Today, Multi-Sensor Networks (MSN) have numerous applications in areas such as facility condition monitoring, disaster management, equipment inspection, and resource management. Structural displacement data are parameters collected from multiple sensors, necessitating a method for accurate and efficient analysis to assess the structural state effectively. This paper presents an analysis of multi-sensor network (MSN) data gathered from marine structures, such as the Offshore Jacket Platform (OJP). The paper aims to determine the structural displacement resulting from environmental impacts by constructing a data-link ridge progression graph of sensor nodes. The authors propose a two-step approach to identify the optimal trajectory progression for ridges. Firstly, the Dijkstra algorithm is employed within a multi-mesh sensor network to establish connections between points and determine the progression path of the building health diagram. Subsequently, a fast-marching algorithm is applied to optimize the path progression into a ridge trajectory, thus creating a health diagram for marine structures. The effectiveness of the proposed solution is demonstrated through its application in two test scenarios, yielding promising initial results.