CN110687587A - Medium-and-long-term earthquake early warning system based on multi-source remote sensing data and monitoring station data - Google Patents
Medium-and-long-term earthquake early warning system based on multi-source remote sensing data and monitoring station data Download PDFInfo
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Abstract
The invention discloses a medium and long term earthquake early warning system based on multi-source remote sensing data and monitoring station data, which comprises a sensor unit, a data acquisition unit, a data storage unit, a positioning unit, a data processing unit, a historical data unit, a data space analysis unit and an early warning result output unit. The sensor unit, the data acquisition unit, the data storage unit are connected with the data processing unit, and the historical data unit is connected with the data space analysis unit. The medium-and-long-term earthquake early warning system provides potential earthquake occurrence places and earthquake occurrence time periods through the cooperative analysis of the remote sensing data, the measured data and the historical data, is beneficial to relevant workers to do prevention and disaster relief work, reduces the national economic loss caused by disasters, and ensures the life and property safety of people.
Description
Technical Field
The invention belongs to the technical field of natural disaster early warning, and particularly relates to a medium-and-long-term earthquake early warning system based on multi-source remote sensing data and monitoring station data.
Background
In recent years, earthquake disasters frequently occur along with the earth entering the active period of plate activity, the earthquake disasters bring huge loss to the production and life of people, the current earthquake early warning is a world problem, and all countries actively explore earthquake prediction and early warning work. The existing earthquake early warning has two schemes, one is based on an earthquake quick reporting system, namely, three elements (time, place and earthquake magnitude) of an earthquake are quickly determined by using a plurality of monitoring stations which are nearest to the epicenter in an earthquake observation network, and then people far away from the epicenter are allowed to take measures in a certain time by using modern communication and the propagation time of destructive earthquake waves. The scheme (network early warning) determines the basic elements of the earthquake and can issue early warning to a relatively far area. However, the scheme has a large blind area, and a plurality of monitoring stations are needed to determine the earthquake information; the other scheme is single-point earthquake early warning, and the scheme utilizes the characteristics of longitudinal waves and transverse waves of the earthquake to perform earthquake early warning. The seismograph at the point continuously monitors the vibration, and if strong longitudinal waves are detected, early warning is generated to warn that destructive seismic waves are about to arrive. The scheme only needs one monitoring station, so the blind area is small. But only the site can be pre-warned, the application of the site has certain limitation, and the improved scheme is to combine the network pre-warning with the single-point pre-warning to reduce the blind area and increase the pre-warning range.
The earthquake early warning scheme is suitable for early warning for the earthquake in a short time according to the propagation time difference of the earthquake after the earthquake occurs, measures for resisting the damage caused by the earthquake are not made in advance, and once the early warning time of the earthquake occurs for a short time and is not influenced by various factors and the response is not obtained in time, the loss caused by the earthquake is not effectively reduced.
The satellite remote sensing technology is rapidly developed in the early 21 st century, the remote sensing application field is continuously expanded, numerous satellites applied to various fields are emitted by various countries in sequence, the satellites monitor natural activities and human activities on the earth in real time every day, all-weather, timeliness and large-range advantages of the satellite remote sensing technology are relied on, and the application of satellite remote sensing data to earthquake prediction and early warning is an innovative way.
Disclosure of Invention
The invention aims to provide a medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data aiming at the defects in the existing earthquake early warning scheme, which depends on the advantages of all weather, timeliness and large range of a satellite remote sensing technology, applies the satellite remote sensing data to earthquake prediction and early warning, extracts an area which accords with the earth abnormal physical characteristics in the early period of an earthquake, carries out key monitoring and carries out medium-long term early warning.
The invention is realized by the following technical scheme:
a medium and long term earthquake early warning system based on multi-source remote sensing data and monitoring station data comprises a sensor unit, a data acquisition unit, a data storage unit, a positioning unit, a data processing unit, a historical data unit, a data space analysis unit and an early warning result output unit; the output end of the sensor unit is in signal connection with the input end of the data acquisition unit and is used for acquiring remote sensing image data and data information recorded by each monitoring point; the output end of the data acquisition unit is in signal connection with the input end of the data storage unit and is used for acquiring satellite remote sensing image data and data information recorded by monitoring points; the output end of the data storage unit is in signal connection with the input end of the data processing unit and is used for receiving and formatting and storing the satellite remote sensing image data and the data recorded by the monitoring points; the output end of the positioning unit is in signal connection with the input end of the data processing unit and is used for acquiring the geographic spatial position of the monitoring station; the output end of the data processing unit is in signal connection with the input end of the data space analysis unit and is used for analyzing and processing satellite remote sensing image data and data recorded by monitoring points, and meanwhile, the position of a monitoring station is determined and the geographical projection coordinate system correction is carried out on the satellite remote sensing data processing result; the output end of the data space analysis unit is in signal connection with the input end of the historical data unit and is used for preliminarily determining the early warning level of earthquake occurrence and grading short-term, medium-term and long-term early warnings of earthquake occurrence; the output end of the historical data unit is in signal connection with the input end of the early warning result output unit and is used for grading the output result of the data space analysis unit and grading the potential earthquake dangerous area according to the recorded historical earthquake information; and the early warning result output unit is used for outputting an early warning result to a user.
The technical scheme of the invention for further solving is that the sensor unit comprises a satellite remote sensing sensor module and a monitoring station sensor module; the data acquisition unit comprises a remote sensing data acquisition module and a monitoring station data acquisition module; the output end of the satellite remote sensing sensor module is in signal connection with the input end of the remote sensing data acquisition module, and the output end of the monitoring station sensor module is in signal connection with the input end of the monitoring station data acquisition module.
The technical scheme for further solving the problem is that the satellite remote sensing sensor module consists of a radar satellite, an electromagnetic monitoring satellite, a terrestrial satellite and a meteorological satellite; the monitoring station sensor module consists of a seismic platform net and a submarine beacon sensor; wherein, the radar satellite comprises a Sentinel-1A/B satellite and a high-grade third satellite; the electromagnetic monitoring satellite comprises Zhang Heng satellite I; terrestrial satellites include TERRA/AQUA satellites and Landsat satellites; the meteorological satellites comprise a Fengyun No. 4 satellite and a sunflower No. 8 satellite; the earthquake platform net comprises a seismograph; the subsea beacon sensor includes a seawater temperature pressure sensor.
The technical scheme of the invention is that the data processing unit comprises a satellite remote sensing data processing module and a monitoring station data processing module; the input end of the satellite remote sensing data processing module is in signal connection with the output end of the data storage unit and is used for processing the data acquired by the remote sensing data acquisition module; the input end of the monitoring station data processing module is in signal connection with the output end of the data storage unit and is used for processing the data acquired by the monitoring station data acquisition module.
The satellite remote sensing data processing module is composed of a radar satellite data processing submodule, an electromagnetic monitoring satellite data processing submodule, a land satellite data processing submodule and a meteorological satellite data processing submodule; the monitoring station data processing module consists of a seismic platform network data processing submodule and a submarine beacon data processing submodule; the system comprises a radar satellite data processing submodule, an electromagnetic monitoring satellite data processing submodule, a terrestrial satellite data processing submodule, a meteorological satellite data processing submodule, a seismic platform network data processing submodule and a submarine beacon data processing submodule, wherein the radar satellite data processing submodule is used for processing SRA data acquired by a radar satellite, the electromagnetic monitoring satellite data processing submodule is used for processing earth magnetic field distribution and change data acquired by an electromagnetic monitoring satellite, the terrestrial satellite data processing submodule is used for processing multispectral and thermal infrared image data acquired by a terrestrial satellite, the meteorological satellite data processing submodule is used for processing satellite cloud map data acquired by a meteorological satellite, the seismic platform network data processing submodule is used for processing seismic real-time data acquired by a seismic platform.
The technical scheme for further solving the problem is that the positioning unit comprises a Beidou satellite positioning system and a GPS satellite positioning system.
The technical scheme of the invention for further solving the problem is that the historical seismic information recorded in the historical data unit comprises any one of seismic time, seismic place, seismic source depth, seismic magnitude and seismic frequency.
The output end of the early warning result output unit is further in signal connection with the input end of the historical data unit and used for storing the early warning result in the historical data unit to serve as historical data for analysis in the next time period.
The invention further solves the technical scheme that the earthquake early warning of the early warning result output unit comprises land earthquake early warning and seabed earthquake early warning.
The invention has the beneficial effects that:
the invention adopts SAR satellite data, the imaging condition is not influenced by the environment, and the defect that the current optical satellite is influenced by the weather is overcome. By applying the cooperative processing of the multi-source remote sensing data, the resolving capability of the earthquake early-stage symptoms is improved, the potential earthquake occurrence area and time are comprehensively analyzed in multiple directions and multiple conditions, and the defect of monitoring and early warning the earthquake by the traditional single means is overcome.
The method has the advantages of reasonable design, novel thought, good scheme foresight, important reference value for realizing early medium-long term prediction and early warning of earthquakes and the like, and can realize automatic data maintenance by exporting the backup of the output result file to historical data to be used as the historical data for next analysis.
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Fig. 1 is a schematic structural connection diagram of the system of the present invention.
Fig. 2 is a schematic diagram of the DInSAR technique of the present invention.
In the figure, the serial numbers of a sensor unit 1, a data acquisition unit 2, a data storage unit 3, a positioning unit 4, a data processing unit 5, a historical data unit 6, a data space analysis unit 7, an early warning result output unit 8, a satellite remote sensing sensor module 11, a monitoring station sensor module 12, a remote sensing data acquisition module 21, a monitoring station data acquisition module 22, a satellite remote sensing data processing module 51, a monitoring station data processing module 52, a 111 radar satellite, an electromagnetic monitoring satellite 112, a terrestrial satellite 113, a meteorological satellite 114, a seismic table network 121, a submarine sensor 122, a satellite data processing submodule 511, an electromagnetic monitoring data processing submodule 512, a satellite data processing submodule 5, a satellite data processing submodule 6, a satellite data processing submodule 8, a satellite remote sensing sensor module 12, a monitoring station sensor module 21, a remote sensing data acquisition module 22, a monitoring station, 513 a terrestrial satellite data processing sub-module, 514 a meteorological satellite data processing sub-module, 521 a seismic table network data processing sub-module and 522 a submarine beacon data processing sub-module.
Detailed Description
The invention will be further described with reference to the accompanying drawings and examples.
Referring to fig. 1, the medium-and-long-term earthquake early warning system based on multi-source remote sensing data and monitoring station data comprises a sensor unit 1, a data acquisition unit 2, a data storage unit 3, a positioning unit 4, a data processing unit 5, a historical data unit 6, a data space analysis unit 7 and an early warning result output unit 8; the output end of the sensor unit 1 is in signal connection with the input end of the data acquisition unit 2 and is used for acquiring remote sensing image data and data information recorded by each monitoring point; the output end of the data acquisition unit 2 is in signal connection with the input end of the data storage unit 3 and is used for acquiring satellite remote sensing image data and data information recorded by monitoring points; the output end of the data storage unit 3 is in signal connection with the input end of the data processing unit 5 and is used for receiving and formatting and storing the satellite remote sensing image data and the data recorded by the monitoring points; the output end of the positioning unit 4 is in signal connection with the input end of the data processing unit 5 and is used for acquiring the geographical spatial position of the monitoring station; the output end of the data processing unit 5 is in signal connection with the input end of the data space analysis unit 7 and is used for analyzing and processing satellite remote sensing image data and data recorded by monitoring points, and meanwhile, determining the position of a monitoring station and correcting a geographical projection coordinate system of a satellite remote sensing data processing result; the output end of the data space analysis unit 7 is in signal connection with the input end of the historical data unit 6 and is used for preliminarily determining the early warning level of earthquake occurrence and grading the short-term, medium-term and long-term early warning of earthquake occurrence; the output end of the historical data unit 6 is in signal connection with the input end of the early warning result output unit and is used for grading the output results of the data space analysis unit and grading the potential earthquake dangerous area according to the recorded historical earthquake information; and the early warning result output unit 8 is used for outputting an early warning result to a user.
In this embodiment, the sensor unit 1 includes a satellite remote sensing sensor module 11 and a monitoring station sensor module 12; the data acquisition unit 2 comprises a remote sensing data acquisition module 21 and a monitoring station data acquisition module 22; the output end of the satellite remote sensing sensor module 11 is in signal connection with the input end of the remote sensing data acquisition module 21, and the output end of the monitoring station sensor module 12 is in signal connection with the input end of the monitoring station data acquisition module 22.
In this embodiment, the satellite remote sensing sensor module 11 is composed of a radar satellite 111, an electromagnetic monitoring satellite 112, a terrestrial satellite 113, and an meteorological satellite 114; the monitoring station sensor module 12 consists of a seismic platform net 121 and a submarine beacon sensor 122; wherein, the radar satellite 111 comprises a Sentinel-1A/B satellite and a high-grade third satellite; the electromagnetic monitoring satellites 112 include Zhang Heng satellite I; terrestrial satellites 113 include TERRA/AQUA satellites and Landsat satellites; meteorological satellites 114 include wind cloud number 4 satellite and sunflower number 8 satellite; the seismic table network 121 comprises a seismograph, preferably, the seismograph adopts a GMSP seismic data recorder and is suitable for all structures needing long-term or temporary earthquake/vibration monitoring; the sea floor beacon sensor 122 comprises a seawater temperature pressure sensor, preferably a KZW-JPT water corrosion-resistant temperature sensor and a U.S. GE Nova high-pressure 7Mpa NPI-15A-702AH seawater measurement corrosion-resistant pressure sensor respectively; the remote sensing data acquisition module 21 acquires SAR data, MODIS data, OLI/TIRS data, high-precision magnetic strength data, AVHRR data and the like; the monitoring site data acquisition module 22 acquires seismometer or seawater temperature pressure data. Specifically, the specific parameters of the Sentinel-1A/B satellite, the high-resolution three-way satellite, the Zhang Heng I satellite, the TERRA/AQUA satellite, the Landsat satellite, the Fengyun No. 4 satellite and the sunflower No. 8 satellite are shown in tables 1-7.
TABLE 1 Sentinel-1A/B satellite parameters
TABLE 2 high-score third satellite parameters
TABLE 3 Scale satellite parameters
TABLE 4 TERRA/AQUA satellite parameters
TABLE 5 Landsat satellite parameters
TABLE 6 Fengyun satellite number four parameters
TABLE 7 sunflower satellite number 8 parameters
In this embodiment, the data processing unit 5 includes a satellite remote sensing data processing module 51 and a monitoring station data processing module 52; the input end of the satellite remote sensing data processing module 51 is in signal connection with the output end of the data storage unit 3 and is used for processing the data acquired by the remote sensing data acquisition module 21; the input end of the monitoring station data processing module 52 is in signal connection with the output end of the data storage unit 3, and is used for processing the data acquired by the monitoring station data acquisition module 22.
In this embodiment, the satellite remote sensing data processing module 51 is composed of a radar satellite data processing submodule 511, an electromagnetic monitoring satellite data processing submodule 512, a terrestrial satellite data processing submodule 513 and a weather satellite data processing submodule 514; the monitoring station data processing module 52 consists of a seismic platform network data processing submodule 521 and a submarine beacon data processing submodule 522; the radar satellite data processing sub-module 511 is configured to process SRA data acquired by the radar satellite 111, specifically, using a DInSAR method, see fig. 2, the sensor acquires phase information of the same area from different directions twice, and calculates according to the following formula:
wherein λ represents a radar wavelength; Δ RmovIs the amount of surface deformation, Δ RmovH is elevation, and is obtained through DEM, and theta is an incident angle;
the phase values, which are caused by sensor noise, can be removed by a flattening effect,is an atmospheric induced phase value that is negligible compared to seismic induced surface deformation phase values.
Obtaining a change trend graph of a ground surface deformation field based on time sequence of the current processing starting time (such as data of the previous 2 months), wherein an earthquake is formed by stress fracture of rock stratum plates, the rock stratum can generate elastic deformation before the stress fracture, the deformation of the ground surface can be monitored to judge the settlement rate of the rock stratum in an area, a certain threshold value | a | is set, and the area with the ground surface deformation rate exceeding | a | is extracted to be used as a map layer A (phi |)diff>A |); the electromagnetic monitoring satellite data processing submodule 512 is used for processing earth magnetic field distribution and change data acquired by the electromagnetic monitoring satellite 112, specifically, the electromagnetic monitoring satellite data processing submodule 512 calls simultaneous discontinuous high-precision magnetic strength data in the data storage unit 3, regional electromagnetic field abnormity can be caused before and after an earthquake, and an earth magnetic field abnormal region is obtained through analysis and is used as a layer B and a unified projection coordinate system of the layer A; the terrestrial satellite data processing submodule 513 is configured to process multispectral and thermal infrared image data acquired by the terrestrial satellite 113, and specifically, the terrestrial satellite data processing submodule 513 calls multispectral or thermal infrared remote sensing image time sequence data in the same time period in the data storage unit 3, and uses an atmospheric radiation transmission equation method, and a thermal infrared radiation brightness value received by the satellite sensor is composed of 3 parts, namely an atmospheric uplink radiation brightness Lu, an atmospheric downlink radiation brightness Ld, and a radiation energy value of ground radiation reaching the satellite sensor through the atmosphere. The formula is as follows:
L(γ)＝[σLT+(1-σ)Ld]τ+Lu；
in the formula: l (y) radiance values for pels in the 10 th band, which in this study are Landsat8 data; sigma is the emissivity; LT represents the surface temperature under a homothermal black body; lu and Ld are respectively an atmospheric uplink radiation brightness value and an atmospheric downlink radiation value; τ is the transmission of the atmosphere in the thermal infrared band. The following can be derived from the formula:
LT＝[L(y)-L(u)-τ×(1-σ)Ld]/(σ×τ)；
performing inversion to obtain surface temperature (LST) distribution, using an MODIS surface temperature product MOD11A1 as the global monthly average temperature as the Background Temperature (BT), comparing the real-time inverted surface temperature (LST) with the Background Temperature (BT), and extracting an area with LST < BT for n consecutive days as a map layer C; the weather satellite data processing submodule 514 is used for processing satellite cloud map data acquired by the weather satellite 114, and specifically, the weather satellite data processing submodule 514 calls a weather satellite data cloud detection product of wind cloud No. 4 or sunflower No. 8 in the data storage unit 3 in the same time period, analyzes changes of cloud layers and atmospheric parameters in the time period, including changes of cloud forms, changes of cloud layer thicknesses and the like, extracts an abnormal region with violent changes of the cloud layers in the time period as a layer D, and indicates that the cloud forms can be obviously distinguished from surrounding regions before an earthquake occurs, although the earthquake cloud cannot directly predict the earthquake, the abnormality of atmospheric physical parameters caused by the electromagnetic abnormality before the earthquake may cause the cloud form abnormality, so the layer D can be used as reference data and is not used as judgment data; the seismic table network data processing submodule 521 is used for processing seismic real-time data acquired by the seismic table network 121, the seabed beacon data processing submodule 522 is used for processing seawater temperature and pressure data acquired by the seabed beacon sensor 122, specifically, the seismic table network data processing submodule 521 and the seabed beacon data processing submodule 522 respectively call monitoring station data and seabed beacon data in the data storage module 3, the temperature and pressure sensor carried by the seabed beacon is used for detecting physical changes of seawater before the seabed earthquake occurs, the geospatial position information in the positioning module is applied to data output by the monitoring station data processing module 52, so that the data and the output result of the satellite remote sensing data processing module 51 have a unified coordinate system, the execution of the data space analysis unit 7 is facilitated, the data space analysis unit 7 finds out a potential earthquake occurrence area meeting predetermined conditions by using means such as geographic data space superposition analysis and the like for layers A, B, C and D, then, the historical data unit 6 exemplarily divides the earthquake potentially dangerous area level into 1 month possible earthquake, 3 months possible earthquake, 6 months possible earthquake and no earthquake in anticipation, and prepares earthquake relief early for the area with the short-term earthquake possibility as an early warning result.
In this embodiment, the positioning unit 4 includes a Beidou satellite positioning system and a GPS satellite positioning system.
In this embodiment, the historical seismic information recorded in the historical data unit 6 includes any one of seismic time, seismic location, seismic source depth, seismic magnitude and seismic frequency.
In this embodiment, the output end of the early warning result output unit 8 is further in signal connection with the input end of the historical data unit 6, and is used for storing the early warning result in the historical data unit as historical data for analysis in the next time period.
In this embodiment, the earthquake early warning of the early warning result output unit 8 includes a land earthquake early warning and a submarine earthquake early warning.
The specific implementation process of the invention is as follows:
the data acquired by the satellite remote sensing sensor 11 and the monitoring station sensor 12 through the remote sensing data acquisition module 21 and the monitoring station data acquisition module 22 are transmitted to the data storage unit 3, and the data storage unit 3 receives and stores the data in a format, for example, the data storage unit 3 is used for storing radar satellite SAR data, earth magnetic field distribution and change data, multispectral and thermal infrared image data, satellite cloud map data, seismic table network seismic real-time recording data, seabed temperature and seawater pressure data and other transmitted original data. The data processing unit 5 obtains satellite remote sensing image data and data recorded by the monitored site from the data storage unit 3, and analyzes and processes the data through the satellite remote sensing data processing module 51 and the monitoring station data processing module 52, and the data processing unit 5 needs to determine the position of the monitored site and correct the geographical projection coordinate system of the satellite remote sensing data processing result from the positioning unit 4. The method comprises the steps of obtaining satellite remote sensing data processing results and output data monitored by monitoring stations from a data processing unit 5, preliminarily determining early warning levels of earthquake occurrence by a data space analysis unit 7, performing space superposition analysis by combining data recorded by a historical data unit 6, further grading short-term, medium-term and long-term early warning of earthquake occurrence, reducing early warning range, obtaining potential earthquake occurrence sites and occurrence time periods, screening by combining historical data of the historical data unit 6, and then sending results to a user through an early warning result output unit 8.
It should be noted that the operation calculation methods related to the sensor unit 1, the data acquisition unit 2, the data storage unit 3, the data processing unit 5, the data space analysis unit 7, the historical data unit 6 and the positioning unit 4 of the system are common methods in the prior art, and the technical scheme of the invention can be obtained only by connecting the hardware with corresponding functions through the connection relationship given by the embodiment of the invention, wherein the improvement in any software aspect is not involved. The connection mode between the software and the hardware of each corresponding function is realized by the prior art by those skilled in the art, and is not described in detail herein.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the inventive concept of the present invention, and these changes and modifications are all within the scope of the present invention.
Claims (9)
1. The utility model provides a medium and long term earthquake early warning system based on multisource remote sensing data and monitoring station data which characterized in that: the system comprises a sensor unit (1), a data acquisition unit (2), a data storage unit (3), a positioning unit (4), a data processing unit (5), a historical data unit (6), a data space analysis unit (7) and an early warning result output unit (8); the output end of the sensor unit (1) is in signal connection with the input end of the data acquisition unit (2) and is used for acquiring remote sensing image data and data information recorded by each monitoring point; the output end of the data acquisition unit (2) is in signal connection with the input end of the data storage unit (3) and is used for acquiring satellite remote sensing image data and data information recorded by monitoring points; the output end of the data storage unit (3) is in signal connection with the input end of the data processing unit (5) and is used for receiving and formatting and storing the satellite remote sensing image data and the data recorded by the monitoring points; the output end of the positioning unit (4) is in signal connection with the input end of the data processing unit (5) and is used for acquiring the geographic spatial position of the monitoring station; the output end of the data processing unit (5) is in signal connection with the input end of the data space analysis unit (7) and is used for analyzing and processing satellite remote sensing image data and data recorded by monitoring points, determining the position of a monitoring station and correcting a geographical projection coordinate system of a satellite remote sensing data processing result; the output end of the data space analysis unit (7) is in signal connection with the input end of the historical data unit (6) and is used for preliminarily determining the early warning level of earthquake occurrence and grading the short-term, medium-term and long-term early warning of earthquake occurrence; the output end of the historical data unit (6) is in signal connection with the input end of the early warning result output unit and is used for grading the output result of the data space analysis unit and dividing the grade of a dangerous area in which an earthquake potentially occurs according to recorded historical earthquake information; and the early warning result output unit (8) is used for outputting an early warning result to a user.
2. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 1, wherein: the sensor unit (1) comprises a satellite remote sensing sensor module (11) and a monitoring station sensor module (12); the data acquisition unit (2) comprises a remote sensing data acquisition module (21) and a monitoring site data acquisition module (22); the output end of the satellite remote sensing sensor module (11) is in signal connection with the input end of the remote sensing data acquisition module (21), and the output end of the monitoring station sensor module (12) is in signal connection with the input end of the monitoring station data acquisition module (22).
3. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 2, wherein: the satellite remote sensing sensor module (11) consists of a radar satellite (111), an electromagnetic monitoring satellite (112), a terrestrial satellite (113) and an meteorological satellite (114); the monitoring station sensor module (12) consists of a seismic table net (121) and a submarine beacon sensor (122); wherein, the radar satellite (111) comprises a Sentinel-1A/B satellite and a high-grade third satellite; the electromagnetic monitoring satellite (112) comprises Zhang Heng satellite I; the terrestrial satellites (113) include TERRA/AQUA satellites and Landsat satellites; the meteorological satellite (114) comprises a Fengyun No. 4 satellite and a sunflower No. 8 satellite; the seismic table net (121) comprises a seismometer; the subsea beacon sensor (122) comprises a seawater temperature pressure sensor.
4. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 3, wherein: the data processing unit (5) comprises a satellite remote sensing data processing module (51) and a monitoring station data processing module (52); the input end of the satellite remote sensing data processing module (51) is in signal connection with the output end of the data storage unit (3) and is used for processing data acquired by the remote sensing data acquisition module (21); the input end of the monitoring station data processing module (52) is in signal connection with the output end of the data storage unit (3) and is used for processing the data acquired by the monitoring station data acquisition module (22).
5. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 4, wherein: the satellite remote sensing data processing module (51) consists of a radar satellite data processing submodule (511), an electromagnetic monitoring satellite data processing submodule (512), a land satellite data processing submodule (513) and a meteorological satellite data processing submodule (514); the monitoring station data processing module (52) consists of a seismic platform network data processing submodule (521) and a submarine beacon data processing submodule (522); the system comprises a radar satellite data processing submodule (511) used for processing SRA data acquired by a radar satellite (111), an electromagnetic monitoring satellite data processing submodule (512) used for processing earth magnetic field distribution and change data acquired by an electromagnetic monitoring satellite (112), a land satellite data processing submodule (513) used for processing multispectral and thermal infrared image data acquired by a land satellite (113), a weather satellite data processing submodule (514) used for processing satellite cloud map data acquired by a weather satellite (114), a seismic platform network data processing submodule (521) used for processing seismic real-time data acquired by a seismic platform network (121), and a submarine beacon data processing submodule (522) used for processing seawater temperature and pressure data acquired by a submarine beacon sensor (122).
6. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 1, wherein: the positioning unit (4) comprises a Beidou satellite positioning system and a GPS satellite positioning system.
7. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 1, wherein: the historical seismic information recorded in the historical data unit (6) comprises any one of seismic time, seismic place, seismic source depth, seismic magnitude and seismic occurrence frequency.
8. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 1, wherein: the output end of the early warning result output unit (8) is further in signal connection with the input end of the historical data unit (6) and used for storing the early warning result in the historical data unit to serve as historical data of the next time period analysis.
9. The medium-long term earthquake early warning system based on multi-source remote sensing data and monitoring station data as claimed in claim 8, wherein: the earthquake early warning of the early warning result output unit (8) comprises land earthquake early warning and seabed earthquake early warning.
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