Science popularization information pushing method and device

Abstract

The invention provides a popular science information pushing method and device. The popular science information pushing method comprises the steps of obtaining first residential group information of a first community; obtaining second residential group information of a second community; obtaining a first similarity according to the first residential group information and the second residential group information; obtaining a first preset similarity threshold value; judging whether the first similarity exceeds a first preset similarity threshold value or not; if so, obtaining first to-be-pushed science popularization information of the first community and second to-be-pushed science popularization information of the second community; judging whether third to-be-pushed science popularization information exists or not; if the third to-be-pushed science popularization information exists, obtaining fourth to-be-pushed science popularization information and fifth to-be-pushed science popularization information; obtaining a first push instruction; and according to the first pushing instruction, pushing the fourth to-be-pushed science popularization information to the second residential group, and pushing the fifth to-be-pushed science popularization information to the first residential group, thereby achieving the technical effect of precisely pushing the science popularization content.

Description

Technical Field

[0001] The present invention relates to the technical field of information push, and in particular to a method and device for pushing popular science information. Background Art

[0002] Popular science is the abbreviation of popular science, also known as popular science or popular science. It refers to the use of various media to make the public accept natural science and social science knowledge in a simple and easy-to-understand way, promote the application of science and technology, advocate scientific methods, spread scientific ideas, and promote the scientific spirit. Popular science is a kind of social education.

[0003] However, the applicant of the present invention has found that the prior art has at least the following technical problems:

[0004] In the prior art, it is difficult to provide targeted and personalized push services for community science popularization work, resulting in low public participation and difficulty in achieving good science popularization effects. Summary of the invention

[0005] The embodiments of the present invention provide a method and device for pushing popular science information, which solves the technical problem in the prior art that it is difficult to match popular science information to the public in a targeted manner and provide personalized push services for popular science work in the community, resulting in low public participation and difficulty in obtaining good popular science publicity effects. The invention achieves the technical effect of providing personalized popular science information services, realizing accurate push of popular science content, and improving the efficiency and popularity of popular science work.

[0006] In view of the above problems, the embodiments of the present application are proposed to provide a method and device for pushing popular science information.

[0007] In a first aspect, the present invention provides a method for pushing popular science information, the method comprising: obtaining information about a first residential group in a first community; obtaining information about a second residential group in a second community; obtaining a first similarity based on the information about the first residential group and the second residential group; obtaining a first predetermined similarity threshold; determining whether the first similarity exceeds the first predetermined similarity threshold; if the similarity exceeds the first predetermined similarity threshold, obtaining first popular science information to be pushed in the first community and second popular science information to be pushed in the second community; determining whether there is a third popular science information to be pushed between the first popular science information to be pushed and the second popular science information to be pushed, wherein the third popular science information to be pushed The popular science information to be pushed is the overlapping popular science information between the first popular science information to be pushed and the second popular science information to be pushed; if the third popular science information to be pushed exists, the fourth popular science information to be pushed and the fifth popular science information to be pushed are obtained, wherein the fourth popular science information to be pushed is the popular science information in the first popular science information to be pushed excluding the third popular science information to be pushed, and the fifth popular science information to be pushed is the popular science information in the second popular science information to be pushed excluding the third popular science information to be pushed; a first push instruction is obtained; according to the first push instruction, the fourth popular science information to be pushed is pushed to the second residential group, and the fifth popular science information to be pushed is pushed to the first residential group.

[0008] In a second aspect, the present invention provides a device for pushing popular science information, the device comprising:

[0009] a first obtaining unit, the first obtaining unit being configured to obtain first resident group information of the first community according to a first camera of the first community;

[0010] a second obtaining unit, the second obtaining unit being configured to obtain second resident group information of the second community according to a second camera of the second community;

[0011] a third obtaining unit, the third obtaining unit being used to obtain a first similarity according to the first residential group information and the second residential group information;

[0012] a fourth obtaining unit, wherein the fourth obtaining unit is used to obtain a first predetermined similarity threshold;

[0013] a first judging unit, configured to judge whether the first similarity exceeds a first predetermined similarity threshold;

[0014] a fifth obtaining unit, configured to obtain the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community if the first predetermined similarity threshold is exceeded;

[0015] a second judgment unit, the second judgment unit being used to judge whether there is a third science popularization information to be pushed between the first science popularization information to be pushed and the second science popularization information to be pushed, wherein the third science popularization information to be pushed is the overlapping science popularization information between the first science popularization information to be pushed and the second science popularization information to be pushed;

[0016] a sixth obtaining unit, the sixth obtaining unit being configured to obtain fourth and fifth popular science information to be pushed if the third popular science information to be pushed exists, wherein the fourth popular science information to be pushed is the popular science information in the first popular science information to be pushed except the third popular science information to be pushed, and the fifth popular science information to be pushed is the popular science information in the second popular science information to be pushed except the third popular science information to be pushed;

[0017] a seventh obtaining unit, the seventh obtaining unit being used to obtain a first push instruction;

[0018] A first pushing unit, wherein the first pushing unit is used to push the fourth popular science information to be pushed to the second residential group and push the fifth popular science information to be pushed to the first residential group according to the first pushing instruction.

[0019] In a third aspect, the present invention provides a device for pushing popular science information, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.

[0020] The above one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:

[0021] The embodiment of the present invention provides a method and device for pushing popular science information, which comprises the following steps: obtaining first resident group information of a first community according to a first camera of the first community; obtaining second resident group information of the second community according to a second camera of the second community; obtaining a first similarity according to the first resident group information and the second resident group information; obtaining a first predetermined similarity threshold; judging whether the first similarity exceeds the first predetermined similarity threshold; if the first predetermined similarity threshold is exceeded, obtaining first popular science information to be pushed in the first community and second popular science information to be pushed in the second community; judging whether there is a third popular science information to be pushed between the first popular science information to be pushed and the second popular science information to be pushed, wherein the third popular science information to be pushed is overlapping popular science information between the first popular science information to be pushed and the second popular science information to be pushed; if there is a third popular science information to be pushed information, then the fourth science popularization information to be pushed and the fifth science popularization information to be pushed are obtained, wherein the fourth science popularization information to be pushed is the science popularization information in the first science popularization information to be pushed excluding the third science popularization information to be pushed, and the fifth science popularization information to be pushed is the science popularization information in the second science popularization information to be pushed excluding the third science popularization information to be pushed; a first push instruction is obtained; according to the first push instruction, the fourth science popularization information to be pushed is pushed to the second residential group, and the fifth science popularization information to be pushed is pushed to the first residential group, thereby solving the technical problem in the prior art that it is difficult to match science popularization information for the public in a targeted manner and provide personalized push services for the community's science popularization work, resulting in low public participation and difficulty in obtaining good science popularization publicity effects, and achieving the technical effect of providing personalized science popularization information services, realizing accurate push of science popularization content, and improving the efficiency and popularity of science popularization work.

[0022] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of a process for pushing popular science information in an embodiment of the present invention;

[0024] Figure 2 This is a schematic diagram of the structure of a popular science information push device in an embodiment of the present invention;

[0025] Figure 3 FIG. 4 is a schematic diagram of the structure of another exemplary electronic device in an embodiment of the present invention.

[0026] Explanation of the accompanying drawings: first obtaining unit 11, second obtaining unit 12, third obtaining unit 13, fourth obtaining unit 14, first judging unit 15, fifth obtaining unit 16, second judging unit 17, sixth obtaining unit 18, seventh obtaining unit 19, first pushing unit 20, receiver 301, processor 302, transmitter 303, memory 304, bus interface 306. DETAILED DESCRIPTION

[0027] The embodiments of the present invention provide a method and device for pushing science popularization information, which is used to solve the technical problem that it is difficult to match science popularization information to the public in a targeted manner and provide personalized push services for the popular science work in the community in the prior art, resulting in low public participation and difficulty in obtaining good science popularization publicity effects. The invention achieves the technical effect of providing personalized science popularization information services, realizing accurate push of science popularization content, and improving the efficiency and popularity of science popularization work. Below, an example embodiment of the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.

[0028] Application Overview

[0029] Popular science is the abbreviation of popular science, also known as popular science or popular science. It refers to the use of various media to make the public accept natural science and social science knowledge in a simple and easy-to-understand way, promote the application of science and technology, advocate scientific methods, spread scientific ideas, and promote the scientific spirit. Popular science is a kind of social education.

[0030] In view of the above technical problems, the overall idea of ​​the technical solution provided by the present invention is as follows:

[0031] The embodiment of the present application provides a method for pushing popular science information, the method comprising: obtaining first residential group information of the first community according to a first camera of the first community; obtaining second residential group information of the second community according to a second camera of the second community; obtaining a first similarity according to the first residential group information and the second residential group information; obtaining a first predetermined similarity threshold; judging whether the first similarity exceeds the first predetermined similarity threshold; if it exceeds the first predetermined similarity threshold, obtaining first popular science information to be pushed in the first community and second popular science information to be pushed in the second community; judging whether there is a third popular science information to be pushed between the first popular science information to be pushed and the second popular science information to be pushed information, wherein the third popular science information to be pushed is the overlapping popular science information between the first popular science information to be pushed and the second popular science information to be pushed; if the third popular science information to be pushed exists, the fourth popular science information to be pushed and the fifth popular science information to be pushed are obtained, wherein the fourth popular science information to be pushed is the popular science information in the first popular science information to be pushed excluding the third popular science information to be pushed, and the fifth popular science information to be pushed is the popular science information in the second popular science information to be pushed excluding the third popular science information to be pushed; obtain a first push instruction; according to the first push instruction, push the fourth popular science information to be pushed to the second residential group, and push the fifth popular science information to be pushed to the first residential group.

[0032] After introducing the basic principles of the present application, the technical solution of the present application is described in detail through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0033] Embodiment 1

[0034] Figure 1 FIG. 1 is a flow chart of a method for pushing popular science information in an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for pushing science popularization information, which is applied to a science popularization information pushing system. The system is provided with a camera in the community under its jurisdiction and is connected to the server of the system in communication. The method includes:

[0035] Step 100: obtaining information about a first resident group in a first community according to a first camera in the first community;

[0036] Specifically, the popular science information push system is a system for controlling and managing popular science information in this embodiment, and the popular science information push system has a monitoring device, that is, a camera is set in the community under its jurisdiction, and then the camera is connected to the server of the system through communication, and the information collected by the camera can be analyzed and processed by the server. Further, the community is a large collective that is interconnected in life formed by a number of social groups or social organizations gathered in a certain field. It is the most basic content of the social organism and a microcosm of the macro society. Therefore, the community is a community and its activity area formed by people who are interconnected in a certain field with a certain interactive relationship and common cultural maintenance. It is generally believed that a community should include a certain number of people, a certain range of regions, a certain scale of facilities, a certain characteristic culture, and a certain type of organization. The community is such a "social life community composed of people living in a certain geographical range". Therefore, the first community is a community located in a certain area and composed of certain residents. The first residential group information is the video information collected by the first camera to the first community, and then the first residential group information can be obtained, that is, a social group living in the first community with common consciousness and common interests.

[0037] Step 200: obtaining information about a second resident group in the second community according to a second camera of the second community;

[0038] Specifically, as described in the previous step 100, the second community is different from the first community, and the second community is also a community located in a certain area and composed of certain residents. The second residential group information is the video information of the second community collected by the second camera, and the second residential group information can be obtained, that is, a social group living in the second community with common consciousness and common interests.

[0039] Step 300: Obtaining a first similarity according to the first residential group information and the second residential group information;

[0040] Furthermore, in order to accurately obtain similarity information and improve the accuracy of popular science information push, step 300 of the embodiment of the present application further includes:

[0041] Step 310: Obtain first geographic location information of the first community;

[0042] Step 320: Obtain first attribute information according to the first geographical location information;

[0043] Step 330: Obtain second geographic location information of the second community;

[0044] Step 340: Obtain second attribute information according to the second geographical location information;

[0045] Step 350: Obtain a second similarity between the first attribute information and the second attribute information;

[0046] Step 360: Obtain a second predetermined similarity threshold;

[0047] Step 370: Determine whether the second similarity exceeds the second predetermined similarity threshold;

[0048] Step 380: If the second predetermined similarity threshold is exceeded, a first similarity is obtained according to the first residential group information and the second residential group information.

[0049] Specifically, the first geographic location information is the location information of the first community, for example, the first community belongs to a city in a province, or a jurisdiction, etc., and then based on the first geographic location information, the first attribute information of the first community can be obtained based on big data analysis, wherein the first attribute information is the first label information of the first community, therefore, the first attribute information includes but is not limited to the climate information, temperature and humidity information, air index information, natural disaster information, public eating habits, customs and other information of the first community; further, the second geographic location information of the second community can be obtained, wherein the second geographic location information is the location information of the second community, for example, the second community belongs to a city in a province, or a jurisdiction, etc., and then based on the second geographic location information, the second attribute information of the second community can be obtained based on big data analysis, wherein the second attribute information is the second label information of the second community. Therefore, the second attribute information includes but is not limited to the climate information, temperature and humidity information, air index information, natural disaster information, public eating habits, customs and habits of the second community; then, the first attribute information and the second attribute information can be used to obtain the second similarity between the two, and then after obtaining the second predetermined similarity threshold, the second similarity is compared with the second predetermined similarity threshold to determine whether the second similarity exceeds the second predetermined similarity threshold. If it exceeds the second predetermined similarity threshold, the subsequent first similarity can be obtained. For example, the first community and the second community both belong to Chengdu, but belong to two adjacent jurisdictions, and the first community is a retired cadre community, and the second community is also a retired cadre community. Therefore, based on big data, it can be obtained that the frequency of earthquakes sent by Chengdu is high, and the weather in Chengdu is relatively humid, so it can be determined that the similarity between the first community and the second community meets the threshold requirement. Thereby providing reliable support for accurately obtaining the first similarity and improving the accuracy of popular science information push.

[0050] Furthermore, in order to accurately obtain similarity information and improve the accuracy of popular science information push, step 300 of the embodiment of the present application further includes:

[0051] Step 390: Obtain first population distribution characteristic information of the first residential group;

[0052] Step 3100: Obtain second population distribution characteristic information of the second residential group;

[0053] Step 3110: obtaining first age group information according to the first population distribution characteristic information, wherein the first age group information is age range information where residents are concentrated;

[0054] Step 3120: obtaining second age group information according to the second population distribution characteristic information, wherein the second age group information is age range information where residents are concentrated;

[0055] Step 3130: Obtain a first similarity based on the first age group information and the second age group information.

[0056] Specifically, first population distribution characteristic information of the first residential group is obtained, wherein the first population distribution characteristic information is the distribution characteristics of residents in the first community, including but not limited to the age, gender, occupation, family, behavior, income, etc. of the residents. Similarly, second population distribution characteristic information of the second residential group can be obtained, wherein the second population distribution characteristic information is the distribution characteristics of residents in the second community, including but not limited to the age, gender, occupation, family, behavior, income, etc. of the residents. Then, based on the first population distribution characteristic information, the first age group information is obtained. At this time, the first age group information is the group information composed of the age range with the largest proportion in the first community. For example, the first age group is the resident group aged 20 to 30, that is, in the first community, the number of residents aged 20 to 30 is the largest. Similarly, based on the second population distribution characteristic information, the second age group information can be obtained. The second age group information is the group information composed of the age range with the largest proportion in the second community. Then, the first age group information and the second age group information are compared to obtain a first similarity.

[0057] Step 400: Obtain a first predetermined similarity threshold;

[0058] Step 500: Determine whether the first similarity exceeds the first predetermined similarity threshold;

[0059] Specifically, after obtaining the first similarity, the first predetermined similarity threshold can be obtained. The first predetermined similarity threshold is a pre-set threshold range of similarity. After comparing the first predetermined similarity threshold with the first similarity, it can be determined whether the first similarity exceeds the first predetermined similarity threshold. If it exceeds the first similarity threshold, it means that there is a certain correlation between the first community and the second community, and then subsequent work can be carried out according to the predetermined strategy.

[0060] Step 600: if the first predetermined similarity threshold is exceeded, obtaining the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community;

[0061] Specifically, when the first similarity exceeds the first predetermined similarity threshold, it is necessary to obtain the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community, wherein the first popular science information to be pushed is a list of popular science information to be pushed in the first community, and the second popular science information to be pushed is a list of popular science information to be pushed in the second community.

[0062] Step 700: Determine whether there is a third science popularization information to be pushed between the first science popularization information to be pushed and the second science popularization information to be pushed, wherein the third science popularization information to be pushed is the overlapping science popularization information between the first science popularization information to be pushed and the second science popularization information to be pushed;

[0063] Specifically, after obtaining the first popular science information to be pushed and the second popular science information to be pushed, the first popular science information to be pushed and the second popular science information to be pushed are compared to determine whether there is a third popular science information to be pushed between the two, that is, to determine whether there is a certain amount of overlapping popular science information between the first popular science information to be pushed and the second popular science information to be pushed.

[0064] Step 800: if the third science popularization information to be pushed exists, obtain the fourth science popularization information to be pushed and the fifth science popularization information to be pushed, wherein the fourth science popularization information to be pushed is the science popularization information in the first science popularization information to be pushed except the third science popularization information to be pushed, and the fifth science popularization information to be pushed is the science popularization information in the second science popularization information to be pushed except the third science popularization information to be pushed;

[0065] Specifically, if there is relevant duplicate information, that is, there is a third popular science information to be pushed, then the fourth popular science information to be pushed and the fifth popular science information to be pushed will be obtained respectively, among which the fourth popular science information to be pushed is the popular science information in the first popular science information to be pushed except the third popular science information to be pushed, and the fifth popular science information to be pushed is the popular science information in the second popular science information to be pushed except the third popular science information to be pushed.

[0066] Step 900: Obtain a first push instruction;

[0067] Step 1000: according to the first push instruction, the fourth popular science information to be pushed is pushed to the second residential group, and the fifth popular science information to be pushed is pushed to the first residential group.

[0068] Specifically, after obtaining the fourth popular science information to be pushed and the fifth popular science information to be pushed, a first push instruction can be generated, and then under the instruction of the first push instruction, the fourth popular science information to be pushed is pushed to the second resident group in the second community, and the fifth popular science information to be pushed is pushed to the first resident group in the first community, thereby achieving the technical effect of providing personalized popular science information services, realizing accurate push of popular science content, and improving the efficiency and popularity of popular science work.

[0069] Furthermore, in order to achieve accurate push of popular science content and improve the efficiency and popularity of popular science work, step 1000 of the embodiment of the present application also includes:

[0070] Step 1100: inputting the first age group information, the second age group information, the fourth popular science information to be pushed, and the fifth popular science information to be pushed into a first training model, wherein the first training model is obtained by training with multiple sets of training data, each of the multiple sets of data includes a first type of data group and a second type of data group, each set of data in the first type of data group includes: the first age group information, the fifth popular science information to be pushed, and information identifying the first result; each set of data in the second type of data group includes: the second age group information, the fourth popular science information to be pushed, and information identifying the second result;

[0071] Step 1200: Obtaining output information of the first training model, wherein the output information includes the first result and the second result, wherein the first result is the popular science information in the fifth popular science information to be pushed that has a first correlation with the first age group information, and the second result is the popular science information in the fourth popular science information to be pushed that has the first correlation with the second age group information;

[0072] Step 1300: Obtain a first adjustment instruction according to the first result, wherein the first adjustment instruction is used to adjust the fifth popular science information to be pushed;

[0073] Step 1400: Obtain a second adjustment instruction according to the second result, wherein the second adjustment instruction is used to adjust the fourth popular science information to be pushed.

[0074] Specifically, after obtaining the first age group information, the second age group information, the fourth popular science information to be pushed, and the fifth popular science information to be pushed, they can be input into the training model, and then the result information is output through the first training model. According to the first result and the second result, it is determined whether the fourth popular science information to be pushed and the fifth popular science information to be pushed need to be adjusted.

[0075] Further, the training model is a neural network model in a machine learning model. The machine learning model can continuously learn through a large amount of data, and then continuously correct the model, and finally obtain satisfactory experience to process other data. The machine model is obtained by training multiple sets of training data, and the process of training the neural network model through training data is essentially a supervised learning process. The training model in the embodiment of the present application is obtained by training multiple sets of training data using machine learning. Each set of training data in the multiple sets includes a first data group and a second data group. Each set of data in the first data group includes: information about the first age group, the fifth popular science information to be pushed, and information identifying the first result; each set of data in the second data group includes: information about the second age group, the fourth popular science information to be pushed, and information identifying the second result. Among them, the first result is the popular science information with a first correlation with the first age group information in the fifth popular science information to be pushed, that is, the popular science information with a certain correlation with the first age group in the fifth popular science information to be pushed, and the second result is the popular science information with a first correlation with the second age group information in the fourth popular science information to be pushed, that is, the popular science information with a certain correlation with the second age group in the fourth popular science information to be pushed.

[0076] The identification information of the first result and the second result is used as the supervision data. In the corresponding training data, the first age group information and the fifth popular science information to be pushed, the second age group information and the fourth popular science information to be pushed are supervised and learned respectively to determine that the output information of the training model reaches the convergence state. By comparing the first result information and the second result information with the output result of the training model, when they are consistent, the supervised learning of this group of data is completed, and the supervised learning of the next group of data is carried out; when they are inconsistent, the training model is self-corrected until its output result is consistent with the first result information and the second result information of the identification, the supervised learning of this group is completed, and the supervised learning of the next group of data is carried out; through the supervised learning of a large amount of data, the output result of the machine learning model reaches a convergence state, and the supervised learning is completed. Through the process of supervised learning of the training model, the first result information and the second result information output by the training model are made more accurate, and then according to the first result, the first adjustment instruction is generated accordingly, and then the popular science information that is not related to the first age group in the fifth popular science information to be pushed to the first community is removed. For example, after data analysis, it is found that the residents of the first community are mainly elderly people, so relevant health knowledge, disease prevention and control knowledge, etc. can be popularized for the elderly. Therefore, it is necessary to eliminate popular science information that is not related to health knowledge, disease prevention and control knowledge, such as shopping knowledge, fashion knowledge, new things, etc. At the same time, based on the second result, a second adjustment instruction is generated accordingly, and then the popular science information that is not related to the second age group is eliminated from the fourth popular science information to be pushed to the second community, thereby further achieving the ability to accurately determine the relevance of popular science information to the audience group, so as to facilitate the targeted push of popular science information according to the residents' hobbies and habits, thereby improving the efficiency of popular science and the conversion rate of popular science information.

[0077] Furthermore, in order to adjust the amount of popular science information pushed to achieve the technical effect of meeting the needs of residents, step 1300 of the embodiment of the present application also includes:

[0078] Step 1310: Obtain first proportion information of the first age group information according to the first population distribution characteristic information;

[0079] Step 1320: according to the first result, obtaining second proportion information of the first science popularization information to be pushed that has a first relevance to the first age group information in the fifth science popularization information to be pushed;

[0080] Step 1330: Determine whether the second proportion information exceeds the first proportion information;

[0081] Step 1340: If it exceeds the first proportion information, the second proportion information is adjusted according to the first proportion information, wherein the second proportion is adjusted by reducing the number of popular science information having a first relevance to the first age group information in the fifth popular science information to be pushed.

[0082] Specifically, based on the first population distribution characteristic information, the first proportion information of the first age group information is obtained, that is, the proportion of the first age group among the residents of the first community. Based on the first result, the second proportion information between the popular science information with a first relevance to the first age group information in the fifth popular science information to be pushed and the first popular science information to be pushed can be obtained, that is, the proportion of the information with a certain relevance to the first age group in the fifth popular science information to be pushed in the first popular science information to be pushed. Then the second proportion information is compared with the first proportion information to determine whether the second proportion information exceeds the first proportion information. If it exceeds the first proportion information, it means that the information with a certain relevance to the first age group in the fifth popular science information to be pushed exceeds a certain number range. Therefore, it is necessary to adjust the second proportion information according to the first proportion information. The specific adjustment method is to reduce the number of information with a certain relevance to the first age group in the fifth popular science information to be pushed, so that the second proportion information does not exceed the first proportion information, to ensure that the number of popular science information to be pushed in the fifth popular science information to be pushed is balanced with the first age group, and to improve the audience efficiency of popular science information. Similarly, the third proportion information of the second age group information can be obtained based on the second population distribution characteristic information; based on the second result, the fourth proportion information of the second popular science information to be pushed that has the first correlation with the second age group information is obtained; it is determined whether the fourth proportion information exceeds the third proportion information; if it exceeds the third proportion information, the fourth proportion information is adjusted according to the third proportion information, wherein the fourth proportion is adjusted by reducing the number of popular science information with the first correlation with the second age group information in the fourth popular science information to be pushed, which will not be elaborated here for the sake of brevity of the specification.

[0083] Furthermore, in order to ensure the effect of popular science information push and improve the quality of life of residents, the embodiment 3110 of the present application also includes:

[0084] Step 3111: Obtaining first resident behavior information according to the first age group information;

[0085] Step 3112: Obtaining a first idle time according to the first resident behavior information;

[0086] Step 3113: Obtaining a first densely populated area in the first community according to the first age group information;

[0087] Step 3114: Push popular science information in the first densely populated area according to the first idle time.

[0088] Specifically, based on the information of the first age group, the behavior information of the first residents in the first community can be further obtained, wherein the behavior information of the first residents is the daily behavior habits of the first age group, for example, when the first age group is the elderly, the behavior information of the first residents is the work and rest time of the elderly in the community, such as going out time, meal time, walking time, etc. According to the behavior information of the first residents, the first free time of the first age group can be obtained, that is, the average free time of the first age group every day, such as six to seven in the morning, six to seven in the afternoon, etc., and the first resident dense area in the first community can be further obtained, that is, the area with the most dense first age group. In this way, during the first free time, in the first resident dense area, popular science information can be pushed, such as placing a popular science display screen, etc., so as to achieve the technical effect of determining the push time and push location in a targeted manner, increasing the audience of popular science information, and improving the efficiency of popular science.

[0089] In order to store information based on blockchain, the embodiment 800 of the present application also includes:

[0090] Step 810: Generate a first verification code according to the fourth popular science information to be pushed, wherein the first verification code corresponds one-to-one with the fourth popular science information to be pushed;

[0091] Step 820: Generate a second verification code according to the fifth popular science information to be pushed and the first verification code; and so on, generate an Nth verification code according to the Nth popular science information to be pushed and the N-1th verification code, where N is a natural number greater than 1;

[0092] Step 830: All the popular science information and verification codes to be pushed are copied and saved on M devices respectively, where M is a natural number greater than 1.

[0093] Specifically, in order to ensure the security of the storage of the popular science information to be pushed, a first verification code is generated according to the fourth popular science information to be pushed, wherein the first verification code corresponds to the fourth popular science information to be pushed one by one; a second verification code is generated according to the fifth popular science information to be pushed and the first verification code... and so on, the fourth popular science information to be pushed and the first verification code are used as the first storage unit, and the fifth popular science information to be pushed and the second verification code are used as the second storage unit... and so on, a total of N storage units are obtained. The verification code information is used as the subject identification information, and the subject identification information is used to distinguish it from other subjects. When it is necessary to call the popular science information to be pushed, after each subsequent node receives the data stored by the previous node, it is verified and saved through the "consensus mechanism", and each storage unit is concatenated through the hash technology, so that the data information of the popular science information to be pushed is not easily lost or destroyed. Through the data information processing technology based on the blockchain, the security and accuracy of the storage of the popular science information to be pushed are improved, the accuracy of the popular science information to be pushed retrieved by the verification code is guaranteed, and the accuracy and non-tamperability of the storage of the popular science information to be pushed are guaranteed.

[0094] In order to process information based on blockchain, step 800 of the embodiment of the present application also includes:

[0095] Step 840: taking the Nth popular science information to be pushed and the N-1th verification code as the Nth block;

[0096] Step 850: Obtain the Nth block recording time, where the Nth block recording time indicates the time when the Nth block needs to be recorded;

[0097] Step 860: Obtaining a first device with the fastest transport capacity among the M devices according to the recording time of the Nth block;

[0098] Step 870: Send the recording right of the Nth block to the first device.

[0099] Specifically, the Nth popular science information to be pushed and the N-1th verification code are divided into blocks to generate multiple blocks, and the Nth device node is added to the blockchain after consensus on the blocks. The recording time of the Nth block is the time taken by the device node to verify the Nth verification code information and the Nth popular science information to be pushed through the "consensus mechanism", and store and add it to the original block after verification. The maximum capacity is expressed as a random number that meets the rules calculated by AND or calculation based on the computing power of M devices, that is, obtaining the recording authority this time, that is, the device with the largest capacity has a greater chance of obtaining the recording authority. Selecting the device with the fastest capacity as the block recording device improves the real-time interaction of data on and off the blockchain, ensures the safe, effective and stable operation of the decentralized blockchain system, and thus improves the efficiency of blockchain message processing, and achieves the technical effect of improving the accuracy and efficiency of storage and information processing of popular science information to be pushed.

[0100] Embodiment 2

[0101] Based on the same inventive concept as the method for pushing popular science information in the above-mentioned embodiment, the present invention also provides a device for pushing popular science information, such as Figure 2 As shown, the device comprises:

[0102] A first obtaining unit 11, the first obtaining unit 11 is used to obtain first resident group information of the first community according to a first camera of the first community;

[0103] A second obtaining unit 12, the second obtaining unit 12 is used to obtain second resident group information of the second community according to a second camera of the second community;

[0104] A third obtaining unit 13, the third obtaining unit 13 is used to obtain a first similarity according to the first residential group information and the second residential group information;

[0105] A fourth obtaining unit 14, wherein the fourth obtaining unit 14 is used to obtain a first predetermined similarity threshold;

[0106] A first judging unit 15, the first judging unit 15 is used to judge whether the first similarity exceeds the first predetermined similarity threshold;

[0107] a fifth obtaining unit 16, wherein the fifth obtaining unit 16 is configured to obtain the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community if the first predetermined similarity threshold is exceeded;

[0108] A second judgment unit 17, the second judgment unit 17 is used to judge whether there is a third science popularization information to be pushed between the first science popularization information to be pushed and the second science popularization information to be pushed, wherein the third science popularization information to be pushed is the overlapping science popularization information between the first science popularization information to be pushed and the second science popularization information to be pushed;

[0109] A sixth obtaining unit 18, wherein if the third science popularization information to be pushed exists, the sixth obtaining unit 18 is used to obtain fourth science popularization information to be pushed and fifth science popularization information to be pushed, wherein the fourth science popularization information to be pushed is the science popularization information in the first science popularization information to be pushed except the third science popularization information to be pushed, and the fifth science popularization information to be pushed is the science popularization information in the second science popularization information to be pushed except the third science popularization information to be pushed;

[0110] A seventh obtaining unit 19, wherein the seventh obtaining unit 19 is used to obtain a first push instruction;

[0111] The first pushing unit 20 is used for pushing the fourth popular science information to be pushed to the second residential group and pushing the fifth popular science information to be pushed to the first residential group according to the first pushing instruction.

[0112] Furthermore, the device also includes:

[0113] an eighth obtaining unit, the eighth obtaining unit being configured to obtain first geographical location information of the first community;

[0114] a ninth obtaining unit, configured to obtain first attribute information according to the first geographical location information;

[0115] a tenth obtaining unit, the tenth obtaining unit being configured to obtain second geographical location information of the second community;

[0116] an eleventh obtaining unit, the eleventh obtaining unit being configured to obtain second attribute information according to the second geographical location information;

[0117] a twelfth obtaining unit, the twelfth obtaining unit being configured to obtain a second similarity between the first attribute information and the second attribute information;

[0118] a thirteenth obtaining unit, the thirteenth obtaining unit being used to obtain a second predetermined similarity threshold;

[0119] a third judgment unit, configured to judge whether the second similarity exceeds the second predetermined similarity threshold;

[0120] A fourteenth obtaining unit is configured to obtain a first similarity according to the first residential group information and the second residential group information if the second predetermined similarity threshold is exceeded.

[0121] Furthermore, the device also includes:

[0122] a fifteenth obtaining unit, the fifteenth obtaining unit being used to obtain first population distribution characteristic information of the first residential group;

[0123] a sixteenth obtaining unit, the sixteenth obtaining unit being used to obtain second population distribution characteristic information of the second residential group;

[0124] a seventeenth obtaining unit, the seventeenth obtaining unit being used to obtain first age group information according to the first population distribution characteristic information, wherein the first age group information is age range information where residents are concentrated;

[0125] An eighteenth obtaining unit, the eighteenth obtaining unit being used to obtain second age group information according to the second population distribution characteristic information, wherein the second age group information is age range information where residents are concentrated;

[0126] A nineteenth obtaining unit is configured to obtain a first similarity according to the first age group information and the second age group information.

[0127] Furthermore, the device also includes:

[0128] a first input unit, the first input unit is used to input the first age group information, the second age group information, the fourth popular science information to be pushed, and the fifth popular science information to be pushed into a first training model, wherein the first training model is obtained by training multiple sets of training data, each set of data in the multiple sets of data includes a first type of data group and a second type of data group, each set of data in the first type of data group includes: the first age group information, the fifth popular science information to be pushed, and information identifying the first result; each set of data in the second type of data group includes: the second age group information, the fourth popular science information to be pushed, and information identifying the second result;

[0129] a first training unit, the first training unit being used to obtain output information of the first training model, wherein the output information includes the first result and the second result, wherein the first result is the popular science information having the first correlation with the first age group information in the fifth popular science information to be pushed, and the second result is the popular science information having the first correlation with the second age group information in the fourth popular science information to be pushed;

[0130] a twentieth obtaining unit, the twentieth obtaining unit being used to obtain a first adjustment instruction according to the first result, wherein the first adjustment instruction is used to adjust the fifth popular science information to be pushed;

[0131] The twenty-first obtaining unit is used to obtain a second adjustment instruction according to the second result, wherein the second adjustment instruction is used to adjust the fourth popular science information to be pushed.

[0132] Furthermore, the device also includes:

[0133] A twenty-second obtaining unit, wherein the twenty-first obtaining unit is configured to obtain first proportion information of the first age group information according to the first population distribution characteristic information;

[0134] A twenty-third obtaining unit, the twenty-second obtaining unit is used to obtain, according to the first result, second proportion information of the science popularization information having a first relevance to the first age group information in the fifth science popularization information to be pushed to the first science popularization information to be pushed;

[0135] a fourth judgment unit, configured to judge whether the second proportion information exceeds the first proportion information;

[0136] A first adjustment unit, wherein the first adjustment unit is used to adjust the second proportion information according to the first proportion information if it exceeds the first proportion information, wherein the second proportion is adjusted by reducing the number of popular science information having a first relevance to the first age group information in the fifth popular science information to be pushed.

[0137] Furthermore, the device also includes:

[0138] a twenty-fourth obtaining unit, wherein the twenty-third obtaining unit is used to obtain first resident behavior information according to the first age group information;

[0139] a twenty-fifth obtaining unit, wherein the twenty-fourth obtaining unit is used to obtain a first idle time according to the first resident behavior information;

[0140] a twenty-sixth obtaining unit, wherein the twenty-fifth obtaining unit is used to obtain a first densely populated area in the first community according to the first age group information;

[0141] The second push unit is used to push popular science information in the first densely populated area according to the first idle time.

[0142] Furthermore, the device also includes:

[0143] a first generating unit, the first generating unit being configured to generate a first verification code according to the fourth popular science information to be pushed, wherein the first verification code corresponds one-to-one to the fourth popular science information to be pushed;

[0144] a second generating unit, the second generating unit being used to generate a second verification code according to the fifth popular science information to be pushed and the first verification code; and by analogy, generating an Nth verification code according to the Nth popular science information to be pushed and the N-1th verification code, wherein N is a natural number greater than 1;

[0145] The first operating unit is used to copy and save all the popular science information and verification codes to be pushed on M devices respectively, where M is a natural number greater than 1.

[0146] The foregoing Figure 1 The various variations and specific examples of a popular science information push method in Embodiment 1 are also applicable to a popular science information push device in this embodiment. Through the above detailed description of a popular science information push method, those skilled in the art can clearly know the implementation method of a popular science information push device in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0147] Embodiment 3

[0148] Based on the same inventive concept as the method for pushing popular science information in the aforementioned embodiment, the present invention further provides an exemplary electronic device, such as Figure 3 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302. When the processor 302 executes the program, the steps of any method of the method for pushing popular science information described above are implemented.

[0149] Among them, Figure 3 In the embodiment of the present invention, a bus architecture (represented by bus 300) is shown, which may include any number of interconnected buses and bridges, and bus 300 links various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0150] The above one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:

[0151] The embodiment of the present invention provides a method and device for pushing popular science information, which comprises the following steps: obtaining first resident group information of a first community according to a first camera of the first community; obtaining second resident group information of the second community according to a second camera of the second community; obtaining a first similarity according to the first resident group information and the second resident group information; obtaining a first predetermined similarity threshold; judging whether the first similarity exceeds the first predetermined similarity threshold; if the first predetermined similarity threshold is exceeded, obtaining first popular science information to be pushed in the first community and second popular science information to be pushed in the second community; judging whether there is a third popular science information to be pushed between the first popular science information to be pushed and the second popular science information to be pushed, wherein the third popular science information to be pushed is overlapping popular science information between the first popular science information to be pushed and the second popular science information to be pushed; if there is a third popular science information to be pushed information, then the fourth science popularization information to be pushed and the fifth science popularization information to be pushed are obtained, wherein the fourth science popularization information to be pushed is the science popularization information in the first science popularization information to be pushed excluding the third science popularization information to be pushed, and the fifth science popularization information to be pushed is the science popularization information in the second science popularization information to be pushed excluding the third science popularization information to be pushed; a first push instruction is obtained; according to the first push instruction, the fourth science popularization information to be pushed is pushed to the second residential group, and the fifth science popularization information to be pushed is pushed to the first residential group, thereby solving the technical problem in the prior art that it is difficult to match science popularization information for the public in a targeted manner and provide personalized push services for the community's science popularization work, resulting in low public participation and difficulty in obtaining good science popularization publicity effects, and achieving the technical effect of providing personalized science popularization information services, realizing accurate push of science popularization content, and improving the efficiency and popularity of science popularization work.

[0152] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0153] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0154] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0155] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0156] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for pushing science popularization information, applied to a science popularization information pushing system, wherein the system is provided with a camera in the community under its jurisdiction and is connected to the server of the system in communication, wherein: The method comprises: Obtaining information about a first resident group in the first community according to a first camera in the first community; Obtaining information about a second resident group in the second community according to a second camera in the second community; Obtaining a first similarity according to the first residential group information and the second residential group information; Obtaining a first predetermined similarity threshold; determining whether the first similarity exceeds the first predetermined similarity threshold; If the first predetermined similarity threshold is exceeded, obtaining the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community; Determine whether there is third science popularization information to be pushed between the first science popularization information to be pushed and the second science popularization information to be pushed, wherein the third science popularization information to be pushed is overlapping science popularization information between the first science popularization information to be pushed and the second science popularization information to be pushed; If the third science popularization information to be pushed exists, obtain the fourth science popularization information to be pushed and the fifth science popularization information to be pushed, wherein the fourth science popularization information to be pushed is the science popularization information in the first science popularization information to be pushed except the third science popularization information to be pushed, and the fifth science popularization information to be pushed is the science popularization information in the second science popularization information to be pushed except the third science popularization information to be pushed; Obtaining a first push instruction; According to the first push instruction, the fourth popular science information to be pushed is pushed to the second residential group, and the fifth popular science information to be pushed is pushed to the first residential group.

2. The method of claim 1, wherein: Before obtaining the first similarity according to the first residential group information and the second residential group information, the method further includes: Obtaining first geographic location information of the first community; Obtaining first attribute information according to the first geographical location information; Obtaining second geographic location information of the second community; Obtaining second attribute information according to the second geographical location information; Obtaining a second similarity between the first attribute information and the second attribute information; Obtaining a second predetermined similarity threshold; determining whether the second similarity exceeds the second predetermined similarity threshold; If the second predetermined similarity threshold is exceeded, a first similarity is obtained according to the first residential group information and the second residential group information.

3. The method of claim 1, wherein: The method further comprises: obtaining a first similarity according to the first residential group information and the second residential group information: Obtaining first population distribution characteristic information of the first residential group; Obtaining second population distribution characteristic information of the second residential group; According to the first population distribution characteristic information, first age group information is obtained, wherein the first age group information is age range information where residents are concentrated; According to the second population distribution characteristic information, second age group information is obtained, wherein the second age group information is age range information where residents are concentrated; A first similarity is obtained according to the first age group information and the second age group information.

4. The method of claim 3, wherein: Before pushing the fourth popular science information to be pushed to the second residential group and pushing the fifth popular science information to be pushed to the first residential group according to the first push instruction, the method further includes: Inputting the first age group information, the second age group information, the fourth popular science information to be pushed, and the fifth popular science information to be pushed into a first training model, wherein the first training model is obtained by training with multiple sets of training data, each set of the multiple sets of data includes a first type of data group and a second type of data group, each set of data in the first type of data group includes: the first age group information, the fifth popular science information to be pushed, and information identifying the first result; each set of data in the second type of data group includes: the second age group information, the fourth popular science information to be pushed, and information identifying the second result; Obtaining output information of the first training model, wherein the output information includes the first result and a second result, wherein the first result is the popular science information in the fifth popular science information to be pushed that has a first correlation with the first age group information, and the second result is the popular science information in the fourth popular science information to be pushed that has the first correlation with the second age group information; Obtaining a first adjustment instruction according to the first result, wherein the first adjustment instruction is used to adjust the fifth popular science information to be pushed; A second adjustment instruction is obtained according to the second result, wherein the second adjustment instruction is used to adjust the fourth popular science information to be pushed.

5. The method of claim 4, wherein: The method further comprises: Obtaining first proportion information of the first age group information according to the first population distribution characteristic information; According to the first result, obtaining second proportion information of the first science popularization information to be pushed that has a first relevance to the first age group information in the fifth science popularization information to be pushed; Determine whether the second proportion information exceeds the first proportion information; If it exceeds the first proportion information, the second proportion information is adjusted according to the first proportion information, wherein the second proportion is adjusted by reducing the number of popular science information having a first relevance to the first age group information in the fifth popular science information to be pushed.

6. The method of claim 3, wherein: The method further comprises: Obtaining first resident behavior information based on the first age group information; Obtaining a first idle time according to the first resident behavior information; Obtaining a first densely populated area in the first community according to the first age group information; According to the first idle time, popular science information is pushed in the first densely populated area.

7. The method of claim 1, wherein: The method further comprises: generating a first verification code according to the fourth popular science information to be pushed, wherein the first verification code corresponds one-to-one to the fourth popular science information to be pushed; Generate a second verification code according to the fifth popular science information to be pushed and the first verification code; and so on, generate an Nth verification code according to the Nth popular science information to be pushed and the N-1th verification code, where N is a natural number greater than 1; All popular science information and verification codes to be pushed are copied and saved on M devices respectively, where M is a natural number greater than 1.

8. A device for pushing popular science information, characterized in that: The device comprises: a first obtaining unit, the first obtaining unit being configured to obtain first resident group information of the first community according to a first camera of the first community; a second obtaining unit, the second obtaining unit being configured to obtain second resident group information of the second community according to a second camera of the second community; a third obtaining unit, the third obtaining unit being used to obtain a first similarity according to the first residential group information and the second residential group information; a fourth obtaining unit, wherein the fourth obtaining unit is used to obtain a first predetermined similarity threshold; a first judging unit, configured to judge whether the first similarity exceeds a first predetermined similarity threshold; a fifth obtaining unit, configured to obtain the first popular science information to be pushed in the first community and the second popular science information to be pushed in the second community if the first predetermined similarity threshold is exceeded; a second judgment unit, the second judgment unit being used to judge whether there is a third science popularization information to be pushed between the first science popularization information to be pushed and the second science popularization information to be pushed, wherein the third science popularization information to be pushed is the overlapping science popularization information between the first science popularization information to be pushed and the second science popularization information to be pushed; a sixth obtaining unit, the sixth obtaining unit being configured to obtain fourth and fifth popular science information to be pushed if the third popular science information to be pushed exists, wherein the fourth popular science information to be pushed is the popular science information in the first popular science information to be pushed except the third popular science information to be pushed, and the fifth popular science information to be pushed is the popular science information in the second popular science information to be pushed except the third popular science information to be pushed; a seventh obtaining unit, the seventh obtaining unit being used to obtain a first push instruction; A first pushing unit, wherein the first pushing unit is used to push the fourth popular science information to be pushed to the second residential group and push the fifth popular science information to be pushed to the first residential group according to the first pushing instruction.

9. A popular science information push device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method according to any one of claims 1 to 7 are implemented.

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