Cavfinder Product

CavFinder team has designed a monitoring portable kit which can be installed on the surface of the facilities non-intrusively. By means of machine learning (ML) algorithms, the onboard supervisory system reports the presence of bubbles. That the kit is connected to the cloud and gathers relative information is carried out using onboard AI engine which results in the calculation of the probability of the cavitation.

As bubbles produced in the liquid in low pressure areas burst, generated waves inflict severe damages to the facilities.  These damages are considered to be inevitable. However, what CavFinder team has developed using artificial intelligence (AI) technology offers enormous help, since it proposes a predictive solution to this problem.

Our Functionalities

CavFinder’s best qualities

CavFinder detects cavitation quickly and accurately, allowing for faster response time and cost savings. It also offers real-time system monitoring, alerting operators to any performance changes. Last but not least, CavFinder is incredibly easy to use and install, making it an excellent option for any application.

A predictive method for detecting potential problems

CavFinder’s predictive features enable it to identify potential issues before they become problems, helping to maintain an efficient and reliable facility. Its predictive capabilities make it a valuable tool for preventative maintenance and ensuring the smooth operation of any facility. They can prevent any problems by applying the kit non-intrusively to a specific surface and informing staff in the area of what happens.

Providing data-driven insights

CavFinder also provides data-driven insights to optimize operational processes and reduce costs. It is an essential tool for streamlining operations and ensuring facility safety and reliability. CavFinder can provide real-time analytics and detect potential problems before they become major issues. This helps to save time, resources and money for any organization. It also helps to ensure that operations are efficient and working as expected.

Machine Learning (ML) algorithms

ML algorithms are applied to gather vibration and sound information. This information is then used to detect anomalies that indicate a potential failure. CavFinder’s advanced AI technology detects problems before they become serious, saving time and money by avoiding costly repairs. Furthermore, its intuitive interface makes it easy to use and understand, even for non-technical personnel. This means that CavFinder can be utilized in a variety of settings, from small businesses to large-scale industrial facilities. Its predictive capabilities make it a valuable tool for preventative maintenance and smooth facility operation.

Program Logic Controller (PLC)

A device connected to a PLC would receive all types of information related to pumps and pipes. The PLC would then interpret this data and adjust the system accordingly. This would help ensure that the pumps and pipes were functioning properly and that any potential issues could be quickly identified and rectified.

An easy-to-use interface

CavFinder’s user-friendly design ensures accessibility for all, regardless of technical background, making it the right choice for any size operation. It would allow the PLC to quickly and accurately analyze the data and adjust the system as needed. This would help ensure the system runs efficiently and prevent costly breakdowns or malfunctions. Additionally, the easy-to-use interface would allow the PLC to quickly detect any issues and troubleshoot them before they cause damage or disruption. This could help save time and money in the long run by reducing the need for costly repairs and maintenance. By providing regular maintenance and using the easy-to-use interface, the system can be kept running effectively and any potential problems can be efficiently identified and resolved before they incur significant costs or downtime.

Other CavFinder Features

Other fuctions that Cavfinder Will provide

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