Cable affiliation determination method

Abstract

The invention discloses a cable affiliation determination method, comprising steps of using a signal induction loading method to transmit a specific signal in a pipe line, using signal with different frequencies to perform loading, reception and processing to finish the affiliation and positioning of the pipeline in order to finish the cable running affiliation of the cable under the condition that the power is not blacked out. The technical scheme of the invention is that the invention guarantees the high accuracy determination on the on-site cable pipe line affiliation through a dual-mechanism of specific signal adaptive filtering and the fuzzy recognition. In the filtering algorithm, the self-adaption is emphasized, and the key point in the fuzzy recognition is the loading of the on-site cable and the data accumulation and criterion accumulation of the reception signal. The algorithm and recognition are focused on the self-correction and self-directed learning. On the basis of the adaptive filtering algorithm and the new fuzzy recognition theory, the invention can effectively load and receive the high signal-to-noise ratio effective signal and accurately determines the trending affiliation.

Description

technical field [0001] The invention relates to a cable attribution judging method, in particular to a cable attribution judging method based on an adaptive filtering algorithm and a fuzzy identification theory. Background technique [0002] The direction and location of cables and pipelines of power companies is one of the important tasks in power network management. However, due to the large and complex basic data of the pipeline network in the early stage and the pipelines being in disrepair for a long time, the direction and ownership of a considerable part of the pipelines are unclear. How to complete the routing of cables without power outage is very important and very challenging. [0003] On the one hand, the trends of various on-site cables are complicated, and their attribution judgments lack standard and accurate basis. On the other hand, there is no effective method for judging the ownership of uninterrupted cable pipelines. It is impossible to obtain effective...

AI Technical Summary

Problems solved by technology

[0003] On the one hand, the trends of various on-site cables are complicated, and there is no standard and accurate basis for their attribution judgment

On the other hand, there is no effective method for judging the ownership of uninterrupted cable pipelines. It is impossible to obtain effective signals, and it is impossible to judge the direction of cables with high accuracy based on signals.

For this reason, either allow the power outage to cause losses, or keep the pipeline direction in an uncontrollable state for a long time. Once an accident occurs, the consequences will be even worse.

Images