The Experts below are selected from a list of 3684 Experts worldwide ranked by ideXlab platform
Feng Guo - One of the best experts on this subject based on the ideXlab platform.
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hybrid seismic electrical data acquisition station based on cloud technology and green iot
IEEE Access, 2020Co-Authors: Shuaiqing Qiao, Qisheng Zhang, Qimao Zhang, Feng GuoAbstract:Traditional Geophysical Prospecting instruments cannot fulfill the requirements of deep energy Prospecting. The instruments that measure single physical quantities, such as seismic and electrical instruments, have certain limitations. Moreover, the time period required for traditional instruments to collect, acquire, and process data is too long. To address these issues, a hybrid seismic-electrical data acquisition system based on cloud technology and green IoT was proposed and developed. A seismic analog acquisition circuit and an electrical analog acquisition circuit were designed, and the control module was designed and debugged. The system is equipped with a wireless module connected to a wireless-to-4G/5G module, which uploads the data collected by the hybrid seismic-electrical data acquisition station to the cloud platform. The background master control center completes the rapid processing of Geophysical data using the robust storage and computing capabilities of the cloud. Meanwhile, it sends control commands to the cloud to control the acquisition system. This system has completed simultaneous Prospecting of multiple physical quantities and achieved rapid monitoring through cloud technology. Finally, the system was used to perform fracture monitoring and a comparison of two mines in Daqing City, Heilongjiang Province. The monitoring results were satisfactory. Thus, the presented system can play a role in seismic-electrical Prospecting, and can be applied to actual engineering endeavors quickly and reliably.
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development of a distributed hybrid seismic electrical data acquisition system based on the narrowband internet of things nb iot technology
Geoscientific Instrumentation Methods and Data Systems, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The ambiguity of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method Geophysical Prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µ V with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10 −9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
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development of a distributed hybrid seismic electrical data acquisition system based on nb iot technology
Geoscientific Instrumentation Methods and Data Systems Discussions, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The non-uniqueness of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic-electric data acquisition that form the base for multi-method Geophysical Prospecting techniques, have not yet been explored in detail. In this work, we developed a distributed, high-precision, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and advanced RISC machine, and host software. The data acquisition board used an ADS1278 24-bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples-per-second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz @ 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic-electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
Shuaiqing Qiao - One of the best experts on this subject based on the ideXlab platform.
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hybrid seismic electrical data acquisition station based on cloud technology and green iot
IEEE Access, 2020Co-Authors: Shuaiqing Qiao, Qisheng Zhang, Qimao Zhang, Feng GuoAbstract:Traditional Geophysical Prospecting instruments cannot fulfill the requirements of deep energy Prospecting. The instruments that measure single physical quantities, such as seismic and electrical instruments, have certain limitations. Moreover, the time period required for traditional instruments to collect, acquire, and process data is too long. To address these issues, a hybrid seismic-electrical data acquisition system based on cloud technology and green IoT was proposed and developed. A seismic analog acquisition circuit and an electrical analog acquisition circuit were designed, and the control module was designed and debugged. The system is equipped with a wireless module connected to a wireless-to-4G/5G module, which uploads the data collected by the hybrid seismic-electrical data acquisition station to the cloud platform. The background master control center completes the rapid processing of Geophysical data using the robust storage and computing capabilities of the cloud. Meanwhile, it sends control commands to the cloud to control the acquisition system. This system has completed simultaneous Prospecting of multiple physical quantities and achieved rapid monitoring through cloud technology. Finally, the system was used to perform fracture monitoring and a comparison of two mines in Daqing City, Heilongjiang Province. The monitoring results were satisfactory. Thus, the presented system can play a role in seismic-electrical Prospecting, and can be applied to actual engineering endeavors quickly and reliably.
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development of a distributed hybrid seismic electrical data acquisition system based on the narrowband internet of things nb iot technology
Geoscientific Instrumentation Methods and Data Systems, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The ambiguity of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method Geophysical Prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µ V with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10 −9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
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development of a distributed hybrid seismic electrical data acquisition system based on nb iot technology
Geoscientific Instrumentation Methods and Data Systems Discussions, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The non-uniqueness of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic-electric data acquisition that form the base for multi-method Geophysical Prospecting techniques, have not yet been explored in detail. In this work, we developed a distributed, high-precision, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and advanced RISC machine, and host software. The data acquisition board used an ADS1278 24-bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples-per-second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz @ 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic-electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
Qisheng Zhang - One of the best experts on this subject based on the ideXlab platform.
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hybrid seismic electrical data acquisition station based on cloud technology and green iot
IEEE Access, 2020Co-Authors: Shuaiqing Qiao, Qisheng Zhang, Qimao Zhang, Feng GuoAbstract:Traditional Geophysical Prospecting instruments cannot fulfill the requirements of deep energy Prospecting. The instruments that measure single physical quantities, such as seismic and electrical instruments, have certain limitations. Moreover, the time period required for traditional instruments to collect, acquire, and process data is too long. To address these issues, a hybrid seismic-electrical data acquisition system based on cloud technology and green IoT was proposed and developed. A seismic analog acquisition circuit and an electrical analog acquisition circuit were designed, and the control module was designed and debugged. The system is equipped with a wireless module connected to a wireless-to-4G/5G module, which uploads the data collected by the hybrid seismic-electrical data acquisition station to the cloud platform. The background master control center completes the rapid processing of Geophysical data using the robust storage and computing capabilities of the cloud. Meanwhile, it sends control commands to the cloud to control the acquisition system. This system has completed simultaneous Prospecting of multiple physical quantities and achieved rapid monitoring through cloud technology. Finally, the system was used to perform fracture monitoring and a comparison of two mines in Daqing City, Heilongjiang Province. The monitoring results were satisfactory. Thus, the presented system can play a role in seismic-electrical Prospecting, and can be applied to actual engineering endeavors quickly and reliably.
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development of a distributed hybrid seismic electrical data acquisition system based on the narrowband internet of things nb iot technology
Geoscientific Instrumentation Methods and Data Systems, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The ambiguity of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method Geophysical Prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µ V with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10 −9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
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development of a distributed hybrid seismic electrical data acquisition system based on nb iot technology
Geoscientific Instrumentation Methods and Data Systems Discussions, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The non-uniqueness of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic-electric data acquisition that form the base for multi-method Geophysical Prospecting techniques, have not yet been explored in detail. In this work, we developed a distributed, high-precision, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and advanced RISC machine, and host software. The data acquisition board used an ADS1278 24-bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples-per-second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz @ 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic-electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
Noguera Guillén Jaume - One of the best experts on this subject based on the ideXlab platform.
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La ciudad ibérica de Masies de Sant Miquel (Banyeres del Penedès, Tarragona) entre los siglos VII-III a. C. Resultados de una investigación con métodos no invasivos
'Editorial CSIC', 2021Co-Authors: Noguera Guillén Jaume, Sanmartí, Joan I Grego), Belarte Franco, Maria Carme, Sala Roger, Morer De Llorens, Jordi, Asensio David, Ble Gimeno Eduard, Jornet Niella Rafel, Revilla Calvo Víctor, Pou JosepAbstract:[spa] Se presentan los resultados históricos derivados de la primera fase de la investigación sobre este importante yacimiento, realizada exclusivamente a partir de métodos no invasivos. Los datos recuperados a partir de la prospección pedestre y geofísica han permitido verificar la condición urbana del asentamiento, atestiguada tanto por sus dimensiones como por su complejidad estructural y la naturaleza de los materiales muebles recuperados, que sugieren actividades económicas especializadas y la coexistencia de distintos sectores sociales. La desaparición del asentamiento en torno a 200 a. C. confirma el profundo impacto de la conquista romana en los patrones de poblamiento del mundo ibérico septentrional.[eng] We present the historical results derived from the first phase of research on this important site, conducted exclusively with non-invasive methods. The data recovered from pedestrian and Geophysical Prospecting have allowed us to verify the urban condition of the settlement, attested not only by its size, but also by its structural complexity and the nature of the pottery collected, which suggest specialized economic activities and the coexistence of different social sectors. The abandonment of the settlement around 200 BCE confirms the profound impact of the Roman conquest on the settlement patterns of the northern Iberian world
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La ciudad ibérica de Masies de Sant Miquel (Banyeres del Penedès, Tarragona) entre los siglos VII-III a. C. Resultados de una investigación con métodos no invasivos
Consejo Superior de Investigaciones Científicas, 2020Co-Authors: Noguera Guillén Jaume, Sanmartí, Joan I Grego), Belarte Franco, Maria Carme, Sala Roger, Morer De Llorens, Jordi, Asensio David, Ble Gimeno Eduard, Jornet Niella Rafel, Revilla Calvo Víctor, Pou Vallès JosepAbstract:Se presentan los resultados históricos derivados de la primera fase de la investigación sobre este importante yacimiento, realizada exclusivamente a partir de métodos no invasivos. Los datos recuperados a partir de la prospección pedestre y geofísica han permitido verificar la condición urbana del asentamiento, atestiguada tanto por sus dimensiones como por su complejidad estructural y la naturaleza de los materiales muebles recuperados, que sugieren actividades económicas especializadas y la coexistencia de distintos sectores sociales. La desaparición del asentamiento en torno a 200 a. C. confirma el profundo impacto de la conquista romana en los patrones de poblamiento del mundo ibérico septentrional.We present the historical results derived from the first phase of research on this important site, conducted exclusively with non-invasive methods. The data recovered from pedestrian and Geophysical Prospecting have allowed us to verify the urban condition of the settlement, attested not only by its size, but also by its structural complexity and the nature of the pottery collected, which suggest specialized economic activities and the coexistence of different social sectors. The abandonment of the settlement around 200 BCE confirms the profound impact of the Roman conquest on the settlement patterns of the northern Iberian world
Qimao Zhang - One of the best experts on this subject based on the ideXlab platform.
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hybrid seismic electrical data acquisition station based on cloud technology and green iot
IEEE Access, 2020Co-Authors: Shuaiqing Qiao, Qisheng Zhang, Qimao Zhang, Feng GuoAbstract:Traditional Geophysical Prospecting instruments cannot fulfill the requirements of deep energy Prospecting. The instruments that measure single physical quantities, such as seismic and electrical instruments, have certain limitations. Moreover, the time period required for traditional instruments to collect, acquire, and process data is too long. To address these issues, a hybrid seismic-electrical data acquisition system based on cloud technology and green IoT was proposed and developed. A seismic analog acquisition circuit and an electrical analog acquisition circuit were designed, and the control module was designed and debugged. The system is equipped with a wireless module connected to a wireless-to-4G/5G module, which uploads the data collected by the hybrid seismic-electrical data acquisition station to the cloud platform. The background master control center completes the rapid processing of Geophysical data using the robust storage and computing capabilities of the cloud. Meanwhile, it sends control commands to the cloud to control the acquisition system. This system has completed simultaneous Prospecting of multiple physical quantities and achieved rapid monitoring through cloud technology. Finally, the system was used to perform fracture monitoring and a comparison of two mines in Daqing City, Heilongjiang Province. The monitoring results were satisfactory. Thus, the presented system can play a role in seismic-electrical Prospecting, and can be applied to actual engineering endeavors quickly and reliably.
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development of a distributed hybrid seismic electrical data acquisition system based on the narrowband internet of things nb iot technology
Geoscientific Instrumentation Methods and Data Systems, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The ambiguity of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method Geophysical Prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µ V with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10 −9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.
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development of a distributed hybrid seismic electrical data acquisition system based on nb iot technology
Geoscientific Instrumentation Methods and Data Systems Discussions, 2019Co-Authors: Qisheng Zhang, Feng Guo, Shuaiqing Qiao, Qimao Zhang, Shiyang Liu, Yueyun Luo, Yuefeng Niu, Xing HengAbstract:Abstract. The non-uniqueness of Geophysical inversions, which is based on a single Geophysical method, is a long-standing problem in Geophysical exploration. Therefore, multi-method Geophysical Prospecting has become a popular topic. In multi-method Geophysical Prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic-electric data acquisition that form the base for multi-method Geophysical Prospecting techniques, have not yet been explored in detail. In this work, we developed a distributed, high-precision, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and advanced RISC machine, and host software. The data acquisition board used an ADS1278 24-bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples-per-second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz @ 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic-electrical technologies and promote the use of IoT technologies in Geophysical instrumentation.