CN112529983A - Internet of things and cloud computing based geological exploration record smart cloud platform and method - Google Patents
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Abstract
The utility model provides a geological exploration record wisdom cloud platform based on thing networking and cloud calculate includes: the server is connected with the data acquisition system and the drilling analysis system; the data acquisition system is used for acquiring drilling data, core data and quantitative data and transmitting the drilling data, the core data and the quantitative data to the server; the drilling analysis system is used for generating a drilling record table according to the drilling data, the core data and the quantitative data, and generating a drilling time and footage curve graph according to the drilling record table; the server is used for generating a geological record table suitable for engineering geological exploration according to the drilling data, the core data and the quantitative data and by combining the drilling time and the footage curve chart; the system realizes real-time monitoring and traceability of the geological exploration work, is convenient for dynamic supervision of the industry, fundamentally solves the problem of geological exploration quality, solves the aging and high cost of exploration manpower which are obvious year by year, improves the information interaction and communication among exploration specialties, and improves the efficiency of the whole exploration work.
Description
Technical Field
The invention relates to a geological exploration record smart cloud platform and a geological exploration record smart cloud method based on the Internet of things and cloud computing, and belongs to the field of informatization and intellectualization of engineering exploration and drilling processes.
Background
In the present day that the technical level of engineering geological exploration is continuously improved, drilling is still the means which are most applied in engineering exploration. The engineering exploration mainly comprises the steps of repeated core drilling and core sample editing. The drilling technique itself remains in a phase that relies primarily on manual operations, methods that are out of date and inconvenient to manage.
At present, the technology upgrading and transformation of geological exploration and drilling operation are necessary due to the fact that the technology of the internet of things, the informatization and the intellectualization technology is outstanding. Particularly aiming at the most important geological record list and drilling class report (record) list in the exploration process, the field acquisition is enhanced according to the technology of the Internet of things, the information is gathered on a cloud platform and effectively processed, and the intellectualization of the exploration record list and the class report (record) list is realized. How to reduce the labor intensity of workers, ensure the instantaneity and the accuracy of the input information, and provide powerful support for the technical transformation of the whole drilling operation is the technical problem to be solved.
Disclosure of Invention
In order to solve the technical problems, the invention improves the defects of the prior art, and by utilizing the design of the system, the platform and the method for providing the intelligent (compiling) record of geological exploration based on the internet of things and cloud computing, the automatic generation of a geological record table and a drilling record table (class report table) is realized, and the real-time storage and the real-time sharing of multi-user exploration data are realized, so that the real-time monitoring and traceability of the geological exploration work are realized, and the dynamic supervision of the industry is facilitated.
In a first aspect, the present disclosure provides a geological exploration record smart cloud platform based on internet of things and cloud computing, including: the server is connected with the data acquisition system and the drilling analysis system;
the data acquisition system is used for acquiring drilling data, core data and quantitative data and transmitting the drilling data, the core data and the quantitative data to the server;
the drilling analysis system is used for generating a drilling record table according to the drilling data, the core data and the quantitative data, and generating a drilling time and footage curve graph according to the drilling record table;
and the server is used for generating a geological record table suitable for engineering geological exploration according to the drilling data, the core data and the quantitative data and by combining the drilling time and the footage curve graph.
In a second aspect, the present disclosure provides a method for using the smart cloud platform for geological exploration records based on internet of things and cloud computing according to the first aspect, including:
drilling data, core data and quantitative data are collected through a data collection system and transmitted to a server;
generating a drilling record table from the drilling data, the core data and the quantitative data through a drilling analysis system, and forming a drilling time and footage curve graph according to the drilling record table;
and generating a geological record table suitable for engineering geological exploration by combining the drilling time and the footage curve chart according to the drilling data, the core data and the quantitative data through the server.
Compared with the prior art, this disclosure possesses following beneficial effect:
1. the intelligent cloud platform for geological exploration records based on the Internet of things and cloud computing solves the problems of complexity and high cost of purely manual recording of exploration records (class reports) by arranging a server, and a data acquisition system and a drilling analysis system which are connected with the server, and realizes full-automatic recording of a drilling process and automatic generation of the class reports; the deviation of geological logging caused by human subjective factors and technical differences of logging technicians is solved, the standardization, the digitization and the intellectualization of logging acquisition of the drilling core are realized, and the standardized automatic generation of a logging table is realized; the cloud computing technology is utilized to link a drilling machine set, a field technician (geological recorder), an exploration unit, an expert and related owner units, a supervision unit, an industry supervision unit and the like through a platform, so that real-time storage and real-time sharing of exploration data are realized, real-time monitoring and traceability of land exploration work are realized, dynamic supervision of the industry is facilitated, the geological exploration quality problem is fundamentally solved, aging and high cost of exploration workers which are obvious year by year are solved, information interaction and communication among exploration professionals are improved, and the efficiency of the whole exploration work is improved.
2. The intelligent cloud platform for geological exploration records based on the Internet of things and cloud computing realizes automatic generation of a geological record table and a drilling record table (class report table), and realizes real-time storage and real-time sharing of multi-user exploration data, so that the real-time monitoring and traceability of geological exploration work are realized, and dynamic supervision of the industry is facilitated.
3. In the field of engineering exploration, a large amount of data can be generated in the actual exploration working process, such as exploration engineering project data, relevant unit data, site drilling relevant data, geological record relevant data and the like. Aiming at different related units in the industry, such as a U1 drilling machine set, a U2 field technician (geological recorder), a U3 exploration unit, a U4 supervision unit, a U5 owner unit, a U6 industry supervision unit and the like, according to the attention points of the units, the data are managed, analyzed and further mined through the platform. On the basis of software and hardware such as a drilling hole depth real-time measurement and whole-process recording system (H drilling recorder), a drilling site and core digital recording system (16), a drilling core record auxiliary system (J auxiliary record instrument) and the like, exploration process data are uploaded to a cloud storage (A), a latest software development platform is adopted for development, a smart exploration cloud platform (B cloud computing service platform) specially serving relevant units and users in the engineering exploration field is adopted, a near field (region) standard stratum data base (F) and the like are combined, data are analyzed and processed at a cloud end, the data are analyzed and processed, for example, a drilling analysis system (C), a core intelligent identification record system (D), a exploration system (E) and the like, and friendly interfaces are set for different users according to requirements through experts and a mobile terminal, so that effective processing of the exploration data is achieved. Particularly, the method is used for generating a geological catalogue table (23) of exploration final results, a drilling work and newspaper (20) and the like, and generating an effective drilling time footage curve (22) is realized for the first time. The cloud computing, big data, Internet of things and other related leading-edge technologies are integrated, and application interfaces are reserved for data mining and utilization, GIS-based integrated management and Internet of things hardware access in the future.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
FIG. 1 is a functional block diagram of a geological exploration data platform system based on Internet of things and cloud computing according to the present disclosure;
FIG. 2 is a depth image acquired by the real-time depth measurement module of the present disclosure;
FIG. 3 is a schematic view of an effective drilling time footage of the present disclosure;
u1 and a drilling machine unit; u2, field technician; u3, survey unit; u4, supervision; u5, owner; u6, industry supervision; A. cloud storage; B. a cloud computing service platform; C. a drilling analysis system; D. an intelligent core identification and recording system; E. an expert system; F. near field (regional) standard formation databases; G. other big data mining; H. a drilling recorder; J. an auxiliary editing and recording instrument; K. indexes and data; 1. a surplus ruler is arranged on the machine; 2. drill (long) gauge; 3. field data; 4. a rotational speed; 5. pressure; 6. hole site coordinates; 7. core photography; 8. color and density; 9. water content; 10. state or hardness; 11. ultrasonic real-time distance measurement; 12. field input; 13. a rotational speed sensor; 14. a pressure sensor; 15. GPS positioning; 16. a drilling site and core digital recording system; 17. carrying out photomicrography; 18. testing the water content; 19. testing the penetration degree; 20. drilling records sheet (class report sheet); 21. testing data in situ; 22. effective drilling time footage; 23. and (5) geological logging.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1
As shown in fig. 1, a smart cloud platform for geological exploration records based on internet of things and cloud computing comprises: the server is connected with the data acquisition system and the drilling analysis system;
the data acquisition system is used for acquiring drilling data, core data and quantitative data and transmitting the drilling data, the core data and the quantitative data to the server;
the drilling analysis system is used for generating a drilling record table according to the drilling data, the core data and the quantitative data, and generating a drilling time and footage curve graph according to the drilling record table;
and the server is used for generating a geological record table suitable for engineering geological exploration according to the drilling data, the core data and the quantitative data and by combining the drilling time and the footage curve graph.
Furthermore, the data acquisition system comprises a drilling hole depth real-time measurement and whole-process recording system, a drilling site and core digital recording system and a drilling core record auxiliary system;
the drilling hole depth real-time measuring and whole-process recording system is used for acquiring drilling data and comprises a drilling depth real-time measuring module, an exploratory hole information interaction module and a main control module, wherein the drilling depth real-time measuring module comprises a measuring device and an input device, the measuring device is used for measuring the residual ruler on a drilling machine in real time, and the input device is used for automatically inputting drilling tool information; the exploratory hole information interaction module comprises a wireless communication unit and a positioning unit, and is used for communication between the drilling depth real-time measuring module and the main control module; and the main control module is used for receiving and calculating exploration hole information and acquiring the exploration hole depth in real time.
Firstly, installing a drilling recorder (H) on a drilling machine, acquiring extra length data on the drilling machine by acquiring ultrasonic real-time distance measurement (11), recording drill rod data and the like (12) on site, measuring drilling real-time hole depth, and acquiring a rotating speed (13), pressure (14), field data and the like;
transmitting the data (according to the return times) to a cloud storage terminal (A) through a GPRS network, and constructing a drilling whole-process recording system;
and thirdly, through the cloud computing and drilling analysis sharing of the cloud computing service platform (B), users with different authorities access the cloud end data through different interfaces of the mobile end and the PC background, so that data query, supervision and supervision are facilitated.
Further, the drilling site and core digital recording system is used for acquiring core data and comprises a mobile terminal, an image data acquisition module and a core data input module, wherein the image data acquisition module and the core data input module are connected with the mobile terminal; the image data acquisition module is used for acquiring working, environment and core image data and transmitting the image data to the mobile terminal; the core data entry module is used for acquiring core final hole depth, sampling and in-situ test data and transmitting the acquired test data to the mobile terminal; the mobile terminal collects the received image data and test data and transmits the collected image data and test data to the cloud computing service platform; and the cloud computing service platform generates a geological record table after processing the image data and the test data.
The mobile terminal is connected with a cloud computing service platform (B) through an intelligent reconnaissance WeChat public number interface on site, and core shooting and data recording are collected; and cutting and splicing the box core camera to form a summary core standard photo, identifying the camera shooting distance of the summary core standard photo by referring to a near-field standard stratum database to serve as a primary logging subsection, and synchronizing the subsection information to a geological logging table.
Further, the auxiliary system for logging the drilling core is used for acquiring quantitative data and comprises an auxiliary logging instrument, a water content measuring sensor, a penetration sensor and an image acquisition unit, wherein the water content measuring sensor, the penetration sensor and the image acquisition unit are connected with the auxiliary logging instrument; moisture content measuring sensor transmits the moisture content data of gathering to supplementary record appearance, and the penetration degree sensor transmits the penetration degree data of gathering to supplementary record appearance, and image acquisition unit transmits the image data of gathering to supplementary record appearance, supplementary record appearance generates three-dimensional electronic tags according to image, penetration degree and moisture content data to acquire quantitative data through high in the clouds core intelligent recognition system, quantitative data includes colour data, (particle) density data, moisture content data and state (hardness) data.
Microscopic photography (17) and a water content test (18) are carried out on a site core typical point; data acquisition such as a penetration test (19) and the like and corresponding plane and depth three-dimensional electronic tags are matched and uploaded to a cloud computing service platform, color recognition, (particle) density recognition, moisture content, state (hardness) recognition and the like are carried out on a cloud core intelligent recognition system (D), and quantitative data are synchronized to a geological record table.
Further, the drilling analysis system comprises an interface module, a data transmission module and a data analysis module, wherein the interface module is used for defining data transmission interfaces for the internal and external industry software of the engineering drilling in advance; the acquisition module is used for acquiring drilling data, core data and quantitative data through a network during engineering drilling; the data processing module is used for obtaining a real-time drilling record table (class report table) and in-situ test data according to the drilling data, the core data and the quantitative data, and establishing an effective drilling time-footage curve chart according to the real-time drilling record table data, so that the relation between the pure drilling working time and the footage speed is formed, the hardness of a rock-soil layer can be directly reflected from the engineering angle by combining the rotating speed and the pressure of a drilling machine, and rock-soil interfaces, boulders, karst caves, broken zones and the like which are concerned by engineering are intuitively reflected; and the transmission module is used for transmitting the drilling time-footage curve chart, the drilling record table (class report table) and the in-situ test data to the server.
The system further comprises a near field area standard stratum determining module, wherein the near field area standard stratum determining module is used for determining a near field area standard stratum based on cloud computing, and the near field area standard stratum is determined by combining a local standard stratum database based on the acquisition of GPS hole site location data; including standard formation databases (F) and continuous updates of the databases.
Furthermore, the server is a cloud computing service platform, and a geological record table suitable for engineering geological exploration is formed by the camera shooting distance identification of a drilling site and core digital recording system (16), the analysis of a drilling core record auxiliary system (J) and an expert system (E) and the combination of drilling time and a footage curve according to the near field area standard stratum determined by the near field area standard stratum determination module. The expert system is used for processing the detection data, detecting whether the data has errors or incomplete data, and sending an operation instruction after the server executes the analysis of the expert system.
Specifically, the drilling data comprises an on-machine redundant ruler, drilling tool (length) specifications, field data, rotating speed and pressure, and the core data comprises hole site coordinates, core photography, color, density and water content; the quantitative data includes status or stiffness and ultrasonic real-time ranging.
Example 2
The use method of the smart cloud platform for geological exploration records based on the Internet of things and cloud computing in the embodiment comprises the following steps:
drilling data, core data and quantitative data are collected through a data collection system and transmitted to a server;
generating a drilling record table from the drilling data, the core data and the quantitative data through a drilling analysis system, and forming a drilling time and footage curve graph according to the drilling record table;
and generating a geological record table suitable for engineering geological exploration by combining the drilling time and the footage curve chart according to the drilling data, the core data and the quantitative data through the server.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. The utility model provides a geological exploration record wisdom cloud platform based on thing networking and cloud calculate which characterized in that includes: the server is connected with the data acquisition system and the drilling analysis system;
the data acquisition system is used for acquiring drilling data, core data and quantitative data and transmitting the drilling data, the core data and the quantitative data to the server;
the drilling analysis system is used for generating a drilling record table according to the drilling data, the core data and the quantitative data, and generating a drilling time and footage curve graph according to the drilling record table;
and the server is used for generating a geological record table suitable for engineering geological exploration according to the drilling data, the core data and the quantitative data and by combining the drilling time and the footage curve graph.
2. The internet of things and cloud computing based geological exploration recording smart cloud platform as claimed in claim 1, wherein said data acquisition system comprises a drilling hole depth real-time measurement and whole process recording system, a drilling site and core digital recording system and a drilling core logging auxiliary system.
3. The Internet of things and cloud computing based geological exploration recording smart cloud platform as claimed in claim 2, wherein said drilling hole depth real-time measuring and whole-process recording system comprises a drilling depth real-time measuring module, a drilling hole information interaction module and a main control module, said drilling depth real-time measuring module comprises a measuring device and a recording device, said measuring device is used for measuring the residual length on the drilling machine in real time, said recording device is used for automatically recording drilling tool information; the exploratory hole information interaction module comprises a wireless communication unit and a positioning unit, and is used for communication between the drilling depth real-time measuring module and the main control module; and the main control module is used for receiving and calculating exploration hole information and acquiring the exploration hole depth in real time.
4. The Internet of things and cloud computing based geological exploration record smart cloud platform as claimed in claim 2, wherein said drilling site and core digital recording system comprises a mobile terminal, an image data acquisition module and a core data entry module connected with the mobile terminal; the image data acquisition module is used for acquiring working, environment and core image data and transmitting the image data to the mobile terminal; the core data entry module is used for acquiring core final hole depth, sampling and in-situ test data and transmitting the acquired test data to the mobile terminal.
5. The Internet of things and cloud computing based geological exploration record smart cloud platform of claim 2, wherein the drilling core logging auxiliary system comprises an auxiliary logging instrument, a water content measuring sensor, a penetration sensor and an image acquisition unit which are connected with the auxiliary logging instrument; the moisture content measuring sensor transmits acquired moisture content data to the auxiliary recording instrument, the penetration sensor transmits the acquired penetration data to the auxiliary recording instrument, the image acquisition unit transmits the acquired image data to the auxiliary recording instrument, and the auxiliary recording instrument generates the three-dimensional electronic tag according to the image, the penetration and the moisture content data.
6. The smart cloud platform for internet of things and cloud computing based geological exploration records according to claim 2, wherein said drilling analysis system comprises an interface module for defining a data transmission interface for engineering drilling internal and external industry software in advance; the acquisition module is used for acquiring drilling data, core data and quantitative data through a network during engineering drilling; and the data processing module is used for obtaining a real-time drilling record table and in-situ test data according to the drilling data, the core data and the quantitative data, and establishing an effective drilling time-footage curve chart according to the real-time drilling record table data.
7. The smart cloud platform for internet of things and cloud computing based geological exploration recordings according to claim 2, further comprising a near field area standard formation determination module connected to the server for determining a near field area standard formation, said near field area standard formation being determined based on the acquisition of GPS hole site location data in conjunction with a near area location standard formation database.
8. The smart cloud platform for internet of things and cloud computing based geological exploration records of claim 7, further comprising an expert system connected to the server, wherein the expert system is configured to process the detection data, detect whether the data has errors or incomplete data, and issue an operation command after the server performs the analysis of the expert system.
9. The smart cloud platform for internet of things and cloud computing based geological exploration recording of claim 7, wherein the server is a cloud computing service platform, and a geological record table suitable for engineering geological exploration is formed by analyzing a near field area standard stratum determined by a near field area standard stratum determination module, camera distance identification of a drilling site and a core digital camera system, a drilling core record auxiliary system and an expert system, and combining drilling time and a footage curve.
10. The use method of the smart cloud platform for geological exploration records based on the internet of things and cloud computing in the embodiment comprises the following steps:
drilling data, core data and quantitative data are collected through a data collection system and transmitted to a server;
generating a drilling record table from the drilling data, the core data and the quantitative data through a drilling analysis system, and forming a drilling time and footage curve graph according to the drilling record table;
and generating a geological record table suitable for engineering geological exploration by combining the drilling time and the footage curve chart according to the drilling data, the core data and the quantitative data through the server.
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| CN115827057A (en) * | 2022-09-27 | 2023-03-21 | 广西发现软件技术有限公司 | Reconnaissance supervision system architecture method for reducing storage and access pressure of server |
| CN115875008A (en) * | 2023-01-06 | 2023-03-31 | 四川省川建勘察设计院有限公司 | Intelligent drilling data acquisition method and system for geological drilling machine and storage medium |
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