CN217981892U - Earth surface multi-source electromagnetic earthquake cooperative intelligent advanced geological prediction equipment - Google Patents

Abstract

The utility model discloses a cooperative intelligent advance geology forecast equipment of earth's surface multisource electromagnetism shake, tensor sensor, AD conversion, FPGA chip, singlechip including interconnect send FPGA after the AD conversion to handle, finally through the operation of singlechip, obtain the rerum natura parameter of wanting the measurement. The utility model discloses realize electricity, magnetism, shake multi-parameter collection for the first time, realize that an equipment can carry out the measurement of multiple rerum natura parameter, carry out advance geology forecast in coordination, reduce the many resolutions nature of interpreting, and can effective recognition random disturbance, reduce the explanation degree of difficulty that random disturbance brought. The utility model adopts a node type design, has small volume and is convenient for field construction; the low-power-consumption design is adopted, long-time continuous collection is supported, the working efficiency can be greatly improved, the personnel expenditure is reduced, the economic cost is reduced, and the complex construction environment is met. And the utility model discloses ground multi-parameter is under construction in coordination, and the application scene is extensive, and is higher than the interior construction safety of tunnel.

Description

Earth surface multi-source electromagnetic earthquake cooperative intelligent advanced geological prediction equipment

Technical Field

The utility model relates to a geophysical exploration technical field, concretely relates to surface multisource electromagnetism is shaken intelligent advance geology forecast equipment in coordination.

Background

The advance geological forecast technology for tunnel mainly includes: advanced drilling (advanced pilot pit, exploratory hole, advanced drilling, etc.), seismic reflection (tunnel negative velocity method, tunnel Seismic Prediction (TSP), tunnel reflection imaging (TRT), minimum offset seismic wave method, etc.), electromagnetic (geological radar, tunnel transient electromagnetism, etc.), direct current electrical (induced polarization method, resistivity method, etc.), and other methods (nuclear magnetic resonance method, infrared water-exploring method, temperature-exploring method, etc.).

The advanced drilling method can accurately infer the front geological condition in an area with simpler geological conditions, but the method has longer operation time and high construction cost, and drilling in a broken zone or a joint crack dense zone is easy to cause drill sticking. In addition, the advanced drilling method often causes the missing report and the missing detection of the poor geologic body due to the problem of 'one hole observation'.

As shown in figure 1, the seismic reflection method is generally suitable for tunnel surrounding rock type prediction, and has a good effect of predicting geological bodies with poor rules, such as fault fracture zones, lithologic contact zones and the like. However, the detection method needs to occupy the tunnel face and the side walls at two sides, and the time consumption is long. Seismic reflection methods generally adopt detonators or emulsion explosives for seismic source excitation, and have safety problems.

As shown in fig. 2 and 3, the electromagnetic method has a good effect on detecting surrounding rock characteristics such as crack development degree and underground water development condition, and poor geologic bodies such as fault fracture zone, karst cave, water-rich area, weak interlayer and fractured rock mass, and is particularly suitable for detecting water body. But electromagnetic methods are susceptible to interference from irregularities in the tunnel face or other electromagnetic fields in the tunnel.

As shown in fig. 4, the large-scale water body in the tunnel is detected by using the change of electrical property and polarization characteristics caused by the rock body and the difference of the water content of the rock body by the direct current method. The direct current method is difficult to shield side abnormal interference (such as low-resistance water-containing body, metal components and the like) near the measuring line, and is difficult to extract useful information in front of the tunneling surface from background interference data in a complex environment, so that the prediction precision is easy to reduce and even misreport.

In summary, the traditional advanced geological prediction technology utilizes single physical parameters, the methods are independent, the used instruments and equipment are heavy, and the method integration level is low. Moreover, most of the advanced geological prediction technologies operate near the tunnel face, so that the tunnel excavation construction progress is influenced on one hand, and the instability of the tunnel face increases the environmental risk of field operators on the other hand.

At present, foreign multi-parameter acquisition equipment is few, most of the foreign multi-parameter acquisition equipment is electric multifunctional instrument equipment, but the products of the earthquake and the electric method do not exist, and some domestic papers also disclose the assumption of the multi-parameter products of the earthquake and the electric method, but do not see mature commercialized products.

SUMMERY OF THE UTILITY MODEL

The utility model provides a surface multisource electromagnetism shakes intelligent advance geology forecast equipment in coordination can simultaneously take notes electric field, electromagnetic field, vibrations information, and multiple geophysical parameter is gathered to the cloth utmost point once, improves field work efficiency, reduces construction cost.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

a surface multi-source electromagnetic earthquake collaborative intelligent advanced geological prediction device comprises a tensor sensor, an A/D conversion unit, an FPGA chip and a single chip microcomputer which are connected with each other, wherein a sensor signal is sent to the FPGA for processing after the A/D conversion, and finally a physical property parameter to be measured is obtained through the operation of the single chip microcomputer.

Preferably, the system further comprises a posture sensor connected with the FPGA chip and used for judging the posture; the GPS/Beidou positioning system is connected with the singlechip and is used for timing and positioning the whole equipment; the SD card is connected with the single chip microcomputer and used for real-time local storage; the network port is connected with the single chip microcomputer and used for connecting a communication station and carrying out networking and data cloud platform management; and the LED indicator light is connected with the single chip microcomputer and used for judging the state of the equipment.

Preferably, the system further comprises a DSP chip, wherein the DSP chip is respectively connected with the FPGA chip, the single chip microcomputer, the SRAM and the USBMCU, a large amount of collected data are directly transmitted into the DSP through the FPGA for processing, the processed data are stored in the SRAM for later use, and the processed data are transmitted to the upper computer through the DSP and the USBMCU modules when needed.

Preferably, the device further comprises an internal or external rechargeable power supply.

Preferably, the a/D conversion is connected to the tensor sensor through a two-stage amplifier circuit and an SMA joint, the two-stage amplifier circuit includes a first-stage single-ended amplifier and a differential amplifier, the first-stage single-ended amplifier is connected to the SMA joint, the differential amplifier is connected to the a/D conversion, a signal enters from the SMA joint, and the signal is converted into a differential signal through a differential operational amplifier after being amplified by the first-stage single-ended amplifier, and the differential signal is provided to the a/D conversion controlled by the FPGA for acquisition.

Preferably, the tensor sensor includes an electrical sensor, a seismic sensor, and an electromagnetic sensor.

Preferably, the a/D conversion uses a 32-bit high-precision conversion chip.

Due to the structure, the beneficial effects of the utility model reside in that:

1. the utility model discloses realize electricity, magnetism, shake multi-parameter collection for the first time, realize that an equipment can carry out the measurement of multiple rerum natura parameter, carry out advance geology forecast in coordination, reduce the many resolutions nature of interpreting, and can effective recognition random disturbance, reduce the explanation degree of difficulty that random disturbance brought.

2. The utility model adopts a node type design, has small volume and is convenient for field construction; the low-power-consumption design is adopted, long-time continuous collection is supported, the working efficiency can be greatly improved, the personnel expenditure is reduced, the economic cost is reduced, and the complex construction environment is met.

3. The utility model discloses ground multi-parameter is under construction in coordination, and the application scene is extensive, and is higher than the interior construction safety of tunnel.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below.

FIG. 1 is a schematic diagram of the working principle and arrangement of the seismic reflection method in the prior art;

fig. 2 and 3 are schematic diagrams of field layout of electromagnetic methods in the prior art;

FIG. 4 is a schematic diagram of a DC electric field layout in the prior art;

FIG. 5 is a block diagram of the present invention;

FIG. 6 is a schematic diagram of the operation of the present invention;

fig. 7 is the utility model discloses a many physical quantities of multi-parameter intelligent node synthesizes collection system frame diagram.

Detailed Description

The technical solution of the present invention will be clearly and completely described below with reference to the drawings of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts all belong to the protection scope of the present invention.

As shown in fig. 5 to 7, the embodiment provides a surface multi-source electromagnetic earthquake collaborative intelligent advanced geological prediction device, which includes a tensor sensor, an a/D converter, an FPGA chip, and a single chip microcomputer, which are connected to each other, wherein a sensor signal is sent to the FPGA for processing after the a/D converter, and finally a physical property parameter to be measured is obtained through the operation of the single chip microcomputer.

In this embodiment, still include the attitude sensor who is connected with the FPGA chip, GPS/big dipper positioning system, SD card, net gape, LED pilot lamp etc. be connected with the singlechip.

In this embodiment, the system further comprises a DSP chip, and the DSP chip is connected to the FPGA chip, the single chip, the SRAM, and the USBMCU, respectively.

In this embodiment, the device further includes an internal or external rechargeable power supply, which is provided for the whole device.

In this embodiment, the a/D converter is connected to the tensor sensor through a two-stage amplifier circuit and an SMA connector, the two-stage amplifier circuit includes a first-stage single-ended amplifier and a differential amplifier, the first-stage single-ended amplifier is connected to the SMA connector, and the differential amplifier is connected to the a/D converter.

In the present embodiment, the tensor sensors include, but are not limited to, electrical methods sensors, seismic sensors, and electromagnetic sensors.

In this embodiment, the a/D conversion uses a 32-bit high-precision conversion chip, which can improve the precision of the device.

The working principle of the structure is as follows:

the whole machine design idea of the device is to realize the acquisition of different geophysical parameters by three geophysical sensors, namely a three-channel acquisition station, an electricity-changing sensor, a seismic sensor and a magnetic sensor. Time service synchronization is carried out between each acquisition station through a GPS/Beidou system, and management, real-time monitoring, remote data downloading and the like of a 4G/5G cloud platform can be carried out through an external expansion unit. Specifically, sensor signals acquired by tensor sensors such as an electrical sensor, a seismic sensor and an electromagnetic sensor enter from an SMA connector, are amplified by a first-stage single end and then converted into differential signals through a differential operational amplifier, and the differential signals are provided for a high-precision differential operational Amplifier (ADC) controlled by an FPGA to be acquired. A large amount of data after gathering directly transmits into DSP through FPGA and handles, and the data of handling is saved and is stored SRAM for use, passes to the host computer through DSP and USBMCU module when needing. And the master control CPU in the single chip microcomputer is responsible for coordinating the work of the FPGA and the DSP and reading the GPS data and GUI implementation. In the process, the GPS/Beidou is used for time service and positioning of the whole system, the attitude sensor can judge the attitude, the SD card can be locally stored in real time, the equipment is further provided with a network port to carry out networking and data cloud platform management, the system state is judged through the LED prompting lamp, and the power is supplied to the whole system through a built-in or external power supply.

The key point of the device for realizing simultaneous acquisition of multiple parameters is that the analog front end debugging circuit can be compatible with input of signals of various sensors of different types such as electricity, magnetism, earthquake and the like, and the signals are guaranteed not to be distorted. In addition, the cooperative measurement of multiple parameters of the electromagnetic shock is realized on the ground, the aim of accurately forecasting the unfavorable geological phenomenon in the tunneling direction is fulfilled, and a dangerous and inefficient forecasting method near the tunnel face can be replaced.

The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The utility model provides a surface multisource electromagnetism is shaken intellectuality advance geology forecast equipment in coordination which characterized in that: the device comprises a tensor sensor, an A/D converter, an FPGA chip and a single chip microcomputer which are connected with each other, wherein a sensor signal is sent to the FPGA for processing after the A/D converter, and finally a physical property parameter to be measured is obtained through the operation of the single chip microcomputer.

2. The surface multi-source electromagnetic seismic collaborative intelligent advanced geological prediction equipment as claimed in claim 1, wherein: the attitude sensor is connected with the FPGA chip and used for judging the attitude; the GPS/Beidou positioning system is connected with the singlechip and is used for timing and positioning the whole equipment; the SD card is connected with the singlechip and is used for real-time local storage; the network port is connected with the singlechip and is used for connecting a communication station and carrying out networking and data cloud platform management; and the LED indicator light is connected with the single chip microcomputer and used for judging the state of the equipment.

3. The surface multisource electromagnetic seismic collaborative intelligent advanced geological prediction equipment according to claim 1, which is characterized in that: still include the DSP chip, the DSP chip is connected with FPGA chip, singlechip, SRAM and USBMCU respectively, and a large amount of data after gathering directly pass into DSP through FPGA and handle, and the data that handle are saved in and are stored SRAM for use, pass to the host computer via DSP and USBMCU module when needing.

4. The surface multi-source electromagnetic seismic collaborative intelligent advanced geological prediction equipment as claimed in claim 1, wherein: also comprises a built-in or external rechargeable power supply.

5. The surface multi-source electromagnetic seismic collaborative intelligent advanced geological prediction equipment as claimed in claim 1, wherein: the A/D conversion is connected with the tensor sensor through a two-stage amplifying circuit and an SMA connector, the two-stage amplifying circuit comprises a one-stage single-ended amplifier and a differential amplifier, the one-stage single-ended amplifier is connected with the SMA connector, the differential amplifier is connected with the A/D conversion, signals enter from the SMA connector, and the signals are converted into differential signals through a differential operational amplifier after being amplified by the one-stage single end and are provided for the A/D conversion controlled by the FPGA for collection.

6. The surface multisource electromagnetic seismic collaborative intelligent advanced geological prediction equipment according to claim 1, which is characterized in that: the tensor sensors include electrical, seismic and electromagnetic sensors.

7. The surface multi-source electromagnetic seismic collaborative intelligent advanced geological prediction equipment as claimed in claim 1, wherein: the A/D conversion adopts a 32-bit high-precision conversion chip.

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