CN112507979A - Building information identification system and method based on block chain and double-light fusion - Google Patents
Building information identification system and method based on block chain and double-light fusion Download PDFInfo
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Abstract
The building information identification system and method based on block chain and dual-light fusion are applied to an unmanned aerial vehicle and a building right confirming terminal remotely connected with the unmanned aerial vehicle, and the building right confirming terminal stores right confirming information into a block chain network; the block chain network comprises a first branch, a second branch and a third branch, and data communication functions are arranged among different branches; the system also comprises a block chain information query inlet and a block chain information query outlet; the block chain information inquiry inlet is connected with the first branch, and the block chain information inquiry outlet is respectively connected with the first branch, the second branch and the third branch. The invention stores the information of the residential building in the form of the block chain, ensures that the data is credible, and ensures that the residential building authorization data stored in the block chain cannot be falsified and is convenient to trace.
Description
Technical Field
The invention relates to the technical field of storing residential building images fused by infrared light and visible light by using a block chain technology, in particular to a building information identification system and method based on block chain and double-light fusion.
Background
In the integral right-confirming registration work of rural houses and lands, the most time-consuming technical link is basic data acquisition. The conventional measurement means mainly adopts a data acquisition mode combining GNSS-RTK and a total station, and the mode has high precision and less omission, but needs a large amount of outdoor measurement operation, has heavy work task, long period and high cost, and has no advantages in regions with scattered villages.
Therefore, the problems of the prior art are to be further improved and developed.
Disclosure of Invention
The object of the invention is: in order to solve the problems in the prior art, the present invention aims to provide a building information identification system and method based on block chain and dual-light fusion, which can perform precise three-dimensional modeling on rural buildings, store data of block chain technology for the authority of the rural buildings, make the authority-determining data of the building data not be repentable and modifiable at will, and increase the public confidence of the rural building data.
The technical scheme is as follows: in order to solve the technical problems, the technical scheme provides a building information identification method based on block chain and dual-light fusion, wherein the building information identification method is applied to an unmanned aerial vehicle and a building right confirming terminal remotely connected with the unmanned aerial vehicle, and the building right confirming terminal stores right confirming information into a block chain network;
inputting account information at a block chain information query entrance for querying rural residential building right confirming information matched with the account information, wherein different accounts correspond to different authorities and different authorities correspond to different branches; different branches have data communication function;
when the account information has the data query authority of the first branch, the query information of the block chain information query inlet is sent to the first branch, and the first branch sends the returned query information to the block chain information query outlet for display;
when the account information has the data query authority of the second branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, and the second branch combines the returned query information and the query information returned by the first branch and then sends the combined query information and the combined query information to the block chain information query exit for display;
when the account information has the data query authority of the third branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, the second branch combines the returned query information and the query information returned by the first branch and then sends the combined query information to the third branch, and triggers an information query request of the third branch, and the third branch combines the returned query information and the combined query information sent by the second branch again and sends the combined query information to the block chain information query exit for display.
The building information identification method based on the block chain and double-light fusion is characterized in that identity information of building owners and anchor point element information of corresponding residential buildings are stored in a first branch and serve as first evidence storage information I of the block chain of the first branch; the identity information of the building owner and the image which is acquired in real time and provided with the anchor point element are stored in the second branch and used as first evidence storage information II of the block chain of the second branch; and the identity information of the building owner and the three-dimensional stereogram with the anchor point element corresponding to the residential building are stored in the third branch and used as the first evidence storing information III of the block chain of the third branch.
The building information identification method based on the block chain and the double-light fusion is characterized in that the building right confirming terminal comprises a modeling terminal and a right confirming operation terminal;
the unmanned aerial vehicle comprises a shooting device, wherein the shooting device comprises a forward shooting unit and four inclined shooting units around the forward shooting unit; the positive shooting unit and the inclined shooting unit respectively comprise an infrared shooting subunit and a visible light shooting subunit;
the modeling terminal is provided with a first time axis and a second time axis and controls the unmanned aerial vehicle to acquire data of rural buildings at different time periods;
the collecting the stored rural residence data in the time period of the first time axis comprises: an infrared shooting subunit of the unmanned aerial vehicle acquires data of infrared images of rural residences to obtain building contour data, three-dimensional vertex three-dimensional data of the rural residences and four anchor point elements of the rural residences;
the collecting and storing rural residence data in the time period corresponding to the second time axis and the first time axis comprises: the method comprises the steps that a texture map of a rural residence is shot by a visible light shooting subunit of an unmanned aerial vehicle, and courtyard spectrum data in a rectangle formed by four anchor point elements;
and fusing the texture mapping of the time period of the second time axis with the three-dimensional vertex stereogram of the time period corresponding to the first time axis to obtain the real three-dimensional stereogram of the rural house.
The building information identification method based on the block chain and the double-light fusion is characterized in that,
the unmanned aerial vehicle sends the acquired infrared image to a modeling terminal, and the modeling control unit extracts the building outline by using the infrared image;
the modeling terminal stores a house three-dimensional vertex model of the rural building;
a modeling control unit of the modeling terminal selects a corresponding three-dimensional vertex model from the three-dimensional vertex models by using a deep learning algorithm according to the building contour extracted from the infrared image;
and the real-time modeling unit of the modeling terminal improves the three-dimensional vertex model according to the building outline to obtain a three-dimensional vertex stereogram of the building outline corresponding to the infrared image.
The building information identification method based on the block chain and the double-light fusion is characterized in that,
for rural houses with enclosing walls, the modeling control unit respectively sets four anchor point elements on four vertexes of the outer edge of the rural house, or sets four anchor point elements on four vertexes of the outer edge of the rural house plus the extension distance.
The building information identification method based on the block chain and the double-light fusion is characterized in that,
for rural residences without a fence, the modeling control unit sets the four anchor point elements as follows: two anchor point elements are determined according to the existing rural buildings; the other two anchor points are determined by reconstructing a rectangle according to the sum of the areas of 200 square meters and the extended area.
The building information identification method based on the block chain and the double-light fusion is characterized in that the modeling terminal sends the geographic position of the anchor point element determined in real time to the unmanned aerial vehicle; after the infrared shooting subunit of the unmanned aerial vehicle obtains the positions of the anchor point elements, the image acquisition resolution within the position of the rectangle formed by the four anchor point elements is higher than the image acquisition resolution outside the rectangle formed by the four anchor point elements.
According to the building information identification method based on the block chain and the double-light fusion, on a second time axis, the unmanned aerial vehicle collects visible light images of overlooking, front dimension, rear dimension, left dimension and right dimension of corresponding rural residences according to received positioning data of the rural residences and corresponding anchor point elements; the resolution of the acquisition of the visible light image within the position of the rectangle made up of the four anchor elements is higher than the resolution of the acquisition of the visible light image outside the rectangle made up of the four anchor elements.
The building information identification system based on the block chain and the double-light fusion is applied to an unmanned aerial vehicle and a building right confirming terminal remotely connected with the unmanned aerial vehicle, and the building right confirming terminal stores right confirming information into a block chain network;
the block chain network comprises a first branch, a second branch and a third branch, and data communication functions are arranged among different branches; the system also comprises a block chain information query inlet and a block chain information query outlet;
the block chain information inquiry inlet is connected with the first branch, and the block chain information inquiry outlet is respectively connected with the first branch, the second branch and the third branch.
(III) the beneficial effects are as follows: the building information identification system and method based on the block chain and the double-light fusion store the information of the residential building in the form of the block chain, ensure that the data is credible, and ensure that the residential building weight data stored in the block chain cannot be falsified and is convenient to trace. The block chain network of the invention constructs different branches for data storage according to the range authority and frequency of the data, thus greatly reducing the pressure of block chain data access processing, and the direct data transmission of the different branches of the block chain network is realized by triggering and merging, thus reducing the processing pressure of a central processing unit, dispersing the pressure of data processing in the different branches of the block chain network, and realizing the stability of the block chain network for determining the authority of the residential building.
Drawings
FIG. 1 is a functional structure diagram of a dual light fusion system of visible light and infrared light according to the present invention;
FIG. 2 is a functional structure diagram of the unmanned aerial vehicle and the modeling terminal of the invention;
FIG. 3 is a schematic diagram of the process steps for image fusion with visible light and infrared light according to the present invention;
FIG. 4 is a block chain data storage and retrieval architecture of the present invention;
fig. 5 is a flowchart of a method for querying building information in a blockchain according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to preferred embodiments, and more details are set forth in the following description in order to provide a thorough understanding of the present invention, but it is apparent that the present invention can be embodied in many other forms different from the description herein and can be similarly generalized and deduced by those skilled in the art based on the practical application without departing from the spirit of the present invention, and therefore, the scope of the present invention should not be limited by the contents of this detailed embodiment.
The drawings are schematic representations of embodiments of the invention, and it is noted that the drawings are intended only as examples and are not drawn to scale and should not be construed as limiting the true scope of the invention.
The utility model provides a system of fusing of visible light and infrared light, as shown in figure 1, be applied to unmanned aerial vehicle, with unmanned aerial vehicle remote connection's building affirms the right terminal, the building affirms the right terminal and includes that the terminal of modelling and affirming the right operation terminal. The unmanned aerial vehicle comprises a distance measuring device, a positioning device, a shooting device, an image processing device and a control device; the modeling terminal comprises a house vertex model, a real-time modeling unit and a modeling control unit.
The unmanned aerial vehicle is used for shooting rural buildings needing to be authenticated, and the shooting device of the unmanned aerial vehicle comprises a positive shooting unit and four inclined shooting units around the positive shooting unit; the positive shooting unit and the inclined shooting unit respectively comprise an infrared shooting subunit and a visible light shooting subunit. The rural building is mainly a single-storey house and comprises a part of small building with 2-3 floors. The infrared shooting and shooting subunit is used for acquiring a line profile map of the rural residence; the visible light shooting subunit is used for obtaining the overlook of the rural residence and visible light images with four dimensions, namely front, back, left and right, as texture maps of the three-dimensional vertex stereogram.
The distance measuring device preferably comprises a laser distance measuring subunit and an imaging spectrum subunit.
According to the invention, the positions of the building and the courtyard can be determined according to the continuity of the ground height by measuring the ground distance through the laser ranging subunit, so that the anchor point element is determined and used for positioning the boundary of the house.
The invention can also determine the anchor point element by the acquired infrared image and by analyzing the continuity of the building outline corresponding to the infrared image.
The visible light and infrared light double-light fusion system can realize real-time modeling of rural residences.
The modeling terminal of the dual-light fusion system is provided with a first time axis and a second time axis, wherein the time periods correspond to the mutual matching of the acquired data. Preferably, a map of the area to be modeled may be obtained by the modeling control unit, the map comprising positioning locations, preferably GPS positioning data.
The double-light fusion of visible light and infrared light of the invention generally comprises the following steps, as shown in fig. 2:
the modeling terminal is provided with a first time axis and a second time axis and controls the unmanned aerial vehicle to acquire data of rural buildings at different time periods;
the collecting the stored rural residence data in the time period of the first time axis comprises: an infrared shooting subunit of the unmanned aerial vehicle acquires data of infrared images of rural residences to obtain building contour data, three-dimensional vertex three-dimensional data of the rural residences and four anchor point elements of the rural residences;
the step of acquiring and storing the rural residence data in the time period corresponding to the second time axis and the first time axis comprises the following steps: the method comprises the steps that a texture map of a rural residence is shot by a visible light shooting subunit of an unmanned aerial vehicle, and courtyard spectrum data in a rectangle formed by four anchor point elements;
and fusing the texture mapping of the time period of the second time axis with the three-dimensional vertex stereogram of the time period corresponding to the first time axis to obtain the real three-dimensional stereogram of the rural house.
The first time axis corresponds to the image record shot by the unmanned aerial vehicle infrared shooting subunit at the first time. The modeling control unit of the modeling terminal can be set to perform infrared shooting on a selected area in a map by the unmanned aerial vehicle by using the infrared shooting subunit at the first time, and obtain a line profile of rural residences in the selected area according to a shot infrared image. The infrared shooting subunit triggers the distance measuring device of the unmanned aerial vehicle to start when starting shooting.
The modeling control unit of the modeling terminal acquires a map, and sets a first shooting route of the unmanned aerial vehicle according to the performance of the unmanned aerial vehicle, wherein the first shooting route is a block diagram of a street line in the acquired map and marks the blocks divided by the block diagram. The unmanned aerial vehicle shoots a first shooting route, namely the route during blind shooting, in a block partitioned by a block diagram of a street line of a map.
In order to model the rural home base, based on the characteristic that the rural house is not a high-rise building, the flying height of the unmanned aerial vehicle and the distance from the unmanned aerial vehicle to the building need to be fully considered in order to save the performance of the unmanned aerial vehicle during shooting, so that unnecessary shooting pictures can be reduced when the image shot by the unmanned aerial vehicle is a sufficient modeling picture, and the performance of the unmanned aerial vehicle and the modeling efficiency are improved.
When the unmanned aerial vehicle shoots for the first time, the infrared shooting subunit triggers the laser ranging subunit to start. In a first preferred embodiment, when the infrared shooting subunit works, the infrared shooting subunit sends a first trigger signal for starting the laser ranging subunit to the control device, the control device sends the first trigger signal to the laser ranging subunit of the ranging device, and the laser ranging subunit starts according to the received first trigger signal. In a second preferred embodiment, when the infrared shooting subunit works, the infrared shooting subunit sends a first trigger signal for starting the laser ranging subunit to the ranging device, and the laser ranging subunit is started according to the received first trigger signal. In a third preferred embodiment, the control device may also send a control instruction for starting the operation to the infrared shooting subunit at the same time, and the laser ranging subunit of the ranging device sends a first trigger signal for starting the operation, and the laser ranging subunit is started according to the received first trigger signal.
The laser ranging subunit can transmit laser radar scanning signals, and judge the height of the ground and the height of a building by collecting the laser radar scanning signals returned by transmission; and adjusting the flying height of the unmanned aerial vehicle in real time according to the height of the ground and the height of the building.
The unmanned aerial vehicle comprises a forward shooting unit, a top view of a building needs to be acquired, and the flying height of the forward shooting unit is the sum of the height of the building and a top view acquisition distance threshold. According to the real-time height data obtained by the laser ranging subunit, the shooting height of the unmanned aerial vehicle is adjusted in real time, so that the shooting requirement of the top view of the rural building is met. The method is a technical improvement according to the actual situation that the height fluctuation between rural buildings, courtyards and streets has large difference, and the accurate measurement of the terrain height can accurately evaluate the modeling and the actual area measurement of the rural buildings.
The unmanned aerial vehicle utilizes the infrared shooting subunit to obtain the infrared image of rural residence, can locally carry out the building outline extraction of infrared image at the unmanned aerial vehicle, also can be for practicing thrift the performance of unmanned aerial vehicle, sends the infrared image that obtains to the terminal of modelling, the control unit that models the terminal utilizes infrared image to carry out the extraction of building outline. The modeling terminal stores house three-dimensional vertex models of rural buildings, including three-dimensional vertex models of buildings such as a house, a bedroom, a kitchen, a miscellaneous house, a toilet, a livestock shed and the like. The modeling control unit selects a corresponding three-dimensional vertex model from the three-dimensional vertex models by utilizing a depth learning algorithm according to the building contour extracted from the infrared image; and the real-time modeling unit improves the three-dimensional vertex model according to the building outline to obtain a three-dimensional vertex stereogram of the building outline corresponding to the infrared image.
The double-light fusion system of the invention adopts a transmission method of streaming data to carry out three-dimensional modeling of rural residences and provides a data base for the certainty of the rural home base.
Rural homesteads have a common characteristic that all the rural homesteads have courtyards, and the area of the building plus the courtyards is the area of the rural homesteads. The invention carries out preliminary positioning on the courtyard through anchor point elements of the distance measuring subunit so as to give a high-precision picture value of the courtyard exploration.
The positive shooting unit sends the shot infrared image to the modeling terminal, the modeling control unit analyzes the top view of the infrared image obtained by the positive shooting unit in real time, and sets four boundary points, namely anchor point elements, for the rural residence on the top view according to buildings in the top view and the enclosing wall intervals among the buildings and rectangles with specified areas.
Preferably, the determination of the anchor point element of the present invention is based on a wire frame diagram of a top view of the infrared image.
The unmanned aerial vehicle can integrally shoot a map area in a overlook mode, and then shoot front, back, left and right infrared images of corresponding rural residences after anchor point elements are determined, so that efficiency can be improved, the resolution ratio used for shooting is determined according to the anchor point elements, high-quality pictures can be obtained, and the performance of the unmanned aerial vehicle can be saved.
For rural houses with enclosing walls, the modeling control unit respectively sets four anchor point elements on four vertexes of the outer edge of the rural house (including the area of the rural house plus a courtyard), or sets four anchor point elements on four vertexes of the outer edge of the rural house plus an extension distance. The extended distance can be a redundant distance range, and is not limited, so that various possible problems of rural residences during right confirmation are fully considered, and sufficient data is provided for accurate right confirmation.
For an open rural house without a fence and only a building, the invention determines two vertexes by the outer edge of the building house, and determines four anchor point elements for the open rural house according to the maximum value of the area of the rural house as a limit. The statutory rural residence can not exceed 200 square meters, the invention can arrange the anchor point elements on a rectangle formed by the statutory 200 square meters plus the extension area, two anchor point elements of the rectangle are determined according to the existing building, and the other two anchor points are determined by reconstructing the rectangle according to the area of the statutory 200 square meters plus the extension area. Therefore, the diversity of rural residences can be fully considered, and a sufficient data base is provided for later right confirmation.
The modeling terminal sends the geographical location (including the GPS location) of the anchor element determined in real-time to the drone. After the infrared shooting subunit of the unmanned aerial vehicle obtains the position values of the anchor point elements, the image acquisition resolution within the position of the rectangle formed by the four anchor point elements is higher than the image acquisition resolution outside the rectangle formed by the four anchor point elements.
The image processing apparatus of the present invention is based on: the geographic positions of the four anchor point elements, including the GPS position given by the positioning device; the laser ranging subunit measures the height of the earth surface in real time; and controlling the inclination angles between the four inclined shooting units and the positive shooting unit in real time, so that the inclined shooting units can shoot the texture maps at four angles of the front, the rear, the left and the right of the rural residence at the highest position.
The image processing device further controls the infrared shooting route of the unmanned aerial vehicle to be a rectangle formed by surrounding the four anchor point elements, so that the time period on the first time axis is ensured to be in one-to-one correspondence with the rural residences formed by the corresponding four anchor point elements.
The method adopts the first time axis and the second time axis to acquire images of the rural house twice, and performs image fusion after the second time axis is acquired to obtain the final three-dimensional vertex stereogram of the rural house.
According to the invention, the first time axis is used for acquiring the data of the contour of the rural house by using the infrared shooting subunit of the unmanned aerial vehicle, so that the first time axis can be in dark time such as morning or evening, the unmanned aerial vehicle is prevented from being disturbed to obtain the contour of the rural house, and a three-dimensional vertex stereogram of the rural house is completed; and then acquiring four anchor point elements of the rural residence through image analysis of the top view, wherein the geographic positions (including the GPS positions) of the anchor point elements correspond to the designated rural residence.
The infrared image of the rural house and the three-dimensional vertex stereo data of the rural house correspond to time periods on a first time axis, namely different time periods of the first time axis correspond to different rural house data. And acquiring all data or part of data on the first time axis, wherein part of data comprises a plurality of complete rural residence data. And when the second time axis meets the light condition acquired by the texture mapping, the modeling terminal starts the visible light image acquisition of the second time axis according to the GPS data corresponding to the time period on the first time axis, namely the data of rural residences acquired on the first time axis.
And the modeling terminal takes the GPS data of different time periods and the corresponding four anchor point elements as a group of data according to the sequence on the first time axis and sequentially sends the group of data to the unmanned aerial vehicle. Unmanned aerial vehicle and the unmanned aerial vehicle that infrared image shot can be same unmanned aerial vehicle, also can be different unmanned aerial vehicles, do not do the restriction here.
The unmanned aerial vehicle carries out overlooking and acquisition of visible light images of four dimensions of front, back, left and right on the corresponding rural residence according to the received positioning data of the rural residence, including GPS data and corresponding anchor point elements. According to the determination of the four anchor point elements, the acquisition resolution of the visible light image within the position of the rectangle formed by the four anchor point elements is higher than the acquisition resolution of the visible light image outside the rectangle formed by the four anchor point elements. And when the position of the unmanned aerial vehicle and the image of the visible light shooting subunit are within a rectangle formed by the four anchor point elements, triggering the starting of the imaging spectrum subunit. The imaging spectrum subunit utilizes laser remote sensing data to acquire the surface height, namely the accurate data of flatness, within the range of a rectangle formed by the four anchor point elements, and sends the acquired surface height data to a modeling terminal to correct the three-dimensional vertex stereogram.
According to the invention, data storage is carried out on the second time axis and the time period corresponding to the first time axis, namely, the first time period of the second time axis and the first time period of the first time axis are data collected in the same rural residence. The infrared light and the visible light images are fused according to the time axis, so that the troubles of image classification and matching are eliminated, the operation is easier, the accuracy is higher, and the data processing efficiency is higher.
The second time axis collects texture maps of rural residences using the visible light camera sub-unit of the unmanned aerial vehicle and accurate courtyard spectral height data within a rectangle formed by the four anchor point elements. And the data acquisition map of the second time axis takes the rural houses and the four anchor point elements determined by the first time axis as the standard, and sequentially acquires the images of the visible light according to the acquisition sequence of the first time axis to different rural houses.
According to the method, the vertex data of the three-dimensional stereogram are corrected according to the courtyard spectral data (namely courtyard height data) in sequence according to the time periods corresponding to the first time axis and the second time axis, and then the second time texture mapping is fused with the three-dimensional vertex stereogram of the first time axis to obtain the real three-dimensional stereogram of the rural house.
The modeling terminal carries out construction of a three-dimensional vertex stereogram through a line graph of the rural residence acquired in the time period of the first time axis, and then acquires the visible light images of the second time axis corresponding to the time period of the first time axis one by one, wherein the second time of the visible light images acquired by the second time axis is different from the first time of the infrared images acquired by the first time axis in whole or in part, and the brightness of the second time needs to meet a threshold value so as to acquire the visible images with better visual effect.
According to the invention, the second shooting route of the visible light image is acquired by the second time axis, and the second shooting route is determined for the rural residence sequence corresponding to the time period of the first time axis, namely the rural residence sequence stored at the first time. The method obtains the three-dimensional stereogram of the rural house with the anchor point elements, the three-dimensional stereogram of the rural house has four anchor points, and an accurate data basis is provided for determining the right of the rural house. The unmanned aerial vehicle avoids the problem of entering a home in the homestead measurement through non-contact measurement, simultaneously transfers most of work to three-dimensional modeling and anchor point element positioning, reduces about 90 percent of field work, and finally saves labor and time cost to the maximum extent.
The right confirming terminal is used for confirming the range of the home base according to the three-dimensional stereogram of the rural house. The method specifically comprises the following steps:
the invention screens the existing map to obtain the public information map, which comprises the information of public facilities such as government organs of villages and towns maps, schools, streets, markets, parks and the like, so that the false occupation of public information can be effectively avoided when the residential building is authorized, and the validity of the residential authorization is improved.
The invention fuses the public information map and the rural house three-dimensional stereogram according to the corresponding geographic position (including GPS position and the like) to obtain the effective rural house three-dimensional stereogram.
In the process of the homebase investigation, the local user and the adjacent users should point the boundary together according to the arrival at the site within the specified time of the notice, and the boundary line and the boundary point are confirmed together for both users, therefore, the authorization operation terminal of the invention displays the first residential building data needing authorization and a plurality of second residential building data around the first residential building data.
The first residential building data comprises a first rectangle formed by four anchor point elements and/or four anchor point elements corresponding to a first residential building on an effective rural residential three-dimensional stereogram;
the second residential building data comprises four anchor point elements and/or a second rectangle formed by the four anchor point elements corresponding to the second residential building on the effective rural residential three-dimensional stereo map. According to the invention, a plurality of second residential buildings are arranged around the first residential building, so that a plurality of second rectangles composed of anchor point elements are arranged around the first rectangle. The right-confirming operation terminal of the invention displays a first rectangle composed of anchor point elements and a plurality of second rectangles around the first rectangle, which represent the boundary lines between adjacent rural residences. The invention displays the rectangle representing the ground boundary on the effective rural residential three-dimensional stereogram at the right-confirming operation terminal, so that the right-confirming operation terminal does not need to be explored on the spot, but the related personnel can adjust the position of the anchor point element through negotiation at the building right-confirming terminal, namely all people of all residential buildings, and the rectangle where the residential buildings are located is adjusted through mutual negotiation, thereby realizing the final right-confirming. The right-determining operation terminal can also increase the number of anchor point elements according to the actual situation, and finally, a plurality of anchor point elements are connected with one another to form the actual shape of the residential building. After the owner of the residential building negotiates and determines the anchor point elements, the anchor point elements are signed or stamped on a rural homestead confirmation file, and the rural homestead confirmation file wraps the geographic positions of more than four anchor point elements determined by the owner of the residential building.
In addition, the building right confirming terminal can trigger the unmanned aerial vehicle to use the last confirmed anchor point element according to the anchor point element confirmed by the residential building, real-time image collection is carried out on the residential building in the anchor point element, namely the rural building courtyard when signing or stamping is carried out, the real-time collected image comprises the confirmed anchor point element and/or a wire frame formed by the anchor point element, and the collected real-time image is confirmed to the owner of the residential building. The real-time collected images comprise visible light pictures and/or videos, and the real-time collected images are added into the identification information of the building owner, such as fingerprints, irises and other identification information actively added by the building owner.
Preferably, in order to reduce disputes later, the image collected in real time may further include identification information of the owner of the residential building close to the owner of the residential building, that is, identification information of all the second residential buildings, where the image collected in real time includes a picture and/or a video of visible light, and the image collected in real time is added to the identification information of the owner of the residential building and the identification information of the owner of the residential building close to the owner of the residential building, such as identification information of fingerprints, irises, and the like.
According to the effective rural house three-dimensional stereogram or the rural house three-dimensional stereogram, after the building owner determines the anchor point element, the resolution of the building house three-dimensional stereogram can be actively updated, the resolution of the three-dimensional stereogram in the anchor point element connecting line is higher than the display resolution outside the anchor point element connecting line, and therefore the data storage pressure of a modeling terminal can be reduced.
The invention discloses a right confirming information of a building right confirming terminal to a rural homestead, which comprises the following steps: the identity information (including identity card information) of the building owner corresponds to: anchor element information for the residential building (including the geographic location of the anchor element, e.g., GPS location, etc.); a real-time acquired image with anchor point elements when the residential building owner is authorized; a three-dimensional perspective view with anchor point elements corresponding to the residential building, and the like.
And the building right confirming terminal stores the right confirming information into the block chain network. The invention reduces the searching pressure by using the weight data according to different branches of different storage block chain networks of types. Preferably, the blockchain network of the present invention includes a first branch, a second branch and a third branch, and different data of the blockchain network is stored in different blockchain network branches, for example: the identity information of the building owner and the anchor point element information of the corresponding residential building are stored in the first branch and used as first evidence storing information I of a block chain of the first branch; the identity information of the building owner and the image which is acquired in real time and provided with the anchor point element are stored in the second branch and used as first evidence storage information II of the block chain of the second branch; and the identity information of the building owner and the three-dimensional stereogram with the anchor point element corresponding to the residential building are stored in the third branch and used as the first evidence storing information III of the block chain of the third branch. Each branch includes different credential information, e.g., the first branch includes blockchain first credential information, the second branch includes blockchain second credential information, and the third branch includes blockchain third credential information, as shown in fig. 4. The invention sets different block chain network branches according to different storage amounts corresponding to data types, wherein the different block chain network branches comprise a first branch, a second branch and a third branch. The retrieval frequency for different blockchain network branches is also different. Preferably, the retrieval frequency of the first branch is greater than that of the second branch, and the retrieval frequency of the second branch is greater than that of the third branch; the data storage capacity of the first branch is less than that of the second branch, and the data storage capacity of the second branch is less than that of the third branch.
The blockchain network of the present invention includes a blockchain information query entry and a blockchain information query exit, where the blockchain information query entry is connected to a first branch with a first access frequency, the blockchain information query exit is connected to the first branch, a second branch and a third branch, respectively, the second branch has a lower access frequency than the first branch, and the third branch has a lower access frequency than the second branch, as shown in fig. 4.
The block chain information inquiry entry can input account information and is used for inquiring the rural residential building right confirming information matched with the account information, different accounts correspond to different authorities, and different authorities correspond to different branches.
The method has the advantages that different branches have a data communication function, if account information has the data query authority of a first branch, query information of a block chain information query inlet is sent to the first branch, and the first branch sends returned query information to a block chain information query outlet for displaying; if the account information has the data query authority of the second branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, and the second branch combines the returned query information and the query information returned by the first branch and then sends the combined query information and the combined query information to the block chain information query exit for display; if the account information has the data query authority of the third branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, the second branch merges the returned query information and the query information returned by the first branch and then sends the third branch and triggers an information query request of the third branch, and the third branch merges the returned query information and the merged query information sent by the second branch again and sends the merged query information to the block chain information query exit for display, as shown in fig. 5.
The building information identification system and method based on the block chain and the double-light fusion store the information of the residential building in the form of the block chain, ensure that the data is credible, and ensure that the residential building weight data stored in the block chain cannot be falsified and is convenient to trace. The block chain network of the invention constructs different branches for data storage according to the range authority and frequency of the data, thus greatly reducing the pressure of block chain data access processing, and the direct data transmission of the different branches of the block chain network is realized by triggering and merging, thus reducing the processing pressure of a central processing unit, dispersing the pressure of data processing in the different branches of the block chain network, and realizing the stability of the block chain network for determining the authority of the residential building.
The above description is provided for the purpose of illustrating the preferred embodiments of the present invention and will assist those skilled in the art in more fully understanding the technical solutions of the present invention. However, these examples are merely illustrative, and the embodiments of the present invention are not to be considered as being limited to the description of these examples. For those skilled in the art to which the invention pertains, several simple deductions and changes can be made without departing from the inventive concept, and all should be considered as falling within the protection scope of the invention.
Claims (9)
1. The building information identification method based on the block chain and the double-light fusion is characterized by being applied to an unmanned aerial vehicle and a building right confirming terminal remotely connected with the unmanned aerial vehicle, wherein the building right confirming terminal stores right confirming information into a block chain network;
inputting account information at a block chain information query entrance for querying rural residential building right confirming information matched with the account information, wherein different accounts correspond to different authorities and different authorities correspond to different branches; different branches have data communication function;
when the account information has the data query authority of the first branch, the query information of the block chain information query inlet is sent to the first branch, and the first branch sends the returned query information to the block chain information query outlet for display;
when the account information has the data query authority of the second branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, and the second branch combines the returned query information and the query information returned by the first branch and then sends the combined query information and the combined query information to the block chain information query exit for display;
when the account information has the data query authority of the third branch, the query information of the block chain information query entrance is sent to the first branch, the first branch sends the returned query information to the second branch and triggers an information query request of the second branch, the second branch combines the returned query information and the query information returned by the first branch and then sends the combined query information to the third branch, and triggers an information query request of the third branch, and the third branch combines the returned query information and the combined query information sent by the second branch again and sends the combined query information to the block chain information query exit for display.
2. The building information identification method based on block chain and dual optical fusion of claim 1, wherein the identity information of the building owner and the anchor point element information of the corresponding residential building are stored in the first branch as first block chain first certificate information one of the first branch; the identity information of the building owner and the image which is acquired in real time and provided with the anchor point element are stored in the second branch and used as first evidence storage information II of the block chain of the second branch; and the identity information of the building owner and the three-dimensional stereogram with the anchor point element corresponding to the residential building are stored in the third branch and used as the first evidence storing information III of the block chain of the third branch.
3. The building information identification method based on block chain and dual-light fusion of claim 1, wherein the building authorization terminal comprises a modeling terminal and an authorization operation terminal;
the unmanned aerial vehicle comprises a shooting device, wherein the shooting device comprises a forward shooting unit and four inclined shooting units around the forward shooting unit; the positive shooting unit and the inclined shooting unit respectively comprise an infrared shooting subunit and a visible light shooting subunit;
the modeling terminal is provided with a first time axis and a second time axis and controls the unmanned aerial vehicle to acquire data of rural buildings at different time periods;
the collecting the stored rural residence data in the time period of the first time axis comprises: an infrared shooting subunit of the unmanned aerial vehicle acquires data of infrared images of rural residences to obtain building contour data, three-dimensional vertex three-dimensional data of the rural residences and four anchor point elements of the rural residences;
the collecting and storing rural residence data in the time period corresponding to the second time axis and the first time axis comprises: the method comprises the steps that a texture map of a rural residence is shot by a visible light shooting subunit of an unmanned aerial vehicle, and courtyard spectrum data in a rectangle formed by four anchor point elements;
and fusing the texture mapping of the time period of the second time axis with the three-dimensional vertex stereogram of the time period corresponding to the first time axis to obtain the real three-dimensional stereogram of the rural house.
4. The building information identification method based on block chain and dual light fusion according to claim 3,
the unmanned aerial vehicle sends the acquired infrared image to a modeling terminal, and the modeling control unit extracts the building outline by using the infrared image;
the modeling terminal stores a house three-dimensional vertex model of the rural building;
a modeling control unit of the modeling terminal selects a corresponding three-dimensional vertex model from the three-dimensional vertex models by using a deep learning algorithm according to the building contour extracted from the infrared image;
and the real-time modeling unit of the modeling terminal improves the three-dimensional vertex model according to the building outline to obtain a three-dimensional vertex stereogram of the building outline corresponding to the infrared image.
5. The building information identification method based on block chain and dual light fusion according to claim 4,
for rural houses with enclosing walls, the modeling control unit respectively sets four anchor point elements on four vertexes of the outer edge of the rural house, or sets four anchor point elements on four vertexes of the outer edge of the rural house plus the extension distance.
6. The building information identification method based on block chain and dual light fusion according to claim 4,
for rural residences without a fence, the modeling control unit sets the four anchor point elements as follows: two anchor point elements are determined according to the existing rural buildings; the other two anchor points are determined by reconstructing a rectangle according to the sum of the areas of 200 square meters and the extended area.
7. The building information identification method based on block chain and dual-light fusion of claim 5 or 6, wherein the modeling terminal sends the geographical position of the anchor point element determined in real time to the unmanned aerial vehicle; after the infrared shooting subunit of the unmanned aerial vehicle obtains the positions of the anchor point elements, the image acquisition resolution within the position of the rectangle formed by the four anchor point elements is higher than the image acquisition resolution outside the rectangle formed by the four anchor point elements.
8. The building information identification method based on block chain and dual-light fusion of claim 7, wherein on a second time axis, the unmanned aerial vehicle collects visible light images of four dimensions of top view, front, back, left and right of the corresponding rural residence according to the received positioning data of the rural residence and the corresponding anchor point element; the resolution of the acquisition of the visible light image within the position of the rectangle made up of the four anchor elements is higher than the resolution of the acquisition of the visible light image outside the rectangle made up of the four anchor elements.
9. The building information identification system based on the block chain and double-light fusion is characterized by being applied to an unmanned aerial vehicle and a building right confirming terminal remotely connected with the unmanned aerial vehicle, wherein the building right confirming terminal stores right confirming information into a block chain network;
the block chain network comprises a first branch, a second branch and a third branch, and data communication functions are arranged among different branches; the system also comprises a block chain information query inlet and a block chain information query outlet;
the block chain information inquiry inlet is connected with the first branch, and the block chain information inquiry outlet is respectively connected with the first branch, the second branch and the third branch.
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