Earthquake early warning system

Abstract

The invention relates to an earthquake early warning system that provides an earthquake warnings to individuals, companies and public institutions through mobile applications or loT devices by instantly capturing the P wave of the earthquake by means of supplementary hardware, software and earthquake early detection stations equipped with velocity and accelerometers as well as a system that analyzes the said data. The relevant system consists of two modules: single and multi-array. Advantages achieved through this invention include low-cost network configuration, a linear seismic network with versatile detection capabilities, the use of artificial intelligence technology that eliminates false alarms, rapid system installation and deployment, and P-wave detection reduced to less than 1 second.

Description

[0001] EARTHQUAKE EARLY WARNING SYSTEM

[0002] Technical Field

[0003] The invention relates to an earthquake early warning system that provides an earthquake warnings to individuals, companies and public institutions through mobile applications or loT devices by instantly capturing the P wave of the earthquake by means of supplementary hardware, software and earthquake early detection stations equipped with velocity and accelerometers and a system that analyzes the said data.

[0004] Prior Art

[0005] Today, earthquake warning systems or earthquake early warning systems are organized as a system of accelerometers, seismographs, communication means, applications, computers and alarms designed to notify neighboring regions of a significant earthquake while the earthquake is ongoing. The release of elastic strain energy stored during rapid slip along a fault causes an earthquake. The slip starts at one point and propagates away from the hypocenter in all directions along the fault surface. The speed of propagation of this fault rupture is slower than and different from the speed of the resulting pressure and shear waves, with the pressure wave traveling faster than the shear wave. Pressure waves produce sudden shock. Shear waves produce periodic motion (at about 1 Hz) that is the most destructive for structures, especially buildings with a similar resonance period. Typically, these buildings are approximately eight storeys high. These waves can be most powerful at the ends of the slip and reflect destructive waves far beyond the fault displacement. The intensity of such distant effects depends largely on local soil conditions in the area and is taken into account when creating a regional model that determines appropriate responses to specific events. When P-waves are detected in earthquake early warning systems, the readings are analyzed immediately and, if necessary, warning details are transmitted to advanced users and mobile phones, radio, television, sirens and public announcement systems / fire alarm systems before the S-waves arrive. In systems known in the prior art, there is a system which detects and analyses the obtained P-wave in a minimum of 6 seconds and can determine the epicenter in an average time of 40 seconds. As these times are insufficient, the destructive S wave will have reached settlements by the time it is reported. Due to the very short time frame in which they occur, systems providing warnings within these periods are insufficient for any precautions to be taken. In all other known applications, when an earthquake reaches an individual’s location, a warning is issued via the mobile phone's motion sensor. Furthermore, attempts have been made to establish an earthquake early warning system using accelerometers and similar seismic recording devices. However, as the configuration and interoperability of these devices is not feasible, and a sufficient number of sensors and the computing capacity to process them have yet to be designed, the current system is inadequate for issuing warnings.

[0006] A document of the prior art CN 103064104 A. describes a high-rise building earthquake monitoring and early warning system and method thereof. The system consists of a group of detection and recording elements, an industrial control computer, and an alarm unit. Here, the detection and recording element group, industrial control computer, and alarm unit are connected in sequence. System analysis and control software is embedded in the industrial control computer. The method includes the steps of collecting and storing shock signals through a three-axis acceleration sensor and a data acquisition and recording element, sending the collected data to the industrial control computer through a network, analyzing the data through the computer, sending an alarm signal when the impact caused by an earthquake on a high-rise building is analyzed, and upon reaching an alarm value, estimating the degree of damage to the high-rise building. The high-rise building earthquake monitoring and early warning system and the method of high-rise building earthquake monitoring and early warning system can not only collect shock signals, but also set the alarm value according to an earthquake damage defense rule. It not only issues an alarm for earthquakes, but also simultaneously issues a floor alarm for high-rise building shocks caused by natural disasters such as storms.

[0007] The document numbered CN113053064A, seen in prior art, describes the evaluation method and evaluation system for the regional earthquake early warning system. The method includes the following steps: obtaining an evaluation time point; obtaining the processing result of at least one earthquake early warning event at the evaluation time point for the system to be evaluated; obtaining the weighting coefficient of the processing result of the system to be evaluated on at least one earthquake early warning event at each evaluation time point based on the processing result of the system to be assessed on at least one earthquake early warning event at each evaluation time point; obtaining an early warning positioning assessment value, an early warning magnitude assessment value and an early warning intensity assessment value for the processing result of at least one earthquake early warning event of the system to be evaluated. Obtaining the comprehensive evaluation value of the system to be evaluated according to the weight coefficient, early warning positioning evaluation value, early warning magnitude evaluation value and early warning intensity evaluation value of the system to be evaluated regarding the processing result of at least one earthquake early warning event and evaluating the system to be evaluated according to the comprehensive evaluation value.

[0008] Document CN208367885U, which appears in the known prior art, describes an early warning terminal and seismic warning system. Furthermore, the display apparatus includes: a display screen; a controller connected to the display screen. Furthermore, the display apparatus includes: an alarm apparatus for outputting warning information; a controller connected to the alarm device for outputting warning information. In addition, the alarm device includes at least one of the following: audible alarm, light alarm and audible and visual alarm. In addition, the imaging device includes: a sound broadcaster to broadcast earthquake early warning information; and a controller to control the sound broadcaster to broadcast early warning information. Further, the first communication module comprises at least one of the following: a GPRS communication module, a 3G communication module, a 4G communication module, a WIFI communication module and a Bluetooth communication module. In addition, the system includes: an Internet of Things (loT) platform connected to an early warning terminal, configured to acquire earthquake early warning information and send the earthquake early warning information to the early warning terminal. Furthermore, the Internet of Things platform includes: a second communication module connected to the first communication module in the early warning terminal, configured to send earthquake early warning information to the early warning terminal. Also, the second communication module: includes a GPRS communication module, a 3G communication module, a 4G communication module, a WIFI communication module and a Bluetooth communication module. The related document provides an early warning terminal. The early warning terminal connects to the Internet of Things (loT) platform and includes: A first communication module configured to receive earthquake early warning information sent by an Internet of Things platform (loT); display apparatus. The first communication module is connected to display the earthquake early warning information to the target object, wherein the earthquake early warning information comprises at least one of the following: the time of occurrence of an earthquake, the place of occurrence of an earthquake and a magnitude value.

[0009] The prior art document KR20180057817A describes an earthquake early warning system that can prevent fault detection and false alarm of a system based on an earthquake. According to an embodiment of the present document, the earthquake early warning system contains the following: an earthquake motion measurement unit for sensing earthquake acceleration data according to earthquake motion of a disaster area; a GPS displacement measurement unit for measuring GPS displacement of the disaster area; and an earthquake warning server for determining whether to generate an earthquake warning signal by analyzing the earthquake motion measurement information sensed by the earthquake motion measurement unit and the GPS displacement measurement information measured from the GPS displacement measurement unit.

[0010] An earthquake early warning system is described in document CN107492233A, which appears in the prior art. A monitoring induction portion is provided in a ground well; a box body is buried in the bottom of the ground well; a hanging body suspended in a magnetic force balance state is arranged in the box body; the hanging body is connected to a ground sound wave alarm device via a support rope of the connecting portion; when pre-earthquake macroscopic phenomena such as groundwater abnormality, magnetic field changes, and wellbore deformations occur, the hanging body loses its balance and falls, thereby causing the support rope to be pulled downward; the support rope drives a connecting rod to press upward on a pressure plate, so that a spring machine bell is triggered, and the pre-earthquake timely early warning service function is effectively realized.

[0011] Document CN212342026U, which appears in the prior art, describes an earthquake early warning system based on edge computing technology. The system is characterized in that the system includes an earthquake early warning unit, an edge computing unit and a remote server, the earthquake early warning unit is connected to the edge computing unit, and the edge computing unit is connected to the remote server. According to the earthquake early warning system, the local vibration level is calculated and generated according to the surrounding environment information and perception data of image, vibration, environment, video image and the like, which is effectively recognized, the earthquake early warning information is sent in cooperation with the earthquake early warning unit, and the compatibility and extensibility of an existing earthquake early warning system are improved.

[0012] The prior art document CN112415570A describes an earthquake electrostatic early warning system. The system consists of multiple sensing devices, a sensing data processing module and an earthquake early warning module. Here a sensing device is organized in a monitoring station, and multiple monitoring stations are distributed in a planar matrix of points along the earth surface of an earthquake fault line. Multiple sensing devices operate synchronously; the sensing device is used to collect ground electrostatic field data and local weather information for the monitoring station where the sensing device is located. The sensing data processing module is used to process the ground electrostatic field data of the monitoring station using weather information, eliminate the influence of weather and solar storm on the ground electrostatic field, extract electrostatic field data with negative numerical value related to earthquake anomaly, and send it to the earthquake early warning module. The earthquake early warning module is used to receive the electrostatic field data with negative numerical value sent by all monitoring stations, evaluate whether there is an earthquake and issue an early warning, and transmit the epicenter location of the earthquake to the relevant departments in real time. The system provided by the invention has the function of quickly evaluating the earthquake in real time and has a high accuracy rate.

[0013] Document KR101333002B1, which appears in the prior art, describes an earthquake early warning system and method for railway. This earthquake early warning system assesses whether the seismic wave (S wave) expected to arrive before it reaches the railroad track is dangerous and slows down or stops a running train before the seismic wave arrives. Seismic intensity, earthquake hazard zones, and other factors are assessed as quickly as possible. The earthquake early warning system for railways includes the following: at least one seismograph that records the amplitude and frequency of a seismic wave propagating through the Earth's interior or along its surface during an earthquake; a seismic data acquisition unit to receive the seismic wave from the seismograph; a seismic data analysis unit for evaluating the magnitude of the earthquake that has occurred, the amplitude of the expected seismic wave, the probability of danger, and hazardous track (rail) displacement data by analyzing the P-wave among other seismic waves according to the earthquake automatic detection algorithm before the S-wave arrives.

[0014] The document numbered CN103033844A, which is available in the prior art, describes a singlestation earthquake P-wave detection warning device. The single-station earthquake P-wave detection warning device consists of a data collection module, a data analysis and recording module, and a communication and alarm module. In this case, the data acquisition module, data analysis and recording module, and communication and alarm module are connected in sequence. The data acquisition module consists of a three-axis force balance accelerometer and an external connection accelerometer interface. The data analysis and recording module consists of an analog-to-digital (AD) converter, a digital signal processor (DSP), an advanced RISC machine (ARM) and its system, a global positioning system (GPS) module, a P-wave early warning algorithm, a real-time clock, and secure digital (SD) card storage. The communication and alarm module consists of a computer, an alarm unit, and an application software for a P-wave early warning device. The single-station earthquake P-wave detection warning device has collection, storage, analysis, and alarm functions. Earthquake monitoring and earthquake P-wave early warning are achieved using only a single device. The singlestation P-wave seismic detection warning device offers several advantages, including its compact size, lightweight design, portability, ease of installation, low cost, and suitability for a national earthquake early warning scientific research project as part of an earthquake early warning network and for a major project.

[0015] The prior art describes the synchronous magnitude estimation method and device for P-wave arrival time estimation in the CN114966833A earthquake early warning system. The method includes the following steps: obtaining the instantaneous STP / LTP ratio of an observation signal at a predetermined location in real time at any given moment; determining the arrival time of a P-wave based on the instantaneous STP / LTP ratio of the observation signal at any given moment and a predetermined threshold value; based on the P-wave arrival time, determining the first STP / LTP ratio of the observation signal within a predetermined time period after the P wave arrival time; and estimating the magnitude of the preset location based on the first STP / LTP ratio and a previously acquired hypo-central distance R. By obtaining the instantaneous STP / LTP ratio of the observation signal at each moment in real time, the arrival time of the P-wave is determined based on the instantaneous STP / LTP ratio of the observation signal at each moment and a predetermined threshold value. After the P-wave arrives, the earthquake magnitude can be rapidly estimated within a predetermined time period, thereby improving earthquake early warning efficiency compared to the prior art.

[0016] Many studies have been conducted in the field of seismology and early warning systems. The term seismic arrays refer to systems in which multiple seismometers or sensors are used in a specific arrangement. Such systems can provide more and more detailed information compared to a single seismometer. With a single sensor, only the effects of seismic waves at a specific point can be measured. However, when a series of sensors is used, the effects of the waves at various points can be examined. This provides more comprehensive information about the propagation speed, direction, and shape of the waves. Seismic arrays allow for more accurate measurement of parameters such as azimuth (the direction from which the wave arrives) and velocity (changes in wave speed). This also enables seismic events to be analyzed more accurately. Seismic arrays provide the ability to predict ground movements more accurately. By combining data from multiple sensors, we can better model how movements and waves propagate on the ground surface. Seismic arrays, when positioned to cover a wider area, can better represent seismic activity in a specific region. This allows for more reliable data to be obtained using fewer stations. Seismic arrays can replace traditional single-sensor seismic stations, providing more optimal and accurate solutions. This is a significant advantage, particularly for analyzing large and complex seismic events. Seismic arrays enable more detailed and accurate analysis of seismic events and ground motions. Using multiple sensors makes it possible to obtain more information about wave propagation patterns and other important parameters. Such systems offer higher accuracy and reliability in seismic analysis, which is of great importance for both fundamental research and practical applications. Seismic Early Warning (EEW) systems face the significant challenge of making accurate predictions with limited data, often with only a few seconds of waveform information. An effective way to increase the reliability of these estimates is through the use of seismic arrays. Seismic arrays consist of multiple sensors deployed over a large area, often covering hundreds of meters. This arrangement allows for a more detailed analysis of the incoming seismic waves compared to individual sensor stations. There are key benefits to using seismic arrays. Seismic arrays can capture more comprehensive data, including slowness (the speed at which seismic waves travel) and back azimuth (the direction in which the waves originate). This additional information helps to improve estimates of the intensity and impact of ground shaking. By analyzing aggregated data from multiple sensors, seismic arrays can provide more accurate predictions of how ground motion will propagate. This can lead to better predictions of the severity of an earthquake's effects. With the enhanced capabilities of seismic arrays, fewer stations are needed to achieve reliable seismic event detection and localization. This can make the monitoring network more cost-effective and efficient. The capacity of an Earthquake Early Warning System (EWS) is proportional to its ability to provide highly reliable real-time magnitude and shaking estimates in a short time. These parameters also depend on the accuracy of the source location. Therefore, it is crucial to improve the DEUS earthquake location estimation. In conventional systems, four or more stations need to be triggered to determine the earthquake location. Achieving this with fewer trigger stations is a challenge to be overcome. Since there is no work in the art that has addressed this aspect, it has become necessary to carry out an R&D study.

[0017] Purpose of the Invention

[0018] The purpose of the invention is to ensure that the earthquake P-wave is captured instantly by means of additional hardware, software and our method of setting up earthquake early detection stations on the velocity and accelerometers used and our system that analyzes them.

[0019] The purpose of the invention is to provide early earthquake warnings to individuals, companies and public institutions using our mobile applications or loT devices.

[0020] The purpose of the invention is to provide a balanced approach to optimize earthquake early warning systems by combining seismic arrays with conventional single-sensor stations, leveraging the strengths of both methods. The purpose of the invention is to detect the intensity, magnitude and location of earthquakes within 300 milliseconds of the earthquake occurrence, which we detect by artificial intelligence -based data analysis with the established seismic array sensor network.

[0021] The purpose of the invention is to transmit this detected earthquake information to all loT devices with internet connection in less than 1 second.

[0022] The purpose of the invention is to provide a next generation earthquake early warning system and configuration to improve the performance of location algorithms using real-time back azimuth.

[0023] The object of the invention is to reduce the P-wave detection time to less than 1 second.

[0024] The object of the invention is to provide high accuracy early detection of the epicenter of an earthquake by using a single standalone array module and multiple array modules.

[0025] Detailed Description of the Invention

[0026] The invention relates to a new generation earthquake early warning system configured to improve the performance of location algorithms using real-time back azimuth (BAZ). Azimuth is the horizontal component of a directional description. This is also known as the horizon angle. Azimuth is measured clockwise around the horizon. Measured from north to east in astronomy and geodesy, and from south to west in earth surveying. Generally specified in degrees of angle. The next generation earthquake early warning system is a real-time array-based position algorithm that provides an initial position estimate after an S-wave arrives at the first array or the first sensor, or after a P-wave arrives at a second array / sensor. If the position is calculated from only one array (if the arrays are in the same direction as the earthquake and the distance between the arrays is large), the position can be calculated when the S wave arrives after the first P wave and before the P wave reaches the second array. In other words, to calculate the position, either at least two arrays / sensors need to receive P-waves or only one array needs to receive P and S waves.

[0027] The next generation earthquake early warning system applies the principles of array seismology for real-time localization. This system consists of two main modules: a single standalone array and multiple arrays. In a single standalone array, waveform slowness and back azimuth are continuously monitored. The P and S wave arrivals are determined, and the back azimuth estimates the distance and position. The resulting back azimuth is used to determine the angle with the earthquake location. This process is repeated with the second array. The closest distance at the intersection of the back azimuths of these two arrays is considered the probable location of the earthquake. When the next single station and array receive a P-wave, this estimated location information is updated. Multiple arrays integrate data from several standalone modules. As P-wave arrivals occur, they collect multiple estimates of the back azimuth (BAZ) with equal differential time (EDT) surfaces. The real-time array method has significant advantages for environments with sparse networks and / or unfavorable sourcestation configurations. Flowcharts of a single standalone array and multiple array modules are stated in Figure 1.

[0028] It consists of two main modules: a single standalone array module and a multiple array module. The single standalone array module analyzes array data from the sensors to perform an initial assessment of the earthquake. The single standalone array module consists of a waveform scanner and P-wave picker (Waveform Scanner & P-Picker), a BAZ and S-wave picker (BAZ&S-Picker), and a locator. Seismic waves are analyzed on the LTA monitor in the waveform scanner and P-wave picker. LTA stands for long-term average. This is used to calculate intersensory time offsets, and subsequently, the P-wave is selected. In the BAZ and S-wave picker, BAZ refers to back azimuth, and back azimuth and slowness (SLO) timelines are generated. SLO stands for slowness. The wave arrival angle and S-wave are selected from the first signal in the BAZ and S-wave picker. The locator, i.e., the position finder, calculates the BAZ beam, i.e., the back azimuth beam, and determines the distance using the S-P distance, i.e., the time difference between the S and P waves. This enables the estimation of the epicenter using a single array.

[0029] The Multiple Array Module aims to improve the epicenter estimate by combining data from multiple arrays. It consists of an event associator, a region calculator, and a region intersector. The event associator evaluates whether data from different arrays are compatible with each other. This evaluation is calculated using Pj - Pi < Travel Timeij. The time it takes for seismic waves to travel from the focus to the recording station is called travel time, transit time, or propagation time . In other words, the data between two arrays is compared based on travel time . The region calculator determines the earthquake zone by using the wave arrival angle and the time difference of S-P waves. This involves calculating the back-azimuth beam, calculating the EDTij segments (i.e., specific travel time segments), calculating the equal differential time, and using S-P wave time difference-based region determination. Updated hypocenter region in Regions intersector, i.e. region intersector, is used to update the earthquake epicenter region by intersecting regions from different arrays. In other words, as a result, it is possible to determine the location of the earthquake with data from more than one seismic station (array) and to estimate the point where the earthquake energy is released, also called a more accurate focal point. An improved earthquake epicenter center estimate is obtained with updated data from multiple arrays. In the Multiple Array Module, the array data from n number of sensors are taken into account and the calculation is performed provided that n> 2.

[0030] The array data is received as a waveform from the sensors in the array and comes to a single standalone array module for processing. In the waveform scanner and P-wave picker, the longterm average LTA signals are monitored and analyzed, then the time differences between the sensors inside the array are calculated and finally the back azimuth (BAZ) and slowness (SLO) timelines are generated. The P-wave is detected and selected from the incoming waves. Then the SLO, i.e. the slowness, which reaches first in the BAZ and S-wave picker is determined, and the back azimuth, i.e. the BAZ value of the incoming wave is calculated. In the S-wave picker, the S-wave is detected and selected from the incoming waves. Then, in the locator, the back azimuth beam BAZ beam is calculated, and the distance is calculated based on the time difference between the S and P waves. This results in a first estimate of the epicenter of the earthquake using a single array.

[0031] In the multiple array module, data from multiple arrays (1starray, 2ndarray....ntharray) is retrieved, provided that the array data is n > 2 array data. According to the calculation Pj - Pi < Travel Timey, the time difference between P-waves from each array is evaluated according to the travel time criterion. The BAZ beams, i.e. back azimuth beams, from all arrays are calculated and the travel time / time, i.e. equal differential time, i.e. EDTij segments with equal time differences are calculated. With these calculations, the time difference between the S and P waves is used to determine the regions where the earthquake could occur. The regions from all arrays are combined and a reliable estimate of the epicenter of the earthquake is made. In the multi-array module, the difference is that more than one array data is used to accurately estimate the epicenter of the earthquake.

[0032] The invention relates to a new generation earthquake early warning system, developed to offer significant advantages over traditional detection / waming systems. These advantages are low- cost network configuration, linear seismic network with omnidirectional sensing capability, use of artificial intelligence technology that eliminates false warnings, fast deployment and rapid implementation of the system, P-phase detection reduced to below 1 second. Figure 2 shows the interface of the next generation early warning system. The next generation early warning system ideally consists of at least three stations in an array. These arrays can be triangular, quadrilateral or diamond shaped. Knowing the location of each station is important. The distance between two arrays should be twice the distance of the fault to the array. So, if the fault is 10 km away, the distance between the two arrays should be 20 km. To explain the subject of the invention, the new generation earthquake early warning system, with an example;

[0033] On September 26, 2019 at 16.59 (GMT), an earthquake with a magnitude of ML= 5.7 occurred approximately 13 km deep in the Sea of Marmara (off the coast of Silivri). Very close to the epicenter of this earthquake, another earthquake with a magnitude ML=3.5 occurred on October 11, 2023. In this example, the latest version of the seismic network around the Sea of Marmara is used and its outputs are discussed.

[0034] The new generation early warning system first provides rapid identification of the hypocenter region by detecting the P-wave phase of the stations for the ML=5.7 magnitude earthquake. In the ML=5.7 earthquake that occurred in 2019, the small-aperture arrays were far from the epicenter because they were installed a short time ago, and therefore they could not be utilized advantageously. In 2019, when the earthquake occurred, only one array was installed at Bogazici University Kandilli Observatory. The array was far away from the epicenter of the earthquake. In fact, the system was under testing. The system did not give positive results due to the need to detect the S-wave in single arrays. Since the standard network of single stations detects the P-wave phase, the epicenter of the earthquake can be reliably determined.

[0035] Determination of the epicenter location of the September 26, 2019 earthquake (ML=5. 7) by the next generation early warning system;

[0036] The red star represents the catalog position, the green plus represents the position determined by DEUS. The blue circle represents the P-wave and the red circle the S-wave. Each triangle in the figure represents a single station. Green triangles and red-filled stations are the stations used in the solution where the P wave is triggered. (Figure 3)

[0037] For the ML=3.5 earthquake that occurred on October 11, 2023, as a result of the network update on the north coast before the earthquake, a network design with more frequent and better station distribution geometry was used compared to the earthquake in 2019 (Figure 4). Figure 4a shows the ML=5.7 earthquake analyzed in the standard single-station seismic network and Figure 4b shows the ML=3.5 earthquake analyzed in the hybrid network (both single station and array). The conventional earthquake warning system needs a good station azimuth distribution to determine the magnitude and location of the earthquake. In the traditional earthquake warning system, although two stations are P-wave triggers, the response of a southern station is expected to determine the magnitude and location. The solution begins when the P-wave reaches the southern station. However, by this time the S-wave will have already reached the northern settlements, so it is not possible to issue a warning with conventional earthquake early warning. As shown in Figure 4a, no solution is obtained when a P-wave reaches two of the conventional EDS stations. However, in the next generation early warning system, since an array is located at the locations of these stations, the first solution is provided with an error of 15 km. In the traditional earthquake warning system, it took 16 seconds to calculate the location and magnitude of the earthquake (due to high delays). In the new generation early warning system, this time is 4 seconds. The reason for this is both the low latency and the use of different algorithms. The interface of the next generation early warning system where an earthquake is analyzed is shown in Figure 5.

Claims

CLAIMS1. A new generation earthquake early warning system that applies the principles of array seismology for real-time position determination, uses a linear seismic network with a low-cost network configuration, capable of multi-directional sensing, prevents false warnings with the use of artificial intelligence technology, wherein the system comprises a sensor that enables the first position estimate to be obtained with the array data after the S wave arrives at the first array and / or after the P wave arrives at a second array and / or the first position estimate to be obtained with the data from multiple arrays, a single standalone array module and / or multiple array module, which includes a real-time array-based position algorithm and which enables the performance of the position algorithms to be enhanced by using real-time back azimuth (BAZ).

2. A new generation earthquake early warning system according to claim 1, wherein said system comprises a single stand-alone array module that enables the initial assessment of the earthquake by analyzing the array data from the aforementioned sensors, consisting of a Waveform Scanner & P-Picker, a BAZ & S-Picker and a Locator.

3. A new generation earthquake early warning system according to claim 1 or claim 2, wherein said system includes a long-time averaging LTA monitor for enabling the analysis of seismic waves, waveform scanner and P-wave picker, which enable the calculation of time offsets between sensors and the generation of back azimuth (BAZ) and slowness (SLO) timelines for P-wave detection and selection.

4. A new generation earthquake early warning system according to claim 1 or claim 2, wherein said system comprises a BAZ and S-wave picker (BAZ&S-Picker) that enables the detection and selection of the S-wave by determining slowness (SLO) value of the first arriving wave and the back-azimuth (BAZ) value of the earthquake.

5. A new generation earthquake early warning system according to claim 1 or claim 2, wherein said system includes a locator that calculates the back azimuth beam (BAZ beam) and derives the distance using the time difference of S-P waves.

6. A new generation earthquake early warning system according to any one of the previous claims, wherein said system comprises a single standalone array module that determines the arrival of P and S waves by continuously monitoring the waveform velocity and back-azimuth in a single standalone array, wherein said module enables determining angle of the location where the earthquake occurred by estimating the distance and location of the back azimuth, wherein by repeating the same process in the second array, said module enables the estimationof the earthquake's epicenter by finding the closest distance at the intersection of the back azimuths of these two arrays.

7. A new generation earthquake early warning system according to claim 1, wherein said system includes a Multiple Array Module that improves the epicenter prediction by combining multiple array data consisting of an event associator, region calculator, and regions intersector.

8. A new generation earthquake early warning system according to claim lor claim 7, wherein said system comprises an event associator that enables the evaluation of whether data from different arrays are consistent with each other, i.e., the comparison of data between two arrays based on travel time.

9. A new generation earthquake early warning system according to claim 7 or claim 8, wherein event associator is designed to calculate the evaluation of comparison data between two arrays based on travel time, using the formula Pj - Pi < Travel Timeij.

10. A new generation earthquake early warning system according to claim 1 or claim 7, wherein said system comprises a region calculator that determines the earthquake zone by utilizing the wave arrival angle and the time difference between S-P waves.

11. A new generation earthquake early warning system according to claim 7 or claim 10, wherein region calculator enables the calculation of the back azimuth beam (BAZi), the calculation of specific travel time segments (EDTij segment), and the determination of (S-P)i region, i.e. regions based on the S-P wave time difference.

12. A new generation earthquake early warning system according to claim 1 or claim 7, wherein said system includes a region intersector that updates the earthquake epicenter region by intersecting regions from different arrays.

13. A new generation earthquake early warning system according to claim 1 or claim 7, wherein said system contains a Multiple Array Module that determines the true underground starting point of the earthquake as P-wave arrivals occur using array data from multiple seismic stations by acquiring multiple estimates of the back azimuth (BAZ) with equal differential time (EDT) surfaces.

14. The operation method of the new generation earthquake early warning system that applies the principles of array seismology for real-time positioning, utilizes linear seismic network with omnidirectional sensing capability, uses a linear seismic network with a low-cost network configuration, capable of multi-directional sensing, enables epicenter estimation using a single array that prevents false warnings with the use of artificial intelligence technology, wherein said method comprises the following steps:• acquiring the array data from the sensors as waveforms,• uploading the received data to a single standalone array module for processing,• analyzing long-term average LTA signals by monitoring them on the LTA monitor and calculating the array time differences within the waveform scanner and P-wave picker.• generating back azimuth (BAZ) and slowness (SLO) timelines,• detecting and selecting the P-wave from the incoming waves in accordance with the timelines,• calculating the BAZ value of the incoming wave by determining the first SLO, i.e. slowness arriving to the BAZ and S-wave picker, and selecting the S-wave by detecting,• calculating the back-azimuth beam (BAZ beam) and making an initial estimate of the earthquake's epicenter based on the distance calculation derived from the time difference between S and P waves.

15. The operation method of the new generation earthquake early warning system that applies the principles of array seismology for real-time positioning , uses a linear seismic network with a low-cost network configuration, capable of multi -directional sensing, enables the positioning of the actual underground starting point of the earthquake with array data from multiple seismic stations that prevent false warnings with the use of artificial intelligence technology, wherein the said method comprises the following steps:• acquiring data from sensors from multiple arrays (provided there are n > 2 array data),• uploading the acquired data into the multiple array module for processing,• correlating the time difference between P-waves from each array,• calculating all back azimuth beams from all arrays and calculating differential time segments where time differences are equal,• using these calculations and the time difference between S and P waves to determine the regions where the earthquake may occur,• determining the starting point of the earthquake by merging and intersecting the identified zones.

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