Intelligent Optical Distribution Network
The iODN solution identifies and manages optical fiber connections, provides visible operation guidance, and intelligently manages optical splitters. Patrick J. Sims, ODN r&D Director at Huawe, shares more.
Huawei’s iODN is the industry's first intelligent optical fiber management system that manages optical fiber in bulk across an FTTH network, while aiding the management of fiber connections and splitters intelligently, leading to enhancements in both fiber deployment scale and O&M efficiency.
Patrick J. Sims, Director, ODN R&D, Fiber Infrastructure Product Line of Huawei, explains that the iODN solution uses an eID tag, the first of its kind in the industry, to replace traditional paper tags. With this system, the eID tool automatically reads eID tag data at both ends of the patch cord to determine an optical fiber connection, allowing operators to collect & record information easily and ensuring correct port status and optimal resource utilization.
Typically, the iODN will start with the central office, with the iODF or intelligent optical distribution frames. These frames can accommodate various fibers including single mode fiber and multi-mode fiber, because the system is not using intelligent in fiber itself, but the in the adapters where fibers plugged into. With the Huawei iODF, operators can use any fiber. Thanks to iODN, Patrick says that operators can save 20% of fiber network deployment time. Operator such as China Telecom and Qtel are using the iODN solution for simplified fiber network deployment.
In addition, Huawei’s ODN planning tools can help define an optimal network model, while delivering a 25% cut in deployment costs to boot. The system integrates the network planning experience of over 50 experts and 100 proven network planning models, so that operators can better predict the path & scale of their network expansion, which should minimize the wastage of network resources. Based on its built-in algorithms, the system can export a network design plan with a only few parameters entered, which helps improve network planning efficiency by over 50% and reduces manual input.