Earthquake monitoring system

Abstract

The invention discloses an earthquake monitoring system, which relates to the technical field of intelligent monitoring, comprises a data acquisition module, a data analysis module and a feedback module, and comprises the steps of constructing a seismic source movement map, obtaining a movement track, cutting to obtain a sub-map, calculating the ratio of the area of seismic waves and ranges contained in the sub-map to the area of a cutting frame, and dividing centralized grades to obtain a seismic source movement map; and calculating an earthquake-prone factor, obtaining a concentration level corresponding to the danger sub-graph, calculating the earthquake-prone factor corresponding to the danger sub-graph, sending out an early warning signal, and displaying early warning lamps with different brightness and different colors. The seismic source movement map is constructed through historical data, the timeliness and accuracy of early warning are improved, the position of the seismic source and the movement track of the seismic source are analyzed, the capability of responding to seismic activities is improved, corresponding early warning signals are sent out for areas with different risk levels, finer early warning service is achieved, the seismic risk levels are visually displayed, and the early warning effect is improved. More comprehensive risk assessment can be provided, and the scientificity and reliability of the early warning system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring, and in particular to an earthquake monitoring system. Background Art

[0002] In recent years, intelligent early warning technology has continued to develop. In earthquake-prone areas, the use of high-density seismic networks can more accurately capture the propagation characteristics of seismic waves, improve monitoring accuracy and coverage, and use automated data processing technology to improve the speed and accuracy of earthquake information processing. It can analyze large amounts of seismic data, identify earthquake precursors, and predict the probability of an earthquake. It has significantly improved the ability to monitor and warn of earthquakes, making the earthquake early warning system more accurate and timely, and can effectively reduce the losses caused by earthquakes.

[0003] At present, a method for predicting earthquakes is disclosed in a Chinese invention patent with publication number CN 109061719 B. The method compares each peak and trough in a curve, records the peaks and troughs with similar shapes that appear continuously in the curve, matches the corresponding epicenter position, and calculates the magnitude of the epicenter area according to the number of peaks or troughs in the curve. However, the relevant technology does not predict earthquakes in advance, the system lacks foresight, is not conducive to preventing risks in advance, does not issue different warning signals according to the different degrees of predicted earthquakes, and lacks hierarchy in prediction. Summary of the invention

[0004] The technical problem solved by the present invention is that: the relevant technology does not predict earthquakes in advance, the system lacks foresight, is not conducive to early prevention of risks, does not issue different early warning signals according to the different degrees of predicted earthquakes, and lacks hierarchical prediction.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, an earthquake monitoring system includes a data acquisition module, a data analysis module and a feedback module:

[0006] The data acquisition module is used to obtain the historical earthquake time, corresponding magnitude, source location and frequency of earthquakes at the source location, fault parameters and rock formation parameters of the area to be tested;

[0007] The data analysis module constructs a source movement map according to the historical earthquake time and source location, obtains the movement trajectory according to the source movement map, numbers the source location according to the historical earthquake time sequence, marks the earthquake impact range on the source movement map according to the corresponding magnitude, sets the cutting frame size, divides the marked source movement map to obtain sub-maps, numbers the sub-maps, obtains the area of ​​the earthquake impact range contained in the sub-maps, calculates the ratio of the area of ​​the earthquake impact range contained in the sub-maps to the area of ​​the cutting frame, compares the ratio with the first value and the second value to obtain a first comparison result, divides the concentration level according to the first comparison result, calculates the weights of the fault parameters and the rock formation parameters in the frequency of earthquakes at the source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor;

[0008] The feedback module sets the sub-graph including the moving trajectory as the sub-graph to be analyzed, obtains the sub-graph number corresponding to the source position closest to the historical earthquake time, sets the sub-graph number corresponding to the source position closest to the historical earthquake time as the adjacent sub-graph, sets the sub-graph to be analyzed near the adjacent sub-graph as the dangerous sub-graph, obtains the concentration level corresponding to the dangerous sub-graph, calculates the seismic susceptibility factor corresponding to the dangerous sub-graph, issues a warning signal according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, and displays warning lights of different brightness and colors.

[0009] As a preferred solution of the earthquake monitoring system described in the present invention, the data acquisition module acquires the historical earthquake time, the corresponding magnitude, the source location and the frequency of earthquakes at the source location, fault parameters and rock formation parameters of the area to be monitored;

[0010] The earthquake source position is expressed by longitude and latitude, the fault parameters include fault type, fault shape, slip amount and slip direction, and the rock formation parameters include rock type, rock formation thickness, rock formation shape and rock strength.

[0011] As a preferred solution of an earthquake monitoring system described in the present invention, the data analysis module uses the source position as the trajectory point, connects adjacent trajectory points with straight lines in the order of historical earthquake time, and marks moving arrows. The direction of the moving arrows is the sequential direction of the trajectory points corresponding to the historical earthquake time, and a trajectory straight line graph is obtained, and the trajectory straight line graph is set as the source movement graph.

[0012] As a preferred solution of an earthquake monitoring system described in the present invention, the data analysis module uses the source position as the trajectory point, connects adjacent trajectory points with straight lines in the order of historical earthquake time, and marks moving arrows. The direction of the moving arrows is the sequential direction of the trajectory points corresponding to the historical earthquake time, and a trajectory straight line graph is obtained, and the trajectory straight line graph is set as the source movement graph.

[0013] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the data analysis module fits the earthquake source movement diagram by the least square method to obtain the movement trajectory equation;

[0014] The epicenter locations are numbered according to the time sequence of historical earthquakes, wherein the numbers are natural numbers;

[0015] The earthquake affected range is marked on the earthquake source movement map according to the corresponding magnitude. The earthquake affected range is represented by a circle. The magnitude includes microseismic, weak earthquake, moderately strong earthquake and strong earthquake. The diameter of the microseismic affected range is the third value, the diameter of the weak earthquake affected range is the fourth value, the diameter of the moderately strong earthquake affected range is the fifth value, and the diameter of the strong earthquake affected range is the sixth value, wherein the third value, the fourth value, the fifth value and the sixth value increase in sequence.

[0016] As a preferred solution of the earthquake monitoring system described in the present invention, the data analysis module sets the size of the cutting frame, the cutting frame is a square, the side length of the square is the common divisor of the minimum value of adjacent trajectory points, and the marked source movement map is divided to obtain sub-maps;

[0017] The data analysis module numbers the sub-images, wherein the numbers are natural numbers, extracts the feature quantities of the numbered sub-images, wherein the feature quantities of the numbered sub-images are shape features, obtains a standard circle segmentation image, extracts the feature quantities of the standard circle segmentation image, calculates the similarity between the feature quantities of the numbered sub-images and the feature quantities of the standard circle segmentation image, sorts the similarities in descending order, obtains the similarity with the largest value, and uses the area of ​​the standard circle segmentation image corresponding to the similarity with the largest value as the area of ​​the earthquake wave range contained in the sub-image; when all the similarities are less than the seventh value, the area of ​​the earthquake wave range contained in the sub-image is set to 0;

[0018] The first value and the second value are set as the first ratio threshold and the second ratio threshold respectively, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is calculated, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is compared with the first value and the second value respectively to obtain a first comparison result, the first comparison result includes that the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is greater than or equal to the first value, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the first value and greater than or equal to the second value, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the second value, and the concentration level is divided according to the first comparison result, the concentration level includes a first concentration level, a second concentration level and a third concentration level, and the concentration levels correspond to the first comparison results in sequence.

[0019] As a preferred solution of the earthquake monitoring system described in the present invention, the data analysis module calculates the weights of fault parameters and rock formation parameters in the frequency of earthquakes at the source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor. The weights are obtained according to multivariate regression analysis, and the calculation logic of the weights includes:

[0020] The frequency of earthquakes at the source location is taken as the dependent variable, and the fault parameters and rock formation parameters are taken as the independent variables. Multiple regression analysis is performed, and the coefficients of fault parameters and rock formation parameters are taken as the corresponding weights.

[0021] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the feedback module sets the sub-graph including the moving trajectory as the sub-graph to be analyzed, and obtains the sub-graph number corresponding to the source position closest to the historical earthquake time, and the closest means that the interval between the historical earthquake time and the current time is the smallest;

[0022] The sub-graph number corresponding to the source location closest to the historical earthquake time is set as the adjacent sub-graph, the sub-graph to be analyzed near the adjacent sub-graph is set as the dangerous sub-graph, the concentration level corresponding to the dangerous sub-graph is obtained, the seismic susceptibility factor corresponding to the dangerous sub-graph is calculated, and an early warning signal is issued according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, the early warning signal includes a first early warning signal, a second early warning signal, a third early warning signal, a fourth early warning signal, a fifth early warning signal and a sixth early warning signal, and early warning lights of different brightness and colors are displayed.

[0023] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the feedback module sets the eighth value as the seismic factor threshold value;

[0024] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a first warning signal is issued and a warning light of a first brightness and a first color is displayed;

[0025] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a second warning signal is issued and a warning light of a second brightness and a second color is displayed;

[0026] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a third warning signal is issued and a warning light of a third brightness and a third color is displayed;

[0027] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a fourth warning signal is issued and a warning light of a fourth brightness and a fourth color is displayed;

[0028] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a fifth warning signal is issued and a warning light of the fifth brightness and the fifth color is displayed;

[0029] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is less than the seismic susceptibility factor threshold, a sixth warning signal is issued and a warning light of a sixth brightness and a sixth color is displayed.

[0030] In a second aspect, the present invention provides an electronic device comprising a memory, a processor and storage in the memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in any one of the systems described above are executed.

[0031] In a third aspect, the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in the system described in any one of the above items are executed.

[0032] The beneficial effects of the present invention are as follows: by constructing a source movement map through historical data and combining it with real-time data analysis, the system can more accurately predict the possibility of an earthquake and the scope of its impact, thereby improving the timeliness and accuracy of the early warning, and can update and analyze the source location and its movement trajectory in real time, adjust the early warning strategy, and improve the response capability to earthquake activities. By calculating the seismic susceptibility factor and concentration level, the earthquake risk of each region can be evaluated, and corresponding early warning signals can be issued for regions with different risk levels to achieve more refined early warning services. Early warning lights of different brightness and colors can intuitively display the earthquake risk level, so that relevant departments can quickly understand the current earthquake threat and take necessary preventive measures. A comprehensive analysis combined with historical earthquake data, fault parameters and rock formation parameters can provide a more comprehensive risk assessment, and consider multiple factors to improve the scientificity and reliability of the early warning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of a basic flow chart of an earthquake monitoring system provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0035] Example 1, reference Figure 1 , is an embodiment of the present invention, and provides an earthquake monitoring system, including a data acquisition module, a data analysis module and a feedback module:

[0036] The data acquisition module is used to obtain the historical earthquake time, corresponding magnitude, source location and frequency of earthquakes at the source location, fault parameters and rock formation parameters of the area to be tested;

[0037] The data analysis module constructs a source movement map according to the historical earthquake time and source location, obtains the movement trajectory according to the source movement map, numbers the source location according to the historical earthquake time sequence, marks the earthquake impact range on the source movement map according to the corresponding magnitude, sets the cutting frame size, divides the marked source movement map to obtain sub-maps, numbers the sub-maps, obtains the area of ​​the earthquake impact range contained in the sub-maps, calculates the ratio of the area of ​​the earthquake impact range contained in the sub-maps to the area of ​​the cutting frame, compares the ratio with the first value and the second value to obtain a first comparison result, divides the concentration level according to the first comparison result, calculates the weights of the fault parameters and the rock formation parameters in the frequency of earthquakes at the source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor;

[0038] The feedback module sets the sub-graph including the moving trajectory as the sub-graph to be analyzed, obtains the sub-graph number corresponding to the source position closest to the historical earthquake time, sets the sub-graph number corresponding to the source position closest to the historical earthquake time as the adjacent sub-graph, sets the sub-graph to be analyzed near the adjacent sub-graph as the dangerous sub-graph, obtains the concentration level corresponding to the dangerous sub-graph, calculates the seismic susceptibility factor corresponding to the dangerous sub-graph, issues a warning signal according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, and displays warning lights of different brightness and colors.

[0039] The present invention constructs a source movement map through historical data, and combines it with real-time data analysis. The system can more accurately predict the possibility and impact range of an earthquake, thereby improving the timeliness and accuracy of the early warning, and can update and analyze the source location and its movement trajectory in real time, adjust the early warning strategy, and improve the response capability to seismic activities. By calculating the seismic susceptibility factor and concentration level, the earthquake risk of each region can be evaluated, and corresponding early warning signals can be issued for regions with different risk levels to achieve more refined early warning services. Early warning lights of different brightness and colors can intuitively display the earthquake risk level, so that relevant departments can quickly understand the current earthquake threat and take necessary preventive measures. A comprehensive analysis combined with historical earthquake data, fault parameters and rock formation parameters can provide a more comprehensive risk assessment, and consider multiple factors to improve the scientificity and reliability of the early warning system.

[0040] The data acquisition module acquires the historical earthquake time, corresponding magnitude, focal location and frequency of earthquakes at the focal location, fault parameters and rock formation parameters of the area to be tested;

[0041] The earthquake source position is expressed by longitude and latitude, the fault parameters include fault type, fault shape, slip amount and slip direction, and the rock formation parameters include rock type, rock formation thickness, rock formation shape and rock strength.

[0042] In specific implementation, obtaining information such as the time, magnitude, and source location of historical earthquakes in the area to be tested will help to establish a more accurate earthquake activity model, analyze the pattern and frequency of earthquakes, and record in detail parameters such as the fault type, shape, slip amount, and the type, thickness, shape, and strength of the rock formation, making earthquake risk assessment more comprehensive and accurate. Understanding the specific characteristics of faults and rock formations can help predict the occurrence and impact of earthquakes.

[0043] The data analysis module uses the earthquake source position as the trajectory point, connects adjacent trajectory points with straight lines in the order of historical earthquake time, and marks movement arrows. The direction of the movement arrows is the sequential direction of the trajectory points corresponding to the historical earthquake time, and a trajectory straight line graph is obtained, which is set as the earthquake source movement graph.

[0044] In specific implementation, by connecting the source positions with straight lines and marking moving arrows, the resulting trajectory straight line graph provides an intuitive visual representation of the changes in the source positions, making the pattern of source movement clear at a glance. Connecting the trajectory points in chronological order of historical earthquakes helps to reveal the trend and pattern of source movement, facilitating the analysis of the evolution history of the source positions and the prediction of possible future earthquake activities.

[0045] The data analysis module fits the earthquake source movement diagram by the least square method to obtain the movement trajectory equation;

[0046] The epicenter locations are numbered according to the time sequence of historical earthquakes, wherein the numbers are natural numbers;

[0047] The earthquake affected range is marked on the earthquake source movement map according to the corresponding magnitude. The earthquake affected range is represented by a circle. The magnitude includes microseismic, weak earthquake, moderately strong earthquake and strong earthquake. The diameter of the microseismic affected range is the third value, the diameter of the weak earthquake affected range is the fourth value, the diameter of the moderately strong earthquake affected range is the fifth value, and the diameter of the strong earthquake affected range is the sixth value, wherein the third value, the fourth value, the fifth value and the sixth value increase in sequence.

[0048] In specific implementation, the least squares method is used to fit the earthquake source movement diagram, which can accurately describe the changing trend of the earthquake source position, provide mathematical model support for further analysis, label the earthquake source position in chronological order of historical earthquakes, and systematically manage and track the earthquake source position to facilitate the analysis and comparison of historical data. The earthquake impact range of different magnitudes is represented by a circle, and different diameters are set according to the magnitude, so that the earthquake impact range is clear at a glance, and the size and intensity of the earthquake impact are intuitively displayed.

[0049] The data analysis module sets the size of the cutting frame, the cutting frame is a square, the side length of the square is the common divisor of the minimum values ​​of adjacent trajectory points, and divides the marked source motion map to obtain sub-maps;

[0050] The data analysis module numbers the sub-images, wherein the numbers are natural numbers, extracts the feature quantities of the numbered sub-images, wherein the feature quantities of the numbered sub-images are shape features, obtains a standard circle segmentation image, extracts the feature quantities of the standard circle segmentation image, calculates the similarity between the feature quantities of the numbered sub-images and the feature quantities of the standard circle segmentation image, sorts the similarities in descending order, obtains the similarity with the largest value, and uses the area of ​​the standard circle segmentation image corresponding to the similarity with the largest value as the area of ​​the earthquake wave range contained in the sub-image; when all the similarities are less than the seventh value, the area of ​​the earthquake wave range contained in the sub-image is set to 0;

[0051] The first value and the second value are set as the first ratio threshold and the second ratio threshold respectively, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is calculated, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is compared with the first value and the second value respectively to obtain a first comparison result, the first comparison result includes that the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is greater than or equal to the first value, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the first value and greater than or equal to the second value, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the second value, and the concentration level is divided according to the first comparison result, the concentration level includes a first concentration level, a second concentration level and a third concentration level, and the concentration levels correspond to the first comparison results in sequence.

[0052] In a specific implementation, by setting a square cutting frame, the earthquake source movement map can be subdivided into multiple sub-maps, which is convenient for detailed analysis of local features. The feature quantity of the sub-map is compared with the feature quantity of the standard circle segmentation image, so that the measurement of the earthquake impact range is more standardized and consistent. The earthquake impact range in the sub-map is determined based on the area of ​​the standard circle image corresponding to the maximum similarity, which helps to more accurately evaluate the actual impact range. By comparing the ratio of the earthquake impact range to the cutting frame area with a preset threshold, the concentration degree of seismic activity can be effectively evaluated and different concentration levels can be divided. The concentration level is divided according to the ratio comparison result, which helps to identify high-density areas of earthquake source activity, thereby conducting more accurate risk assessment. The entire process is automated, which reduces manual intervention and improves the efficiency and accuracy of data processing.

[0053] The data analysis module calculates the weights of fault parameters and rock formation parameters in the frequency of earthquakes at the epicenter location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor. The weights are obtained according to multivariate regression analysis, and the calculation logic of the weights includes:

[0054] The frequency of earthquakes at the source location is taken as the dependent variable, and the fault parameters and rock formation parameters are taken as the independent variables. Multiple regression analysis is performed, and the coefficients of fault parameters and rock formation parameters are taken as the corresponding weights.

[0055] The feedback module sets the subgraph including the moving trajectory as the subgraph to be analyzed, and obtains the subgraph number corresponding to the source location closest to the historical earthquake time, wherein the closest means that the interval between the historical earthquake time and the current time is the smallest;

[0056] The sub-graph number corresponding to the source location closest to the historical earthquake time is set as the adjacent sub-graph, the sub-graph to be analyzed near the adjacent sub-graph is set as the dangerous sub-graph, the concentration level corresponding to the dangerous sub-graph is obtained, the seismic susceptibility factor corresponding to the dangerous sub-graph is calculated, and an early warning signal is issued according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, the early warning signal includes a first early warning signal, a second early warning signal, a third early warning signal, a fourth early warning signal, a fifth early warning signal and a sixth early warning signal, and early warning lights of different brightness and colors are displayed.

[0057] The feedback module sets the eighth value as the earthquake susceptibility factor threshold value respectively;

[0058] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a first warning signal is issued and a warning light of a first brightness and a first color is displayed;

[0059] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a second warning signal is issued and a warning light of a second brightness and a second color is displayed;

[0060] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a third warning signal is issued and a warning light of a third brightness and a third color is displayed;

[0061] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a fourth warning signal is issued and a warning light of a fourth brightness and a fourth color is displayed;

[0062] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a fifth warning signal is issued and a warning light of the fifth brightness and the fifth color is displayed;

[0063] When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is less than the seismic susceptibility factor threshold, a sixth warning signal is issued and a warning light of a sixth brightness and a sixth color is displayed.

[0064] In specific implementation, by obtaining the sub-map number of the epicenter location closest to the historical earthquake time, and using this as a basis to identify and analyze the current danger zone, it is possible to quickly capture the earthquake activity most relevant to the current time, thereby improving the real-time nature of the early warning. By setting the sub-map to be analyzed near the adjacent sub-map as a danger sub-map, it is possible to accurately identify potential high-risk areas, which is helpful for issuing targeted early warning signals. By obtaining the concentration level corresponding to the danger sub-map and combining it with the calculation of the seismic susceptibility factor, the density of the epicenter and the possibility of an earthquake can be comprehensively considered to provide a more accurate risk assessment. Through warning lights of different brightness and color, the warning level can be intuitively displayed, allowing relevant personnel to quickly identify the urgency of the warning. By combining the concentration level, seismic susceptibility factor and graded warning signals, comprehensive early warning information is provided for earthquake prevention and disaster reduction.

[0065] The present invention constructs a source movement map through historical data, and combines it with real-time data analysis. The system can more accurately predict the possibility and impact range of an earthquake, thereby improving the timeliness and accuracy of the early warning, and can update and analyze the source location and its movement trajectory in real time, adjust the early warning strategy, and improve the response capability to seismic activities. By calculating the seismic susceptibility factor and concentration level, the earthquake risk of each region can be evaluated, and corresponding early warning signals can be issued for regions with different risk levels to achieve more refined early warning services. Early warning lights of different brightness and colors can intuitively display the earthquake risk level, so that relevant departments can quickly understand the current earthquake threat and take necessary preventive measures. A comprehensive analysis combined with historical earthquake data, fault parameters and rock formation parameters can provide a more comprehensive risk assessment, and consider multiple factors to improve the scientificity and reliability of the early warning system.

[0066] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An earthquake monitoring system, characterized in that: Including data acquisition module, data analysis module and feedback module: The data acquisition module is used to obtain the historical earthquake time, corresponding magnitude, source location and frequency of earthquakes at the source location, fault parameters and rock formation parameters of the area to be tested; The data analysis module constructs a source movement map according to the historical earthquake time and source location, obtains the movement trajectory according to the source movement map, numbers the source location according to the historical earthquake time sequence, marks the earthquake impact range on the source movement map according to the corresponding magnitude, sets the cutting frame size, divides the marked source movement map to obtain sub-maps, numbers the sub-maps, obtains the area of ​​the earthquake impact range contained in the sub-maps, calculates the ratio of the area of ​​the earthquake impact range contained in the sub-maps to the area of ​​the cutting frame, compares the ratio with the first value and the second value to obtain a first comparison result, divides the concentration level according to the first comparison result, calculates the weights of the fault parameters and the rock formation parameters in the frequency of earthquakes at the source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor; The feedback module sets the sub-graph including the moving trajectory as the sub-graph to be analyzed, obtains the sub-graph number corresponding to the source position closest to the historical earthquake time, sets the sub-graph number corresponding to the source position closest to the historical earthquake time as the adjacent sub-graph, sets the sub-graph to be analyzed near the adjacent sub-graph as the dangerous sub-graph, obtains the concentration level corresponding to the dangerous sub-graph, calculates the seismic susceptibility factor corresponding to the dangerous sub-graph, issues a warning signal according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, and displays warning lights of different brightness and colors.

2. An earthquake monitoring system as claimed in claim 1, characterized in that: The data acquisition module acquires the historical earthquake time, corresponding magnitude, focal location and frequency of earthquakes at the focal location, fault parameters and rock formation parameters of the area to be tested; The earthquake source position is expressed by longitude and latitude, the fault parameters include fault type, fault shape, slip amount and slip direction, and the rock formation parameters include rock type, rock formation thickness, rock formation shape and rock strength.

3. An earthquake monitoring system as claimed in claim 1, characterized in that: The data analysis module uses the earthquake source position as the trajectory point, connects adjacent trajectory points with straight lines in the order of historical earthquake time, and marks movement arrows. The direction of the movement arrows is the sequential direction of the trajectory points corresponding to the historical earthquake time, and a trajectory straight line graph is obtained, which is set as the earthquake source movement graph.

4. An earthquake monitoring system as claimed in claim 3, characterized in that: The data analysis module fits the earthquake source movement diagram by the least square method to obtain the movement trajectory equation; The epicenter locations are numbered according to the time sequence of historical earthquakes, wherein the numbers are natural numbers; The earthquake affected range is marked on the earthquake source movement map according to the corresponding magnitude. The earthquake affected range is represented by a circle. The magnitude includes microseismic, weak earthquake, moderately strong earthquake and strong earthquake. The diameter of the microseismic affected range is the third value, the diameter of the weak earthquake affected range is the fourth value, the diameter of the moderately strong earthquake affected range is the fifth value, and the diameter of the strong earthquake affected range is the sixth value, wherein the third value, the fourth value, the fifth value and the sixth value increase in sequence.

5. An earthquake monitoring system as claimed in claim 3, characterized in that: The data analysis module sets the size of the cutting frame, the cutting frame is a square, the side length of the square is the common divisor of the minimum values ​​of adjacent trajectory points, and divides the marked source motion map to obtain sub-maps; The data analysis module numbers the sub-images, wherein the numbers are natural numbers, extracts the feature quantities of the numbered sub-images, wherein the feature quantities of the numbered sub-images are shape features, obtains a standard circle segmentation image, extracts the feature quantities of the standard circle segmentation image, calculates the similarity between the feature quantities of the numbered sub-images and the feature quantities of the standard circle segmentation image, sorts the similarities in descending order, obtains the similarity with the largest value, and uses the area of ​​the standard circle segmentation image corresponding to the similarity with the largest value as the area of ​​the earthquake wave range contained in the sub-image; when all the similarities are less than the seventh value, the area of ​​the earthquake wave range contained in the sub-image is set to 0; The first value and the second value are set as the first ratio threshold and the second ratio threshold respectively, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is calculated, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is compared with the first value and the second value respectively to obtain a first comparison result, the first comparison result includes that the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is greater than or equal to the first value, the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the first value and greater than or equal to the second value, and the ratio of the area of ​​the seismic affected range contained in the sub-graph to the area of ​​the cutting frame is less than the second value, and the concentration level is divided according to the first comparison result, the concentration level includes a first concentration level, a second concentration level and a third concentration level, and the concentration levels correspond to the first comparison results in sequence.

6. An earthquake monitoring system as claimed in claim 5, characterized in that: The data analysis module calculates the weights of fault parameters and rock formation parameters in the frequency of earthquakes at the epicenter location, calculates the average value of the weights, and sets the average value of the weights as the earthquake susceptibility factor. The weights are obtained according to multivariate regression analysis, and the calculation logic of the weights includes: The frequency of earthquakes at the source location is taken as the dependent variable, and the fault parameters and rock formation parameters are taken as the independent variables. Multiple regression analysis is performed, and the coefficients of fault parameters and rock formation parameters are taken as the corresponding weights.

7. An earthquake monitoring system as claimed in claim 1, characterized in that: The feedback module sets the subgraph including the moving trajectory as the subgraph to be analyzed, and obtains the subgraph number corresponding to the source location closest to the historical earthquake time, wherein the closest means that the interval between the historical earthquake time and the current time is the smallest; The sub-graph number corresponding to the source location closest to the historical earthquake time is set as the adjacent sub-graph, the sub-graph to be analyzed near the adjacent sub-graph is set as the dangerous sub-graph, the concentration level corresponding to the dangerous sub-graph is obtained, the seismic susceptibility factor corresponding to the dangerous sub-graph is calculated, and an early warning signal is issued according to the concentration level corresponding to the dangerous sub-graph and the seismic susceptibility factor corresponding to the dangerous sub-graph, the early warning signal includes a first early warning signal, a second early warning signal, a third early warning signal, a fourth early warning signal, a fifth early warning signal and a sixth early warning signal, and early warning lights of different brightness and colors are displayed.

8. An earthquake monitoring system as claimed in claim 7, characterized in that: The feedback module sets the eighth value as the earthquake susceptibility factor threshold value respectively; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a first warning signal is issued and a warning light of a first brightness and a first color is displayed; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the first concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a second warning signal is issued and a warning light of a second brightness and a second color is displayed; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a third warning signal is issued and a warning light of a third brightness and a third color is displayed; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-graph is at the second concentration level and the seismic susceptibility factor corresponding to the dangerous sub-graph is less than the seismic susceptibility factor threshold, a fourth warning signal is issued and a warning light of a fourth brightness and a fourth color is displayed; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is greater than or equal to the seismic susceptibility factor threshold, a fifth warning signal is issued and a warning light of the fifth brightness and the fifth color is displayed; When the concentration of the seismic susceptibility factor corresponding to the dangerous sub-map is at the third concentration level and the seismic susceptibility factor corresponding to the dangerous sub-map is less than the seismic susceptibility factor threshold, a sixth warning signal is issued and a warning light of a sixth brightness and a sixth color is displayed.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, an earthquake monitoring system as described in any one of claims 1-8 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, an earthquake monitoring system according to any one of claims 1 to 8 is implemented.

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