KR102470365B1 - System and Method for anlyzing correlation between tunnel boring data automatically - Google Patents

Abstract

Disclosed is an automated analysis system for correlation between excavation data that can be systematized so that it can be efficiently built by dividing by major factors (ground data, construction excavation data) that affect TBM (Tunnel Boring Machine) excavation. The automatic correlation analysis system between the excavation data includes excavation equipment for generating excavation data, a terminal for receiving ground data, and a management server for generating analysis result data based on the excavation data and the ground data. to be

Description

System and method for analyzing correlation between tunnel data automatically}

The present invention relates to excavation data analysis technology, and more particularly, to a system and method for automatically analyzing correlations between excavation data.

TBM (Tunnel Boring Machine) refers to a circular rotary excavation equipment that excavates by crushing rock and ground by rotating a cutter head equipped with a plurality of disc cutters.

Recently, in the underground construction project in Korea, mechanized construction by TBM is increasing in the existing blasting method in that it is possible to construct an economical tunnel through minimization of environmental damage such as noise/vibration, reduction of labor force, and rapid construction.

In order to respond to technological developments in the domestic TBM field and/or problems occurring at tunnel sites, it is very important to build and manage the ground data surveyed in the field and excavation data of TBMs actually constructed.

Conventional construction and/or management of tunnel site data is performed by storing and managing excavation (operation) daily reports recorded directly on site and Excel data (i.e., construction excavation data) output from TBM equipment in a PC (Personal Computer) to manage items, Since the scope and amount are considerable, it is difficult to manage them in a long-term and efficient way, so improvement is needed.

In addition, the technology and / or service that provides the analysis data that the user wants, such as the excavation status of TBM based on the established data, has not yet been secured, and improvement is needed.

In addition, conventional tunnel site data construction and / or management is difficult to manage data in a long-term and efficient way by storing and managing a considerable amount of data in a PC.

1. Korea Patent Registration No. 10-1848754 (registration date: April 9, 2018)

The present invention has been proposed to solve the problems caused by the above background art, and can be systematized so that it can be efficiently built by dividing by major factors (ground data, construction excavation data) that affect TBM (Tunnel Boring Machine) excavation. The purpose is to provide an automated analysis system and method for correlation between excavation data.

In addition, another object of the present invention is to provide an automated analysis system and method for correlation between excavation data that can build big data for each tunnel construction site by registering data of major factors affecting TBM excavation in the system.

In addition, another object of the present invention is to provide an automated analysis system and method for correlation between excavation data that can provide analysis data desired by a user, such as excavation status.

The present invention, in order to achieve the problems presented above, is a correlation between excavation data that can be systematized so that it can be efficiently built by classifying each major factor (ground data, construction excavation data) that affects TBM (Tunnel Boring Machine) excavation An automated analysis system is provided.

The automatic correlation analysis system between the excavation data,

drilling equipment generating drilling data;

a terminal receiving ground data; and

It characterized in that it comprises; a management server for generating analysis result data based on the excavation data and the ground data.

In addition, the excavation data is characterized in that it includes the ring number, excavation length, excavation time, excavation speed, number of revolutions of the cutter head, torque, thrust, pressure of the shield jack, the number of jacks used, and equipment output.

In addition, the ground data includes borehole number, borehole location, ring number, rock classification, compressive strength, tensile strength, TCR (Total Core Recovery), RQD (Rock Quality Designation), rock permeability test (Lugeon), and RMR (Rock Mass Rating).

In addition, the analysis result data is characterized in that at least one or more of a torque curve curve analysis of the drilling equipment, data analysis for each ring position, and correlation analysis.

In addition, the torque curve curve analysis is characterized in that two data affecting the excavation among the excavation data are generated as a graph by mutually linking them.

In addition, the data analysis for each ring location is characterized in that two or more data affecting the excavation among the excavation data are extracted for each segment ring location and generated as a graph.

In addition, the correlation data analysis is classified into a machine factor, which is the excavation data, and a ground factor, which is the ground data, which affect the excavation, and the machine factor vs. the machine factor, the machine factor vs. It is characterized by generating a graph of a ground factor and one of the ground factor versus the ground factor.

On the other hand, in another embodiment of the present invention, (a) the drilling equipment generates drilling data; (b) the terminal receiving ground data; And (c) generating, by the management server, analysis result data based on the excavation data and the ground data.

According to the present invention, since the tunnel-type power tunnel site, TBM equipment information, and various data are built in a series form, anyone can easily acquire information.

In addition, as another effect of the present invention, since a number of users can use it at the same time, it can be mentioned that an effect such as in-house data sharing and work efficiency increase using the same can be expected to be great.

In addition, another effect of the present invention is that by constructing big data (ground data, excavation data) for each tunnel site, it is possible to secure basic data to respond to technical development in the TBM field and problems occurring in the field. can

In addition, as another effect of the present invention, by registering the main factor data affecting TBM excavation into the system, going beyond the conventional method of storing and managing a considerable amount of field data in a PC (Personal Computer), long-term and efficient Data can be managed, and reliability and convenience can be provided to users.

In addition, another effect of the present invention is that it is possible to increase the understanding of the tunnel site and the construction efficiency by presenting the excavation status to the user as a graph by analyzing the constructed site DB.

1 is a block diagram of an automated analysis system for correlation between excavation data according to an embodiment of the present invention.
FIG. 2 is a detailed block diagram of the management server shown in FIG. 1 .
3 is a detailed configuration block diagram of the terminal shown in FIG. 1;
Figure 4 is a flow chart showing a process of automatically analyzing the correlation between excavation data according to an embodiment of the present invention.
5 is an example of a screen for registering the derived main factors according to an embodiment of the present invention.
6 is an example of a screen showing the current status of each constructed tunnel site according to an embodiment of the present invention.
7 is a screen example of a downloaded Excel file according to an embodiment of the present invention.
8 is a graph analyzing a torque curve of a drilling equipment according to an embodiment of the present invention.
9 is a data analysis graph for each ring position according to an embodiment of the present invention.
10 is an example of a selection screen for correlation analysis for each major factor according to an embodiment of the present invention.
11 is a correlation analysis graph for each major factor according to an embodiment of the present invention.
12 is a screen example showing a site outline registration sequence according to an embodiment of the present invention.
13 is a screen example showing a procedure for registering new excavation equipment according to an embodiment of the present invention.
14 is a screen example showing a drilling equipment history management sequence after registration according to an embodiment of the present invention.
15 is a screen example showing a procedure for registering coring information according to an embodiment of the present invention.
16 is an example of a coring information registration and management screen according to an embodiment of the present invention.
17 is a screen example showing a field excavation data registration procedure according to an embodiment of the present invention.
18 is a screen example showing correlation analysis for each major factor according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, or substitutes included in the spirit and technical scope of the present invention.

In describing each figure, like reference numbers are used for like elements. Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The term "and/or" includes any combination of a plurality of related listed items or any of a plurality of related listed items.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in this application, it should not be interpreted in an ideal or excessively formal meaning. Should not be.

Hereinafter, a system and method for automatically analyzing correlation between excavation data according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an automated analysis system 100 for correlation between excavation data according to an embodiment of the present invention. Referring to FIG. 1, the automated correlation analysis system 100 includes a drilling equipment 110 generating drilling data, a management server 130 generating correlation analysis data based on drilling data and ground data, and a management server. It may be configured to include a terminal 140 that transmits the ground data to 130, an excavation equipment 110, a management server 130, and a network 120 that communicates and connects the terminal 140.

TBM (Tunnel Boring Machine) is a large-scale tunnel excavator for crushing excavation of rock or ground. It rotates a cutter head equipped with a plurality of disk cutters on the front to continuously perform excavation, barb removal, and support work. Excavation work by TBM is more advantageous for constructing a long tunnel than blast excavation.

The drilling equipment 110 includes such a TBM, and functions to measure and collect feed pressure, rotational pressure, impact pressure, excavation speed, etc. applied to the drill rod of a hydraulic jackhammer (= jumbo drill machine) in real time during excavation. do.

To this end, the drilling equipment 110 includes a sensor system such as an impact pressure sensor (not shown), a rotational pressure sensor (not shown), a feed pressure sensor (not shown), and an excavation speed sensor (not shown) mounted on the jumbo drill machine. , A microprocessor (not shown) that receives and processes data from the sensor system, a memory (not shown) that stores data, programs, etc., transmits collected data, processed data, etc. to the management server 130 through the network 120. A communication circuit (not shown) may be configured.

Therefore, the data collected by the drilling equipment 110 is also analyzed and displayed as a graph according to the drilling depth, and a specific area of the graph can be enlarged or converted to Excel, and the drilling energy or drilling energy according to the drilling depth can be used using the collected data. By calculating the torque resistance, it is possible to quantitatively predict and evaluate the front of the face, and to understand the relationship with rock characteristics. In other words, excavation data and/or ground data may be generated by the excavation equipment 110 .

The network 120 performs a communication connection for transmitting data generated by the excavation equipment 110 to the management server 130 . Of course, data transmission may be performed in real time through communication, or a method of transferring the storage medium in which data is stored to the terminal 140 after the work is in progress is also possible.

Accordingly, the network 120 refers to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers, such as a public switched telephone network (PSTN), a public switched data network (PSDN), and a comprehensive information communication network. (ISDN: Integrated Services Digital Networks), Broadband ISDN (BISDN), Local Area Network (LAN), Metropolitan Area Network (MAN), Wide LAN (WLAN), etc. This may be, however, the present invention is not limited thereto, and wireless communication networks CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), Wibro (Wireless Broadband), WiFi (Wireless Fidelity), HSDPA ( It may be a High Speed Downlink Packet Access) network, a Bluetooth network, a Near Field Communication (NFC) network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, and the like. Alternatively, it may be a combination of these wired communication networks and wireless communication networks.

The management server 130 performs a function of generating correlation analysis data based on excavation data and ground data. Of course, in addition to this, it performs the function of providing analysis data. A database 131 is configured to store excavation data, ground data, analysis data, and the like. The database 131 may be configured within the management server 130 itself or may be configured as a separate database server.

The terminal 140 may be a terminal used by a user of the leading equipment 110, and performs a function of outputting information transmitted from the management server 130. Of course, it is also possible to transmit the data generated by the excavation equipment 110 to the management server 130 by moving the terminal 140 through a removable storage medium.

FIG. 2 is a detailed block diagram of the management server 130 shown in FIG. 1 . Referring to FIG. 2 , the management server 130 may include a communication unit 210, a collection unit 220, a reading unit 230, an analysis unit 240, an output unit 250, and the like.

The communication unit 210 performs a function of being connected to the communication network 120 through wired or wireless communication. To this end, a microprocessor, modem, LAN card, circuit, etc. are configured.

The collecting unit 220 performs a function of collecting and storing information such as excavation data and ground data acquired through the communication unit 210 in the database 131 .

The reading unit 230 performs a function of extracting corresponding data from the database 131, integrating them, and storing them in the integrated database 122.

The analysis unit 240 performs a function of generating correlation analysis data based on excavation data and ground data. In addition, it performs a function of generating and providing information such as an analysis graph based on excavation data and/or ground data.

The output unit 250 performs a function of displaying information processed by the collection unit 220, the reading unit 230, the analysis unit 240, and the like. Accordingly, the output unit 250 may generate notification information using a combination of text, voice, and graphics. To this end, the output unit 250 may include a display, a sound system, and the like.

The display may be a liquid crystal display (LCD), a light emitting diode (LED) display, a plasma display panel (PDP), an organic LED (OLED) display, a touch screen, a cathode ray tube (CRT), a flexible display, or the like. In the case of a touch screen, it can function as an input means.

The collection unit 220, the reading unit 230, and the analysis unit 240 shown in FIG. 2 refer to units that process at least one function or operation, and may be implemented in software and/or hardware. In hardware implementation, ASIC (application specific integrated circuit), DSP (digital signal processing), PLD (programmable logic device), FPGA (field programmable gate array), processor, microprocessor, other It may be implemented as an electronic unit or a combination thereof.

In software implementation, software component components (elements), object-oriented software component components, class component components and task component components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, data , databases, data structures, tables, arrays, and variables. Software, data, etc. may be stored in memory and executed by a processor. The memory or processor may employ various means well known to those skilled in the art.

FIG. 3 is a detailed block diagram of the terminal 140 shown in FIG. 1 . Referring to FIG. 3 , the terminal 140 may include a control unit 310, a communication unit 320, a memory unit 330, a power supply unit 340, an input unit 350, an output unit 360, and the like. have.

The control unit 310 is a unit that executes various software or instruction sets to perform various functions for the terminal and processes data. The controller 310 may be implemented by a microprocessor or the like.

The communication unit 320 is connected to the management server 140 through communication through the network 120 . Communication can be wired or wireless. Also, the communication unit 320 may use various communication protocols for wireless communication.

The memory unit 330 is a unit for storing software, command sets, or data for operating the terminal. The memory unit 330 is connected to the control unit 310 . The memory unit 330 includes a random access memory (RAM), a magnetic disk, a flash memory, a static random access memory (SRAM), and a read only memory (ROM). , EEPROM (Electrically Erasable Programmable Read Only Memory), PROM (Programmable Read Only Memory), etc., but is not limited thereto.

The power supply unit 340 performs a function of providing stable power to components within the terminal 140 . To this end, the power supply unit 340 may include a power supply, a converter, and a switching element.

The input unit 350 is a unit for receiving information from a user of a terminal using visual, auditory, tactile, and the like. The input unit 350 may include a touch sensor for receiving information using a user's touch, a button for receiving input by pressing one key, a keyboard for receiving input by pressing a plurality of keys, and a microphone for receiving voice input.

The touch sensor may be connected to a display that is one of the output units 360 to form a touch screen. The touch screen may detect one or more touch points on the touch screen based on any phenomenon that can be measured capacitively, resistively, optically, acoustically, inductively, mechanically, or chemically.

The output unit 360 is a unit for providing information to the user of the collection device using visual, auditory, and tactile senses. The output unit 360 may include a display unit or light unit that provides visual information, a vibration unit that provides tactile information, and a speaker that provides auditory information, but is not limited thereto. not. A display displays information on a screen.

Displays are implemented with various display panels, such as Liquid Crystal Display (LCD), Organic Light Emitting Diode (OLED), and Thin Film Transistor Liquid Crystal Display (TFT-LCD). It may be, but is not limited thereto. A light includes a luminous body. Lights can provide information by changing color or blinking.

Figure 4 is a flow chart showing a process of automatically analyzing the correlation between excavation data according to an embodiment of the present invention. Referring to FIG. 4 , ground data and excavation data are generated (step S410). Ground data and/or excavation data may be generated by the excavation equipment 110 or may be used by the terminal 140 . In other words, it may be automatically generated using a sensor system installed in the excavation equipment 110, or a user may manually generate ground data and excavation data and input them through the terminal 140.

Thereafter, a process of registering information on the field outline proceeds (step S420). To elaborate, register information such as site name, start and end point, construction period, tunnel extension tunnel section, company information (constructor, designer, supervisor) of the tunnel site, and site-related data (construction status, ground report, etc.) into a database ( 131) to register tunnel site information.

Thereafter, a process of registering information on field equipment proceeds (step S430). In other words, based on the inspection report and design of the drilling equipment (110) put into the tunnel site, the equipment manufacturer, type, specifications, cutter head specifications (torque, RPM, power), cutter and bit configuration, shield jack specifications is registered, and data related to drilling equipment (inspection report, equipment drawing, etc.) is uploaded to the database 131.

Thereafter, a process of registering drilling information proceeds (step S440). In other words, the drilling information of the excavation section is uploaded to the database 131 through a ground investigation report (borehole data) for the site.

Thereafter, a process of registering rock mass classification information proceeds (step S450). In other words, the rock types and rock masses of the excavation section are classified and uploaded to the database 131 through the ground investigation report (geological longitudinal section) for the site.

Thereafter, a process of registering field excavation data proceeds (step S460). In other words, the daily excavation (operation) report recorded at the tunnel site, the excavation data output from the excavation equipment 110 (excavation length, excavation time, excavation speed, number of revolutions of the cutter head, torque, thrust, pressure of the shield jack, use The number of jacks, equipment output, etc.) are uploaded to the database 131 in units of rings.

Thereafter, the process of analyzing the data proceeds (step S470). In other words, the analysis is performed based on the built database 131 and the results are shown in a graph. Types of graphs include torque curve curve analysis, data analysis by location, and correlation analysis.

Then, the analysis result is displayed on the screen (step S480).

5 is an example of a screen for registering the derived main factors according to an embodiment of the present invention. Referring to FIG. 5, it is an example of a screen for registering main factor data affecting excavation. The screen consists of drilling information (i.e. ground data) and machine data (i.e. excavation data). Soil data includes borehole number, borehole location, ring number, rock classification, compressive strength, tensile strength, TCR (Total Core Recovery), RQD (Rock Quality Designation), rock permeability test (Lugeon), and RMR (Rock) to identify boreholes. Mass Rating) and the like. RMR is a method of classifying and evaluating rock masses by giving scores for six variables that can be obtained from field or drilling data: rock strength, RQD, discontinuity, discontinuity, discontinuity, groundwater condition, and relative direction of discontinuity.

Drilling data consists of basic information such as ring number, start point, end point, total distance, borehole, operation mode, rock classification, net drilling rate and pipe leaf depth, rotational speed and number of revolutions, thrust, torque, head power, etc. It can be. The operating mode consists of an open method, an EPB (Earth Pressure Balanced) method capable of responding to high water pressure, and a slurry method.

6 is an example of a screen showing the current status of each constructed tunnel site according to an embodiment of the present invention. Referring to FIG. 6, information such as a management number having a unique number for identifying an excavation site, a site name, a start and end point of excavation, and a period may be displayed. That is, big data is created. Through this, it is possible to prevent data confusion and damage by site. Therefore, it is possible to provide reliability in data construction and management compared to the prior art.

7 is a screen example of a downloaded Excel file according to an embodiment of the present invention. Referring to Figure 7, the management server 130, when the user selects only the desired main factor from the big data for the excavation information through the terminal 140, the management server 130 is a single push the Excel file showing only the selected main factor Send to (140). In FIG. 7 , the user selects the total distance, rock type, driving mode, excavation length, rotational speed, left turn, etc. from excavation data, and uniaxial strength, TCR, RMR, Lugeon, absorptance, elastic wave, deformation coefficient, etc. When selected, this is the information displayed in the Excel file.

8 is a graph analyzing a torque curve of a drilling equipment according to an embodiment of the present invention. Referring to FIG. 8, it is an example of generating a graph by mutually linking data affecting excavation. That is, based on the torque of the drilling equipment, the rotational speed of the cutter head, and power, information such as the operating state of the drilling equipment is provided to the user. The built excavation data (torque, cutter head rotation speed, power) is automatically plotted within this equipment performance curve, and the user can immediately recognize the operating situation of the TBM equipment, and more efficient and optimized operating conditions for the next construction. can present

8, a torque curve graph 810 of cutter head average torque and cutter head rotation speed (RPM: Revolutions per minute) and a relationship graph between equipment output (HP) and cutter head rotation speed (RPM: Revolutions per minute) 820 is displayed.

9 is a data analysis graph for each ring position according to an embodiment of the present invention. Referring to FIG. 9, in the case of data analysis by ring position, based on the database established by site, the main factors affecting excavation (pressing depth, torque, RPM, thrust, etc.) are extracted by segment ring position, and a graph is obtained. show Through the derived graph, it is possible to automatically grasp the excavation status by ring position according to the type of rock at the tunnel site. Referring to FIG. 9, when the carcinoma is hard cancer, the indentation depth is 3.5 to 4.0 mm/rev. Of course, in FIG. 9 , as an example, the vertical axis can be varied with torque, RPM, thrust, and the like. Of course, the horizontal axis is fixed by the ring number.

10 is an example of a selection screen for correlation analysis for each major factor according to an embodiment of the present invention. Referring to FIG. 10, it is classified into mechanical factors (press-in depth, torque thrust, etc.), which are excavation data that affect excavation, and ground factors (uniaxial compressive strength, rock mass characteristics such as RQD), which are ground data, and the user selects the two factors If selected, a correlation graph between the two factors is shown, so that the user can acquire various design formulas and reflect them in the next design and/or construction. As shown in FIG. 10 , the correlations can be combined into Mechanical Factor VS Mechanical Factor, Ground Factor VS Mechanical Factor, Ground Factor VS Ground Factor.

11 is a correlation analysis graph for each major factor according to an embodiment of the present invention. Referring to FIG. 11, if the user selects penetration depth as a ground factor and total thrust as a machine factor on the screen of FIG. 10, the horizontal axis is the penetration depth and the vertical axis is the total thrust, and the points are distributed on a plane. do.

In one embodiment of the present invention, the configuration screen menu of the management server 130 may be largely composed of files, data input and correction, data view, data analysis, and tools. The file menu may include login/logout, setting functions, and the like.

The data input and modification menu can be composed of field overview, drilling equipment, drilling results, rock classification, and field input data so that users can classify and manage data efficiently. The data view menu can be equipped with a function for the user to view the built data and a function for extracting only the desired data as an Excel file.

The data analysis menu can be equipped with a torque curve function that can determine the operation status of drilling equipment, a function that can graph various data by location, and a function that analyzes the correlation between each data. User management, code management, and bedrock constant value management functions may be installed in the tool menu.

12 is a screen example showing a site outline registration sequence according to an embodiment of the present invention. Referring to FIG. 12, the site name, starting point, construction period, tunnel extension tunnel section, and company information (constructor, designer, supervisor) of the tunnel site are registered, and site-related data (construction status, ground report, etc.) are stored in the system. By uploading, the tunnel site information is registered in the database 131 of the management server 130. The order of registration is as follows.

① Click the "New" button.

② Click the "Create" button and create the "Site Overview".

③ Click the "…" button, and find and register the equipment put into the site among the TBM equipment registered in the program.

④ Click the "Register" button.

⑤ Click the "Add" button, then click the "..." button to save the site data (site status, ground investigation report, excavation data, etc.) after uploading.

⑥ When you double-click a file, you can view and save it.

13 is a screen example showing a procedure for registering new excavation equipment according to an embodiment of the present invention. Referring to FIG. 13, based on the inspection report and drawings of the TBM equipment put into the tunnel site, the equipment manufacturer, type, specifications, specifications of the cutter head (torque, RPM, power), configuration of the cutter and bit, and specifications of the shield jack and TBM equipment-related data (inspection report, equipment drawing, etc.) are registered in the database 131. Here's a look at the order:

① Click the "New" button.

② For new equipment, click the "Create New" button and create "TBM Outline".

③ In case of reusable equipment, check the box of "Modification", click the "Create new" button, and create "TBM outline".

④ Click the "Register" button.

14 is a screen example showing a drilling equipment history management sequence after registration according to an embodiment of the present invention. Referring to FIG. 14, a history of reused TBM equipment is registered by creating a history of use and a history of remodeling. Here's a look at the order:

① In case of equipment modification history registration and management, click the "Add History" button.

② After creating the reward information (year, contents, etc.), click the "Add" button.

③ For registration and management of usage history, click the "Add History" button

④ After writing the usage history, click the "Add" button.

⑤ In case of registering reference data, click the "Add" button, then click the "..." button to upload equipment data (equipment inspection report, equipment drawing, parts report, etc.) and save it.

⑥ When you double-click a file, you can view and save it.

15 is a screen example showing a procedure for registering coring information according to an embodiment of the present invention. Referring to FIG. 15, the drilling information of the TBM section is registered in the database 131 through a ground investigation report (borehole data) for the corresponding site. The order of registration is as follows.

① Click the "…" button to select the relevant site.

② Click the "New" button.

③ Click the "Upload File" button.

④ Click the "Click here" button.

⑤ Select Drilling DB Construction Excel Form Download.

16 is an example of a coring information registration and management screen according to an embodiment of the present invention. Referring to FIG. 16, a process of creating and uploading the downloaded Excel form in FIG. 15 is shown. Here's a look at the order:

① Click the "…" button to upload the drilling information excel file organized according to the format.

② Click the "Loading..." button.

③ Click the "Save" button.

Of course, similar to FIGS. 15 and 16, rock mass classification can also be registered. In other words, carcinoma and bedrock of the TBM section are classified and registered in the database 131 through a ground investigation report (geological longitudinal section) for the site.

17 is a screen example showing a field excavation data registration procedure according to an embodiment of the present invention. 17, excavation data (excavation length, excavation time, excavation speed, number of revolutions of the cutter head, torque, Thrust, shield jack pressure, number of used jacks, equipment output, etc.) are registered in the database 131. The order of registration is as follows.

① Click the "…" button to select the relevant site.

② Click the "New" button.

③ Click the "Upload File" button.

④ Click the "Click here" button.

⑤ Select Machine Excavation DB Construction Excel Form Download. Fill out the excel form and upload it. The upload method is similar to that of FIG. 16 .

18 is a screen example showing correlation analysis for each major factor according to an embodiment of the present invention. Referring to FIG. 18, in the correlation analysis figure for each major factor, 8 variables (penetration depth, net drilling rate, rotational speed, torque, power, total thrust, FPI, SE) among “mechanical factors” and 9 among “ground factors” It means to derive (draw) a graph by freely selecting two variables (uniaxial strength, tensile strength, TCR, RQD, RMR, LUGEON, water absorption, elastic wave, strain factor). Correlation can be derived using user-built data. The range of conditions for the x-axis and y-axis of the drawn graph can be limited, and the average value drawing function can be included. There are no specific formulas (formulas) and algorithms.

Referring to FIG. 18, the order is as follows.

① Click the "…" button to select the relevant site and click the "Search" button.

② Search equipment and ground data of the registered site.

③ Select the extraction data for each excavation factor and click the "Draw" button.

④ Analyze correlations using equipment and ground data.

In FIG. 18, correlation analysis for each major factor is exemplified, but torque curve curve analysis and data analysis for each ring position are similarly performed.

In addition, the steps of a method or algorithm described in connection with the embodiments disclosed herein are implemented in the form of program instructions that can be executed through various computer means such as a microprocessor, processor, CPU (Central Processing Unit), etc. It can be recorded on any available medium. The computer readable medium may include program (instruction) codes, data files, data structures, etc. alone or in combination.

The program (command) code recorded on the medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs, DVDs, and Blu-rays, and ROMs and RAMs ( A semiconductor storage element specially configured to store and execute program (instruction) codes such as RAM), flash memory, or the like may be included.

Here, examples of the program (command) code include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine code generated by a compiler. The hardware devices described above may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

100: Automated analysis system for correlation between excavation data
110: drilling equipment
120: network
130: management server
140: terminal
210,320: Ministry of Communications
220: collection unit
230: reading unit
240: analysis unit
250, 360: output unit
310: control unit
330: memory unit
340: power supply
350: input unit

Claims (14)

Drilling equipment 110 for generating drilling data;
A terminal 140 receiving ground data; and
A management server 130 generating analysis result data based on the excavation data and the ground data;
The drilling data includes ring number, drilling length, drilling time, drilling speed, number of revolutions of the cutter head, torque, thrust, pressure of the shield jack, number of jacks used, and equipment output,
The ground data includes borehole number, drilling location, ring number, rock classification, compressive strength, tensile strength, TCR (Total Core Recovery), RQD (Rock Quality Designation), rock permeability test (Lugeon), and RMR for identifying boreholes. (Rock Mass Rating),
In order to generate big data, the excavation data and the ground data are classified and built by major factors affecting excavation.
delete delete According to claim 1,
The analysis result data is at least one of a torque curve curve analysis of the excavation equipment, data analysis for each ring position, and correlation analysis.
According to claim 4,
The torque curve curve analysis is an automated analysis system for correlation between excavation data, characterized in that the two data that affect the excavation among the excavation data are generated as a graph by linking with each other.
According to claim 4,
The data analysis by ring location is an automated analysis system of correlation between excavation data, characterized in that by extracting two or more data affecting the excavation among the excavation data by segment ring location and generating a graph.
According to claim 4,
The correlation data analysis is classified into a machine factor, which is the excavation data, and a ground factor, which is the ground data, which affect the excavation, and the machine factor vs. the machine factor, the machine factor vs. the ground factor , and the ground factor versus (versus) automatic analysis system for correlation between excavation data, characterized in that for generating a graph of one of the ground factors.
(a) the drilling equipment 110 generating drilling data;
(b) receiving ground data by the terminal 140; and
(c) generating, by the management server 130, analysis result data based on the excavation data and the ground data;
The drilling data includes ring number, drilling length, drilling time, drilling speed, number of revolutions of the cutter head, torque, thrust, pressure of the shield jack, number of jacks used, and equipment output,
The ground data includes borehole number, borehole location, ring number, rock classification, compressive strength, tensile strength, total core recovery (TCR), rock quality designation (RQD), rock permeability test (Lugeon), and RMR for identifying boreholes. (Rock Mass Rating),
In order to generate big data, the excavation data and the ground data are classified and constructed by major factors affecting excavation.
delete delete According to claim 8,
The analysis result data is an automated analysis method of correlation between drilling data, characterized in that at least one or more of torque curve curve analysis of the drilling equipment, data analysis by ring position, and correlation analysis.
According to claim 11,
The torque curve curve analysis is an automated analysis method of correlation between excavation data, characterized in that for generating a graph by linking two data that affect the excavation among the excavation data. According to claim 11,
The data analysis by ring location is an automated analysis method of correlation between excavation data, characterized in that by extracting two or more data affecting the excavation among the excavation data by segment ring location and generating a graph.
According to claim 11,
The correlation data analysis is classified into a machine factor, which is the excavation data, and a ground factor, which is the ground data, which affect the excavation, and the machine factor vs. the machine factor, the machine factor vs. the ground factor , And the ground factor versus (versus) Automated analysis method of correlation between excavation data, characterized in that for generating a graph of one of the ground factors.

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