Failure Location Identification Using External Factor Correlation
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Solution Overview
Problem
In communication facilities, identifying a detailed failure location is challenging due to the lack of monitoring locations, especially in long cable zones, making it difficult to pinpoint the exact place of failure occurrence.
Innovation Solution
A failure location identification apparatus that records facility and external factor information, including positional data, to determine the influence of external factors on physical resources, thereby identifying the failure occurrence location based on the recorded information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If monitoring locations are reduced in communication facilities, then operation and maintenance costs are reduced, but failure location identification accuracy deteriorates
Solution Approach 1:
The patent introduces external factor information (construction works, natural disasters, weather conditions) as an intermediary element to bridge the gap between reduced monitoring and accurate failure location identification. By incorporating this external information into the analysis, the system can pinpoint failure locations more accurately without requiring extensive physical monitoring infrastructure throughout the cable network.
2Device complexity
If cable zones are made longer to reduce infrastructure, then deployment cost is reduced, but detailed failure location identification becomes more difficult
Solution Approach 1:
The patent transitions from a one-dimensional approach (physical monitoring locations along the cable route) to a multi-dimensional approach by incorporating external factor information such as construction activities, natural disasters, and weather conditions. This additional dimension of information enables accurate failure location identification even in long cable zones with fewer physical monitoring points.
3Measurement precision
If on-site investigations are conducted to identify detailed failure zones, then identification accuracy is improved, but response time deteriorates
Solution Approach 1:
The patent performs preliminary analysis by automatically correlating failure data with external factor information (construction works, natural disasters, weather conditions) before dispatching investigation teams. This preliminary action narrows down the potential failure zones in advance, so that when on-site investigations are conducted, they can focus on specific areas, thereby maintaining high identification accuracy while significantly reducing response time.
Data Source
AI summary
In a failure location identification apparatus according to one embodiment, a facility information management unit records therein facility information including positional information of a physical resource, an external factor information management unit records therein external factor information concerning an external factor that possibly becomes a factor that causes a failure in the physical resource, the external factor information including positional information of the external factor, and a facility influence definition management unit records therein information concerning a possible influence of the external factor on the physical resource. A facility influence determination process unit identifies a failure occurrence location at which the failure is estimated to occur in the physical resource, from the facility information that is recorded in the facility information management unit and has positional information corresponding to the positional information of the external factor information, and outputs failure location information including information indicating the identified failure occurrence location, when it is determined that the external factor information recorded in the external factor information management unit influences the physical resource, on a basis of the information recorded in the facility influence definition management unit.