Computing power network data transmission method and system under weak network condition

By using terminal AI algorithms in computing power networks to identify abnormal data and select paths with the smallest network delay for shard transmission, the problem of data transmission failure and loss under weak network conditions is solved, and the transmission success rate and rate are improved.

CN119544562APending Publication Date: 2025-02-28INSPUR COMM TECH CO LTD
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Patent Information

Application Number
CN202411687526.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

Under weak network conditions, the data transmission of computing power networks is easily affected by factors such as network signal instability, bandwidth limitation and network delay, resulting in data transmission failure, increased delay or data loss.

Method used

The AI ​​algorithm of the computing power terminal recognizes abnormal pictures and video information, and detects network delay between the current computing power terminal devices, and selects a device with stable network delay for data transmission. Data is sharded during transmission and received and merged through the cloud to ensure the integrity and reliability of the data.

Benefits of technology

It effectively solves the problems of data loss and transmission failure under weak network conditions, improves the success rate and speed of data transmission, and ensures reliable data transmission.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of edge computing, and particularly provides a computing power network data transmission method and system under a weak network condition, and the method comprises the following steps: S1, recognizing abnormal pictures and video information through an AI algorithm of a computing power terminal; s2, the current computing power terminal equipment sends a network detection command to other surrounding computing power terminal equipment to detect the network delay condition between the current computing power terminal equipment and other computing power terminal equipment; s3, the current computing power terminal device sends a cloud network detection command to other computing power terminal devices; s4, the current computing power terminal equipment selects the computing power terminal equipment with small network stability delay to send the picture and video information; s5, the selected computing power terminal equipment fragments the picture and the video; s6, the cloud side receives all the fragments and merges all the fragments into a file after the MD5 verification of the fragments is correct; and S7, after the file is combined, notifying a user of abnormal information through alarm. Compared with the prior art, the data transmission success rate and the transmission rate under the weak network condition can be improved.
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Description

Technical Field

[0001] The present invention relates to the field of edge computing technology, and specifically provides a method and system for computing power network data transmission under weak network conditions. Background Art

[0002] In the current digital age, computing networks, as infrastructure supporting large-scale data processing and computing, are crucial to the stability and efficiency of data transmission. However, under weak network conditions, such as unstable network signals, limited bandwidth, or high network latency, data transmission on computing networks is often severely affected, leading to data transmission failures, increased latency, or data loss.

[0003] Existing data transmission methods often lack effective response strategies when facing weak network conditions and are unable to dynamically adjust transmission strategies according to network conditions, thus affecting the stability and efficiency of data transmission. Summary of the invention

[0004] In view of the deficiencies of the above-mentioned prior art, the present invention provides a highly practical computing power network data transmission method under weak network conditions.

[0005] A further technical task of the present invention is to provide a computing power network data transmission system that is reasonably designed, safe and applicable under weak network conditions.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] A method for transmitting computing power network data under weak network conditions comprises the following steps:

[0008] S1. Computing terminal AI algorithm identifies abnormal images and video information;

[0009] S2. The current computing power terminal device sends a network detection command to other computing power terminal devices around it to detect the network delay between the current computing power terminal device and other computing power terminal devices;

[0010] S3. The current computing power terminal device sends a cloud network detection command to other computing power terminal devices;

[0011] S4. The current computing power terminal device selects a computing power terminal device with stable network and small delay to send pictures and video information;

[0012] S5. The selected computing power terminal device divides the image and video into slices;

[0013] S6. After the cloud receives all the shards and the MD5 verification of the shards is correct, the shards are merged into a file;

[0014] S7. After the cloud receives all the fragments and the MD5 verification of the fragments is correct, it merges the fragments into a file and notifies the user of the abnormal information through an alarm.

[0015] Furthermore, in step S3, the other computing power terminal devices execute the detection command to detect the network conditions of each of them to the cloud, and return the network delay information to the current computing power terminal device.

[0016] Furthermore, in step S4, the current computing power terminal device selects a computing power terminal device with a stable network and a small delay to send pictures and video information according to the network delay between the current computing power terminal device and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

[0017] Furthermore, in step S5, after the image or video is segmented, the segments, the number of segments, and the MD5 value of each segment are uploaded to the cloud. After receiving the segments, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, the segment is uploaded again.

[0018] A computing network data transmission system under weak network conditions, including a terminal AI algorithm module, a cloud and several computing terminal devices;

[0019] The terminal AI recognition module is used to identify abnormal pictures and videos;

[0020] The computing power terminal device is used to detect the network delay from the current computing power terminal device to other surrounding computing power terminal devices and the network conditions of each computing power terminal device to detect its own connection to the cloud;

[0021] The cloud receives all the segments and merges the segments into a file and notifies the user of abnormal information through an alarm.

[0022] Furthermore, the current computing power terminal device among the computing power terminal devices selects a computing power terminal device with a stable network and a small delay to send pictures and video information according to the network delay between it and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

[0023] Furthermore, the selected computing power terminal device divides the image and video into slices, and then uploads the slices, the number of slices, and the MD5 value of each slice to the cloud. After receiving the slices, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, it re-uploads the slice.

[0024] Furthermore, after the cloud receives all the fragments and the MD5 verification of the fragments is correct, the fragments are merged into a file and the abnormal information is notified to the user through an alarm.

[0025] Compared with the prior art, the method and system for transmitting computing power network data under weak network conditions of the present invention have the following outstanding beneficial effects:

[0026] The present invention provides a technical solution for data transmission failure or data loss caused by unstable network signals of computing power terminal devices, high network delay, etc. This method can solve the problems of data loss and transmission failure under weak network conditions, and improve the data transmission success rate and transmission rate under weak network conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Attached Figure 1 It is a flowchart of a computing power network data transmission method under weak network conditions. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] A best embodiment is given below:

[0031] like Figure 1 As shown, a computing power network data transmission method under a weak network condition in this embodiment has the following steps:

[0032] S1. Computing terminal AI algorithm identifies abnormal images and video information;

[0033] S2. The current computing power terminal device sends a network detection command to other computing power terminal devices around it to detect the network delay between the current computing power terminal device and other computing power terminal devices;

[0034] S3. The current computing power terminal device sends a cloud network detection command to other computing power terminal devices. Other computing power terminal devices execute the detection command to detect their respective network conditions to the cloud, and return network delay information to the current computing power terminal device.

[0035] S4. The current computing power terminal device selects a computing power terminal device with a stable network and small delay to send pictures and video information according to the network delay between the current computing power terminal device and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

[0036] S5. The selected computing power terminal device divides the image and video into slices, and then uploads the slices, the number of slices, and the MD5 value of each slice to the cloud. After receiving the slices, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, it re-uploads the slice.

[0037] S6. After the cloud receives all the shards and the MD5 verification of the shards is correct, the shards are merged into a file;

[0038] S7. After the cloud receives all the fragments and the MD5 verification of the fragments is correct, it merges the fragments into a file and notifies the user of the abnormal information through an alarm.

[0039] Based on the above method, a computing network data transmission system under weak network conditions in this embodiment includes a terminal AI algorithm module, a cloud and several computing terminal devices;

[0040] The terminal AI recognition module is used to identify abnormal images and videos;

[0041] The computing power terminal device is used to detect the network delay from the current computing power terminal device to other surrounding computing power terminal devices and the network conditions of each computing power terminal device to the cloud.

[0042] The cloud receives all the shards and merges them into files and notifies the user of abnormal information through alarms.

[0043] Among them, the current computing power terminal device in the computing power terminal devices selects a computing power terminal device with a stable network and a small delay to send pictures and video information according to the network delay between it and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

[0044] The selected computing power terminal device divides the image and video into slices, and then uploads the slices, the number of slices, and the MD5 value of each slice to the cloud. After receiving the slices, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, it re-uploads the slice.

[0045] After the cloud receives all the shards and the MD5 verification of the shards is correct, it merges the shards into a file and notifies the user of the abnormal information through an alarm.

[0046] This embodiment provides a technical solution for data transmission failure or data loss due to unstable network signals of computing power terminal devices, high network delay, etc. This method can solve the problems of data loss and transmission failure under weak network conditions, and improve the data transmission success rate and transmission rate under weak network conditions.

[0047] The above-mentioned specific implementations are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above-mentioned specific implementations. Any technical solutions that conform to the above-mentioned specific implementations of the present invention and any appropriate changes or substitutions made by ordinary technicians in the relevant technical field shall fall within the patent protection scope of the present invention.

[0048] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for transmitting computing power network data under weak network conditions, characterized in that: The steps are as follows: S1. Computing terminal AI algorithm identifies abnormal images and video information; S2. The current computing power terminal device sends a network detection command to other computing power terminal devices around it to detect the network delay between the current computing power terminal device and other computing power terminal devices; S3. The current computing power terminal device sends a cloud network detection command to other computing power terminal devices; S4. The current computing power terminal device selects a computing power terminal device with stable network and small delay to send pictures and video information; S5. The selected computing power terminal device divides the image and video into slices; S6. After the cloud receives all the shards and the MD5 verification of the shards is correct, the shards are merged into a file; S7. After the cloud receives all the fragments and the MD5 verification of the fragments is correct, it merges the fragments into a file and notifies the user of the abnormal information through an alarm.

2. According to the method for transmitting computing power network data under weak network conditions as described in claim 1, it is characterized in that: In step S3, the other computing power terminal devices execute the detection command to detect the network conditions of each of them to the cloud, and return the network delay information to the current computing power terminal device.

3. According to a method for transmitting computing power network data under weak network conditions as described in claim 2, it is characterized in that: In step S4, the current computing power terminal device selects a computing power terminal device with a stable network and a small delay to send pictures and video information according to the network delay between the current computing power terminal device and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

4. According to the method for transmitting computing power network data under weak network conditions as claimed in claim 3, it is characterized in that: In step S5, after the image or video is segmented, the segments, the number of segments, and the MD5 value of each segment are uploaded to the cloud. After receiving the segments, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, the segment is uploaded again.

5. A computing power network data transmission system under weak network conditions, characterized in that: Including terminal AI algorithm modules, cloud and several computing power terminal devices; The terminal AI recognition module is used to identify abnormal pictures and videos; The computing power terminal device is used to detect the network delay from the current computing power terminal device to other surrounding computing power terminal devices and the network conditions of each computing power terminal device to detect its own connection to the cloud; The cloud receives all the segments and merges the segments into a file and notifies the user of abnormal information through an alarm.

6. According to the weak network condition computing power network data transmission system of claim 5, it is characterized in that: The current computing power terminal device among the computing power terminal devices selects a computing power terminal device with a stable network and a small delay to send pictures and video information according to the network delay between it and other computing power terminal devices and the network conditions between each computing power terminal device and the cloud.

7. According to claim 6, a computing power network data transmission system under weak network conditions is characterized in that: The selected computing power terminal device divides the image and video into slices, and then uploads the slices, the number of slices, and the MD5 value of each slice to the cloud. After receiving the slices, the cloud returns a successful reception message. When the computing power terminal device does not receive the successful reception message returned by the cloud or the cloud returns a reception exception, it re-uploads the slice.

8. According to claim 7, a computing power network data transmission system under weak network conditions is characterized in that: After the cloud receives all the fragments and the MD5 verification of the fragments is correct, the fragments are merged into a file and the abnormal information is notified to the user through an alarm.

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