CN117538927A - Node type seismograph based on raspberry group and Arduino technology - Google Patents
Node type seismograph based on raspberry group and Arduino technology Download PDFInfo
- Publication number
- CN117538927A CN117538927A CN202410001968.XA CN202410001968A CN117538927A CN 117538927 A CN117538927 A CN 117538927A CN 202410001968 A CN202410001968 A CN 202410001968A CN 117538927 A CN117538927 A CN 117538927A
- Authority
- CN
- China
- Prior art keywords
- arduino
- digital
- module
- storage module
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 240000007651 Rubus glaucus Species 0.000 title claims abstract description 33
- 235000011034 Rubus glaucus Nutrition 0.000 title claims abstract description 33
- 235000009122 Rubus idaeus Nutrition 0.000 title claims abstract description 33
- 238000005516 engineering process Methods 0.000 title claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 238000009434 installation Methods 0.000 claims description 3
- 230000002401 inhibitory effect Effects 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 5
- 230000006870 function Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 abstract description 5
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 238000013523 data management Methods 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 4
- 230000008569 process Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 10
- 238000003491 array Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/16—Receiving elements for seismic signals; Arrangements or adaptations of receiving elements
- G01V1/18—Receiving elements, e.g. seismometer, geophone or torque detectors, for localised single point measurements
- G01V1/181—Geophones
- G01V1/184—Multi-component geophones
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/22—Transmitting seismic signals to recording or processing apparatus
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/044—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geology (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Geophysics (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a node type seismograph based on raspberry pie and Arduino technologies, and relates to the technical field of seismograph. The node type seismograph based on the raspberry pie and Arduino technology comprises a detector, a PCB circuit board, an Arduino singlechip, a digital-to-analog converter, a processing storage module and an LCD touch screen, wherein the LCD touch screen is electrically connected with the processing storage module. The node type seismograph based on the raspberry pie and Arduino technologies is widely applied to the distributed Internet of things sensor network through the raspberry pie single-board computer and Arduino single-chip microcomputer control technology, has the advantages of low cost, high computing capacity, prosperous open source communities and high development degree in the later period, is developed, has stable signal acquisition, display, real-time wireless transmission and high-efficiency data management functions, reserves interfaces for real-time data processing and monitoring, lays a foundation for realizing large-area engineering application and intelligent monitoring in the follow-up process, and is beneficial to practical application.
Description
Technical Field
The invention relates to the technical field of seismometers, in particular to a node type seismometer based on raspberry pie and Arduino technologies.
Background
In the last decade, revolutionary advances have been made in low cost large scale dense seismic arrays, node arrays, MEMS sensors, distributed optical fibers are typical representatives thereof.
Earth surface microseism and geodynamic measurement are one of geophysical technologies which are gradually developed and prospected in recent years, and are widely applied to activities such as urban underground space detection, security evaluation and dynamic monitoring of geological structures and buildings, real-time monitoring of urban humane activities and the like. Implementation in this process relies on full-time recordings of subsurface shock signals and analysis of their spectral features.
However, the existing short-period node geophones have higher cost, and the cost of a single geophone is generally more than ten thousand yuan, which is not beneficial to large-scale expansion of monitoring activities. Meanwhile, the real-time signal transmission and data management of the main stream node type earthquake instrument are still weaker, and the main stream node type earthquake instrument is greatly dependent on the later data processing of professionals, so that the application efficiency of dynamic monitoring is limited, and the actual application and operation are not facilitated;
the node seismograph is widely applied to activities such as urban underground space detection, geological structure and building safety evaluation, dynamic monitoring and urban humane activity real-time monitoring, and the like, and is self-evident in importance in relation to social development.
Accordingly, one skilled in the art would provide a node seismometer based on raspberry group and Arduino technologies to solve the above-mentioned problems.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a node type seismograph based on raspberry pie and Arduino technologies, which solves the problems of higher cost and limited application efficiency of dynamic monitoring of the prior node type seismograph in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the node type seismograph based on the raspberry pie and Arduino technology comprises a detector, a PCB circuit board, an Arduino singlechip, a digital-to-analog converter, a processing storage module and an LCD touch screen, wherein the LCD touch screen is electrically connected with the processing storage module, and the processing storage module, the PCB circuit board and the digital-to-analog converter are electrically connected with the Arduino singlechip;
the PCB is integrated with a signal amplifying circuit;
a longitudinal sensor, a northeast sensor and an east-west sensor are arranged in the detector;
the longitudinal sensor, the northeast sensor, the east-west sensor and the digital-analog converter are all electrically connected with the signal amplifying circuit on the PCB;
the processing and storing module adopts a raspberry group single board computer;
the outside of the processing storage module is provided with a real-time data processing interface and a real-time data monitoring interface.
According to the technical scheme, the detector is used for detecting the seismic wave signals, the signals are transmitted to the raspberry-set single board computer for data processing and storage after the processing processes of amplification, conversion, filtering and the like, and the seismic condition can be easily monitored in real time through the LCD touch screen, so that the method is beneficial to practical application.
Preferably, the detector is used for receiving reflected sound wave signals in three directions and transmitting the reflected sound wave signals to a signal amplifying circuit on the PCB;
the PCB is used for providing an installation carrier for the signal amplifying circuit;
the Arduino singlechip is used for converting the received signal into a digital signal, transmitting the digital signal to the digital-analog sensor and the processing storage module, and controlling the operation of the whole equipment;
the digital-to-analog converter is used for converting a digital signal transmitted by the Arduino singlechip into an analog current output signal and transmitting the analog current output signal to the signal amplifying circuit again;
the processing and storing module is used for receiving and storing digital signals transmitted by the Arduino singlechip and transmitting the digital signals to the LCD touch screen;
the LCD touch screen is used for receiving the signals transmitted by the processing storage module and displaying the signals through the screen.
Preferably, the node type seismograph further comprises a power supply module, a buzzer, a GPS module and an antenna, wherein the power supply module and the GPS module are electrically connected with the processing storage module, the buzzer is electrically connected with the Arduino single-chip microcomputer, and the GPS module is electrically connected with the antenna.
Through the technical scheme, when the equipment detects the earthquake waves, the buzzer is utilized to realize sound alarm operation, the antenna is utilized to receive satellite signals, and meanwhile, the received satellite signals are transmitted to the GPS module, so that the equipment position information is obtained, and the equipment position information is transmitted to the processing storage module for storage.
Preferably, the power module is used for providing electric energy for the whole equipment;
the buzzer is used for receiving a control instruction transmitted by the Arduino singlechip and sending out corresponding alarm sound;
the GPS module is used for receiving satellite signals, acquiring equipment position information and transmitting the equipment position information to the processing and storage module;
the antenna is used for transmitting the received satellite signals to the GPS module.
Preferably, an INA128 chip and an RC low-pass filter are arranged in the signal amplifying circuit;
the INA128 chip is used for amplifying the vertical signal and the horizontal signal detected by the detector;
the RC low-pass filter is used for preventing high voltage dip of high, medium and low frequency bands and inhibiting noise.
Through the technical scheme, the INA128 chip and the RC low-pass filter are matched, so that the signal amplifying circuit can be formed, and meanwhile, the function of the signal amplifying circuit can be finished better.
Preferably, the power module is a 5V charger.
Through the technical scheme, various common charging devices can supply power for equipment, and the charging device is convenient to carry and long in endurance.
Preferably, the digital-to-analog converter is a 10-bit digital-to-analog converter inside an Arduino UNO.
Through above-mentioned technical scheme to cooperation Arduino singlechip that can be better and processing storage module use.
Preferably, the LCD touch screen is a 7-inch touch screen of raspberry group 4B.
Through above-mentioned technical scheme, adopt the 7 cun touch-sensitive screens of raspberry group 4B for equipment result of use is good, and the price is suitable.
The invention provides a node seismograph based on raspberry pie and Arduino technologies, which has the following beneficial effects:
the node type seismograph based on the raspberry pie and Arduino technology detects seismic wave signals through the detector, and transmits the signals to the raspberry pie single-board computer for data processing and storage after the signals are amplified, converted, filtered and the like, and the earthquake situation can be easily monitored in real time through the LCD touch screen, so that the node type seismograph is beneficial to practical application;
2. the node type seismograph based on the raspberry pie and Arduino technologies is widely applied to a distributed Internet of things sensor network through the raspberry pie single-board computer and Arduino single-chip microcomputer control technology, and the low-cost intelligent node type seismograph is developed by utilizing the advantages of low cost, strong computing power, prosperous open source communities and high development degree in the later period, so that the node type seismograph has the functions of stable acquisition, display, real-time wireless transmission and high-efficiency data management of signals;
3. the node type seismograph based on the raspberry pie and Arduino technology lays a foundation for realizing large-area engineering application and intelligent monitoring by reserving an interface for real-time data processing and monitoring.
Drawings
FIG. 1 is a block diagram of an overall scheme of a node seismograph in accordance with the present invention;
FIG. 2 is a circuit diagram of an overall scheme of a node seismograph in accordance with the present invention;
FIG. 3 is a diagram of a detector according to the present invention;
FIG. 4 is a diagram of a signal amplifying circuit according to the present invention;
FIG. 5 is a PCB board engineering diagram of the present invention;
fig. 6 is a physical diagram of a PCB board according to the present invention;
FIG. 7 is a schematic diagram of an analog-to-digital converter according to the present invention;
FIG. 8 is a physical diagram of a processing memory module according to the present invention;
FIG. 9 is a physical diagram of an LCD touch screen according to the present invention;
fig. 10 is a physical diagram of a power module according to the present invention.
Detailed Description
The invention is further illustrated by the figures and examples.
Referring to fig. 1-10, an embodiment of the invention provides a node seismograph based on raspberry pie and Arduino technology, which comprises a detector, a PCB circuit board, an Arduino singlechip, a digital-to-analog converter, a processing memory module and an LCD touch screen, wherein the LCD touch screen is electrically connected with the processing memory module, and the processing memory module, the PCB circuit board and the digital-to-analog converter are electrically connected with the Arduino singlechip. Ensure the normal transmission of instructions and data.
And a signal amplifying circuit is integrated on the PCB. The PCB can be used for better mounting the signal amplifying circuit.
An INA128 chip and an RC low-pass filter are arranged in the signal amplifying circuit, the INA128 chip is used for amplifying the vertical signal and the horizontal signal detected by the detector, and the RC low-pass filter is used for preventing high voltage dip from occurring in high, medium and low frequency bands and suppressing noise. The INA128 chip and the RC low-pass filter are matched, so that the signal amplifying circuit can be formed, and meanwhile, the function of the signal amplifying circuit can be finished better.
The detector is internally provided with a longitudinal sensor, a northeast direction sensor and an east-west direction sensor. So that the detector can receive reflected acoustic signals in three directions.
The longitudinal sensor, the northeast sensor, the east-west sensor and the digital-analog converter are all electrically connected with the signal amplifying circuit on the PCB. And the collected or received signals are conveniently transmitted to the signal amplifying circuit.
The processing and storage module adopts a raspberry group 4B single board computer which is provided with a 1.5GHz four-core CPU, a 4GB memory and 4 USB interfaces, and a 64G memory card is adopted to ensure long-time data reception. Meanwhile, a Raspbian system which is issued by raspberry group authorities and is customized based on Linux is also operated in the processing and storage module.
The outside of the processing storage module is provided with a real-time data processing interface and a real-time data monitoring interface. Laying a foundation for realizing large-area engineering application and intelligent monitoring.
Referring to fig. 1-10, in an aspect of the present embodiment, the node seismograph further includes a power module, a buzzer, a GPS module and an antenna, where the power module and the GPS module are electrically connected to the processing storage module, the buzzer is electrically connected to the Arduino monolithic computer, and the GPS module is electrically connected to the antenna.
When the equipment detects the earthquake waves, the buzzer is utilized to realize sound alarm operation, the antenna is utilized to receive satellite signals, and meanwhile, the received satellite signals are transmitted to the GPS module, so that the equipment position information is obtained, and the equipment position information is transmitted to the processing storage module for storage.
Referring to fig. 1-10, in one aspect of the present embodiment, the detector is configured to receive reflected acoustic signals in three directions and transmit the reflected acoustic signals to a signal amplifying circuit on a PCB.
According to studies, the sources of microseismic are low amplitude ambient vibrations (from 0.1 to 1 micron) and low frequencies (from 0.5 to 20 hertz), caused by natural or artificial sources. Natural sources include seismic events such as earthquakes and tsunamis; geological events, such as geothermal activity and landslides, and atmospheric events, such as wind and ocean waves. Artificial and cultural vibrations include all activities by man, such as transportation, industry and nuclear activities. It is generally considered that vibrations having a frequency higher than 1 hz are caused by short-period vibrations of artificial origin, and vibrations having a frequency of 1 hz and below are caused by natural origin.
In general, a broadband seismometer capable of measuring ground movement with a wide frequency of 500 to 0.001 Hz is the first choice for recording microseisms, so that the seismometer adopts a high-sensitivity LGT-10/H/V seismometer (10 Hz) and is a transverse seismometer with high performance, high fidelity and high stability, and is widely applied to petroleum exploration, natural gas exploration and coal exploration. The method is widely applied to more and more new fields such as mechanical vibration monitoring, bridge vibration monitoring, boundary security, natural earthquake monitoring and the like in recent decades, and has the advantages of excellent performance and proper price.
The PCB is used for providing an installation carrier for the signal amplifying circuit;
the Arduino singlechip is used for converting the received signal into a digital signal, transmitting the digital signal to the digital-analog sensor and the processing storage module, and controlling the operation of the whole equipment;
the digital-to-analog converter is used for converting the digital signal transmitted by the Arduino singlechip into an analog current output signal and transmitting the analog current output signal to the signal amplifying circuit again. The digital-to-analog converter is a 10-bit digital-to-analog converter in an Arduino UNO. Therefore, the Arduino singlechip and the processing and storage module can be better matched for use.
The processing and storing module is used for receiving and storing digital signals transmitted by the Arduino singlechip and transmitting the digital signals to the LCD touch screen;
the LCD touch screen is used for receiving the signals transmitted by the processing storage module and displaying the signals through the screen. The LCD touch screen is a 7-inch touch screen of raspberry group 4B, and has good use effect and proper price.
Referring to fig. 1-10, in one aspect of the present embodiment, the power module is configured to provide power to the device as a whole, and the power module is a 5V charger. Various common charging devices can supply power to the equipment, and the charging device is convenient to carry and long in endurance.
The buzzer is used for receiving a control instruction transmitted by the Arduino singlechip and sending out corresponding alarm sound;
the GPS module is used for receiving satellite signals, acquiring equipment position information and transmitting the equipment position information to the processing and storage module;
the antenna is used for transmitting the received satellite signals to the GPS module.
Working principle:
when the device is used, firstly, the device is assembled as shown in fig. 1, the internal circuit principle is as shown in fig. 2, and the whole device is powered by the power module;
then when an earthquake occurs, the reflected sound wave signals in three directions are received through a longitudinal sensor, a northeast direction sensor and an east-west direction sensor in the detector, and then the received signals are transmitted to a signal amplifying circuit;
the vertical signal and the horizontal signal detected by the detector are amplified through an INA128 chip in the signal amplifying circuit, and meanwhile, larger voltage dip of high, medium and low frequency bands is prevented through an RC low-pass filter in the signal amplifying circuit, noise is restrained, and therefore the signal amplifying effect is guaranteed;
the amplified signals are transmitted to an Arduino singlechip, the Arduino singlechip controls a buzzer to start alarming, the Arduino singlechip transmits the signals to the inside of a processing and storage module to store data, the processing and storage module displays the received data through an LCD touch screen, so that operators can observe seismic information intuitively, meanwhile, the processing and storage module transmits instructions to a GPS module, the GPS module receives satellite signals through an antenna and transmits the received satellite signals to the GPS module, and therefore equipment position information is acquired and transmitted to the processing and storage module to be stored;
meanwhile, the Arduino singlechip also transmits the received signal to the digital-to-analog converter, and the digital-to-analog converter converts the digital signal transmitted by the Arduino singlechip into an analog current output signal and transmits the analog current output signal to the signal amplifying circuit again.
Based on the wide application of the raspberry-pie single-board computer and Arduino single-chip microcomputer control technology in the distributed Internet of things sensor network, the low-cost intelligent node type seismograph is developed by utilizing the advantages of low cost, strong computing capacity, prosperous open source communities and high development degree in the later period, and has the functions of stable acquisition, display, real-time wireless transmission and high-efficiency data management of signals.
In addition, a real-time data processing interface and a real-time data monitoring interface are arranged on the outer side of the processing storage module, so that a foundation is laid for realizing large-area engineering application and intelligent monitoring subsequently.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The node type seismograph based on the raspberry pie and Arduino technology comprises a detector, a PCB circuit board, an Arduino singlechip, a digital-to-analog converter, a processing storage module and an LCD touch screen, and is characterized in that the LCD touch screen is electrically connected with the processing storage module, and the processing storage module, the PCB circuit board and the digital-to-analog converter are electrically connected with the Arduino singlechip;
the PCB is integrated with a signal amplifying circuit;
a longitudinal sensor, a northeast sensor and an east-west sensor are arranged in the detector;
the longitudinal sensor, the northeast sensor, the east-west sensor and the digital-analog converter are all electrically connected with the signal amplifying circuit on the PCB;
the processing and storing module adopts a raspberry group single board computer;
the outside of the processing storage module is provided with a real-time data processing interface and a real-time data monitoring interface.
2. The node seismograph based on raspberry group and Arduino technology as set forth in claim 1, wherein: the detector is used for receiving reflected sound wave signals in three directions and transmitting the reflected sound wave signals to the signal amplifying circuit on the PCB;
the PCB is used for providing an installation carrier for the signal amplifying circuit;
the Arduino singlechip is used for converting the received signal into a digital signal, transmitting the digital signal to the digital-analog sensor and the processing storage module, and controlling the operation of the whole equipment;
the digital-to-analog converter is used for converting a digital signal transmitted by the Arduino singlechip into an analog current output signal and transmitting the analog current output signal to the signal amplifying circuit again;
the processing and storing module is used for receiving and storing digital signals transmitted by the Arduino singlechip and transmitting the digital signals to the LCD touch screen;
the LCD touch screen is used for receiving the signals transmitted by the processing storage module and displaying the signals through the screen.
3. The node seismograph based on raspberry group and Arduino technology as set forth in claim 1, wherein: the node type seismograph also comprises a power supply module, a buzzer, a GPS module and an antenna, wherein the power supply module and the GPS module are electrically connected with the processing storage module, the buzzer is electrically connected with the Arduino singlechip, and the GPS module is electrically connected with the antenna.
4. A node seismograph based on raspberry group and Arduino technology according to claim 3 characterized in that: the power module is used for providing electric energy for the whole equipment;
the buzzer is used for receiving a control instruction transmitted by the Arduino singlechip and sending out corresponding alarm sound;
the GPS module is used for receiving satellite signals, acquiring equipment position information and transmitting the equipment position information to the processing and storage module;
the antenna is used for transmitting the received satellite signals to the GPS module.
5. The node seismograph based on raspberry group and Arduino technology as set forth in claim 1, wherein: an INA128 chip and an RC low-pass filter are arranged in the signal amplifying circuit;
the INA128 chip is used for amplifying the vertical signal and the horizontal signal detected by the detector;
the RC low-pass filter is used for preventing high voltage dip of high, medium and low frequency bands and inhibiting noise.
6. A node seismograph based on raspberry group and Arduino technology according to claim 3 characterized in that: the power module is a 5V charger.
7. The node seismograph based on raspberry group and Arduino technology as set forth in claim 1, wherein: the digital-to-analog converter is a 10-bit digital-to-analog converter in an Arduino UNO.
8. The node seismograph based on raspberry group and Arduino technology as set forth in claim 1, wherein: the LCD touch screen is a 7-inch touch screen of raspberry group 4B.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410001968.XA CN117538927A (en) | 2024-01-02 | 2024-01-02 | Node type seismograph based on raspberry group and Arduino technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410001968.XA CN117538927A (en) | 2024-01-02 | 2024-01-02 | Node type seismograph based on raspberry group and Arduino technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117538927A true CN117538927A (en) | 2024-02-09 |
Family
ID=89796170
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410001968.XA Pending CN117538927A (en) | 2024-01-02 | 2024-01-02 | Node type seismograph based on raspberry group and Arduino technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117538927A (en) |
-
2024
- 2024-01-02 CN CN202410001968.XA patent/CN117538927A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
RU2431868C1 (en) | Method for seismic exploration when searching for hydrocarbons and seismic system for realising said method | |
Chebrov et al. | The system of detailed seismological observations in Kamchatka in 2011 | |
Dybing et al. | Characteristics and spatial variability of wind noise on near‐surface broadband seismometers | |
Owens et al. | PASSCAL instrument performance during the Tibetan Plateau passive seismic experiment | |
MXPA04010511A (en) | Methods and systems for acquiring seismic data. | |
CN1948998A (en) | Multifunctional earthquake detecting and fore casting apparatus | |
CN102073061B (en) | Ground microphone information high-density recording system using digital ground microphone | |
Kostylev et al. | About seismic observations on Sakhalin with the use of molecular-electronic seismic sensors of new type | |
US20140307523A1 (en) | Buried array wireless exploration seismic system | |
Santos et al. | Understanding the fundamentals of earthquake signal sensing networks | |
Murayama et al. | Infrasound array observations in the Lützow-Holm Bay region, East Antarctica | |
Ajo‐Franklin et al. | The imperial valley dark fiber project: toward seismic studies using DAS and telecom infrastructure for geothermal applications | |
Karakelian et al. | A transportable system for monitoring ultralow frequency electromagnetic signals associated with earthquakes | |
Zeng et al. | Field trial of distributed acoustic sensing in an active room‐and‐pillar mine | |
Goldswain et al. | Advances in seismic monitoring technologies | |
CN104020488A (en) | Wireless-distributed-type elastic wave reflector detection device, system and method | |
CN219512419U (en) | Multi-node passive source seismic prospecting device | |
CN117538927A (en) | Node type seismograph based on raspberry group and Arduino technology | |
RU2545159C1 (en) | Anchored profiling underwater observatory | |
du Toit et al. | Can DAS be used to monitor mining induced seismicity? | |
JPH10319128A (en) | Passive-type underground structure probing device | |
Galʹperin et al. | Borehole seismology and the study of the seismic regime of large industrial Centres | |
RU2468395C1 (en) | Underwater observatory | |
CA2967629A1 (en) | Super broadband integrated subsurface seismic, seismicity, ground vibration, topographic data collection, processing, visualization and analysis system | |
D’alessandro et al. | Real-Time Networks for earthquake observation and structural health monitoring in Sicily |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |