CN114928392B - 5G-based unmanned aerial vehicle automatic inspection data real-time return method and system - Google Patents
5G-based unmanned aerial vehicle automatic inspection data real-time return method and system Download PDFInfo
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Abstract
The invention discloses a 5G-based unmanned aerial vehicle automatic inspection data real-time return method and a system, and the 5G-based unmanned aerial vehicle automatic inspection data real-time return method comprises the following steps: s1, unmanned aerial vehicle inspection, obtaining real-time inspection data; s2, encrypting the inspection data; s3, transmitting the encrypted data and the secret key formed by encryption to a cloud platform through 5G channels, and decrypting by the cloud platform according to the encrypted data and the secret key to obtain original inspection data; s4, the original inspection data are transmitted to the measurement and control analysis end through the 5G intranet to obtain measurement and control data, the measurement and control data are fed back to the unmanned aerial vehicle through the cloud platform, and the unmanned aerial vehicle performs targeted inspection according to the measurement and control data. The invention utilizes 5G communication transmission, improves the transmission speed of the inspection data, and can carry out long-distance inspection; the encryption means is used to improve the security of the inspection data; the inspection data can be transmitted back and analyzed in real time, the unmanned aerial vehicle is flexibly scheduled, and the automatic inspection efficiency of the unmanned aerial vehicle is improved.
Description
Technical Field
The invention relates to the technical field of 5G, in particular to an unmanned aerial vehicle automatic inspection data real-time return method and system based on 5G.
Background
5G is a fifth generation mobile communication technology, is a new generation broadband mobile communication technology with the characteristics of high speed, low time delay and large connection, and is a network infrastructure for realizing man-machine object interconnection. The international telecommunications union defines three general categories of application scenarios of 5G, namely enhanced mobile broadband, ultra-high reliability low latency communications and mass machine type communications. The enhanced mobile broadband is mainly oriented to the explosive growth of mobile internet traffic, and provides more extreme application experience for mobile internet users; the ultra-high reliability low-delay communication is mainly oriented to the application requirements of the vertical industry with extremely high requirements on delay and reliability, such as industrial control, telemedicine, automatic driving and the like; the mass machine type communication is mainly oriented to application requirements of smart cities, smart home, environment monitoring and the like aiming at sensing and data acquisition.
The unmanned aerial vehicle is applied in the industrial fields of inspection, mapping, agriculture and forestry, security protection and the like to represent a situation of rapid development, but is limited by a fence for measuring and controlling radius and sight distance transmission for a long time, so that the pain points which are not far away from flying, afraid of shielding, cannot be transmitted out and are difficult to manage and control are difficult to eradicate, the unmanned aerial vehicle application efficiency is restricted, the unmanned aerial vehicle use cost is increased, and the industrial application development is greatly hindered. Traditional unmanned aerial vehicle adopts the shortwave communication mode to control, and with the flight hand inspection distance limit to several kilometers within range, the transmission of electricity inspection often involves hundred kilometers distance, and building and mountain body form simultaneously and shelter from high frequency radio signal, in the region that city and topography are complicated, inspection distance straight line decline, inspection personnel need frequent transition, inspection efficiency can't promote. Limited by the current situations such as 4G network bandwidth, time delay and the like, inspection photos acquired in the current unmanned aerial vehicle inspection process often need to be transferred to a defect recognition platform for defect recognition through an SD card mode after inspection personnel are finished, often all take days as a unit, the inspection process cannot be managed and controlled in real time, and inspection data cannot be analyzed in real time.
The unmanned aerial vehicle is used as a comprehensive carrier of artificial intelligence, big data and the Internet of things, is very compatible with the characteristics of ultra-high bandwidth, ultra-low time delay, mass connection, interference suppression and the like of a 5G technology, and can rapidly and effectively monitor a high-altitude target of a power grid during inspection. Therefore, the invention provides a 5G-based unmanned aerial vehicle automatic inspection data real-time feedback method and system, which effectively solve the problems that inspection data transmission is not timely, inspection data cannot be subjected to real-time feedback analysis, and inspection data safety cannot be guaranteed.
The communication and data return method of unmanned aerial vehicle in the cluster disclosed in China patent literature is disclosed as CN109905164B, and comprises the following steps: a. clustering unmanned aerial vehicles; b. election of initial cluster head unmanned aerial vehicle in each virtual cluster: (1) for each virtual cluster, calculating a weight parameter of each unmanned aerial vehicle; (2) determining an initial cluster head according to the weight parameters; c. election of a common cluster head and clustering of an unmanned aerial vehicle; d. the unmanned aerial vehicle sends the video information who gathers to this layer ordinary cluster head unmanned aerial vehicle, and ordinary cluster head unmanned aerial vehicle uploads video information to initial cluster head step by step, and the biggest initial cluster head unmanned aerial vehicle of weight of electing plays the data reception and command control center that relay unmanned aerial vehicle will gather to ground. The invention adopts the overlapping clustering method integrating multiple parameter weights, can effectively avoid the blindness of messages, reduce the generation of redundant data packets, not only can avoid channel conflict and reduce the transmission delay among nodes, but also can establish a plurality of communication paths, thereby effectively improving the operation reliability and video transmission quality of the emergency communication network. But its security against data is not guaranteed.
Disclosure of Invention
The invention solves the problems that the transmission of the inspection data of the existing unmanned aerial vehicle is not timely and the security of the inspection data cannot be guaranteed, and provides a 5G-based unmanned aerial vehicle automatic inspection data real-time return method and system, which are characterized in that inspection data are collected on a measurement and control platform of the unmanned aerial vehicle, encryption is carried out to generate encryption data and a secret key, the encryption data and the secret key are respectively transmitted to a cloud platform through 5G, the decrypted original inspection data are transmitted to a measurement and control analysis end through a 5G intranet for data analysis, and the measurement and control data are fed back to the unmanned aerial vehicle; the invention uses 5G communication transmission, greatly improves the transmission speed of the inspection data, and can carry out long-distance inspection; the encryption means is used to improve the security of the inspection data; the inspection data can be transmitted back and analyzed in real time, so that the unmanned aerial vehicle can be timely scheduled, and the automatic inspection efficiency of the unmanned aerial vehicle is improved.
In order to achieve the above purpose, the present invention adopts the following technical scheme: A5G-based unmanned aerial vehicle automatic inspection data real-time return method comprises the following steps:
s1, unmanned aerial vehicle inspection, obtaining real-time inspection data;
s2, encrypting the inspection data;
s3, transmitting the encrypted data and the secret key formed by encryption to a cloud platform through 5G channels, and decrypting by the cloud platform according to the encrypted data and the secret key to obtain original inspection data again;
s4, the original inspection data are transmitted to the measurement and control analysis end through a 5G intranet, the inspection data are analyzed to obtain measurement and control data, the measurement and control data are fed back to the unmanned aerial vehicle through the cloud platform, and the unmanned aerial vehicle performs targeted inspection according to the measurement and control data. According to the invention, the acquisition end of the unmanned aerial vehicle airborne measurement and control platform is utilized to obtain the inspection data, the inspection data is temporarily stored in a local database, then the inspection data is encrypted by an encryption module, the encrypted data and a secret key generated by encryption are transmitted into a cloud platform, the encrypted data and the secret key are transmitted into a respective transmission channel, the cloud platform is responsible for decryption and is transmitted into a measurement and control analysis end for analysis through a 5G intranet, and finally the measurement and control data is obtained for feedback; according to the method, the security of the transmission of the inspection data to the cloud platform is ensured by encrypting the inspection data, the cloud platform transmits the decrypted inspection data to the measurement and control analysis end, the measurement and control analysis end generates measurement and control data and feeds the measurement and control data back to the unmanned aerial vehicle through an encryption instruction, and the unmanned aerial vehicle can be controlled in time, so that the working efficiency of the unmanned aerial vehicle is greatly improved.
Preferably, the step S2 includes the steps of:
s21, carrying out data screening on the inspection data, and cleaning the inspection data exceeding a preset data range;
s22, mapping the inspection data into binary data, obtaining inspection data discrimination codes by using a hash algorithm, and forming binary data to be encrypted;
s23, storing binary data to be encrypted in groups by taking 16 bits as a group, and supplementing bits by 0 if the binary data to be encrypted is less than 16 bits;
s24, mapping binary data to be encrypted of each group into a binary image, wherein 0 is defined as black, 1 is defined as white, the gray value of a white pixel is 255, the gray value of a black pixel is 0, and an encryption binary matrix of 4*4 is established according to a sequence code after the inverse operation;
s25, randomly inserting a protection block into the binarization matrix to form an encryption binarization matrix of 5*5;
s26, the inspection data distinguishing code, the 0 bit supplementing position and the sequence code are stored in the secret key. In the invention, the encryption utilizes data conversion, and the inspection data is encrypted by combining the gray level binary image, so that the encryption process is novel.
Preferably, the key is in a gray scale, the protection block performs random rendering corresponding to the position in the key, the range of the rendered pixel gray scale value is 1-254, and the rendered pixel gray scale value and the corresponding position are stored in the key. According to the invention, the rendering part cannot be observed by naked eyes after being processed, the decryption platform of the cloud platform is required to observe, the position of each protection block adopts a random rendering mode, the pixel gray value is randomly selected, and the rendering information is stored in the secret key for use in decryption, so that the information security is improved.
Preferably, the binary data to be encrypted further comprises binary data mapped by the unmanned aerial vehicle real-time radar coordinate data and binary data mapped by the data inspection time. In the invention, binary data to be encrypted are the inspection data discrimination code, the binary data of the real-time radar coordinate data of the unmanned aerial vehicle and the binary data of the data inspection time, and the sequence of the three data is fixed.
Preferably, the step S3 includes the steps of:
s31, the cloud platform respectively receives the encrypted data and the secret key and then respectively stores and identifies the encrypted data and the secret key;
s32, extracting a key in a key library, and establishing a decryption chain with a decryption platform of the cloud platform according to the inspection data discrimination code in the key; the decryption chain contains the relation between the original inspection data and the binary data to be encrypted;
s33, after the decryption chain is established, the decryption station identifies the position of the protection block according to the gray value of the rendering pixel in the key and the corresponding position information and performs extraction processing;
s34, obtaining a plurality of corresponding encryption binarization matrixes according to the inspection data discrimination codes of the secret keys, converting the encryption binarization matrixes into a plurality of encryption binarization matrixes of 4*4, performing inverse color operation, remapping the encryption binarization matrixes into binary data to be encrypted according to the sequence codes and the 0 bit positions, and finally obtaining the original inspection data by a decryption chain. In the invention, the encryption inverse process is utilized to decrypt, firstly, the encryption data and the secret key are stored and identified, the protection block is extracted from the rendering information in the secret key, and finally, the original inspection data is obtained according to the inverse transformation of the matrix and a series of transformations, the whole process is required to be carried out in the cloud platform, and the decryption process is safe.
Preferably, in step S4, specifically, if the measurement and control analysis end determines that the inspection data of a place is abnormal, the measurement and control analysis end sends an encryption instruction to the unmanned aerial vehicle airborne measurement and control platform through 5G communication, so that the unmanned aerial vehicle strengthens the inspection times of the place. In the invention, aiming at the encrypted instruction of the measurement and control analysis end, the unmanned aerial vehicle is also provided with the instruction decryption module, and a series of inspection operations are carried out according to the instruction, so that the response is very rapid.
The utility model provides an unmanned aerial vehicle automatic inspection data real-time passback system based on 5G transmission, is applicable to above-mentioned unmanned aerial vehicle automatic inspection data real-time passback method based on 5G, includes
The unmanned aerial vehicle airborne measurement and control platform is provided with an acquisition end and an encryption module, and is used for acquiring patrol data, encrypting the patrol data and uploading and cleaning a local database at regular time;
the cloud platform is used for receiving and storing encrypted data and keys formed by encryption, comprises a key library and an encrypted database, is used for decrypting encrypted inspection data and is provided with a decryption platform;
the measurement and control analysis end receives decrypted original inspection data sent through the 5G intranet, has a deep learning function, and is provided with an analysis end and a feedback end. In the invention, the inspection data model is established at the measurement and control analysis end, primary judgment of the inspection data can be carried out by comparing the inspection data with the data in the inspection data model, after the primary judgment is finished, deep measurement and control analysis is carried out, and finally the encrypted inspection data is generated, so that the timeliness of the whole process is strong, and the error rate is low.
Preferably, the unmanned aerial vehicle airborne measurement and control platform is connected with the cloud platform through 5G communication, the cloud platform is connected with the measurement and control analysis end through a 5G intranet, and the intranet is used for carrying out closed management and control on various data inside. In the invention, the inspection data and the measurement and control data between the cloud platform and the measurement and control analysis end are transmitted through a 5G intranet.
The beneficial effects of the invention are as follows:
1. according to the scheme, 5G communication transmission is utilized, so that the transmission speed of the inspection data is greatly improved, and long-distance inspection can be performed;
2. the invention uses the encryption means, is provided with the encryption data and the secret key, and the decryption process can only be carried out in the cloud platform, so that the security of the inspection data is improved;
3. the inspection data can be transmitted back and analyzed in real time, so that the unmanned aerial vehicle can be timely scheduled, and the automatic inspection efficiency of the unmanned aerial vehicle is improved.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic structural view of the present invention.
Detailed Description
Examples:
the embodiment provides a 5G-based automatic unmanned aerial vehicle inspection data real-time return method, referring to FIG. 1, mainly comprising the following steps of S1, unmanned aerial vehicle inspection, and acquisition of real-time inspection data; specifically, in this step, the collecting end collects the inspection data in real time and transmits the inspection data to the local database connected with the collecting end, where the real-time inspection data can be of various data types.
S2, encrypting the inspection data; specifically, the step is divided into the following sub-steps, step S21, firstly, performing data cleaning and screening on the obtained inspection data, cleaning the inspection data beyond the preset data range, and leaving only the inspection data within the data range; step S22, mapping the inspection data into binary data, and obtaining an inspection data discrimination code by using a hash algorithm, wherein the discrimination code is also a binary number with a fixed length in the embodiment; step S23, storing binary data to be encrypted, namely storing the binary data in a group of 16 bits, and supplementing bits by 0 when the binary data is less than 16 bits, namely less than a group; forming a plurality of modules of 16 bits as a group; step S24, mapping binary data to be encrypted of each group into binary images, performing regular definition, defining 0 into black, defining 1 into white, wherein the gray value of a white pixel is 255, the gray value of the black pixel is 0, performing inverse color operation, and establishing an encryption binary matrix of 4*4 according to a sequence code; step S25, randomly inserting a protection block into the formed encryption binarization matrix of 4*4 to finally obtain an encryption binarization matrix of 5*5; in this embodiment, the number of the randomly inserted protection blocks is 9, and in step S26, the inspection data identification code, the 0 bit complement position and the sequence code are stored in the key, so that the data can be decrypted conveniently. In the invention, the encryption utilizes data conversion, and the inspection data is encrypted by combining the gray level binary image, so that the encryption process is novel.
Step S3, encryption data and a secret key are respectively formed after encryption, and are transmitted to a cloud platform through 5G channels, the cloud platform decrypts according to the encryption data and the secret key, and original inspection data are obtained after decryption is completed; in this embodiment, the 5G lane transmission refers to transmission by using 5G communication but using different network environments, and specifically includes the following steps, step S31, in which the cloud platform receives the encrypted data and the key respectively, stores the encrypted data and the key, and identifies the encrypted data and the key when decrypting the encrypted data; step S32, extracting the key in the key library, and creating a decryption chain by the inspection data discrimination code in the key and the cloud platform decryption table, wherein in the embodiment, the decryption chain contains the relation between binary data to be encrypted and original inspection data; step S33, after the decryption chain is established, the decryption station identifies the position of the protection block according to the gray value of the rendering pixel in the key and the corresponding position information, and performs extraction processing; step S34, a plurality of corresponding 5*5 encryption binarization matrixes are obtained according to the routing inspection data discrimination codes of the secret keys, the encryption binarization matrixes are converted into a plurality of 4*4 encryption binarization matrixes, then the inverse color operation is carried out, the binary data to be encrypted are remapped by means of the 0 bit supplementing position and the sequence code matrix, and the original routing inspection data can be obtained by the binary data to be encrypted through a decryption chain. In the invention, the encryption inverse process is utilized to decrypt, firstly, the encryption data and the secret key are stored and identified, the protection block is extracted from the rendering information in the secret key, and finally, the original inspection data is obtained according to the inverse transformation of the matrix and a series of transformations, the whole process is required to be carried out in the cloud platform, and the decryption process is safe.
And S4, transmitting the original inspection data to the measurement and control analysis end from the 5G intranet, analyzing the inspection data to obtain final measurement and control data, transmitting feedback measurement and control data to the unmanned aerial vehicle through the cloud platform, and carrying out targeted inspection by the unmanned aerial vehicle according to the measurement and control data. Specifically, when the measurement and control analysis end judges that the inspection data at a certain place is abnormal, the measurement and control analysis end can send an encryption instruction to the unmanned aerial vehicle airborne measurement and control platform, and the unmanned aerial vehicle can strengthen the inspection times at the place after receiving the instruction, and in the embodiment, the transmission mode is 5G communication. In the invention, aiming at the encrypted instruction of the measurement and control analysis end, the unmanned aerial vehicle is also provided with the instruction decryption module, and a series of inspection operations are carried out according to the instruction, so that the response is very rapid.
In the invention, the key is in the existence form of a gray map, random rendering operation is carried out on the position of the protection block corresponding to the key, in order to distinguish black and white in the step S2, the gray value of the rendered pixel is required to be in the range of 1-254, and the gray value of the rendered pixel and the corresponding position are stored in the key. According to the invention, the rendering part cannot be observed by naked eyes after being processed, the decryption platform of the cloud platform is required to observe, the position of each protection block adopts a random rendering mode, the pixel gray value is randomly selected, and the rendering information is stored in the secret key for use in decryption, so that the information security is improved.
The binary data to be encrypted in the invention comprises the binary data mapped by the real-time radar coordinate data of the unmanned aerial vehicle and the binary data mapped by the data inspection time besides the inspection data discrimination code. In the invention, binary data to be encrypted are the inspection data discrimination code, the binary data of the real-time radar coordinate data of the unmanned aerial vehicle and the binary data of the data inspection time, and the sequence of the three data is fixed.
According to the method, the acquisition end of the unmanned aerial vehicle airborne measurement and control platform is utilized to obtain the inspection data, the inspection data is temporarily stored in the local database, then the inspection data is encrypted by the encryption module, the encrypted data and the secret key generated by encryption are transmitted into the cloud platform, the encrypted data and the secret key are transmitted into the cloud platform, the cloud platform is responsible for decryption and are transmitted into the measurement and control analysis end for analysis through the 5G intranet, and finally the measurement and control data is obtained for feedback; according to the method, the security of the transmission of the inspection data to the cloud platform is ensured by encrypting the inspection data, the cloud platform transmits the decrypted inspection data to the measurement and control analysis end, the measurement and control analysis end generates measurement and control data and feeds the measurement and control data back to the unmanned aerial vehicle through an encryption instruction, and the unmanned aerial vehicle can be controlled in time, so that the working efficiency of the unmanned aerial vehicle is greatly improved.
The embodiment also provides an unmanned aerial vehicle automatic inspection data real-time return system based on 5G, refer to FIG. 2, mainly including unmanned aerial vehicle airborne measurement and control platform, cloud platform and measurement and control analysis end, wherein, unmanned aerial vehicle airborne measurement and control platform includes collection end and encryption module, both electricity are connected, encryption module still with cloud platform's encryption database and key storehouse communication connection, the function of this platform is mainly gathered inspection data and is carried out data encryption, the platform still is provided with local database simultaneously, not marked in the figure, be located between collection end and the encryption module, and be connected with collection end and encryption module electricity respectively, local database stores interim inspection data, upload and clear up regularly. The cloud platform comprises a decryption platform, an encryption database and a key store, wherein one end of the decryption platform is respectively and electrically connected with the encryption database and the key store, the other end of the decryption platform is in communication connection with a measurement and control analysis end, the functions of the decryption platform decrypt encrypted inspection data, and the functions of the decryption platform store the encryption data and the key; the whole cloud platform has the functions of receiving, storing and decrypting the encrypted data and the secret key. The set measurement and control analysis end comprises an analysis end and a feedback end, wherein the analysis end and the feedback end are electrically connected, the analysis end is in communication connection with a decryption table of the cloud platform, and the feedback end is connected with the cloud platform for respectively analyzing inspection data and feeding back measurement and control data; the measurement and control analysis end receives decrypted original inspection data sent by the cloud platform, and the sending mode is a mode of passing through a 5G intranet. In the invention, the inspection data model is established at the analysis end of the measurement and control analysis end, the primary judgment of the inspection data can be carried out by comparing the inspection data with the data in the inspection data model, after the primary judgment is finished, the deep measurement and control analysis is carried out, the encrypted inspection data is generated at the feedback end, the timeliness of the whole process is strong, and the error rate is low.
The unmanned aerial vehicle airborne measurement and control platform is connected to the cloud platform through 5G communication, the cloud platform is connected to the measurement and control analysis end through a 5G intranet, and the intranet realizes closed control of various data inside. In the invention, between the cloud platform and the measurement and control analysis end, the inspection data and the measurement and control data are communicated and transmitted through a 5G intranet.
In addition, as can be obtained by referring to fig. 2, the solid line represents the transmission line of the inspection data, the dotted line represents the transmission line of the measurement and control data, the receiving of the data and the feedback process of the data of one unmanned aerial vehicle are completed together by means of 5G communication transmission, and the whole process is very responsive.
The foregoing embodiments are further illustrative and explanatory of the invention, as is not restrictive of the invention, and any modifications, equivalents, and improvements made within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The automatic inspection data real-time feedback method of the unmanned aerial vehicle based on 5G is characterized by comprising the following steps of:
s1, unmanned aerial vehicle inspection, obtaining real-time inspection data;
s2, encrypting the inspection data;
s3, transmitting the encrypted data and the secret key formed by encryption to a cloud platform through 5G channels, and decrypting by the cloud platform according to the encrypted data and the secret key to obtain original inspection data again;
s4, transmitting the original inspection data to a measurement and control analysis end through a 5G intranet, analyzing the inspection data to obtain measurement and control data, feeding back the measurement and control data to the unmanned aerial vehicle through a cloud platform, and carrying out targeted inspection according to the measurement and control data by the unmanned aerial vehicle;
step S2 comprises the steps of:
s21, carrying out data screening on the inspection data, and cleaning the inspection data exceeding a preset data range;
s22, mapping the inspection data into binary data, obtaining inspection data discrimination codes by using a hash algorithm, and forming binary data to be encrypted;
s23, storing binary data to be encrypted in groups by taking 16 bits as a group, and supplementing bits by 0 if the binary data to be encrypted is less than 16 bits;
s24, mapping binary data to be encrypted of each group into a binary image, wherein 0 is defined as black, 1 is defined as white, the gray value of a white pixel is 255, the gray value of a black pixel is 0, and an encryption binary matrix of 4*4 is established according to a sequence code after the inverse operation;
s25, randomly inserting a protection block into the binarization matrix to form an encryption binarization matrix of 5*5;
s26, the inspection data discrimination code, the 0 bit supplementing position and the sequence code are stored in the secret key;
the key is in the form of a gray scale map, the protection block performs random rendering corresponding to the position in the key, the range of the gray scale value of the rendered pixel is 1-254, and the gray scale value of the rendered pixel and the corresponding position are stored in the key.
2. The 5G-based real-time return method of unmanned aerial vehicle automatic inspection data according to claim 1, wherein the binary data to be encrypted further comprises binary data mapped by unmanned aerial vehicle real-time radar coordinate data and binary data mapped by data inspection time.
3. The method for real-time feedback of automatic inspection data of 5G-based unmanned aerial vehicle according to claim 1, wherein the step S3 comprises the following steps:
s31, the cloud platform respectively receives the encrypted data and the secret key and then respectively stores and identifies the encrypted data and the secret key;
s32, extracting a key in a key library, and establishing a decryption chain with a decryption platform of the cloud platform according to the inspection data discrimination code in the key; the decryption chain contains the relation between the original inspection data and the binary data to be encrypted;
s33, after the decryption chain is established, the decryption station identifies the position of the protection block according to the gray value of the rendering pixel in the key and the corresponding position information and performs extraction processing;
s34, obtaining a plurality of corresponding encryption binarization matrixes according to the inspection data discrimination codes of the secret keys, converting the encryption binarization matrixes into a plurality of encryption binarization matrixes of 4*4, performing inverse color operation, remapping the encryption binarization matrixes into binary data to be encrypted according to the sequence codes and the 0 bit positions, and finally obtaining the original inspection data by a decryption chain.
4. The method for real-time feedback of automatic inspection data of an unmanned aerial vehicle based on 5G according to claim 1, wherein the step S4 is specifically that if the inspection data of a place is abnormal through the measurement and control analysis end, the measurement and control analysis end sends an encryption command to an unmanned aerial vehicle airborne measurement and control platform through 5G communication, and the unmanned aerial vehicle enhances the inspection times of the place.
5. The unmanned aerial vehicle automatic inspection data real-time feedback system based on 5G is suitable for the unmanned aerial vehicle automatic inspection data real-time feedback method based on 5G as claimed in any one of claims 1 to 4, and is characterized by comprising the following steps
The unmanned aerial vehicle airborne measurement and control platform is provided with an acquisition end and an encryption module, and is used for acquiring patrol data, encrypting the patrol data and uploading and cleaning a local database at regular time;
the cloud platform is used for receiving and storing encrypted data and keys formed by encryption, comprises a key library and an encrypted database, is used for decrypting encrypted inspection data and is provided with a decryption platform;
the measurement and control analysis end receives decrypted original inspection data sent through the 5G intranet, has a deep learning function, and is provided with an analysis end and a feedback end.
6. The unmanned aerial vehicle automatic inspection data real-time feedback system based on 5G of claim 5, wherein the unmanned aerial vehicle airborne measurement and control platform is connected with the cloud platform through 5G communication, the cloud platform is connected with the measurement and control analysis end through a 5G intranet, and the intranet is used for carrying out closed management and control on various data inside.
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