Hybrid Seismic-Electrical Data Acquisition Station Based on Cloud Technology and Green IoT

Autor: Qimao Zhang, Wenhao Li, Qisheng Zhang, Feng Guo, Shuaiqing Qiao
Rok vydání: 2020
Předmět:
Zdroj: IEEE Access, Vol 8, Pp 31026-31033 (2020)
ISSN: 2169-3536
Popis: 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.
Databáze: OpenAIRE