CN113033494A - Surveying and mapping data acquisition system based on geographic spatial information data surveying and mapping - Google Patents
Surveying and mapping data acquisition system based on geographic spatial information data surveying and mappingDownload PDFInfo
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- CN113033494A CN113033494ACN202110462762.3ACN202110462762ACN113033494ACN 113033494 ACN113033494 ACN 113033494ACN 202110462762 ACN202110462762 ACN 202110462762ACN 113033494 ACN113033494 ACN 113033494A
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Abstract
Description
Technical Field
The invention relates to the technical field of geographic information measurement, in particular to a surveying and mapping data acquisition system based on geospatial information data surveying and mapping.
Background
Geographic information is information used to describe the spatial location and distribution of various targets in the real world, and is one of the most important and fundamental information resources for human beings.
The geographic information is information related to spatial geographic distribution, which represents inherent data, quality, distribution characteristics of surface objects and environments, and the general names of numbers, characters, graphs, images and the like of connection and rules, and in urban and rural construction, utilization of national and local resources, environmental protection and other works, various maps must be measured and mapped for planning and management, in geological exploration, mineral development, water conservancy, traffic and other constructions, control measurement, mine measurement, route measurement and topographic map drawing must be carried out for geological survey and various building design and construction, and as the terrain and the regional environment can change along with the change of time, the timely updating of mapping data is more important.
The surveying and mapping wording is understood as measuring and mapping, which is based on computer technology, photoelectric technology, network communication technology, space science and information science, takes a Global Navigation Satellite System (GNSS), Remote Sensing (RS) and a Geographic Information System (GIS) as technical cores, selects existing characteristic points and boundary lines on the ground, obtains figure and position information reflecting the current situation of the ground by a measuring means, and is used for engineering construction, planning and design and administrative management.
When the surveying and mapping data is actually collected, after field data is collected in data processing, the instrument returns to a company for data communication, and internal data processing and editing are performed, so that the construction period is long, and field personnel easily make mistakes by debit memory and draft comparison, so that certain analysis is important before the surveying and mapping data is comprehensively updated.
At present, some mapping data acquisition systems based on geospatial information data mapping exist, but the mapping data acquisition systems generally cannot determine whether the mapping data needs to be updated and the time for updating the mapping data again before the mapping data is comprehensively acquired by analyzing the road condition change rate and the actual area environment change rate, so that the problems of frequent and untimely invalid updating of the mapping data are solved.
Disclosure of Invention
Therefore, the invention provides a surveying and mapping data acquisition system based on geospatial information data surveying and mapping, which can effectively solve the technical problem that in the prior art, the change rate of road conditions and the change rate of actual area environment cannot be analyzed to confirm whether the surveying and mapping data needs to be updated again before the surveying and mapping data is comprehensively acquired, so that the surveying and mapping data is invalid and updated frequently.
In order to achieve the above object, the present invention provides a surveying and mapping data acquisition system based on geospatial information data surveying and mapping, comprising:
the image acquisition module is used for acquiring an image of the target area;
the information transmission module is connected with the image acquisition module and used for transmitting the image of the target area acquired by the image acquisition module to the image analysis module for image analysis;
the image analysis module is connected with the information transmission module, is used for analyzing the information transmitted by the information transmission module to obtain the change rate of the road condition and the change rate of the actual area environment, and is internally provided with a central control unit used for controlling the image analysis process;
and the image database is respectively connected with the image acquisition module and the image analysis module and is used for storing the historical images of the target area.
Before the survey data is collected, the central control unit compares the road condition change rate X with a preset road condition change rate X0 stored in the image analysis module to determine whether the corresponding area of the image needs to update the survey data, and compares the actual area environment change rate A with a preset area environment change rate stored in the image analysis module to determine the update time when the survey data needs to be updated;
the road condition change rate X is determined by the road number change quantity delta N, the road number change parameter K, the road direction parameter, the road direction change quantity delta w and the road direction adjustment parameter P;
and the actual area environment change rate A is determined by the building construction amount and the forest growth amount.
Further, before the survey and drawing data is collected, the unmanned aerial vehicle is placed in a target area, the image collection module is started to collect the target area image according to the shooting position and the shooting parameters of the target area image stored in the image database, when the image acquisition is finished, the image analysis module analyzes the image to obtain the road condition change rate X, and when the acquisition is finished, the central control unit compares the road condition change rate X with a preset road condition change rate X0 to determine whether the corresponding area of the image requires updating of the mapping data, and when the central control unit determines that the corresponding area of the image does not require updating of the mapping data, when the unmanned aerial vehicle flies to the next target area for image acquisition, and the central control unit judges that the corresponding area of the image needs to update the mapping data, the central control unit further analyzes the acquired image to acquire a regional environment change rate A;
if X is larger than or equal to X0, the central control unit judges that the corresponding area of the image needs to update the mapping data;
if X < X0, the central control unit determines that the corresponding region of the image does not need to update the mapping data.
Further, before the survey and drawing data is collected, the central control unit calculates a road condition change rate X, and the calculation formula is as follows:
X=△N×K+H1△w×p+H2△w×p+H3△w×p+…+Hn△w×p；
where Δ N denotes a road number change amount, K denotes a road number change parameter, Hi denotes a road direction parameter, Δ w denotes a road direction change amount, and P denotes a road direction adjustment parameter, where K is greater than 0 and less than or equal to 1, Hi is greater than or equal to 0 and less than or equal to 1, and P is greater than 0 and less than or equal to 1, and i =1,2,3, …, N is set.
Further, before the acquisition of the mapping data, the image analysis module analyzes the image acquired by the image acquisition module to acquire a road number variation Δ N, when the acquisition is completed, the central control unit compares the road number variation Δ N with a standard road number variation to determine whether a road condition change rate X needs to be determined in combination with a road direction condition, and when the central control unit determines that the road condition change rate X does not need to be determined in combination with the road direction condition, the image analysis module can directly calculate the road condition change rate X without analyzing the road direction condition of the acquired image;
the central control unit is also internally provided with standard road number variation, wherein the standard road number variation comprises a first standard road number variation B1 and a second standard road number variation B2, and B1 is more than or equal to 0 and is more than or equal to B2;
if the delta N is less than B1, the central control unit judges that the road condition change rate X needs to be determined by combining the road direction condition, and 0 < Hi < 1/2 is set;
if the delta N is more than or equal to B1 and less than B2, the central control unit judges that the road condition change rate X needs to be determined by combining the road direction condition, and Hi is more than or equal to 1/2 and less than 1;
if the delta N is larger than or equal to B2, the central control unit judges that the road condition change rate X is not required to be determined by combining the road direction condition, and sets Hi = 0;
here, setting i =1,2,3, …, n is set.
Further, before the collection of the mapping data, the central control unit sets the number of actual roads in the image of the target area collected by the image collection module to be N, and simultaneously sets the number of roads in the image of the target area stored in the image database to be N0, and when the setting is completed, the central control unit calculates the road number variation Δ N and sets Δ N = | N-N0 |.
Further, when the central control unit determines that the road condition change rate X needs to be determined by combining the road direction conditions, the image analysis module continues to analyze the image acquired by the image acquisition module, the central control unit overlaps the image of the target region in the image database with the image of the target region acquired by the image acquisition module and establishes a rectangular coordinate system with an intersection point of diagonal lines as an origin, the origin is set to be 0, when the setting is completed, the road direction a in the image of the target region in the image database and the road direction b in the image of the target region acquired by the same road image acquisition module are obtained, and when the obtaining is completed, the central control unit calculates the road direction change amount Δ w, and the calculation formula is as follows:
△w=arccos[（|a|×|b|）/（a×b）]。
further, when the central control unit judges that the corresponding area of the image needs to update the mapping data, the central control unit acquires an actual area environment change rate A, when the acquisition is completed, the central control unit compares the actual area environment change rate A with a preset area environment change rate to determine the update time when the mapping data needs to be updated, when the central control unit updates the mapping data after judging the Ti time, the central control unit sorts the mapping data according to the time of updating the mapping data of all target areas from short to long to update the mapping data of the target areas according to the time sequence, and i =1,2,3,4 is set;
the preset region environment change rate comprises a first preset region environment change rate A1, a second preset region environment change rate A2 and a third preset region environment change rate A3, wherein A1 is more than or equal to 0 and more than A2 and more than A3 and less than 1; the central control unit is internally provided with standard updating and mapping time which comprises a first standard updating and mapping time T1, a second standard updating and mapping time T2, a third standard updating and mapping time T3 and a fourth standard updating and mapping time T4, wherein T1 is more than T2, more than T3, more than T4 and more than or equal to 0;
if A is less than A1, the central control unit judges that the mapping data of the corresponding area of the image is updated after T1 time;
if A1 is not less than A and is less than A2, the central control unit judges that the mapping data of the corresponding area of the image are updated after T2 time;
if A2 is not less than A and is less than A3, the central control unit judges that the mapping data of the corresponding area of the image are updated after T3 time;
and if A is larger than or equal to A3, the central control unit judges that the mapping data of the corresponding area of the image is updated after T4 time.
Further, when the central control unit determines that the area corresponding to the image needs to update the mapping data, the central control unit obtains the forest growth variation quantity Δ S and the building variation quantity Δ F of the acquired image according to the analysis of the image analysis module, and when the obtaining is completed, the central control unit calculates the actual area environment change rate a, and the calculation formula is as follows:
A=△S×δ+△F×σ；
in the formula, delta represents a forest growth change coefficient, and sigma represents a building change coefficient, wherein delta is more than 0 and less than 1, and sigma is more than 0 and less than 1.
Further, when the central control unit determines that the corresponding area of the image needs to update the mapping data, the central control unit sets the forest coverage of the image of the target area acquired by the image acquisition module to be S, and simultaneously sets the forest coverage of the image of the target area in the image database to be S0, and when the setting is completed, the central control unit calculates the forest growth variation Δ S and sets Δ S = | S-S0 |.
Compared with the prior art, the invention has the advantages that the image analysis module and the image acquisition module are arranged, the image analysis module analyzes the image of the target area acquired by the image acquisition module to acquire the road condition change rate and the actual area environment change rate, when the acquisition is completed, the road condition change rate is compared with the preset road condition change rate to determine whether the area corresponding to the image needs to update the mapping data or not, the actual area environment change rate is compared with the preset area environment change rate to determine the updating time when the mapping data needs to be updated, so that the road condition change rate and the area environment change rate can be analyzed to determine whether the mapping data needs to be updated or not and the time for updating the mapping data again before the mapping data is comprehensively acquired, and further the invalid updating without changing the terrain can be effectively reduced, the updated mapping time can indeed also ensure a comprehensive and timely updating of the mapping data.
Further, the invention compares the road condition change rate X with the preset road condition change rate X0 to determine whether the corresponding area of the image needs to update the mapping data, compares the actual area environment change rate A with the preset area environment change rate to determine the update time when the mapping data needs to be updated, wherein the road condition change rate X is determined by the road number change quantity delta N, the road number change parameter K, the road direction parameter, the road direction change quantity delta w and the road direction adjustment parameter P, the actual area environment change rate A is determined by the house building amount and the forest growing amount, thereby being capable of analyzing the road condition change rate and the area environment change rate to determine whether the mapping data needs to be updated again before the mapping data is comprehensively collected, and further being capable of effectively reducing the invalid update of the terrain without change, the updated mapping time can indeed also ensure a comprehensive and timely updating of the mapping data.
Further, the invention compares the road condition change rate X with the preset road condition change rate X0 to determine whether the corresponding area of the image needs to update the mapping data, so that the road condition change rate and the area environment change rate can be analyzed to confirm whether the mapping data needs to be updated and the time for updating the mapping data again before the mapping data is comprehensively collected, thereby effectively reducing the invalid update of the terrain without change, and ensuring the comprehensive and timely updating of the mapping data for the updating of the mapping time.
Furthermore, the road condition change rate X is calculated through a preset formula, and the setting of various parameters can improve the calculation accuracy, so that the road condition change rate and the regional environment change rate can be analyzed to determine whether the surveying and mapping data needs to be updated and the time for updating the surveying and mapping data again before the surveying and mapping data are comprehensively collected, further the invalid updating that the terrain does not change can be effectively reduced, and the surveying and mapping data can be comprehensively and timely updated with the updated surveying and mapping time.
Further, the road condition change rate X is determined by comparing the road number change quantity delta N with the standard road number change quantity so as to determine whether the road condition change rate X needs to be determined by combining the road direction condition, so that whether the surveying and mapping data needs to be updated and the time for updating the surveying and mapping data can be determined again before the surveying and mapping data are comprehensively collected by analyzing the road condition change rate and the regional environment change rate, invalid updating without changing the terrain can be effectively reduced, and the surveying and mapping data can be comprehensively and timely updated certainly when the surveying and mapping data are updated.
Furthermore, the updating time when the mapping data needs to be updated is determined by comparing the actual regional environment change rate A with the preset regional environment change rate, so that whether the mapping data needs to be updated and the time for updating the mapping data can be confirmed again before the mapping data is comprehensively collected by analyzing the road condition change rate and the regional environment change rate, invalid updating without changing the terrain can be effectively reduced, and the mapping data can be comprehensively and timely updated with the updating time.
Furthermore, the actual regional environment change rate A is calculated through a preset formula, and the setting of different coefficients can improve the calculation accuracy, so that the road condition change rate and the regional environment change rate can be analyzed to confirm whether the surveying and mapping data needs to be updated and the time for updating the surveying and mapping data again before the surveying and mapping data are comprehensively collected, invalid updating of the terrain without change can be effectively reduced, and the surveying and mapping data can be comprehensively and timely updated with the updated surveying and mapping time.
Drawings
FIG. 1 is a schematic structural diagram of a surveying and mapping data acquisition system based on geospatial information data mapping according to an embodiment of the present invention;
the notation in the figure is: 1. an image acquisition module; 2. an information transmission module; 3. an image analysis module; 31. a central control unit; 32. an image analysis unit; 4. an image database; 5. an engine module.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, which is a schematic structural diagram of a surveying and mapping data acquisition system based on geospatial information data surveying and mapping according to an embodiment of the present invention, the present invention provides a surveying and mapping data acquisition system based on geospatial information data surveying and mapping, including:
the image acquisition module 1 is used for acquiring images of a target area;
the information transmission module 2 is connected with the image acquisition module 1 and is used for transporting the image of the target area acquired by the image acquisition module 1 to the image analysis module 3 for image analysis;
the image analysis module 3 is connected with the information transmission module 2, is used for analyzing the information transmitted by the information transmission module 2 to obtain the change rate of the road condition and the change rate of the actual area environment, and is internally provided with a central control unit 31 for controlling the image analysis process;
and the image database 4 is respectively connected with the image acquisition module 1 and the image analysis module 3 and is used for storing historical images of the target area.
Before the collection of the mapping data, the central control unit 31 compares the road condition change rate X with a preset road condition change rate X0 stored in the image analysis module 3 to determine whether the corresponding area of the image needs to update the mapping data, and compares the actual area environment change rate a with a preset area environment change rate stored in the image analysis module 3 to determine the update time when the mapping data needs to be updated;
the road condition change rate X is determined by the road number change quantity delta N, the road number change parameter K, the road direction parameter, the road direction change quantity delta w and the road direction adjustment parameter P;
and the actual area environment change rate A is determined by the building construction amount and the forest growth amount.
In this embodiment, a PLC control board is provided in the central control unit 31.
As shown in fig. 1, the image analysis module 3 further includes an image analysis unit 32, which is connected to the central control unit 31 and is used for analyzing the image analysis items specified by the central control unit 31.
With continued reference to fig. 1, the mapping data acquisition system further includes an engine module 5, which is connected to the image acquisition module 1, and is used to control the engine of the unmanned aerial vehicle to move to the target area for image acquisition.
Specifically, the present invention compares a road condition change rate X with a preset road condition change rate X0 to determine whether the corresponding area of the image needs to update the mapping data, compares an actual area environment change rate a with a preset area environment change rate to determine an update time when the mapping data needs to be updated, wherein the road condition change rate X is determined by a road number change quantity Δ N, a road number change parameter K, a road direction parameter, a road direction change quantity Δ w, and a road direction adjustment parameter P, the actual area environment change rate a is determined by a house building amount and a forest growth amount, so that it is possible to determine whether the mapping data needs to be updated again and the time for updating the mapping data before the mapping data is comprehensively collected by analyzing the road condition change rate and the area environment change rate, thereby effectively reducing invalid updates of the terrain without changes, the updated mapping time can indeed also ensure a comprehensive and timely updating of the mapping data.
Specifically, before the survey data is collected, the unmanned aerial vehicle is placed in the target area, the image collection module 1 is started to collect the target area image according to the shooting position and the shooting parameters of the target area image stored in the image database 4, when the image acquisition is finished, the image analysis module 3 analyzes the image to obtain the road condition change rate X, and when the acquisition is finished, the central control unit 31 compares the road condition change rate X with a preset road condition change rate X0 to determine whether the corresponding area of the image requires updating of the mapping data, when the central control unit 31 determines that the corresponding area of the image does not require updating of the mapping data, when the unmanned aerial vehicle flies to the next target area for image acquisition, and the central control unit 31 judges that the corresponding area of the image needs to update the mapping data, the central control unit 31 further analyzes the acquired image to obtain a regional environment change rate A;
if X is larger than or equal to X0, the central control unit 31 judges that the corresponding area of the image needs to update the mapping data;
if X < X0, the central control unit 31 determines that the corresponding region of the image does not need to update the mapping data.
In this embodiment, the target area is an area where the update of the mapping data is planned, and a plurality of target areas are provided.
Specifically, the invention compares the road condition change rate X with the preset road condition change rate X0 to determine whether the corresponding area of the image needs to update the mapping data, so that the road condition change rate and the area environment change rate can be analyzed to confirm whether the mapping data needs to be updated and the time for updating the mapping data again before the mapping data is fully collected, thereby effectively reducing the invalid updating without changing the terrain, and ensuring the updating of the mapping data in a full and timely manner for the updating of the mapping time.
Specifically, before the survey data is collected, the central control unit 31 calculates a road condition change rate X, which is calculated by the following formula:
X=△N×K+H1△w×p+H2△w×p+H3△w×p+…+Hn△w×p；
where Δ N denotes a road number change amount, K denotes a road number change parameter, Hi denotes a road direction parameter, Δ w denotes a road direction change amount, and P denotes a road direction adjustment parameter, where K is greater than 0 and less than or equal to 1, Hi is greater than or equal to 0 and less than or equal to 1, and P is greater than 0 and less than or equal to 1, and i =1,2,3, …, N is set.
Specifically, the road condition change rate X is calculated through a preset formula, and the setting of various parameters can improve the calculation accuracy, so that the road condition change rate and the regional environment change rate can be analyzed to confirm whether the surveying and mapping data needs to be updated or not and the time for updating the surveying and mapping data before the surveying and mapping data are comprehensively collected, invalid updating of terrain without change can be effectively reduced, and the surveying and mapping data can be comprehensively and timely updated certainly when the surveying and mapping time is updated.
Specifically, before the acquisition of the mapping data, the image analysis module 3 analyzes the image acquired by the image acquisition module 1 to obtain a road number variation Δ N, when the acquisition is completed, the central control unit 31 compares the road number variation Δ N with a standard road number variation to determine whether the road condition change rate X needs to be determined in combination with the road direction condition, and when the central control unit 31 determines that the road condition change rate X does not need to be determined in combination with the road direction condition, the image analysis module 3 can directly calculate the road condition change rate X without analyzing the road direction condition of the acquired image;
the central control unit 31 is also provided with standard road number variation, including a first standard road number variation B1 and a second standard road number variation B2, where B1 is greater than or equal to 0 and B2;
if the delta N is less than B1, the central control unit 31 judges that the road condition change rate X needs to be determined by combining the road direction condition, and sets 0 < Hi < 1/2;
if the delta N is more than or equal to B1 and less than B2, the central control unit 31 judges that the road condition change rate X needs to be determined according to the road direction condition, and Hi is more than or equal to 1/2 and less than 1;
if Δ N is greater than or equal to B2, the central control unit 31 determines that the road condition change rate X does not need to be determined in combination with the road direction condition, and sets Hi = 0;
here, setting i =1,2,3, …, n is set.
Specifically, the road condition change rate X is determined by comparing the road number change quantity Δ N with the standard road number change quantity to determine whether the road condition change rate X needs to be determined in combination with the road direction condition, so that whether the mapping data needs to be updated and the time for updating the mapping data can be determined again before the mapping data is comprehensively collected by analyzing the road condition change rate and the regional environment change rate, invalid updating without changing the terrain can be effectively reduced, and the mapping data can be comprehensively and timely updated with certainty when the mapping data is updated.
Specifically, before the collection of the mapping data, the central control unit 31 sets the number of actual roads in the image of the target area collected by the image collection module 1 to N, and at the same time, the central control unit 31 sets the number of roads in the image of the target area stored in the image database 4 to N0, and when the setting is completed, the central control unit 31 calculates the road number variation Δ N, and sets Δ N = | N-N0 |.
Specifically, when the central control unit 31 determines that the road condition change rate X needs to be determined by combining the road direction condition, the image analysis module 3 continues to analyze the image acquired by the image acquisition module 1, the central control unit 31 superimposes the image of the target area in the image database 4 and the image of the target area acquired by the image acquisition module 1, and establishes a rectangular coordinate system with an intersection point of diagonal lines as an origin, the origin is set to 0, when the setting is completed, the road direction a in the image of the target area in the image database 4 and the road direction b in the image of the target area acquired by the same road image acquisition module 1 are obtained, and when the obtaining is completed, the central control unit 31 calculates the road direction change amount Δ w, and the calculation formula is as follows:
△w=arccos[（|a|×|b|）/（a×b）]。
specifically, when the central control unit 31 determines that the area corresponding to the image needs to update the mapping data, the central control unit 31 acquires an actual area environment change rate a, when the acquisition is completed, the central control unit 31 compares the actual area environment change rate a with a preset area environment change rate to determine an update time when the mapping data needs to be updated, when the central control unit 31 updates the mapping data after determining the Ti time, the central control unit 31 sorts the mapping data according to the time of updating the mapping data of all target areas from short to long to update the mapping data of the target areas according to the time sequence, and i =1,2,3,4 is set;
the preset region environment change rate comprises a first preset region environment change rate A1, a second preset region environment change rate A2 and a third preset region environment change rate A3, wherein A1 is more than or equal to 0 and more than A2 and more than A3 and less than 1; the central control unit 31 is internally provided with standard updating and mapping time which comprises a first standard updating and mapping time T1, a second standard updating and mapping time T2, a third standard updating and mapping time T3 and a fourth standard updating and mapping time T4, wherein T1 is more than T2, more than T3, more than T4 and more than or equal to 0;
if A is less than A1, the central control unit 31 judges that the mapping data of the corresponding area of the image is updated after T1 time;
if A1 is not less than A and is less than A2, the central control unit 31 judges that the mapping data of the corresponding area of the image is updated after T2 time;
if A2 is not less than A and is less than A3, the central control unit 31 judges that the mapping data of the corresponding area of the image is updated after T3 time;
if A is larger than or equal to A3, the central control unit 31 updates the mapping data of the corresponding area of the image after judging T4 time.
In this embodiment, the standard update mapping time is 0 in the shortest time, which occurs when the change rate of the regional environment is extremely large.
Specifically, the invention compares the actual area environment change rate A with the preset area environment change rate to determine the update time when the mapping data needs to be updated, so that whether the mapping data needs to be updated and the time for updating the mapping data can be confirmed again before the mapping data is comprehensively collected by analyzing the road condition change rate and the area environment change rate, the invalid update of the terrain without change can be effectively reduced, and the mapping data can be comprehensively and timely updated with the update time.
Specifically, when the central control unit 31 determines that the area corresponding to the image needs to update the mapping data, the central control unit 31 obtains the forest growth variation Δ S and the building variation Δ F of the acquired image according to the analysis of the image analysis module 3, and when the obtaining is completed, the central control unit 31 calculates the actual area environment variation rate a, and the calculation formula is as follows:
A=△S×δ+△F×σ；
in the formula, delta represents a forest growth change coefficient, and sigma represents a building change coefficient, wherein delta is more than 0 and less than 1, and sigma is more than 0 and less than 1.
Specifically, the actual regional environment change rate A is calculated through a preset formula, and the setting of different coefficients can improve the calculation accuracy, so that the road condition change rate and the regional environment change rate can be analyzed to determine whether the surveying and mapping data needs to be updated and the time for updating the surveying and mapping data again before the surveying and mapping data are comprehensively collected, invalid updating of the terrain without change can be effectively reduced, and the surveying and mapping data can be comprehensively and timely updated with the updated surveying and mapping time.
Specifically, when the central control unit 31 determines that the image corresponding region needs to update the mapping data, the central control unit 31 sets the forest coverage of the image of the target region acquired by the image acquisition module 1 to S, and at the same time, the central control unit 31 sets the forest coverage of the image of the target region in the image database 4 to S0, and when the setting is completed, the central control unit 31 calculates a forest growth variation Δ S and sets Δ S = | S-S0 |.
In this embodiment, the building variation Δ F is determined comprehensively according to the number, height, color, and the like of buildings of the image of the target area acquired by the image acquisition module 1 and the image of the target area in the image database 4.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (9)
1. A survey data acquisition system based on geospatial information data surveying, comprising:
the image acquisition module is used for acquiring an image of the target area;
the information transmission module is connected with the image acquisition module and used for transmitting the image of the target area acquired by the image acquisition module to the image analysis module for image analysis;
the image analysis module is connected with the information transmission module, is used for analyzing the information transmitted by the information transmission module to obtain the change rate of the road condition and the change rate of the actual area environment, and is internally provided with a central control unit used for controlling the image analysis process;
the image database is respectively connected with the image acquisition module and the image analysis module and is used for storing historical images of the target area;
before the survey data is collected, the central control unit compares the road condition change rate X with a preset road condition change rate X0 stored in the image analysis module to determine whether the corresponding area of the image needs to update the survey data, and compares the actual area environment change rate A with a preset area environment change rate stored in the image analysis module to determine the update time when the survey data needs to be updated;
the road condition change rate X is determined by the road number change quantity delta N, the road number change parameter K, the road direction parameter, the road direction change quantity delta w and the road direction adjustment parameter P;
and the actual area environment change rate A is determined by the building construction amount and the forest growth amount.
2. The system of claim 1, wherein before the acquisition of the mapping data, the UAV is placed in a target area and the image acquisition module is activated to acquire the target area image according to the shooting position and the shooting parameters of the target area image stored in the image database, when the acquisition is completed, the image analysis module analyzes the image to obtain a road condition change rate X, when the acquisition is completed, the central control unit compares the road condition change rate X with a preset road condition change rate X0 to determine whether the corresponding area of the image needs to update the mapping data, when the central control unit determines that the corresponding area of the image does not need to update the mapping data, the UAV flies to the next target area to acquire the image, and when the central control unit determines that the corresponding area of the image needs to update the mapping data, the central control unit further analyzes the acquired image to acquire a regional environment change rate A;
if X is larger than or equal to X0, the central control unit judges that the corresponding area of the image needs to update the mapping data;
if X < X0, the central control unit determines that the corresponding region of the image does not need to update the mapping data.
3. The system of claim 2, wherein prior to collection of the survey data, the central control unit calculates a rate of change of road conditions X according to the following equation:
X=△N×K+H1△w×p+H2△w×p+H3△w×p+…+Hn△w×p；
where Δ N denotes a road number change amount, K denotes a road number change parameter, Hi denotes a road direction parameter, Δ w denotes a road direction change amount, and P denotes a road direction adjustment parameter, where K is greater than 0 and less than or equal to 1, Hi is greater than or equal to 0 and less than or equal to 1, and P is greater than 0 and less than or equal to 1, and i =1,2,3, …, N is set.
4. The system of claim 3, wherein before the collection of the mapping data, the image analysis module analyzes the image collected by the image collection module to obtain a road number variation Δ N, when the collection is completed, the central control unit compares the road number variation Δ N with a standard road number variation to determine whether a road condition change rate X needs to be determined in combination with a road direction condition, and when the central control unit determines that the road condition change rate X does not need to be determined in combination with the road direction condition, the image analysis module can directly calculate the road condition change rate X without analyzing the road direction condition of the collected image;
the central control unit is also internally provided with standard road number variation, wherein the standard road number variation comprises a first standard road number variation B1 and a second standard road number variation B2, and B1 is more than or equal to 0 and is more than or equal to B2;
if the delta N is less than B1, the central control unit judges that the road condition change rate X needs to be determined by combining the road direction condition, and 0 < Hi < 1/2 is set;
if the delta N is more than or equal to B1 and less than B2, the central control unit judges that the road condition change rate X needs to be determined by combining the road direction condition, and Hi is more than or equal to 1/2 and less than 1;
if the delta N is larger than or equal to B2, the central control unit judges that the road condition change rate X is not required to be determined by combining the road direction condition, and sets Hi = 0;
here, setting i =1,2,3, …, n is set.
5. The system of claim 4, wherein before the collection of the mapping data, the central control unit sets the number of actual roads in the image of the target area collected by the image collection module to N, and sets the number of roads in the image of the target area stored in the image database to N0, and when the collection is completed, the central control unit calculates the road number variation Δ N and sets Δ N = | N-N0 |.
6. The geospatial information data mapping-based survey data acquisition system of claim 4, wherein when the central control unit determines that the road condition change rate X needs to be determined in combination with the road direction condition, the image analysis module continuously analyzes the image acquired by the image acquisition module, the central control unit overlaps the image of the target area in the image database with the image of the target area acquired by the image acquisition module and establishes a rectangular coordinate system by taking the intersection point of the diagonals as an origin, the origin is set to be 0, and when the setting is finished, the method comprises the following steps of obtaining a road direction a in a target area image in an image database and a road direction b in an image of a target area acquired by a same road image acquisition module, and when the obtaining is completed, calculating a road direction variation quantity delta w by a central control unit, wherein the calculation formula is as follows:
△w=arccos[（|a|×|b|）/（a×b）]。
7. the system according to claim 4, wherein when the central control unit determines that the area corresponding to the image requires updating of the mapping data, the central control unit obtains the actual area environment change rate A, when the obtaining is completed, the central control unit compares the actual area environment change rate A with the preset area environment change rate to determine the updating time when the mapping data needs to be updated, and when the central control unit determines that the mapping data is updated after the Ti time, the central control unit sorts the updating time of the mapping data of all target areas from short to long to update the mapping data of the target areas in time sequence, and sets i =1,2,3, 4;
the preset region environment change rate comprises a first preset region environment change rate A1, a second preset region environment change rate A2 and a third preset region environment change rate A3, wherein A1 is more than or equal to 0 and more than A2 and more than A3 and less than 1; the central control unit is internally provided with standard updating and mapping time which comprises a first standard updating and mapping time T1, a second standard updating and mapping time T2, a third standard updating and mapping time T3 and a fourth standard updating and mapping time T4, wherein T1 is more than T2, more than T3, more than T4 and more than or equal to 0;
if A is less than A1, the central control unit judges that the mapping data of the corresponding area of the image is updated after T1 time;
if A1 is not less than A and is less than A2, the central control unit judges that the mapping data of the corresponding area of the image are updated after T2 time;
if A2 is not less than A and is less than A3, the central control unit judges that the mapping data of the corresponding area of the image are updated after T3 time;
and if A is larger than or equal to A3, the central control unit judges that the mapping data of the corresponding area of the image is updated after T4 time.
8. The system according to claim 7, wherein when the central control unit determines that the area corresponding to the image needs to update the mapping data, the central control unit obtains the forest growth variation Δ S and the building variation Δ F of the collected image according to the analysis of the image analysis module, and when the obtaining is completed, the central control unit calculates the actual area environment variation rate a, and the calculation formula is as follows:
A=△S×δ+△F×σ；
in the formula, delta represents a forest growth change coefficient, and sigma represents a building change coefficient, wherein delta is more than 0 and less than 1, and sigma is more than 0 and less than 1.
9. The system of claim 8, wherein when the central control unit determines that the image-corresponding region needs to update the mapping data, the central control unit sets the forest coverage of the image of the target region collected by the image collection module to S, and sets the forest coverage of the image of the target region in the image database to S0, and when the setting is completed, the central control unit calculates a forest growth variation Δ S and sets Δ S = | S-S0 |.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114020855A (en)* | 2021-09-22 | 2022-02-08 | 福建省新天地信勘测有限公司 | A Surveying and Mapping Data Acquisition System Based on Geospatial Information Data Surveying |
| CN114185950A (en)* | 2022-02-17 | 2022-03-15 | 威海市城市规划技术服务中心有限公司 | Geographic information mapping management system based on multi-rotor unmanned aerial vehicle |
| CN114664216A (en)* | 2022-02-21 | 2022-06-24 | 北京富通亚讯网络信息技术有限公司 | Diversity signal generating system and method based on double-domain mode locking technology |
| CN114882025A (en)* | 2022-07-08 | 2022-08-09 | 山东一图百景信息技术有限公司 | Geographic mapping data acquisition and processing system based on big data |
| CN116883536A (en)* | 2023-09-01 | 2023-10-13 | 山东省物化探勘查院 | Water area mapping image management system |
| CN118408535A (en)* | 2024-05-13 | 2024-07-30 | 湖南省地源云图信息科技有限公司 | Novel geographic information data acquisition system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102338638A (en)* | 2010-07-26 | 2012-02-01 | 北京旅行者科技有限公司 | Navigation equipment and its map data updating method |
| US20120083716A1 (en)* | 2010-09-30 | 2012-04-05 | Shelten Gee Jao Yuen | Portable Monitoring Devices and Methods of Operating Same |
| CN102944243A (en)* | 2012-11-16 | 2013-02-27 | 沈阳美行科技有限公司 | Navigation device and method capable of updating increment of map data |
| CN103268358A (en)* | 2013-06-05 | 2013-08-28 | 国家测绘地理信息局卫星测绘应用中心 | Method for constructing and updating multi-source control-point image database |
| CN104615710A (en)* | 2015-02-04 | 2015-05-13 | 韩海丰 | Electronic map frame data updating method |
| CN107885790A (en)* | 2017-10-19 | 2018-04-06 | 东南大学 | A kind of path space network multiple-factor automatic update method |
| CN109241069A (en)* | 2018-08-23 | 2019-01-18 | 中南大学 | A kind of method and system that the road network based on track adaptive cluster quickly updates |
| CN109447160A (en)* | 2018-10-31 | 2019-03-08 | 武汉大学 | A kind of method of image and vector road junction Auto-matching |
| US20190101934A1 (en)* | 2017-10-04 | 2019-04-04 | Here Global B.V. | Link level wind factor computation for efficient drone routing using 3d city map data |
| US20190137287A1 (en)* | 2017-06-27 | 2019-05-09 | drive.ai Inc. | Method for detecting and managing changes along road surfaces for autonomous vehicles |
| CN110348483A (en)* | 2019-06-06 | 2019-10-18 | 重庆工商大学融智学院 | Change detection and classification method based on the spatial information of spatial information and statistical learning |
- 2021
- 2021-04-28CNCN202110462762.3Apatent/CN113033494B/enactiveActive
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102338638A (en)* | 2010-07-26 | 2012-02-01 | 北京旅行者科技有限公司 | Navigation equipment and its map data updating method |
| US20120083716A1 (en)* | 2010-09-30 | 2012-04-05 | Shelten Gee Jao Yuen | Portable Monitoring Devices and Methods of Operating Same |
| CN102944243A (en)* | 2012-11-16 | 2013-02-27 | 沈阳美行科技有限公司 | Navigation device and method capable of updating increment of map data |
| CN103268358A (en)* | 2013-06-05 | 2013-08-28 | 国家测绘地理信息局卫星测绘应用中心 | Method for constructing and updating multi-source control-point image database |
| CN104615710A (en)* | 2015-02-04 | 2015-05-13 | 韩海丰 | Electronic map frame data updating method |
| US20190137287A1 (en)* | 2017-06-27 | 2019-05-09 | drive.ai Inc. | Method for detecting and managing changes along road surfaces for autonomous vehicles |
| US20190101934A1 (en)* | 2017-10-04 | 2019-04-04 | Here Global B.V. | Link level wind factor computation for efficient drone routing using 3d city map data |
| CN107885790A (en)* | 2017-10-19 | 2018-04-06 | 东南大学 | A kind of path space network multiple-factor automatic update method |
| CN109241069A (en)* | 2018-08-23 | 2019-01-18 | 中南大学 | A kind of method and system that the road network based on track adaptive cluster quickly updates |
| CN109447160A (en)* | 2018-10-31 | 2019-03-08 | 武汉大学 | A kind of method of image and vector road junction Auto-matching |
| CN110348483A (en)* | 2019-06-06 | 2019-10-18 | 重庆工商大学融智学院 | Change detection and classification method based on the spatial information of spatial information and statistical learning |
Non-Patent Citations (3)
| Title |
|---|
| HUANG MIN ET.AL: "A Data Model for Guide Sign System and Its Application in Guide Sign Placement", 《2014 FIFTH INTERNATIONAL CONFERENCE ON COMPUTING FOR GEOSPATIAL RESEARCH AND APPLICATION》* |
| 张鹏程 等: "广州市公众地理信息服务平台的设计与开发", 《地理空间信息》* |
| 蓝秋萍: "地图数据多尺度级联更新方法研究", 《中国博士学位论文全文数据库 基础科学辑》* |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114020855A (en)* | 2021-09-22 | 2022-02-08 | 福建省新天地信勘测有限公司 | A Surveying and Mapping Data Acquisition System Based on Geospatial Information Data Surveying |
| CN114185950A (en)* | 2022-02-17 | 2022-03-15 | 威海市城市规划技术服务中心有限公司 | Geographic information mapping management system based on multi-rotor unmanned aerial vehicle |
| CN114664216A (en)* | 2022-02-21 | 2022-06-24 | 北京富通亚讯网络信息技术有限公司 | Diversity signal generating system and method based on double-domain mode locking technology |
| CN114664216B (en)* | 2022-02-21 | 2022-10-18 | 北京富通亚讯网络信息技术有限公司 | Display system with MPO optical fiber function |
| CN114882025A (en)* | 2022-07-08 | 2022-08-09 | 山东一图百景信息技术有限公司 | Geographic mapping data acquisition and processing system based on big data |
| CN114882025B (en)* | 2022-07-08 | 2022-09-06 | 山东一图百景信息技术有限公司 | Geographic mapping data acquisition and processing system based on big data |
| CN116883536A (en)* | 2023-09-01 | 2023-10-13 | 山东省物化探勘查院 | Water area mapping image management system |
| CN116883536B (en)* | 2023-09-01 | 2023-12-01 | 山东省物化探勘查院 | Water area mapping image management system |
| CN118408535A (en)* | 2024-05-13 | 2024-07-30 | 湖南省地源云图信息科技有限公司 | Novel geographic information data acquisition system |
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