Fusion preprocessing method and device for 5G intelligent node data recovery and application

Abstract

The invention provides a fusion preprocessing method and device for 5G intelligent node data recovery and application, and belongs to the field of seismic exploration. The method comprises the following steps: step 1, acquiring original seismic data by a 5G intelligent node; step 2, uploading the collected original seismic data to a cloud server by the 5G intelligent node; step 3, the central processing unit scans the data of the cloud server and counts missing data; 4, switching the 5G intelligent node to a data recovery mode, and uploading missing data to a central processing unit through an indoor small base station; and 5, the central processing unit carries out fusion processing on the data. According to the invention, on the basis of 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 targeted manner, so that data transmission equipment can be saved, manpower and time are reduced for operation, and the seismic data processing efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of seismic exploration, and specifically relates to a fusion preprocessing method, device and application for 5G smart node data recovery. Background Technology

[0002] Seismic exploration is one of the main methods used in geophysical exploration. During seismic exploration, it is necessary to retrieve and process the raw seismic data collected by the seismic instrument. Most wireless seismic acquisition equipment can only be retrieved and downloaded after the exploration is completed and transported back to the data factory. Specifically, it is inserted into a specially designed data transmission cabinet and transmitted to the backend data storage device via a network.

[0003] 5G smart nodes can directly upload raw seismic data to cloud servers via 5G networks during exploration. However, due to the coverage and instability of wireless networks, some data will inevitably be missing. If the raw seismic data stored locally on the 5G smart nodes is still retrieved via traditional download methods, it wastes data transmission equipment and consumes a significant amount of manpower and time. Therefore, a fusion preprocessing method for 5G smart node data retrieval can be invented for incremental data retrieval, thereby improving processing efficiency and simplifying the process. Summary of the Invention

[0004] The purpose of this invention is to solve the problems existing in the prior art and provide a fusion preprocessing method, device and medium for 5G smart node data recycling, which can save data transmission equipment, improve processing efficiency and simplify the process.

[0005] This invention is achieved through the following technical solution:

[0006] A first aspect of the present invention provides a fusion preprocessing method for 5G smart node data recycling, comprising:

[0007] Step 1: 5G smart nodes collect raw seismic data;

[0008] Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server;

[0009] Step 3: The central processing unit scans the data on the cloud server and identifies missing data;

[0010] Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations;

[0011] Step 5: The central processing unit performs data fusion processing.

[0012] A further improvement of the present invention is that:

[0013] Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server. Specific operations include:

[0014] During geophysical exploration, 5G smart nodes are connected to cloud servers via 5G radio frequency modules to upload the collected raw seismic data to the cloud servers.

[0015] A further improvement of the present invention is that:

[0016] The raw earthquake data uploaded to the cloud server is stored with timestamps in seconds.

[0017] A further improvement of the present invention is that:

[0018] Step 3: The central processing unit scans the data on the cloud server and identifies missing data. Specific operations include:

[0019] After the geophysical exploration is completed, the central processing unit (CPU) is connected to the cloud server via Ethernet. The CPU scans the data stored in the cloud server, counts the missing data, and creates a missing data statistics table based on the statistical results.

[0020] A further improvement of the present invention is that:

[0021] Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations. Specific operations include:

[0022] The 5G smart nodes are recycled to the data factory, where they are connected to the central processing unit via indoor small base stations.

[0023] The 5G smart node with data to be recycled switches to data recycling mode according to the narrowband broadcast command.

[0024] After the 5G smart node switches to data recycling mode, it first obtains the missing data statistics table established by the central processing unit from the indoor small base station, and then uploads the missing data to the central processing unit for storage based on the information in the missing data statistics table, realizing incremental data backhaul.

[0025] A further improvement of the present invention is that:

[0026] Step 5: The central processing unit performs data fusion processing, which includes the following operations:

[0027] The central processing unit acquires data stored in the cloud server, integrates the acquired data with the missing data, and synthesizes the raw one-hour earthquake data by using the data with the start timestamp as the file name and time offset.

[0028] A second aspect of the present invention provides a fusion preprocessing device for 5G smart node data recycling, comprising a 5G smart node, a cloud server, and a central processing unit;

[0029] 5G smart nodes are used to collect raw seismic data and upload it to a cloud server; they are also used to upload missing data to a central processor via indoor small base stations.

[0030] The central processing unit (CPU) is used to scan data from the cloud server, identify missing data, and perform data fusion processing.

[0031] A further improvement of the present invention is that:

[0032] The 5G smart node switches to data recycling mode according to the narrowband broadcast command and uploads the missing data to the central processor through the indoor small base station.

[0033] A third aspect of the present invention provides an application of a fusion preprocessing method for 5G smart node data recovery in earthquake data recovery.

[0034] A fourth aspect of the present invention provides an application of a fusion preprocessing device for 5G smart node data recovery in earthquake data recovery.

[0035] Compared with the prior art, the beneficial effects of the present invention are:

[0036] 5G smart nodes can directly upload raw seismic data to a cloud server via the 5G network during exploration. However, due to the coverage and instability of wireless networks, some data will inevitably be missing. If the raw seismic data stored locally on the 5G smart node is retrieved via data download using traditional methods, it wastes data transmission equipment and consumes a significant amount of manpower and time. This invention employs incremental data retrieval. Based on the raw seismic data already uploaded to the cloud server via the 5G network, missing data is identified, and then the missing raw seismic data is retrieved in a targeted manner using indoor small base stations and / or data transmission cabinets. This saves data transmission equipment, reduces manpower and time, thereby improving processing efficiency and simplifying the process.

[0037] This invention ensures the integrity of seismic data while effectively reducing the transmission of invalid seismic data and lowering the bandwidth requirements for data retrieval, thereby greatly improving the efficiency of seismic data processing. Attached Figure Description

[0038] Figure 1 This is a flowchart of a fusion preprocessing method for 5G smart node data recycling in an embodiment of the present invention. Detailed Implementation

[0039] The present invention will now be described in further detail with reference to the accompanying drawings:

[0040]

Example 1

[0041] This invention provides a fusion preprocessing method for 5G smart node data recycling, such as... Figure 1 As shown, the specific steps include:

[0042] Step 1: 5G smart nodes collect raw seismic data;

[0043] Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server;

[0044] Step 3: The central processing unit scans the data on the cloud server and identifies missing data;

[0045] Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations;

[0046] Step 5: The central processing unit performs data fusion processing.

[0047] 5G smart nodes can directly upload raw seismic data to a cloud server via the 5G network during exploration. However, due to the coverage and instability of wireless networks, some data will inevitably be missing. If the raw seismic data stored locally on the 5G smart node is retrieved via data download using traditional methods, it wastes data transmission equipment and consumes a significant amount of manpower and time. This invention employs incremental data retrieval. Based on the raw seismic data already uploaded to the cloud server via the 5G network, missing data is identified, and then the missing raw seismic data is retrieved in a targeted manner by indoor small base stations. This saves data transmission equipment, reduces manpower and time, thereby improving processing efficiency and simplifying the process.

[0048] This invention ensures the integrity of seismic data while effectively reducing the transmission of invalid seismic data and lowering the bandwidth requirements for data retrieval, thereby greatly improving the efficiency of seismic data processing.

[0049]

Example 2

[0050] Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server. Specific operations include:

[0051] During geophysical exploration, 5G smart nodes (which are seismic exploration instruments) are connected to cloud servers via 5G radio frequency modules. The 5G smart nodes upload the raw seismic data they collect to the cloud servers using different strategies such as real-time, time-sharing, and timed uploads.

[0052] The raw seismic data uploaded to the cloud server is stored with timestamps in seconds. For ease of data transmission and processing, files are typically created and stored hourly. Once one hour of raw seismic data (3600 seconds) is acquired, a new file is created and stored. If the signal is interrupted, data transmission resumes from the reconnection time until one hour of raw data is collected, at which point a new file is created and stored.

[0053]

Example 3

[0054] Step 3: The central processing unit scans the data on the cloud server and identifies missing data. Specific operations include:

[0055] After the geophysical exploration is completed, the central processing unit (CPU) is connected to the cloud server via Ethernet. The CPU scans the existing data on the cloud server, counts the missing data, and creates a missing data statistics table based on the results.

[0056]

Example 4

[0057] Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations. Specific operations include:

[0058] The 5G smart node is recycled to the data factory, and the 5G smart node is connected to the central processor through an indoor small base station. The 5G smart node to be recycled switches to data recycling mode according to the narrowband broadcast command. This mode does not require GPS time synchronization or data collection. The narrowband broadcast command is issued by the gateway controlled by the central processor.

[0059] After the 5G smart node switches to data recycling mode, it first obtains the missing data statistics table established by the central processing unit from the indoor small base station, and then uploads the missing data to the central processing unit for storage according to the nodes (that is, individual 5G smart nodes) in the missing data statistics table, realizing incremental data backhaul.

[0060] Since the task is singular and only requires data transmission, the embedded processor's capabilities can be freed up for data transmission only, allowing the data bandwidth to be increased to the maximum.

[0061] When a 5G smart node fails to power on due to a power supply failure or has not uploaded data due to network issues, requiring a large amount of data to be uploaded, data can be recycled through a data transmission device. The node on the data transmission device is equivalent to a drive mounted on the central processing unit, allowing direct selection of the required raw seismic data for transmission. Furthermore, given the larger bandwidth and higher stability of wired data transmission, incremental data recycling can be performed only on data with blasting timestamps to overwrite the cloud server.

[0062]

Example 5

[0063] Step 5: The central processing unit performs data fusion processing, which includes the following operations:

[0064] The central processing unit (CPU) acquires data stored in the cloud server, integrates the acquired data with the missing data, and synthesizes the data with the start timestamp as the file name into one hour of raw seismic data by time offset, which is then provided for subsequent processing and interpretation applications.

[0065] For example, if the earthquake data stored on the cloud server starts recording from 7:45 PM to 8:20 PM, and the data transmission device incrementally records data from 8:20 PM to 9:20 PM, then the earthquake data stored on the cloud server can be divided into the data from 8:00 PM to 8:20 PM, and the data from the data transmission device from 8:20 PM to 8:59 PM can be added to form a new hourly data storage starting at 8:00 PM, which is stored in one file, and the other data is placed in other files.

[0066] This invention utilizes incremental data recovery to rapidly recover seismic data, effectively reducing data duplication conflicts and overwriting, lowering data transmission bandwidth requirements, and improving the utilization rate of data transmission equipment. This invention serves the exploration and development of minerals, conventional oil and gas, shale oil and gas, and coalbed methane.

[0067]

Example 6

[0068] This invention provides a fusion preprocessing device for 5G smart node data recycling, including a 5G smart node, a cloud server, and a central processing unit;

[0069] 5G smart nodes are used to collect raw seismic data and upload it to a cloud server; they are also used to upload missing data to a central processor via indoor small base stations.

[0070] The central processing unit (CPU) is used to scan data from the cloud server, identify missing data, and perform data fusion processing.

[0071] The device specifically implements the following operational steps:

[0072] Step 1: 5G smart nodes collect raw seismic data;

[0073] Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server. Specific operations include:

[0074] During geophysical exploration, 5G smart nodes (which are seismic exploration instruments) are connected to cloud servers via 5G radio frequency modules. The 5G smart nodes upload the raw seismic data they collect to the cloud servers using different strategies such as real-time, time-sharing, and timed uploads.

[0075] The raw seismic data uploaded to the cloud server is stored with timestamps in seconds. For ease of data transmission and processing, files are typically created and stored hourly. Once one hour of raw seismic data (3600 seconds) is acquired, a new file is created and stored. If the signal is interrupted, data transmission resumes from the reconnection time until one hour of raw data is collected, at which point a new file is created and stored.

[0076] Step 3: The central processing unit scans the data on the cloud server and identifies missing data. Specific operations include:

[0077] After the geophysical exploration is completed, the central processing unit (CPU) is connected to the cloud server via Ethernet. The CPU scans the existing data on the cloud server, counts the missing data, and creates a missing data statistics table based on the results.

[0078] Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations. Specific operations include:

[0079] The 5G smart node is recycled to the data factory, and the 5G smart node is connected to the central processor through an indoor small base station. The 5G smart node to be recycled switches to data recycling mode according to the narrowband broadcast command. This mode does not require GPS time synchronization or data collection. The narrowband broadcast command is issued by the gateway controlled by the central processor.

[0080] After the 5G smart node switches to data recycling mode, it first obtains the missing data statistics table established by the central processing unit from the indoor small base station, and then uploads the missing data to the central processing unit for storage according to the nodes (that is, individual 5G smart nodes) in the missing data statistics table, realizing incremental data backhaul.

[0081] When a 5G smart node fails to power on due to a power supply failure or has not uploaded data due to network issues, requiring a large amount of data to be uploaded, data can be recycled through a data transmission device. The node on the data transmission device is equivalent to a drive mounted on the central processing unit, allowing direct selection of the required raw seismic data for transmission. Furthermore, given the larger bandwidth and higher stability of wired data transmission, incremental data recycling can be performed only on data with blasting timestamps to overwrite the cloud server.

[0082] Step 5: The central processing unit performs data fusion processing, which includes the following operations:

[0083] The central processing unit (CPU) acquires data stored in the cloud server, integrates the acquired data with the missing data, and synthesizes the data with the start timestamp as the file name into one hour of raw seismic data by time offset, which is then provided for subsequent processing and interpretation applications.

[0084] For example, if the earthquake data stored on the cloud server starts recording from 7:45 PM to 8:20 PM, and the data transmission device incrementally records data from 8:20 PM to 9:20 PM, then the earthquake data stored on the cloud server can be divided into the data from 8:00 PM to 8:20 PM, and the data from the data transmission device from 8:20 PM to 8:59 PM can be added to form a new hourly data storage starting at 8:00 PM, which is stored in one file, and the other data is placed in other files.

[0085] 5G smart nodes can directly upload raw seismic data to cloud servers via 5G networks during exploration. However, due to the coverage and instability of wireless networks, some data will inevitably be missing. If the raw seismic data stored locally on the 5G smart nodes is still retrieved via data download using traditional methods, it wastes data transmission equipment and consumes a significant amount of manpower and time. This invention utilizes incremental retrieval to quickly complete the retrieval of seismic data, effectively reducing conflicts and overlays in the retrieval of duplicate data, lowering the data transmission bandwidth requirements, and improving the utilization rate of data transmission equipment. This invention serves the exploration and development of minerals, conventional oil and gas, shale oil and gas, and coalbed methane.

[0086] The above technical solution is only one embodiment of the present invention. For those skilled in the art, based on the principles disclosed in the present invention, it is easy to make various types of improvements or modifications, and not limited to the technical solutions described in the specific embodiments of the present invention. Therefore, the foregoing description is only a preferred option and is not restrictive.

Claims

1. A fusion preprocessing method for 5G smart node data recycling, characterized in that, include: Step 1: 5G smart nodes collect raw seismic data; Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server; Step 3: The central processing unit scans the data on the cloud server and identifies missing data; Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations; Step 5: The central processing unit performs data fusion processing.

2. The method according to claim 1, characterized in that, Step 2: The 5G smart node uploads the collected raw seismic data to the cloud server. Specific operations include: During geophysical exploration, 5G smart nodes are connected to cloud servers via 5G radio frequency modules to upload the collected raw seismic data to the cloud servers.

3. The method according to claim 2, characterized in that, The raw earthquake data uploaded to the cloud server is stored with timestamps in seconds.

4. The method according to claim 1, characterized in that, Step 3: The central processing unit scans the data on the cloud server and identifies missing data. Specific operations include: After the geophysical exploration is completed, the central processing unit (CPU) is connected to the cloud server via Ethernet. The CPU scans the data stored in the cloud server, counts the missing data, and creates a missing data statistics table based on the statistical results.

5. The method according to claim 1, characterized in that, Step 4: The 5G smart node switches to data recycling mode and uploads the missing data to the central processor via indoor small base stations. Specific operations include: The 5G smart nodes are recycled to the data factory, where they are connected to the central processing unit via indoor small base stations. The 5G smart node with data to be recycled switches to data recycling mode according to the narrowband broadcast command. After the 5G smart node switches to data recycling mode, it first obtains the missing data statistics table established by the central processing unit from the indoor small base station, and then uploads the missing data to the central processing unit for storage based on the information in the missing data statistics table, realizing incremental data backhaul.

6. The method according to claim 1, characterized in that, Step 5: The central processing unit performs data fusion processing, which includes the following operations: The central processing unit acquires data stored in the cloud server, integrates the acquired data with the missing data, and synthesizes the raw one-hour earthquake data by using the data with the start timestamp as the file name and time offset.

7. A fusion preprocessing device for 5G smart node data recycling, characterized in that, Includes 5G smart nodes, cloud servers, and central processing units; 5G smart nodes are used to collect raw seismic data and upload it to a cloud server; they are also used to upload missing data to a central processor via indoor small base stations. The central processing unit (CPU) is used to scan data from the cloud server, identify missing data, and perform data fusion processing.

8. The apparatus according to claim 7, characterized in that, The 5G smart node switches to data recycling mode according to the narrowband broadcast command and uploads the missing data to the central processor through the indoor small base station.

9. The application of the fusion preprocessing method for 5G smart node data recovery as described in any one of claims 1-6 in seismic data recovery.

10. The application of the fusion preprocessing device for 5G smart node data recovery as described in claim 7 or 8 in seismic data recovery.

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