WO2024077770A1

WO2024077770A1 - Digital smart service platform for village

Info

Publication number: WO2024077770A1
Application number: PCT/CN2022/140521
Authority: WO
Inventors: 孙大庆; 姜虹兵
Original assignee: 菁农(江苏)信息技术有限公司
Priority date: 2022-10-09
Filing date: 2022-12-21
Publication date: 2024-04-18
Also published as: CN115797125A; CN115797125B

Abstract

A digital smart service platform for a village, comprising: an acquisition module, used for acquiring village information of a target village; a determination module, used for determining a visual service interface on the basis of a preset visual template library and the village information; and an output module, used for outputting and displaying the visual service interface. A manager in a village can understand village information of the village by means of the visual service interface, without the need of interaction with multiple persons in the village who are responsible for collecting and sorting the village information, so that the convenience is improved; in addition, when viewing the visual service interface, the manager can perform overall viewing to intuitively understand the village information, so that the convenience is further improved, and the management efficiency of the manager is improved.

Description

A rural digital smart service platform

Technical Field

The present invention relates to the field of cloud platform technology, and in particular to a rural digital smart service platform.

Background technique

At present, when managers in villages want to know rural information (for example, tourist information and rural industry information, etc.), they need to connect with multiple people in the village who are responsible for collecting and collating rural information, which is rather cumbersome. In addition, the rural information obtained when connecting with the collectors is mostly in the form of text reports, which requires managers to read them one by one. It is less convenient and lacks intuitiveness. Managers are also unable to view the overall situation, which will reduce their management efficiency to a certain extent.

Therefore, a solution is urgently needed.

Summary of the invention

One of the purposes of the present invention is to provide a rural digital smart service platform, whereby managers in the village can understand the rural information of the village through a visual service interface without having to connect with multiple people in the village who are responsible for collecting and collating the rural information, thereby improving convenience. In addition, when managers view the visual service interface, they can conduct a global view and intuitively understand the rural information, thereby further improving convenience and improving the management efficiency of managers.

An embodiment of the present invention provides a rural digital smart service platform, including:

An acquisition module is used to acquire village information of a target village;

A determination module, used to determine a visualization service interface based on a preset visualization template library and the village information;

The output module is used to output and display the visual service interface.

Preferably, the acquisition module acquires the village information of the target village, including:

Obtain tourism information of target villages and use it as village information;

and / or,

Obtain the industry information of the target villages and use it as village information;

and / or,

Obtain introductory information of the target village and use it as village information;

and / or,

Obtain the village affairs management information of the target village and use it as village information.

Preferably, the tourism information includes one or more combinations of: today's passenger flow, today's vehicle flow, total number of tourists received, tourist source areas, passenger and vehicle flow monitoring videos, weekly statistical curves of tourist volume, and seasonal distribution of tourists.

Preferably, the industrial information includes one or more combinations of: industrial resource distribution, agricultural output value and income, agricultural greenhouse base details, annual output value of various types of crops, annual income from crop planting, and hot-selling product rankings.

Preferably, the introduction information includes: population size, population age structure distribution, villagers' living distribution, land property statistics, party branch composition, party members' gender ratio, epidemic prevention and control information, celebrities and events, rural activities, rural news, rural past deeds, meteorological information, water quality monitoring and alarm information, PM monitoring information, negative oxygen ion monitoring information, natural disaster prediction information, and one or more combinations of rural GIS maps.

Preferably, the village affairs management information includes: details of incidents reported by villagers, monthly case handling information, case handling information within a week, monthly case type ratio information, distribution of three meetings and one class, agricultural skills training statistics, agricultural skills training types, village surveillance videos and cleaning staff attendance information, or a combination of one or more of the above.

Preferably, the determining module determines the visualization service interface based on a preset visualization template library and the village information, including:

Classifying the village information to obtain classified information of multiple information types;

Traversing the information types in sequence, and determining a visualization template corresponding to the traversed information type from the visualization template library each time during the traversal;

Based on the visualization template, the classified information of the traversed information type is visualized to obtain a visualization interface, and the preset display priority corresponding to the traversed information type is associated with the visualization interface;

After traversing the information types, the visualization interfaces are spliced from large to small based on the display priorities associated with the visualization interfaces to obtain a visualization service interface.

Preferably, the rural digital smart service platform also includes:

The monitoring module is used to obtain the target scene that needs to be monitored for anti-theft in the target village, and perform anti-theft monitoring on the target scene.

Preferably, the monitoring module obtains the target scene that needs to be monitored for anti-theft in the target village, including:

When villagers in the target village input anti-theft monitoring request information, determine the target scene in the target village that needs anti-theft monitoring based on the anti-theft monitoring request information;

and / or,

When all persons who have entered the activity scene in the target village leave the activity scene, the activity scene is used as a target scene in the target village that needs to be monitored for anti-theft; the activity scene includes: residences, shops, planting areas, entertainment venues and office places.

Preferably, the monitoring module performs anti-theft monitoring on the target scene, including:

Determining an entry position where a person can enter the target scene from a preset scene map corresponding to the target scene;

Acquire a first person portrait and approach time of a person approaching the entry position;

Acquire a preset reasonable approach library corresponding to the target scene, wherein the reasonable approach library includes: multiple groups of one-to-one corresponding approach time intervals and portrait libraries;

Matching the first person portrait with the second person portrait in the portrait library corresponding to the time interval to which the approaching time belongs one by one;

If there is no match, an anti-theft warning is issued based on the first person's portrait and the approach time.

Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

FIG1 is a schematic diagram of a rural digital smart service platform in an embodiment of the present invention;

2 to 8 are exemplary diagrams of visualization interfaces according to embodiments of the present invention.

Detailed ways

The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

The embodiment of the present invention provides a rural digital smart service platform, as shown in FIG1 , including:

An acquisition module 1 is used to acquire village information of a target village;

Determining module 2, used to determine a visualization service interface based on a preset visualization template library and the village information;

The output module 3 is used to output and display the visual service interface.

The working principle and beneficial effects of the above technical solution are:

The preset visualization template library contains visualization templates for various types of rural information, which can convert rural information into visualization interfaces. After the rural information is acquired, the visualization service interface is determined based on the visualization template library and the rural information. The visualization service interface is obtained by converting various types of rural information into visualization interfaces and then splicing the interfaces. The visualization service interface is output and displayed for management personnel to view, providing them with visualization services.

The management personnel in the village of this application can understand the village information through the visual service interface, without having to connect with multiple people in the village who are responsible for collecting and collating the village information, which improves convenience. In addition, when the management personnel view the visual service interface, they can have a global view and intuitively understand the village information, which further improves convenience and improves the management efficiency of the management personnel.

In one embodiment, the acquisition module 1 acquires the village information of the target village, including:

and / or,

The rural information that can be used as the target village includes tourism information, industry information, introduction information and village affairs management information, which enriches the information dimension of rural information and improves the comprehensiveness of rural information acquisition.

In one embodiment, the tourism information includes one or more combinations of today's passenger flow, today's vehicle flow, total number of tourists received, tourist source areas, passenger and vehicle flow monitoring videos, weekly statistical curves of tourist volume, and seasonal distribution of tourists.

Tourism information includes: today's passenger flow, today's vehicle flow, total number of tourists received, tourist source areas, passenger and vehicle flow monitoring videos, and tourist season distribution, etc. Managers can directly view the tourism information in the village.

In one embodiment, the industry information includes one or more combinations of: industry resource distribution, agricultural output value income, agricultural greenhouse base details information, annual output value of each category of crops, annual income from crop planting, and hot-selling product rankings.

Industrial information includes: industrial resource distribution, agricultural output value and income, and hot-selling product rankings, etc. Introduction information includes: celebrities and events, rural activities, weather information, and rural maps, etc. Managers can directly view the industrial information in the village.

In one embodiment, the introduction information includes: population size, population age structure distribution, villagers' living conditions distribution, land property statistics, party branch composition, party members' gender ratio, epidemic prevention and control information, celebrities and events, rural activities, rural news, rural past deeds, meteorological information, water quality monitoring and alarm information, PM monitoring information, negative oxygen ion monitoring information, natural disaster prediction information, and rural GIS map, or a combination of one or more of them.

The introduction information includes: population size, population age structure distribution, villagers’ living situation distribution and land nature statistics, etc. Managers can directly view the introduction information of the village.

In one embodiment, the village affairs management information includes: details of events reported by villagers, monthly case handling information, case handling information within a week, monthly case type ratio information, distribution of three meetings and one class, agricultural skills training statistics, agricultural skills training types, village surveillance videos and cleaning staff attendance information, one or more combinations thereof.

Village affairs management information includes: details of incidents reported by villagers, village surveillance videos, and cleaning staff attendance, etc. Managers can directly view the village affairs management information in the village.

In one embodiment, the determining module 2 determines the visualization service interface based on a preset visualization template library and the village information, including:

Classify rural information into classified information of multiple information types. Information types include tourism, industry, introduction and village affairs management. The visualization template library contains visualization templates corresponding to each information type. There are multiple interface areas to be filled in the visualization template. Based on the visualization template, the classified information is visualized to obtain a visualization interface, as shown in Figures 2 to 8. Each information type corresponds to a preset display priority, which can be set by management personnel. The higher the display priority, the higher the visualization interface of the corresponding information type is ranked when the interface is spliced. The visualization interface is spliced based on the display priority to obtain a visualization service interface. The introduction of the visualization template library improves the generation efficiency of the visualization interface. The introduction of display priority is more user-friendly.

In one embodiment, the rural digital smart service platform further includes:

Thefts are prone to occur in villages. Generally, a monitoring room is set up in the village, and a monitoring staff is arranged in the monitoring room to perform anti-theft monitoring based on the monitoring video sent back by the monitoring equipment in the village. However, the monitoring staff cannot stare at every video screen all the time, and the comprehensiveness and timeliness of the anti-theft monitoring are low. Therefore, the embodiment of the present invention obtains the target scene that needs to be monitored for anti-theft in the target village, and performs anti-theft monitoring on it. The system performs anti-theft monitoring automatically without manual operation, thereby improving the comprehensiveness and timeliness of anti-theft monitoring.

In one embodiment, the monitoring module obtains the target scene that needs to be monitored for anti-theft in the target village, including:

and / or,

There are two ways to obtain the target scene that needs anti-theft monitoring in the target village: 1. Villagers input anti-theft monitoring request information according to their needs. For example, when villagers are away from home for a long time, their own residence needs anti-theft monitoring. Based on the mobile phone, input "xx residence needs anti-theft monitoring" as the anti-theft monitoring request information. 2. When all the people who enter the activity scene in the target village leave, the activity scene is unmanned and anti-theft monitoring is required. Activity scenes include villagers' residences, shops run by villagers themselves, villagers' planting areas (farmland, plantations, etc.), entertainment venues in the village (KTV and cinemas, etc.) and office places (village branches, etc.). Whether all people have left can be determined based on the surveillance camera next to the entrance and exit of the activity scene. The surveillance camera records once when a person enters the entrance and exit, and records once when the person exits the entrance and exit. The two records determine whether the person has left. For example, when all villagers leave home, the system automatically takes their home as the target scene. Another example: after the villagers' shop is closed, the system automatically takes their shop as the target scene. The target scenes that need anti-theft monitoring can be input by the villagers themselves, and can also be determined based on the entry and exit of people in the activity scene, which improves the humanization and can better provide anti-theft monitoring services for the villagers.

In one embodiment, the monitoring module performs anti-theft monitoring on the target scene, including:

The preset scene map corresponding to the target scene is the scene structure map of the target scene, such as: a house structure map and a planting area structure map. From the scene map, determine the entry position where a person can enter the target scene, such as: the entrance and exit position and the wall fence position, etc. When a person approaches the entry position, obtain the first person portrait and approach time. There are multiple groups of one-to-one corresponding approach time intervals and portrait libraries in the preset reasonable approach library corresponding to the target scene. The portrait library has a second person portrait of a reasonable person who approaches the target scene within its corresponding approach time interval. For example, if the target scene is a villager's residence, then if the person who approaches the residence in the middle of the night is not a villager or a villager's relative, it is a suspicious approach. The approach time interval is a certain midnight time period, and the corresponding portrait library only has portraits of villagers or villagers' relatives. The first person portrait is matched one by one with the second person portrait in the portrait library corresponding to the time interval to which the approach time belongs. If they do not match, it means that the approaching person approaches at an abnormal time. Based on the first person portrait and approach time of the approaching person, an anti-theft warning is performed.

Generally, thieves will try to enter the target scene from any position that allows them to enter the target scene. The embodiment of the present invention determines the entry position and whether there are approaching persons close to the entry position. It does not monitor only the entrances and exits of the target scene, thereby improving the rationality and comprehensiveness of anti-theft monitoring. In addition, a preset approach reasonable library corresponding to the target scene is introduced to quickly determine whether the approaching person approaches the target scene at an abnormal time, thereby improving the monitoring efficiency of anti-theft monitoring and further improving the applicability of anti-theft monitoring in different scenarios.

In one embodiment, the monitoring module obtains a first person portrait and approach time of a person approaching the entry position, including:

Determine the image monitoring devices within a preset range around the target scene from the image monitoring device distribution map corresponding to the target village;

Acquire a first person image of a monitored person monitored by the image monitoring device;

Based on the first person image, determining the person trajectory of the monitored person; the person trajectory includes: multiple groups of one-to-one corresponding trajectory points, trajectory point directions and trajectory point generation time;

Based on the personnel trajectory, predict whether the monitored personnel is close to the entry position;

If so, the monitored person is regarded as a close person, and the generation time of the trajectory point of the trajectory point where the trajectory of the person's trajectory ends is regarded as the close time.

The image monitoring equipment distribution map corresponding to the target village has the locations of each monitoring camera in the target village. The preset range is, for example, within 20 meters around. The image monitoring equipment within the preset range around the target scene is determined from the image monitoring equipment distribution map. When the monitoring device monitors the first person image of the monitored person, the person trajectory of the monitored person is determined based on the first person image. The monitored person is a person who enters the monitoring range of the monitoring device. The person trajectory includes multiple groups of one-to-one corresponding trajectory points, trajectory point directions and trajectory point generation time. The trajectory point can be determined after the person position is determined based on the first person image. The trajectory point direction is the moving direction of the monitored person at the trajectory point. The moving direction can be determined based on the first person image of the continuous frame. The trajectory point generation time is the generation time of the corresponding first person image of the determined trajectory point. Based on the person trajectory, it is determined whether the monitored person is close to the entry position. If so, it is regarded as a close person, and the trajectory point generation time of the trajectory point where the trajectory of the person trajectory ends is regarded as the close time.

Generally, determining whether a monitored person is close to the entry position is to determine the distance between the monitored person and the entry position, and determining that the person is close when the distance is less than a certain value. However, the timeliness of determination by this method is low, and a determination is made only when the monitored person is really close. If the monitored person really has the intention to steal, the target scene may be stolen. The embodiment of the present invention determines the trajectory of the monitored person based on the image of the monitored person captured by the monitoring equipment around the target scene, and based on the trajectory of the monitored person, predicts whether the monitored person will be close to the entry position, and makes a determination in advance, thereby improving the timeliness of determining that the person is close, facilitating timely response to the warning after the warning, and minimizing property damage as much as possible.

In one embodiment, the monitoring module predicts whether the monitored person is close to the entry position based on the person trajectory, including:

Determine a target trajectory point among the trajectory points whose straight-line distance to the entry position is less than or equal to a preset straight-line distance threshold;

Determining a direction angle based on the direction of the trajectory point corresponding to the target trajectory point and the direction of a straight line from the target trajectory point to the entry position;

Determine the determination value corresponding to the direction angle based on a preset direction angle-determination value library corresponding to the straight-line distance between the target trajectory point and the entry position;

If the sum of the determination values of the determination values is greater than or equal to the preset determination value and threshold, it is determined that the monitoring person is close to the entry position.

The preset straight-line distance threshold can be, for example, 15 meters. First, based on the straight-line distance threshold, the target trajectory points close to the entry position are screened out. In general, if the moving direction of the monitored personnel at the target trajectory point more represents their movement toward the entry position, the smaller the direction angle. A preset direction angle-judgment value library corresponding to the straight-line distance between the target trajectory point and the entry position is introduced, in which there are judgment values corresponding to different direction angles. In general, the smaller the straight-line distance between the target trajectory point and the entry position, if the moving direction of the target trajectory point more represents its movement toward the entry position, that is, the smaller the direction angle, the more it can be said that the monitored personnel may be close to the entry position, and the corresponding judgment value is larger. The judgment value is determined by checking the library, and the judgment value is accumulated and calculated to obtain the sum of the judgment values. If the sum of the judgment values is greater than or equal to the preset judgment value and threshold, it is determined that the monitored personnel is close to the entry position.

The embodiment of the present invention introduces a preset direction angle-judgment value library corresponding to the straight-line distance between the target trajectory point and the entry position, determines the judgment value corresponding to the direction angle generated when the monitored personnel is at different trajectory points, which is used to determine whether they may be close to the entry position, thereby improving the accuracy and efficiency of the prediction.

In one embodiment, the monitoring module performs anti-theft warning based on the first person portrait and the approach time, including:

Based on a preset anti-theft warning information generation template, the anti-theft warning information is generated according to the first person portrait and the approach time;

Delivering the anti-theft warning information to a preset warning node corresponding to the target scene;

Tracking and acquiring an image of a second person close to the person;

Based on the second person image, determining a first approach-generating behavior of the approaching person;

Matching the first approach-generating behavior with a second approach-generating behavior in a preset behavior determination library corresponding to the scene type of the target scene one by one;

If there is a match and/or the early warning node replies to the alarm request information, an online alarm is performed.

The template for generating anti-theft warning information is, for example: "xx person's portrait is approaching your residence at xx time, please pay attention". Based on the first person's portrait and the approach time, the anti-theft warning information is generated. The preset warning node corresponding to the scene type of the target scene (residence and store, etc.) is the smart terminal used by the victim if the target scene is stolen, such as: the owner of the house, etc. The anti-theft warning information is delivered to the warning node for viewing and timely understanding. The image of the second person approaching the person is tracked and obtained. When tracking and obtaining, it can be obtained based on the surveillance cameras around the entry location. Based on the second person image, according to the behavior recognition technology, the first approaching behavior of the approaching person is determined. The preset behavior judgment library corresponding to the scene type of the target scene has a second approaching behavior indicating that the approaching person is about to commit theft, such as: breaking the door, looking around, and climbing over the wall. The first approaching behavior is matched one by one with the second approaching behavior. If the match is met and/or the warning node replies to the alarm request information (for example: the owner of the house sees and requests an alarm), an online alarm is made. When an online alarm is made, an alarm message can be sent to the 110 terminal, etc.

The embodiment of the present invention introduces a preset behavior judgment library corresponding to the scene type of the target scene, which improves the system's ability and timeliness in judging whether a nearby person is about to commit theft. When it is determined that theft is about to occur, an alarm is issued in time, thereby improving safety.

In one embodiment, the rural digital smart service platform further includes:

A drainage template, used for attracting tourists to the target villages;

The traffic diversion module diverts tourism to the target village, including:

Obtaining tourism project information of the target village;

Acquire potential tourist information from a big data platform; the potential tourist information includes: multiple groups of one-to-one corresponding potential tourists, travel expectation information and tourist information;

Performing a satisfaction analysis between the tourism project information and any tourism expectation information to obtain a satisfaction status;

Based on the satisfaction, potential tourists who would like to travel to the target village are determined as targeted tourists;

Based on the tourist information corresponding to the targeted tourist, determining whether the targeted tourist has conditions to travel to the target village within a preset time in the future;

If yes, based on a preset tourism diversion information generation module, generate tourism diversion information according to the tourism project information, and push the tourism diversion information to the targeted tourists;

The traffic diversion module determines potential tourists who want to travel to the target village based on the satisfaction, including:

Input the satisfaction status into the desire-to-go determination model to determine whether the corresponding potential tourist wants to travel to the target village, and if so, treat the corresponding potential tourist as a potential tourist who would like to travel to the target village;

and / or,

constructing a situation vector corresponding to the satisfied situation;

Get the preset desired vector and vector matching threshold;

Perform vector matching between the situation vector and the desired direction determination vector to obtain a vector matching degree;

If the vector matching degree is greater than or equal to the vector matching degree threshold, the corresponding potential tourist is regarded as a potential tourist who wants to travel to the target village;

The traffic diversion module determines whether the directional tourist is able to travel to the target village within a preset time in the future based on the tourist information corresponding to the directional tourist, including:

Get the preset constraints;

Determine whether the tourist information corresponding to the directional tourist satisfies all the constraint conditions. If so, determine whether the directional tourist is able to travel to the target village within a preset time in the future.

Generally, when villages are attracting tourists, they need to place tourism advertisements on their own. However, the placement of tourism advertisements lacks targeting and the effect of attracting tourists is not good.

The tourism project information of the target village is the introduction information of the tourism projects in the target village, such as: introduction to orchard picking, etc. The big data platform is responsible for collecting potential tourist information, which includes potential tourists who want to travel in the future, tourism expectation information and tourist information. The tourism expectation information is the tourism projects that potential tourists want to play, etc., and the tourist information is the vacation time and location of potential tourists. The tourism project information is analyzed for satisfaction with any tourism expectation information to obtain the satisfaction situation. During the satisfaction analysis, it is determined whether the tourism project information satisfies the tourism expectation information, that is, whether the tourism projects in the target village meet the tourism expectations of potential tourists. Based on the satisfaction situation, potential tourists who want to travel to the target village are determined as directional tourists. Prepare to make travel recommendations to directional tourists.

The preset time is, for example, 3 days. In general, the sending of tourism recommendation information is random. Potential tourists may not be able to travel to the target village within the preset time in the future. For example, there are no holidays in the next 3 days, and the location is far away from the target village. Therefore, random recommendations may result in invalid recommendations. When recommended again in the future, it may also cause rejection by potential tourists. Therefore, based on the tourist information corresponding to the targeted tourists, it is determined whether the targeted tourists are able to travel to the target village within the preset time in the future. If so, based on the preset tourism diversion information generation module, tourism diversion information is generated according to the tourism project information, and the tourism diversion information is pushed to the targeted tourists. There are areas to be filled in for various types of tourism project information on the tourism diversion information generation module. Accurate recommendations are achieved and the tourism diversion effect is improved.

Based on the satisfaction, there are two ways to determine potential tourists who want to go to the target rural tourism: First, input the satisfaction into the want to go determination model for determination. The want to go determination model is a logical process based on a large number of manual determinations of whether the corresponding potential tourists want to go to the target rural tourism based on the satisfaction (for example: basic satisfaction, determine that they want to go). After the neural network model is trained to convergence, it can replace the artificial intelligence model that determines whether the corresponding potential tourists want to go to the target rural tourism based on the satisfaction. Second, introduce the preset want to go determination vector and vector matching threshold. The want to go determination vector is constructed in the form of a vector that can represent the satisfaction of potential tourists who want to go to the target rural tourism. The situation vector is vector-matched with the want to go determination vector to obtain the vector matching degree. If the vector matching degree is greater than or equal to the vector matching degree threshold, the corresponding potential tourist is regarded as a potential tourist who wants to go to the target rural tourism. Improve the applicability of determining potential tourists who want to go to the target rural tourism.

Based on the tourist information corresponding to the targeted tourists, when determining whether the targeted tourists are able to travel to the target village within the preset time in the future, preset constraints are introduced, such as: there are holidays in the next 3 days and the location is close to the target village. Determine whether the tourist information corresponding to the targeted tourists meets all the constraints. If so, determine whether the targeted tourists are able to travel to the target village within the preset time in the future. Improve the accuracy and efficiency of determining whether the targeted tourists are able to travel to the target village within the preset time in the future.

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

Claims

A rural digital smart service platform, characterized by comprising:

An acquisition module is used to acquire village information of a target village;

A determination module, used to determine a visualization service interface based on a preset visualization template library and the village information;

The output module is used to output and display the visual service interface.
The rural digital smart service platform according to claim 1, wherein the acquisition module acquires the rural information of the target village, including:

Obtain tourism information of target villages and use it as village information;

and / or,

Obtain the industry information of the target villages and use it as village information;

and / or,

Obtain introductory information of the target village and use it as village information;

and / or,

Obtain the village affairs management information of the target village and use it as village information.
A rural digital smart service platform as described in claim 2, characterized in that tourism information includes one or more combinations of: today's passenger flow, today's vehicle flow, total number of tourists received, tourist source areas, passenger and vehicle flow monitoring videos, weekly statistical curves of tourist volume, and seasonal distribution of tourists.
A rural digital smart service platform as described in claim 2, characterized in that the industrial information includes: one or more combinations of industrial resource distribution, agricultural output value income, agricultural greenhouse base details information, annual output value of each category of crops, annual income from crop planting and hot-selling product rankings.
A rural digital smart service platform as described in claim 2, characterized in that the introduction information includes: population size, population age structure distribution, villagers' living conditions distribution, land nature statistical information, party branch composition, party member gender ratio, epidemic prevention and control information, celebrities and events, rural activities, rural news, rural past deeds, meteorological information, water quality monitoring and alarm information, PM monitoring information, negative oxygen ion monitoring information, natural disaster prediction information, and rural GIS map One or more combinations thereof.
A rural digital smart service platform as described in claim 2, characterized in that the village affairs management information includes: details of events reported by villagers, monthly case handling information, case handling information within a week, monthly case type ratio information, three meetings and one class distribution, agricultural skills training statistics, agricultural skills training types, rural surveillance videos and cleaning staff attendance information. One or more combinations thereof.
The rural digital smart service platform according to claim 1, wherein the determination module determines the visual service interface based on a preset visual template library and the village information, including:

Classifying the village information to obtain classified information of multiple information types;

Traversing the information types in sequence, and determining a visualization template corresponding to the traversed information type from the visualization template library each time during the traversal;

Based on the visualization template, the classified information of the traversed information type is visualized to obtain a visualization interface, and the preset display priority corresponding to the traversed information type is associated with the visualization interface;

After traversing the information types, the visualization interfaces are spliced from large to small based on the display priorities associated with the visualization interfaces to obtain a visualization service interface.
A rural digital smart service platform according to claim 1, characterized in that it also includes:

The monitoring module is used to obtain the target scene that needs to be monitored for anti-theft in the target village, and perform anti-theft monitoring on the target scene.
The rural digital smart service platform according to claim 8, wherein the monitoring module obtains the target scene that needs to be monitored for anti-theft in the target village, including:

When villagers in the target village input anti-theft monitoring request information, determine the target scene in the target village that needs anti-theft monitoring based on the anti-theft monitoring request information;

and / or,

When all persons who have entered the activity scene in the target village leave the activity scene, the activity scene will be used as a target scene in the target village that requires anti-theft monitoring; the activity scene includes: residences, shops, planting areas, entertainment venues and office places.
The rural digital smart service platform according to claim 8, wherein the monitoring module performs anti-theft monitoring on the target scene, including:

Determining an entry position where a person can enter the target scene from a preset scene map corresponding to the target scene;

Acquire a first person portrait and approach time of a person approaching the entry position;

Acquire a preset reasonable approach library corresponding to the target scene, wherein the reasonable approach library includes: multiple groups of one-to-one corresponding approach time intervals and portrait libraries;

Matching the first person portrait with the second person portrait in the portrait library corresponding to the time interval to which the approaching time belongs one by one;

If there is no match, an anti-theft warning is issued based on the first person's portrait and the approach time.