CN-122017953-A - Fusion preprocessing method, device and application for 5G intelligent node data recovery

CN122017953ACN 122017953 ACN122017953 ACN 122017953ACN-122017953-A

Abstract

The invention provides a fusion preprocessing method, a fusion preprocessing device and application of 5G intelligent node data recovery, and belongs to the field of seismic exploration. The method comprises the steps of collecting original seismic data by the intelligent node in the step 1,5G, uploading the collected original seismic data to a cloud server by the intelligent node in the step 2,5G, scanning the data of the cloud server by the central processor, counting missing data, switching the intelligent node in the step 4,5G to a data recovery mode, uploading the missing data to the central processor through an indoor small base station, and fusing the data by the central processor in the step 5. The invention is based on the original seismic data uploaded to the cloud server through the 5G network, the missing data is counted, and the missing original seismic data is recovered by the indoor small base station in a vector manner, so that data transmission equipment can be saved, labor and time are reduced for operation, and the seismic data processing efficiency is improved.

Inventors

LV KAILIANG
ZHOU QUAN
ZHU XIAOLIN

Assignees

中国石油化工股份有限公司
中石化石油物探技术研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20241111

Claims (10)

1. The fusion preprocessing method for the data recovery of the 5G intelligent node is characterized by comprising the following steps of: Step 1,5G, collecting original seismic data by the intelligent node; step 2,5G, the intelligent node uploads the acquired original seismic data to a cloud server; step 3, the central processing unit scans the data of the cloud server and counts missing data; Step 4,5G, the intelligent node is switched to a data recovery mode, and missing data is uploaded to a central processor through an indoor small base station; And 5, the central processing unit performs fusion processing on the data.
2. The method of claim 1, wherein step2,5G of the intelligent node uploads the collected raw seismic data to the cloud server comprises the following specific operations: During geophysical exploration, the 5G intelligent node is connected with the cloud server through the 5G radio frequency module, and the collected original seismic data are uploaded to the cloud server.
3. The method of claim 2, wherein the raw seismic data uploaded to the cloud server is stored with a time stamp having a resolution of seconds.
4. The method according to claim 1, wherein step 3, the central processing unit scans the data of the cloud server, and the missing data is counted, and the specific operations include: after geophysical exploration is completed, the central processing unit is connected with the cloud server through the Ethernet, the central processing unit scans data stored in the cloud server, missing data is counted, and a missing data counting table is built according to the counting result.
5. The method of claim 1, wherein step 4,5G of the intelligent node switching to the data recovery mode, uploading the missing data to the central processor through the indoor small cell, comprises: The 5G intelligent node is recycled to a data factory, and the 5G intelligent node is connected with a central processing unit through an indoor small base station; The 5G intelligent node to be recovered data is switched to a data recovery mode according to the narrowband broadcast command; after the 5G intelligent node is switched to a data recovery mode, firstly, a missing data statistical table established by the central processing unit is obtained from the indoor small base station, and then missing data is uploaded to the central processing unit for storage according to information in the missing data statistical table, so that incremental data feedback is realized.
6. The method of claim 1, wherein in step 5, the central processing unit performs fusion processing on the data, and the specific operations include: the central processing unit acquires data stored in the cloud server, integrates the acquired data in the cloud server with the missing data, and synthesizes the data with the initial timestamp as a file name into one-hour original seismic data of the whole point through time migration.
7. The fusion preprocessing device for 5G intelligent node data recovery is characterized by comprising a 5G intelligent node, a cloud server and a central processing unit; the 5G intelligent node is used for collecting original seismic data and uploading the collected original seismic data to the cloud server, and is also used for uploading missing data to the central processor through the indoor small base station; and the central processing unit is used for scanning the data of the cloud server, counting missing data and carrying out fusion processing on the data.
8. The apparatus of claim 7, wherein the 5G intelligent node switches to the data reclamation mode based on a narrowband broadcast command and uploads missing data to the central processor via the indoor small cell.
9. Use of a fusion preprocessing method for 5G intelligent node data recovery according to any of claims 1-6 in seismic data recovery.
10. Use of a fusion preprocessing device for 5G intelligent node data recovery according to claim 7 or 8 in seismic data recovery.

Description

Fusion preprocessing method, device and application for 5G intelligent node data recovery Technical Field The invention belongs to the field of seismic exploration, and particularly relates to a fusion preprocessing method, a fusion preprocessing device and application of 5G intelligent node data recovery. Background The seismic exploration is one of the main methods adopted by geophysical exploration, and in the seismic exploration process, the original seismic data acquired by a seismic exploration instrument are required to be recovered for seismic data processing. Most wireless seismic exploration acquisition equipment can be transported back to a data factory after exploration is completed to recycle and download seismic data, and the specific mode is to uniformly insert the wireless seismic exploration acquisition equipment into a special data transmission cabinet, and to connect a background data storage device through a network to carry out data transmission. The 5G intelligent node can directly upload original seismic data to the cloud server through a 5G network in the exploration process, but due to coverage and instability of a wireless network, some data are necessarily lost. If the original seismic data stored locally in the 5G intelligent node is recovered in a data downloading mode in a traditional mode, the data transmission equipment is wasted, and labor and time are greatly consumed for operation. Therefore, the fusion pretreatment method for recovering the 5G intelligent node data can be invented and used for incrementally recovering the data, so that the treatment efficiency is improved and the process is simplified. Disclosure of Invention The invention aims to solve the problems in the prior art and provide a fusion preprocessing method, a device and a medium for recovering 5G intelligent node data, which can save data transmission equipment, improve processing efficiency and simplify the process. The invention is realized by the following technical scheme: The first aspect of the invention provides a fusion preprocessing method for recovering 5G intelligent node data, which comprises the following steps: Step 1,5G, collecting original seismic data by the intelligent node; step 2,5G, the intelligent node uploads the acquired original seismic data to a cloud server; step 3, the central processing unit scans the data of the cloud server and counts missing data; Step 4,5G, the intelligent node is switched to a data recovery mode, and missing data is uploaded to a central processor through an indoor small base station; And 5, the central processing unit performs fusion processing on the data. The invention further improves that: Step 2,5G, the intelligent node uploads the acquired original seismic data to the cloud server, and the specific operations include: During geophysical exploration, the 5G intelligent node is connected with the cloud server through the 5G radio frequency module, and the collected original seismic data are uploaded to the cloud server. The invention further improves that: the original seismic data uploaded to the cloud server is stored with a time stamp having a resolution of seconds. The invention further improves that: step 3, the central processing unit scans the data of the cloud server, and the missing data is counted, and the specific operation includes: after geophysical exploration is completed, the central processing unit is connected with the cloud server through the Ethernet, the central processing unit scans data stored in the cloud server, missing data is counted, and a missing data counting table is built according to the counting result. The invention further improves that: Step 4,5G, switching to a data recovery mode by the intelligent node, and uploading missing data to a central processing unit through an indoor small base station, wherein the specific operations comprise: The 5G intelligent node is recycled to a data factory, and the 5G intelligent node is connected with a central processing unit through an indoor small base station; The 5G intelligent node to be recovered data is switched to a data recovery mode according to the narrowband broadcast command; after the 5G intelligent node is switched to a data recovery mode, firstly, a missing data statistical table established by the central processing unit is obtained from the indoor small base station, and then missing data is uploaded to the central processing unit for storage according to information in the missing data statistical table, so that incremental data feedback is realized. The invention further improves that: And 5, the central processing unit performs fusion processing on the data, and the specific operations comprise: the central processing unit acquires data stored in the cloud server, integrates the acquired data in the cloud server with the missing data, and synthesizes the data with the initial timestamp as a file name into one-hour original seismic data of the whole point