A construction land supply monitoring and supervision method and system

Abstract

The present invention belongs to the field of land monitoring technology, and discloses a method and system for monitoring and supervising the supply of construction land. The method uses a map of natural resources as basic data to form a knowledge relationship map covering the entire process of construction land; performs data governance, uses the construction project ID as a unique identifier, constructs an ETL data processing model, and forms a business-oriented land management data results library; uses the results-oriented construction land data to construct a monitoring indicator model; and analyzes and provides services for the statistical characteristics, changing trends, distribution, periodicity, and correlation of spatial data according to the set area and scope. The present invention establishes a regional construction land supply and intensive utilization early warning indicator system, constructs a macro-control decision support function module with database, model library and knowledge base as basic information support, and data comprehensive management and auxiliary decision support as supporting functions, realizing a rapid response mechanism for abnormal information disclosure.

Description

Technical Field

[0001] The present invention belongs to the technical field of land use monitoring, and in particular relates to a method and system for monitoring and supervising the supply of construction land. Background Art

[0002] As the information construction gradually enters the multi-level promotion stage, various places have established information systems to assist in the post-approval supervision and law enforcement supervision of construction land, which has improved the efficiency of construction land management to a certain extent and contributed to the refined management and dynamic monitoring of construction land. However, when these systems were designed and developed, on the one hand, they did not take into account the distributed supervision operation at the provincial, municipal and county levels, resulting in a lack of lower-level natural resource information related to the implementation of construction land supervision work, and a lack of shared interfaces and interactive operation methods of data and applications between the upper and lower systems in terms of resource description, resource construction, and resource management, forming information islands; on the other hand, the data integrity and authenticity are insufficient, especially the provincial system has not been able to fully integrate the results of the national land survey, resulting in the existing system mainly reflecting the basic situation at the time of land supply approval, and cannot provide dynamic tracking services for further construction land supervision. These two deficiencies have caused the existing similar system applications to remain at the primary application stage, and the analysis has only remained at the manual addition and subtraction statistics of manually collected data, which cannot meet the growing needs of dynamic supervision.

[0003] Through the above analysis, the problems and defects of the existing technology are as follows: the current land supervision business involves many business offices, many management systems, and many data sources. In addition, the data database of the existing inefficient construction land does not consider the data relevance and logical relationship, and the data is separated from each other. At the same time, the data content and data fields in the data processing process are too cumbersome, which is not conducive to the monitoring, supervision and data storage of the existing inefficient construction land. This makes the comprehensive integration and monitoring efficiency of land dynamic supervision information low. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the disclosed embodiment of the present invention provides a method and system for monitoring and supervising the supply of construction land.

[0005] The technical solution is as follows: A method for monitoring and supervising the supply of construction land, comprising:

[0006] S1, using a natural resource map as the basic data, forms a knowledge relationship map covering the entire process of construction land;

[0007] S2, based on the knowledge relationship graph, conducts data governance, uses the construction project ID as the unique identifier, and constructs an ETL data processing model through ETL data extraction, cleaning, integration, conversion, and association to form a business-oriented land management data results database;

[0008] S3, using the construction land data in the land management data database to build a monitoring indicator model;

[0009] S4, according to the set area and scope, provides analysis services for the statistical characteristics, changing trends, distribution and periodicity of spatial data. For thematic data on land approval, land supply, land use, supplementary cultivated land and land law enforcement, it displays the indicator evaluation results in the form of indicator numerical ratios, pie charts, bar charts, statistical forms, exported reports and spatial distribution maps. It also processes the indicator evaluation results from the time and space dimensions to realize dynamic monitoring, early warning visualization and spatial query analysis of construction land management business under full-process supervision.

[0010] In step S1, a map of natural resources is used as basic data to form a knowledge relationship map covering the entire process of construction land, including: analyzing land management business, guided by business processes, combining data association relationships, and associating project land supply with project procedures through spatial location relationships; using the project code at the time of project establishment as key data to achieve automatic concatenation of procedural information at various stages of the project, and determining the progress of project construction based on the handling of procedures at various stages of the project, thereby forming a knowledge relationship map covering the entire process of construction land.

[0011] Furthermore, the progress of the project construction is determined, including: using the agreed start time and agreed completion time in the land supply contract, as well as the procedures handled at each stage of the project construction process, including the project planned building area, the project construction building area and the construction permit processing time, the project completion building area and the completion certificate processing time information, to build a full life cycle supervision model for construction land after supply.

[0012] Furthermore, a supervision model for the entire life cycle of construction land after supply is constructed, including:

[0013] (1) Whether the construction of the land has started in accordance with the time agreed in the contract shall be determined based on whether the construction permit has been obtained for the land supplied;

[0014] (2) Based on the planned building area and the construction building area, determine whether the supplied land parcel should be partially or fully constructed;

[0015] (3) Whether the land parcel has been completed within the time agreed in the contract shall be determined based on whether the completion certificate has been obtained for the land parcel supplied;

[0016] (4) Determine whether the supplied land parcel is partially completed or fully completed based on the planned building area and the completed building area;

[0017] (5) For the case where the buildings on a single plot are relatively evenly distributed, the relative land area under construction and the relative land area completed on each plot are quantitatively estimated based on the planned building area, construction building area and completed building area on the plot, so as to achieve a quantitative analysis of the degree of development and utilization of the supplied plots.

[0018] Furthermore, the following formula is used to conduct a qualitative analysis of the land area started and the land area completed:

[0019] S 相对开工 =S 施工 / S 规划 ·S 供地 ;

[0020] S 相对竣工 =S 竣工 / S 规划 ·S 供地 ;

[0021] In the formula, S 相对开工 is the relative construction land area of ​​the supply plot, S 施工 is the construction area on the plot, S 规划 S is the planned building area on the plot, 供地 is the land area of ​​the supply plot, S 相对竣工 S is the relative completed land area of ​​the supplied plot, 竣工 It is the building area certified by the completion certificate on the plot of land.

[0022] In step S2, the ETL data processing model includes:

[0023] Step 1: Process the outliers of construction land data based on the knowledge relationship graph. The target monitoring parameters are segmented in two ways, and the box plot is used to judge the outliers of construction land data in different segments.

[0024] Step 2: Process the deviation value based on the distributed function; characterize the continuous constant value in the historical process data of the target monitoring parameter; traverse the original data sequence in order of sampling time, and the number of consecutive occurrences of the current value is the characterization value of the current continuous segment; traverse all subsequences to calculate the distributed function of the continuous segment in the process data of the target monitoring parameter;

[0025]

[0026] in, is a distribution function, I(·) is an indicator function, n is the number of samples; x is any possible value, an integer greater than 1; X iis the representation number of the continuous segment of the current sample; a threshold α is set for the distribution function to obtain a threshold L corresponding to the continuous fixed value length; when the representation value of the continuous segment exceeds the threshold L, it is considered that a deviation value occurs;

[0027] Step 3: Process missing values ​​based on sample interpolation. For a single missing value, fill it with the average of the previous and next values. For consecutive missing values, if the number of consecutive missing values ​​is less than the threshold N, use three sample interpolations, otherwise delete them directly.

[0028] In the step 1, processing of construction land data outliers is performed based on the knowledge relationship graph, including: judging the construction land data outliers based on the operation process data 1 by using the knowledge relationship graph method, filling the single construction land data outliers with the mean before and after, and replacing the continuous construction land data outliers with NaN, which are recorded as the operation process data 2; wherein the data segmentation method includes: segmentation directly based on the operation process data 1; segmentation of the target monitoring parameters is obtained based on the distribution of the operating condition parameters;

[0029] In the step 2, the deviation value processing is performed based on the distributed function, including: based on the operation process data 2, characterizing the continuous fixed value of the values ​​in each subsequence, and obtaining the empirical distribution of the continuous fixed value length of the value in the historical process of the target parameter; according to the actual amount of data obtained, specifying the empirical cumulative distribution threshold, and obtaining the threshold of the continuous fixed value length of the value of the target parameter; the continuous segment exceeding the threshold is judged as the deviation value, and replaced with NaN, and the result after the deviation value processing is recorded as the operation process data 3;

[0030] In the step 3, missing value processing is performed based on sample interpolation, including: missing values ​​when acquiring data are expressed as NaN values, and the NaN value at a single moment is filled with the average of the previous and next moments; continuous NaN values ​​within the maximum allowable range are filled with the sample interpolation method, otherwise they are directly deleted; and effective process data of the target parameter is obtained, which is expressed as several continuous time series.

[0031] In step S3, the construction land data in the land management data database is used to build a monitoring indicator model, including:

[0032] In the first step, the construction land data measurement model is used to uniformly calculate the similarity of the monitoring indicators of the land area under construction and the land area under completion, and the weight of each monitoring indicator is set to 1; the Euler distance is used to calculate the similarity of the monitoring indicators of the completed land area, and the Hamming distance is used to calculate the similarity of the monitoring indicators of the land area under construction. A parameter γ is added to the overall monitoring indicator of the land area under construction. l , add a weight to each monitoring indicator:

[0033]

[0034] In the formula, d(X i ,Q l ) is the similarity function of the overall construction land area monitoring index, X i is the characterization number of the current sample continuous segment, specifically referring to the current construction land area, Q l is the representation number of the continuous segment of the current completed land area, m u is the number of monitoring indicators of completed land area, is the jth monitoring index value of the completed land area, is the jth monitoring index value of the land area of ​​any completed continuous section, is the deviation value of the monitoring index of the jth continuous segment of completed land area, γ l is the monitoring index parameter of the overall construction land area, m c is the number of monitoring indicators of the land area under construction, j is the number of continuous segments, is the jth monitoring index value of the current construction land area, δ is the variance, is the jth monitoring index value of the land area of ​​any continuous construction section, is the deviation value of the monitoring index of the jth continuous section of land area under construction;

[0035] For all clusters, γ l Take the same value, which is determined according to the variance of the monitoring indicator of completed land area, and the weight of each monitoring indicator satisfies: First set them all to 1;

[0036] In the second step, k points are randomly selected as the initial monitoring centers, representing k clusters;

[0037] The third step is to assign each point to its nearest cluster according to the construction land data measurement model, and update the monitoring center after each point is assigned until all points are assigned; assign each point to its nearest cluster according to the construction land data measurement model, and update the monitoring center after each point is assigned until all points are assigned; among them, for the monitoring indicator of land area under construction, the monitoring center selects the most common value, and for the monitoring indicator of completed land area, the monitoring center selects the average value.

[0038] In the second step, k points are randomly selected as initial monitoring centers, including: using a random number generation function, selecting k points from the data set in turn, each point represents a cluster, and the monitoring center is this point.

[0039] In the third step, the initial clustering includes:

[0040] Another object of the present invention is to provide a construction land supply monitoring and supervision system, which implements the construction land supply monitoring and supervision method, and the system includes:

[0041] The knowledge relationship map construction module is used to form a knowledge relationship map covering the entire process of construction land based on a natural resource map as the basic data;

[0042] The land management data results database formation module is used to conduct data governance based on the knowledge relationship map, use the construction project ID as the unique identifier, and construct the ETL data processing model through ETL data extraction, cleaning, integration, conversion, and association to form a business-oriented land management data results database;

[0043] The monitoring indicator model building module is used to build a monitoring indicator model using the construction land data in the land management data database;

[0044] The visual display spatial query and analysis module is used to analyze the statistical characteristics, change trends, distribution, and periodicity of spatial data according to the set area and scope. For land approval, land supply, land use, supplementary cultivated land, and land law enforcement thematic data, the indicator evaluation results are displayed in the form of indicator numerical ratios, pie charts, bar charts, statistical forms, exported reports, and spatial distribution maps. The indicator evaluation results are processed from the time and space dimensions to achieve dynamic monitoring, early warning visualization and spatial query analysis of construction land management business under full-process supervision.

[0045] Combining all the above-mentioned technical solutions, the advantages and positive effects of the present invention are as follows: in view of the major needs for monitoring and supervision of construction land, and in view of the characteristics of massive data, spatial positioning, and strong timeliness, the present invention has realized a monitoring and supervision technical support platform based on Web services through key technologies, development and integration, and has constructed a mechanism for rapid acquisition and update of dynamic data throughout the supply and utilization of construction land, as well as a statistical analysis and decision-making support technology system.

[0046] The present invention adopts object-oriented software design concept, based on dynamic form technology, within the framework of Web Services technology platform, completes the automated reconstruction of construction land supervision business process, and establishes an online operation mode with four-level linkage of provinces, cities, counties and towns and collaborative supervision by relevant departments.

[0047] The present invention utilizes a distributed spatial database, integrates full-process dynamic information resources including vector data and remote sensing images based on an in-depth analysis of information flows, and uses .Net to build and deploy ArcGIS Server Web applications, which effectively solves the discovery and retrieval problems of spatial information services and realizes the comprehensive integration and management of regulatory information.

[0048] According to the hardware characteristics of the intelligent mobile terminal, based on the secondary development and function expansion of mobile GIS, the present invention adopts an improved spatial indexing algorithm to develop a post-approval supervision dynamic inspection data collection system and establishes a real-time update mechanism for post-approval supervision information.

[0049] The present invention establishes a regional construction land supply and intensive utilization early warning indicator system, constructs a macro-control decision support function module with database, model library and knowledge base as basic information support, and data comprehensive management and auxiliary decision support as supporting functions, realizing a rapid response mechanism to abnormal information disclosure. Through the promotion and application of technical achievements, the present invention further improves and makes the developed technology and software more practical, and at the same time forms an application demonstration of technical achievements, which has played a great social and economic benefit; the innovative functional design, operation mode and working mechanism of the present invention have been promoted and applied in the land market dynamic monitoring and supervision system, playing a demonstration role.

[0050] The present invention uses the agreed start time and completion time in the land supply contract, as well as the formalities handled at each stage of the project construction process, including the project planned building area, project construction building area and construction permit application time, project completion building area and completion certificate application time information, to build a post-supply full life cycle supervision model for construction land. Dynamic monitoring and supervision related information can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings herein are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description, serve to explain the principles of the present disclosure;

[0052] Figure 1 It is a flow chart of a method for monitoring and supervising the supply of construction land provided by an embodiment of the present invention;

[0053] Figure 2 This is a schematic diagram of a method for automated supervision of the entire life cycle of land use for investment projects provided by an embodiment of the present invention;

[0054] Figure 3 It is a judgment principle diagram of the post-supply life cycle supervision model for construction land provided by an embodiment of the present invention;

[0055] Figure 4 It is a diagram of a construction land supply monitoring and supervision system provided by an embodiment of the present invention;

[0056] In the figure: 1. Knowledge relationship map construction module; 2. Land management data results database formation module; 3. Monitoring indicator model construction module; 4. Visual display spatial query analysis module. DETAILED DESCRIPTION

[0057] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific implementation disclosed below.

[0058] like Figure 1 As shown, an embodiment of the present invention provides a method for monitoring and supervising the supply of construction land, including:

[0059] S1, using a natural resource map as the basic data, forms a knowledge relationship map covering the entire process of construction land;

[0060] S2, based on the knowledge relationship graph, conducts data governance, uses the construction project ID as the unique identifier, and constructs an ETL data processing model through ETL data extraction, cleaning, integration, conversion, and association to form a business-oriented land management data results database;

[0061] S3, using the construction land data in the land management data database to build a monitoring indicator model;

[0062] S4, according to the set area and scope, provides analysis services for the statistical characteristics, changing trends, distribution and periodicity of spatial data. For thematic data on land approval, land supply, land use, supplementary cultivated land and land law enforcement, it displays the indicator evaluation results in the form of indicator numerical ratios, pie charts, bar charts, statistical forms, exported reports and spatial distribution maps. It also processes the indicator evaluation results from the time and space dimensions to realize dynamic monitoring, early warning visualization and spatial query analysis of construction land management business under full-process supervision.

[0063] In the embodiment of the present invention, in step S1, a map of natural resources is used as the basic data support to analyze land management business, and a knowledge relationship map covering the entire process of construction land is formed in combination with data association relationships, guided by business processes;

[0064] The combined data association relationship includes: associating the project land supply with the project procedures through the spatial location relationship; using the project code at the time of project establishment as the key data to realize the automatic connection of the information of the procedures at each stage of the project, and judging the progress of the project construction according to the handling of the procedures at each stage of the project.

[0065] In an embodiment of the present invention, determining the progress of a project construction includes: utilizing the agreed start time and agreed completion time in the land supply contract, as well as the procedural information handled at each stage of the project construction process, including the project planned building area, the project construction building area and the construction permit processing time, the project completed building area and the completion certificate processing time information, to construct a post-supply full life cycle supervision model for construction land.

[0066] In an embodiment of the present invention, constructing a post-supply life cycle supervision model for construction land includes:

[0067] (1) Whether the construction of the land has started in accordance with the time agreed in the contract shall be determined based on whether the construction permit has been obtained for the land supplied;

[0068] (2) Based on the planned building area and the construction building area, determine whether the supplied land parcel should be partially or fully constructed;

[0069] (3) Whether the land parcel has been completed within the time agreed in the contract shall be determined based on whether the completion certificate has been obtained for the land parcel supplied;

[0070] (4) Determine whether the supplied land parcel is partially completed or fully completed based on the planned building area and the completed building area;

[0071] (5) For the case where the buildings on a single plot are relatively evenly distributed, the relative land area under construction and the relative land area completed on each plot are quantitatively estimated based on the planned building area, construction building area and completed building area on the plot, so as to achieve a quantitative analysis of the degree of development and utilization of the supplied plots.

[0072] In the embodiment of the present invention, the following formula is used to perform a qualitative analysis on the construction start land area and the completed land area of ​​the plot:

[0073] S 相对开工 =S 施工 / S 规划 ·S 供地 ;

[0074] S 相对竣工 =S 竣工 / S 规划 ·S 供地 ;

[0075] In the formula, S 相对开工 is the relative construction land area of ​​the supply plot, S 施工 is the construction area on the plot, S 规划 S is the planned building area on the plot, 供地 is the land area of ​​the supply plot, S 相对竣工 S is the relative completed land area of ​​the supplied plot, 竣工The building area of ​​the completion certificate on the plot. In the embodiment of the present invention, in step S2, the processing model of the ETL data includes:

[0076] Step 1: Processing outliers of construction land data based on the knowledge relationship graph;

[0077] Step 2, performing deviation value processing based on the distributed function;

[0078] Step 3: Process missing values ​​based on sample interpolation.

[0079] In an embodiment of the present invention, the processing of construction land data outliers based on the knowledge relationship graph in step 1 includes:

[0080] The target monitoring parameters are segmented in two ways, and the abnormal values ​​of construction land data are judged by using box plots in different segmented segments;

[0081] The processing of construction land data outliers based on the knowledge relationship graph specifically includes:

[0082] Based on the operation process data 1, the knowledge relationship graph method is used to judge the abnormal values ​​of the construction land data. For a single abnormal value of the construction land data, the mean before and after are used to fill it, and for continuous abnormal values ​​of the construction land data, NaN is replaced and recorded as the operation process data 2; wherein, the data segmentation method includes: directly based on the segmentation of the operation process data 1; based on the distribution of the working condition parameters, the segmentation of the target monitoring parameters is obtained;

[0083] The deviation value processing based on the distributed function in step 2 includes:

[0084] Based on the operation process data 2, the continuous fixed value of the numerical value in each subsequence is characterized to obtain the empirical distribution of the length of the continuous fixed value of the numerical value in the historical process of the target parameter; according to the actual amount of data obtained, the empirical cumulative distribution threshold is specified to obtain the threshold of the length of the continuous fixed value of the numerical value of the target parameter; the continuous segment exceeding the threshold is judged as a deviation value and replaced with NaN, and the result after the deviation value processing is recorded as the operation process data 3;

[0085] The deviation value processing based on the distributed function specifically includes:

[0086] Characterize the continuous constant value situation in the historical process data of the target monitoring parameter; traverse the original data sequence in order of sampling time, and the number of consecutive occurrences of the current value is the characterization value of the current continuous segment; traverse all subsequences to calculate and obtain the distributed function of the continuous segment in the process data of the target monitoring parameter;

[0087]

[0088] in, is a distribution function, I(·) is an indicator function, n is the number of samples; x is any possible value, an integer greater than 1; X i is the representation number of the continuous segment of the current sample; a threshold α is set for the distribution function to obtain a threshold L corresponding to the continuous fixed value length; when the representation value of the continuous segment exceeds the threshold L, it is considered that a deviation value occurs;

[0089] The missing value processing based on sample interpolation in step 3 includes:

[0090] For a single missing value, the mean of the previous and next values ​​is used to fill it; for consecutive missing values, if the number of consecutive missing values ​​is less than the threshold N, three sample interpolation is used, otherwise it is directly deleted;

[0091] The missing value processing based on sample interpolation specifically includes:

[0092] Missing values ​​when acquiring data are expressed as NaN values. The NaN values ​​at a single moment are filled with the average of the previous and next moments. Continuous NaN values ​​within the maximum allowable range are filled with sample interpolation methods, otherwise they are directly deleted. The effective process data of the target parameters are obtained, which are expressed as several continuous time series.

[0093] In the embodiment of the present invention, in step S3, the monitoring index model is constructed using the construction land data in the land management data database, including:

[0094] In the first step, the construction land data measurement model is used to uniformly calculate the similarity of the monitoring indicators of the land area under construction and the land area under completion, and the weight of each monitoring indicator is set to 1;

[0095] In the second step, k points are randomly selected as the initial monitoring centers, representing k clusters;

[0096] In the third step, each point is assigned to its nearest cluster according to the construction land data measurement model, and the monitoring center is updated after each point is assigned until all points are assigned.

[0097] In one embodiment, the construction land data measurement model in the first step includes: using Euler distance to calculate the similarity of the completed land area monitoring index, using Hamming distance to calculate the similarity of the started land area monitoring index, and adding a parameter γ to the overall started land area monitoring index. l , add a weight to each monitoring indicator:

[0098]

[0099] In the formula, d(X i ,Q l ) is the similarity function of the overall construction land area monitoring index, Xi is the characterization number of the current sample continuous segment, specifically referring to the current construction land area, Q l is the representation number of the continuous segment of the current completed land area, m u is the number of monitoring indicators of completed land area, is the jth monitoring index value of the completed land area, is the jth monitoring index value of the land area of ​​any completed continuous section, is the deviation value of the monitoring index of the jth continuous segment of completed land area, γ l is the monitoring index parameter of the overall construction land area, m c is the number of monitoring indicators of the land area under construction, j is the number of continuous segments, is the jth monitoring index value of the current construction land area, δ is the variance, is the jth monitoring index value of the land area of ​​any continuous construction section, is the deviation value of the monitoring index of the jth continuous section of land area under construction;

[0100] For all clusters, γ l Take the same value, which is determined according to the variance of the monitoring indicator of completed land area, and the weight of each monitoring indicator satisfies: First set them all to 1;

[0101] The initial monitoring center selection in the second step includes: using a random number generation function to select k points from the data set in sequence, each point represents a cluster, and the monitoring center is this point.

[0102] The initial clustering of the third step includes: assigning each point to its nearest cluster according to the construction land data measurement model, and updating the monitoring center after each point is assigned until all points are assigned;

[0103] Among them, for the monitoring index of land area under construction, the monitoring center selects the value that appears most frequently, and for the monitoring index of land area under completion, the monitoring center selects the average value.

[0104] Embodiment 1, with the "one map" of natural resources as the basic data support, comprehensively analyze the needs and management systems of departments involved in land management business, and take the business process as the guide to sort out the data association relationship to form a set of knowledge relationship maps covering the whole process of construction land. Based on the knowledge relationship map, data governance is carried out, and the construction project ID is used as the unique identifier. By constructing a series of ETL data extraction, cleaning, integration, conversion, and association processing models, a complete set of business-oriented land management data achievement libraries are formed. The monitoring indicator model is constructed using the achievement-oriented construction land data, and the statistical characteristics, change trends, distribution, periodicity, and correlation of spatial data are analyzed and served according to the set area and scope (province, city, county). For land approval, land supply, land use, supplementary cultivated land, and land law enforcement topics, the indicator evaluation results are displayed in the form of indicator value ratios, pie charts, bar charts, statistical forms, export reports, spatial distribution maps, etc., and the management of indicators is realized from multiple dimensions such as time and space, realizing dynamic monitoring, early warning visualization display, and spatial query analysis of construction land management business under full process supervision.

[0105] Specifically, Figure 2 As shown, the construction land supply monitoring and supervision method provided by the embodiment of the present invention includes the following steps:

[0106] S101, multi-source data acquisition and update based on the "one map" of natural resources. Through the construction and unified deployment of the provincial and municipal integrated land and space basic information platform, a provincial, municipal and county data sharing and exchange system was established to build a "one map" base map of natural resources; based on the data middle platform technology, a multi-source data organization model was established to achieve data organization and aggregation, ensuring the timely and accurate acquisition of construction land data.

[0107] The present invention realizes the collection and distribution of integrated data of provinces, cities and counties through linkage and sharing between data at all levels, thus effectively solving the problem of sharing land resource data. The construction of the "one map" basic information platform of land space supports the exchange and docking of data between ministries and provinces, realizes the real-time exchange and sharing of ministerial data, and provides technical support for the acquisition of data of the whole chain of "approval, supply, use, supplement and check" for construction land.

[0108] S102, construction land data governance based on ETL technology. In view of the fact that the data of the whole process of construction land supervision comes from different systems and databases, and the data has problems such as inconsistent coordinates, content, fields, and coordinate mismatch, ETL technology is used to extract, convert, associate and integrate data in the data governance process, realize the efficient and accurate conversion of data within different databases and within the same database, and uniformly generate a result database from multiple structured data sources, which improves the calculation, query and statistical efficiency in the data governance process.

[0109] S103, query and retrieval of construction land based on knowledge engine technology. Use knowledge engine technology to build a search tool that conforms to the habits of natural resource users, so as to realize the construction of a "knowledge graph" based on natural resource knowledge such as "location, project, plot, planning", etc. Through centralized query, business association, spatial association and temporal association are automatically established for the results, and the serial data is displayed in categories around projects, plots, resources and documents, breaking through the drawbacks of complex queries and weak associations in the original process, and realizing closed-loop query and retrieval of the whole process.

[0110] S104, intelligent decision-making support based on data mining. Based on "one picture", a unified data classification system and technical standards are established, various databases are integrated, and a big data resource center including data resource pool, theme resource pool and service resource pool is built. In the process of data governance for construction land, the indicator characteristics and statistical characteristics of thematic results are interpreted in multiple dimensions, and thematic presentations are customized, such as land approval topics, land supply topics, land law enforcement topics, etc. Through horizontal and vertical comparisons of data, multi-dimensional decision-making is provided for the supervision of construction land.

[0111] Since the data related to the post-supply supervision of construction land are scattered in different departments and the data are not shared between departments, the actual scheduling process of land project construction requires coordination between departments, which is laborious, time-consuming and error-prone. It is impossible to timely and accurately statistically analyze the progress information of land projects, and it is difficult to timely discover and track early warnings when problems arise in the development of land supply. Therefore, with land as the carrier and the procedures for various stages of land projects as the starting point, the barriers to data sharing between departments are broken, a unified database is built, the logical relationship between business data between departments is clarified, and land information is deeply integrated with project information on land, so that the life cycle of spatial plots and the life cycle of project business processes on plots are linked together, and the full life cycle supervision of construction land after supply is realized. Through spatial location relationships, the land supply of the project is associated with the project procedures; the project code at the time of project establishment is used as the key data, and "one code is connected" to realize the automatic connection of the procedural information of each stage of the project, and determine the progress of the project construction according to the handling of the procedures at each stage of the project: using the agreed start time and agreed completion time in the land supply contract, as well as the information on the procedures handled at each stage of the project construction process, such as the planned building area of ​​the project, the construction building area of ​​the project and the time for handling the construction permit, the completed building area of ​​the project and the time for handling the completion certificate, etc., to build a post-supply full life cycle supervision model for construction land, and quickly and timely count whether the supplied land has been started and completed as agreed, the development and utilization of the land, and other information, so as to urge the project to start, complete and go into production as soon as possible, and realize the automated supervision of the land use for investment projects throughout the life cycle. Figure 3 This is a schematic diagram of the post-supply life cycle supervision model for construction land provided by an embodiment of the present invention, in which judgments are made based on the following logic:

[0112] S201, based on whether the construction permit has been obtained for the supplied land, determines whether the land has been started as per the time agreed in the contract;

[0113] S202: Based on the planned building area and the constructed building area, determine whether the supplied land parcel is partially or fully started;

[0114] S203, based on whether the completion certificate has been obtained for the supplied land, determine whether the land has been completed within the time agreed in the contract;

[0115] S204: Based on the planned building area and the completed building area, determine whether the supplied land parcel is partially completed or fully completed;

[0116] S205: For the case where the buildings are evenly distributed on a single plot, the relative land area under construction and the relative land area under completion are quantitatively estimated based on the planned building area, building area under construction and building area under completion on the plot, so as to achieve a quantitative analysis of the development and utilization degree of the supplied plots. The following model formula can be used to conduct a qualitative analysis of the land area under construction and the land area under completion of the plot.

[0117] S 相对开工 =S 施工 / S 规划 ·S 供地

[0118] S 相对竣工 =S 竣工 / S 规划 ·S 供地

[0119] In the formula, S 相对开工 Indicates the relative construction land area of ​​the supply plot, S 供地 represents the land area of ​​the supply plot, S 规划 Indicates the planned building area on the plot, S 施工 Indicates the construction area on the plot, S 相对竣工 Indicates the supply plot relative to the completed land area, S 竣工 Indicates the building area of ​​the plot as certified by completion certificate.

[0120] Example 2, as another implementation of the present invention, the construction land supply monitoring and supervision method provided by the embodiment of the present invention includes:

[0121] The entire life cycle of construction land mainly includes several key stages: project land use, engineering planning permission, construction permission, project construction, and completion acceptance. Through system docking or the establishment of a data update and maintenance mechanism, the interconnection of the land supply data of the natural resources department and the approval data of various stages of projects on the land of other departments can be achieved; according to the spatial location of the land and the projects on the land, and the logical relationship between the various stages of project construction, the land development and utilization situation is supervised throughout the life cycle, and the construction progress of the supplied land can be intuitively understood.

[0122] Step 1: Through the land supply data, it can be seen that the agreed start time of Plot A is August 12, 2020. As of October 2021, the project on this plot has not yet completed the construction permit procedures. According to the construction permit application situation, the constructed judgment model is used to automatically determine that the supplied plot is a plot that has not been started as agreed; using the remote sensing images in October 2021, it can be seen through visual interpretation methods that the supplied plot did not start construction as agreed in the contract.

[0123] Step 2: Through the land supply data, it can be known that the agreed completion time of Plot B is September 25, 2021. As of October 2021, the project on this plot has not yet completed the completion registration procedures. Through the completion registration processing situation combined with the time node, it is automatically determined that the supplied plot is a plot that has not been completed as agreed; using the remote sensing images in October 2021, through visual interpretation methods, it can be seen that the supplied plot is indeed a plot that has not been completed as agreed in the contract.

[0124] Step 3: Using the land supply data provided by the natural resources department, the project planning license provided by the planning department, and the construction permit data provided by the housing and urban-rural development department, the construction area of ​​the plot can be estimated. Through the spatial location information of the land and the project, Plot C is associated with the projects on it. According to the project procedure information on Plot C, its planned building area and construction building area are calculated using the model formula. The relative construction land area of ​​the plot is calculated, and it can be seen that the plot is in the construction situation. According to the land supply data, the total land area of ​​Plot C is 46953.89m 2 Combined with the project land supply scope line, through visual interpretation of remote sensing images, the scope line of the construction that has started is drawn, with an area of ​​17004.91m 2 The error between the construction land area obtained by model calculation and visual interpretation is 7.52m 2 ,Considering the human factor of visual interpretation, it is shown that it is feasible to calculate the area of ​​land under construction using land supply data and ,the information of project engineering planning license and construction license procedures.

[0125] Step 4: Using the land supply data provided by the natural resources department, the project planning license provided by the planning approval department, and the completion certificate data provided by the housing and urban-rural construction department, the completed area of ​​the plot can be estimated. Through the spatial location information of the land and the project, plot D is associated with its investment project. According to the project procedure information on plot D, its planned construction area is 106141.40m 2 The completed building area is 59743.83m 2 , using S 相对开工 =S 施工 / S 规划 ·S 供地， S 相对竣工 =S 竣工 / S 规划 ·S 供地 , the relative completed land area of ​​the plot is calculated to be 23376.51m 2 , we can know that the plot is partially completed. According to the land supply data, the total land area of ​​plot D is 41530.91m 2 Combined with the project land supply scope line, the project has been completed and the scope of land use is drawn through remote sensing images, with an area of ​​23364.97m 2 The error between the construction land area obtained by model calculation and visual interpretation is 11.54m 2 ,Considering the human factor of visual interpretation, it is shown that it is feasible to calculate the completed land area using land supply data and ,project planning permit and completion filing procedure information.

[0126] Embodiment 3, as Figure 4 As shown, an embodiment of the present invention provides a construction land supply monitoring and supervision system, including:

[0127] Knowledge relationship map construction module 1, based on a natural resource map as the basic data, forms a knowledge relationship map covering the entire process of construction land;

[0128] Module 2 for forming a land management data database: Based on the knowledge relationship graph, data governance is carried out, and the construction project ID is used as the unique identifier. Through the extraction, cleaning, integration, conversion, and association of ETL data, an ETL data processing model is constructed to form a business-oriented land management data database.

[0129] Monitoring indicator model construction module 3, using the construction land data in the land management data database to build a monitoring indicator model;

[0130] The visualization display spatial query analysis module 4 is used to analyze the statistical characteristics, change trends, distribution, periodicity and correlation of spatial data according to the set area and scope. For land approval, land supply, land use, supplementary cultivated land and land law enforcement thematic data, the indicator evaluation results are displayed in the form of indicator value ratios, pie charts, bar charts, statistical forms, exported reports and spatial distribution maps, and the indicator evaluation results are processed from multiple dimensions of time and space to realize dynamic monitoring, early warning visualization display and spatial query analysis of construction land management business under full-process supervision.

[0131] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0132] Since the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present invention, their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0133] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment.

[0134] Based on the technical solutions described in the above embodiments of the present invention, the following application examples can be further proposed.

[0135] According to an embodiment of the present application, the present invention also provides a computer device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0136] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0137] An embodiment of the present invention further provides an information data processing terminal, which, when executed on an electronic device, provides a user input interface to implement the steps in the above method embodiments. The information data processing terminal is not limited to mobile phones, computers, and switches.

[0138] An embodiment of the present invention further provides a server, which is used to provide a user input interface to implement the steps in the above method embodiments when executed on an electronic device.

[0139] An embodiment of the present invention further provides a computer program product. When the computer program product is run on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0141] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for monitoring and supervising the supply of construction land, characterized in that: The method includes: S1, using a natural resource map as the basic data, forms a knowledge relationship map covering the entire process of construction land; S2, based on the knowledge relationship graph, conducts data governance, uses the construction project ID as the unique identifier, and constructs an ETL data processing model through ETL data extraction, cleaning, integration, conversion, and association to form a business-oriented land management data results database; S3, using the construction land data in the land management data database to build a monitoring indicator model; S4, according to the set area and scope, analyzes the statistical characteristics, change trends, distribution and periodicity of spatial data. For the special data of land approval, land supply, land use, supplementary cultivated land and land law enforcement, the indicator evaluation results are displayed in the form of indicator value ratio, pie chart, bar chart, statistical form, export report and spatial distribution map. The indicator evaluation results are processed from the time and space dimensions to realize dynamic monitoring, early warning visualization display and spatial query analysis of construction land management business under full process supervision; In step S3, the construction land data in the land management data database is used to build a monitoring indicator model, including: In the first step, the construction land data measurement model is used to uniformly calculate the similarity of the monitoring indicators of the land area under construction and the land area under completion, and the weight of each monitoring indicator is set to 1; the Euler distance is used to calculate the similarity of the monitoring indicators of the completed land area, and the Hamming distance is used to calculate the similarity of the monitoring indicators of the land area under construction. A parameter γ is added to the overall monitoring indicator of the land area under construction. l , add a weight to each monitoring indicator: In the formula, d(X i ,Q l ) is the similarity function of the overall construction land area monitoring index, X i is the characterization number of the current sample continuous segment, specifically referring to the current construction land area, Q l is the representation number of the continuous segment of the current completed land area, m u is the number of monitoring indicators of completed land area, is the weight of the jth monitoring indicator of completed land area, is the jth monitoring index value of any completed continuous land area, is the deviation value of the monitoring index of the jth continuous segment of completed land area, γ l is the monitoring index parameter of the overall construction land area, m c is the number of monitoring indicators of land area under construction, j is the number of continuous segments, is the weight of the jth monitoring indicator of the current construction land area, δ is the variance, is the jth monitoring index value of the land area of ​​any continuous construction section, is the deviation value of the monitoring index of the jth continuous section of the land area under construction; For all clusters, γ l Take the same value, which is determined according to the variance of the monitoring indicator of completed land area, and the weight of each monitoring indicator satisfies: First set them all to 1; In the second step, k points are randomly selected as the initial monitoring centers, representing k clusters; The third step is to assign each point to its nearest cluster according to the construction land data measurement model, and update the monitoring center after each point is assigned until all points are assigned; among them, for the monitoring indicator of land area under construction, the monitoring center selects the most common value, and for the monitoring indicator of completed land area, the monitoring center selects the average value.

2. The construction land supply monitoring and supervision method according to claim 1 is characterized in that: In step S1, a map of natural resources is used as basic data to form a knowledge relationship map covering the entire process of construction land, including: analyzing land management business, guided by business processes, combining data association relationships, and associating project land supply with project procedures through spatial location relationships; using the project code at the time of project establishment as key data to achieve automatic concatenation of procedural information at various stages of the project, and determining the progress of project construction based on the handling of procedures at various stages of the project, thereby forming a knowledge relationship map covering the entire process of construction land.

3. The construction land supply monitoring and supervision method according to claim 2 is characterized in that: Determine the progress of project construction, including: using the agreed start time and completion time in the land supply contract, as well as the procedures handled at each stage of the project construction process, including the project's planned building area, the project's construction area and the time it takes to handle the construction permit, the project's completed building area and the time it takes to handle the completion certificate, to build a full life cycle supervision model for construction land after supply.

4. The construction land supply monitoring and supervision method according to claim 3 is characterized in that: Construct a supervision model for the entire life cycle of construction land after supply, including: (1) Whether the construction of the land has started in accordance with the time agreed in the contract shall be determined based on whether the construction permit has been obtained for the land supplied; (2) Based on the planned building area and the construction building area, determine whether the supplied land parcel should be partially or fully constructed; (3) Whether the land parcel has been completed within the time agreed in the contract shall be determined based on whether the completion certificate has been obtained for the land parcel supplied; (4) Determine whether the supplied land parcel is partially completed or fully completed based on the planned building area and the completed building area; (5) For the case where the buildings on a single plot are relatively evenly distributed, the relative land area under construction and the relative land area completed on each plot are quantitatively estimated based on the planned building area, construction building area and completed building area on the plot, so as to achieve a quantitative analysis of the degree of development and utilization of the supplied plots.

5. The construction land supply monitoring and supervision method according to claim 4 is characterized in that: The following formula is used to quantitatively analyze the land area started and the land area completed of the plot: S 相对开工 =S 施工 / S 规划 ·S 供地 ; S 相对竣工 =S 竣工 / S 规划 ·S 供地 ; In the formula, S 相对开工 is the relative construction land area of ​​the supply plot, S 施工 is the construction area on the plot, S 规划 S is the planned building area on the plot, 供地 is the land area of ​​the supply plot, S 相对竣工 S is the relative completed land area of ​​the supplied plot, 竣工 It is the building area certified by the completion certificate on the plot of land.

6. The construction land supply monitoring and supervision method according to claim 1 is characterized in that: In step S2, the ETL data processing model includes: Step 1: Process the outliers of construction land data based on the knowledge relationship graph. The target monitoring parameters are segmented in two ways, and the box plot is used to judge the outliers of construction land data in different segments. Step 2: Process the deviation value based on the distributed function; characterize the continuous constant value in the historical process data of the target monitoring parameter; traverse the original data sequence in order of sampling time, and the number of consecutive occurrences of the current value is the characterization value of the current continuous segment; traverse all subsequences to calculate the distributed function of the continuous segment in the process data of the target monitoring parameter; in, is a distribution function, I(·) is an indicator function, n is the number of samples; x is any possible value, an integer greater than 1; X i is the representation number of the continuous segment of the current sample; a threshold α is set for the distribution function to obtain a threshold L corresponding to the continuous fixed value length; when the representation value of the continuous segment exceeds the threshold L, it is considered that a deviation value occurs; Step 3: Process missing values ​​based on sample interpolation. For a single missing value, fill it with the average of the previous and next values. For consecutive missing values, if the number of consecutive missing values ​​is less than the threshold N, use three sample interpolations, otherwise delete them directly.

7. The construction land supply monitoring and supervision method according to claim 6 is characterized in that: In the step 1, processing of construction land data outliers is performed based on the knowledge relationship graph, including: judging the construction land data outliers based on the operation process data 1 by using the knowledge relationship graph method, filling the single construction land data outliers with the mean before and after, and replacing the continuous construction land data outliers with NaN, which are recorded as the operation process data 2; wherein the data segmentation method includes: segmentation directly based on the operation process data 1; segmentation of the target monitoring parameters is obtained based on the distribution of the operating condition parameters; In the step 2, the deviation value processing is performed based on the distributed function, including: based on the operation process data 2, characterizing the continuous fixed value of the values ​​in each subsequence, and obtaining the empirical distribution of the continuous fixed value length of the value in the historical process of the target parameter; according to the actual amount of data obtained, specifying the empirical cumulative distribution threshold, and obtaining the threshold of the continuous fixed value length of the value of the target parameter; the continuous segment exceeding the threshold is judged as the deviation value, and replaced with NaN, and the result after the deviation value processing is recorded as the operation process data 3; In the step 3, missing value processing is performed based on sample interpolation, including: missing values ​​when acquiring data are expressed as NaN values, and the NaN value at a single moment is filled with the average of the previous and next moments; continuous NaN values ​​within the maximum allowable range are filled with the sample interpolation method, otherwise they are directly deleted; and effective process data of the target parameter is obtained, which is expressed as several continuous time series.

8. The construction land supply monitoring and supervision method according to claim 1 is characterized in that: In the second step, k points are randomly selected as initial monitoring centers, including: using a random number generation function, selecting k points from the data set in turn, each point represents a cluster, and the monitoring center is this point.

9. A construction land supply monitoring and supervision system, characterized in that: The system implements the construction land supply monitoring and supervision method according to any one of claims 1 to 8, and the system comprises: The knowledge relationship graph construction module (1) is used to form a knowledge relationship graph covering the entire process of construction land based on a natural resource map as basic data; The land management data result database formation module (2) is used to perform data governance based on the knowledge relationship graph, use the construction project ID as the unique identifier, extract, clean, integrate, convert and associate ETL data, build an ETL data processing model, and form a business-oriented land management data result database; A monitoring indicator model building module (3) is used to build a monitoring indicator model using the construction land data in the land management data database; The visualization display spatial query analysis module (4) is used to analyze the statistical characteristics, change trends, distribution and periodicity of spatial data according to the set area and scope. It displays the index evaluation results in the form of index value ratios, pie charts, bar charts, statistical forms, export reports and spatial distribution maps for thematic data on land approval, land supply, land use, supplementary cultivated land and land law enforcement, and processes the index evaluation results from the time and space dimensions to realize dynamic monitoring, early warning visualization display and spatial query analysis of construction land management business under full-process supervision.

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