CN112255691B - Deep fracture geological method for detecting excitation composite frequency - Google Patents
Deep fracture geological method for detecting excitation composite frequency Download PDFInfo
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Abstract
The invention discloses an excitation composite frequency detection deep fracture geological method, which comprises the following steps: pre-installing power supply electrodes on a detection line in a tunnel, and determining geological physical data and calibration values between the power supply electrodes by utilizing a double-frequency excitation detection device; transmitting the geological physical data and the calibration value to a big data center, generating a section chart, and determining a geological state; transmitting the section map to simulation equipment, and constructing a simulation tunnel geological model according to the state geological condition; and optimizing the tunnel geological model through the simulation equipment, and determining fracture information of tunnel geology. The invention has the beneficial effects that: the method for detecting the deep fracture geology by using the excitation composite frequency has the advantages of simulation modeling of the detected geology, convenient construction, low requirements on the terrain, portability, rapidness and flexibility of an excitation device, stable and high-precision observation data, and determination of the fracture situation of the geology by simulation modeling.
Description
Technical Field
The invention relates to the technical field of geological detection, in particular to a deep fracture geological method for detecting an excitation composite frequency.
Fracture geology: the method is characterized in that a main fault surface and two sides of the main fault surface are broken into rock blocks and a plurality of secondary faults or broken surfaces caused by artificial or natural geological movement under the ground, if a tunnel is dug into mine geology or ore is mined, the broken geology needs to be detected, and collapse of the broken layer is avoided.
Background
At present, the engineering of developing tunnels, excavating coal mines and the like can face the situation of underground fracture geology, seriously influence the construction process and even endanger the safety of construction workers. There are many methods for detecting geology, such as a direct current method is suitable for working under the condition of flat terrain, is not easy to spread in mountain areas and is easy to collapse in places with large industrial current in the living area, and the direct current method is influenced by electromagnetic coupling so as to influence measurement, and the electromagnetic method is influenced by deep stratum when detecting the underground goaf of shallow stratum so as to influence detection effect. The dual-frequency excitation method is feasible for detection in complex areas, the dual-frequency excitation method detection curve can intuitively reflect the approximate plane position of an underground abnormal body, and the whole detection method is suitable for geology complex environments.
Disclosure of Invention
The invention aims to provide a method for detecting deep fracture geology by using an excitation composite frequency, which has the advantages of being suitable for geology complex environments and feasibility, and solves the problems in the background technology.
An excitation composite frequency detection deep fracture geological method, which is characterized by comprising the following steps:
the method comprises the steps that through pre-installing power supply electrodes on a detection line preset in a tunnel, geological physical data and calibration values between the power supply electrodes are determined by utilizing a double-frequency excitation detection device; wherein,
the power supply electrode comprises A, B two stages;
the detection circuit comprises an east line and a west line;
based on the detection line and the big data center, merging and processing the geological physical data and the calibration value, generating a section diagram, and determining a state geological condition;
transmitting the section map to pre-installed simulation equipment, and simulating the tunnel geological model through the state geological condition;
and optimizing the tunnel geological model based on an optimizing system preset by the simulation equipment, and determining the fracture information of the tunnel geology.
The invention provides an embodiment, which is characterized in that the method for determining geological physical data and calibration values between power supply electrodes by using a double-frequency excitation detection device through pre-installing the power supply electrodes on a detection line preset in a tunnel comprises the following steps:
Acquiring apparent resistivity of tunnel geology through a power supply electrode pre-installed on a detection line preset by the tunnel; wherein,
the electrode A and the electrode B of the power supply electrode are installed by an intermediate gradient method;
the double-frequency excitation detection device sends current to the underground through the power supply electrode to obtain double-frequency combined current; wherein,
the double-frequency excitation detection device comprises a microcomputer excitation electric instrument transmitter and a microcomputer excitation electric instrument receiver and is used for monitoring geological fracture conditions;
according to the double-frequency combined current, determining the amplitude frequency and the apparent resistivity of the tunnel geology;
acquiring an influence coefficient by a sensor pre-installed on a dual-frequency excitation detection device, and calculating a calibration value of the potential difference data according to the influence data;
and acquiring the calibration value, storing the calibration value in a large data center, and determining geological physical data of the tunnel according to the amplitude frequency and the apparent resistivity.
The invention provides an embodiment, which is characterized in that the determining the amplitude frequency and the apparent resistivity of the tunnel geology according to the double-frequency combined current comprises the following steps:
the double-frequency combined current is conveyed to a tunnel, and high-frequency potential information and low-frequency potential information are obtained;
Determining potential difference information of the tunnel geology according to the high-frequency potential information and the low-frequency potential information;
acquiring a calibration value, processing the potential difference information by using the calibration value based on a processing system of a big data center, and determining processing data;
and determining the amplitude frequency and the apparent resistivity of the tunnel geology according to the processing data.
The invention provides an embodiment, which is characterized in that the sensor pre-installed on the dual-frequency excitation detection device is used for collecting an influence coefficient, and calculating a calibration value of potential difference data according to the influence coefficient, and the method comprises the following steps:
step S1: determining an influence coefficient by a sensor pre-installed on the double-frequency excitation detection device; wherein,
the sensor comprises a temperature sensor, a barometric pressure sensor and a photoelectric sensor;
determining a temperature detection value as t through the temperature sensor 0 ；
Determining that the air pressure detection value is n by the air pressure sensor 0 ；
Determining that the photoelectric area detection value is S by the photoelectric sensor 0 ；
Step S2, according to the temperature detection value t 0 The detected value of the air pressure is n 0 And the photoelectric detection area value is S 0 Determining a calibration coefficient sigma:
wherein S is 0 The detection value is the area detection value of a photoelectric sensor, S is the beam emergent area of an excimer laser, sin beta is the sine value of the beam angle, beta is the angle between the beam of the microcomputer excimer laser and the plane of a calibration plate, n is standard atmospheric pressure, and n=101325pa is taken as n 0 Is the air pressure detection value of the air pressure sensor, t is a preset temperature value, t 0 E is a constant value of e= 2.7182818, epsilon is a quality factor of the light beam, and the quality factor reflects the focusability of the light beam;
step S3: calculating a calibration value U of the potential difference information according to the calibration coefficient sigma;
U＝σU 0
wherein U is 0 The potential difference information of the total field of the excitation of two main frequencies detected by the microcomputer excitation instrument is U, which is the calibration value of the potential difference information.
The invention provides an embodiment, which is characterized in that the steps of merging and processing the geological physical data and the calibration value based on the detection line and the big data center to generate a section view and determining the geological condition of the state comprise the following steps:
processing corresponding video amplitude frequency and video resistivity on the mark points by using the calibration value through the mark points preset by the monitoring route, and determining target video amplitude frequency and target video resistivity;
extracting the corresponding relation between the mark point and the target video frequency, and generating a first corresponding relation;
extracting the corresponding relation between the mark point and the target apparent resistivity, and generating a second corresponding relation;
based on a big data center, processing the first corresponding relation and the second corresponding relation of the mark points to generate a video frequency profile and a video resistance profile respectively; wherein,
The video frequency cross-section comprises an east video frequency cross-section and a west video frequency cross-section, wherein the cross-section takes a detection point as a horizontal axis and the video frequency as a vertical axis;
the visual resistance section views comprise an east visual resistance section view and a west visual resistance section view, and the visual resistance section views take a detection point as a horizontal axis and take a visual resistivity as a vertical axis;
determining a cross-sectional view according to the video amplitude frequency cross-sectional view and the video resistivity cross-sectional view;
analyzing the geological condition of the geology according to the section view and the big data center, and generating analysis data;
and determining the state geological condition according to the analysis data and the sectional view.
The invention provides an embodiment, which is characterized in that the marking points preset by the monitoring route process the corresponding video amplitude frequency and the corresponding video resistivity on the marking points by using the calibration value to determine the target video amplitude frequency and the target video resistivity, and the method comprises the following steps:
determining the range of the mark points according to the mark points preset by the detection circuit;
determining a corresponding marking potential difference range according to the marking point range; wherein,
the marking points are used for marking and restraining the detection range of the detection line;
Determining a corresponding mark video amplitude frequency range and a mark video resistivity range according to the mark potential difference range;
and calibrating the mark video frequency in the corresponding mark video frequency range and the mark video resistivity in the mark video resistivity range by using the calibration value to generate a target video frequency and a target video resistivity.
The present invention provides an embodiment, wherein the transmitting the cross-sectional view to a preset simulation device, and simulating the tunnel geological model through the state geological condition, determining a simulated geological model includes:
based on a big data center, extracting and dividing marking points of the profile map, and generating different marking ranges;
processing video amplitude frequency data and video resistivity data of the corresponding section according to the marking range to obtain processing data; wherein,
the processing data comprise geological fracture data and fracture width and thickness data;
determining a geological state of the marking range according to the processing data and the marking range;
generating a geological state data set according to the geological state;
acquiring the state geological condition and generating geological condition data;
based on simulation equipment, fusing the geological state data set and the geological condition data to generate fused data, and determining a target corresponding relation corresponding to the section view;
And according to the target corresponding relation, the fusion data set is used as a data source, and the tunnel geological model is simulated through simulation equipment to determine a simulation geological model.
The embodiment of the invention provides an embodiment, which is characterized in that the optimizing system preset based on simulation equipment optimizes the simulation geological model and determines the fracture information of tunnel geology, and the optimizing system comprises the following steps:
determining target tunnel geological data based on tunnel geological data stored in the simulation equipment in advance, and generating a target tunnel geological model;
determining optimization parameters of the tunnel geology according to the simulated geological model and the target tunnel geological model;
optimizing the simulated geologic model according to the optimization parameters, and determining an optimized geologic model;
determining an optimized geological scene and an optimized geological state of the optimized geological model according to the optimized geological model;
determining optimized scene data according to the optimized geological scene;
determining optimized geological data according to the optimized geological state;
determining the optimized data of the tunnel geology according to the optimized scene data and the optimized geology data
Determining fracture information of the tunnel geology according to the optimized geological model and the optimized data; wherein,
The fracture information comprises a geological fracture detection point range, a geological fracture length and a geological fracture width.
The invention provides an embodiment, which is characterized in that the determining the optimization parameters of the tunnel geology according to the simulated geology model and the target tunnel geology model comprises the following steps:
generating simulated tunnel geological data according to the simulated geological model;
comparing the simulated tunnel geological data with the target tunnel geological data, and determining a data error rate;
determining a simulation error rate according to the state tunnel geological model and the target tunnel geological model;
determining an influence parameter according to the data error rate and the simulation error rate based on the large data center; wherein,
the influencing parameters comprise environmental influencing factors, thermal effect influencing factors and geometric influencing factors;
and generating optimization parameters according to the influence parameters and the target tunnel geological model.
The invention provides an embodiment, which is characterized in that the determining the optimized data of the tunnel geology according to the optimized geology model comprises the following steps:
step T1: according to the optimized parameter epsilon, a multi-target simulation model of the simulation geological model is obtained, and a simulation function model is determined:
Wherein ε i Optimization parameters epsilon representing an i-th layer objective optimization function model max Maximum optimization parameter epsilon representing target optimization function model min Minimum optimization parameter, x, representing target optimization function model i Representing the direction of the simulation geologic model optimization abbreviation corresponding to the i-th layer target optimization function model, wherein n is the number of layers of the target optimization function model;
step T2: extracting an average simulation function G of the multi-target simulation function model i (ε i ，x i ) Determining an optimization mode G' i (ε i ，x i )：
Wherein i is E (0, n), w i Representing weights extracted from an i-th layer objective optimization function model of the multi-objective optimization function model, G i (epsilon, x) optimizing an average function for the object model of the object optimization function model of each layer,G′ i (epsilon, x) represents extracting an optimization mode from the target optimization function model;
step T3: optimizing each layer of simulation functions of the multi-objective optimization model, and determining an optimized function model after each layer of optimization:
and step T4, processing the simulated geological model according to the optimization function model based on a processing system of the simulation equipment, and determining an optimized geological model.
Compared with the prior art, the invention has the beneficial effects that: the invention provides an excitation composite frequency detection deep fracture geological method, wherein a detection position is selected firstly, then a detection line of double-frequency excitation method detection is selected, wherein the detection line can be divided into an east line detection line and a west line detection line, then the east line detection line and the west line detection line are subjected to actual measurement, then a region detected by the double-frequency excitation method is measured and detected, then an obtained intermediate gradient apparent resistivity section and a video amplitude frequency section are compared, and a transient electromagnetic apparent resistivity section can be generated, so that a geological simulation model can be obtained, and drilling verification can be carried out to verify whether the preliminary simulation model is consistent with display; the dual-frequency excitation method is applicable to detection in complex areas, the dual-frequency excitation method detection curve can intuitively reflect the approximate plane position of an underground abnormal body, and the whole detection method is applicable to geology complex environments and has feasibility.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
FIG. 1 is a diagram of a method for detecting deep fracture geology by using an excitation composite frequency in an embodiment of the invention;
FIG. 2 is a schematic diagram of an intermediate gradient arrangement according to the present invention;
FIG. 3 is a cross-sectional view of the first east line intermediate gradient apparent resistivity of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides an excitation composite frequency detection deep fracture geological method, which is shown in the accompanying drawings 1 and 2, and is characterized by comprising the following steps:
step 100: pre-installing power supply electrodes on a detection line in a tunnel, and determining geological physical data and calibration values between the power supply electrodes by utilizing a double-frequency excitation detection device; wherein,
the power supply electrode comprises an electrode A and an electrode B;
the detection circuit comprises an east line and a west line; as shown in the middle gradient arrangement schematic diagram of the figure 2, the gap value between the east line and the west line is controlled to be about 50 meters, wherein the distance between the east line and the west line cannot be too close, so that the two lines have influence on the measurement range at the same time, the distance between the east line and the west line cannot be too long, otherwise, the empty underground continuous surface cannot be obtained, the middle gradient method is adopted for the east line and the west line, the working mode of short wire measurement is adopted for the east line and the west line, and the receiver moves and observes point by point, so that the production efficiency can be improved, interference is reduced, and the east line and the west line are arranged in parallel, namely from the adjacent other measuring line, so that the influence of electromagnetic coupling interference between the lines is avoided;
step 101: transmitting the geological physical data and the calibration value to a big data center, generating a section chart, and determining a geological state;
Step 102: transmitting the section map to simulation equipment, and constructing a simulation tunnel geological model according to the state geological condition;
step 103: and optimizing the tunnel geological model through the simulation equipment, and determining fracture information of tunnel geology after the tunnel geological model is optimized.
The working principle and the beneficial effects of the technical scheme are as follows: the invention selects a detection position, the detection position can be selected in a mountain area which is difficult to detect, then a detection circuit which is difficult to detect by a double-frequency excitation method is selected, the detection circuit can be divided into an east line and a west line, the east line is arranged on one side of the west line, the east line and the west line are both arranged in an intermediate gradient method, the east line and the west line are both arranged in a working mode of short wire measurement, the core of the double-frequency excitation method is to superpose square wave currents with two frequencies to form a double-frequency combined current (high frequency and low frequency), the double-frequency combined current is simultaneously supplied into the ground, potential difference information of an excitation total field which contains two main frequencies from the ground is received, the low-frequency potential difference and the high-frequency potential difference are simultaneously obtained once through internal processing of an instrument, and the video frequency is calculated through a formula, and a receiver moves and observes point by point, so that the production efficiency is improved, interference is reduced, the two east lines and the west lines are arranged in parallel, namely, the electromagnetic coupling interference between adjacent lines is avoided, the two adjacent lines are compared, the obtained intermediate gradient method section images are compared, a preliminary geological model is obtained, an error value is utilized, error value is utilized to compensate an error value, an error value is obtained, an error value is used to verify an actual error-influencing model, an environment-based on a thermal influence model is obtained, and an error-based on a geometrical factor is optimized, and an error-based on a geological factor is obtained, and an error-based on a geometric-based on an error-model, and an error-based on an error-based-model is measured.
In one particular embodiment: actually measuring an east line, wherein the overall azimuth of the east line is close to the north-south direction, 21 measuring points are arranged on the east line in a public way, the distance between every two adjacent measuring points is 10 meters, the total length is 200 meters, the power supply electrode distance AB of an intermediate gradient device is 1000 meters, and the measuring electrode distance MN=200 meters of the intermediate gradient device; the method comprises the steps of connecting a microcomputer electro-mechanical instrument transmitter and a receiver to the ground surface in sequence, wherein the working frequency of the microcomputer electro-mechanical instrument transmitter is 4Hz and 4/13Hz, so that the receiver can receive potential difference information of an electro-mechanical total field containing two main frequencies in the ground, a transmitting end of the transmitter is inserted into the ground surface for 15-20 cm, a receiving end of the receiver is inserted into the ground surface for 20-30 cm, the purpose that the receiving end of the receiver is inserted into the ground surface is to reduce the influence of ground vibration, after the microcomputer electro-mechanical instrument transmitter and the receiver are powered on, the receiver receives the potential difference information of the electro-mechanical total field containing two main frequencies in the ground, and an east line intermediate gradient method apparent resistivity section, an east line apparent amplitude frequency section and an east line transient electromagnetic method apparent resistivity section are obtained after processing.
Corresponding to: the method comprises the steps of carrying out actual measurement on a western wire, wherein the whole azimuth of the western wire is close to the north-south direction, 31 measuring points are arranged on the western wire, the distance between every two adjacent measuring points is 10 meters, the whole length is 300 meters, the power supply electrode distance AB of an intermediate gradient device is 1000 meters, the measuring electrode distance MN=200 meters of the intermediate gradient device is firstly connected with a microcomputer laser instrument transmitter and a receiver on the earth surface in sequence, the working frequency of the microcomputer laser instrument transmitter is 4Hz and 4/13Hz, so that the receiver can receive potential difference information of an underground laser total field containing two main frequencies, the transmitting end of the transmitter is inserted into the earth surface by 15-20 centimeters, the receiving end of the receiver is inserted into the earth surface by 20-30 centimeters, the purpose of the deeper receiving end of the receiver is to reduce the influence of earth vibration, the potential difference information of the underground laser total field containing two main frequencies is received by the receiver after the microcomputer laser instrument transmitter and the receiver are electrified, a cross section view of the western wire intermediate gradient method, a western wire video frequency map and a western wire video frequency map are obtained after the treatment, and a radon two-frequency radon measurement method are adopted for detecting the radon values of the two-frequency measurement area.
Example 2:
the present invention provides an embodiment, as shown in figure 1,
the power supply electrodes are pre-installed on the detection line in the tunnel, and geological physical data and calibration values between the power supply electrodes are determined by utilizing the double-frequency excitation detection device, and the method comprises the following steps:
determining a detection position in the tunnel and determining a detection line; firstly, selecting a detection position, wherein the detection position can be selected from a concave area which is difficult to detect by a common detection method, and compared with a flat area, the concave area which is difficult to detect has the purpose of practical detection, and the goaf filled with water is avoided when the detection position is selected, so that the influence on a double-frequency excitation method can be reduced;
respectively installing an electrode A and an electrode B on an east line and a west line of a detection line, and acquiring apparent resistivity of tunnel geology; wherein,
the electrode A and the electrode B of the power supply electrode are installed by an intermediate gradient method, as shown in figure 3;
the power supply electrode sends current to the underground through a double-frequency excitation detection device to obtain double-frequency combined current; wherein,
the double-frequency excitation detection device comprises a microcomputer excitation electric instrument transmitter and a microcomputer excitation electric instrument receiver and is used for monitoring geological fracture conditions;
According to the double-frequency combined current, determining the amplitude frequency and the apparent resistivity of the tunnel geology;
acquiring an influence coefficient by a sensor pre-installed on a dual-frequency excitation detection device, and calculating a calibration value of the potential difference data according to the influence data;
and storing the calibration value, the video frequency and the video resistivity to a large data center, and determining the geological physical data of the tunnel by the video frequency and the video resistivity.
The working principle and the beneficial effects of the technical scheme are as follows: the method comprises the steps that through the distance between power supply electrodes of an intermediate gradient method device, an electrode A and an electrode B can be sequentially connected with the earth surface in a gradient mode, the electrode A and the electrode B are connected with a microcomputer laser instrument transmitter and a microcomputer laser instrument receiver, the working frequency of the laser instrument transmitter is two different high and low frequencies, the potential difference information of a laser total field containing two main frequencies in the ground can be received by the microcomputer laser instrument transmitter, the transmitting end of the transmitter is inserted into a shallow earth surface and the receiving end of the receiver is inserted into a position relatively deeper in the earth surface, the purpose that the receiving end of the receiver is inserted into the earth surface is to reduce the influence of earthquake vibration, the microcomputer laser instrument transmitter and the microcomputer laser instrument receiver receive the potential difference information of the laser total field containing two main frequencies in the ground after being electrified, the potential difference information of the laser total field containing two main frequencies is determined through a sensor pre-installed on a double-frequency laser instrument detector, the potential difference data calibration value is calculated, the influence of the environment factors on the potential difference information is reduced, more accurate data is obtained, the whole construction measurement is more accurate, the double-frequency combined current device is simple, the use is convenient, and the user is convenient to use.
Example 3:
the invention provides an embodiment, as shown in figure 1
The method for determining the amplitude frequency and the apparent resistivity of the tunnel geology according to the double-frequency combined current comprises the following steps:
the double-frequency combined current is transmitted to the ground surface of the tunnel through the microcomputer-based electromechanical instrument transmitter, and the high-frequency potential information and the low-frequency potential information of the ground surface are obtained through the microcomputer-based electromechanical instrument receiver;
determining potential difference information of the tunnel geology according to the high-frequency potential information and the low-frequency potential information;
processing the potential difference information through the calibration value of the big data center to determine processing data;
and determining the amplitude frequency and the apparent resistivity of the tunnel geology according to the processing data.
The working principle and the beneficial effects of the technical scheme are as follows: the invention utilizes the dual-frequency excitation to detect the geological physics premise that tunnel geology is generally mineral geology, the rock fracture layer has electrical property difference, the resistivity and the polarization ratio characteristics of geology provide the premise for utilizing the dual-frequency excitation method to detect, when the geology fracture layer causes a certain degree of fracture width and thickness, when the ground electrical method is used for detecting, the underground feeding current is repelled at the fracture layer, the high apparent resistivity is represented, the apparent amplitude frequency is greatly reduced due to the geological fracture and the disappearance of the geological polarization, so the high apparent resistivity and the low apparent amplitude frequency are abnormal, and when the geology is normal, the low apparent resistivity and the low amplitude frequency characteristics are reflected on the section view.
Example 4:
the present invention provides an embodiment:
the sensor pre-installed on the double-frequency excitation detection device is used for collecting influence coefficients, and the calibration value of the potential difference data is calculated according to the influence coefficients, and the method comprises the following steps:
step S1: determining an influence coefficient by a sensor pre-installed on the double-frequency excitation detection device; wherein,
the sensor comprises a temperature sensor, a barometric pressure sensor and a photoelectric sensor;
determining a temperature detection value as t through the temperature sensor 0 ；
Determining that the air pressure detection value is n by the air pressure sensor 0 ；
Determining that the photoelectric area detection value is S by the photoelectric sensor 0 ；
Step S2, according to the temperature detection value t 0 The detected value of the air pressure is n 0 And the photoelectric detection area value is S 0 Determining a calibration coefficient sigma:
wherein S is 0 The detection value is the area detection value of a photoelectric sensor, S is the beam emergent area of an excimer laser, sin beta is the sine value of the beam angle, beta is the angle between the beam of the microcomputer excimer laser and the plane of a calibration plate, n is standard atmospheric pressure, and n=101325pa is taken as n 0 Is the air pressure detection value of the air pressure sensor, t is a preset temperature value, t 0 E is a constant value of e= 2.7182818, epsilon is a quality factor of the light beam, and the quality factor reflects the focusability of the light beam;
Step S3: calculating a calibration value U of the potential difference information according to the calibration coefficient sigma;
U＝σU 0
wherein U is 0 The potential difference information of the total field of the excitation of two main frequencies detected by the microcomputer excitation instrument is U, which is the calibration value of the potential difference information.
The working principle and the beneficial effects of the technical scheme are as follows: the temperature sensor, the air pressure sensor and the photoelectric sensor are pre-installed on the dual-frequency excitation detection device to obtain detection values according to the temperature sensor, the air pressure sensor and the photoelectric sensor, a calibration coefficient sigma is determined, the calibration coefficient of the microcomputer excitation instrument is calculated, environmental influence parameters are obtained according to the sensor pre-installed in the step S1, the calibration value of potential difference information of the excitation total fields of two main frequencies is calculated according to the calculation result of the step S2, the calibration value of potential difference information of the excitation total fields of two main frequencies calculated in the step S3 is processed to obtain a profile.
Example 5:
the present invention provides a method of manufacturing a semiconductor device,
transmitting the geological physical data and the calibration value to a big data center, generating a section chart, and determining a geological state; comprising the following steps:
transmitting the geophysical data and calibration values to a large data center:
acquiring a preset mark point on the monitoring route;
processing the corresponding video amplitude frequency and the corresponding video resistivity on the mark points through the mark points and the calibration values preset by the monitoring route, and determining the target video amplitude frequency and the target video resistivity;
extracting the corresponding relation between the mark point and the target video frequency, and generating a first corresponding relation;
extracting the corresponding relation between the mark point and the target apparent resistivity, and generating a second corresponding relation;
processing the first corresponding relation and the second corresponding relation of the mark points through a big data center to respectively generate a video frequency profile and a video resistance profile; wherein,
the video frequency cross-section comprises an east video frequency cross-section and a west video frequency cross-section, wherein the cross-section takes a detection point as a horizontal axis and the video frequency as a vertical axis;
the visual resistance section comprises an east visual resistance section and a west visual resistance section, wherein the visual resistance section is a section with a detection point as a horizontal axis and a visual resistivity as a vertical axis;
Determining a cross-sectional view according to the video amplitude frequency cross-sectional view and the video resistivity cross-sectional view;
analyzing the geological condition of the geology according to the section view and the big data center, and generating analysis data;
and determining the state geological condition according to the analysis data and the sectional view.
The working principle and the beneficial effects of the technical scheme are as follows: the visual resistivity sectional view and the visual amplitude frequency sectional view are obtained according to an intermediate gradient method, wherein the rise or the relative decline of the resistivity corresponding to the detection point can be seen on the resistivity sectional view, the rise or the relative decline of the visual amplitude frequency corresponding to the detection point can be seen on the visual amplitude frequency sectional view obtained by an east line and a west line by utilizing the intermediate gradient method, the visual resistivity abnormality and the visual amplitude frequency abnormality are caused by the existence of different underground fracture degrees on the sectional view, the underground feeding current is repelled at the fracture area position, the visual amplitude frequency appears as high visual resistivity on the sectional view, the visual amplitude frequency appears as low visual amplitude frequency abnormality on the sectional view due to geological fracture, and the visual amplitude frequency appears as low visual amplitude frequency characteristic on the sectional view when a normal layer appears, so that the state geological condition can be presumed from the sectional view, the whole process is calibrated by the calibration coefficient, the accurate figures can be obtained, and the visual sectional view is generated, and the user can understand more easily.
Example 6:
the present invention provides a method of manufacturing a semiconductor device,
the corresponding video amplitude frequency and the corresponding video resistivity on the mark points are processed through the mark points and the calibration values preset by the monitoring route, and the target video amplitude frequency and the target video resistivity are determined; comprising:
determining the range of the mark points according to the mark points preset by the detection circuit;
determining a corresponding marking potential difference range according to the marking point range; wherein,
the marking points are used for marking and restraining the detection range of the detection line;
determining a corresponding mark video amplitude frequency range and a mark video resistivity range according to the mark potential difference range;
and calibrating the mark video frequency in the corresponding mark video frequency range and the mark video resistivity in the mark video resistivity range by using the calibration value to generate a target video frequency and a target video resistivity.
The working principle and the beneficial effects of the technical scheme are as follows: the marking points are similar to coordinates on a coordinate axis, the marking points are used for dividing the measured marking video amplitude frequency range and marking video resistivity range regions, the marking video amplitude frequency range and the marking video resistivity range are determined through the marking point ranges, error information of video amplitude frequency and target video frequency is obtained according to the calibration information, the error information is received, the characteristics of the error information are analyzed, the characteristics of the error information and an error function database are matched and determined to determine computing functions corresponding to the characteristics of the error information, such as a calibration computing function, a statistical computing function and a rejection computing function, the error information is calibrated accurately through the computing functions, so that the whole calibration process of the target video amplitude frequency and the target video resistivity is obtained, more accurate measurement data is obtained, the engineering of construction detection is reduced, and the labor cost is reduced.
Example 7:
the present invention provides an embodiment, as shown in fig. 1, the transmitting the section map to a preset simulation device, and simulating the tunnel geological model through the state geological condition, to determine a simulated geological model, including:
based on a big data center, extracting and dividing marking points of the profile map, and generating different marking ranges;
processing video amplitude frequency data and video resistivity data of the corresponding section according to the marking range to obtain processing data; wherein,
the processing data comprise geological fracture data and fracture width and thickness data;
determining a geological state of the marking range according to the processing data and the marking range;
generating a geological state data set according to the geological state;
acquiring the state geological condition and generating geological condition data;
based on simulation equipment, fusing the geological state data set and the geological condition data to generate fused data, and determining a target corresponding relation corresponding to the section view;
and according to the target corresponding relation, the fusion data set is used as a data source, and the tunnel geological model is simulated through simulation equipment to determine a simulation geological model.
The working principle and the beneficial effects of the technical scheme are as follows: based on a big data center, constructing an underground model through a precision calibration module, and collecting error information caused by different precision influence factors on detection results of a detection device, wherein the precision influence factors comprise: the method comprises the steps of receiving precision influence error information, analyzing characteristics of the error information, such as systematic errors, random errors and delinquent errors, carrying out positioning modeling on tunnels through geological fracture data, geological width and thickness data, geological positioning and the like, constructing a simulation model, analyzing the errors, determining geological data, carrying out simulation modeling, facilitating a user to know geological conditions, processing geology of different areas, detecting geological states in real time, and determining the simulation geological model.
Example 8:
the invention provides an embodiment, wherein the simulation equipment is used for optimizing the tunnel geological model, and determining fracture information of tunnel geology after the tunnel geological model is optimized, and the method comprises the following steps of:
determining target tunnel geological data based on tunnel geological data stored in the simulation equipment in advance, and generating a target tunnel geological model;
Determining optimization parameters of the tunnel geology according to the simulated geological model and the target tunnel geological model;
optimizing the simulated geologic model according to the optimization parameters, and determining an optimized geologic model;
determining an optimized geological scene and an optimized geological state of the optimized geological model according to the optimized geological model;
determining optimized scene data according to the optimized geological scene;
determining optimized geological data according to the optimized geological state;
determining the optimized data of the tunnel geology according to the optimized scene data and the optimized geology data;
determining fracture information of the tunnel geology according to the optimized geological model and the optimized data; wherein,
the fracture information comprises a geological fracture detection point range, a geological fracture length and a geological fracture width.
The working principle and the beneficial effects of the technical scheme are as follows: according to the actual tunnel model monitored by the original workers, the method can be further optimized, more optimized and accurate data can be obtained, the simulated geologic model is optimized according to the optimized parameters, the optimized geologic model is determined, the optimized parameters are used on the actual tunnel model, the optimized tunnel model is obtained, the state of geologic fracture is determined, and the resisting fracture conditions of different detection point ranges can be compared, so that the geologic model is further optimized.
Example 9:
the embodiment of the present invention is shown in fig. 1, and is characterized in that determining, according to the simulated geological model and the target tunnel geological model, the optimization parameters of the tunnel geology includes:
generating simulated tunnel geological data according to the simulated geological model;
comparing the simulated tunnel geological data with the target tunnel geological data, and determining a data error rate;
determining a simulation error rate according to the state tunnel geological model and the target tunnel geological model;
processing the data error rate and the simulation error rate through a large data center, and determining influence parameters; wherein,
the influencing parameters comprise environmental influencing factors, thermal effect influencing factors and geometric influencing factors;
and generating optimization parameters according to the influence parameters and the target tunnel geological model.
The working principle and the beneficial effects of the technical scheme are as follows: the method comprises the steps of collecting error information and the like caused by environmental influence factors, thermal effect influence factors and geometric influence factors on a detection result, analyzing the error information to obtain characteristics of the error information, then taking the error information into different error information calculation functions by utilizing the characteristics of the error information to obtain error values, carrying out error compensation on the obtained initial simulation geologic model by utilizing the error values to obtain an optimized geologic model, namely the optimized geologic model.
Example 10:
the embodiment of the present invention is shown in fig. 1, and is characterized in that the determining the optimization data of the tunnel geology according to the optimization geological model includes:
step T1: according to the optimized parameter epsilon, a multi-target simulation model of the simulation geological model is obtained, and a simulation function model is determined:
wherein ε i Optimization parameters epsilon representing an i-th layer objective optimization function model max Maximum optimization parameter epsilon representing target optimization function model min Minimum optimization parameter, x, representing target optimization function model i Representing the direction of the simulated geologic model optimization abbreviation corresponding to the i-th layer target optimization function model,n is the number of layers of the target optimization function model;
step T2: extracting an average simulation function G of the multi-target simulation function model i (ε i ，x i ) Determining an optimization mode G' i (ε i ，x i )：
Wherein i is E (0, n), w i Representing weights extracted from an i-th layer objective optimization function model of the multi-objective optimization function model, G i (ε, x) optimizing the average function, G 'for the target model of the target optimization function model for each layer' i (epsilon, x) represents extracting an optimization mode from the target optimization function model;
step T3: optimizing each layer of simulation functions of the multi-objective optimization model, and determining an optimized function model after each layer of optimization:
And step T4, processing the simulated geological model according to the optimization function model based on a processing system of the simulation equipment, and determining an optimized geological model.
The working principle and the beneficial effects of the technical scheme are as follows: by determining the optimized geological scene and the optimized geological state of the optimized geological model according to the optimized geological model, determining the optimized scene data and the optimized geological data, the whole optimized data is more accurate, errors on measurement or devices exist, and the optimized result can be determined through the optimized data, so that the optimized geological model is obtained.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. An excitation composite frequency detection deep fracture geological method, which is characterized by comprising the following steps:
pre-installing power supply electrodes on a detection line in a tunnel, and determining geological physical data and calibration values between the power supply electrodes by utilizing a double-frequency excitation detection device; wherein,
The power supply electrode comprises an electrode A and an electrode B;
the detection circuit comprises an east line and a west line;
transmitting the geological physical data and the calibration value to a big data center, generating a section chart, and determining the geological state condition;
transmitting the section map to simulation equipment, and constructing a simulation tunnel geological model according to the geological state condition;
optimizing the simulated tunnel geological model through the simulation equipment, and determining fracture information of tunnel geology after the simulated tunnel geological model is optimized;
the optimizing the simulated tunnel geological model by the simulation equipment, and determining fracture information of tunnel geology after the simulated tunnel geological model is optimized comprises the following steps:
determining target tunnel geological data based on tunnel geological data stored in the simulation equipment in advance, and generating a target tunnel geological model;
determining optimization parameters of the simulated tunnel geological model according to the simulated tunnel geological model and the target tunnel geological model;
optimizing the simulated tunnel geological model according to the optimization parameters, and determining an optimized geological model;
according to the optimized geological model, determining an optimized geological scene and an optimized geological state condition of the optimized geological model;
Determining optimized scene data according to the optimized geological scene;
determining optimized geological data according to the optimized geological state condition;
determining fracture information of tunnel geology according to the optimized scene data and the optimized geology data; wherein,
the fracture information comprises a geological fracture detection point range, a geological fracture length and a geological fracture width;
optimizing the simulated tunnel geologic model according to the optimization parameters, and determining an optimized geologic model, wherein the optimizing comprises the following steps:
step T1: according to the optimization parametersAcquiring a multi-target simulation model of the simulation tunnel geological model, and determining a multi-target simulation function model:
；
wherein,indicate->Optimization parameters of a layer multi-objective simulation function model, < ->Maximum optimization parameter representing a model of a multi-objective simulation function,/->Minimum optimization parameter representing a model of a multi-objective simulation function,/->Indicate->The direction of optimizing the abbreviation of the simulation tunnel geological model corresponding to the multi-objective simulation function model is n, and n is the number of layers of the multi-objective simulation function model;
step T2:extracting an average simulation function of the multi-target simulation function modelDetermining an optimization mode->：
；
Wherein,representing weights extracted for an i-th layer multi-objective simulation function model of said multi-objective simulation function model, a ++ >For the average simulation function of the multi-objective simulation function model of each layer +.>Representing an optimization mode extracted from the multi-objective simulation function model;
step T3: optimizing each layer of simulation functions of the multi-objective simulation function model, and determining an optimized function model after each layer of optimization:
；
and step T4, processing the simulated tunnel geological model according to the optimization function model based on a processing system of the simulation equipment, and determining an optimized geological model.
2. The method for detecting deep fracture geology through combined excitation frequency according to claim 1, wherein the power supply electrodes are pre-installed on the detection line in the tunnel, and the geological physical data and the calibration value between the power supply electrodes are determined through the dual-frequency excitation detection device, and the method comprises the following steps:
determining a detection position in the tunnel and determining a detection line;
respectively installing an electrode A and an electrode B on an east line and a west line of a detection line, and acquiring apparent resistivity of tunnel geology; wherein,
the electrode A and the electrode B of the power supply electrode are installed by an intermediate gradient method;
the power supply electrode sends current to the underground through a double-frequency excitation detection device to obtain double-frequency combined current; wherein,
The double-frequency excitation detection device comprises a microcomputer excitation electric instrument transmitter and a microcomputer excitation electric instrument receiver and is used for monitoring geological fracture conditions;
according to the double-frequency combined current, determining the amplitude frequency and the apparent resistivity of the tunnel geology;
acquiring an influence coefficient by a sensor pre-installed on the dual-frequency excitation detection device, and calculating a calibration value of potential difference data according to the influence coefficient;
and storing the calibration value, the video frequency and the apparent resistivity to a large data center, and determining the geological physical data of the tunnel according to the video frequency and the apparent resistivity.
3. The method for detecting deep fracture geology of claim 2, wherein said determining the amplitude frequency and apparent resistivity of the tunnel geology from the dual-frequency combined current comprises:
the double-frequency combined current is transmitted to the ground surface of the tunnel through the microcomputer-based electromechanical instrument transmitter, and the high-frequency potential information and the low-frequency potential information of the ground surface are obtained through the microcomputer-based electromechanical instrument receiver;
determining potential difference information of the tunnel geology according to the high-frequency potential information and the low-frequency potential information;
processing the potential difference information through the calibration value of the big data center to determine processing data;
And determining the amplitude frequency and the apparent resistivity of the tunnel geology according to the processing data.
4. The method for detecting deep fracture geology according to claim 2, wherein the sensor pre-installed on the dual-frequency excitation detection device collects an influence coefficient, and calculates the calibration value of the potential difference data according to the influence coefficient, and the method comprises the following steps:
step S1: determining an influence coefficient by a sensor pre-installed on the double-frequency excitation detection device; wherein,
the sensor comprises a temperature sensor, a barometric pressure sensor and a photoelectric sensor;
determining, by the temperature sensor, a temperature detection value as;
Determining the air pressure detection value as by the air pressure sensor；
Determining that the photoelectric area detection value is the following by the photoelectric sensor;
Step S2, according to the temperature detection valueThe detected value of air pressure is->And the photoelectric area detection value is +.>Determining a calibration factor->:
；
Wherein,is the photoelectric area detection value of the photoelectric sensor, < >>Is the beam emergent area of the laser instrument, +.>Is a sine value of the beam angle, +.>Is the angle between the beam of the microcomputer laser electric instrument and the plane of the calibration plate, +.>For standard atmospheric pressure, take ∈ >101325/>，/>Is the air pressure detection value of the air pressure sensor, < >>Is a preset temperature value, ">For the real-time temperature detection value of the temperature sensor, < >>Taking as constant2.7182818，/>Is a quality factor of the light beam, which reflects the focusability of the light beam;
step S3: according to the calibration coefficientCalculating a calibration value of said potential difference information>;
；
Wherein,for the potential difference information of the total field of the excitation of two main frequencies detected by the microcomputer excitation electric instrument,/->Is a calibrated value of the potential difference information.
5. The method of claim 1, wherein the step of transmitting the geophysical data and the calibration values to a large data center, generating a profile, and determining a geological state; comprising the following steps:
transmitting the geophysical data and calibration values to a large data center:
acquiring preset mark points on the detection line;
processing the corresponding video amplitude frequency and the corresponding video resistivity on the mark points through the mark points and the calibration values preset on the detection line, and determining the target video amplitude frequency and the target video resistivity;
extracting the corresponding relation between the mark point and the target video frequency, and generating a first corresponding relation;
extracting the corresponding relation between the mark point and the target apparent resistivity, and generating a second corresponding relation;
Processing the first corresponding relation and the second corresponding relation of the mark points through a big data center to respectively generate a video frequency profile and a video resistivity profile; wherein,
the video frequency cross-section comprises an east video frequency cross-section and a west video frequency cross-section, wherein the cross-section takes a detection point as a horizontal axis and the video frequency as a vertical axis;
the visual resistivity sectional view comprises an east line visual resistivity sectional view and a west line visual resistivity sectional view, wherein the visual resistivity sectional view is a sectional view taking a detection point as a horizontal axis and the visual resistivity as a vertical axis;
determining a cross-sectional view according to the video amplitude frequency cross-sectional view and the video resistivity cross-sectional view;
analyzing the geological condition of the geology according to the section view and the big data center, and generating analysis data;
and determining the geological state condition according to the analysis data and the sectional view.
6. The method for detecting deep fracture geology through the combined excitation frequency according to claim 5, wherein the method is characterized in that the corresponding video amplitude frequency and the corresponding video resistivity on the mark points are processed through the mark points and the calibration values preset on the detection line, and the target video amplitude frequency and the target video resistivity are determined; comprising the following steps:
Determining the range of the mark points according to the mark points preset by the detection circuit;
determining a corresponding marking potential difference range according to the marking point range; wherein,
the marking points are used for marking and restraining the detection range of the detection line;
determining a corresponding mark video amplitude frequency range and a mark video resistivity range according to the mark potential difference range;
and calibrating the mark video frequency in the corresponding mark video frequency range and the mark video resistivity in the mark video resistivity range by using the calibration value to generate a target video frequency and a target video resistivity.
7. The method for detecting deep fracture geology according to claim 1, wherein said transmitting the profile to a predetermined simulation device and simulating tunnel geology through the geological state conditions, constructing a simulated tunnel geology model, comprises:
based on a big data center, extracting and dividing marking points of the profile map, and generating different marking ranges;
processing video amplitude frequency data and video resistivity data of the corresponding section according to the marking range to obtain processing data; wherein,
the processing data comprise geological fracture data and fracture width and thickness data;
Determining a geological state of the marking range according to the processing data and the marking range;
generating a geological state data set according to the geological state;
acquiring the geological state condition and generating geological condition data;
based on simulation equipment, fusing the geological state data set and the geological condition data to generate fused data, and determining a target corresponding relation corresponding to the section view;
and according to the target corresponding relation, taking the fusion data set as a data source, and simulating tunnel geology through simulation equipment to construct a simulated tunnel geological model.
8. The method of claim 1, wherein determining the optimization parameters of the tunnel geology based on the simulated tunnel geology model and the target tunnel geology model comprises:
generating simulated tunnel geological data according to the simulated tunnel geological model;
comparing the simulated tunnel geological data with the target tunnel geological data, and determining a data error rate;
determining a simulation error rate according to the simulation tunnel geological model and the target tunnel geological model;
processing the data error rate and the simulation error rate through a large data center, and determining influence parameters; wherein,
The influencing parameters comprise environmental influencing factors, thermal effect influencing factors and geometric influencing factors;
and generating optimization parameters according to the influence parameters and the target tunnel geological model.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202649483U (en) * | 2011-12-20 | 2013-01-02 | 中国矿业大学(北京) | Electric field constraint method mine security type full mechanized excavation machine carried geological structure detection system |
| CN104597519A (en) * | 2015-02-04 | 2015-05-06 | 山东省物化探勘查院 | Deep gold mine stepwise prospecting method |
| CN204442294U (en) * | 2015-04-22 | 2015-07-01 | 中国矿业大学(北京) | A kind of mining focusing dual-frequency IP instrument chopper amplification circuit |
| CN204649985U (en) * | 2015-04-22 | 2015-09-16 | 中国矿业大学(北京) | A kind of mining focusing dual-frequency IP instrument isolation sampling and control system |
| CN204790022U (en) * | 2015-07-27 | 2015-11-18 | 中国葛洲坝集团第三工程有限公司 | Tunnel is visited water electromagnetic emission machine, transmitting system and is visited water system |
| CN105204074A (en) * | 2015-10-27 | 2015-12-30 | 中国矿业大学(北京) | Mining intrinsically-safe receiving system for electrical signals induced according to focusing double frequency induced polarization method |
| CN105301645A (en) * | 2015-11-18 | 2016-02-03 | 北京市市政工程研究院 | Advanced geological forecasting method of shield construction |
| CN108196307A (en) * | 2017-12-26 | 2018-06-22 | 包金成 | Sine wave phase swashs the technical solution of electricity |
| CN108205160A (en) * | 2017-12-19 | 2018-06-26 | 永清环保股份有限公司 | A kind of refuse landfill geological exploration method |
| CN108828678A (en) * | 2018-08-25 | 2018-11-16 | 林光琴 | A kind of advanced geology for tunnel construction detection system |
| CN109143378A (en) * | 2018-08-02 | 2019-01-04 | 中煤科工集团西安研究院有限公司 | A kind of secondary temporal difference method of the bed-parallel advanced detection of water bearing in coal mine roadway |
| CN109461359A (en) * | 2018-11-16 | 2019-03-12 | 高军 | A kind of aqueous geological structure forward probe method in tunnel |
| CN110118995A (en) * | 2019-04-29 | 2019-08-13 | 山东省地质矿产勘查开发局第六地质大队 | Hidden polymetallic ore prospecting method |
| CN110174703A (en) * | 2019-06-04 | 2019-08-27 | 长江勘测规划设计研究有限责任公司 | A kind of data collector for the infiltration monitoring of DC electrical method water body |
| CN110824582A (en) * | 2019-11-22 | 2020-02-21 | 马忠元 | Comprehensive exploration method for polymetallic minerals |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NO328811B1 (en) * | 2007-12-21 | 2010-05-18 | Advanced Hydrocarbon Mapping A | Method and apparatus for rapid mapping of submarine hydrocarbon reservoirs |
| CN203037864U (en) * | 2013-01-07 | 2013-07-03 | 山东大学 | Forward three-dimensional induced polarization method advanced detection apparatus system for TBM construction tunnel |
| US10830915B2 (en) * | 2018-02-01 | 2020-11-10 | EM Locator Technology, LLC | Method of determining subsurface properties using multifrequency electromagnetic depth sounding |
-
2020
- 2020-11-09 CN CN202011241487.4A patent/CN112255691B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202649483U (en) * | 2011-12-20 | 2013-01-02 | 中国矿业大学(北京) | Electric field constraint method mine security type full mechanized excavation machine carried geological structure detection system |
| CN104597519A (en) * | 2015-02-04 | 2015-05-06 | 山东省物化探勘查院 | Deep gold mine stepwise prospecting method |
| CN204442294U (en) * | 2015-04-22 | 2015-07-01 | 中国矿业大学(北京) | A kind of mining focusing dual-frequency IP instrument chopper amplification circuit |
| CN204649985U (en) * | 2015-04-22 | 2015-09-16 | 中国矿业大学(北京) | A kind of mining focusing dual-frequency IP instrument isolation sampling and control system |
| CN204790022U (en) * | 2015-07-27 | 2015-11-18 | 中国葛洲坝集团第三工程有限公司 | Tunnel is visited water electromagnetic emission machine, transmitting system and is visited water system |
| CN105204074A (en) * | 2015-10-27 | 2015-12-30 | 中国矿业大学(北京) | Mining intrinsically-safe receiving system for electrical signals induced according to focusing double frequency induced polarization method |
| CN105301645A (en) * | 2015-11-18 | 2016-02-03 | 北京市市政工程研究院 | Advanced geological forecasting method of shield construction |
| CN108205160A (en) * | 2017-12-19 | 2018-06-26 | 永清环保股份有限公司 | A kind of refuse landfill geological exploration method |
| CN108196307A (en) * | 2017-12-26 | 2018-06-22 | 包金成 | Sine wave phase swashs the technical solution of electricity |
| CN109143378A (en) * | 2018-08-02 | 2019-01-04 | 中煤科工集团西安研究院有限公司 | A kind of secondary temporal difference method of the bed-parallel advanced detection of water bearing in coal mine roadway |
| CN108828678A (en) * | 2018-08-25 | 2018-11-16 | 林光琴 | A kind of advanced geology for tunnel construction detection system |
| CN109461359A (en) * | 2018-11-16 | 2019-03-12 | 高军 | A kind of aqueous geological structure forward probe method in tunnel |
| CN110118995A (en) * | 2019-04-29 | 2019-08-13 | 山东省地质矿产勘查开发局第六地质大队 | Hidden polymetallic ore prospecting method |
| CN110174703A (en) * | 2019-06-04 | 2019-08-27 | 长江勘测规划设计研究有限责任公司 | A kind of data collector for the infiltration monitoring of DC electrical method water body |
| CN110824582A (en) * | 2019-11-22 | 2020-02-21 | 马忠元 | Comprehensive exploration method for polymetallic minerals |
Non-Patent Citations (2)
| Title |
|---|
| 交流聚焦激电法煤巷超前探测阻容试验模拟;刘志民;刘希高;张金涛;吕一鸣;周游;吴淼;;煤炭学报(第09期);全文 * |
| 基于阻容网络的聚焦双频激电法精准探测正演模拟;李冰;张密科;刘志民;马杰;潘越;吴淼;;煤炭工程(第09期);全文 * |
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