Earthquake sensor sensitivity adaptive adjustment intelligent early warning terminal system

Abstract

The invention discloses a seismic sensor sensitivity adaptive adjustment intelligent early warning terminal system. The system comprises a data acquisition module, a preprocessing module, a database module, a data processing module, an early warning module and a data output module. The preprocessing module is used for generating a warning report when an earthquake occurs; the database module is used for judging the danger degree of the earthquake and adjusting the sensitivity of the earthquake sensor; according to the invention, seismic wave data during the occurrence of an earthquake are collected, the magnitude of the earthquake is analyzed, and the danger degree of the earthquake is analyzed and quantified according to the magnitude and the occurrence frequency of the earthquake; when the earthquake danger degree is low and is not enough to cause damage, the sensitivity of the earthquake sensor is reduced, so that the earthquake sensor is not enough to accurately detect the occurrence of the earthquake and cancel warning, and the earthquake with low damage is shielded on the premise of guaranteeing safety, so that social panic is avoided, and social order and safety are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of intelligent regulation and control, and in particular to an intelligent early warning terminal system for adaptively adjusting the sensitivity of a seismic sensor. Background Art

[0002] The importance of earthquake early warning lies in that it can use the speed difference of seismic wave propagation in the early stage of an earthquake to provide the affected area with a few seconds to tens of seconds of precious time, so that the public, enterprises and governments can take emergency protective measures, such as emergency avoidance, cutting off the source of danger, and launching emergency plans, thereby effectively reducing the casualties and property losses caused by the earthquake; earthquakes have strong destructive and lethal capabilities, and people have a strong fear of them; when an earthquake occurs, whether it is destructive or not, it will cause social panic, affect social order and public security, and cause major safety hazards; in order to reduce the social panic caused by earthquakes, an intelligent early warning terminal system with adaptive adjustment of seismic sensor sensitivity is proposed. Summary of the invention

[0003] The technical problem to be solved by the present invention is: how to solve the problem that the existing safety protection system has a single protection type, resulting in poor protection effect and bringing certain impacts on the use of the safety protection system. An intelligent early warning terminal system with adaptive adjustment of earthquake sensor sensitivity is provided.

[0004] The present invention solves the above technical problems through the following technical solutions, which include a data acquisition module, a preprocessing module, a database module, a data processing module, an early warning module, and a data output module; The data acquisition module is used to collect real-time data information during earthquakes; The preprocessing module is used to receive real-time data information, analyze and monitor the real-time data information, and generate a warning report when an earthquake occurs; The database module is used to store historical earthquake data information and standard earthquake parameters; The data processing module is used to receive historical data information, real-time data information and standard earthquake parameters, process and analyze the historical data information and real-time data information, and judge the danger level of the earthquake; adjust the sensitivity of the seismic sensor according to the danger level and standard earthquake parameters, and issue a sensitivity adjustment report; The early warning module is used to receive warning reports and take warning actions; The data output module is used to receive and output warning reports and sensitivity adjustment reports.

[0005] Preferably, the real-time data information report is real-time seismic wave data, and the generation process of the warning report is: Obtain real-time seismic wave data from multiple adjacent monitoring points; Count the number of monitoring points A1 that detected seismic waves; Then count the total number of monitoring points A2; Calculate the data anomaly degree E1. The specific calculation process is as follows: E1=A1 / A2; When the data abnormality E1>preset threshold Q1, a warning report is generated.

[0006] Preferably, the real-time data information includes real-time seismic wave data, and the historical data information includes historical seismic record data; the specific processing process of the data processing module is: Collect real-time seismic wave data from seismic monitoring stations to obtain the maximum amplitude A of seismic waves and the epicenter distance S of monitoring points; Calculate the magnitude ML of the earthquake. The specific calculation process is: ML=lgA-lgA1; Among them, A1 is the amplitude of the "standard earthquake", which is a fixed reference value; Read historical earthquake record data and count the number of earthquakes NL within a preset time period Ti; Calculate the earthquake danger level E1, the specific calculation process is: E1=t1·ML+t2·NL; Among them, t1 is the weight of earthquake magnitude when judging the earthquake danger level, t2 is the weight of earthquake number when judging the earthquake danger level, t1+t2=1, and t1>t2, NL≠0; Read the standard earthquake parameters, derive the mapping relationship between the danger level and the epicenter distance, and obtain the danger level E2 when the epicenter distance is S; When the danger level E2 is less than the preset threshold value Q1, a sensitivity adjustment report is issued to reduce the sensitivity of the seismic sensor and clear the warning report.

[0007] Preferably, the process of generating the sensitivity adjustment report further includes: Obtain the monitoring point, with the monitoring point as the midpoint, and make concentric standard circles with preset sizes r, 2r, 3r, ..., nr as radii; Obtain detection points on each standard circle respectively; Collect real-time seismic wave data at each detection point to obtain the detection amplitude of each detection point; Obtain the amplitude differences of the detection points on adjacent concentric circles, which are B1, B2, B3, ..., Bn; Get the average of multiple amplitude differences ; Calculate the attenuation amplitude V1 of the detection amplitude energy. The specific calculation process is: V1= / r; Import standard earthquake parameters, derive the mapping relationship between standard amplitude and epicenter distance, obtain the change C of standard amplitude per unit size Lr of epicenter distance, and obtain the average change of standard amplitude ; Calculate the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: V2= / Lr; Calculate the difference E3 between the attenuation amplitude V1 of the detected amplitude energy and the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: ; When the difference E3>preset threshold Q2, the sensitivity adjustment report is cleared.

[0008] Preferably, the process of generating the sensitivity adjustment report further includes: Import the amplitude differences B1, B2, B3, ..., Bn of the detection points on adjacent concentric circles; Then get the average value of the amplitude difference ; Randomly select an amplitude difference Bn to calculate the amplitude anomaly E4. The specific calculation process is as follows: ; When E4>preset threshold Q3, the detection amplitude data of the detection point corresponding to the amplitude difference is abnormal; Read multiple monitoring points, and obtain real-time seismic wave data of the multiple monitoring points respectively to obtain the epicenter distance of each monitoring point; A first type of circle is made with each monitoring point as the center and the epicenter distance as the radius, and the intersection points of multiple first type circles are obtained and marked as marked points G; Get the position of the abnormal detection point, and create a second type of circle with the marked point G as the center and the distance from the marked point G to the abnormal detection point as the radius; Obtain multiple first check points on the second type circle, obtain the check amplitude of each first check point respectively, and obtain the average check amplitude ; Use average calibration amplitude The detection amplitude of the abnormal detection point is replaced for calculation.

[0009] Preferably, the process of generating the sensitivity adjustment report further includes: Import the location of the anomaly detection point and the marking point G; Connect the abnormal detection point and the marking point G to make a virtual straight line; Acquire multiple groups of second check points on the virtual straight line respectively, each group of second check points has two, and are respectively located on both sides of the abnormal detection point; respectively acquiring the real-time seismic wave data of each group of second verification points to obtain the amplitude data of each second verification point; Compare the amplitude data of each group of second check points with the amplitude data of the abnormal detection point, and mark the second check point group when the amplitude data of the abnormal detection point is between the amplitude data of the two second check points in the group; Count the number of the second inspection point group marked by Y1; Then count the total number of the second inspection point group Y2; Use the formula E5=Y1 / Y2 to calculate the mark ratio; When the mark proportion E5>the preset threshold Q4, the sensitivity adjustment report is cleared.

[0010] Preferably, the calculation process of the earthquake risk level further includes: Obtain the locations of multiple adjacent seismic monitoring stations; Collect real-time seismic wave data from each seismic monitoring station; Obtain the maximum amplitude of the seismic wave of each seismic monitoring station and calculate the earthquake magnitude, and obtain multiple magnitudes, namely ML1, ML2, ML3, ..., MLn; Get the average of multiple magnitudes ; Use the average of the magnitudes Replace the magnitude ML and calculate the earthquake hazard level.

[0011] Preferably, the data processing module is also used to monitor abnormal data and generate a maintenance report, and the generation process of the maintenance report is: Read the magnitude calculated by each seismic monitoring station, which are ML1, ML2, ML3, ..., MLn; Then get the average of multiple magnitudes ; Randomly obtain a magnitude MLn; Calculate the magnitude deviation E6, the specific calculation process is: ; When the deviation degree E6>preset threshold value Q5, it is an abnormal earthquake monitoring station, the earthquake monitoring station is marked, and a maintenance report is generated.

[0012] Preferably, when the deviation E6>preset threshold Q5, the generation process of the maintenance report further includes: Read multiple monitoring points, and respectively obtain real-time seismic wave data of the multiple monitoring points to obtain the epicenter distance of each monitoring point, where the multiple epicenter distances are Li1, Li2, Li3, ..., Lin; Calculate the average epicenter distance of multiple detection points ; Get the epicenter distance Lu of the abnormal earthquake monitoring station; Calculate the deviation E7 of the abnormal earthquake monitoring station. The specific calculation process is: ; When the deviation E7>preset threshold Q6, the mark is cancelled and the maintenance report is cleared.

[0013] Preferably, the system further comprises a control module and a service platform module, wherein the control module is used to control the warning action of the early warning module, and the service platform module is used to receive and display the warning report and the sensitivity adjustment report.

[0014] Compared with the prior art, the present invention has the following advantages: the system collects seismic wave data when an earthquake occurs, analyzes the magnitude of the earthquake, and analyzes and quantifies the danger level of the earthquake based on the magnitude and frequency of the earthquake; when the earthquake danger level is low and not enough to cause damage, the sensitivity of the seismic sensor is reduced so that it is not enough to accurately detect the occurrence of an earthquake, and the warning is canceled. Under the premise of ensuring safety, earthquakes with lower destructiveness are shielded to avoid causing social panic and ensure social order and safety; at the same time, the danger level of the earthquake is adjusted and corrected based on the analysis of real-time seismic wave data, thereby improving the accuracy and reliability of the system analysis and making the system more worthy of popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the overall module diagram of the present invention. DETAILED DESCRIPTION

[0016] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0017] like Figure 1 ,This embodiment provides a technical solution: an intelligent early warning terminal system for adaptively adjusting the sensitivity of a seismic sensor, comprising a data acquisition module, a preprocessing module, a database module, a data processing module, an early warning module, and a data output module; The data acquisition module is used to collect real-time data information during earthquakes; The preprocessing module is used to receive real-time data information, analyze and monitor the real-time data information, and generate a warning report when an earthquake occurs; The database module is used to store historical earthquake data information and standard earthquake parameters; The data processing module is used to receive historical data information, real-time data information and standard earthquake parameters, process and analyze the historical data information and real-time data information, and judge the danger level of the earthquake; adjust the sensitivity of the seismic sensor according to the danger level and standard earthquake parameters, and issue a sensitivity adjustment report; The warning module is used to receive warning reports and take warning actions; The data output module is used to receive and output warning reports and sensitivity adjustment reports.

[0018] The system collects seismic wave data when an earthquake occurs, analyzes the magnitude of the earthquake, and analyzes and quantifies the degree of earthquake danger based on the magnitude and frequency of the earthquake. When the earthquake danger level is low and not enough to cause damage, the sensitivity of the seismic sensor is reduced so that it is not accurate enough to detect the occurrence of an earthquake, and the warning is canceled. Under the premise of ensuring safety, earthquakes with lower destructive power are shielded to avoid causing social panic and to ensure social order and safety. At the same time, the degree of earthquake danger is adjusted and corrected based on the analysis of real-time seismic wave data, thereby improving the accuracy and reliability of the system analysis and making the system more worthy of promotion and use.

[0019] Among them, the real-time data information report is real-time seismic data, and the generation process of the warning report is as follows: Obtain real-time seismic wave data from multiple adjacent monitoring points; Count the number of monitoring points A1 that detected seismic waves; Then count the total number of monitoring points A2; Calculate the data anomaly degree E1. The specific calculation process is as follows: E1=A1 / A2; When the data abnormality E1>preset threshold Q1, a warning report is generated.

[0020] When the system is in use, an early warning will be issued when an earthquake occurs for the first time, and subsequent sensitivity adjustments will be made after an earthquake occurs and under the premise of ensuring safety.

[0021] Among them, the real-time data information includes real-time seismic wave data, and the historical data information includes historical earthquake record data; the specific processing process of the data processing module is: Collect real-time seismic wave data from seismic monitoring stations to obtain the maximum amplitude A of seismic waves and the epicenter distance S of monitoring points; It should be noted that the calculation method of epicenter distance is: The epicenter distance refers to the straight-line distance from any point on the ground to the epicenter. The epicenter distance can be calculated by the propagation time and wave velocity of the earthquake wave. The specific method is as follows: Using the time difference between P wave and S wave: Assume the time difference is Δt, the P wave velocity is Vp, and the S wave velocity is Vs.

[0022] Assuming the epicenter distance is S, then according to the formula S / Vs-S / Vp=Δt, the epicenter distance S can be calculated; This part is the prior art and will not be described in detail.

[0023] Calculate the magnitude ML of the earthquake. The specific calculation process is: ML=lgA-lgA1; Among them, A1 is the amplitude of the "standard earthquake", which is a fixed reference value; Read historical earthquake record data and count the number of earthquakes NL within a preset time period Ti; Calculate the earthquake danger level E1, the specific calculation process is: E1=t1·ML+t2·NL; Among them, t1 is the weight of earthquake magnitude when judging the earthquake danger level, t2 is the weight of earthquake number when judging the earthquake danger level, t1+t2=1, and t1>t2, NL≠0; Read the standard earthquake parameters, derive the mapping relationship between the danger level and the epicenter distance, and obtain the danger level E2 when the epicenter distance is S; It should be noted that the standard earthquake parameters are reference data preset based on historical earthquake data.

[0024] When the danger level E2 is less than the preset threshold value Q1, a sensitivity adjustment report is issued to reduce the sensitivity of the seismic sensor and clear the warning report.

[0025] This technical solution first collects real-time data of earthquake waves, obtains the maximum amplitude based on the waves, and calculates the magnitude of the earthquake; at the same time, it conducts a comprehensive analysis of historical earthquake data to determine the danger level of the earthquake in order to quantify safety hazards, and then infers the danger level of the monitoring location based on pre-fabricated epicenter distance and reference data of the danger level; when the danger level is low and there are no safety hazards, the sensitivity of the seismic sensor is reduced, the earthquake is shielded, and on the premise of ensuring safety, earthquake information is shielded to reduce social panic and ensure social order.

[0026] Geological conditions have an important influence on the propagation and attenuation of seismic waves. For example, in hard rocks, seismic waves propagate faster and attenuate less; in soft soil or sediments, seismic waves propagate slower and attenuate more. The above embodiment uses standard data to evaluate the danger level of the monitoring location, which is defective. When the geological conditions of the monitoring location are special, there will be greater safety hazards. To solve this problem, the following further solutions are proposed: The sensitivity adjustment report generation process also includes: Obtain the monitoring point, with the monitoring point as the midpoint, and make concentric standard circles with preset sizes r, 2r, 3r, ..., nr as radii; Obtain detection points on each standard circle respectively; Collect real-time seismic wave data at each detection point to obtain the detection amplitude of each detection point; Obtain the amplitude differences of the detection points on adjacent concentric circles, which are B1, B2, B3, ..., Bn; Get the average of multiple amplitude differences ; Calculate the attenuation amplitude V1 of the detection amplitude energy. The specific calculation process is: V1= / r; Import standard earthquake parameters, derive the mapping relationship between standard amplitude and epicenter distance, obtain the change C of standard amplitude per unit size Lr of epicenter distance, and obtain the average change of standard amplitude ; Calculate the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: V2= / Lr; Calculate the difference E3 between the attenuation amplitude V1 of the detected amplitude energy and the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: ; When V2-V1<0, it indicates that the actual attenuation amplitude is larger than the standard attenuation amplitude, the degree of earthquake energy attenuation is larger, and it is safer.

[0027] When the difference E3>preset threshold Q2, the sensitivity adjustment report is cleared.

[0028] The amplitude is the distance that the earthquake wave vibration deviates from the equilibrium position, which directly reflects the energy of the earthquake wave. The greater the energy of the earthquake wave, the greater the destructive power of the earthquake. In this embodiment, real-time amplitude data is collected, the attenuation amplitude of the earthquake energy is calculated, and the attenuation amplitude of the standard earthquake energy is calculated according to the standard earthquake parameters, and the two are compared. When the actual attenuation amplitude is smaller than the standard attenuation amplitude, the destructive power of the monitoring location in the standard actual earthquake is stronger than the inferred one. When the difference between the two sides is large, it indicates that the earthquake has a greater degree of danger, so a clear sensitivity adjustment report is required to ensure safety.

[0029] Furthermore, the process of generating the sensitivity adjustment report also includes: Import the amplitude differences B1, B2, B3, ..., Bn of the detection points on adjacent concentric circles; Then get the average value of the amplitude difference ; Randomly select an amplitude difference Bn to calculate the amplitude anomaly E4. The specific calculation process is as follows: ; When E4>preset threshold Q3, the detection amplitude data of the detection point corresponding to the amplitude difference is abnormal; Read multiple monitoring points, and obtain real-time seismic wave data of the multiple monitoring points respectively to obtain the epicenter distance of each monitoring point; A first type of circle is made with each monitoring point as the center and the epicenter distance as the radius, and the intersection points of multiple first type circles are obtained and marked as marked points G; It should be noted that the marked point G is the location of the earthquake source.

[0030] Get the position of the abnormal detection point, and create a second type of circle with the marked point G as the center and the distance from the marked point G to the abnormal detection point as the radius; Obtain multiple first check points on the second type circle, obtain the check amplitude of each first check point respectively, and obtain the average check amplitude ; Use average calibration amplitude The detection amplitude of the abnormal detection point is replaced for calculation.

[0031] The detection value of earthquake amplitude is affected by many factors. Earthquake waves propagate from the epicenter to the surrounding areas. In the same area, the detection amplitude on a circle centered on the epicenter and with the distance from the monitoring point to the epicenter as the radius is similar. In this solution, abnormal data is screened out, the measured amplitude of points with similar amplitudes is obtained, and the abnormal amplitude data is replaced with the average amplitude, thereby improving the accuracy and reliability of the system calculation.

[0032] Furthermore, the sensitivity adjustment report generation process also includes: Import the location of the anomaly detection point and the marking point G; Connect the abnormal detection point and the marking point G to make a virtual straight line; Acquire multiple groups of second check points on the virtual straight line respectively, each group of second check points has two, and are respectively located on both sides of the abnormal detection point; respectively acquiring the real-time seismic wave data of each group of second verification points to obtain the amplitude data of each second verification point; Compare the amplitude data of each group of second check points with the amplitude data of the abnormal detection point, and mark the second check point group when the amplitude data of the abnormal detection point is between the amplitude data of the two second check points in the group; Count the number of the second inspection point group marked by Y1; Then count the total number of the second inspection point group Y2; Use the formula E5=Y1 / Y2 to calculate the mark ratio; When the mark proportion E5>the preset threshold Q4, the sensitivity adjustment report is cleared.

[0033] In this scheme, the abnormal amplitude is further analyzed, and a virtual line is made from the earthquake source to the monitoring point. The propagation direction of the seismic wave in this direction of the virtual line is verified by using the gradual attenuation characteristics of the seismic wave propagation at two points of the abnormal detection point to determine whether the abnormal value is real amplitude data. When the abnormal value is real amplitude data and is significantly different from the amplitude data of other monitoring points, it indicates that the geological differences in the area are large. Seismic zones with large geological differences are often accompanied by more serious disasters when earthquakes occur. Due to the complexity of geological conditions, earthquakes may trigger natural disasters such as landslides, collapses, and ground fissures, and may even cause secondary disasters such as fires, floods, and toxic gas leaks. The occurrence of these disasters will not only cause casualties and property losses, but may also have a profound impact on the local ecological environment and social stability. In order to further ensure the safety of personnel, the sensitivity adjustment report is cleared.

[0034] The calculation process of earthquake risk level also includes: Obtain the locations of multiple adjacent seismic monitoring stations; Collect real-time seismic wave data from each seismic monitoring station; Obtain the maximum amplitude of the seismic wave of each seismic monitoring station and calculate the earthquake magnitude, and obtain multiple magnitudes, namely ML1, ML2, ML3, ..., MLn; Get the average of multiple magnitudes ; Use the average of the magnitudes Replace the magnitude ML and calculate the earthquake hazard level.

[0035] Seismic wave monitoring equipment may be affected by external factors such as lightning and electromagnetic interference, resulting in abnormal monitoring data; in addition, human factors, such as operational errors and equipment failures, may also lead to false alarms or misjudgments; when an earthquake occurs, there are usually multiple seismic stations that receive seismic wave signals; by calculating the amplitude and period of the seismic waves recorded by each station and using the corresponding formula, the magnitude measured by each station can be obtained; by averaging these magnitudes, a more accurate magnitude value can be obtained.

[0036] The data processing module is also used to monitor abnormal data and generate maintenance reports. The generation process of the maintenance report is as follows: Read the magnitude calculated by each seismic monitoring station, which are ML1, ML2, ML3, ..., MLn; Then get the average of multiple magnitudes ; Randomly obtain a magnitude MLn; Calculate the magnitude deviation E6, the specific calculation process is: ; When the deviation degree E6>preset threshold value Q5, it is an abnormal earthquake monitoring station, the earthquake monitoring station is marked, and a maintenance report is generated.

[0037] Abnormal seismic monitoring stations are marked and a maintenance report is generated for the seismic monitoring station to maintain the entire seismic monitoring system and ensure the validity of each monitoring data.

[0038] Furthermore, when the deviation E6>preset threshold Q5, the generation process of the maintenance report further includes: Read multiple monitoring points, and respectively obtain real-time seismic wave data of the multiple monitoring points to obtain the epicenter distance of each monitoring point, where the multiple epicenter distances are Li1, Li2, Li3, ..., Lin; Calculate the average epicenter distance of multiple detection points ; Get the epicenter distance Lu of the abnormal earthquake monitoring station; Calculate the deviation E7 of the abnormal earthquake monitoring station. The specific calculation process is: ; When the deviation E7>preset threshold Q6, the mark is cancelled and the maintenance report is cleared.

[0039] Although the magnitude of an earthquake has nothing to do with the distance of the monitoring point from the epicenter, the monitoring data at different distances have different attenuation of seismic waves, and the distance between the magnitude measuring station and the epicenter will affect the measurement results. The closer the station is to the epicenter, the stronger the seismic wave signal it receives, and the higher the magnitude it may measure; while the station farther from the epicenter receives a relatively weaker signal, and the magnitude it measures may be lower; when the distance between the monitoring point and the epicenter is greatly different, it is normal for the monitoring data to have certain differences. In order to reduce the system's misjudgment rate, this situation is screened out.

[0040] The system also includes a control module and a service platform module. The control module is used to control the warning action of the early warning module, and the service platform module is used to receive and display warning reports and sensitivity adjustment reports.

[0041] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0042] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0043] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors, characterized in that: It includes data acquisition module, preprocessing module, database module, data processing module, early warning module and data output module; The data acquisition module is used to collect real-time data information during earthquakes; The preprocessing module is used to receive real-time data information, analyze and monitor the real-time data information, and generate a warning report when an earthquake occurs; The database module is used to store historical earthquake data information and standard earthquake parameters; The data processing module is used to receive historical data information, real-time data information and standard earthquake parameters, process and analyze the historical data information and real-time data information, and judge the danger level of the earthquake; adjust the sensitivity of the seismic sensor according to the danger level and standard earthquake parameters, and issue a sensitivity adjustment report; The warning module is used to receive warning reports and take warning actions; The data output module is used to receive and output warning reports and sensitivity adjustment reports.

2. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 1 is characterized by: The real-time data information report includes real-time seismic wave data, and the generation process of the warning report is as follows: Obtain real-time seismic wave data from multiple adjacent monitoring points; Count the number of monitoring points A1 that detected seismic waves; Then count the total number of monitoring points A2; Calculate the data anomaly degree E1. The specific calculation process is as follows: E1=A1 / A2; When the data abnormality E1>preset threshold Q1, a warning report is generated.

3. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 1 is characterized by: The real-time data information includes real-time seismic wave data, and the historical data information includes historical earthquake record data; the specific processing process of the data processing module is as follows: Collect real-time seismic wave data from seismic monitoring stations to obtain the maximum amplitude A of seismic waves and the epicenter distance S of monitoring points; Calculate the magnitude ML of the earthquake. The specific calculation process is: ML=lgA-lgA1; Among them, A1 is the amplitude of the "standard earthquake", which is a fixed reference value; Read historical earthquake record data and count the number of earthquakes NL within a preset time period Ti; Calculate the earthquake danger level E1, the specific calculation process is: E1=t1·ML+t2·NL; Among them, t1 is the weight of earthquake magnitude when judging the earthquake danger level, t2 is the weight of earthquake number when judging the earthquake danger level, t1+t2=1, and t1>t2, NL≠0; Read the standard earthquake parameters, derive the mapping relationship between the danger level and the epicenter distance, and obtain the danger level E2 when the epicenter distance is S; When the danger level E2 is less than the preset threshold value Q1, a sensitivity adjustment report is issued to reduce the sensitivity of the seismic sensor and clear the warning report.

4. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 3 is characterized by: The generation process of the sensitivity adjustment report further includes: Obtain the monitoring point, with the monitoring point as the midpoint, and make concentric standard circles with preset sizes r, 2r, 3r, ..., nr as radii; Obtain detection points on each standard circle respectively; Collect real-time seismic wave data at each detection point to obtain the detection amplitude of each detection point; Obtain the amplitude differences of the detection points on adjacent concentric circles, which are B1, B2, B3, ..., Bn; Get the average of multiple amplitude differences ; Calculate the attenuation amplitude V1 of the detection amplitude energy. The specific calculation process is: V1= / r； Import standard earthquake parameters, derive the mapping relationship between standard amplitude and epicenter distance, obtain the change C of standard amplitude per unit size Lr of epicenter distance, and obtain the average change of standard amplitude ; Calculate the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: V2= / Lr; Calculate the difference E3 between the attenuation amplitude V1 of the detected amplitude energy and the attenuation amplitude V2 of the standard amplitude energy. The specific calculation process is: ； When the difference E3>preset threshold Q2, the sensitivity adjustment report is cleared.

5. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 4 is characterized by: The generation process of the sensitivity adjustment report further includes: Import the amplitude differences B1, B2, B3, ..., Bn of the detection points on adjacent concentric circles; Then get the average value of the amplitude difference ; Randomly select an amplitude difference Bn to calculate the amplitude anomaly E4. The specific calculation process is as follows: ； When E4>preset threshold Q3, the detection amplitude data of the detection point corresponding to the amplitude difference is abnormal; Read multiple monitoring points, and obtain real-time seismic wave data of the multiple monitoring points respectively to obtain the epicenter distance of each monitoring point; A first type of circle is made with each monitoring point as the center and the epicenter distance as the radius, and the intersection points of multiple first type circles are obtained and marked as marked points G; Get the position of the abnormal detection point, and create a second type of circle with the marked point G as the center and the distance from the marked point G to the abnormal detection point as the radius; Obtain multiple first check points on the second type circle, obtain the check amplitude of each first check point respectively, and obtain the average check amplitude ; Use average calibration amplitude The detection amplitude of the abnormal detection point is replaced for calculation.

6. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 5, characterized in that: The generation process of the sensitivity adjustment report further includes: Import the location of the anomaly detection point and the marking point G; Connect the abnormal detection point and the marking point G to make a virtual straight line; Acquire multiple groups of second check points on the virtual straight line respectively, each group of second check points has two, and are respectively located on both sides of the abnormal detection point; respectively acquiring the real-time seismic wave data of each group of second verification points to obtain the amplitude data of each second verification point; Compare the amplitude data of each group of second check points with the amplitude data of the abnormal detection point, and mark the second check point group when the amplitude data of the abnormal detection point is between the amplitude data of the two second check points in the group; Count the number of the second inspection point group marked by Y1; Then count the total number of the second inspection point group Y2; Use the formula E5=Y1 / Y2 to calculate the mark ratio; When the mark proportion E5>the preset threshold Q4, the sensitivity adjustment report is cleared.

7. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 3 is characterized by: The calculation process of the earthquake risk level also includes: Obtain the locations of multiple adjacent seismic monitoring stations; Collect real-time seismic wave data from each seismic monitoring station; Obtain the maximum amplitude of the seismic wave of each seismic monitoring station and calculate the earthquake magnitude, and obtain multiple magnitudes, namely ML1, ML2, ML3, ..., MLn; Get the average of multiple magnitudes ; Use the average of the magnitudes Replace the magnitude ML and calculate the earthquake hazard level.

8. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 7, characterized in that: The data processing module is also used to monitor abnormal data and generate a maintenance report. The generation process of the maintenance report is as follows: Read the magnitude calculated by each seismic monitoring station, which are ML1, ML2, ML3, ..., MLn; Then get the average of multiple magnitudes ; Randomly obtain a magnitude MLn; Calculate the magnitude deviation E6, the specific calculation process is: ； When the deviation degree E6>preset threshold value Q5, it is an abnormal earthquake monitoring station, the earthquake monitoring station is marked, and a maintenance report is generated.

9. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 8, characterized in that: When the deviation E6>preset threshold Q5, the generation process of the maintenance report further includes: Read multiple monitoring points, and respectively obtain real-time seismic wave data of the multiple monitoring points to obtain the epicenter distance of each monitoring point, where the multiple epicenter distances are Li1, Li2, Li3, ..., Lin; Calculate the average epicenter distance of multiple detection points ; Get the epicenter distance Lu of the abnormal earthquake monitoring station; Calculate the deviation E7 of the abnormal earthquake monitoring station. The specific calculation process is: ； When the deviation E7>preset threshold Q6, the mark is cancelled and the maintenance report is cleared.

10. The intelligent early warning terminal system for adaptively adjusting the sensitivity of earthquake sensors according to claim 1, characterized in that: It also includes a control module and a service platform module. The control module is used to control the warning action of the early warning module, and the service platform module is used to receive and display the warning report and the sensitivity adjustment report.

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