WO2016201759A1 - 基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法 - Google Patents
基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法 Download PDFInfo
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Definitions
- the invention relates to the field of geomagnetic anomaly monitoring, and more particularly to a global seismic geomagnetic anomaly big data monitoring and early warning system based on mobile internet and a monitoring and early warning method.
- the earthquake is one of the major natural disasters facing humanity. Without any measures, the damage caused by a strong earthquake is enormous. Based on this, all countries in the world are committed to earthquake monitoring and early warning research to prevent and reduce natural disasters caused by earthquakes.
- the earthquake is the natural disaster with the largest number of deaths and injuries. China is the country with the most serious earthquake disasters in the world.
- earthquake precursor observation phenomena mainly include: obvious changes in the surface, geophysical anomalies such as geomagnetism, geoelectricity, gravity, and abnormal behaviors of groundwater level, water chemistry and animals.
- geophysical anomalies such as geomagnetism, geoelectricity, gravity, and abnormal behaviors of groundwater level, water chemistry and animals.
- the short-term alarm is mainly to use the seismic longitudinal wave, that is, the P wave and the transverse wave, that is, the S wave propagation speed different alarms, including the sensing physical displacement based on the smart phone gps sensor and acceleration sensor developed in the United States, and the seismic wave transmission time difference in the United States, China, Japan, and Mexico.
- the earthquake alarm system which is a blind zone after the earthquake and within the range of about 20 kilometers away from the epicenter and most needs to escape, cannot be predicted in advance. Generally only about 10 seconds of escape time, for individuals, is basically an invalid alarm method. On the surface of the above problems, effective early warning before the earthquake has become a worldwide problem.
- geomagnetic monitoring is an effective means for monitoring earthquakes in the seismic field, and it is a companion phenomenon with relatively determined earthquakes. Effective monitoring should be strengthened. There are a large number of exact cases and theoretical basis for geomagnetic anomalies before the earthquake.
- the abnormal magnetic field values at 1 km from the epicenter are about 450 nT, 2900 nT, 18000 nT, and 90000 nT, respectively.
- the method commonly used in global geomagnetic monitoring is to set up seismic monitoring stations or flow monitoring points in various places to monitor geophysical parameters related to earthquakes, such as changes in geomagnetism and/or stress.
- earthquakes early warning of earthquakes, but due to the high cost of new construction and maintenance of monitoring points, the number of distribution is very limited, it is difficult to have an opportunity to get close to the epicenter, and the effective data collected is very small, which is not enough to make pre-earthquake warning based on geomagnetic anomaly data.
- SRO Global Seismic Observatory System
- the most important feature of the system is that the seismometers used are installed underground for about 100 meters to eliminate surface noise in the working frequency band.
- China had a total of 169 geomagnetic stations in 1984.
- the normal working ratio is 30%.
- China has built a nationwide three-level geomagnetic observation network, including 37 reference geomagnetic stations of the China Earthquake Administration system and the Chinese Academy of Sciences system.
- a geomagnetic station level network There are 607 other field observation points of 70 to 250 kilometers. A total of 647.
- Beijing Jinghai Geomagnetic Station is the only geomagnetic comprehensive observation professional station in the metropolitan area. It adopts carbon fiber non-magnetic technology construction, with high construction requirements and high cost.
- Geomagnetic monitoring requires a global layout.
- Mobile Internet, cloud computing, and rapid development of big data are the technical foundations for the earthquake geomagnetic monitoring and early warning model changes, and will certainly bring unprecedented breakthroughs.
- Mobile Internet smart terminals have more than 1.6 billion smartphone users, and tablet users will exceed 1 billion in 2015. According to eMarketer's data at the end of 2014, global smartphone users will exceed 1.6 billion. In 2015, tablet users will exceed 1 billion; through cloud computing platforms. Users do not need to invest heavily in hardware, spend a lot of time to maintain and manage these hardware, and provide low-cost high-speed computing and more secure mass storage, backup and other services, and quickly achieve global multi-regional layout.
- Amazon has 11 regional clouds and 28 data centers, servers 1.5 million to 2 million, Google has 8 data centers, servers million, Microsoft 17 regional clouds, and servers are close to one million.
- Amazon Cloud has more than 1.4 million, and Amazon is close to one million.
- Cloud computing can calculate the amount of computing in the past few months in a few days, the reserve is from PB to PB, and the price is cheaper; in big data applications, the Los Angeles Police Department and the University of California collaborate to use big data to predict the occurrence of crime, Google Flu Trends (Google Flu Trends) uses search keywords to predict the spread of avian flu, and statistician Nate Silver uses big data to predict cases such as the 2012 US election results.
- the related technology provides an international geomagnetic network (INTERMAGNET), which is also a global data sharing, but it is a professional station construction mode, the data is seriously insufficient, there are only about 144 network stations in the world, and the professional geomagnetic stations in various countries.
- Industry International geomagnetic Network
- Related technology proposes that mobile phone sensors monitor geomagnetism, but the stand-alone mode cannot be implemented in a networked state, and large data cannot be realized. deal with.
- the application number is 201510049262.1, and the patent entitled “Seismic Data Recording and Analysis System Based on Mobile Phone Seismic Monitoring Network” records that "the vibration and geomagnetism of each position monitored before, during and after the earthquake are obtained by mobile phone recording and earthquake acquisition.
- the continuous change with time aims to provide a more comprehensive system than the traditional seismic station monitoring data, which can solve the problems of insufficient seismic data of professional seismic stations, insufficient data after earthquake, and insufficient aftershock data.
- the data error can be more than 15% when moving. It lacks the definition of magnetic field range that can be monitored by non-professional sensors, and lacks research on seismic geomagnetism.
- the precision of professional equipment can reach 0.1nT.
- Level while the accuracy of mobile phone magnetic field sensor is generally 40 ⁇ 200nT, the basic variation of environmental interference is generally about ⁇ 500 ⁇ 1500nT, so its proposed "providing more comprehensive data than professional geomagnetic table" is inaccurate and impossible to achieve. .
- the object of the present invention is to propose a global seismic geomagnetic anomaly big data monitoring and early warning system based on mobile internet and a monitoring and early warning method.
- a global seismic geomagnetic anomaly big data monitoring and early warning system based on mobile internet including a mobile terminal, the mobile terminal is bidirectionally connected with the middle layer, and the middle layer is bidirectionally connected with the total control cloud;
- the intermediate layer includes a distributed cloud computing unit, a distributed mass storage unit, an automatic structured allocation unit, and a data filtering unit;
- the total control cloud includes a comprehensive analysis unit, a decision unit, and a management subsystem.
- the mobile terminal is a smart phone or a tablet computer
- the smart phone or the tablet computer is configured with a direction sensor, a geomagnetic sensor and a gravity sensor.
- the direction sensor is a two-axis sensor including an X-axis and a Y-axis or a three-axis sensor including an X-axis, a Y-axis, and a Z-axis.
- the mobile terminal adopts an Apple IOS operating system or an Android operating system, or a Windows phone operating system.
- the invention also provides a monitoring and early warning method for a global seismic geomagnetic anomaly big data monitoring and early warning system based on the mobile internet, comprising the following steps:
- the geomagnetic sensor signal is collected, and the average magnetic field strength TA is calculated in the time period T or N collected data, and the collected data is greater than or less than TA.
- the data of 1000 ⁇ 3000nT is the abnormal value of the magnetic field; the average value ZA of the variation value of any value of the xyz axis is calculated simultaneously with the abnormal value of the magnetic field.
- the value of any value of the xyz axis is greater than or less than 5 ⁇ of the ZA value. 20% is the coordinate outlier;
- the mobile terminal transmits normal value data to the middle layer every hour through GPRS or WLAN or WIFI;
- the mobile terminal When abnormal data is present, the mobile terminal transmits to the intermediate layer via GPRS or WLAN or WIFI;
- the percentage of the abnormal data is greater than 50%
- the maximum concentration area, the decreasing trend of the abnormal data, and the distribution shape are marked on the map.
- the invention utilizes a cloud computing platform such as Amazon AWS, Facebook Cloud, Google, Microsoft, etc., and is divided into three layers: 1. an acquisition end; 2. an intermediate layer; 3. an analysis end; Different from the prior art single-machine, local area network and server modes, the method of the present invention is more adaptable to the needs of globalization and big data.
- a cloud computing platform such as Amazon AWS, Facebook Cloud, Google, Microsoft, etc.
- the globalization layout utilized by the present invention avoids insufficient data.
- the advantages of traditional professional geomagnetic stations are high precision, good anti-interference, and the inadequacies are as before analysis, mainly due to construction and maintenance costs, and the layout is seriously insufficient.
- Other proposals for using mobile phones to monitor and record earthquakes lack a global layout idea, and the collection end Limited to mobile phones, there is a lack of definition of the scope of mobile phone sensor monitoring.
- the invention adopts a cloud computing platform as a carrier, uses a mobile terminal as a collection point, considers seismic uncertainty on the acquisition layout, and adopts a global layout method to collect data; changes the past geomagnetic monitoring single machine or local area network, single country, regional mode The problem of insufficient effective data volume is also included in the collection of geomagnetic station data published by countries in real time.
- the mobile terminal is fully covered and the configuration is guaranteed.
- the existing geomagnetic monitoring is generally a professional equipment. It is proposed to use small sensor equipment, a single electronic compass, and a mobile phone to collect data, but it lacks from the perspective of full coverage of mobile terminals. According to eMarketer's data at the end of 2014, there are 1.64 billion smartphone users worldwide, 1 billion tablet users in 2015, and more than 1.6 billion smartphones and tablets.
- the existing smartphones are basically equipped with geomagnetic sensors, gravity sensors, and direction sensors.
- And positioning module such as GPS
- the high-end smart phone is also equipped with a gyro sensor
- the sensor configuration of the smart phone can fully meet the collection needs of the system; in addition, the high-end tablet computer geomagnetic sensor and direction sensor, gravity sensor Basically standard, smartphones and tablets are fully compliant with low-cost construction and a wide range of standard.
- the sensor combination relationship is first proposed to effectively eliminate interference factors such as human swaying.
- the characteristics of mobile terminals are mobility. After testing, the mobile terminal generates up to about 15% of data changes while moving.
- the invention effectively eliminates data anomalies caused by human shaking by the sensor combination relationship.
- the use of the mobile terminal as the collection point must be considered without affecting the normal use of the user, and does not affect the effective collection of the geomagnetic data.
- a high-frequency acquisition is proposed, even if the acquisition frequency of the geomagnetic sensor in the mobile terminal is as close as possible to the geomagnetic wave.
- the sampling frequency of most geomagnetic stations at home and abroad is relatively low, mostly once per second.
- the acquisition frequency of six geomagnetic stations in Sichuan is the same, only the newly built asbestos table is 50 times per second.
- the geomagnetism was not a continuous eruption. Through the actual observation by the inventors and the research at home and abroad, the magnetic intermittent eruption was exhibited.
- Geomagnetic waves may even be anomalous for a few hundredths of a second.
- global acquisition and analysis of geomagnetic waves is also considered to be an effective method based on long-wavelength, ie, low-frequency and very low-frequency bands, but such a variation frequency may also reach tens to hundreds of thousands of kilohertz, so only a higher sampling frequency is possible to monitor.
- the use of key data acquisition is easier for the user to accept. Therefore, the system monitors the sudden change of the geomagnetic anomaly in 0.1 second to 60 seconds as the warning basis for the collection. This is the change data collected by the present invention, not for 24-hour continuous recording. Continuous acquisition will generate a large amount of invalid data.
- the system focuses on collecting abnormal data, so that the data transmission volume, power consumption, and memory usage of the collection side are smaller, and the background operation is easier for mobile terminal users to accept.
- the invention in addition to GPRS or WLAN or WIFI, the invention also increases the way of smart phone short message mutual transmission information, Bluetooth and short-range directed search and rescue, so that the information transmission mode is more diverse, real-time and full coverage;
- the big data of the cloud computing platform supports the global participation in seismic geomagnetic monitoring.
- cloud computing platforms such as Amazon, Ali, Google, and Microsoft
- the on-demand cost is lower, and the global layout can be quickly realized, which is more secure: low-cost distributed acquisition, distributed high-speed computing, distributed storage, backup, and virtual Big data management and analysis based on cloud computing technologies such as structural and automated management;
- the simulation detects the logical relationship between the geomagnetic anomaly and the sensor of the mobile terminal device.
- the non-professional geomagnetic sensor is used as a monitoring tool to analyze the effectiveness and data range of the monitoring magnetic field of each sensor in the mobile terminal. Because the mobile terminal sensor is not a professional device after all, its monitoring effective range and precision are limited. By comparison detection, non-professional sensors Due to the environmental interference and accuracy problems, the abnormal value of the large-variable magnetic field is set to be effectively monitored. As shown in Figure 1, the corresponding value is about 6.5-7 or larger earthquake, considering that the epicenter magnetic field changes more.
- Figure-A is the magnetic field anomaly projection data 1 km away from the epicenter.
- the degree of close relationship between geomagnetism and earthquake may be higher.
- Monitoring and recording seismic-related data with mobile terminals is a supplement to existing professional geomagnetic stations and a low-cost means for geomagnetic monitoring of destructive large earthquakes;
- a variety of non-seismic geomagnetic anomaly data filtering methods Including strong magnetic field environments such as magnets, high-power appliances, power supplies, etc. around the mobile terminal users can cause abnormal magnetic values in non-moving states.
- the data is analyzed by big data to analyze the proportion of abnormal users, and the traditional data based on individual station points is changed. It is difficult to distinguish the geomagnetic anomalies caused by the station equipment abnormalities or other interferences. For global large-scale interference factors such as solar storms, Global big data comparison can also effectively identify.
- Pre-earthquake early warning is of great significance.
- the existing professional geomagnetic station point data is difficult to support the early warning data provided by the earthquake.
- the present invention is directed to the existing major geomagnetic anomaly relationship.
- the anomaly from the earthquake occurred to 36 hours before the earthquake, about two hours before the earthquake.
- Experience data such as large values appear, based on the data collected by each geographic location point, after grouping and statistic statistics, according to the preliminary correspondence between earthquake and geomagnetic change, combined with Figure 1, the largest data on the electronic map can be marked by cloud computing.
- the value concentration area the abnormal data declining trend and the distribution shape, thereby deducing the possible epicenter fracture segments, magnitudes, and deriving the earthquake time range in Figure 4, and forming an early warning mechanism after the occurrence of major geomagnetic anomaly data.
- pre-earthquake early warning is still a worldwide problem, because the lack of effective data can not effectively compare the complex relationship between earthquake and geomagnetism, but just as the weather forecast turns the weather into a basic forecast, the present invention is monitored globally. Big data analysis helps The seismic geomagnetic relationship will be further clarified at an early date to provide more accurate support for earthquake warning. At the same time, from the severe geomagnetic anomalies of several major earthquakes such as the Wenchuan earthquake, at least in the future, similar earthquakes include their geological structure, epicenter depth, and epicenter.
- the present invention can play an active pre-earthquake early warning effect, and the present invention will also promote the popularization of the knowledge of the earthquake and geomagnetism, and try to avoid the tragedy like Beichuan Middle School.
- the so-called early warning is an alarm that uses different seismic wave transmission speeds after the earthquake.
- Government agencies may also pass or authorize the platform to publish information based on users in different geographical locations by means of network and SMS, provide individualized and differentiated directions for transfer directions, resettlement information, etc. Congestion caused by panic, trampling, etc., wrong direction of transfer, etc.
- the invention adopts the mature and low cost of the cloud computing platform for the first time, realizes the global distributed seismic geomagnetic abnormal big data through the huge hardware cost input of the huge mobile terminal users around the world, and simultaneously collects the magnetic data of the mobile terminal and the big data to eliminate the mobile terminal.
- Interference factors propose effective solutions, which are unprecedented innovations in earthquake prediction, seismic geomagnetic monitoring and early warning.
- the invention ensures the realization of global collection, high-speed calculation, mass storage, simple maintenance, etc. through the cloud computing platform, and is greatly promoted on the acquisition and early warning method of seismic geomagnetic observation; the realization of the system is expected to pass large in a short time.
- the invention includes information for providing big data support such as pre-earthquake geomagnetic abnormality warning, personalized disaster emergency warning and transfer, and the likes of government agencies around the world as decision-making reference, and the casualties caused by large earthquakes and other disasters in densely populated areas. Perhaps because of the implementation and continuous deepening of this system, the efforts of global scientists have been greatly reduced.
- the invention uses a global mobile terminal with zero hardware cost at the collection end, and the analysis and storage and utilization cloud computing platform is also almost a zero hardware input mode, which realizes a qualitative change compared with the past mode. With the effect of monitoring, the global seismic observation A large number of new construction investment, maintenance and maintenance costs in geomagnetic monitoring and other aspects are expected to be greatly reduced due to the effective implementation of this program.
- FIG. 1 is a graph showing a relationship between a maximum abnormal value of a magnetic field and a magnitude at a distance of 1 km from the epicenter according to an embodiment of the present invention.
- FIG. 2 is a schematic structural diagram of a global seismic geomagnetic anomaly big data monitoring and early warning system based on the mobile Internet according to an embodiment of the present invention.
- FIG. 3 is a schematic structural diagram of a mobile terminal in a global seismic geomagnetic anomaly big data monitoring and early warning system based on a mobile Internet according to an embodiment of the present invention.
- FIG. 4 is a flow chart of a global mobile geomagnetic anomaly big data monitoring and early warning method based on the mobile Internet according to an embodiment of the present invention.
- FIG. 5 is a schematic diagram showing the distribution of abnormal magnetic field values according to an embodiment of the present invention.
- FIG. 6 is a schematic diagram of a transfer direction according to an embodiment of the present invention.
- the present invention provides a global seismic geomagnetic anomaly big data monitoring and early warning system based on mobile internet, including a mobile terminal 1, a mobile terminal 1 and a middle layer 2 bidirectionally connected, an intermediate layer 2 and a total control cloud 3 Two-way connection
- the intermediate layer 2 includes a distributed cloud computing 204 unit, a distributed mass storage 201 unit, an automatic structured allocation 203 unit, and a data filtering 202 unit;
- the total control cloud 3 includes a comprehensive analysis 301 unit, a decision 303 unit, and a management subsystem 302.
- the mobile terminal 1 is a smart phone or a tablet computer, and the smart phone or tablet computer is configured with a direction sensor 101, a geomagnetic sensor 103, and a gravity sensor 102.
- the direction sensor 101 is a two-axis sensor including an X-axis and a Y-axis or a three-axis sensor including an X-axis, a Y-axis, and a Z-axis.
- the mobile terminal 1 adopts an Apple IOS operating system or an Android operating system, or a Windows phone operating system.
- the invention also provides a monitoring and early warning method for a global seismic geomagnetic anomaly big data monitoring and early warning system based on the mobile internet, comprising the following steps:
- the geomagnetic sensor 103 signal is collected, and the average magnetic field strength TA is calculated in the time period T or in the N collected data, and the collected data is greater than or
- the data smaller than the TA value of 1000 to 2500 nT is the magnetic field abnormal value;
- the absolute value ZA of the average value of the value of the xyz axis is calculated simultaneously with the abnormal value of the magnetic field, and the value of the xyz axis is larger or smaller than the value of the collected data.
- 5 to 20% of the ZA value is a coordinate abnormal value;
- the mobile terminal 1 transmits the normal value data to the middle layer 2 every hour through GPRS or WLAN or WIFI;
- the mobile terminal 1 transmits to the intermediate layer 2 instantaneously through GPRS or WLAN or WIFI;
- the quantity storage 201 unit stores the data, automatically allocates 203 units, and the data filtering unit 202 filters the data;
- the total control cloud 3 according to the abnormal data collected by the geomagnetic sensor 103, combined with the position signal, displayed on the map, specifically using the geographic location information analysis system Kriging interpolation method, statistical grouping method, according to the percentage of abnormal data, The maximum concentration area is marked on the map, the abnormal data is declining, and the distribution shape.
- FIG. 5 shows an area where a magnetic anomaly point appears on the map, and similar to a map contour line, a magnetic line of 1000 nT, a magnetic line of 2000, 2000 nT, a magnetic line of 9, 5000 nT, and the like, and 20000 nT are made.
- the geomagnetic anomaly point 10 is marked on the figure. That is, the point where the magnetic field abnormal value is the same point is formed.
- the middle part of the figure is the 20,000nT area 8 with the largest magnetic field outlier.
- the percentage of the abnormal data is greater than 50%, the maximum concentration area is marked on the map, the abnormal data is decremented, and the distribution shape is formed.
- the mobile internet-based global seismic geomagnetic anomaly big data monitoring and early warning system and the monitoring and early warning method collect the data collected by the smart phone or the tablet computer through the Internet, analyze the data through the total control cloud 3, and obtain the abnormal value of the magnetic field and then feed back to the data.
- a smartphone or tablet user to visually display the abnormal distribution of magnetic fields. Through the total control cloud 3 analysis, users get data with significant reference value.
- the contents of the present invention include:
- cloud computing platform For global layout and big data processing analysis, based on mobile Internet and mobile terminals, using cloud computing as a platform; using cloud computing platform for big data analysis, storage, extraction, analysis, information interaction, management, geomagnetic acquisition and transmission analysis system solution Method;
- the sensor combination of the mobile terminal configuration forms an effective magnetic data acquisition end
- the corresponding parameters are effectively set by the relationship between the magnetic field anomaly and the mobile terminal sensor, and the big data filtering analysis is solved;
- the geomagnetic anomaly data collected in the global earthquake is used to further analyze the ratio and provide further combing for the relationship between earthquake and geomagnetism. Effective big data support.
- the alarm after the earthquake the pre-earthquake early warning is almost zero.
- the possible epicenter and magnitude can be derived from the geomagnetic anomaly big data generated by the earthquake.
- the scope of the earthquake time provides powerful real-time data support for the decision-making of the relevant departments before the earthquake;
- individualized and differentiated transfer information based on the geographic location of the user's geographic location is resolved by authorizing the release of individualized differentiated information.
- the present invention utilizes a mature cloud computing platform such as Amazon, Facebook Cloud, Google, and Microsoft to implement the system, which is divided into three layers:
- the collection end realizes global distributed mass data collection through the mobile terminal, and the transmission mode transmits data through the Internet, SMS, etc.
- the middle layer realize cloud computing platform distributed big data high-speed computing, distributed mass storage, backup, data validity filtering;
- the epicenter fracture zone trend, magnitude, earthquake time, and geographically-based transfer direction and route individualized differential transfer information are provided to the government agencies as important information for decision-making and early warning through the cloud real-time summary analysis. Docking, and based on authorization to push individualized and differentiated disaster and emergency information and transfer proposals based on geographic location.
- System architecture Based on the mobile Internet, with the cloud computing platform as the support, big data analysis as a means.
- cloud computing platforms such as Ali, Amazon, Google, Microsoft, etc.
- the cloud computing platform can realize the system concept of low-cost, fast replication, safer and convenient mode on demand: distributed collection, distributed storage, distributed database, virtualization Structure and cloud computing technologies to achieve big data analysis. It is divided into three levels; global distributed a mobile terminal, b middle layer is distributed cloud computing, distributed cloud storage, automatic structured distribution, data over Filtering, c total control cloud is used for comprehensive analysis, decision making, and management subsystems.
- the mobile terminal program is downloaded by the mobile terminal user, including Android system, Apple IOS system, Microsoft WINDOWS PHONE system, and multi-language version.
- the parameter setting includes: magnetic field sensitivity parameter, local sensitivity parameter, sampling interval period parameter, sampling time length parameter.
- Magnetic field sensitivity parameter, local sensitivity parameter magnetic field environment factor of the mobile terminal and local sensitivity setting. If the mobile terminal frequently appears abnormal magnetic field warning caused by abnormal magnetic field interference factor or local sensitivity, it can increase The value of the abnormal magnetic field is set by 5 to 50% to avoid false alarms and data upload errors. At the same time, if the number of false positives of one terminal exceeds 30% of the average number of false positives of other terminals, it will also be controlled. After the big data comparison in the cloud, the user is reminded to adjust the threshold of the abnormal value.
- Sampling interval period parameter and sampling duration parameter The mobile terminal user can adjust and optimize according to the normal flow rate and power consumption data of the terminal software through the sampling interval period and the single sampling time length parameter setting.
- a mobile terminal that is, a smartphone plus a tablet, needs to have one of the following sets of configurations:
- Geomagnetic sensor and three-axis direction sensor are Geomagnetic sensor and three-axis direction sensor.
- Geomagnetic sensor and gravity sensor and X-axis and Y-axis direction sensors are Geomagnetic sensor and gravity sensor and X-axis and Y-axis direction sensors.
- Such as networking enter the next step, not connected to the Internet, prompt networking, non-online three reminders after networking Temporarily stored, uploaded after networking, if the user agrees to an abnormal forced network startup upload when registering, it is executed according to this rule.
- the mobile terminal is in a static posture judgment.
- the collection end uses the sensor combination relationship to eliminate invalid data formed by interference factors such as device shaking.
- the geomagnetic sensor starts data acquisition, according to the direction sensor, the gravity sensor and the direction sensor, one of them is preferentially ranked first, and the jump point is removed, the sliding mean filtering is performed, the numerical smoothing process is realized, and whether the mobile phone is basically in a stationary state is started.
- the direction sensor By judging the direction sensor, it is possible to detect that the smart terminal is in the vertical, vertical, left, right, and tilt states, and measure the vectors of the three axes of X, Y, and Z, respectively, as long as more than one axis data changes by more than 0 5°, it can be judged that the mobile terminal is not stationary;
- the invention adopts a magnetic field sensor plus a three-axis direction sensor or a magnetic field sensor plus a two-axis direction sensor plus a gravity sensor Z-axis data combination to judge that the terminal is in a relatively static state to start data acquisition.
- the magnetic field sensor starts collecting data.
- Collection rules Data acquisition is started every 5 to 30 minutes, and the acquisition time can be divided according to whether the user is in the fault zone.
- the data is collected.
- the terminal moves during the acquisition, and the data after the movement is invalid. If the abnormal value occurs, the terminal moves during the collection process, and the data collected in the static state needs to be simultaneously uploaded.
- the ultra-low frequency that is, the ULF band and the ultra-low frequency band, that is, the SLF band
- the range is 30 to 1500 times/ second.
- the magnetic field strength average value TA is calculated, and among the collected data, the data larger or smaller than the TA value of 1000 to 2500 nT is the magnetic field abnormal value; and the magnetic field abnormal value is simultaneously calculated by the xyz axis.
- the average value ZA of the value change value, in the collected data, the value of any value of the xyz axis is greater than or less than 5 to 20% of the absolute value of the ZA value as the coordinate abnormal value;
- the X-axis, Y-axis and Z-axis vectors of the geomagnetic sensor are collected and collected every 1 to 30 minutes.
- the normal data is uploaded every 1 hour, and the abnormal value data is uploaded in real time.
- the normal value is averaged and uploaded at a frequency of 1 hour. When there is no network status, it will not be uploaded, and it will be retransmitted when it is connected to the network; the abnormal value, according to all the values in the collection period, take the maximum value of single point, the minimum value of single point and its difference, the average value of the maximum 100 ⁇ 95% value, the minimum 0 ⁇ 5% value average average total, uploaded.
- the abnormal value appears. After obtaining the user's consent, the network is forcibly turned on. If the uploaded data cannot be connected to the network, the geographic location and the abnormal data value are automatically uploaded through the short message.
- the abnormal value is collected for the first time, it is collected at a high frequency of 0 to 60 seconds per interval;
- An outlier occurs 2 to 5 times in a row, that is, a single-machine warning is performed; if the single-size difference exceeds the average of 20% of the maximum and 20% of the minimum after the current acquisition is 15 to 50%, only the average is collected. It is also uploaded in real time, and it is single-machine alert.
- Warning content Please pay attention to the presence or absence of magnetic interference factors in the surrounding area, and change the place to let the mobile phone be in a static network state.
- the mobile terminal can perform local historical data storage and reading.
- the invention in addition to GPRS or WLAN or WIFI, the invention also increases the way of smart phone short message mutual transmission information, so that the information transmission mode is more diverse, real-time, full coverage; based on the geographical location of the mobile terminal user, directional transmission, real-time transmission More accurate and effective.
- the base station cell identification code ie, the Cell ID setting Bit
- wifi AP positioning ie, the GPS A-GPS positioning.
- the middle layer through the cloud computing platform such as Amazon, Ali, Google, Microsoft, etc., the middle layer realizes distributed collection, distributed high-speed computing, distributed storage, backup, and data validity filtering through the cloud computing platform.
- No hardware input such as server, management is simple and convenient, and the cost is much lower than the original, including the use of load balancing and parallel computing provided by the cloud computing platform to realize big data calculation and analysis.
- Total control cloud Electronic schematic diagram of major geomagnetic anomaly distribution: Geomagnetic data collected based on each geographical location point, with latitude and longitude coordinate values, with numerical values, uploaded to the analysis, displayed on the electronic map, you can see a certain area
- the epicenter is the fault section and magnitude.
- the schematic diagram of the distribution of major geomagnetic anomalies focuses on the Kriging interpolation method of the geographic location information analysis system, supplemented by the manual observation method and the statistical grouping method.
- the abnormal numerical values are sorted and grouped, and are grouped by 10 to 20%.
- the same group of data coordinate points are connected, and the smaller group values are automatically removed from the geographic range of the larger group of connected lines, and the sum component is smoothly connected.
- Earthquake warning information and other disaster warning information must be issued according to the authorization of relevant units or information that has been disclosed to the public.
- the early warning is divided into two types: network transmission and short message, in which the network is prioritized, and no network has opened the user with the SMS warning function.
- An alert from the system triggers a local alarm.
- the transfer direction is suggested to be implemented: the individual differentiated transfer route direction information module based on the user's geographic location.
- the geomagnetic major anomaly distribution map and the transfer diagram in the information providing timely decision-making by government agencies, according to the derived epicenter, fault zone direction, intensity change, local population and distribution, user area density, surrounding terrain, safe shelter location
- Such big data give directions for the direction of the transfer route, government agencies can pass or authorize the platform, users based on different geographical locations to publish information by means of network, SMS, etc., to provide individualized and differentiated directions for transfer directions, to avoid panic caused Congestion, trampling, and shifting directional errors, such as shifting along the fault zone.
- This method of estimating individualized transfer information based on geographic location and disaster information agrees to apply to other disasters and emergencies.
- the early warning sector very serious, serious, serious, general, and safe.
- the mobile terminal moves the method to be removed.
- the simulation detects the logical relationship between the geomagnetic anomaly and the sensor of the mobile terminal device, and effectively monitors the abnormal value of the magnetic field whose variation value is greater than ⁇ 1000 ⁇ 2500nT.
- the corresponding value is about 6.5 km away from the epicenter. Large earthquakes above the level of magnitude; the proportion of abnormal users is analyzed by big data. Only when the proportion of online effective users is more than 50% can be judged as abnormal. It is difficult to distinguish the local geodesic data based on the individual station data. abnormal;
- the solar magnetic storm according to the data related to the solar magnetic storm of the National Seismological Bureau, the magnitude of the magnetic field caused by it is about 400-500 nT, which is only equivalent to the abnormal magnetic field of the earthquake of 1 km from the epicenter of the magnitude 6 earthquake. It can be partially learned from the astronomical forecast, and its occurrence is The large area anomalies of the solar radiation surface are significantly different from the distribution of seismic regions and fault zones, and can be clearly displayed on big data.
- the change in temperature, the change in geomagnetism, etc. is a gradual change, independent of the monitoring of geomagnetic data mutations in this method.
- the change caused by the surrounding magnetic field and current magnetic field of individual users is a small proportion event, which can be eliminated by a certain proportion of online users in the same area in big data, when the proportion is smaller than 5 to 20% is excluded as invalid data. If it exceeds this ratio but is less than 50%, it will enter the guard state.
- the above judgment is based on the existing seismic geomagnetic observation records, special tests, statistical normal distribution laws, etc., and will be continuously accurate in the analysis of several large earthquake geomagnetic data in the future, but can weaken the system method of the present invention.
- the leading and effective observation of seismic geomagnetic monitoring and early warning does not constitute a substantial difference between other similar inventions and the present invention in the future; the existing mobile terminal magnetic field sensor does not need new hardware cost but has insufficient precision, and is not a technical problem of the present invention.
- we have proposed an effective solution for this phenomenon for the first time, and for the monitoring and early warning of large earthquakes, the present invention is also expected to promote the use of higher precision magnetic field sensors by mobile terminal hardware manufacturers as configurations.
- the principle and implementation method of the present invention are also applicable to fixed and non-moving hardware with magnetic field sensors and WIFI and WLAN for acquisition and communication, and as a collection and early warning device, also as protection content of the present invention.
- the invention adopts the mature and low cost of the cloud computing platform for the first time, realizes the global distributed seismic geomagnetic abnormal big data through the huge hardware cost input of the huge mobile terminal users around the world, and simultaneously collects the magnetic data of the mobile terminal and the big data to eliminate the mobile terminal.
- Interference factors propose effective solutions, which are unprecedented innovations in earthquake prediction, seismic geomagnetic monitoring and early warning.
- the invention ensures the realization of global collection, high-speed calculation, mass storage, simple maintenance, etc. through the cloud computing platform, and is greatly promoted on the acquisition and early warning method of seismic geomagnetic observation; the realization of the system is expected to pass large in a short time.
- the invention includes information for providing big data support for pre-earthquake geomagnetic abnormality warning, personalized disaster emergency warning and transfer, etc. to relevant government agencies around the world as decision-making reference, major earthquakes and other disasters
- the casualties caused by densely populated areas may be greatly reduced due to the implementation of the system and the continued deepening of the efforts of scientists worldwide.
- the invention uses a global mobile terminal with zero hardware cost at the collection end, and the analysis and storage and utilization cloud computing platform is also almost a zero hardware input mode, which realizes a qualitative change compared with the past mode. With the effect of monitoring, the global seismic observation A large number of new construction investment, maintenance and maintenance costs in geomagnetic monitoring and other aspects are expected to be greatly reduced due to the effective implementation of this program.
- the mobile terminal of the present invention can be a variety of Bluetooth-enabled handheld terminal devices, such as a Bluetooth-enabled mobile phone, a personal digital assistant (PDA).
- a Bluetooth-enabled mobile phone such as a Bluetooth-enabled mobile phone, a personal digital assistant (PDA).
- PDA personal digital assistant
- the method according to the invention can also be implemented as a computer program executed by a processor (such as a CPU) in a mobile terminal and stored in a memory of the mobile terminal.
- a processor such as a CPU
- the above-described functions defined in the method of the present invention are performed when the computer program is executed by the processor.
- the method according to the invention may also be embodied as a computer program product comprising a computer readable medium on which is stored a computer program for performing the functions described above in the method of the invention. .
- the method steps and system units described above may also be implemented with a controller and a computer readable storage device for storing a computer program that causes the controller to implement the steps or unit functions described above.
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Abstract
一种基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法。该系统包括移动终端（1），移动终端（1）与中间层（2）双向连接，中间层（2）与总控云端（3）双向连接；该中间层（2）包括分布式云计算（204）单元，分布式海量存储（201）单元，自动结构化分配（203）单元，数据过滤（202）单元；所述总控云端（3）包括综合分析（301）单元，决策（303）单元，管理子系统（302）。该方法通过互联网收集智能手机或平板电脑所采集的数据，通过总控云端（3）分析数据，得出磁场异常值再反馈给智能手机或平板电脑用户，用以直观显示磁场异常分布状态。通过总控云端（3）分析，使用户得到具有重大参考价值的数据。
Description
本发明涉及地磁异常监测领域，更为具体地，涉及一种基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法。
发明背景
地震是人类面临的重大自然灾害之一，在不采取任何措施的情况下，一次强震造成的损失十分巨大。基于此，世界各国都在致力于地震的监测和预警研究，用以预防和减少地震带来的自然灾害。
在《中华人民共和国防震减灾法》的规定中，鼓励、引导社会组织和个人开展地震群测群防活动，用以对地震进行监测和预防，而社会组织和个人得出地震预测意见应上报国家主管部门，为国家主管部门提供决策参考。
研究表明，地磁监测对地震的预防具有很重大的意义，其监测数据可以准确的对地震进行预测且可实施性强。
下面对进行地震预设的必要性和地磁监测的可行性进行详细说明：
1、地震是死伤人数最多的自然灾害，中国是全球地震灾害最严重的国家。
20世纪，全球有120万人死于地震，中国死亡60万人。据国家地震局统计数据，20世纪后半叶中国大陆不同灾种造成人员死亡数量中，地震造成人员死亡人数占54％。20世纪的统计数据表明，中国大陆人口占世界的1/4，但大陆7级以上地震次数占全球大陆地震的1/3，全球死亡人数超过20万人的地震有7次，其中4次发生在我国。
21世纪，陆地范围已经发生5次“8级大地震”。中国地震台网中
心地震预报部主任蒋海昆认为，全球地震活动以2004年苏门答腊9.0级地震为标志，已经进入了8级地震活动的高发期，呈现出类似于20世纪前半叶全球8级地震多发的态势。
上述20世纪和21世纪的数据表明，地球再次进入地震多发期，故加强对地震的监控刻不容缓。但是，目前全球的地震监测手段不能有效的进行准确的震前预警和短期预警，故对地震进行预测早已成为世界性难题。
其中，地震前兆观察现象主要包括：地表的明显变化，地磁、地电、重力等地球物理异常以及地下水位、水化学和动物的异常行为。但针对上述地震前的现象始终未能找到预测地震的有效解决方式。基于此，针目前地震预报只能做中长期若干年趋势判断。短期报警主要是利用地震纵波即P波和横波即S波传播速度不同报警，包括美国最新在研发的基于智能手机gps传感器、加速度传感器等感知物理位移，美国、中国、日本、墨西哥利用地震波传输时间差的地震报警系统，这种报警系统由于是在地震发生之后，且在距离震中最近、最需要逃生的约20公里距离范围内，属于盲区，不能提前预报。一般只有约10秒逃生时间，对个人而言，基本属于无效警报方式。以上问题表面，地震临震前有效预警成为世界性难题。
2、地磁监测和预测地震的可行性说明；其中，地磁监测是地震界公认的监测地震的有效手段，是地震较为确定的伴生现象，应该加强有效监测。大地震震前伴随地磁异常有大量确切案例和理论依据。
事实案例：
1)、2008年汶川5.12的8.0级特大地中，北川中学初二(一)班正上物理课，在震前教学用的指南针明显乱转，同学们都笑了，但是十几分钟后，大地震发生了，而北川中学新区上千名同学被掩埋。上述事例是同学和老师用生命传递的地震与地磁关联的重大信息。这一事实表明地磁可以预测地震这一规律目前鲜为人知，这也是本系统向全
球推广的意义之一。
2)、2013.4.21芦山地震第二天后，发明人本人中午在成都用智能手机电子罗盘测得度数突发性偏差2-3度，结果当天下午发生三次五级以上余震，最大5.9级。而在此前后数年，数百次打开手机电子罗盘，均未发生一次电子罗盘异常偏离(原因是因为未发生地震)。上述测量原理如下：正常偏差不超过±1度，2-3度偏差通过测试移动终端需要约2000nT—3000nT的磁场量，从距离震中约100公里，断裂带长度40公里，根据磁场强度与距离平方成反比关系，推算震中磁场瞬时变化可能高达30000nT—46000nT。
3)、2008年5.12汶川地震成都地磁台在震前36小时开始测得异常值方差达26～95倍(曾小苹、郑吉盎、王翌赕、张素琴、林云芳《震前特大地磁异常及其短临预警意义》中有介绍)。但非常遗憾由于只有单一数据，数据量不足，不能判断磁场异常来源、方向，强度变化趋势、分布范围面积等重要因素，没有作出及时预警。汶川地震69227人遇难，374643人受伤，17923人失踪。
4)其他案例记录及理论支持：
(1)在2003年6月的文献《中国地震》中报道了一些7级以上大地震前观测到ULF和LF电磁前兆信号的情况，如1989年美国洛马普列塔7.11级，1995年日本阪神7.12级地震以及1999年台湾集集7.14级地震。
(2)在中国地震局林云芳、曾小苹、续春荣《地磁方法在地震预报中的应用》中还报道了1855年江户大地震磁铁失去磁性；1970年云南通海7.8级大地震前广播嘈杂不清等，上述两件事实均表明了地震对地磁的影响重大。
其中，地磁影响地震的主要是原因如下：在地震的孕育发展过程中，由于地下应力作用，地下岩石的物理、化学性质就要发生变化，从而导致地下岩石磁性的改变。
(3)在文献《震前特大地磁异常及其短临预警意义》2011年11期《中国工程科学》中记载：作者(包括曾小苹、郑吉盎、王翌赕、张素琴、林云芳)在汶川大地震后不久到灾区，调查证实了重灾区北川县在距地震发生5个多小时前，就已有指南针指向错误等磁场紊乱的现象。并且北川中学在地震发生前13min，有全班学生集体观察到物理课上指南针教具不规则转圈直至地震发生的奇怪现象。
《纽约时报》在1858年曾报道当年11月11月，葡萄牙Setubal的地震发生前，在葡萄牙当地也有指南针异常，甚至航海罗盘指针转圈的现象。
目前的技术中，对临震前磁异常的时空分布规律难以深入探讨。其中缘由，一是专业的地磁仪器布点密度相对很低，大地震作为小概率事件的发生，很难有专业的地磁仪器恰好在震中附近，难以录到很小范围内的磁场变化；据估计，对于震级(M)：6～9.5级的破坏性强震，在震中附近1km处，临震前的地磁ULF异常信号值可以高达10nT～105nT量级，可以与地球磁场量级相比拟。
由图1可看到，当震级M为6、7、8、9时，距震中1km处的异常磁场值分别约450nT、2900nT、18000nT和90000nT。
上述研究可以解释不同环境下，包括2008年汶川8级大地震前，地磁异常在极震区的变化可引起指南针不规则扰动、偏转甚至转圈的异常现象。
这表明：强震即将发生前，震中局部地区存在磁场紊乱和磁喷异象。不幸的是，此前人们忽视了大自然在大地震前通过地磁扰动发出的强烈警告信号。
3、目前全球地磁监测受到建设及维护成本高的制约，数量分布非常有限。
全球地磁监测普遍采用的方法是在各地设置地震监测站或流动监测点来监测与地震相关的地球物理参数，如地磁和/或应力等的变化来监
测预警地震，但因监测点的新建及维护成本较高，分布数量非常有限，很难有机会靠近震中，采集的有效数据非常少，不足以对根据地磁异常数据作出震前预警，这也是当今世界各国在地震监测、预警中面临的一大难题。例如全球地震观测台系统(SRO)始建于1974年，该系统最大特点是所使用的地震计都安装在井下约100米，以排除工作频带内的地表噪声，全球仅有11个台；90年代开始地磁科学家们建立了国际地磁台网(INTERMAGNET)，截止该台网2013年4月公布的数据，全球仅有20多个国家地区的约144个地磁台站入网。中国在20世纪50～60年代先后建成地磁台，如1953年长春，1954北京，1956拉萨等，俗称“老八台”，根据国家地震局公布的数据，我国到1984年共有地磁台点169个，正常工作比例30％，根据2004年1月21日《人民日报》报道，中国建成全国范围内的三级地磁观测网络，其中，中国地震局系统的37个基准地磁台和中国科学院系统的3个地磁台一级网络。其他70～250公里的野外观测点607个。共计647个。比如北京静海地磁台是首都圈地区唯一的地磁综合观测专业台，采用碳纤维无磁技术建设，施工要求高，成本较高。
4、要想较为准确地监测地磁异常变化，必须密集布点，但实际很难做到。根据地磁强度与距离的平方成反比的关系，理论上大约需要一平方公里设一个监测点才能对震中进行有效观察，除开无人区，这样的布点数量对设备采购、建设维护管理成本的增加几乎是不可能作到的。同时，要想有效进行数据分析，必须是多台点数据组合分析，才能剔除异常数据，必须根据地磁数据在不同台点的的变化强度判断磁场异常源地理位置，波及范围等数据，这只有大数据才能完成，不是现有的地磁台点模式能胜任的。
5、地磁监测需要全球布局。
地震发生的不确定性，即使在一个国家或地区，增加地磁台点，由于地震发生的不确定性，仍然在短时间甚至几十年监测不到有效数
据。综上所述，对地震反应最明显直接的地磁异常监测布点与有效数据严重不足，地震与地磁对应逻辑关系数据不足，使之成为长期以来世界各国都在致力于地震的监测,却未能作出一次震前预报的根本原因之一。
6、移动互联网、云计算、大数据快速发展是地震地磁监测、预警模式变革的技术基础，也必将带来前所未有的突破。移动互联网智能终端中智能手机用户已经超过16亿，平板电脑用户2015将超过10亿，据eMarketer2014年底数据，全球智能手机用户超16亿，2015年平板电脑用户将超10亿；透过云计算平台，用户无需先期巨资投入硬件，再花大量时间来维护和管理这些硬件，并可提供低廉的高速计算及更安全的海量储存、备份等服务，并可快速实现全球多区域布局。亚马逊有11个区域云和28个数据中心，服务器150万-200万台，谷歌有8个数据中心，服务器百万，微软17个区域云，服务器也接近百万。用户量级上，阿里云有140多万，亚马逊接近百万。云计算可以几天完成过去几个月的计算量，储备量从TB达到PB,且价格更便宜；在大数据应用方面，洛杉矶警察局和加利福尼亚大学合作利用大数据预测犯罪的发生，谷歌流感趋势(Google Flu Trends)利用搜索关键词预测禽流感的散布，统计学家内特.西尔弗(Nate Silver)利用大数据预测2012美国选举结果等案例。
通过上述信息和数据来看，地磁监测对地震的预防具有很重大的意义，但是，其并未被广泛的进行应用。。
基于此，相关技术提供了一种国际地磁台网(INTERMAGNET)，其也是全球数据共享，但其是专业台点建设模式，数据严重不足，全球只有约144个联网台，各国的专业地磁台点，均存在建设维护成本高，布点不足以及有效数据不足的问题，同时缺乏与地震地磁异常大数据进行的实时自动预警应分析。相关技术还提出了手机传感器监测地磁，但是单机模式，无法在联网的状态下实施，也就无法实现大数据
处理。
另外申请号为201510049262.1，名称为《基于手机地震监测网络的地震数据记录分析系统》的专利中记载，“用手机记录与地震获得地震前、中、后各阶段监测到的各位置的震动、地磁随时间的连续变化数，目的在于提供一种比传统地震台站监测数据更全面的系统，可以解决专业地震台站地震数据不足、震后数据不足、余震数据不足等问题”。但缺乏移动设备使用晃动异常数据解决手段，移动时数据误差可达15％以上，缺乏非专业传感器能监测的与磁场范围界定，缺乏对地震地磁的研究，例如专业设备精度可以达到0.1nT的量级，而手机磁场传感器的精度一般在40～200nT,受环境干扰的基本变动值一般在±500～1500nT左右，所以其提出的“提供比专业地磁台更全面数据”是不准确和无法实现的。
发明人在研究中发现，现有技术无论是不是使用地磁的方式对地震进行预测的方式均不理想，针对这一问题，目的尚未提出较好的解决方式。
发明内容
本发明的目的在于提出一种基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法。
根据本发明的一个方面，提供了一种基于移动互联网的全球地震地磁异常大数据监测预警系统，包括移动终端，移动终端与中间层双向连接，中间层与总控云端双向连接；
所述中间层包括分布式云计算单元，分布式海量存储单元，自动结构化分配单元和数据过滤单元；
所述总控云端包括综合分析单元，决策单元和管理子系统。
优选的，所述移动终端为智能手机或平板电脑，所述智能手机或平板电脑配置有方向传感器、地磁传感器和重力传感器。
优选的，所述方向传感器为包含X轴和Y轴的两轴传感器或包含X轴、Y轴和Z轴的三轴传感器。
优选的，移动终端采用苹果IOS操作系统或安卓操作系统，或Windows phone操作系统。
本发明还提供了一种基于移动互联网的全球地震地磁异常大数据监测预警系统的监测预警方法，包括以下步骤：
S1，设置移动终端采样间隔周期参数，采样时长参数；
S2，检测移动终端是否为静止状态，对方向传感或方向传感器和重力传感器所采集的数据通过跳点去除，滑动均值滤波处理，检测X轴，Y轴和Z轴数据，任一轴数据变动超过0～5°时，移动终端处于非静止状态；移动终端处于静止状态时，开始采集数据；
S3，数据采集，移动终端处于静止状态1～5秒后，采集地磁传感器信号，在时间段T内或N个采集数据中，计算磁场强度平均值TA，所采集的数据中，大于或小于TA值1000～3000nT的数据为磁场异常值；在磁场异常值同时计算xyz轴任一值变动值的平均值ZA，所采集的数据中，xyz轴任一值变动值大于或小于ZA值的5～20％为坐标异常值；
移动终端通过GPRS或WLAN或WIFI，每小时向中间层传输一次正常值数据；
出现异常值数据时，移动终端通过GPRS或WLAN或WIFI向中间层即时传输；
S4，中间层处理，分布式云计算单元对数据进行，分布式海量存储单元对数据进行存储，自动结构化分配单元，数据过滤单元对数据进行过滤；
S5，总控云端，根据地磁传感器所收集的异常数据，结合位置信号，在地图上显示，具体地采用地理位置信息分析系统克里格内插值法，统计分组法，根据异常数据百分比，在地图上标示出最大集中
区，异常数据递减趋势，分布形状；
优选的，当上述异常数据的百分比大于50％时，在地图上标示出最大集中区，异常数据递减趋势，分布形状。
一：本发明的特点及带来的有益效果：
本发明利用亚马逊AWS、阿里云、谷歌、微软等云计算平台，共分三层：1、采集端；2、中间层；3、分析端；协同高效工作。不同于现有技术中单机、局域网和服务器的模式，本发明的方式更能适应全球化和大数据的需要。
本发明利用的全球化布局、避免有效数据不足。传统专业地磁台点的优势是精度高，抗干扰较好，不足之处如前分析，主要是建设维护成本，布点严重不足；其他提出以手机监测记录地震的方案缺乏全球化布局思路，采集端仅限于手机，缺乏对手机传感器监测范围的界定。本发明以云计算平台为实现载体，使用移动终端作为采集点，在采集布局上，考虑地震不确定性，采用全球布局方式采集数据；改变了过去地磁监测单机或局域网、单一国家、地区性模式有效数据量不足问题，同时将各国对外实时公布的地磁台点数据也纳入采集范围。
移动终端全覆盖，配置有保障。现有地磁监测一般是专业设备，有提出用小型传感器设备、单机电子罗盘、手机采集数据的，但缺乏从移动终端全覆盖的角度考虑。据eMarketer2014年底数据，全球智能手机用户16.4亿，平板电脑用户2015达到10亿，智能手机和平板电脑的使用用户总数超过16亿，现有智能手机已经基本全部配置了地磁传感器、重力传感器、方向传感器和定位模块(如GPS)，并且，中高档的智能手机还配置了陀螺仪传感器，智能手机的传感器配置完全可以满足本系统采集需要；另外，中高档平板电脑地磁传感器和方向传感器、重力传感器也基本是标配，故智能手机和平板电脑完全符合低成本的建设且覆盖范围广的标配。
本发明中首次提出用传感器组合关系有效剔除人为晃动等干扰因素
监测地磁，移动终端的特点就是移动性，经测试，移动终端在移动时传感器会产生高达约15％以上的数据变化。本发明通过传感器组合关系有效剔除人为晃动引起的数据异常。
而使用移动终端作为采集点，必须要考虑不影响用户的正常使用，同时也不影响地磁数据的有效采集，提出了高频次采集，即使移动终端中地磁传感器的采集频率尽量与地磁波同步。通过了解，我们发现国内外多数地磁台采样频率较低，多为每秒一次，如四川六个地磁台采集频率均是如此，只有新建的石棉台是每秒50次。震前地磁不是持续喷发，通过本发明人的实际观察和国内外研究，是呈现磁间歇喷发。地磁波甚至可能是几百分之一秒的异常呈现。现在全球采集分析地磁波也认为基于长波即低频和甚低频波段是有效的方法，但这样的变动频率也可能达到几十到数百、数千赫兹，所以只有更高的采样频率才有可能监测到来至地球内部的蛛丝马迹的地磁异常信号；
使用重点数据采集，更容易为用户接受，故本系统是监测0.1秒～60秒内突变地磁异常突变值作为采集的预警依据，这是本发明重点采集的变动数据，不是作24小时连续记录。连续采集会产生大量无效数据，本系统重点采集异常数据，这样采集端数据传输量、耗电量、内存占用更小，后台运行，更容易为移动终端用户接受。
在数据传输方式上：本发明除了GPRS或WLAN或WIFI,也增加了智能手机短信互传信息、蓝牙和短距离定向搜救用的方式，使信息传输方式更加多样、实时，全覆盖；
基于采集端用户地理位置，定向传输，实时传输，更加精准有效。
在数据处理及分析利用上：第一次以云计算平台的大数据支撑全球共同参与地震地磁监测。通过亚马逊、阿里、谷歌、微软等云计算平台，按需付费成本更低，可快速实现全球化布局，更加安全：实现分低成本分布式采集、分布式高速计算、分布式储存、备份、虚拟化结构、自动化管理等云计算技术为基础的大数据管理与分析利用；
模拟检测了地磁异常与移动终端设备传感器的逻辑关系。用非专业地磁传感器作为监测工具，对移动终端中各个传感器监测磁场的有效性和数据范围进行分析，因为移动终端传感器毕竟不是专业设备，其监测有效范围和精度有限，通过对比检测，非专业传感器由于所处环境干扰和精度问题，设定对大变化值磁场异常值进行有效监测，如图1所示，其对应的值为约6.5-7级以上大地震，考虑震中磁场变化更大，而图-A是距离震中1公里的磁场异常推算数据。同时按本发明人实际观察案例，地磁与地震的密切关系程度可能更高。用移动终端监测记录地震相关数据，是现有专业地磁台点的补充，是针对破坏性大地震地磁监测的低成本手段；
多种非地震地磁异常数据过滤方法。包括移动终端用户周围有强磁场环境如磁铁、大功率电器、电源等都会引起非移动状态地磁值异常。此时通过大数据分析异常用户比例进行降噪，改变了传统基于个别台点数据，很难分别是台点设备异常还是其他干扰引起的地磁异常；对于太阳风暴等全球性大面积干扰因素，通过全球性大数据对比，也能有效甄别。
震前预警意义重大。现有专业地磁台点数据不足较难支持震前提供预警数据，本发明针对现有重大地磁异常关系，根据数次大震记录，异常从地震发生到震前到36小时，震前两小时左右出现较大值等经验数据，基于每个地理位置点采集的数据，分组汇总统计后，按照地震与地磁变化初步对应关系，可结合图1，通过云计算大数据分析在电子地图上标示出最大值集中区，异常数据递减趋势，分布形状，从而推导出图4中可能的震中断裂段，震级，推导震时范围，形成重大地磁异常数据出现后的预警机制。
当然，震前预警目前还是是世界性难题，因为有效数据缺乏不能有效比对分析地震与地磁复杂关系，但正如天气预报将天有不测风云变为基本可以预报，本发明通过全球一次次的监测大数据分析，有助于
早日进一步明确地震地磁逻辑关系，从而更加准确地为地震预警提供有力支持；同时从类似汶川地震等数次大地震地磁严重的异常现象看，起码今后在类似地震包括其地质结构、震中深度、震中面积等形成的地磁严重异常发生时，本发明可以起到积极的震前预警效果，本发明也将促进地震与地磁关系知识的普及，尽量避免类似北川中学的悲剧。现在缺乏有大数据支撑依据的震前预警机制，所谓的预警是地震发生后利用地震波传输速度不同的报警。
有基于用户地理位置的个体差异化转移方向信息模块。结合图5，基于地磁重大异常分布图，在提供政府机构及时决策的信息中，可以根据推导的震中、断裂带方向，震级分布，所在地人口分布、用户数区域密度，周边地形、安全避难所位置等大数据，同时给出转移方向，转移方向对断裂带上的转移安置包括与后续救援，有重大意义，如汶川地震断裂带长达240公里，转移方向错误有可能包括震后转移方向错误，都有可能带来更多损失。对其他灾害的转移，政府机构也可以通过或授权本平台，基于不同地理位置的用户以网络、短信方式等方式发布信息，提供个体化、差异化的转让方向建议，安置点信息等，尽量避免恐慌引起的拥堵、踩踏等、转移方向错误等。
本发明提供的基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法具有如下有益效果：
促进：本发明首次采用云计算平台成熟及低成本，通过全球庞大的移动终端用户零硬件成本投入，实现全球分布式采集地震地磁异常大数据，同时针对在移动终端、大数据剔除移动终端地磁采集干扰因素提出有效解决办法，这些都是地震预测、地震地磁监测预警领域前所未有的创新。本发明通过云计算平台，保障了全球采集、高速计算、海量储存、简便维护等的实现，是对地震地磁观察采集预警方法上的极大促进；本系统的实现预计有望在较短时间通过大数据积累从全球大地震和地磁对应数据中，分析找到大地震与地磁严重异常相关更多
对应参数规律，最终有望达到通过监测分析地震地磁大数据，从而更准确预报预警破坏性地震，破解破坏性地震预警世界难题。
生命：人的生命是科学技术发展首先应保护的范围。本发明包括提供震前地磁重大异常预警、个性化的灾害应急预警和转移等大数据支撑的信息给世界各国政府机构相关作为决策参考，大地震及其他灾害在人口密集区带来的伤亡，有可能因为本系统的实施和持续深入，全球科学家的努力，而大大减少。
经济：相关核设施、水库大坝、化工厂、交通等伴生灾害也将因震前的预警，得以合理部署，有序解决，相关次生灾害、人员及经济损失都将大大减轻。本发明在采集端利用零硬件成本的全球移动终端，分析储存利用云计算平台也几乎是零硬件投入模式，相较过往的模式实现了质的变化，随着监测的效果产生，全球在地震观察、地磁监测等方面的的大量新增建设投资、维护维护成本有望因本方案的有效实施而大大减少。
附图简要说明
根据下述参照附图进行的详细描述，本发明的上述和其他目的、特征和优点将变得更加显而易见。在附图中：
图1为本发明实施例示出的距震中1千米处磁场最大异常值与震级的关系曲线。
图2为本发明实施例示出的基于移动互联网的全球地震地磁异常大数据监测预警系统的结构示意图。
图3为本发明实施例示出的基于移动互联网的全球地震地磁异常大数据监测预警系统中移动终端的结构示意图。
图4为本发明实施例示出的基于移动互联网的全球地震地磁异常大数据监测预警方法的流程图。
图5为本发明实施例示出的磁场异常值分布示意图。
图6为本发明实施例示出的转移方向示意图。
附图中：1-移动终端；2-中间层；3-总控云端；101-方向传感器；102-重力传感器；103-地磁传感器；201-分布式海量存储；202-数据过滤；203-自动结构化分配；204-分布式云计算；301-综合分析；302-管理子系统；303-决策；4-错误撤离方向；5-2000nT等磁线；6-1000nT等磁线；7-正确撤离方向；8-20000nT区域；9-5000nT等磁线；10-地磁异常点。
实施本发明的方式
下面描述本公开的各个方面。应该明白的是，本文的教导可以以多种多样形式具体体现，并且在本文中公开的任何具体结构、功能或两者仅仅是代表性的。基于本文的教导，本领域技术人员应该明白的是，本文所公开的一个方面可以独立于任何其它方面实现，并且这些方面中的两个或多个方面可以按照各种方式组合。例如，可以使用本文所阐述的任何数目的方面，实现装置或实践方法。另外，可以使用其它结构、功能、或除了本文所阐述的一个或多个方面之外或不是本文所阐述的一个或多个方面的结构和功能，实现这种装置或实践这种方法。此外，本文所描述的任何方面可以包括权利要求的至少一个元素。
结合图2和图3，本发明提供了一种基于移动互联网的全球地震地磁异常大数据监测预警系统，包括移动终端1，移动终端1与中间层2双向连接，中间层2与总控云端3双向连接；
所述中间层2包括分布式云计算204单元，分布式海量存储201单元，自动结构化分配203单元，数据过滤202单元；
所述总控云端3包括综合分析301单元，决策303单元，管理子系统302。
进一步地，所述移动终端1为智能手机或平板电脑，所述智能手机或平板电脑配置有方向传感器101、地磁传感器103和重力传感器102。
进一步地，方向传感器101为包含X轴和Y轴的两轴传感器或包含X轴、Y轴和Z轴的三轴传感器。
进一步地，移动终端1采用苹果IOS操作系统或安卓操作系统，或Windows phone操作系统。
结合图2到图6，
本发明还提供了一种基于移动互联网的全球地震地磁异常大数据监测预警系统的监测预警方法，包括以下步骤：
S1，设置移动终端1采样间隔周期参数，采样时长参数；
S2，检测移动终端1是否为静止状态，对方向传感或方向传感器101和重力传感器102所采集的数据通过跳点去除，滑动均值滤波处理，检测X轴，Y轴和Z轴数据，任一轴数据变动超过0～5°时，移动终端1处于非静止状态；移动终端1处于静止状态时，开始采集数据；
S3，数据采集，移动终端1处于静止状态1～5秒后，采集地磁传感器103信号，在时间段T内或N个采集数据中，计算磁场强度平均值TA，所采集的数据中，大于或小于TA值1000～2500nT的数据为磁场异常值；在磁场异常值同时计算xyz轴任一值变动值的平均值的绝对值ZA，所采集的数据中，xyz轴任一值变动值大于或小于ZA值的5～20％为坐标异常值；
移动终端1通过GPRS或WLAN或WIFI，每小时向中间层2传输一次正常值数据；
出现异常值数据时，移动终端1通过GPRS或WLAN或WIFI向中间层2即时传输；
S4，中间层2处理，分布式云计算204单元对数据进行，分布式海
量存储201单元对数据进行存储，自动结构化分配203单元，数据过滤202单元对数据进行过滤；
S5，总控云端3，根据地磁传感器103所收集的异常数据，结合位置信号，在地图上显示，具体地采用地理位置信息分析系统克里格内插值法，统计分组法，根据异常数据百分比，在地图上标示出最大集中区，异常数据递减趋势，分布形状。
结合图5，图5显示了在地图上，出现是磁异常点的区域，同时类似地图等高线的作法，作出1000nT等磁线6，2000nT等磁线5，5000nT等磁线9，以及20000nT区域8，图上标出地磁异常点10。也就是磁场异常值的点相同的点连接形成。图中最中部，是磁场异常值最大的20000nT区域8。
结合图6，图6中指示出了错误撤离方向4和正确撤离方向7。
进一步地，异常数据百分比大于50％时，在地图上标示出最大集中区，异常数据递减趋势，分布形状。
本发明的基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法，通过互联网收集智能手机或平板电脑所采集的数据，通过总控云端3分析数据，得出磁场异常值再反馈给智能手机或平板电脑用户，用以直观显示磁场异常分布状态。通过总控云端3分析，使用户得到具有重大参考价值的数据。
下面结合本发明的缘起对本发明提供的基于移动互联网的全球地震地磁异常大数据监测预警系统及监测预警方法进行详细说明：
发明人作为汶川5.12亲历者，地震后获知北川中学千名学生、老师用生命传递的地磁严重异常与大震相关的信息后，七年来持续相关研究，2010年与电子罗盘厂家研发出电子罗盘磁场异常单机样机的知识积累，2014.5.12在博客中提出智能手机全球监测预警的思路，希望全社会推动，包括各地大震之后跑到百度贴吧宣传地震与地磁异常关系的知识，但收效甚微。看到大地震一次次发生，无数生命的消逝，非
常痛心。本次解决方案获得众多专家大力支持，在人类地震惨痛经历、5.12北川中学学生用生命再次传递出大震地磁严重异常关系后，加上在当今科学技术特别是互联网、云计算、大数据技术的快速发展，移动终端大量使用，无数次大地震地磁异常监测案例，以及全球无数地磁观察、研究工作人员上百年的过往辛勤工作、成果的基础上，在多位各专业国家级专家支持下，提出本监测预警系统综合解决方案。
本发明所包括内容：
(一)鉴于地磁监测大数据对大地震震前预警的可观察性、重大关联性、重大现实意义，需要采集更多数据进行其关系深入分析，尽快找到更多大地震与地磁逻辑关系，同时在类似汶川等大地震严重地磁异常数据出现后有效预警。本发明主要针对如下问题进行系统解决：
针对地震发生不确定性，全球化分布采集，解决地震地磁关系有效数据不足问题；
针对全球布局和大数据处理分析，基于移动互联网及其移动终端，以云计算为平台；用云计算平台进行大数据分析、储存、提取、分析、信息交互、管理的地磁采集传输分析的系统解决办法；
针对在采集上的数量不足和数据可靠性有效性问题，基于全球移动终端用户地理位置，移动终端配置的传感器组合，形成有效地磁数据采集端；
针对地震地磁震前显现的特点，改变传统地磁台主要低频次采集手段，采用较高频次采集。
针对在传输上实时性，通过GRPS(2G\3G\4G)、WLAN、WiFI、短信网络专线等全覆盖方式解决；
针对非专业设备数据有效问题，地磁干扰因素等，通过磁场异常与移动终端传感器的关系有效设置对应参数，大数据过滤分析解决；
针对为地震与地磁逻辑关系不足的问题，通过全球地震中采集到的地磁异常数据，进一步分析比，为地震与地磁关系的进一步梳理提供
有效大数据支持。
针对在数据利用上，重震后报警，震前预警几乎为零的现状，根据地震与地磁异常关系、传感器与地磁关系数据的基础上，通过地震发生地磁异常大数据推导可能的震中、震级、震时范围，为相关部门震前部门决策提供有力的实时数据支持；
针对缺乏地震或其他灾害应急事件，基于用户地理位置的转移方向个体化差异化转移信息，通过授权发布个体化差异化信息予以解决。
(二)本发明的技术方案：
针对上述问题，本发明利用亚马逊、阿里云、谷歌、微软等成熟的云计算平台为基础实现本系统，共分三层：
1、采集端，通过移动终端实现全球分布式海量数据采集，传输方式通过互联网、短信等全覆盖传输数据；
2、中间层，实现云计算平台分布式大数据高速计算、分布式海量储存、备份、数据有效性过滤；
3、总控云端，分析、决策、管理功能,逐步设立以州和大区为单位的分析中心，对接国家地区机构、采集端用户推广，监测分析当地情况，基于地磁异常位置和数值，推导可能的震中断裂带走向、震级、震时，和基于地理位置的转移方向及路线个体差异化转移信息，通过云端实时汇总分析后，提供给政府机构作为决策预警重要信息，这些信息可采用并网自动对接，并可根据授权推送基于地理位置的个体化差异化的灾害及应急信息及转让建议。
系统架构：以移动互联网为基础，以云计算平台作为支撑，大数据分析为手段。通过阿里、亚马逊、谷歌、微软等云计算平台，云计算平台可以按需付费低成本、快复制、更安全、便捷模式实现本系统设想：分布式采集、分布式储存、分布式数据库，虚拟化结构与云计算技术等来实现大数据分析。共分为三个层级；全球分布式a移动终端、b中间层即分布式云计算、分布式云储存，自动结构化分配、数据过
滤，c总控云端用于综合分析、决策、管理子系统。
采集端：通过移动终端用户下载移动终端程序实现，包括安卓系统，苹果IOS系统，微软WINDOWS PHONE系统，并且配多国语言版本。
在数据采集上：
(1)通过与手机厂家合作本应用作为内置程序，移动应用平台、移动互联网络推广，全球移动终端用户下载使用，实现以移动终端即使智能手机加平板电脑作为采集点；同时将各国对外实时公布的地磁台点数据也纳入总控云端分析范围。
(2)启动，初始化，参数设置。
第一、参数设置，包括：磁场敏感度参数、本机敏感度参数、采样间隔周期参数、采样时长参数。
磁场敏感度参数、本机敏感度参数：移动终端周边磁场环境因素和本机灵敏度设置，如移动终端频繁出现因磁场干扰因素、本机灵敏度造成的非正常原因引起的磁场异常警示，则可增大判断磁场异常的数值，按增大5～50％进行设置，避免本机误报和数据上传错误；同时，如一台终端误报次数超过其他终端平均误报次数30％以上，也会通过控制云端的大数据比对后提醒该用户调整异常值的阈值。
采样间隔周期参数、采样时长参数：移动终端用户可根据本终端软件正常流量，耗电量数据，通过采样间隔周期、单次采样时长参数设置调整优化。
第二、传感器检查：
移动终端即智能手机加平板电脑，需要有如下几组配置之一：
地磁传感器和三轴方向传感器。
地磁传感器和重力传感器以及X轴、Y轴方向传感器。
第三、网络状态检查
如联网，进入下一步，未联网，提示联网，非在线三次提醒联网后
暂时储存，联网后上传，如用户在注册时同意出现异常强制启动联网上传，则按此规则执行。
第四、移动终端静止姿态判断。
采集端用传感器组合关系剔除设备晃动等干扰因素形成的无效数据。
地磁传感器开始数据采集时，按方向传感器、重力传感器加方向传感器，先后排名优先选择其中之一，分别通过跳点去除，滑动均值滤波，实现数值的平滑处理，判断手机是否基本处于静止状态，开始采集数据地磁传感器数据；
通过判断方向传感器，可以检测智能终端处于正竖、倒竖、左横、右横，仰、俯状态，分别测量X、Y、Z三个轴方面的矢量，只要一个以上轴数据变动超过0～5°，即可判断为移动终端非静止；
对于少量低端终端，如仅有两轴方向传感器，需同时检测有无重力传感器，通过方向传感器X、Y轴矢量值，只要一个以上轴数据变动超过0～5°，或重力传感器Z轴数据变动超过0～5％，即可判断为移动终端非静止；
本发明采用磁场传感器加三轴方向传感器或磁场传感器加两轴方向传感器加重力传感器Z轴数据组合判断终端处于相对静止状态开始数据采集。
第五、磁场传感器开始采集数据
采集规则：以每5～30分钟采集一次为单位启动数据采集，可根据用户是否处在断裂带进行采集频率划分采集时间长短。
移动终端处于静止状态1～5秒后，开始采集数据，采集中终端移动，移动后的数据无效，如异常值出现时，采集过程中终端移动，则需同时上传静止状态下采集的数据。
采集频率：相较现有普通地磁观察台的较高采样频次，以超低频即ULF波段和特低频段即SLF波段为主要采样对象，范围30～1500次/
秒。在时间段T内或N个采集数据中，计算磁场强度平均值TA，所采集的数据中，大于或小于TA值1000～2500nT的数据为磁场异常值；在磁场异常值同时计算xyz轴任一值变动值的平均值ZA，所采集的数据中，xyz轴任一值变动值大于或小于ZA值的绝对值的5～20％为坐标异常值；
采集地磁传感器X轴，Y轴、Z轴矢量，每1～30分钟采集一次，正常数据每1小时上传一次，异常值数据实时上传。
采集时段内：正常值取平均值，按1小时一次的频率上传。当无联网状态不上传，联网时补传；异常值，按采集时段内所有数值大小,取单点最大数值、单点最小数值及其差值、最大100～95％值平均数、最小0～5％值平均数总平均数，上传。
第六、用户断网状态上，数据采集规则同上。
异常值出现，取得用户同意后，强制开启联网，上传数据如不能联网，自动通过短信上传地理位置和异常数据值。
第一次采集到异常值后，按每间隔0～60秒一次的高频率采集；
连续2～5次出现异常值，即进行单机警示；如单次大小值差量超过当次采集分别除去20％的最大值与20％最小值后的平均数15～50％，则只采集到一次也实时上传，同时单机警示。
警示内容：请注意周边有无磁场干扰因素，同时换个地方，让手机处于静止联网状态观察。
第七、移动终端数据储存，移动终端可以进行本机历史数据储存及读取。
在数据传输上：本发明除了GPRS或WLAN或WIFI,也增加了智能手机短信互传信息的方式，使信息传输方式更加多样、实时，全覆盖；基于移动终端用户地理位置，定向传输，实时传输，更加精准有效。
关于移动终端地理位置确定，包括：基站小区识别码即Cell ID定
位、wifi AP定位、GPS A-GPS定位。
中间层：通过亚马逊、阿里、谷歌、微软等云计算平台，中间层通过云计算平台实现分布式采集、分布式高速计算、分布式储存、备份、数据有效性过滤。无服务器等硬件投入，管理简单、便捷，同时各项成本较原来大为降低,包括使用云计算平台提供的负载均衡、并行计算等方法实现大数据计算分析。
总控云端：重大地磁异常分布电子示意图实现方式：基于每个地理位置点采集的地磁数据，有经纬度坐标值，有数值大小，上传到分析后，在电子地图上显示，可以看到某个地区地磁异常的量级及地理位置分布，根据图1中地震与地磁变化初步对应关系，根据异常信号百分比，在电子地图上标示出最大值集中区，异常数据递减趋势，分布形状，从而推导可能的震中即断裂段、震级。重大地磁异常分布示意图重点采用地理位置信息分析系统克里格内插值法，辅以人工观察法、统计分组法，统计分组法中，异常数值大小排序分组，按10～20％为一组汇总，同时将同组数据坐标点联线，较小组值自动从较大组联线地理范围中剔除连线，加和分量平滑连线。
震前预警的实现：按多次地震地磁异常变化关系看，大地震引起的地磁严重异常发生在在震前两小时开始居多，总体分布在从震前至二十四小时为主。在排除太阳高能粒子磁暴等可能大面积引起磁场异常变化因素后，当400～500nT,属于本系统过滤项，从而推导可能的震时区间，可以有较为充足的时间提供给国家相关管理部门决策参考，统一向相关区域发出预警防范通告。并可根据授权发布个体化差异化的灾害及应急信息及转让建议。
信息发布规则：地震预警信息和其他灾害预警信息需根据相关单位授权或是已经向公众公开的信息发布。预警分为网络传输和短信两种，其中网络优先，无网络对开通了短信预警功能的用户。系统发出的预警可触发本机报警。
转移方向建议实现：即基于用户地理位置的个体差异化转移路线方向信息模块。根据地磁重大异常分布图，转移示意图，在提供政府机构及时决策的信息中，可以根据推导的震中、断裂带方向，强度变化，所在地人口及分布、用户数区域密度，周边地形、安全避难所位置等大数据，给出转移路线方向建议，政府机构可以通过或授权本平台，基于不同地理位置的用户以网络、短信方式等方式发布信息，提供个体化、差异化的转让方向建议，避免恐慌引起的拥堵、踩踏，和转移方向性错误，比如沿断裂带方向转移等。本基于地理位置和灾害信息的个体差异化转移信息推算方法，同意适用于作为其他灾害及应急事件的处理。其中预警界别：非常严重，较严重，严重，一般，安全。
多种非地震地磁异常数据过滤方法。
移动终端移动方法剔除。
精度确定：模拟检测了地磁异常与移动终端设备传感器的逻辑关系，对变化值约大于±1000～2500nT的磁场异常值才有效监测，结合图1，其对应的值约为距离震中1公里的6.5级以上大地震；通过大数据分析异常用户比例，只有在线有效用户异常比例大于50％才能判定为异常，改变了传统基于个别台点数据，很难分别是台点设备异常还是其他干扰引起的地磁异常；
太阳磁暴，根据国家地震局太阳磁暴相关数据，其引起的磁场量值约为400～500nT,仅相当于六级地震距离震中1公里的磁场异常量，可部分从天文预报获知，同时其发生是太阳辐射面的大面积异常，与地震区域和断裂带的分布有显著不同，大数据上可以清晰显示。
关于气温变化、地磁日变等，是按渐进式的变化，与本方法监测地磁数据突变无关。
关于个别用户受周围磁场和电流磁场引起的变化，属于小比例事件，可以通过大数据中的同片区在线用户一定比例剔除，当比例小于
5～20％时作为无效数据剔除。超过此比例但小于50％，进入警备状态。
上述判定依据是根据现有地震地磁观察记录、专项测试、统计正态分布规律等提出的，并将在今后的若干次大震地磁大数据分析中不断精准，但并能减弱本发明的系统方法在地震地磁监测预警观察的领先性和有效性，同时也不构成今后其他类似发明与本发明的实质性不同；现有移动终端磁场传感器不用新增硬件成本但精度不足，非本发明的技术问题，同时我们正是针对此现象首次提出了有效的解决办法，和针对大震的监测预警，本发明也有望促进移动终端硬件厂家采用精度更高的磁场传感器作为配置。
单独监测与报警硬件：本发明原理及实现方法同样适用于有磁场传感器和WIFI和WLAN实现采集及通讯的固定不移动的专门硬件，作为采集、预警装置，同样作为本发明保护内容。
本发明的有益好处：
促进：本发明首次采用云计算平台成熟及低成本，通过全球庞大的移动终端用户零硬件成本投入，实现全球分布式采集地震地磁异常大数据，同时针对在移动终端、大数据剔除移动终端地磁采集干扰因素提出有效解决办法，这些都是地震预测、地震地磁监测预警领域前所未有的创新。本发明通过云计算平台，保障了全球采集、高速计算、海量储存、简便维护等的实现，是对地震地磁观察采集预警方法上的极大促进；本系统的实现预计有望在较短时间通过大数据积累从全球大地震和地磁对应数据中，分析找到大地震与地磁严重异常相关更多对应参数规律，最终有望达到通过监测分析地震地磁大数据，从而更准确预报预警破坏性地震，破解破坏性地震预警世界难题。
生命：人的生命是科学技术发展首先应保护的范围。本发明包括提供震前地磁重大异常预警、个性化的灾害应急预警和转移等大数据支撑的信息给世界各国政府机构相关作为决策参考，大地震及其他灾害
在人口密集区带来的伤亡，有可能因为本系统的实施和持续深入，全球科学家的努力，而大大减少。
经济：相关核设施、水库大坝、化工厂、交通等伴生灾害也将因震前的预警，得以合理部署，有序解决，相关次生灾害、人员及经济损失都将大大减轻。本发明在采集端利用零硬件成本的全球移动终端，分析储存利用云计算平台也几乎是零硬件投入模式，相较过往的模式实现了质的变化，随着监测的效果产生，全球在地震观察、地磁监测等方面的的大量新增建设投资、维护维护成本有望因本方案的有效实施而大大减少。
此外，典型地，本发明所述的移动终端可为各种具有蓝牙功能的手持终端设备，例如具有蓝牙功能的手机、个人数字助理(PDA)。
此外，根据本发明的方法还可以被实现为由移动终端中的处理器(比如CPU)执行的计算机程序，并且存储在移动终端的存储器中。在该计算机程序被处理器执行时，执行本发明的方法中限定的上述功能。
此外，根据本发明的方法还可以实现为一种计算机程序产品，该计算机程序产品包括计算机可读介质，在该计算机可读介质上存储有用于执行本发明的方法中限定的上述功能的计算机程序。
此外，上述方法步骤以及系统单元也可以利用控制器以及用于存储使得控制器实现上述步骤或单元功能的计算机程序的计算机可读存储设备实现。
本领域技术人员还将明白的是，结合这里的公开所描述的各种示例性逻辑块、模块、电路和算法步骤可以被实现为电子硬件、计算机软件或两者的组合。为了清楚地说明硬件和软件的这种可互换性，已经就各种示意性组件、方块、模块、电路和步骤的功能对其进行了一般性的描述。这种功能是被实现为软件还是被实现为硬件取决于具体应用以及施加给整个系统的设计约束。本领域技术人员可以针对每种具
体应用以各种方式来实现所述的功能，但是这种实现决定不应被解释为导致脱离本发明的范围。
尽管前面公开的内容示出了本发明的示例性实施例，但是应当注意，在不背离权利要求限定的本发明的范围的前提下，可以进行多种改变和修改。根据这里描述的发明实施例的方法权利要求的功能、步骤和/或动作不需以任何特定顺序执行。此外，尽管本发明的元素可以以个体形式描述或要求，但是也可以设想多个，除非明确限制为单数。
虽然如上参照图描述了根据本发明的各个实施例进行了描述，但是本领域技术人员应当理解，对上述本发明所提出的各个实施例，还可以在不脱离本发明内容的基础上做出各种改进。因此，本发明的保护范围应当由所附的权利要求书的内容确定。
Claims (10)
- 一种基于移动互联网的全球地震地磁异常大数据监测预警系统，其特征在于，包括移动终端、中间层和总控云端；所述移动终端与中间层双向实现数据通信；所述中间层与所述总控云端双向实现数据通信；所述中间层包括分布式云计算单元，分布式海量存储单元，自动结构化分配单元和数据过滤单元；所述总控云端包括综合分析单元，决策单元和管理子系统。
- 根据权利要求1所述的基于移动互联网的全球地震地磁异常大数据监测预警系统，其特征在于，所述移动终端配置有方向传感器和地磁传感器和/或重力传感器。
- 根据权利要求2所述的基于移动互联网的全球地震地磁异常大数据监测预警系统，其特征在于，所述移动终端还配置有定位模块，用于在采集到异常数据时，定位所属移动终端当前的位置信息，用以辅助异常数据上传时地理位置的精度；所述移动终端还配置有螺仪传感器和加速度传感器，用于辅助所述方向传感器和地磁传感器判断移动终端的姿态。
- 根据权利要求5所述的基于移动互联网的全球地震地磁异常大数据监测预警系统，其特征在于，所述方向传感器为包含X轴和Y轴的两轴传感器；或者，所述方向传感器为包含X轴、Y轴和Z轴的三轴传感器。
- 根据权利要求4所述的基于移动互联网的全球地震地磁异常大数据监测预警系统，其特征在于，所述移动终端为智能手机或平板电脑；移动终端预先设置有以下操作系统中的任意一种：IOS操作系统、安卓操作系统和Windows phone操作系统。
- 一种基于移动互联网的全球地震地磁异常大数据监测预警方法，所述方法采用如权利要求1-4任意一项所述的基于移动互联网的全球地震地磁异常大数据监测预警系统实现，其特征在于，所述方法包括以下步骤：S1，设置移动终端的磁场敏感度参数、感应敏感度参数、采样间隔周期和采样时长；所述磁场敏感度参数和所述感应敏感度参数用于防止移动终端因磁场干扰因素出现误报数据和误传数据；S2，检测所述移动终端是否为静止状态，以及在判断所述移动终端为静止状态时，通过所述地磁传感器采集数据；所述移动终端静止状态的判断方法为：通过方向传感器和重力传感器采集数据，并对采集的数据进行跳点去除和滑动均值滤波处理；对采集的数据进行检测，若检测到X轴、Y轴和Z轴数据中任一轴数据的变动处于0°～5°之间，则判断移动终端处于静止状态；若大于5°，则判断移动终端处于非静止状态；其中，所述采集数据包括：X轴、Y轴和Z轴中的重力值和加速度值；S3，在检测到移动终端处于静止状态1～5秒后，获取地磁传感器信号；在预设时间段T内或N个采集数据中，计算磁场强度平均值TA，并将所采集的数据中，大于或小于TA值超过第一预设范围的数据为磁场异常值，所述第一预设范围包括：1000nT～2500nT；在磁场异常值同时计算X轴、Y轴和Z轴任一值变动值的平均值的绝对值ZA，并将所采集的数据中，X轴、Y轴和Z轴任一值变动值大于或小于ZA值超过第二预设范围的坐标异常值；所述第二预设范围为5％～20％；S4，判断所述移动终端是否联网，以及在所述移动终端未联网时，生成提示信息，用以提示所述移动终端联网；在所述移动终端联网后，将移动终端采集的数据进行上传；其中，采集数据上传的过程为：移动终端通过GPRS或WLAN或WIFI、短信，每小时向中间层传输一次正常值数据；当出现异常值数据 时，移动终端通过GPRS或WLAN或WIFI、短信向中间层即时传输；S5，在所述中间层中，自动结构化分配单元对接收的采集数据进行分类，分布式云计算单元对接收的采集数据进行计算，分布式海量存储单元对接收的采集数据进行存储，数据过滤单元对接收的采集数据进行过滤；S6，总控云端利用移动终端的位置信号对地磁传感器所收集的异常数据进行绘制处理，并将处理结果在地图上显示；其中，绘制方式具体采用地理位置信息分析系统克里格内插值法和统计分组法，根据异常数据的百分比，在地图上标示出异常数据的最大集中区，异常数据的递减趋势以及分布形状。
- 根据权利要求6所述的基于移动互联网的全球地震地磁异常大数据监测预警方法，其特征在于，在上述步骤S2中，还包括：在采集数据之前，设置所述地磁传感器的采集频率与地磁波同步；控制频率设置后的所述地磁传感器监测0.1秒～60秒内突变地磁异常突变值；以及，将上述突变地磁异常突变值作为采集的预警依据的步骤。
- 根据权利要求7所述的基于移动互联网的全球地震地磁异常大数据监测预警方法，其特征在于，在上述步骤S4中，在提示所述移动终端联网预设次数后，且所述移动终端仍然未联网，则将移动终端采集的数据进行保存；在检测到所述异常数据时，控制所述移动终端强制开启联网；若检测到所述移动终端不能联网，则控制所述移动终端通过短信上传地理位置和异常数据值。
- 根据权利要求8所述的基于移动互联网的全球地震地磁异常大数据监测预警方法，其特征在于，在连续预设次数检测到所述异常数据时，进行单机警示；在检测到单次所述异常数据的大小值差量超过当次采集分别除去 20％的最大值与20％最小值后的平均数在15％-50％，实时将采集的异常数据进行上传，并进行单机警示。
- 根据权利要求9所述的基于移动互联网的全球地震地磁异常大数据监测预警方法，其特征在于，当异常数据百分比大于50％时，在地图上标示出所述异常数据的最大集中区、所述异常数据递减趋势和所述异常数据的分布形状；所述移动终端实时将采集到的数据以及进行处理的全部过程进行存储，并在接收到用户触发的查询指令时，通过历史数据的方式进行查询和读取所述查询指令对应的数据。
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| CN112965101A (zh) * | 2021-04-25 | 2021-06-15 | 福建省地震局应急指挥与宣教中心 | 一种地震预警信息处理方法 |
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| CN114615250B (zh) * | 2022-03-17 | 2023-09-01 | 重庆益尔感知数据研究院有限公司 | 一种油气储藏场站安全监测系统及监测方法 |
| CN114615250A (zh) * | 2022-03-17 | 2022-06-10 | 重庆益尔感知数据研究院有限公司 | 一种油气储藏场站安全监测系统及监测方法 |
| CN115182398A (zh) * | 2022-08-25 | 2022-10-14 | 沈阳工业大学 | 一种地震预警区域的地下水位及地表沉降预测方法 |
| CN115182398B (zh) * | 2022-08-25 | 2024-05-07 | 沈阳工业大学 | 一种地震预警区域的地下水位及地表沉降预测方法 |
| CN116228047A (zh) * | 2023-05-10 | 2023-06-06 | 应急管理部国家自然灾害防治研究院 | 一种用于地质灾害监测的数据质量评价方法及系统 |
| CN116931843A (zh) * | 2023-09-15 | 2023-10-24 | 厦门奇力夸拉网络科技有限公司 | 基于大语言模型的用户在线管理系统 |
| CN116931843B (zh) * | 2023-09-15 | 2023-11-21 | 厦门奇力夸拉网络科技有限公司 | 基于大语言模型的用户在线管理系统 |
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