Internet-based intelligent community information service platform

Abstract

The invention discloses an Internet-based intelligent community information service platform, which comprises an information section attraction analysis module, a live collection module and an information section adjustment module, and is characterized in that the information section attraction analysis module is used for checking data of the information service platform according to historically collected community personnel; the real-time condition acquisition module is used for acquiring information of passing community personnel nearby the information service platform in real time, and analyzing the attraction of the content of each display section of the information service platform to the community personnel; the information section adjusting module is used for intelligently adjusting the display position and the display area size of each information section in the information service platform according to the historical information section attraction and the community personnel live information, and the information section attraction analysis module and the live acquisition module are electrically connected with the information section adjusting module. The method has the characteristics of high information transmission efficiency and good effect.

Description

Technical Field

[0001] The present invention relates to the technical field of smart community management, and particularly to an Internet-based smart community information service platform. Background Art

[0002] With the rapid development of information technology, as an important part of the construction of smart cities, smart communities have gradually become a key way to improve community governance and service quality. By integrating advanced technologies such as the Internet of Things, cloud computing, and big data, smart communities aim to provide residents with a safe, convenient, and comfortable living environment.

[0003] However, there are still some deficiencies in the existing smart community information service platforms in terms of information display and user interaction. The traditional information release method lacks accurate grasp of residents' concerns, resulting in poor information transmission effect and affecting residents' usage experience and participation in the platform. To solve these problems, it is urgent to design an Internet-based smart community information service platform with high information transmission efficiency and good effect. Summary of the Invention

[0004] The purpose of the present invention is to provide an Internet-based smart community information service platform to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solution: An Internet-based smart community information service platform, including an information section attraction analysis module, a live collection module, and an information section adjustment module. The information section attraction analysis module is used to analyze the attraction of the content of each display section of the information service platform to community personnel according to the data of community personnel viewing the information service platform collected historically. The live collection module is used to collect the information of community personnel passing by near the information service platform in real time. The information section adjustment module is used to intelligently adjust the display position and display area size of each information section in the information service platform according to the historical information section attraction and the live information of community personnel. Both the information section attraction analysis module and the live collection module are electrically connected to the information section adjustment module.

[0006] According to the above technical solution, the information section attraction analysis module includes a section information division module, a historical path information capture module, a historical eye movement information tracking module, a timing module, and a sorting module. The section information division module is used to divide the information content displayed on the information service platform into n groups of information sections according to different information subjects. The historical path information capture module is used to obtain the historical captured path information of community members. The historical eye movement information tracking module is used to obtain the historical tracked eye movement information of community members viewing the information service platform, and determine the corresponding information section on the information service platform according to the eye movement information. The timing unit is used to count the cumulative viewing duration of each historical group of information sections by community members. The sorting module is used to perform a display priority sorting on the attraction of each display section to community members according to the content of each display section.

[0007] According to the above technical solution, the live collection module includes a pedestrian capture module and an eye movement tracking module. The pedestrian capture module is used to capture in real time the path information of community members passing by near the information service platform. The eye movement tracking module is used to track the eye movement information of community members viewing the information service platform.

[0008] According to the above technical solution, the pedestrian capture module further includes a path capture sub-module and a speed capture sub-module. The path capture sub-module is used to capture the trajectory of community members. The speed capture sub-module is used to capture the walking speed of community members.

[0009] According to the above technical solution, the information section adjustment module further includes a data transmission module, a pedestrian prediction and analysis module, a section position arrangement module, and a section size adjustment module. The data transmission module is used to obtain the historical information section attraction and the collected live community member information. The pedestrian prediction and analysis module is used to predict the area where the eyes of community members will stay for the first time on the platform when they stop to view the information service platform according to the captured path information of community members. The section position arrangement module is used to perform an order matching according to the priority of the display section and the priority of the area where the eyes of community members viewing the information service stay on the platform, and arrange the section positions. The section size adjustment module is used to adjust the size of the section display area according to the captured walking speed of community members.

[0010] According to the above technical solution, the operation method of the intelligent community information service platform includes:

[0011] Step S1: Deploy the information service platform in the community public area. According to different information subjects, use the section information division module to divide the information content displayed on the information service platform into n groups of information sections, and sequentially assign a calibration serial number to each group of information sections. The set of calibration serial numbers is {1, 2,..., n} to display different information subjects;

[0012] Step S2: Establish a historical information database, and store the obtained historical information in the information database through the historical path information capture module and the historical eye information tracking module;

[0013] Step S3: Based on the historical information database, statistically analyze the attractiveness of the content of each display section of the information service platform to community members;

[0014] Step S4: The live collection module runs synchronously to capture in real time the path information of community members passing by near the information service platform and track the eye information of community members viewing the information service platform;

[0015] Step S5: Transmit the historical information section attractiveness and the captured live community member information to the information section adjustment module through the data transmission module;

[0016] Step S6: When the live collection module captures a community member, the pedestrian prediction and analysis module is activated, and based on the captured path information of the community member, predict the area where the eye stays for the first time on the platform when the community member stops to view the information service platform;

[0017] Step S7: Finally, according to the prediction results, adjust the positions and sizes of the various information sections displayed on the information service platform, so that when community members approach the information service platform from any direction, they can preferentially view the information section with the highest attractiveness, and at the same time ensure that pedestrians passing by near the information service platform can view the content of the information section with the highest attractiveness.

[0018] According to the above technical solution, the specific working process of statistically analyzing the attractiveness of the content of each display section of the information service platform in step S3 includes the following steps:

[0019] Step S31: Retrieve all the information collected in the historical information database, obtain the path information of community members, and fit the path route of community members;

[0020] Step S32: Make an effective viewing area P for viewing information based on the top-down view of the community information service platform, and according to the layout of each information section of the community information service platform at that time, divide the effective viewing area P into n groups of information section exclusive areas p = {p1, p2,..., p n};

[0021] Step S33: Based on the currently fitted path route of community members and the divided information section exclusive areas, determine the point A when the fitted route first enters the effective viewing area P, and match the calibration serial number of the information section exclusive area p corresponding to point A in the effective viewing area P as a, where a ∈ [1, n]; output the information section with the calibration serial number a as the position-optimal section in the current statistical period.

[0022] According to the above technical solution, the specific working process of statistically analyzing the attractiveness of the content of each display section of the information service platform to community personnel in step S3 further includes the following steps:

[0023] Step S34: Continue to retrieve the eye information of the target community personnel viewing the information service platform from the historical information database, and match the information section viewed by the community personnel according to the eye information and the layout of each information section of the community information service platform at that time;

[0024] Step S35: The timing module times the duration of the target community personnel viewing the corresponding information section, and finally obtains the set T of the viewed durations of each information section statistically counted by the target community personnel during the current statistical period, T = {T1, T2,..., T n}, where T i (i = 1, 2,..., n) represents the duration of the information section numbered i being viewed;

[0025] Step S36: Output the distances L = {L1, L2,..., L n} of each section from the optimal position section according to the layout of each information section of the community information service platform during the current statistical period, where L i (i = 1, 2,..., n) represents the distance from the information section numbered i to the optimal position section, and among them, L a is 0; then through the formula X i = α·T i (L i + b) analyze and calculate the attractiveness value of the content of each display section to community personnel, where α is a coefficient, b is a control parameter, and both α and b are constants greater than 0;

[0026] Step S37: Repeat steps S31 - S36, statistically analyze the complete data of the community personnel viewing the information service platform collected each time in the historical information database, and then accumulate the set X = {X1, X2,..., X n} of the attractiveness of the content of each display section to community personnel obtained from each statistical analysis to obtain the attractiveness {X p1 , X p2 ,..., X pn} of each section, where X pi (i = 1, 2,..., n) represents the total attractiveness of the content of the information section numbered i in the historical information database to community personnel.

[0027] According to the above technical solution, in step S6, the specific working process of the pedestrian prediction and analysis module includes the following steps:

[0028] Step S61: Based on the top-down view of the community information service platform, an effective prediction area Q for viewing information is made. The area Q is obtained by equally scaling up the area P. At the same time, the n groups of information section exclusive areas p = {p1, p2,..., p n} are equally scaled up to obtain n groups of effective prediction information section exclusive areas q = {q1, q2,..., q n};

[0029] Step S62: The community personnel trajectories captured by the live collection module are obtained in real time. Based on the top-down view of the information service platform and the plane where the effective viewing area P is located, the community personnel trajectory lines are dynamically fitted on the plane;

[0030] Step S63: When the fitted community personnel trajectory line enters the effective prediction area Q, determine the effective prediction information section exclusive area c where it is located, where c ∈ [1, n]; Output the information section with the calibration serial number c as the area where the eyes of the predicted community personnel stay on the platform for the first time when viewing the information service platform.

[0031] According to the above technical solution, the step S7 further includes:

[0032] Step S71: Based on the calibration serial number c corresponding to the area where the predicted community personnel stay for the first time, extract the attraction value X p1 of the information section with the corresponding serial number c from the set of attractions of each information section {X p2 、X pn} obtained from historical statistical analysis; pc ;

[0033] Step S72: If X pc is the maximum value of the attraction values of all current information sections, then through the section position arrangement module, the information section with the calibration serial number c is fixedly displayed at the corresponding position of the prediction area q c , and according to the community personnel movement speed captured in real time, the display area size is dynamically adjusted through the section size adjustment module, where the community personnel movement speed is positively correlated with the display area size;

[0034] Step S73: If X pc is not the maximum value, then according to the attraction value sorting result, the information section k with the highest attraction (X pk = max{X p1 、X p2 、…、X pn}) is swapped with the information section with the calibration serial number c, and the display area size of the section k is set to the preset maximum value through the section size adjustment module, and at the same time, the section k is dynamically scaled according to the community personnel movement speed;

[0035] Step S74: Finally, arrange the other information sections in the remaining area in descending order of the attraction value, around the area where the eyes of community members first stay on the platform, and the display area size is proportionally allocated according to the proportion of its attraction value.

[0036] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By collecting the path and eye information of community members in real time and combining historical data analysis, the present invention intelligently adjusts the position and size of the information sections, thereby improving the attention and usage efficiency of community members to the information service platform, and enhancing the intelligent and personalized level of community services. Brief Description of the Drawings

[0037] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

[0038] In the drawings:

[0039] Figure 1 is a schematic diagram of the system module composition of the present invention. Detailed Embodiments

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] Please refer to Figure 1 , the present invention provides a technical solution: An Internet-based intelligent community information service platform, including an information section attraction analysis module, a live collection module, and an information section adjustment module. The information section attraction analysis module is used to analyze the attraction of the content of each display section of the information service platform to community members according to the data of community members viewing the information service platform collected historically. The live collection module is used to collect the information of community members passing by near the information service platform in real time. The information section adjustment module is used to intelligently adjust the display position and display area size of each information section in the information service platform according to the historical information section attraction and the live information of community members. Both the information section attraction analysis module and the live collection module are electrically connected to the information section adjustment module; By collecting the path and eye information of community members in real time and combining historical data analysis, the present invention intelligently adjusts the position and size of the information sections, thereby improving the attention and usage efficiency of community members to the information service platform, and enhancing the intelligent and personalized level of community services.

[0042] The information section attractiveness analysis module includes a section information division module, a historical path information capture module, a historical eye gaze information tracking module, a timing module, and a sorting module. The section information division module is used to divide the information content displayed on the information service platform into n groups of information sections according to different information subjects. The historical path information capture module is used to obtain the historical path information of community members passing by. The historical eye gaze information tracking module is used to obtain the historical eye gaze information of community members viewing the information service platform, and determine the corresponding information section on the information service platform according to the eye gaze information. The timing unit is used to count the cumulative viewing duration of each group of historical information sections by community members. The sorting module is used to sort the display priorities according to the attractiveness of each display section to community members.

[0043] The live collection module includes a pedestrian capture module and an eye gaze tracking module. The pedestrian capture module is used to capture the path information of community members passing by near the information service platform in real time. The eye gaze tracking module is used to track the eye gaze information of community members viewing the information service platform.

[0044] The pedestrian capture module further includes a path capture sub-module and a speed capture sub-module. The path capture sub-module is used to capture the trajectory of community members. The speed capture sub-module is used to capture the walking speed of community members.

[0045] The information section adjustment module further includes a data transmission module, a pedestrian prediction and analysis module, a section position arrangement module, and a section size adjustment module. The data transmission module is used to obtain the historical information section attractiveness and the collected live community member information. The pedestrian prediction and analysis module is used to predict the area where the eyes of community members will stay on the platform for the first time when they stop to view the information service platform according to the captured path information of community members. The section position arrangement module is used to perform sequential matching according to the priority of the display section and the priority of the area where the eyes of community members viewing the information stay on the platform, and arrange the section positions. The section size adjustment module is used to adjust the size of the section display area according to the captured walking speed of community members.

[0046] The operation method of the intelligent community information service platform includes:

[0047] Step S1: Deploy the information service platform in the community public area. According to different information subjects, use the section information division module to divide the information content displayed on the information service platform into n groups of information sections, and sequentially assign a calibration serial number to each group of information sections. The calibration serial number set is {1, 2,..., n} to display different information subjects;

[0048] Step S2: Establish a historical information database, and store the obtained historical information in the information database through the historical path information capture module and the historical eye gaze information tracking module;

[0049] Step S3: Based on the historical information database, statistically analyze the attractiveness of the content of each display section of the information service platform to community members;

[0050] Step S4: The live collection module runs synchronously to capture in real time the path information of community members passing by near the information service platform and track the eye movement information of community members viewing the information service platform;

[0051] Step S7: Finally, according to the prediction results, adjust the positions and sizes of the various information sections displayed on the information service platform, so that when community members approach the information service platform from any direction, they can preferentially view the information section with the highest attractiveness, and at the same time ensure that passers-by passing by near the information service platform can view the content of the information section with the highest attractiveness.

[0052] Step S6: When the live collection module captures a community member, the pedestrian prediction and analysis module is activated, and based on the captured path information of the community member, predict the area where the eye stays for the first time on the platform when the community member stays to view the information service platform;

[0053] Step S7: Finally, according to the prediction results, adjust the positions and sizes of the various information sections displayed on the information service platform, so that when community members approach the information service platform from any direction, they can preferentially view the information section with the highest attractiveness, and at the same time ensure that passers-by passing by near the information service platform can view the content of the information section with the highest attractiveness.

[0054] The specific working process of statistically analyzing the attractiveness of the content of each display section of the information service platform to community members in Step S3 includes the following steps:

[0055] Step S31: Retrieve all the information collected in the historical information database, obtain the path information of community members, and fit the path route of community members;

[0056] Step S32: Based on the top-down view of the community information service platform, make an effective viewing area P for viewing information, and according to the layout of each information section of the community information service platform at that time, divide the effective viewing area P into n groups of information section exclusive areas p = {p1, p2,..., p n};

[0057] Step S33: Based on the path route of the currently fitted community personnel and the divided information section exclusive areas, determine the point A when the fitted route first enters the effective viewing area P. Match the calibration serial number a corresponding to the information section exclusive area p corresponding to point A within the effective viewing area P, where a ∈ [1, n]; output the information section with the calibration serial number a as the optimal position section in the current statistical period; the optimal position section means that when the target community personnel stay and view the information service platform, the possibility that the target community personnel first view the optimal position section is the greatest, because the position where the optimal position section is displayed is just at the moment when the community personnel walk into the effective viewing area from afar and is the position that is most easily seen at the first time; by outputting the optimal position section, when statistically analyzing the attractiveness of the content of each display section of the information service platform to the community personnel, the influence on the cumulative viewing time caused by the position advantage displayed during the statistical period can be effectively considered.

[0058] The specific working process of statistically analyzing the attractiveness of the content of each display section of the information service platform in Step S3 also includes the following steps:

[0059] Step S34: Continue to retrieve the eye movement information of the target community personnel viewing the information service platform from the historical information database, and match the information section viewed by the community personnel according to the eye movement information and the layout of each information section of the community information service platform at that time;

[0060] Step S35: The timing module times the duration of the target community personnel viewing the corresponding information section, and finally obtains the set T = {T1, T2,..., T n} of the viewed durations counted for each information section by the target community personnel during the current statistical period, where T i (i = 1, 2,..., n) represents the duration of the information section with the serial number i being viewed;

[0061] Step S36: Output the distances L = {L1, L2,..., L n} of each section from the optimal position section according to the layout of each information section of the community information service platform during the current statistical period, where L i (i = 1, 2,..., n) represents the distance from the information section with the serial number i to the optimal position section, and among them, L a is 0; then through the formula X i = α · T i (L i + b), analyze and calculate the attractiveness value of the content of each display section to the community personnel, where α is a coefficient, b is a control parameter, and both α and b are constants greater than 0; in the formula, the attractiveness value X iIn addition to being related to the viewing duration of community members, it is also related to the distance to the most optimal section. When the viewing time is the same, the greater the distance, the greater the attraction value of the corresponding section. Thus, when community members enter the community information service platform, the problem of analyzing the attraction of sections affected by location, which is caused by the random viewing and the area where the eyes first stay and its nearby sections, is effectively eliminated. By comprehensively considering the location advantage and content attraction, the accuracy of the analysis is improved;

[0062] Step S37: Repeat steps S31 - S36, conduct statistical analysis on the complete data of each time when community members view the information service platform collected in the historical information database, and then accumulate the attraction sets X = {X1, X2, …, X n} of the content of each display section in each statistical analysis to obtain the attraction of each section {X p1 , X p2 , …, X pn}, where X pi (i = 1, 2, …, n) represents the total attraction of the content of the information section with the serial number i in the historical information database to community members.

[0063] In step S6, the specific working process of the pedestrian prediction analysis module includes the following steps:

[0064] Step S61: Based on the top - down view of the community information service platform, make an effective prediction area Q for predicting the viewed information, where area Q is obtained by equi - proportionally magnifying area P. At the same time, the n groups of information section exclusive areas p = {p1, p2, …, p n} corresponding to the effective viewing area P are magnified in the same proportion to obtain n groups of effective prediction information section exclusive areas q = {q1, q2, …, q n};

[0065] Step S62: Real - time obtain the trajectories of community members captured by the live collection module, and based on the top - down view of the information service platform made and the plane where the effective viewing area P is located, dynamically fit the trajectory lines of community members on the plane;

[0066] Step S63: When the fitted trajectory line of community members enters the effective prediction area Q, determine the effective prediction information section exclusive area c where it is located, where c ∈ [1, n]; output the information section with the calibration serial number c as the area where the eyes of community members first stay on the platform when predicting their stay and viewing the information service platform. By real - time capturing the trajectories and eye information of community members, predict the behavior of community members and provide a real - time basis for adjusting information sections.

[0067] Step S7 further includes:

[0068] Step S71: Based on the calibration serial number c corresponding to the area where the community personnel stay for the first time, extract the attraction value X p1 of the information section with the serial number c from the set of attractions of each information section {X p2 , X pn , …, X pc} obtained from historical statistical analysis;

[0069] Step S72: If X pc is the maximum value of the attraction values of all current information sections, then the information section with the calibration serial number c is fixedly displayed at the position corresponding to the prediction area q c through the section position arrangement module, and the size of its display area is dynamically adjusted through the section size adjustment module according to the real-time captured movement speed of the community personnel, where the movement speed of the community personnel is positively correlated with the size of the display area; when the movement speed of the community personnel is captured to be relatively fast, the information section with the greatest attraction to the community personnel can be adjusted to a larger display area, so that some people who even pass by the intelligent community information service platform quickly can quickly scan the information summary of this section without having to stop to know the information therein;

[0070] Step S73: If X pc is not the maximum value, then according to the sorting result of the attraction values, the information section k with the highest attraction (X pk = max{X p1 , X p2 , …, X pn}) is replaced with the information section with the calibration serial number c in position, and the size of the display area of section k is set to the preset maximum value through the section size adjustment module, and section k is dynamically scaled according to the movement speed of the community personnel;

[0071] Step S74: Finally, the other information sections are arranged in the remaining areas in descending order of attraction values around the area where the community personnel's eyes stay on the platform for the first time, and the size of the display area is proportionally allocated according to the proportion of their attraction values; according to historical statistics and real-time prediction results, the positions and sizes of the information sections are intelligently adjusted to maximize the attention of the community personnel and improve the information transmission efficiency of the information service platform, so that the community personnel can obtain the required information more conveniently and quickly.

[0072] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0073] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An Internet-based smart community information service platform, characterized by: The smart community information service platform includes an information section attraction analysis module, a real-time acquisition module and an information section adjustment module. The information section attraction analysis module is used to view the data of the information service platform based on the historical collection of community personnel, and analyze the attractiveness of the contents of each display section of the information service platform to the community personnel. The real-time acquisition module is used to collect the information of the community personnel passing by near the information service platform in real time. The information section adjustment module is used to intelligently adjust the display position and display area size of each information section in the information service platform according to the historical information section attraction and the real-time information of the community personnel. The information section attraction analysis module and the real-time acquisition module are both electrically connected to the information section adjustment module.

2. The Internet-based smart community information service platform according to claim 1, characterized in that: The information section attractiveness analysis module includes a section information division module, a historical path information capture module, a historical eye information tracking module, a timing module and a sorting module. The section information division module is used to divide the information content displayed on the information service platform into n groups of information sections according to different information subjects. The historical path information capture module is used to obtain historically captured path information of community personnel. The historical eye information tracking module is used to obtain historically tracked eye information of community personnel viewing the information service platform, and determine whether they view the corresponding information section in the information service platform based on the eye information. The timing unit is used to count the cumulative time that each group of information sections has been viewed by community personnel in history. The sorting module is used to sort the display priorities of the attractiveness of each display section to community personnel based on the content of each display section.

3. The Internet-based smart community information service platform according to claim 1, characterized in that: The real-time acquisition module includes a pedestrian capture module and an eye tracking module. The pedestrian capture module is used to capture the path information of community personnel passing near the information service platform in real time, and the eye tracking module is used to track the eye information of community personnel viewing the information service platform.

4. The Internet-based smart community information service platform according to claim 3, characterized in that: The pedestrian capture module further includes a path capture submodule and a speed capture submodule. The path capture submodule is used to capture the trajectory of community personnel, and the speed capture submodule is used to capture the movement speed of community personnel.

5. The Internet-based smart community information service platform according to claim 1, characterized in that: The information section adjustment module includes a data transmission module, a pedestrian prediction and analysis module, a section position arrangement module, and a section size adjustment module. The data transmission module is used to obtain the attraction of historical information sections and the collected real-time community personnel information. The pedestrian prediction and analysis module is used to predict the area on the platform where community personnel's eyes will first stay when they stop to view the information service platform based on the captured community personnel path information. The section position arrangement module is used to match the order according to the priority of the display section and the priority of the area on the platform where the community personnel's eyes are predicted to stay when viewing the information service, and arrange the section position. The section size adjustment module is used to adjust the size of the section display area according to the captured community personnel's movement speed.

6. The Internet-based smart community information service platform as described in any one of claims 1 to 5 is applied, characterized in that: The operation method of the smart community information service platform includes: Step S1: deploy the information service platform in the community public area, divide the information content displayed on the information service platform into n groups of information blocks according to different information subjects using the block information division module, and give each group of information blocks a calibration sequence number in turn, and the calibration sequence number set is {1, 2, ..., n} to display different information subjects; Step S2: Establish a historical information database, and store the acquired historical information in the information database through the historical path information capturing module and the historical eye gaze information tracking module; Step S3: Based on the historical information database, statistically analyze the attractiveness of the contents of each display section of the information service platform to community members; Step S4: The live collection module runs synchronously to capture the path information of community personnel passing near the information service platform and track the eye information of community personnel viewing the information service platform in real time; Step S5: transmitting the historical information section attraction and the collected live community personnel information to the information section adjustment module through the data transmission module; Step S6: When the live-viewing acquisition module captures a community member, the pedestrian prediction and analysis module is started to predict the area where the community member's eyes first stay on the information service platform when the community member stops to view the information service platform based on the captured path information of the community member; Step S7: Finally, according to the prediction results, the position and size of each information section displayed on the information service platform are adjusted so that when community members walk to the information service platform from any direction, they can view the most attractive information section first, while ensuring that pedestrians passing by the information service platform can view the content of the most attractive information section.

7. The Internet-based smart community information service platform according to claim 6, characterized in that: The specific working process of statistically analyzing the attractiveness of the contents of each display section of the information service platform to community members in step S3 includes the following steps: Step S31: Retrieve all collected information from the historical information database, obtain the path information of community members, and fit the path route of community members; Step S32: Based on the bird's-eye view of the community information service platform, an effective viewing area P for viewing information is determined, and according to the layout of each information section of the community information service platform at that time, the effective viewing area P is divided into n groups of information section exclusive areas p = {p1, p2, ..., p n }; Step S33: Based on the currently fitted path route of the community personnel and the divided information section exclusive area, determine the point A when the fitted route first enters the effective viewing area P, and the calibration number corresponding to the information section exclusive area p corresponding to the matching point A in the effective viewing area P is a, where a∈[1,n]; the information section with the output calibration number a is the optimal section in the current statistical period.

8. The Internet-based smart community information service platform according to claim 7, characterized in that: The specific working process of statistically analyzing the attractiveness of the contents of each display section of the information service platform to community members in step S3 also includes the following steps: Step S34: continue to retrieve the eye contact information of the target community members viewing the information service platform from the historical information database, and match the information section viewed by the community members according to the eye contact information and the layout of each information section of the community information service platform at that time; Step S35: The timing module counts the time that the target community members view the corresponding information section, and finally obtains the viewing time set T = {T1, T2, ..., T n }, where T i (i=1, 2, ..., n) indicates the length of time that the information section with sequence number i is viewed; Step S36: Output the distance L of each information section from the optimal section according to the layout of each information section of the community information service platform in the current statistical period. n }, where L i (i=1, 2, ..., n) represents the distance from the information block with serial number i to the optimal block, where L a is 0; then by formula X i =α·T i (L i + b) Analyze and calculate the attractiveness of the content of each display section to community members, where α is the coefficient and b is the control parameter. Both α and b are constants greater than 0; Step S37: Repeat steps S31-S36 to perform statistical analysis on the complete data collected from the historical information database each time when community members browse the information service platform, and then calculate the attractiveness of the content of each display section to community members as a set X = {X1, X2, ..., X n } to accumulate the attractiveness of each section {X p1 , X p2 , …, X pn }, where X pi (i=1, 2, ..., n) represents the total appeal of the content of the information section with serial number i in the historical information database to community members.

9. The Internet-based smart community information service platform according to claim 7, characterized in that: In step S6, the specific working process of the pedestrian prediction and analysis module includes the following steps: Step S61: Based on the bird's-eye view of the community information service platform, an effective prediction area Q is predicted for information viewing, where area Q is obtained by proportionally enlarging area P, and the effective viewing area P is correspondingly divided into n groups of information section exclusive areas p = {p1, p2, ..., p n } proportionally enlarge to obtain n groups of valid prediction information section exclusive areas q = {q1, q2, ..., q n }; Step S62: acquiring the community personnel trajectory captured by the live acquisition module in real time, and dynamically fitting the community personnel trajectory line on the plane based on the bird's-eye view of the information service platform and the plane where the effective viewing area P is located; Step S63: When the fitted community member trajectory line enters the valid prediction area Q, determine the exclusive area c of the valid prediction information section, where c∈[1,n]; output the information section with the calibration sequence number c as the area where the community members’ eyes will first stay on the platform when they stop to view the information service platform.

10. The Internet-based smart community information service platform according to claim 6, characterized in that: The step S7 further comprises: Step S71: Based on the calibration sequence number c corresponding to the area where the community members are predicted to stay for the first time, the attraction set {X p1 , X p2 , …, X pn } extract the attractiveness value X of the information section with the corresponding serial number c pc ; Step S72: If X pc is the maximum value of the attraction value of all current information blocks, then the information block with the marked sequence number c is fixedly displayed in the prediction area q through the block position arrangement module c The corresponding position, and according to the real-time captured speed of community personnel, dynamically adjust the size of its display area through the section size adjustment module, where the speed of community personnel is positively correlated with the size of the display area; Step S73: If X pc If it is not the maximum value, the information section k (X pk =max{X p1 , X p2 , …, X pn }) Replace the position of the information block with the calibration sequence number c, and set the display area size of block k to the preset maximum value through the block size adjustment module, and dynamically scale block k according to the speed of community personnel; Step S74: Finally, other information sections are arranged in the order of attraction values ​​from high to low, around the area where community members' eyes first stop on the platform, and the size of the display area is proportionally allocated according to the proportion of its attraction value.

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