Field geological data acquisition method and device based on artificial intelligence

Abstract

The invention provides a field geological data acquisition method and device based on artificial intelligence, and the method comprises the steps: connecting an intelligent acquisition terminal and an RTK positioning terminal, loading a working area map, planning an optimal hole-placing route, broadcasting a task list, reading the current hole position coordinate through the RTK positioning terminal after a hole position measuring point is reached, storing the current hole position coordinate in an acquisition form, and completing the hole position measurement. Corresponding hole position numbers and positioning time are generated; geological data of the current hole site are collected, a corresponding template or voice is selected to record stratum lithology description, the stratum lithology description is converted into structured data, and the structured data are stored in a collection form to which the current hole site belongs; a rock stratum picture of the current hole position is obtained and recognized, a rock stratum recognition result is obtained, and comparison verification is conducted on the rock stratum recognition result and the corresponding rock stratum picture in the database; and if the rock stratum photos are matched, the verification is passed, and the acquisition form is synchronized to the cloud platform in real time. The geological data acquisition efficiency and accuracy can be improved, and fusion, cloud storage and intelligent analysis of multi-source data are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological exploration, and in particular to a field geological data acquisition method and device based on artificial intelligence. BACKGROUND

[0002] The existing field data acquisition mainly adopts paper records and manual input methods, but such traditional methods are not only inefficient, but also prone to loss of key data. In terms of data management, various types of data generated during the exploration process are stored in different systems and media, which cannot form a unified and complete data system, bringing many inconveniences to subsequent data application. In the result delivery link, paper reports are commonly used, which requires a large amount of manpower to re-enter data for subsequent analysis and modeling work, and the data utilization rate is low. At the same time, professional drawings such as engineering geological profile and drilling columnar graph completely rely on manual drawing, which greatly increases the workload of indoor work. In addition, each link of the project implementation is isolated from each other, and there is a lack of effective data flow mechanism between field collection, laboratory testing and project management, which directly affects the overall implementation efficiency and quality of the project.

[0003] Therefore, there is an urgent need for a field geological data acquisition method that can improve the efficiency and accuracy of field geological data acquisition and realize multi-source data fusion and intelligent analysis. SUMMARY

[0004] Therefore, there is an urgent need for a field geological data acquisition method that can improve the efficiency and accuracy of field geological data acquisition and realize multi-source data fusion and intelligent analysis.

[0005] A field geological data acquisition method based on artificial intelligence, comprising the following steps: connecting an intelligent acquisition terminal and an RTK positioning terminal, loading an optimal hole placement route through the intelligent acquisition terminal, and broadcasting a task list; after reaching the hole site according to the optimal hole placement route, reading the current hole site coordinates using the RTK positioning terminal, storing them in a collection form, and generating a corresponding hole number and positioning time; collecting geological data of the current hole site, selecting a corresponding template stratum lithology description or voice input stratum lithology description according to the geological data, converting the stratum lithology description into structured data, and storing it in the collection form to which the current hole site belongs; obtaining a rock layer photo and identifying it to obtain a rock layer identification result, and comparing and verifying it with the corresponding rock layer photo in the database; if the rock layer identification result matches the corresponding rock layer photo in the database, the verification is passed, and the collection form is synchronized to the cloud platform in real time.

[0006] In one of the embodiments, before the optimal hole placement route is loaded by the intelligent acquisition terminal, the RTK positioning terminal is connected, and the task list is broadcast, it further comprises: creating a project through a project management platform, and inputting project basic information, wherein the project basic information comprises address, survey purpose and designed hole number; logging in application software through the intelligent acquisition terminal, and synchronizing project information, wherein the project information comprises project ID, person in charge and construction period.

[0007] In one of the embodiments, after reaching the hole site measurement point according to the optimal hole placement route, the RTK positioning terminal is used to read the current hole site coordinates, store them into the collection form, and generate the corresponding hole site number and positioning time, which comprises: reaching the hole site measurement point according to the optimal hole placement route, using the RTK positioning terminal to read the current hole site coordinates, and comparing them with the planned hole site coordinates in the optimal hole placement route to obtain hole site deviation, wherein the optimal hole placement route comprises planned hole number, hole site number and planned hole site coordinates corresponding to each hole site number; if the hole site deviation is less than a preset threshold, it indicates that the positioning is successful, the current hole site coordinates are stored into the collection form, and the corresponding hole site number and positioning time are generated; if the hole site deviation is greater than the preset threshold, it indicates that the positioning fails, the positioning point of the current position is adjusted, and the RTK positioning terminal is used to read the current hole site coordinates again until the hole site deviation is less than the preset threshold.

[0008] In one of the embodiments, after the collection form is synchronized to the cloud platform in real time, it further comprises: using a distributed database to store the multi-source heterogeneous collection form; performing abnormality detection on the collection data in the collection form to determine whether the hole site coordinates and sampling rate meet the requirements, if yes, associating the collection data with spatial data, attribute data and media data; if no, marking the corresponding collection data with a to-be-reviewed label; after the review is completed, calling a symbol library, drawing a graph according to the collection data in the collection form to obtain a geological data graph; calling a drawing module, importing a drilling map, identifying topographic lines and stratigraphic lines and mapping them as editable elements, generating a standard geological map, and pushing the standard geological map and the geological data graph to a business system.

[0009] The application discloses an artificial intelligence-based field geological data acquisition device for realizing an artificial intelligence-based field geological data acquisition method, and relates to the technical field of geological data acquisition.

[0010] In one embodiment, the cloud platform is in communication connection with the intelligent acquisition terminal, and is used for storing multi-source heterogeneous acquisition forms by using a distributed database; the acquisition data in the acquisition form is subjected to abnormality detection, it is judged whether the hole position coordinates and the sampling rate meet the requirements, if the requirements are met, the acquisition data is associated with spatial data, attribute data and media data; if the requirements are not met, the corresponding acquisition data is marked with a to-be-reviewed mark; after the review is completed, a symbol library is called, a graph is drawn according to the acquisition data in the acquisition form, and a geological data graph is obtained; a drawing module is called, a drilling map is imported, a terrain line and a stratum line are identified and mapped into editable elements, a standard geological map is generated, and the geological data graph is pushed to a business system.

[0011] Compared with the prior art, the advantages and beneficial effects of the present application are that: by connecting the intelligent acquisition terminal and the RTK positioning terminal, the optimal hole placement route is obtained by loading the work area map planning, and the task list is broadcasted, so as to facilitate the geological data acquisition according to the optimal hole placement route; after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal is used to read the current hole coordinate, which is stored in the acquisition form, and the corresponding hole number and positioning time are generated, which greatly improves the positioning efficiency; the geological data of the current hole is collected, the corresponding template stratum lithology description is selected according to the geological data or the stratum lithology description is input by voice, the stratum lithology description is converted into structured data, and is stored in the acquisition form to which the current hole belongs, which improves the geological data acquisition efficiency and ensures the accuracy of the lithology description; after the geological data is collected, the rock layer photo of the current hole is obtained and recognized, the rock layer recognition result is obtained, and is compared and verified with the corresponding rock layer photo in the database, so as to ensure the accuracy and reliability of the rock layer recognition result; when the rock layer recognition result matches the corresponding rock layer photo in the database, the verification is passed, the acquisition form is synchronized to the cloud platform in real time, the geological data is saved through the cloud platform to improve the data security, so as to improve the geological data acquisition efficiency and facilitate the data integration and sharing. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 It is a flowchart of a kind of field geological data acquisition method based on artificial intelligence in one embodiment;

[0013] Figure 2 It is a structure schematic diagram of a kind of field geological data acquisition equipment based on artificial intelligence in one embodiment;

[0014] Figure 3 It is a system architecture diagram of a kind of field geological data acquisition equipment based on artificial intelligence in one embodiment. DETAILED DESCRIPTION

[0015] Before the specific embodiment of the present application is described, the overall concept of the present application is described as follows:

[0016] The present application is mainly developed based on the process of geological survey, and the collection efficiency and accuracy of the present geological survey cannot be guaranteed, and there is the problem of data island.

[0017] Therefore, the present application proposes an artificial intelligence-based field geological data collection method, which connects an intelligent collection terminal and an RTK positioning terminal, loads a work area map to plan an optimal hole placement route, and broadcasts a task list, so as to collect geological data according to the optimal hole placement route; after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal is used to read the current hole point coordinates, which are stored in a collection form, and the corresponding hole number and positioning time are generated, greatly improving the positioning efficiency; geological data of the current hole point is collected, the stratum lithology description corresponding to the selected template is selected or the stratum lithology description is input by voice, the stratum lithology description is converted into structured data, and is stored in the collection form to which the current hole point belongs, improving the geological data collection efficiency and ensuring the accuracy of the lithology description; after collecting the geological data, the rock layer photo of the current hole point is obtained and recognized to obtain a rock layer recognition result, which is compared and verified with the corresponding rock layer photo in the database to ensure the accuracy and reliability of the rock layer recognition result; when the rock layer recognition result matches the corresponding rock layer photo in the database, the collection form is synchronized to the cloud platform in real time, the geological data is saved through the cloud platform to improve the data security, so as to improve the geological data collection efficiency and facilitate data integration and sharing.

[0018] After introducing the overall concept of the present application, in order to make the purpose, technical scheme and advantages of the present application more clear and explicit, the present application will be further described in detail through specific embodiments combined with the drawings. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0019] In one embodiment, as shown in Figure 1 An artificial intelligence-based field geological data method is provided, comprising the following steps:

[0020] Step S110, connecting an intelligent collection terminal and an RTK positioning terminal, loading a work area map through the intelligent collection terminal to plan an optimal hole placement route, and broadcasting a task list.

[0021] Specifically, the intelligent collection terminal and the RTK (Real-Time Kinematic, real-time differential positioning) positioning terminal are connected, and wireless connection methods such as Bluetooth connection can be used during connection; the map of the project work area is loaded through the intelligent collection terminal, and the task list is broadcasted through the intelligent collection terminal according to the pre-designed task list, the optimal hole placement route is planned according to the task list, so as to collect geological data according to the optimal hole placement route; the hole point coordinates are obtained through the RTK positioning terminal and transmitted to the intelligent collection terminal, realizing automatic reading and input of coordinate data, fusing traditional positioning accuracy (millimeter level) and informationization process, and greatly improving positioning efficiency.

[0022] In addition, the AI voice assistant can be awakened through the smart Internet of Things, voice-to-text recording can be realized, and early warning and broadcast of weather / disasters can be realized, thereby improving the convenience of operation and reducing the safety risk of field operation.

[0023] Before step S110, the method further includes: creating a project through the project management platform, and inputting project basic information, the project basic information including an address, a survey purpose, and a design hole number; and logging in to application software through the intelligent acquisition terminal, and synchronizing project information, the project information including a project ID, a person in charge, and a construction period.

[0024] Specifically, the administrator logs in to the project management platform through a PC terminal, creates a project in the project management platform, inputs project basic information including an address, a survey purpose, and a design hole number, logs in to application software through the intelligent acquisition terminal, synchronizes project information including a project ID, a person in charge, and a construction period based on an account, checks an RTK positioning terminal power supply to ensure that the RTK positioning terminal can normally operate, and performs Bluetooth pairing with the intelligent acquisition terminal to facilitate subsequent geological data acquisition.

[0025] In step S120, after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal reads the current hole point coordinates, stores them to the acquisition form, and generates the corresponding hole number and positioning time.

[0026] Specifically, after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal reads the current hole point coordinates, and when the current hole point coordinates meet the requirements, stores them to the acquisition form of the geological information, and generates the corresponding hole number and positioning time. The acquisition form can be used to store the geological data, and when the hole number is generated, it can be generated according to the order of the geological data acquisition.

[0027] In step S120, after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal reads the current hole point coordinates, stores them to the acquisition form, and generates the corresponding hole number and positioning time.

[0028] Specifically, when positioning the hole site, the RTK positioning terminal is used to read the current hole site coordinates according to the optimal hole positioning route, the optimal hole positioning route including the planned hole site number, the hole site number and the planned hole site coordinates corresponding to each hole site number, the hole site number corresponding to the planned hole site coordinates; the hole site deviation is obtained by comparing the current hole site coordinates with the corresponding planned hole site coordinates, and when the hole site deviation is less than the preset threshold, the positioning is successful, and the obtained current hole site coordinates are stored in the collection form, and the corresponding hole site number and positioning time are generated in the collection form; otherwise, when the hole site deviation is greater than the preset threshold, the positioning fails, and the current position is adjusted, and the RTK positioning terminal is used to read the current hole site coordinates again until the hole site deviation is less than the preset threshold, the current hole site coordinates are stored in the collection form, and the corresponding hole site number and positioning time are generated, thereby ensuring the accuracy of the positioning.

[0029] In step S130, the geological data of the current hole site is collected, the stratigraphic lithology description corresponding to the template is selected according to the geological data or the stratigraphic lithology description is input by voice, the stratigraphic lithology description is converted into structured data, and the structured data is stored in the collection form to which the current hole site belongs.

[0030] Specifically, the geological data is collected at the hole site, the stratigraphic lithology description corresponding to the template is selected on the intelligent collection terminal according to the collected geological data or the stratigraphic lithology description is input by voice, and the stratigraphic lithology description is converted into structured data, so as to facilitate subsequent data reading, and the structured data is stored in the collection form to which the current hole site belongs, corresponding to the hole site, so as to realize one-to-one correspondence between the hole site and the structured data of the stratigraphic lithology description.

[0031] In step S140, the rock layer photo of the current hole site is obtained and recognized to obtain a rock layer recognition result, and the rock layer recognition result is compared and verified with the corresponding rock layer photo in the database.

[0032] Specifically, the rock layer of the current hole site is photographed by the intelligent collection terminal to obtain the rock layer photo and recognize the rock layer photo to obtain a rock layer recognition result, such as sandstone, mudstone, etc., and the rock layer recognition result is compared and verified with the corresponding rock layer photo (sandstone or mudstone) in the database to ensure the accuracy of the obtained rock layer data.

[0033] In step S150, if the rock layer recognition result matches the corresponding rock layer photo in the database, the verification is passed, and the collection form is synchronized to the cloud platform in real time.

[0034] Specifically, when it is detected that the rock layer photo of the current hole site matches the corresponding rock layer photo in the database, i.e., the type of the rock layer of the current hole site matches the corresponding rock layer photo, the verification is passed, and the corresponding collection form is synchronized to the cloud platform in real time, thereby greatly improving the data security. When it is detected that the two do not match, the corresponding geological data is marked for further identification in the future.

[0035] In the embodiment, the intelligent acquisition terminal and the RTK positioning terminal are connected, the optimal hole placement route is planned by loading a work area map, and a task list is broadcast, so as to facilitate geological data acquisition according to the optimal hole placement route; after reaching the hole point according to the optimal hole placement route, the RTK positioning terminal is used to read the current hole point coordinates, which are stored in an acquisition form, and the corresponding hole number and positioning time are generated, greatly improving the positioning efficiency; geological data of the current hole point is acquired, the stratum lithology description corresponding to the selected template is selected according to the geological data or the stratum lithology description is input by voice, the stratum lithology description is converted into structured data, and the structured data is stored in the acquisition form to which the current hole point belongs, improving the geological data acquisition efficiency and ensuring the accuracy of the lithology description; after the geological data is acquired, the stratum photo of the current hole point is acquired and recognized to obtain a stratum recognition result, which is compared with the corresponding stratum photo in the database to verify the accuracy and reliability of the stratum recognition result; when the stratum recognition result matches the corresponding stratum photo in the database, the verification is passed, the acquisition form is synchronized to the cloud platform in real time, the geological data is saved through the cloud platform to improve the data security, so that the geological data acquisition efficiency can be improved, and data integration and sharing can be facilitated.

[0036] In one embodiment, the method further includes: storing the multi-source heterogeneous acquisition forms by using a distributed database; performing anomaly detection on the acquisition data in the acquisition form to determine whether the hole point coordinates and the sampling rate meet the requirements, if yes, associating the acquisition data with the spatial data, the attribute data and the media data; if not, marking the acquisition data with a to-be-reviewed mark; after the review is completed, calling a symbol library to draw a chart according to the acquisition data in the acquisition form to obtain a geological data chart; calling a drawing module to import a drilling map, identifying the terrain line and the stratum line and mapping them into editable elements to generate a standard geological map, and pushing the standard geological map and the geological data chart to a business system.

[0037] Specifically, after the acquisition form is synchronized to the cloud platform in real time, the multi-source heterogeneous acquisition forms are stored by using a distributed database, the acquisition data in the acquisition form is subjected to anomaly detection to determine whether the hole point coordinates and the sampling rate meet the requirements, if yes, the acquisition data is associated with the spatial data, the attribute data and the media data; if not, the corresponding acquisition data is marked with a to-be-reviewed mark for subsequent review by the staff; after the review is completed, a symbol library is called to draw a chart according to the data in the acquisition form to obtain a geological data chart, so as to facilitate geological data summarization and checking; a drawing module is called to import a drilling map, identify the terrain line and the stratum line and map them into editable elements to generate a standard geological map, and the standard geological map and the geological data chart are pushed to a business system, so that the whole process from field acquisition to indoor processing can be realized, and the operation is simple and the cost is low.

[0038] In one embodiment, in actual operation, the intelligent data acquisition terminal can be developed based on Android 12; the PC-based management system can be developed based on Windows 10.

[0039] The following steps are included when performing field data collection:

[0040] (1) Project initialization and equipment debugging: The administrator logs into the project management platform through the PC, creates a project, and enters the basic project information (address, survey purpose, number of design holes 12); logs into the APP on the tablet and synchronizes the project information through the account (automatically associated with project ID, person in charge, and schedule); checks the battery level of the RTK collector and pairs it with the tablet via Bluetooth.

[0041] (2) Drilling positioning and hole setting: The tablet opens the "hole setting route planning" function, imports a 1:500 topographic map (CAD format), sets obstacle avoidance rules (avoiding buildings, trees, dangerous road sections with large elevation differences, etc.), and the system automatically generates the optimal route; after reaching the target area, the tablet calls the "hole position positioning" function, obtains the current coordinates in real time through RTK, and when the deviation from the designed hole position is ≤±2cm, the system prompts "positioning successful"; the hole opening coordinates are automatically recorded to the data acquisition form (fields: hole number, coordinates, positioning time) to avoid manual transcription.

[0042] (3) Core logging and data acquisition: The tablet enters the "Data Acquisition" module, which automatically generates the borehole number and date; the stratigraphic lithology description is generated by calling the dictionary template (options: sandstone, mudstone, shale, strongly weathered rock, etc.). After selecting "sandstone", the standardized description "Sandstone: grayish-white, medium-thick structure, fine-grained texture, calcareous mudstone cementation, the main mineral component is mica, locally containing mudstone fragments that are brown, and the borehole core has poor fracture development"; voice input: Click the "Voice Assistant" button and say "ZK1 borehole, core recovery rate 83%, stratigraphy is sandstone", the system will automatically convert it to text and associate the timestamp and location coordinates.

[0043] (4) Sample management and test data synchronization: After the data is compiled, the tablet generates a sample QR code; after the testing agency scans the QR code, it uploads the geotechnical test report through the "Test Data Synchronization" module on the PC.

[0044] (5) CAD drawing and real-time preview: Open the “CAD drawing” module on the tablet, import the drilling base map (DWG format, 1:500 topographic map), automatically identify the topographic lines and stratigraphic lines and map them as editable elements; call the symbol library (including legends such as “sandstone” and “mudstone”), click the “column chart drawing” button, and the system will automatically generate a column chart (0-2m hole depth is silty clay, 2-10m is sandstone, 10-15m is mudstone), and support dragging and adjusting the legend position.

[0045] The following steps are included in the process of processing internal data and delivering results:

[0046] (1) Cloud data synchronization and storage (real time): The data collected by the tablet (forms, drawings, test reports) is uploaded to the data platform in real time via 4G / 5G network and updated synchronously to the PC management system; the platform automatically checks whether the borehole coordinates deviate from the design borehole position and whether the sampling rate meets the requirements. Abnormal data (such as coordinate deviation > 5cm) is marked as "to be reviewed" and the project leader is notified.

[0047] (2) Deliverables archiving and delivery: The PC management system packages the collected forms (Excel), CAD drawings (DWG), and thematic maps (PDF) and uploads them to the digital management platform simultaneously; a unique certificate number is generated, and the project leader downloads the deliverables package through the platform to complete the acceptance.

[0048] like Figures 2-3 As shown, an artificial intelligence-based field geological data acquisition device 100 is provided to implement the artificial intelligence-based field geological data acquisition method described above. It includes: an intelligent acquisition terminal 10 and an RTK positioning terminal 20, wherein: the RTK positioning terminal 10 uses BeiDou high-precision positioning technology to locate borehole coordinates; the intelligent acquisition terminal 20 is connected to the RTK positioning terminal 10 and is used to store the acquired geological data and transmit it to a cloud platform; the intelligent acquisition terminal 20 is equipped with a route planning module 21, a positioning linkage module 22, a data entry module 23, a verification module 24, and a form synchronization module 25; the route planning module 21 is used to connect the intelligent acquisition terminal and the RTK positioning terminal, load the work area map through the intelligent acquisition terminal 20 to plan the optimal borehole route, and broadcast the route planning module. The task list includes: a positioning linkage module 22, which, after reaching the borehole location measurement point according to the optimal borehole route, uses an RTK positioning terminal to read the current borehole location coordinates, stores them in the acquisition form, and generates the corresponding borehole number and positioning time; a data entry module 23, which collects geological data for the current borehole location, selects the corresponding template for stratigraphic lithology description based on the geological data or inputs stratigraphic lithology description via voice, converts the stratigraphic lithology description into structured data, and stores it in the acquisition form belonging to the current borehole location; a verification module 24, which acquires and identifies rock strata photos of the current borehole location, obtains the rock strata identification results, and compares and verifies them with the corresponding rock strata photos in the database; and a form synchronization module 25, which, when the rock strata identification results match the corresponding rock strata photos in the database, verifies the results and synchronizes the acquisition form to the cloud platform in real time.

[0049] Specifically, the intelligent data acquisition terminal 10 can be an industrial-grade rugged tablet, and the RTK positioning terminal 20 uses a centimeter-level RTK locator to support multi-system joint positioning. The intelligent data acquisition terminal 10 and the RTK positioning terminal 20 are connected via Bluetooth to provide stable and high-precision positioning services continuously in environments without a network.

[0050] In one embodiment, the system further includes: a cloud platform 30, which is communicatively connected to the intelligent acquisition terminal 20, for storing multi-source heterogeneous acquisition forms using a distributed database; performing anomaly detection on the acquired data in the acquisition forms, determining whether the borehole coordinates and sampling rate meet the requirements; if they meet the requirements, associating the acquired data with spatial data, attribute data, and media data; if they do not meet the requirements, marking the corresponding acquired data as pending review; after review, calling the symbol library, drawing charts based on the acquired data in the acquisition forms to obtain geological data charts; calling the drawing module, importing the drilling map, identifying topographic lines and stratigraphic lines and mapping them as editable elements, generating a standard geological map, and pushing it to the business system along with the geological data charts.

[0051] Specifically, the cloud platform 30 can use a distributed database to store multi-source heterogeneous data, integrate a CAD / BIM engine to automatically generate standard maps, and use an AI analysis module to perform quality control and anomaly detection on the collected data. The cloud platform automatically associates spatial data, attribute data, and media data, calls the CAD engine to generate standard geological maps, and pushes them to relevant business systems. The CAD collaborative drawing function supports real-time drawing of point, line, and surface elements, as well as columnar and cross-sectional diagrams in the field. It loads CAD base maps to achieve element style mapping, accurately lays holes, and has a built-in full-type symbol library for stratigraphy, lithology, exploration legends, etc. It supports importing and exporting in DWG / DXF formats and generates maps that conform to industry standards, replacing traditional manual drawing and improving efficiency by 50%.

[0052] Specifically, the aforementioned equipment can optimize the data acquisition process through artificial intelligence algorithms (such as automatically planning borehole routes and verifying data validity in real time), improve the efficiency and accuracy of field geological data acquisition, and support seamless integration with data platforms to achieve cloud storage and intelligent analysis of data.

[0053] Specifically, the aforementioned equipment, through multi-source heterogeneous data fusion technology, can integrate various types of data (vector, image, raster, and results data) from geology, surveying, monitoring, and experiments. It supports separate storage and sharing of spatial and attribute data, constructing a smart geotechnical exploration database and solving the problem of data fragmentation. Simultaneously, it supports real-time cloud synchronization, with data collected by mobile terminals being uploaded to the cloud in real time via the network, improving data security by 60%. Furthermore, this equipment can help build an open and shared geological data ecosystem, possessing profound social value for resource optimization, ecological protection, and disaster prevention and mitigation (such as real-time data support for early warning in geological disaster investigation).

[0054] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a computer storage medium (ROM / RAM, magnetic disk, optical disk) for execution by the computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Therefore, the present invention is not limited to any particular hardware and software combination.

[0055] The above description, in conjunction with specific embodiments, provides a further detailed explanation of the present invention. It should not be construed that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, various simple deductions or substitutions can be made without departing from the concept of the present invention, and all such deductions or substitutions should be considered within the scope of protection of the present invention.

Claims

1. A method for acquiring geological data in the field based on artificial intelligence, characterized in that, Includes the following steps: Connect the intelligent data acquisition terminal and the RTK positioning terminal, load the work area map through the intelligent data acquisition terminal to plan the optimal drilling route, and broadcast the task list; After reaching the borehole location measurement point according to the optimal borehole route, the RTK positioning terminal is used to read the current borehole location coordinates, store them in the data acquisition form, and generate the corresponding borehole number and positioning time. Collect geological data for the current borehole location, select the corresponding template for stratigraphic lithology description based on the geological data or enter the stratigraphic lithology description by voice, convert the stratigraphic lithology description into structured data, and store it in the collection form to which the current borehole location belongs; Obtain and identify rock strata at the current borehole location, obtain the rock strata identification results, and compare and verify them with the corresponding rock strata photos in the database; If the rock strata identification result matches the corresponding rock strata photo in the database, the verification is successful, and the collection form is synchronized to the cloud platform in real time.

2. The method for acquiring field geological data based on artificial intelligence according to claim 1, characterized in that, Before loading the work area map via the intelligent acquisition terminal to plan the optimal drilling route, connecting the RTK positioning terminal, and broadcasting the task list, the following steps are also included: Create a project through the project management platform and enter the basic project information, which includes the address, purpose of the survey, and number of design holes. Log in to the application software through the intelligent data collection terminal to synchronize project information, which includes project ID, person in charge, and construction period.

3. The method for field geological data acquisition based on artificial intelligence according to claim 1, characterized in that, After reaching the borehole location measurement point according to the optimal borehole route, the RTK positioning terminal reads the current borehole coordinates, stores them in the data acquisition form, and generates the corresponding borehole number and positioning time, including: According to the optimal drilling route, the current hole position coordinates are read by the RTK positioning terminal and compared with the planned hole position coordinates in the optimal drilling route to obtain the hole position deviation. The optimal drilling route includes the number of planned holes, the hole position number, and the planned hole position coordinates corresponding to each hole position number. If the hole position deviation is less than the preset threshold, it indicates that the positioning is successful. The current hole position coordinates are stored in the data acquisition form, and the corresponding hole position number and positioning time are generated. If the hole position deviation is greater than a preset threshold, it indicates that the positioning has failed. The current position is adjusted, and the RTK positioning terminal is used again to read the current hole position coordinates until the hole position deviation is less than the preset threshold.

4. The method for field geological data acquisition based on artificial intelligence according to claim 1, characterized in that, After synchronizing the collected forms to the cloud platform in real time, the process also includes: A distributed database is used to store the multi-source heterogeneous collection forms; Anomaly detection is performed on the collected data in the collection form to determine whether the hole position coordinates and sampling rate meet the requirements. If they meet the requirements, the collected data is associated with spatial data, attribute data, and media data. If the data does not meet the requirements, the corresponding collected data will be marked as pending review. After the review is completed, the symbol library is called to draw charts based on the collected data in the data collection form, and geological data charts are obtained. The drawing module is invoked to import the drilling map, identify topographic lines and stratigraphic lines and map them as editable elements, generate a standard geological map, and push it to the business system along with the geological data charts.

5. An artificial intelligence-based field geological data acquisition device, characterized in that, A method for implementing an artificial intelligence-based field geological data acquisition method as described in any one of claims 1-4 includes: Intelligent data acquisition terminal and RTK positioning terminal; The RTK positioning terminal uses BeiDou high-precision positioning technology to locate the coordinates of the holes. The intelligent data acquisition terminal is connected to the RTK positioning terminal and is used to store the acquired geological data and transmit it to the cloud platform. The intelligent data collection terminal is equipped with a route planning module, a positioning linkage module, a data entry module, a verification module, and a form synchronization module. The route planning module is used to connect the intelligent acquisition terminal and the RTK positioning terminal, load the work area map through the intelligent acquisition terminal to plan the optimal drilling route, and broadcast the task list. The positioning linkage module is used to read the current hole position coordinates using the RTK positioning terminal after reaching the hole position measuring point according to the optimal hole laying route, store them in the acquisition form, and generate the corresponding hole position number and positioning time. The data entry module is used to collect geological data of the current borehole location, select the corresponding template for the stratigraphic lithology description or enter the stratigraphic lithology description by voice according to the geological data, convert the stratigraphic lithology description into structured data, and store it in the collection form to which the current borehole location belongs. The verification module is used to acquire and identify rock strata photos of the current borehole location, obtain rock strata identification results, and compare and verify them with the corresponding rock strata photos in the database. The form synchronization module is used to synchronize the collected form to the cloud platform in real time when the rock stratum identification result matches the corresponding rock stratum photo in the database.

6. The field geological data acquisition device based on artificial intelligence according to claim 5, characterized in that, Also includes: A cloud platform, which is communicatively connected to the intelligent acquisition terminal, is used to store multi-source heterogeneous acquisition forms using a distributed database; Anomaly detection is performed on the collected data in the collection form to determine whether the hole position coordinates and sampling rate meet the requirements. If they meet the requirements, the collected data is associated with spatial data, attribute data, and media data. If they do not meet the requirements, the corresponding collected data is marked as pending review. After the review is completed, the symbol library is called to draw charts based on the collected data in the data collection form, and geological data charts are obtained. The drawing module is invoked to import the drilling map, identify topographic lines and stratigraphic lines and map them as editable elements, generate a standard geological map, and push it to the business system along with the geological data charts.

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