CN111273355B - Advanced detection method and advanced detection system for roadway - Google Patents
Advanced detection method and advanced detection system for roadway Download PDFInfo
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- CN111273355B CN111273355B CN202010182081.7A CN202010182081A CN111273355B CN 111273355 B CN111273355 B CN 111273355B CN 202010182081 A CN202010182081 A CN 202010182081A CN 111273355 B CN111273355 B CN 111273355B
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Abstract
The application discloses advanced detection method and advanced detection system in tunnel, wherein, besides having obtained apparent resistivity data, the advanced detection method in tunnel has still gathered theoretical background apparent resistivity data, and utilize theoretical background apparent resistivity data and every the correction coefficient that measuring electrode corresponds, it is every to measure apparent resistivity data that electrode detected corrects to the bad influence of tunnel cavity to the SNR of data can be overcome well, and survey resolution ratio and degree of accuracy have been improved, provide quantitative data processing and explain the basis for geophysical prospecting personnel.
Description
Technical Field
The application relates to the technical field of roadway detection, in particular to an advanced detection method and an advanced detection system for a roadway.
Background
Roadways are various passages drilled between the earth's surface and the ore body for transporting ore, ventilation, drainage, pedestrians, and various necessary preparation works for mining the ore for metallurgical equipment, etc., and are collectively called roadways.
The roadway advanced detection is a technology for detecting the condition in front of a tunnel face (namely, the non-excavation direction) of a roadway, and various geophysical methods such as a seismic reflection method, a transient electromagnetic method, a direct current method and the like are developed at present. The seismic reflection method has good reaction effect on the structural interface, but has poor reaction effect on low-resistance water-containing bodies. The transient electromagnetic method is an induction electromagnetic method, has the advantages of fast construction, long detection distance and sensitivity to low-resistance water-containing body reaction, but is sensitive to roadway metal induction signals, strong in interference and difficult to separate. The direct current electric method roadway advanced detection is a detection method based on a stable current field, is sensitive to low-resistance water-containing body reaction and strong in signal, and achieves a good application effect in the field of roadway advanced detection at present, but the signal-to-noise ratio of data is reduced due to the existence of the roadway, so that the detection precision is reduced.
Disclosure of Invention
In order to solve the technical problems, the application provides an advanced detection method and an advanced detection system for a roadway, so as to achieve the purposes of improving the signal-to-noise ratio of data and improving the detection precision.
In order to achieve the technical purpose, the embodiment of the application provides the following technical scheme:
the utility model provides an advance detection method in tunnel, realizes based on the measurement system who arranges in the tunnel, measurement system includes first measuring unit and second measuring unit, first measuring unit and second measuring unit set gradually in the first preset direction one side of face, first measuring unit and second measuring unit all include the power supply electrode and set up in the power supply electrode is kept away from a plurality of measuring electrodes of face one side, every measuring electrode includes first electrode and second electrode, advance detection method in tunnel includes:
acquiring pure roadway background abnormity by using the second measurement unit to obtain theoretical background apparent resistivity data;
acquiring potential data detected by the measuring electrode by using the first measuring unit, and acquiring apparent resistivity data according to the position parameters of the measuring system and the potential data;
correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode to obtain corrected apparent resistivity data;
drawing an apparent resistivity curve by using all corrected apparent resistivity data, and acquiring a position parameter of the measuring electrode corresponding to the minimum value according to the apparent resistivity curve;
and calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value.
Optionally, the acquiring, by using the first measurement unit, the potential data detected by the measurement electrode, and obtaining apparent resistivity data according to the position parameter of the measurement system and the potential data includes:
supplying power to a power supply unit in the first measurement unit to form an excitation electric field;
acquiring the potential difference of a first electrode and a second electrode in the measuring electrodes in the excitation electric field as potential data detected by the measuring electrodes;
substituting the potential data detected by the measuring electrode and the position parameter of the measuring system into a first preset formula, and calculating to obtain apparent resistivity data;
the first preset formula includes:
wherein the content of the first and second substances,
AM represents the distance between the current source supplying the supply electrode and the first electrode, AN represents the distance between the current source supplying the supply electrode and the second electrode, MN represents the distance between the first electrode and the second electrode in the measuring electrode, and Delauu represents the distance between the first electrode and the second electrode in the measuring electrodeMNRepresenting the potential difference between the first and second electrodes, I representing the current intensity in the supply electrode, psApparent resistivity data representative of the measure electrode probes.
Optionally, the correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode to obtain corrected apparent resistivity data includes:
inquiring a preset correction coefficient curve according to the section size of the roadway and the distance between the measuring electrodes to obtain a correction coefficient corresponding to each measuring electrode; the preset correction curve stores the corresponding relation among the section size of the roadway, the distance between the measuring electrodes and the correction coefficient;
substituting the correction coefficient corresponding to each measuring electrode and the theoretical background apparent resistivity data into a second preset formula, and calculating to obtain corrected apparent resistivity data corresponding to each measuring electrode;
the second preset formula includes:
wherein α represents a correction coefficient, ρ, corresponding to the measuring electrodelRepresenting the theoretical background apparent resistivity data, ps' represents corrected apparent resistivity data corresponding to the measure electrodes.
Optionally, the calculating the abnormal position of the roadway according to the position parameter of the measurement electrode corresponding to the minimum value includes:
substituting the position parameter of the measuring electrode corresponding to the minimum value into a third preset formula to calculate the abnormal position of the roadway;
the third preset formula includes: dpre＝c1×xmin+c2×s+c3Wherein d ispreIndicating the abnormal position of said roadway, xminA parameter representing the position of the measuring electrode corresponding to said minimum value, c1Denotes a first predetermined constant, c2Denotes a second predetermined constant, c3Representing a third predetermined constant.
Optionally, the first preset constant is 1.07;
the second preset constant is-1.54;
the third predetermined constant is 6.01.
The utility model provides an advance detection system in tunnel, realizes based on the measurement system who arranges in the tunnel, measurement system includes first measuring unit and second measuring unit, first measuring unit and second measuring unit set gradually in the first direction one side of predetermineeing of face, first measuring unit and second measuring unit all include the power supply electrode and set up in the power supply electrode is kept away from a plurality of measuring electrode of face one side, every the measuring electrode includes first electrode and second electrode, the unusual prediction system in tunnel includes:
the background acquisition module is used for acquiring pure roadway background abnormity by using the second measurement unit so as to acquire theoretical background apparent resistivity data;
the data acquisition module is used for acquiring potential data detected by the measuring electrode by using the first measuring unit and acquiring apparent resistivity data according to the position parameters of the measuring system and the potential data;
the data correction module is used for correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode so as to obtain corrected apparent resistivity data;
the curve drawing module is used for drawing an apparent resistivity curve by using all corrected apparent resistivity data and obtaining a position parameter of the measuring electrode corresponding to the minimum value according to the apparent resistivity curve;
and the abnormity prediction module is used for calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value.
Optionally, the data acquisition module is specifically configured to supply power to a power supply unit in the first measurement unit to form an excitation electric field;
acquiring the potential difference of a first electrode and a second electrode in the measuring electrodes in the excitation electric field as potential data detected by the measuring electrodes;
substituting the potential data detected by the measuring electrode and the position parameter of the measuring system into a first preset formula, and calculating to obtain apparent resistivity data;
the first preset formula includes:
wherein the content of the first and second substances,
AM represents the distance between the current source supplying the supply electrode and the first electrode, AN represents the distance between the current source supplying the supply electrode and the second electrode, MN represents the distance between the first electrode and the second electrode in the measuring electrode, and Delauu represents the distance between the first electrode and the second electrode in the measuring electrodeMNRepresenting the potential difference between the first and second electrodes, I representing the current intensity in the supply electrode, psApparent resistivity data representative of the measure electrode probes.
Optionally, the data correction module is specifically configured to query a preset correction coefficient curve according to the size of the section of the roadway and the distance between the measurement electrodes, and obtain a correction coefficient corresponding to each measurement electrode; the preset correction curve stores the corresponding relation among the section size of the roadway, the distance between the measuring electrodes and the correction coefficient;
substituting the correction coefficient corresponding to each measuring electrode and the theoretical background apparent resistivity data into a second preset formula, and calculating to obtain corrected apparent resistivity data corresponding to each measuring electrode;
the second preset formula includes:
wherein α represents a correction coefficient, ρ, corresponding to the measuring electrodelRepresenting the theoretical background apparent resistivity data, ps' represents corrected apparent resistivity data corresponding to the measure electrodes.
Optionally, the anomaly prediction module is specifically configured to substitute a position parameter of the measurement electrode corresponding to the minimum value into a third preset formula, and calculate an anomaly position of the roadway;
the third preset formula includes: dpre＝c1×xmin+c2×s+c3Wherein d ispreIndicating the abnormal position of said roadway, xminA parameter representing the position of the measuring electrode corresponding to said minimum value, c1Denotes a first predetermined constant, c2Denotes a second predetermined constant, c3Representing a third predetermined constant.
Optionally, the first preset constant is 1.07;
the second preset constant is-1.54;
the third predetermined constant is 6.01.
According to the technical scheme, the advanced detection method and the advanced detection system for the roadway are provided, wherein the advanced detection method for the roadway acquires theoretical background apparent resistivity data besides apparent resistivity data, and corrects the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode so as to filter the adverse effect of a roadway cavity on the signal-to-noise ratio of the data, so that the detection precision of the advanced detection method based on the direct current method is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of an arrangement of a measurement system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for advanced detection of a roadway according to an embodiment of the present application;
fig. 3 is a schematic diagram of a full-space roadway model provided in an embodiment of the present application;
fig. 4 is an unstructured tetrahedral mesh of a full-space roadway model provided by an embodiment of the present application;
FIG. 5 is a graph illustrating an electrode distance versus a correction factor according to an embodiment of the present disclosure;
fig. 6 is a low-resistance abnormal roadway model provided in an embodiment of the present application;
FIG. 7 is an apparent resistivity graph provided in accordance with an embodiment of the present application;
FIG. 8 is a schematic diagram of a fitting prediction formula provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides an advanced detection method in tunnel, based on the measurement system realization of arranging in the tunnel, refer to fig. 1, measurement system includes first measuring unit and second measuring unit, first measuring unit and second measuring unit set gradually in the first predetermined direction one side of face, first measuring unit and second measuring unit all include the power supply electrode and set up in the power supply electrode is kept away from a plurality of measuring electrodes of face one side, every measuring electrode includes first electrode and second electrode, refer to fig. 2, the advanced detection method in tunnel includes:
s101: acquiring pure roadway background abnormity by using the second measurement unit to obtain theoretical background apparent resistivity data;
s102: acquiring potential data detected by the measuring electrode by using the first measuring unit, and acquiring apparent resistivity data according to the position parameters of the measuring system and the potential data;
s103: correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode to obtain corrected apparent resistivity data;
s104: drawing an apparent resistivity curve by using all corrected apparent resistivity data, and acquiring a position parameter of the measuring electrode corresponding to the minimum value according to the apparent resistivity curve;
s105: and calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value.
Fig. 1 is a schematic diagram illustrating the installation position of the measuring system in the roadway, in fig. 1, Tunnel face represents the Tunnel face, a2 represents the power supply electrode in the first measuring unit, a1 represents the power supply electrode in the first measuring unit, and M and N represent the first electrode and the second electrode in the measuring electrode, respectively.
The tunnel face is a term in tunnel construction. I.e. a working face where the excavation of a tunnel (in coal mining, mining or tunnelling) is constantly propelled forward.
In fig. 1, the first predetermined direction is indicated by an arrow R1, which is a side of the tunnel face in the excavation direction. First measuring unit with second measuring unit all set up in the first direction one side of predetermineeing of palm face, wherein, optionally, power supply electrode in the second measuring unit with the value of the distance of palm face can be selected to 90 meters, 95 meters or 100 meters etc. first measuring unit's power supply electrode can hug closely the palm face sets up, first measuring unit's power supply electrode is in power supply electrode keeps away from palm face one side (promptly power supply electrode first predetermine direction one side) sets gradually, and is adjacent interval between the measuring electrode is preferred the same, the interval of first electrode and second electrode is preferred the same in the measuring electrode.
Because the second measuring unit has a certain distance (for example, 100 meters) from the tunnel face, the data acquired by the second measuring unit can be regarded as pure roadway background abnormality after being processed.
Specifically, the position parameter of the measurement electrode corresponding to the minimum value is the electrode distance of the measurement electrode with the minimum value in the apparent resistivity curve, and the electrode distance is the distance from the measurement electrode to a current source for supplying power to the power supply electrode.
The abnormal position of the roadway calculated in step S105 may refer to position information of a hydrated abnormal body in front of the full-space roadway.
The following describes possible specific steps of the advance measurement method for a roadway provided in the embodiment of the present application.
Optionally, in an embodiment of the present application, the acquiring, by using the first measurement unit, the potential data detected by the measurement electrode, and obtaining apparent resistivity data according to the position parameter of the measurement system and the potential data includes:
supplying power to a power supply unit in the first measurement unit to form an excitation electric field;
acquiring the potential difference of a first electrode and a second electrode in the measuring electrodes in the excitation electric field as potential data detected by the measuring electrodes;
substituting the potential data detected by the measuring electrode and the position parameter of the measuring system into a first preset formula, and calculating to obtain apparent resistivity data;
the first preset formula includes:
wherein the content of the first and second substances,
AM represents the distance between the current source supplying the supply electrode and the first electrode, AN represents the distance between the current source supplying the supply electrode and the second electrode, MN represents the distance between the first electrode and the second electrode in the measuring electrode, and Delauu represents the distance between the first electrode and the second electrode in the measuring electrodeMNRepresenting the potential difference between the first and second electrodes, I representing the current intensity in the supply electrode, psApparent resistivity data representative of the measure electrode probes.
The correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode to obtain the corrected apparent resistivity data comprises the following steps:
inquiring a preset correction coefficient curve according to the section size of the roadway and the distance between the measuring electrodes to obtain a correction coefficient corresponding to each measuring electrode; the preset correction curve stores the corresponding relation among the section size of the roadway, the distance between the measuring electrodes and the correction coefficient;
substituting the correction coefficient corresponding to each measuring electrode and the theoretical background apparent resistivity data into a second preset formula, and calculating to obtain corrected apparent resistivity data corresponding to each measuring electrode;
the second preset formula includes:
wherein α represents a correction coefficient, ρ, corresponding to the measuring electrodelRepresenting the theoretical background apparent resistivity data, ps' represents corrected apparent resistivity data corresponding to the measure electrodes.
In this embodiment, the preset correction curve may be drawn in advance by means of modeling simulation.
The step of calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value comprises the following steps:
substituting the position parameter of the measuring electrode corresponding to the minimum value into a third preset formula to calculate the abnormal position of the roadway;
the third preset formula includes: dpre＝c1×xmin+c2×s+c3Wherein d ispreIndicating the abnormal position of said roadway, xminA parameter representing the position of the measuring electrode corresponding to said minimum value, c1Denotes a first predetermined constant, c2Denotes a second predetermined constant, c3Representing a third predetermined constant.
Optionally, the first preset constant is 1.07;
the second preset constant is-1.54;
the third predetermined constant is 6.01.
The process of obtaining the third preset formula is described as follows:
s11: establishing a pure roadway geological model based on a non-structural finite unit, as shown in fig. 3 and 4, collecting potential data detected in advance by a direct current electrical method, and obtaining apparent resistivity data of the model through formula conversion; fig. 3 is a schematic diagram of a full-space roadway model, in fig. 3, a surface line represents a general name of a first electrode and a second electrode in the measuring electrode, and a Current source represents a power supply for supplying power to the measuring electrode. Tunnel denotes a roadway. FIG. 4 is an unstructured tetrahedral mesh of the model. The coordinate system in fig. 3 is a y-z coordinate system established with z-axis parallel to the face of the roadway and perpendicular to the roadway extension direction.
S12: acquiring pure roadway background abnormality at a certain distance behind a roadway face (namely, one side in a first preset direction) of the model to obtain theoretical background apparent resistivity data of the model, and correcting the apparent resistivity data of the model by using a ratio method;
as shown in fig. 5, when the feed electrode spacing and the cross-sectional area of the roadway are both small, the apparent resistivity curve is more severely distorted with the increase of the cross-sectional area of the roadway due to the influence of the high-rise of the roadway cavity, so that the influence of the roadway cannot be ignored, correction must be performed, and the apparent resistivity data under the condition of large electrode spacing is relatively ideal. In fig. 5, the abscissa Offset represents the electrode distance, i.e., the Offset distance between the measuring electrode and the current source, the ordinate Correction factor represents the Correction factor, the curve pointed to by Q1 in fig. 5 is a relationship curve between the electrode distance and the Correction factor when the cross-sectional area of the tunnel is 4 mx 4m, the curve pointed to by Q2 is a relationship curve between the electrode distance and the Correction factor when the cross-sectional area of the tunnel is 3 mx 3m, and the curve pointed to by Q3 is a relationship curve between the electrode distance and the Correction factor when the cross-sectional area of the tunnel is 2 mx 2 m.
S13: and (3) establishing a low-resistance abnormal roadway model, as shown in fig. 6, adopting a three-pole device, not knowing a current source and a measuring line with the length of 180m on a roadway bottom plate, wherein the distance between a first electrode and a second electrode in the measuring electrodes is 2m, the resistance of the background surrounding rock is 500 omega m, the scale of the abnormal body is 10m multiplied by 10m, the resistivity is 20 omega m, and the distance from the tunnel face is 10 m. In fig. 6, Tunnel face represents the palm face, and Anomaly represents an abnormal body. The coordinate system in fig. 6 is a right-hand coordinate system established with the z-axis parallel to the tunnel face and perpendicular to the tunnel extension direction.
S14: drawing a view resistivity curve graph, as shown in fig. 7, obtaining the real position of the abnormal body according to the linear relation at the abscissa position corresponding to the minimum value of the curve in fig. 7; in fig. 7, the abscissa Offset represents the electrode pitch of the measurement electrode, the unit is m, the ordinate application resistivity represents the Apparent resistivity, the unit is Ω m, the curve pointed to by Q4 in fig. 7 is a relationship curve between the electrode pitch and the Apparent resistivity when the cross-sectional area of the tunnel is 2 mx 2m, the curve pointed to by Q5 is a relationship curve between the electrode pitch and the Apparent resistivity when the cross-sectional area of the tunnel is 2 mx 3m, and the curve pointed to by Q6 is a relationship curve between the electrode pitch and the Apparent resistivity when the cross-sectional area of the tunnel is 3 mx 3 m.
S15: and establishing a plurality of groups (for example, 12 groups) of low-resistance abnormal roadway models, and counting the positions of the minimum values under the conditions of different abnormal body distances and different roadway sizes. And obtaining a fitting prediction formula shown in fig. 8, namely the third preset formula, by adopting a multivariate linear fitting mode. In fig. 8, the abscissa Offset of minimum value is a position parameter of the measuring electrode corresponding to the minimum value (i.e., the electrode distance of the measuring electrode corresponding to the minimum value), and the unit is m, and the ordinate Prediction distance represents the predicted abnormal position of the roadway, and the unit is m; in fig. 8, s is 6m2The cross-sectional area of the tunnel is 6m2，s＝8m2The cross-sectional area of the tunnel is 8m2，s＝12m2The cross-sectional area of the tunnel is 12m2Fixed results represent the fit result curve.
Still referring to fig. 6, the establishing of the low resistance abnormal roadway model may include:
s21: the geometric dimension of the model is designed, for example, the length of the tunnel cavity scale can be set to 200m, and the cross-sectional area can be set to 4m respectively2、6m2And 9m2The scale of the abnormal body is 10m multiplied by 10m, the model boundary needs to be ensured to be large enough in the design process, a power supply current source is arranged on the tunnel face of the tunnel, the power supply electrode is arranged at the position which is far from the rear of the tunnel (namely the first preset direction) and is at the infinite distance relative to the size of the abnormal body, and the first electrode and the second electrode in the measuring electrode are arranged behind the tunnel bottom plate at the interval of 2 m. Editing a text geometric model by utilizing Tetgen open source software, and performing grid division to obtain three files of points, lines and planes of the model;
s22: compiling a forward execution program by using Visual Studio and Fortran compiling environments and combining a direct current method roadway advanced detection theory and finite element analysis, importing a model, and performing simulation calculation;
after the low-resistance abnormal roadway model is established, S23: sequentially supplying power to a plurality of (for example, 90) measuring electrodes, acquiring the potential difference between the first electrode and the second electrode, and converting the potential difference into apparent resistivity data by using a full-space tripolar apparent resistivity formula (namely, the first preset formula);
s24: acquiring pure roadway background abnormality at a certain distance (for example, 100m) behind a roadway face to obtain theoretical background apparent resistivity data, and correcting the apparent resistivity data by using a ratio method (namely the second preset formula);
s25: and after the corrected apparent resistivity data is obtained, drawing an apparent resistivity curve graph, extracting the position of a minimum value, and quantitatively explaining the position information of the water-containing abnormal body in front of the full-space roadway by combining a prediction formula.
In summary, because the actual underground structure is complex, the cavity of the tunnel has high resistivity, which makes the reliability of data of the tunnel advanced detection direct current method doubtful, and the existence of the tunnel reduces the detection resolution and the data signal to noise ratio. In view of the frequent occurrence of mine disaster accidents, the accurate interpretation and prediction of the direct current resistivity method become very important. In the past, scholars proposed great tunnel influence in the 90 s, but the tunnel influence was not introduced into a prediction model, and secondly, an early tunnel influence research method is rough, the theory is based on simple physical model simulation, and experimental errors are large. Therefore, the embodiment of the application provides an advanced detection method and an advanced detection system for a roadway, wherein the advanced detection method for the roadway acquires theoretical background apparent resistivity data besides apparent resistivity data, and corrects the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and a correction coefficient corresponding to each measuring electrode so as to filter out adverse effects of a roadway cavity on the signal-to-noise ratio of the data, so that the problem of low signal-to-noise ratio of the data caused by the influence of the roadway cavity can be well solved, the detection resolution and accuracy are improved, and a quantitative data processing and interpretation basis is provided for geophysical prospecting personnel.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The utility model provides an advance detection method in tunnel, its characterized in that, realizes based on the measurement system who arranges in the tunnel, measurement system includes first measuring unit and second measuring unit, first measuring unit and second measuring unit set gradually in the first preset direction one side of face, first measuring unit and second measuring unit all include the power supply electrode and set up in the power supply electrode is kept away from a plurality of measuring electrodes of face one side, every measuring electrode includes first electrode and second electrode, the advance detection method in tunnel includes:
acquiring pure roadway background abnormity by using the second measurement unit to obtain theoretical background apparent resistivity data;
acquiring potential data detected by the measuring electrode by using the first measuring unit, and acquiring apparent resistivity data according to the position parameters of the measuring system and the potential data;
correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode to obtain corrected apparent resistivity data;
drawing an apparent resistivity curve by using all corrected apparent resistivity data, and acquiring a position parameter of the measuring electrode corresponding to the minimum value according to the apparent resistivity curve;
calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value;
the step of calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value comprises the following steps:
substituting the position parameter of the measuring electrode corresponding to the minimum value into a third preset formula to calculate the abnormal position of the roadway;
the third preset formula includes: dpre＝c1×xmin+c2×s+c3Wherein d ispreIndicating the abnormal position of said roadway, xminA parameter representing the position of the measuring electrode corresponding to said minimum value, c1Denotes a first predetermined constant, c2Denotes a second predetermined constant, c3And (4) representing a third preset constant parameter, and s represents the section area of the roadway.
2. The method of claim 1, wherein the collecting potential data detected by the measure electrode using the first measure unit and obtaining apparent resistivity data based on the position parameter of the measure system and the potential data comprises:
supplying power to a power supply unit in the first measurement unit to form an excitation electric field;
acquiring the potential difference of a first electrode and a second electrode in the measuring electrodes in the excitation electric field as potential data detected by the measuring electrodes;
substituting the potential data detected by the measuring electrode and the position parameter of the measuring system into a first preset formula, and calculating to obtain apparent resistivity data;
the first preset formula includes:
wherein the content of the first and second substances,
AM represents the distance between the current source supplying the supply electrode and the first electrode, AN represents the distance between the current source supplying the supply electrode and the second electrode, MN represents the distance between the first electrode and the second electrode in the measuring electrode, and Delauu represents the distance between the first electrode and the second electrode in the measuring electrodeMNRepresenting the potential difference between the first and second electrodes, I representing the current intensity in the supply electrode, psApparent resistivity data representative of the measure electrode probes.
3. The method of claim 1, wherein the correcting the apparent resistivity data detected by each of the measure electrodes by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each of the measure electrodes to obtain corrected apparent resistivity data comprises:
inquiring a preset correction coefficient curve according to the section size of the roadway and the distance between the measuring electrodes to obtain a correction coefficient corresponding to each measuring electrode; the preset correction curve stores the corresponding relation among the section size of the roadway, the distance between the measuring electrodes and the correction coefficient;
substituting the correction coefficient corresponding to each measuring electrode and the theoretical background apparent resistivity data into a second preset formula, and calculating to obtain corrected apparent resistivity data corresponding to each measuring electrode;
the second preset formula includes:
wherein α represents a correction coefficient, ρ, corresponding to the measuring electrodelRepresenting the theoretical background apparent resistivity data, ps' represents corrected apparent resistivity data corresponding to the measure electrodes.
4. The method of claim 1, wherein the first predetermined constant is 1.07;
the second preset constant is-1.54;
the third predetermined constant is 6.01.
5. The utility model provides an advance detection system in tunnel, its characterized in that is based on the measurement system who arranges in the tunnel realizes, measurement system includes first measuring unit and second measuring unit, first measuring unit and second measuring unit set gradually in the first predetermined direction one side of face, first measuring unit and second measuring unit all include the power supply electrode and set up in the power supply electrode is kept away from a plurality of measuring electrode of face one side, every the measuring electrode includes first electrode and second electrode, the unusual prediction system in tunnel includes:
the background acquisition module is used for acquiring pure roadway background abnormity by using the second measurement unit so as to acquire theoretical background apparent resistivity data;
the data acquisition module is used for acquiring potential data detected by the measuring electrode by using the first measuring unit and acquiring apparent resistivity data according to the position parameters of the measuring system and the potential data;
the data correction module is used for correcting the apparent resistivity data detected by each measuring electrode by using the theoretical background apparent resistivity data and the correction coefficient corresponding to each measuring electrode so as to obtain corrected apparent resistivity data;
the curve drawing module is used for drawing an apparent resistivity curve by using all corrected apparent resistivity data and obtaining a position parameter of the measuring electrode corresponding to the minimum value according to the apparent resistivity curve;
the abnormity prediction module is used for calculating the abnormal position of the roadway according to the position parameter of the measuring electrode corresponding to the minimum value;
the anomaly prediction module is specifically used for substituting the position parameter of the measuring electrode corresponding to the minimum value into a third preset formula to calculate the anomaly position of the roadway;
the third preset maleThe formula comprises: dpre＝c1×xmin+c2×s+c3Wherein d ispreIndicating the abnormal position of said roadway, xminA parameter representing the position of the measuring electrode corresponding to said minimum value, c1Denotes a first predetermined constant, c2Denotes a second predetermined constant, c3And (4) representing a third preset constant parameter, and s represents the section area of the roadway.
6. The system according to claim 5, wherein the data acquisition module is specifically configured to supply power to a power supply unit in the first measurement unit to form an excitation electric field;
acquiring the potential difference of a first electrode and a second electrode in the measuring electrodes in the excitation electric field as potential data detected by the measuring electrodes;
substituting the potential data detected by the measuring electrode and the position parameter of the measuring system into a first preset formula, and calculating to obtain apparent resistivity data;
the first preset formula includes:
wherein the content of the first and second substances,
AM represents the distance between the current source supplying the supply electrode and the first electrode, AN represents the distance between the current source supplying the supply electrode and the second electrode, MN represents the distance between the first electrode and the second electrode in the measuring electrode, and Delauu represents the distance between the first electrode and the second electrode in the measuring electrodeMNRepresenting the potential difference between the first and second electrodes, I representing the current intensity in the supply electrode, psApparent resistivity data representative of the measure electrode probes.
7. The system according to claim 5, wherein the data correction module is specifically configured to query a preset correction coefficient curve according to the section size of the roadway and the distance between the measurement electrodes, and obtain a correction coefficient corresponding to each measurement electrode; the preset correction curve stores the corresponding relation among the section size of the roadway, the distance between the measuring electrodes and the correction coefficient;
substituting the correction coefficient corresponding to each measuring electrode and the theoretical background apparent resistivity data into a second preset formula, and calculating to obtain corrected apparent resistivity data corresponding to each measuring electrode;
the second preset formula includes:
wherein α represents a correction coefficient, ρ, corresponding to the measuring electrodelRepresenting the theoretical background apparent resistivity data, ps' represents corrected apparent resistivity data corresponding to the measure electrodes.
8. The system of claim 5, wherein the first predetermined constant is 1.07;
the second preset constant is-1.54;
the third predetermined constant is 6.01.
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