A distributed sensing system and method that enables earthquake detection through the simultaneous comparison of sensor data from smart portable devices.

Abstract

The earthquake early warning system consists of: a user device (1) that collects sensor data and alerts the user; a sensor module (2) located in the user device (1) that measures physical vibration movement; a local analysis unit (3) that processes the data received from the sensor module (2), filters the raw sensor data and removes noise, and identifies vibrations that carry earthquake characteristics; a pre-alarm data packet (4) containing the detected vibration amplitude, timestamp, and sampling data; a communication module (5) that enables the transmission of the pre-alarm data packet (4) to nearby user devices (1); a neighboring device verification mechanism (6) that verifies the data received from multiple nearby user devices (1) simultaneously; a confidence score calculation module (7) that numerically evaluates the probability of an earthquake; an earthquake decision engine (8) that decides when an earthquake has occurred; and a warning generation module (9) that informs the user about the danger.It includes an anonymous location grid mapping system (11) that performs location verification without disclosing user identity.

Description

1 TARIFF Earthquake detection through simultaneous comparison of sensor data from smart portable devices. distributed sensing system and method Technical Area The invention relates to earthquake early warning systems, disaster management technologies, and distributed computing systems. Specifically for use in areas such as smartphones, wearable devices and IoT (Internet of Things). early detection of seismic events using sensor data from internet) devices and 10 It relates to systems and methods that provide users with advance warning. State of the Art Earthquake early warning systems can detect destructive earthquake waves 15 days before they reach a region. These are systems designed to generate warnings. Currently, there are two main types of systems used for this purpose. The approach used is the first of these, which are systems based on a network of fixed seismometers (for example Examples include AFAD (Disaster and Emergency Management Presidency of Turkey), Kandilli Observatory, and early warning (EEW) systems in Japan. In these systems, fixed seismic stations placed at specific points detect earthquake motion. It detects, the data obtained is verified by a central server, and 20 After verification, alerts are sent to the relevant regions. The second approach is centralized. These are server-based phone systems (for example, the Android Earthquake Alerts approach). In these systems, vibration data obtained from sensors found in smartphones is centralized. The data is transmitted to the server, which searches for a match between these data and determines whether an earthquake has occurred. The decision regarding whether or not it exists is made at the central level. 25 These known systems have various technical shortcomings. They are based on fixed stations. The systems require high installation costs and consequently have limited coverage. It has a limited area of ​​expertise and is also inadequate in detecting low-magnitude micro-earthquakes. It remains. In both approaches, the data is transmitted to a central server, where it is processed. 30 and a server-related delay (latency) occurs due to the feedback of the result. In addition, these systems can be activated in case the internet connection is interrupted. because it is unable to function and all decision-making mechanisms are concentrated in a single center. It carries the risk of a single point of failure. 35 2 During an earthquake, the P-wave is the first wave detected, while the S-wave is the one that has the main destructive effect. There is a time difference of a few seconds between them, and the effectiveness of early warning systems It largely depends on their ability to generate a warning within this short period. However, it is known that... the process by which data is sent to, processed, and reported back to the central server in the systems Due to the time constraints, a significant portion of this critical early warning time is lost. 5 On the other hand, vibration data obtained via smartphones can track vehicle movement, subway traffic, etc. also from actions unrelated to the earthquake, such as dropping the device or running. This can be the source of the problem, leading to false alarms. Therefore, a single... Data obtained from the device is considered reliable on its own for earthquake detection. 10 It cannot be done. The application with registration number US10887748B2 was revealed as a result of technical investigations. Summary: "MyShake," a distributed seismic system, is used to determine the onset of an earthquake. It aggregates sensor data from smartphones and issues alerts. It is generated over the same telephone network. The system detects earthquakes of magnitude 2.5 and above. It can record and analyze earthquake tremor data from the phone's other daily tremors. It provides on-device detection capability to differentiate between earthquake data and network detection. The algorithm confirmed that an earthquake was occurring, along with its location and magnitude. It is gathered at a central point that predicts the earthquake in real time. This information is used to predict the earthquake in 2020. as part of an early warning system — for example, via a telephone network — approaching location It is used to issue a warning about an earthquake. As can be seen, the invention relates to an earthquake early warning system, and in addition to that... 25 from a structure that can provide a solution to the disadvantages mentioned above It does not mention it. In conclusion, due to the negative aspects described above and the current solutions, the subject matter... Due to its shortcomings, it has become necessary to make improvements in the relevant technical field. 30 Purpose of the Invention The invention represents a new breakthrough in this field, unlike the structures used in existing technology. It aims to create a structure with different technical specifications that bring about different results. 35 3 The primary purpose of the invention is to support smartphones, wearable devices, and the IoT (Internet of Things). Early detection of seismic events using sensor data from devices and users The aim is to provide advance warning. One aim of the invention is to address the need for fixed seismic stations located on a city scale. without hearing, by processing accelerometer and similar sensor data obtained from user devices A system and method for performing earthquake detection and verification processes has been developed. to place. One aim of the invention is to ensure that earthquake detection and verification decisions are made not in a single center, but by devices. By enabling their creation in a distributed structure where they verify each other, single point error is avoided. The goal is to eliminate the risk of point of failure. Another aim of the invention is to enable direct device-to-device (P2P) communication between devices. using a system to transmit, process, and report data back to a central server. eliminating the spent latency and thus separating the P-wave from the S-wave. The key is to maintain the critical early warning period between them. Another aim of the invention is to enable the system to operate without the need for fixed seismic stations. by enabling it to work through smartphones that users already own to eliminate high installation costs and to make the application accessible to users The goal is to expand its coverage area depending on its widespread adoption. Another aim of the invention is to enable each device to analyze sensor data locally and 25 If it detects an earthquake-like vibration, it creates a pre-alarm package and sends this package The goal is to enable direct transmission to other nearby devices. One of the aims of the invention is to filter accelerometer data, create a noise suppression model, and determine a confidence score. With the help of operations such as calculation, vehicle movement, subway usage, and device dropping 30 or by filtering out vibrations unrelated to the earthquake, such as running, to reduce false alarms to provide. Another aim of the invention is to enable a certain number of devices (e.g., 20-30 devices) to exhibit the same vibration pattern. time correlation and threshold majority within the same time interval 35 earthquake if verified using threshold-based majority verification method 4 by forming the decision, erroneous decisions based on data obtained from a single device The goal is to prevent this and increase the reliability of verification. Another purpose of the invention is to determine users' location using an anonymous location grid system. The goal is to ensure the protection of privacy. 5 Another aim of the invention is to determine the direction of arrival of the earthquake wave and its estimated arrival time. by calculating and warning the user before the destructive wave reaches the relevant area. to provide. One aim of the invention is to allow the device to continuously monitor sensor data in the background with very low energy consumption. By enabling monitoring, the system can operate efficiently on user devices. to make it possible. Another aim of the invention is to be able to operate independently of a central server and internet infrastructure, 15 an earthquake early warning system that can operate through direct communication between devices to provide. To fulfill the purposes described above, the invention is an earthquake early warning system, Feature; 20  User device that enables sensor data collection and user alerts,  A sensor module located in the user's device that measures physical vibration movement,  Processes the data received from the sensor module, filters the raw sensor data and removes noise. Local analysis that enables the selection and identification of vibrations exhibiting earthquake characteristics. unit, 25  Preliminary alarm data including detected vibration amplitude, timestamp, and sampling data. package,  Communication that enables the transmission of the pre-alarm data packet to nearby user devices. module,  Verification of data received simultaneously from multiple nearby user devices 30 providing neighbor device verification mechanism,  Confidence score calculation module that numerically assesses the probability of an earthquake,  Earthquake decision engine that determines when an earthquake has occurred,  Alert generation module that informs the user about the danger,  Anonymous location grid 35 that performs location verification without revealing user identity mapping system It includes. The structural and characteristic features and all the advantages of the invention are given in the figures below. Thanks to the detailed explanation written with references to the figures, it becomes clearer. This will be understood, and therefore the evaluation should also take these figures and detailed explanations into account. 5 It must be done by taking it. Figures that will help understand the invention. Figure 1 shows a general representation of the system that is the subject of the invention. 10 Figure 2 is a schematic representation of the method described in the invention. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent... Elements that are identical or at least have substantially identical functions are numbered 15 times. It is shown. Explanation of Part References 1. User device 20 2. Sensor module 3. Local analysis unit 4. Pre-alarm data package 5. Communication module 6. Neighboring device verification mechanism 25 7. Confidence score calculation module 8. Earthquake decision engine 9. Alert generation module 10. IoT control system 11. Anonymous location grid mapping system 30 1001. Vibration in the environment detected by the sensor module (2) located in the user device (1). continuous monitoring of data, 1002. Filtering of raw sensor data and noise by the local analysis unit (3). sorting, 35 6 1003. Vibration candidate suitable for earthquake characteristics by the local analysis unit (3) detection, 1004. Pre-alarm data packet (4) for the incident detected by the local analysis unit (3) creation, 1005. Pre-alarm data packet (4) to nearby user devices (1) communication module (5) 5 transmission via, 1006. Verification of alarm data from surrounding user devices (1) by neighboring devices collected by mechanism (6), 1007. Neighboring device verification mechanism (6) by which the same time interval occurs Comparison of vibrations, 10 1008. The number of verifying devices is calculated by the confidence score calculation module (7). determination, 1009. Calculation of earthquake probability by confidence score calculation module (7), 1010. The earthquake decision by the earthquake decision engine (8) according to the calculated score. given, 15 1011. Early warning notification of the user by the warning generation module (9), 1012. Switching connected smart devices to safe mode via the IoT control system (10), 1013. Anonymous location information by the anonymous location grid mapping system (11) evaluation, 1014. Neighboring device verification mechanism (6), confidence score calculation module (7) and 20 Earthquake decision engine based on data from anonymous location grid mapping system (11) (8) Estimation of the direction of arrival of the earthquake wave, 1015. Notification of estimated arrival time to the user by the alert generation module (9). Detailed Description of the Invention 25 In this detailed explanation, the preferred configurations of the invention are not merely for better understanding the subject. in order to facilitate understanding and without imposing any limiting effects It is explained. The invention relates to earthquake early warning systems, disaster management technologies, and distributed computing systems. Specifically for use in areas such as smartphones, wearable devices and IoT (Internet of Things). early detection of seismic events using sensor data from (internet of mind) devices and It relates to systems and methods that provide users with advance warning. 35 The elements and functions used in the system that is the subject of the invention are as follows: 7 The user device (1) enables the collection of sensor data and alerting of the user. It is a device. It has application and sensor access APIs that run on the operating system. Preferably a mobile phone. The sensor module (2) is located in the user device (1) and measures the physical vibration motion. It is the module that produces data for this purpose. The sensor module in question (2) is a MEMS-based module for this purpose. It includes motion sensors such as accelerometer, gyroscope and barometer, among others. It continuously produces data from the sensors. The local analysis unit (3) processes the data it receives from the sensor module (2) and converts the raw sensor data into filtering and noise removal, and exhibiting earthquake characteristics. It is the unit that determines vibrations. Digital signal processing, band-pass filtering, and frequency analysis. It includes a software algorithm that implements it. Pre-alarm data packet (4), detected vibration amplitude, timestamp and sampling data It is a data packet containing... The communication module (5) transmits the pre-alarm data packet (4) to nearby user devices (1). This module provides Bluetooth Low Energy, Wi-Fi Direct, or internet socket communication. It uses protocols. Neighboring device verification mechanism (6), multiple nearby users at the same time It is the mechanism that enables the verification of data received from the device (1). A time window It enables the counting and comparison of matching signal events. 25 The confidence score calculation module (7) numerically evaluates the probability of an earthquake. It is a module. For this, it is based on the correlation of the number of verifying devices, distance and time. It uses a weighted score calculation algorithm. The earthquake decision engine (8) is the unit that decides that an earthquake has occurred. It includes a decision algorithm that compares scores based on a defined threshold value. The warning generation module (9) is the module that informs the user about the danger. Audible alarm, It can provide vibration and emergency notification systems. 35 8 The IoT control system (10) is the system that enables connected devices to be put into safe mode. Smart Wireless trigger commands (MQTT / HTTP etc.) for controlling sockets, relays or valves. It uses. Anonymous location grid mapping system (11), provides spatial 5 without disclosing user identity. It is a verification system that divides GPS coordinates into squares of a specific size. It uses a grid-based location algorithm that anonymizes location data. The invention works on the following principle: The sensor module (2) on the user device (1) continuously collects vibration data. Local 10 The analysis algorithm (3) filters the data and identifies signals that carry earthquake characteristics. Threshold If it is exceeded, the pre-alarm data packet (4) is generated and via the P2P communication module (5) It is sent to nearby user devices (1). Neighboring device verification mechanism (6), devices receiving similar signals in the same time period 15 determines the number. The confidence score calculation module (7) determines the reliability according to the number of verifications. It produces a value. The earthquake decision engine (8) gives a warning if the determined threshold value is exceeded. It triggers the production module (9). Also, the IoT control system (10) is activated and connected devices It can be switched off. Location information is processed via the anonymous location grid system (11). The steps involved in the process carried out with the system that is the subject of the invention are listed below:  Vibration data in the environment is obtained by the sensor module (2) located in the user device (1). continuous monitoring (1001),  Filtering of raw sensor data and noise by the local analysis unit (3) sorting (1002), 25  Determination of the vibration candidate suitable for the earthquake characteristics by the local analysis unit (3) (1003),  Pre-alarm data packet (4) for the incident detected by the local analysis unit (3) creation (1004),  The pre-alarm data packet (4) is sent to nearby user devices (1) by the communication module (5) 30 transmission via (1005),  Verification of alarm data from surrounding user devices (1) by neighboring devices (1006), collected by the mechanism (6),  Neighboring device verification mechanism (6) by which the same time interval occurs Comparison of vibrations (1007), 35 9  Determining the number of verifying devices by the confidence score calculation module (7) (1008),  Calculation of earthquake probability by confidence score calculation module (7) (1009),  Earthquake decision made by earthquake decision engine (8) according to the calculated score (1010), 5  The user is informed with an early warning by the warning generation module (9) (1011),  Switching connected smart devices to safe mode via the IoT control system (10) (1012),  Location information is provided anonymously by the anonymous location grid mapping system (11). evaluation (1013),  Neighboring device verification mechanism (6), confidence score calculation module (7) and anonymous 10 Earthquake decision engine (8) based on data from location grid mapping system (11) Predicting the direction of arrival of the earthquake wave by (1014),  The estimated arrival time is reported to the user by the alert generation module (9) (1015).

Claims

REQUESTS 1. It is an earthquake early warning system, and its features are:  User device that enables the collection of sensor data and alerting the user (1),  The sensor module (2) located in the user device (1) that measures physical vibration movement, 5  Processing the data received from the sensor module (2) and filtering the raw sensor data and It enables the removal of noise and identifies vibrations that have earthquake characteristics. local analysis unit (3),  Preliminary alarm data including detected vibration amplitude, timestamp, and sampling data. package (4), 10  Communication that enables the transmission of the pre-alarm data packet (4) to nearby user devices (1). module (5),  Verification of data received from multiple nearby user devices (1) at the same time providing neighbor device verification mechanism (6),  Confidence score calculation module that numerically evaluates the probability of an earthquake (7), 15  earthquake decision engine that decides that an earthquake has occurred (8),  Alert generation module that informs the user about the danger (9),  Anonymous location grid that performs location verification without revealing user identity. mapping system (11) It includes. 20 2. The system complies with Claim 1 and features a MEMS-based accelerometer, gyroscope, and barometer. It includes a sensor module (2) containing its sensors.

3. The system compliant with claim 1, and its features include Bluetooth Low Energy, Wi-Fi Direct or internet 25 It includes a communication module (5) that uses socket communication protocols.

4. The system complies with Claim 1, and its characteristics are: number of verifying devices, distance and time. confidence score using a weighted score calculation algorithm based on correlation It includes the calculation module (7). 30 5. The system complies with Claim 1 and its feature is that it scores according to a predetermined threshold value. It includes an earthquake decision engine (8) which includes a decision algorithm that makes comparisons.

6. The system complies with Claim 1 and its features include: audible alarm, vibration and emergency notification system. 35 It includes a warning generation module (9) that alerts the user. 11 7. The system complies with Claim 1 and its feature is that it enables connected devices to be put into safe mode. It includes an IoT control system (10).

8. It is an earthquake early warning method, and its characteristic is; 5  Vibration in the environment detected by the sensor module (2) located in the user device (1). continuous monitoring of data (1001),  Filtering of raw sensor data and noise by the local analysis unit (3) sorting (1002),  The local analysis unit (3) selected 10 vibration candidates that match the earthquake characteristics. detection (1003),  Pre-alarm data packet (4) for the incident detected by the local analysis unit (3) creation (1004),  The pre-alarm data packet (4) communicates with nearby user devices (1) via the communication module (5) transmission via (1005), 15  Verification of alarm data from surrounding user devices (1) by neighboring devices (1006), collected by the mechanism (6),  Neighboring device verification mechanism (6) by which the same time interval occurs Comparison of vibrations (1007),  The number of verifying devices is 20 by the confidence score calculation module (7). determination (1008),  Calculation of earthquake probability by confidence score calculation module (7) (1009),  The earthquake decision is made by the earthquake decision engine (8) according to the calculated score. given (1010), 25  The user is informed with an early warning by the warning generation module (9) (1011),  Location information is provided anonymously by the anonymous location grid mapping system (11). evaluation (1013),  Neighboring device verification mechanism (6), confidence score calculation module (7) and 30 According to the data obtained from the anonymous location grid mapping system (11), earthquake decision Estimation of the direction of arrival of the earthquake wave by the engine (8) (1014),  The estimated arrival time is notified to the user by the alert generation module (9) (1015) It includes the steps of the process. 35 12 9. The method is compliant with claim 8 and its feature is; IoT control system of connected smart devices (10) This involves the process step of switching to safe mode via (1012).

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