CN117891662B - Data management system based on unmanned aerial vehicle survey and drawing - Google Patents
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Abstract
The invention discloses a data management system based on unmanned aerial vehicle mapping, which relates to the technical field of mapping data management.
Description
Technical Field
The invention relates to the technical field of mapping data management, in particular to a data management system based on unmanned aerial vehicle mapping.
Background
The mapping literal is understood as measurement and drawing, which is based on computer technology, photoelectric technology, network communication technology, space science and information science, and uses Global Navigation Satellite System (GNSS), remote Sensing (RS) and Geographic Information System (GIS) as technical cores, and selects the existing characteristic points and boundary lines of the ground and obtains the graph and position reflecting the current situation of the ground and the related information thereof by a measurement means for engineering construction, planning design and administrative management;
The importance of the mapping data is self-evident, the reading authority of the mapping data is limited layer by layer in the prior art, the number of the mapping data which can be read by the mapping data is preset based on different authorities, the safety of the mapping data can be well guaranteed, but the mapping data is always collected due to the consideration of the geographic position and the collection difficulty when being collected, the mapping data of a mapping area is usually collected by an unmanned aerial vehicle through the unmanned aerial vehicle, and the collected mapping data is transmitted to a cloud control center for safe storage by the unmanned aerial vehicle;
At present, an unmanned plane mainly uses an encryption communication protocol (such as SSL/TLS) to encrypt and transmit data in the process of transmitting mapping data, the SSL/TLS protocol uses a public key encryption algorithm and a symmetric encryption algorithm to ensure confidentiality and integrity of communication, when data transmission is carried out, negotiation is carried out between the unmanned plane and a cloud control center to confirm encryption and decryption keys, in the data transmission stage, both parties use the encryption and decryption keys to encrypt and decrypt the communication, confidentiality and integrity of the communication are ensured, in the process, the keys play a decisive role, and if the keys are lost, the mapping data are not in safety;
The key encryption is a very conventional encryption means, and a third party can preferentially think about stealing the key or coupling and cracking the key when intercepting the encrypted data;
In order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide a data management system based on unmanned aerial vehicle mapping, which aims to solve the problems that in the prior art, mapping data in a transmission process is encrypted by using a secret key, if the secret key is lost, the transmission of the mapping data is unsafe, the secret key is encrypted by using a very conventional encryption means, and a third party can preferentially think about stealing the secret key or coupling and cracking the secret key when intercepting the encrypted data;
the aim of the invention can be achieved by the following technical scheme:
a data management system based on unmanned aerial vehicle mapping, comprising:
The system comprises a mapping module, a mapping module and a control module, wherein the mapping module is used for mapping all mapping areas of a target scene by using an unmanned aerial vehicle, the mapping module comprises a mapping unit and a data conversion unit, the mapping personnel divides the target scene into P1 mapping areas according to geographic features in the target scene, P1 is a preset threshold, the value of P1 is set by the mapping personnel, and one mapping area corresponds to one area number;
The mapping unit comprises an unmanned aerial vehicle, generates a plurality of flight mapping paths based on a target scene according to the features of terrains, landforms and obstacles in each mapping area in the target scene, selects one flight mapping path with the shortest flight duration from the flight mapping paths as the optimal flight mapping path of the target scene, inputs the flight mapping paths into the unmanned aerial vehicle, and carries out flight according to the optimal flight mapping path of the target scene and acquires mapping data in each mapping area in the flight process;
When the unmanned aerial vehicle finishes collecting the mapping data of one mapping area, the mapping unit transmits the mapping data of the mapping area to the data conversion unit, and the data conversion unit converts the received mapping data of each mapping area according to a preset conversion rule to generate a conversion comparison table and mapping conversion data of each mapping area;
The data transformation unit stores a transformation comparison table of each mapping area in the unmanned aerial vehicle hard disk, and transmits mapping transformation data of each mapping area to the cloud management center;
The cloud management center is used for restoring and analyzing the received mapping transformation data of each mapping area, and comprises a mapping data restoring unit which temporarily stores the received mapping transformation data of each mapping area, generates a deleting instruction and deletes the mapping transformation data of the corresponding mapping area stored in the unmanned aerial vehicle;
After the unmanned aerial vehicle finishes flying and returns to the hands of the surveying staff, the surveying staff takes out the unmanned aerial vehicle hard disk to read the transformation comparison tables of all the surveying areas of the target scene stored in the unmanned aerial vehicle hard disk, inputs the transformation comparison tables into the surveying data reduction unit, and the surveying data reduction unit reduces the surveying transformation data of all the surveying areas temporarily stored in the unmanned aerial vehicle according to the received transformation comparison tables of all the surveying areas in the target scene and a preset reduction rule to generate surveying reduction data of all the surveying areas in the target scene.
Further, the target scene is determined by a mapping staff according to the requirements and purposes of a mapping project, and the area number of the mapping area is a character string formed by 8-bit random numbers.
Further, the mapping data of one of the mapping regions includes surface high resolution image data, surface gray scale information data, surface temperature distribution data, and three-dimensional point cloud data of the mapping region.
Further, the data transformation unit transforms the transformation look-up table and the specific transformation rules of the mapping transformation data for each mapping region as follows:
S11: converting the received mapping data of one mapping region into binary data and recalibrating the binary data into to-be-mapped transformation data of the mapping region, and respectively obtaining the data capacity A1 of the to-be-mapped transformation data of the mapping region and the total amount B1 of characters forming the to-be-mapped transformation data of the mapping region;
S12: the mapping area transformation comparison table is generated according to a preset generation rule, and the mapping area transformation comparison table is specifically as follows:
S121: using the formula Respectively calculating and acquiring a position transformation critical quantity C1 and a position transformation selected quantity C2 of the mapping area, wherein alpha 1 and alpha 2 are respectively preset adjusting coefficients;
s122: continuously and repeatedly using a random function, randomly selecting C2 times between the number 1 and the position conversion critical quantity C1 to obtain C2 numbers, and marking the selected numbers as D1, D2., dd, d=1 and 2, C2 sequentially from front to back according to the sequence selected by the numbers, and recalibrating the numbers D1 and D2., dd into first conversion numbers, wherein the obtained C2 numbers are different, and the randomly selected numbers can be the number 1 or the number C2;
s123: randomly selecting a first conversion number from the first conversion numbers D1, D2.. Dd, wherein the selected first conversion number is different from the first conversion number D1, and the selected first conversion number is used as the corresponding number of the first conversion number D1 to be recalibrated into a second conversion number and marked as E1;
s124: according to S123, sequentially calculating and obtaining second conversion numbers E1 and E2..Ed, wherein the second conversion numbers E1 and E2..Ed are corresponding numbers of the first conversion numbers D1 and D2...Dd respectively;
S125: creating an empty data table, wherein the data table comprises two fields, namely a first transformation field and a second transformation field, the first transformation field is stored with first transformation numbers D1 and D2.;
S13: calculating and obtaining the transformation reduction times I1 of the mapping area according to a preset calculation rule;
S14: cutting according to a preset cutting rule to obtain all to-be-drawn transformation data blocks H1 and H2..Hh, wherein h=1 and 2..1+G1 of the mapping area;
s15: performing position replacement on the to-be-mapped transformation data block H1 of the mapping region according to a preset replacement rule to obtain a mapped transformation data block J1;
S16: sequentially carrying out position transformation on the to-be-mapped transformation data blocks H1 and H2..Hh-1 of the mapping region according to S15 to obtain mapping transformation data blocks J1 and J2...Jh-1;
S17: according to the sequence of the mapping transformation data blocks J1, J2.. Jh-1 and the drawing transformation data block Hh to be tested, splicing the mapping transformation data blocks J1, J2.. Jh-1 and the drawing transformation data block Hh to be tested to generate mapping transformation data of the mapping region;
S18: a transformation look-up table and mapping transformation data for each mapping region are generated in accordance with S11 to S17.
Further, the specific calculation rule for calculating and obtaining the mapping region transformation reduction number I1 in S13 is as follows:
S131: obtaining a plurality of loop chains according to the corresponding relation between the first conversion number and the second conversion number in the mapping area conversion comparison table, marking the number of the obtained loop chains as P2, wherein one loop chain at least comprises a first conversion number and a second conversion number, and the corresponding relation between the first conversion number and the second conversion number in one loop chain is cyclic;
s132: and respectively obtaining the lattice loop chain lengths of the P1 loop chains, solving the least common multiple of the lattice loop chain lengths, calibrating the lattice loop chain lengths as the transformation reduction times of the mapping region, and marking the transformation reduction times as I1.
Further, the step S14 is to cut and obtain all the to-be-mapped transformation data blocks H1, H2..hh of the mapping region according to the following specific cutting rule:
S141: using the formula Calculating the number G1 of to-be-converted parts of the to-be-drawn conversion data of the mapping area, wherein floor () is a downward rounding function;
S142: equally cutting the to-be-measured drawing transformation data of the mapping area into 1+G1 parts of to-be-measured drawing transformation data blocks, wherein for the former G1 parts of to-be-measured drawing transformation data blocks, the number of characters forming each part of to-be-measured drawing transformation data blocks is C1, for the last part of to-be-measured drawing transformation data blocks, the number of characters forming the last part of to-be-measured drawing transformation data blocks is G, the value of G is determined by B1, if B1 can be divided by C1, the value of G is 0, namely the characters forming the 1+G1 parts of to-be-measured drawing transformation data blocks are 0, otherwise, the value of G is B1-G1×C1, namely the characters forming the 1+G1 parts of to-be-measured drawing transformation data blocks are B1-G1×C1;
And marking all the to-be-mapped transformation data blocks as H1, h.h. Hh, h=1, 2.1+g1 in sequence from left to right according to the positions in the to-be-mapped transformation data of the mapping region before cutting.
Further, the specific replacement rule for replacing the obtained mapping transformation data block J1 in S15 is as follows:
S151: according to the mapping region, comparing the first conversion number D1 and the corresponding second conversion number E1 stored in the conversion table, and according to the sequence from left to right, the D1-bit character and the E1-bit character in the to-be-drawn conversion data block H1 are exchanged, in other words, the D1-bit character in the to-be-drawn conversion data block H1 is placed in the E1-bit, and the E1-bit character is placed in the D1-bit;
S152: according to S151, according to the first transformation number D1 and the second transformation numbers E1, D2, and E2..dd and Ed, the D1 st bit character and the E1 st bit character, the D2 nd bit character and the E2 nd bit character in the transformed data block H1 to be mapped are swapped in the order from left to right;
s153: performing second position transformation on the to-be-drawn transformation data block H1 which has completed the first position transformation according to S151 to S152;
s154: the mapping transformation data block H1 is subjected to first and second position transformation for β1xi1/2 times in order according to S151 to S153 to obtain a mapping transformation data block, denoted J1.
Further, the specific restoration rule of the mapping restoration data of all the mapping areas in the target scene generated by restoring the mapping data restoring unit is as follows:
S21: obtaining a transformation comparison table of a mapping area in a target scene, and obtaining transformation reduction times K1 of the mapping area according to the transformation comparison table;
S22: calculating and obtaining the reduction times L1 of the mapping region by using a formula L1=K1-beta 1×K1/2, wherein beta 1 is a preset coefficient, and the reduction times of the mapping region are manually defined to represent mapping transformation data of the mapping region, and the mapping transformation data can be reduced to data before transformation by L1 times of transformation;
s23: carrying out L1 time position transformation on mapping transformation data of a to-be-mapped region according to S151 to S153, and recalibrating the transformed data into mapping restoration data of the mapping region;
S24: and sequentially calculating and acquiring mapping restoration data of all mapping areas in the target scene according to S21 to S23.
The invention has the beneficial effects that:
According to the invention, the mapping unit is arranged to collect mapping data of all mapping areas in the target scene based on the unmanned aerial vehicle, the data conversion unit is arranged to generate a corresponding conversion comparison table based on each mapping area in the target scene, and based on the corresponding relation between the first conversion number and the second conversion number in the conversion comparison table, the positions of characters in a plurality of to-be-mapped conversion data blocks divided by the mapping data of the corresponding mapping areas are converted, the data are transmitted to the cloud management center for temporary storage after conversion, only the corresponding conversion comparison table is reserved in the unmanned aerial vehicle, and the hard disk is taken out by mapping personnel for data reduction after the mapping is finished, so that on one hand, the safety of the mapping data in transmission is ensured, and meanwhile, even if the conversion comparison table is lost, the corresponding data in the unmanned aerial vehicle cannot be reduced for a plurality of times of mapping data which are not known to be converted, on the other hand, the corresponding conversion comparison table is only reserved after the cloud management center is used for completely receiving the data, so that the converted data and the mapping data for conversion are always stored in different places in a separated mode, and the possibility that the converted mapping data is reduced is avoided;
According to the invention, the corresponding relation is established between the first conversion number and the second conversion number, so that a plurality of loop chains are naturally formed, and the mapping data is restored based on the characteristic that the length of the plurality of loop chains is converted for a certain number of times.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a data management system based on unmanned aerial vehicle mapping comprises a mapping module and a cloud management center;
The mapping module is used for mapping all mapping areas of a target scene by using an unmanned aerial vehicle, the mapping module comprises a mapping unit and a data transformation unit, the target scene is determined by mapping staff according to the requirements and purposes of mapping projects, the mapping staff divides the target scene into P1 mapping areas according to geographic features in the target scene, the P1 is a preset threshold value, the value of the P1 is set by the mapping staff, one mapping area corresponds to one area number, and in the embodiment, the area number of the mapping area is a character string formed by 8-bit random numbers;
The surveying and mapping unit comprises an unmanned aerial vehicle, a plurality of flight surveying and mapping paths based on a target scene are generated by the surveying and mapping unit according to the features of the topography, the relief and the obstacle in each surveying and mapping area in the target scene, one flight surveying and mapping path with the shortest flight duration is selected from the flight surveying and mapping paths as the optimal flight surveying and mapping path of the target scene, the unmanned aerial vehicle flies according to the optimal flight surveying and mapping path of the target scene, and in the flying process, surveying and mapping data in each surveying and mapping area are acquired, wherein the fact that all surveying and mapping areas in the target scene are fully covered by the plurality of flight surveying and mapping paths generated by the surveying and mapping unit is needed, and the surveying and mapping data of one surveying and mapping area comprises earth surface high-resolution image data, earth surface gray information data, earth surface temperature distribution data and three-dimensional point cloud data of the surveying and mapping area;
when unmanned aerial vehicle is accomplished and is gathered the survey and drawing data of a survey and drawing region, survey and drawing data transmission to data transformation unit of this survey and drawing region of survey and drawing unit, the data transformation unit is received and is transformed the survey and drawing data of this survey and drawing region of survey and drawing unit transmission after the survey and drawing data of this survey and drawing region is generated according to predetermineeing and transform the rule, specifically as follows:
S11: converting the received mapping data of the mapping region into binary data, re-calibrating the converted binary data into to-be-mapped transformation data of the mapping region, and respectively obtaining the data capacity A1 of the to-be-mapped transformation data of the mapping region and the total amount B1 of characters forming the to-be-mapped transformation data of the mapping region;
S12: the mapping area transformation comparison table is generated according to a preset generation rule, and the mapping area transformation comparison table is specifically as follows:
S121: using the formula Respectively calculating and acquiring a position transformation critical quantity C1 and a position transformation selected quantity C2 of the mapping area, wherein alpha 1 and alpha 2 are respectively preset adjusting coefficients;
S122: continuously repeatedly using a random function, randomly selecting C2 times between the number 1 and the position conversion critical quantity C1 to obtain C2 numbers, sequentially marking the selected numbers as D1, D2., dd, d=1 and 2, C2 according to the sequence of the selected numbers, and recalibrating the numbers D1, D2., dd into first conversion numbers, wherein the randomly selected time of the first conversion numbers D1 is farthest from the current moment compared with the randomly selected time of the first conversion numbers D2., dd, the obtained C2 numbers are different according to the sequence of the selected numbers, and the randomly selected numbers can be the numbers 1 or the numbers C2;
s123: randomly selecting a first conversion number from the first conversion numbers D1, D2.. Dd, wherein the selected first conversion number is different from the first conversion number D1, and the selected first conversion number is used as the corresponding number of the first conversion number D1 to be recalibrated into a second conversion number and marked as E1;
S124: according to S123, the second conversion numbers E1, E2..ed are sequentially calculated and obtained, and the second conversion numbers E1, E2..ed are the corresponding numbers of the first conversion numbers D1, D2...dd, respectively
S125: creating an empty data table, wherein the data table comprises two fields, namely a first transformation field and a second transformation field, the first transformation field is stored with first transformation numbers D1 and D2...Dd, the second transformation field is correspondingly stored with second transformation numbers E1 and E2..Ed, the data table is remarked into a transformation comparison table of the mapping area, the first transformation numbers D1 and D2...Dd stored in the first transformation field in the transformation comparison table of the mapping area are corresponding to the second transformation numbers E1 and E2..Ed stored in the second transformation field, namely the first transformation numbers D1 and the second transformation numbers E1, D2 and E2..Dd and Ed are corresponding, and the transformation comparison table of the mapping area is stored in a hard disk of the unmanned aerial vehicle;
S13: the transformation reduction times I1 of the mapping area are calculated and acquired according to a preset calculation rule, and the transformation reduction times I1 are specifically as follows:
S131: obtaining a plurality of loop chains according to the corresponding relation between the first conversion number and the second conversion number in the mapping area conversion comparison table, marking the number of the obtained loop chains as P2, wherein one loop chain at least comprises a first conversion number and a second conversion number, and the corresponding relation between the first conversion number and the second conversion number in one loop chain is cyclic;
For example, assuming that the mapping area transformation look-up table has a first transformation number 3 corresponding to a second transformation number 7, the first transformation number 7 corresponding to a second transformation number 9, and the first transformation number 9 corresponding to the second transformation number 3, the mapping area transformation look-up table is cyclic, and a loop chain is obtained, and the length of the loop chain is 3, where the length of the loop chain is the number of the first transformation number and the second transformation number included in the loop chain;
S132: respectively obtaining the lattice loop chain lengths of P1 loop chains, solving the least common multiple of the lattice loop chain lengths, calibrating the lattice loop chain lengths as the transformation reduction times of the mapping area, and marking the transformation reduction times as I1;
S14: cutting according to a preset cutting rule to obtain all to-be-drawn transformation data blocks H1 and H2..Hh, wherein h=1 and 2..1+G1 of the mapping area, and the specific steps are as follows:
S141: using the formula Calculating the number G1 of to-be-converted parts of the to-be-drawn conversion data of the mapping area, wherein floor () is a downward rounding function;
S142: equally cutting the to-be-measured drawing transformation data of the mapping area into 1+G1 parts of to-be-measured drawing transformation data blocks, wherein for the former G1 parts of to-be-measured drawing transformation data blocks, the number of characters forming each part of to-be-measured drawing transformation data blocks is C1, for the last part of to-be-measured drawing transformation data blocks, the number of characters forming the last part of to-be-measured drawing transformation data blocks is G, the value of G is determined by B1, if B1 can be divided by C1, the value of G is 0, namely the characters forming the 1+G1 parts of to-be-measured drawing transformation data blocks are 0, otherwise, the value of G is B1-G1×C1, namely the characters forming the 1+G1 parts of to-be-measured drawing transformation data blocks are B1-G1×C1;
According to the position in the mapping region to be mapped transformation data before cutting, all to-be mapped transformation data blocks are marked as H1, H2..Hh, h=1, 2..1+G1 in sequence from left to right;
S15: the position of the to-be-mapped transformation data block H1 of the mapping area is replaced according to a preset replacement rule to obtain a mapped transformation data block J1, and the specific steps are as follows:
S151: according to the mapping region, comparing the first conversion number D1 and the corresponding second conversion number E1 stored in the conversion table, and according to the sequence from left to right, the D1-bit character and the E1-bit character in the to-be-drawn conversion data block H1 are exchanged, in other words, the D1-bit character in the to-be-drawn conversion data block H1 is placed in the E1-bit, and the E1-bit character is placed in the D1-bit;
S152: according to S151, according to the first transformation number D1 and the second transformation numbers E1, D2, and E2..dd and Ed, the D1 st bit character and the E1 st bit character, the D2 nd bit character and the E2 nd bit character in the transformed data block H1 to be mapped are swapped in the order from left to right;
s153: performing second position transformation on the to-be-drawn transformation data block H1 which has completed the first position transformation according to S151 to S152;
s154: sequentially carrying out first and second position transformation on the mapping transformation data block H1 according to S151 to S153 to obtain a mapping transformation data block, wherein the mapping transformation data block is marked as J1;
S16, performing S16; sequentially carrying out position transformation on the to-be-mapped transformation data blocks H1 and H2..Hh-1 of the mapping region according to S15 to obtain mapping transformation data blocks J1 and J2...Jh-1;
S17: according to the sequence of the mapping transformation data blocks J1, J2.. Jh-1 and the drawing transformation data block Hh to be tested, splicing the mapping transformation data blocks J1, J2.. Jh-1 and the drawing transformation data block Hh to be tested to generate mapping transformation data of the mapping region;
s18: generating a mapping comparison table and mapping transformation data of each mapping region according to S11 to S17, and transmitting the mapping comparison table and mapping transformation data and the corresponding region numbers to a cloud management center;
the cloud management center is used for restoring and analyzing the mapping transformation data of each mapping area, and comprises a mapping data restoring unit and a mapping data analyzing unit;
the mapping data restoring unit temporarily stores the received mapping transformation data of each mapping area, generates a deleting instruction and deletes the mapping transformation data of the corresponding mapping area stored in the unmanned aerial vehicle;
When the unmanned aerial vehicle finishes the flight of the optimal flight mapping path, after returning to the hands of mapping personnel, taking out the mapping personnel from the hard disk of the unmanned aerial vehicle, reading a transformation comparison table of all mapping areas of the target scene stored in the hard disk of the unmanned aerial vehicle, and inputting the transformation comparison table into a data reduction unit;
the data reduction unit reduces the mapping transformation data of all the mapping areas temporarily stored in the data reduction unit according to a preset reduction rule according to a received transformation comparison table of all the mapping areas in the target scene to generate mapping reduction data of all the mapping areas in the target scene, and the data reduction unit specifically comprises the following steps:
S21: obtaining a transformation comparison table of a mapping area, and obtaining transformation reduction times of the mapping area according to the transformation comparison table, wherein the transformation reduction times are marked as K1;
s22: calculating and obtaining the reduction times L1 of the mapping region by using a formula L1=K1-beta 1 multiplied by K1/2;
S23: performing L1-time position transformation on the transformation data of the region to be painted according to the steps from S151 to S153 to obtain mapping restoration data of the mapping data, and transmitting the mapping restoration data to a data analysis unit for permanent storage;
S24: calculating and acquiring mapping restoration data of all mapping areas in the target scene according to S21 to S23, and transmitting the mapping restoration data to a mapping data analysis unit;
The mapping data analysis unit is used for receiving mapping restoration data of all mapping areas in a target scene and inputting the mapping restoration data into the mapping data quality analysis model for processing, cleaning and finishing so as to eliminate noise;
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. A data management system based on unmanned aerial vehicle mapping, comprising:
The system comprises a mapping module, a mapping module and a control module, wherein the mapping module is used for mapping all mapping areas of a target scene by using an unmanned aerial vehicle, the mapping module comprises a mapping unit and a data transformation unit, the mapping personnel divides the target scene into P1 mapping areas according to geographic features in the target scene, P1 is a preset threshold, and one mapping area corresponds to one area number;
The mapping unit comprises an unmanned aerial vehicle, generates a plurality of flight mapping paths based on a target scene according to the features of terrains, landforms and obstacles in each mapping area in the target scene, selects one flight mapping path with the shortest flight duration from the flight mapping paths as the optimal flight mapping path of the target scene, inputs the flight mapping paths into the unmanned aerial vehicle, and carries out flight according to the optimal flight mapping path of the target scene and acquires mapping data in each mapping area in the flight process;
When the unmanned aerial vehicle finishes collecting the mapping data of one mapping area, the mapping unit transmits the mapping data of the mapping area to the data conversion unit, and the data conversion unit converts the received mapping data of each mapping area according to a preset conversion rule to generate a conversion comparison table and mapping conversion data of each mapping area;
The data transformation unit stores a transformation comparison table of each mapping area in the unmanned aerial vehicle hard disk, and transmits mapping transformation data of each mapping area to the cloud management center;
The cloud management center is used for restoring and analyzing the received mapping transformation data of each mapping area, and comprises a mapping data restoring unit which temporarily stores the received mapping transformation data of each mapping area, generates a deleting instruction and deletes the mapping transformation data of the corresponding mapping area stored in the unmanned aerial vehicle;
after the unmanned aerial vehicle finishes flying and returns to the hands of the surveying staff, the surveying staff takes out the unmanned aerial vehicle hard disk to read the transformation comparison tables of all the surveying areas of the target scene stored in the unmanned aerial vehicle hard disk, inputs the transformation comparison tables into the surveying data reduction unit, and the surveying data reduction unit reduces the surveying transformation data of all the surveying areas temporarily stored in the unmanned aerial vehicle according to the received transformation comparison tables of all the surveying areas in the target scene and a preset reduction rule to generate surveying reduction data of all the surveying areas in the target scene;
The data transformation unit transforms the transformation comparison table and the specific transformation rules of the mapping transformation data for generating each mapping region as follows:
S11: converting the received mapping data of one mapping region into binary data and recalibrating the binary data into to-be-mapped transformation data of the mapping region, and respectively obtaining the data capacity A1 of the to-be-mapped transformation data of the mapping region and the total amount B1 of characters forming the to-be-mapped transformation data of the mapping region;
S12: the mapping area transformation comparison table is generated according to a preset generation rule, and the mapping area transformation comparison table is specifically as follows:
S121: using the formula Respectively calculating and acquiring a position transformation critical quantity C1 and a position transformation selected quantity C2 of the mapping area, wherein alpha 1 and alpha 2 are respectively preset adjusting coefficients;
S122: continuously and repeatedly using a random function, randomly selecting C2 times between the number 1 and the position conversion critical quantity C1 to obtain C2 numbers, marking the obtained numbers as D1, D2, dd, d=1, 2, D and C2 in sequence from the beginning to the end according to the sequence selected by the numbers, and recalibrating the numbers D1, D2, D and Dd as first conversion numbers;
S123: randomly selecting a first conversion number from the first conversion numbers D1, D2, D, wherein the selected first conversion number is different from the first conversion number D1, the selected first conversion number is used as the corresponding number of the first conversion number D1, and the selected first conversion number is used as the second conversion number of the first conversion number D1 and is marked as E1;
S124: according to S123, sequentially calculating and obtaining second conversion numbers E1, E2, and Ed of the first conversion numbers D1, D2, and D, where the second conversion numbers E1, E2, and D are corresponding numbers of the first conversion numbers D1, D2, and D, respectively;
S125: creating an empty data table, wherein the data table comprises two fields, namely a first transformation field and a second transformation field, the first transformation field is stored with first transformation numbers D1, D2, & gt and Dd, the second transformation field is correspondingly stored with second transformation numbers E1, E2, & gt and Ed, and the data table is recalibrated into a transformation comparison table of the mapping area;
S13: calculating and obtaining the transformation reduction times I1 of the mapping area according to a preset calculation rule;
S14: cutting and obtaining all to-be-mapped transformation data blocks H1, H2, hh, h=1, 2, G1 and 1+G1 of the mapping area according to a preset cutting rule, wherein G1 is the number of to-be-transformed parts of the to-be-mapped transformation data of the mapping area;
s15: performing position replacement on the to-be-mapped transformation data block H1 of the mapping region according to a preset replacement rule to obtain a mapped transformation data block J1;
S16: sequentially carrying out position transformation on the to-be-mapped transformation data blocks H1, H2, hh-1 of the mapping region according to S15 to obtain mapping transformation data blocks J1, J2, jh-1;
S17: according to the sequence of the mapping transformation data blocks J1, J2, the first, second and third, jh-1 and the to-be-drawn transformation data block Hh, splicing the mapping transformation data blocks J1, J2, the first, second, third, fourth, fifth and sixth, and the to-be-drawn transformation data block Hh to generate mapping transformation data of the mapping region;
S18: a transformation look-up table and mapping transformation data for each mapping region are generated in accordance with S11 to S17.
2. The unmanned aerial vehicle mapping-based data management system of claim 1, wherein the target scene is determined by a mapping staff depending on the requirements and purposes of a mapping project, and the area number of the mapping area is a character string composed of 8-bit random numbers.
3. The unmanned aerial vehicle mapping-based data management system of claim 1, wherein the mapping data for one of the mapping regions comprises surface high resolution image data, surface gray scale information data, surface temperature distribution data, and three-dimensional point cloud data for the mapping region.
4. The unmanned aerial vehicle mapping-based data management system according to claim 1, wherein the specific calculation rule for S13 calculating the number of transformation and restoration times I1 of the mapping region is as follows:
S131: obtaining a plurality of loop chains according to the corresponding relation between the first conversion number and the second conversion number in the mapping area conversion comparison table, marking the number of the obtained loop chains as P2, wherein one loop chain at least comprises a first conversion number and a second conversion number, and the corresponding relation between the first conversion number and the second conversion number in one loop chain is cyclic;
s132: and respectively obtaining the lattice loop chain lengths of the P1 loop chains, solving the least common multiple of the lattice loop chain lengths, calibrating the lattice loop chain lengths as the transformation reduction times of the mapping region, and marking the transformation reduction times as I1.
5. The unmanned aerial vehicle mapping-based data management system according to claim 1, wherein the specific cutting rule for cutting and acquiring all the to-be-mapped transformation data blocks H1, H2 of the mapping region at S14 is as follows:
S141: using the formula Calculating the number G1 of to-be-converted parts of the to-be-drawn conversion data of the mapping area, wherein floor () is a downward rounding function;
S142: equally cutting the to-be-mapped transformation data of the mapping area into 1+G1 parts of to-be-mapped transformation data blocks, wherein for the to-be-mapped transformation data blocks of the previous G1 parts, the number of characters forming each to-be-mapped transformation data block is C1, for the to-be-mapped transformation data block of the last part, the number of characters forming the to-be-mapped transformation data block is G, the value of G is determined by B1, when B1 is divided by C1, the value of G is 0, namely the characters forming the 1+G1 parts to-be-mapped transformation data block are 0, otherwise, the value of G is B1-G1×C1, namely the characters forming the 1+G1 parts to-be-mapped transformation data block are B1-G1×C1;
And marking all the to-be-mapped transformation data blocks into H1, H2, H=1, 2, H=1+G1 from left to right according to the positions in the to-be-mapped transformation data of the mapping area before cutting.
6. The unmanned aerial vehicle mapping-based data management system according to claim 1, wherein the specific replacement rule for replacing the obtained mapping transformation data block J1 at S15 is as follows:
S151: according to the mapping region, comparing the first conversion number D1 and the corresponding second conversion number E1 stored in the conversion table, and according to the sequence from left to right, exchanging the D1 bit character and the E1 bit character in the to-be-mapped conversion data block H1;
S152: according to S151, according to the first transformation number D1 and the second transformation numbers E1, D2 and E2, the first, second, third, and fourth, D and Ed, the D1 st and E1 st characters, the D2 nd and E2 nd characters, and the third, fourth, and fourth characters in the transformation data block H1 to be mapped are swapped in the order from left to right, and after the swapping is completed, the transformation data block H1 to be mapped is determined to be the first position transformation;
s153: performing second position transformation on the to-be-drawn transformation data block H1 which has completed the first position transformation according to S151 to S152;
S154: and carrying out first and second position transformations on the mapping transformation data block H1 to be mapped according to S151 to S153, wherein the mapping transformation data block is obtained by carrying out position transformations on the mapping transformation data block for the time of beta 1 multiplied by I1/2, the mapping transformation data block is marked as J1, and the beta 1 is a preset coefficient.
7. The unmanned aerial vehicle mapping-based data management system of claim 6, wherein the specific restoration rule for restoring the mapping restoration data of all the mapping areas in the generated target scene by the mapping data restoration unit is as follows:
s21: obtaining a transformation comparison table of a mapping area in a target scene, and obtaining transformation reduction times I1 of the mapping area according to the transformation comparison table;
s22: calculating and obtaining the reduction times L1 of the mapping area by using a formula L1=I1-beta 1×I1/2;
s23: carrying out L1 time position transformation on mapping transformation data of a to-be-mapped region according to S151 to S153, and recalibrating the transformed data into mapping restoration data of the mapping region;
S24: and sequentially calculating and acquiring mapping restoration data of all mapping areas in the target scene according to S21 to S23.
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