CN-117056762-B - Submarine cable embedding state determining method and device, storage medium and electronic equipment

CN117056762BCN 117056762 BCN117056762 BCN 117056762BCN-117056762-B

Abstract

The disclosure relates to a method, a device, a storage medium and electronic equipment for determining a submarine cable burying state, wherein the method comprises the steps of determining real-time optical fiber temperature data of a submarine cable; the method comprises the steps of determining real-time optical fiber temperature transient characteristics according to the real-time optical fiber temperature data, determining the burying state of the submarine cable according to the real-time optical fiber temperature transient characteristics and a preset depth threshold, and processing a historical optical fiber temperature transient characteristic set by a K-means cluster analysis method to obtain the preset depth threshold. The covering state of the submarine cable can be accurately estimated when the surface temperature of the seabed is the same as or similar to the depth temperature of the seabed.

Inventors

Shi Erzhen
JIANG KUN
Hu Langhua
ZHANG SHUAI
FU XIANG
AN BOWEN
CHEN YUANLIN

Assignees

国华能源投资有限公司
国家能源集团东台海上风电有限责任公司
上海安馨信息科技有限公司

Dates

Publication Date: 20260512
Application Date: 20230707

Claims (10)

1. A method for determining a submarine cable burying state, the method comprising: determining real-time optical fiber temperature data of the submarine cable; Determining real-time optical fiber temperature transient characteristics according to the real-time optical fiber temperature data; determining the burying state of the submarine cable according to the real-time optical fiber temperature transient characteristics and a preset depth threshold; The method comprises the steps that a preset depth threshold value is obtained by processing a historical fiber temperature transient characteristic set through a K-means cluster analysis method, the preset depth threshold value is used for representing the critical value that the covering state of the submarine cable is in a deep-buried state and a shallow-buried state, and the historical fiber temperature transient characteristic set is used for representing the characteristic set of fiber temperature rising amplitude and fiber temperature rising time corresponding to each depth data in a time period of historical current step occurrence of the submarine cable; the determining real-time optical fiber temperature transient characteristics according to the real-time optical fiber temperature data comprises the following steps: And carrying out local regression processing on the real-time optical fiber temperature data through a least square method and a first-order polynomial model in local weighted linearity to obtain the real-time optical fiber temperature transient characteristic.
2. The method according to claim 1, wherein the method further comprises: Determining a first fiber temperature dataset of the submarine cable over a historical period of time; Determining the historical fiber temperature transient feature set according to the first fiber temperature data set; And carrying out K-means cluster analysis on the historical optical fiber temperature transient characteristic set to obtain the preset depth threshold.
3. The method according to claim 2, wherein performing K-means cluster analysis on the set of historical fiber temperature transient characteristics to obtain the preset depth threshold comprises: Performing cluster analysis on the historical optical fiber temperature transient characteristic set by a K-means clustering method to obtain a clustering center and a data set in a clustering cluster; determining a first Euclidean distance according to the clustering center and the data set in the clustering cluster, wherein the first Euclidean distance is the farthest distance between the data in the clustering cluster and the clustering center; and determining the preset depth threshold according to the first Euclidean distance.
4. A method according to claim 2 or 3, wherein said determining said historical fiber temperature transient characteristic set from said first fiber temperature dataset comprises: Smoothing the first optical fiber temperature data set by a local weighted linear regression method to obtain a second optical fiber temperature data set; And processing the second optical fiber temperature data set by a difference value calculation method to obtain the historical optical fiber temperature transient characteristic set.
5. A method according to claim 2 or 3, wherein said determining a first set of fiber optic temperature data for the submarine cable over a historical period of time comprises: Determining a plurality of depth data of the submarine cable in a historical time period and a time period when a current step occurs; Extracting optical fiber temperature data corresponding to each depth data in the time period of the current step to obtain a plurality of optical fiber temperature data; And forming a plurality of the optical fiber temperature data into the first optical fiber temperature data set.
6. A method according to any one of claims 1-3, wherein said determining the buried condition of the submarine cable based on the real-time fiber temperature transient characteristics and the preset depth threshold comprises: Determining real-time clustering data points according to the real-time optical fiber temperature transient characteristics and an objective function, wherein the objective function is a clustering result of performing clustering analysis on the historical optical fiber temperature transient characteristic set by a K-means clustering method; Determining a second Euclidean distance according to the real-time clustering data points and a clustering center, wherein the clustering center is a clustering center obtained by performing clustering analysis on the historical fiber temperature transient characteristic set through the K-means clustering method; And determining the burying state of the submarine cable according to the second Euclidean distance and the preset depth threshold.
7. The method of claim 6, wherein the determining the buried state of the submarine cable according to the second euclidean distance and the preset depth threshold comprises: when the second Euclidean distance is larger than the preset depth threshold value, determining that the covering state of the submarine cable is a shallow burying state; And when the second Euclidean distance is smaller than the preset depth threshold value, determining that the covering state of the submarine cable is a deep-buried state.
8. The device for determining the submarine cable burying state is characterized by comprising a first determining module, a second determining module and a third determining module; the first determining module is used for determining real-time optical fiber temperature data of the submarine cable; the second determining module is used for determining real-time optical fiber temperature transient characteristics according to the real-time optical fiber temperature data; The third determining module is used for determining the burying state of the submarine cable according to the real-time optical fiber temperature transient characteristics and a preset depth threshold; The method comprises the steps that a preset depth threshold value is obtained by processing a historical fiber temperature transient characteristic set through a K-means cluster analysis method, the depth threshold value is used for representing a critical value that a covering state of a submarine cable is in a deep-buried state and a shallow-buried state, the fiber temperature transient characteristic set is used for representing a characteristic set of fiber temperature rising amplitude and fiber temperature rising time corresponding to each depth data in a time period of historical current step occurrence of the submarine cable; the second determining module is specifically configured to perform local regression processing on the real-time fiber temperature data through a least square method and a first-order polynomial model in local weighted linearity, so as to obtain the real-time fiber temperature transient characteristic.
9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1-7.
10. An electronic device, comprising: A memory having a computer program stored thereon; A processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-7.

Description

Submarine cable embedding state determining method and device, storage medium and electronic equipment Technical Field The disclosure relates to the technical field of data processing, in particular to a submarine cable embedding state determining method, a submarine cable embedding state determining device, a submarine cable embedding state storing medium and electronic equipment. Background Submarine cables are cables laid on the sea floor and used for telecommunication transmission. In order to ensure the safety of the submarine cable, the range of the covering depth of the submarine cable is usually set between two meters and three meters, but the submarine cable is easily corroded and damaged due to the fact that the covering depth of the submarine cable is too shallow or is exposed on the surface of the seabed along with the scouring of ocean currents to the seabed and the quality problem of the submarine cable laying. In the related art, the buried state of a submarine cable is generally monitored according to a temperature difference between a surface temperature of the seabed and a temperature deep in the seabed. However, when the method is used for estimating the covering state of the submarine cable, if the surface temperature of the seabed is the same as or similar to the deep temperature of the seabed, the covering state of the submarine cable cannot be accurately estimated. Disclosure of Invention The disclosure aims to provide a submarine cable embedding state determining method, a submarine cable embedding state determining device, a submarine cable embedding state storing medium and electronic equipment, so as to solve the related problems. To achieve the above object, in a first aspect, the present disclosure provides a method for determining a submarine cable burying state, the method comprising the steps of: determining real-time optical fiber temperature data of the submarine cable; Determining real-time optical fiber temperature transient characteristics according to the real-time optical fiber temperature data; determining the burying state of the submarine cable according to the real-time optical fiber temperature transient characteristics and a preset depth threshold; The method comprises the steps that a preset depth threshold value is obtained by processing a historical fiber temperature transient characteristic set through a K-means cluster analysis method, the preset depth threshold value is used for representing the critical value that the covering state of the submarine cable is in a deep-buried state and a shallow-buried state, and the historical fiber temperature transient characteristic set is used for representing the characteristic set of fiber temperature rising amplitude and fiber temperature rising time corresponding to each depth data in a time period of historical current step occurrence of the submarine cable. Optionally, the method further comprises: Determining a first fiber temperature dataset of the submarine cable over a historical period of time; Determining the historical fiber temperature transient feature set according to the first fiber temperature data set; And carrying out K-means cluster analysis on the historical optical fiber temperature transient characteristic set to obtain the preset depth threshold. Optionally, performing K-means cluster analysis on the historical fiber temperature transient feature set to obtain the preset depth threshold, including: Performing cluster analysis on the historical optical fiber temperature transient characteristic set by a K-means clustering method to obtain a clustering center and a data set in a clustering cluster; determining a first Euclidean distance according to the clustering center and the data set in the clustering cluster, wherein the first Euclidean distance is the farthest distance between the data in the clustering cluster and the clustering center; and determining the preset depth threshold according to the first Euclidean distance. Optionally, the determining the historical fiber temperature transient characteristic set according to the first fiber temperature data set includes: Smoothing the first optical fiber temperature data set by a local weighted linear regression method to obtain a second optical fiber temperature data set; And processing the second optical fiber temperature data set by a difference value calculation method to obtain the historical optical fiber temperature transient characteristic set. Optionally, the determining the first fiber optic temperature dataset of the submarine cable over the historical period of time comprises: Determining a plurality of depth data of the submarine cable in a historical time period and a time period when a current step occurs; Extracting optical fiber temperature data corresponding to each depth data in the time period of the current step to obtain a plurality of optical fiber temperature data; And forming a plurality of the optical fiber temperatu