Urban planning application method based on grid management

Abstract

The invention relates to the technical field of geographic information cloud computing, in particular to an urban planning application method based on grid management. According to the grid management system, the geographic space can be divided into small areas, each grid unit is managed, the fine degree and efficiency of management are improved, and unnecessary resource waste is reduced. Through analysis and query of gridding data, the system can provide accurate and real-time geographic information for decision makers and help the decision makers make more scientific and reasonable decisions. Through the analysis of the gridding data, the distribution and utilization of resources can be optimized, various resources can be reasonably planned and configured, and the utilization efficiency of the resources is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of geographic information cloud computing, and in particular to an urban planning application method based on grid management. Background Art

[0002] Complexity of urban planning and management: As cities continue to develop and their size continues to expand, the complexity of urban planning and management is also increasing. Traditional management methods are often unable to effectively respond to the challenges of urban planning and complexity. The emergence of grid management is to better apply these challenges by dividing the city into small grids to break down complex urban management problems into smaller, actionable parts. Development of information technology: With the rapid development of information technology, urban managers can more easily obtain and process large amounts of data. The advancement of technologies such as sensors, geographic information systems, and big data analysis has provided the foundation and support for networked management. The application of these technologies enables different areas of the city to be monitored and managed more accurately and in real time.

[0003] The need for sustainable urban development: In the context of sustainable urban development, urban planning and management require more sophisticated and centralized methods. Grid management can provide cities with more comprehensive and systematic planning and management strategies, promote the rational use of resources, environmental protection and social development. The need for innovative management methods: Traditional urban management methods are difficult to adapt to the needs and challenges of cities. As an innovative method, grid management provides urban managers with a new way to think and solve problems. By dividing the city into relatively small grids, managers can locate and solve problems more accurately, thereby improving the efficiency and accuracy of management. Summary of the invention

[0004] The present invention solves its technical problem by adopting the following technical solution: an urban planning application method based on grid management, which aims to solve the complexity and diversity problems faced in urban management. It includes the following steps: Grid division: By dividing the city map into small blocks, each grid contains residents and related facilities; Data collection and integration: Collect geographic data, including location information, attribute information, etc., through sensors, GPS, remote sensing technology, etc., and store the data in the database; Data analysis: Use GIS technology to conduct spatial query and analysis inside and outside the grid, including statistical analysis, spatial model analysis, buffer zone analysis, etc., to obtain spatial relationships and trends of relevant geographic data; Visualization: Use map making technology to visualize the data of the grid management system and present geographic data through map layers, symbols, colors, etc. Big data analysis: collect, organize and analyze massive amounts of data through big data analysis models to monitor and predict changes in society, economy, environment, etc. in real time; Cloud computing and Internet of Things applications: Through cloud computing and Internet of Things technologies, network management of various grid units and devices can be achieved, and information sharing and data exchange can be realized; Intelligent decision support: Build an intelligent decision library through artificial intelligence and machine learning technologies.

[0005] In the grid division, the geographic space is divided into regular grid unit blocks, the grid unit is square or rectangular, and the size of the grid unit can be adjusted according to population density, traffic conditions, and administrative divisions.

[0006] The data collection and integration involves installing sensors, surveillance cameras and other equipment to collect various types of data in real time, including information on traffic flow, environmental pollution and social security.

[0007] The present invention has the following beneficial effects: Improve management efficiency: The grid management system can divide the geographic space into small areas and manage each grid unit, thereby improving the sophistication and efficiency of management and reducing unnecessary waste of resources.

[0008] Optimize decision support: Through the analysis and query of grid data, the system can provide decision makers with accurate and real-time geographic information to help them make more scientific and reasonable decisions.

[0009] Improve resource allocation: Through the analysis of grid data, we can optimize the allocation and utilization of resources, rationally plan and configure various resources, and improve resource utilization efficiency.

[0010] Support emergency management: In the event of a disaster or emergency, the grid management system can provide rapid response and accurate geographic information to help emergency management departments quickly grasp the scope and situation of the disaster and conduct emergency rescue and decision-making. DETAILED DESCRIPTION

[0011] The urban planning application method based on grid management includes the following steps: Grid division: By dividing the city map into small blocks, each grid contains residents and related facilities; the grid division divides the geographic space into regular grid unit blocks, the grid unit is square or rectangular, and the size of the grid unit can be adjusted according to population density, traffic conditions, and administrative divisions.

[0012] Data collection and integration: Geographic data, including location information, attribute information, etc., are collected through sensors, GPS, remote sensing technology, etc., and the data is stored in the database; in the data collection and integration, various types of data are collected in real time by installing sensors, surveillance cameras and other equipment, including information on traffic flow, environmental pollution, and social security.

[0013] Data analysis: Use GIS technology to conduct spatial query and analysis inside and outside the grid, including statistical analysis, spatial model analysis, buffer zone analysis, etc., to obtain spatial relationships and trends of relevant geographic data; Visualization: Use map making technology to visualize the data of the grid management system and present geographic data through map layers, symbols, colors, etc. Big data analysis: collect, organize and analyze massive amounts of data through big data analysis models to monitor and predict changes in society, economy, environment, etc. in real time; Cloud computing and Internet of Things applications: Through cloud computing and Internet of Things technologies, network management of various grid units and devices can be achieved, and information sharing and data exchange can be realized; Intelligent decision support: Build an intelligent decision library through artificial intelligence and machine learning technologies.

[0014] The present invention is applied to the following technical directions: Geographic Information System (GIS) - Geographic Information System is one of the basic tools for grid management. Through GIS, urban areas can be divided into grids, and various information such as land use, building distribution, traffic roads, etc. can be recorded and analyzed in the grids. GIS can provide spatial data visualization and analysis functions to help urban planners better understand the characteristics and potential of urban space.

[0015] Data analysis and artificial intelligence - Data analysis and artificial intelligence technologies can process and analyze large amounts of data collected from sensors and other data sources, discover patterns and trends in the data, and provide decision support. By applying data analysis and artificial intelligence technologies, the efficiency and accuracy of urban planning and management can be further improved.

[0016] Cloud computing and big data - Cloud computing and big data technologies can provide more efficient data storage and processing capabilities, and support large-scale data processing and analysis for grid management. Through cloud computing and big data technologies, the integration and sharing of multiple data sources can be achieved, further improving the efficiency and accuracy of urban planning and management.

[0017] The urban planning application method based on grid management includes the following steps: 1. Grid division: According to the specific conditions of the city, the city is divided into small blocks (grids), each grid contains a certain number of residents and related facilities. Grid division can be based on factors such as population density, traffic conditions, administrative divisions, etc.

[0018] 2. Data collection and integration (1) Install sensor surveillance cameras and other equipment Traffic flow: road stray monitors, vehicle counters, vehicle identification equipment, etc.

[0019] Environmental pollution: air pollution sensors, noise sensors, water quality monitoring equipment, etc.

[0020] Public security: video surveillance cameras, smart security equipment, etc. (2) Collect various data in real time Traffic flow: Traffic information such as vehicle quantity and speed is collected in real time through road flow sensors and vehicle identification equipment. Environmental pollution: Air pollution sensors and noise sensors are used to continuously monitor environmental pollution indicators such as PM2.5 concentration and noise level.

[0021] Social security: Use video surveillance cameras to monitor the security status of public areas in real time, such as pedestrian flow, abnormal events, etc.

[0022] (3) Data integration and management: Central server or cloud platform: Integrate various types of data into a central server or cloud platform to achieve centralized storage and management of data.

[0023] Data storage: Store the collected data, set the data structure and format, and ensure data reliability and integrity.

[0024] Data processing: Use data analysis and processing techniques to clean, screen, calculate and model the collected data to extract valuable information.

[0025] Data visualization: Display the processed data in a visual form, generate interactive interfaces such as charts and maps, and facilitate users to conduct data analysis and decision-making.

[0026] 3. Data analysis and decision support (1) Algorithm requirements and specific calculation contents Data aggregation and summary: Aggregate and summarize the data in the grid to calculate the average value, total amount, trend, etc. of each indicator.

[0027] Data association analysis: Through data association analysis algorithms, we can find the associations between different data and explore possible causal relationships.

[0028] Data mining: Use data mining algorithms to extract hidden rules, patterns and anomalies from massive data.

[0029] Prediction and early warning model: Establish a prediction and early warning model, use historical data and real-time data to train the model, predict future trends and risks, and provide corresponding early warning information.

[0030] (2) Analyze and mine specific content Traffic flow: Through data analysis and mining, we can understand the traffic flow distribution characteristics in different time periods and regions, identify congestion bottlenecks and traffic peak hours, and provide decision support for traffic control and planning.

[0031] Environmental pollution: Use data analysis technology to monitor and analyze environmental indicators such as air quality and noise levels in different areas, identify pollution sources and pollutant emission trends, and provide advice and early warnings for environmental protection and pollution control.

[0032] Social security: Through video analysis and mining, abnormal events and crowd dynamics can be detected and identified, potential safety hazards and public security risks can be discovered, and support can be provided for public safety management and crime prevention.

[0033] (3) Efficient processing of big data: Utilizing big data processing algorithms and cloud computing platforms, it is possible to quickly process massive amounts of real-time data and achieve efficient data analysis and mining.

[0034] Prediction and early warning function: By establishing prediction and early warning models, problems can be discovered in advance and future trends can be predicted, providing decision-making support and response strategies for city managers.

[0035] Data-driven decision-making: The results of data analysis can provide city managers with fact-based data support to help them make more scientific, accurate and timely decisions.

[0036] 4. Conflict dispatch and problem solving The grid management system can timely discover problems and contradictions in urban management, and carry out corresponding scheduling and problem solving. The specific technical implementation examples and analysis are as follows: (1) Traffic congestion Technical implementation: Real-time traffic data is collected through traffic flow sensors and vehicle identification equipment, and traffic congestion analysis algorithms are used to monitor and analyze traffic conditions within the grid. Congestion issues are prioritized based on the degree of congestion and duration of congestion.

[0037] Innovations that are superior to existing technologies: Compared with traditional traffic monitoring methods, the grid management system can achieve real-time monitoring and data analysis of fine-grained areas, more accurately discover and locate traffic congestion problems. In addition, combined with historical data and prediction models, it can predict and warn of traffic congestion.

[0038] (2) Environmental pollution issues Technical implementation: Use air pollution sensors and noise sensors to continuously monitor environmental pollution indicators within the grid, and combine with technologies such as geographic information systems (GIS) to analyze the distribution and impact of pollution sources. Prioritize pollution sources based on their importance and impact.

[0039] Innovations that are superior to existing technologies: The grid management system can collect and monitor environmental pollution data in different areas in real time, and can more comprehensively grasp the pollution situation compared to traditional fixed monitoring stations. In addition, combined with data analysis and models, it can predict and warn of the occurrence of environmental pollution, helping city managers to adjust environmental governance measures in a timely manner.

[0040] The above technical embodiments and innovations that are superior to existing technologies enable city managers to more accurately identify and resolve problems and conflicts through real-time data monitoring, data analysis, and priority scheduling. With the support of a grid management system, city managers can respond to and handle various issues more quickly and accurately, improving the efficiency and quality of city management.

[0041] 5. Public participation and information sharing The grid management system can interact with residents and businesses through online platforms, encourage public participation in urban management, and achieve information sharing and open and transparent management. The following is an example of the specific effects and implementation process: (1) Online Platform Providing opportunities for public participation: Through the online platform of the grid management system, it provides channels for residents and businesses to participate in urban management. They can publish information such as problem feedback, suggestions, complaints and reports, and directly participate in urban management.

[0042] Providing information sharing: Sharing the collected data and management information on the online platform so that the public can view and understand relevant urban management information, including traffic conditions, environmental indicators, social security, etc.

[0043] Open and transparent management: Through online platforms, urban management decisions and measures are published publicly to enable the public to understand the goals, plans and progress of urban management, thereby increasing the transparency of management.

[0044] (2) Specific effects and implementation process examples Feedback and resolution of urban issues: Residents can report urban issues, such as road damage and public facility repairs, to relevant departments through the online platform. After receiving the feedback, the relevant departments will evaluate the issues and use the dispatching function of the grid management system to dispatch the issues to the corresponding responsible units for resolution. Residents can track the progress of problem resolution on the platform to enhance their sense of participation and satisfaction.

[0045] Information sharing and interactive communication: Residents and businesses can view real-time traffic congestion, environmental pollution indicators and social security information on the online platform. At the same time, they can also publish and share relevant information on the platform, such as traffic tips, environmental protection suggestions, etc., to encourage interaction and communication among the public and promote the co-construction and sharing of urban management.

[0046] Public participation in decision-making and evaluation: In the decision-making and planning stages of urban management, online platforms can be used to conduct public voting, opinion collection, and questionnaires to collect public opinions and suggestions on management plans. At the same time, management results and effect evaluation reports can also be published on the platform to let the public understand the actual effect and participation of management.

[0047] Through the construction and operation of online platforms, the grid management system can promote public participation, information sharing and open and transparent urban management. The public can participate in urban management more conveniently, and can also better understand the progress and results of management, and jointly promote the development and improvement of the city.

[0048] 6. Online Services and Emergency Response Grid management of online services and emergency response can improve the efficiency of community management and residents' satisfaction. Through the grid management system, residents and businesses can access the online service platform at any time and any place to handle related matters conveniently and quickly. For example, residents can report problems with facilities and equipment in the community online without having to go to the property management office in person to fill out a repair form or contact the property management by phone, which greatly saves time and energy.

[0049] In addition, through the online service platform, residents and businesses can pay property fees, parking fees and other fees online. They no longer need to wait in line or mail checks, which is more convenient and efficient.

[0050] When emergencies and emergency situations occur, the grid management system can respond quickly and provide emergency guidance and assistance. The system can send emergency notifications to residents and businesses, provide disaster prevention and emergency response guidelines, and help residents and businesses take preventive measures and prepare for emergency situations. At the same time, the system can also quickly organize resources, dispatch personnel, provide emergency rescue and support, and improve the efficiency and accuracy of emergency response.

[0051] Specifically, the grid management system can achieve the following functions: (1) Online repair reporting: Residents and businesses can submit repair requests through the system and track the repair progress at any time, reducing communication links and time consumption.

[0052] (2) Online payment: Residents and businesses can pay various fees online through the system, which is convenient and fast.

[0053] (3) Emergency Notification: The system can send emergency notifications to residents and businesses to convey important information and instructions in a timely manner.

[0054] (4) Disaster prevention and emergency response guide: The system can provide disaster prevention and emergency response guides to help residents and businesses prevent and respond.

[0055] (5) Resource dispatch and emergency rescue: The system can quickly organize and dispatch relevant resources and personnel to provide emergency rescue and support.

[0056] Through these functions, grid management online services and emergency response can improve the efficiency of community management and residents' satisfaction, enabling residents and businesses to handle related affairs more conveniently and receive timely help and guidance in emergency situations. In actual cases, the effects and implementation process of the system can be explained in combination with specific data and analysis, further proving its value and feasibility.

[0057] When implementing grid management, it is necessary to establish a corresponding data platform and information system to uniformly manage and analyze data; at the same time, it is necessary to strengthen the protection of equipment security and data privacy to ensure the security and reliability of the system. In addition, training and popularization work is also needed to improve the use and understanding capabilities of residents and managers and promote the popularization and application of grid management.

[0058] The grid management system is a system that divides geographic space into grid units and manages and analyzes information for each grid unit. Its technical points include: Grid division: Divide the geographic space into regular grid units, usually in the form of squares or rectangles. The grid size can be adjusted as needed to suit different application scenarios.

[0059] Data collection and storage: Geographic data, including location information, attribute information, etc., are collected through various sensors, GPS, remote sensing technology, etc., and the data is stored in the database.

[0060] Spatial query and analysis: Use GIS technology to perform spatial query and analysis inside and outside the grid, including statistical analysis, spatial model analysis, buffer zone analysis, etc., to obtain spatial relationships and trends of relevant geographic data.

[0061] Visual display: Use map making technology to visualize the data of the grid management system, present geographic data through map layers, symbols, colors, etc., to facilitate user understanding and analysis.

[0062] Big data analysis: By collecting, organizing and analyzing massive amounts of data, we can monitor and predict changes in society, economy, environment and other aspects in real time, so as to formulate management strategies accurately.

[0063] Cloud computing and Internet of Things technologies: Through cloud computing and Internet of Things technologies, network management of various grid units and equipment can be realized, the efficiency of information sharing and communication can be improved, and management efficiency can be enhanced.

[0064] Intelligent decision support system: Through artificial intelligence and machine learning technology, an intelligent decision support system is built to provide managers with scientific decision-making basis and improve the accuracy and efficiency of management decisions.

[0065] Glossary GIS (Geographic Information System): is a computer system used to collect, store, manage, analyze and display geographic data. It combines multiple disciplines such as geography, geographic information science, computer science and statistics to help people understand and explain geographic phenomena.

Claims

1. Urban planning application method based on grid management, characterized by The steps include: Grid division: By dividing the city map into small blocks, each grid contains residents and related facilities; Data collection and integration: Collect geographic data, including location information, attribute information, etc., through sensors, GPS, remote sensing technology, etc., and store the data in the database; Data analysis: Use GIS technology to conduct spatial query and analysis inside and outside the grid, including statistical analysis, spatial model analysis, buffer zone analysis, etc., to obtain spatial relationships and trends of relevant geographic data; Visualization: Use map making technology to visualize the data of the grid management system and present geographic data through map layers, symbols, colors, etc. Big data analysis: collect, organize and analyze massive amounts of data through big data analysis models to monitor and predict changes in society, economy, environment, etc. in real time; Cloud computing and Internet of Things applications: Through cloud computing and Internet of Things technologies, network management of various grid units and devices can be achieved, and information sharing and data exchange can be realized; Intelligent decision support: Build an intelligent decision library through artificial intelligence and machine learning technologies.

2. According to the urban planning application method based on grid management according to claim 1, it is characterized in that In the grid division, the geographic space is divided into regular grid unit blocks, the grid unit is square or rectangular, and the size of the grid unit can be adjusted according to population density, traffic conditions, and administrative divisions.

3. The urban planning application method based on grid management according to claim 1 is characterized in that The data collection and integration involves installing sensors, surveillance cameras and other equipment to collect various types of data in real time, including information on traffic flow, environmental pollution and social security.