CN104732728B - A kind of intelligent terminal's Pre-Alarm Earthquakes system - Google Patents

A kind of intelligent terminal's Pre-Alarm Earthquakes system Download PDF

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CN104732728B
CN104732728B CN201510112533.3A CN201510112533A CN104732728B CN 104732728 B CN104732728 B CN 104732728B CN 201510112533 A CN201510112533 A CN 201510112533A CN 104732728 B CN104732728 B CN 104732728B
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intelligent terminal
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earthquake
intelligent
data
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CN104732728A (en
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张力
杨军
黄日恒
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Beijing Changcheng Institute of Metrology and Measurement AVIC
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Beijing Changcheng Institute of Metrology and Measurement AVIC
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

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Abstract

The invention belongs to disaster reduction and prevention field, and in particular to a kind of intelligent terminal's Pre-Alarm Earthquakes system.In the range of prewarning area, present system includes 1 data center and multiple intelligent terminal 1.In prealarming process, data center picks out part intelligent terminal 1 according to data processing subcenter method for building up from dynamic in intelligent terminal 1, is set to intelligent terminal 2, and intelligent terminal 2 is also referred to as data processing subcenter.Intelligent terminal 1 and intelligent terminal 2 can adopt smart mobile phone, have the advantages that small volume, lightweight, be easy to carry, arrange that simple, cost of layout is low, monitoring terminal quantity is more, distribution is wide；By the advantage on terminal quantity, the precision for estimating earthquake epicenter position is lifted；1 Pre-Alarm Earthquakes system of intelligent terminal shortens response time by the way of sub-network, and the efficiency of earthquake pre-warning is significantly improved；Intelligent terminal 1 includes notification module, when there is earthquake, can warn user in time.

Description

Intelligent terminal early warning earthquake system
Technical Field
The invention relates to an intelligent terminal earthquake early warning system, and belongs to the field of disaster reduction and prevention.
Background
The existing earthquake early warning method is generally to arrange a plurality of earthquake measurement devices at bedrocks below the ground in a certain area. When an earthquake occurs, the earthquake measuring equipment of the earthquake area firstly sends earthquake measuring data to the earthquake early warning center. The early warning center calculates the epicenter, the earthquake magnitude, the epicenter intensity and the earthquake occurrence time according to the received data, and then sends earthquake early warning information to various earthquake early warning information receiving terminals. The method needs to manually arrange a large amount of seismic measurement equipment under the ground, has high construction cost and maintenance cost, and has high value of the seismic measurement equipment.
Disclosure of Invention
The invention aims to provide an intelligent terminal early warning earthquake system which is low in cost, accurate in prediction and capable of rapidly transmitting earthquake information to the public, aiming at the defects of the existing earthquake early warning technology.
The purpose of the invention is realized by the following technical scheme.
The invention discloses an intelligent terminal earthquake early warning system which is characterized in that: in the early warning area range, contain 1 data center and a plurality of intelligent terminal 1. In the early warning process, the data center dynamically selects part of the intelligent terminals 1 from the intelligent terminals 1 according to the data processing sub-center establishing method, and the intelligent terminals 1 are set as intelligent terminals 2, wherein the intelligent terminals 2 are also called as data processing sub-centers.
The method for establishing the data processing sub-center specifically comprises the following steps:
step 1: the early warning area is divided into a plurality of sub-areas.
The method for dividing the early warning area into a plurality of sub-areas comprises the following steps: and averagely dividing according to the longitude and latitude.
The method for dividing the early warning area into a plurality of sub-areas can also comprise the following steps: and taking the coverage area of the base station of each mobile network provider in the early warning area as a sub-area.
Step 2: and calculating the weight of each intelligent terminal 1 in the subarea.
And 3, step 3: and selecting the intelligent terminal 1 with the maximum weight value in each sub-area as the intelligent terminal 2 of the sub-area.
The method for calculating the weight of each intelligent terminal 1 in the subarea in the step 2 comprises the following steps:
step 2.1: setting a distance threshold (represented by a symbol TH), wherein TH belongs to [5,300] km;
step 2.2: selecting an unprocessed other intelligent terminal 1 from the sub-area where the current intelligent terminal 1 is located, calculating the distance (represented by a symbol L ') between the other intelligent terminal 1 and the current intelligent terminal 1, and if the distance L' is lower than a threshold TH, adding 1 to the weight of the current intelligent terminal 1; then marking the other intelligent terminals 1 as processed; and repeating the steps until the distances between the current intelligent terminal 1 and all other intelligent terminals 1 in the sub-area are calculated, and obtaining the weight of the current intelligent terminal 1.
The method for calculating the weight of each intelligent terminal 1 in the sub-area in the step 2 may also be:
step 2. a: calculating the gravity center of a subregion where the intelligent terminal 1 is located at present;
step 2. b: and (3) calculating the distance from each intelligent terminal 1 to the gravity center in the sub-area, and calculating the weight of the current intelligent terminal 1 by using a formula (2).
Wherein, wiRepresenting the weight of the ith intelligent terminal 1 of the sub-region; i is more than or equal to 1 and less than or equal to N; n is the number of the intelligent terminals 1 in the sub-area; l isiThe distance from the ith intelligent terminal of the subarea to the gravity center.
The intelligent terminal 1 and the intelligent terminal 2 are identical in composition structure, but different in function.
Intelligent terminal 1 and intelligent terminal 2 all include: the device comprises a three-axis accelerometer, a three-axis gyroscope, a magnetometer, an analysis module, a positioning module, a communication module, a data storage module and a notification module. The positioning module is specifically a Global Navigation Satellite System (GNSS).
The intelligent terminal 2 only uses the analysis module, the positioning module, the communication module and the notification module.
The data center comprises a data transmission module, a data processing module and a data storage module.
The connection relationship is as follows:
bidirectional data transmission is carried out between the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between a communication module of the intelligent terminal 1 and a data transmission module of a data center; bidirectional data transmission is carried out between the communication module of the intelligent terminal 2 and the data transmission module of the data center;
the output ends of a three-axis accelerometer, a three-axis gyroscope and a magnetometer of the intelligent terminal 1 are respectively connected with the input ends of a data storage module and an analysis module of the intelligent terminal 1; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 1 and the communication module of the intelligent terminal 1; the output end of the positioning module of the intelligent terminal 1 is respectively connected with the data storage module of the intelligent terminal 1 and the input end of the communication module of the intelligent terminal 1; the output end of the analysis module of the intelligent terminal 1 is respectively connected with the input ends of the notification module and the data storage module of the intelligent terminal 1. The output end of the data storage module of the intelligent terminal 1 is connected with the input end of the communication module of the intelligent terminal 1.
The output end of the positioning module of the intelligent terminal 2 is connected with the input end of the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 2 and the communication module of the intelligent terminal 2; the output end of the analysis module of the intelligent terminal 2 is connected with the input end of the notification module of the intelligent terminal 2.
The data processing module of the data center and the data transmission module of the data center perform bidirectional data transmission; and the data transmission module of the data center and the data storage module of the data center perform bidirectional data transmission.
The main functions of the intelligent terminal 1 are:
the method comprises the steps of utilizing a built-in three-axis accelerometer, a three-axis gyroscope and a magnetometer to collect three-axis acceleration signals, three-axis angular velocity signals and three-axis magnetic induction intensity signals of the intelligent terminal 1 in real time, storing the three-axis acceleration signals, the three-axis angular velocity signals and the three-axis magnetic induction intensity signals in a data storage module of the intelligent terminal 1, and sending the three-axis acceleration signals, the three-axis angular velocity.
Processing the three-axis acceleration, the three-axis angular velocity and the three-axis magnetic induction intensity of the intelligent terminal 1 by an analysis module in the intelligent terminal 1, and calculating the space attitude of the intelligent terminal 1, namely the included angles of the intelligent terminal 1 and the geodetic coordinate system in three directions and the motion state of the intelligent terminal 1; and judging whether the intelligent terminal 1 is in a working state or not according to the space posture of the intelligent terminal 1.
Analyzing triaxial acceleration signals acquired by a triaxial accelerometer in the intelligent terminal 1 by an analysis module in the intelligent terminal 1, extracting acceleration signal characteristics from the triaxial acceleration signals when judging that the triaxial acceleration signals are abnormal signals, and sending the acceleration signal characteristics to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the acceleration signal characteristics are sent to a data processing module of the data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
The acceleration signal characteristics include: the arrival time of the longitudinal acceleration signal, the signal within 3 seconds after the arrival of the longitudinal acceleration signal, the signal spectrogram within 3 seconds after the arrival of the longitudinal acceleration signal, the peak value of the longitudinal acceleration signal, the arrival time of the transverse acceleration signal, the signal within 3 seconds after the arrival of the transverse acceleration signal, the signal spectrogram within 3 seconds after the arrival of the transverse acceleration signal, the peak value of the transverse acceleration signal and the taucThe value is obtained. The longitudinal acceleration signal is a seismic P wave signal; the transverse acceleration signal is an earthquake S-wave signal. The above-mentioned taucThe value is calculated by equation (1).
Wherein,τo∈[2,4]s (seconds); u (t) is an acceleration signal that varies with time t;is the difference to u (t).
Acquiring the position information of the intelligent terminal 1 by using a positioning module in the intelligent terminal 1 and sending the position information to a data storage module of the intelligent terminal 1; the position information of the intelligent terminal 1 is sent to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the position information of the intelligent terminal 1 is sent to a data processing module of the data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
And fifthly, the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 carry out data communication.
And sixthly, the communication module of the intelligent terminal 1 is in data communication with the data transmission module of the data center.
And the analysis module of the intelligent terminal 1 processes the earthquake epicenter position, magnitude, intensity and time information of earthquake occurrence received from the data processing module of the data center or the analysis module of the intelligent terminal 2 to obtain the time of earthquake arrival at the local and the local intensity, and sends the earthquake epicenter position, magnitude, intensity, time information of earthquake occurrence, time of earthquake arrival at the local and the local intensity to the notification module and the data storage module. The analysis module of the intelligent terminal 1 obtains the onset time of the position of the intelligent terminal 1, namely the time of the earthquake reaching the local area, by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 1 and the earthquake S-wave signal propagation speed.
And allowing a notification module of the intelligent terminal 1 to display the early warning information to a user.
Ninthly, after the early warning information is to be displayed, the data storage module of the intelligent terminal 1 sends the stored triaxial acceleration signal, triaxial angular velocity signal, triaxial direction magnetic induction intensity signal and the position information of the intelligent terminal 1 to the data storage module of the data center through the communication module of the intelligent terminal 1 and the data transmission module of the data center.
The method for judging the acceleration signal as the abnormal signal comprises the following steps:
step 1: and calculating a transverse acceleration signal and a longitudinal acceleration signal of the three-axis acceleration signal in a ground coordinate system according to the space attitude and the three-axis acceleration signal of the intelligent terminal 1.
Step 2: if the oscillation starting time of the transverse acceleration signal is prior to the oscillation starting time of the longitudinal acceleration signal, the acceleration signal is considered to be a non-abnormal signal, and the judgment is finished; otherwise, the operation of step 3 is performed.
And step 3: if the difference in the amplitude of the lateral acceleration signal is not greater than a predetermined threshold value (by the sign σ)1To indicate that),judging that the acceleration signal is a non-abnormal signal, and finishing the judgment; otherwise, the operation of step 4 is performed.
And 4, step 4: if the difference in the amplitude of the longitudinal acceleration signal is not greater than a predetermined threshold value (by the sign σ)2To indicate that),judging that the acceleration signal is a non-abnormal signal, and finishing the judgment; otherwise, the operation of step 5 is performed.
And 5: if the triaxial acceleration signal has symmetry on the signal mean value, performing the operation of the step 6; otherwise, the triaxial acceleration signal is considered as a non-abnormal signal, and the judgment is finished.
Step 6: performing Fast Fourier Transform (FFT) on the triaxial acceleration signal to obtain an acceleration signal spectrogram, and if the main frequency of the signal is lower than 10Hz, determining that the triaxial acceleration signal is an abnormal signal; otherwise, the acceleration signal is considered as a non-abnormal signal.
The specific method for judging whether the intelligent terminal 1 is in the working state is as follows: if the amplitudes of the three-axis angular velocity signals of the intelligent terminal 1 are all smaller than a certain preset threshold (using the symbol sigma)3To indicate that),and the difference values of the magnetic induction intensity signal amplitudes of the intelligent terminal 1 in the three-axis direction are all smaller than a certain preset threshold value (using the symbol sigma)4Expressed) 0.1. ltoreq. sigma.4And (5) judging that the intelligent terminal 1 is in a working state if the number is less than or equal to 10.
The main functions of the intelligent terminal 2 are:
firstly, the position information of the intelligent terminal 2 is obtained through a positioning module of the intelligent terminal 2, and is sent to an analysis module of the intelligent terminal 1 through a communication module of the intelligent terminal 2 and a communication module of the intelligent terminal 1.
And the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1 carry out data communication.
And thirdly, the communication module of the intelligent terminal 2 is in data communication with the data transmission module of the data center.
And fourthly, the analysis module of the intelligent terminal 2 analyzes the three-axis acceleration signal characteristics of the intelligent terminal 1 transmitted by the communication module of the intelligent terminal 2 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and the characteristics are transmitted to the analysis module of the intelligent terminal 1 through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1.
And the analysis module of the intelligent terminal 2 processes the earthquake epicenter position, earthquake magnitude, earthquake intensity and earthquake occurrence time information received from the data processing module of the data center to obtain the local earthquake arrival time and the local intensity, and sends the earthquake epicenter position, earthquake magnitude, earthquake intensity, earthquake occurrence time information, the local earthquake arrival time and the local intensity to the notification module of the intelligent terminal 2. The analysis module of the intelligent terminal 2 obtains the onset time of the position of the intelligent terminal 2 by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 2 and the earthquake S-wave signal propagation speed.
And sixthly, displaying the early warning information to the user by a notification module of the intelligent terminal 2.
The main functions of the data center are:
data transmission modules of the data center are in data communication with a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2 respectively.
Processing the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 by a data processing module of the data center to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and respectively sending the earthquake epicenter position, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through a data transmission module, a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2.
And thirdly, a data storage module of the data center stores the received three-axis acceleration signal, the three-axis angular velocity signal, the three-axis magnetic induction intensity signal and the position information of the intelligent terminal 1, which are measured by the intelligent terminal 1, for later use.
And fourthly, dynamically selecting part of the intelligent terminals 1 from the intelligent terminals 1 by an analysis module of the data center according to the data processing sub-center establishing method, setting the intelligent terminals as intelligent terminals 2, wherein the intelligent terminals 2 are the data processing sub-center.
The concrete process of using the intelligent terminal earthquake early warning system to carry out earthquake early warning comprises the following steps:
step A: the intelligent terminal 1 sends the position information of the intelligent terminal 1 to a data processing module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
And B: the data center dynamically selects a part of intelligent terminals 1 from the intelligent terminals 1 according to a data processing sub-center establishing method, and sets the intelligent terminals 1 as intelligent terminals 2, wherein the intelligent terminals 2 are also called as data processing sub-centers.
And C: the three-axis accelerometer, the three-axis gyroscope and the magnetometer in the intelligent terminal 1 measure three-axis acceleration signals, three-axis angular velocity signals and three-axis magnetic induction intensity signals of the intelligent terminal 1 and send the signals to the analysis module of the intelligent terminal 1.
Step D: an analysis module in the intelligent terminal 1 processes the three-axis acceleration, the three-axis angular velocity and the magnetic induction intensity in the three-axis direction of the intelligent terminal 1, and calculates the spatial attitude of the intelligent terminal 1, namely the included angle of the intelligent terminal 1 to the three directions of a geodetic coordinate system; and judging whether the intelligent terminal is in a working state or not according to the space posture of the intelligent terminal 1. If the intelligent terminal 1 is in a working state, performing the operation of the step E; otherwise, return to step C.
Step E: an analysis module in the intelligent terminal 1 analyzes an acceleration signal acquired by a triaxial accelerometer in the intelligent terminal 1, and when the triaxial acceleration signal is an abnormal signal, the characteristics of the acceleration signal are sent to the analysis module of the intelligent terminal 2 and a data processing module of a data center through a communication module of the intelligent terminal 1, a communication module of the intelligent terminal 2 and a data transmission module of the data center; otherwise, return to step C.
Step F: the position information of the intelligent terminal 1 is obtained by utilizing a positioning module in the intelligent terminal 1, and is sent to an analysis module of the intelligent terminal 2 and a data processing module of a data center through a communication module of the intelligent terminal 1, a communication module of the intelligent terminal 2 and a data transmission module of the data center.
Step G: the analysis module of the intelligent terminal 2 processes the received acceleration signal characteristics of the intelligent terminal 1 to obtain the earthquake epicenter, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the characteristics to the analysis modules of all the intelligent terminals 1 in the sub-area through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1.
Step I: the data processing module of the data center processes the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through the data transmission module, the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 respectively.
Step J: the analysis module of the intelligent terminal 1 and the analysis module of the intelligent terminal 2 respectively process earthquake epicenter, magnitude, intensity of the epicenter and earthquake occurrence time information received from the data processing module of the data center to obtain the time when the earthquake reaches the local and the intensity of the local; and form early warning information and send to respective notice module. The early warning information includes: earthquake epicenter position, magnitude, intensity, time of earthquake occurrence, time of earthquake reaching the local and local intensity.
Step K: and the notification module of the intelligent terminal 1 and the notification module of the intelligent terminal 2 respectively display the early warning information to the user.
Step L: after the notification module is displayed, the intelligent terminal 1 sends the three-axis acceleration signal and the position information of the intelligent terminal to a data storage module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
Step M: and a data storage module of the data center stores the three-axis acceleration signals of the intelligent terminal 1 and the position information of the intelligent terminal 1 for later use.
Advantageous effects
Compared with the prior art, the intelligent terminal earthquake early warning system provided by the invention has the following advantages:
the portable multifunctional electric water heater has the advantages of small volume, light weight, portability and simple arrangement.
The existing smart phone can meet the functions required by the smart terminal, and can have the functions of the smart terminal in a mode of installing mobile phone app, so that the smart phone is simple in arrangement, low in arrangement cost, large in number of monitoring terminals and wide in distribution.
The intelligent terminal early warning earthquake system is low in overall arrangement cost, and the precision of the earthquake epicenter position estimation can be improved through the advantages of the number of stations.
And fourthly, the intelligent terminal earthquake early warning system adopts a sub-network mode, so that the response time is shortened, and the earthquake early warning efficiency is obviously improved.
The intelligent terminal comprises a notification module, and can warn a user in time when an earthquake occurs.
And sixthly, after the earthquake, the intelligent terminal early warning earthquake system collects the related signals to a data center to generate earthquake data accumulation for subsequent earthquake research.
Drawings
FIG. 1 is a block diagram of the architecture of an intelligent terminal early warning seismic system in a particular real-time mode of the invention;
FIG. 2 is a waveform of a three-axis acceleration signal measured by a three-axis accelerometer in a particular real-time manner of the present invention;
FIG. 3 is a waveform of three-axis angular velocity signals measured by a three-axis gyroscope in a particular real-time manner of the present invention;
FIG. 4 is a waveform of the magnetic induction signals measured by the magnetometer in three axes in a particular real-time manner of the present invention;
FIG. 5 is a waveform diagram of lateral acceleration signals (seismic S-waves) and longitudinal acceleration signals (seismic P-waves) of a three-axis acceleration signal in a ground coordinate system in a specific real-time mode of the present invention;
fig. 6 is a frequency spectrum diagram of an acceleration signal obtained by performing Fast Fourier Transform (FFT) on a triaxial acceleration signal in a specific real-time manner according to the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention is provided with reference to the drawings, and the embodiments and specific operations of the embodiments are provided on the premise of the technical solution of the present invention, but the scope of the present invention is not limited to the following embodiments.
The intelligent terminal early warning earthquake system in the embodiment comprises 1 data center and a plurality of intelligent terminals 1 in the early warning area range. In the early warning process, the data center dynamically selects part of the intelligent terminals 1 from the intelligent terminals 1 according to the data processing sub-center establishing method, and the intelligent terminals 1 are set as intelligent terminals 2, wherein the intelligent terminals 2 are also called as data processing sub-centers. The structural block diagram of the intelligent terminal early warning earthquake system is shown in fig. 1. The intelligent terminal 1 and the intelligent terminal 2 both adopt intelligent mobile phones.
The method for establishing the data processing sub-center specifically comprises the following steps:
step 1: the early warning area is divided into a plurality of sub-areas.
The method for dividing the early warning area into a plurality of sub-areas comprises the following steps: and taking the coverage area of the base station of each mobile network provider in the early warning area as a sub-area.
Step 2: calculating the weight of each intelligent terminal 1 in the subarea specifically as follows:
step 2.1: setting a distance threshold TH to be 50 km;
step 2.2: selecting an unprocessed other intelligent terminal 1 from the sub-area where the current intelligent terminal 1 is located, calculating the distance L 'between the other intelligent terminal 1 and the current intelligent terminal 1, and if the distance L' is lower than a threshold TH, adding 1 to the weight of the current intelligent terminal 1; then marking the other intelligent terminals 1 as processed; and repeating the steps until the distances between the current intelligent terminal 1 and all other intelligent terminals 1 in the sub-area are calculated, and obtaining the weight of the current intelligent terminal 1.
And (5) obtaining the weight of each intelligent terminal 1 in the sub-area through the operation of the step 2.
And 3, step 3: and selecting the intelligent terminal 1 with the maximum weight value in each sub-area as the intelligent terminal 2 of the sub-area.
The intelligent terminal 1 and the intelligent terminal 2 are identical in composition structure, but different in function.
Intelligent terminal 1 and intelligent terminal 2 all include: the device comprises a three-axis accelerometer, a three-axis gyroscope, a magnetometer, an analysis module, a positioning module, a communication module, a data storage module and a notification module. The positioning module is specifically a global navigation satellite system GNSS. The intelligent terminal 2 only uses the analysis module, the positioning module, the communication module and the notification module.
The data center comprises a data transmission module, a data processing module and a data storage module.
And the communication modules of the intelligent terminal 1 and the intelligent terminal 2 and the data transmission module of the data center are networked in a GSM and WCDMA communication mode.
The connection relationship is as follows:
bidirectional data transmission is carried out between the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between a communication module of the intelligent terminal 1 and a data transmission module of a data center; bidirectional data transmission is carried out between the communication module of the intelligent terminal 2 and the data transmission module of the data center;
the output ends of a three-axis accelerometer, a three-axis gyroscope and a magnetometer of the intelligent terminal 1 are respectively connected with the input ends of a data storage module and an analysis module of the intelligent terminal 1; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 1 and the communication module of the intelligent terminal 1; the output end of the positioning module of the intelligent terminal 1 is respectively connected with the data storage module of the intelligent terminal 1 and the input end of the communication module of the intelligent terminal 1; the output end of the analysis module of the intelligent terminal 1 is respectively connected with the input ends of the notification module and the data storage module of the intelligent terminal 1. The output end of the data storage module of the intelligent terminal 1 is connected with the input end of the communication module of the intelligent terminal 1.
The output end of the positioning module of the intelligent terminal 2 is connected with the input end of the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 2 and the communication module of the intelligent terminal 2; the output end of the analysis module of the intelligent terminal 2 is connected with the input end of the notification module of the intelligent terminal 2.
The data processing module of the data center and the data transmission module of the data center perform bidirectional data transmission; and the data transmission module of the data center and the data storage module of the data center perform bidirectional data transmission.
The main functions of the intelligent terminal 1 are:
the method comprises the steps of utilizing a built-in three-axis accelerometer, a three-axis gyroscope and a magnetometer to collect three-axis acceleration signals, three-axis angular velocity signals and three-axis magnetic induction intensity signals of the intelligent terminal 1 in real time, storing the three-axis acceleration signals, the three-axis angular velocity signals and the three-axis magnetic induction intensity signals in a data storage module of the intelligent terminal 1, and sending the three-axis acceleration signals, the three-axis angular velocity.
Processing the three-axis acceleration, the three-axis angular velocity and the three-axis magnetic induction intensity of the intelligent terminal 1 by an analysis module in the intelligent terminal 1, and calculating the space attitude of the intelligent terminal 1, namely the included angles of the intelligent terminal 1 and the geodetic coordinate system in three directions and the motion state of the intelligent terminal 1; and judging whether the intelligent terminal 1 is in a working state or not according to the space posture of the intelligent terminal 1.
Analyzing triaxial acceleration signals acquired by a triaxial accelerometer in the intelligent terminal 1 by an analysis module in the intelligent terminal 1, extracting acceleration signal characteristics from the triaxial acceleration signals when judging that the triaxial acceleration signals are abnormal signals, and sending the acceleration signal characteristics to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the acceleration signal characteristics are sent to a data processing module of the data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
The acceleration signal characteristics include: the arrival time of the longitudinal acceleration signal, the signal within 3 seconds after the arrival of the longitudinal acceleration signal, the signal spectrogram within 3 seconds after the arrival of the longitudinal acceleration signal, the peak value of the longitudinal acceleration signal, the arrival time of the transverse acceleration signal, the signal within 3 seconds after the arrival of the transverse acceleration signal, the signal spectrogram within 3 seconds after the arrival of the transverse acceleration signal, the peak value of the transverse acceleration signal and the taucThe value is obtained. The longitudinal acceleration signal is a seismic P wave signal; the transverse acceleration signal is an earthquake S-wave signal. The above-mentioned taucThe value is calculated by formula (1), whereino＝3s。
Acquiring the position information of the intelligent terminal 1 by using a positioning module in the intelligent terminal 1 and sending the position information to a data storage module of the intelligent terminal 1; the position information of the intelligent terminal 1 is sent to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the position information of the intelligent terminal 1 is sent to a data processing module of the data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
And fifthly, the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 carry out data communication.
And sixthly, the communication module of the intelligent terminal 1 is in data communication with the data transmission module of the data center.
The analysis module of the intelligent terminal 1 processes the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time information received from the data processing module of the data center or the analysis module of the intelligent terminal 2 to obtain the local earthquake arrival time and the local intensity, and sends the earthquake epicenter position, the earthquake magnitude, the earthquake intensity, the earthquake occurrence time information, the local earthquake arrival time and the local intensity to the notification module and the data storage module; the analysis module of the intelligent terminal 1 obtains the onset time of the position of the intelligent terminal 1 by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 1 and the earthquake S-wave signal propagation speed.
And allowing a notification module of the intelligent terminal 1 to display the early warning information to a user.
Ninthly, after the early warning information is to be displayed, the data storage module of the intelligent terminal 1 sends the stored triaxial acceleration signal, triaxial angular velocity signal, triaxial direction magnetic induction intensity signal and the position information of the intelligent terminal 1 to the data storage module of the data center through the communication module of the intelligent terminal 1 and the data transmission module of the data center.
The main functions of the intelligent terminal 2 are:
firstly, the position information of the intelligent terminal 2 is obtained through a positioning module of the intelligent terminal 2, and is sent to an analysis module of the intelligent terminal 1 through a communication module of the intelligent terminal 2 and a communication module of the intelligent terminal 1.
And the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1 carry out data communication.
And thirdly, the communication module of the intelligent terminal 2 is in data communication with the data transmission module of the data center.
And fourthly, the analysis module of the intelligent terminal 2 analyzes the three-axis acceleration signal characteristics of the intelligent terminal 1 transmitted by the communication module of the intelligent terminal 2 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and the characteristics are transmitted to the analysis module of the intelligent terminal 1 through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1.
And the analysis module of the intelligent terminal 2 processes the earthquake epicenter position, earthquake magnitude, earthquake intensity and earthquake occurrence time information received from the data processing module of the data center to obtain the local earthquake arrival time and the local intensity, and sends the earthquake epicenter position, earthquake magnitude, earthquake intensity, earthquake occurrence time information, the local earthquake arrival time and the local intensity to the notification module of the intelligent terminal 2. The analysis module of the intelligent terminal 2 obtains the onset time of the position of the intelligent terminal 2 by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 2 and the earthquake S-wave signal propagation speed.
And sixthly, displaying the early warning information to the user by a notification module of the intelligent terminal 2.
The main functions of the data center are:
data transmission modules of the data center are in data communication with a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2 respectively.
Processing the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 by a data processing module of the data center to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and respectively sending the earthquake epicenter position, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through a data transmission module, a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2.
And thirdly, a data storage module of the data center stores the received three-axis acceleration signal, the three-axis angular velocity signal, the three-axis magnetic induction intensity signal and the position information of the intelligent terminal 1, which are measured by the intelligent terminal 1, for later use.
And fourthly, dynamically selecting part of the intelligent terminals 1 from the intelligent terminals 1 by an analysis module of the data center according to the data processing sub-center establishing method, setting the intelligent terminals as intelligent terminals 2, wherein the intelligent terminals 2 are the data processing sub-center.
The concrete process of using the intelligent terminal earthquake early warning system to carry out earthquake early warning comprises the following steps:
step A: the intelligent terminal 1 sends the position information of the intelligent terminal 1 to a data processing module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
And B: the data center dynamically selects a part of intelligent terminals 1 from the intelligent terminals 1 according to a data processing sub-center establishing method, and sets the intelligent terminals 1 as intelligent terminals 2, wherein the intelligent terminals 2 are also called as data processing sub-centers. And if and only if the intelligent terminal 2 leaves the sub-area, the data center selects a new intelligent terminal 2 from the sub-area, and converts the original intelligent terminal 2 into the intelligent terminal 1.
And C: the three-axis (ax, ay, az) acceleration signals of the intelligent terminal 1 measured by the three-axis accelerometer in the intelligent terminal 1 are shown in fig. 2, wherein the abscissa represents time in minutes (min), and the ordinate represents acceleration in meters per second2(m/s2). The three-axis gyroscope measures three-axis (gx, gy, yz) angular velocity signals of the intelligent terminal 1 as shown in fig. 3, the abscissa of the three-axis gyroscope represents time in minutes (min), and the ordinate represents angular velocity in radians/seconds (rad/s); the signal of the magnetic induction in the three axes (x, y, z) measured by the magnetometer is shown in fig. 4, with the abscissa representing time in minutes (min) and the ordinate representing the magnetic induction in micro-Tesla (micro-Tesla). These signals are then sent to the analysis module of the intelligent terminal 1.
Step D: an analysis module of the intelligent terminal 1 processes the three-axis acceleration, the three-axis angular velocity and the magnetic induction intensity in the three-axis direction of the intelligent terminal 1, and the included angles of the intelligent terminal 1 in the three directions of the geodetic coordinate system are respectively 0 degree, 90 degrees and 90 degrees; and judging whether the intelligent terminal is in a working state or not according to the space posture of the intelligent terminal 1.
Since the maximum amplitudes of the three-axis angular velocity signals of the intelligent terminal 1 are respectively 0.01, 0.005 and 0.005, which are all smaller than the threshold value sigma3，σ30.3; the maximum amplitude values of the magnetic induction intensity signals of the intelligent terminal 1 in the three-axis direction after difference are respectively 1, 0.8 and 0.6, and are all smaller than the threshold value sigma4，σ45, so consider a smart terminal1 is in working condition.
And E, the intelligent terminal 1 is in a working state, and the operation of the step E is carried out.
Step E: the analysis module of intelligent terminal 1 analyzes the acceleration signal that the triaxial accelerometer in intelligent terminal 1 gathered, specifically does:
step 1: according to the spatial attitude and the three-axis acceleration signals of the intelligent terminal 1, the transverse acceleration signals (earthquake S waves) and the longitudinal acceleration signals (earthquake P waves) of the three-axis acceleration signals in the ground coordinate system are calculated through the STA/LTA algorithm, as shown in FIG. 5, the abscissa of the transverse acceleration signals represents time in minutes (min), and the ordinate of the longitudinal acceleration signals represents acceleration in meters per second2(m/s2)。
Step 2: since the oscillation start time (15 min 24 sec) of the lateral acceleration signal is later than the oscillation start time (9 min 25 sec) of the longitudinal acceleration signal, the operation of step 3 is performed.
And step 3: due to the maximum amplitude of the lateral acceleration signal (1.5 m/s)2) Greater than a threshold value sigma1And (5) performing the operation of the step 4 when the value is 0.6.
And 4, step 4: amplitude of longitudinal acceleration signal (0.6 m/s)2) Greater than a threshold value sigma2And (5) performing the operation of the step 5, wherein the operation is 0.5.
And 5: since the triaxial acceleration signal shown in fig. 2 has symmetry on the signal mean, the operation of step 6 is performed;
step 6: fast Fourier Transform (FFT) is performed on the triaxial acceleration signal to obtain an acceleration signal spectrogram, as shown in FIG. 6, the abscissa represents frequency in Hertz (hz), and the ordinate represents amplitude in meters per second2(m/s2). Since the frequency of the signal is lower than 10Hz, the triaxial acceleration signal is considered as an abnormal signal.
At the moment, the triaxial acceleration signal is an abnormal signal, and the acceleration signal characteristics are sent to the analysis module of the intelligent terminal 2 and the data processing module of the data center through the communication module of the intelligent terminal 1, the communication module of the intelligent terminal 2 and the data transmission module of the data center.
Step F: the position information of the intelligent terminal 1 is obtained by utilizing a positioning module in the intelligent terminal 1, and is sent to an analysis module of the intelligent terminal 2 and a data processing module of a data center through a communication module of the intelligent terminal 1, a communication module of the intelligent terminal 2 and a data transmission module of the data center.
Step G: the analysis module of the intelligent terminal 2 processes the received acceleration signal characteristics of the intelligent terminal 1 to obtain the earthquake epicenter, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the characteristics to the analysis modules of all the intelligent terminals 1 in the sub-area through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1.
Step I: the data processing module of the data center processes the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through the data transmission module, the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 respectively.
Step J: the analysis module of the intelligent terminal 1 and the analysis module of the intelligent terminal 2 respectively process earthquake epicenter, magnitude, intensity of the epicenter and earthquake occurrence time information received from the data processing module of the data center to obtain the time when the earthquake reaches the local and the intensity of the local; and form early warning information and send to respective notice module. The early warning information includes: earthquake epicenter position, magnitude, intensity, time of earthquake occurrence, time of earthquake reaching the local and local intensity.
Step K: and the notification module of the intelligent terminal 1 and the notification module of the intelligent terminal 2 respectively display the early warning information to the user.
Step L: after the notification module is displayed, the intelligent terminal 1 sends the three-axis acceleration signal and the position information of the intelligent terminal to a data storage module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center.
Step M: and a data storage module of the data center stores the three-axis acceleration signals of the intelligent terminal 1 and the position information of the intelligent terminal 1 for later use.

Claims (9)

1. The utility model provides an intelligent terminal early warning seismic system which characterized in that: in the early warning area range, the system comprises 1 data center and a plurality of intelligent terminals 1; in the early warning process, the data center dynamically selects part of intelligent terminals 1 from the intelligent terminals 1 according to a data processing sub-center establishing method, the intelligent terminals 1 are set as intelligent terminals 2, and the intelligent terminals 2 are also called as data processing sub-centers;
the method for establishing the data processing sub-center specifically comprises the following steps:
step 1: dividing the early warning area into a plurality of sub-areas;
step 2: calculating the weight of each intelligent terminal 1 in the subarea;
and 3, step 3: selecting an intelligent terminal 1 with the largest weight value in each subregion as an intelligent terminal 2 of the subregion;
the intelligent terminal 1 and the intelligent terminal 2 are consistent in composition structure but different in function;
intelligent terminal 1 and intelligent terminal 2 all include: the device comprises a three-axis accelerometer, a three-axis gyroscope, a magnetometer, an analysis module, a positioning module, a communication module, a data storage module and a notification module; the positioning module is a global navigation satellite system;
the intelligent terminal 2 only uses an analysis module, a positioning module, a communication module and a notification module;
the data center comprises a data transmission module, a data processing module and a data storage module;
the connection relationship is as follows:
bidirectional data transmission is carried out between the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between a communication module of the intelligent terminal 1 and a data transmission module of a data center; bidirectional data transmission is carried out between the communication module of the intelligent terminal 2 and the data transmission module of the data center;
the output ends of a three-axis accelerometer, a three-axis gyroscope and a magnetometer of the intelligent terminal 1 are respectively connected with the input ends of a data storage module and an analysis module of the intelligent terminal 1; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 1 and the communication module of the intelligent terminal 1; the output end of the positioning module of the intelligent terminal 1 is respectively connected with the data storage module of the intelligent terminal 1 and the input end of the communication module of the intelligent terminal 1; the output end of the analysis module of the intelligent terminal 1 is respectively connected with the input ends of the notification module and the data storage module of the intelligent terminal 1; the output end of the data storage module of the intelligent terminal 1 is connected with the input end of the communication module of the intelligent terminal 1;
the output end of the positioning module of the intelligent terminal 2 is connected with the input end of the communication module of the intelligent terminal 2; bidirectional data transmission is carried out between the analysis module of the intelligent terminal 2 and the communication module of the intelligent terminal 2; the output end of the analysis module of the intelligent terminal 2 is connected with the input end of the notification module of the intelligent terminal 2;
the data processing module of the data center and the data transmission module of the data center perform bidirectional data transmission; the data transmission module of the data center and the data storage module of the data center perform bidirectional data transmission;
the main functions of the intelligent terminal 1 are:
acquiring a triaxial acceleration signal, a triaxial angular velocity signal and a magnetic induction intensity signal in a triaxial direction of an intelligent terminal 1 in real time by utilizing a triaxial accelerometer, a triaxial gyroscope and a magnetometer which are arranged in the intelligent terminal 1, storing the triaxial acceleration signal, the triaxial angular velocity signal and the magnetic induction intensity signal in the triaxial direction in a data storage module of the intelligent terminal 1, and sending the triaxial acceleration signal, the triaxial angular velocity signal and the magnetic induction intensity signal to an analysis module of;
processing the three-axis acceleration, the three-axis angular velocity and the three-axis magnetic induction intensity of the intelligent terminal 1 by an analysis module in the intelligent terminal 1, and calculating the space attitude of the intelligent terminal 1, namely the included angles of the intelligent terminal 1 and the geodetic coordinate system in three directions and the motion state of the intelligent terminal 1; judging whether the intelligent terminal 1 is in a working state or not according to the space posture of the intelligent terminal 1;
analyzing triaxial acceleration signals acquired by a triaxial accelerometer in the intelligent terminal 1 by an analysis module in the intelligent terminal 1, extracting acceleration signal characteristics from the triaxial acceleration signals when judging that the triaxial acceleration signals are abnormal signals, and sending the acceleration signal characteristics to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the acceleration signal characteristics are sent to a data processing module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center;
acquiring the position information of the intelligent terminal 1 by using a positioning module in the intelligent terminal 1 and sending the position information to a data storage module of the intelligent terminal 1; the position information of the intelligent terminal 1 is sent to an analysis module of the intelligent mobile terminal 2 through a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2; meanwhile, the position information of the intelligent terminal 1 is sent to a data processing module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center;
the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 carry out data communication;
sixthly, the communication module of the intelligent terminal 1 is in data communication with the data transmission module of the data center;
the analysis module of the intelligent terminal 1 processes the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time information received from the data processing module of the data center or the analysis module of the intelligent terminal 2 to obtain the local earthquake arrival time and the local intensity, and sends the earthquake epicenter position, the earthquake magnitude, the earthquake intensity, the earthquake occurrence time information, the local earthquake arrival time and the local intensity to the notification module and the data storage module; the analysis module of the intelligent terminal 1 obtains the onset time of the position of the intelligent terminal 1, namely the time of the earthquake reaching the local area, by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 1 and the earthquake S-wave signal propagation speed;
allowing a notification module of the intelligent terminal 1 to display early warning information to a user;
ninthly, after the early warning information is displayed, the data storage module of the intelligent terminal 1 sends the stored three-axis acceleration signal, the three-axis angular velocity signal, the three-axis magnetic induction intensity signal and the position information of the intelligent terminal 1 to the data storage module of the data center through the communication module of the intelligent terminal 1 and the data transmission module of the data center;
the main functions of the intelligent terminal 2 are:
firstly, position information of the intelligent terminal 2 is obtained through a positioning module of the intelligent terminal 2, and the position information is sent to an analysis module of the intelligent terminal 1 through a communication module of the intelligent terminal 2 and a communication module of the intelligent terminal 1;
the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1 carry out data communication;
the communication module of the intelligent terminal 2 is in data communication with the data transmission module of the data center;
analyzing the triaxial acceleration signal characteristics of the intelligent terminal 1 transmitted by the communication module of the intelligent terminal 2 by the analysis module of the intelligent terminal 2 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and transmitting the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time to the analysis module of the intelligent terminal 1 through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1;
the analysis module of the intelligent terminal 2 processes the earthquake epicenter position, earthquake magnitude, earthquake intensity and earthquake occurrence time information received from the data processing module of the data center to obtain the local earthquake arrival time and the local intensity, and sends the earthquake epicenter position, earthquake magnitude, earthquake intensity, earthquake occurrence time information, local earthquake arrival time and local intensity to the notification module of the intelligent terminal 2; the analysis module of the intelligent terminal 2 obtains the onset time of the position of the intelligent terminal 2 by analyzing the earthquake occurrence time information, the earthquake epicenter position, the position of the intelligent terminal 2 and the earthquake S-wave signal propagation speed;
sixthly, the notification module of the intelligent terminal 2 displays the early warning information to the user;
the main functions of the data center are:
firstly, a data transmission module of a data center is in data communication with a communication module of an intelligent terminal 1 and a communication module of an intelligent terminal 2 respectively;
processing the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 by a data processing module of the data center to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and respectively sending the earthquake epicenter position, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through a data transmission module, a communication module of the intelligent terminal 1 and a communication module of the intelligent terminal 2;
a data storage module of the data center stores the received three-axis acceleration signal, the three-axis angular velocity signal, the three-axis magnetic induction intensity signal and the position information of the intelligent terminal 1, which are measured by the intelligent terminal 1, for later use;
and fourthly, dynamically selecting part of the intelligent terminals 1 from the intelligent terminals 1 by an analysis module of the data center according to the data processing sub-center establishing method, setting the intelligent terminals as intelligent terminals 2, wherein the intelligent terminals 2 are the data processing sub-center.
2. The intelligent terminal early warning earthquake system of claim 1, wherein: in step 1 of the method for establishing the data processing sub-center, the method for dividing the early warning area into a plurality of sub-areas comprises the following steps: and averagely dividing according to the longitude and latitude.
3. The intelligent terminal early warning earthquake system of claim 1, wherein: in step 1 of the method for establishing the data processing sub-center, the method for dividing the early warning area into a plurality of sub-areas may further be: and taking the coverage area of the base station of each mobile network provider in the early warning area as a sub-area.
4. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: in step 2 of the method for establishing the data processing sub-center, the method for calculating the weight of each intelligent terminal 1 in the sub-area comprises the following steps:
step 2.1: setting a distance threshold TH belonging to [5,300] km;
step 2.2: selecting an unprocessed other intelligent terminal 1 from the sub-area where the current intelligent terminal 1 is located, calculating the distance L 'between the other intelligent terminal 1 and the current intelligent terminal 1, and if the distance L' is lower than a threshold TH, adding 1 to the weight of the current intelligent terminal 1; then marking the other intelligent terminals 1 as processed; and repeating the steps until the distances between the current intelligent terminal 1 and all other intelligent terminals 1 in the sub-area are calculated, and obtaining the weight of the current intelligent terminal 1.
5. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: the method for calculating the weight of each intelligent terminal 1 in the sub-area in step 2 of the method for establishing the data processing sub-center may also be:
step 2. a: calculating the gravity center of a subregion where the intelligent terminal 1 is located at present;
step 2. b: calculating the distance from each intelligent terminal 1 to the gravity center in the sub-area, and calculating the weight of the current intelligent terminal 1 by using a formula (2);
w i = m a x ( L i ) - L i m a x ( L i ) - - - ( 2 )
wherein, wiRepresenting the weight of the ith intelligent terminal 1 of the sub-region; i is more than or equal to 1 and less than or equal to N; n is the number of the intelligent terminals 1 in the sub-area; l isiThe distance from the ith intelligent terminal of the subarea to the gravity center.
6. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: the acceleration signal characteristics include: the arrival time of the longitudinal acceleration signal, the signal within 3 seconds after the arrival of the longitudinal acceleration signal, the signal spectrogram within 3 seconds after the arrival of the longitudinal acceleration signal, the peak value of the longitudinal acceleration signal, the arrival time of the transverse acceleration signal, the signal within 3 seconds after the arrival of the transverse acceleration signal, the signal spectrogram within 3 seconds after the arrival of the transverse acceleration signal, the peak value of the transverse acceleration signal and the taucA value; the longitudinal acceleration signal is a seismic P wave signal; the transverse acceleration signal is an earthquake S-wave signal; the above-mentioned taucThe value is calculated by formula (1);
τ c = 2 π r - - - ( 1 )
wherein,τo∈[2,4]s; u (t) is an acceleration signal that varies with time t;is the difference to u (t).
7. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: the method for judging the acceleration signal as the abnormal signal comprises the following steps:
step 1: according to the space attitude and the three-axis acceleration signals of the intelligent terminal 1, calculating transverse acceleration signals and longitudinal acceleration signals of the three-axis acceleration signals in a ground coordinate system;
step 2: if the oscillation starting time of the transverse acceleration signal is prior to the oscillation starting time of the longitudinal acceleration signal, the acceleration signal is considered to be a non-abnormal signal, and the judgment is finished; otherwise, performing the operation of the step 3;
and step 3: if the difference value of the amplitude values of the transverse acceleration signals is not more than the preset threshold value sigma1，0.2m/s2＜σ1＜4m/s2If so, the acceleration signal is regarded as a non-abnormal signal, and the judgment is finished; otherwise, performing the operation of the step 4;
and 4, step 4: if the difference of the longitudinal acceleration signal amplitude is not larger than the preset threshold value sigma2，0.2m/s2＜σ2＜4m/s2If so, consider to addThe speed signal is a non-abnormal signal, and the judgment is finished; otherwise, performing the operation of the step 5;
and 5: if the triaxial acceleration signal has symmetry on the signal mean value, performing the operation of the step 6; otherwise, considering the triaxial acceleration signal as a non-abnormal signal, and finishing the judgment;
step 6: performing fast Fourier transform on the triaxial acceleration signal to obtain an acceleration signal spectrogram, and if the main frequency of the signal is lower than 10Hz, determining the triaxial acceleration signal as an abnormal signal; otherwise, the acceleration signal is considered as a non-abnormal signal.
8. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: the specific method for judging whether the intelligent terminal 1 is in the working state is as follows: if the amplitudes of the three-axis angular velocity signals of the intelligent terminal 1 are all smaller than a certain preset threshold value sigma3，0.01＜σ3< 1, and the difference values of the magnetic induction intensity signal amplitudes of the intelligent terminal 1 in the three-axis direction are all smaller than a certain preset threshold value sigma4，0.1≤σ4And (5) judging that the intelligent terminal 1 is in a working state if the number is less than or equal to 10.
9. An intelligent terminal pre-warning seismic system as claimed in any one of claims 1 to 3, wherein: the concrete process of using the intelligent terminal earthquake early warning system to carry out earthquake early warning comprises the following steps:
step A: the intelligent terminal 1 sends the position information of the intelligent terminal 1 to a data processing module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center;
and B: the data center dynamically selects a part of intelligent terminals 1 from the intelligent terminals 1 according to a data processing sub-center establishing method, and sets the intelligent terminals 1 as intelligent terminals 2, wherein the intelligent terminals 2 are also called data processing sub-centers;
and C: a triaxial accelerometer, a triaxial gyroscope and a magnetometer in the intelligent terminal 1 measure a triaxial acceleration signal, a triaxial angular velocity signal and a magnetic induction intensity signal in a triaxial direction of the intelligent terminal 1 and send the signals to an analysis module of the intelligent terminal 1;
step D: an analysis module in the intelligent terminal 1 processes the three-axis acceleration, the three-axis angular velocity and the magnetic induction intensity in the three-axis direction of the intelligent terminal 1, and calculates the spatial attitude of the intelligent terminal 1, namely the included angle of the intelligent terminal 1 to the three directions of a geodetic coordinate system; judging whether the intelligent terminal is in a working state or not according to the space posture of the intelligent terminal 1; if the intelligent terminal 1 is in a working state, performing the operation of the step E; otherwise, returning to the step C;
step E: an analysis module in the intelligent terminal 1 analyzes an acceleration signal acquired by a triaxial accelerometer in the intelligent terminal 1, and when the triaxial acceleration signal is an abnormal signal, the characteristics of the acceleration signal are sent to the analysis module of the intelligent terminal 2 and a data processing module of a data center through a communication module of the intelligent terminal 1, a communication module of the intelligent terminal 2 and a data transmission module of the data center; otherwise, returning to the step C;
step F: the method comprises the steps that the position information of the intelligent terminal 1 is obtained by a positioning module in the intelligent terminal 1 and is sent to an analysis module of the intelligent terminal 2 and a data processing module of a data center through a communication module of the intelligent terminal 1, a communication module of the intelligent terminal 2 and a data transmission module of the data center;
step G: the analysis module of the intelligent terminal 2 processes the received acceleration signal characteristics of the intelligent terminal 1 to obtain the earthquake epicenter, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the characteristics to the analysis modules of all the intelligent terminals 1 in the sub-area through the communication module of the intelligent terminal 2 and the communication module of the intelligent terminal 1;
step I: the data processing module of the data center processes the acceleration signal characteristics received from the intelligent terminal 1 and the position information of the intelligent terminal 1 to obtain the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time, and sends the earthquake epicenter position, the earthquake magnitude, the earthquake intensity and the earthquake occurrence time to the data processing module of the intelligent terminal 1 and the data processing module of the intelligent terminal 2 through the data transmission module, the communication module of the intelligent terminal 1 and the communication module of the intelligent terminal 2 respectively;
step J: the analysis module of the intelligent terminal 1 and the analysis module of the intelligent terminal 2 respectively process earthquake epicenter, magnitude, intensity of the epicenter and earthquake occurrence time information received from the data processing module of the data center to obtain the time when the earthquake reaches the local and the intensity of the local; forming early warning information and sending the early warning information to respective notification modules; the early warning information includes: earthquake epicenter position, earthquake magnitude, earthquake intensity, earthquake occurrence time, earthquake arrival time and earthquake intensity;
step K: the notification module of the intelligent terminal 1 and the notification module of the intelligent terminal 2 respectively show the early warning information to the user;
step L: after the notification module is displayed, the intelligent terminal 1 sends the three-axis acceleration signal and the position information of the intelligent terminal to a data storage module of a data center through a communication module of the intelligent terminal 1 and a data transmission module of the data center;
step M: and a data storage module of the data center stores the three-axis acceleration signals of the intelligent terminal 1 and the position information of the intelligent terminal 1 for later use.
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CN105160821A (en) * 2015-08-03 2015-12-16 福建星网锐捷通讯股份有限公司 Earthquake alarming method of building intercom system and building intercom system
CN106094014B (en) * 2016-08-26 2019-10-25 中国地震局地壳应力研究所 A kind of earthquake pre-warning based on asymmetric sensor and intensity rapid re port comprehensive land shake monitor
CN108037529B (en) * 2017-12-02 2019-10-11 桂林理工大学 A kind of seismic events method for quickly identifying based on initial vibration signal
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CN111405469B (en) * 2020-03-24 2021-06-01 辽宁大学 Mine earthquake monitoring system based on mobile phone mobile sensing network and crowd-sourcing positioning method
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Family Cites Families (7)

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