduce your energy footprint, investing in our data-driven solutions is your way forward.