CN-121996827-A - Homeland space planning data acquisition and analysis system

CN121996827ACN 121996827 ACN121996827 ACN 121996827ACN-121996827-A

Abstract

The invention relates to the technical field of homeland space planning, in particular to a homeland space planning data acquisition and analysis system. The system comprises a data acquisition module, a data preprocessing module, a data analysis module, a data storage module and a result display module. The invention integrates various data sources, combines various data acquisition modes to improve the timeliness of the data, ensures that the homeland space planning is performed based on the latest information, avoids planning errors, introduces various analysis methods including space superposition analysis, buffer area analysis, statistical analysis and model prediction analysis based on machine learning and deep learning, improves the prediction accuracy, ensures that the planning has foresight and adaptability, adopts a mode of combining a relational database and an unconnected database, plays respective advantages, adopts a distributed storage architecture, improves the reliability and expansibility of data storage, ensures the stability of the system and meets the increased data storage requirement.

Inventors

Xu Diequn
LIU WEI
LV YUANYUAN

Assignees

济南市规划设计研究院

Dates

Publication Date: 20260508
Application Date: 20241104

Claims (10)

1. The system is characterized by comprising a data acquisition module, a data preprocessing module, a data analysis module, a data storage module and a result display module; The data acquisition module is used for acquiring relevant data of the homeland space planning from various data sources, including geographic information system data, remote sensing image data, statistics annual survey data, department service data, real-time acquisition data of a sensor and Internet web page grabbing data; the data preprocessing module cleans, integrates, converts and unifies the acquired data with a coordinate system; The data analysis module performs deep analysis on the preprocessed data by using a spatial analysis, statistical analysis and model prediction analysis method; the data storage module stores various data in a mode of combining a relational database and a non-relational database; the result display module visually displays analysis results, including map display, chart display and report generation.
2. The homeland space planning data collection and analysis system according to claim 1, wherein the data collection module comprises a sensor data collection sub-module, a web crawler sub-module and a data interface sub-module; The sensor data acquisition sub-module acquires environmental data in real time through various sensors arranged in a monitoring area and sends the data to a system through a wireless transmission technology; The network crawling sub-module captures webpage data related to the homeland space planning from the Internet, and analyzes and extracts useful data; the data interface submodule is in butt joint with information systems of other related departments to acquire service data of the data interface submodule and realize automatic synchronization and updating of the data.
3. The system of claim 2, wherein the environmental data collected by the sensor data collection sub-module includes air quality, water quality, and soil humidity, and wherein the collection of air quality data uses the following formula to calculate the air quality index: wherein, C i is the concentration value of the pollutant, I Hi is the high-order value of the concentration limit value of the pollutant, and I Li is the low-order value of the concentration limit value of the pollutant.
4. The system for collecting and analyzing the homeland space planning data according to claim 2, wherein the data information captured by the network crawling sub-module comprises policy regulations, planning cases and socioeconomic dynamics, and in the process of data analysis, key information in a webpage is extracted by adopting a regular expression matching algorithm, and the formula is expressed as follows: match=re.findall(pattern,text); The pattern is a regular expression pattern, text is webpage text content, and match is a matched result list.
5. The system for collecting and analyzing the homeland space planning data according to claim 2, wherein the department business data of the data interface sub-module comprises land utilization approval data and construction project planning data, and in the process of data synchronization, a timestamp comparison algorithm is adopted to ensure the consistency of the data, and the specific formula is as follows: ΔT=L new -T old ; Wherein Δt is the time difference, T new is the latest time stamp of the data in the data source, T old is the time stamp of the corresponding data in the local database, and when Δt >0, data synchronization update is performed.
6. The system of claim 1, wherein the spatial analysis function of the data analysis module comprises spatial overlay analysis and buffer analysis; the spatial superposition analysis is used for superposing the spatial data of different layers and analyzing the spatial relationship and attribute change of the spatial data; And the buffer area analysis generates a buffer area according to the appointed elements and the buffer distance, and analyzes the related data in the range of the buffer area.
7. The system of claim 1, wherein the statistical analysis functions of the data analysis module include descriptive statistical analysis, correlation analysis, and cluster analysis.
8. The system for collecting and analyzing the homeland space planning data according to claim 1, wherein the model prediction analysis function of the data analysis module predicts the homeland space planning related index by using a model based on machine learning and deep learning, the input layer receives data of a plurality of related factors, the prediction result is obtained at the output layer after the processing of the hidden layer, and the training of the neural network model adopts a back propagation algorithm, wherein the error calculation formula is as follows: Where E is the error, n is the number of samples, y k is the actual value, Is a predicted value.
9. The system for collecting and analyzing the homeland space planning data according to claim 8, wherein the machine learning and deep learning models are neural network models, the relevant factor data received by the input layer comprises historical land utilization data, population migration data and economic development data, and in the model prediction, the linear weighted fusion algorithm is adopted to fuse the prediction results of the models, and the formula is as follows: Wherein, the For the final fused prediction result, m is the number of models, w i is the weight of the model, For the prediction result of model i, the weight ω i satisfies
10. The system for collecting and analyzing the homeland space planning data according to claim 1, wherein the structured data is stored in a relational database, the unstructured data is stored in a non-relational database, the non-relational database adopts a distributed storage architecture, and in the data distributed storage, the data is distributed to different storage nodes by adopting a consistent hash algorithm, and the calculation formula is as follows: hash(key)=(h(key)+offset)mod n; The hash (key) is the node position of the data storage, h (key) is the hash value of the data key, offset is the node offset, and n is the total number of nodes.

Description

Homeland space planning data acquisition and analysis system Technical Field The invention relates to the technical field of homeland space planning, in particular to a homeland space planning data acquisition and analysis system. Background With the acceleration of the urban process and the improvement of the reasonable utilization requirement of the homeland resources, the homeland space planning becomes vital. The traditional data acquisition mode is low in efficiency, data accuracy is difficult to guarantee, and an analysis method is single and cannot meet the complex requirements of territorial space planning. The existing systems have defects in data integration, analysis depth and decision support, and are difficult to deal with fusion of multi-source data and complex spatial relationship analysis, so that a system for acquiring and analyzing the homeland space planning data is provided. Disclosure of Invention The invention aims to provide a homeland space planning data acquisition and analysis system aiming at the problems that the existing systems in the background technology have defects in data integration, analysis depth and decision support and are difficult to deal with fusion of multi-source data and complex spatial relationship analysis. The technical scheme of the invention is that the system for acquiring and analyzing the planning data of the homeland space comprises the following components: The device comprises a data acquisition module, a data preprocessing module, a data analysis module, a data storage module and a result display module; The data acquisition module is used for acquiring relevant data of the homeland space planning from various data sources, including Geographic Information System (GIS) data, remote sensing image data, statistics annual-image data, department service data, real-time acquisition data of a sensor and Internet webpage capturing data; the data preprocessing module cleans, integrates, converts and unifies the acquired data with a coordinate system; The data analysis module performs deep analysis on the preprocessed data by using a spatial analysis, statistical analysis and model prediction analysis method; the data storage module stores various data in a mode of combining a relational database and a non-relational database; the result display module visually displays analysis results, including map display, chart display and report generation. Optionally, the data acquisition module comprises a sensor data acquisition sub-module, a web crawler sub-module and a data interface sub-module; The sensor data acquisition sub-module acquires environmental data in real time through various sensors arranged in a monitoring area and sends the data to a system through a wireless transmission technology; The network crawling sub-module captures webpage data related to the homeland space planning from the Internet, and analyzes and extracts useful data; the data interface submodule is in butt joint with information systems of other related departments to acquire service data of the data interface submodule and realize automatic synchronization and updating of the data. Optionally, the environmental data collected by the sensor data collecting sub-module includes air quality, water quality and soil humidity, wherein the collection of the air quality data uses the following formula to calculate the air quality index (AQl): wherein, C i is the concentration value of the pollutant, I Hi is the high-order value of the concentration limit value of the pollutant, and I Li is the low-order value of the concentration limit value of the pollutant. Optionally, the data information captured by the network crawling sub-module includes policy regulations, planning cases and socioeconomic dynamics, and in the data analysis process, the key information in the webpage is extracted by adopting a regular expression matching algorithm, and the formula is expressed as follows: match=re.findall(pattern,text); The pattern is a regular expression pattern, text is webpage text content, and match is a matched result list. Optionally, the department service data of the data interface sub-module docking includes land utilization approval data and construction project planning data, and in the data synchronization process, a timestamp comparison algorithm is adopted to ensure the consistency of the data, and a specific formula is as follows: ΔT=Tnew-Told; Wherein Δt is the time difference, T new is the latest time stamp of the data in the data source, T old is the time stamp of the corresponding data in the local database, and when Δt >0, data synchronization update is performed. Optionally, the spatial analysis function of the data analysis module includes spatial superposition analysis and buffer area analysis; the spatial superposition analysis is used for superposing the spatial data of different layers and analyzing the spatial relationship and attribute change of the spatial data; And the buf