CN112946740A - Intelligent earthquake focus searching and positioning system - Google Patents
Intelligent earthquake focus searching and positioning system Download PDFInfo
- Publication number
- CN112946740A CN112946740A CN202110135753.3A CN202110135753A CN112946740A CN 112946740 A CN112946740 A CN 112946740A CN 202110135753 A CN202110135753 A CN 202110135753A CN 112946740 A CN112946740 A CN 112946740A
- Authority
- CN
- China
- Prior art keywords
- earthquake
- seismic
- marking
- acquiring
- building
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 230000035484 reaction time Effects 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 239000011435 rock Substances 0.000 claims description 31
- 238000006073 displacement reaction Methods 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 17
- 230000000630 rising effect Effects 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 7
- 102100036790 Tubulin beta-3 chain Human genes 0.000 claims description 3
- 102100036788 Tubulin beta-4A chain Human genes 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 5
- 239000000463 material Substances 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 238000011081 inoculation Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/307—Analysis for determining seismic attributes, e.g. amplitude, instantaneous phase or frequency, reflection strength or polarity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses an intelligent seismic source searching and positioning system, which relates to the technical field of seismic source searching and positioning and solves the technical problem that in the prior art, the azimuth of a seismic source cannot be calculated by calculating the time difference of seismic wave acquisition points, so that the accuracy of seismic source detection is reduced; acquiring the reaction time from the seismic waves generated by the earthquake to a seismic wave acquisition point, determining the position of the seismic source, and marking the position as the seismic source position; marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, and marking a corresponding intersection point with the deepest depth of the longitudinal wave as a seismic source position; by setting the seismic wave acquisition points, the time difference of the seismic wave acquisition points is calculated to calculate the azimuth of the seismic source, so that the accuracy of seismic source detection is improved, and the calculation error is reduced.
Description
Technical Field
The invention relates to the technical field of seismic source searching and positioning, in particular to an intelligent seismic source searching and positioning system.
Background
The seismic source depth is one of core problems in seismology research, and accurate determination of the seismic source depth has very important significance in aspects such as accurate evaluation of seismic disasters, determination of seismic causes and dynamic environments, judgment of aftershock development trends and dangerousness, nuclear explosion monitoring and the like, but seismic source depth positioning is always a difficult problem in the international seismology community. In addition, accurate depth positioning can also play an important role in earthquake early warning, seismic source process of determining a major earthquake, underground mineral resource exploration, shale gas exploitation and the like. Therefore, the method for accurately determining the seismic source depth has important application value in science and national economy. Earthquake prediction is to predict the time, place and intensity of future earthquake according to the knowledge of earthquake law. The basis for realizing earthquake prediction is to know the physical process of earthquake inoculation and the change of the physical property and the mechanical state of crust rock in the process, therefore, the earthquake prediction method has high reliability, the prediction is not accurate, unnecessary panic of residents can be caused, the social and economic losses are caused, and the reliable prediction is very difficult.
However, in the prior art, the azimuth of the seismic source cannot be calculated by setting seismic wave acquisition points and calculating the time difference of the seismic wave acquisition points, so that the accuracy of seismic source detection is reduced, and the calculation error is increased.
Disclosure of Invention
The invention aims to provide an intelligent earthquake focus searching and positioning system, which is characterized in that a focus searching and positioning unit is used for searching and positioning a focus in a seismic wave range to obtain the seismic wave range of an earthquake, the seismic wave range is marked as an earthquake area, and then any point in the earthquake area is selected as an origin to establish a rectangular coordinate system; acquiring reaction time from seismic waves generated by an earthquake to a seismic wave acquisition point, determining the position of a seismic source through numerical comparison of the reaction time, and marking the position as the position of the seismic source; then, acquiring the distance between any two seismic wave acquisition points, then acquiring the interval collection duration of the two seismic wave acquisition points, and performing division operation through a formula to acquire the velocity Vi of the seismic wave; marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of the corresponding ray is 1.1 times of the distance ZLi between the corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the directions of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the positions of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source; by setting the seismic wave acquisition points, the time difference of the seismic wave acquisition points is calculated to calculate the azimuth of the seismic source, so that the accuracy of seismic source detection is improved, and the calculation error is reduced.
The purpose of the invention can be realized by the following technical scheme:
an intelligent earthquake focus searching and positioning system comprises a cloud management platform, a registration unit, a database, a earthquake focus searching and positioning unit, a building detection unit, a grade judgment unit and an earthquake prediction unit;
the seismic source searching and positioning unit is used for searching and positioning a seismic source in a seismic wave range, and the specific searching and positioning process comprises the following steps:
step one, acquiring a seismic wave range of an earthquake, marking the seismic wave range as an earthquake area, and then selecting any point inside the earthquake area as a center to establish a rectangular coordinate system, wherein the arrow of the X axis of the rectangular coordinate system faces the true east direction of the earthquake area, and the arrow of the Y axis faces the true north direction of the earthquake area;
step two, setting a plurality of seismic wave acquisition points in an earthquake region, marking the seismic wave acquisition points as i, i as 1, 2, … …, n and n as positive integers, then acquiring the time when four seismic wave acquisition points at the edge of the region, namely the east, south, north and west, receive seismic waves, marking the time as edge time, simultaneously acquiring the time when four seismic wave acquisition points at the center of the region, namely the east, south, north and west, receive the seismic waves, marking the time as center time, then comparing the center time of the corresponding position with the edge time of the corresponding position, acquiring the reaction time from the seismic waves generated by the earthquake to the seismic wave acquisition points, determining the position of the earthquake source through the numerical comparison of the reaction time, and marking the position as the earthquake source;
thirdly, acquiring the distance between any two seismic wave acquisition points, marking the distance between any two seismic wave acquisition points as Ji, acquiring the time when the two seismic wave acquisition points receive the seismic waves, calculating the interval collection time length of the two seismic wave acquisition points through the time, and marking the interval collection time length as Ti; the distance Ji between any two seismic wave acquisition points and the interval collection duration Ti of the two seismic wave acquisition points are calculated by a formula
Carrying out division operation to obtain the velocity Vi of the seismic wave;
acquiring the time when each seismic wave acquisition point selected in the region receives the seismic wave, acquiring the time length of the seismic wave acquisition points receiving the seismic wave through the time when the seismic source is generated by the earthquake, marking the time length as SCi, and acquiring the distance ZLi between each seismic wave acquisition point and the seismic source through a formula ZLi (SCi multiplied by Vi);
and fifthly, marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of the corresponding ray is 1.1 times of the distance ZLi between the corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the azimuth of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the position of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source.
Further, the building detection unit is configured to analyze building information around the seismic source position, so as to select a suitable difficulty avoiding point in the buildings around the seismic source position, where the building information is a maximum longitudinal wave tensile stress bearing value and a maximum shear wave shear stress bearing value of the building, and the building is marked as o, o is 1, 2, … …, m, m is a positive integer, and a specific analysis and selection process is as follows:
step S1: acquiring a maximum longitudinal wave tensile stress bearing value of the building, and marking the maximum longitudinal wave tensile stress bearing value of the building as YLo;
step S2: acquiring a maximum shear stress bearing value of the building, and marking the maximum shear stress bearing value of the building as JQo;
step S3: acquiring the distance from a building to a seismic source position, and marking the distance from the building to the seismic source position as JLO;
step S4: by the formula
Obtaining selection coefficients Xo of the buildings, wherein a1, a2 and a3 are allThe proportional coefficient is a1 & gta 2 & gta 3 & gt0, beta is an error correction factor, and the value is 2.3654123;
step S5: comparing the selection coefficient Xo of the building with a selection coefficient threshold:
if the selection coefficient Xo of the building is larger than or equal to the selection coefficient threshold value, judging that the building is suitable for serving as a refuge point, generating a determination selection signal and sending the determination selection signal and the position of the refuge point to a wireless equipment terminal of a manager;
and if the selection coefficient Xo of the building is less than the selection coefficient threshold value, judging that the building is not suitable for serving as an escape point, generating an improper signal and sending the improper signal to a wireless equipment terminal of a manager.
Further, the grade determination unit is configured to analyze earthquake occurrence data to perform grade determination on the earthquake, where the earthquake occurrence data is a maximum earthquake surface wave earthquake motion displacement, a distance from the earthquake epicenter to the ground, and a corresponding period of the earthquake motion displacement, and the specific analysis and determination process is as follows:
step SS 1: acquiring the maximum earthquake surface wave earthquake motion displacement, and marking the maximum earthquake surface wave earthquake motion displacement as WY;
step SS 2: acquiring the distance from the earthquake epicenter to the ground, and marking the distance from the earthquake epicenter to the ground as JL;
step SS 3: acquiring a corresponding period of the earthquake motion displacement, and marking the corresponding period of the earthquake motion displacement as DT;
step SS 4: by the formula
Acquiring a seismic judgment coefficient PD, wherein b1, b2 and b3 are all proportional coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the seismic decision coefficient PD with K1 and K2, K1 and K2 are both seismic decision coefficient thresholds, and K1 > K2:
if the earthquake judgment coefficient PD is larger than or equal to K1, generating a first-level danger signal, marking the first-level danger signal as a first-level earthquake, and then sending the first-level danger signal and the first-level earthquake to a wireless equipment terminal of a manager;
if the earthquake judgment coefficient PD is less than K1 and K2, generating a secondary danger signal, marking the secondary danger signal as a secondary earthquake, and then sending the secondary danger signal and the secondary earthquake to a wireless equipment terminal of a manager;
and if the earthquake judgment coefficient PD is less than or equal to K2, generating a three-level danger signal, marking the three-level danger signal as a three-level earthquake, and then sending the three-level danger signal and the three-level earthquake to a wireless equipment terminal of a manager.
Furthermore, the earthquake prediction unit is used for analyzing environmental information so as to predict an earthquake, the environmental signal is tensile data, height data and temperature data, the tensile data is tensile bearing capacity of a rock layer in a gap of the earth surface plate, the height data is a height value of a ground water level inside the earth surface rock layer, the temperature data is a temperature rising speed inside the earth surface rock layer, and the specific analysis prediction process is as follows:
step L1: acquiring tensile bearing capacity of a rock layer in the gap of the earth surface plate, and marking the tensile bearing capacity of the rock layer in the gap of the earth surface plate as CSL;
step L2: acquiring the height value of the underground water level inside the surface rock layer, and marking the height value of the underground water level inside the surface rock layer as GDZ;
step L3: acquiring the temperature rising speed inside the earth surface rock layer, and marking the temperature rising speed inside the earth surface rock layer as SSV;
step L4: by the formula
Acquiring a seismic prediction coefficient YC, wherein c1, c2 and c3 are all proportional coefficients, and c1 is larger than c2 and c3 is larger than 0;
step L5: comparing the seismic prediction coefficient YC to a seismic prediction coefficient threshold:
if the earthquake prediction coefficient YC is larger than or equal to the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is high, generating a danger signal, sending the danger signal to a wireless equipment terminal of a manager, and evacuating residents at the geographical position where the danger signal is generated after the manager receives the danger signal;
and if the earthquake prediction coefficient YC is smaller than the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is low, generating a safety signal, and sending the safety signal to a wireless equipment terminal of a manager.
Further, the registration and login unit is used for a manager to submit manager information for registration through the wireless device terminal, and the manager information which is successfully registered is sent to the database for storage, wherein the manager information comprises the name, age, time of entry and frequency of the wireless device terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a seismic source searching and positioning unit is used for searching and positioning the seismic source in a seismic wave range to obtain the seismic wave range of the earthquake, the seismic wave range is marked as an earthquake area, and then any point in the earthquake area is selected as a center of origin to establish a rectangular coordinate system; acquiring reaction time from seismic waves generated by an earthquake to a seismic wave acquisition point, determining the position of a seismic source through numerical comparison of the reaction time, and marking the position as the position of the seismic source; then, acquiring the distance between any two seismic wave acquisition points, then acquiring the interval collection duration of the two seismic wave acquisition points, and performing division operation through a formula to acquire the velocity Vi of the seismic wave; marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of the corresponding ray is 1.1 times of the distance ZLi between the corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the directions of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the positions of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source; by setting the seismic wave acquisition points, the time difference of the seismic wave acquisition points is calculated to calculate the azimuth of the seismic source, so that the accuracy of seismic source detection is improved, and the calculation error is reduced;
2. in the invention, the earthquake prediction unit is used for analyzing environmental information so as to predict the earthquake, the tensile bearing capacity of a rock layer in a gap of a surface plate, the height value of underground water level inside the surface rock layer and the temperature rising speed inside the surface rock layer are obtained, the earthquake prediction coefficient YC is obtained through a formula, and the earthquake prediction coefficient YC is compared with an earthquake prediction coefficient threshold value: if the earthquake prediction coefficient YC is larger than or equal to the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is high, generating a danger signal, sending the danger signal to a wireless equipment terminal of a manager, and evacuating residents at the geographical position where the danger signal is generated after the manager receives the danger signal; if the earthquake prediction coefficient YC is smaller than the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is low, generating a safety signal, and sending the safety signal to a wireless equipment terminal of a manager; the earthquake occurrence is predicted, the damage of the earthquake to residents is reduced, the personal safety of the residents is improved, and unnecessary damage is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent seismic source searching and positioning system includes a cloud management platform, a registration unit, a database, a seismic source searching and positioning unit, a building detection unit, a grade determination unit, and a seismic prediction unit;
the registration login unit is used for the manager to submit the manager information for registration through the wireless equipment terminal, and sending the manager information which is successfully registered to the database for storage, wherein the manager information comprises the name, age, time of entry and frequency of the wireless equipment terminal;
the seismic source searching and positioning unit is used for searching and positioning a seismic source in a seismic wave range, and the specific searching and positioning process comprises the following steps:
step one, acquiring a seismic wave range of an earthquake, marking the seismic wave range as an earthquake area, and then selecting any point inside the earthquake area as a center to establish a rectangular coordinate system, wherein the arrow of the X axis of the rectangular coordinate system faces the true east direction of the earthquake area, and the arrow of the Y axis faces the true north direction of the earthquake area;
step two, setting a plurality of seismic wave acquisition points in an earthquake region, marking the seismic wave acquisition points as i, i as 1, 2, … …, n and n as positive integers, then acquiring the time when four seismic wave acquisition points at the edge of the region, namely the east, south, north and west, receive seismic waves, marking the time as edge time, simultaneously acquiring the time when four seismic wave acquisition points at the center of the region, namely the east, south, north and west, receive the seismic waves, marking the time as center time, then comparing the center time of the corresponding position with the edge time of the corresponding position, acquiring the reaction time from the seismic waves generated by the earthquake to the seismic wave acquisition points, determining the position of the earthquake source through the numerical comparison of the reaction time, and marking the position as the earthquake source;
thirdly, acquiring the distance between any two seismic wave acquisition points, marking the distance between any two seismic wave acquisition points as Ji, acquiring the time when the two seismic wave acquisition points receive the seismic waves, calculating the interval collection time length of the two seismic wave acquisition points through the time, and marking the interval collection time length as Ti; the distance Ji between any two seismic wave acquisition points and the interval collection duration Ti of the two seismic wave acquisition points are calculated by a formula
Carrying out division operation to obtain the velocity Vi of the seismic wave;
acquiring the time when each seismic wave acquisition point selected in the region receives the seismic wave, acquiring the time length of the seismic wave acquisition points receiving the seismic wave through the time when the seismic source is generated by the earthquake, marking the time length as SCi, and acquiring the distance ZLi between each seismic wave acquisition point and the seismic source through a formula ZLi (SCi multiplied by Vi);
marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of each corresponding ray is 1.1 times of the distance ZLi between each corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the azimuth of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the positions of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source;
the building detection unit is used for analyzing building information around the seismic source position so as to select a suitable difficulty avoiding point in the buildings around the seismic source position, the building information is a maximum longitudinal wave tensile stress bearing value and a maximum transverse wave shear stress bearing value of the building, the building is marked as o, o is 1, 2, … …, m and m are positive integers, and the specific analysis and selection process is as follows:
step S1: acquiring a maximum longitudinal wave tensile stress bearing value of the building, and marking the maximum longitudinal wave tensile stress bearing value of the building as YLo;
step S2: acquiring a maximum shear stress bearing value of the building, and marking the maximum shear stress bearing value of the building as JQo;
step S3: acquiring the distance from a building to a seismic source position, and marking the distance from the building to the seismic source position as JLO;
step S4: by the formula
Obtaining a selection coefficient Xo of a building, wherein a1, a2 and a3 are all proportional coefficients, a1 is larger than a2 and larger than a3 is larger than 0, and beta is an error correction factor and is 2.3654123;
step S5: comparing the selection coefficient Xo of the building with a selection coefficient threshold:
if the selection coefficient Xo of the building is larger than or equal to the selection coefficient threshold value, judging that the building is suitable for serving as a refuge point, generating a determination selection signal and sending the determination selection signal and the position of the refuge point to a wireless equipment terminal of a manager;
if the selection coefficient Xo of the building is smaller than the selection coefficient threshold value, judging that the building is not suitable for serving as a refuge point, generating an improper signal and sending the improper signal to a wireless equipment terminal of a manager;
the grade judgment unit is used for analyzing earthquake occurrence data so as to judge the grade of the earthquake, the earthquake occurrence data are the maximum earthquake surface wave earthquake motion displacement, the distance from the earthquake epicenter to the ground and the corresponding period of the earthquake motion displacement, and the specific analysis and judgment process comprises the following steps:
step SS 1: acquiring the maximum earthquake surface wave earthquake motion displacement, and marking the maximum earthquake surface wave earthquake motion displacement as WY;
step SS 2: acquiring the distance from the earthquake epicenter to the ground, and marking the distance from the earthquake epicenter to the ground as JL;
step SS 3: acquiring a corresponding period of the earthquake motion displacement, and marking the corresponding period of the earthquake motion displacement as DT;
step SS 4: by the formula
Acquiring a seismic judgment coefficient PD, wherein b1, b2 and b3 are all proportional coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the seismic decision coefficient PD with K1 and K2, K1 and K2 are both seismic decision coefficient thresholds, and K1 > K2:
if the earthquake judgment coefficient PD is larger than or equal to K1, generating a first-level danger signal, marking the first-level danger signal as a first-level earthquake, and then sending the first-level danger signal and the first-level earthquake to a wireless equipment terminal of a manager;
if the earthquake judgment coefficient PD is less than K1 and K2, generating a secondary danger signal, marking the secondary danger signal as a secondary earthquake, and then sending the secondary danger signal and the secondary earthquake to a wireless equipment terminal of a manager;
if the earthquake judgment coefficient PD is less than or equal to K2, generating a three-level danger signal, marking the three-level danger signal as a three-level earthquake, and then sending the three-level danger signal and the three-level earthquake to a wireless equipment terminal of a manager;
the earthquake prediction unit is used for analyzing environmental information so as to predict an earthquake, the environmental signal is tensile data, height data and temperature data, the tensile data is tensile bearing capacity of a rock layer in a gap of the earth surface plate, the height data is a height value of an underground water level inside the earth surface rock layer, the temperature data is temperature rising speed inside the earth surface rock layer, and the specific analysis prediction process is as follows:
step L1: acquiring tensile bearing capacity of a rock layer in the gap of the earth surface plate, and marking the tensile bearing capacity of the rock layer in the gap of the earth surface plate as CSL;
step L2: acquiring the height value of the underground water level inside the surface rock layer, and marking the height value of the underground water level inside the surface rock layer as GDZ;
step L3: acquiring the temperature rising speed inside the earth surface rock layer, and marking the temperature rising speed inside the earth surface rock layer as SSV;
step L4: by the formula
Acquiring a seismic prediction coefficient YC, wherein c1, c2 and c3 are all proportional coefficients, and c1 is larger than c2 and c3 is larger than 0;
step L5: comparing the seismic prediction coefficient YC to a seismic prediction coefficient threshold:
if the earthquake prediction coefficient YC is larger than or equal to the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is high, generating a danger signal, sending the danger signal to a wireless equipment terminal of a manager, and evacuating residents at the geographical position where the danger signal is generated after the manager receives the danger signal;
and if the earthquake prediction coefficient YC is smaller than the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is low, generating a safety signal, and sending the safety signal to a wireless equipment terminal of a manager.
The working principle of the invention is as follows:
an intelligent earthquake focus searching and positioning system is characterized in that when the system works, a focus searching and positioning unit is used for searching and positioning a focus in a seismic wave range to obtain the seismic wave range of an earthquake, the seismic wave range is marked as an earthquake area, and then any point in the earthquake area is selected as a origin to establish a rectangular coordinate system; setting a plurality of seismic wave acquisition points in an earthquake region, marking the seismic wave acquisition points as i, i as 1, 2, … …, n, n as a positive integer, then acquiring the time when four seismic wave acquisition points at the edge of the region, namely the east, south, north and west, receive seismic waves, marking the time as edge time, simultaneously acquiring the time when four seismic wave acquisition points at the center of the region, namely the east, south, north and west, receive the seismic waves, marking the time as center time, then comparing the center time of the corresponding position with the edge time of the corresponding position, acquiring the reaction time from the seismic waves generated by the earthquake to the seismic wave acquisition points, determining the position of the seismic source through the numerical comparison of the reaction time, and marking the position as the seismic source; then, acquiring the distance between any two seismic wave acquisition points, then acquiring the interval collection duration of the two seismic wave acquisition points, and performing division operation through a formula to acquire the velocity Vi of the seismic wave;
acquiring the time when each seismic wave acquisition point selected in the region receives the seismic wave, acquiring the time length of the seismic wave acquisition points receiving the seismic wave through the time when the seismic source is generated by the earthquake, marking the time length as SCi, and acquiring the distance ZLi between each seismic wave acquisition point and the seismic source through a formula ZLi (SCi multiplied by Vi); marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of the corresponding ray is 1.1 times of the distance ZLi between the corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the directions of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the positions of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source; by setting the seismic wave acquisition points, the time difference of the seismic wave acquisition points is calculated to calculate the azimuth of the seismic source, so that the accuracy of seismic source detection is improved, and the calculation error is reduced.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An intelligent earthquake focus searching and positioning system is characterized by comprising a cloud management platform, a registration unit, a database, an earthquake focus searching and positioning unit, a building detection unit, a grade judgment unit and an earthquake prediction unit;
the seismic source searching and positioning unit is used for searching and positioning a seismic source in a seismic wave range, and the specific searching and positioning process comprises the following steps:
step one, acquiring a seismic wave range of an earthquake, marking the seismic wave range as an earthquake area, and then selecting any point inside the earthquake area as a center to establish a rectangular coordinate system, wherein the arrow of the X axis of the rectangular coordinate system faces the true east direction of the earthquake area, and the arrow of the Y axis faces the true north direction of the earthquake area;
step two, setting a plurality of seismic wave acquisition points in an earthquake region, marking the seismic wave acquisition points as i, i as 1, 2, … …, n and n as positive integers, then acquiring the time when four seismic wave acquisition points at the edge of the region, namely the east, south, north and west, receive seismic waves, marking the time as edge time, simultaneously acquiring the time when four seismic wave acquisition points at the center of the region, namely the east, south, north and west, receive the seismic waves, marking the time as center time, then comparing the center time of the corresponding position with the edge time of the corresponding position, acquiring the reaction time from the seismic waves generated by the earthquake to the seismic wave acquisition points, determining the position of the earthquake source through the numerical comparison of the reaction time, and marking the position as the earthquake source;
thirdly, acquiring the distance between any two seismic wave acquisition points, marking the distance between any two seismic wave acquisition points as Ji, acquiring the time when the two seismic wave acquisition points receive the seismic waves, calculating the interval collection time length of the two seismic wave acquisition points through the time, and marking the interval collection time length as Ti; the distance Ji between any two seismic wave acquisition points and the interval collection duration Ti of the two seismic wave acquisition points are calculated by a formula
Carrying out division operation to obtain the velocity Vi of the seismic wave;
acquiring the time when each seismic wave acquisition point selected in the region receives the seismic wave, acquiring the time length of the seismic wave acquisition points receiving the seismic wave through the time when the seismic source is generated by the earthquake, marking the time length as SCi, and acquiring the distance ZLi between each seismic wave acquisition point and the seismic source through a formula ZLi (SCi multiplied by Vi);
and fifthly, marking each seismic wave acquisition point on a rectangular coordinate system, emitting rays by taking each seismic wave acquisition point as a starting point, wherein the length of the corresponding ray is 1.1 times of the distance ZLi between the corresponding seismic wave acquisition point and a seismic source, the directions of the rays are the azimuth of the seismic source, then acquiring the intersection points of all the rays, if the number of the intersection points is one, marking the intersection points as the position of the seismic source, if the number of the intersection points is more than 1, acquiring the depth of the longitudinal wave of all the intersection points, and marking the corresponding intersection point with the deepest depth of the longitudinal wave as the position of the seismic source.
2. The system of claim 1, wherein the building detection unit is configured to analyze building information around the seismic source location to select a suitable evasive point in the building around the seismic source location, the building information is a maximum compressional stress bearing value and a maximum shear stress bearing value of the building, the building is labeled as o, o is 1, 2, … …, and m, m is a positive integer, and the specific analysis and selection process is as follows:
step S1: acquiring a maximum longitudinal wave tensile stress bearing value of the building, and marking the maximum longitudinal wave tensile stress bearing value of the building as YLo;
step S2: acquiring a maximum shear stress bearing value of the building, and marking the maximum shear stress bearing value of the building as JQo;
step S3: acquiring the distance from a building to a seismic source position, and marking the distance from the building to the seismic source position as JLO;
step S4: by the formula
Obtaining a selection coefficient Xo of a building, wherein a1, a2 and a3 are all proportional coefficients, a1 is larger than a2 and larger than a3 is larger than 0, and beta is an error correction factor and is 2.3654123;
step S5: comparing the selection coefficient Xo of the building with a selection coefficient threshold:
if the selection coefficient Xo of the building is larger than or equal to the selection coefficient threshold value, judging that the building is suitable for serving as a refuge point, generating a determination selection signal and sending the determination selection signal and the position of the refuge point to a wireless equipment terminal of a manager;
and if the selection coefficient Xo of the building is less than the selection coefficient threshold value, judging that the building is not suitable for serving as an escape point, generating an improper signal and sending the improper signal to a wireless equipment terminal of a manager.
3. The system as claimed in claim 1, wherein the level determination unit is configured to analyze the earthquake occurrence data, so as to perform a level determination on the earthquake, and the earthquake occurrence data includes a maximum earthquake surface wave earthquake motion displacement, a distance from the earthquake epicenter to the ground, and a corresponding period of the earthquake motion displacement, and the specific analysis and determination process includes:
step SS 1: acquiring the maximum earthquake surface wave earthquake motion displacement, and marking the maximum earthquake surface wave earthquake motion displacement as WY;
step SS 2: acquiring the distance from the earthquake epicenter to the ground, and marking the distance from the earthquake epicenter to the ground as JL;
step SS 3: acquiring a corresponding period of the earthquake motion displacement, and marking the corresponding period of the earthquake motion displacement as DT;
step SS 4: by the formula
Acquiring a seismic judgment coefficient PD, wherein b1, b2 and b3 are all proportional coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the seismic decision coefficient PD with K1 and K2, K1 and K2 are both seismic decision coefficient thresholds, and K1 > K2:
if the earthquake judgment coefficient PD is larger than or equal to K1, generating a first-level danger signal, marking the first-level danger signal as a first-level earthquake, and then sending the first-level danger signal and the first-level earthquake to a wireless equipment terminal of a manager;
if the earthquake judgment coefficient PD is less than K1 and K2, generating a secondary danger signal, marking the secondary danger signal as a secondary earthquake, and then sending the secondary danger signal and the secondary earthquake to a wireless equipment terminal of a manager;
and if the earthquake judgment coefficient PD is less than or equal to K2, generating a three-level danger signal, marking the three-level danger signal as a three-level earthquake, and then sending the three-level danger signal and the three-level earthquake to a wireless equipment terminal of a manager.
4. The system of claim 1, wherein the seismic prediction unit is configured to analyze environmental information to predict the earthquake, the environmental signal is tensile data, height data and temperature data, the tensile data is tensile bearing capacity of a rock layer in a gap of the earth surface plate, the height data is height of a water level inside the rock layer, and the temperature data is temperature rise speed inside the rock layer, and the analysis and prediction processes are as follows:
step L1: acquiring tensile bearing capacity of a rock layer in the gap of the earth surface plate, and marking the tensile bearing capacity of the rock layer in the gap of the earth surface plate as CSL;
step L2: acquiring the height value of the underground water level inside the surface rock layer, and marking the height value of the underground water level inside the surface rock layer as GDZ;
step L3: acquiring the temperature rising speed inside the earth surface rock layer, and marking the temperature rising speed inside the earth surface rock layer as SSV;
step L4: by the formula
Acquiring a seismic prediction coefficient YC, wherein c1, c2 and c3 are all proportional coefficients, and c1 is larger than c2 and c3 is larger than 0;
step L5: comparing the seismic prediction coefficient YC to a seismic prediction coefficient threshold:
if the earthquake prediction coefficient YC is larger than or equal to the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is high, generating a danger signal, sending the danger signal to a wireless equipment terminal of a manager, and evacuating residents at the geographical position where the danger signal is generated after the manager receives the danger signal;
and if the earthquake prediction coefficient YC is smaller than the earthquake prediction coefficient threshold value, judging that the earthquake prediction coefficient is low, generating a safety signal, and sending the safety signal to a wireless equipment terminal of a manager.
5. The system of claim 1, wherein the registration unit is configured to submit information of the manager via the wireless device terminal for registration, and send the information of the manager with successful registration to the database for storage, wherein the information of the manager includes name, age, time of entry of the manager, and frequency of the wireless device terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110135753.3A CN112946740A (en) | 2021-02-01 | 2021-02-01 | Intelligent earthquake focus searching and positioning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110135753.3A CN112946740A (en) | 2021-02-01 | 2021-02-01 | Intelligent earthquake focus searching and positioning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112946740A true CN112946740A (en) | 2021-06-11 |
Family
ID=76240576
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110135753.3A Withdrawn CN112946740A (en) | 2021-02-01 | 2021-02-01 | Intelligent earthquake focus searching and positioning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112946740A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115148005A (en) * | 2022-05-24 | 2022-10-04 | 贝壳找房(北京)科技有限公司 | Central control panel for earthquake early warning and earthquake early warning method |
| KR20230063903A (en) * | 2021-10-29 | 2023-05-10 | 서울대학교산학협력단 | The Online Based System and the Method for Providing the Information of Velocity Structure |
-
2021
- 2021-02-01 CN CN202110135753.3A patent/CN112946740A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20230063903A (en) * | 2021-10-29 | 2023-05-10 | 서울대학교산학협력단 | The Online Based System and the Method for Providing the Information of Velocity Structure |
| KR102687763B1 (en) * | 2021-10-29 | 2024-07-24 | 서울대학교 산학협력단 | The Online Based System and the Method for Providing the Information of Velocity Structure |
| CN115148005A (en) * | 2022-05-24 | 2022-10-04 | 贝壳找房(北京)科技有限公司 | Central control panel for earthquake early warning and earthquake early warning method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2022242435A1 (en) | Rapid evaluation method of site seismic liquefaction disaster based on artificial intelligence | |
| KR101642951B1 (en) | GIS-based real time earthquake prediction method | |
| Toprak et al. | Liquefaction potential index: field assessment | |
| KR101927659B1 (en) | Method of determining representative site condition in buildings region | |
| Lam et al. | Minimum loading requirements for areas of low seismicity | |
| CN112946740A (en) | Intelligent earthquake focus searching and positioning system | |
| CN115273410A (en) | A sudden landslide monitoring and early warning system based on big data | |
| RU2467298C1 (en) | System of satellite monitoring of engineering facilities displacements using satellite navigation systems glonass/gps | |
| CN118569007B (en) | Earthquake resistance identification method based on seismic disaster risk refined evaluation | |
| Lee et al. | Uniform hazard spectra in western Balkan Peninsula | |
| Gu et al. | A record-based method for the generation of tridirectional uniform hazard-response spectra and ground motions using the Hilbert-Huang transform | |
| CN114200512A (en) | Earthquake intensity early warning method and system for key work point in railway construction period | |
| CN118393600A (en) | Method and system for estimating effective elastic thickness of rock ring | |
| Gokon et al. | Developing fragility functions for the areas affected by the 2009 Samoa earthquake and tsunami | |
| Muntafi et al. | Seismic properties and fractal dimension of subduction zone in Java and its vicinity using data from 1906 to 2020 | |
| CN116595489A (en) | Strong earthquake disaster area pre-judging method and system based on in-house and earthquake frequency analysis | |
| CN116630676A (en) | Large-scale-range field classification processing method and device and electronic equipment | |
| Kongar et al. | Evaluating desktop methods for assessing liquefaction-induced damage to infrastructure for the insurance sector | |
| Zhang et al. | A real‐time seismic damage prediction framework based on machine learning for earthquake early warning | |
| Murià-Vila et al. | Influence of soil structure interaction and subsoil consolidation in the seismic response of a building | |
| Moradi | Integration of Geographical Information System and Tsunami generation/propagation models in the Makran region (North of the Arabian Sea) | |
| Zuccarello et al. | Structural health monitoring and earthquake early warning: preliminary studies for application in eastern Sicily | |
| CN118861943B (en) | Survey and drawing execution supervision system based on geological survey engineering | |
| CN118780626B (en) | Intelligent monitoring and early warning method and system for urban geological security risk | |
| Suzuki et al. | Seismic risk analysis based on strain energy accumulation in focal region |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210611 |
|
| WW01 | Invention patent application withdrawn after publication |