A method for constructing high-precision transparent three-dimensional geological models based on artificial intelligence

Abstract

The invention discloses a method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence, and relates to the technical field of geological models. The invention comprises a main control console, a relay network, a plurality of acoustic wave modules, h mobile terminals, a track robot and a plurality of geological modules, the main control console comprises an analysis unit and a display module, a port of the analysis unit is connected to a port of the relay network, an output end of the analysis unit is connected to an input end of the display module, a port of the relay network is respectively connected to a port of the acoustic wave module and a port of the mobile terminal, and a port of the acoustic wave module is respectively connected to a port of the track robot and a port of the mobile terminal, and the invention can realize accurate positioning of the mobile terminal and the track robot in the three-dimensional geological model by executing a spatial analysis program and a spatial positioning program, improve the display accuracy of the three-dimensional geological model, construct a correlation network by artificial intelligence technology, and the system can intelligently identify abnormal events in the background and give early warnings.

Description

Technical Field

[0001] The present invention relates to the technical field of geological models, and in particular to a method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence. Background Art

[0002] The transparent geological 3D model is a model that can intuitively display the geological structure. It has the characteristics of high transparency and 3D visualization. It is the basic carrier for realizing transparent mining. It obtains geological data through geological exploration, geophysical detection, drilling sampling and other means, including information such as stratum thickness, lithology, structural characteristics, and mineral distribution. Professional 3D modeling software is used to construct a transparent geological 3D model based on the processed data. It is mainly used in various stages of mine exploration, mining and transportation.

[0003] The existing geological three-dimensional model is merely a combination of multiple geological data. During the mining process, the data of the geological model will not change much. The update speed of the three-dimensional geological model for display is too slow. In addition, the accuracy of the three-dimensional geological model obtained by traditional data processing cannot meet production needs. The display function is single and cannot transmit and display information in a timely and effective manner. Therefore, improving the accuracy of transparent geological three-dimensional models and broadening the application scope of transparent geological three-dimensional models based on artificial intelligence are technical problems that technical personnel in this field need to solve. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above purpose, the present invention is implemented through the following technical solutions: a high-precision transparent three-dimensional geological model construction method based on artificial intelligence, including a main control console, a relay network, a plurality of acoustic wave modules, h mobile terminals, a track robot and a plurality of geological modules, the main control console includes an analysis unit and a display module, the port of the analysis unit is connected to the port of the relay network, the output end of the analysis unit is connected to the input end of the display module, the port of the relay network is respectively connected to the port of the acoustic wave module and the mobile terminal, the port of the acoustic wave module is respectively connected to the port of the track robot and the mobile terminal, the output end of the geological module is connected to the input end of the relay network, and the output end of the relay network is connected to the input end of the track robot;

[0006] The rail robot is suspended on the top rail in the mine, the rail robot and the mobile terminal are both integrated with a pickup and a broadcasting module, and the mobile terminal is integrated with an inertial module;

[0007] The construction method includes the following steps:

[0008] Step 1: Manual measurement. Workers use measuring tools to map the mine. The measuring tools include laser rangefinders and inclinometers. The laser rangefinder is used to measure the length, width and height of the mine. The inclinometer is used to measure the deflection angle of the ground centerline of the mine. Workers input the mapping data into the mobile terminal. The mapping data includes the length, width, height and deflection angle of the ground centerline of the mine. The mobile terminal uploads the mapping data to the analysis unit through the relay network.

[0009] Step 2: Setting up calibration points. The analysis unit executes a spatial analysis program to obtain a spatial coordinate system and calibration points. The analysis unit transmits the spatial coordinate system and calibration points to a mobile terminal for staff to view. The staff installs an acoustic wave module at each calibration point. The calibration point is located on a wall on one side of the mine.

[0010] Step 3: Establishing a digital model, the analysis unit executes a spatial positioning program to obtain the spatial coordinates of each mobile terminal and the track robot, and the analysis unit inputs the spatial coordinates of all mobile terminals and the track robot into the spatial coordinate system to obtain a digital model;

[0011] Step 4: Geological exploration. The analysis unit sets up a collection point inside the mine based on the digital model. The total distance between the collection point and all calibration points is the lowest. The analysis unit transmits the collection point to the mobile terminal through the relay network for the staff to view. The staff installs the geological module on the collection point. The staff sets up the TEM57-MK2 model transmitting coil on the ground. The transmitting coil sends a transient electromagnetic signal. The geological module is specifically a PROTEM receiver of the transient electromagnetic instrument. The geological module obtains the transient electromagnetic signal sent by the transmitting coil. The geological module converts the transient electromagnetic signal into a geological distribution map based on the transient electromagnetic method. The geological module uploads the geological distribution map to the analysis unit through the relay network. The analysis unit inputs the geological distribution map into the digital model to obtain the geological model. The analysis unit transmits the geological model to the display module. The display module displays the geological model. The geological model is a transparent three-dimensional structure, which is easy to observe for the staff of the main control console to view;

[0012] Step 5: Construct a correlation network. The analysis unit divides the geological model into a intervals and assigns interval numbers. The analysis unit executes a correlation analysis program to obtain the correlation index k between each mobile terminal and each interval. The correlation index k between all mobile terminals and intervals constitutes a correlation network. The correlation index k in the correlation network is synchronously updated after the mobile terminal moves. The correlation network is based on artificial intelligence technology and realizes intelligent early warning of abnormal events by analyzing the correlation index between each mobile terminal and each interval.

[0013] The analysis unit presets a trigger threshold. After the mobile terminal is displaced, the inertial module detects that the mobile terminal has been displaced. The inertial module is an acceleration sensor. Any acceleration sensor on the market that meets the acceleration acquisition function can be used. The specific model is not limited here. The analysis unit recalculates the association index k between the displaced mobile terminal and each interval. If the difference between the recalculated association index k and the association index k that has not been updated in the previous association network is greater than 20% of the trigger threshold, it means that the behavior of the staff corresponding to the mobile terminal is abnormal, which is an abnormal event. The analysis unit pushes the warning information to the display module for the staff of the main control console to view;

[0014] Step 6: Emergency rehearsal. The staff at the main control desk inputs the emergency rehearsal plan into the analysis unit. The analysis unit sends the emergency instructions to the mobile terminal and the track robot through the relay network. The broadcast modules of the track robot and the mobile terminal both sound an alarm to remind the staff to evacuate. After the alarm is sounded, the relay network detects the spatial coordinates of the mobile terminal that has not moved in the geological model. The relay network transmits the spatial coordinates of the mobile terminal that has not moved to the track robot. The track robot moves to the vicinity of the mobile terminal in order from near to far and drives the broadcast module to sound an alarm again.

[0015] Furthermore, the spatial analysis procedure specifically includes the following steps:

[0016] Step 21: The analysis unit takes the entrance of the mine as the base point;

[0017] Step 22: The analysis unit creates a cross-sectional sketch based on the width and height of the mine;

[0018] Step 23: When the deflection angle of the ground centerline is zero, the analysis unit continues to accumulate the length of the mine until the deflection angle of the ground centerline is not zero, and then stops. The analysis unit generates a mine model from the cross-section sketch according to the accumulated length. The generation direction of the mine is parallel to the direction of the ground centerline. The analysis unit marks the position of the mine where the length accumulation stops as a turning point.

[0019] Step 24: The analysis unit repeats steps 22 to 23 until the length of the mine is completely accumulated, and then stops repeating. The analysis unit sequentially combines all generated mine models to form a spatial coordinate system, and the origin of the spatial coordinate system is the base point in step 21;

[0020] Step 25: The analysis unit counts the number of turning points b, calculates the average length of the mine between all turning points as c, calculates the average width d of all cross-sectional sketches, and calculates the average height e of all cross-sectional sketches. The average values ​​c, d, and e are obtained by summing the length, width, and height of the mine between the turning points and dividing by (b-1);

[0021] Step 16: Analyze the cells according to the formula The number of calibration points f between each turning point is obtained by rounding. The analysis unit divides the length of the mine between each turning point by (f+1) to obtain the spacing between each calibration point. The specific position of each calibration point can be determined by knowing the length of the mine between each turning point and the spacing between each calibration point.

[0022] Furthermore, the sound wave module is composed of a microphone and four speakers, the four speakers are distributed in a circle, the lines connecting the centers of the four speakers are perpendicular to each other, the line connecting the centers of the speakers and the centers of the circles, the microphone is located at the center of the circle, the sound wave propagation direction of the speakers is opposite to the direction of the center of the circles, and the broadcast frequencies of the four speakers are different, which are 12k Hz, 14k Hz, 15.5k Hz and 16.5k Hz in the four directions of front, top, back and bottom respectively;

[0023] The format of the calibration point information is (X0000Y0000XZ0000), and the format of the spatial coordinates is (00X0000Y0000XZ0000), where X, Y, and Z represent the x-axis coordinate, y-axis coordinate, and z-axis coordinate of the calibration point information and the spatial coordinates in the spatial coordinate system, respectively. The two digits before X represent the device numbers of the mobile terminal and the track robot. Each device number is unique and preset in advance to facilitate identification of the corresponding device. The four digits after X, Y, and Z represent the specific values ​​of the corresponding coordinates.

[0024] The spatial positioning procedure specifically includes the following steps:

[0025] Step 31: The analysis unit sends a positioning instruction to all sound wave modules. All sound wave modules broadcast in order from high to low in the spatial coordinate system. The speakers in the sound wave modules convert their own calibration point information into sound waves of different frequencies for playback based on CODE128Auto.

[0026] Step 32: The microphones of the track robot and the mobile terminal capture the sound waves played by the speakers. The mobile terminal and the track robot sort the sound waves emitted by each speaker according to the volume to obtain a volume sequence. The track robot and the mobile terminal convert the sound waves in the volume sequence into calibration point information through CODE128 Auto.

[0027] Step 33: The mobile terminal and the track robot mark the calibration points corresponding to the first and second digits of the volume sequence as the first reference and the second reference respectively. According to the transmission of the sound wave, the volume decreases with the increase of the distance. The specific positions of the mobile terminal and the track robot are located between the first reference and the second reference. The mobile terminal and the track robot calculate the volume difference g1 between the first and second digits of the volume sequence. The volume difference g1 is the volume difference in the front and back directions of the sound wave module. By calculating the volume difference and then comparing the distance between the two sound wave modules in proportion, the spatial coordinates of the mobile terminal and the track robot in the front and back directions can be calculated. The mobile terminal and the track robot calculate the volume difference g2 between the first reference and the second reference at a frequency of 14 kHz. The mobile terminal and the track robot calculate the volume difference g3 between the first reference and the second reference at a frequency of 16.5 kHz.

[0028] Step 34: The mobile terminal and the track robot define the first reference position information as (x1, y1, z1), and define the second reference position information as (x2, y2, z2), according to the formula Calculate and obtain the spatial coordinates of the mobile terminal and the track robot;

[0029] Step 35: The mobile terminal and the track robot convert their own spatial coordinates into sound waves based on CODE128 Auto and play them through the broadcast module. The microphone of the sound wave module located near the mobile terminal and the track robot obtains the sound waves played by the broadcast module. The sound wave module converts the obtained sound waves into device numbers and spatial coordinates based on CODE128 Auto. The sound wave module transmits the device number and the corresponding spatial coordinates to the analysis unit through the relay network.

[0030] Among them, CODE128 Auto is the data type conversion format of the barcode. After the information and spatial coordinates of the calibration point are converted into the barcode, the speaker and the broadcast module synchronously change the on and off time of the broadcast according to the width of the vertical lines from left to right on the barcode, thereby using the sound wave as a carrier of data transmission to realize data communication between the sound wave module, the mobile terminal and the track robot.

[0031] Furthermore, the correlation analysis procedure specifically includes the following steps:

[0032] Step 51: The analysis unit counts the residence time of each mobile terminal in each interval as Tij, where i represents the number of the mobile terminal, i=(1, 2, 3..., h), and j represents the interval number of the interval, i=(1, 2, 3..., a);

[0033] Step 52: The analysis unit counts the number of times n each mobile terminal appears in each interval, and assigns a frequency index Wj in descending order. The initial value of Wj is 0.8, and it decreases with decreasing order of the number of times, and each decreasing value is 0.03.

[0034] Step 53: The analysis unit sets a range index Pj for each mobile terminal according to the formula Calculate the specific range index Pj of each mobile terminal. Pj represents the activity range of the staff wearing the mobile terminal in the mine. The larger the range index Pj, the larger the activity range of the staff and the more frequent the activity frequency. Conversely, the smaller the range index Pj, the smaller the activity range of the staff and the less frequent the activity frequency.

[0035] Step 54: Analyze the cells according to the formula The association index k between each mobile terminal and each interval is calculated, where r is a counting variable, r takes values ​​from 1 to a, e1, e2 and e3 are weight coefficients, and the condition e1+e2+e3=1 is satisfied. The specific values ​​of e1, e2 and e3 are determined according to the number of staff members h and the number of intervals a.

[0036] The present invention has the following beneficial effects:

[0037] 1. By executing the spatial analysis program and the spatial positioning program, the mobile terminal and the track robot can be accurately positioned in the three-dimensional geological model, thereby improving the display accuracy of the three-dimensional geological model.

[0038] 2. By building a correlation network through artificial intelligence technology, the system can intelligently identify abnormal events in the background and issue early warnings.

[0039] 3. Based on the high-precision positioning of rail robots and mobile terminals, regular emergency drills can be realized. When a disaster occurs, rail robots and mobile terminals can respond immediately, evacuate personnel urgently, and ensure the safety of workers in the mine.

[0040] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0042] Figure 1 This is a system block diagram of the method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence in the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1 The present invention provides a technical solution: a method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence, comprising a main control console, a relay network, a plurality of acoustic wave modules, h mobile terminals, a track robot and a plurality of geological modules, the main control console comprising an analysis unit and a display module, a port of the analysis unit being connected to a port of the relay network, an output end of the analysis unit being connected to an input end of the display module, a port of the relay network being respectively connected to a port of the acoustic wave module and a port of the mobile terminal, a port of the acoustic wave module being respectively connected to a port of the track robot and a port of the mobile terminal, an output end of the geological module being connected to an input end of the relay network, and an output end of the relay network being connected to an input end of the track robot;

[0045] The rail robot is suspended on the top rail in the mine. The rail robot and the mobile terminal are both integrated with a pickup and broadcast module, and the mobile terminal is integrated with an inertial module.

[0046] The construction method includes the following steps:

[0047] Step 1: Manual measurement. Workers use measuring tools to map the mine. The measuring tools include laser rangefinders and inclinometers. The laser rangefinder is used to measure the length, width and height of the mine. The inclinometer is used to measure the deflection angle of the ground centerline of the mine. Workers input the mapping data into the mobile terminal. The mapping data includes the length, width, height and deflection angle of the ground centerline of the mine. The mobile terminal uploads the mapping data to the analysis unit through the relay network.

[0048] Step 2: Set up calibration points. The analysis unit executes the spatial analysis program to obtain the spatial coordinate system and calibration points. The analysis unit transmits the spatial coordinate system and calibration points to the mobile terminal for the staff to view. The staff installs an acoustic wave module at each calibration point. The calibration point is located on the wall on one side of the mine.

[0049] Step 3: Establishing a digital model, the analysis unit executes a spatial positioning program to obtain the spatial coordinates of each mobile terminal and the track robot, and the analysis unit inputs the spatial coordinates of all mobile terminals and the track robot into the spatial coordinate system to obtain a digital model;

[0050] Step 4: Geological exploration. The analysis unit sets a collection point inside the mine based on the digital model. The total distance between the collection point and all calibration points is the lowest. The analysis unit transmits the collection point to the mobile terminal through the relay network for the staff to view. The staff installs the geological module on the collection point. The staff sets up the TEM57-MK2 model transmitting coil on the ground. The transmitting coil sends a transient electromagnetic signal. The geological module is specifically a PROTEM receiver of the transient electromagnetic instrument. The geological module obtains the transient electromagnetic signal sent by the transmitting coil. The geological module converts the transient electromagnetic signal into a geological distribution map based on the transient electromagnetic method. The geological module uploads the geological distribution map to the analysis unit through the relay network. The analysis unit inputs the geological distribution map into the digital model to obtain the geological model. The analysis unit transmits the geological model to the display module. The display module displays the geological model. The geological model is a transparent three-dimensional structure, which is easy to observe for the staff of the main control console to view. By executing the spatial analysis program and the spatial positioning program, the mobile terminal and the rail robot can be accurately positioned in the three-dimensional geological model, thereby improving the display accuracy of the three-dimensional geological model.

[0051] Step 5: Construct a correlation network. The analysis unit divides the geological model into a intervals and assigns interval numbers. The analysis unit executes a correlation analysis program to obtain the correlation index k between each mobile terminal and each interval. The correlation index k between all mobile terminals and intervals constitutes a correlation network. The correlation index k in the correlation network is synchronously updated after the mobile terminal moves. The correlation network is based on artificial intelligence technology and realizes intelligent early warning of abnormal events by analyzing the correlation index between each mobile terminal and each interval.

[0052] The analysis unit presets a trigger threshold. After the mobile terminal is displaced, the inertial module detects the displacement of the mobile terminal. The inertial module is an acceleration sensor. The analysis unit recalculates the correlation index k between the displaced mobile terminal and each interval. If the difference between the recalculated correlation index k and the correlation index k that has not been updated in the previous correlation network is greater than 20% of the trigger threshold, it means that the behavior of the staff corresponding to the mobile terminal is abnormal, which is an abnormal event. The analysis unit pushes the warning information to the display module for the staff of the main control console to view. By building a correlation network through artificial intelligence technology, the system can intelligently identify abnormal events in the background and issue warnings in advance.

[0053] Step 6: Emergency rehearsal. The staff at the main control desk inputs the emergency rehearsal plan into the analysis unit. The analysis unit sends the emergency instructions to the mobile terminal and the rail robot through the relay network. The broadcast modules of the rail robot and the mobile terminal both sound an alarm to remind the staff to evacuate. After the alarm is sounded, the relay network detects the spatial coordinates of the mobile terminal that has not moved in the geological model. The relay network transmits the spatial coordinates of the mobile terminal that has not moved to the rail robot. The rail robot moves to the vicinity of the mobile terminal in order from near to far and drives the broadcast module to sound an alarm again to avoid the staff who have not evacuated in time not hearing the alarm. The rail robot stays for 5 seconds each time. Based on the high-precision positioning of the rail robot and the mobile terminal, regular emergency rehearsals can be achieved. When a disaster occurs, the rail robot and the mobile terminal can respond immediately to evacuate personnel urgently to ensure the safety of the staff in the mine.

[0054] The spatial analysis procedure specifically includes the following steps:

[0055] Step 21: The analysis unit takes the entrance of the mine as the base point;

[0056] Step 22: The analysis unit creates a cross-sectional sketch based on the width and height of the mine;

[0057] Step 23: When the deflection angle of the ground centerline is zero, the analysis unit continues to accumulate the length of the mine until the deflection angle of the ground centerline is not zero, and then stops. The analysis unit generates a mine model from the cross-section sketch according to the accumulated length. The generation direction of the mine is parallel to the direction of the ground centerline. The analysis unit marks the position of the mine where the length accumulation stops as a turning point.

[0058] Step 24: The analysis unit repeats steps 22 to 23 until the length of the mine is completely accumulated, and then stops repeating. The analysis unit sequentially combines all generated mine models to form a spatial coordinate system, and the origin of the spatial coordinate system is the base point in step 21;

[0059] Step 25: The analysis unit counts the number of turning points b, calculates the average length of the mine between all turning points as c, calculates the average width d of all cross-sectional sketches, and calculates the average height e of all cross-sectional sketches. The average values ​​c, d, and e are obtained by summing the length, width, and height of the mine between the turning points and dividing by (b-1);

[0060] Step 16: Analyze the cells according to the formula The number of calibration points f between each turning point is obtained by rounding. The analysis unit divides the length of the mine between each turning point by (f+1) to obtain the spacing between each calibration point. The specific position of each calibration point can be determined by knowing the length of the mine between each turning point and the spacing between each calibration point.

[0061] Among them, the sound wave module is composed of a microphone and four speakers. The four speakers are distributed in a circle. The lines connecting the centers of the four speakers are perpendicular to each other. The line connecting the centers of the circles is a line segment connecting the speakers and the centers of the circles distributed in the circle. The microphone is located at the center of the circle. The sound wave propagation direction of the speaker is opposite to the direction of the center of the circle distributed in the circle. The broadcast frequencies of the four speakers are different, which are 12k Hz, 14k Hz, 15.5k Hz and 16.5k Hz in the four directions of front, top, back and bottom respectively.

[0062] The format of the calibration point information is (X0000Y0000XZ0000), and the format of the spatial coordinates is (00X0000Y0000XZ0000), where X, Y, and Z represent the x-axis coordinate, y-axis coordinate, and z-axis coordinate of the calibration point information and the spatial coordinates in the spatial coordinate system, respectively. The two digits before X represent the device numbers of the mobile terminal and the track robot. Each device number is unique and preset in advance to facilitate identification of the corresponding device. The four digits after X, Y, and Z represent the specific values ​​of the corresponding coordinates.

[0063] The spatial positioning procedure specifically includes the following steps:

[0064] Step 31: The analysis unit sends a positioning instruction to all sound wave modules. All sound wave modules broadcast in order from high to low in the spatial coordinate system. The speakers in the sound wave modules convert their own calibration point information into sound waves of different frequencies for playback based on CODE128Auto.

[0065] Step 32: The microphones of the track robot and the mobile terminal capture the sound waves played by the speakers. The mobile terminal and the track robot sort the sound waves emitted by each speaker according to the volume to obtain a volume sequence. The track robot and the mobile terminal convert the sound waves in the volume sequence into calibration point information through CODE128 Auto.

[0066] Step 33: The mobile terminal and the track robot mark the calibration points corresponding to the first and second digits of the volume sequence as the first reference and the second reference respectively. According to the transmission of the sound wave, the volume decreases with the increase of the distance. The specific positions of the mobile terminal and the track robot are located between the first reference and the second reference. The mobile terminal and the track robot calculate the volume difference g1 between the first and second digits of the volume sequence. The volume difference g1 is the volume difference in the front and back directions of the sound wave module. By calculating the volume difference and then comparing the distance between the two sound wave modules in proportion, the spatial coordinates of the mobile terminal and the track robot in the front and back directions can be calculated. The mobile terminal and the track robot calculate the volume difference g2 between the first reference and the second reference at a frequency of 14 kHz. The mobile terminal and the track robot calculate the volume difference g3 between the first reference and the second reference at a frequency of 16.5 kHz.

[0067] Step 34: The mobile terminal and the track robot define the first reference position information as (x1, y1, z1), and define the second reference position information as (x2, y2, z2), according to the formula Calculate and obtain the spatial coordinates of the mobile terminal and the track robot;

[0068] Step 35: The mobile terminal and the track robot convert their own spatial coordinates into sound waves based on CODE128 Auto and play them through the broadcast module. The microphone of the sound wave module located near the mobile terminal and the track robot obtains the sound waves played by the broadcast module. The sound wave module converts the obtained sound waves into device numbers and spatial coordinates based on CODE128 Auto. The sound wave module transmits the device number and the corresponding spatial coordinates to the analysis unit through the relay network.

[0069] It should be noted that the positioning steps of the mobile terminal and the track robot are the same, but the analysis and calculation processes are independent of each other. The mobile terminal and the track robot are not in the same position. In fact, the analysis and calculation process of each mobile terminal is independent to ensure that each mobile terminal can achieve accurate positioning in the spatial coordinate system.

[0070] Among them, CODE128 Auto is the data type conversion format of the barcode. After the information and spatial coordinates of the calibration point are converted into the barcode, the speaker and the broadcast module synchronously change the on and off time of the broadcast according to the width of the vertical lines from left to right on the barcode, thereby using the sound wave as a carrier of data transmission to realize data communication between the sound wave module, the mobile terminal and the track robot.

[0071] The correlation analysis procedure specifically includes the following steps:

[0072] Step 51: The analysis unit counts the residence time of each mobile terminal in each interval as Tij, where i represents the number of the mobile terminal, i=(1, 2, 3..., h), and j represents the interval number of the interval, i=(1, 2, 3..., a);

[0073] Step 52: The analysis unit counts the number of times n each mobile terminal appears in each interval, and assigns a frequency index Wj in descending order. The initial value of Wj is 0.8, and it decreases with decreasing order of the number of times, and each decreasing value is 0.03.

[0074] Step 53: The analysis unit sets a range index Pj for each mobile terminal according to the formula Calculate the specific range index Pj of each mobile terminal. Pj represents the activity range of the staff wearing the mobile terminal in the mine. The larger the range index Pj, the larger the activity range of the staff and the more frequent the activity frequency. Conversely, the smaller the range index Pj, the smaller the activity range of the staff and the less frequent the activity frequency.

[0075] Step 54: Analyze the cells according to the formula The association index k between each mobile terminal and each interval is calculated, where r is a counting variable, r takes values ​​from 1 to a, e1, e2 and e3 are weight coefficients, and the condition e1+e2+e3=1 is satisfied. The specific values ​​of e1, e2 and e3 are determined according to the number of staff members h and the number of intervals a.

[0076] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence, based on a master console, a relay network, several acoustic wave modules, h mobile terminals, a track robot and several geological modules, wherein the master console includes an analysis unit and a display module, the track robot and the mobile terminal are both integrated with a microphone and a broadcast module, and the mobile terminal is integrated with an inertial module; the method is characterized in that: The following steps are involved: Step 1: Manual measurement: the staff uses measuring tools to map the mine. The staff inputs the mapping data into the mobile terminal. The mapping data includes the length, width, height and deflection angle of the ground centerline of the mine. The mobile terminal uploads the mapping data to the analysis unit through the relay network. Step 2: Setting up calibration points. The analysis unit executes a spatial analysis program to obtain a spatial coordinate system and calibration points. The analysis unit transmits the spatial coordinate system and calibration points to a mobile terminal for staff to view. The staff installs an acoustic wave module at each calibration point. The calibration point is located on a wall on one side of the mine. Step 3: Establishing a digital model, the analysis unit executes a spatial positioning program to obtain the spatial coordinates of each mobile terminal and the track robot, and the analysis unit inputs the spatial coordinates of all mobile terminals and the track robot into the spatial coordinate system to obtain a digital model; Step 4: Geological exploration. The analysis unit sets a collection point inside the mine based on the digital model. The total distance between the collection point and all calibration points is the minimum. The analysis unit transmits the collection point to the mobile terminal through the relay network for the staff to view. The staff installs a geological module on the collection point. The staff sets up a transmitting coil on the ground. The transmitting coil sends a transient electromagnetic signal. The geological module obtains the transient electromagnetic signal. The geological module converts the transient electromagnetic signal into a geological distribution map based on the transient electromagnetic method. The geological module uploads the geological distribution map to the analysis unit through the relay network. The analysis unit inputs the geological distribution map into the digital model to obtain a geological model. The analysis unit transmits the geological model to the display module. The display module displays the geological model. The geological model is a transparent three-dimensional structure. Step 5: Construct a correlation network. The analysis unit divides the geological model into a intervals and assigns interval numbers. The analysis unit executes a correlation analysis program to obtain the correlation index k between each mobile terminal and each interval. The correlation index k between all mobile terminals and intervals constitutes a correlation network. A trigger threshold is preset. After the mobile terminal is displaced, the inertial module detects the displacement of the mobile terminal and recalculates the correlation index k between the mobile terminal and each interval. If the difference between the correlation index k and the correlation index k that has not been updated in the previous correlation network is greater than the trigger threshold, the analysis unit pushes the warning information to the display module; Step 6: Emergency rehearsal. The staff inputs the emergency rehearsal plan into the analysis unit, and sends the emergency instructions to the mobile terminal and the track robot respectively through the relay network. The broadcast modules of the track robot and the mobile terminal both sound an alarm to remind the staff to evacuate. After the alarm is sounded, the relay network detects the spatial coordinates of the mobile terminal that has not moved. The relay network transmits the spatial coordinates to the track robot. The track robot moves to the vicinity of the mobile terminal in order from near to far and drives the broadcast module to sound an alarm again.

2. According to the method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence in claim 1, the port of the analysis unit is connected to the port of the relay network, the output end of the analysis unit is connected to the input end of the display module, the port of the relay network is respectively connected to the ports of the acoustic wave module and the mobile terminal, the port of the acoustic wave module is respectively connected to the ports of the rail robot and the mobile terminal, the output end of the geological module is connected to the input end of the relay network, and the output end of the relay network is connected to the input end of the rail robot; the rail robot is suspended on the top rail in the mine.

3. The method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence according to claim 1, characterized in that: The spatial analysis procedure specifically includes the following steps: Step 21: The analysis unit takes the entrance of the mine as the base point; Step 22: The analysis unit creates a cross-sectional sketch based on the width and height of the mine; Step 23: When the deflection angle of the ground centerline is zero, the analysis unit continues to accumulate the length of the mine until the deflection angle of the ground centerline is not zero, and then stops. The analysis unit generates a mine model from the cross-section sketch according to the accumulated length. The generation direction of the mine is parallel to the direction of the ground centerline. The analysis unit marks the position of the mine where the length accumulation stops as a turning point. Step 24: the analysis unit repeats steps 22 to 23 until the length of the mine is completely accumulated, and then stops repeating, and all generated mine models are sequentially combined to form a spatial coordinate system, the origin of which is the base point in step 21; Step 25: The analysis unit counts the number of turning points b, calculates the average length of the mine between all turning points as c, calculates the average width of all cross-sectional sketches as d, and calculates the average height of all cross-sectional sketches as e; Step 16: According to the formula The number of calibration points f between each turning point is obtained by rounding, and the analysis unit divides the length of the mine between each turning point by (f+1) to obtain the spacing between each calibration point.

4. The method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence according to claim 1, characterized in that: The sound wave module consists of a microphone and four speakers. The four speakers are distributed in a circle. The lines connecting the centers of the four speakers are perpendicular to each other. The line connecting the centers of the four speakers is a line segment connecting the speakers and the centers of the circles. The microphone is located at the center of the circle. The sound wave propagation direction of the speaker is opposite to the center of the circle. The broadcast frequencies of the four speakers are different. They are 12k Hz, 14k Hz, 15.5k Hz and 16.5k Hz in the four directions of front, top, back and bottom respectively. The format of the calibration point information is (X0000Y0000XZ0000), and the format of the spatial coordinates is (00X0000Y0000XZ0000), where X, Y, and Z represent the x-axis coordinate, y-axis coordinate, and z-axis coordinate of the calibration point information and the spatial coordinates in the spatial coordinate system, respectively. The two digits before X represent the device numbers of the mobile terminal and the track robot, and the four digits after X, Y, and Z represent the specific values ​​of the corresponding coordinates. The spatial positioning procedure specifically includes the following steps: Step 31: The analysis unit sends a positioning instruction to all sound wave modules. All sound wave modules broadcast in order from high to low in the spatial coordinate system. The speaker converts its own calibration point information into sound waves of different frequencies for playback based on CODE128 Auto. Step 32: The microphones of the track robot and the mobile terminal capture the sound waves played by the speakers. The mobile terminal and the track robot sort the sound waves emitted by each speaker according to the volume to obtain a volume sequence. The track robot and the mobile terminal convert the sound waves in the volume sequence into calibration point information through CODE128 Auto. Step 33: The mobile terminal and the track robot mark the calibration points corresponding to the first and second digits of the volume sequence as the first reference and the second reference respectively, and the mobile terminal and the track robot calculate the volume difference g1 between the first and second digits of the volume sequence, the mobile terminal and the track robot calculate the volume difference g2 between the first reference and the second reference at a frequency of 14 kHz, and the mobile terminal and the track robot calculate the volume difference g3 between the first reference and the second reference at a frequency of 16.5 kHz; Step 34: The mobile terminal and the track robot define the first reference position information as (x1, y1, z1), and define the second reference position information as (x2, y2, z2), according to the formula Calculate and obtain the spatial coordinates of the mobile terminal and the track robot; Step 35: The mobile terminal and the track robot convert their own spatial coordinates into sound waves based on CODE128 Auto and play them through the broadcast module. The microphone of the sound wave module near the mobile terminal and the track robot obtains the sound waves. The sound wave module converts the obtained sound waves into device numbers and spatial coordinates based on CODE128 Auto. The sound wave module transmits the device number and the corresponding spatial coordinates to the analysis unit through the relay network.

5. The method for constructing a high-precision transparent three-dimensional geological model based on artificial intelligence according to claim 1, characterized in that: The correlation analysis procedure specifically includes the following steps: Step 51: Count the residence time of each mobile terminal in each interval as Tij, where i represents the number of the mobile terminal, i=(1, 2, 3..., h), and j represents the interval number of the interval, j=(1, 2, 3..., a); Step 52: Count the number of times n that each mobile terminal appears in each interval, and assign frequency indexes Wj in descending order. The initial value of Wj is 0.8, and it decreases with decreasing order of the number of times, and the value of each decrease is 0.

03. Step 53: The analysis unit sets a range index Pj for each mobile terminal according to the formula Calculate the specific range index Pj for each mobile terminal; Step 54: According to the formula The association index k between each mobile terminal and each interval is calculated, where r is a counting variable, e1, e2 and e3 are weight coefficients, and the condition e1+e2+e3=1 is satisfied. The specific values ​​of e1, e2 and e3 are determined according to the number of staff members h and the number of intervals a.

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