CN111091155A

CN111091155A - ID information pairing method, fusion method, device and storage medium

Info

Publication number: CN111091155A
Application number: CN201911315782.7A
Authority: CN
Inventors: 梁秀钦; 缪荣荣; 周广一; 齐云飞; 丁杰超
Original assignee: Beijing Mininglamp Software System Co ltd
Current assignee: Beijing Mininglamp Software System Co ltd
Priority date: 2019-12-18
Filing date: 2019-12-18
Publication date: 2020-05-01
Anticipated expiration: 2039-12-18
Also published as: CN111091155B

Abstract

The application provides an ID information pairing method, an ID information fusion method, an ID information pairing device and a storage medium, wherein the ID information pairing method is applied to an integration part of a multi-dimensional sensing device, the multi-dimensional sensing device further comprises a plurality of acquisition units connected with the integration part, and the acquisition units comprise: receiving ID information acquired by each acquisition unit, wherein each acquisition unit is synchronous in time, and the ID information is used for representing individual identity; and determining a matched ID information group which is mutually associated according to the received ID information, wherein the matched ID information group corresponds to the same individual identity. By using a plurality of acquisition units with synchronous time to acquire ID information, the consistency of acquired data in a time dimension can be ensured. Therefore, when the ID information acquired by the acquisition units is analyzed and processed and the ID information is fused, the accuracy can be high, the calculation resources are hardly spent on the time synchronization of the acquired ID information, the accuracy of the ID information fusion is ensured, the calculation resources are saved, and the operating pressure of equipment is relieved.

Description

ID information pairing method, fusion method, device and storage medium

Technical Field

The present application relates to the field of information fusion, and in particular, to an ID information pairing method, an ID information fusion method, an ID information pairing device, and a storage medium.

Background

ID (Identity Document, ID card identification number) fusion is a function of multiple identifiers for one entity, and multiple identifiers are communicated and point to the same entity (i.e., individual Identity) together, for example, a portrait acquisition device and a WIFI (Wireless Fidelity, Wireless compatibility identification) fence device are installed in one place, face information of one person (i.e., ID information of the face) can be acquired through the portrait device, and a mobile phone internet MAC Address (Media access control Address, i.e., a hardware Address) can be acquired through the WIFI fence. The function of associating the ID information of the human face with the MAC address (namely, another kind of ID information) is realized, namely ID fusion.

At present, ID information is collected through independent collecting equipment in ID fusion, and the problem of insufficient data precision exists. In some cases, it is difficult to make a reasonable and accurate determination on the data collected when the time difference range is short or the distance difference is small. Moreover, data acquired by the existing method needs to be calibrated in a large amount of data in the early stage, but still has the problem that the data is not synchronized in the time dimension (the data acquisition time is not consistent when each acquisition unit acquires data, but the time used by the acquisition units is the same time, for example, the time used is the time sent by the time service server), which is not beneficial to ensuring the accuracy of ID fusion.

Disclosure of Invention

An object of the embodiments of the present application is to provide an ID information pairing method, an ID information fusion device, and a storage medium, so as to ensure accuracy of ID information fusion as much as possible.

In order to achieve the above object, embodiments of the present application are implemented as follows:

in a first aspect, an embodiment of the present application provides an ID information pairing method, which is applied to an integration portion of a multidimensional sensing device, where the multidimensional sensing device further includes a plurality of acquisition units connected to the integration portion, and the method includes: receiving ID information acquired by each acquisition unit, wherein each acquisition unit is time-synchronized, and the ID information is used for representing individual identity; and determining a pairing ID information group which is associated with each other according to the received ID information, wherein the pairing ID information group corresponds to the same individual identity.

By using a plurality of acquisition units with synchronous time to acquire ID information, the consistency of acquired data in a time dimension can be ensured. Therefore, when the ID information acquired by the acquisition units is analyzed and processed and the ID information is fused, the accuracy can be high, the calculation resources are hardly spent on the time synchronization of the acquired ID information, the accuracy of the ID information fusion can be ensured, the calculation resources are saved, and the operating pressure of equipment is relieved.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining, according to the received ID information, a pair ID information group associated with each other includes: calculating the correlation support degree of the received ID information, and determining a support ID information group of which the correlation support degree meets a preset support index, wherein the correlation support degree represents the ratio of the collected times of different ID information in the same time space to the total collected times of the ID information in the time space; calculating the correlation confidence of the support ID information group, and determining a confidence ID information group of which the correlation confidence meets a preset confidence index, wherein the correlation confidence represents the proportion of the times of the same support ID information group of different ID information in the support ID information group to the times of acquiring single ID information in the support ID information group; and determining the pairing ID information group according to the confidence ID information group.

The supported ID information group is determined by calculating the association support degree of the ID information, and then the confidence degree of the support ID information group is calculated to determine the confidence ID information group, so that the accuracy of determining the paired ID information group pointing to the same individual identity from the ID information can be improved as much as possible.

With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the determining the pairing ID information group according to the confidence ID information group includes: determining a historical association confidence result of the confidence ID information group, wherein the historical association confidence result represents the ratio of the times of the confidence ID information group being the confidence ID information group in the past to the times of collecting any ID information in the confidence ID information group; and when the occupation ratio exceeds a preset occupation ratio, determining the confidence ID information group as the pairing ID information group.

The historical association confidence result of the confidence ID information group can reflect the possibility that the ID information in the confidence ID information group points to the identity of the same individual, and when the condition is met (namely the ratio of the historical association confidence result exceeds the preset ratio), the confidence ID information group is determined to be the paired ID information group, so that the ID information in the paired ID information group points to the identity of the same individual as far as possible, and the accuracy of ID information fusion is improved.

With reference to the first aspect, or with reference to any one of the first to the second possible implementation manners of the first aspect, in a third possible implementation manner of the first aspect, after determining, according to the received ID information, a pair ID information group that is associated with each other, the method further includes: and sending the pairing ID information group to a server.

By sending the pairing ID information group to the server, the server can further process the pairing ID information group, and the whole ID information pairing process is processed in the multi-dimensional sensing equipment (namely edge calculation), so that the operation pressure of the server can be relieved to the greatest extent.

With reference to the first aspect, or with reference to any one of the first to the second possible implementation manners of the first aspect, in a fourth possible implementation manner of the first aspect, before the receiving the ID information acquired by each acquisition unit, the method further includes: and sending a time synchronization instruction to each acquisition unit so that each acquisition unit corrects the time of the acquisition unit based on the time synchronization instruction.

By carrying out time unified processing on each acquisition unit before acquiring the ID information, the consistency of the acquisition units in the time dimension can be ensured, the consistency of the acquired data in the time dimension can be favorably ensured, and the accuracy of information fusion can be favorably ensured in the information fusion process.

In a second aspect, an embodiment of the present application provides an ID information pairing method, which is applied to any one of a plurality of acquisition units included in a multidimensional sensing device, where the multidimensional sensing device further includes an integration portion connected to each of the acquisition units, and the method includes: after time synchronization with other acquisition units in the multidimensional sensing equipment, acquiring ID information for representing individual identities; and sending the ID information to the integration part after preprocessing.

The ID information is acquired after time synchronization with other acquisition units in the multidimensional sensing equipment, so that the consistency of the acquired ID information on the time dimension can be ensured as much as possible, and the accuracy of ID information fusion is facilitated.

With reference to the second aspect, in a first possible implementation manner of the second aspect, before the collecting ID information used for characterizing an identity of an individual, the method further includes: receiving a time synchronization command sent by the integration part; and correcting the time according to the time synchronization instruction so as to synchronize the time with other acquisition units in the multidimensional sensing equipment.

In a third aspect, an embodiment of the present application provides an ID information fusion method, which is applied to a server included in an ID information fusion system, where the ID information fusion system further includes a multidimensional sensing device, and an integrated portion of the multidimensional sensing device is connected to the server, and the method includes: receiving a pairing ID information group transmitted by the integration portion; determining an ID information group to be fused associated with the pairing ID information group, wherein the ID information group to be fused at least has one piece of ID information which is the same as any piece of ID information in the pairing ID information group; and fusing the ID information group to be fused and the paired ID information group to determine fused ID information.

The ID information pointing to the same individual identity is perfected by receiving the pairing ID information group sent by the integration part of the multidimensional sensing equipment and fusing the pairing ID information group and the associated ID information group to be fused.

In a fourth aspect, an embodiment of the present application provides an ID information pairing apparatus, which is applied to an integration portion of a multidimensional sensing device, where the multidimensional sensing device further includes a plurality of acquisition units connected to the integration portion, and the apparatus includes: the ID information acquisition module is used for receiving the ID information acquired by each acquisition unit, wherein each acquisition unit is synchronous in time, and the ID information is used for representing the identity of an individual; and the ID information pairing module is used for determining a pairing ID information group which is mutually associated according to the received ID information, wherein the pairing ID information group corresponds to the same individual identity.

In a fifth aspect, an embodiment of the present application provides a storage medium, where one or more programs are stored, where the one or more programs are executable by one or more processors to implement the steps of the ID information pairing method described in any one of the first aspect, the first to fourth possible implementation manners of the first aspect, the second aspect, or the first possible implementation manner of the second aspect; or, implementing the steps of the ID information fusion method according to the third aspect.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a schematic diagram of an ID information fusion system provided in an embodiment of the present application.

Fig. 2 is a block diagram of a server according to an embodiment of the present disclosure.

Fig. 3 is a flowchart of an ID information pairing method performed by an integration portion according to an embodiment of the present disclosure.

Fig. 4 is a flowchart of an ID information pairing method executed by an acquisition unit according to an embodiment of the present disclosure.

Fig. 5 is a flowchart of an ID information fusion method according to an embodiment of the present application.

Fig. 6 is a schematic diagram of an ID information pairing apparatus according to an embodiment of the present application.

Fig. 7 is a schematic diagram of an ID information fusion device according to an embodiment of the present application.

Icon: 10-ID information fusion system; 11-a multi-dimensional perceiving device; 111-an integration; 112-an acquisition unit; 1121-first acquisition unit; 1122-a second acquisition unit; 1123-a third acquisition unit; 1124-a fourth acquisition unit; 12-a server; 121-a memory; 122-a communication module; 123-bus; 124-a processor; 20-ID information pairing means; 21-ID information acquisition module; 22-ID information transfer module; 23-an ID information obtaining module; 24-ID information pairing module; 30-ID information fusion means; 31-a pairing information obtaining module; 32-a to-be-fused information determining module; 33-ID information fusion module.

Detailed Description

Before introducing the ID information pairing and fusion method provided in the embodiment of the present application, some related noun concepts are explained first to facilitate understanding of the present solution.

Track information: the collected information of the person can be reflected by a portrait gate track, a vehicle gate track, an electronic fence track, a WIFI fence track, a human evidence checking and recording track and the like.

Implicit relationship: the relationship extracted from the event data by means of analysis, mining and reasoning is called implicit relationship.

Entity: an entity (i.e., an individual as referred to herein) is an individual that generates an event and is the subject of the event. For example, in a train event, which is mainly a person, the entity is a person, and there are various ways to represent a person, for example: an identity card, a passport number, a military officer's license, etc., so that a unique ID (i.e., ID information as referred to herein) that specifically represents a person may also be considered an entity.

Entity ID (also belonging to ID information as referred to herein): refers to a human or an belonging of a human. For example: a person's cell phone, car, virtual account, etc. can reveal something about a person's identity.

Relation rules: entities and entity events are possible, and explicit relationships indicate that relationships already exist objectively, and can be directly determined by facts, such as relationships. Implicit relationships (for example, multiple ID information points to the same individual identity) cannot be determined by simple information, and certain calculation rules are needed to perform some statistics and calculations from historical data to determine whether they exist (such rules belong to relationship rules). This relationship represents a possibility that two entities that satisfy the rule have this relationship with only a very high probability.

Event data: a class of activity data about an entity (e.g., a person) collected for a domain (e.g., a public security domain) such as: data of activities of entities in places are recorded in trips, lodging, internet cafes and the like.

ID fusion: aiming at a plurality of identifications (ID information) of one entity (individual), a plurality of identifications are communicated, and the same entity can be pointed to. For example, a portrait acquisition device and a WIFI fence device are installed in one location, face information (one kind of ID information) of a person can be acquired through the portrait device, and a mobile phone internet MAC address (one kind of ID information) can be acquired through the WIFI fence. The face ID and the MAC address are associated, namely ID fusion is realized. The ID fusion involved in the ID pairing and fusion method provided in the embodiment of the present application is mainly directed to a public security scenario, but is not limited to the public security scenario, and may also be applied to other scenarios, which are not limited herein.

Front-end perceiving device (e.g. the multidimensional perceiving device 11 referred to herein belongs to the front-end perceiving device): the front-end sensing device may be a device for collecting information installed by the police for collecting criminal whereabouts, such as: a face recognition device, a vehicle recognition device, a 4G (The 4th Generation Mobile Communication Technology, fourth Generation Mobile Communication Technology) electronic device, a WIFI peripheral, and The like.

Edge computing service: the task of back-end (server) computation is computed directly at the front-end (e.g., front-end aware device), referred to as edge computing service.

The above noun explanations are provided to facilitate the understanding of the present solution.

Based on this, the inventors of the present application provide an ID information pairing method, an ID information fusion method, an ID information pairing apparatus, and a storage medium, which ensure the accuracy of ID information fusion as much as possible.

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

Referring to fig. 1, fig. 1 is a schematic diagram of an ID information fusion system 10 according to an embodiment of the present disclosure. In this embodiment, the ID information fusion system 10 may include a multidimensional sensing device 11 and a server 12, and the multidimensional sensing device 11 is connected to the server 12 in a communication manner.

In this embodiment, the multi-dimensional sensing device 11 may include an integration portion 111 and a plurality of collecting units 112, and the integration portion 111 may be connected to each collecting unit 112.

For example, the acquisition units 112 of the multi-dimensional sensing device 11 may include a first acquisition unit 1121, a second acquisition unit 1122, a third acquisition unit 1123, and a fourth acquisition unit 1124, and each acquisition unit 112 may acquire different ID information. For example, the first acquisition unit 1121 may be a face recognition unit for acquiring ID information of a face; the second collecting unit 1122 may be a vehicle identifying unit for collecting ID information of a vehicle (e.g., a license plate of the vehicle); the third collecting unit 1123 may be a 4G electronic fence unit, and may be configured to collect, in real time, an identification number related to the mobile communication terminal, where the identification number includes information (which may be regarded as ID information of the terminal) such as a Subscriber Identity Module (SIM) card number, an equipment Identity Module (IMEI), and a MAC address; fourth acquisition unit 1124 can be the WIFI fence unit, can be used to survey and gather intelligent terminal and WIFI terminal's ID information. Of course, the type of the acquisition unit 112 is only an example and should not be considered as a limitation of the present application.

For example, the integration portion 111 may be connected to a plurality of acquisition units 112, and may process data acquired by the acquisition units 112; moreover, the integration unit 111 can conveniently realize time synchronization of the respective acquisition units 112. Here, the time synchronization of the acquisition units 112 refers to the consistency of the plurality of acquisition units 112 in the time dimension, and is not the consistency of the time of acquiring data.

In addition, the connection mode between the integration portion and the acquisition unit, the installation position of the integration portion, the installation position of the acquisition unit, and the like are generally arranged according to actual scene requirements. For example, when checking tickets at a railway station, a face recognition unit, an identity card scanning unit, a ticket code scanning unit and the like can be arranged to collect face ID information, identity card ID information and ticket ID information of passengers, so that the identities of the passengers can be verified. Here, the layout of the integration portion, the layout of the types, the number and the positions of the plurality of collecting units, and the connection mode between the integration portion and the plurality of collecting units should not be considered as limitations of the present application, and may be subject to the requirements of the actual application scenario.

The integration unit 111 may process the information collected by the collection unit 112, and then transmit the processed information to the server 12, so that the server 12 performs the fusion of the ID information.

Referring to fig. 2, fig. 2 is a block diagram of a server 12 according to an embodiment of the present disclosure. In this embodiment, the server 12 may be a web server, a cloud server, a server cluster composed of a plurality of servers, and the like, and is not limited herein.

Illustratively, the server 12 may include: a communication module 122 connected to the outside world via a network, one or more processors 124 for executing program instructions, a bus 123, a Memory 121 of different form, such as a magnetic disk, a ROM (Read-Only Memory), or a RAM (Random Access Memory), or any combination thereof. The memory 121, the communication module 122 and the processor 124 are connected by a bus 123.

Illustratively, the memory 121 has stored therein a program. The processor 124 can call and run these programs from the memory 121, so that the fusion method of the ID information can be performed by running the programs.

The ID information pairing method provided in the embodiment of the present application may be executed by the acquisition unit 112, or may be executed by the integration unit 111; the ID information pairing method performed by the acquisition unit 112 is different from the ID information pairing method performed by the integration unit 111, and the ID information can be paired by the mutual cooperation between the integration unit 111 and the acquisition unit 112. The ID information fusion method provided by the embodiment of the application can be operated by a server. Hereinafter, the ID information pairing method and the ID information fusion method will be described in detail.

Referring to fig. 3, fig. 3 is a flowchart illustrating an ID information pairing method performed by an integration portion according to an embodiment of the present disclosure. In the present embodiment, the ID information pairing method may be performed by the integration section 111 of the multidimensional sensing device 11. The ID information pairing method may include: step S11 and step S12.

Before step S11 is executed, the integration portion may synchronize the time of each acquisition unit in order to ensure the accuracy (in the time dimension) of the ID information acquired by the acquisition unit, thereby ensuring the accuracy of the acquired ID information in time, and further facilitating the accurate analysis of the relationship of the ID information.

For example, the integration portion may transmit a time synchronization instruction to each of the acquisition units to cause each of the acquisition units to correct its time based on the time synchronization instruction. For example, the integration part may send time synchronization instructions to the face recognition unit, the vehicle recognition unit, and the 4G electronic fence unit to cause these acquisition units to correct the time. The time synchronization instruction can enable each acquisition unit to carry out calibration based on the time used by the integration part so as to realize the time synchronization of each acquisition unit; the time synchronization instruction may enable each acquisition unit to obtain a uniform time by sending a time service request to the time service server, so as to implement time synchronization of each acquisition unit, which is not limited herein.

In addition, the sending frequency of the time synchronization command (i.e. the frequency of the integration portion performing time synchronization on each acquisition unit) may be preset, for example, once per day, or once per fixed 4-hour synchronization, or may be sent to each acquisition unit when a time error exceeding a preset error value is detected in each acquisition unit, and is not limited herein.

After receiving the time synchronization command, any one of the acquisition units of the multidimensional sensing device may correct its own time according to the time synchronization command, for example, by correcting based on the time of the integration unit, or by correcting the time by accessing the time service server, and executing the correction according to a specific command, which is not limited herein.

And after the acquisition unit synchronizes time, the ID information pairing method performed by the acquisition unit may be run. Referring to fig. 4, fig. 4 is a flowchart of an ID information pairing method executed by an acquisition unit according to an embodiment of the present disclosure. In the present embodiment, the ID information pairing method may include steps S21 and S22.

The acquisition unit may perform step S21 after receiving the time synchronization instruction.

Step S21: and after time synchronization with other acquisition units in the multi-dimensional sensing equipment, acquiring ID information for representing the identity of the individual.

In this embodiment, the collecting unit may collect ID information for characterizing the identity of the individual. For example, when the collecting unit is a face recognition unit, the collected ID information is face ID information, and when the collecting unit is a vehicle recognition unit, a license plate of a vehicle (i.e., vehicle ID information) may be collected.

After acquiring the ID information, the acquisition unit may perform step S22.

Step S22: and sending the ID information to the integration part after preprocessing.

In this embodiment, in order to ensure the accuracy of the ID information and reduce the working pressure of the integration portion, the collection unit may preprocess the collected ID information. The pretreatment mode may include: and filtering, screening and other operations are carried out on the collected ID information so as to ensure the accuracy of the ID information. And, in order to reduce the operating pressure of the integration as much as possible, the acquisition unit may transmit the ID information to the integration using a preset standard (for example, data is transmitted using a frequency of 20 frames and 30 frames). In this way, the different ID information collected by each collection unit has a uniform frequency without the need for the integration portion to process it again, so that the working pressure of the integration portion can be reduced.

By using a plurality of acquisition units with synchronous time to acquire ID information, the consistency of acquired data in a time dimension can be ensured. Therefore, when the ID information acquired by the acquisition units is analyzed and processed and the ID information is fused, the accuracy can be high, the operation of time synchronization of the acquired ID information is hardly needed to be performed by using computing resources, the accuracy of the ID information fusion can be ensured, the computing resources can be saved, and the operating pressure of equipment can be relieved.

After the collection unit transmits the collected ID information to the integration part, the integration part may perform step S11.

Step S11: and receiving ID information acquired by each acquisition unit, wherein each acquisition unit is time-synchronized, and the ID information is used for representing the identity of an individual.

In this embodiment, the integration portion may receive the ID information acquired by each acquisition unit. For example, the integration portion may receive face ID information collected by the face recognition unit and vehicle ID information collected by the vehicle recognition unit.

After receiving the ID information acquired by the acquisition unit, the integration part may perform step S12. Here, the integration unit does not have to perform step S12 after receiving the ID information collected by each of the collection units, but may be configured to receive the ID information collected by all of the collection units each time, and is not limited here.

Step S12: and determining a pairing ID information group which is associated with each other according to the received ID information, wherein the pairing ID information group corresponds to the same individual identity.

In this embodiment, the integration portion may process the received ID information to determine different ID information pointing to the same individual identity. Note that the different ID information described in the present embodiment may be different types of ID information, or may be the same type of ID information but different in information. For example, a person has two mobile phones, and the ID information of both mobile phones and the face ID of the person point to the same individual identity. At this time, the person carries the two mobile phones and is collected by the collecting units (the face recognition unit, the WIFI electronic fence unit, and the 4G electronic fence unit) of the multidimensional sensing device provided in the embodiment of the present application, so that the person is determined as the pairing ID information group by the integrating part.

In this embodiment, the integration portion may process the received ID information to determine the paired ID information group.

For example, the integration portion may determine the support ID information group from which the association support degree satisfies the preset support index by calculating the association support degree (i.e., the support degree in the association analysis) of the received ID information. The association support degree represents the ratio of the collected times of different ID information under the same time and space to the total collected times of the ID information under the time and space. Colloquially, it is understood that the number of times event a occurs simultaneously with event B, is a proportion of the total number of times an event has occurred.

For example, the association support degree between a group of two different pieces of ID information is calculated, and the association support degree of the received ID information may be calculated using a trained calculation model for calculating the association support degree between ID information. By adopting model calculation, a large amount of calculation resources and calculation time can be saved, and the calculation efficiency is improved.

After determining the association support degree of the received ID information, the integration portion may determine a support ID information group satisfying the requirement in the received ID information according to a preset support index. Since the later fusion of the ID information determines that more than 2 different ID information correspond to the same individual identity, the amount of calculation can be reduced compared with the calculation of the association support degrees of more than 2 different ID information when calculating the association support degrees of the ID information, and therefore, the former (i.e., the later fusion of the ID information determines that more than 2 different ID information correspond to the same individual identity) is taken as an example in the present embodiment, but should not be taken as a limitation to the present application.

After the support ID information group is determined, the integration portion may determine the confidence ID information group from the support ID information group.

For example, the integration portion may calculate the association confidence (i.e., the confidence in the association analysis) of the support ID information sets to determine the confidence ID information set whose association confidence satisfies the preset confidence index. The association confidence degree represents the proportion of the times that different ID information in the support ID information group is the same support ID information group to the collected times of single ID information in the support ID information group. Colloquially, it is the ratio of the number of times event a and event B occur simultaneously to the number of times event a (or event B) occurs alone.

For example, the association confidence between the support ID information sets is calculated, and the association confidence of the support ID information sets can also be calculated using a trained calculation model for calculating the association confidence of the support ID information sets. By adopting model calculation, a large amount of calculation resources and calculation time can be saved, and the calculation efficiency is improved.

For example, the integration unit may further extract a spatiotemporal feature of the ID information in the support ID information set to perform the association confidence of the support ID information set according to the spatiotemporal feature of the ID information, which is not limited herein.

After the association confidence of the support ID information group is determined, the integration portion may determine a confidence ID information group satisfying the requirement among the support ID information groups according to a preset confidence index.

After the support ID information group is determined, the integration portion may determine the pairing ID information group based on the confidence ID information group.

For example, the integration unit may determine a historical association confidence result of the confidence ID information set, wherein the historical association confidence result indicates a ratio of the number of times that the confidence ID information set was used as the confidence ID information set in the past to the number of times that any ID information in the confidence ID information set was acquired.

For example, the confidence ID information group C includes ID information of C1 and C2. And the integration part can determine the number of times of acquiring any one of the ID information of C1 and C2 (for example, the number of times of acquiring at least one of the ID information of C1 and C2 is 100 times), and determine the number of times of determining the ID information groups of C1 and C2 as confidence ID information groups (for example, 50 times), so that the percentage of the historical associated confidence results is 50%.

After determining the historical association confidence result, the integration portion may compare the ratio of the historical association confidence result with a preset ratio. And when the ratio of the historical association confidence result exceeds the preset ratio, determining the confidence ID information group as a pairing ID information group.

For example, the preset duty ratio is 80%, the duty ratio of the history association confidence result is 50%, and then 50% < 80%, and therefore, the confidence ID information group cannot be determined as the pair ID information group for a while. As another example, if the preset duty ratio is 70% and the history association confidence result of a certain confidence ID information set is 90%, then the confidence ID information set may be determined as the pairing ID information set.

After the pair ID information group is specified, the integration unit may transmit the specified pair ID information group to a server of the ID information fusion system. And the server can operate the ID information fusion method provided by the embodiment of the application.

Referring to fig. 5, fig. 5 is a flowchart of an ID information fusion method according to an embodiment of the present disclosure. In the present embodiment, the ID information fusion method may include step S31, step S32, and step S33.

When the integration portion transmits the determined pairing ID information group to the server, the server may perform step S31.

Step S31: receiving the pairing ID information group transmitted by the integration portion.

In this embodiment, the server may receive the pairing ID information group transmitted by the integration part.

After receiving the pairing ID information set, the server may perform step S32.

Step S32: and determining an ID information group to be fused associated with the pairing ID information group, wherein the ID information group to be fused at least has one piece of ID information which is the same as any piece of ID information in the pairing ID information group.

In this embodiment, the server may determine the ID information group to be fused associated with the pairing ID information group.

For example, the server may determine the ID information in the paired ID information group. For example, if the pair ID information group D includes ID information D1 and ID information D2, the server may determine D1 and D2 therein.

After the ID information in the ID information group is determined, the server may match the determined ID information with other paired ID information groups, may also match with the ID information that has already been fused, or may match at the same time, which is not limited herein.

The server may determine, from the other paired ID information groups and/or the ID information already fused, an ID information group to be fused that has at least one piece of ID information that is the same as any piece of ID information in the paired ID information group. For example, a certain pair ID information group (or ID information that has already been fused) has ID information D1 and ID information D3, and since the pair ID information group D includes ID information D1 and ID information D2, which have common ID information D1, the identities of individuals to which they point are the same individual identity, so that the pair ID information group (or ID information that has already been fused) can be determined as an ID information group to be fused.

After determining the ID information group to be fused, the server may perform step S33.

Step S33: and fusing the ID information group to be fused and the paired ID information group to determine fused ID information.

In this embodiment, the server may fuse the ID information group to be fused and the pairing ID information group to determine the fused ID information. For example, duplicate ID information may not be included in the determined fused ID information. For example, the pair ID information group D (including D1 and D2) is fused with the ID information group to be fused (including D1 and D3), and the determined fused ID information (including D1, D2, and D3).

Based on the same inventive concept, the embodiment of the present application further provides a schematic diagram of an ID information pairing device 20. Referring to fig. 6, fig. 6 is a block diagram of an ID information pairing apparatus 20 according to an embodiment of the present disclosure.

The embodiment of the present application provides an ID information pairing device 20, which is applied to any one of a plurality of acquisition units included in a multidimensional sensing device, the multidimensional sensing device further includes an integration portion connected to each of the acquisition units, and the ID information pairing device 20 includes:

and the ID information acquisition module 21 is configured to acquire ID information used for representing an identity of an individual after time synchronization with other acquisition units in the multidimensional sensing device.

And an ID information transmission module 22, configured to send the preprocessed ID information to the integration portion.

In this embodiment, the ID information pairing device 20 further includes a time synchronization module, configured to receive a time synchronization instruction sent by the integration part before the ID information acquisition module 21 acquires ID information for representing an identity of an individual; and correcting the time according to the time synchronization instruction so as to synchronize the time with other acquisition units in the multidimensional sensing equipment.

And, the embodiment of the present application further provides an ID information pairing apparatus 20, which is applied to an integration portion of a multidimensional sensing device, where the multidimensional sensing device further includes a plurality of acquisition units connected to the integration portion, and the ID information pairing apparatus 20 includes:

an ID information obtaining module 23, configured to receive ID information acquired by each acquisition unit, where each acquisition unit is time-synchronized, and the ID information is used to represent an individual identity.

And the ID information pairing module 24 is configured to determine a pairing ID information group associated with each other according to the received ID information, where the pairing ID information group corresponds to the same individual identity.

In this embodiment, the ID information pairing module 24 is further configured to calculate an association support degree of the received ID information, and determine a support ID information group of which the association support degree meets a preset support index, where the association support degree represents a ratio of the number of times that different ID information is collected in the same time space to the total number of times that ID information is collected in the time space; calculating the correlation confidence of the support ID information group, and determining a confidence ID information group of which the correlation confidence meets a preset confidence index, wherein the correlation confidence represents the proportion of the times of the same support ID information group of different ID information in the support ID information group to the times of acquiring single ID information in the support ID information group; and determining the pairing ID information group according to the confidence ID information group.

In this embodiment, the ID information pairing module 24 is further configured to determine a historical association confidence result of the confidence ID information set, where the historical association confidence result indicates a ratio between the number of times that the confidence ID information set is the confidence ID information set in the past and the number of times that any piece of ID information in the confidence ID information set is collected; and when the occupation ratio exceeds a preset occupation ratio, determining the confidence ID information group as the pairing ID information group.

In this embodiment, the apparatus further includes a pairing information sending module, configured to send the pairing ID information group to the server after the ID information pairing module 24 determines the pairing ID information group associated with each other according to the received ID information.

In this embodiment, the ID information pairing device 20 further includes a time synchronization module, configured to send a time synchronization instruction to each of the acquisition units before the ID information obtaining module 23 receives the ID information acquired by each of the acquisition units, so that each of the acquisition units corrects its time based on the time synchronization instruction.

Referring to fig. 7, fig. 7 is a schematic diagram of an ID information fusion device according to an embodiment of the present application.

The embodiment of the present application provides an ID information fusion device 30, which is applied to a server included in an ID information fusion system, where the ID information fusion system further includes a multidimensional sensing device, an integrated portion of the multidimensional sensing device is connected to the server, and the ID information fusion device 30 includes:

a pairing information obtaining module 31 for receiving the pairing ID information group transmitted by the integration part.

And an information to be fused determining module 32, configured to determine an ID information group to be fused associated with the pairing ID information group, where the ID information group to be fused at least has one piece of ID information that is the same as any piece of ID information in the pairing ID information group.

And an ID information fusion module 33, configured to fuse the to-be-fused ID information group and the pairing ID information group, and determine fusion ID information.

The embodiment of the present application further provides a storage medium, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the steps of the ID information pairing method in the embodiment; or, the steps of the ID information fusion method in this embodiment are implemented.

To sum up, the embodiments of the present application provide an ID information pairing method, an ID information fusion device, and a storage medium, where a plurality of time-synchronized acquisition units are used to acquire ID information, so that it is ensured that acquired data has consistency in time dimension. Therefore, when the ID information acquired by the acquisition units is analyzed and processed and the ID information is fused, the accuracy can be high, the calculation resources are hardly spent on the time synchronization of the acquired ID information, the accuracy of the ID information fusion can be ensured, the calculation resources are saved, and the operating pressure of equipment is relieved.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An ID information pairing method is applied to an integration part of a multi-dimensional sensing device, the multi-dimensional sensing device further comprises a plurality of acquisition units connected with the integration part, and the method comprises the following steps:

receiving ID information acquired by each acquisition unit, wherein each acquisition unit is time-synchronized, and the ID information is used for representing individual identity;

and determining a pairing ID information group which is associated with each other according to the received ID information, wherein the pairing ID information group corresponds to the same individual identity.

2. The ID information pairing method according to claim 1, wherein the determining a pairing ID information group associated with each other according to the received ID information includes:

calculating the correlation support degree of the received ID information, and determining a support ID information group of which the correlation support degree meets a preset support index, wherein the correlation support degree represents the ratio of the collected times of different ID information in the same time space to the total collected times of the ID information in the time space;

calculating the correlation confidence of the support ID information group, and determining a confidence ID information group of which the correlation confidence meets a preset confidence index, wherein the correlation confidence represents the proportion of the times of the same support ID information group of different ID information in the support ID information group to the times of acquiring single ID information in the support ID information group;

and determining the pairing ID information group according to the confidence ID information group.

3. The ID information pairing method according to claim 2, wherein the determining the pairing ID information group according to the confidence ID information group includes:

determining a historical association confidence result of the confidence ID information group, wherein the historical association confidence result represents the ratio of the times of the confidence ID information group being the confidence ID information group in the past to the times of collecting any ID information in the confidence ID information group;

and when the occupation ratio exceeds a preset occupation ratio, determining the confidence ID information group as the pairing ID information group.

4. The ID information pairing method according to any one of claims 1 to 3, wherein after the determination of the paired ID information groups associated with each other from the received ID information, the method further comprises:

and sending the pairing ID information group to a server.

5. The ID information pairing method according to any one of claims 1 to 3, wherein before the receiving the ID information acquired by each of the acquisition units, the method further comprises:

and sending a time synchronization instruction to each acquisition unit so that each acquisition unit corrects the time of the acquisition unit based on the time synchronization instruction.

6. An ID information pairing method is applied to any one of a plurality of acquisition units included in a multi-dimensional sensing device, the multi-dimensional sensing device further comprises an integration part connected with each acquisition unit, and the method comprises the following steps:

after time synchronization with other acquisition units in the multidimensional sensing equipment, acquiring ID information for representing individual identities;

and sending the ID information to the integration part after preprocessing.

7. The ID information pairing method according to claim 6, wherein before the collecting ID information for characterizing an identity of an individual, the method further comprises:

receiving a time synchronization command sent by the integration part;

and correcting the time according to the time synchronization instruction so as to synchronize the time with other acquisition units in the multidimensional sensing equipment.

8. An ID information fusion method is applied to a server included in an ID information fusion system, the ID information fusion system further includes a multidimensional sensing device, an integration part of the multidimensional sensing device is connected with the server, and the method includes:

receiving a pairing ID information group transmitted by the integration portion;

determining an ID information group to be fused associated with the pairing ID information group, wherein the ID information group to be fused at least has one piece of ID information which is the same as any piece of ID information in the pairing ID information group;

and fusing the ID information group to be fused and the paired ID information group to determine fused ID information.

9. An ID information pairing device, which is applied to an integration part of a multi-dimensional sensing device, wherein the multi-dimensional sensing device further comprises a plurality of acquisition units connected with the integration part, and the device comprises:

the ID information acquisition module is used for receiving the ID information acquired by each acquisition unit, wherein each acquisition unit is synchronous in time, and the ID information is used for representing the identity of an individual;

and the ID information pairing module is used for determining a pairing ID information group which is mutually associated according to the received ID information, wherein the pairing ID information group corresponds to the same individual identity.

10. A storage medium characterized by storing one or more programs executable by one or more processors to implement the steps of the ID information pairing method according to any one of claims 1 to 7; or, implementing the steps of the ID information fusion method according to claim 8.