Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.
But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Ayla NetworksAyla Networks provides the industry’s first Agile IoT Platform, accelerating development, support, and ongoing enhancements of connected products for the Internet of Things (IoT). Ayla’s software fabric runs across devices, cloud, and apps to create secure connectivity, data analytics, and feature-rich customer experiences. Offered as a platform-as-a-service (PaaS), Ayla’s flexibility and modularity enable rapid changes to practically any type of device, cloud, and app environment. Headquartered in Sunnyvale, California, the company has partnered with major hardware, cloud, and application vendors leading the new era of the Internet of Things.Year founded: 2010
Equipment & Machinery
Ozner Water International Holding is part of a large Chinese company that develops, manufactures and sells water-purification systems.
- CONNECTIVITY PROTOCOLS
Ozner is leveraging Ayla’s IoT cloud platform to better manage and maintain its connected filtration systems and to help expand its sales into international markets.
The Ayla Insights business intelligence and analytics tool was employed to obtain real-world customer data from the Ozner Water connected smart-filtration systems in use. The customer data collected through Ayla insights included additional maintenance and service checkpoints from the deployed systems.
Meanwhile, Ayla engineers built Ozner a mobile app that lets Chinese customers remotely control their own filtration systems using popular social networks, such as Weixin (aka WeChat).
- DATA COLLECTED
Device Status, Home Devices, Water Flow Rate, Water pH, Water Filter Cartridges
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - Customer Service]
Expand its knowledge of customer requirements and use the information for future product improvements. Anticipate many more of its customers’ needs before they became service problems or system malfunctions
Impact #2 [Process Optimization - Remote Control]
Allow customers to control and monitor their filtration systems anytime, anywhere—and communicate with Ozner customer service—via smartphone and their favorite social network.
Impact #3 [Efficiency Improvement - Maintenance]
Conquer long-distance maintenance and service concerns as the company expands beyond China into international markets
- QUANTITATIVE BENEFIT
- USE CASES
Predictive MaintenancePredictive maintenance is a technique that uses condition-monitoring sensors and machine learning or rules based algorithms to track the performance of equipment during normal operation and detect possible defects before they result in failure. Predictive maintenance enables the reduction of both schedule-based maintenance and unplanned reactive maintenance by triggering maintenance calls based on the actual status of the equipment. IoT relies on predictive maintenance sensors to capture information, make sense of it, and identify any areas that need attention. Some examples of using predictive maintenance and predictive maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.