Territorial space purpose control index evaluation monitoring method and system

Abstract

The invention provides a territorial space purpose control index evaluation monitoring method and system, and relates to the technical field of index evaluation monitoring, and the method comprises the steps: carrying out the stage division of a whole life cycle according to a construction project plan, obtaining a plurality of monitoring stages, carrying out the division of monitoring indexes according to the characteristics of the monitoring indexes, and obtaining the information of the monitoring indexes; monitoring the territorial space purpose data according to monitoring index information to obtain monitoring data, calculating an evaluation index hierarchy coefficient according to the monitoring data, and performing evaluation layering on the monitoring data according to the evaluation index hierarchy coefficient to obtain multi-hierarchy data; establishing a judgment matrix according to the evaluation hierarchy information, and performing consistency check; and calculating a purpose control evaluation value, and evaluating and grading the territorial space purpose control according to the purpose control evaluation value, thereby realizing comprehensive, accurate and scientific monitoring and evaluation of the territorial space purpose control.

Description

Technical Field

[0001] The present invention proposes a method and system for evaluating and monitoring indicators for land use control, and relates to the technical field of indicator evaluation and monitoring. Background Art

[0002] Traditional land use control methods often focus on a single indicator or stage, lacking comprehensive consideration and evaluation of the entire life cycle, making it difficult to fully reflect the actual situation and potential problems of land use. Currently, although some monitoring and evaluation methods for land use control exist, these methods often have the following shortcomings: First, there is a lack of a full-life cycle monitoring and evaluation mechanism, which cannot fully reflect all stages and links in the planning implementation process; second, the monitoring indicators are too simple or too complex to accurately reflect the actual situation of land use control; third, the evaluation methods lack scientificity and objectivity and are easily influenced by subjective factors, resulting in inaccurate or biased evaluation results. Summary of the Invention

[0003] The present invention provides a method and system for evaluating and monitoring indicators for land and space use control, which aims to address the following issues: traditional land and space use control methods often focus on a single indicator or stage, lack comprehensive consideration and evaluation of the entire life cycle, lack a monitoring and evaluation mechanism for the entire life cycle, and have monitoring indicators that are too simple or too complex to accurately reflect the actual situation of land and space use control; and evaluation methods lack scientificity and objectivity, are easily influenced by subjective factors, resulting in inaccurate or biased evaluation results, and are difficult to conduct automated and intelligent monitoring and evaluation. The present invention proposes a method and system for evaluating and monitoring land use control indicators, the method comprising: S1. Divide the entire life cycle into stages according to the construction project plan to obtain multiple monitoring stages, and divide the monitoring indicators according to their characteristics to obtain monitoring indicator information; S2. Monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient based on the monitoring data, and evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient to obtain multi-level data; S3. Establish a judgment matrix based on the evaluation level information and perform consistency check; S4. Calculate the use control assessment value based on multi-level data, and evaluate and grade the land space use control based on the use control assessment value.

[0004] Furthermore, the system includes: The phase indicator division module is used to divide the entire life cycle into phases according to the construction project plan, obtain multiple monitoring phases, divide the monitoring indicators according to their characteristics, and obtain monitoring indicator information; An indicator hierarchy analysis module is used to monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient according to the monitoring data, evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient, and obtain multi-level data; The judgment and verification module is used to establish a judgment matrix based on the evaluation level information and perform consistency verification; The evaluation and grading module is used to calculate the use control evaluation value based on multi-level data, and evaluate and grade the land space use control based on the use control evaluation value.

[0005] Beneficial effects of the present invention: By dividing the entire life cycle of construction project planning into stages, comprehensive monitoring of land use control is ensured. This can timely discover and solve potential problems in each stage, and dividing the monitoring indicators according to their characteristics can ensure the accuracy and pertinence of the monitoring data. By evaluating and stratifying the monitoring data, multi-level data can be obtained. By establishing a judgment matrix and performing a consistency test, the objectivity and fairness of the evaluation results can be ensured. The use control evaluation value calculated in combination with the judgment matrix and consistency test information can accurately reflect the actual situation of land use control. By evaluating and grading land use control, the control focus and priority of different regions can be clarified, resource allocation can be optimized, and the efficiency of land use can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 This is a schematic diagram of a method for evaluating and monitoring land use control indicators; Figure 2 A schematic diagram of the hierarchical system. DETAILED DESCRIPTION

[0007] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0008] In one embodiment of the present invention, a method and system for evaluating and monitoring land use control indicators are proposed, the method comprising: S1. Divide the entire life cycle into stages according to the construction project plan to obtain multiple monitoring stages, and divide the monitoring indicators according to their characteristics to obtain monitoring indicator information; S2. Monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient based on the monitoring data, and evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient to obtain multi-level data; S3. Establish a judgment matrix based on the evaluation level information and perform consistency check; S4. Calculate the use control assessment value based on the multi-level data, and evaluate and grade the land use control based on the use control assessment value, such as Figure 1 shown.

[0009] The working principle of the above technical solution is: divide the entire life cycle into stages according to the construction project plan to obtain multiple monitoring stages, each stage of the entire life cycle is a monitoring stage, divide the monitoring indicators according to the characteristics of the monitoring indicators, and obtain monitoring indicator information; monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient according to the monitoring data, evaluate and layer the monitoring data according to the evaluation indicator hierarchy coefficient, and obtain multi-level data; establish a judgment matrix according to the evaluation hierarchy information and perform consistency test; calculate the use control evaluation value based on the multi-level data, and evaluate and grade the land space use control according to the use control evaluation value.

[0010] The technical effect of the above technical solution is: by dividing the entire life cycle of construction project planning into stages, comprehensive monitoring of land use control is ensured. This can timely discover and solve potential problems in each stage, and dividing the monitoring indicators according to their characteristics can ensure the accuracy and pertinence of the monitoring data. By evaluating and stratifying the monitoring data, multi-level data can be obtained. By establishing a judgment matrix and performing consistency tests, the objectivity and fairness of the evaluation results can be ensured. The use control assessment value calculated by combining the judgment matrix and consistency test information can accurately reflect the actual situation of land use control. By evaluating and grading land use control, the control focus and priority of different regions can be clarified, resource allocation can be optimized, and the efficiency of land use can be improved.

[0011] In one embodiment of the present invention, the S1 includes: Divide the entire life cycle into stages according to the types of construction projects in the entire life cycle of land and space use control, and obtain multiple monitoring stages; The monitoring indicators of each monitoring stage are classified according to the characteristics of the monitoring indicators to obtain multiple indicator classifications. The indicator classifications are deeply classified according to different types of the indicator classifications to obtain indicator deep classifications. The indicator information obtained by the indicator deep classification is the monitoring indicator information.

[0012] Adjust each monitoring indicator information to obtain indicator variables of other monitoring indicators; Comparing the indicator variable with a preset indicator variable threshold to obtain an indicator variable comparison result; Determining an impact change monitoring indicator based on the comparison results of the indicator variables; The monitoring indicator information is combined with the corresponding impact change monitoring indicator to obtain an indicator impact combination.

[0013] The working principle of the above technical solution is as follows: the entire life cycle of land and space use control is divided into stages according to the type of construction project within the life cycle, resulting in multiple monitoring stages. The entire life cycle of land and space use control reflects the gradual implementation of construction projects in spatial units according to land and space planning in a time series, and can be divided into five stages: construction project planning site selection and land use pre-examination, agricultural land conversion and land expropriation, construction land planning permit, construction project planning permit, land verification and planning verification. In rural areas, rural construction planning permits may be included as required. According to the characteristics of different indicators, monitoring indicators are divided into five aspects: bottom-line control, conservation and utilization, overall plan compliance, approval standardization, and construction standardization.

[0014] The monitoring indicators are classified according to their characteristics to obtain multiple indicator classifications. The indicator classifications are deeply classified according to different types of the indicator classifications to obtain in-depth indicator classifications. The indicator information obtained from the in-depth indicator classification is the monitoring indicator information. Taking into account the characteristics of the entire life cycle of land use control, targeted monitoring indicators are formulated for stages such as construction project planning and site selection and land use pre-examination, agricultural land conversion and land expropriation, construction land planning permits, construction project planning permits, rural construction planning permits, land verification and planning verification. Based on the characteristics of monitoring indicators at different stages, they are classified into five aspects: bottom-line control, conservation and utilization, overall planning compliance, approval standardization and construction standardization, and refined to form "five stages and five aspects" of monitoring indicators. Monitoring indicators are preset indicators.

[0015] The technical solution achieves the following: By meticulously categorizing construction project types throughout the life cycle of land and space use control, multiple monitoring phases are established. This detailed categorization comprehensively covers all aspects of land and space use control, ensuring an in-depth understanding and accurate monitoring of the entire life cycle. By deeply classifying indicators based on their characteristics, the content of monitoring indicators is further refined, improving the relevance and accuracy of monitoring. This classification approach enables the construction of a comprehensive, systematic, and scientific monitoring indicator system. Taking into account the characteristics of the life cycle of land and space use control, the technical solution specifically develops monitoring indicators applicable to different phases. These indicators reflect the key tasks and requirements of each phase and embody the core objectives and principles of land and space use control. This targeted development approach ensures the effectiveness and practicality of monitoring efforts. By evaluating and stratifying monitoring data, establishing a judgment matrix, and combining consistency test information to calculate use control assessment values, a comprehensive and in-depth evaluation and grading of land and space use control can be achieved. By meticulously categorizing monitoring indicators throughout the entire life cycle, categorizing and deeply classifying them, and developing targeted monitoring indicators, comprehensive, accurate, and scientific monitoring and evaluation of land and space use control are achieved.

[0016] In one embodiment of the present invention, S2 includes: Monitor the land space usage data according to the monitoring indicator information to obtain monitoring data of the land space usage data of each monitoring indicator; Preprocessing the monitoring data to obtain preprocessed monitoring data, and calculating the evaluation index level coefficient based on the preprocessed monitoring data; Comparing the evaluation index level coefficient with a preset coefficient threshold to obtain a comparison result; According to the comparison result, the monitoring data corresponding to the evaluation index level coefficient is divided into the evaluation index level of the corresponding preset index level to obtain multi-level data. The multi-level data includes a target level, a criterion level and an index level.

[0017] Adjust the data at each level to obtain the hierarchical variables of other evaluation indicator levels; Comparing the hierarchical variable with a preset hierarchical variable threshold to obtain a hierarchical variable comparison result; Determine the impact change monitoring level based on the level variable comparison results; The hierarchical data is combined with the corresponding impact change monitoring level to obtain a hierarchical impact combination.

[0018] The working principle of the above technical solution is: monitoring the land space usage data according to the monitoring indicator information to obtain the monitoring data of the land space usage data of each monitoring indicator; Preprocessing the monitoring data to obtain preprocessed monitoring data, and calculating the evaluation index level coefficient based on the preprocessed monitoring data; The calculation formula of the evaluation index level coefficient is: in, is the evaluation index level coefficient, m is the total number of indicators in the criterion layer, is the weight of the ith indicator in the criterion layer, is the monitoring data of the ith indicator in the criterion layer, z is the number of criterion layers, is the weight of the j-th criterion layer, is the monitoring data of the jth criterion layer, and the sum of all weights is 1.

[0019] Compare the evaluation index level coefficient with the preset coefficient threshold to obtain a comparison result; divide the monitoring data corresponding to the evaluation index level coefficient into the evaluation index level of the corresponding preset index level according to the comparison result to obtain multi-level data. The preset index level includes the target layer, the criterion layer and the indicator layer. Target layer: The target layer is the final reflection of the indicators at each layer. After evaluating various indicators of land use control through this system, the overall situation of the implementation of use control is obtained. Criterion layer: Taking into account the five factors affecting bottom line control, conservation and utilization, overall planning compliance, approval standardization and construction standardization, the target layer is refined and studied to form an evaluation criterion layer. Indicator layer: The evaluation indicators are optimized and classified according to the requirements of the criterion layer to form an indicator layer, and evaluation is carried out at this layer. Through The criterion layer coefficient can be calculated by The target layer coefficient can be calculated by A hierarchical coefficient can be calculated, which can be viewed as the importance or contribution of each layer relative to the previous layer. For the indicator layer, its hierarchical coefficient is its weight; for the criterion layer, its hierarchical coefficient can be calculated by comparing its monitoring data to the total monitoring data of the target layer. When the hierarchical coefficient of an evaluation indicator falls within the preset threshold range of a layer, the corresponding monitoring data is assigned to that layer. The technical effect of the above technical solution is to comprehensively monitor land and space use data based on monitoring indicator information, ensuring data accuracy and completeness. By collecting land and space use data for each monitoring indicator, the monitoring data is preprocessed, including data cleaning and standardization, to eliminate outliers and noise, improving data quality and reliability. This reduces errors and biases in the evaluation process, making the evaluation results more accurate and reliable. The hierarchical coefficients of the evaluation indicators are calculated based on the preprocessed monitoring data. The coefficients reflect the importance and influence of different monitoring indicators in land and space use control. The hierarchical coefficients of the evaluation indicators are compared with the preset coefficient thresholds, and based on the comparison results, the monitoring data is assigned to the corresponding evaluation indicator layers within the preset indicator layers, forming multi-level data. This multi-level data segmentation enables a refined assessment of land and space use control, providing a deeper understanding of the actual conditions and problems at every level and stage. By establishing a target layer, a criteria layer, and an indicator layer, a comprehensive assessment system has been constructed. This system comprehensively reflects all aspects and levels of land and space use control. Through comprehensive monitoring, data preprocessing, scientific calculation of evaluation indicator coefficients, and multi-level data segmentation, a refined assessment of land and space use control is achieved.

[0020] In one embodiment of the present invention, the S3 includes: obtaining a plurality of relative weights by comparing the target layer indicator with the criterion layer indicator; the criterion layer indicator is an indicator of the criterion layer.

[0021] Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ;w i and w j are the relative weights of target i and target j respectively; Form a judgment matrix A through multiple relative weights; A consistency test is performed to determine whether the hierarchical single ordering can be confirmed, and whether the weight vector passes the consistency test is determined based on the consistency index to obtain a judgment result.

[0022] The working principle of the above technical solution is as follows: by comparing the target layer indicators with the criterion layer indicators, multiple relative weights are obtained, that is, the importance of the lower layer to the upper layer; Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ;w i and w j are the relative weights of target i and target j respectively; i = 1, 2, 3, 4, 5, ... n of the target layer indicator, j = 1, 2, 3, 4, 5, ... n of the criterion layer; Form a judgment matrix A through multiple relative weights; Among them, ... is W3 to W n-1 The corresponding relative weight. The judgment matrix can reduce the interference of other matrices.

[0023] The Satty scale can be used to reflect the relative importance of the comparison targets to determine the value of aij, as shown in the following table:

[0024] A consistency test is performed to determine whether the hierarchical single ordering can be confirmed. The weight vector is judged based on the consistency index to determine whether it passes the consistency test and obtain the judgment result. If it fails, the random consistency ratio is calculated, or the judgment matrix is ​​updated and the random consistency ratio is recalculated until it is less than or equal to 0.1. The consistency index is: Among them, λmax is the maximum eigenvalue of the judgment matrix A; n is the matrix dimension.

[0025] If the obtained test index CI=0, then it proves that the weight vector has passed the consistency test; if the obtained test index CI≠0, it is necessary to calculate the random consistency ratio: Among them, RI is the random consistency index value. If CR≤0.1, it means that the weight vector has passed the consistency test; if CR>0.1, it means that the weight vector has not passed the consistency test, and it is necessary to solve it fundamentally, that is, change the judgment matrix, and then perform the above calculation steps again until CR≤0.1, such as Figure 2 shown.

[0026] The technical effect of the above technical solution is that by comparing the indicators at the target layer with the indicators at the criterion layer, multiple relative weights are obtained, representing the importance of the lower layer relative to the upper layer. This relative weight determination method, based on mathematical principles, objectively and accurately reflects the relationship and importance of each indicator, avoiding subjective assumptions and bias. Using the multiple relative weights obtained, a judgment matrix is ​​constructed. The matrix clearly displays the relative relationship between the target layer and the criterion layer. Consistency testing of the judgment matrix ensures the accuracy and reliability of the weight vectors. This consistency test verifies the logic and rationality of the judgment matrix, avoiding errors or biases caused by subjective factors. If the consistency test fails, the evaluation results are recalculated by calculating the random consistency ratio or updating the judgment matrix until consistency is met, ensuring the accuracy and validity of the evaluation results. By determining the relative weights between the target layer and the criterion layer and then undergoing consistency testing, this weight information allows decision makers to understand the relative importance and influence of different indicators in land and space use control. Through the scientific determination of relative weights, the formation of the judgment matrix, and the consistency test, objective and accurate weight information is provided for land and space use control assessments, thereby improving the efficiency and level of land and space utilization. In one embodiment of the present invention, the S4 includes: Calculate use control assessment values ​​based on multi-level data, etc.; The use control assessment value and the preset assessment threshold are compared to obtain a comparison result, and the land space use control monitoring level is obtained based on the comparison result combined with the preset assessment grade; when the use control assessment value is greater than 85% of the preset assessment threshold, the land space use control monitoring level is excellent; when the use control assessment value is between 60% and 85% of the preset assessment threshold, the land space use control monitoring level is qualified; when the use control assessment value is less than 60% of the preset assessment threshold, the land space use control monitoring level is unqualified.

[0027] The working principle of the above technical solution is as follows: after passing the one-time inspection, the use control assessment value is calculated based on multi-level data; The calculation formula for the use control assessment value is: in, is the use control assessment value, is the total weight of the target layer indicators, is the total weight of the criterion layer indicators, ɑ is the amount of combined data affecting the indicators (unitless), and takes the value of 0.1 when the data is 0. Monitor the qualified rate of data indicators for the target layer. is the qualified rate of monitoring data at the criterion layer, β is the amount of combined data of hierarchical influence (unitless), and takes the value of 0.1 when the data is 0.

[0028] The technical solution described above has the following benefits: By calculating a land use control assessment value, the actual situation and effectiveness of land use control can be objectively and comprehensively reflected. This assessment value, based on a scientific mathematical model and weighting system, comprehensively considers the importance and influence of different indicators, avoiding the limitations of single indicators or subjective judgment. By comparing the land use control assessment value with a preset assessment threshold, the monitoring level of land use control can be accurately determined. This classification method considers both the absolute value of the assessment value and its relative proportion, making the monitoring level division more reasonable and accurate. Different monitoring levels correspond to different land use control effectiveness and problems. For areas rated as excellent, existing control measures can be maintained and optimized; for areas rated as qualified, improvements and enhancements should be made to address existing problems; and for areas rated as unqualified, control measures should be strengthened and more stringent measures should be implemented to improve land use. Through refined land use control assessments and monitoring level divisions, problems and shortcomings in land use can be promptly identified and addressed. This can improve land use efficiency, optimize resource allocation, and protect the ecological environment. By calculating the use control assessment value and dividing the monitoring levels, the efficiency and level of land space utilization can be improved.

[0029] In one embodiment of the present invention, the system includes: The phase indicator division module is used to divide the entire life cycle into phases according to the construction project plan, obtain multiple monitoring phases, divide the monitoring indicators according to their characteristics, and obtain monitoring indicator information; An indicator hierarchy analysis module is used to monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient according to the monitoring data, evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient, and obtain multi-level data; The judgment and verification module is used to establish a judgment matrix based on the evaluation level information and perform consistency verification; The evaluation and grading module is used to calculate the use control evaluation value based on multi-level data, and evaluate and grade the land space use control based on the use control evaluation value.

[0030] The working principle of the above technical solution is: the stage indicator division module is used to divide the entire life cycle into stages according to the construction project plan, obtain multiple monitoring stages, divide the monitoring indicators according to the characteristics of the monitoring indicators, and obtain monitoring indicator information; the indicator hierarchy analysis module is used to monitor the land space use data according to the monitoring indicator information, obtain monitoring data, calculate the evaluation indicator hierarchy coefficient according to the monitoring data, evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient, and obtain multi-level data; the judgment and inspection module is used to establish a judgment matrix according to the evaluation hierarchy information and perform consistency inspection; the evaluation grading module is used to calculate the use control evaluation value based on multi-level data, and evaluate and grade the land space use control according to the use control evaluation value.

[0031] The technical effect of the above technical solution is: by dividing the entire life cycle of construction project planning into stages, comprehensive monitoring of land use control is ensured. This can timely discover and solve potential problems in each stage, and dividing the monitoring indicators according to their characteristics can ensure the accuracy and pertinence of the monitoring data. By evaluating and stratifying the monitoring data, multi-level data can be obtained. By establishing a judgment matrix and performing consistency tests, the objectivity and fairness of the evaluation results can be ensured. The use control assessment value calculated by combining the judgment matrix and consistency test information can accurately reflect the actual situation of land use control. By evaluating and grading land use control, the control focus and priority of different regions can be clarified, resource allocation can be optimized, and the efficiency of land use can be improved.

[0032] In one embodiment of the present invention, the stage indicator division module includes: The phase division module is used to divide the entire life cycle into phases according to the types of construction projects in the entire life cycle of land and space use control, and obtain multiple monitoring phases; The indicator classification module is used to classify the monitoring indicators according to the characteristics of the monitoring indicators to obtain multiple indicator classifications, and to deeply classify the indicator classifications according to the different types of the indicator classifications to obtain indicator deep classifications. The indicator information obtained by the indicator deep classification is the monitoring indicator information.

[0033] The working principle of the above technical solution is as follows: the stage division module is used to divide the entire life cycle of land and space use control into stages according to the type of construction project, obtaining multiple monitoring stages; the entire life cycle of land and space use control reflects the gradual implementation of construction projects in spatial units according to land and space planning in a time series, and can be divided into five stages: construction project planning site selection and land use pre-examination, agricultural land conversion and land expropriation, construction land planning permit, construction project planning permit, land verification and planning verification; in rural areas, rural construction planning permit may be included as required. According to the characteristics of different indicators, the monitoring indicators are divided into five aspects: bottom-line control, conservation and utilization, overall planning compliance, approval standardization, and construction standardization.

[0034] The indicator classification module is used to classify monitoring indicators according to their characteristics, obtain multiple indicator classifications, and deeply classify indicator classifications according to different types of the indicator classifications to obtain deep indicator classifications. The indicator information obtained by the deep indicator classification is the monitoring indicator information. Taking into account the characteristics of the entire life cycle of land use control, targeted monitoring indicators are formulated for stages such as construction project planning and site selection and land use pre-examination, agricultural land conversion and land expropriation, construction land planning permits, construction project planning permits, rural construction planning permits, land verification and planning verification. Then, based on the characteristics of monitoring indicators at different stages, they are classified into five aspects: bottom-line control, conservation and utilization, overall planning compliance, approval standardization, and construction standardization, and refined to form "five stages and five aspects" of monitoring indicators.

[0035] The technical effect of the above technical solution is as follows: by finely dividing the types of construction projects throughout the life cycle of land and space use control, multiple monitoring stages are obtained. This fine division can comprehensively cover all aspects of land and space use control, ensuring an in-depth understanding and accurate monitoring of the entire life cycle. By deeply classifying the indicators based on their different characteristics, the content of the monitoring indicators is further refined, improving the relevance and accuracy of the monitoring. This classification method can build a comprehensive, systematic, and scientific monitoring indicator system. Taking into account the characteristics of the entire life cycle of use control, the technical solution has targetedly formulated monitoring indicators applicable to different stages. These indicators not only reflect the key tasks and requirements of each stage, but also embody the core objectives and principles of land and space use control. This targeted formulation method can ensure the effectiveness and practicality of the monitoring work. By evaluating and stratifying the monitoring data and establishing a judgment matrix, and combining consistency test information to calculate the use control assessment value, the technical solution can conduct a comprehensive and in-depth evaluation and grading of land and space use control. By finely dividing the entire life cycle, classifying and deeply classifying monitoring indicators, and formulating targeted monitoring indicators, comprehensive, accurate, and scientific monitoring and evaluation of land and space use control are achieved. In one embodiment of the present invention, the indicator hierarchy analysis module includes: A monitoring module is used to monitor the land space usage data according to the monitoring indicator information and obtain monitoring data of the land space usage data of each monitoring indicator; A coefficient calculation module is used to preprocess the monitoring data to obtain preprocessed monitoring data, and calculate the evaluation index level coefficient based on the preprocessed monitoring data; Comparing the evaluation index level coefficient with a preset coefficient threshold to obtain a comparison result; The grading module is used to classify the monitoring data corresponding to the evaluation index level coefficient into the evaluation index level of the corresponding preset index level according to the comparison result to obtain multi-level data.

[0036] The working principle of the above technical solution is as follows: the monitoring module is used to monitor the land space usage data according to the monitoring indicator information and obtain the monitoring data of the land space usage data of each monitoring indicator; A coefficient calculation module is used to preprocess the monitoring data to obtain preprocessed monitoring data, and calculate the evaluation index level coefficient based on the preprocessed monitoring data; The calculation formula of the evaluation index level coefficient is: in, is the evaluation index level coefficient, m is the total number of indicators in the criterion layer, is the weight of the ith indicator in the criterion layer, is the monitoring data of the ith indicator in the criterion layer, z is the number of criterion layers, is the weight of the j-th criterion layer, is the monitoring data of the jth criterion layer, and the sum of all weights is 1.

[0037] Comparing the evaluation index level coefficient with a preset coefficient threshold to obtain a comparison result; The grading module is used to classify the monitoring data corresponding to the evaluation indicator level coefficient into the evaluation indicator level of the corresponding preset indicator level according to the comparison result, and obtain multi-level data. The preset indicator level includes the target level, the criterion level and the indicator level. Target level: The target level is the final reflection of the indicators of each level. After evaluating various indicators of land use control through this system, the overall situation of the implementation of use control is obtained. Criterion level: Taking into account the five factors affecting bottom-line control, conservation and utilization, overall planning compliance, approval standardization and construction standardization, the target level is refined and studied to form an evaluation criterion level. Indicator level: The evaluation indicators are optimized and classified according to the requirements of the criterion level to form an indicator level, and evaluation is carried out at this level.

[0038] The technical solution described above achieves the following: comprehensive monitoring of land and space use data based on monitoring indicator information ensures data accuracy and completeness. Land and space use data for each monitoring indicator is collected. Preprocessing of the monitoring data, including data cleaning and standardization, eliminates outliers and noise, improving data quality and reliability. This reduces errors and biases in the evaluation process, making the evaluation results more accurate and reliable. Evaluation indicator hierarchy coefficients are calculated based on the preprocessed monitoring data. These coefficients reflect the importance and influence of different monitoring indicators in land and space use control. The evaluation indicator hierarchy coefficients are compared with preset coefficient thresholds, and based on the comparison results, the monitoring data is classified into corresponding evaluation indicator hierarchies within the preset indicator hierarchy, generating multi-level data. This multi-level data division enables refined assessment of land and space use control, providing a deeper understanding of the actual conditions and problems at each level and stage. By establishing the target layer, criterion layer, and indicator layer, a comprehensive evaluation system is constructed. This system comprehensively reflects all aspects and levels of land and space use control.

[0039] Through comprehensive monitoring, data preprocessing, scientific calculation of evaluation index hierarchical coefficients, and multi-level data division, a refined assessment of land space use control has been achieved.

[0040] In one embodiment of the present invention, the judgment and verification module includes: A weight analysis module, for obtaining a plurality of relative weights by comparing target layer indicators with criterion layer indicators; Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ;w i and w j are the relative weights of target i and target j respectively; Form a judgment matrix A through multiple relative weights; The consistency check module is used to perform consistency check on whether the hierarchical single sorting can be confirmed, and to determine whether the weight vector passes the consistency check based on the consistency index to obtain a judgment result.

[0041] The working principle of the above technical solution is as follows: the weight analysis module is used to obtain multiple relative weights, that is, the importance of the lower layer to the upper layer, by comparing the target layer indicators with the criterion layer indicators; Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ;w i and w j are the relative weights of target i and target j respectively; i = 1, 2, 3, 4, 5, ... n of the target layer indicator, j = 1, 2, 3, 4, 5, ... n of the criterion layer; Form a judgment matrix A through multiple relative weights; Among them, ... is W3 to W n-1 The corresponding relative weight. The judgment matrix can reduce the interference of other matrices.

[0042] The consistency check module is used to check whether the hierarchical single order can be confirmed. It determines whether the weight vector passes the consistency check based on the consistency index and obtains the judgment result. If it fails, the random consistency ratio is calculated, or the judgment matrix is ​​updated to recalculate the random consistency ratio until it is less than or equal to 0.1. The consistency index is: Where λmax is the maximum eigenvalue of the judgment matrix A; n is the matrix dimension.

[0043] If the obtained test index CI=0, then it proves that the weight vector has passed the consistency test; if the obtained test index CI≠0, it is necessary to calculate the random consistency ratio: In the formula, if CR≤0.1, it indicates that the weight vector has passed the consistency test; if CR>0.1, it indicates that the weight vector has not passed the consistency test, and it is necessary to solve the problem fundamentally, that is, change the judgment matrix, and then perform the above calculation steps again until CR≤0.1.

[0044] The technical effect of the above technical solution is that by comparing the indicators at the target layer with the indicators at the criterion layer, multiple relative weights are obtained, representing the importance of the lower layer relative to the upper layer. This relative weight determination method, based on mathematical principles, objectively and accurately reflects the relationship and importance of each indicator, avoiding subjective assumptions and bias. Using the multiple relative weights obtained, a judgment matrix is ​​constructed. This matrix clearly displays the relative relationship between the target layer and the criterion layer. Consistency testing of the judgment matrix ensures the accuracy and reliability of the weight vectors. This consistency test verifies the logic and rationality of the judgment matrix, avoiding errors or biases caused by subjective factors. If the consistency test fails, the evaluation results are recalculated by calculating the random consistency ratio or updating the judgment matrix until consistency is met, ensuring the accuracy and validity of the evaluation results. By determining the relative weights between the target layer and the criterion layer and then undergoing consistency testing, this weight information allows decision makers to understand the relative importance and influence of different indicators in land and space use control. Through the scientific determination of relative weights, the formation of the judgment matrix, and consistency testing, objective and accurate weight information is provided for land and space use control assessments, which can improve the efficiency and level of land and space utilization.

[0045] In one embodiment of the present invention, the evaluation and grading module includes: An evaluation calculation module, used to calculate the use control evaluation value based on multi-level data; The comparison and grading module is used to compare the use control assessment value and the preset assessment threshold to obtain a comparison result, and obtain the land space use control monitoring level based on the comparison result combined with the preset assessment grading; when the use control assessment value is greater than 85% of the preset assessment threshold, the land space use control monitoring level is excellent; when the use control assessment value is between 60% and 85% of the preset assessment threshold, the land space use control monitoring level is qualified; when the use control assessment value is less than 60% of the preset assessment threshold, the land space use control monitoring level is unqualified.

[0046] The working principle of the above technical solution is as follows: the evaluation calculation module is used to calculate the use control evaluation value based on multi-level data; The calculation formula for the use control assessment value is: in, is the use control assessment value, is the total weight of the target layer indicators, is the total weight of the criterion layer indicators, ɑ is the amount of combined data affected by the indicators (unitless), Monitor the qualified rate of data indicators for the target layer. is the qualified rate of monitoring data at the criterion layer, and β is the amount of hierarchical impact combination data (unitless).

[0047] The comparison and grading module is used to compare the use control assessment value and the preset assessment threshold to obtain a comparison result, and obtain the land space use control monitoring level based on the comparison result combined with the preset assessment grading; when the use control assessment value is greater than 85% of the preset assessment threshold, the land space use control monitoring level is excellent; when the use control assessment value is between 60% and 85% of the preset assessment threshold, the land space use control monitoring level is qualified; when the use control assessment value is less than 60% of the preset assessment threshold, the land space use control monitoring level is unqualified.

[0048] The technical effect of the above-mentioned technical solution is that by calculating the use control assessment value, the actual situation and effectiveness of land use control can be objectively and comprehensively reflected. This assessment value, based on a scientific mathematical model and weighting system, comprehensively considers the importance and influence of different indicators, avoiding the limitations of single indicators or subjective judgment. By comparing the use control assessment value with a preset assessment threshold, the monitoring level of land use control can be accurately determined. This classification method considers both the absolute value of the assessment value and the relative proportion, making the classification of monitoring levels more reasonable and accurate. Different monitoring levels correspond to different land use control effects and problems. For areas rated as excellent, existing control measures can be maintained and optimized; for areas rated as qualified, improvements and enhancements should be made to address existing problems; for areas rated as unqualified, control measures should be strengthened and more stringent measures should be implemented to improve land use. By conducting a refined assessment of land use control and classifying monitoring levels, problems and shortcomings in land use can be promptly identified and addressed.

[0049] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for evaluating and monitoring land use control indicators, characterized in that: The method comprises: S1. Divide the entire life cycle into stages according to the construction project plan to obtain multiple monitoring stages, divide the monitoring indicators according to their characteristics, and obtain monitoring indicator information; S2. Monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient based on the monitoring data, and evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient to obtain multi-level data; S3. Establish a judgment matrix based on the evaluation level information and perform consistency check; S4. Calculate the use control assessment value based on multi-level data, and evaluate and grade the land space use control based on the use control assessment value.

2. A land space use control index evaluation and monitoring method according to claim 1, characterized in that: Said S1 comprises: Divide the entire life cycle into stages according to the types of construction projects in the entire life cycle of land and space use control, and obtain multiple monitoring stages; Classifying the monitoring indicators of each monitoring stage according to the characteristics of the monitoring indicators to obtain multiple indicator classifications, and deeply classifying the indicator classifications according to different types of the indicator classifications to obtain indicator deep classifications. The indicator information obtained by the indicator deep classification is the monitoring indicator information; Conduct impact change analysis on monitoring indicator information to obtain indicator impact combinations.

3. The method for evaluating and monitoring land use control indicators according to claim 1, characterized in that: The S2 includes: Monitor the land space usage data according to the monitoring indicator information to obtain monitoring data of the land space usage data of each monitoring indicator; Preprocessing the monitoring data to obtain preprocessed monitoring data, and calculating the evaluation index level coefficient based on the preprocessed monitoring data; Comparing the evaluation index level coefficient with a preset coefficient threshold to obtain a comparison result; According to the comparison result, the monitoring data corresponding to the evaluation index level coefficient is divided into the evaluation index level of the corresponding preset index level to obtain multi-level data; Perform hierarchical change impact analysis on multi-level data to obtain hierarchical impact combinations.

4. A land space use control index evaluation and monitoring method according to claim 3, characterized in that: The S3 includes: By comparing the target layer indicators with the criterion layer indicators, multiple relative weights are obtained; Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ;w i and w j are the relative weights of target i and target j respectively; Form a judgment matrix A through multiple relative weights; A consistency test is performed to determine whether the hierarchical single sorting can be confirmed, and whether the weight vector passes the consistency test is determined based on the consistency index to obtain a judgment result.

5. The method for evaluating and monitoring land use control indicators according to claim 1, characterized in that: The S4 includes: Calculate use control assessment values ​​based on multi-level data; The use control assessment value and the preset assessment threshold are compared to obtain a comparison result, and the land space use control monitoring level is obtained based on the comparison result combined with the preset assessment grade; when the use control assessment value is greater than 85% of the preset assessment threshold, the land space use control monitoring level is excellent; when the use control assessment value is between 60% and 85% of the preset assessment threshold, the land space use control monitoring level is qualified; when the use control assessment value is less than 60% of the preset assessment threshold, the land space use control monitoring level is unqualified.

6. A land space use control index evaluation and monitoring system, characterized by: The system comprises: The phase indicator division module is used to divide the entire life cycle into phases according to the construction project plan, obtain multiple monitoring phases, divide the monitoring indicators according to their characteristics, and obtain monitoring indicator information; An indicator hierarchy analysis module is used to monitor the land space use data according to the monitoring indicator information to obtain monitoring data, calculate the evaluation indicator hierarchy coefficient according to the monitoring data, evaluate and stratify the monitoring data according to the evaluation indicator hierarchy coefficient, and obtain multi-level data; The judgment and verification module is used to establish a judgment matrix based on the evaluation level information and perform consistency verification; The evaluation and grading module is used to calculate the use control evaluation value based on multi-level data, and evaluate and grade the land space use control based on the use control evaluation value.

7. A land space use control index evaluation and monitoring system according to claim 6, characterized in that: The stage indicator division module includes: The phase division module is used to divide the entire life cycle into phases according to the types of construction projects in the entire life cycle of land and space use control, and obtain multiple monitoring phases; An indicator classification module is used to classify monitoring indicators according to their characteristics to obtain multiple indicator classifications, and to perform deep classification of the indicator classifications according to different types of the indicator classifications to obtain deep indicator classifications. The indicator information obtained by the deep indicator classification is the monitoring indicator information; Conduct impact change analysis on monitoring indicator information to obtain indicator impact combinations.

8. The land space use control index evaluation and monitoring system according to claim 6 is characterized in that: The indicator level analysis module includes: A monitoring module is used to monitor the land space usage data according to the monitoring indicator information and obtain monitoring data of the land space usage data of each monitoring indicator; A coefficient calculation module is used to preprocess the monitoring data to obtain preprocessed monitoring data, and calculate the evaluation index level coefficient based on the preprocessed monitoring data; Comparing the evaluation index level coefficient with a preset coefficient threshold to obtain a comparison result; a grading module, configured to classify the monitoring data corresponding to the evaluation index level coefficient into evaluation index levels of corresponding preset index levels according to the comparison result, to obtain multi-level data; Perform hierarchical change impact analysis on multi-level data to obtain hierarchical impact combinations.

9. A land space use control index evaluation and monitoring system according to claim 8, characterized in that: The judgment and inspection module includes: A weight analysis module, for obtaining a plurality of relative weights by comparing target layer indicators with criterion layer indicators; Assume that the number of target layer indicators is i, the number of criterion layer indicators is j, and the relative weight of the i-th target to the j-th target is recorded as a ij , a ij =w i / w j ; wi and wj are the relative weights of target i and target j respectively; Form a judgment matrix A through multiple relative weights; The consistency check module is used to perform consistency check on whether the hierarchical single sorting can be confirmed, and to determine whether the weight vector passes the consistency check based on the consistency index to obtain a judgment result.

10. A land space use control index evaluation and monitoring system according to claim 6, characterized in that: The evaluation and grading module includes: An evaluation calculation module, used to calculate the use control evaluation value based on multi-level data; The comparison and grading module is used to compare the use control assessment value and the preset assessment threshold to obtain a comparison result, and obtain the land space use control monitoring level based on the comparison result combined with the preset assessment grading; when the use control assessment value is greater than 85% of the preset assessment threshold, the land space use control monitoring level is excellent; when the use control assessment value is between 60% and 85% of the preset assessment threshold, the land space use control monitoring level is qualified; when the use control assessment value is less than 60% of the preset assessment threshold, the land space use control monitoring level is unqualified.

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