An earthquake monitoring system

Abstract

The present invention discloses a seismic monitoring system, which relates to the technical field of intelligent monitoring. The system includes a data acquisition module, a data analysis module, and a feedback module. A source movement map is constructed to obtain a movement trajectory, and sub-maps are cut. The ratio of the area of the seismic wave range contained in the sub-map to the area of the cutting frame is calculated, the concentration level is divided, the earthquake-prone factor is calculated, the concentration level corresponding to the dangerous sub-map is obtained, the earthquake-prone factor corresponding to the dangerous sub-map is calculated, a warning signal is issued, and warning lights of different brightness and different colors are displayed. By constructing a source movement map through historical data, the present invention improves the timeliness and accuracy of early warning, analyzes the source position and its movement trajectory, improves the response ability to seismic activities, issues corresponding warning signals for different risk-level regions, realizes a more refined early warning service, intuitively displays the seismic risk level, can provide a more comprehensive risk assessment, and improves the scientificity and reliability of the early warning system.

Description

Technical Field

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

[0002] In recent years, intelligent early warning technology has been continuously developed. In earthquake-prone areas, a high-density seismic network can capture the propagation characteristics of seismic waves more precisely, improve the monitoring accuracy and coverage, and with automated data processing technology, the speed and accuracy of earthquake information processing have been improved. It can analyze a large amount of seismic data, identify earthquake precursors, predict the probability of earthquake occurrence, significantly improve the ability of earthquake monitoring and early warning, make the earthquake early warning system more accurate and timely, and effectively reduce the losses caused by earthquakes.

[0003] Currently, in a Chinese invention patent with the publication number CN 109061719 B, a method for predicting earthquakes is disclosed. This method records the continuously appearing similar-shaped peaks and valleys in the curve by comparing each peak and valley in the curve, matches the corresponding epicenter positions, and calculates the magnitude of the earthquake area based on the number of peaks or valleys in the curve. However, in the related technology, earthquakes are not predicted in advance, the system lacks foresight, which is not conducive to preventing risks in advance, and different warning signals are not issued according to the different degrees of predicted earthquakes, lacking the hierarchy of prediction. Summary of the Invention

[0004] The technical problem solved by the present invention is that in the related technology, earthquakes are not predicted in advance, the system lacks foresight, which is not conducive to preventing risks in advance, different warning signals are not issued according to the different degrees of predicted earthquakes, and the hierarchy of prediction is lacking.

[0005] To solve the above technical problem, the present invention provides the following technical solutions: In the first aspect, a seismic monitoring system includes a data acquisition module, a data analysis module, and a feedback module:

[0006] The data acquisition module is used to acquire the historical earthquake time, the corresponding magnitude, the epicenter position, the frequency of earthquakes at the epicenter position, the fault parameters, and the rock formation parameters of the area to be measured.

[0007] The data analysis module constructs a source movement map based on historical earthquake times and source locations, obtains the movement trajectory from the source movement map, numbers the source locations in the order of historical earthquake times, marks the earthquake affected 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 affected range included in the sub - maps, calculates the ratio of the area of the earthquake affected range included in the sub - maps to the area of the cutting frame, compares the ratio with a first value and a 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 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 - prone factor;

[0008] The feedback module sets the sub - map including the movement trajectory as the sub - map to be analyzed, obtains the sub - map number corresponding to the source location with the closest historical earthquake time, sets the sub - map number corresponding to the source location with the closest historical earthquake time as the adjacent sub - map, sets the sub - maps to be analyzed near the adjacent sub - map as dangerous sub - maps, obtains the concentration level corresponding to the dangerous sub - maps, calculates the earthquake - prone factor corresponding to the dangerous sub - maps, and issues a warning signal according to the concentration level corresponding to the dangerous sub - maps and the earthquake - prone factor corresponding to the dangerous sub - maps, and displays warning lights with different brightness and colors.

[0009] As a preferred solution of an earthquake monitoring system according to the present invention, wherein: the data acquisition module acquires the historical earthquake times, corresponding magnitudes, source locations, the frequency of earthquakes at the source location, fault parameters and rock formation parameters of the area to be measured;

[0010] The source location is represented by longitude and latitude. The fault parameters include fault type, fault shape, slip amount and slip direction. 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 according to the present invention, wherein: the data analysis module takes the source location as a trajectory point, connects adjacent trajectory points with a straight line in the order of historical earthquake times, and marks a movement arrow. The direction of the movement arrow is the order direction of the trajectory points corresponding to the historical earthquake times, obtains a trajectory straight - line map, and sets the trajectory straight - line map as the source movement map.

[0012] As a preferred solution of an earthquake monitoring system according to the present invention, wherein: the data analysis module fits the source movement map by the least - squares method to obtain a movement trajectory equation;

[0013] The source locations are numbered in the order of historical earthquake times, and the numbers are natural numbers;

[0014] Mark the earthquake affected area on the source movement map according to the corresponding magnitude. The earthquake affected area is represented by a circle. The magnitudes include microearthquakes, minor earthquakes, moderately strong earthquakes, and strong earthquakes. The diameter of the affected area of a microearthquake is the third value, the diameter of the affected area of a minor earthquake is the fourth value, the diameter of the affected area of a moderately strong earthquake is the fifth value, and the diameter of the affected area of a strong earthquake is the sixth value. Among them, the third value, the fourth value, the fifth value, and the sixth value increase in sequence.

[0015] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the data analysis module sets the size of the cutting frame. The cutting frame is a square, and the side length of the square is the greatest common divisor of the lengths of the straight lines connecting adjacent trajectory points. The marked source movement map is segmented to obtain sub - maps.

[0016] The data analysis module numbers the sub - maps. The numbers are natural numbers. The characteristic quantity of the numbered sub - map is the shape characteristic. A standard circle - segmented image is obtained, and the characteristic quantity of the standard circle - segmented image is extracted. The similarity between the characteristic quantity of the numbered sub - map and the characteristic quantity of the standard circle - segmented image is calculated. The similarities are sorted in descending order, and the similarity with the largest value is obtained. The area of the standard circle - segmented image corresponding to the similarity with the largest value is used as the area of the earthquake affected area included in the sub - map. When all similarities are less than the seventh value, the area of the earthquake affected area included in the sub - map is set to 0.

[0017] The first value and the second value are respectively set as the first ratio threshold and the second ratio threshold. The ratio of the area of the earthquake affected area included in the sub - map to the area of the cutting frame is calculated. The ratio of the area of the earthquake affected area included in the sub - map to the area of the cutting frame is respectively compared with the first value and the second value to obtain the first comparison result. The first comparison result includes that the ratio of the area of the earthquake affected area included in the sub - map to the area of the cutting frame is greater than or equal to the first value, the ratio of the area of the earthquake affected area included in the sub - map 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 earthquake affected area included in the sub - map to the area of the cutting frame is less than the second value. The concentration level is divided according to the first comparison result. The concentration levels include the first concentration level, the second concentration level, and the third concentration level. The concentration levels correspond to the first comparison result in sequence.

[0018] [[ID=】]

[0019] ​Use the frequency of earthquakes at the source location as the dependent variable, and use fault parameters and rock formation parameters as independent variables for multiple regression analysis. Take the coefficients of the fault parameters and rock formation parameters as the corresponding weights.

[0020] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the feedback module sets the sub-graph including the movement trajectory as the sub-graph to be analyzed, and obtains the sub-graph number corresponding to the source location closest to the historical earthquake time. The "closest" means that the time interval between the historical earthquake time and the current time is the smallest.

[0021] Set the sub-graph number corresponding to the source location closest to the historical earthquake time as the adjacent sub-graph, set the sub-graphs to be analyzed near the adjacent sub-graph as dangerous sub-graphs, obtain the concentration level corresponding to the dangerous sub-graphs, calculate the earthquake-prone factors corresponding to the dangerous sub-graphs, and issue warning signals according to the concentration level corresponding to the dangerous sub-graphs and the earthquake-prone factors corresponding to the dangerous sub-graphs. The warning signals include the first warning signal, the second warning signal, the third warning signal, the fourth warning signal, the fifth warning signal, and the sixth warning signal, and display warning lights of different brightness and different colors.

[0022] As a preferred solution of the earthquake monitoring system described in the present invention, wherein: the feedback module respectively sets the eighth value as the earthquake-prone factor threshold.

[0023] When the concentration of the earthquake-prone factor corresponding to the dangerous sub-graph is the first concentration level and the earthquake-prone factor corresponding to the dangerous sub-graph is greater than or equal to the earthquake-prone factor threshold, issue the first warning signal and display the warning light of the first brightness and the first color.

[0024] When the concentration of the earthquake-prone factor corresponding to the dangerous sub-graph is the first concentration level and the earthquake-prone factor corresponding to the dangerous sub-graph is less than the earthquake-prone factor threshold, issue the second warning signal and display the warning light of the second brightness and the second color.

[0025] When the concentration of the earthquake-prone factor corresponding to the dangerous sub-graph is the second concentration level and the earthquake-prone factor corresponding to the dangerous sub-graph is greater than or equal to the earthquake-prone factor threshold, issue the third warning signal and display the warning light of the third brightness and the third color.

[0026] When the concentration of the earthquake-prone factor corresponding to the dangerous sub-graph is the second concentration level and the earthquake-prone factor corresponding to the dangerous sub-graph is less than the earthquake-prone factor threshold, issue the fourth warning signal and display the warning light of the fourth brightness and the fourth color.

[0027] When the concentration of the earthquake-prone factor corresponding to the dangerous sub-graph is the third concentration level and the earthquake-prone factor corresponding to the dangerous sub-graph is greater than or equal to the earthquake-prone factor threshold, issue the fifth warning signal and display the warning light of the fifth brightness and the fifth color.

[0028] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is at the third concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is less than the earthquake-prone factor threshold, the sixth warning signal is issued, and a warning light with the sixth brightness and the sixth color is displayed.

[0029] In a second aspect, the present invention provides an electronic device, including a storage, a processor, and a computer-readable instruction stored in the storage. When the computer-readable instruction is executed by the processor, the steps in the system described above are run.

[0030] In a third aspect, the present invention provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the system described above are run.

[0031] The beneficial effects of the present invention: By constructing a seismic source movement map with historical data and combining real-time data analysis, the system can more accurately predict the possibility and influence range of an earthquake, thereby improving the timeliness and accuracy of early warning. It can update and analyze the seismic source position and its movement trajectory in real time, adjust the early warning strategy, and improve the response ability to seismic activities. By calculating the earthquake-prone factor and the concentration level, the seismic risk of each region can be evaluated, and corresponding warning signals are issued for regions with different risk levels to achieve a more refined early warning service. Warning lights with different brightness and colors can intuitively display the seismic risk level, enabling relevant departments to quickly understand the current earthquake threat and take necessary preventive measures. By comprehensively analyzing historical earthquake data, fault parameters, and rock formation parameters, a more comprehensive risk assessment can be provided, and considering multiple factors improves the scientificity and reliability of the early warning system. Description of the Drawings

[0032] Figure 1 It is a schematic diagram of the basic process of a seismic monitoring system provided by an embodiment of the present invention. Detailed Embodiments

[0033] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention is made in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments.

[0034] Embodiment 1, referring to Figure 1 , which is an embodiment of the present invention, provides a seismic monitoring system, including a data acquisition module, a data analysis module, and a feedback module:

[0035] The data acquisition module is used to acquire the historical earthquake time, the corresponding magnitude, the seismic source position, the frequency of earthquakes at the seismic source position, the fault parameters, and the rock formation parameters of the area to be measured;

[0036] The data analysis module constructs a source movement map based on historical earthquake times and source locations, obtains the movement trajectory from the source movement map, numbers the source locations in chronological order of historical earthquake times, marks the earthquake affected areas on the source movement map according to the corresponding magnitudes, 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 affected areas included in the sub - maps, calculates the ratio of the area of the earthquake affected areas included in the sub - maps to the area of the cutting frame, compares the ratio with a first value and a 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 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 - prone factor;

[0037] The feedback module sets the sub - map including the movement trajectory as the sub - map to be analyzed, obtains the sub - map number corresponding to the source location with the closest historical earthquake time, sets the sub - map number corresponding to the source location with the closest historical earthquake time as the adjacent sub - map, sets the sub - maps to be analyzed near the adjacent sub - map as dangerous sub - maps, obtains the concentration level corresponding to the dangerous sub - maps, calculates the earthquake - prone factor corresponding to the dangerous sub - maps, issues a warning signal according to the concentration level corresponding to the dangerous sub - maps and the earthquake - prone factor corresponding to the dangerous sub - maps, and displays warning lights of different brightness and colors.

[0038] The present invention constructs a source movement map through historical data and combines real - time data analysis. The system can more accurately predict the possibility and influence range of earthquake occurrence, thereby improving the timeliness and accuracy of early warning. It can update and analyze the source location and its movement trajectory in real time, adjust the early warning strategy, and improve the response ability to seismic activities. By calculating the earthquake - prone factor and concentration level, it can evaluate the seismic risks of different regions, issue corresponding warning signals for regions with different risk levels, and achieve a more refined early warning service. Warning lights of different brightness and colors can visually display the seismic risk level, enabling relevant departments to quickly understand the current earthquake threat and take necessary preventive measures. Combining historical earthquake data, fault parameters, and rock formation parameters for comprehensive analysis can provide a more comprehensive risk assessment and improve the scientificity and reliability of the early warning system by considering multiple factors.

[0039] The data acquisition module acquires the historical earthquake times, corresponding magnitudes, source locations, the frequency of earthquakes at the source location, fault parameters, and rock formation parameters of the area to be measured;

[0040] The source location is represented by longitude and latitude. The fault parameters include fault type, fault shape, slip amount, and slip direction. The rock formation parameters include rock type, rock formation thickness, rock formation shape, and rock strength.

[0041] In specific implementation, obtaining information such as the historical earthquake time, magnitude, and epicenter location of the area to be measured helps to establish a more accurate earthquake activity model, analyze the patterns and frequencies of earthquake occurrences, and detailedly record parameters such as the fault type, shape, slip amount, and the type, thickness, shape, and strength of rock layers, making the earthquake risk assessment more comprehensive and accurate. Understanding the specific characteristics of faults and rock layers can help predict the occurrence and impact of earthquakes.

[0042] The data analysis module takes the epicenter location as a 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 arrow is the order direction of the trajectory point corresponding to the historical earthquake time, obtaining a trajectory straight line graph, and sets the trajectory straight line graph as the epicenter movement graph.

[0043] In specific implementation, by connecting the epicenter locations with straight lines and marking moving arrows, the formed trajectory straight line graph provides an intuitive visual representation of the change in the epicenter location, making the pattern of epicenter movement clear at a glance. Connecting the trajectory points in the order of historical earthquake time helps to reveal the trend and pattern of epicenter movement, facilitating the analysis of the evolution history of the epicenter location and predicting future possible earthquake activities.

[0044] The data analysis module fits the epicenter movement graph by the least squares method to obtain a movement trajectory equation;

[0045] Number the epicenter locations in the order of historical earthquake time, and the numbers are natural numbers;

[0046] Mark the earthquake affected area on the epicenter movement graph according to the corresponding magnitude. The earthquake affected area is represented by a circle. The magnitudes include microearthquakes, weak earthquakes, moderately strong earthquakes, and strong earthquakes. The diameter of the affected area of microearthquakes is the third value, the diameter of the affected area of weak earthquakes is the fourth value, the diameter of the affected area of moderately strong earthquakes is the fifth value, and the diameter of the affected area of strong earthquakes is the sixth value. Among them, the third value, the fourth value, the fifth value, and the sixth value increase in sequence.

[0047] In specific implementation, fitting the epicenter movement graph by the least squares method can accurately describe the change trend of the epicenter location, providing a mathematical model support for further analysis. Numbering the epicenter locations in the order of historical earthquake time systematically manages and tracks the epicenter locations, facilitating the analysis and comparison of historical data. Representing the earthquake affected areas of different magnitudes by circles and setting different diameters according to different magnitudes makes the earthquake affected areas clear at a glance, intuitively showing the size and intensity of the earthquake impact.

[0048] The data analysis module sets the size of the cutting frame. The cutting frame is a square, and the side length of the square is the greatest common divisor of the lengths of the straight lines connecting adjacent trajectory points, and divides the marked epicenter movement graph to obtain subgraphs;

[0049] The data analysis module numbers the sub - graphs, where the numbers are natural numbers, extracts the feature quantities of the numbered sub - graphs, the feature quantities of the numbered sub - graphs are shape features, obtains a standard - circle segmented image, extracts the feature quantities of the standard - circle segmented image, calculates the similarity between the feature quantities of the numbered sub - graphs and the feature quantities of the standard - circle segmented image, sorts the similarities in descending order, obtains the similarity with the largest value, takes the area of the standard - circle segmented image corresponding to the similarity with the largest value as the area of the seismic wave propagation range included in the sub - graph, and when all the similarities are less than the seventh value, sets the area of the seismic wave propagation range included in the sub - graph to 0;

[0050] The first value and the second value are respectively set as the first ratio threshold and the second ratio threshold, calculates the ratio of the area of the seismic wave propagation range included in the sub - graph to the area of the cutting frame, compares the ratio of the area of the seismic wave propagation range included in the sub - graph to the area of the cutting frame with the first value and the second value respectively, and obtains a first comparison result. The first comparison result includes that the ratio of the area of the seismic wave propagation range included 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 wave propagation range included 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 wave propagation range included in the sub - graph to the area of the cutting frame is less than the second value. Classify the concentration level according to the first comparison result. The concentration level includes the first concentration level, the second concentration level and the third concentration level, and the concentration level corresponds to the first comparison result in sequence.

[0051] In specific implementation, through the setting of the square cutting frame, the seismic source movement map can be subdivided into multiple sub - graphs, which is convenient for detailed analysis of local features. Comparing the feature quantities of the sub - graphs with the feature quantities of the standard - circle segmented image makes the measurement of the seismic wave propagation range more standardized and consistent. Determining the seismic wave propagation range in the sub - graph based on the area of the standard - circle image corresponding to the maximum similarity helps to more accurately evaluate the actual propagation range. By comparing the ratio of the seismic wave propagation range to the area of the cutting frame with the preset threshold, the concentration degree of seismic activities can be effectively evaluated, different concentration levels can be classified, and classifying the concentration level according to the ratio comparison result helps to identify the high - density areas of seismic source activities, so as to conduct more accurate risk assessment. The whole process is automatically processed, reducing manual intervention and improving the efficiency and accuracy of data processing.

[0052] The data analysis module calculates the weights of the fault parameters and the rock - layer parameters in the frequency of earthquakes at the seismic source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake - prone factor. The weights are obtained through multiple regression analysis, and the calculation logic of the weights includes:

[0053] Taking the frequency of earthquakes at the epicenter location as the dependent variable, and the fault parameters and rock formation parameters as the independent variables, a multiple regression analysis is carried out, and the coefficients of the fault parameters and rock formation parameters are used as the corresponding weights.

[0054] The feedback module sets the subgraph including the movement trajectory as the subgraph to be analyzed, and obtains the subgraph number corresponding to the epicenter location closest to the historical earthquake time. The closest means that the time interval between the historical earthquake time and the current time is the smallest.

[0055] Set the subgraph number corresponding to the epicenter location closest to the historical earthquake time as the adjacent subgraph, set the subgraphs to be analyzed near the adjacent subgraph as dangerous subgraphs, obtain the concentration level corresponding to the dangerous subgraphs, calculate the earthquake-prone factors corresponding to the dangerous subgraphs, and issue a warning signal according to the concentration level corresponding to the dangerous subgraphs and the earthquake-prone factors corresponding to the dangerous subgraphs. The warning signal includes the first warning signal, the second warning signal, the third warning signal, the fourth warning signal, the fifth warning signal and the sixth warning signal, and display warning lights of different brightness and different colors.

[0056] The feedback module respectively sets the eighth value as the earthquake-prone factor threshold.

[0057] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is the first concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is greater than or equal to the earthquake-prone factor threshold, issue the first warning signal and display the warning light of the first brightness and the first color.

[0058] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is the first concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is less than the earthquake-prone factor threshold, issue the second warning signal and display the warning light of the second brightness and the second color.

[0059] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is the second concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is greater than or equal to the earthquake-prone factor threshold, issue the third warning signal and display the warning light of the third brightness and the third color.

[0060] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is the second concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is less than the earthquake-prone factor threshold, issue the fourth warning signal and display the warning light of the fourth brightness and the fourth color.

[0061] When the concentration of the earthquake-prone factor corresponding to the dangerous subgraph is the third concentration level and the earthquake-prone factor corresponding to the dangerous subgraph is greater than or equal to the earthquake-prone factor threshold, issue the fifth warning signal and display the warning light of the fifth brightness and the fifth color.

[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 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.

[0063] In specific implementation, by obtaining the sub-map number of the source 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 the 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 source and the possibility of an earthquake can be comprehensively considered to provide a more accurate risk assessment. The warning level can be intuitively displayed through warning lights of different brightness and colors, 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.

[0064] 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 of an earthquake and the scope of its impact, thereby improving the timeliness and accuracy of the early warning. It 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, it can evaluate the earthquake risk in each region, issue corresponding early warning signals for areas with different risk levels, and realize 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. 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.

[0065] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. 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 code. 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 (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the process Figure 1 in one process or multiple processes and / or boxes Figure 1 the functions specified in one box or multiple boxes.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An earthquake monitoring system, characterized in that, It includes a data acquisition module, a data analysis module and a feedback module: The data acquisition module is used to acquire the historical earthquake time, the corresponding magnitude, the epicenter location, the frequency of earthquakes at the epicenter location, the fault parameters and the rock stratum parameters of the area to be measured; The data analysis module constructs an epicenter movement map based on the historical earthquake time and the epicenter location, obtains the movement trajectory from the epicenter movement map, numbers the epicenter locations in the order of historical earthquake time, marks the earthquake affected area on the epicenter movement map according to the corresponding magnitude, sets the cutting frame size, divides the marked epicenter movement map to obtain sub - maps, numbers the sub - maps, obtains the area of the earthquake affected area included in the sub - maps, calculates the ratio of the area of the earthquake affected area included in the sub - maps to the area of the cutting frame, compares the ratio with the first value and the second value to obtain the first comparison result, divides the concentration level according to the first comparison result, calculates the weights of the fault parameters and the rock stratum 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 - prone factor; The feedback module sets the sub - map including the movement trajectory as the sub - map to be analyzed, obtains the sub - map number corresponding to the epicenter location with the closest historical earthquake time, sets the sub - map number corresponding to the epicenter location with the closest historical earthquake time as the adjacent sub - map, sets the sub - maps to be analyzed near the adjacent sub - map as the dangerous sub - maps, obtains the concentration level corresponding to the dangerous sub - maps, calculates the earthquake - prone factor corresponding to the dangerous sub - maps, issues a warning signal according to the concentration level corresponding to the dangerous sub - maps and the earthquake - prone factor corresponding to the dangerous sub - maps, and displays warning lights with different brightness and colors.

2. The seismic monitoring system according to claim 1, wherein: The data acquisition module acquires the historical earthquake time, the corresponding magnitude, the epicenter location, the frequency of earthquakes at the epicenter location, the fault parameters and the rock stratum parameters of the area to be measured; The epicenter location is represented by longitude and latitude. The fault parameters include the fault type, the fault shape, the slip amount and the slip direction. The rock stratum parameters include the rock type, the rock stratum thickness, the rock stratum shape and the rock strength.

3. An earthquake monitoring system according to claim 1, characterized in that: The data analysis module takes the epicenter location as a trajectory point, connects adjacent trajectory points with straight lines in the order of historical earthquake time, and marks a moving arrow. The direction of the moving arrow is the order direction of the trajectory points corresponding to the historical earthquake time, to obtain a trajectory straight - line graph, and sets the trajectory straight - line graph as the epicenter movement map.

4. The seismic monitoring system according to claim 3, wherein: The data analysis module fits the epicenter movement map by the least - squares method to obtain a movement trajectory equation; The epicenter locations are numbered in the order of historical earthquake time, and the numbers are natural numbers; The earthquake affected area is marked on the epicenter movement map according to the corresponding magnitude. The earthquake affected area is represented by a circle. The magnitudes include micro - earthquake, weak earthquake, moderately strong earthquake and strong earthquake. The diameter of the affected area of the micro - earthquake is the third value, the diameter of the affected area of the weak earthquake is the fourth value, the diameter of the affected area of the moderately strong earthquake is the fifth value, and the diameter of the affected area of the strong earthquake is the sixth value. Among them, the third value, the fourth value, the fifth value and the sixth value increase in sequence.

5. The seismic monitoring system according to claim 3, characterized in that: The data analysis module sets the size of the cutting frame. The cutting frame is square, and the side length of the square is the greatest common divisor of the lengths of the connecting lines of adjacent trajectory points. The marked seismic source movement map is segmented to obtain sub - graphs; The data analysis module numbers the sub - graphs. The numbers are natural numbers. The feature quantities of the numbered sub - graphs are shape features. A standard circle segmentation image is obtained, and the feature quantities of the standard circle segmentation image are extracted. The similarity between the feature quantities of the numbered sub - graphs and the feature quantities of the standard circle segmentation image is calculated. The similarities are sorted in descending order, and the maximum similarity value is obtained. The area of the standard circle segmentation image corresponding to the maximum similarity value is used as the area of the seismic wave range included in the sub - graph. When all the similarities are less than the seventh value, the area of the seismic wave range included in the sub - graph is set to 0; The first value and the second value are respectively set as the first ratio threshold and the second ratio threshold. The ratio of the area of the seismic wave range included in the sub - graph to the area of the cutting frame is calculated. The ratio of the area of the seismic wave range included in the sub - graph to the area of the cutting frame is compared with the first value and the second value respectively to obtain the first comparison result. The first comparison result includes that the ratio of the area of the seismic wave range included 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 wave range included 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 wave range included in the sub - graph to the area of the cutting frame is less than the second value. The concentration level is divided according to the first comparison result. The concentration level includes the first concentration level, the second concentration level and the third concentration level, and the concentration level corresponds to the first comparison result in sequence.

6. The seismic monitoring system according to claim 5, characterized in that: The data analysis module calculates the weights of the fault parameters and the rock formation parameters in the frequency of earthquakes at the seismic source location, calculates the average value of the weights, and sets the average value of the weights as the earthquake - prone factor. The weights are obtained through multiple regression analysis. The calculation logic of the weights includes: Taking the frequency of earthquakes at the seismic source location as the dependent variable, and the fault parameters and the rock formation parameters as the independent variables, performing multiple regression analysis, and taking the coefficients of the fault parameters and the rock formation parameters as the corresponding weights.

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

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

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements an earthquake monitoring system according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, it implements an earthquake monitoring system according to any one of claims 1-8.

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