10 results about "Land value" patented technology

The invention relates to the technical field of land reserve, in particular to a multi-source integration and dynamic updating method and system for land reserve data, and the method comprises the steps: obtaining multi-source land data, constructing a unified space-time database through hierarchical coordinate fusion, and achieving the data integration. And then, land parcel ownership characteristics are extracted, compliance evaluation is completed, and policy change data are synchronously analyzed to generate planning constraints. Idle risk assessment is carried out based on spatio-temporal data and policy constraints, land value fluctuation is predicted, and accurate valuation data is obtained through idle risk weighted correction. And finally, according to risk assessment and policy constraints, a low-efficiency land taking strategy is generated, all data and strategies are uploaded to a management platform in real time, value abnormal block marking and land reserve dynamic optimization tasks are executed respectively, and full-process closed-loop management from data integration to intelligent decision making is realized.

The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion, and relates to the technical field of land economic evaluation. The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion. The method comprises four steps of multi-source data acquisition and preprocessing, standardized evaluation index quantification, index weighted fusion and value calculation, and value distribution diagram generation and output. Firstly, four types of data of background status, planning, market feedback and social perception are acquired and preprocessed; secondly, constructing a hierarchical index system to quantify indexes; determining a weight through an analytic hierarchy process and calculating a land value index according to a preset formula; and finally generating a value distribution diagram in a thermodynamic diagram form. The method realizes standardization, high efficiency and visualization of land value evaluation, can be applied to the fields of city updating, land market monitoring, government planning decision making and the like, and provides scientific support for related decision making.

This invention provides a land value verification device, a land value verification method, and a computer program that enable more accurate verification of land values. [Solution] The land price verification device includes an acquisition unit that acquires land prices and price formation factor data for each of the multiple routes included in the target area; a selection unit that selects a combination of two or more routes from the multiple routes as a verification route set; a verification unit that verifies the consistency of the land prices of each route based on the price formation factor data of each route included in the verification route set and outputs the verification result; and a storage control unit that stores the verification result in association with the verification route set.

The invention discloses an intelligent algorithm for evaluating a target land price based on a market land price. The intelligent algorithm comprises the following steps: 1) acquiring target land parcel data; 2) based on the target land parcel data, using a GIS tool to delimit a peripheral area range of the target land parcel, and screening out similar land similar to the target land parcel in use, property and planning index from the determined peripheral area range; 3) calculating the average unit price of the same kind of land; 4) adjusting the average unit price based on land use, planning indexes and position advantages; and 5) based on the adjusted average unit price and the area of the target land parcel, obtaining the land price of the target land parcel, and performing visualization. According to the method, the economic value and potential value of the land are quantified in combination with multi-source data, and the influence of policy adjustment and market fluctuation on the land value is tracked in real time; and a scientific basis is provided for time sequence planning of land collection, storage, transfer and development.

The invention relates to the technical field of oil field land value evaluation, and discloses an oil field land land value analysis method and device, electronic equipment, a storage medium and a computer program product.The method comprises the steps that influence factors of oil field land value analysis are extracted on the basis of a knowledge graph fusion technology; the influence factors comprise land types, reserve conditions, ground development difficulty, land input and land output; determining a comprehensive evaluation coefficient of the influence factor based on an analytic hierarchy process and expert scoring; and analyzing the oil field land use value of the oil field land based on the comprehensive evaluation coefficient. According to the method, the efficiency and accuracy of evaluating the land value of the oil field are improved, a solid foundation is laid for development of the oil field in the fields of strategic and land resource planning and utilization, the automatic evaluation process is realized, and the evaluation period is remarkably shortened.

The invention relates to the technical field of image processing, and discloses a land value evaluation method and device, and the method comprises the following steps: S101, executing peak season synthesis processing; step S102, constructing a shadow intensity item; step S103, calculating to obtain a land parcel level bias potential; step S104, constructing a carbon sink inversion neural network; step S105, training a carbon sink inversion neural network; and S106, outputting the land value by using the carbon sink inversion neural network. According to the method, the optimal growth state data of vegetation is obtained through peak season synthesis, a shadow intensity item is constructed in combination with terrain and solar geometry, a bias potential is formed by coupling an index saturation effect, a network integrates bias potential information through feature level modulation, and a model focuses on high-risk sample errors through weighted training. Therefore, the problem of carbon sink underestimation caused by coupling of terrain shadow and index saturation is reduced, and the land value assessment result is more suitable for the actual situation.

This invention discloses an online intelligent assessment system for urban land value based on big data analysis, comprising: a data normalization module for acquiring and preprocessing multi-source heterogeneous data; an association mapping module for performing temporal registration, using data components as graph nodes and calculating association weights to construct a value association graph; a propagation solution module for locating nodes to be assessed, iteratively updating access probabilities along node connections to obtain an association propagation state sequence; an evolution and recombination module for performing multi-scale time window rearrangement, elevating to a linear evolution space and recursively recombinating to obtain the value evolution state; an inversion assessment module for variational Bayesian inversion, filtering out posterior state components and retaining posterior parameters to obtain the value assessment result; and an incremental update module for acquiring feedback data and incrementally updating the value association graph. This invention enables online intelligent assessment of urban land value, improving the accuracy of value assessment.

The invention relates to a regional land parcel value intelligent evaluation system based on deep learning. The system integrates data into a multi-source data set by collecting the multi-source data. The system constructs a deep Mama multi-modal learning model based on the data set, wherein the model comprises a data preprocessing module, a feature extraction module, a data fusion module and an output prediction module. In the model optimization stage, a variational hypergraph auto-encoder mechanism is introduced, a data fusion module is optimized, and an optimized deep Mama multi-modal learning model is generated. The system generates a market value evaluation result of the land parcel through the land parcel value prediction module, performs comparison based on the actual market value through the feedback optimization module, and dynamically updates model parameters, thereby improving the prediction precision and robustness of the model. The system effectively improves the accuracy of multi-modal data fusion and value evaluation, and has high practicability and application prospects.

This invention provides a land value verification support device, a land value verification support method, and a computer program that enable users to verify land values ​​more efficiently. [Solution] The land value verification support device includes: an acquisition unit that acquires the land values ​​and two-dimensional figures of each of the multiple routes included in the target area; a setting unit that, for each of the multiple routes, sets a range within a predetermined distance from the route in a direction perpendicular to the extension direction of the route as the land value area of ​​that route based on the two-dimensional figure; a generation unit that generates a three-dimensional land value model of the target area so that each of the land value areas is displayed as a three-dimensional figure having a height corresponding to the land values ​​of the routes included in the land value area; and an output control unit that outputs the three-dimensional land value model.

This invention discloses a method for generating a multi-dimensional weighted heatmap of land value, relating to the field of land data analysis technology. The method includes: acquiring a set of multi-dimensional value quantification parameters for land parcels; mapping these parameters to a geographic raster matrix using a GIS geographic coordinate system to construct a spatiotemporal cube data structure; extracting various environmental interference factors corresponding to residential comfort; constructing a multi-factor fusion color mixing function; calculating the comprehensive environmental masking weight; processing the basic value color layer to generate an environmental interference layer; extracting the comprehensive value index from the spatiotemporal cube data structure; using a dynamic clustering algorithm to achieve adaptive grading and determine grading threshold intervals; building a non-linear color mapping lookup table; mapping the threshold intervals to a preset gradient color spectrum to generate a color mapping layer; constructing a multi-level layer stack structure; overlaying the environmental interference layer and the color mapping layer; and using a graphics rendering pipeline combined with a fragment shader to complete pixel blending operations to generate a land value heatmap.