Urban dynamic data monitoring system

Abstract

The invention discloses an urban dynamic data monitoring system which is characterized by comprising data acquisition, data analysis and real-time monitoring and early warning. The city dynamic data monitoring system and the city dynamic data monitoring system can collect, process and analyze various data in real time, so that the actual condition of a city can be reflected in time, accurate data support can be provided, data from multiple sources can be integrated, including multiple data sources such as a sensor, a monitoring camera, social media and the like, and the real-time monitoring of the city dynamic data can be realized. Therefore, all aspects of the city, including traffic, environment, society, economy and the like, can be comprehensively and comprehensively understood, meanwhile, early signs of problems and trends can be found, possible risks and problems can be warned in advance, measures can be taken in time to deal with the problems, loss and influence are reduced, data support is provided for city managers, and the management efficiency is improved. And decisions can be made based on objective data.

Description

Technical Field

[0001] The invention relates to the technical field of urban data, and in particular to an urban dynamic data monitoring system. Background Art

[0002] Urban dynamic data visualization refers to the use of data visualization technology to display real-time and dynamic data related to the city, so as to better understand the city's operating status, development trends and solve urban problems. With the acceleration of urbanization, cities are facing more and more challenges, such as traffic congestion, environmental pollution, and resource waste. Solving these problems requires timely and accurate understanding of the city's dynamic situation, while the urban dynamic data monitoring system has slow data updates and poor accuracy. In order to better understand the dynamic situation of the city, an efficient data monitoring method is needed. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a city dynamic data monitoring system, which aims to solve the problems of slow data update and poor accuracy of the city dynamic data monitoring system.

[0004] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: an urban dynamic data monitoring system, including data collection, data analysis and real-time monitoring and early warning;

[0005] The data collection includes traffic data, environmental data, social data, land use data, urban facilities data, economic data and safety data;

[0006] The data analysis includes processing and analyzing the fused data using machine learning and big data analysis techniques to extract dynamic characteristics and laws of various aspects of the city;

[0007] The real-time monitoring and early warning include being able to warn of possible problems in advance based on historical data and prediction models.

[0008] Furthermore, the traffic data includes vehicle flow, traffic congestion, traffic accident data, public transportation operation status, etc.; the traffic data is mainly collected by installing various sensor equipment on the road, such as traffic flow sensors, vehicle identification sensors, speed meters, etc., for real-time monitoring of vehicle quantity, speed and type and other information, as well as by setting up cameras at major road traffic arteries, intersections, main roads and other locations, using computer vision technology and image recognition algorithms to monitor and analyze traffic conditions in real time, including vehicle flow, vehicle type, speed, traffic congestion, etc.

[0009] Furthermore, the environmental data includes environmental indicators such as air quality, noise level, temperature, humidity, and air pressure; air quality monitoring stations are deployed to monitor the concentration of atmospheric pollutants, including PM.PM, ozone, nitrogen dioxide, etc., to evaluate the urban air quality conditions; noise monitoring equipment is installed to monitor the environmental noise level in the city, including traffic noise, industrial noise, social life noise, etc.; meteorological stations are set up or meteorological sensors are installed at various locations in the city to monitor meteorological parameters such as temperature, humidity, wind speed, wind direction, and precipitation in real time.

[0010] Furthermore, the social data include demographic data, residents' living standards, social security index and other socio-economic indicators. Demographic data are mainly collected and released by government departments, such as demographic data, employment data, education data, medical and health data and other socio-economic indicators. Residents' living standards and social security index require regular surveys or questionnaires to obtain information such as residents' opinions, preferences, lifestyles, and consumption habits.

[0011] Furthermore, the land use data includes construction land, agricultural land, green space coverage, etc., which reflects the urban land use situation and changing trends. The government departments collect and publish land use related data, such as land use master plan, land use change permit information, land use survey report, etc., and use satellite remote sensing technology to obtain high-resolution image data of the city. Then, through image interpretation, land feature classification and other methods, the land use type information, such as construction land, agricultural land, forest coverage, water bodies, etc., is identified and extracted.

[0012] Furthermore, the urban facility data includes the operation status and maintenance requirements of infrastructure such as roads, bridges, pipelines, and public facilities, which are mainly derived from the database of urban planning agencies, and collect and regularly publish updated urban facility data for public query and use.

[0013] Furthermore, the economic data include economic indicators such as the city's total economic output, industrial structure, and commercial activities, which are mainly collected through government departments and statistical agencies, or through the company's own financial reports, annual reports, etc. Retailers, e-commerce platforms, consumer survey agencies, etc. collect and publish data on consumer behavior.

[0014] Furthermore, the security data includes security conditions related to the city, including crime rates, fire accidents, natural disasters and other security indicators. The security data is mainly provided by police agencies, and the fire department is responsible for collecting and managing relevant data such as fires, accidents, and rescues.

[0015] Furthermore, the data analysis includes fusing data from different data sources, building a comprehensive database of urban dynamic data, using data cleaning, conversion and integration technologies to solve data heterogeneity and inconsistency problems, and ensuring data consistency and integrity.

[0016] Furthermore, the real-time monitoring and early warning include analysis of urban dynamic data, which can detect early signs of problems and trends, and provide early warning of possible risks and problems, which helps to take timely measures to respond and reduce losses and impacts.

[0017] The beneficial effects of the present invention are:

[0018] The present invention provides a city dynamic data monitoring system, which can collect, process and analyze various data in real time, so it can reflect the actual situation of the city in a timely manner and provide accurate data support. It can integrate data from multiple sources, including sensors, surveillance cameras, social media and other data sources, so as to fully and comprehensively understand all aspects of the city, including transportation, environment, society, economy, etc. At the same time, it can also discover early signs of problems and trends, and warn of possible risks and problems in advance, which is helpful to take timely measures to respond and reduce losses and impacts. It provides data support for city managers, enabling them to make decisions based on objective data rather than relying on subjective feelings or experience judgments, thereby improving the scientificity and accuracy of decision-making. By real-time monitoring and analysis of urban data, it helps to promote the development of cities in a smart and sustainable direction and enhance the competitiveness and attractiveness of cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a flow chart of a city dynamic data monitoring system. DETAILED DESCRIPTION

[0020] The specific implementation of the present invention is further described below in conjunction with the accompanying drawings, wherein the same components are represented by the same reference numerals.

[0021] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.

[0022] In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0023] like Figure 1 As shown, a city dynamic data monitoring system is characterized by including data collection, data analysis, and real-time monitoring and early warning;

[0024] Data collection includes traffic data, environmental data, social data, land use data, urban facilities data, economic data and safety data;

[0025] Data analysis includes using machine learning and big data analysis technology to process and analyze the integrated data to extract the dynamic characteristics and laws of various aspects of the city;

[0026] Real-time monitoring and early warning, including those based on historical data and predictive models, can provide early warning of possible problems.

[0027] Traffic data includes vehicle flow, traffic congestion, traffic accident data, public transportation operation status, etc.; the acquisition of traffic data is mainly achieved by installing various sensor equipment on the road, such as traffic flow sensors, vehicle identification sensors, speed meters, etc., for real-time monitoring of vehicle quantity, speed, type and other information, as well as by setting up cameras at major road traffic arteries, intersections, main roads and other locations, using computer vision technology and image recognition algorithms to conduct real-time monitoring and analysis of traffic conditions, including vehicle flow, vehicle type, speed, traffic congestion, etc.

[0028] Through the above solution, the advantages of urban dynamic traffic data lie in its real-time, accuracy, comprehensiveness, visualization, predictive ability, intelligent application and service improvement, which provides important data support for urban traffic management and travel.

[0029] Environmental data includes environmental indicators such as air quality, noise level, temperature, humidity, and air pressure; air quality monitoring stations are deployed to monitor the concentration of atmospheric pollutants, including PM2.5, PM10, ozone, nitrogen dioxide, etc., to assess the city's air quality; noise monitoring equipment is installed to monitor the level of environmental noise in the city, including traffic noise, industrial noise, social life noise, etc.; meteorological stations are set up or meteorological sensors are installed at various locations in the city to monitor meteorological parameters such as temperature, humidity, wind speed, wind direction, and precipitation in real time.

[0030] Through the above solutions, environmental data can provide real-time environmental conditions, support environmental monitoring and management, promote public participation and awareness, support decision-making, improve the quality of urban life and support sustainable development. It is of great significance to the environmental protection and sustainable development of cities.

[0031] Social data include demographic data, residents' living standards, social security index and other socio-economic indicators. Demographic data are mainly collected and released by government departments, including demographic data, employment data, education data, medical and health data and other socio-economic indicators. Residents' living standards and social security index require regular surveys or questionnaires to obtain information such as residents' opinions, preferences, lifestyles, and consumption habits.

[0032] Through the above-mentioned scheme, insights into urban social structure, economic development, social service needs, etc. are provided, providing strong support for government decision-making and social development.

[0033] Land use data include building land, agricultural land, green space coverage, etc., which reflect the urban land use situation and changing trends. The data related to land use are collected and released by government departments, such as land use master plan, land use change permit information, land use survey report, etc. Satellite remote sensing technology is used to obtain high-resolution image data of the city, and then through image interpretation, land feature classification and other methods, land use type information is identified and extracted, such as building land, agricultural land, forest coverage, water bodies, etc.

[0034] Urban facility data includes the operation status and maintenance requirements of infrastructure such as roads, bridges, pipelines, and public facilities. It mainly comes from the database of urban planning agencies, which collects and publishes updated urban facility data on a regular basis for public query and use.

[0035] Economic data include economic indicators such as the city's total economic output, industrial structure, and commercial activities. They are mainly collected through government departments and statistical agencies, or through the company's own financial reports, annual reports, etc. Retailers, e-commerce platforms, consumer survey agencies, etc. collect and publish data on consumer behavior.

[0036] Safety data includes the safety conditions of the city, including crime rates, fire accidents, natural disasters and other safety indicators. Safety data is mainly provided by police agencies, and the fire department is responsible for collecting and managing relevant data such as fires, accidents, and rescues.

[0037] Data analysis includes fusing data from different data sources, building a comprehensive database of urban dynamic data, using data cleaning, conversion and integration technologies to solve data heterogeneity and inconsistency problems, and ensuring data consistency and integrity.

[0038] Real-time monitoring and early warning include analysis of urban dynamic data, which can detect early signs of problems and trends, and provide early warning of potential risks and problems, helping to take timely measures to respond and reduce losses and impacts.

[0039] Advantages of the patent of the present invention: The urban dynamic data monitoring system can collect, process and analyze various data in real time, so it can reflect the actual situation of the city in a timely manner and provide accurate data support. It can integrate data from multiple sources, including sensors, surveillance cameras, social media and other data sources, so as to fully and comprehensively understand all aspects of the city, including transportation, environment, society, economy, etc. At the same time, it can also discover early signs of problems and trends, and warn of possible risks and problems in advance, which helps to take timely measures to respond and reduce losses and impacts. It provides data support for city managers, enabling them to make decisions based on objective data rather than relying on subjective feelings or experience judgments, thereby improving the scientificity and accuracy of decision-making. By real-time monitoring and analysis of urban data, it helps to promote the development of cities in a smart and sustainable direction and enhance the competitiveness and attractiveness of cities.

[0040] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A city dynamic data monitoring system, characterized in that: Including data collection, data analysis, real-time monitoring and early warning; The data collection includes traffic data, environmental data, social data, land use data, urban facilities data, economic data and safety data; The data analysis includes processing and analyzing the fused data using machine learning and big data analysis techniques to extract dynamic characteristics and laws of various aspects of the city; The real-time monitoring and early warning include being able to warn of possible problems in advance based on historical data and prediction models.

2. The urban dynamic data monitoring system according to claim 1, characterized in that: The traffic data includes vehicle flow, traffic congestion, traffic accident data, public transportation operation status, etc.; the traffic data is mainly collected by installing various sensor equipment on the road, such as traffic flow sensors, vehicle identification sensors, speed meters, etc., for real-time monitoring of vehicle quantity, speed, type and other information, as well as by setting up cameras at major road traffic arteries, intersections, main roads and other locations, using computer vision technology and image recognition algorithms to monitor and analyze traffic conditions in real time, including vehicle flow, vehicle type, speed, traffic congestion, etc.

3. The urban dynamic data monitoring system according to claim 1, characterized in that: The environmental data include environmental indicators such as air quality, noise level, temperature, humidity, air pressure, etc.; air quality monitoring stations are deployed to monitor the concentration of atmospheric pollutants, including PM2.5, PM10, ozone, nitrogen dioxide, etc., to evaluate the urban air quality conditions; noise monitoring equipment is installed to monitor the environmental noise level in the city, including traffic noise, industrial noise, social life noise, etc.; meteorological stations are set up or meteorological sensors are installed at various locations in the city to monitor meteorological parameters such as temperature, humidity, wind speed, wind direction, precipitation, etc. in real time.

4. The urban dynamic data monitoring system according to claim 1, characterized in that: The social data include demographic data, residents' living standards, social security index and other socio-economic indicators. Demographic data are mainly collected and released by government departments, such as demographic data, employment data, education data, medical and health data and other socio-economic indicators. Residents' living standards and social security index require regular surveys or questionnaires to obtain information such as residents' opinions, preferences, lifestyles, and consumption habits.

5. The urban dynamic data monitoring system according to claim 1, characterized in that: The land use data include construction land, agricultural land, green space coverage, etc., which reflect the urban land use situation and changing trends. The data related to land use are collected and released by government departments, such as land use master plan, land use change permit information, land use survey report, etc., and high-resolution image data of the city is obtained by satellite remote sensing technology. Then, through image interpretation, land feature classification and other methods, land use type information is identified and extracted, such as construction land, agricultural land, forest coverage, water bodies, etc.

6. The urban dynamic data monitoring system according to claim 1, characterized in that: The urban facility data include the operation status and maintenance requirements of infrastructure such as roads, bridges, pipelines, and public facilities, which are mainly derived from the database of urban planning agencies. The urban facility data are collected and updated regularly for public query and use.

7. The urban dynamic data monitoring system according to claim 1, characterized in that: The economic data include economic indicators such as the city's total economic output, industrial structure, and commercial activities, which are mainly collected through government departments and statistical agencies, or through the company's own financial reports, annual reports, etc. Retailers, e-commerce platforms, consumer survey agencies, etc. collect and publish data on consumer behavior.

8. The urban dynamic data monitoring system according to claim 1, characterized in that: The safety data includes the safety situation of the city, including crime rates, fire accidents, natural disasters and other safety indicators. The safety data is mainly provided by police agencies, and the fire department is responsible for collecting and managing relevant data such as fires, accidents, and rescues.

9. The urban dynamic data monitoring system according to claim 1, characterized in that: The data analysis includes fusing data from different data sources, building a comprehensive database of urban dynamic data, using data cleaning, conversion and integration technology to solve data heterogeneity and inconsistency problems, and ensuring data consistency and integrity.

10. The urban dynamic data monitoring system according to claim 1, characterized in that: The real-time monitoring and early warning include analysis of urban dynamic data, which can detect early signs of problems and trends, and provide early warning of possible risks and problems, which will help to take timely measures to respond and reduce losses and impacts.

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