CN110781336B - Method and system for fusing portrait data and mobile phone feature data based on global filing - Google Patents
Method and system for fusing portrait data and mobile phone feature data based on global filing Download PDFInfo
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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Abstract
The invention discloses a method for fusing portrait data and mobile phone characteristic data based on global filing, which comprises the following steps: step S1, performing correlation processing on the read mobile phone characteristic data and portrait data of the specified time window to generate a correlation data table; step S2, traversing the data in the association data table, and counting the association information of the portrait data and the mobile phone feature data; and step S3, calculating the association degree of the portrait data and the mobile phone feature data according to the association information. The invention is matched with a face recognition technology, associates the portrait and IMSI data acquired at the same time in the same place through data analysis, and simultaneously separates the portrait filing and data fusion process by using a method of globally establishing a portrait archive, and performs fusion processing on the data, thereby greatly improving the utilization value of the data.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a system for fusing portrait data and mobile phone feature data based on global filing.
Background
International Mobile Subscriber Identity (IMSI), is an Identity that does not repeat in all cellular networks, used to distinguish between different subscribers in a cellular network. The mobile phone characteristic data is mobile phone IMSI data acquired in a certain mode, and the data comprises track information such as acquisition time, acquisition location and the like.
However, according to the prior art, only the mobile phone information at a specific time and place can be obtained by using the collected IMSI information, and the corresponding person-related information cannot be obtained, so that the data utilization value is limited.
Disclosure of Invention
The invention aims to provide a portrait data and mobile phone feature data fusion method and system based on global filing, which are used for separating the portrait filing and data fusion process by using a method for globally establishing a portrait archive, and performing fusion processing on data, so that the utilization value of the data is greatly improved.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method for fusing portrait data and mobile phone feature data based on global filing is constructed, and comprises the following steps:
step S1, performing correlation processing on the read mobile phone characteristic data and portrait data of the specified time window to generate a correlation data table;
step S2, traversing the data in the association data table, and counting the association information of the portrait data and the mobile phone feature data;
and step S3, calculating the association degree of the portrait data and the mobile phone feature data according to the association information.
The fusion method of the portrait data and the mobile phone characteristic data based on the global filing further comprises the following steps:
and step S0, establishing a portrait global file for the portrait data collected by the front-end collecting equipment according to the portrait characteristic value and the image quality index.
In the method for fusing the portrait data and the mobile phone feature data based on the global filing, step S0 includes:
step S01, comparing the portrait characteristic values of the collected portrait data with the portrait characteristic values of all the portrait global files in the file library respectively to obtain a plurality of comparison scores;
step S02, judging whether the maximum value in the comparison values exceeds a first threshold value, if so, associating the acquired portrait data with the file ID of the portrait global file corresponding to the maximum value, if not, judging whether the image quality index of the acquired portrait data exceeds a second threshold value, if so, establishing a portrait global file for the acquired portrait data, and associating the corresponding file ID with the portrait data;
and step S03, storing the portrait data associated with the file ID into a portrait data table in a file library, wherein the portrait data table comprises the file ID, a portrait data address code, a portrait data acquisition time field and a portrait data storage path.
In the method for fusing portrait data and mobile phone feature data based on global filing provided by the present invention, between the step S0 and the step S1, the method further includes:
and establishing a mobile phone characteristic data table for the mobile phone characteristic data acquired by the front-end acquisition equipment, wherein the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field.
In the method for fusing portrait data and mobile phone feature data based on global filing provided by the invention, in step S2, the statistical associated information includes the number of times RT that both the portrait and the IMSI appear fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i ；。
In the method for fusing the portrait data and the mobile phone feature data based on the global filing, in step S3, the association degree between the portrait data and the mobile phone feature data is calculated according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association of the portrait f with the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 As constant coefficients, CS and KT represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, respectively.
According to another aspect of the present invention, there is also provided a system for fusing portrait data and mobile phone feature data based on global filing, including:
the correlation module is used for performing correlation processing on the read mobile phone characteristic data and the read portrait data of the specified time window to generate a correlation data table;
the statistical module is used for traversing the data in the associated data table and counting the associated information of the portrait data and the mobile phone characteristic data;
and the calculation module is used for calculating the association degree of the portrait data and the mobile phone characteristic data according to the association information.
In the system for fusing portrait data and mobile phone feature data based on global filing provided by the invention, the system further comprises:
the file establishing module is used for establishing a portrait global file for the portrait data acquired by the front-end acquisition equipment according to the portrait characteristic value and the image quality index;
the mobile phone characteristic data table establishing module is used for establishing a mobile phone characteristic data table for the mobile phone characteristic data acquired by the front-end acquisition equipment, and the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field.
In the system for fusing the portrait data and the mobile phone characteristic data based on the global filing, the statistical associated information comprises the times RT of the appearance of both the portrait and the IMSI fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i ；。
In the system for fusing the portrait data and the mobile phone feature data based on the global filing, which is provided by the invention, a calculation module calculates the association degree of the portrait data and the mobile phone feature data according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association of the portrait f with the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 As constant coefficients, CS and KT represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, respectively.
The method and the system for fusing the portrait data and the mobile phone characteristic data based on the global filing have the following beneficial effects that: the invention provides a portrait data and mobile phone feature data fusion method based on global filing, which is matched with a face recognition technology, associates the portrait and IMSI data acquired at the same time in the same place through data analysis, and simultaneously separates the portrait filing and the data fusion process by using a method of globally establishing a portrait archive, so as to perform fusion processing on the data, thereby greatly improving the utilization value of the data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts:
fig. 1 is a flowchart of a method for fusing portrait data and mobile phone feature data based on global profiling according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a system for fusing portrait data and mobile phone feature data based on global profiling according to an embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
In order to better understand the technical solutions, the technical solutions will be described in detail below with reference to the drawings and the specific embodiments of the specification, and it should be understood that the embodiments and specific features of the embodiments of the present invention are detailed descriptions of the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features of the embodiments and examples of the present invention may be combined with each other without conflict.
Example one
Fig. 1 is a flowchart of a method for fusing portrait data and mobile phone feature data based on global filing according to an embodiment of the present invention, and as shown in fig. 1, the method for fusing portrait data and mobile phone feature data based on global filing according to the present invention includes the following steps:
step S1, performing correlation processing on the read mobile phone characteristic data and portrait data of the specified time window to generate a correlation data table;
specifically, in step S1, according to the designated start time S, two types of data with a time window W are read (if the data in the window range is not loaded, the data is waited for until the data loading is completed), the two types of data are associated, queried and sorted according to the same address code and the time difference smaller than the designated threshold W, and the queried data are loaded into the memory.
Specifically, in an embodiment of the present invention, a portrait data table and a mobile phone feature data table are stored in the database. The portrait data table comprises a file ID, a portrait data address code, a portrait data acquisition time field and a portrait data storage path; the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field. Wherein, the file ID refers to the file ID of the portrait global file related to the portrait data, and the portrait global file is stored in the archive. The IMSI address code and the portrait data address code are respectively used for identifying the collection places of the IMSI data and the portrait data, and the data with the same address code is regarded as the data collected at the same place; the portrait data storage path is used for identifying the storage position of the portrait data, because the portrait data generally has large data volume, distributed storage is required to be adopted, access is carried out in a URL mode, and if the portrait data is stored in a single machine, the image path can be directly stored; the face feature value is a group of multi-dimensional vectors extracted by a face recognition algorithm and used for calculating the similarity of the faces. Further, the IMSI data partition table further includes a mobile phone information field, such as information of a mobile phone number, IMEI, an operator, and the like; the portrait data partition table also comprises other information fields obtained by face recognition, such as the gender and age of a person.
Therefore, step S1 is preceded by:
and step S0, establishing a portrait global file for the portrait data collected by the front-end collecting equipment according to the portrait characteristic value and the image quality index.
Specifically, the collected portrait data is compared with all files in the portrait file library through characteristic values to obtain the highest comparison score, the score exceeds the threshold value and is associated with the existing file ID, otherwise, whether the portrait quality exceeds the threshold value or not is judged, a portrait file is created by using the portrait picture if the portrait quality exceeds the threshold value and is associated with the file ID, and otherwise, the data is discarded. By establishing the portrait global file in advance, the portrait filing and the data fusion process can be separated, and the data processing speed is increased. Therefore, step S0 includes:
step S01, comparing the portrait characteristic values of the collected portrait data with the portrait characteristic values of all the portrait global files in the file library respectively to obtain a plurality of comparison scores;
step S02, judging whether the maximum value in the comparison values exceeds a first threshold value, if so, associating the acquired portrait data with the file ID of the portrait global file corresponding to the maximum value, if not, judging whether the image quality index of the acquired portrait data exceeds a second threshold value, if so, establishing a portrait global file for the acquired portrait data, and associating the corresponding file ID with the portrait data;
and step S03, storing the portrait data associated with the file ID into a portrait data table in a file library, wherein the portrait data table comprises the file ID, a portrait data address code, a portrait data acquisition time field and a portrait data storage path.
Further, in an embodiment of the present invention, between the step S0 and the step S1, the method further includes:
and establishing a mobile phone characteristic data table for the mobile phone characteristic data acquired by the front-end acquisition equipment, wherein the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field.
Step S2, traversing the data in the association data table, and counting the association information of the portrait data and the mobile phone feature data; (ii) a
Specifically, in an embodiment of the present invention, data in the memory is traversed, and correlation information between each portrait and the IMSI is calculated, where the statistical correlation information includes the number of times RT that both the portrait and the IMSI appear fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i ；。
And step S3, calculating the association degree of the portrait data and the mobile phone feature data according to the association information.
Specifically, in an embodiment of the present invention, the degree of association between the portrait data and the mobile phone feature data is calculated according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association of the portrait f with the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 The coefficient is constant, CS and KT respectively represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, CS represents the number of cross-site times (the number of cross-site times is 1 after two sites), and KT represents the number of cross-day times (two data are acquired in two days, and the number of cross-day times is 1).
Further, the update start time S is S + W, and the process returns to step S1 to start the calculation of the next window data.
The invention provides a portrait data and mobile phone feature data fusion method based on global filing, which is matched with a face recognition technology, associates the portrait and IMSI data acquired at the same time in the same place through data analysis, and simultaneously separates the portrait filing and the data fusion process by using a method of globally establishing a portrait archive, so as to perform fusion processing on the data, thereby greatly improving the utilization value of the data.
Example two
Based on the same invention concept, the invention also provides a system for fusing the portrait data and the mobile phone characteristic data based on the global filing, which comprises the following steps:
the association module 10 is configured to perform association processing on the read mobile phone feature data and portrait data of the specified time window to generate an association data table;
specifically, in an embodiment of the present invention, the association module reads two types of data with a time window W from the portrait data table and the mobile phone feature data table stored in the database according to the specified start time S (if the data in the window range is not loaded, it waits until the data is loaded, and then performs association query and sorting on the two types of data according to the same address code and the time difference smaller than the specified threshold W, and loads the queried data into the memory. The portrait data table comprises a file ID, a portrait data address code, a portrait data acquisition time field and a portrait data storage path; the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field. Wherein, the file ID refers to the file ID of the portrait global file related to the portrait data, and the portrait global file is stored in the archive. The IMSI address code and the portrait data address code are respectively used for identifying the collection places of the IMSI data and the portrait data, and the data with the same address code is regarded as the data collected at the same place; the portrait data storage path is used for identifying the storage position of the portrait data, because the portrait data generally has large data volume, distributed storage is required to be adopted, access is carried out in a URL mode, and if the portrait data is stored in a single machine, the image path can be directly stored; the face feature value is a group of multi-dimensional vectors extracted by a face recognition algorithm and used for calculating the similarity of the faces. Further, the IMSI data partition table further includes a mobile phone information field, such as information of a mobile phone number, IMEI, an operator, and the like; the portrait data partition table also comprises other information fields obtained by face recognition, such as the gender and age of a person.
The statistic module 20 is used for traversing the data in the association data table and counting the association information of the portrait data and the mobile phone feature data;
specifically, in an embodiment of the present invention, the statistical association information includes the number of occurrences RT of both the portrait and the IMSI, and the number RT is used for calculating the number of occurrences of the portrait and the IMSI fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i； 。
The calculating module 30 is used for calculating the association degree of the portrait data and the mobile phone feature data according to the association information;
specifically, in an embodiment of the present invention, the calculation module calculates the association degree between the portrait data and the mobile phone feature data according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association of the portrait f with the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 As constant coefficients, CS and KT represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, respectively.
The file establishing module 40 is used for establishing a portrait global file for the portrait data acquired by the front-end acquisition equipment according to the portrait characteristic value and the image quality index;
specifically, in an embodiment of the present invention, the portrait data collected by the portrait establishing module is compared with the feature values of all the files in the portrait file library to obtain the highest comparison score, and the associated existing file ID whose score exceeds the threshold value is associated with the portrait data. By establishing the portrait global file in advance, the portrait filing and the data fusion process can be separated, and the data processing speed is increased.
The mobile phone feature data table establishing module 50 is configured to establish a mobile phone feature data table for the mobile phone feature data acquired by the front-end acquisition device, where the mobile phone feature data table includes an IMSI identity, an IMSI address code, and an IMSI acquisition time field.
For other details, reference may be made to the first embodiment, which is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description refers to various units, and it should be noted that the above description of various units is divided into these units for clarity of illustration. However, in actual implementation, the boundaries of the various elements may be fuzzy. For example, any or all of the functional units herein may share various hardware and/or software elements. Also for example, any and/or all of the functional units herein may be implemented in whole or in part by a common processor executing software instructions. Accordingly, the scope of the present invention is not limited by the mandatory boundaries between the various hardware and/or software elements, unless explicitly claimed otherwise.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (2)
1. A method for fusing portrait data and mobile phone feature data based on global filing is characterized by comprising the following steps:
step S0, establishing a portrait global file for the portrait data collected by the front-end collecting equipment according to the portrait characteristic value and the image quality index; step S0 includes:
step S01, comparing the portrait characteristic values of the collected portrait data with the portrait characteristic values of all the portrait global files in the file library respectively to obtain a plurality of comparison scores;
step S02, judging whether the maximum value in the comparison values exceeds a first threshold value, if so, associating the acquired portrait data with the file ID of the portrait global file corresponding to the maximum value, if not, judging whether the image quality index of the acquired portrait data exceeds a second threshold value, if so, establishing a portrait global file for the acquired portrait data, and associating the corresponding file ID with the portrait data;
step S03, storing the portrait data associated with the file ID into a portrait data table in a file library, wherein the portrait data table comprises the file ID, a portrait data address code, a portrait data acquisition time field and a portrait data storage path;
establishing a mobile phone characteristic data table for mobile phone characteristic data acquired by front-end acquisition equipment, wherein the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field;
step S1, performing correlation processing on the read mobile phone characteristic data and portrait data of the specified time window to generate a correlation data table;
step S2, traversing the data in the association data table, and counting the association information of the portrait data and the mobile phone feature data;
step S3, calculating the association degree of the portrait data and the mobile phone feature data according to the association information;
in step S2, the statistical correlation information includes the number RT of occurrences of both the portrait and the IMSI fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i ；
In step S3, the degree of association between the portrait data and the mobile phone feature data is calculated according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association between the portrait f and the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 As constant coefficients, CS and KT represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, respectively.
2. A portrait data and mobile phone feature data fusion system based on global filing is characterized by comprising:
the correlation module is used for performing correlation processing on the read mobile phone characteristic data and the read portrait data of the specified time window to generate a correlation data table;
the statistical module is used for traversing the data in the associated data table and counting the associated information of the portrait data and the mobile phone characteristic data;
the calculation module is used for calculating the association degree of the portrait data and the mobile phone characteristic data according to the association information;
the file establishing module is used for establishing a portrait global file for the portrait data acquired by the front-end acquisition equipment according to the portrait characteristic value and the image quality index;
the mobile phone characteristic data table establishing module is used for establishing a mobile phone characteristic data table for mobile phone characteristic data acquired by front-end acquisition equipment, wherein the mobile phone characteristic data table comprises an IMSI identification code, an IMSI address code and an IMSI acquisition time field;
the statistical correlation information comprises the number RT of occurrences of the portrait and the IMSI fi Number of times RT that a portrait appears but an IMSI does not appear f Number of times RT that IMSI appears but portrait does not appear i ；
The calculation module calculates the association degree of the portrait data and the mobile phone feature data according to the following formula:
R(fi)＝VT fi /(VT fi +w 1 *RT f +w 2 *RT i )
VT fi ＝RT fi *(2 CS +KT)
wherein, r (fi) represents the degree of association of the portrait f with the IMSI i; VT fi Representing the virtual association times of f and i; w is a 1 、w 2 As constant coefficients, CS and KT represent the number of cross-site times and the number of cross-day times associated with the portrait f and the IMSI i, respectively.
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| CN114241749B (en) * | 2021-11-26 | 2022-12-13 | 深圳市戴升智能科技有限公司 | Video beacon data association method and system based on time sequence |
| CN114445646A (en) * | 2021-12-31 | 2022-05-06 | 深圳云天励飞技术股份有限公司 | Personnel association degree analysis method and device, electronic equipment and storage medium |
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