H800L IoT Ball Valve

• Analytics & Modeling - Machine Learning
• Analytics & Modeling - Predictive Analytics
• Infrastructure as a Service (IaaS)
• Networks & Connectivity - Gateways

• Oil & Gas

• Maintenance

• Machine Condition Monitoring
• Predictive Maintenance

Ham-Let is a leading manufacturer of valves, fittings and instrumentation. One of the key challenges in this industry is identifying malfunctions and shutting off the appropriate valves before any damage can be done. However, it is often a demanding task to identify the cause of the malfunction and isolate the valves quickly. 

Valves of the past had a simple function: allow flow or shut off flow. A smart valve that is capable of continuously monitoring the current diaphragm condition using acquired acoustic data, thus enables autonomous predictive maintenance.

The H800L IoT Valve is an industrial solution which includes valve and gateway device management. Each valve's parameters and historical data can be retrieved including the number of times the valve has been opened and closed in addition to manufacturing and test data.

Moreover, through the use of machine learning and audio machine learning models we can analyse the valve's open and close parameters respectively and therefore identify unusual or outlying conditions. 

• [Efficiency Improvement - Production Uptime]
  Improved efficiency – the IoT valve is able to quickly detect malfunctions and automatically shut off to prevent further complications based on real-time data collected. This reduces the downtime of the process and allows rectification actions to be carried out, including changing the valve before it dies. 
• [Cost Reduction - Total Cost Of Ownership]
  the valve reduces the customer’s total cost of ownership by removing the need for peripheral sensors, and their associated fittings. Moreover, the IoT H800L Ball Valve provides E2E solution for management and a variety of services which reduces the
• [Product Improvement - Flexibility]
  The IoT H800L Valve is built on an open architecture, utilizing common communication protocols and built-in integration to common IoT clouds, which allows it to be integrated into current customer framework. The IoT valve can also be quickly customized, a

• Complete control - The valve can sense the media and surrounding conditions and react acoordingly by opening/closing according to rules on differential pressure or other sensor rules. The media and surrounding conditions can be viewed and the valve can be controlled from the valve level all the way to the cloud level. There are 3 ways to operate the valve: physically with the help of a human operator; digitally through the cloud; or automatically based on preset parameters from the valve gateway or cloud. 

• Getting Real Time Data -  Integrates 7 different sensors into one valve, removing the need to purchase and link up these 7 different sensors separately. Therefore, the valve is compact, with only one wire coming out from it. The sensors provide accurate, real-time, and actionable data that can be used immediately for Data Analytics and Data Visualisation. 

• Health Indicator - The valve is able to predict in advance when its operation will start to change. Therefore, the valve is able to predict its own failure before the valve actually fails. This is valuable because the valve can be changed before its life cycle ends.