CN115941514A - Unmanned aerial vehicle self-inspection system and method based on 5G slicing technology - Google Patents
Unmanned aerial vehicle self-inspection system and method based on 5G slicing technology Download PDFInfo
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Abstract
The invention discloses an unmanned aerial vehicle self-inspection system based on a 5G slicing technology, which comprises an unmanned aerial vehicle, a 5G physical network and an unmanned aerial vehicle inspection network slice, wherein the unmanned aerial vehicle is provided with photoelectric equipment and 5G CPE equipment, the photoelectric equipment is used for acquiring multi-mode data of an object to be inspected, the unmanned aerial vehicle inspection network slice is mapped to the 5G physical network, and the 5G physical network is used for providing a mapped physical node set and a physical link set for the unmanned aerial vehicle inspection network slice. The system applies the 5G slicing technology to the unmanned aerial vehicle inspection power line service, effectively reduces the end-to-end time delay of real-time multi-mode data transmission, and improves the inspection performance of the unmanned aerial vehicle; the power department can find and solve the fault in time, so as to ensure the normal electricity utilization for production and living of users; saves a large amount of manpower and material resources, and improves the operation intellectualization and service digitization level.
Description
Technical Field
The invention relates to the technical field of power inspection, in particular to an unmanned aerial vehicle self-inspection system and method based on a 5G slicing technology.
Background
The network slicing technology is a plurality of virtual networks created and operated by an operator on an entity physical network according to tenant requirements. Each virtual network performs arrangement and division of network resources according to different services and service requirements, such as bandwidth, time delay, security, reliability and the like, so that different network application scenarios can be flexibly handled. The implementation of the Network slice is based on a Network Function Virtualization (NFV) technology and a Software Defined Network (SDN) technology. NFV introduces virtualization technology into Network facilities, decouples software functions from dedicated hardware, and supports Virtual Network Function (VNF) software running on commodity servers, thereby simulating the functions and performance of physical Network elements. The SDN realizes the centralization of network control functions through an SDN controller based on software, and decouples a network control plane and a data plane, thereby realizing the dynamic and real-time forwarding control of a router and a switch. The two technologies are key for realizing flexible arrangement and dynamic cooperative management of end-to-end network slice resources.
The inspection of the power line is the core work of maintaining the power line, and the power department needs to find and solve faults in time so as to ensure normal production and living power utilization of users. Traditional mode of patrolling and examining is generally observed at a distance through the telescope, perhaps carries out closely trouble shooting through climbing the electric power tower, and this kind of mode is wasted time and energy, and efficiency is not high. In recent years, with the rapid development of unmanned aerial vehicle technology in China, the application fields of the unmanned aerial vehicle technology are more and more, and as the unmanned aerial vehicle has the advantages of being convenient to carry, simple to deploy, powerful in function, low in cost and the like, the power line inspection service is gradually becoming one of the important application fields of the unmanned aerial vehicle technology, however, the existing unmanned aerial vehicle inspection power line technology has the problems of high transmission delay, poor channel reliability and the like.
Disclosure of Invention
The invention mainly aims to solve the problems of high transmission delay and poor channel reliability of the existing unmanned aerial vehicle inspection power line technology, and provides an unmanned aerial vehicle self-inspection system based on a 5G slicing technology, which comprises an unmanned aerial vehicle, a 5G physical network and an unmanned aerial vehicle inspection network slice, wherein the unmanned aerial vehicle is loaded with photoelectric equipment and 5G CPE equipment, the photoelectric equipment is used for acquiring multi-mode data of an object to be inspected, the unmanned aerial vehicle inspection network slice is mapped to the 5G physical network, and the 5G physical network is used for providing a mapped physical node set and a physical link set for the unmanned aerial vehicle inspection network slice.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides an unmanned aerial vehicle is from system of patrolling and examining based on 5G section technique, patrols and examines the network section including unmanned aerial vehicle, 5G physical network and the unmanned aerial vehicle that carries photoelectric equipment and 5G CPE equipment, photoelectric equipment is used for acquireing the multimode data of the object of patrolling and examining, unmanned aerial vehicle patrols and examines the network section and map to 5G physical network, 5G physical network are used for patrolling and examining the physical node set and the physical link set that the network section provided the mapping for unmanned aerial vehicle. The system applies the 5G slicing technology to the unmanned aerial vehicle inspection power line service, overcomes the problems of high transmission time delay and poor channel reliability of the existing unmanned aerial vehicle inspection power line technology, effectively reduces the end-to-end time delay of real-time multi-mode data transmission, improves the performance of the unmanned aerial vehicle inspection power line, is favorable for an electric power department to timely find and solve faults so as to ensure normal production and living power consumption of users. The unmanned aerial vehicle is applied to power line inspection, is not limited by landform and landform, and is particularly suitable for line inspection work in a complex environment; the airborne high-definition camera equipment can perform real-time online positioning and monitoring on faults, ground control personnel can find and remove line defects and major hidden dangers in time according to returned scenes, inspection efficiency is greatly improved, a large amount of manpower and material resources are saved, and operation intellectualization and service digitization levels are improved; the introduction of unmanned aerial vehicle inspection technology has solved the artifical inefficiency of patrolling and examining and has the problem of operation risk.
Preferably, the unmanned aerial vehicle inspection network slice comprises an unmanned aerial vehicle inspection node, a plurality of access nodes, a first transmission link, a virtual data coding network element, a second transmission link, a plurality of receiving nodes and a plurality of terminal nodes.
Preferably, the 5G physical network includes a 5G bearer network, a 5G core network, and a 5G base station node.
Preferably, the unmanned aerial vehicle is connected with the communication link between the 5G base station nodes through the 5G CPE equipment, the unmanned aerial vehicle sends the multi-mode data of the object to be inspected to the 5G base station nodes, and the 5G base station nodes send the data to the terminal nodes through a backbone communication network.
The unmanned aerial vehicle self-inspection method based on the 5G slicing technology adopts the unmanned aerial vehicle self-inspection system based on the 5G slicing technology, and comprises the following steps:
step S1: acquiring multi-mode data of an object to be inspected through photoelectric equipment carried by an unmanned aerial vehicle;
step S2: processing the multi-modal data according to a 5G slicing technology and transmitting the multi-modal data to a terminal node;
the 5G slice technology comprises a uRLLC control type slice, an mMTC massive machine type information acquisition slice and an eMBB enhanced mobile bandwidth slice, the method adopts different communication modes for transmission according to the transmission requirements of different data, and specifically, the uRLLC control type slice is used for transmitting instruction data with high real-time requirements; controlling device parameters of the slice-like transmission unmanned aerial vehicle by using the uRLLC; and utilizing the eMBB enhanced mobile bandwidth slice to transmit a high-definition video in real time.
Preferably, the specific process of step S2 includes the following steps:
step S21: the unmanned aerial vehicle inspection node transmits the real-time multi-mode data to each corresponding access node;
step S22: each access node transmits the multi-mode data traffic transmitted from the unmanned aerial vehicle inspection node to a virtual data coding network element through a first transmission link;
step S23: the virtual data coding network element transmits the multi-mode data traffic transmitted from each access node to each corresponding receiving node through a second transmission link;
step S24: each receiving node transmits the multi-mode data traffic transmitted from the virtual data coding network element to each corresponding terminal node;
step S25: and each terminal node judges whether the object to be inspected is abnormal or not according to the multi-mode data transmitted from each receiving node.
Preferably, in step S23, the virtual data coding network element receives the multi-modal data transmitted by the first transmission link, and codes the original data code rate into an appropriate data code rate according to the end-to-end delay requirements of different terminal nodes and the delay condition of each link, and transmits the appropriate data code rate to each terminal node.
Therefore, the invention has the advantages that:
(1) The 5G slicing technology is applied to the unmanned aerial vehicle inspection power line service, the problems of high transmission time delay and poor channel reliability of the traditional unmanned aerial vehicle inspection power line technology are solved, the end-to-end time delay of real-time multi-mode data transmission is effectively reduced, the unmanned aerial vehicle inspection power line performance is improved, and the power department can find and solve faults in time to ensure normal production and living power utilization of users;
(2) According to the transmission requirements of different data, different communication modes are adopted for transmission, and the uRLLC control type slice is used for transmitting instruction data with high real-time requirements; controlling device parameters of the slice-like transmission unmanned aerial vehicle by using the uRLLC; transmitting a high-definition video in real time by utilizing the eMBB enhanced mobile bandwidth slice;
(3) The unmanned aerial vehicle is applied to power line inspection, is not limited by landform and landform, and is particularly suitable for line inspection work in a complex environment; the airborne high-definition camera equipment can perform real-time online positioning and monitoring on faults, ground control personnel can find and remove line defects and major hidden dangers in time according to returned scenes, inspection efficiency is greatly improved, a large amount of manpower and material resources are saved, and operation intellectualization and service digitization levels are improved; the unmanned aerial vehicle patrols and examines introduction of technique, has solved the manual work and has patrolled and examined inefficiency and have the problem of operation risk.
Drawings
Fig. 1 is a schematic structural diagram of an unmanned aerial vehicle self-inspection system based on a 5G slicing technology in an embodiment of the present invention.
Fig. 2 is a flowchart of an unmanned aerial vehicle self-inspection method based on a 5G slicing technology in the second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an unmanned aerial vehicle inspection power line system in the third embodiment of the present invention.
1. Photoelectric equipment 2, 5G CPE equipment 3, unmanned aerial vehicle 4,5G physical network 5, unmanned aerial vehicle patrol and examine network slice 6, unmanned aerial vehicle patrol and examine node 7, access node 8, first transmission link 9, virtual data coding network element 10, second transmission link 11, receiving node 12, terminal node 13, 5G carrier network 14, 5G core network 15,5G base station node 16, power line 17, unmanned aerial vehicle hangar 18, prevent hot wall 19, backstage monitoring platform.
Detailed Description
The invention is further described with reference to the following detailed description and accompanying drawings.
The first embodiment is as follows:
an unmanned aerial vehicle self-inspection system based on a 5G slicing technology comprises an unmanned aerial vehicle 3 with an optoelectronic device 1 and a 5G CPE device 2, a 5G physical network 4 and an unmanned aerial vehicle inspection network slice 5, wherein the optoelectronic device 1 is used for acquiring multi-mode data of an object to be inspected, the unmanned aerial vehicle inspection network slice 5 is mapped to the 5G physical network 4, and the 5G physical network 4 is used for providing a mapped physical node set and a mapped physical link set for the unmanned aerial vehicle inspection network slice 5. The unmanned aerial vehicle inspection network slice 5 comprises an unmanned aerial vehicle inspection node 6, a plurality of access nodes 7, a first transmission link 8, a virtual data coding network element 9, a second transmission link 10, a plurality of receiving nodes 11 and a plurality of terminal nodes 12. The 5G physical network 4 comprises a 5G bearer network 13, a 5G core network 14 and a 5G base station node 15. The unmanned aerial vehicle 3 is connected with the 5G base station node 15 through the 5G CPE device 2, the unmanned aerial vehicle 3 sends multi-mode data of an object to be inspected to the 5G base station node 15, and the 5G base station node 15 sends the data to the terminal node 12 through a backbone communication network. The photoelectric equipment 1 comprises high-definition camera equipment, can perform real-time online positioning and monitoring on faults, and ground control personnel can timely find and remove circuit defects and major hidden dangers according to return situations.
Example two:
an unmanned aerial vehicle self-inspection method based on a 5G slicing technology adopts the unmanned aerial vehicle self-inspection system based on the 5G slicing technology, as shown in fig. 2, the unmanned aerial vehicle self-inspection method comprises the following steps:
step S1: acquiring multi-mode data of an object to be inspected through photoelectric equipment carried by an unmanned aerial vehicle;
step S2: processing the multi-modal data according to a 5G slicing technology and transmitting the multi-modal data to a terminal node;
the 5G slice technology comprises a uRLLC control type slice, an mMTC massive machine type information acquisition slice and an eMBB enhanced mobile bandwidth slice, different communication modes are adopted for transmission according to transmission requirements of different data, and specifically, the uRLLC control type slice is used for transmitting instruction data with high real-time requirements; controlling the equipment parameters of the slice-like transmission unmanned aerial vehicle by using the uRLLC; the eMBB is used for enhancing the mobile bandwidth slice to transmit the high-definition video in real time;
the specific process of the step S2 comprises the following steps:
step S21: the unmanned aerial vehicle inspection node transmits the real-time multi-mode data to each corresponding access node;
step S22: each access node transmits the multi-mode data traffic transmitted from the unmanned aerial vehicle inspection node to a virtual data coding network element through a first transmission link;
step S23: the virtual data coding network element transmits the multi-mode data traffic transmitted from each access node to each corresponding receiving node through a second transmission link;
step S24: each receiving node transmits the multi-mode data traffic transmitted from the virtual data coding network element to each corresponding terminal node;
step S25: each terminal node judges whether the object to be inspected is abnormal or not according to the multi-mode data transmitted from each receiving node;
in step S23, the virtual data coding network element receives the multi-modal data transmitted by the first transmission link, and codes the original data code rate into an appropriate data code rate according to the end-to-end delay requirements of different terminal nodes and the delay condition of each link, and transmits the appropriate data code rate to each terminal node.
Example three:
as shown in fig. 3, the 5G CPE device 2 is connected to an operating handle of the unmanned aerial vehicle 3 or an unmanned aerial vehicle hangar 17, data acquisition is performed on an inspection object, and an identification result can be converged to the 5G core network 14 through the 5G CPE device 2 and then remotely inspected by accessing a host in a power company local area network through a firewall 18. Unmanned aerial vehicle 3 is through the built-in wireless module based on the factory own agreement, through connecting 5G CPE equipment 2 data acquisition, through carrying out video storage on operator 5G network feedback to backstage monitoring platform 19, can look over or look over through visiting in step and play the effect of patrolling and examining, reduce the incident and take place to promote work efficiency.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. The utility model provides an unmanned aerial vehicle is from system of patrolling and examining based on 5G section technique which characterized in that, patrols and examines the network section including unmanned aerial vehicle, 5G physical network and the unmanned aerial vehicle that carries on opto-electronic equipment and 5G CPE equipment, opto-electronic equipment is used for acquireing the multimode data of the object of patrolling and examining, unmanned aerial vehicle patrols and examines the network section and map to 5G physical network, 5G physical network are used for patrolling and examining the network section for unmanned aerial vehicle and provide the physical node set and the physical link set of mapping.
2. The unmanned aerial vehicle self-inspection system based on 5G slicing technology, according to claim 1, wherein the unmanned aerial vehicle inspection network slices comprise an unmanned aerial vehicle inspection node, a plurality of access nodes, a first transmission link, a virtual data coding network element, a second transmission link, a plurality of receiving nodes and a plurality of terminal nodes.
3. The unmanned aerial vehicle self-inspection system based on 5G slicing technology according to claim 2, wherein the 5G physical network comprises a 5G bearer network, a 5G core network and 5G base station nodes.
4. The unmanned aerial vehicle self-inspection system based on the 5G slicing technology is characterized in that the unmanned aerial vehicle is connected with a communication link between the 5G base station nodes through the 5G CPE equipment, the unmanned aerial vehicle sends multi-mode data of an object to be inspected to the 5G base station nodes, and the 5G base station nodes send the data to the terminal nodes through a backbone communication network.
5. An unmanned aerial vehicle self-inspection method based on a 5G slicing technology, which adopts the unmanned aerial vehicle self-inspection system based on the 5G slicing technology according to any one of claims 1 to 4, and is characterized by comprising the following steps:
step S1: acquiring multi-mode data of an object to be inspected through photoelectric equipment carried by an unmanned aerial vehicle;
step S2: and processing the multi-modal data according to a 5G slicing technology and transmitting the multi-modal data to a terminal node.
6. The unmanned aerial vehicle self-inspection method based on the 5G slicing technology, according to claim 5, wherein the specific process of the step S2 comprises the following steps:
step S21: the unmanned aerial vehicle inspection node transmits the real-time multi-mode data to each corresponding access node;
step S22: each access node transmits the multi-mode data traffic transmitted from the unmanned aerial vehicle inspection node to a virtual data coding network element through a first transmission link;
step S23: the virtual data coding network element transmits the multi-mode data traffic transmitted from each access node to each corresponding receiving node through a second transmission link;
step S24: each receiving node transmits the multi-mode data traffic transmitted from the virtual data coding network element to each corresponding terminal node;
step S25: and each terminal node judges whether the object to be inspected is abnormal or not according to the multi-mode data transmitted from each receiving node.
7. The unmanned aerial vehicle self-inspection method according to claim 6, wherein in step S23, the virtual data coding network element receives multi-modal data transmitted by the first transmission link, and codes the original data code rate into an appropriate data code rate according to end-to-end delay requirements of different terminal nodes and the delay condition of each link, and transmits the data code rate to each terminal node.
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