CN116390075B - Earthquake data information release system and storage medium - Google Patents
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Abstract
The invention discloses a seismic data information release system and a storage medium, and relates to the technical field of seismic data processing. According to the earthquake data information release system and the storage medium, users can be divided into multiple release object grades from near to far by taking a seismic source as a center, so that the earthquake release sequence can release notifications according to the release object grades, the user closest to the seismic source can acquire earthquake early warning notification information in the shortest time, important users who really need to withdraw from danger can be locked to a great extent through the earthquake release notification, meanwhile, the earthquake early warning notification can be carried out on users who have access to the earthquake range or live in the earthquake range and are registered as non-earthquake ranges, the pertinence of the earthquake release is stronger, and the earthquake release is more comprehensive.
Description
Technical Field
The invention relates to the technical field of seismic data processing, in particular to a seismic data information release system and a storage medium.
Background
The earthquake early warning mainly comprises the processes of acquisition of earthquake information, analysis of the earthquake information, calling of user information at the occurrence position of the earthquake, release of earthquake warning information and the like, so that before the release of the earthquake information, the earthquake information and the quick locking notification object which are two important elements of detailed earthquake position can be directionally released in a short time, the earthquake early warning information is generally obtained by predicting earthquake occurrence risks of all earthquake monitoring stations nationwide through a national earthquake prediction monitoring network system, and the earthquake network prediction system can determine that the earthquake is about to occur only 3-10 minutes before the earthquake occurs, so that the timeliness of the earthquake early warning information release is particularly important.
Referring to the earthquake quick report information release system with the Chinese patent publication number of CN114217345A, the problem that the content of the information released by the earthquake quick report work is simpler is solved, the brief report can be automatically generated, and the content comprises the conditions of villages and towns in a certain range in the earthquake and the distribution diagram in the earthquake. The method is simple to operate and short in time, the collapse initial report, the formal report and the technical report can be automatically generated by using the method, the content and the format meet the national regulation requirements, so that staff can rapidly submit information and timely provide first-hand precious information for post-earthquake emergency rescue work, and the earthquake information can be released in a short message and uploading FTP mode, so that the method is simple and rapid to operate.
Referring to a China patent publication No. CN217060807U, the raspberry group-based earthquake information publishing system is communicated with a cloud server through a raspberry group development board, so that earthquake related information on the cloud server can be obtained and displayed through display equipment, the earthquake information and related science popularization information can be timely displayed and updated, and the raspberry group development board can also send the position information collected by a GPS (Global positioning System) locator and the data collected by an MEMS (micro-electromechanical System) triaxial acceleration sensor to the cloud server for storage in real time, so that multiple data supports are provided for earthquake information analysis and excavation of the cloud server.
Comprehensive analysis of the above referenced patents can lead to the following drawbacks:
the existing earthquake release system has relatively poor instantaneity and pertinence, because users appointed in the earthquake focus range are not accurately locked, more time is spent for firstly releasing to users with relatively low danger degree, in order to provide the maximum escape time for the users in the earthquake focus range, therefore, the instantaneity of earthquake early warning notification before the occurrence of an earthquake is very important, for the earthquakes with smaller earthquake ranges, the number of servers and the requirement of processing data are less, the instantaneity is not obvious, for the earthquakes with wider range, the quantity of users is greatly increased, the quantity of servers and the data processing workload for processing and releasing the earthquake information in the earthquake with a large range are also greatly increased, at the moment, the instantaneity of the earthquake early warning notification is relatively more obvious, under the situation, it is difficult to ensure that users in the earthquake range receive earthquake early warning information in a short time to obtain more escape time, for example, referring to an earthquake quick report information release system of patent CN114217345A and an earthquake information release system based on raspberry group of CN217060807U, although earthquake shorthand can be quickly generated and sent to the users through short messages, notification is released for post-earthquake information, so that post-earthquake rescue is realized, the real-time performance is obviously insufficient when the post-earthquake information is utilized to pre-earthquake early warning with a larger earthquake range, the situation that the number of the servers and the large data processing workload described above cause that personnel in the earthquake range cannot be timely notified cannot be realized, the users can not be orderly released according to the release object grades by dividing the users into multiple grades (namely, dangerous grades) from near to far around the earthquake focus, therefore, the user nearest to the seismic source can acquire the earthquake early warning notification information in the shortest time, the purposes of enabling the earthquake release system to perform priority processing and release notification information according to the danger level can not be achieved rapidly and accurately, and longer earthquake danger avoiding time can not be obtained for the user.
The conventional earthquake release system cannot realize that users who access to the earthquake range or live in the earthquake range and register for the non-earthquake range can also perform earthquake early warning notification so as to ensure that the earthquake release is more targeted, ensure that the users are not influenced by the earthquake, and cannot achieve the aim of completing more accurate earthquake early warning release by taking all users related to the earthquake range into consideration, thereby leading to incomplete earthquake release.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a seismic data information release system and a storage medium, which solve the problems that the existing seismic release system is relatively poor in instantaneity and pertinence, and can not realize that users are divided into multiple release object grades (namely dangerous grades) from near to far by taking a seismic source as a center, so that the seismic release order can release notifications according to the release object grades in sequence, thereby enabling the user closest to the seismic source to obtain seismic early warning notification information in the shortest time, and not achieving the purposes of enabling the seismic release system to process and release notification information preferentially according to the dangerous grades quickly and accurately, and further not being capable of competing longer seismic risk avoiding time for the users; meanwhile, the conventional earthquake release system cannot realize that users who access to the earthquake range or live in the earthquake range and register in the non-earthquake range can also perform earthquake early warning notification, so that the earthquake release pertinence is stronger, the users are prevented from being influenced by the earthquake, and the problem that the purpose of more accurate earthquake early warning release is achieved by taking all users related to the earthquake range into consideration cannot be solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a seismic data information issuing system, includes high in the clouds data processing layer, user information storage unit, networking seismic database module and with high in the clouds data processing layer wireless communication's user terminal layer, high in the clouds data processing layer includes:
the total service module is used for controlling each execution module in the cloud data processing layer;
the server unit consists of n service modules, wherein the n service modules are respectively arranged in each region, and each service module is responsible for processing the user information registered in the region as the region;
the real-time seismic data pickup module is used for acquiring the latest seismic information from the networking seismic database module in real time and sending the latest seismic information acquired in real time to the seismic information analysis unit;
the earthquake information analysis unit is used for analyzing and processing the earthquake information of the earthquake source position O, the earthquake occurrence time T, the earthquake intensity level, the earthquake prediction distance value F taking the earthquake source position O as the center and the probability of occurrence of aftershock, which are acquired by the earthquake data real-time pickup module in real time;
the earthquake source server dividing module is used for dividing the earthquake information analyzed and processed by the earthquake information analyzing unit into a plurality of release levels by adopting an earthquake source server dividing algorithm;
the user information retrieving module is used for retrieving information of a required user from the user information storage unit so that the cloud data processing layer can conduct targeted earthquake information release notification;
and the regional user analysis unit is used for analyzing the region which is responsible for the registering place and is not a plurality of service modules after the distribution level is divided by the user analysis algorithm, and the user which appears in the region responsible for the service modules within X hours from the earthquake occurrence time T.
Preferably, the user information storage unit is composed of n storage modules, and each storage module stores user information which can be extracted by a corresponding service module, namely: a service module directly retrieves user information from a storage module corresponding to the service module through a user information retrieval module.
Preferably, the seismic information analysis unit is embedded with a data extraction analysis model, when an earthquake occurs, the model is used for carrying out data type classification marking processing on the picked seismic information of the position O of the earthquake source, the intensity level of the earthquake, the earthquake prediction distance value F and the probability of occurrence of the aftershock, the earthquake intensity analysis model is used for generating an earthquake intensity association release distance value Q according to the acquired intensity level of the earthquake, and the aftershock probability analysis model is used for generating an aftershock association release distance value Y according to the probability of occurrence of the acquired aftershock.
Preferably, the source server partitioning algorithm specifically includes the following steps:
s1, taking a seismic source position O marked by a seismic information analysis unit as a center, and carrying out regional distance value L of a first distribution level according to a seismic intensity associated distribution distance value Q, a seismic prediction distance value F taking the seismic source position O as the center and a residual earthquake associated distribution distance value Y 1 The calculation is carried out according to the following specific calculation formula:the method comprises the steps of carrying out a first treatment on the surface of the Wherein L is 1 Dividing regional distance values in a first distribution level with a focus position O as a center, wherein Q is an earthquake intensity associated distribution distance value, F is an earthquake prediction distance value, Y is a residual earthquake associated distribution distance value, a is an earthquake intensity associated percentage, b is an earthquake prediction range relation percentage, and 0 < a < b;
s2, dividing the regional distance value L by the first distribution level in the step S1 1 Respectively calculate the distance value L of the second distribution level dividing area 2 And a third distribution level division area distance value L 3 The specific calculation formula is as follows:；
wherein L is 1 Dividing zone distance values, L, in a first distribution level from source location O 2 Dividing the regional distance value L in a second distribution level centering on the position O of the seismic source 3 Dividing the regional distance value in a third release level which is centered on the focus position O, wherein alpha is the distance multiple of the regional distance value in the first release level, and beta is the distance multiple of the regional distance value in the second release level;
s3, taking the seismic source position O as a circle, and dividing the regional distance value L in the first distribution level 1 Forming a first distribution range for the radius, searching corresponding service modules in the first distribution range through the total service modules to form a first distribution service sequence；
S4, taking the seismic source position O as a circle, and dividing the regional distance value L in the second release level 2 Forming a second release range for the radius, searching corresponding service modules in the second release range through the total service modules to form a second release service sequence；
S5, the seismic source position O is circular, and the regional distance value L is divided in a third release level 3 Forming a third release range for the radius, searching corresponding service modules in the third release range through the total service modules to form a third release service sequence；
And S6, when the earthquake happens at the position of the earthquake source position O, firstly, the service module in the first distribution service sequence U is used for distributing and informing the user registered at the position under the service module at the first time, and secondly, the service module in the second distribution service sequence V and the third distribution service sequence W is used for distributing and informing the user registered at the position under the service module at the first time, so that the most dangerous user in the nearest range of the earthquake source O receives the earthquake warning information in the fastest time.
Preferably, the user analysis algorithm specifically includes the following steps:
e1, on the basis of dividing n service modules in a server unit into three release grades through a focus server dividing algorithm, marking the users registered in areas which are not responsible for jurisdictions of the service modules by the server modules in each release grade range, and recording a user sequenceSimultaneously recording a time sequence of first entering the jurisdiction of the service module；
E2, comparing the time of first entering the jurisdiction area of the service module recorded in the step E1 with the earthquake occurrence time, and recording:
judgingWhether or not it is less than X;
wherein:indicating that the ith characteristic value in the time series of the first entry into the service module jurisdiction is recorded,is the time of occurrence of the earthquake;
e3, ifIf not less than X, eliminating the characteristic value;
e4, ifX is less than or equal to the characteristic valueThe risk feature is marked, a service module to which the risk feature belongs and corresponding user information are tracked, and then the service module is combined with the user information to perform earthquake release notification on the user. Preferably, the cloud data processing layer further comprises a wireless communication module, and the cloud data processing layer can establish wireless data communication with the user terminal layer through the wireless communication module.
Preferably, the wireless communication module is any one of a 4G network, a 5G network or a GPRS network.
Preferably, the networking seismic database module is a national seismic bureau database, the national seismic bureau database contains seismic data information collected by all national seismic monitoring base stations, and the seismic data information is updated in real time, and the seismic data real-time pickup module can pick up the seismic information updated in real time in the national seismic bureau database in real time.
The invention also provides a computer readable storage medium storing computer executable instructions that, when invoked and executed by a processor, cause the processor to operate a method of operating the seismic data information distribution system.
(III) beneficial effects:
(1) According to the earthquake data information release system and the storage medium, users can be divided into multiple levels of release object levels (namely dangerous levels) from near to far by taking a earthquake focus as a center, so that the users closest to the earthquake focus can obtain earthquake early warning notification information in the shortest time, the purposes of enabling the earthquake release system to perform priority processing and release notification information according to the dangerous levels quickly and accurately are well achieved, longer earthquake risk avoidance time can be obtained for the users, timeliness and pertinence of the earthquake release system are greatly improved, the situation that users with lower relative dangerous degrees are spent due to the fact that users designated in the earthquake focus range are not accurately locked is avoided, maximum limit time is provided for the users with the closest range of the earthquake focus, and under the condition that the users with the larger user amount, a large number of important users without practical significance can be removed to a certain extent, so that important users needing urgent notification can be locked, and important users needing urgent risk avoidance can be ensured.
(2) The earthquake data information release system and the storage medium can realize that users who access to the earthquake range or live in the earthquake range and register in the non-earthquake range can also perform earthquake early warning notification, so that the pertinence of earthquake release is stronger, the users are prevented from being influenced by the earthquake, and the aim of completing more accurate earthquake early warning release by taking all users related to the earthquake range into consideration is well achieved, thereby enabling the earthquake release to be more comprehensive.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a logic diagram of a user analysis algorithm according to the present invention;
FIG. 3 is a schematic diagram of a source server partition according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1-3, two technical schemes are provided in the embodiment of the present invention: a system for publishing information of seismic data and a storage medium concretely comprise the following embodiments:
the utility model provides a seismic data information issuing system, includes high in the clouds data processing layer, user information storage unit, networking seismic database module and with high in the clouds data processing layer wireless communication's user terminal layer, high in the clouds data processing layer includes:
the total service module is used for controlling each execution module in the cloud data processing layer;
the server unit consists of n service modules, wherein the n service modules are respectively arranged in each region, and each service module is responsible for processing the user information registered in the region as the region;
the real-time seismic data pickup module is used for acquiring the latest seismic information from the networking seismic database module in real time and sending the latest seismic information acquired in real time to the seismic information analysis unit;
the earthquake information analysis unit is used for analyzing and processing the earthquake information of the earthquake source position O, the earthquake occurrence time T, the earthquake intensity level, the earthquake prediction distance value F taking the earthquake source position O as the center and the probability of occurrence of aftershock, which are acquired by the earthquake data real-time pickup module in real time;
the earthquake source server dividing module is used for dividing the earthquake information analyzed and processed by the earthquake information analyzing unit into a plurality of release levels by adopting an earthquake source server dividing algorithm;
the user information retrieving module is used for retrieving information of a required user from the user information storage unit so that the cloud data processing layer can conduct targeted earthquake information release notification;
the regional user analysis unit is used for analyzing the jurisdiction area which is not responsible for the plurality of service modules after the distribution level is divided by the user analysis algorithm, and analyzing the users which appear in the area which is responsible for the service modules within X hours from the earthquake occurrence time T.
In the embodiment of the invention, the user information storage unit is composed of n storage modules, and each storage module stores user information which can be extracted by the corresponding service module, namely: a service module directly retrieves user information from a storage module corresponding to the service module through a user information retrieval module.
In the embodiment of the invention, a data extraction analysis model is embedded in an earthquake information analysis unit, when an earthquake occurs, the picked earthquake source position O, the earthquake intensity level, the earthquake prediction distance value F and the earthquake information of the occurrence probability of the aftershock are subjected to data type classification marking processing through the model, the earthquake intensity correlation release distance value Q is generated according to the acquired earthquake intensity level through the earthquake intensity analysis model, and meanwhile, the aftershock correlation release distance value Y is generated according to the acquired probability of the aftershock occurrence through the aftershock occurrence probability analysis model.
In the embodiment of the invention, the earthquake intensity analysis model evaluates the earthquake intensity associated release distance value Q according to the earthquake grade, and is specifically shown in table 1.
TABLE 1 seismic intensity associated release distance value evaluation Table
In the embodiment of the invention, the aftershock occurrence probability analysis model evaluates the aftershock associated release distance value Y according to the occurrence probability of the aftershock, and is specifically shown in table 2.
TABLE 2 seismic intensity associated release distance value evaluation Table
In the embodiment of the invention, the seismic source server partitioning algorithm specifically comprises the following steps:
s1, taking a seismic source position O marked by a seismic information analysis unit as a center, and carrying out regional distance value L of a first distribution level according to a seismic intensity associated distribution distance value Q, a seismic prediction distance value F taking the seismic source position O as the center and a residual earthquake associated distribution distance value Y 1 The calculation is carried out according to the following specific calculation formula:the method comprises the steps of carrying out a first treatment on the surface of the Wherein L is 1 Dividing regional distance values in a first distribution level with a focus position O as a center, wherein Q is an earthquake intensity associated distribution distance value, F is an earthquake prediction distance value, Y is a residual earthquake associated distribution distance value, a is an earthquake intensity associated percentage, b is an earthquake prediction range relation percentage, and 0 < a < b;
s2, dividing the regional distance value L by the first distribution level in the step S1 1 Respectively calculate the distance value L of the second distribution level dividing area 2 And a third distribution level division area distance value L 3 The specific calculation formula is as follows:；
wherein L is 1 Dividing zone distance values, L, in a first distribution level from source location O 2 Dividing the regional distance value L in a second distribution level centering on the position O of the seismic source 3 Dividing the regional distance value in a third release level which is centered on the focus position O, wherein alpha is the distance multiple of the regional distance value in the first release level, and beta is the distance multiple of the regional distance value in the second release level;
s3, taking the seismic source position O as a circle, and dividing the regional distance value L in the first distribution level 1 Forming a first distribution range for the radius, searching corresponding service modules in the first distribution range through the total service modules to form a first distribution service sequence；
S4, taking the seismic source position O as a circle, and dividing the regional distance value L in the second release level 2 Forming a second release range for the radius, searching corresponding service modules in the second release range through the total service modules to form a second release service sequence；
S5, the seismic source position O is circular, and the regional distance value L is divided in a third release level 3 Forming a third release range for the radius, searching corresponding service modules in the third release range through the total service modules to form a third release service sequence；
And S6, when the earthquake happens at the position of the earthquake source O, firstly, the service module in the first distribution service sequence U distributes and informs the user registered at the position under the service module at the first time, and secondly, the service module in the second distribution service sequence V and the third distribution service sequence W distributes and informs the user registered at the position under the service module at the first time, so that the most dangerous user in the nearest range of the earthquake source O receives earthquake warning information in the fastest time, and the economic loss of personnel is reduced.
In the embodiment of the invention, the cloud data processing layer further comprises a wireless communication module, and the cloud data processing layer can establish wireless data communication with the user terminal layer through the wireless communication module.
In the embodiment of the invention, the wireless communication module is a 4G network.
In the embodiment of the invention, the networking earthquake database module is a national earthquake bureau database, the national earthquake bureau database contains earthquake data information collected by all national earthquake monitoring base stations, and the information is updated in real time, and the earthquake data updated in real time in the national earthquake bureau database can be picked up in real time through the earthquake data real-time pickup module.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and the computer executable instructions cause a processor to operate an operation method of the seismic data information release system when the computer executable instructions are called and operated by the processor.
Example 2: the technical scheme of this embodiment is different from embodiment 1:
in the embodiment of the invention, the user analysis algorithm specifically comprises the following steps:
e1, on the basis of dividing n service modules in a server unit into three release grades through a focus server dividing algorithm, marking the users registered in areas which are not responsible for jurisdictions of the service modules by the server modules in each release grade range, and recording a user sequenceSimultaneously recording a time sequence of first entering the jurisdiction of the service module；
E2, comparing the time of first entering the jurisdiction area of the service module recorded in the step E1 with the earthquake occurrence time, and recording:
judgingWhether or not it is less than X;
wherein:indicating that the ith characteristic value in the time series of the first entry into the service module jurisdiction is recorded,is the time of occurrence of the earthquake;
e3, ifIf not less than X, eliminating the characteristic value;
e4, ifX is less than or equal to the characteristic valueThe risk feature is marked, a service module to which the risk feature belongs and corresponding user information are tracked, and then the service module is combined with the user information to perform earthquake release notification on the user.
In the embodiment of the invention, the wireless communication module is a 5G network.
And all that is not described in detail in this specification is well known to those skilled in the art.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The utility model provides a seismic data information issuing system, includes high in the clouds data processing layer, user information storage unit, networking seismic database module and with high in the clouds data processing layer wireless communication's user terminal layer, its characterized in that: the cloud data processing layer comprises:
the total service module is used for controlling each execution module in the cloud data processing layer;
the server unit consists of n service modules, wherein the n service modules are respectively arranged in each region, and each service module is responsible for processing the user information registered in the region as the region;
the real-time seismic data pickup module is used for acquiring the latest seismic information from the networking seismic database module in real time and sending the latest seismic information acquired in real time to the seismic information analysis unit;
the earthquake information analysis unit is used for analyzing and processing the earthquake information of the earthquake source position O, the earthquake occurrence time T, the earthquake intensity level, the earthquake prediction distance value F taking the earthquake source position O as the center and the probability of occurrence of aftershock, which are acquired by the earthquake data real-time pickup module in real time;
the earthquake source server dividing module is used for dividing the earthquake information analyzed and processed by the earthquake information analyzing unit into a plurality of release levels by adopting an earthquake source server dividing algorithm;
the user information retrieving module is used for retrieving information of a required user from the user information storage unit so that the cloud data processing layer can conduct targeted earthquake information release notification;
the regional user analysis unit is used for analyzing the user which is registered in the region responsible for the service modules which are not classified by the distribution level and appears in the region responsible for the service modules within X hours from the earthquake occurrence time T through a user analysis algorithm;
the earthquake information analysis unit is embedded with a data extraction analysis model, when an earthquake happens, the picked earthquake source position O, the earthquake intensity level, the earthquake prediction distance value F and the earthquake information of the occurrence probability of the aftershock are subjected to data type classification marking processing through the model, the earthquake intensity correlation release distance value Q is generated according to the acquired earthquake intensity level through the earthquake intensity analysis model, and meanwhile the aftershock correlation release distance value Y is generated according to the acquired probability of the aftershock through the aftershock probability analysis model;
the seismic source server partitioning algorithm specifically comprises the following steps:
s1, taking a seismic source position O marked by a seismic information analysis unit as a center, and carrying out regional distance value L of a first distribution level according to a seismic intensity associated distribution distance value Q, a seismic prediction distance value F taking the seismic source position O as the center and a residual earthquake associated distribution distance value Y 1 The calculation is carried out according to the following specific calculation formula:
L 1 =aQ+bF+（1-a-b）Y；
wherein L is 1 Dividing regional distance values in a first distribution level with a focus position O as a center, wherein Q is an earthquake intensity associated distribution distance value, F is an earthquake prediction distance value, Y is a residual earthquake associated distribution distance value, a is an earthquake intensity associated percentage, b is an earthquake prediction range relation percentage, and 0 < a < b;
s2, dividing the regional distance value L by the first distribution level in the step S1 1 Respectively calculate the distance value L of the second distribution level dividing area 2 And a third distribution level division area distance value L 3 The specific calculation formula is as follows:wherein L is 1 Dividing zone distance values, L, in a first distribution level from source location O 2 Dividing the regional distance value L in a second distribution level centering on the position O of the seismic source 3 Zonal distance values in a third distribution level centered on source location OAlpha is the distance multiple of the distance value of the divided area in the first release level, and beta is the distance multiple of the distance value of the divided area in the second release level;
s3, taking the seismic source position O as a circle, and dividing the regional distance value L in the first distribution level 1 Forming a first distribution range for the radius, searching corresponding service modules in the first distribution range through the total service modules to form a first distribution service sequence；
S4, taking the seismic source position O as a circle, and dividing the regional distance value L in the second release level 2 Forming a second release range for the radius, searching corresponding service modules in the second release range through the total service modules to form a second release service sequence；
S5, the seismic source position O is circular, and the regional distance value L is divided in a third release level 3 Forming a third release range for the radius, searching corresponding service modules in the third release range through the total service modules to form a third release service sequence；
S6, when an earthquake happens at the position of the earthquake focus position O, firstly, issuing a notification to the user registered at the position under the service module through the service module in the first issuing service sequence U at the first time, secondly, sequentially, issuing a notification to the user registered at the position under the service module through the service module in the second issuing service sequence V and the third issuing service sequence W at the first time, so that the most dangerous user in the nearest range of the earthquake focus O receives earthquake warning information in the fastest time;
the user analysis algorithm specifically comprises the following steps:
e1, dividing n service modules in a server unit into three publications and the like through a seismic source server dividing algorithmOn a level basis, the server module in each release level range marks the users registered in the jurisdiction area not responsible for the service module and records the user sequenceSimultaneously recording a time sequence of first entering the jurisdiction of the service module；
E2, comparing the time of first entering the jurisdiction area of the service module recorded in the step E1 with the earthquake occurrence time, and recording:
judgingWhether or not it is less than X;
wherein:indicating that the ith characteristic value in the time series of the first entry into the service module jurisdiction is recorded,is the time of occurrence of the earthquake;
e3, ifIf not less than X, eliminating the characteristic value;
e4, ifX is less than or equal to the characteristic valueThe risk feature is marked, a service module to which the risk feature belongs and corresponding user information are tracked, and then the service module is combined with the user information to perform earthquake release notification on the user.
2. A seismic data information distribution system according to claim 1, wherein: the user information storage unit is composed of n storage modules, and each storage module stores user information which can be extracted by the corresponding service module, namely: a service module directly retrieves user information from a storage module corresponding to the service module through a user information retrieval module.
3. A seismic data information distribution system according to claim 1, wherein: the cloud data processing layer further comprises a wireless communication module, and the cloud data processing layer can establish wireless data communication with the user terminal layer through the wireless communication module.
4. A seismic data information distribution system according to claim 3, wherein: the wireless communication module is any one of a 4G network, a 5G network or a GPRS network.
5. A seismic data information distribution system according to claim 1, wherein: the networking earthquake database module is a national earthquake bureau database, the national earthquake bureau database contains earthquake data information collected by all national earthquake monitoring base stations, and is updated in real time, and the earthquake data real-time pickup module can pick up the earthquake information updated in real time in the national earthquake bureau database in real time.
6. A computer readable storage medium storing computer executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of operation of the seismic data information distribution system of any of claims 1-5.
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