Huawei and Infosys Team up on Smart IoT

Internet of things IOT.

Huawei joined hands with Infosys and Wapwag, a provider of smart water affair solutions. Together they released a series of important innovative practices including smart robots/ machine tools and smart water affairs based on open edge computing IoT, accelerating the implementation of industry applications.

Under the trend of digital transformation, industries such as manufacturing and water management are developing towards intelligent IoT. However, the network edge still faces many challenges such as having many heterogeneous connections and difficulties in data analysis, data processing, and device management. The smart industrial robots or machine tools solution jointly released this time by Huawei and Infosys, based on open edge computing IoT, supports the interconnection with industrial robots or machine tools of different vendors, quickly adapts to intelligent data processing requirements in different industrial manufacturing scenarios, helps manufacturers anticipate faults, and improves maintenance efficiency of robots or machine tools.

Mike Liu, the Vice President of Infosys and Country Head in Infosys Greater China, said, “Infosys and Huawei have jointly innovated the intelligent industrial robot or machine tool interconnection solution. The solution implements predictive maintenance, helping manufacturers greatly improve maintenance efficiency. The downtime of industrial robots or machine tools is reduced by over 70% and the defect rate is reduced by 40%. The solution can help schedule production based on device resource usage and it can also optimize production lines, significantly improving the production efficiency.”

Swift Liu, President of Huawei Network Solutions R&D Department and ECC Vice Chairman, said, “The Huawei edge computing IoT solution is extremely open. It supports various industrial protocols and interfaces and is widely applied to various industry connectivity scenarios. In addition, it leverages its open edge computing capabilities and cloud management architecture to rapidly meet intelligent data processing requirements in different industries. This helps industries quickly innovate, improves production efficiency and quality, reduces O&M costs, and improves public services.”