CN116668989A - Transmission management method and system based on 5G network in railway edge scene - Google Patents
Transmission management method and system based on 5G network in railway edge scene Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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Abstract
The invention discloses a transmission management method and a system based on a 5G network in a railway edge scene, wherein the method comprises the following steps: the edge acquisition node automatically deploys the customized application issued by the remote management platform and performs customized data acquisition by utilizing the data acquisition system of the edge acquisition node; preprocessing the acquired data by using an application deployed in the edge acquisition node, and analyzing the preprocessed acquired data; the edge acquisition node transmits the analyzed data to a remote management platform by using a preset transmission strategy, and the remote management platform is used for verifying the received data. The invention not only can finish most of data processing work on the edge side, so that the data transmitted by the edge side to the remote management platform is greatly reduced, and the timeliness of the data is effectively improved, but also can determine the storage location according to the rule, and the method is more reliable than the existing manual selection storage location, ensures the reliability of the transmitted data, and reduces the risk of data loss.
Description
Technical Field
The invention relates to the technical field of edge calculation, in particular to a transmission management method and system based on a 5G network in a railway edge scene.
Background
At present, in the existing situation, under the edge scene of a railway, data such as video and running collected by a train are mainly reported by manpower. The method mainly comprises the following steps: firstly, data collected by a train are required to be stored in a hard disk of the train, then the hard disk is delivered to a station worker when the train stops, then the worker posts the data hard disk to a data center, and finally the data center receives the hard disk and performs data analysis. The steps mainly refer to running trains, and some edge devices such as cameras and the like depend on the existing railway communication cables. However, when bandwidth is a bottleneck, it is a difficulty how to handle the larger and larger data generated by the equipment and trains.
However, the prior art has mainly the following drawbacks:
1) The timeliness is poor, the timeliness of the postal system is relied on when the existing flow is used for reporting data, and even the fastest postal service at present, the timeliness is at least more than 12 hours. Such timeliness is unacceptable in the case of video data to be analyzed, such as railway faults.
2) The cost is higher, and current scheme needs a large amount of personnel to participate in, and the human cost is higher. The mailing is costly using a mailing approach. One second 1080P30FPS video file size is about 20MB-30MB, and the transmission line of the existing railway is about 50Mbps-100Mbps, which cannot meet the requirement of video transmission. Depending on the existing railway transmission cable, the expansion cost for the bandwidth is high.
3) The data reliability is poor, because the mode of collecting and processing the data is adopted, if the collected data is lost or damaged, the collected data cannot be collected again immediately, and the subsequent data analysis flow is affected.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a transmission management method and a transmission management system based on a 5G network in a railway edge scene, which are mainly used for solving the problems that collected data can be immediately uploaded to a data center depending on the existing 5G network and can be immediately processed when the problem of the data is found. By the method, the collected data can be processed in real time at extremely low cost, and the result is transmitted to the data center for processing. Each collecting edge node for collecting data can be managed uniformly, so that the technical problems existing in the prior related art can be overcome.
For this purpose, the invention adopts the following specific technical scheme:
according to one aspect of the present invention, there is provided a transmission management method in a railway edge scenario based on a 5G network, the method comprising the steps of:
s1, automatically deploying custom-made applications issued by a remote management platform by an edge acquisition node, and carrying out custom-made data acquisition by utilizing a data acquisition system of the edge acquisition node;
s2, preprocessing the acquired data by using an application deployed in an edge acquisition node, and analyzing the preprocessed acquired data;
s3, the edge acquisition node transmits the analyzed data to a remote management platform by using a preset transmission strategy, and the remote management platform is used for verifying the received data.
Further, before the edge collection node automatically deploys the customized application issued by the remote management platform, the method further comprises the following steps: the edge collection node sends a registration request to a remote management platform, and the remote management platform receives the registration request of the edge collection node and completes registration.
Further, the preprocessing of the collected data by the application deployed in the edge collection node and the analysis of the preprocessed collected data includes the following steps:
s21, the edge acquisition node preprocesses the acquired data according to the type of the data by using the self-deployed application;
s22, analyzing the preprocessed collected data by utilizing the edge collection node, and filtering error data;
s23, judging whether the preprocessed data is abnormal, if so, re-collecting the data for analysis and judgment, and giving out an error alarm when the multiple analysis and judgment results are consistent and abnormal, and if not, executing S3.
Further, the types of the data comprise video data, image data and audio data;
when the acquired data is video data, the preprocessing comprises frame extraction processing of the video data and AI image recognition of the frame extracted data;
when the acquired data is image data, the preprocessing comprises AI identification processing of the image data, extracting key information and reporting the key information;
when the acquired data are audio data, the preprocessing comprises AI audio recognition processing of the audio data and event extraction of recognition results.
Further, the edge collection node transmits the analyzed data to the remote management platform by using a preset transmission strategy, and the received data is checked by using the remote management platform, which comprises the following steps:
s31, the edge acquisition node sends a request for applying for a storage node to a remote management platform;
s32, the remote management platform receives the request of the storage node and distributes the optimal storage node for the edge acquisition node according to the geographic position and the network condition of the edge acquisition node;
s33, the remote management platform sends the network address of the optimal storage node to the edge acquisition node, allocates indexes of the data fragments acquired by the edge node, and stores the allocated indexes to a cloud; specifically, the cloud allocates a data index, the index is stored in the cloud, and specific data is stored in the transmission server or a storage cluster accessed by the transmission server.
S34, performing slicing processing on the large file in the analyzed data by using a data acquisition system, and transmitting the file (refer to the sliced data) to an optimal storage node according to the allocated index;
s35, storing all the fragment data into a transmission queue, and adjusting fragments in the transmission queue according to the change of the 5G network condition;
s36, the remote management platform receives the data sent by the transmission queue and verifies the integrity of the received data.
Further, the index generation rule is specified according to the service requirement.
Further, the adjusting the fragments in the transmission queue according to the change of the 5G network condition includes:
when the signal is in a stronger zone, the fragments in the transmission queue normally transmit, and when the signal is weakened or vanished, the transmission queue reduces the speed of transmitting the data packet or pauses transmitting the data.
According to another aspect of the invention, there is provided a 5G network-based transmission management system in a railway edge scene, the system comprising a cloud control plane and a plurality of edge acquisition nodes;
the cloud control plane comprises an edge node management system, a data processing system, an application issuing system and a cloud transmission control system;
the edge acquisition node comprises a 5G communication module, a node transmission control system, a data acquisition system and an application arrangement system;
the edge node management system is used for setting the access mode and authority of the edge acquisition node and is also used for adding, deleting, modifying or inquiring the edge acquisition node;
the data processing system is used for processing the data uploaded by each edge acquisition node, storing the index of the data stored by each edge acquisition node, and accessing a disaster recovery backup system to carry out disaster recovery backup on the data of each edge acquisition node;
the application issuing system is used for pushing the application to the edge side, so that automatic deployment and update of the application are realized;
the cloud transmission control system is used for controlling the process of transmitting and receiving data packets and is also used for accessing a storage node to which the storage system is connected for distributing and uploading data;
the 5G communication module is used for transmitting the data processing result of the edge acquisition section;
the node transmission control system is used for cooperating with the 5G communication module to complete the receiving and transmitting control of data, and is also used for cooperating with a remote management platform to transmit the data to a designated storage space;
the data acquisition system is used for acquiring data of the running condition of the edge acquisition node and also used for acquiring surrounding information of the edge acquisition node;
the application programming system is used for running an acquired information analysis application, preprocessing acquired video, picture and audio information, reporting the result to a cloud control plane, running an alarm management application, periodically checking the running health condition of an edge acquisition node, and performing error filtering on the preprocessing result to acquire required data again in a targeted manner.
The beneficial effects of the invention are as follows:
1) According to the cloud edge cooperative mode provided by the invention, the edge measurement can be responsible for collecting and preprocessing data, the cloud management is responsible for analyzing the data, controlling the data storage and managing the edge measurement application, so that most of processing work of the data is finished at the edge side, the data transmitted by the far-end management platform at the edge side is greatly reduced, and the collected data only needs to be subjected to subsequent analysis statistics. The data sending mode based on the 5G module can also be based on the existing infrastructure architecture, and compared with the scheme of the existing mailing hard disk, the timeliness of the invention is greatly improved, and the real-time acquisition and analysis of data can be basically realized.
2) The storage scheme provided by the invention is selected, so that the data acquired by edge measurement needs to be applied for a storage space in the remote management platform, and the remote management platform can allocate an optimal storage node according to the geographic position and the network condition of the edge acquisition node. And the data is fragmented before transmission begins. The cloud end generates a component index according to the customized rule, and is convenient to access to the disaster recovery and backup system subsequently. By selecting the optimal storage node, the best effect of transmission can be achieved under different network environments. Compared with the prior art, the data of the invention can customize the storage rules, and the storage location is determined according to the rules, so that the data is more reliable than the prior manual selection of the storage location.
3) The transmission control scheme provided by the invention enables the control of the receiving and transmitting queue to well solve the problem of transmission stability caused by unstable signals. The invention also solves the problem of disaster recovery backup of transmission by processing the fragments and indexes of the files. And the reliability of the transmission is ensured by checking after the transmission is completed. Compared with the prior art, the invention ensures the reliability of data transmission and greatly reduces the risk of data loss.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a transmission management method in a railway edge scenario based on a 5G network according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a transmission management method in a railway edge scenario based on a 5G network according to an embodiment of the present invention;
fig. 3 is a block diagram of a transmission management system in a railway edge scenario based on a 5G network according to an embodiment of the present invention.
Detailed Description
For the purpose of further illustrating the various embodiments, the present invention provides the accompanying drawings, which are a part of the disclosure of the present invention, and which are mainly used to illustrate the embodiments and, together with the description, serve to explain the principles of the embodiments, and with reference to these descriptions, one skilled in the art will recognize other possible implementations and advantages of the present invention, wherein elements are not drawn to scale, and like reference numerals are generally used to designate like elements.
According to the embodiment of the invention, a transmission management method and a transmission management system based on a 5G network in a railway edge scene are provided.
The present invention will be further described with reference to the accompanying drawings and detailed description, as shown in fig. 1-2, according to one embodiment of the present invention, there is provided a transmission management method in a railway edge scenario based on a 5G network, the method comprising the steps of:
s1, automatically deploying custom-made applications issued by a remote management platform by an edge acquisition node, and carrying out custom-made data acquisition by utilizing a data acquisition system of the edge acquisition node.
Specifically, the remote management platform will issue the customized application to the edge side (the edge side is made up of several edge collection nodes), where collection has not yet started. After the automatic deployment of the issuing application is successful, the data acquisition system is invoked to perform customized data acquisition (the acquired data is according to the usage field Jing Dingyi and is not fixed, such as video analysis, video acquisition, vehicle state information acquisition speed and the like). All the edge collection nodes are registered in a remote management platform, and for the life cycle of deployment and application, all the nodes and the application can be managed in the remote management platform.
S2, preprocessing the acquired data by using the application deployed in the edge acquisition node, and analyzing the preprocessed acquired data.
The application deployed in the edge collection node is utilized to preprocess the collected data, and the preprocessed collected data is analyzed, which comprises the following steps:
s21, the edge acquisition node preprocesses the acquired data according to the type of the data by using the self-deployed application.
Specifically, the collected data is preprocessed at the edge collection node according to the deployment application. The method can be particularly divided into video, image and audio. The edge acquisition node can perform frame extraction processing on the video and then perform AI image test. The edge acquisition node performs AI test on the image information, extracts key information and reports the key information. The edge collection node performs AI audio test on the audio information, and event extraction is performed on the result.
S22, analyzing the preprocessed collected data by utilizing the edge collecting node, and filtering error data.
Specifically, the means for processing the collected data in this embodiment is not fixed, and needs to be determined according to the scene, for example, which abnormal states appear in the collected video data and which abnormal data appear in the collected vehicle operation data are analyzed.
S23, judging whether the preprocessed data is abnormal, if so, re-collecting the data for analysis and judgment, and giving out an error alarm when the multiple analysis and judgment results are consistent and abnormal, and if not, executing S3.
Specifically, the error data in this embodiment indicates that the error data is significantly deviated from the normal value, for example, 3 consecutive abnormal values may be used to identify the error data, and only 1 abnormal value may identify the error data acquisition.
S3, the edge acquisition node transmits the analyzed data to a remote management platform by using a preset transmission strategy, and the remote management platform is used for verifying the received data.
Specifically, for the analyzed data, the edge collection node transmits it to the remote management platform. The transmission process mainly comprises two stages of node selection and transmission control, and the specific strategies are as follows:
1) Selecting a node stage:
before transmission, the edge collection node sends a request to the remote management platform to apply for the storage node, and the remote management platform allocates an optimal storage node according to the geographic position and the network condition of the edge collection node and sends the network address of the optimal storage node to the edge collection node for transmission.
After the allocation of the optimal storage nodes is completed, the remote management platform allocates the index of the data fragment and stores the index in the remote management platform, and the generation rule of the index can be specified according to the service requirement.
2) And a transmission control stage:
when transmitting the file, the data acquisition system fragments the large file and transmits the file to a designated storage node (optimal storage node) according to the index generated in the step of selecting the node.
All the fragmented data will enter the transmission queue (the data in the transmission queue will be transmitted to the designated storage node according to the control command of the cloud). Because of the specificity of the 5G signal, the transmit queues are adjusted according to changes in network conditions. When in a region where the signal is strong (e.g., around a city, town, village, or along a well-established railway of a base station, the signal is weak, e.g., mountain area, tunnel), the transmission proceeds normally. When the signal becomes weak or vanishes, the transmission queue may reduce the speed of transmitting the data packet to adjust, and even suspend transmitting the data.
After the transmission is finished, the transmission system of the cloud control plane can check the integrity of the file, and ensure that the file is transmitted without errors.
According to another embodiment of the present invention, as shown in fig. 3, there is provided a transmission management system in a railway edge scene based on a 5G network, where the system includes a cloud control plane and a plurality of edge acquisition nodes;
the cloud control plane comprises an edge node management system, a data processing system, an application issuing system and a cloud transmission control system;
the edge acquisition node comprises a 5G communication module, a node transmission control system, a data acquisition system and an application arrangement system;
the edge node management system is used for setting the access mode and authority of the edge acquisition node and is also used for adding, deleting, modifying or inquiring the edge acquisition node;
the data processing system is used for processing the data uploaded by each edge acquisition node, storing the index of the data stored by each edge acquisition node, and accessing a disaster recovery backup system to carry out disaster recovery backup on the data of each edge acquisition node;
the application issuing system is used for pushing the application to the edge side, so that automatic deployment and update of the application are realized;
the cloud transmission control system is used for controlling the process of transmitting and receiving data packets and is also used for accessing a storage node to which the storage system is connected for distributing and uploading data;
the 5G communication module is used for transmitting the data processing result of the edge acquisition section;
the node transmission control system is used for cooperating with the 5G communication module to complete the receiving and transmitting control of data, and is also used for cooperating with a remote management platform to transmit the data to a designated storage space.
Due to the specificity of the 5G signal, a data transceiving queue needs to be created. When an edge collection node like a train enters a no-signal or weak-signal state, data is added into a receiving and transmitting queue, and the receiving and transmitting actions are suspended. Specifically, when the communication delay with the control plane is greater than 300ms, it is defined as a weak signal. The transmission is resumed when the network is restored, and resumed when the communication delay is less than 250 ms. When transmission is resumed, the transmission is started first according to the queue order. When the transmission is restored, the edge acquisition node tries to establish a link with the control plane, transmits a login message to the cloud control plane, and establishes reestablishment connection if the login is successful;
the data acquisition system is used for acquiring data of the running condition of the edge acquisition node and also used for acquiring surrounding information of the edge acquisition node, such as video, pictures, audio and the like;
the application programming system is used for running the acquired information analysis application, preprocessing the acquired information such as video, pictures and audio, reporting the result to a cloud control plane, running the alarm management application, periodically checking the running health condition of the edge acquisition node, and performing error filtering on the preprocessing result, so that the required data can be acquired again in a targeted manner.
In summary, by means of the above technical solution of the present invention, the cloud edge cooperative mode provided by the present invention enables edge measurement to be responsible for collecting and preprocessing data, cloud management is responsible for analyzing data, controlling data storage and managing edge measurement application, so that most of processing work of data is completed on an edge side, data transmitted from the edge side to a remote management platform is greatly reduced, and collected data only needs to be subjected to subsequent analysis statistics. The data sending mode based on the 5G module can also be based on the existing infrastructure architecture, and compared with the scheme of the existing mailing hard disk, the timeliness of the invention is greatly improved, and the real-time acquisition and analysis of data can be basically realized.
In addition, the storage scheme provided by the invention is selected, so that the data acquired by edge measurement needs to be applied for a storage space in the remote management platform, and the remote management platform can allocate an optimal storage node according to the geographic position and the network condition of the edge acquisition node. And the data is fragmented before transmission begins. The cloud end generates a component index according to the customized rule, and is convenient to access to the disaster recovery and backup system subsequently. By selecting the optimal storage node, the best effect of transmission can be achieved under different network environments. Compared with the prior art, the data of the invention can customize the storage rules, and the storage location is determined according to the rules, so that the data is more reliable than the prior manual selection of the storage location.
In addition, the transmission control scheme provided by the invention enables the control of the receiving and transmitting queue to well solve the problem of transmission stability caused by unstable signals. The invention also solves the problem of disaster recovery backup of transmission by processing the fragments and indexes of the files. And the reliability of the transmission is ensured by checking after the transmission is completed. Compared with the prior art, the invention ensures the reliability of data transmission and greatly reduces the risk of data loss.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (8)
1. The transmission management method based on the 5G network in the railway edge scene is characterized by comprising the following steps:
s1, automatically deploying custom-made applications issued by a remote management platform by an edge acquisition node, and carrying out custom-made data acquisition by utilizing a data acquisition system of the edge acquisition node;
s2, preprocessing the acquired data by using an application deployed in an edge acquisition node, and analyzing the preprocessed acquired data;
s3, the edge acquisition node transmits the analyzed data to a remote management platform by using a preset transmission strategy, and the remote management platform is used for verifying the received data.
2. The transmission management method based on the 5G network in the railway edge scene according to claim 1, wherein before the edge collection node automatically deploys the custom application issued by the remote management platform, the method further comprises the following steps: the edge collection node sends a registration request to a remote management platform, and the remote management platform receives the registration request of the edge collection node and completes registration.
3. The transmission management method in a railway edge scene based on a 5G network according to claim 1, wherein the preprocessing of the collected data by the application deployed in the edge collection node and the analysis of the preprocessed collected data comprises the steps of:
s21, the edge acquisition node preprocesses the acquired data according to the type of the data by using the self-deployed application;
s22, analyzing the preprocessed collected data by utilizing the edge collection node, and filtering error data;
s23, judging whether the preprocessed data is abnormal, if so, re-collecting the data for analysis and judgment, and giving out an error alarm when the multiple analysis and judgment results are consistent and abnormal, and if not, executing S3.
4. A transmission management method in a railway edge scene based on a 5G network according to claim 3, wherein the type of data includes video data, image data and audio data;
when the acquired data is video data, the preprocessing comprises frame extraction processing of the video data and AI image recognition of the frame extracted data;
when the acquired data is image data, the preprocessing comprises AI identification processing of the image data, extracting key information and reporting the key information;
when the acquired data are audio data, the preprocessing comprises AI audio recognition processing of the audio data and event extraction of recognition results.
5. The transmission management method based on the 5G network in the railway edge scene according to claim 1, wherein the edge collection node transmits the analyzed data to the remote management platform by using a preset transmission policy, and the received data is checked by using the remote management platform, comprising the following steps:
s31, the edge acquisition node sends a request for applying for a storage node to a remote management platform;
s32, the remote management platform receives the request of the storage node and distributes the optimal storage node for the edge acquisition node according to the geographic position and the network condition of the edge acquisition node;
s33, the remote management platform sends the network address of the optimal storage node to the edge acquisition node, allocates indexes of the data fragments acquired by the edge node, and stores the allocated indexes to the remote management platform;
s34, performing slicing processing on the large file in the analyzed data by utilizing a data acquisition system, and transmitting the file to an optimal storage node according to the distributed index;
s35, storing all the fragment data into a transmission queue, and adjusting fragments in the transmission queue according to the change of the 5G network condition;
s36, the remote management platform receives the data sent by the transmission queue and verifies the integrity of the received data.
6. The transmission management method based on the 5G network in the railway edge scenario according to claim 5, wherein the generation rule of the index is specified according to the service requirement.
7. The method for managing transmissions in a railway edge scenario based on a 5G network according to claim 5, wherein the adjusting the fragmentation in the transmission queue according to the change of the 5G network condition comprises:
when the signal is in a stronger zone, the fragments in the transmission queue normally transmit, and when the signal is weakened or vanished, the transmission queue reduces the speed of transmitting the data packet or pauses transmitting the data.
8. A 5G network-based transmission management system in a railway edge scene, for implementing the steps of the 5G network-based transmission management method in a railway edge scene of any one of claims 1-7, characterized in that the system comprises a cloud control plane and a plurality of edge acquisition nodes;
the cloud control plane comprises an edge node management system, a data processing system, an application issuing system and a cloud transmission control system;
the edge acquisition node comprises a 5G communication module, a node transmission control system, a data acquisition system and an application arrangement system;
the edge node management system is used for setting the access mode and authority of the edge acquisition node and is also used for adding, deleting, modifying or inquiring the edge acquisition node;
the data processing system is used for processing the data uploaded by each edge acquisition node, storing the index of the data stored by each edge acquisition node, and accessing a disaster recovery backup system to carry out disaster recovery backup on the data of each edge acquisition node;
the application issuing system is used for pushing the application to the edge side, so that automatic deployment and update of the application are realized;
the cloud transmission control system is used for controlling the process of transmitting and receiving data packets and is also used for accessing a storage node to which the storage system is connected for distributing and uploading data;
the 5G communication module is used for transmitting the data processing result of the edge acquisition section;
the node transmission control system is used for cooperating with the 5G communication module to complete the receiving and transmitting control of data, and is also used for cooperating with a remote management platform to transmit the data to a designated storage space;
the data acquisition system is used for acquiring data of the running condition of the edge acquisition node and also used for acquiring surrounding information of the edge acquisition node;
the application programming system is used for running an acquired information analysis application, preprocessing acquired video, picture and audio information, reporting the result to a cloud control plane, running an alarm management application, periodically checking the running health condition of an edge acquisition node, and performing error filtering on the preprocessing result to acquire required data again in a targeted manner.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110135273A (en) * | 2019-04-19 | 2019-08-16 | 中铁第一勘察设计院集团有限公司 | Contact net video image cloud intellectual monitoring and fault recognition method |
| CN112511586A (en) * | 2020-10-21 | 2021-03-16 | 中国铁道科学研究院集团有限公司通信信号研究所 | High-speed railway intelligent traffic scheduling safety card control system based on cloud edge cooperation |
| CN114489482A (en) * | 2021-12-24 | 2022-05-13 | 炫彩互动网络科技有限公司 | Edge node storage method based on user sharing |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110135273A (en) * | 2019-04-19 | 2019-08-16 | 中铁第一勘察设计院集团有限公司 | Contact net video image cloud intellectual monitoring and fault recognition method |
| CN112511586A (en) * | 2020-10-21 | 2021-03-16 | 中国铁道科学研究院集团有限公司通信信号研究所 | High-speed railway intelligent traffic scheduling safety card control system based on cloud edge cooperation |
| CN114489482A (en) * | 2021-12-24 | 2022-05-13 | 炫彩互动网络科技有限公司 | Edge node storage method based on user sharing |
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