CN113079530A - Cloud edge collaborative operation and maintenance support system based on 5G slice - Google Patents
Cloud edge collaborative operation and maintenance support system based on 5G slice Download PDFInfo
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Abstract
The invention discloses a cloud edge collaborative operation and maintenance support system based on 5G slices, which comprises: the system comprises a cloud computing module, an edge computing node module and a 5G gateway module; the edge computing node module is in communication connection with the 5G gateway module, and is used for receiving data acquired by the 5G gateway module, processing the data to acquire processed data, wherein the 5G gateway module comprises a slice processing module, and the slice processing module is used for matching corresponding 5G slices according to classification and encapsulation of different data to perform data transmission; the cloud computing module is in communication connection with the edge computing node module and is used for receiving the processing data. According to the invention, by adopting cloud edge cooperation and combining a 5G slice communication technology, slice management is realized on transmission of different data, and the operation and maintenance capability of the system is improved.
Description
Technical Field
The invention relates to the technical field of 5G communication, in particular to a cloud edge collaborative operation and maintenance support system based on 5G slices.
Background
The development of the society promotes the improvement of the level of the power industry, but a single cloud computing platform in the traditional power industry is heavy in computing task and huge in computing pressure, and in addition, the traditional communication mode cannot meet the requirements of low time delay, high bandwidth and the like, so that the performance of the traditional operation and maintenance support system needs to be improved.
Although the problem of time delay is solved by the existing optical fiber communication scheme, the problem of bandwidth limitation still exists, the laying and maintenance of an optical fiber network consume much time, the development of remote management and maintenance is limited, video monitoring is mostly carried out in a local storage mode, and even though cloud transmission on data has a large time delay problem and a large quality problem, therefore, in the traditional operation and maintenance support system, the problem of time delay and bandwidth limitation is most prominent, and the power grid management system cannot respond to sudden situations in time.
Disclosure of Invention
The invention aims to provide a cloud edge cooperation operation and maintenance support system based on 5G slices, which adopts cloud edge cooperation and combines a 5G slice communication technology to realize slice management on transmission of different data and improve the operation and maintenance capacity of the system.
In order to achieve the above object, the present invention provides a cloud edge collaborative operation and maintenance support system based on 5G slices, which includes: the system comprises a cloud computing module, an edge computing node module and a 5G gateway module;
the edge computing node module is in communication connection with the 5G gateway module, and is used for receiving data acquired by the 5G gateway module, processing the data to acquire processed data, wherein the 5G gateway module comprises a slice processing module, and the slice processing module is used for matching corresponding 5G slices according to classification and encapsulation of different data to perform data transmission;
the cloud computing module is in communication connection with the edge computing node module and is used for receiving the processing data.
Preferably, the cloud computing module comprises a slice deployment module, and the slice deployment module is used for generating a slice model of each operation and maintenance point.
Preferably, the cloud computing module further comprises a four-remote module, and the four-remote module is used for adjusting the routing inspection task of the operation and maintenance node.
Preferably, the edge computing node module includes a data analysis module, and the data analysis module is used for local data acquisition and fault analysis calculation.
Preferably, the edge computing node module further includes an anomaly alarm module, and the anomaly alarm module is used for diagnosing cross-regional power utilization anomalies.
Preferably, the abnormal alarm module is further used for regulating and controlling processing and alarming aiming at load, overtemperature and local release.
Preferably, the abnormal alarm module is in communication connection with the cloud computing module, and the cloud computing module is configured to receive alarm data output by the abnormal alarm module.
Preferably, the edge computing node module further includes an image processing module, the image processing module is in communication connection with the cloud computing module, and the image processing module is configured to detect and identify an image target.
Preferably, the 5G gateway module further comprises a data processing module and a data acquisition module;
the data processing module is in communication connection with the data acquisition module;
the data acquisition module is used for acquiring various service data of the power distribution room;
the data processing module is used for receiving various service data of the power distribution room and packaging the various service data into a primary data packet.
Preferably, the 5G gateway module further comprises a 5G communication module;
the slicing processing module is used for receiving the primary data packet, matching the primary data packet with a preset SLA template and packaging the primary data packet into a secondary data packet;
the slice processing module is in communication connection with the 5G communication module, the 5G communication module is in communication connection with the edge computing node module, and the 5G communication module receives the secondary data packet of the slice processing module and sends the secondary data packet to the edge computing node module.
The invention adopts cloud edge cooperation and combines a 5G slice communication technology, and is mainly divided into three parts, namely an intelligent 5G gateway module, an edge computing node module and a cloud computing module, wherein the 5G gateway module comprises a slice processing module, and the slice processing module is adopted to classify and package corresponding 5G slices according to different data for data transmission, so that slice management is realized for transmission of different data, and the operation and maintenance capacity of the system is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used 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 it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a cloud edge collaborative operation and maintenance support system based on a 5G slice according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cloud edge collaborative operation and maintenance support system based on a 5G slice according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cloud computing module according to another embodiment of the present invention;
FIG. 4 is a block diagram of an edge compute node module according to yet another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a 5G gateway module according to an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, the present invention provides a cloud edge collaborative operation and maintenance support system based on 5G slices, including: cloud computing module 11, edge computing node module 12, and 5G gateway module 13.
The edge computing node module 12 is in communication connection with the 5G gateway module 13, the edge computing node module 12 is configured to receive data acquired by the 5G gateway module 13, process the data to acquire processed data, the 5G gateway module 13 includes a slice processing module 131, the slice processing module 131 is configured to match corresponding 5G slices for data transmission according to classification and encapsulation of different data, the cloud computing module 11 is in communication connection with the edge computing node module 12, and the cloud computing module 11 is configured to receive the processed data.
The cloud computing module 11 includes a slice deployment module 111, the slice deployment module 111 is used for generating a slice model of each operation and maintenance point, the cloud computing module 11 further includes a four-remote module 112, and the four-remote module 112 is used for adjusting an operation and maintenance node inspection task.
The edge computing node module 12 includes a data analysis module 121, the data analysis module 121 is configured to perform local data acquisition and fault analysis and calculation, the edge computing node module 12 further includes an anomaly alarm module 122, the anomaly alarm module 122 is configured to perform cross-region power consumption anomaly diagnosis, the anomaly alarm module 122 is further configured to perform regulation and control processing, and perform alarm for load, over-temperature, and local discharge, the anomaly alarm module 122 is communicatively connected to the cloud computing module 11, the cloud computing module 11 is configured to receive alarm data output by the anomaly alarm module 122, the edge computing node module 12 further includes an image processing module 123, the image processing module 123 is communicatively connected to the cloud computing module 11, and the image processing module 123 is configured to detect and identify an image target.
The 5G gateway module 13 further includes a data processing module 132 and a data acquisition module 133, the data processing module 132 is in communication connection with the data acquisition module 133, the data acquisition module 133 is configured to acquire various service data of the power distribution room, the data processing module 132 is configured to receive various service data of the power distribution room and encapsulate the various service data into a primary data packet, the slicing processing module 131 is configured to receive the primary data packet and match the primary data packet with a preset SLA template, and encapsulate the primary data packet into a secondary data packet, the 5G gateway module 13 further includes a 5G communication module 134, the slicing processing module 131 is in communication connection with the 5G communication module 134, the 5G communication module 134 is in communication connection with the edge computing node module 12, and the 5G communication module 134 is configured to receive the secondary data packet of the slicing processing module 131 and send the secondary data packet to the edge computing node module 12.
In the operation and maintenance support system, the 5G gateway classifies and integrates various services of the power distribution room according to different requirements of the various services of the power distribution room, sets different transmission priorities and matched transmission slices, improves the computing capacity of the system by utilizing cloud-edge cooperation, analyzes acquired data, identifies images and monitors abnormity, and the cloud computing module comprises a four-remote module and is used for remote intelligent operation and maintenance and management.
Referring to fig. 3, in an embodiment, the cloud computing module 11 includes a slice deployment module 111, where the slice deployment module 111 is configured to generate a slice model of each operation and maintenance point, and the cloud computing module 11 further includes a four-remote module 112, where the four-remote module 112 is configured to adjust an operation and maintenance node inspection task.
Specifically, when the operation and maintenance system of the present invention is used for the first time, the SLA template needs to be introduced when a new operation and maintenance node is upgraded and added to the 5G Service Level Agreement (SLA) template of the operation and maintenance system of the present invention, after the SLA template is introduced, the operation and maintenance system of the present invention generates a corresponding 5G slice deployment template according to the parameter standards of each service specified in the SLA template and the existing slice resources of the 5G operator, applies for corresponding slice deployment to the operator according to the 5G slice deployment template, and after the deployment is successful, the cloud computing module 11 generates a 5G slice model corresponding to the operation and maintenance node. And generating a corresponding deployment template of the 5G slice by importing the SLA template, applying for slice deployment and finally generating a slice model of each dimension node.
The cloud computing module 11 receives data processed by the edge computing node module 12 to implement remote monitoring management, the cloud computing module 11 can poll remote signaling and remote measuring data, can check historical data, can remotely control and adjust in real time, can customize an operation and maintenance node polling task, and can monitor the operation and maintenance node in real time.
The invention adopts the cloud computing module to realize four-remote intelligent operation and maintenance and management, and combines the 5G slicing technology, thereby improving the computing capability of the operation and maintenance system.
Referring to fig. 4, in an embodiment, the edge computing node module 12 includes a data analysis module 121, the data analysis module 121 is configured to perform local data acquisition and fault analysis and calculation, the edge computing node module 12 further includes an anomaly alarm module 122, the anomaly alarm module 122 is configured to perform cross-region power consumption anomaly diagnosis, the anomaly alarm module 122 is further configured to perform regulation and control processing, and perform alarm for load, over-temperature, and local discharge, the anomaly alarm module 122 is communicatively connected to the cloud computing module 11, the cloud computing module 11 is configured to receive alarm data output by the anomaly alarm module 122, the edge computing node module 12 further includes an image processing module 123, the image processing module 123 is communicatively connected to the cloud computing module 11, and the image processing module 123 is configured to detect and identify an image target.
Specifically, the edge computing node module 12 includes a data analysis module 121, an abnormal alarm module 122 and an image processing module 123, the edge computing node module 12 is responsible for completing local data acquisition and fault analysis and calculation, the edge computing node module 12 receives data acquired by a 5G gateway, records an equipment electric quantity parameter, a switching value and an equipment temperature of a 10kV switch cabinet, records a winding temperature of a transformer and a working state of a fan, records an equipment electric quantity parameter, a switching value and an equipment temperature of a 400V switch cabinet, acquires terminal data information in a partition, constructs a regional distribution network model, stores the regional distribution network model locally, periodically selects and uploads model data to the cloud computing module 11, and can share the model with surrounding edge nodes simultaneously, combines data analysis, diagnoses faults of power consumption abnormality across regions, and performs early warning on monitoring contents such as overload, overtemperature, partial discharge and the like, and (3) regulating and controlling in advance, carrying out intelligent electric energy scheduling processing on the regional power utilization abnormal condition by the joint edge computing node module 12, and finally reporting the processing result to the cloud computing module 11 for the abnormal alarm.
The edge computing center module 12 extracts and analyzes behavior characteristics in videos in real time, a data processing mechanism for monitoring scene behavior perception is achieved, video data are adjusted in real time according to a behavior characteristic decision function, storage of invalid videos is reduced, storage space is reduced, utilization rate of the storage space of the video data is improved, video image records are divided into two types, inspection type video data and security type video data, the inspection type video data are collected by a guide rail inspection robot and transmitted to the edge computing node module 12 through a 5G gateway in real time, the edge computing node module 12 obtains 4K image data and infrared thermal imaging data, monitoring is conducted according to different inspection tasks, and different targets are identified.
And (3) environment inspection task: the guide rail inspection robot transmits 4K video data of equipment such as a power distribution room environment and a power distribution cabinet to the edge computing node module 12, the edge computing node module 12 identifies and detects whether conditions such as damage of a wall body of the power distribution room and aging and damage of the power distribution equipment occur, and if the conditions occur, an alarm and a detection result are sent to the cloud platform, and abnormal image data are correspondingly sent.
The power distribution equipment inspection task: the guide rail inspection robot transmits infrared thermal imaging data of equipment such as a power distribution cabinet to the edge computing node module 12, the edge computing node module 12 identifies and detects whether each power distribution equipment is abnormal, and if the power distribution equipment is abnormal, an alarm and a detection result and corresponding abnormal image data are sent to the cloud platform.
The security video data are acquired by a high-definition camera, 4K video data are transmitted to the edge computing node through the 5G gateway, if a dynamic target is captured in the video, the video segment is uploaded to the edge computing node module 12, the edge computing node module 12 identifies the detected target, if abnormal conditions are eliminated, monitoring is continued, and if abnormal conditions occur, an alarm, a detection result and corresponding abnormal image data are sent to the cloud computing module 11.
The invention adopts the 5G gateway to classify and integrate various services of the power distribution room according to different requirements of various services of the power distribution room, utilizes cloud-edge cooperation to improve the computing capability of the system and analyze, image recognize and abnormal detect collected data, the edge computing platform receives service data for analysis, processing and storage, and the edge computing node has the functions of data analysis, image recognition, abnormal alarm and the like, thereby improving the operation and maintenance capability of the system.
Referring to fig. 5, in an embodiment, the 5G gateway module 13 further includes a data processing module 132 and a data collecting module 133, the data processing module 132 is communicatively connected to the data collecting module 133, the data collecting module 133 is configured to collect various service data of the power distribution room, the data processing module 132 is configured to receive various service data of the power distribution room, and encapsulating various service data into a primary data packet, wherein the slicing processing module 131 is configured to receive the primary data packet and match the primary data packet with a preset SLA template, and encapsulate the primary data packet into a secondary data packet, the 5G gateway module 13 further includes a 5G communication module 134, the slicing processing module 131 is in communication connection with the 5G communication module 134, the 5G communication module 134 is in communication connection with the edge computing node module 12, and the 5G communication module 134 receives the secondary data packet of the slicing processing module 131 and sends the secondary data packet to the edge computing node module 12.
Specifically, the 5G gateway includes a slice processing module 131, a data processing module 132, a data acquisition module 133, a 5G communication module 134, and a control module 135, where the control module 135 is in communication connection with the data processing module 132, when the gateway of the present invention is used for the first time and an SLA template of the gateway of the present invention is upgraded, the SLA template needs to be imported in a remote or short range, and after the SLA template is imported, the gateway matches the 5G slice model generated by the cloud computing platform according to parameter standards of each service specified in the SLA template.
If the gateway successfully matches the 5G slice model, the gateway waits for the matching information of the data packet to be transmitted, after receiving the matching information of the data packet, the gateway generates NSSAI request information, sends a slice resource application request to the 5G base station gNB, subscribes the corresponding 5G slice resource, and can transmit the data of the corresponding slice after receiving the Allowed NSSAI of the 5G base station gNB.
After the data acquisition module 133 acquires various service data of the power distribution room, the data processing module 132 performs classification integration, setting of parameters such as priority, Qos of a data packet, size of the data packet, and the like on the acquired data and encapsulates the data into a primary data packet, the slice processing module 131 matches a corresponding SLA template according to the parameters of the primary data packet and further matches a slice suitable for transmission of the primary data packet, an S-NSSAI slice selection identifier is added to the data packet successfully matched with the template and encapsulates the data packet into a secondary data packet, and finally the secondary data packet is sent to the 5G base station gNB through the 5G communication module 134, and a 5G network performs slice routing according to the S-NSSAI in the secondary data packet, so that the secondary data packet is transmitted on the suitable slice.
The traditional power grid gateway adopts wireless communication technologies such as Zigbee (LoRa) and 4G, wherein Zigbee (LoRa) is a low-power-consumption local area network protocol based on the IEEE802.15.4 standard, different services share network resources, resource waste is caused, the resource utilization rate cannot be improved, and the requirements of time delay, bandwidth and the like of some services cannot be improved due to the limitation of the 4G communication technology, while the 5G gateway in the market at present mostly adopts a 4G +5G transmission mode to transition the early networking condition of the 5G network, the characteristics of the 5G network cannot be completely shown, the 4G +5G transmission mode can be replaced by an independent 5G transmission mode along with the gradual maturity of the independent networking deployment 5G technology, and the addition of edge computing forms cloud-edge cooperative computing to replace the original cloud computing mode, the computing capacity of the whole system is improved, the computing pressure of cloud service is relieved, the data transmission time delay is reduced, and the timely response capacity of the power grid management system to the emergency is improved.
The operation and maintenance support system can more efficiently utilize limited resources, realize classification and packaging of different data of the power distribution room, match corresponding 5G slices for data transmission, utilize cloud-edge cooperation to improve the computing capacity of the system, analyze collected data, recognize images and monitor abnormity, and a cloud computing platform realizes four-remote intelligent operation and maintenance and management.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a support system is operated in coordination to cloud limit based on 5G is sliced which characterized in that includes: the system comprises a cloud computing module, an edge computing node module and a 5G gateway module;
the edge computing node module is in communication connection with the 5G gateway module, and is used for receiving data acquired by the 5G gateway module, processing the data to acquire processed data, wherein the 5G gateway module comprises a slice processing module, and the slice processing module is used for matching corresponding 5G slices according to classification and encapsulation of different data to perform data transmission;
the cloud computing module is in communication connection with the edge computing node module and is used for receiving the processing data.
2. The cloud edge collaborative operation and maintenance support system based on 5G slices as claimed in claim 1, wherein the cloud computing module comprises a slice deployment module for generating each operation and maintenance point slice model.
3. The cloud-edge collaborative operation and maintenance support system based on the 5G slice according to claim 2, wherein the cloud computing module further comprises a four-remote module, and the four-remote module is used for adjusting an operation and maintenance node inspection task.
4. The cloud edge collaborative operation and maintenance support system based on 5G slices according to claim 1, wherein the edge computing node module comprises a data analysis module, and the data analysis module is used for local data acquisition and fault analysis calculation.
5. The cloud edge collaborative operation and maintenance support system based on 5G slices according to claim 4, wherein the edge computing node modules further comprise an anomaly alarm module, and the anomaly alarm module is used for cross-regional power utilization anomaly diagnosis.
6. The cloud-edge collaborative operation and maintenance support system based on the 5G slice according to claim 5, wherein the anomaly alarm module is further used for regulating and controlling processing and alarming for load, over-temperature and local release.
7. The cloud edge collaborative operation and maintenance support system based on 5G slice according to claim 6, wherein the anomaly alarm module is in communication connection with the cloud computing module, and the cloud computing module is configured to receive alarm data output by the anomaly alarm module.
8. The cloud edge collaborative operation and maintenance support system based on 5G slices according to claim 7, wherein the edge computing node module further comprises an image processing module, the image processing module is in communication connection with the cloud computing module, and the image processing module is used for detecting and identifying image targets.
9. The cloud-edge collaborative operation and maintenance support system based on the 5G slice according to claim 1, wherein the 5G gateway module further comprises a data processing module and a data acquisition module;
the data processing module is in communication connection with the data acquisition module;
the data acquisition module is used for acquiring various service data of the power distribution room;
the data processing module is used for receiving various service data of the power distribution room and packaging the various service data into a primary data packet.
10. The cloud-edge collaborative operation and maintenance support system based on 5G slices according to claim 9, wherein the 5G gateway module further comprises a 5G communication module;
the slicing processing module is used for receiving the primary data packet, matching the primary data packet with a preset SLA template and packaging the primary data packet into a secondary data packet;
the slice processing module is in communication connection with the 5G communication module, the 5G communication module is in communication connection with the edge computing node module, and the 5G communication module receives the secondary data packet of the slice processing module and sends the secondary data packet to the edge computing node module.
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