CN111405482A - Method and system for determining close contact by recombining time information with L BS - Google Patents
Method and system for determining close contact by recombining time information with L BS Download PDFInfo
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- H—ELECTRICITY
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- H04W4/02—Services making use of location information
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- H—ELECTRICITY
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- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
Abstract
The invention discloses a method for determining a close contact person by recombining time information by L BS, which comprises the steps of establishing a target database, wherein the target database at least comprises historical L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of target objects at a plurality of moments in a specified time period, establishing a measured database, wherein the measured database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of mobile phone numbers of all domains except the mobile phone numbers of the target objects at a plurality of moments in the specified time period, determining the geographic position of a base station, comparing L BS data of each mobile phone number in the measured database at each time point with L BS data of each mobile phone number in the target database at a corresponding time point, and judging.
Description
Technical Field
The invention relates to the field of big data processing, in particular to a method and a system for determining an intimate contacter by recombining time information by utilizing L BS.
Background
When the transmission route of the infectious diseases in the society is air transmission, spray transmission, contact transmission and the like, the high-risk personnel with cross infection is usually found by inquiring the personnel who confirm the diagnosis of the patients and are in close contact with the patients recently so as to take corresponding intervention measures for the high-risk personnel. Although the above method can find high-risk people with cross infection to some extent, with the progress of the commercial society, people are more and more frequent nowadays, and many infectious diseases have longer incubation period, so that in many cases, the traditional epidemiological investigation method is inaccurate and less effective for the contact history of patients.
Therefore, it is difficult to find potential infected persons after certain patients are diagnosed, and the infected persons are likely to become new infection sources, so that the cross-infection rate is increased, even infection outbreaks are caused, and serious consequences are brought to the health of people.
Disclosure of Invention
Based on the above drawbacks, the present invention provides a method and system for determining an osculating agent by using L BS information to reconstruct time information, which can determine the osculating agent more quickly and accurately by using big data.
The invention provides a method for determining an intimate contact by recombining time information with L BS, which comprises the following steps:
establishing a target database, wherein the target database at least comprises historical L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of target objects at a plurality of moments in a specified time period;
establishing a tested database, wherein the tested database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of all intra-domain mobile phone numbers except the mobile phone number of the target object at a plurality of moments in the specified time period;
determining a geographical location of a base station; and
and (4) performing database collision operation, namely comparing L BS data of each mobile phone number in the tested database at each time point with L BS data of each mobile phone number in the target database at a corresponding time point, and judging.
Wherein the target objects are diagnosed epidemic patients and highly suspected populations; the collision library operation step comprises:
and comparing the geographical position of each mobile phone number in the tested database at each time point with the geographical position of each mobile phone number in the target database at the same time point, and respectively recording different scores according to the distance of the geographical positions.
Furthermore, each mobile phone number user in the target database correspondingly comprises an infectivity product coefficient, and the infectivity product coefficient is proposed by a treating physician of the corresponding mobile phone number user or designed by an epidemic specialist to be clinically corresponding to a unified infectivity product coefficient.
Further, if the infectivity product coefficient is larger than 1, the infectivity product coefficient is multiplied after the score is calculated in the step of collision storage, so as to obtain the final score.
If the same position information of the mobile phone number with the high score in the tested database and the mobile phone number in the target database is a three-dimensional building, the mobile phone number in the tested database is marked as a same-dimensional building attribute, wherein the high score is that the score is higher than a preset value.
If the scoring process of the mobile phone number with the high score in the tested database is obtained from data with larger variation in L BS, it is determined that the tested data with the high score and corresponding target data in the target database are taken by the same vehicle, and the mobile phone number in the tested database is marked as the attribute of the same vehicle, wherein the high score is higher than a preset value.
Further, the method for determining the close contact by recombining the time information with L BS further comprises:
establishing a target second-generation database: moving high-score data in a tested database obtained after operation according to a collision database into a second-generation target database, and deleting the moved data from an original tested database;
and performing the database collision operation again.
Further, the target object may also be a criminal suspect, a steadier object, or a terrorist suspect.
The invention also provides a system for determining the close contact person by recombining the time information by utilizing L BS, which comprises a target database, a measured database, a base station position determining unit and a calculating and judging unit;
the target database at least comprises history L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of target objects at a plurality of moments in a specified time period;
the measured database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of all intra-domain mobile phone numbers except the mobile phone number of the target object at a plurality of moments in the specified time period;
the base station position determining unit is used for determining the geographic position of the base station according to the map data in the domain and L AC or CID systematic base station information of the base station;
the calculating and judging unit is used for comparing L BS data of each mobile phone number in the tested database at each time point with L BS data of each mobile phone number in the target database at a corresponding time point and judging.
The target objects are diagnosed epidemic patients and highly suspected groups, each mobile phone number user in the target database correspondingly comprises a transmission infectious product coefficient, and the infectious product coefficient is proposed by a treating physician of the corresponding mobile phone number user or designed by an epidemic disease expert to be clinically corresponding to a unified infectious product coefficient.
The method and the system for determining the close contact person by recombining the time information by using L BS can quickly and accurately find out the high risk group and exclude safety personnel, and can directionally predict the explosion point in advance.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a flow chart of a first preferred embodiment of the method for determining an osculating member by recombining time information using L BS positioning.
Fig. 2 is a schematic diagram of the content of each piece of data in the target database.
Fig. 3 is a schematic diagram of the content of each piece of data in the database under test.
Fig. 4 is a schematic diagram of step S5 in fig. 1.
Fig. 5 is a block diagram of a first preferred embodiment of a system for reorganizing time information to determine an osculating party using L BS location in accordance with the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations or operations have not been shown or described in detail to avoid obscuring aspects of the invention.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
As shown in fig. 1, a first preferred embodiment of the method for determining an osculating person by recombining time information using L BS positioning according to the present invention comprises the following steps:
for the sake of clarity of the description of the principles of the present invention, the first preferred embodiment is described by way of example of determining the close contact of an epidemic.
At step S1, a target database is established, wherein the target database can be understood as "target object", the target database at least includes historical L BS data or base station data, operator information, mobile phone number user information of mobile phone numbers of a plurality of diagnosed and highly suspected groups at a plurality of moments within a certain time period (such as 14 days), and for the convenience of understanding, as shown in fig. 2, the content and format of each piece of data in the target database are exemplified and are not meant to limit the protection scope of the present invention to the format shown.
The mobile phone numbers of the confirmed and highly suspected groups in the target database are provided by authorities (such as health service committee and the like), the mobile phone numbers of the confirmed and highly suspected groups are distributed to corresponding operators, the operators extract historical L BS data or base station data of the mobile phones at a plurality of moments in a specified time period according to the received mobile phone numbers of the confirmed and highly suspected groups, and then the historical L BS data or the base station data are combined with the operator information, time and mobile phone number user information to form the target database, wherein the frequency of extracting the historical L BS data or the base station data of the mobile phones within the specified time period according to the received mobile phone numbers of the confirmed and highly suspected groups can be determined to be sampled once every 10 seconds (frequency reduction can be carried out if the computing capability is insufficient, frequency increase can be carried out if the computing capability is improved), and thus the historical L BS data or the base station data at a plurality of moments can be obtained.
In addition, the infectious product coefficient corresponding to the mobile phone number user needs to be marked when the target database is established. In this embodiment, the multiplication coefficients of all targets should be proposed by the attending physicians of the users corresponding to the mobile phone numbers, and if the multiplication coefficients cannot be proposed, the clinical corresponding unified coefficients should be designed by the epidemiologists.
To improve the operation efficiency, the present embodiment can convert L BS data or base station data in each target data into a unique number in a field.
And step S2, establishing a tested database, wherein the tested database can be understood as a tested object, and the tested database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of mobile phone numbers in all domains except the mobile phone numbers of the confirmed and highly suspected groups determined in the step S1 at a plurality of moments in a specified time period.
The frequency of extracting several historical L BS data or base station data of each mobile phone number in a specified time period (the specified time period is the same as the specified time period in step S1) by the operator for the mobile phone number of the tested object can also be determined as sampling once every 10 seconds (if the calculation capability is not enough, the frequency can be reduced, if the calculation capability is improved, the frequency can be increased), the sampling frequency should be consistent with the sampling frequency in step S1, meanwhile, for more comprehensively determining the close contact person, the tested database also includes historical L BS data or base station data of the mobile phone number of the overseas roaming, operator information, time, and mobile phone number user information.
In order to improve the operation efficiency, in the present embodiment, L BS data or base station data in each measured data may be converted into a unique number in the domain.
And step S3, importing longitude and latitude information, importing the longitude and latitude information based on the systematic base station information such as L AC, CID and the like of the base station, and if the antenna installation information of the base station is also provided, importing the longitude and latitude information together.
Step S4: the geographical location of the base station is determined. And importing map data in the domain, and determining the geographic position of each base station according to the map data in the domain and the imported longitude and latitude information. Meanwhile, the multi-layer three-dimensional building database information is provided by a data management mechanism (such as a planning office and the like).
In order to improve the calculation efficiency, in the present embodiment, the intra-domain map may be converted into a number in accordance with the number format in steps S1 and S2, and the resolution of the map may be measured according to the positioning accuracy of the carriers.
And step S5, performing L BS collision on the time information of the tested database and the time information of the target database, and performing corresponding calculation and judgment, namely comparing L BS data of each mobile phone number in the tested database at each time point with L BS data of each mobile phone number in the target database at the corresponding time point, and performing judgment.
The rule of the database collision will be described in detail below, please refer to fig. 4, which simply shows the rule of the database collision, if the L BS location of a certain mobile phone number in the database to be tested at a certain time point is the same as the L BS location of a certain mobile phone number in the database to be tested at the time point, 1 score is counted, if the difference between the L BS location of a certain mobile phone number in the database to be tested at a certain time point and the L BS location of a certain mobile phone number in the database to be tested at the time point is within a preset range, the L BS location difference between the two numbers is counted as 0.1-0.9 score (the case where the full score of 1 is used as an example, and the other case where the full score is used as an actual requirement), in this embodiment, since the operator samples the mobile phone numbers in the database to be tested and the database once every 10 seconds, when the mobile phone number in the database to be tested and the mobile phone number in the database to be tested are multiplied by the infectivity score of 1 minute, the mobile phone number in the database, the user can be judged as the case where the probability of the mobile phone number is greater than the probability of the mobile phone number corresponding to be determined to be the mobile phone number corresponding to be the mobile phone database to be the mobile phone number corresponding to be the same as the user, and the probability of the user is found to be the user, and the user is found to be found to.
If the same position information of a certain high-score mobile phone number in the tested database and the mobile phone number in the target database is a certain three-dimensional building, the mobile phone number in the tested database is marked as the attribute of the same three-dimensional building and is submitted to an epidemic disease expert to confirm whether further measures are needed or not together with the position information of the three-dimensional building. In actual operation, according to the precision of an operator, even a certain floor in a three-dimensional building can be precisely reached, and at the moment, the mobile phone number can be further marked. The specific operation mode is not limited, and the operation mode can be selectively used according to the position accuracy and the actual requirement provided by the operator.
If the scoring process of a certain high-scoring mobile phone number in the measured database is obtained from data with large variation in L BS (for example, L BS location of a certain mobile phone number in the measured database at a first time is the same as L0 BS location of a certain mobile phone number in the target database at the first time, the L1 BS location is denoted as a first L2 BS location, L3 BS location of the mobile phone number in the measured database at a second time is the same as L BS location of the mobile phone number in the target database at the second time, the L BS location is denoted as a second L BS location, and so on, L BS location of the mobile phone number in the measured database at a sixth time is the same as L BS location of the mobile phone number in the target database at the sixth time, the L BS location is denoted as a sixth L BS location, and the variable from the first to the sixth L BS location is large), it can be determined whether the same vehicle taking route data as the high-scoring of the vehicle and further checking the traffic route of the vehicle.
Step S6: and establishing a second-generation target database. And (4) transferring the high-score data in the tested database obtained according to the step (S5) into the target second-generation database, and deleting the moved data from the original tested database.
Step S7: and comparing and judging the collision between the data in the tested database and the data in the second generation target database according to the method of the step S5.
And the analogy is carried out in sequence, and a target third-generation database is established. And importing the high-score data in the measured database obtained according to the step S7 into a target third-generation database, and deleting the database-shifted data from the original measured database. The multiple data in the original tested database can be loaded into the target database of multiple generations respectively by repeating the steps. Assuming that 5 times of library collision is realized in the embodiment, a total of six target databases can be obtained and sequentially recorded as a target database, a second-generation target database, a third-generation target database, a fourth-generation target database, a fifth-generation target database and a sixth-generation target database. At this time, all data will be divided into 7 databases, namely 6 target databases and a measured database, wherein the personnel infection probability in the target database, the second-generation target database, the third-generation target database, the fourth-generation target database, the fifth-generation target database, the sixth-generation target database and the measured database decreases progressively.
With continued reference to FIG. 5, a schematic diagram of a first preferred embodiment of a system for reorganizing time information to determine an contactee using L BS positioning according to the present invention is illustrated, wherein a L BS positioning system for reorganizing time information to determine an contactee is used to determine an epidemic of an contactee.
The first preferred embodiment of the system for reorganizing time information to identify an intimate contact using L BS positioning includes a target database, a measured database, a base station location determination unit, a stereo building database, a calculation and determination unit, a target second generation database, and a move library unit.
The target database at least comprises history L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of diagnosed and highly suspected groups at a plurality of moments in a certain time period, wherein the mobile phone numbers of the diagnosed and highly suspected groups are provided by authorities (such as health service committee), and the operator extracts the history L BS data or base station data and mobile phone number user information of the mobile phone numbers at a plurality of moments in a specified time period according to the received mobile phone numbers of the diagnosed and highly suspected groups.
In addition, the infectious product coefficient corresponding to the mobile phone number user needs to be marked when the target database is established. In this embodiment, the multiplication coefficients of all targets should be proposed by the corresponding attending physicians, and if not, the epidemiologists should design their clinically corresponding uniform coefficients.
The measured database comprises the history L BS data or base station data, operator information and mobile phone number user information of all intra-domain mobile phone numbers at a plurality of moments in a specified time period except the mobile phone numbers of the confirmed and highly suspected groups, and meanwhile, in order to more comprehensively determine the close contact person, the measured database also comprises the history L BS data or base station data, operator information and mobile phone number user information of the overseas roaming mobile phone numbers.
The base station position determining unit is used for determining the geographic position of the base station according to the map data in the domain and the systematic base station information of L AC, ClD and the like of the base station.
The database of the three-dimensional buildings comprises the geographical position information of each three-dimensional building in the domain, and the information can be provided by relevant mechanisms such as a data management mechanism and the like.
The calculating and judging unit is used for performing L BS position collision on the time information of the tested database and the time information of the target database, and performing corresponding calculation and judgment, specifically, the calculating and judging unit is used for comparing the L BS position of each mobile phone number in the tested database at each time point with the L BS position of each mobile phone number in the target database at the corresponding time point, and judging whether the position difference between the two is within a preset range.
The library moving unit is used for moving the high-score data obtained by the calculating and judging unit to the second-generation target database and removing the high-score data from the tested database. The calculation and judgment unit is further configured to compare the remaining data in the measured database with the data in the second-generation target database again, and the calculation principle is the same as that when the data in the measured database is compared with the data in the target database, and is not described herein again.
The method and the system for determining the close contact person by recombining the time information by utilizing L BS positioning can quickly and accurately find out high risk groups and exclude safety personnel when determining the close contact person with epidemic diseases, and can directionally predict the explosion point in advance.
The second preferred embodiment of the method for determining the close contact person by recombining the time information by using L BS positioning according to the present invention can be applied to the determination of the close contact person of a criminal suspect, a steadier object, a terrorist suspect, etc. by a public security system.
In a second preferred embodiment, L BS data or base station data, operator information, and mobile phone number user information of the mobile phone number of the criminal suspect at a plurality of times within a certain time period are stored in the target database, wherein the mobile phone number of the criminal suspect can be provided by the police or a security department, L BS data or base station data, operator information, and mobile phone number user information of the mobile phone number of other people except the criminal suspect at a plurality of times within a specified time period are stored in the tested database.
Meanwhile, based on different application scenarios, the second preferred embodiment can omit database information of the three-dimensional building according to specific requirements.
Due to different application scenarios, in the second preferred embodiment, when the time information of the measured database and the time information of the target database are subjected to the library collision at the position of L BS, the infectivity product coefficient is deleted, and the rest of rules can be the same as those in the first preferred embodiment, and the second preferred embodiment does not need to set the second generation database of the target, and the like.
The method and the system for determining the close contact person by recombining the time information through L BS positioning are applied to a public security system to determine the close contact person of a criminal suspect, a steadier object, a terrorist suspect and the like, can quickly and accurately find out high-risk people and remove safety personnel, and can be directionally arranged and controlled in advance.
In particular, according to a preferred embodiment of the invention, the process described above with reference to fig. 1 may be implemented as a computer software program. For example, a third preferred embodiment of the present invention comprises a computer program product comprising a computer program carried on a computer readable medium, the computer program comprising program code for performing the method illustrated in fig. 1. In such a preferred embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the system of the present application.
In the flowchart shown in fig. 1 and the block diagram shown in fig. 5, each block in the flowchart or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures made by using the contents of the present specification and the drawings can be directly or indirectly applied to other related technical fields, and are within the scope of the present invention.
Claims (10)
1. A method for reorganizing time information to determine an intimate contacter using L BS, comprising:
establishing a target database, wherein the target database at least comprises historical L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of target objects at a plurality of moments in a specified time period;
establishing a tested database, wherein the tested database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of all intra-domain mobile phone numbers except the mobile phone number of the target object at a plurality of moments in the specified time period;
determining a geographical location of a base station; and
and (4) performing database collision operation, namely comparing L BS data of each mobile phone number in the tested database at each time point with L BS data of each mobile phone number in the target database at a corresponding time point, and judging.
2. The method for determining close contacts by utilizing L BS to recombine time information as claimed in claim 1, wherein the target objects are diagnosed epidemic patients and highly suspected groups, and the step of collision bank operation includes:
and comparing the geographical position of each mobile phone number in the tested database at each time point with the geographical position of each mobile phone number in the target database at the same time point, and respectively recording different scores according to the distance of the geographical positions.
3. The method of claim 2 wherein each cell phone number user in the target database further comprises an infectious product coefficient, wherein the infectious product coefficient is suggested by a treating physician of the corresponding cell phone number user or is designed by an epidemiologist to have a clinically corresponding uniform infectious product coefficient.
4. The method of claim 3, wherein if the infectivity product coefficient is greater than 1, the step of searching the database calculates the score and multiplies the infectivity product coefficient to obtain the final score.
5. The method of claim 2 wherein the mobile phone number in the target database is marked as an attribute of the same building if the mobile phone number with a high score in the target database is the same as the mobile phone number in the stereo building, wherein the high score is higher than a predetermined value.
6. The method of claim 2 wherein the high scoring mobile phone number in the target database is determined to be in the same vehicle as a corresponding target data in the target database if the scoring process of the high scoring mobile phone number is obtained at L BS variable data, wherein the mobile phone number in the target database is marked as a vehicle attribute, wherein the high scoring value is higher than a predetermined value.
7. The method of claim 2 for determining the close contact by recombining the time information with L BS, further comprising:
establishing a target second-generation database: moving high-score data in a tested database obtained after operation according to a collision database into a second-generation target database, and deleting the moved data from an original tested database;
and performing the database collision operation again.
8. The method for determining close contact using L BS of claim 1, wherein the target object is a criminal suspect, a metastable object or a terrorist suspect.
9. A system for determining a person in close contact by recombining time information by utilizing L BS comprises a target database, a measured database, a base station position determining unit and a calculating and judging unit;
the target database at least comprises history L BS data or base station data, operator information and mobile phone number user information of mobile phone numbers of a plurality of target objects at a plurality of moments in a specified time period;
the measured database comprises historical base station data or L BS data, operator information, time and mobile phone number user information of all intra-domain mobile phone numbers except the mobile phone number of the target object at a plurality of moments in the specified time period;
the base station position determining unit is used for determining the geographic position of the base station according to the map data in the domain and L AC or CID systematic base station information of the base station;
the calculating and judging unit is used for comparing L BS data of each mobile phone number in the tested database at each time point with L BS data of each mobile phone number in the target database at a corresponding time point and judging.
10. The system of claim 9 wherein said target subjects are diagnosed epidemics and highly suspected populations and each mobile phone number user in said target database further comprises an infectious product coefficient, said infectious product coefficient being suggested by the attending physician of the corresponding mobile phone number user or designed by an epidemiologist for its clinical correspondence to be a uniform infectious product coefficient.
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| CN112002431A (en) * | 2020-07-13 | 2020-11-27 | 上海知卓信息科技有限公司 | Method and system for discovering close contacts of specific user by utilizing electromagnetic signals |
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