Geo-intelligence based automatic verification and optimization of manual field survey for OFC network planning

Manual field survey (with odometer) is the common practice for planning of a new Optical Fiber Cable (OFC) network from Central Office (CO) and Customer Premises (CP) location information collection (e.g. Latitude, Longitude, and Identity Tag) to OFC laying route selection. As 80–90% cost for the deployment of an OFC network goes in OFC laying [1] so the (optimization of complete OFC network is of utmost important [2] and for optimization accurate mapping of OFC routes and the component in Geographical Information System (GIS) is indispensable for OFC Technological planning.) It has been observed that in some cases, 1. There are errors in collected data and 2. Proposed routes are not optimized (specific to technology) in field survey. In this paper we have proposed a Geo-Intelligence based solution that automatically verifies the collected data during the field survey, if the collected data does not comply with the desired format then proposed algorithm correct and rectify it up to some extent. It generates GIS compliant optimized OFC routes (specific to technology) along with finding errors in manual surveyed routes. The proposed solution works in Client Server Model. The server dynamically fetches the submitted survey data from database and forwards it to the one of available client present in the network and on receiving service request, the client i.e. Computer System verifies collected surveyed data and compare the generated optimized routes with the recorded surveyed routes. Then it sends the comparison report back to server for acceptance of the surveyed routes. This study is extremely useful as it a) optimizes the OFC route if possible b) reduce processing time for parallel processing c) reduces chances of error as it's an automated approach d) eliminates human intervention for client server approach.