Data acquisition system and method based on house-soil tax

Abstract

The invention belongs to the technical field of house-soil tax related data acquisition, and particularly relates to a data acquisition system and method based on house-soil tax. According to the invention, the building type corresponding to the unpaid house-soil building can be quickly and accurately identified by acquiring the unpaid house-soil building information in real time and comparing the unpaid house-soil building information with the paid house-soil building information, and meanwhile, the acquisition mode can be intelligently determined according to the payment node and condition parameters of the house property tax and the land use tax, so that the user experience is improved. According to the invention, the data acquisition efficiency and accuracy are improved, timely updating and accurate reflection of tax information are ensured through a mode of combining real-time monitoring and regular acquisition, manual intervention is reduced, the management cost is reduced, system operation resources can be reasonably distributed, and waste of system resources is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of data collection related to house and land taxes, and specifically relates to a data collection system and method based on house and land taxes. Background Art

[0002] With the rapid development of the real estate market, the collection and management of housing and land taxes has become increasingly complex. Traditional data collection methods often rely on manual operations, which are inefficient and prone to errors. In order to improve the accuracy and efficiency of data collection, there is an urgent need for automated and intelligent data collection systems and methods to meet the needs of modern tax management.

[0003] The data collection methods of house and land taxes in the prior art still have some shortcomings. For example, the data collection method often simply utilizes the inherent real-time collection and periodic collection, and cannot be adjusted according to the time tax payment nodes, which will lead to the unreasonable allocation of monitoring and collection resources, which undoubtedly increases the operating cost of the system. Therefore, the present invention proposes a data collection method based on house and land taxes, aiming to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a data collection system and method based on real estate tax and land use tax, which can dynamically adjust the data collection mode according to the payment nodes of real estate tax and land use tax to improve the efficiency and accuracy of data collection while reducing the system operation cost.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A data collection method based on real estate and land taxes, comprising:

[0007] Obtaining tax-paid house and soil construction information, wherein the house and soil construction information includes building type, building area and number of buildings;

[0008] Collecting the payment information of property tax and land use tax under each of the house and building information, and summarizing them into a reference data set;

[0009] Collecting payment nodes of property tax and land use tax from the reference data set, and determining a collection method of property tax and land use tax according to the payment nodes, wherein the collection method includes regular collection and real-time collection;

[0010] Obtain the information of untaxed houses and soil buildings in real time, and compare it with the information of taxed houses and soil buildings to determine the building type corresponding to the untaxed houses and soil buildings;

[0011] According to the reference data set corresponding to the building type matching, and the collection method of the real estate tax and land use tax corresponding to the untaxed house and soil construction information, data collection is performed according to the collection method of the real estate tax and land use tax under the untaxed house and soil construction information, and the collection results are uploaded to a preset database for storage.

[0012] In a preferred solution, after the tax-paid house and land construction information is collected, data preprocessing is performed synchronously, and the steps are as follows:

[0013] Obtain tax-paid house and land construction information, and perform deduplication processing to eliminate duplicate items in the tax-paid house and land construction information;

[0014] Add timestamps to the deduplicated house and soil construction information to form benchmark feature data with time series characteristics;

[0015] The benchmark feature data is classified and processed to obtain multiple building information subsets.

[0016] In a preferred embodiment, the step of collecting the payment information of the property tax and the land use tax under each of the house and building information and aggregating them into a reference data set includes:

[0017] Extracting the payment time nodes of the property tax and the land use tax from the payment information and recording them as the first condition parameter;

[0018] Performing an offset process on the first condition parameter, and determining a sample period according to the offset result;

[0019] Collect the amount of property tax and land use tax paid during the sample period and record it as the second condition parameter;

[0020] According to the second condition parameter, performing association evaluation processing on the adjacent sample time periods to obtain associated time periods and independent time periods;

[0021] The associated time periods are merged until the merged associated time periods meet the standards of independent time periods, and then the payment information of the property tax and land use tax in each of the independent time periods is summarized as a reference data set.

[0022] In a preferred solution, there are multiple payment time nodes, and the time intervals between adjacent payment time nodes are consistent;

[0023] The offset mode of the first condition parameter is bidirectional equidistant offset, and the unidirectional offset length of the first condition parameter is greater than half of the time length between adjacent payment time nodes.

[0024] In a preferred solution, the step of performing association evaluation processing on adjacent sample time periods according to the second condition parameter to obtain associated time periods and independent time periods includes:

[0025] Obtaining a second condition parameter under each of the sample time periods;

[0026] Obtaining an association evaluation threshold, and directly recording a sample period under a second condition parameter greater than the association evaluation threshold as an independent period;

[0027] Summing the second condition parameters in adjacent sample time periods to obtain an associated condition parameter, and comparing the associated condition parameter with an associated evaluation threshold;

[0028] When the association condition parameter is greater than or equal to the association evaluation threshold, directly merging the adjacent sample time periods into independent time periods;

[0029] When the association condition parameter is less than the association evaluation threshold, the adjacent sample time periods are recorded as association time periods and merged synchronously, and the association evaluation process is continued for the merged sample time periods until all are output as independent time periods.

[0030] In a preferred solution, the step of determining the collection method of the property tax and the land use tax according to the payment node includes:

[0031] Counting the time lengths of each of the independent time periods and recording them as precondition parameters;

[0032] Obtaining a classification threshold, and comparing the classification threshold with a precondition parameter;

[0033] If the precondition parameter is less than the classification threshold, it indicates that the collection process of the property tax and the land use tax in the independent period is frequent, and the collection method of the property tax and the land use tax is determined to be real-time collection;

[0034] If the precondition parameter is greater than or equal to the classification threshold, it indicates that the collection process of the property tax and land use tax in the independent period is dispersed, and the collection method of the property tax and land use tax is determined to be periodic collection.

[0035] In a preferred solution, the step of acquiring the information of the houses and soil buildings for which tax has not been paid in real time and comparing it with the information of the houses and soil buildings for which tax has been paid to determine the building type corresponding to the houses and soil buildings for which tax has not been paid includes:

[0036] Obtain information on buildings and properties that have not yet paid taxes, as well as information on buildings and properties that have paid taxes;

[0037] Vectorizing the untaxed house and land construction information and the taxed house and land construction information to obtain a feature vector to be compared and a reference feature vector;

[0038] Obtaining a pairing function, and inputting the feature vector to be compared and the reference feature vector into the pairing function, and recording the output result of the pairing function as a pairing score;

[0039] The pairing scores are arranged in descending order, and the untaxed house and soil building information and the taxed house and soil building information with the highest pairing score are paired, and the building type of the taxed house and soil building information is output synchronously, and then the building type corresponding to the untaxed house and soil building is output.

[0040] In a preferred embodiment, the step of performing data collection based on the collection method of the property tax and land use tax under the unpaid house and land construction information includes:

[0041] Obtain the building types corresponding to the untaxed houses and buildings, and the collection methods of the property tax and land use tax in the corresponding reference data set under the said building types;

[0042] Under the periodic collection, data collection of real estate tax and land use tax under unpaid house and land construction information is performed at fixed intervals;

[0043] Under the real-time collection, real-time monitoring is performed on the property tax and land use tax under the unpaid house and building information, and data collection is immediately carried out when the payment of property tax or land use tax is detected.

[0044] The present invention also provides a data collection system based on house and land taxes, using the above-mentioned data collection method based on house and land taxes, comprising:

[0045] A data collection module, the data collection module is used to obtain tax-paid house and soil construction information, wherein the house and soil construction information includes building type, building area and number of buildings;

[0046] A reference module, the reference module is used to collect the payment information of the property tax and the land use tax under each of the house and soil construction information, and summarize it into a reference data set;

[0047] A method evaluation module, the method evaluation module is used to collect payment nodes of real estate tax and land use tax from the reference data set, and determine the collection method of real estate tax and land use tax according to the payment nodes, wherein the collection method includes a periodic collection method and a real-time collection method;

[0048] A classification module, which is used to obtain the information of untaxed houses and soil buildings in real time, and compare it with the information of taxed houses and soil buildings to determine the building type corresponding to the untaxed houses and soil buildings;

[0049] A method determination module is used to match the corresponding reference data set according to the building type, and the collection method of the real estate tax and land use tax corresponding to the untaxed house and soil construction information, and then perform data collection according to the collection method of the real estate tax and land use tax under the untaxed house and soil construction information, and upload the collection results to a preset database for storage.

[0050] And, an electronic device, the electronic device comprising:

[0051] at least one processor;

[0052] and a memory communicatively coupled to the at least one processor;

[0053] Among them, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned data collection method based on the real estate and land taxes.

[0054] The technical effects achieved by the present invention are:

[0055] A data collection method based on house and land taxes in the present invention can quickly and accurately identify the building type corresponding to the house and land buildings that have not paid taxes by acquiring the house and land building information that has not paid taxes in real time and comparing it with the house and land building information that has paid taxes. At the same time, it can also intelligently determine the collection method according to the payment nodes and condition parameters of the property tax and land use tax, thereby improving the efficiency and accuracy of data collection. By combining real-time monitoring with regular collection, it ensures the timely updating and accurate reflection of tax information, reduces manual intervention, reduces management costs, enables system operation resources to be reasonably allocated, and avoids waste of system resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic flow chart of the method of the present invention;

[0057] Figure 2 It is a schematic diagram of the system module of the present invention;

[0058] Figure 3 It is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0059] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0060] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0061] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0062] See also Figure 1 As shown, the present invention provides a data collection method based on house and land taxes, comprising:

[0063] S1. Obtain tax-paid house and land construction information, where the house and land construction information includes building type, building area and number of buildings;

[0064] In step S1, when optimizing data collection for real estate and land tax information, firstly, it is necessary to obtain relevant information of real estate and land buildings that have completed tax obligations, that is, real estate and land building information. Real estate and land building information includes but is not limited to building type, building area and number of buildings. It is obtained through the existing tax system or cooperation with relevant departments. After the collection of tax-paid real estate and land building information is completed, data preprocessing is performed synchronously. The steps are as follows:

[0065] Obtain tax-paid house and land construction information, and perform deduplication processing to eliminate duplicate items in the tax-paid house and land construction information;

[0066] Add timestamps to the deduplicated house and soil construction information to form benchmark feature data with time series characteristics;

[0067] Classify and process the benchmark feature data to obtain multiple building information subsets;

[0068] Specifically, after completing the collection of tax-paid house and soil construction information, it is necessary to perform corresponding data preprocessing to ensure the accuracy and availability of the data. First, it is necessary to obtain the tax-paid house and soil construction information and perform deduplication processing on it to eliminate duplicate items. The purpose is to ensure the accuracy of subsequent analysis and avoid errors caused by duplicate data. After the deduplication processing is completed, a timestamp will be added to the house and soil construction information to form benchmark feature data with time series characteristics. The timestamp is added to record the time attributes of each building information in order to better understand the changes in the house and soil construction information. Finally, the benchmark feature data will be classified to obtain multiple building information subsets. The purpose of the classification processing is to classify building information with similar characteristics into the same subset, so as to facilitate subsequent analysis and processing.

[0069] S2, collect the payment information of property tax and land use tax under each house and building information, and summarize them into a reference data set;

[0070] In step S2, after the house and soil construction information is determined, it is also necessary to collect the payment information of the property tax and land use tax corresponding to each house and soil construction. The payment information will be summarized and organized into multiple reference data sets according to the building type to facilitate subsequent analysis and processing. The step of collecting the payment information of the property tax and land use tax under each house and soil construction information and summarizing it into a reference data set includes:

[0071] Extract the payment time nodes of property tax and land use tax from the payment information and record them as the first condition parameter;

[0072] Performing an offset process on the first condition parameter, and determining a sample period according to the offset result;

[0073] Collect the amount of property tax and land use tax paid during the sample period and record it as the second condition parameter;

[0074] According to the second condition parameter, the adjacent sample time periods are subjected to correlation evaluation processing to obtain correlation time periods and independent time periods;

[0075] The associated time periods are merged until they meet the criteria for independent time periods, and then the payment information of property tax and land use tax in each independent time period is aggregated into a reference data set;

[0076] In order to ensure that the payment information of property tax and land use tax for each house and land building can be accurately collected and summarized into a reference data set, it is first necessary to carefully extract the specific payment time nodes of property tax and land use tax from the existing payment information. There are multiple payment time nodes, and the time intervals between adjacent payment time nodes are consistent. The payment time nodes will be used as the first condition parameter for subsequent analysis, and then the first condition parameter will be offset. The purpose of the offset processing is to determine a suitable sample period so that the payment of property tax and land use tax can be analyzed and evaluated more accurately. Here, it needs to be explained Yes, the offset mode of the first condition parameter is bidirectional equidistant offset, and the unidirectional offset length of the first condition parameter is greater than half of the time length between adjacent payment time nodes, so as to cover the volatility of payment information. After determining the sample period, it is necessary to collect the payment amount of property tax and land use tax in the period. The payment amount will be used as the second condition parameter for subsequent analysis, and then the adjacent sample periods will be associated with evaluation. Through the association evaluation, the associated periods can be merged to form independent periods, and the payment information of property tax and land use tax in the independent periods can be summarized to finally form a complete reference data set;

[0077] Here, according to the second condition parameter, the steps of performing association evaluation processing on adjacent sample time periods to obtain associated time periods and independent time periods include:

[0078] Obtaining the second condition parameter in each sample period;

[0079] Obtaining an associated evaluation threshold, and directly recording the sample period under the second condition parameter greater than the associated evaluation threshold as an independent period;

[0080] The second condition parameters in adjacent sample time periods are summed to obtain an associated condition parameter, and the associated condition parameter is compared with an associated evaluation threshold;

[0081] When the correlation condition parameter is greater than or equal to the correlation evaluation threshold, the adjacent sample periods are directly merged into independent periods;

[0082] When the correlation condition parameter is less than the correlation evaluation threshold, the adjacent sample periods are recorded as correlation periods and merged synchronously, and the correlation evaluation process is continued for the merged sample periods until all are output as independent periods;

[0083] In the above, when evaluating the sample period, it is first necessary to obtain the second condition parameter under each sample period and preset a correlation evaluation threshold. The correlation evaluation threshold will be used to determine whether the sample period has sufficient correlation. Once the second condition parameter value of a sample period is greater than the correlation evaluation threshold, it can be directly recorded as an independent period, and then the second condition parameters under adjacent sample periods are summed to obtain an association condition parameter. The association condition parameter reflects the degree of correlation between adjacent periods. At the same time, the association condition parameter will be compared with the association evaluation threshold. If the association condition parameter is greater than or equal to the association evaluation threshold, it means that the correlation between adjacent sample periods is strong, so the corresponding adjacent sample periods can be directly merged into an independent period. On the contrary, if the association condition parameter is less than the association evaluation threshold, it means that the correlation between adjacent sample periods is weak, so the corresponding adjacent sample periods are recorded as associated periods, and these associated periods need to be merged to further analyze the correlation between them. After the merging process, the merged sample period continues to be associated and evaluated until all sample periods are evaluated and output as independent periods. This process will continue until the evaluation process of all sample periods is completed.

[0084] S3. Collect the payment nodes of the property tax and the land use tax from the reference data set, and determine the collection method of the property tax and the land use tax according to the payment nodes, wherein the collection method includes regular collection and real-time collection;

[0085] In step S3, based on the reference data set, payment nodes of property tax and land use tax are further collected. The payment nodes are used to determine the collection method of property tax and land use tax. In this embodiment, the collection method can be divided into two types: periodic collection and real-time collection. Periodic collection refers to data collection at fixed time intervals, while real-time collection refers to data collection immediately when the tax is paid. The step of determining the collection method of property tax and land use tax according to the payment node includes:

[0086] Count the length of each independent period and record it as a precondition parameter;

[0087] Get the classification threshold and compare the classification threshold with the precondition parameter;

[0088] If the precondition parameter is less than the classification threshold, it indicates that the collection process of the property tax and the land use tax in the independent period is frequent, and the collection method of the property tax and the land use tax is determined to be real-time collection;

[0089] If the precondition parameter is greater than or equal to the classification threshold, it indicates that the collection process of property tax and land use tax in the independent period is decentralized, and the collection method of property tax and land use tax is determined as periodic collection;

[0090] Specifically, in order to ensure that the collection method of property tax and land use tax can be reasonably arranged according to the specific payment nodes, it is necessary to first count the length of each independent time period and record it as a precondition parameter. Then, it is necessary to obtain the corresponding classification threshold. The classification threshold is a pre-set standard used to determine the collection frequency of property tax and land use tax in an independent time period. These classification thresholds are compared with the previously counted precondition parameters. If the comparison shows that the precondition parameters are less than the classification threshold, it means that the collection process of property tax and land use tax is relatively frequent in the independent time period. In this case, The collection method of property tax and land use tax will be determined as real-time collection. Real-time collection means that the tax department needs to collect and process data immediately when each payment node arrives to ensure timely collection and accurate recording of taxes. On the contrary, if the precondition parameter is greater than or equal to the classification threshold, it means that the collection process of property tax and land use tax is relatively scattered within an independent period of time. In this case, the collection method of property tax and land use tax will be determined as periodic collection. Periodic collection means that the tax department can collect and process data in a centralized manner within each fixed time period, thereby improving work efficiency and reducing resource consumption caused by frequent operations.

[0091] S4. Real-time acquisition of untaxed house and land construction information, and comparison with tax-paid house and land construction information to determine the building type corresponding to the untaxed house and land construction;

[0092] In step S4, in order to ensure the completeness and accuracy of the data, it is also necessary to obtain in real time the information of houses and soil buildings for which the property tax and land use tax have not been paid. By comparing the information of houses and soil buildings for which the tax has been paid with the information of houses and soil buildings for which the tax has been paid, the specific building type of the houses and soil buildings for which the tax has not been paid can be determined. The steps of obtaining the information of houses and soil buildings for which the tax has not been paid in real time and comparing it with the information of houses and soil buildings for which the tax has been paid to determine the building type corresponding to the houses and soil buildings for which the tax has not been paid include:

[0093] Obtain information on buildings and properties that have not yet paid taxes, as well as information on buildings and properties that have paid taxes;

[0094] Vectorizing the untaxed house and land construction information and the taxed house and land construction information to obtain the feature vector to be compared and the reference feature vector;

[0095] Obtain a pairing function, input the feature vector to be compared and the reference feature vector into the pairing function, and record the output result of the pairing function as a pairing score;

[0096] Arrange the matching scores in descending order, and match the untaxed house and soil building information with the highest matching score with the tax-paid house and soil building information, and simultaneously output the building type of the tax-paid house and soil building information, and then output the building type corresponding to the untaxed house and soil building;

[0097] Specifically, in order to grasp the building information of unpaid property tax and land tax in real time, and compare and analyze it with the building information of tax-paid buildings, so as to determine the building type corresponding to the unpaid building, it is necessary to first obtain the house and land building information of unpaid property tax and land tax in real time, and at the same time, obtain the house and land building information of tax-paid buildings. In order to facilitate comparison and analysis, it is necessary to vectorize the unpaid house and land building information and the tax-paid house and land building information, so that the unpaid house and land building information and the tax-paid house and land building information can be converted into feature vectors in numerical form, which are respectively called the feature vector to be compared and the reference feature vector. In order to further analyze the similarity or difference between these feature vectors, it is necessary to obtain a preset pairing function (the expression of the pairing function is: In the formula, R represents the pairing score, n represents the number of feature points in the feature vector to be evaluated and the reference feature vector, and a i and b i Represent the feature vector to be evaluated and the reference feature vector respectively), the pairing function can accept the feature vector to be compared and the reference feature vector as input, and output a pairing score to reflect the matching degree between the untaxed house and land building information and the taxed house and land building information. After obtaining the pairing score, it is necessary to arrange them in descending order. In this way, the most likely matching building information pair can be found. Specifically, the untaxed house and land building information and the taxed house and land building information corresponding to the highest pairing score will be selected for pairing. Finally, in order to determine the building type corresponding to the untaxed house and land building, it is necessary to synchronously output the building type of the taxed house and land building information paired with it, so that the type of the taxed building can be directly output as the corresponding type of the untaxed building.

[0098] S5. Match the corresponding reference data set according to the building type, and the collection method of the real estate tax and land use tax corresponding to the untaxed house and land construction information, and then perform data collection according to the collection method of the real estate tax and land use tax under the untaxed house and land construction information, and upload the collection results to a preset database for storage;

[0099] In step S5, the corresponding reference data set will be matched according to the different building types, and the collection method of the real estate tax and land use tax corresponding to the unpaid house and land building information will be combined. According to these matching results, the corresponding data collection work will be performed. After the collection is completed, the collection results will be uploaded to a pre-set database for storage to facilitate subsequent query and analysis. Among them, the steps of performing data collection according to the collection method of the real estate tax and land use tax under the unpaid house and land building information include:

[0100] Obtain the building types corresponding to the untaxed houses and buildings, as well as the collection methods of the property tax and land use tax in the corresponding reference dataset under the building types;

[0101] Under regular collection, real estate tax and land use tax data under unpaid house and land construction information are collected at fixed intervals;

[0102] Real-time data collection: real-time monitoring of property tax and land use tax for unpaid house and building information, and immediate data collection when the payment of property tax or land use tax is detected;

[0103] Specifically, according to the information of houses and land buildings that have not paid the property tax and land use tax, it is necessary to adopt a matched data collection method to perform the collection of property tax and land use tax. First, it is necessary to obtain the relevant information of the houses and land buildings that have not paid the property tax and land use tax, including the building type. At the same time, the existing property tax and land use tax collection methods in the data set will be referred to, and the specific collection method will be determined according to different building types. Secondly, in the case of regular collection, a fixed time interval will be set, such as weekly, monthly or quarterly, to collect data on the houses and land buildings that have not paid the property tax and land use tax. The regular collection method helps to update and maintain relevant data in a timely manner to ensure the accuracy and timeliness of the information. In the case of real-time collection, the information of houses and land buildings that have not paid the property tax and land use tax will be monitored in real time. Once the payment of property tax or land use tax is detected, data collection will be carried out immediately to ensure that the latest payment information can be quickly captured. This collection method should deal with the phenomenon of frequent payment, such as during the delivery period of new houses. In this way, data redundancy can be avoided and the collection efficiency of house and land taxes can be reasonably optimized.

[0104] See also Figure 2 A data collection system based on house and land taxes, using the above-mentioned data collection method based on house and land taxes, comprises:

[0105] The data collection module is used to obtain tax-paid house and land construction information, wherein the house and land construction information includes building type, building area and building quantity;

[0106] Reference module: The reference module is used to collect the payment information of property tax and land use tax under each house and building information, and summarize it into a reference data set;

[0107] Method evaluation module, which is used to collect payment nodes of property tax and land use tax from the reference data set, and determine the collection method of property tax and land use tax according to the payment nodes, wherein the collection method includes regular collection method and real-time collection method;

[0108] The classification module is used to obtain the information of untaxed houses and soil buildings in real time, and compare it with the information of taxed houses and soil buildings to determine the building type corresponding to the untaxed houses and soil buildings;

[0109] The method determination module is used to match the corresponding reference data set according to the building type, as well as the collection method of the property tax and land use tax corresponding to the untaxed house and land construction information, and then perform data collection based on the collection method of the property tax and land use tax under the untaxed house and land construction information, and upload the collection results to the preset database for storage.

[0110] In the above, the system includes a data acquisition module, a reference module, a method evaluation module, a classification module and a method determination module. These modules work together to ensure the efficiency and accuracy of the entire data acquisition process. The data acquisition module is responsible for collecting relevant information on real estate and land buildings that have completed tax obligations, covering multiple dimensions such as building types, building areas, and the number of buildings, ensuring the comprehensiveness and accuracy of the data. The role of the reference module is to collect the payment status of real estate taxes and land use taxes under various real estate and land building information, and summarize them into a detailed reference data set, which provides an important basis for subsequent analysis and decision-making. The method evaluation module extracts the payment node information of real estate taxes and land use taxes from the reference data set, and determines the payment node information of real estate taxes and land use taxes based on the payment node information. The collection method of property tax and land use tax can be divided into two types: regular collection and real-time collection, so as to flexibly select the most appropriate collection strategy according to the actual situation. The classification module obtains the real estate and land building information of the property tax and land use tax that have not yet paid in real time, and compares and analyzes it with the building information that has paid the tax. In this way, the type of unpaid tax buildings can be accurately identified, thereby providing support for subsequent processing. The method determination module matches the corresponding reference data set according to the building type, and determines the collection method of property tax and land use tax in combination with the unpaid tax building information. Once the collection method is determined, the system will perform data collection according to the established process, and upload the collected results to the pre-set database for storage and management, providing strong data support for the tax authorities.

[0111] See also Figure 3, an electronic device, the electronic device comprising:

[0112] at least one processor;

[0113] and a memory communicatively coupled to the at least one processor;

[0114] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the above-mentioned data collection method based on the housing and land taxes.

[0115] The processor of the electronic device may be

[0116] The central processing unit (CPU) or microprocessor is responsible for executing instructions in the computer program and handling tasks such as data collection, analysis and storage. The memory can be random access memory (RAM), read-only memory (ROM) or other forms of non-volatile memory, which is used to store computer programs and temporary or permanent data. Electronic devices may also include an arithmetic unit, input devices and output devices. The arithmetic unit is used to perform data processing and computing tasks, input devices such as keyboards and mice allow users to interact with electronic devices, and output devices such as displays and printers are used to display processing results and output data.

[0117] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0118] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A data collection method based on real estate and land taxes, characterized by: include: Obtaining tax-paid house and soil construction information, wherein the house and soil construction information includes building type, building area and number of buildings; Collecting the payment information of property tax and land use tax under each of the house and building information, and summarizing them into a reference data set; Collecting payment nodes of property tax and land use tax from the reference data set, and determining a collection method of property tax and land use tax according to the payment nodes, wherein the collection method includes regular collection and real-time collection; Obtain the information of untaxed houses and soil buildings in real time, and compare it with the information of taxed houses and soil buildings to determine the building type corresponding to the untaxed houses and soil buildings; According to the reference data set corresponding to the building type matching, and the collection method of the real estate tax and land use tax corresponding to the untaxed house and soil construction information, data collection is performed according to the collection method of the real estate tax and land use tax under the untaxed house and soil construction information, and the collection results are uploaded to a preset database for storage.

2. The data collection method based on house and land tax according to claim 1 is characterized by: After the tax-paid house and land construction information is collected, data preprocessing is performed synchronously, and the steps are as follows: Obtain tax-paid house and land construction information, and perform deduplication processing to eliminate duplicate items in the tax-paid house and land construction information; Add timestamps to the deduplicated house and soil construction information to form benchmark feature data with time series characteristics; The benchmark feature data is classified and processed to obtain multiple building information subsets.

3. The data collection method based on house and land tax according to claim 2 is characterized by: The step of collecting the payment information of the property tax and the land use tax under each of the house and land construction information and summarizing them into a reference data set includes: Extracting the payment time nodes of the property tax and the land use tax from the payment information and recording them as the first condition parameter; Performing an offset process on the first condition parameter, and determining a sample period according to the offset result; Collect the amount of property tax and land use tax paid during the sample period and record it as the second condition parameter; According to the second condition parameter, performing association evaluation processing on the adjacent sample time periods to obtain associated time periods and independent time periods; The associated time periods are merged until the merged associated time periods meet the standards of independent time periods, and then the payment information of the property tax and land use tax in each of the independent time periods is summarized as a reference data set.

4. The data collection method based on house and land tax according to claim 3 is characterized by: There are multiple payment time nodes, and the time intervals between adjacent payment time nodes are consistent; The offset mode of the first condition parameter is bidirectional equidistant offset, and the unidirectional offset length of the first condition parameter is greater than half of the time length between adjacent payment time nodes.

5. The data collection method based on house and land tax according to claim 3 is characterized by: The step of performing association evaluation processing on adjacent sample time periods according to the second condition parameter to obtain associated time periods and independent time periods includes: Obtaining a second condition parameter under each of the sample time periods; Obtaining an association evaluation threshold, and directly recording a sample period under a second condition parameter greater than the association evaluation threshold as an independent period; Summing the second condition parameters in adjacent sample time periods to obtain an associated condition parameter, and comparing the associated condition parameter with an associated evaluation threshold; When the association condition parameter is greater than or equal to the association evaluation threshold, directly merging the adjacent sample time periods into independent time periods; When the association condition parameter is less than the association evaluation threshold, the adjacent sample time periods are recorded as association time periods and merged synchronously, and the association evaluation process is continued for the merged sample time periods until all are output as independent time periods.

6. The data collection method based on house and land tax according to claim 5 is characterized by: The step of determining the collection method of the property tax and the land use tax according to the payment node includes: Counting the time lengths of each of the independent time periods and recording them as precondition parameters; Obtaining a classification threshold, and comparing the classification threshold with a precondition parameter; If the precondition parameter is less than the classification threshold, it indicates that the collection process of the property tax and the land use tax in the independent period is frequent, and the collection method of the property tax and the land use tax is determined to be real-time collection; If the precondition parameter is greater than or equal to the classification threshold, it indicates that the collection process of the property tax and land use tax in the independent period is dispersed, and the collection method of the property tax and land use tax is determined to be periodic collection.

7. The data collection method based on house and land tax according to claim 1 is characterized by: The step of obtaining the untaxed house and soil construction information in real time and comparing it with the taxed house and soil construction information to determine the building type corresponding to the untaxed house and soil construction includes: Obtain information on buildings and properties that have not yet paid taxes, as well as information on buildings and properties that have paid taxes; Vectorizing the untaxed house and land construction information and the taxed house and land construction information to obtain a feature vector to be compared and a reference feature vector; Obtaining a pairing function, and inputting the feature vector to be compared and the reference feature vector into the pairing function, and recording the output result of the pairing function as a pairing score; The pairing scores are arranged in descending order, and the untaxed house and soil building information and the taxed house and soil building information with the highest pairing score are paired, and the building type of the taxed house and soil building information is output synchronously, and then the building type corresponding to the untaxed house and soil building is output.

8. The data collection method based on house and land tax according to claim 1 is characterized by: The step of performing data collection based on the collection method of property tax and land use tax under the unpaid house and land construction information includes: Obtain the building types corresponding to the untaxed houses and buildings, and the collection methods of the property tax and land use tax in the corresponding reference data set under the said building types; Under the periodic collection, data collection of real estate tax and land use tax under unpaid house and land construction information is performed at fixed intervals; Under the real-time collection, real-time monitoring is performed on the property tax and land use tax under the unpaid house and building information, and data collection is immediately carried out when the payment of property tax or land use tax is detected.

9. A data collection system based on real estate and land taxes, characterized by: The data collection method based on the house and land tax according to any one of claims 1 to 8 comprises: A data collection module, the data collection module is used to obtain tax-paid house and soil construction information, wherein the house and soil construction information includes building type, building area and number of buildings; A reference module, the reference module is used to collect the payment information of the property tax and the land use tax under each of the house and soil construction information, and summarize it into a reference data set; A method evaluation module, the method evaluation module is used to collect payment nodes of real estate tax and land use tax from the reference data set, and determine the collection method of real estate tax and land use tax according to the payment nodes, wherein the collection method includes a periodic collection method and a real-time collection method; A classification module, which is used to obtain the information of untaxed houses and soil buildings in real time, and compare it with the information of taxed houses and soil buildings to determine the building type corresponding to the untaxed houses and soil buildings; A method determination module is used to match the corresponding reference data set according to the building type, and the collection method of the real estate tax and land use tax corresponding to the untaxed house and soil construction information, and then perform data collection according to the collection method of the real estate tax and land use tax under the untaxed house and soil construction information, and upload the collection results to a preset database for storage.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data collection method based on the house and land tax as described in any one of claims 1 to 8.

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