CN114676338A - Intelligent community management system and method - Google Patents

Abstract

The invention provides a smart community management system and a smart community management method, and relates to the technical field of smart communities. In the invention, user behavior characteristic information acquired by each user terminal equipment in a plurality of user terminal equipment is acquired, and a plurality of pieces of user behavior characteristic information corresponding to a plurality of intelligent community users are acquired; acquiring first user relationship information between every two intelligent community users in a plurality of intelligent community users; based on the plurality of pieces of user behavior characteristic information, updating first user relation information between every two smart community users in the plurality of smart community users to obtain second user relation information between every two smart community users in the plurality of smart community users, wherein the second user relation information is used for representing user correlation degree between the two corresponding smart community users. Based on the method, the problem that the intelligent community management effect is poor in the prior art can be improved.

Description

Intelligent community management system and method

Technical Field

The invention relates to the technical field of intelligent communities, in particular to an intelligent community management system and method.

Background

In the application of the smart community, in order to effectively manage the smart community, the relationship of each smart community user in the smart community is generally determined, so that subsequent management application is performed based on the determined relationship. However, in the prior art, generally, the relationship is determined based on the identity information, such as whether the relationship belongs to a relationship between friends and relatives, a relationship between neighbors, a relationship between friends, or the like, so that the determined relationship is difficult to be effectively utilized, that is, the effect of smart community management is not good.

Disclosure of Invention

In view of the above, the present invention provides a system and a method for managing smart communities to solve the problem of poor management effect of smart communities in the prior art.

In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:

a management method of a smart community is applied to a management server of the smart community, the management server of the smart community is in communication connection with a plurality of user terminal devices, the user terminal devices correspond to smart community users one by one, and the management method of the smart community comprises the following steps:

acquiring user behavior characteristic information acquired by each user terminal device in the plurality of user terminal devices to acquire a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users, wherein each piece of user behavior characteristic information in the plurality of pieces of user behavior characteristic information is acquired by acquiring user characteristics of the corresponding smart community user based on the corresponding user terminal device;

Acquiring first user relationship information between every two intelligent community users in the plurality of intelligent community users, wherein the first user relationship information between every two intelligent community users in the plurality of intelligent community users is obtained based on the correlation between the user identity information of the intelligent community users;

based on many user behavior characteristic information, it is right first user relation information between per two wisdom community users among a plurality of wisdom community users updates, obtains second user relation information between per two wisdom community users among a plurality of wisdom community users, wherein, second user relation information is used for the user correlation degree between the two wisdom community users that the sign corresponds.

In some preferred embodiments, in the method for managing a smart community, the step of obtaining user behavior feature information collected by each of the plurality of user terminal devices to obtain a plurality of pieces of user behavior feature information corresponding to the plurality of smart community users includes:

generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information;

And respectively acquiring user behavior characteristic information acquired and sent by each user terminal device in the plurality of user terminal devices based on the user characteristic acquisition notification information to obtain a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users.

In some preferred embodiments, in the intelligent community management method, the step of generating user characteristic collection notification information and sending the user characteristic collection notification information to each of the plurality of user terminal devices includes:

determining first acquisition time interval information, wherein the time length corresponding to the first acquisition time interval information is greater than a preset time length threshold;

the first acquisition time interval information is respectively sent to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for displaying the first acquisition time interval information to a corresponding smart community user after receiving the first acquisition time interval information, and responding to response operation performed by the corresponding smart community user based on the first acquisition time interval information to generate corresponding time response information;

Respectively acquiring the time response information sent by each user terminal equipment in the plurality of user terminal equipment to obtain a plurality of pieces of time response information corresponding to the plurality of user terminal equipment, and determining whether each piece of time response information in the plurality of pieces of time response information represents that user characteristic collection is allowed to be carried out in a time period corresponding to the first collection time interval information;

if each piece of time response information in the plurality of pieces of time response information represents that user feature acquisition is allowed to be performed in a time period corresponding to the first acquisition time interval information, generating corresponding user feature acquisition notification information based on the first acquisition time interval information;

and respectively sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the first acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information, so as to obtain corresponding user behavior characteristic information.

In some preferred embodiments, in the intelligent community management method, the step of generating user characteristic collection notification information and sending the user characteristic collection notification information to each of the plurality of user terminal devices further includes:

if at least one piece of time response information in the plurality of pieces of time response information represents that the representation is different and the user characteristic acquisition is carried out in the time period corresponding to the first acquisition time interval information, determining the user terminal equipment corresponding to the at least one piece of time response information as user terminal equipment to be confirmed, and acquiring target time interval information which allows the smart community user corresponding to the user terminal equipment to be confirmed to carry out user characteristic acquisition aiming at each user terminal equipment to be confirmed;

updating the first acquisition time interval information based on the target time interval information corresponding to each user terminal device to be confirmed to obtain corresponding second acquisition time interval information, and determining whether each piece of currently acquired time response information fed back to the second acquisition time interval information by each user terminal device in the plurality of user terminal devices represents and agrees to perform user feature acquisition in a time period corresponding to the second acquisition time interval information;

If at least one piece of currently acquired time response information represents that the time response information is different and aims at user characteristic acquisition in a time period corresponding to the second acquisition time interval information, updating the second acquisition time interval information to obtain current second acquisition time interval information, and confirming the current second acquisition time interval information until each piece of currently acquired time response information fed back by each piece of user terminal equipment to the current second acquisition time interval information represents that user characteristic acquisition is allowed to be carried out in the time period corresponding to the current second acquisition time interval information;

if each piece of currently acquired time response information represents that user feature acquisition is agreed to be performed in a time period corresponding to the current second acquisition time interval information, generating corresponding user feature acquisition notification information based on the current second acquisition time interval information;

and respectively sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the current second acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information, so as to obtain corresponding user behavior characteristic information.

In some preferred embodiments, in the above method for managing a smart community, the step of obtaining first user relationship information between every two smart community users of the plurality of smart community users includes:

determining the user identity of each of the intelligent community users to obtain user identity information corresponding to the intelligent community user;

for every two smart community users in the plurality of smart community users, determining identity relation information between the two smart community users based on a pre-constructed user correlation relation database and user identity information corresponding to the two smart community users, and determining identity correlation between the two smart community users based on the identity relation information and a one-to-one correspondence between pre-configured identity relation-correlation degree characterization values to obtain first user relation information between the two smart community users.

In some preferred embodiments, in the method for managing smart communities, the step of updating first user relationship information between every two smart community users in the plurality of smart community users based on the plurality of pieces of user behavior feature information to obtain second user relationship information between every two smart community users in the plurality of smart community users includes:

For every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information;

based on behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, updating first user relationship information between every two pieces of smart community users in the plurality of smart community users to obtain second user relationship information between every two pieces of smart community users in the plurality of smart community users.

In some preferred embodiments, in the smart community management method, the step of updating first user relationship information between every two smart community users in the plurality of smart community users based on the behavior feature similarity between every two smart community users in the plurality of user behavior feature information to obtain second user relationship information between every two smart community users in the plurality of smart community users includes:

performing mean calculation based on the behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information to obtain corresponding similarity calculation means, and determining the magnitude between the behavior feature similarity between the two pieces of user behavior feature information and the similarity calculation means for every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information;

Performing mean value calculation based on the identity relevancy represented by the first user relationship information between every two of the plurality of smart community users to obtain corresponding relevancy calculation mean values, and determining the relative size relationship between the identity relevancy represented by the first user relationship information between the two smart community users and the relevancy calculation mean values for every two of the plurality of smart community users;

for every two smart community users in the plurality of smart community users, if the identity correlation represented by the first user relationship information between the two smart community users is smaller than the correlation calculation mean value and the behavior feature similarity between the two pieces of user behavior feature information corresponding to the two smart community users is smaller than the similarity calculation mean value, determining the larger value between the identity correlation and the behavior feature similarity as the second user relationship information between the two smart community users;

for every two smart community users in the plurality of smart community users, if the identity correlation represented by first user relationship information between the two smart community users is larger than or equal to the correlation calculation mean value, or the behavior feature similarity between two pieces of user behavior feature information corresponding to the two smart community users is larger than or equal to the similarity calculation mean value, performing weighted summation calculation on the identity correlation and the behavior feature similarity, and taking an obtained weighted summation value as second user relationship information between the two smart community users, wherein a weighting coefficient corresponding to the identity correlation is larger than a weighting coefficient corresponding to the behavior feature similarity.

An embodiment of the present invention further provides a smart community management system, which is applied to a smart community management server, wherein the smart community management server is communicatively connected to a plurality of user terminal devices, the plurality of user terminal devices correspond to a plurality of smart community users one by one, and the smart community management system includes:

the characteristic information acquisition module is used for acquiring user behavior characteristic information acquired by each user terminal device in the user terminal devices to acquire a plurality of pieces of user behavior characteristic information corresponding to the smart community users, wherein each piece of user behavior characteristic information in the user behavior characteristic information is acquired by acquiring user characteristics of the corresponding smart community user based on the corresponding user terminal device;

the relationship information acquisition module is used for acquiring first user relationship information between every two intelligent community users in the plurality of intelligent community users, wherein the first user relationship information between every two intelligent community users in the plurality of intelligent community users is obtained based on the correlation relationship between the user identity information of the intelligent community users;

and the relationship information updating module is used for updating first user relationship information between every two smart community users in the smart community users based on the plurality of user behavior characteristic information to obtain second user relationship information between every two smart community users in the smart community users, wherein the second user relationship information is used for representing the user correlation degree between the two corresponding smart community users.

In some preferred embodiments, in the above intelligent community management system, the characteristic information obtaining module is specifically configured to:

generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information;

and respectively acquiring user behavior characteristic information acquired and sent by each user terminal device in the plurality of user terminal devices based on the user characteristic acquisition notification information, and acquiring a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users.

In some preferred embodiments, in the above intelligent community management system, the relationship information updating module is specifically configured to:

for every two pieces of user behavior feature information in the multiple pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information;

Based on behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, updating first user relationship information between every two pieces of smart community users in the plurality of smart community users to obtain second user relationship information between every two pieces of smart community users in the plurality of smart community users.

The intelligent community management system and the method provided by the embodiment of the invention can firstly obtain the user behavior characteristic information collected by each user terminal device in a plurality of user terminal devices, obtain a plurality of pieces of user behavior characteristic information corresponding to a plurality of intelligent community users, then obtain the first user relationship information between every two intelligent community users in the plurality of intelligent community users, finally update the first user relationship information between every two intelligent community users in the plurality of intelligent community users based on the plurality of pieces of user behavior characteristic information, obtain the second user relationship information between every two intelligent community users in the plurality of intelligent community users, namely realize the update of the user relationship by combining the behavior characteristic information of the users on the basis of the correlation between the user identity information, and can ensure the reliability of the update, thereby improve the not good problem of effect of wisdom community management among the prior art.

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

Drawings

Fig. 1 is a block diagram of an intelligent community management server according to an embodiment of the present invention.

Fig. 2 is a flowchart illustrating a smart community management method according to an embodiment of the present invention.

Fig. 3 is a schematic diagram illustrating modules included in the intelligent community management system according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, an embodiment of the present invention provides an intelligent community management server. Wherein the smart community management server may include a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the intelligent community management method provided by the embodiment of the present invention (as described later).

Specifically, in one possible implementation, the Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

Specifically, in a possible implementation manner, the Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components.

Also, the structure shown in fig. 1 is merely an illustration, and the smart community management server may further include more or less components than those shown in fig. 1, or have a different configuration from that shown in fig. 1, for example, may include a communication unit for information interaction with other devices.

With reference to fig. 2, an embodiment of the present invention further provides an intelligent community management method, which can be applied to the intelligent community management server. The method steps defined by the relevant flow of the intelligent community management method can be realized by the intelligent community management server. The intelligent community management server is in communication connection with a plurality of user terminal devices, and the user terminal devices correspond to the intelligent community users one to one. The specific process shown in fig. 2 will be described in detail below.

Step S110, obtaining the user behavior feature information collected by each user terminal device of the plurality of user terminal devices, and obtaining a plurality of user behavior feature information corresponding to the plurality of smart community users.

In the embodiment of the present invention, the smart community management server may obtain the user behavior feature information acquired by each of the plurality of user terminal devices, so as to obtain a plurality of pieces of user behavior feature information corresponding to the plurality of smart community users. Each piece of user behavior characteristic information in the plurality of pieces of user behavior characteristic information is obtained by collecting user characteristics of corresponding smart community users based on corresponding user terminal equipment (such as log information of the user terminal equipment).

Step S120, obtaining first user relationship information between every two smart community users in the plurality of smart community users.

In an embodiment of the present invention, the smart community management server may obtain first user relationship information between every two smart community users of the plurality of smart community users. The first user relationship information between every two intelligent community users in the plurality of intelligent community users is obtained based on the correlation between the user identity information of the intelligent community users.

Step S130, updating first user relationship information between every two of the smart community users based on the plurality of pieces of user behavior feature information, to obtain second user relationship information between every two of the smart community users.

In this embodiment of the present invention, the smart community management server may update first user relationship information between every two smart community users in the plurality of smart community users based on the plurality of pieces of user behavior feature information, so as to obtain second user relationship information between every two smart community users in the plurality of smart community users. And the second user relationship information is used for representing the user correlation degree between the two corresponding intelligent community users.

Based on the intelligent community management method, the user behavior characteristic information collected by each user terminal device in the plurality of user terminal devices can be obtained first, a plurality of pieces of user behavior characteristic information corresponding to a plurality of intelligent community users are obtained, first user relationship information between every two smart community users of the plurality of smart community users may then be obtained, and finally, based on the plurality of pieces of user behavior feature information, updating first user relationship information between every two of the plurality of smart community users to obtain second user relationship information between every two of the plurality of smart community users, namely, on the basis of the correlation among the user identity information, the updating of the user relationship is realized by combining the behavior characteristic information of the user, the reliability of updating can be guaranteed, and therefore the problem that in the prior art, the intelligent community management effect is not good is solved.

Specifically, in one possible implementation, step S110 may include the following steps:

firstly, generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information;

secondly, user behavior feature information acquired and sent by each user terminal device of the plurality of user terminal devices based on the user feature acquisition notification information is acquired respectively, and a plurality of pieces of user behavior feature information corresponding to the plurality of smart community users are acquired.

Specifically, in a possible implementation manner, the step of generating the user characteristic collection notification information and sending the user characteristic collection notification information to each of the plurality of user terminal devices may include the following steps:

firstly, determining first acquisition time interval information, wherein the time length corresponding to the first acquisition time interval information is greater than a preset time length threshold;

Secondly, the first acquisition time interval information is respectively sent to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for displaying the first acquisition time interval information to a corresponding smart community user after receiving the first acquisition time interval information, and responding to response operation of the corresponding smart community user based on the first acquisition time interval information to generate corresponding time response information;

then, respectively acquiring the time response information sent by each user terminal device in the plurality of user terminal devices, obtaining a plurality of pieces of time response information corresponding to the plurality of user terminal devices, and determining whether each piece of time response information in the plurality of pieces of time response information represents that user feature acquisition is allowed to be carried out in a time period corresponding to the first acquisition time interval information;

then, if each piece of time response information in the plurality of pieces of time response information represents that user characteristic collection is allowed to be carried out in a time period corresponding to the first collection time interval information, generating corresponding user characteristic collection notification information based on the first collection time interval information;

And finally, the user characteristic acquisition notification information is respectively sent to each user terminal device in the user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the first acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information, and corresponding user behavior characteristic information is obtained.

Specifically, in a possible implementation manner, the step of generating the user characteristic collecting notification information and sending the user characteristic collecting notification information to each of the plurality of user terminal devices may further include the following steps:

firstly, if at least one piece of time response information in the plurality of pieces of time response information represents different user characteristic acquisition in a time period corresponding to the first acquisition time interval information, determining user terminal equipment corresponding to the at least one piece of time response information as user terminal equipment to be confirmed, and acquiring target time interval information which allows a user of an intelligent community corresponding to the user terminal equipment to be confirmed to agree to perform user characteristic acquisition for each user terminal equipment to be confirmed;

Secondly, updating the first acquisition time interval information (such as the target time interval information) based on the target time interval information corresponding to each user terminal device to be confirmed to obtain corresponding second acquisition time interval information, and determining whether each piece of currently acquired time response information fed back by each user terminal device of the plurality of user terminal devices to the second acquisition time interval information represents that the user characteristic acquisition is agreed to be performed in a time period corresponding to the second acquisition time interval information;

then, if at least one piece of currently acquired time response information is different in representation and is intended to perform user feature acquisition in a time period corresponding to the second acquisition time interval information, updating the second acquisition time interval information to obtain current second acquisition time interval information, and confirming the current second acquisition time interval information (as in the related step) until each piece of currently acquired time response information fed back by each piece of user terminal equipment to the current second acquisition time interval information represents that user feature acquisition is approved in the time period corresponding to the current second acquisition time interval information;

Then, if each piece of currently acquired time response information represents that the user characteristic acquisition is agreed to be carried out in a time period corresponding to the current second acquisition time interval information, and corresponding user characteristic acquisition notification information is generated based on the current second acquisition time interval information;

and finally, the user characteristic acquisition notification information is respectively sent to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the current second acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information, so that corresponding user behavior characteristic information is obtained.

Specifically, in one possible implementation, step S120 may include the following steps:

firstly, aiming at each of the plurality of intelligent community users, determining the user identity of the intelligent community user to obtain user identity information corresponding to the intelligent community user;

secondly, for every two smart community users in the plurality of smart community users, based on a pre-constructed user correlation relationship database and user identity information corresponding to the two smart community users, identity relationship information (such as relationship between relatives and friends, neighbor relationship and the like, which can be defined in advance) between the two smart community users is determined, and based on a one-to-one correspondence between the identity relationship information and a pre-configured identity relationship-correlation degree characterization value, identity correlation between the two smart community users is determined, so that first user relationship information between the two smart community users is obtained.

Specifically, in one possible implementation, step S130 may include the following steps:

firstly, aiming at every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information;

secondly, updating first user relationship information between every two of the plurality of smart community users based on behavior feature similarity between every two of the plurality of pieces of user behavior feature information to obtain second user relationship information between every two of the plurality of smart community users.

Specifically, in one possible implementation, step S110 may include the following steps:

firstly, respectively forming a corresponding first operation time characteristic ordered set and a corresponding second operation time characteristic ordered set based on each piece of user behavior characteristic information in the two pieces of user behavior characteristic information, wherein the first operation time characteristic ordered set comprises operation duration of each user operation behavior in the corresponding user behavior characteristic information and is arranged in sequence, the second operation time characteristic ordered set comprises operation duration of each user operation behavior in the corresponding user behavior characteristic information and is arranged in sequence, the user operation behaviors belong to operations of corresponding smart community users on corresponding user terminal equipment, and the operation time intervals corresponding to the two pieces of user behavior characteristic information are the same (as the above, user characteristic collection is performed in the same time interval);

A second step of sequentially determining, based on each of a plurality of predetermined different first values (e.g., 2, 3, 4, 5, etc.), performing sliding window segmentation processing on the first operation time characteristic ordered set to obtain a plurality of corresponding first operation time characteristic ordered subsets, and sequentially based on each first numerical value, performing sliding window segmentation processing on the second operation time characteristic ordered set to obtain a plurality of corresponding second operation time characteristic ordered subsets, determining whether each first operation time characteristic ordered subset and each second operation time characteristic ordered subset are the same, and respectively determining the first operation time characteristic ordered subset and the second operation time characteristic ordered subset which comprise the most set elements and are the same as each other as a target first operation time characteristic ordered subset and a target second operation time characteristic ordered subset;

thirdly, calculating a difference value between the operation duration and a preset operation duration standard value (such as a duration value of an operation behavior) aiming at each operation duration in the target first operation time characteristic ordered subset to obtain a first duration difference value corresponding to the operation duration, and calculating a sum value of the first duration difference values corresponding to each operation duration in the target first operation time characteristic ordered subset to obtain a time characteristic change value of the target first operation time characteristic ordered subset;

Fourthly, calculating a difference value between the operation time length and a preset operation time length standard value aiming at each operation time length in the target second operation time characteristic ordered subset to obtain a second time length difference value corresponding to the operation time length, and calculating a sum value of the second time length difference values corresponding to each operation time length in the target second operation time characteristic ordered subset to obtain a time characteristic change value of the target second operation time characteristic ordered subset;

fifthly, calculating the ratio of the time characteristic change value of the target first operation time characteristic ordered subset to the time characteristic change value of the target second operation time characteristic ordered subset to obtain a corresponding time characteristic change correlation coefficient;

sixthly, respectively forming a corresponding first operation behavior feature ordered set and a second operation behavior feature ordered set based on each piece of user behavior feature information in the two pieces of user behavior feature information, and calculating a ratio of set elements included between the first operation behavior feature ordered set and the second operation behavior feature ordered set to obtain a corresponding operation behavior quantity correlation coefficient, wherein the first operation behavior feature ordered set includes each user operation behavior in the corresponding user behavior feature information and is arranged in sequence, and the second operation behavior feature ordered set includes each user operation behavior in the corresponding user behavior feature information and is arranged in sequence;

Seventhly, sequentially carrying out sliding window segmentation on the first operation behavior feature ordered sets according to each first numerical value to obtain a plurality of corresponding first operation behavior feature ordered subsets, sequentially carrying out sliding window segmentation on the second operation behavior feature ordered sets according to each first numerical value to obtain a plurality of corresponding second operation behavior feature ordered subsets, determining whether each first operation behavior feature ordered subset and each second operation behavior feature ordered subset are the same, and respectively determining each first operation behavior feature ordered subset and each second operation behavior feature ordered subset which comprise mutually same set elements as a target first operation behavior feature ordered subset and a target operation behavior feature ordered subset;

and finally, counting the set quantity of the target first operation behavior characteristic ordered subset and the target operation behavior characteristic ordered subset to obtain a corresponding first set quantity, counting the set quantity of the first operation behavior characteristic ordered subset and the second operation behavior characteristic ordered subset to obtain a second set quantity for pairing, calculating a ratio between the first set quantity and the second set quantity, and fusing (for example, multiplying the ratio, the time characteristic change correlation coefficient and the operation behavior quantity correlation coefficient) based on the ratio, the time characteristic change correlation coefficient and the operation behavior quantity correlation coefficient to obtain behavior characteristic similarity between the two pieces of user behavior characteristic information.

Specifically, in a possible implementation manner, the step of updating first user relationship information between every two smart community users in the plurality of smart community users based on the behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information to obtain second user relationship information between every two smart community users in the plurality of smart community users may include the following steps:

firstly, performing mean value calculation based on the behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information to obtain corresponding similarity calculation mean values, and determining the magnitude between the behavior feature similarity between the two pieces of user behavior feature information and the similarity calculation mean value (for example, whether the behavior feature similarity is smaller than the similarity calculation mean value) for every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information;

secondly, performing mean value calculation based on the identity relevancy represented by the first user relationship information between every two of the plurality of intelligent community users to obtain a corresponding relevancy calculation mean value, and determining the relative size relationship between the identity relevancy represented by the first user relationship information between the two intelligent community users and the relevancy calculation mean value aiming at every two of the plurality of intelligent community users;

Then, for every two smart community users in the plurality of smart community users, if the identity correlation represented by the first user relationship information between the two smart community users is smaller than the correlation calculation mean value and the behavior feature similarity between two pieces of user behavior feature information corresponding to the two smart community users is smaller than the similarity calculation mean value, determining a larger value between the identity correlation and the behavior feature similarity as second user relationship information between the two smart community users (for example, if the identity correlation is larger than the behavior feature similarity, the identity correlation is the second user relationship information, and if the identity correlation is smaller than the behavior feature similarity, the behavior feature similarity is the second user relationship information);

finally, aiming at every two smart community users in the plurality of smart community users, if the identity correlation represented by the first user relationship information between the two smart community users is larger than or equal to the correlation calculation mean value, or the behavior feature similarity between the two pieces of user behavior feature information corresponding to the two smart community users is larger than or equal to the similarity calculation mean value, performing weighted summation calculation on the identity correlation and the behavior feature similarity, and taking the obtained weighted summation value as the second user relationship information between the two smart community users, wherein the weighting coefficient corresponding to the identity correlation is larger than the weighting coefficient corresponding to the behavior feature similarity.

With reference to fig. 3, an embodiment of the present invention further provides an intelligent community management system, which can be applied to the intelligent community management server. Wherein, the intelligent community management system can include the following modules:

the characteristic information acquisition module is used for acquiring user behavior characteristic information acquired by each user terminal device in the user terminal devices to acquire a plurality of pieces of user behavior characteristic information corresponding to the smart community users, wherein each piece of user behavior characteristic information in the user behavior characteristic information is acquired by acquiring user characteristics of the corresponding smart community user on the basis of the corresponding user terminal device;

the relationship information acquisition module is used for acquiring first user relationship information between every two smart community users in the plurality of smart community users, wherein the first user relationship information between every two smart community users in the plurality of smart community users is obtained based on the correlation relationship between the user identity information of the smart community users;

and the relationship information updating module is used for updating first user relationship information between every two smart community users in the smart community users based on the plurality of user behavior characteristic information to obtain second user relationship information between every two smart community users in the smart community users, wherein the second user relationship information is used for representing user correlation between the two corresponding smart community users.

Specifically, in a possible implementation manner, the feature information obtaining module is specifically configured to: generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information; and respectively acquiring user behavior characteristic information acquired and sent by each user terminal device in the plurality of user terminal devices based on the user characteristic acquisition notification information to obtain a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users.

Specifically, in a possible implementation manner, the relationship information updating module is specifically configured to: for every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information; and updating first user relationship information between every two of the plurality of smart community users based on behavior feature similarity between every two of the plurality of pieces of user behavior feature information to obtain second user relationship information between every two of the plurality of smart community users.

In summary, the system and method for managing smart communities provided by the present invention can first obtain the user behavior feature information collected by each user terminal of the plurality of user terminals, obtain the plurality of user behavior feature information corresponding to the plurality of smart community users, then obtain the first user relationship information between every two smart community users of the plurality of smart community users, and finally update the first user relationship information between every two smart community users of the plurality of smart community users based on the plurality of user behavior feature information, so as to obtain the second user relationship information between every two smart community users of the plurality of smart community users, that is, based on the correlation between the user identity information, the user relationship is updated by combining the user behavior feature information, so as to ensure the reliability of the update, thereby improve the not good problem of effect of wisdom community management among the prior art.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The intelligent community management method is characterized by being applied to an intelligent community management server which is in communication connection with a plurality of user terminal devices, the user terminal devices correspond to a plurality of intelligent community users one by one, and the intelligent community management method comprises the following steps:

acquiring user behavior characteristic information acquired by each user terminal device in the plurality of user terminal devices to acquire a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users, wherein each piece of user behavior characteristic information in the plurality of pieces of user behavior characteristic information is acquired by acquiring user characteristics of the corresponding smart community user based on the corresponding user terminal device;

acquiring first user relationship information between every two smart community users in the plurality of smart community users, wherein the first user relationship information between every two smart community users in the plurality of smart community users is obtained based on a correlation relationship between user identity information of the smart community users;

based on many user behavior characteristic information, it is right first user relation information between per two wisdom community users among a plurality of wisdom community users updates, obtains second user relation information between per two wisdom community users among a plurality of wisdom community users, wherein, second user relation information is used for the user correlation degree between the two wisdom community users that the sign corresponds.

2. The method of claim 1, wherein the step of obtaining the user behavior feature information collected by each of the plurality of user terminals to obtain a plurality of pieces of user behavior feature information corresponding to the plurality of smart community users comprises:

generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information;

and respectively acquiring user behavior characteristic information acquired and sent by each user terminal device in the plurality of user terminal devices based on the user characteristic acquisition notification information, and acquiring a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users.

3. The intelligent community management method according to claim 2, wherein the step of generating the user characteristic collection notification information and transmitting the user characteristic collection notification information to each of the plurality of user terminal devices comprises:

Determining first acquisition time interval information, wherein the time length corresponding to the first acquisition time interval information is greater than a preset time length threshold;

the first acquisition time interval information is respectively sent to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for displaying the first acquisition time interval information to a corresponding smart community user after receiving the first acquisition time interval information, and responding to response operation performed by the corresponding smart community user based on the first acquisition time interval information to generate corresponding time response information;

respectively acquiring the time response information sent by each user terminal device in the plurality of user terminal devices to obtain a plurality of pieces of time response information corresponding to the plurality of user terminal devices, and determining whether each piece of time response information in the plurality of pieces of time response information represents that user feature acquisition is allowed to be carried out in a time period corresponding to the first acquisition time interval information;

if each piece of time response information in the plurality of pieces of time response information represents that user feature acquisition is allowed to be performed in a time period corresponding to the first acquisition time interval information, generating corresponding user feature acquisition notification information based on the first acquisition time interval information;

And respectively sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the first acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information.

4. The intelligent community management method according to claim 3, wherein the step of generating user characteristic collection notification information and transmitting the user characteristic collection notification information to each of the plurality of user terminal devices, further comprises:

if at least one piece of time response information in the plurality of pieces of time response information represents that the time period is different and aims at carrying out user characteristic acquisition in the time period corresponding to the first acquisition time interval information, determining user terminal equipment corresponding to the at least one piece of time response information as user terminal equipment to be confirmed, and acquiring target time interval information which allows a smart community user corresponding to the user terminal equipment to be confirmed to carry out user characteristic acquisition aiming at each user terminal equipment to be confirmed;

Updating the first acquisition time interval information based on the target time interval information corresponding to each user terminal device to be confirmed to obtain corresponding second acquisition time interval information, and determining whether each piece of currently acquired time response information fed back to the second acquisition time interval information by each user terminal device in the plurality of user terminal devices represents and agrees to perform user feature acquisition in a time period corresponding to the second acquisition time interval information;

if at least one piece of currently acquired time response information represents that the time response information is different and aims at user characteristic acquisition in a time period corresponding to the second acquisition time interval information, updating the second acquisition time interval information to obtain current second acquisition time interval information, and confirming the current second acquisition time interval information until each piece of currently acquired time response information fed back by each piece of user terminal equipment to the current second acquisition time interval information represents that user characteristic acquisition is allowed to be carried out in the time period corresponding to the current second acquisition time interval information;

If each piece of currently acquired time response information represents that user feature acquisition is agreed to be performed in a time period corresponding to the current second acquisition time interval information, generating corresponding user feature acquisition notification information based on the current second acquisition time interval information;

and respectively sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device is used for carrying out user characteristic acquisition on corresponding smart community users based on the current second acquisition time interval information carried in the user characteristic acquisition notification information after receiving the user characteristic acquisition notification information, so as to obtain corresponding user behavior characteristic information.

5. The method of claim 1, wherein the step of obtaining first user relationship information between every two of the plurality of smart community users comprises:

determining the user identity of each of the plurality of intelligent community users to obtain user identity information corresponding to the intelligent community user;

And determining identity relation information between the two smart community users based on a pre-constructed user correlation relation database and user identity information corresponding to the two smart community users, and determining identity correlation between the two smart community users based on the identity relation information and a one-to-one correspondence between pre-configured identity relation-correlation characterization values to obtain first user relation information between the two smart community users.

6. The intelligent community management method according to any one of claims 1 to 5, wherein the step of updating first user relationship information between every two intelligent community users in the plurality of intelligent community users based on the plurality of pieces of user behavior feature information to obtain second user relationship information between every two intelligent community users in the plurality of intelligent community users comprises:

for every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information;

Based on behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, updating first user relationship information between every two pieces of smart community users in the plurality of smart community users to obtain second user relationship information between every two pieces of smart community users in the plurality of smart community users.

7. The method for managing smart communities according to claim 6, wherein the step of updating first user relationship information between every two smart community users in the plurality of smart community users based on behavior feature similarity between every two smart community users in the plurality of user behavior feature information to obtain second user relationship information between every two smart community users in the plurality of smart community users comprises:

calculating the mean value based on the behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information to obtain a corresponding similarity calculation mean value, and determining the magnitude between the behavior feature similarity between the two pieces of user behavior feature information and the similarity calculation mean value aiming at every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information;

Performing mean value calculation based on the identity relevancy represented by the first user relationship information between every two of the plurality of smart community users to obtain corresponding relevancy calculation mean values, and determining the relative size relationship between the identity relevancy represented by the first user relationship information between the two smart community users and the relevancy calculation mean values for every two of the plurality of smart community users;

for every two smart community users in the plurality of smart community users, if the identity correlation represented by the first user relationship information between the two smart community users is smaller than the correlation calculation mean value and the behavior feature similarity between the two pieces of user behavior feature information corresponding to the two smart community users is smaller than the similarity calculation mean value, determining the larger value between the identity correlation and the behavior feature similarity as the second user relationship information between the two smart community users;

for every two smart community users in the plurality of smart community users, if the identity correlation represented by first user relationship information between the two smart community users is larger than or equal to the correlation calculation mean value, or the behavior feature similarity between two pieces of user behavior feature information corresponding to the two smart community users is larger than or equal to the similarity calculation mean value, performing weighted summation calculation on the identity correlation and the behavior feature similarity, and taking an obtained weighted summation value as second user relationship information between the two smart community users, wherein a weighting coefficient corresponding to the identity correlation is larger than a weighting coefficient corresponding to the behavior feature similarity.

8. The utility model provides a management system of wisdom community which characterized in that is applied to management server of wisdom community, management server communication connection of wisdom community has a plurality of user terminal equipment, a plurality of user terminal equipment and a plurality of wisdom community user one-to-one, management system of wisdom community includes:

the characteristic information acquisition module is used for acquiring user behavior characteristic information acquired by each user terminal device in the user terminal devices to acquire a plurality of pieces of user behavior characteristic information corresponding to the smart community users, wherein each piece of user behavior characteristic information in the user behavior characteristic information is acquired by acquiring user characteristics of the corresponding smart community user based on the corresponding user terminal device;

the relationship information acquisition module is used for acquiring first user relationship information between every two intelligent community users in the plurality of intelligent community users, wherein the first user relationship information between every two intelligent community users in the plurality of intelligent community users is obtained based on the correlation relationship between the user identity information of the intelligent community users;

and the relationship information updating module is used for updating first user relationship information between every two smart community users in the smart community users based on the plurality of user behavior characteristic information to obtain second user relationship information between every two smart community users in the smart community users, wherein the second user relationship information is used for representing the user correlation degree between the two corresponding smart community users.

9. The intelligent community management system of claim 8, wherein the characteristic information acquisition module is specifically configured to:

generating user characteristic acquisition notification information, and sending the user characteristic acquisition notification information to each user terminal device in the plurality of user terminal devices, wherein each user terminal device performs user characteristic acquisition on a corresponding smart community user after receiving the user characteristic acquisition notification information to obtain corresponding user behavior characteristic information;

and respectively acquiring user behavior characteristic information acquired and sent by each user terminal device in the plurality of user terminal devices based on the user characteristic acquisition notification information, and acquiring a plurality of pieces of user behavior characteristic information corresponding to the plurality of smart community users.

10. The intelligent community management system of claim 8, wherein the relationship information update module is specifically configured to:

for every two pieces of user behavior feature information in the multiple pieces of user behavior feature information, performing behavior feature similarity calculation on the two pieces of user behavior feature information to obtain behavior feature similarity between the two pieces of user behavior feature information;

Based on behavior feature similarity between every two pieces of user behavior feature information in the plurality of pieces of user behavior feature information, updating first user relationship information between every two pieces of smart community users in the plurality of smart community users to obtain second user relationship information between every two pieces of smart community users in the plurality of smart community users.

Images