CN113298973B - Unmanned aerial vehicle power inspection method and device based on 5G communication - Google Patents
Unmanned aerial vehicle power inspection method and device based on 5G communication Download PDFInfo
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- CN113298973B CN113298973B CN202110580288.4A CN202110580288A CN113298973B CN 113298973 B CN113298973 B CN 113298973B CN 202110580288 A CN202110580288 A CN 202110580288A CN 113298973 B CN113298973 B CN 113298973B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
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- H—ELECTRICITY
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- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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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]
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Abstract
The invention discloses an unmanned aerial vehicle power inspection method and device based on 5G communication, and the method comprises the steps of obtaining multi-mode data of target power equipment, and initially detecting whether the multi-mode data is abnormal; processing the multi-modal data according to a 5G slicing technology to obtain a slicing result; when the 5G uplink coverage is good, bearing the slicing result on a PUSCH of 5G, or when the 5G uplink coverage is limited, bearing the slicing result on a PUSCH of LTE, and uploading the slicing result to a cloud; and carrying out secondary anomaly detection or updating a detection model on the multi-mode data by the cloud according to the initial detection result of the unmanned aerial vehicle. The invention can adopt different communication modes to transmit according to the transmission requirements of different data; when the 5G signal is influenced by buildings and the like, the normal operation of the inspection work can be ensured; when the unmanned aerial vehicle carries out the work of patrolling and examining at 5G NSA network edge, realize the balance of uplink and downlink, alleviate the problem that real-time high definition surveillance video blocks.
Description
Technical Field
The invention relates to the technical field of power inspection, in particular to an unmanned aerial vehicle power inspection method and device based on 5G communication.
Background
At present, an unmanned aerial vehicle power inspection system is often carried with various photoelectric devices to realize tasks such as visible light photographing, camera shooting, infrared imaging and ultraviolet imaging, but different requirements of different data types on transmission are not considered when data transmission is carried out on related sensors, such as high-bandwidth requirements of high-definition videos and real-time requirements of flight control instructions.
To unmanned aerial vehicle's picture biography, the radio station is passed to the picture that many rotor unmanned aerial vehicle producers on the market provided, the picture passes the distance limitedly, regard as communication link with the 4G network, can't satisfy 1080P high definition video real-time transmission requirement, consequently traditional unmanned aerial vehicle electric power system of patrolling and examining urgently needs a technical scheme who promotes the picture ability of passing, and the communication scheme who fuses the 5G technique is a good choice, but the unmanned aerial vehicle that uses the 5G communication scheme needs near-ground ultra-low-altitude flight when patrolling and examining, the communication easily receives blocking of high building or hillock and influences, mobile signal is weak.
The problem of unbalanced uplink and downlink coverage at the edge of a 5G NSA network (the uplink coverage is relatively weak) generally exists nowadays, and the unmanned aerial vehicle based on 5G communication is not favorable for carrying out power patrol (if the height of the unmanned aerial vehicle is higher, the real-time high-definition monitoring video is seriously blocked). The traditional solution is to newly build a 5G base station at the edge of a 5G NSA network and shorten the uplink propagation distance, thereby achieving uplink and downlink coverage balance, but the method is extremely cost-consuming.
Disclosure of Invention
The invention aims to provide an unmanned aerial vehicle power inspection method based on 5G communication, and aims to solve the technical problems that in the prior art, when an unmanned aerial vehicle utilizes 5G communication to perform power inspection, different requirements of different data types on transmission are not considered, when the unmanned aerial vehicle flies in a near-ground and ultra-low altitude environment, the communication is easily influenced by blocking of high buildings or hills, mobile signals are weak, and the uplink and downlink coverage of the edge of a 5G NSA network is unbalanced.
In order to solve the technical problem, the invention provides an unmanned aerial vehicle power inspection method based on 5G communication, which comprises the following steps:
obtaining multi-mode data of target power equipment, and initially detecting whether the multi-mode data is abnormal;
processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
when the 5G uplink coverage is good, bearing the slicing result on a PUSCH of 5G, or when the 5G uplink coverage is limited, bearing the slicing result on a PUSCH of LTE, and uploading the slicing result to a cloud;
if the multi-mode data initially detected by the unmanned aerial vehicle are abnormal, the cloud end carries out secondary abnormal detection on the multi-mode data, and sends an alarm signal carrying abnormal diagnosis information to the unmanned aerial vehicle when the secondary abnormal detection is carried out, and the unmanned aerial vehicle returns to an abnormal point to carry out high-definition live broadcast;
and if the multi-modal data initially detected by the unmanned aerial vehicle is normal, the cloud updates a detection model according to the slicing result, the detection model is issued to the unmanned aerial vehicle, and the unmanned aerial vehicle executes subsequent initial detection action of the multi-modal data according to the latest detection model.
Further, after the processing the multi-modal data according to the 5G slicing technique to obtain a slicing result, the method further includes:
and determining a transmission communication link of the multi-mode data according to the strength of the 5G signal.
Further, the determining a transmission communication link of the multi-modal data according to the strength of the 5G signal includes:
when the 5G signal is good, the patrol unmanned aerial vehicle carries CPE equipment, the connection of a communication link between the patrol unmanned aerial vehicle and a 5G base station is realized through the CPE equipment, the patrol unmanned aerial vehicle sends data to the 5G base station, and the 5G base station sends the data to a ground station through a backbone communication network;
when the 5G signal is weak, switching to a COFDM communication mode, transmitting data through a communication link of an inspection unmanned aerial vehicle, a relay unmanned aerial vehicle and a ground station, wherein the inspection unmanned aerial vehicle sends the data to the relay unmanned aerial vehicle through the COFDM communication mode, and the relay unmanned aerial vehicle sends the data to the ground station through the COFDM communication mode.
Further, the acquiring multimodal data of the target power device includes: the unmanned aerial vehicle carries out multi-mode data acquisition on the target power equipment by utilizing the carried photoelectric equipment.
Further, the 5G slicing technique includes: the method comprises the following steps of uRLLC control type slicing, mMTC massive machine type information acquisition slicing and eMBB enhanced mobile bandwidth slicing.
Further, the processing the multi-modal data according to a 5G slicing technique includes:
transmitting instruction data with high real-time requirements by using the uRLLC control-class slice; 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.
Further, the carrying the slicing result on a PUSCH of 5G when uplink coverage of 5G is good, or carrying the slicing result on a PUSCH of LTE when uplink coverage of 5G is limited includes:
when the SINR of the uplink is larger than the quality difference threshold, the 5G uplink coverage is good, and the transmission of the slicing result is kept in the 5G network;
and when the uplink SINR is smaller than the sum of the quality difference threshold and the hysteresis coefficient, limiting the 5G uplink coverage, and switching the transmission of the slicing result to the LTE network.
The invention also provides an unmanned aerial vehicle power inspection device based on 5G communication, which comprises:
the multi-mode data acquisition and initial detection module comprises: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring multi-mode data of target power equipment and initially detecting whether the multi-mode data is abnormal;
a slicing processing module: the system is used for processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
the multi-mode data transmission module: the slicing result is carried on a PUSCH of 5G when the uplink coverage of 5G is good, or carried on a PUSCH of LTE when the uplink coverage of 5G is limited, and uploaded to a cloud;
the multi-mode data initial detection abnormity processing module is used for carrying out secondary abnormity detection on the multi-mode data by the cloud end when the multi-mode data initially detected by the unmanned aerial vehicle is abnormal, sending an alarm signal carrying abnormal diagnosis information to the unmanned aerial vehicle when the secondary detection is abnormal, and enabling the unmanned aerial vehicle to return to an abnormal point for high-definition live broadcast;
and the normal multi-mode data initial detection processing module is used for updating a detection model according to the slicing result by the cloud when the multi-mode data initially detected by the unmanned aerial vehicle is normal, issuing the detection model to the unmanned aerial vehicle, and executing subsequent multi-mode data initial detection actions by the unmanned aerial vehicle according to the latest detection model.
The present invention also provides a terminal device, including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the drone power patrol method based on 5G communications of any one of claims 1 to 7.
The invention also provides a computer readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the unmanned aerial vehicle power inspection method based on 5G communication.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts a network slicing technology based on 5G communication, and adopts different communication modes for transmission according to the transmission requirements of different data; aiming at high-definition video transmission, a networking scheme based on 5G communication is provided, so that the method is not limited by a picture transmission radio station, the picture transmission distance is increased, and the video transmission rate is increased; when the surrounding 5G signals are influenced by buildings or hills, the communication link is switched to a temporary COFDM communication link, so that the normal operation of the routing inspection work is ensured; when the unmanned aerial vehicle based on 5G communication carries out the patrol and examine work at 5G NSA network edge, adopt and go upward to promote the speed of going upward based on LTE technique for go upward the line balance, alleviate real-time high definition surveillance video card and pause serious scheduling problem.
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 flow diagram of an unmanned aerial vehicle power inspection method based on 5G communication according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a communication link of unmanned aerial vehicle power inspection data transmission based on 5G communication according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a data communication method in which a 5G communication link of the unmanned aerial vehicle power inspection tour based on 5G communication is blocked according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an uplink LTE-based technology of an unmanned aerial vehicle when the unmanned aerial vehicle operates in a 5G NSA network edge area according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an unmanned aerial vehicle power inspection device based on 5G communication according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
In a first aspect:
referring to fig. 1, an embodiment of the present invention provides an unmanned aerial vehicle power inspection method based on 5G communication, including:
s10: obtaining multi-mode data of target power equipment, and initially detecting whether the multi-mode data is abnormal;
in this step, the unmanned aerial vehicle utilizes the optoelectronic devices such as the camera and the infrared sensor that it carried to carry on to the target power equipment of electric power inspection scene carry out multimodal data acquisition.
S20: processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
in this step, the 5G slicing technique mainly includes the following 3 classes: the method comprises the following steps that a uRLLC control type slice, an mMTC massive machine type information acquisition slice and an eMBB enhanced mobile bandwidth slice are used for processing the multi-modal data by using a 5G slice technology as follows:
the 5G network uRLLC slice is used for transmitting high real-time requirement data such as attitude angle information, flight control instructions and the like, so that the real-time control of the unmanned aerial vehicle at a long distance is realized, and the risk of collision and crash caused by instruction transmission delay of the unmanned aerial vehicle is reduced;
the method comprises the following steps of utilizing a 5G network mMTC slice to transmit the parameters of unmanned aerial vehicle equipment, such as the residual battery capacity and other marginal 'secondary important' data, and realizing remote monitoring on the state of the unmanned aerial vehicle equipment;
and the eMBB slice of the 5G network is utilized to transmit high-definition video in real time, so that the edge calculation of target detection is realized, and the ground can check the inspection picture in real time.
Further, after the processing the multi-modal data according to the 5G slicing technique to obtain a slicing result, the method further includes: determining a transmission communication link of the multi-mode data according to the strength of the 5G signal;
as shown in fig. 2, in a data transmission communication link, in a place covered by a 5G base station, when a 5G signal is good, an inspection unmanned aerial vehicle carries 5G CPE equipment, and realizes connection with the 5G base station through the CPE equipment, the inspection unmanned aerial vehicle sends data to the 5G base station, and the 5G base station sends the data to a ground station through a backbone communication network; when the 5G signal is weak, the communication link between the inspection unmanned aerial vehicle and the relay unmanned aerial vehicle and the communication link between the ground station and the relay unmanned aerial vehicle are switched to a COFDM communication mode, the inspection unmanned aerial vehicle transmits data to the relay unmanned aerial vehicle through the COFDM communication mode, the relay unmanned aerial vehicle transmits the data to the ground station through the COFDM communication mode, emergency transmission of the data is achieved, control and information acquisition of the unmanned aerial vehicle are guaranteed, and the specific communication process is shown in fig. 3.
S30: when the 5G uplink coverage is good, bearing the slicing result on a PUSCH of 5G, or when the 5G uplink coverage is limited, bearing the slicing result on a PUSCH of LTE, and uploading the slicing result to a cloud;
in this step, as shown in fig. 4, for the situation that the uplink and downlink coverage of the 5G drone is unbalanced in the operation of the 5G NSA network edge area (for example, when the drone flies to the high space, the real-time high-definition monitoring video is severely blocked), the uplink is used to enhance the uplink rate of the network coverage edge 5G NSA based on the quality fallback LTE technology, the uplink of the 4G network is utilized in the technology, the fundamental reason is that the coverage capability of the 4G network in the 1.8GHz band is much better than that in the 3.5GHz band of the 5G network, and the 5G network has large data volume and more complex coding, which results in that the device needs to be modulated with higher power. Under the condition that the transmitting power of the equipment is unchanged, the distance of the 4G uplink signals can be adjusted by the base station side to be far greater than that of the 5G uplink signals. While the 4G network upstream rate is lower than the 5G NSA network in the ideal case, the 4G network upstream rate is higher than the 5G NSA network in the non-ideal case of network coverage edge case.
Specifically, the uplink data transmission of the drone end is carried on a PUSCH of 5G or a PUSCH of LTE. When the UE is at the coverage edge of the 5G NSA network, the 5G uplink coverage is limited, and the 5G network controls the UE to be switched to the PUSCH of the LTE for uplink data transmission. The criterion for judging whether the 5G uplink coverage is limited is the 5G uplink SINR. When the SINR of the uplink is larger than the quality difference threshold, the uplink coverage is good, and the uplink is kept in the 5G network; and when the uplink SINR is smaller than the sum of the quality difference threshold and the hysteresis coefficient, switching the uplink to the LTE network. And in the same reason, when the unmanned aerial vehicle returns to the 5G network center, the uplink coverage is good, and the 5G network is reused to be uplink.
Still include after uploading the section result to high in the clouds:
s31: if the multi-mode data initially detected by the unmanned aerial vehicle are abnormal, the cloud end carries out secondary abnormal detection on the multi-mode data, and sends an alarm signal carrying abnormal diagnosis information to the unmanned aerial vehicle when the secondary abnormal detection is carried out, and the unmanned aerial vehicle returns to an abnormal point to carry out high-definition live broadcast;
in this step, when the multi-modal data initially detected by the unmanned aerial vehicle is abnormal, the cloud end reconfirms the multi-modal data and then forwards an alarm containing abnormal diagnosis information to the ground station, and after the reconfiguration of the staff at the ground station, the cloud end sends a control instruction to the unmanned aerial vehicle to enable the unmanned aerial vehicle to return to an abnormal point for high-definition live broadcast, so that double guarantee of detection speed and precision can be achieved.
S32: and if the multi-modal data initially detected by the unmanned aerial vehicle is normal, the cloud updates a detection model according to the slicing result, the detection model is issued to the unmanned aerial vehicle, and the unmanned aerial vehicle executes subsequent initial detection action of the multi-modal data according to the latest detection model.
In this step, the data that unmanned aerial vehicle gathered are uploaded to high in the clouds storage to real-time update detection model, will the parameter cycle of detection model feeds back to unmanned aerial vehicle updates, unmanned aerial vehicle utilizes the detection model that the parameter of detection model updated carries out real-time detection.
In a second aspect:
referring to fig. 5, an embodiment of the present invention further provides an unmanned aerial vehicle power inspection device based on 5G communication, including:
multi-modality data acquisition and initial detection module 10: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring multi-mode data of target power equipment and initially detecting whether the multi-mode data is abnormal;
the slicing processing module 20: the system is used for processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
the multimodal data transmission module 30: the slicing result is carried on a PUSCH of 5G when the uplink coverage of 5G is good, or carried on a PUSCH of LTE when the uplink coverage of 5G is limited, and uploaded to a cloud;
the multi-mode data initial detection exception handling module 40 is configured to, when the multi-mode data initially detected by the unmanned aerial vehicle is abnormal, perform secondary exception detection on the multi-mode data by the cloud, and when the secondary exception detection is abnormal, issue an alarm signal carrying information about exception diagnosis to the unmanned aerial vehicle, and the unmanned aerial vehicle returns to an abnormal point to perform high-definition live broadcast;
and a normal multi-modal data initial detection processing module 50, configured to, when the multi-modal data initially detected by the unmanned aerial vehicle is normal, update a detection model by the cloud according to the slicing result, and issue the detection model to the unmanned aerial vehicle, where the unmanned aerial vehicle executes subsequent initial detection actions on the multi-modal data according to the latest detection model.
It can be understood that the functional modules of the unmanned aerial vehicle power inspection device based on 5G communication are respectively used for executing corresponding method steps, and a network slicing technology based on 5G communication is adopted when the steps are executed, and different communication modes are adopted for transmission according to transmission requirements of different data; aiming at high-definition video transmission, a networking scheme based on 5G communication is provided, so that the method is not limited by a picture transmission radio station, the picture transmission distance is increased, and the video transmission rate is increased; when the surrounding 5G signals are influenced by buildings or hills, the communication link is switched to a temporary COFDM communication link, so that the normal operation of the routing inspection work is ensured; when the unmanned aerial vehicle based on 5G communication carries out the patrol and examine work at 5GNSA network edge, adopt and go upward to promote the speed of going upward based on LTE technique for go upward the line balance, alleviate real-time high definition surveillance video card and pause serious scheduling problem.
In a third aspect:
an embodiment of the present invention further provides a terminal device, including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the drone power patrol method based on 5G communications as described above.
The processor is used for controlling the overall operation of the terminal device so as to complete all or part of the steps of the unmanned aerial vehicle power inspection method based on 5G communication. The memory is used to store various types of data to support operation at the terminal device, and these data may include, for example, instructions for any application or method operating on the terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The terminal Device may be implemented by one or more Application Specific1 integrated circuits (AS 1C for short), a Digital Signal Processor (DSP for short), a Digital Signal Processing Device (DSPD for short), a Programmable Logic Device (PLD for short), a Field Programmable Gate Array (FPGA for short), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to execute the unmanned aerial vehicle power inspection method based on 5G communication according to any one of the embodiments described above, and achieve technical effects consistent with the above methods.
An embodiment of the present invention further provides a computer readable storage medium including program instructions, which when executed by a processor, implement the steps of the unmanned aerial vehicle power inspection method based on 5G communication according to any one of the embodiments. For example, the computer-readable storage medium may be the above-mentioned memory including program instructions, which are executable by a processor of a terminal device to perform the unmanned aerial vehicle power inspection method based on 5G communication according to any one of the above-mentioned embodiments, and achieve the technical effects consistent with the above-mentioned method.
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 an unmanned aerial vehicle power inspection method based on 5G communication which characterized in that includes:
obtaining multi-mode data of target power equipment, and initially detecting whether the multi-mode data is abnormal;
processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
when the 5G uplink coverage is good, bearing the slicing result on a PUSCH of 5G, or when the 5G uplink coverage is limited, bearing the slicing result on a PUSCH of LTE, and uploading the slicing result to a cloud;
if the multi-mode data initially detected by the unmanned aerial vehicle are abnormal, the cloud end carries out secondary abnormal detection on the multi-mode data, and sends an alarm signal carrying abnormal diagnosis information to the unmanned aerial vehicle when the secondary abnormal detection is carried out, and the unmanned aerial vehicle returns to an abnormal point to carry out high-definition live broadcast;
and if the multi-modal data initially detected by the unmanned aerial vehicle is normal, the cloud updates a detection model according to the slicing result, the detection model is issued to the unmanned aerial vehicle, and the unmanned aerial vehicle executes subsequent initial detection action of the multi-modal data according to the latest detection model.
2. The unmanned aerial vehicle power inspection method based on 5G communication of claim 1, wherein after the processing the multi-modal data according to the 5G slicing technique to obtain the slicing result, the method further comprises:
and determining a transmission communication link of the multi-mode data according to the strength of the 5G signal.
3. The unmanned aerial vehicle power inspection method based on 5G communication according to claim 2, wherein the determining the transmission communication link of the multi-mode data according to the 5G signal strength comprises:
when the 5G signal is good, the patrol unmanned aerial vehicle carries CPE equipment, the connection of a communication link between the patrol unmanned aerial vehicle and a 5G base station is realized through the CPE equipment, the patrol unmanned aerial vehicle sends data to the 5G base station, and the 5G base station sends the data to a ground station through a backbone communication network;
when the 5G signal is weak, switching to a COFDM communication mode, transmitting data through a communication link of an inspection unmanned aerial vehicle, a relay unmanned aerial vehicle and a ground station, wherein the inspection unmanned aerial vehicle sends the data to the relay unmanned aerial vehicle through the COFDM communication mode, and the relay unmanned aerial vehicle sends the data to the ground station through the COFDM communication mode.
4. The unmanned aerial vehicle power inspection method based on 5G communication of claim 1, wherein the obtaining of the multi-modal data of the target power device comprises: and the unmanned aerial vehicle carries out the multi-mode data acquisition on the target power equipment by utilizing the carried photoelectric equipment.
5. The unmanned aerial vehicle power inspection method based on 5G communication according to claim 1, wherein the 5G slicing technology comprises: the method comprises the following steps of uRLLC control type slicing, mMTC massive machine type information acquisition slicing and eMBB enhanced mobile bandwidth slicing.
6. The unmanned aerial vehicle power inspection method based on 5G communication of claim 5, wherein the processing of the multi-modal data according to 5G slicing technology comprises:
transmitting instruction data with high real-time requirements by using the uRLLC control-class slice; 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.
7. The unmanned aerial vehicle power inspection method based on 5G communication of claim 1, wherein the loading the slicing result on PUSCH of 5G when uplink coverage of 5G is good or loading the slicing result on PUSCH of LTE when uplink coverage of 5G is limited comprises:
when the SINR of the uplink is larger than the quality difference threshold, the 5G uplink coverage is good, and the transmission of the slicing result is kept in the 5G network;
and when the uplink SINR is smaller than the sum of the quality difference threshold and the hysteresis coefficient, limiting the 5G uplink coverage, and switching the transmission of the slicing result to the LTE network.
8. The utility model provides an unmanned aerial vehicle power inspection device based on 5G communication which characterized in that includes:
the multi-mode data acquisition and initial detection module comprises: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring multi-mode data of target power equipment and initially detecting whether the multi-mode data is abnormal;
a slicing processing module: the system is used for processing the multi-modal data according to a 5G slicing technology to obtain a slicing result;
the multi-mode data transmission module: the slicing result is carried on a PUSCH of 5G when the uplink coverage of 5G is good, or carried on a PUSCH of LTE when the uplink coverage of 5G is limited, and uploaded to a cloud;
the multi-mode data initial detection abnormity processing module is used for carrying out secondary abnormity detection on the multi-mode data by the cloud end when the multi-mode data initially detected by the unmanned aerial vehicle is abnormal, sending an alarm signal carrying abnormal diagnosis information to the unmanned aerial vehicle when the secondary detection is abnormal, and enabling the unmanned aerial vehicle to return to an abnormal point for high-definition live broadcast;
and the normal multi-mode data initial detection processing module is used for updating a detection model according to the slicing result by the cloud when the multi-mode data initially detected by the unmanned aerial vehicle is normal, issuing the detection model to the unmanned aerial vehicle, and executing subsequent initial detection action of the multi-mode data by the unmanned aerial vehicle according to the latest detection model.
9. A terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a drone power patrol method based on 5G communications according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement a method for 5G communication based drone power patrol inspection according to any of claims 1 to 7.
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| CN114125726B (en) * | 2021-11-01 | 2023-02-24 | 哈尔滨工业大学 | Information piggybacking device, system and method for wide area Internet of things under mMTC (multimedia type communication technology) background |
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| CN115941514A (en) * | 2022-09-29 | 2023-04-07 | 国网浙江省电力有限公司桐乡市供电公司 | Unmanned aerial vehicle self-inspection system and method based on 5G slicing technology |
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