Earthquake macroscopic field comprehensive monitor

Abstract

The invention relates to the technical field of earthquake observation, in particular to an earthquake macroscopic field comprehensive monitor which comprises a plurality of monitoring stations and an intelligent terminal, front-end sensing equipment and a monitoring system are arranged in the monitoring stations, and the monitoring system comprises a data receiving and transmitting module and a power supply module. The intelligent terminal comprises a terminal receiving module, an analysis module, a processing module, an early warning issuing module and a storage module, the monitoring station monitors surrounding physical field data, the intelligent terminal analyzes the physical field data into index data, and the environmental data is utilized to reduce the influence of external factors on the physical field data; a richer and more accurate data basis is provided for earthquake prediction and early warning, the monitoring stations are divided into levels according to the distance from the intelligent terminal, the monitoring stations for transmitting signals are preferentially selected, a rapid and stable mode is provided for signal transmission of the monitoring stations, and the data are segmented, isolated and stored by the storage module in different units, so that the data are convenient to consult.

Description

Technical Field

[0001] This invention relates to the field of earthquake observation technology, and in particular to a comprehensive monitoring instrument for macroscopic earthquake fields. Background Technology

[0002] Earthquakes are extremely destructive natural disasters, and are among the most devastating natural disasters facing the world, especially my country. More than 60% of my country's land area is at or above the seismic intensity level VI, and many major earthquakes occur in urban areas or densely populated areas. Once an earthquake occurs, it will cause enormous losses.

[0003] During the gestation process of an earthquake, the crustal rock strata in the epicenter area and its surrounding areas undergo minor deformations, ruptures, fluid migrations, and energy releases under tectonic stress, resulting in a series of precursory anomalies. These anomalies are widely present in multiple macroscopic physical fields such as crustal deformation, underground fluids, and electromagnetic fields.

[0004] Currently, although there are many types of monitoring devices in earthquake prediction technology, most of them focus on monitoring a single physical parameter and form a relatively independent observation network. However, the gradual change of the earth's crust to the abrupt change of earthquake damage is a nonlinear, giant system pattern. This monitoring method not only has isolated data lacking correlation, but also has weak anti-interference ability.

[0005] To address this, a comprehensive earthquake macroscopic field monitoring instrument is proposed, which can achieve high-precision, synchronous, and comprehensive acquisition of multiple physical field data on a single platform, providing a more reliable and richer data foundation for earthquake prediction. Summary of the Invention

[0006] The purpose of this invention is to provide a comprehensive monitoring instrument for the macroscopic field of earthquakes, in order to solve the problem that most monitoring devices mentioned in the background art focus on monitoring a single physical parameter.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a comprehensive seismic macroscopic field monitoring instrument, comprising multiple monitoring stations and an intelligent terminal, wherein each monitoring station is equipped with front-end sensing devices and a monitoring system, the monitoring system comprising a data receiving and transmission module and a power supply module, and the intelligent terminal comprising a terminal receiving module, an analysis module, a processing module, an early warning release module, and a storage module, characterized in that, The front-end sensing equipment includes multiple sensor devices, which are used to monitor the physical field data around the monitoring station and transmit the monitoring data to the data receiving and transmitting module; The data receiving and transmission module is used to receive data monitored by various sensor devices and transmit the monitoring data to the smart terminal via the 4G network. The power supply module is used to provide power to the front-end sensing devices and data receiving and transmission modules. It includes a port for connecting to the mains power, a large-capacity battery pack, and a solar charging device. The terminal receiving module is used to receive the monitoring data transmitted by the monitoring system and transmit the monitoring data to other modules on the smart terminal. The analysis module is used to receive monitoring data transmitted by the terminal receiving module, analyze various indicator data based on the monitoring data, and transmit the analysis results to the processing module. The processing module is used to perform comprehensive processing of earthquake information based on the analysis results, and send early warning signals or alarm signals to the early warning release module according to the processing results; The early warning release module is used to release early warning information or alarm information based on early warning signals; The storage module contains a time-series database for storing received data.

[0008] Preferably, the smart terminal further includes a hierarchical module, which is used to divide the monitoring station into hierarchical areas. Specifically, with the smart terminal as the center, each 10km away from the smart terminal is a hierarchical area. Before the monitoring station transmits data to the smart terminal through the monitoring system, the monitoring station will receive data transmitted by the nearest monitoring station within 10km of itself in the next lower level area based on the ratio of the number of monitoring stations in its own level area to the number of monitoring stations in the next lower level area. Based on the time sequence information, the monitoring station will transmit the data together with the data it monitors to the next higher level area or the smart terminal.

[0009] Preferably, the front-end sensor equipment specifically includes a four-component borehole strain gauge, a high-precision GNSS, a deep well water level and temperature gauge, a three-component magnetometer, and an image sensor, which are used to monitor the volumetric strain data of the earth's crustal rocks, the three-dimensional position data of the earth's surface, the water level and temperature change data in the well, the three-component change data of the geomagnetic field, and the environmental data around the monitoring station, and transmit the monitored data to the data receiving and transmission module.

[0010] Preferably, the various index data are crustal deformation data, groundwater dynamic data, and electromagnetic variation data. The crustal deformation data is obtained by analyzing the volumetric strain data of crustal rocks and the three-dimensional position data of the Earth's surface. The groundwater dynamic data is obtained by analyzing the water level and temperature change data in the monitoring well. The electromagnetic variation data is obtained by analyzing the three-component variation data of the geomagnetic field.

[0011] Preferably, when the analysis module analyzes the various indicator data, it also analyzes the environmental data around the monitoring station. Specifically, it analyzes whether there are any significant changes in the environment around the monitoring station, so as to eliminate the impact of environmental changes on the detection data of the four-component borehole strain gauge, high-precision GNSS, deep well water level and temperature gauge, and three-component magnetometer.

[0012] Preferably, the processing module also includes a construction unit. The construction unit downloads historical earthquake information from each monitoring station from the big data network and plots time-series curves of crustal deformation, underground fluid dynamics, and electromagnetic changes for the monitoring station based on the historical earthquake information. The construction unit also marks these data on the time-series curves. After the processing module completes the comprehensive processing of earthquake information, the construction unit will also synchronize the index data in the analysis results to the corresponding time-series curve of the monitoring station.

[0013] Preferably, the specific process of the comprehensive processing of earthquake information is as follows: the index data is compared with the time series curve of the corresponding monitoring station, and an early warning signal is sent according to the comparison result. If three index data are all greater than or equidistant from the marked data at the same time, an alarm signal is immediately sent to the early warning release module. If the other cases are not present, an early warning message is sent. If none of the above occur, no signal is sent.

[0014] Preferably, when the processing module compares the index data with the time series curve of the corresponding monitoring station, it also compares the index data with the index data in the past period. If an electromagnetic step change greater than 10mV / km, a directional deformation of the earth's crust greater than 5μrad, and a large change in the temperature and level of groundwater occur simultaneously, an alarm signal is immediately sent to the early warning release module. If the other situations occur, an early warning message is sent. If none of these occur, no signal is sent.

[0015] Preferably, the storage module receives monitoring data, analysis results, and processing results. When storing data, the storage module aggregates and saves monitoring data, analysis results, and processing results of the same time sequence based on the time sequence information carried by the monitoring data, analysis results, and processing results. When storing data, the storage module saves data in segments in a 7×24h manner.

[0016] Preferably, the monitoring station is equipped with a monitoring well that penetrates 200m into the ground. A deep well water level and temperature gauge is installed inside the monitoring well. A borehole is drilled at the bottom of the monitoring station and at the bottom surface. A four-component borehole strain gauge is installed at the bottom of the borehole cavity. A high-precision GNSS, image sensor, and solar charging device are installed at the top of the monitoring station. The high-precision GNSS, image sensor, and solar charging device are each located at one corner of the monitoring station. A three-component magnetometer is installed on the ground outside the monitoring station. A large-capacity battery pack is installed next to the instrument compartment.

[0017] The beneficial effects of this invention are: 1. This invention monitors surrounding physical field data through monitoring stations and uses intelligent terminals to analyze the physical field data into index data, namely crustal deformation data, groundwater dynamic data, and electromagnetic changes, providing a richer data foundation for earthquake prediction and early warning. When analyzing index data, environmental data is also used to reduce the influence of external factors on physical field data, making the data monitored by the device more accurate.

[0018] 2. This invention categorizes monitoring stations into levels based on their distance from the smart terminal and selects the monitoring stations that best transmit signals, providing a fast and stable way for the monitoring stations to transmit signals. The smart terminal then issues different warnings and alarms based on the processing results, providing clearer prompts. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of the steps of the present invention; Figure 2 This is a schematic diagram of the system of the present invention; Figure 3 This is a partial system schematic diagram of the present invention; Figure 4 This is a schematic diagram of the monitoring station of the present invention; Figure 5 This is a schematic diagram of the electronic device structure of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0022] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0023] Example 1 like Figures 1 to 3 As shown in the illustration, a specific embodiment of the present invention provides a comprehensive earthquake macroscopic field monitoring instrument, comprising multiple monitoring stations and an intelligent terminal. Each monitoring station is equipped with front-end sensing devices and a monitoring system. The monitoring system includes a data receiving and transmission module and a power supply module. The intelligent terminal includes a terminal receiving module, an analysis module, a processing module, an early warning release module, and a storage module. The front-end sensing equipment includes multiple sensor devices, which are used to monitor the physical field data around the monitoring station and transmit the monitoring data to the data receiving and transmitting module; The data receiving and transmission module is used to receive data monitored by various sensor devices and transmit the monitoring data to the smart terminal via the 4G network. The power supply module is used to provide power to the front-end sensing devices and data receiving and transmission modules. It includes a port for connecting to the mains power, a large-capacity battery pack, and a solar charging device. It should be noted that large-capacity battery packs only provide power when the mains power is unavailable or the power supply is low.

[0024] The terminal receiving module is used to receive the monitoring data transmitted by the monitoring system and transmit the monitoring data to other modules on the smart terminal. The analysis module is used to receive monitoring data transmitted by the terminal receiving module, analyze various indicator data based on the monitoring data, and transmit the analysis results to the processing module. The processing module is used to perform comprehensive processing of earthquake information based on the analysis results, and send early warning signals or alarm signals to the early warning release module according to the processing results; The early warning release module is used to release early warning information or alarm information based on early warning signals; It should be noted that the methods of dissemination include, but are not limited to, SMS, telephone, radio, mobile app, television, and WeChat official accounts.

[0025] The storage module contains a time-series database for storing received data.

[0026] The intelligent terminal also includes a hierarchical module, which divides the monitoring station into hierarchical areas. Specifically, with the intelligent terminal as the center, each 10km away from the intelligent terminal is a hierarchical area. Before the monitoring station transmits data to the intelligent terminal through the monitoring system, the monitoring station will receive data transmitted by the nearest monitoring station within 10km of itself in the next lower level area based on the ratio of the number of monitoring stations in its own level area to the number of monitoring stations in the next lower level area. Based on the time sequence information, the monitoring station will transmit this data together with the data it monitors to the next higher level area or the intelligent terminal. It is important to note that when a monitoring station transmits data to the next higher level of the region, it will search for all monitoring stations within 10km of itself that are at the next higher level, check the data transmission rate and time of each station, and select the monitoring station that transmits the most data in the shortest time. Then, it will transmit the data to that monitoring station.

[0027] The front-end sensor equipment specifically includes a four-component borehole strain gauge, a high-precision GNSS, a deep well water level and temperature gauge, a three-component magnetometer, and an image sensor. These are used to monitor the volumetric strain data of the earth's crust, the three-dimensional position data of the earth's surface, the changes in water level and temperature in the well, the three-component changes in the geomagnetic field, and the environmental data around the monitoring station. The monitored data are then transmitted to the data receiving and transmission module.

[0028] It should be noted that the surrounding environmental data is the environmental image data monitored by the image sensor, and the environmental image data is transmitted in JPEG format.

[0029] The data for each indicator includes crustal deformation data, groundwater dynamic data, and electromagnetic variation. The crustal deformation data is derived from the analysis of the volumetric strain data of the crustal rocks and the three-dimensional position data of the Earth's surface. The groundwater dynamic data is derived from the analysis of the water level and temperature changes in the monitoring wells. The electromagnetic variation is derived from the analysis of the three components of the Earth's magnetic field.

[0030] When analyzing the various indicator data in the analysis module, it also analyzes the environmental data around the monitoring station. Specifically, it analyzes whether there are any significant changes in the environment around the monitoring station in order to eliminate the impact of environmental changes on the detection data of the four-component borehole strain gauge, high-precision GNSS, deep well water level and temperature gauge, and three-component magnetometer.

[0031] It is important to note that environmental data is only used to exclude the influence of external factors on the indicator data. If some data in the indicator data changes abnormally when the environment changes (such as the movement of large vehicles or large flow of people), the abnormal data will be corrected proportionally based on the indicator data from the previous analysis.

[0032] Within the processing module, there is also a construction unit. The construction unit downloads historical earthquake information from each monitoring station from the big data network and plots the time series curves of crustal deformation, underground fluid dynamics, and electromagnetic changes of the monitoring station based on the historical earthquake information. The construction unit also marks these data on the time series curves. After the processing module completes the comprehensive processing of earthquake information, the construction unit will also synchronize the index data in the analysis results to the corresponding time series curve of the monitoring station.

[0033] It is important to note that special markers are used to distinguish between historical earthquake information data and index data on the time series curve. There are two types of special markers: earthquake markers and extreme value markers. Extreme value markers are the maximum and minimum data values ​​in the historical earthquake information data, while the rest of the data are earthquake markers.

[0034] The specific process of earthquake information integration processing is as follows: the index data is compared with the time series curves of the corresponding monitoring stations, and an early warning signal is sent according to the comparison results. If all three index data are greater than or equidistant from the marked data at the same time, an alarm signal is immediately sent to the early warning release module. If the other cases are not present, an early warning message is sent. If none of the above occur, no signal is sent.

[0035] When the processing module compares the index data with the time series curves of the corresponding monitoring stations, it will also compare the index data with the index data over a period of time in the past. If an electromagnetic step change of more than 10mV / km, a directional deformation of the earth's crust of more than 5μrad, and a large change in the temperature and level of groundwater occur at the same time, an alarm signal will be sent to the early warning release module immediately. If the other situations occur, an early warning message will be sent. If none of the above occur, no signal will be sent.

[0036] It should be noted that if the above alarm signal occurs, the construction unit will also mark the indicator data in a special way while synchronizing the indicator data to the corresponding time series curve of the monitoring station.

[0037] The storage module receives monitoring data, analysis results, and processing results. When storing data, the storage module aggregates and saves monitoring data, analysis results, and processing results of the same time series based on the time series information carried by the monitoring data, analysis results, and processing results. When storing data, the storage module saves data in segments in a 7×24h manner.

[0038] It should be noted that when storing data, the storage module also arranges the data in chronological order from oldest to newest, and the data is isolated every 24 hours during storage.

[0039] This embodiment involves using front-end sensing devices at a monitoring station to monitor the physical field data around the station and transmitting the monitoring data to a data receiving and transmission module. This module then transmits the data to a smart terminal. The smart terminal receives the monitoring data from the monitoring system using a terminal receiving module and transmits the data to other modules on the smart terminal. An analysis module receives the monitoring data from the terminal receiving module, analyzes various indicator data based on the monitoring data, and transmits the analysis results to a processing module. The processing module performs comprehensive seismic information processing based on the analysis results and sends a warning signal or alarm signal to the early warning release module according to the processing results. The early warning release module then issues warning or alarm information based on the warning signal. During operation at the monitoring station, a power supply module provides power to the front-end sensing devices and the data receiving and transmission module. When transmitting monitoring data at the monitoring station, a hierarchical module further divides the data into hierarchical regions based on the station's location to control stable data transmission. A storage module saves the data in segments on a weekly basis, and then further isolates and saves the data on a daily basis for easy retrieval.

[0040] Example 2 like Figure 4 As shown, a comprehensive seismic macroscopic field monitoring instrument according to any of the above includes a monitoring station and an instrument compartment. The monitoring station is equipped with a monitoring well that penetrates 200m into the ground. A deep well water level and temperature gauge is installed inside the monitoring well. A borehole is drilled at the bottom of the monitoring station and at the bottom surface. A four-component borehole strain gauge is installed at the bottom of the borehole cavity. A high-precision GNSS, image sensor, and solar charging device are installed at the top of the monitoring station. The high-precision GNSS, image sensor, and solar charging device are each located at one corner of the monitoring station. A three-component magnetometer is installed on the ground surface outside the monitoring station. A large-capacity battery pack is installed next to the instrument compartment.

[0041] It should be noted that the four-component borehole strain gauge, three-component magnetometer, and deep well water level and temperature gauge are connected to the instrument compartment via RS-485 bus. The high-precision GNSS and image sensor are connected to the instrument compartment via Ethernet. The solar charging device is specifically a solar panel, which is electrically connected to a large-capacity battery pack, which is also electrically connected to the instrument compartment.

[0042] This embodiment uses a four-component borehole strain gauge to monitor the volumetric strain data of crustal rocks, a high-precision GNSS to monitor the three-dimensional position data of the Earth's surface, a deep well water level and temperature gauge to monitor the changes in water level and temperature within the well, a three-component magnetometer to monitor the changes in the three components of the Earth's magnetic field, and an image sensor to monitor the environmental data around the monitoring station, providing a richer and more accurate data foundation for earthquake prediction and early warning.

[0043] Example 3 like Figure 5 As shown, a computing device is provided with a display screen for displaying early warning or alarm information, and is connected to a smart terminal via a 4G wireless network. It includes a storage unit, a processor, and a computer program stored on the storage unit and executable on the processor. When the processor executes the calculator program, it realizes a smart wearable device with environmental perception and location tracking functions as described above.

[0044] The calculator device in this embodiment connects to a smart terminal via a 4G wireless network and stores computer programs. The types of storage devices include, but are not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. The types of storage devices include, but are not limited to, one or more wired electrical connections, portable computer disks, hard disks, optical fibers, optical (magnetic) storage devices, random access memory, read-only memory, erasable programmable read-only memory, or any suitable combination thereof.

[0045] Example 4 A computer-readable storage medium having a computer program thereon, stored in a storage device and executable on a processor, wherein the computer program, when executed by the processor, implements an intelligent wearable device with environmental perception and location tracking functions as described above.

[0046] The computer-readable medium in this embodiment may be a computer-readable signal medium or a computer-readable storage medium or any combination thereof, including permanent and non-permanent, removable and non-removable media. Information can be read, written and stored by any method or technology. The information may be computer-readable instructions, data structures, program modules or other data.

[0047] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples; within the framework of the invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in the details for the sake of brevity.

[0048] This invention is intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A comprehensive earthquake macroscopic field monitoring instrument, comprising multiple monitoring stations and an intelligent terminal, wherein each monitoring station is equipped with front-end sensing devices and a monitoring system, the monitoring system comprising a data receiving and transmission module and a power supply module, and the intelligent terminal comprising a terminal receiving module, an analysis module, a processing module, an early warning release module, and a storage module, characterized in that, The front-end sensing equipment includes multiple sensor devices, which are used to monitor the physical field data around the monitoring station and transmit the monitoring data to the data receiving and transmitting module; The data receiving and transmission module is used to receive data monitored by various sensor devices and transmit the monitoring data to the smart terminal via the 4G network. The power supply module is used to provide power to the front-end sensing devices and data receiving and transmission modules. It includes a port for connecting to the mains power, a large-capacity battery pack, and a solar charging device. The terminal receiving module is used to receive the monitoring data transmitted by the monitoring system and transmit the monitoring data to other modules on the smart terminal. The analysis module is used to receive monitoring data transmitted by the terminal receiving module, analyze various indicator data based on the monitoring data, and transmit the analysis results to the processing module. The processing module is used to perform comprehensive processing of earthquake information based on the analysis results, and send early warning signals or alarm signals to the early warning release module according to the processing results; The early warning release module is used to release early warning information or alarm information based on early warning signals; The storage module contains a time-series database for storing received data.

2. The comprehensive monitoring instrument for macroscopic seismic fields according to claim 1, characterized in that, The intelligent terminal also includes a hierarchical module, which is used to divide the monitoring station into hierarchical areas. Specifically, with the intelligent terminal as the center, each 10km away from the intelligent terminal is a hierarchical area. Before the monitoring station transmits data to the intelligent terminal through the monitoring system, the monitoring station will receive data transmitted by the nearest monitoring station within 10km of itself in the next lower level area based on the ratio of the number of monitoring stations in its own level area to the number of monitoring stations in the next lower level area. Based on the time sequence information, the monitoring station will transmit the data together with the data it monitors to the next higher level area or the intelligent terminal.

3. The comprehensive monitoring instrument for macroscopic earthquake fields according to claim 2, characterized in that, The front-end sensor equipment specifically includes a four-component borehole strain gauge, a high-precision GNSS, a deep well water level and temperature gauge, a three-component magnetometer, and an image sensor. These are used to monitor the volumetric strain data of the earth's crust, the three-dimensional position data of the earth's surface, the changes in water level and temperature in the well, the three-component changes in the geomagnetic field, and the environmental data around the monitoring station, respectively, and transmit the monitored data to the data receiving and transmission module.

4. The comprehensive monitoring instrument for macroscopic earthquake fields according to claim 3, characterized in that, The data in question include crustal deformation data, groundwater dynamic data, and electromagnetic variation data. The crustal deformation data is derived from the analysis of the volumetric strain data of the crustal rocks and the three-dimensional position data of the Earth's surface. The groundwater dynamic data is derived from the analysis of the water level and temperature changes in the monitoring wells. The electromagnetic variation data is derived from the analysis of the three components of the Earth's magnetic field.

5. A comprehensive seismic macroscopic field monitoring instrument according to claim 4, characterized in that, When the analysis module analyzes the data of various indicators, it also analyzes the environmental data around the monitoring station. Specifically, it analyzes whether there are any significant changes in the environment around the monitoring station in order to eliminate the impact of environmental changes on the detection data of the four-component borehole strain gauge, high-precision GNSS, deep well water level and temperature gauge, and three-component magnetometer.

6. The comprehensive monitoring instrument for macroscopic earthquake fields according to claim 1, characterized in that, The processing module also includes a construction unit. This construction unit downloads historical earthquake information from the big data network for each monitoring station and plots time-series curves of crustal deformation, underground fluid dynamics, and electromagnetic changes for that monitoring station based on the historical earthquake information. These data are then specially marked on the time-series curves. After the processing module completes the comprehensive processing of the earthquake information, the construction unit also synchronizes the index data from the analysis results to the corresponding time-series curve for that monitoring station.

7. A comprehensive seismic macroscopic field monitoring instrument according to claim 6, characterized in that, The specific process of the comprehensive processing of earthquake information is as follows: the index data is compared with the time series curves of the corresponding monitoring stations, and an early warning signal is sent according to the comparison results. If three index data are all greater than or equidistant from the marked data at the same time, an alarm signal is immediately sent to the early warning release module. If the other cases are not present, an early warning message is sent. If none of the above occur, no signal is sent.

8. A comprehensive earthquake macroscopic field monitoring instrument according to claim 7, characterized in that, When the processing module compares the index data with the time series curve of the corresponding monitoring station, it will also compare the index data with the index data in the past period. If an electromagnetic step change of more than 10mV / km, a directional deformation of more than 5μrad in the crust, and a large change in the temperature and level of groundwater occur at the same time, an alarm signal will be sent to the early warning release module immediately. If the other situations occur, an early warning message will be sent. If none of the above occur, no signal will be sent.

9. A comprehensive earthquake macroscopic field monitoring instrument according to claim 8, characterized in that, The storage module receives monitoring data, analysis results, and processing results. When storing data, the storage module aggregates and saves monitoring data, analysis results, and processing results of the same time sequence based on the time sequence information carried by the monitoring data, analysis results, and processing results. When storing data, the storage module saves data in segments in a 7×24h manner.

10. A comprehensive seismic macroscopic field monitoring instrument according to any one of claims 1-8, comprising a monitoring station and an instrument compartment, characterized in that; The monitoring station is equipped with a monitoring well that penetrates 200m into the ground. A deep well water level and temperature gauge is installed inside the monitoring well. A borehole is drilled at the bottom of the monitoring station, and a four-component borehole strain gauge is installed at the bottom of the borehole cavity. A high-precision GNSS, image sensor, and solar charging device are installed at the top of the monitoring station, each located at one corner of the station. A three-component magnetometer is installed on the ground outside the monitoring station. A large-capacity battery pack is located next to the instrument compartment.

Images