Data source acquisition method and system applied to digital rural and town grade scale research

Abstract

The invention discloses a data source acquisition method and system applied to digital rural town grade scale research, and relates to the technical field of digital rural town planning, and the method comprises the steps: S1, building a data source acquisition platform, which comprises the steps: building an online platform with data analysis and processing capabilities based on a cloud server, a village and town monitoring and working system is connected; establishing a database in which village and town population information is stored; s2, configuring operation logic for the data source acquisition platform, wherein the operation logic comprises the following steps: acquiring village and town monitoring data from a pre-connected village and town monitoring system; personnel identity recognition is carried out based on the village and town monitoring data, and the identity information of each person appearing in the monitoring data is obtained; marking the identity information of each person based on a predefined label rule; counting the number of people marked as agricultural population to obtain the agricultural population number of the village and town; and S3, applying a data source acquisition platform. The method has the effect of improving the accuracy of digital village and town construction planning work.

Description

Technical Field

[0001] The present application relates to the technical field of digital rural town planning, and in particular to a data source acquisition method and system for digital rural town level and scale research. Background Art

[0002] Digital rural construction refers to the process of using information technology to digitally and intelligently reconstruct rural resources, economy, culture, ecology, population and other factors to improve rural productivity, quality of life and governance capabilities. At present, the core content of the planning of the scale of villages and towns in the digital rural construction plan is mainly divided into village and town scales by qualitative judgment. The basis is to conduct a certain quantitative analysis of the economic and population statistics of each village and town in the region to determine the functions and scale of the village and town system.

[0003] Among them, population data mainly comes from field surveys and statistical yearbooks. The statistics of village and town population are usually collected through field surveys. However, field surveys may lead to inaccurate data acquisition due to factors such as some personnel occasionally being away from home or long survey intervals, and the personnel situation in the villages and towns has changed, thereby affecting the accuracy of village and town construction planning. Therefore, this application proposes a new technical solution. Summary of the invention

[0004] In order to improve the accuracy of digital rural town construction planning work, the present application provides a data source acquisition method and system for digital rural town level and scale research.

[0005] In the first aspect, the present application provides a data source acquisition method for studying the scale of villages and towns, using the following technical solutions:

[0006] A data source acquisition method for studying the scale of villages and towns, comprising:

[0007] S1. Establish a data source acquisition platform, which includes:

[0008] Establish an online platform with data analysis and processing capabilities based on cloud servers and connect it to village and town monitoring and work systems;

[0009] Establish a database storing information on village and town populations;

[0010] S2. Configure the operation logic for the data source acquisition platform, which includes:

[0011] Obtain village and town monitoring data from pre-connected village and town monitoring systems;

[0012] Perform personnel identification based on village and town monitoring data to obtain the identity information of each person appearing in the monitoring data;

[0013] Based on predefined labeling rules, the identity information of each person is marked;

[0014] Count the number of people marked as agricultural population to get the number of agricultural population in the village or town;

[0015] S3. The application data source acquires the platform and assigns roles and permissions to any user who accesses and initiates a registration request, and the platform responds according to the operating logic in S2; wherein the roles include village cadres and village and town planning personnel.

[0016] Optionally, the personnel identification based on the village and town monitoring data includes:

[0017] Obtain basic personnel information of the whole village from the pre-connected village and town work system, and establish a personnel information database storing basic personnel information;

[0018] Define the access rights of the personnel information database as village cadre users and designated users;

[0019] Send the village surveillance data to the village cadre user and execute the preset face calibration process;

[0020] Bind the face calibration result with the corresponding personnel information and store it in the personnel information database;

[0021] Based on the village and town surveillance data, face and clothing recognition is performed on each person appearing in the village and town surveillance data. According to the recognition results, the personnel information database is searched to determine the identity information of the corresponding person, and the identity information and recognition results are sent to the village cadre user, and a verification inquiry is initiated and feedback is received;

[0022] If the feedback is that the recognition is correct, the recognition result is bound to the corresponding person identity information and updated to the person information database.

[0023] Optionally, the data source acquisition platform configuration operation logic further includes:

[0024] Based on the village and town monitoring data, obtain the time when any person enters and leaves the village and town, as well as the means of transportation they take;

[0025] The length of stay is calculated based on the time of entry into the village and the time of exit from the village;

[0026] If the time a person enters a village or town, the time he leaves the village or town, the length of stay, and the means of transportation meet the preset stay conditions for outsiders, he will be marked as an outsider.

[0027] Optionally, the data source acquisition platform configuration operation logic further includes:

[0028] Obtain household registration information of all villagers from the pre-connected village and town work system;

[0029] Based on the household registration information of all villagers, call the household registration information corresponding to each agricultural population, and extract the information of other family members of each agricultural population;

[0030] Request the designated third-party department to retrieve population registration data based on other family member information;

[0031] Based on the population registration data fed back by the third-party department, it is determined whether the permanent residence of other family members of each agricultural population is this village or town. If not, they will be marked as non-agricultural population.

[0032] Optionally, the data source acquisition platform configuration operation logic further includes:

[0033] If the information of any other family member is not found, a record form is generated, and the record form and preset auxiliary verification prompts are sent to the village cadre user.

[0034] Optionally, also include:

[0035] Distribute the preset employee information client to each enterprise in the village or town where the business is located, and assign roles and permissions to any user who accesses and initiates a registration request; wherein the role is the enterprise user;

[0036] Send employee list upload requests to enterprise users based on preset collection cycle rules and receive feedback;

[0037] Perform preset demographic information analysis based on the employee list provided by enterprise users, and update the agricultural population based on the analysis results and in accordance with preset update rules.

[0038] Optionally, also include:

[0039] Obtain image data from cameras preset at the attendance and entrances and exits of various enterprises in villages and towns;

[0040] Perform face recognition based on image data to obtain actual employee information in each enterprise;

[0041] Update the agricultural population based on actual employee information and in accordance with update rules.

[0042] In the second aspect, the present application provides a data source acquisition system for village and town level scale research, which adopts the following technical solutions:

[0043] A data source acquisition system applied to the study of the scale of villages and towns, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned data source acquisition methods applied to the study of the scale of villages and towns.

[0044] To summarize, this application includes the following beneficial technical effects: by obtaining real-time monitoring data of villages and towns and identifying the identities of people entering and leaving villages and towns to replace traditional on-site surveys, it not only reduces the manpower input of investigators, but also can obtain more real and effective data sources, thereby improving the accuracy of digital rural village construction planning work. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is the process of the method of this application Figure 1 .

[0046] Figure 2 This is the process of the method of this application Figure 2 . DETAILED DESCRIPTION

[0047] The following is combined with Figure 1-2 This application is described in further detail.

[0048] The embodiment of the present application discloses a method for acquiring data sources for use in research on the scale of digital rural villages and towns.

[0049] Reference Figure 1 and Figure 2 ,The data source acquisition method used in the study of village and town scale includes the following steps:

[0050] S1. Establish a data source acquisition platform, which includes:

[0051] Establish an online platform with data analysis and processing capabilities based on cloud servers and connect it to village and town monitoring and work systems;

[0052] Establish a database storing information on village and town populations;

[0053] It is understandable that the established online platform is connected to the surveillance installed in various places in the villages and towns. The village and town monitoring system covers surveillance video data of public areas such as village and town entrances and exits, various intersections, roadsides, in front of houses, and by ponds; the village and town work system contains basic personnel information of the entire village and town, and the basic personnel information can be the basic data obtained through on-site surveys in the past.

[0054] S2. Configure the operation logic for the data source acquisition platform, which includes:

[0055] Obtain village and town monitoring data from pre-connected village and town monitoring systems;

[0056] Perform personnel identification based on village and town monitoring data to obtain the identity information of each person appearing in the monitoring data;

[0057] It is understandable that by processing the village and town monitoring data and identifying the identities of the people, the information of each person appearing in the monitoring data can be obtained, including but not limited to the person's name, home address, occupation and other information. Among them, the specific identity identification method will be described in detail later.

[0058] Based on predefined labeling rules, the identity information of each person is marked;

[0059] Count the number of people marked as agricultural population to get the number of agricultural population in the village or town;

[0060] It is understandable that the label rule can be set as multiple labels, including label A: agricultural population, label B: non-agricultural population, label C: outsiders. Example: label A is added to the people identified as agricultural population.

[0061] S3, the application data source obtains the platform and assigns roles and permissions to any user who accesses and initiates a registration request, and the platform responds according to the operating logic in S2; among them, the roles include village cadres and village and town planning personnel.

[0062] Through the above settings, by obtaining real-time monitoring data of villages and towns and identifying the identities of people entering and leaving villages and towns to replace traditional on-site surveys, not only can the manpower input of researchers be reduced, but more real and effective data sources can also be obtained, thereby improving the accuracy of village and town construction planning work.

[0063] Regarding personnel identification based on village and town surveillance data, it includes:

[0064] 1) Obtain basic personnel information of the whole village from the pre-connected village and town work system, and establish a personnel information database storing basic personnel information;

[0065] It is understandable that basic personnel information includes but is not limited to basic information such as personnel name, gender, age, ID number, etc. The above basic information is obtained from the village and town work system and stored in the personnel information database.

[0066] 2) Define the access rights of the personnel information database as village cadres and designated users;

[0067] It is understandable that designated users can be other users who need to access this platform, and the specific situation can be set according to actual needs; different access rights are assigned according to roles. For example, village cadres can access and modify all personnel information, while designated users may only be able to view data within a specific range.

[0068] 3) Send the village monitoring data to the village cadre user and execute the preset face calibration process;

[0069] It is understandable that since the basic personnel information is the basic personnel information obtained from previous on-site surveys, there may be possibilities of omissions or inaccuracies. The basic personnel information is used as a reference, and the real-time monitoring data of villages and towns are sent to village cadres. The face calibration process refers to the cooperation of village cadres to mark key positions such as eyes, nose tips, and corners of the mouth on the face images detected in the monitoring data, and these marked point data can be used as training models to train face recognition models, so that subsequent face recognition can be more accurately matched and associated with actual personnel. It should be noted that in this embodiment, the calibration is first performed automatically by a computer, and then the calibration results are reviewed and corrected by village cadres, which plays an auxiliary role and reduces the chance of recognition errors.

[0070] 4) Bind the face calibration result with the corresponding personnel information and store it in the personnel information database;

[0071] It is understandable that the facial features detected during the calibration process are bound to the corresponding persons, and the binding relationship is stored in the personnel information database.

[0072] 5) Based on the village and town monitoring data, perform face and clothing recognition on each person appearing in the village and town monitoring data, search the personnel information database according to the recognition results, determine the identity information of the corresponding person, and send the identity information and recognition results to the village cadre user, initiate a verification inquiry and receive feedback;

[0073] It can be understood that the faces in the village and town monitoring data are identified, the facial features are extracted and compared with the facial features stored in the personnel information database to obtain the personnel information, and then image recognition is performed based on the clothing of the personnel in the monitoring data, the dressing habits of the personnel are recorded, and an association relationship is established with the personnel information, and then the identified faces, clothing features and corresponding personnel information are packaged and sent to the village cadre user, and a verification inquiry is initiated to the village cadre. The village cadre user can receive information through a personal terminal and verify the above-mentioned association relationship, wherein the format of the inquiry sent is such as: facial image a-person b-clothing c, whether it matches the actual situation of the person. In this embodiment, the model recognition is gradually made more accurate through the above-mentioned verification method. When the accuracy exceeds 90%, it can be free from the verification of the village cadres.

[0074] 6) If the feedback is that the recognition is correct, the recognition result is bound to the corresponding personnel identity information and updated to the personnel information database.

[0075] Through the above settings, if the feedback obtained from the village cadres is that the recognition is correct, the facial and clothing features and the corresponding personnel identity information will be associated and bound, and these new data will be updated and stored in the personnel information database, thereby forming an automatic recognition mechanism, which not only enables the personnel information database to maintain relatively new data, but also improves the accuracy of the recognition results.

[0076] In another embodiment of the present application, in order to better distinguish outsiders in villages and towns, the data source acquisition platform is configured with operating logic, which further includes:

[0077] Based on the village and town monitoring data, obtain the time when any person enters and leaves the village and town, as well as the means of transportation they take;

[0078] It is understandable that by analyzing the monitoring data at the entrances and exits of villages and towns, the entry and exit times of each person entering and leaving the villages and towns can be obtained, and by monitoring various places within the villages and towns, the movement trajectories of each person can be tracked and the means of transportation they take, such as buses or cars, can be checked.

[0079] The length of stay is calculated based on the time of entry into the village and the time of exit from the village;

[0080] If the time a person enters a village or town, the time he leaves the village or town, the length of stay, and the means of transportation meet the preset stay conditions for outsiders, he will be marked as an outsider.

[0081] It is understandable that the length of stay, means of transportation, and time of entering and leaving the village and town are used to comprehensively judge whether the person is an outsider, and the stay conditions for outsiders can be: the time range for entering the village and town is 6-9 o'clock, the time range for leaving the village and town is 19-22 o'clock, the length of stay is less than 6 hours, and the means of transportation is a bus or a car. If any three of the above four conditions are met, it is considered to meet the stay conditions for outsiders. For example: If a person enters the village and town before 6 o'clock, leaves the village and town at 20 o'clock, and takes a car, and the license plate of the private car is identified as a foreign license plate, it can be considered that it meets the stay conditions for outsiders, and is marked as an outsider and is not included in the number of agricultural population.

[0082] In another embodiment of the present application, in order to further obtain more accurate non-agricultural population data, the household registration of the agricultural population is checked, and the actual permanent residence of other family members of the agricultural population is checked through the household registration to determine whether they are non-agricultural population. The data source acquisition platform is configured with operation logic, which also includes:

[0083] Obtain household registration information of all villagers from the pre-connected village and town work system (such as household registration book or permanent population registration form);

[0084] Based on the household registration information of all villagers, call the household registration information corresponding to each agricultural population, and extract the information of other family members of each agricultural population;

[0085] It is understandable that the household registration information of all people in the village is traversed, the household registration information of the agricultural population is called, and the information of other family members on the household registration of the agricultural population is checked. For example: A is an agricultural population, and A's household registration also includes a daughter B and a spouse C. That is, the personal information of daughter B and spouse C is obtained, including ID number, work unit, occupation and other information.

[0086] Request the designated third-party department to retrieve population registration data based on other family member information;

[0087] It is understandable that based on the ID numbers of other family members, a request is made to a third-party department, such as the department responsible for population registration data, to retrieve the population registration data of the corresponding family members, including the permanent address.

[0088] Based on the population registration data fed back by the third-party department, determine whether the permanent residence of other family members of each agricultural population is in the village or town. If not, mark them as non-agricultural population;

[0089] It is understandable that by judging the permanent residence of each family member, if the permanent residence is not in this village, the family member will be marked as non-agricultural population.

[0090] Since there may be situations where the population registration data of individual family members cannot be found, in order to deal with this situation, the method also includes: if the information of any other family member is not found, a record form is generated, and the record form and preset auxiliary verification prompts are sent to the village cadre user.

[0091] It is understandable that by sending the list of family members for whom no population registration data has been found to the village cadres, the auxiliary verification prompt may be that no population registration data has been found for the people on the list, and it is necessary to inquire with village cadres in other villages and towns to verify whether these people have moved to other villages and towns. After that, the village cadres can log in to this online platform to supplement the information of these people, such as whether they have moved to other villages and towns.

[0092] In another embodiment of the present application, in order to obtain more comprehensive village and town personnel data, the method further includes:

[0093] Distribute the preset employee information client to each enterprise in the village or town where the business is located, and assign roles and permissions to any user who accesses and initiates a registration request; wherein the role is the enterprise user;

[0094] It is understandable that by distributing the employee information client to various enterprises in villages and towns, the relevant persons in charge of the enterprise register and log in to the client, and have the authority to upload, modify and delete information.

[0095] Send employee list upload requests to enterprise users based on preset collection cycle rules and receive feedback;

[0096] It is understandable that the collection cycle rule may be to send a request to the enterprise user to upload the employee list on a quarterly basis.

[0097] Perform preset demographic information analysis based on the employee list provided by enterprise users, and update the agricultural population based on the analysis results and in accordance with preset update rules.

[0098] It can be understood that by checking the social security payment status of each employee in the employee list uploaded by the enterprise user, whether the payment place is within the village or town area, if so, it means that the employee participates in the collective economic distribution of the village or town, and also belongs to the agricultural population of the village or town. Among them, the update rule refers to first traversing the database to see whether the employee is already included in the people marked as agricultural population. If the employee has been marked as agricultural population in the database, there is no need to re-mark and update this time. If the employee is marked as non-agricultural population or foreign population in the database, the label is changed to agricultural population and the database is updated.

[0099] In another embodiment of the present application, considering that some enterprises may forget to upload the employee list due to negligence, the method further includes:

[0100] Obtain image data from cameras preset at the attendance and entrances and exits of various enterprises in villages and towns;

[0101] It is understandable that it obtains permissions and establishes data connections with the attendance and entrance and exit cameras of various enterprises.

[0102] Perform face recognition based on image data to obtain actual employee information in each enterprise;

[0103] Through the above settings, on the one hand, it can deal with enterprises that have not uploaded their employee rosters, and on the other hand, it can deal with enterprises that have not updated their employee rosters in a timely manner. By directly obtaining image data from the entrances and exits of the enterprise and the attendance office, and performing image processing and face recognition, the information of employees who actually enter and exit and work in the enterprise can be obtained.

[0104] Update the agricultural population based on actual employee information and in accordance with update rules.

[0105] Through the above settings, after obtaining the actual employee information, based on the actual employee information, traverse the database, first mark the employee information that has appeared in the database and delete it uniformly to prevent data duplication, and then add and update the actual employee information of the enterprise to the database. It should be noted that the update operation can be performed at a frequency of once a month, so that the data stored in the database (agricultural population, non-agricultural population, and foreign population) can be more accurate, thereby improving the accuracy of village and town construction planning.

[0106] The embodiment of the present application also discloses a data source acquisition system applied to the study of village and town level and scale.

[0107] A data source acquisition system applied to town and village level scale research includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned data source acquisition methods applied to town and village level scale research.

[0108] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A data source acquisition method for studying the scale of villages and towns, characterized in that: include: S1. Establish a data source acquisition platform, which includes: Establish an online platform with data analysis and processing capabilities based on cloud servers and connect it to village and town monitoring and work systems; Establish a database storing information on village and town populations; S2. Configure the operation logic for the data source acquisition platform, which includes: Obtain village and town monitoring data from pre-connected village and town monitoring systems; Perform personnel identification based on village and town monitoring data to obtain the identity information of each person appearing in the monitoring data; Based on predefined labeling rules, the identity information of each person is marked; Count the number of people marked as agricultural population to get the number of agricultural population in the village or town; S3. The application data source acquires the platform and assigns roles and permissions to any user who accesses and initiates a registration request, and the platform responds according to the operating logic in S2; wherein the roles include village cadres and village and town planning personnel.

2. The data source acquisition method for the study of village and town scale according to claim 1 is characterized in that: The personnel identification based on the village and town monitoring data includes: Obtain basic personnel information of the whole village from the pre-connected village and town work system, and establish a personnel information database storing basic personnel information; Define the access rights of the personnel information database as village cadre users and designated users; Send the village surveillance data to the village cadre user and execute the preset face calibration process; Bind the face calibration result with the corresponding personnel information and store it in the personnel information database; Based on the village and town surveillance data, face and clothing recognition is performed on each person appearing in the village and town surveillance data. According to the recognition results, the personnel information database is searched to determine the identity information of the corresponding person, and the identity information and recognition results are sent to the village cadre user, and a verification inquiry is initiated and feedback is received; If the feedback is that the recognition is correct, the recognition result is bound to the corresponding person identity information and updated to the person information database.

3. The data source acquisition method for the study of village and town scale according to claim 1 is characterized in that: The data source acquisition platform configuration operation logic also includes: Based on the village and town monitoring data, obtain the time when any person enters and leaves the village and town, as well as the means of transportation they take; The length of stay is calculated based on the time of entry into the village and the time of exit from the village; If the time a person enters a village or town, the time he leaves the village or town, the length of stay, and the means of transportation meet the preset stay conditions for outsiders, he will be marked as an outsider.

4. The data source acquisition method for village and town level scale research according to claim 1 is characterized in that: The data source acquisition platform configuration operation logic also includes: Obtain household registration information of all villagers from the pre-connected village and town work system; Based on the household registration information of all villagers, call the household registration information corresponding to each agricultural population, and extract the information of other family members of each agricultural population; Request the designated third-party department to retrieve population registration data based on other family member information; Based on the population registration data fed back by the third-party department, it is determined whether the permanent residence of other family members of each agricultural population is this village or town. If not, they will be marked as non-agricultural population.

5. The data source acquisition method for the study of village and town scale according to claim 4 is characterized in that: The data source acquisition platform configuration operation logic also includes: If the information of any other family member is not found, a record form is generated, and the record form and preset auxiliary verification prompts are sent to the village cadre user.

6. The data source acquisition method for village and town level scale research according to claim 1 is characterized in that: Also includes: Distribute the preset employee information client to each enterprise in the village or town where the business is located, and assign roles and permissions to any user who accesses and initiates a registration request; wherein the role is the enterprise user; Send employee list upload requests to enterprise users based on preset collection cycle rules and receive feedback; Perform preset demographic information analysis based on the employee list provided by enterprise users, and update the agricultural population based on the analysis results and in accordance with preset update rules.

7. The data source acquisition method for the study of village and town scale according to claim 6 is characterized in that: Also includes: Obtain image data from cameras preset at the attendance and entrances and exits of various enterprises in villages and towns; Perform face recognition based on image data to obtain actual employee information in each enterprise; Update the agricultural population based on actual employee information and in accordance with update rules.

8. A data source acquisition system for village and town level and scale research, characterized by: It comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a data source acquisition method applied to village and town level scale research as claimed in any one of claims 1 to 7.

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