Data preparation method and device before field investigation, medium and electronic equipment

Abstract

The invention provides a data preparation method and device before field investigation, a medium and electronic equipment, and the method comprises the steps: inputting a field investigation project document into an analysis model to obtain an analysis result; based on the analysis result, performing retrieval in an image-text database to obtain a related site distribution diagram corresponding to the target analysis area range within the demand data time limit range; based on the analysis result, performing retrieval in a thematic database to obtain vector data conforming to the demand data site type, the target analysis area range and the demand data time limit range; importing the vector data into a map automatic processing system to generate a compiled map corresponding to the field investigation project; and adding the related site distribution map and the vector data to a compiled map to obtain a data map document corresponding to the field investigation project. The work efficiency of data preparation before field scientific investigation is improved, the work efficiency in a complex environment is improved, and smooth development of field investigation work is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of geological technology, and in particular to a method, device, medium and electronic equipment for preparing data before field investigation. Background Art

[0002] Geological field scientific investigations often involve vast areas and rich subject matter. From a geographical perspective, the investigation may cover multiple levels such as topography, geological structure, and climate type. Each level contains a vast amount of information. In the field of natural resources, the distribution, reserves, and mining difficulty of mineral resources, the types, coverage, and growth status of forest resources, the quality and distribution patterns of water resources are all key points that need to be paid attention to in the investigation. The resource conditions in different regions vary greatly, and the ecology is even more complicated. These complex and diverse expected data needs are intertwined and need to be collected from different channels and using a variety of methods, which brings great challenges to the preliminary preparations for the investigation.

[0003] During field investigations, investigators may encounter a variety of emergencies and complex problems. Faced with complex terrain changes, they need to accurately judge their impact on subsequent investigation routes and work progress. However, in field environments, network signals are often unstable or even missing, and it is unrealistic to carry large amounts of paper materials. This makes it extremely difficult to obtain professional knowledge on site, which may cause the investigation work to stagnate and miss the best research opportunity. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, medium and electronic equipment for preparing data before field investigation to improve the above-mentioned problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the embodiment of the present invention is as follows:

[0006] In a first aspect, an embodiment of the present invention provides a method for preparing data before a field survey, the method comprising:

[0007] Inputting the field survey project documents into the analysis model to obtain analysis results; wherein the analysis results include the type of required data site, the target analysis area range, and the required data time limit range;

[0008] Based on the analysis results, a search is performed in a graphic database to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data; wherein the site type of the relevant site distribution map is the same as the site type of the demand data;

[0009] Based on the analysis results, searching in the subject database to obtain vector data that meets the type of site for the required data, the scope of the target analysis area, and the time limit of the required data;

[0010] Importing the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project;

[0011] The relevant site distribution map and the vector data are added to the compiled map to obtain a data map document corresponding to the field investigation project.

[0012] Optionally, after adding the relevant site distribution map and the vector data to the compiled map to obtain a data map document corresponding to the field investigation project, the method further includes:

[0013] The data map document is uploaded to the target server for downloading by the terminals of the field investigation project team members to achieve the purpose of offline reference.

[0014] Optionally, the method further comprises: when receiving a download request transmitted by a field survey project team member terminal, the target server determines whether the field survey project team member terminal has the download authority corresponding to the field survey project according to the identification information of the download terminal and the identification information of the field survey project, and if so, feeds back the data map document corresponding to the field survey project to the field survey project team member terminal for offline reference by the field survey project team members;

[0015] The download request includes identification information of the download terminal and identification information of the field investigation project.

[0016] Optionally, before inputting the field survey project document into the analysis model to obtain the analysis result, the method further includes:

[0017] Identify and remove sensitive information from field project documents based on pre-configured sensitive information identification rules.

[0018] Optionally, the step of searching in a graphic database based on the analysis result to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data includes:

[0019] Generate a search strategy based on the site type of the demand data, the target analysis area range, and the time limit range of the demand data;

[0020] Input the search strategy into the graphic database to obtain an initial distribution map of relevant sites;

[0021] The credibility of the initial related site distribution map is evaluated, and the related site distribution map with a credibility lower than the credibility threshold is deleted, and the related site distribution map with a credibility higher than or equal to the credibility threshold is retained.

[0022] Optionally, the step of searching in a thematic database based on the analysis result to obtain vector data that meets the site type of the required data, the target analysis area range, and the time limit range of the required data includes:

[0023] Sending an authorization application request to the subject database, wherein the authorization application request includes applicant information, the type of the required data site, the target analysis area range, and the required data time limit range; so that the subject database determines whether it has access rights according to the applicant information, and if it has access rights, feedbacks vector data that meets the type of the required data site, the target analysis area range, and the required data time limit range;

[0024] Check whether there is any problem data in the vector data, and if so, send a data repair request to the subject database, wherein the data repair request includes identification information of the problem data, and the problem data is vector data with abnormal values ​​and / or missing values;

[0025] Receive replacement vector data or repaired vector data corresponding to the problem data fed back by the subject database.

[0026] Optionally, before importing the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project, the method further includes:

[0027] The vector data is formatted so that the geographic coordinate system of the converted vector data is the same as the geographic coordinate system used by the map automation processing system and has the same accuracy.

[0028] In a second aspect, an embodiment of the present invention provides a device for preparing data before field investigation, the device comprising:

[0029] A first processing unit is used to input the field investigation project document into the analysis model to obtain an analysis result; wherein the analysis result includes the type of the required data site, the target analysis area range and the required data time limit range;

[0030] The first processing unit is further used to search in a graphic database based on the analysis result to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data; wherein the site type of the relevant site distribution map is the same as the site type of the demand data;

[0031] The first processing unit is further used to search in a thematic database based on the analysis result to obtain vector data that meets the type of the required data site, the target analysis area range, and the required data time limit range;

[0032] The first processing unit is also used to import the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project;

[0033] The second processing unit is used to add the relevant site distribution map and the vector data to the compiled map to obtain a data map document corresponding to the field investigation project.

[0034] In a third aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon, and the computer program implements the above method when executed by a processor.

[0035] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory is used to store one or more programs; when the one or more programs are executed by the processor, the above method is implemented.

[0036] Compared with the prior art, the embodiments of the present invention provide a method, device, medium and electronic device for preparing data before field investigation, which inputs the field investigation project document into the analysis model to obtain the analysis result; wherein the analysis result includes the type of site of the required data, the scope of the target analysis area and the time limit of the required data; based on the analysis result, a search is performed in the graphic database to obtain the relevant site distribution map corresponding to the target analysis area within the time limit of the required data; wherein the site type of the relevant site distribution map is the same as the site type of the required data; based on the analysis result, a search is performed in the subject database to obtain vector data that meets the type of site of the required data, the scope of the target analysis area and the time limit of the required data; the vector data is imported into the map automation processing system to generate a compiled map corresponding to the field investigation project; the relevant site distribution map and the vector data are added to the compiled map to obtain the data map document corresponding to the field investigation project. Basic data and customized maps can be downloaded with one click to improve the efficiency of data preparation before field scientific expeditions. The data carefully prepared before field investigations will play a key role when conducting actual scientific expeditions in remote areas without Internet access. For example, weather station data can help predict weather changes, river and lake distribution information can help plan investigation routes, and animal and plant distribution can guide ecological surveys. These basic materials and guiding information effectively improve work efficiency in complex environments and ensure the smooth progress of field investigations. It can not only improve the efficiency and quality of field investigations, but also promote the innovative development of earth science investigations. By better supporting earth science investigations, it can inject new vitality into earth science and technology innovation, and thus contribute valuable scientific strength to economic and social development decisions.

[0037] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0040] Figure 2 One of the flow charts of the method for preparing data before field investigation provided by an embodiment of the present invention.

[0041] Figure 3The second flowchart of the method for preparing data before field investigation provided by the embodiment of the present invention.

[0042] Figure 4 A schematic diagram of a unit of a device for preparing data before field investigation provided by an embodiment of the present invention.

[0043] In the figure: 10 - processor; 11 - memory; 12 - bus; 13 - communication interface; 301 - first processing unit; 302 - second processing unit. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0045] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0047] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0048] In the description of the present invention, it should be noted that the terms "upper", "lower", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, or are directions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0049] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "disposed" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0051] With the development of the times, the vigorous rise of artificial intelligence, especially natural language processing (NLP) and large model technology, has brought unprecedented new development opportunities for the informatization, digitization and intelligence of field scientific expeditions. These advanced technologies have powerful data analysis and knowledge mining capabilities, and can extract valuable information from massive, complex and disordered data, providing new ideas and methods for solving difficult problems in traditional field scientific expeditions.

[0052] On this basis, the embodiment of the present invention provides a method for preparing data before field investigation, which can download basic data and customized maps with one click, improve the efficiency of data preparation before field investigation, and through the data carefully prepared before field investigation, when conducting actual scientific investigation in remote areas without network, these data will play a key role. For example, weather station data can help predict weather changes, river and lake distribution information can help plan investigation routes, and animal and plant distribution can guide ecological investigation work. These basic materials and guiding information effectively improve the work efficiency in complex environments and ensure the smooth development of field investigation work. It can not only improve the efficiency and quality of field investigation, but also promote the innovative development of earth science investigation work, inject new vitality into earth science and technology innovation by better supporting earth science investigation work, and thus contribute valuable scientific power to economic and social development decision-making.

[0053] An embodiment of the present invention provides an electronic device, which may be a mobile phone device, a computer device, or a server device. Figure 1, a schematic diagram of the structure of an electronic device. The electronic device includes a processor 10, a memory 11, and a bus 12. The processor 10 and the memory 11 are connected via the bus 12, and the processor 10 is used to execute an executable module stored in the memory 11, such as a computer program.

[0054] The processor 10 may be an integrated circuit chip having the ability to process signals. In the implementation process, each step of the method for preparing data before field investigation may be completed by an integrated logic circuit of hardware in the processor 10 or by instructions in the form of software. The above-mentioned processor 10 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, or discrete hardware components.

[0055] The memory 11 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0056] The bus 12 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus. Figure 1 Although only one bidirectional arrow is used in the figure, it does not mean that there is only one bus 12 or only one type of bus 12 .

[0057] The memory 11 is used to store programs, such as programs corresponding to the device for preparing data before field surveys. The device for preparing data before field surveys includes at least one software function module that can be stored in the memory 11 in the form of software or firmware or fixed in the operating system (OS) of the electronic device. After receiving the execution instruction, the processor 10 executes the program to implement the method for preparing data before field surveys.

[0058] Possibly, the electronic device provided by the embodiment of the present invention further includes a communication interface 13. The communication interface 13 is connected to the processor 10 via a bus.

[0059] It should be understood that Figure 1 The structure shown is only a schematic diagram of a portion of the electronic device. The electronic device may also include Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown. Figure 1 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0060] A method for preparing data before field investigation provided by an embodiment of the present invention can be applied to, but not limited to, Figure 1 For detailed procedures, please refer to the electronic equipment shown in Figure 2 ,The data preparation methods before field investigation include : S12, S13, S14, S16 and S17, which are described as follows.

[0061] S12, inputting the field investigation project documents into the analysis model to obtain analysis results.

[0062] The analysis results include the type of demand data site, the target analysis area range, and the time limit range of the demand data.

[0063] Field survey related documents include the time information, spatial information, corresponding disciplines and task directions of field survey tasks, where the task directions can be but are not limited to vegetation surveys, soil surveys, animal surveys and glacier surveys, etc. The analysis model uses the ChatGPT artificial intelligence model and / or the NLP natural language processing model. The time information of the field survey task corresponds to the time limit range of the required data, the spatial information of the field survey task corresponds to the target analysis area range, and the disciplines and task directions corresponding to the field survey task correspond to the required data site type.

[0064] It should be noted that if ChatGPT is used, attention should be paid to its version and parameter settings. For NLP models, appropriate pre-trained models should be selected or targeted training should be conducted according to the subject characteristics of the investigation project (such as geology, ecology, etc.) to improve the accuracy of the analysis.

[0065] S13, based on the analysis results, searching in the graphic database to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the required data.

[0066] The site type of the relevant site distribution map is the same as the site type of the demand data. The graphic database includes but is not limited to the CNKI journal database and the statistical yearbook database, and the relevant site distribution map includes but is not limited to the meteorological site distribution map, the hydrological site distribution map, etc.

[0067] Optionally, S13, based on the analysis results, searching in the graphic database to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the required data, includes: S131, S132 and S133, which are specifically described as follows.

[0068] S131, generating a search strategy based on the site type of the required data, the target analysis area range, and the time limit range of the required data.

[0069] The search strategy may be, but is not limited to, a search term vector.

[0070] S132, input the search strategy into the graphic database to obtain an initial distribution map of related sites.

[0071] S133, performing credibility evaluation on the initial related site distribution map, deleting the related site distribution map with a credibility lower than a credibility threshold, and retaining the related site distribution map with a credibility higher than or equal to the credibility threshold.

[0072] It should be understood that the source of the retrieved relevant site distribution map (literature data) should be evaluated, and priority should be given to literature from high-quality sources such as authoritative academic journals and official statistical yearbooks. Data with unknown sources or low credibility should be used with caution to avoid affecting subsequent analysis. When downloading literature data, attention should be paid to the compatibility of file formats and the clarity of storage paths to ensure that the downloaded files are complete and undamaged.

[0073] S14, based on the analysis results, searching in the subject database to obtain vector data that meets the required data site type, target analysis area range and required data time limit range.

[0074] The subject database may be, but is not limited to, China Science and Technology Resource Sharing Network. The vector data corresponding to the required data site type includes, but is not limited to, climate condition vector data and terrain vector data.

[0075] Optionally, S14, based on the analysis results, searching in the subject database to obtain vector data that meets the required data site type, target analysis area range and required data time limit range, includes:

[0076] S141, sending an authorization application request to the subject database.

[0077] Among them, the authorization application request includes the applicant's information, the type of required data site, the target analysis area range and the required data time limit range; so that the thematic database determines whether it has access rights based on the applicant's information, and if it has access rights, it will feedback vector data that meets the type of required data site, the target analysis area range and the required data time limit range.

[0078] When accessing the China Science and Technology Resource Sharing Network, you must ensure that you have legal access rights. Some data may require specific authorization or meet certain usage conditions, and relevant procedures must be completed in advance.

[0079] S142, checking whether there is any problem data in the vector data, and if so, sending a data repair request to the subject database, wherein the data repair request includes identification information of the problem data, and the problem data is vector data with abnormal values ​​and / or missing values.

[0080] S143, receiving replacement vector data or repaired vector data corresponding to the problem data fed back by the subject database.

[0081] S16, importing the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project.

[0082] S17, adding the relevant site distribution map and vector data to the compiled map to obtain a data map document corresponding to the field survey project.

[0083] Optionally, relevant site distribution maps can be added to the compiled map according to site types to facilitate subsequent search and use. At the same time, key information of the relevant site distribution maps should be recorded, such as title, author, source, download time, etc.

[0084] Please refer to Figure 3 In an optional implementation, after adding the relevant site distribution map and vector data to the compiled map to obtain the data map document corresponding to the field survey project, the method for preparing data before the field survey also includes: S18, which is specifically described as follows.

[0085] S18, uploading the data map document to the target server for downloading by the terminals of the field investigation project team members to achieve the purpose of offline reference.

[0086] The compiled maps including relevant site distribution maps and vector data will be stored on the server to facilitate one-click downloading by field survey team members, ensuring that team members can obtain comprehensive information before the field survey. The download permissions of field survey team members should be reasonably set to ensure that only authorized personnel can access and download the information based on the roles and needs of the members. At the same time, the scope of use and confidentiality requirements of the information should be clearly informed to prevent improper dissemination of the information.

[0087] In an optional implementation, the method for preparing data before field investigation further includes: S21, S22 and S23, as follows.

[0088] S21, when receiving a download request transmitted by a field survey project team member terminal, the target server determines whether the field survey project team member terminal has the download authority corresponding to the field survey project according to the identification information of the download terminal and the identification information of the field survey project. If yes, S22 is executed; if no, S23 is executed.

[0089] If available, then S22, the data map document corresponding to the field investigation project is fed back to the field investigation project team member terminal for offline reference by the field investigation project team members.

[0090] The download request includes identification information of the download terminal and identification information of the field investigation project.

[0091] S23, feedback reminder of lack of permission.

[0092] Please continue to refer to Figure 3 In an optional implementation, before inputting the field investigation project document into the analysis model to obtain the analysis result, the method for preparing data before the field investigation further includes: S11, which is specifically described as follows.

[0093] S11, based on pre-configured sensitive information identification rules, identify and delete sensitive information in field survey project documents.

[0094] It should be understood that imported project applications and task orders may contain sensitive information. To ensure data security during the use of the model and prevent information leakage, when using third-party model services, it is necessary to confirm whether their data processing and privacy protection policies meet the requirements.

[0095] Please continue to refer to Figure 3 In an optional implementation, before the vector data is imported into the map automation processing system to generate a compiled map corresponding to the field survey project, the method for preparing data before the field survey also includes: S15, which is specifically described as follows.

[0096] S15, converting the format of the vector data so that the geographic coordinate system of the converted vector data is the same as the geographic coordinate system used by the map automation processing system, and the accuracy is consistent.

[0097] The map automation processing system may be, but is not limited to, an ArcGIS map automation processing system.

[0098] When importing thematic data into the ArcGIS map automation processing system, ensure the compatibility of the data format. If the data format does not match, data conversion may be required. During this process, pay attention to maintaining data accuracy to avoid data distortion due to conversion. Ensure that the geographic coordinate system used for thematic data and map compilation is consistent. If there is an inconsistency, coordinate conversion must be performed, and the errors in the conversion process must be evaluated and controlled to prevent position deviations of geographic elements on the map.

[0099] See also Figure 4 , Figure 4 An embodiment of the present invention provides a device for preparing data before a field survey. Optionally, the device for preparing data before a field survey is applied to the electronic device described above.

[0100] The device for preparing data before field investigation includes: a first processing unit 301 and a second processing unit 302, which are described in detail as follows.

[0101] The first processing unit 301 is used to input the field investigation project document into the analysis model to obtain the analysis result; wherein the analysis result includes the type of the required data site, the target analysis area range and the required data time limit range;

[0102] The first processing unit 301 is also used to search in the graphic database based on the analysis result to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data; wherein the site type of the relevant site distribution map is the same as the site type of the demand data;

[0103] The first processing unit 301 is also used to search in the subject database based on the analysis result to obtain vector data that meets the required data site type, target analysis area range and required data time limit range;

[0104] The first processing unit 301 is also used to import the vector data into the map automation processing system to generate a compiled map corresponding to the field survey project;

[0105] The second processing unit 302 is used to add the relevant site distribution map and vector data to the compiled map to obtain a data map document corresponding to the field investigation project.

[0106] Optionally, the second processing unit 302 is used to execute the above S17, and the first processing unit 301 is used to execute other steps in the above method.

[0107] It should be noted that the pre-field investigation data preparation device provided in this embodiment can execute the method flow shown in the above method flow embodiment to achieve the corresponding technical effect. For the sake of brief description, for parts not mentioned in this embodiment, reference can be made to the corresponding contents in the above embodiment.

[0108] The embodiment of the present invention further provides a storage medium, which stores computer instructions and programs, and when the computer instructions and programs are read and run, the method for preparing data before field investigation in the above embodiment is executed. The storage medium may include a memory, a flash memory, a register, or a combination thereof.

[0109] The following provides an electronic device, which may be a mobile phone device, a computer device, or a server device. Figure 1 As shown, the above-mentioned method for preparing data before field investigation can be implemented; specifically, the electronic device includes: a processor 10, a memory 11, and a bus 12. The processor 10 can be a CPU. The memory 11 is used to store one or more programs. When the one or more programs are executed by the processor 10, the method for preparing data before field investigation in the above-mentioned embodiment is executed.

[0110] In summary, an embodiment of the present invention provides a method, device, medium and electronic device for preparing data before field investigation, which inputs a field investigation project document into an analysis model to obtain an analysis result; wherein the analysis result includes a site type of required data, a target analysis area range and a time limit range of required data; based on the analysis result, a search is performed in a graphic database to obtain a relevant site distribution map corresponding to the target analysis area range within the time limit range of required data; wherein the site type of the relevant site distribution map is the same as the site type of the required data; based on the analysis result, a search is performed in a thematic database to obtain vector data that meets the site type of required data, the target analysis area range and the time limit range of required data; the vector data is imported into a map automation processing system to generate a compiled map corresponding to the field investigation project; the relevant site distribution map and the vector data are added to the compiled map to obtain a data map document corresponding to the field investigation project. Basic data and customized maps can be downloaded with one click to improve the efficiency of data preparation before field scientific expeditions. The data carefully prepared before field investigations will play a key role when conducting actual scientific expeditions in remote areas without Internet access. For example, weather station data can help predict weather changes, river and lake distribution information can help plan investigation routes, and animal and plant distribution can guide ecological surveys. These basic materials and guiding information effectively improve work efficiency in complex environments and ensure the smooth progress of field investigations. It can not only improve the efficiency and quality of field investigations, but also promote the innovative development of earth science investigations. By better supporting earth science investigations, it can inject new vitality into earth science and technology innovation, and thus contribute valuable scientific strength to economic and social development decisions.

[0111] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0112] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for preparing data before field investigation, characterized in that: The method comprises: Inputting the field survey project documents into the analysis model to obtain analysis results; wherein the analysis results include the type of required data site, the target analysis area range, and the required data time limit range; Based on the analysis results, a search is performed in a graphic database to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data; wherein the site type of the relevant site distribution map is the same as the site type of the demand data; Based on the analysis results, searching in the subject database to obtain vector data that meets the type of site for the required data, the scope of the target analysis area, and the time limit of the required data; Importing the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project; The relevant site distribution map and the vector data are added to the compiled map to obtain a data map document corresponding to the field investigation project.

2. The method for preparing data before field investigation according to claim 1, characterized in that: After adding the relevant site distribution map and the vector data to the compiled map to obtain a data map document corresponding to the field investigation project, the method further includes: The data map document is uploaded to the target server for downloading by the terminals of the field survey project team members to achieve the purpose of offline reference.

3. The method for preparing data before field investigation according to claim 2, characterized in that: The method further comprises: When receiving the download request transmitted by the field survey project team member terminal, the target server determines whether the field survey project team member terminal has the download authority corresponding to the field survey project according to the identification information of the download terminal and the identification information of the field survey project. If yes, the target server feeds back the data map document corresponding to the field survey project to the field survey project team member terminal for offline reference by the field survey project team members. The download request includes identification information of the download terminal and identification information of the field investigation project.

4. The method for preparing data before field investigation according to claim 1, characterized in that: Before inputting the field survey project document into the analysis model to obtain the analysis result, the method further includes: Identify and remove sensitive information from field project documents based on pre-configured sensitive information identification rules.

5. The method for preparing data before field investigation according to claim 1, characterized in that: The step of searching in a graphic database based on the analysis result to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data includes: Generate a search strategy based on the site type of the demand data, the target analysis area range, and the time limit range of the demand data; Input the search strategy into the graphic database to obtain an initial distribution map of relevant sites; The credibility of the initial related site distribution map is evaluated, and the related site distribution map with a credibility lower than the credibility threshold is deleted, and the related site distribution map with a credibility higher than or equal to the credibility threshold is retained.

6. The method for preparing data before field investigation according to claim 1, characterized in that: The step of searching in a thematic database based on the analysis result to obtain vector data that meets the site type of the required data, the target analysis area range, and the time limit range of the required data includes: Sending an authorization application request to the subject database, wherein the authorization application request includes applicant information, the type of the required data site, the target analysis area range, and the required data time limit range; so that the subject database determines whether it has access rights according to the applicant information, and if it has access rights, feedbacks vector data that meets the type of the required data site, the target analysis area range, and the required data time limit range; Check whether there is any problem data in the vector data, and if so, send a data repair request to the subject database, wherein the data repair request includes identification information of the problem data, and the problem data is vector data with abnormal values ​​and / or missing values; Receive replacement vector data or repaired vector data corresponding to the problem data fed back by the subject database.

7. The method for preparing data before field investigation according to claim 1, characterized in that: Before the vector data is imported into the map automation processing system to generate a compiled map corresponding to the field survey project, the method further includes: The vector data is formatted so that the geographic coordinate system of the converted vector data is the same as the geographic coordinate system used by the map automation processing system and has the same accuracy.

8. A device for preparing data before field investigation, characterized in that: The device comprises: A first processing unit is used to input the field investigation project document into the analysis model to obtain an analysis result; wherein the analysis result includes the type of the required data site, the target analysis area range and the required data time limit range; The first processing unit is further used to search in a graphic database based on the analysis result to obtain a relevant site distribution map corresponding to the target analysis area within the time limit of the demand data; wherein the site type of the relevant site distribution map is the same as the site type of the demand data; The first processing unit is further used to search in a thematic database based on the analysis result to obtain vector data that meets the type of the required data site, the target analysis area range, and the required data time limit range; The first processing unit is also used to import the vector data into a map automation processing system to generate a compiled map corresponding to the field survey project; The second processing unit is used to add the relevant site distribution map and the vector data to the compiled map to obtain a data map document corresponding to the field investigation project.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A processor and a memory, the memory being used to store one or more programs; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 7 is implemented.

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