CN113836254A - Natural resource comprehensive survey information extraction method - Google Patents
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Abstract
The invention belongs to the technical field of calculation, and particularly relates to a natural resource comprehensive investigation information extraction system which comprises a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated with each other through a wireless network module; the data acquisition end comprises a positioning module, a data acquisition module and a data transmission module; the data acquisition module comprises an image acquisition unit; the image acquisition unit is used for acquiring images of various places; and transmitting it to a data analysis end; and the data analysis end performs comparison analysis on the data transmitted by the data acquisition end. The data acquisition end is used for acquiring images, the acquired images are uploaded to the analysis end, and the analysis end is used for analyzing the data to determine the distribution condition of natural resources such as land resources, wetland resources and the like.
Description
Technical Field
The invention belongs to the technical field of computing, and particularly relates to a natural resource comprehensive survey information extraction system and an extraction method.
Background
In daily natural resource investigation, a checking department can arrange professional teams to carry out field photographing or camera shooting work all over the country, carry a large number of paper drawings and instruments with the team, and rush to the site for photographing and evidence obtaining; and the relevant departments reasonably plan the corresponding regions according to the relevant photographing evidence obtaining.
However, most of the current evidence collection of photographing is manually analyzed, and due to the professional limitation of personnel who rush to the scene for photographing, the distribution situation of natural resources can not be clearly fed back to relevant departments; or due to human factors, errors exist in the cultivated land area, or errors exist in wetland resources, so that related departments cannot accurately know the distribution condition of natural resources.
Disclosure of Invention
The invention discloses a natural resource comprehensive survey information extraction system and an extraction method, which aim to solve the problem that the distribution condition of natural resources can not be clearly fed back to relevant departments due to professional limitation of photographers in the background technology.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a natural resource comprehensive investigation information extraction system comprises a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated on the basis of a wireless network module;
the data acquisition end comprises a positioning module, a data acquisition module and a data transmission module;
the data acquisition module comprises an image acquisition unit; the image acquisition unit is used for acquiring images of various places;
the data transmission module constructs the positioning information of the current positioning module and the image acquired by the image acquisition unit on the corresponding positioning information into a data packet; and transmitting the data packet to a data analysis end;
and the data analysis end performs comparison analysis on the data transmitted by the data acquisition end to obtain natural resource distribution information.
According to the invention, the data acquisition end is used for acquiring images, the acquired images are uploaded to the analysis end, and the analysis end is used for comparing and analyzing the data to determine whether the acquired images contain the valuable vegetation or not, so that the situation that the corresponding valuable vegetation is damaged during planning due to professional limitation of a photographer is avoided. Besides the above analysis, the river layout, the city layout and the mountain layout can be analyzed, and certainly, the river layout can also be obtained through the positioning information in the positioning module.
Preferably, the data analysis end comprises an analysis unit, a model database and a real-time database;
the model database is used for storing each comparison model;
the real-time database is used for storing data acquired by the data acquisition end;
the analysis unit analyzes the data collected by the data collection end based on comparison between the data collected by the data collection end and the model in the model database, and confirms the distribution condition of natural resources.
Furthermore, a judging module is arranged in the data analysis end; the judging module obtains the positioning information in the returned data packet by analyzing the returned data packet, and judges whether the data acquisition place is correct or not based on the preset data acquisition position information. By judging the acquisition place, the situation that the relevant image of the acquisition place cannot correspond to the relevant image of the actual place is avoided.
The images include video and photographs.
A natural resource comprehensive information extraction method comprises the following steps:
step 1: the positioning module positions a current acquisition position, and plans an acquisition area by taking the current positioning point as a circle center and r as a radius;
step 2: the data acquisition end executes acquisition work, and the data acquired in the same area and the data of the acquisition area determined in the step 1 are packaged and sent to the data analysis end;
and step 3: after the data analysis end analyzes and receives the data packet transmitted by the data acquisition end, analyzing the data packet to acquire image information in the data packet;
and 4, step 4: analyzing river distribution, vegetation information and urban distribution information in the image information based on the convolutional neural network by taking the comparison model as a reference;
and 5: and determining and storing river distribution condition, vegetation information and city layout information.
Preferably, the step 3 comprises the following steps:
step 3.1: after the data analysis end analyzes the received data packet transmitted by the data acquisition end, the data analysis end analyzes the data packet to acquire the acquisition area information in the data packet;
step 3.2: comparing the acquired region information acquired in the step 3.1 with preset acquisition point information, and if the acquired region information is consistent with the preset acquisition point information, performing the step 3.3; if the comparison is inconsistent, sending error information to the data acquisition end, and sending correct acquisition point information to the data acquisition end; the data acquisition end returns to execute the step 1 according to the updated acquisition point;
step 3.3: and the data acquisition end acquires the image information of the corresponding acquisition point by analyzing the data packet.
Preferably, the city distribution information and the river distribution information in step 4 are determined according to a positioning module.
Further, step 4 also includes mountain distribution information and farmland distribution information, and the mountain and farmland distribution information is determined by the positioning module.
Further, the city, river, mountain and farmland distribution information is further confirmed by carrying out picture analysis based on convolutional network nerves.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: according to the invention, the data acquisition end acquires images, and the data analysis end performs image recognition, so that the understanding of the distribution condition of natural resources is realized; in addition, the judgment module judges whether the acquisition point is correct or not, so that the consistency of the data acquisition point and the preset acquisition point is ensured, and the acquired image and the preset acquisition point are ensured to correspond.
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The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of a system architecture according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of embodiments of the present application, generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
An embodiment of the present invention is described in detail below with reference to fig. 1;
a natural resource comprehensive investigation information extraction system comprises a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated on the basis of a wireless network module;
the data acquisition end comprises a positioning module, a data acquisition module and a data transmission module;
the data acquisition module comprises an image acquisition unit; the image acquisition unit is used for acquiring images of various places;
the data transmission module constructs the positioning information of the current positioning module and the image acquired by the image acquisition unit on the corresponding positioning information into a data packet; and transmitting the data packet to a data analysis end;
and the data analysis end performs comparison analysis on the data transmitted by the data acquisition end.
According to the invention, the data acquisition end is used for acquiring images, the acquired images are uploaded to the analysis end, and the analysis end is used for comparing and analyzing the data to determine whether the acquired images contain the valuable vegetation or not, so that the situation that the corresponding valuable vegetation is damaged during planning due to professional limitation of a photographer is avoided. Besides the above analysis, the river layout, the city layout and the mountain layout can be analyzed, and certainly, the river layout can also be obtained through the positioning information in the positioning module.
Preferably, the data analysis end comprises an analysis unit, a model database and a real-time database;
the model database is used for storing each comparison model;
the real-time database is used for storing data acquired by the data acquisition end;
the analysis unit analyzes the data collected by the data collection end based on comparison between the data collected by the data collection end and the model in the model database, and confirms the distribution condition of natural resources.
Furthermore, a judging module is arranged in the data analysis end; the judging module obtains the positioning information in the returned data packet by analyzing the returned data packet, and judges whether the data acquisition place is correct or not based on the preset data acquisition position information. By judging the acquisition place, the situation that the relevant image of the acquisition place cannot correspond to the relevant image of the actual place is avoided.
The images include video and photographs.
A natural resource comprehensive information extraction method comprises the following steps:
step 1: the positioning module positions a current acquisition position, and plans an acquisition area by taking the current positioning point as a circle center and r as a radius;
step 2: the data acquisition end executes acquisition work, packs the data in the same area with the acquisition area determined in the step 1 and sends the data to the data analysis end;
and step 3: after the data analysis end analyzes and receives the data packet transmitted by the data acquisition end, analyzing the data packet to acquire image information in the data packet;
the step 3 comprises the following steps:
step 3.1: after the data analysis end analyzes the received data packet transmitted by the data acquisition end, the data analysis end analyzes the data packet to acquire the acquisition area information in the data packet;
step 3.2: comparing the acquired region information acquired in the step 3.1 with preset acquisition point information, and if the acquired region information is consistent with the preset acquisition point information, performing the step 3.3; if the comparison is inconsistent, sending error information to the data acquisition end, and sending correct acquisition point information to the data acquisition end; the data acquisition end returns to execute the step 1 according to the updated acquisition point;
step 3.3: and the data acquisition end acquires the image information of the corresponding acquisition point by analyzing the data packet.
And 4, step 4: analyzing river distribution, vegetation information and urban distribution information in the image information based on the convolutional neural network by taking the reference model as a reference; the city distribution information and the river distribution information in the step 4 can obtain the distribution situation of the surrounding rivers and the city distribution situation according to the positioning information. And step 4, mountain distribution information and farmland distribution information are also included, and the mountain and farmland distribution information can acquire the surrounding mountain and farmland distribution conditions through the positioning information.
And carrying out picture analysis on the distribution information of the cities, rivers, mountains and cultivated lands based on convolutional network nerves for further confirmation.
And 5: and determining and storing river distribution condition, vegetation information and city layout information.
The above-mentioned embodiments only express the specific embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for those skilled in the art, without departing from the technical idea of the present application, several changes and modifications can be made, which are all within the protection scope of the present application.
Claims (9)
1. A natural resource comprehensive investigation information extraction system is characterized by comprising a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated on the basis of a wireless network module;
the data acquisition end comprises a positioning module, a data acquisition module and a data transmission module;
the data acquisition module comprises an image acquisition unit; the image acquisition unit is used for acquiring images of various places;
the data transmission module constructs the positioning information of the current positioning module and the image acquired by the image acquisition unit on the corresponding positioning information into a data packet; and transmitting the data packet to a data analysis end;
and the data analysis end performs comparison analysis on the data transmitted by the data acquisition end to obtain the natural resource distribution condition.
2. The natural resource comprehensive survey information extraction system as claimed in claim 1, wherein the data analysis terminal includes an analysis unit, a model database and a real-time database;
the model database is used for storing each comparison model;
the real-time database is used for storing data acquired by the data acquisition end;
the analysis unit analyzes the data collected by the data collection end based on the comparison between the data collected by the data collection end and the model in the model database, and confirms the distribution condition of natural resources.
3. The natural resource comprehensive investigation information extraction system according to claim 2, wherein a determination module is provided in the data analysis end; the judging module obtains the positioning information in the returned data packet by analyzing the returned data packet, and judges whether the data acquisition place is correct or not based on the preset data acquisition position information.
4. The system according to claim 1, wherein the image includes a video and a photograph.
5. A natural resource comprehensive survey information extraction method is characterized by comprising the following steps:
step 1: the positioning module positions a current acquisition position, and plans an acquisition area by taking the current positioning point as a circle center and r as a radius;
step 2: the data acquisition end executes acquisition work, and the data acquired in the same area and the data of the acquisition area determined in the step 1 are packaged and sent to the data analysis end;
and step 3: after the data analysis end analyzes and receives the data packet transmitted by the data acquisition end, analyzing the data packet to acquire image information in the data packet;
and 4, step 4: analyzing river distribution, vegetation information and urban distribution information in the image information based on the convolutional neural network by taking the comparison model as a reference;
and 5: and determining and storing river distribution condition, vegetation information and city layout information.
6. The natural resource comprehensive survey information extraction method according to claim 5, wherein the step 3 includes the steps of:
step 3.1: after the data analysis end analyzes the received data packet transmitted by the data acquisition end, the data analysis end analyzes the data packet to acquire the positioning information in the data packet;
step 3.2: comparing the positioning information acquired in the step 3.1 with preset acquisition point information, and if the positioning information is consistent with the preset acquisition point information, performing the step 3.3; if the comparison is inconsistent, sending error information to the data acquisition end, and sending correct acquisition point information to the data acquisition end; the data acquisition end returns to execute the step 1 according to the updated acquisition point;
step 3.3: and the data acquisition end acquires the image information of the corresponding acquisition point by analyzing the data packet.
7. The natural resource comprehensive survey information extraction method according to claim 5, wherein the city distribution information and the river distribution information in step 4 are determined according to a positioning module.
8. The natural resource comprehensive investigation information extraction method according to claim 7, characterized in that step 4 further comprises mountain distribution information and farmland distribution information, and the mountain and farmland distribution information are determined by a positioning module.
9. The method as claimed in claim 8, wherein the city, river, mountain and farmland distribution information is further confirmed by performing image analysis based on convolutional network neural network.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114595192A (en) * | 2022-03-10 | 2022-06-07 | 青海省地质调查院 | Intelligent data real-time gathering method and system suitable for regional geological survey |
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| CN110726398A (en) * | 2019-10-22 | 2020-01-24 | 浙江煤炭测绘院有限公司 | Method for positioning remote sensing mapping image of natural resource |
| CN111782712A (en) * | 2020-07-02 | 2020-10-16 | 云南省地图院 | Natural resource asset audit comprehensive space analysis system and method |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109270853A (en) * | 2018-09-14 | 2019-01-25 | 南京理工技术转移中心有限公司 | A kind of working method of intelligent ecological Water Management System |
| CN110726398A (en) * | 2019-10-22 | 2020-01-24 | 浙江煤炭测绘院有限公司 | Method for positioning remote sensing mapping image of natural resource |
| CN111782712A (en) * | 2020-07-02 | 2020-10-16 | 云南省地图院 | Natural resource asset audit comprehensive space analysis system and method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114595192A (en) * | 2022-03-10 | 2022-06-07 | 青海省地质调查院 | Intelligent data real-time gathering method and system suitable for regional geological survey |
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Application publication date: 20211224 |