The seismic network testing for continuous monitoring and analysis of the seismic situation has begun at the SKIF (Resource Sharing Centre “Siberian Circular Photon Source”) site. Seismometers will continuously transmit data to the system, which, using the developed software algorithms, will be able to analyze ambient seismic vibrations and microseismic noise, and thus notify users of seismic disturbances: the trained neural network will recognize the source of noise, making a record of the exact time of its occurrence and coordinates in the catalog.
The SKIF synchrotron radiation (SR) source is distinguished from all the world analogs by its record low emittance (i.e. the source phase volume), which directly affects its main parameter, the radiation brightness. The electron beam particles are so concentrated that even the slightest seismic vibrations will noticeably affect its size and stability, and, consequently, the radiation brightness. The quality of future experiments at the research stations hinges on mechanical stability of magnetic elements of a modern SR source (even small displacements of magnets relative to the design position can significantly degrade the installation parameters).
Seismic surveys conducted by geophysicists in the SKIF area showed that there is a great variety of microvibration sources which may affect the SR source work. These may include seismic events like earthquakes, microseism (natural and human-induced), seismic background of production facilities (e.g, mining), major transportation routes (railways, tramways, highways) in the immediate vicinity of the SR source (within a radius of several kilometers). Seismic noise is also produced by the engineering infrastructure—transformers, pumps, lifting gear, etc. Finally, microvibration sources may occur directly on the magnets—for example, this may be a turbulent liquid flow in cooling tubes of current windings that excite the magnetic field.
If vibration noise exceeds the permissible level, the monitoring system is designed to alert users, and the feedback system will promptly adjust the position of the electron beam, to eliminate the negative impact of seismic effects on the SR source efficiency.
“All data on noise levels and their sources will be inserted into seismic event catalog with precise timing. This is fundamentally important for users, i.e. researchers who conduct experiments at the stations. After all, even if the feedback system does not promptly eliminate the negative effect of seismic noise, researchers will be able to compare their experimental data with the catalog entries, which will allow them to reject the noise-affected data” says Grigory Baranov, Ph.D (phys.-math.), senior researcher at the Institute of Nuclear Physics of the Siberian Branch of the Russian Academy of Sciences, Head of the SKIF Accelerating Systems.
Scientists from the Trofimuk Institute of Petroleum Geology and Geophysics (IPGG SB RAS) have developed and manufactured (with their industry partner) first seismic sensors that will be adapted to the accelerating complex and the developed software. Employees of the NSU’s Advanced Engineering School (AES) "Cognitive Engineering" have developed monitoring algorithms and a neural network for data analysis, and work is now continued to create a graphical interface.
Grigory Baranov and Pyotr Dergach
“The principle of operation of the software complex consists in mapping the noise-source distribution of microseisms (once in a certain time interval). Each next map is automatically compared with the previous one. If the noise distribution pattern changes, the source of this signal will be identified. At the initial stage, possible noise sources will be manually “shown” to the neural network, and subsequently AI will independently put the data in the catalog of events based on absolute timers,” said Pyotr Dergach, senior researcher at AES ‘Cognitive Engineering’, research scientists at IPGG SB RAS.
A network of seismic recorders and seismometers will be installed in the buildings of the accelerating complex. Scientists currently aim to ensure accurate time synchronization of all sensors, which is generally provided by a GPS signal. However, communication with the satellite is impossible in the building with injection and storage equipment, due to GPS signal loss. The researchers plan to connect the sensors to the clock generator ensuring operations of all equipment of the accelerating complex. The advantage of this approach is the ultimate accuracy of synchronization, which exceeds the accuracy of a GPS signal by a factor of several times.
Photo by Anna Plis
Source of information: https://srf-skif.ru/index.php/Геофизики_начали_тестировать_систему_мониторинга_вибраций_на_площадке_СКИФ