CN115687280A - Community information sharing system and method based on cloud platform - Google Patents
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Abstract
The invention relates to the technical field of information sharing, in particular to a community information sharing system and method based on a cloud platform, which comprises the following steps: the system comprises a data acquisition module, a sharing cloud platform, an activity information analysis module, an information sharing management module and an activity notification management module, wherein activity information, community information and information authorized by community users are acquired through the data acquisition module, all acquired data are stored through the sharing cloud platform and the acquired activity information is shared, the activity information analysis module is used for analyzing activity handling time and community position information, the information sharing management module is used for selecting an optimal sharing mode and community sharing activity information according to an analysis result, the probability that the community users receive the issued information is predicted through the activity notification management module, and the activity information is selected to be sent to users needing to be notified additionally, so that the efficiency of multi-party information sharing is improved, the enthusiasm of the community users participating in community activities is effectively mobilized, and meanwhile, the information sharing cost is reduced.
Description
Technical Field
The invention relates to the technical field of information sharing, in particular to a community information sharing system and method based on a cloud platform.
Background
The concept of a smart city is introduced into a community to realize the construction of the smart community, and by taking the happiness of community people as a starting point, a public welfare organization can hold various public welfare activities in the community to provide convenience for community users, can promote the progress of regional society, is indispensable for ensuring the smooth and orderly holding of the public welfare activities and the information docking and information sharing with the community, and can ensure the timely sharing of activity information by taking a cloud platform as a bridge for the information docking of the community;
however, the existing information sharing method still has the following problems: firstly, the existing information sharing mode is still defaulted to perform data transmission with each community activity management platform through a cloud platform to finish information sharing, and for a plurality of communities holding the same activity at the same time, the needed information is the same, so that the community interval can also transmit and share the information, sometimes, the information transmission of the community interval is faster, the prior art cannot select the optimal sharing mode to finish the sharing of the activity information, and the efficiency of multi-party information sharing cannot be improved; secondly, besides information sharing between the platform and the community, the platform and the community user also need information sharing, and the final purpose of the information sharing is to mobilize the community user to participate in the activity.
Therefore, a system and a method for community information sharing based on a cloud platform are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a community information sharing system and method based on a cloud platform, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a cloud platform based community information sharing system, the system comprising: the system comprises a data acquisition module, a shared cloud platform, an activity information analysis module, an information sharing management module and an activity notification management module;
the output end of the data acquisition module is connected with the output ends of the shared cloud platform and the activity notification management module, the output end of the shared cloud platform is connected with the input end of the activity information analysis module, the output end of the activity information analysis module is connected with the input end of the information sharing management module, and the output end of the information sharing management module is connected with the input end of the activity notification management module;
the data acquisition module is used for acquiring activity information, community information and information authorized by community users;
the shared cloud platform is used for storing all the acquired data and sharing the acquired activity information;
the activity information analysis module is used for analyzing activity holding time and community position information;
the information sharing management module is used for selecting an optimal sharing mode and sharing activity information with the community according to the analysis result;
the activity notification management module is used for predicting the probability of the community users receiving the published information and selecting to send activity information to users needing to be notified additionally.
Furthermore, the data acquisition module comprises an activity information acquisition unit, a community information acquisition unit and a login information acquisition unit;
the output ends of the activity information acquisition unit and the community information acquisition unit are connected with the input end of the shared cloud platform;
the activity information acquisition unit is used for acquiring the position and time information held by community activities;
the community information acquisition unit is used for acquiring the position information of a community;
the login information acquisition unit is used for acquiring authorized login information after the community users log in the activity management platform.
Further, the activity information analysis module comprises an activity time counting unit and a community position analysis unit;
the input ends of the activity time counting unit and the community position analysis unit are connected with the output end of the shared cloud platform, and the output end of the activity time counting unit is connected with the input end of the community position analysis unit;
the event time counting unit is used for analyzing event time to be held in different communities and counting the number of communities holding the same event at the same time;
the community location analysis unit is used for analyzing community location information of the same event held at the same time and transmitting the community location information to the information sharing management module when the community area holding the same event at the same time exists.
Further, the information sharing management module comprises a receiving efficiency analysis unit and a sharing mode optimization unit;
the input end of the receiving efficiency analysis unit is connected with the output end of the community position analysis unit, and the output end of the receiving efficiency analysis unit is connected with the input end of the sharing mode optimization unit;
the receiving efficiency analysis unit is used for analyzing the efficiency of sharing information in different sharing modes according to the received community position information;
the sharing mode optimizing unit is used for selecting the sharing mode with the highest efficiency as the optimal sharing mode to share the activity information.
Further, the activity notification management module comprises a received probability prediction unit and an activity notification unit;
the input end of the received probability prediction unit is connected with the output end of the sharing mode optimization unit, and the output end of the received probability prediction unit is connected with the input end of the activity notification unit;
the received probability prediction unit is used for analyzing the acquired position information authorized by the community users and the login time information after the activity management platforms of all communities receive the activity information, and predicting the probability that the users see and receive the information after the activity information is published on the activity management platforms of the communities to which the activity information belongs;
the activity notification unit is used for setting a probability threshold value and selecting to send other activity notification information to the user corresponding to the prediction probability smaller than the threshold value.
A community information sharing method based on a cloud platform comprises the following steps:
s1: acquiring activity information, community information and information authorized by community users;
s2: analyzing the event holding time, and analyzing the efficiency of sharing information in different sharing modes according to community position information when community areas holding the same event at the same time exist;
s3: selecting an optimal sharing mode according to the efficiency to share the activity information with the community;
s4: the community receives and releases the activity information and predicts the probability of the community user receiving the released information;
s5: and sending activity information to the users needing to be notified additionally according to the probability selection.
Further, in step S1: collecting a time set of event hosting, wherein n represents the number of events to be hosted, collecting position information and community position information corresponding to the event hosting, collecting time length information and transmitted data size information of data transmitted to a community event management platform through a cloud server in the past, and collecting authorized login information of different community users after logging in the event management platform;
in step S2: analyzing the event hosting time, comparing the event hosting position with the community position, counting the number of communities hosting the same event at the same time to be m, when m is larger than or equal to 2, acquiring the ip address of a community event management platform hosting the same event at the same time, converting the ip address into position coordinates, acquiring a position coordinate set of (x, y) = { (x 1, y 1), (x 2, y 2), 8230 { (xm, ym) }, acquiring the position coordinates of a cloud server of (A, B), calling the average time length set of data transmitted to m community event management platforms by the cloud server in the past to be t = { t1, t2, \\\ 8230 }, tm }, acquiring the average data volume set of transmitted B = { B1, B2, \8230 }, bm }, and calculating the efficiency coefficient w of directly transmitting data to m community event management platforms by sharing the cloud platform according to the following formula:
ti represents the average time length of the past activity management platform for transmitting data to a random community in m communities through a cloud server, bi represents the average data volume transmitted in the corresponding transmission process, xi and yi respectively represent the horizontal and vertical coordinates of the position corresponding to the ip address of the random community activity management platform, and the default information sharing mode is preferentially analyzed: the purpose of the information sharing efficiency of the mode of directly transmitting data to all community activity management platforms through the shared cloud platform is to compare with the information sharing efficiency obtained by adopting another subsequent sharing mode so as to select the optimal sharing mode to share the activity information, which is favorable for ensuring that the activity information is more quickly butted with the community to smoothly promote the activity preparation work, the time length required for transmitting the data to different community activity management platforms by a cloud server on the shared cloud platform is different due to the influence of various factors, the information sharing efficiency is analyzed by combining historical time length data and information transmission distance data among the platforms, and the accuracy of the efficiency analysis result is favorably improved.
Further, calculating an efficiency coefficient Wj of an activity management platform of a random community selected by the sharing cloud platform for transmitting data and then sharing the data to activity management platforms of the rest communities by the activity management platforms of the corresponding communities according to the following formula:
tu represents the average time length of data transmitted to a selected community activity management platform through a cloud server in the past, bu represents the average data volume transmitted to the selected community activity management platform, xv and yv represent the horizontal and vertical coordinates of the position corresponding to the ip address of the selected community activity management platform, xe ’ And ye ’ Respectively representing the horizontal and vertical coordinates of the corresponding position of the ip address of the rest random community activity management platform, obtaining the activity management platform transmission data of different communities selected by the shared cloud platform in the same calculation mode, and then obtaining the activity management platform transmission data corresponding to the different communitiesThe efficiency coefficient set of the activity management platform of the community for sharing data to the activity management platforms of the rest communities is W = { W1, W2, \8230;, wj, \8230;, wm };
in step S3: comparing W and W: if the efficiency coefficient larger than W does not exist in W, selecting a mode of directly transmitting data to m community activity management platforms through a shared cloud platform as an optimal sharing mode to share activity information with the communities; if the efficiency coefficient larger than W exists in W, selecting an activity management platform which selects one random community through a sharing cloud platform to transmit data, taking the mode that the activity management platform corresponding to the community shares the data to the activity management platforms of the rest communities as an optimal sharing mode to share activity information with the community, selecting the sharing mode corresponding to the maximum efficiency coefficient in W and the community to share the activity information, and analyzing other sharing modes by combining the required time length and the transmission distance of data transmission, wherein the required activity data is the same for communities which hold the same activity at the same time, and the representative community interval can also share the information: the efficiency of the mode that the sharing cloud platform selects the activity management platform of one community to transmit data randomly and then the activity management platform of the corresponding community shares the data to the activity management platforms of the rest communities is compared with the efficiency of the default sharing mode, so that the optimal sharing mode can be selected to share the activity information conveniently, and the efficiency of multi-party information sharing is improved.
Further, in step S4: after sharing activity information with the community, releasing the activity information through the community activity management platform, and calling authorized login information after different community users log in the activity management platform: the number set of times that a user calling a random community logs in an activity management platform after activity information is published and before an activity is held is E = { E1, E2, \8230;, eh }, wherein h represents the number of users calling a corresponding community, the average interval time set that the user calling the corresponding community logs in the activity management platform after the activity information is published and before the activity is held is c = { c1, c2, \8230;, ch }, the position information corresponding to the user address is called, the offline release position corresponding to the activity information is obtained, and the linear distance set from the position corresponding to the random user address to the offline release position is obtainedIs d = { d1, d2, \ 8230;, dg }, according to the formula
Calculating to obtain the average linear distance from the position corresponding to one random user address to the offline release position
s represents the linear distance from the position corresponding to the corresponding user address to a random offline release position, and the average linear distance from the position corresponding to the user address called by the corresponding community to the offline release position is counted to be the set
Wherein g represents the number of the distributed points under the line corresponding to the activity information, and the probability Pr of the corresponding user receiving the distributed information is predicted according to the following formula:
the method comprises the following steps that Er represents the number of times that a random user logs in an activity management platform after activity information is issued and before the activity is held, cr represents the average interval time that the random user logs in the activity management platform, and the set of probabilities that all called users in a corresponding community receive issued information is predicted to be P = { P1, P2, \8230;, pr, \8230;, ph };
in step S5: comparing the probability of the user receiving the issued information, and screening out the information with the probability less than that of the user
The user of (1) selects to send activity information to the user needing to be notified additionally, judges the probability that the user sees the released activity information by analyzing the login time and the position information of the community user, judges the probability that the user sees the activity information released on the platform by combining the position information and judges the probability that the user sees the activity information released on line by combining the login time data and the position informationThe method is beneficial to improving the accuracy of probability analysis results, and users with low probability are selected to additionally send activity information to the mobile phone terminals of the users instead of sending the information to all the users, so that the information sharing cost is reduced while the enthusiasm of community users for participating in community activities is effectively mobilized.
Compared with the prior art, the invention has the following beneficial effects:
when a plurality of community areas holding the same event exist at the same time, the efficiency of information sharing is carried out by analyzing and comparing the mode of directly transmitting data to all community event management platforms through the shared cloud platform, the efficiency of information sharing is carried out by selecting an event management platform of one community at random through the shared cloud platform and then sharing the data to the event management platforms of the rest communities through the event management platforms of the corresponding communities, the optimal sharing mode is selected to share the event information, and the efficiency of multi-party information sharing is improved; the probability that the user sees the released activity information is judged by analyzing the login time and the position information of the community user, and the probability that the user sees the activity information released on the platform is judged by combining the login time data and the position information, so that the accuracy of a probability analysis result is improved; the users with low selection probability additionally send activity information to the user mobile phone terminals instead of sending information to all users, so that the initiative of community users participating in community activities is effectively mobilized, and meanwhile, the information sharing cost is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a structural diagram of a community information sharing system based on a cloud platform according to the present invention;
FIG. 2 is a flowchart of a community information sharing method based on a cloud platform according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1-2, the present invention provides a technical solution: a community information sharing system based on a cloud platform comprises: the system comprises a data acquisition module, a shared cloud platform, an activity information analysis module, an information sharing management module and an activity notification management module;
the output end of the data acquisition module is connected with the output ends of the shared cloud platform and the activity notification management module, the output end of the shared cloud platform is connected with the input end of the activity information analysis module, the output end of the activity information analysis module is connected with the input end of the information sharing management module, and the output end of the information sharing management module is connected with the input end of the activity notification management module;
the data acquisition module is used for acquiring activity information, community information and information authorized by community users;
the sharing cloud platform is used for storing all the acquired data and sharing the acquired activity information;
the activity information analysis module is used for analyzing activity holding time and community position information;
the information sharing management module is used for selecting an optimal sharing mode and sharing activity information with the community according to the analysis result;
the activity notification management module is used for predicting the probability of the community users receiving the published information and selecting to send activity information to users needing to be notified additionally.
The data acquisition module comprises an activity information acquisition unit, a community information acquisition unit and a login information acquisition unit;
the output ends of the activity information acquisition unit and the community information acquisition unit are connected with the input end of the shared cloud platform;
the activity information acquisition unit is used for acquiring the position and time information of the community activity;
the community information acquisition unit is used for acquiring the position information of a community;
the login information acquisition unit is used for acquiring authorized login information after the community user logs in the activity management platform.
The activity information analysis module comprises an activity time counting unit and a community position analysis unit;
the input ends of the activity time counting unit and the community position analysis unit are connected with the output end of the shared cloud platform, and the output end of the activity time counting unit is connected with the input end of the community position analysis unit;
the event time counting unit is used for analyzing event time to be held in different communities and counting the number of communities holding the same event at the same time;
the community position analysis unit is used for analyzing community position information of the same event held at the same time and transmitting the community position information to the information sharing management module when the community area holding the same event at the same time exists.
The information sharing management module comprises a receiving efficiency analysis unit and a sharing mode optimization unit;
the input end of the receiving efficiency analysis unit is connected with the output end of the community position analysis unit, and the output end of the receiving efficiency analysis unit is connected with the input end of the sharing mode optimization unit;
the receiving efficiency analysis unit is used for analyzing the efficiency of sharing information in different sharing modes according to the received community position information, and the sharing mode comprises the following steps: the method I comprises the following steps: directly transmitting data to activity management platforms of all communities through a shared cloud platform; the second method comprises the following steps: selecting an activity management platform of one community to transmit data through a shared cloud platform, and sharing the data to activity management platforms of the rest communities through the activity management platforms of the communities;
the sharing mode optimizing unit is used for selecting the sharing mode with the highest efficiency as the optimal sharing mode to share the activity information.
The activity notification management module comprises a received probability prediction unit and an activity notification unit;
the input end of the received probability prediction unit is connected with the output end of the sharing mode optimization unit, and the output end of the received probability prediction unit is connected with the input end of the activity notification unit;
the received probability prediction unit is used for analyzing the acquired position information authorized by the community users and the login time information after the activity management platforms of all communities receive the activity information, and predicting the probability that the users see and receive the information after the activity information is released on the activity management platforms of the communities to which the activity information belongs;
the activity notification unit is used for setting a probability threshold value and selecting to send other activity notification information to the user corresponding to the prediction probability smaller than the threshold value.
A community information sharing method based on a cloud platform comprises the following steps:
s1: acquiring activity information, community information and information authorized by community users;
s2: analyzing the event holding time, and analyzing the efficiency of sharing information in different sharing modes according to community position information when community areas holding the same event at the same time exist;
s3: selecting an optimal sharing mode according to the efficiency to share the activity information with the community;
s4: the community receives and releases activity information and predicts the probability of the community user receiving the released information;
s5: and sending activity information to the users needing to be notified additionally according to the probability selection.
In step S1: collecting a time set of event hosting, wherein n represents the number of events to be hosted, collecting position information and community position information corresponding to the event hosting, collecting time length information and transmitted data size information of data transmitted to a community event management platform through a cloud server in the past, and collecting authorized login information of different community users after logging in the event management platform;
in step S2: analyzing the event hosting time, comparing the event hosting position with the community position, counting the number of communities hosting the same event at the same time to be m, when m is larger than or equal to 2, acquiring the ip address of a community event management platform hosting the same event at the same time, converting the ip address into position coordinates, acquiring a position coordinate set of (x, y) = { (x 1, y 1), (x 2, y 2), 8230 { (xm, ym) }, acquiring the position coordinates of a cloud server of (A, B), calling the average time length set of data transmitted to m community event management platforms by the cloud server in the past to be t = { t1, t2, \\\ 8230 }, tm }, acquiring the average data volume set of transmitted B = { B1, B2, \8230 }, bm }, and calculating the efficiency coefficient w of directly transmitting data to m community event management platforms by sharing the cloud platform according to the following formula:
ti represents the average time length of the past data transmission to the activity management platform of a random community in m communities through the cloud server, bi represents the average data volume transmitted in the corresponding transmission process, and xi and yi represent the horizontal and vertical coordinates of the position corresponding to the ip address of the random community activity management platform respectively.
Calculating the efficiency coefficient Wj of the activity management platform of one random community selected by the sharing cloud platform to transmit data and the activity management platform of the corresponding community shares the data to the activity management platforms of the rest communities according to the following formula:
wherein tu represents the average duration of data transmission to the selected community activity management platform through the cloud server, bu represents the average data volume transmitted to the selected community activity management platform, xv and yv represent the horizontal and vertical coordinates of the corresponding position of the ip address of the selected community activity management platform, and xe ’ And ye ’ Respectively representing horizontal and vertical coordinates of the corresponding position of the ip address of the remaining random community activity management platform, obtaining the activity management platform transmission data of different communities selected by the sharing cloud platform in the same computing mode, and sharing the data to the activity management platform of the remaining community by the activity management platform of the corresponding community, wherein the set of efficiency coefficients of the activity management platform of the remaining community is W = { W1, W2, \8230;, wj, \8230;, wm };
in step S3: comparing W and W: if the efficiency coefficient larger than W does not exist in W, selecting a mode of directly transmitting data to m community activity management platforms through a shared cloud platform as an optimal sharing mode and sharing activity information with communities; if the efficiency coefficient larger than W exists in W, selecting an activity management platform which selects one community randomly through a sharing cloud platform to transmit data, then using a mode that the activity management platform of the corresponding community shares the data to the activity management platforms of the rest communities as an optimal sharing mode to share activity information with the communities, and selecting a sharing mode corresponding to the maximum efficiency coefficient in W and the community to share the activity information.
In step S4: after sharing activity information with the community, releasing the activity information through the community activity management platform, and calling authorized login information after different community users log in the activity management platform: the method comprises the steps that the frequency set of logging in an activity management platform by a user calling a random community after activity information is published and before an activity is held is E = { E1, E2, \8230;, eh }, wherein h represents the number of the users called by the corresponding community, the average interval time set of logging in the activity management platform by the user calling the user corresponding to the community after the activity information is published and before the activity is held is c = { c1, c2, \8230;, ch }, the position information corresponding to the user address is called, the offline publishing position corresponding to the activity information is obtained, and the linear distance set from the position corresponding to the random user address to the offline publishing position is d = { d1, d2, \8230;, dg }, according to a formula
Calculating to obtain the average linear distance from the position corresponding to one random user address to the offline release position
s represents the linear distance from the position corresponding to the corresponding user address to a random offline release position, and the average linear distance from the position corresponding to the user address called by the corresponding community to the offline release position is counted to be the set
Wherein g represents a line corresponding to the activity informationAnd the number of issued points, and the probability Pr of the corresponding user receiving the issued information is predicted according to the following formula:
the method comprises the following steps that Er represents the number of times that a random user logs in an activity management platform after activity information is issued and before the activity is held, cr represents the average interval time that the random user logs in the activity management platform, and the set of probabilities that all called users in a corresponding community receive issued information is predicted to be P = { P1, P2, \8230;, pr, \8230;, ph };
in step S5: comparing the probability of the user receiving the issued information, and setting a probability threshold value as follows:
screening probability less than
The user (2) is a user who needs to separately notify the activity information, and selects to send the activity information to the user who needs to separately notify, and the offline publication means that the activity information is published by posting paper or by posting on a bulletin board.
The first embodiment is as follows: collecting and analyzing the time of holding the event, comparing the position of holding the event with the community position, and counting that the number of communities holding the same event at the same time is m =3,m>Acquiring a position coordinate set of a community activity management platform holding the same activity at the same time as (x, y) = { (x 1, y 1), (x 2, y 2), (x 3, y 3) } = { (3, 6), (10, 10), (5, 5) }, acquiring a position coordinate of a cloud server as (a, B) = (1, 1), and calling an average time length set of m =3 community activity management platforms, which is transmitted by the cloud server in the past, as t = { t1, t2, t3} = {20, 60, 30}, where the unit is: second, the set of average amounts of data transmitted is b = { b1, b2, b3} = {5, 10,8}, with the unit: kilobyte, according to formula
Calculating an efficiency coefficient w of approximately 0.04 by directly transmitting data to m =3 community activity management platforms through a shared cloud platform according to a formula
Calculating the transmission data of the activity management platform of one random community selected by the shared cloud platform, sharing the data to the activity management platforms of the rest communities by the activity management platforms of the corresponding communities with the efficiency coefficient Wj of about 0.05, obtaining the transmission data of the activity management platforms of different communities selected by the shared cloud platform in the same calculation mode, sharing the data to the activity management platforms of the rest communities by the activity management platforms of the corresponding communities with the efficiency coefficient set W = { W1, W2, W3} = {0.05,0.03,0.06}, and comparing W with W: w1>w，W3>w，W3>W1, selecting a sharing mode corresponding to W3 and sharing the activity information with the community: selecting an activity management platform of a third community to transmit data through the shared cloud platform, and sharing the data to activity management platforms of the rest communities by the activity management platform of the third community as an optimal sharing mode to share activity information with the communities;
example two: the set of times of logging in the activity management platform by a user who calls a random community after the activity information is published and before the activity is held is E = { E1, E2, E3} = {3,5,2}, and the average interval time set of logging in the activity management platform by the user who corresponds to the community after the activity information is published and before the activity is held is c = { c1, c2, c3} = {5,2,6}, wherein the unit is: when the current time is short, calling the position information corresponding to the user address, acquiring the offline release position corresponding to the activity information, and obtaining that the linear distance set from the position corresponding to the random user address to the offline release position is d = { d1, d2, d3} = {100, 200, 50}, wherein the unit is: rice according to the formula
Calculating to obtain the average linear distance from the position corresponding to one random user address to the offline release position
Counting the average linear distance set from the position corresponding to the user address called by the corresponding community to the offline release position to be
According to the formula
Predicting that the probability set of all called users of the corresponding community receiving the published information is P = { P1, P2, P3} = {0.15,0.28,0.06}, comparing the probabilities of the users receiving the published information, and screening out the probability smaller than that of the users receiving the published information
The user (2) selects the first and third users to send the activity information separately, for the user who needs to inform the activity information separately.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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 (9)
1. A community information sharing system based on a cloud platform is characterized in that: the system comprises: the system comprises a data acquisition module, a shared cloud platform, an activity information analysis module, an information sharing management module and an activity notification management module;
the output end of the data acquisition module is connected with the output ends of the shared cloud platform and the activity notification management module, the output end of the shared cloud platform is connected with the input end of the activity information analysis module, the output end of the activity information analysis module is connected with the input end of the information sharing management module, and the output end of the information sharing management module is connected with the input end of the activity notification management module;
the data acquisition module is used for acquiring activity information, community information and information authorized by community users;
the shared cloud platform is used for storing all the acquired data and sharing the acquired activity information;
the activity information analysis module is used for analyzing activity holding time and community position information;
the information sharing management module is used for selecting an optimal sharing mode and sharing activity information with the community according to the analysis result;
the activity notification management module is used for predicting the probability of the community users receiving the published information and selecting to send activity information to users needing to be notified additionally.
2. The cloud platform-based community information sharing system according to claim 1, wherein: the data acquisition module comprises an activity information acquisition unit, a community information acquisition unit and a login information acquisition unit;
the output ends of the activity information acquisition unit and the community information acquisition unit are connected with the input end of the shared cloud platform;
the activity information acquisition unit is used for acquiring the position and time information of the community activity;
the community information acquisition unit is used for acquiring the position information of a community;
the login information acquisition unit is used for acquiring authorized login information after the community users log in the activity management platform.
3. The cloud platform-based community information sharing system according to claim 2, wherein: the activity information analysis module comprises an activity time counting unit and a community position analysis unit;
the input ends of the activity time counting unit and the community position analysis unit are connected with the output end of the shared cloud platform, and the output end of the activity time counting unit is connected with the input end of the community position analysis unit;
the event time counting unit is used for analyzing event time to be held in different communities and counting the number of communities holding the same event at the same time;
the community location analysis unit is used for analyzing community location information of the same event held at the same time and transmitting the community location information to the information sharing management module when the community area holding the same event at the same time exists.
4. The cloud platform-based community information sharing system according to claim 3, wherein: the information sharing management module comprises a receiving efficiency analysis unit and a sharing mode optimization unit;
the input end of the receiving efficiency analysis unit is connected with the output end of the community position analysis unit, and the output end of the receiving efficiency analysis unit is connected with the input end of the sharing mode optimization unit;
the receiving efficiency analysis unit is used for analyzing the efficiency of sharing information in different sharing modes according to the received community position information;
the sharing mode optimizing unit is used for selecting the sharing mode with the highest efficiency as the optimal sharing mode to share the activity information.
5. The cloud platform-based community information sharing system according to claim 4, wherein: the activity notification management module comprises a received probability prediction unit and an activity notification unit;
the input end of the received probability prediction unit is connected with the output end of the sharing mode optimization unit, and the output end of the received probability prediction unit is connected with the input end of the activity notification unit;
the received probability prediction unit is used for analyzing the acquired position information authorized by the community users and the login time information after the activity management platforms of all communities receive the activity information, and predicting the probability that the users see and receive the information after the activity information is published on the activity management platforms of the communities to which the activity information belongs;
the activity notification unit is used for setting a probability threshold value and selecting to send other activity notification information to the user corresponding to the prediction probability smaller than the threshold value.
6. A community information sharing method based on a cloud platform is characterized in that: the method comprises the following steps:
s1: acquiring activity information, community information and information authorized by community users;
s2: analyzing the event holding time, and when community areas holding the same event at the same time exist, analyzing the efficiency of sharing information in different sharing modes according to community position information;
s3: selecting an optimal sharing mode according to the efficiency to share the activity information with the community;
s4: the community receives and releases activity information and predicts the probability of the community user receiving the released information;
s5: and sending activity information to users needing to be notified additionally according to the probability selection.
7. The community information sharing method based on the cloud platform according to claim 6, wherein: in step S1: the method comprises the steps of collecting a time set of activity holding, wherein the time set is T = { T1, T2, \8230:, tn }, wherein n represents the number of activities to be held, collecting position information and community position information corresponding to the activity holding, collecting duration information and transmitted data volume information of data transmitted to a community activity management platform through a cloud server in the past, and collecting authorized login information of different community users after logging in the activity management platform;
in step S2: analyzing the event hosting time, comparing the event hosting position with the community position, counting the number of communities hosting the same event at the same time to be m, when m is larger than or equal to 2, acquiring the ip address of a community event management platform hosting the same event at the same time, converting the ip address into position coordinates, acquiring a position coordinate set of (x, y) = { (x 1, y 1), (x 2, y 2), 8230 { (xm, ym) }, acquiring the position coordinates of a cloud server of (A, B), calling the average time length set of data transmitted to m community event management platforms by the cloud server in the past to be t = { t1, t2, \\\ 8230 }, tm }, acquiring the average data volume set of transmitted B = { B1, B2, \8230 }, bm }, and calculating the efficiency coefficient w of directly transmitting data to m community event management platforms by sharing the cloud platform according to the following formula:
ti represents the average time length of the past data transmission to the activity management platform of a random community in m communities through the cloud server, bi represents the average data volume transmitted in the corresponding transmission process, and xi and yi represent the horizontal and vertical coordinates of the position corresponding to the ip address of the random community activity management platform respectively.
8. The community information sharing method based on the cloud platform according to claim 7, wherein: calculating the efficiency coefficient Wj of the activity management platform of one random community selected by the sharing cloud platform to transmit data and the activity management platform of the corresponding community shares the data to the activity management platforms of the rest communities according to the following formula:
wherein tu represents the average duration of data transmission to the selected community activity management platform through the cloud server, bu represents the average data volume transmitted to the selected community activity management platform, xv and yv represent the horizontal and vertical coordinates of the corresponding position of the ip address of the selected community activity management platform, and xe ’ And ye ’ Respectively representing the horizontal and vertical coordinates of the ip address corresponding to the rest of random community activity management platforms, obtaining the activity management platform transmission data of different communities selected by the shared cloud platform in the same calculation mode, and sharing the data to the activity management platform of the rest of communities by the activity management platform of the corresponding communityThe set of efficiency coefficients of the stage is W = { W1, W2, \8230;, wj, \8230;, wm };
in step S3: comparing W and W: if the efficiency coefficient larger than W does not exist in W, selecting a mode of directly transmitting data to m community activity management platforms through a shared cloud platform as an optimal sharing mode and sharing activity information with communities; if the efficiency coefficient larger than W exists in W, selecting an activity management platform which selects one community randomly through a sharing cloud platform to transmit data, then using a mode that the activity management platform of the corresponding community shares the data to the activity management platforms of the rest communities as an optimal sharing mode to share activity information with the communities, and selecting a sharing mode corresponding to the maximum efficiency coefficient in W and the community to share the activity information.
9. The community information sharing method based on the cloud platform according to claim 8, wherein: in step S4: after sharing activity information with the community, releasing the activity information through the community activity management platform, and calling authorized login information after different community users log in the activity management platform: the method comprises the steps that after activity information is issued and before an activity is held, the number of times that users calling a random community log in an activity management platform is set to be E = { E1, E2, \8230;, eh }, wherein h represents the number of the users calling the corresponding community, the average interval time set of the users calling the corresponding community after the activity information is issued and before the activity is held to be c = { c1, c2, \8230;, ch }, the position information corresponding to a user address is called, offline release positions of the corresponding activity information are obtained, and the linear distance set from the position corresponding to the random user address to the offline release positions is d = { d1, d2, = { 8230;, dg }, according to a formula
Calculating to obtain the average linear distance from the position corresponding to one random user address to the offline release position
s represents the corresponding position of the corresponding user address to a random lineThe linear distance of the down-releasing position is counted to the average linear distance set from the position corresponding to the user address called by the corresponding community to the down-line releasing position
Wherein, g represents the number of the distributed points under the line corresponding to the activity information, and the probability Pr of the corresponding user receiving the distributed information is predicted according to the following formula:
wherein Er represents the number of times of logging in the activity management platform after the activity information is released and before the activity is held randomly, cr represents the average interval time of logging in the activity management platform by a random user, and the set of probabilities that all called users of the corresponding community receive the released information is predicted to be P = { P1, P2, \8230;, pr, \8230;, ph };
in step S5: comparing the probability of the user receiving the issued information, and screening out the information with the probability less than that of the user
The user (2) is a user who needs to be notified of the activity information separately, and selects to send the activity information to the user who needs to be notified separately.
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