CN114254167A - Seismic information screening method - Google Patents

Seismic information screening method Download PDF

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Publication number
CN114254167A
CN114254167A CN202111621767.2A CN202111621767A CN114254167A CN 114254167 A CN114254167 A CN 114254167A CN 202111621767 A CN202111621767 A CN 202111621767A CN 114254167 A CN114254167 A CN 114254167A
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Prior art keywords
information
probability
preference
clients
presentation
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CN202111621767.2A
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Chinese (zh)
Inventor
张翼
周妍
宴金旭
唐姝娅
周琪
陈维锋
许娟
赵雪慧
范开红
叶肇恒
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Sichuan Earthquake Emergency Service Center
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Sichuan Earthquake Emergency Service Center
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Priority to CN202111621767.2A priority Critical patent/CN114254167A/en
Publication of CN114254167A publication Critical patent/CN114254167A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/90335—Query processing
    • G06F16/90348—Query processing by searching ordered data, e.g. alpha-numerically ordered data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9038—Presentation of query results

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a method for screening seismic information, which comprises the following steps: obtaining an event list about seismic events in a preset geographic area; sending acquisition information to a client, wherein the acquisition information is used for instructing the client to input preference information about each piece of information and corresponding display type and presentation time period; obtaining preference information input by a client, and probability of each preference information, a presentation type and a presentation time period; obtaining a first correction probability of each piece of information according to each piece of preference information and the presentation type probability; obtaining a second correction probability of each piece of information according to the first probability and the probability of the presentation time period; and selecting the information with the second probability within the preset range as the target information. The invention can improve the accuracy of information acquisition.

Description

Seismic information screening method
Technical Field
The invention relates to the technical field of information screening, in particular to a seismic information screening method.
Background
After a certain event, such as an earthquake, occurs, information related to the event needs to be acquired in time so as to perform corresponding processing. The related information is generally acquired by a special information acquisition system and then directly sent to the information demand side. However, the currently transmitted information is generated according to historical experience, is lack of pertinence, and some information may not be needed by the information demand side, which may result in mismatch with the demand of the information demand side.
Disclosure of Invention
In order to solve at least one of the problems of the prior art, the technical scheme provided by the invention comprises the following steps:
the embodiment of the invention provides a seismic information screening method, which comprises the following steps:
s100, acquiring a corresponding information list (I) based on the earthquake event in the preset geographic area1，I2，…，In) (ii) a n is the number of messages, Ii＝(Ci，Fi，Ti) I takes a value from 1 to n; ciIs IiThe name of (a) is,
Figure BDA0003438287980000011
is IiJ presentation type of (1), m1 is IiIs given by a number of presentation types, j takes a value of 1 to m1,
Figure BDA0003438287980000012
is IiM2 is IiK is 1 to m 2;
s200, sending acquisition information to the client, wherein the acquisition information is used for instructing the client to input preference information about the information list, and the preference information comprises preference information which prefers the content of certain information, preference information which prefers certain information to be presented in a certain presentation type, and preference information which prefers certain information to be presented in a certain presentation type and presented in a certain time period;
s300, obtaining P (I) based on the received preference informationi)、
Figure BDA0003438287980000013
Figure BDA0003438287980000014
And
Figure BDA0003438287980000015
wherein, P (I)i) To prefer IiThe probability of content of (a);
Figure BDA0003438287980000016
to prefer IiAnd prefers to
Figure BDA0003438287980000021
The probability of the presentation is such that,
Figure BDA0003438287980000022
to prefer IiAnd prefers to
Figure BDA0003438287980000023
Is presented and is in
Figure BDA0003438287980000024
A probability of presentation;
Figure BDA0003438287980000025
to prefer IiThe probability of the content of (a) is,
Figure BDA0003438287980000026
to prefer IiBut prefers to
Figure BDA0003438287980000027
The probability of the presentation is such that,
Figure BDA0003438287980000028
to prefer IiContent and preferences of
Figure BDA0003438287980000029
Presented residual set preferences
Figure BDA00034382879800000210
A probability of presentation;
s400, based on P (I)i)、
Figure BDA00034382879800000211
To obtain IiFirst corrected probability of
Figure BDA00034382879800000212
S500, based on
Figure BDA00034382879800000213
And
Figure BDA00034382879800000214
to obtain IiSecond probability of correction of
Figure BDA00034382879800000215
S600, obtaining n second correction probabilities according to S500
Figure BDA00034382879800000216
S700, mixing
Figure BDA00034382879800000217
Sequencing in ascending order to obtain
Figure BDA00034382879800000218
Figure BDA00034382879800000219
S800, go through A, if
Figure BDA00034382879800000220
Then will be
Figure BDA00034382879800000221
The corresponding information is used as target information, and a is used for presetting a threshold value.
According to the seismic information screening method provided by the embodiment of the invention, the probability of the sent information is corrected based on the preference information of the client, and finally, the information meeting the set conditions is selected as the target information, so that the information sent to the client can meet the requirements of the client as much as possible.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
The seismic information screening method provided by the embodiment of the invention comprises the following steps:
s100, acquiring a corresponding information list (I) based on the earthquake event in the preset geographic area1，I2，…，In) (ii) a n is the number of messages, Ii＝(Ci，Fi，Ti) I takes a value from 1 to n; ciIs IiThe name of (a) is,
Figure BDA00034382879800000222
is IiJ presentation type of (1), m1 is IiIs given by a number of presentation types, j takes a value of 1 to m1,
Figure BDA0003438287980000031
is IiM2 is IiK is 1 to m 2.
In the embodiment of the invention, the information in the information list can be information related to emergency treatment of the earthquake event, and the content of all the information in the information list can be acquired through a corresponding information publishing platform and is embodied in the event list in a name form. Preferably, in the embodiment of the invention, the information is earthquake emergency information.
In the embodiment of the present invention, the presentation type is a form of specific content for presenting information, and may be determined based on the requirements of the client, and in one example, may include documents, pictures, tables, dynamic graphs, and the like. The presentation time period is a time period required to present information after the time of the earthquake event, and may be determined based on the requirement of the client, and in an exemplary embodiment, the presentation time period may include 0 to 2 hours, 2 to 4 hours, 4 to 8 hours, and 8 hours or more.
S200, sending acquisition information to the client, wherein the acquisition information is used for instructing the client to input preference information about the information list, and the preference information comprises preference information which prefers the content of certain information, preference information which prefers certain information to be presented in a certain presentation type, and preference information which prefers certain information to be presented in a certain presentation type and presented in a certain time period.
In an embodiment of the invention, the client is a demander of the information list of the seismic event. In specific implementation, the information list may be sent to each client through the information sending end. Each client can select the required information name, the corresponding presentation type and the presentation time period according to the own requirements, and returns the information list of the input preference information to the information sending end.
S300, obtaining P (I) based on the received preference informationi)、
Figure BDA0003438287980000032
Figure BDA0003438287980000033
And
Figure BDA0003438287980000034
wherein, PIiTo prefer IiThe probability of content of (a);
Figure BDA0003438287980000035
to prefer IiAnd prefers to
Figure BDA0003438287980000036
The probability of the presentation is such that,
Figure BDA0003438287980000037
to prefer IiAnd prefers to
Figure BDA0003438287980000038
Is presented and is in
Figure BDA0003438287980000039
A probability of presentation;
Figure BDA00034382879800000310
to prefer IiThe probability of the content of (a) is,
Figure BDA00034382879800000311
to prefer IiBut prefers to
Figure BDA00034382879800000312
The probability of the presentation is such that,
Figure BDA00034382879800000313
to prefer IiContent and preferences of
Figure BDA00034382879800000314
Presented residual set preferences
Figure BDA00034382879800000315
The probability of presentation.
In this step, the information sending end will obtain P (I) based on the preference information fed back by the clienti)、
Figure BDA0003438287980000041
And
Figure BDA0003438287980000042
in particular, the amount of the solvent to be used,
Figure BDA0003438287980000043
Figure BDA0003438287980000044
n is the number of clients, N1 is preference IiThe number of clients of the content of (1); n2 is not preference IiThe number of clients of the content.
Figure BDA0003438287980000045
K1 preference I of N1 clientsiTo be provided with
Figure BDA0003438287980000046
The number of clients presented;
Figure BDA0003438287980000047
k2 is a preference among N2 clients to
Figure BDA0003438287980000048
The number of clients presented.
Figure BDA0003438287980000049
L1 preference I among K1 clientsiIn that
Figure BDA00034382879800000410
The number of clients presented;
Figure BDA00034382879800000411
l2 is preferred among N-K1 clients
Figure BDA00034382879800000412
The number of clients presented.
S400, based on P (I)i)、
Figure BDA00034382879800000413
To obtain IiFirst corrected probability of
Figure BDA00034382879800000414
In this step, the process is carried out,
Figure BDA00034382879800000415
in this way, a first probability of correction for each piece of information is obtained.
S500, based on
Figure BDA00034382879800000416
And
Figure BDA00034382879800000417
to obtain IiSecond probability of correction of
Figure BDA00034382879800000418
In this step, the process is carried out,
Figure BDA00034382879800000419
in this way, a second probability of correction for each piece of information is obtained.
S600, obtaining n second correction probabilities according to S500
Figure BDA00034382879800000420
S700, mixing
Figure BDA00034382879800000421
Sequencing in ascending order to obtain
Figure BDA00034382879800000422
Figure BDA00034382879800000423
S800, go through A, if
Figure BDA00034382879800000424
Then will be
Figure BDA00034382879800000425
a preset threshold.
In this step, if
Figure BDA00034382879800000426
Then it is indicated at
Figure BDA00034382879800000427
Inflection point appears, client pair
Figure BDA0003438287980000051
The preference degree of the information is not large, and the information can not be sent to the client. The value of a can be an empirical value, which is used to ensure that the obtained target information can be matched with the requirements of the client as much as possible. In an exemplary embodiment, a can be 0 to 0.05, and preferably can be 0.05.
Further, in this step, the information amount may be plotted on the horizontal axis and the second modification probability may be plotted on the vertical axis to obtain a second modified probability curve based on a, and the inflection point of the curve may be obtained based on the plotted curve.
Further, in the embodiment of the present invention, the method may further include the following steps:
and S900, sending the target information to the client according to the set presentation type.
Because the presentation type of the information list sent to the client is preset, in order to improve the information sending efficiency and ensure the information uniformity, only the required information needs to be reserved and sent to the client according to the set presentation type after the target information is determined.
Further, in the embodiment of the present invention, the target information is stored in the database, so that the target information corresponding to each historical seismic event is stored in the database. When the same earthquake event occurs again in the preset geographic area, the earthquake information screening method is adopted to carry out secondary screening based on the last target information, so that the target information which is more matched with the requirements of the client is obtained.
[ examples ] A method for producing a compound
The seismic emergency information is taken as an example, and the seismic information screening method provided by the embodiment of the invention is introduced below.
In this embodiment, the list of seismic emergency information may be as shown in table 1 below:
table 1: earthquake emergency information list and corresponding preference information table
Figure BDA0003438287980000052
Figure BDA0003438287980000061
Figure BDA0003438287980000071
From the above steps S200 to S600, the probability of each piece of information in table 1 above is obtained as shown in table 2 below:
Figure BDA0003438287980000072
Figure BDA0003438287980000081
Figure BDA0003438287980000091
Figure BDA0003438287980000101
Figure BDA0003438287980000111
as can be seen from table 2 above, the second modified probabilities are arranged in descending order. Based on S700, it can be seen that51Then, the inflection point appears in the second correction probability, and therefore, the top 50 pieces of information can be sent to the client as target information.
According to the seismic information screening method provided by the embodiment of the invention, based on the preference of the client to certain information, the preference information of which the corresponding preference is presented in a certain presentation type and the preference information of which the preference is presented in a certain presentation time period, the initial probability of the information determined based on historical experience is corrected, so that the information required by the client can be met as much as possible, and the accuracy of the information can be improved.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the foregoing method.
Embodiments of the present invention further provide an electronic device, which includes a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer device, including a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the method as described above.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium that can be configured in a computer device to store at least one instruction or at least one program for implementing a method of the method embodiments, where the at least one instruction or the at least one program is loaded and executed by a processor to implement the method provided by the above embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A seismic information screening method, comprising:
s100, acquiring a corresponding information list (I) based on the earthquake event in the preset geographic area1，I2，…，In) (ii) a n is the number of messages, Ii＝(Ci，Fi，Ti) I takes a value from 1 to n; ciIs IiThe name of (a) is,
Figure FDA0003438287970000011
Figure FDA0003438287970000012
Figure FDA0003438287970000013
is IiJ presentation type of (1), m1 is IiIs given by a number of presentation types, j takes a value of 1 to m1,
Figure FDA0003438287970000014
Figure FDA0003438287970000015
is IiM2 is IiK is 1 to m 2;
s200, sending acquisition information to the client, wherein the acquisition information is used for instructing the client to input preference information about the information list, and the preference information comprises preference information which prefers the content of certain information, preference information which prefers certain information to be presented in a certain presentation type, and preference information which prefers certain information to be presented in a certain presentation type and presented in a certain time period;
s300, obtaining P (I) based on the received preference informationi)、
Figure FDA0003438287970000016
Figure FDA0003438287970000017
And
Figure FDA0003438287970000018
wherein, P (I)i) To prefer IiThe probability of content of (a);
Figure FDA0003438287970000019
to prefer IiAnd prefers to
Figure FDA00034382879700000110
The probability of the presentation is such that,
Figure FDA00034382879700000111
to prefer IiAnd prefers to
Figure FDA00034382879700000112
Is presented and is in
Figure FDA00034382879700000113
A probability of presentation;
Figure FDA00034382879700000114
to prefer IiThe probability of the content of (a) is,
Figure FDA00034382879700000115
to prefer IiContent but preference ofTo be provided with
Figure FDA00034382879700000116
The probability of the presentation is such that,
Figure FDA00034382879700000117
to prefer IiContent and preferences of
Figure FDA00034382879700000118
Presented residual set preferences
Figure FDA00034382879700000119
A probability of presentation;
s400, based on P (I)i)、
Figure FDA00034382879700000120
To obtain IiFirst corrected probability of
Figure FDA00034382879700000121
S500, based on
Figure FDA00034382879700000122
And
Figure FDA00034382879700000123
to obtain IiSecond probability of correction of
Figure FDA00034382879700000124
S600, obtaining n second correction probabilities according to S500
Figure FDA00034382879700000125
S700, mixing
Figure FDA00034382879700000126
Carry out ascending orderSequence to obtain
Figure FDA00034382879700000127
Figure FDA00034382879700000128
S800, go through A, if
Figure FDA00034382879700000129
Then will be
Figure FDA00034382879700000130
The corresponding information is used as target information, and a is used for presetting a threshold value.
2. The seismic information screening method of claim 1,
in the step S400, the first step is executed,
Figure FDA0003438287970000021
3. the seismic information screening method of claim 1, wherein in S500,
Figure FDA0003438287970000022
4. the seismic information screening method of claim 1,
Figure FDA0003438287970000023
Figure FDA0003438287970000024
n is the number of clients, N1 is preference IiThe number of clients of the content of (1); n2 is not preference IiThe number of clients of the content.
5. The seismic information screening method of claim 4,
Figure FDA0003438287970000025
k1 preference I of N1 clientsiTo be provided with
Figure FDA0003438287970000026
The number of clients presented;
Figure FDA0003438287970000027
k2 is a preference among N2 clients to
Figure FDA0003438287970000028
The number of clients presented.
6. The seismic information screening method of claim 1,
Figure FDA0003438287970000029
l1 preference I among K1 clientsiIn that
Figure FDA00034382879700000210
The number of clients presented;
Figure FDA00034382879700000211
l2 is preferred among N-K1 clients
Figure FDA00034382879700000212
The number of clients presented.
7. The seismic information screening method of claim 1, further comprising:
and S900, sending the target information to the client according to the set presentation type.
8. The method of claim 1, wherein the presentation types include documents, pictures, tables, and dynamic graphs.
9. A non-transitory computer readable storage medium having stored therein at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by a processor to implement the method of any one of claims 1 to 8.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
CN202111621767.2A 2021-12-28 2021-12-28 Seismic information screening method Pending CN114254167A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029576A (en) * 2022-05-07 2023-04-28 四川省地震应急服务中心 Decision utility evaluation method and system for earthquake emergency information

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029576A (en) * 2022-05-07 2023-04-28 四川省地震应急服务中心 Decision utility evaluation method and system for earthquake emergency information
CN116029576B (en) * 2022-05-07 2023-10-31 四川省地震应急服务中心 Decision utility evaluation method and system for earthquake emergency information

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