CN116991916A - Smart city regional management method and system based on multi-source data analysis - Google Patents

Smart city regional management method and system based on multi-source data analysis Download PDF

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CN116991916A
CN116991916A CN202310996876.5A CN202310996876A CN116991916A CN 116991916 A CN116991916 A CN 116991916A CN 202310996876 A CN202310996876 A CN 202310996876A CN 116991916 A CN116991916 A CN 116991916A
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city
data analysis
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杨同辉
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Guangdong Weihao Technology Co ltd
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Guangdong Weihao Technology Co ltd
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Abstract

The invention relates to the technical field of smart cities, in particular to a smart city regional management system based on multi-source data analysis, which comprises a data acquisition and storage module, a data preprocessing and standardization module, a data analysis and modeling module, a regional management decision support module and a system security and privacy protection module. According to the intelligent city regional management method and system based on multi-source data analysis, by utilizing the capabilities of multi-source data acquisition and integration, real-time data can be collected from multiple aspects such as an environment monitoring sensor, traffic monitoring equipment, an intelligent garbage can sensor, a water quality monitoring sensor, building energy consumption monitoring equipment, an illumination sensor, an intelligent street lamp and security monitoring equipment, accurate city running condition and demand information can be provided by analyzing and modeling the data through machine learning and data mining algorithms, and the accuracy and efficiency of city management can be improved through the capabilities of multi-source data analysis.

Description

Smart city regional management method and system based on multi-source data analysis
Technical Field
The invention relates to the technical field of smart cities, in particular to a smart city regional management method and system based on multi-source data analysis.
Background
The smart city is a modern city development mode which adopts advanced technical means such as information technology, internet of things and the like to improve city management and service level, improve city operation efficiency and sustainable development as targets, and realizes digitization, intellectualization and interconnection in various fields in the city by comprehensively utilizing technologies such as big data, cloud computing, internet of things, artificial intelligence and the like so as to provide more convenient, efficient, safe, environment-friendly and sustainable city life and environment.
Through means such as information technology and data analysis, intelligent technology and system are utilized to optimize the operation and management of cities, the intelligent level of cities is improved, the life quality of residents and the sustainable development of cities are improved, and smart city management aims at realizing the high efficiency, convenience, environmental friendliness and sustainability of urban operation through integration and application of emerging information and communication technologies such as Internet of things, artificial intelligence, big data analysis and the like.
The current smart city management often depends on limited data sources and limited data analysis methods, so that the running condition and management requirements of cities are difficult to comprehensively and accurately know, and the smart city management often lacks of fine management and decision support for different areas, so that resource waste and inaccuracy of decisions are caused, and therefore, a smart city regional management method and system based on multi-source data analysis are provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a multi-source data analysis-based smart city regional management method and system, which have the advantages of realizing smart city fine management and decision support through multi-source data analysis, improving city operation efficiency, optimizing resource allocation and providing high-quality public service, and solve the problems that the current smart city management often depends on limited data sources and limited data analysis methods, is difficult to comprehensively and accurately know the running condition and management requirement of the city, and often lacks fine management and decision support for different areas, thereby causing resource waste and inaccuracy of decision.
(II) technical scheme
In order to achieve the purposes of realizing the fine management and decision support of the smart city through multi-source data analysis, improving the city operation efficiency, optimizing the resource allocation and providing high-quality public service, the invention provides the following technical scheme: the intelligent city regional management system based on the multi-source data analysis comprises a data acquisition and storage module, a data preprocessing and standardization module, a data analysis and modeling module, a regional management decision support module and a system security and privacy protection module;
the data acquisition and storage module is as follows: designing and deploying a sensor network, internet of things equipment and an intelligent sensor, collecting real-time data of each area of a city, establishing a data collection interface, acquiring and integrating data of different data sources, and designing a data storage structure;
the data preprocessing and normalizing module comprises: data cleaning, denoising, deduplication and filling of data missing values are carried out on different types of data, and format standardization and unit unified processing are carried out on the data so as to facilitate subsequent analysis and comparison;
the data analysis and modeling module: analyzing and modeling the collected data using machine learning and data mining algorithms;
the regional management decision support module: establishing a smart city command center for intensively monitoring and managing the conditions of each area of the city;
the system security and privacy protection module: and safety measures are designed to ensure the data security and privacy protection of the system.
Preferably, the sensor network and the intelligent sensor comprise an environment monitoring sensor, traffic monitoring equipment, an intelligent garbage can sensor, a water quality monitoring sensor, a building energy consumption monitoring device, an illumination sensor, an intelligent street lamp and a security monitoring device.
Preferably, the data storage structure comprises a real-time data storage library, a historical data storage library and a metadata storage library, wherein the real-time data storage library is used for storing data acquired from the sensor network and the intelligent sensors in real time, the historical data storage library is used for storing data in past time periods, the historical data comprise historical data acquired by various intelligent sensor sources, and the metadata storage library is used for recording and managing relevant information of the acquired data, including data sources, acquisition time, geographic positions, data types and data quality.
Preferably, in the data analysis and modeling module, a clustering algorithm is used to divide the city into small areas, and the similar areas are divided into a group based on space or characteristics; classifying different areas in the city by using a classification algorithm, and dividing the different areas into business areas, residential areas, industrial areas and the like based on attributes and characteristics; and a time sequence analysis and prediction model is applied to predict the future development trend and demand of the city so as to carry out long-term planning and decision support.
Preferably, in the regional management decision support module, a visual and real-time data display interface is arranged in a smart city command center, so that a decision maker can more intuitively know the running condition and management requirement of a city; and corresponding city management policies and measures are formulated according to the data analysis results provided by the data analysis and modeling module, including but not limited to traffic jam relief, energy conservation and emission reduction, garbage disposal, water pollution treatment and air purification.
Preferably, in the system security and privacy protection module, the security of the data in the transmission and storage process is protected by adopting an SSL/TLS protocol to encrypt and transmit the data, and access rights are distributed to each role through a role-based access control model, so that only authorized users can access specific data.
The intelligent city regional management method based on the multi-source data analysis comprises an intelligent city regional management system based on the multi-source data analysis, and further comprises the following steps:
1) Data collection and integration: real-time data in the city range, including environmental data, traffic data, energy data and the like, are collected through a sensor network, internet of things equipment and an intelligent sensor, a data sharing platform is established, and data of different data sources are integrated and archived;
2) Data preprocessing and standardization: preprocessing the collected original data, including data cleaning, noise filtering and outlier detection, and normalizing the data to ensure the consistency of data formats and units among different data sources;
3) Data analysis and modeling: analyzing and modeling the collected data by using a machine learning algorithm and a data mining technology, dividing the city into small areas, dividing similar areas into a group, and further classifying the small areas so as to facilitate the follow-up prediction of the development trend and the demand of future cities;
4) Regional management decision support: providing decision support for government departments and city managers according to the result of data analysis;
5) Decision visualization: and transmitting the data analysis result and the decision to a smart city command center, and carrying out real-time visual display through a data display interface, so that a decision maker can intuitively know the running condition and management requirement of the city, and confirm whether to execute the decision made by a smart city regional management system based on multi-source data analysis.
Preferably, the result and decision of the data analysis need to be backed up and stored through a storage structure in the data acquisition and storage module, and the decision to confirm execution, the execution time and the execution range of the decision need to be backed up and stored through the storage structure in the data acquisition and storage module.
(III) beneficial effects
Compared with the prior art, the invention provides a smart city regional management method and system based on multi-source data analysis, which have the following beneficial effects:
1. according to the intelligent city regional management method and system based on multi-source data analysis, by utilizing the capabilities of multi-source data acquisition and integration, real-time data can be collected from multiple aspects such as an environment monitoring sensor, traffic monitoring equipment, an intelligent garbage can sensor, a water quality monitoring sensor, building energy consumption monitoring equipment, an illumination sensor, an intelligent street lamp and security monitoring equipment, accurate city running condition and demand information can be provided by analyzing and modeling the data through machine learning and data mining algorithms, and the accuracy and efficiency of city management can be improved through the capabilities of multi-source data analysis.
2. According to the intelligent city regional management method and system based on multi-source data analysis, the cities are divided into small areas, and the different areas are grouped and classified by using a clustering and classifying algorithm, so that the conditions of the areas of the cities can be better known and managed, and a decision maker can intuitively know the running conditions and management requirements of the cities by arranging a visual and real-time data display interface in a intelligent city command center, and better formulate city management policies and measures, including aspects of traffic jam relief, energy conservation and emission reduction, garbage treatment, water pollution treatment, air purification and the like, so that the sustainable development and the quality of life of the cities are improved.
Drawings
FIG. 1 is a block diagram of a smart city regional management system of the present invention;
FIG. 2 is a flowchart of a smart city regional management method according to the present invention;
FIG. 3 is a flow chart of the intelligent city regional management system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, a smart city regional management system based on multi-source data analysis is characterized by comprising a data acquisition and storage module, a data preprocessing and standardization module, a data analysis and modeling module, a regional management decision support module and a system security and privacy protection module;
and the data acquisition and storage module is used for: designing and deploying a sensor network, internet of things equipment and an intelligent sensor, collecting real-time data of each area of a city, establishing a data collection interface, acquiring and integrating data of different data sources, and designing a data storage structure;
and the data preprocessing and standardization module is used for: data cleaning, denoising, deduplication and filling of data missing values are carried out on different types of data, and format standardization and unit unified processing are carried out on the data so as to facilitate subsequent analysis and comparison;
and a data analysis and modeling module: analyzing and modeling the collected data using machine learning and data mining algorithms;
a regional management decision support module: establishing a smart city command center for intensively monitoring and managing the conditions of each area of the city;
system security and privacy protection module: and safety measures are designed to ensure the data security and privacy protection of the system.
Specifically, the sensor network and the intelligent sensor comprise an environment monitoring sensor, traffic monitoring equipment, an intelligent garbage can sensor, a water quality monitoring sensor, building energy consumption monitoring equipment, an illumination sensor, an intelligent street lamp and security monitoring equipment.
Further, the environment monitoring sensor is used for monitoring various indexes of urban environment, such as air quality, temperature, humidity, noise and the like; the traffic monitoring equipment comprises a traffic camera, a traffic flow detector and the like and is used for monitoring road traffic conditions including traffic flow, congestion conditions, traffic accidents and the like in real time so as to provide traffic management and optimization; the traffic monitoring equipment comprises a traffic camera, a traffic flow detector and the like and is used for monitoring road traffic conditions including traffic flow, congestion conditions, traffic accidents and the like in real time so as to provide traffic management and optimization; the water quality monitoring sensor is used for monitoring the water quality index of the urban water body; the building energy consumption monitoring equipment is arranged in a building and is used for monitoring the energy consumption condition of the building; the illumination sensor and the intelligent street lamp illumination sensor are used for monitoring illumination intensity of surrounding environment; the security monitoring equipment comprises a video monitoring camera, an intrusion detector and the like, is used for monitoring the security condition of a city, helping city managers to discover and respond to security events in time and providing security protection measures.
Specifically, the data storage structure comprises a real-time data storage library, a historical data storage library and a metadata storage library, wherein the real-time data storage library is used for storing data acquired from the sensor network and the intelligent sensors in real time, the historical data storage library is used for storing data in past time periods, the historical data comprises historical data acquired by various intelligent sensor sources, and the metadata storage library is used for recording and managing relevant information of the acquired data, including data sources, acquisition time, geographic positions, data types and data quality.
Further, the real-time data storage library can store real-time data from the sensor network and the intelligent sensor, so that a decision maker can timely know the current city condition and make instant decisions; the historical data repository may store data over a past period of time, providing long-term analysis and backtracking capabilities of urban operating conditions; the metadata repository records and manages information about the collected data, such as source, time of collection, geographic location, data type, data quality, etc.
Specifically, in the data analysis and modeling module, a clustering algorithm is used for dividing a city into small areas, and similar areas are divided into a group based on space or characteristics; classifying different areas in the city by using a classification algorithm, and dividing the different areas into business areas, residential areas, industrial areas and the like based on attributes and characteristics; and a time sequence analysis and prediction model is applied to predict the future development trend and demand of the city so as to carry out long-term planning and decision support.
Furthermore, the urban is divided into small areas through the clustering algorithm, so that the spatial distribution and characteristics of the urban can be known more finely, different areas are divided into business areas, residential areas, industrial areas and the like based on the classification algorithm, the urban planning departments can formulate personalized planning schemes according to the characteristics and requirements of the different areas, and future development trend and requirements of the urban can be predicted by utilizing the time sequence analysis and prediction model.
Specifically, in the regional management decision support module, a visual and real-time data display interface is arranged in a smart city command center, so that a decision maker can more intuitively know the running condition and management requirement of a city; and corresponding city management policies and measures are formulated according to the data analysis results provided by the data analysis and modeling module, including but not limited to traffic jam relief, energy conservation and emission reduction, garbage disposal, water pollution treatment and air purification.
Further, through data analysis and modeling, bottlenecks and reasons of traffic jams can be rapidly identified, corresponding traffic management policies and measures are formulated, the optimization of traffic fluidity is facilitated, the traffic jams are reduced, the traveling efficiency is improved, the traveling experience of residents is improved, the conditions of garbage disposal, water pollution, air quality and the like can be known through data analysis and modeling, sources and solutions of problems are identified, corresponding management policies and measures are formulated, the garbage disposal efficiency is facilitated, the water environment quality and the air quality are improved, and the living environment and health of the residents are guaranteed.
Specifically, in the system security and privacy protection module, the security of the data in the transmission and storage processes is protected by adopting an SSL/TLS protocol to encrypt and transmit the data, and access rights are distributed to each role through a role-based access control model, so that only authorized users can access specific data.
Furthermore, by means of measures such as data encryption, access control and authority management, personal privacy and sensitive information of a user are protected, misuse or disclosure of the user information can be prevented, the trust degree and satisfaction degree of the user on the system are improved, and meanwhile compliance and privacy protection measures are helpful to follow relevant laws and regulations and privacy protection policies.
The intelligent city regional management method based on the multi-source data analysis comprises an intelligent city regional management system based on the multi-source data analysis, and further comprises the following steps:
1) Data collection and integration: real-time data in the city range, including environmental data, traffic data, energy data and the like, are collected through a sensor network, internet of things equipment and an intelligent sensor, a data sharing platform is established, and data of different data sources are integrated and archived;
2) Data preprocessing and standardization: preprocessing the collected original data, including data cleaning, noise filtering and outlier detection, and normalizing the data to ensure the consistency of data formats and units among different data sources;
3) Data analysis and modeling: analyzing and modeling the collected data by using a machine learning algorithm and a data mining technology, dividing the city into small areas, dividing similar areas into a group, and further classifying the small areas so as to facilitate the follow-up prediction of the development trend and the demand of future cities;
4) Regional management decision support: providing decision support for government departments and city managers according to the result of data analysis;
5) Decision visualization: and transmitting the data analysis result and the decision to a smart city command center, and carrying out real-time visual display through a data display interface, so that a decision maker can intuitively know the running condition and management requirement of the city, and confirm whether to execute the decision made by a smart city regional management system based on multi-source data analysis.
Specifically, the result and decision of the data analysis need to be backed up and stored through the storage structure in the data acquisition and storage module, and the decision of confirmation execution, the execution time and the execution range of the decision also need to be backed up and stored through the storage structure in the data acquisition and storage module.
Further, by storing the result of data analysis and the decision-related data backup in the storage structure of the data acquisition and storage module, the safety and reliability of the data can be ensured, in case of unexpected situations, such as system failure or data loss, the accuracy and feasibility of the decision can be ensured by recovering the backup data, and the traceability and traceability of the decision can be provided by storing the detailed information backup of decision execution in the storage structure of the data acquisition and storage module.
In summary, the smart city regional management method and system based on multi-source data analysis can collect real-time data from multiple aspects such as environmental monitoring sensors, traffic monitoring devices, intelligent garbage bin sensors, water quality monitoring sensors, building energy consumption monitoring devices, illumination sensors, intelligent street lamps, security monitoring devices and the like by utilizing the capabilities of multi-source data collection and integration, and can provide accurate city running conditions and demand information by analyzing and modeling the data by using machine learning and data mining algorithms.
In addition, the method and the system for regional management of the smart city based on multi-source data analysis divide the city into small areas, and group and classify different areas by using a clustering and classifying algorithm, so that the conditions of each area of the city can be better known and managed, and a decision maker can intuitively know the running conditions and management requirements of the city by arranging a visual and real-time data display interface in a smart city command center, and better formulate city management policies and measures including aspects of traffic jam alleviation, energy conservation and emission reduction, garbage disposal, water pollution treatment, air purification and the like, thereby improving the sustainable development and life quality of the city, solving the problems that the current smart city management often depends on limited data sources and limited data analysis methods, is difficult to comprehensively and accurately know the running conditions and management requirements of the city, and often lacks fine management and decision support to different areas, thereby causing resource waste and inaccuracy of decision.
The related modules involved in the system are all hardware system modules or functional modules in the prior art combining computer software programs or protocols with hardware, and the computer software programs or protocols involved in the functional modules are all known technologies for those skilled in the art and are not improvements of the system; the system is improved in interaction relation or connection relation among the modules, namely, the overall structure of the system is improved, so that the corresponding technical problems to be solved by the system are solved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The intelligent city regional management system based on the multi-source data analysis is characterized by comprising a data acquisition and storage module, a data preprocessing and standardization module, a data analysis and modeling module, a regional management decision support module and a system security and privacy protection module;
the data acquisition and storage module is as follows: designing and deploying a sensor network, internet of things equipment and an intelligent sensor, collecting real-time data of each area of a city, establishing a data collection interface, acquiring and integrating data of different data sources, and designing a data storage structure;
the data preprocessing and normalizing module comprises: data cleaning, denoising, deduplication and filling of data missing values are carried out on different types of data, and format standardization and unit unified processing are carried out on the data so as to facilitate subsequent analysis and comparison;
the data analysis and modeling module: analyzing and modeling the collected data using machine learning and data mining algorithms;
the regional management decision support module: establishing a smart city command center for intensively monitoring and managing the conditions of each area of the city;
the system security and privacy protection module: and safety measures are designed to ensure the data security and privacy protection of the system.
2. The multi-source data analysis based smart city regional management system of claim 1, wherein the sensor network and the intelligent sensor comprise environmental monitoring sensors, traffic monitoring devices, intelligent garbage bin sensors, water quality monitoring sensors, building energy consumption monitoring devices, lighting sensors and intelligent street lamps, and security monitoring devices.
3. The multi-source data analysis based smart city regional management system of claim 1, wherein the data storage structure comprises a real-time data store for storing data obtained in real time from the sensor network and the smart sensors, a historical data store for storing data of past time periods including historical data collected by various smart sensor sources, and a metadata store for recording and managing relevant information of the collected data including source of data, collection time, geographical location, data type, data quality.
4. The multi-source data analysis-based intelligent city regional management system according to claim 1, wherein in the data analysis and modeling module, cities are divided into small regions by using a clustering algorithm, and similar regions are divided into a group by space or feature-based; classifying different areas in the city by using a classification algorithm, and dividing the different areas into business areas, residential areas, industrial areas and the like based on attributes and characteristics; and a time sequence analysis and prediction model is applied to predict the future development trend and demand of the city so as to carry out long-term planning and decision support.
5. The multi-source data analysis-based intelligent city regional management system according to claim 1, wherein in the regional management decision support module, a visual and real-time data display interface is arranged in a intelligent city command center so that a decision maker can more intuitively know the running condition and management requirement of a city; and corresponding city management policies and measures are formulated according to the data analysis results provided by the data analysis and modeling module, including but not limited to traffic jam relief, energy conservation and emission reduction, garbage disposal, water pollution treatment and air purification.
6. The multi-source data analysis-based smart city regional management system of claim 1, wherein the security and privacy protection module encrypts data by SSL/TLS protocol to protect the security of data during transmission and storage, and distributes access rights to each role by role-based access control model to ensure that only authorized users can access specific data.
7. The intelligent city regional management method based on the multi-source data analysis is characterized by comprising the intelligent city regional management system based on the multi-source data analysis as claimed in claims 1-6, and further comprising the following steps:
1) Data collection and integration: real-time data in the city range, including environmental data, traffic data, energy data and the like, are collected through a sensor network, internet of things equipment and an intelligent sensor, a data sharing platform is established, and data of different data sources are integrated and archived;
2) Data preprocessing and standardization: preprocessing the collected original data, including data cleaning, noise filtering and outlier detection, and normalizing the data to ensure the consistency of data formats and units among different data sources;
3) Data analysis and modeling: analyzing and modeling the collected data by using a machine learning algorithm and a data mining technology, dividing the city into small areas, dividing similar areas into a group, and further classifying the small areas so as to facilitate the follow-up prediction of the development trend and the demand of future cities;
4) Regional management decision support: providing decision support for government departments and city managers according to the result of data analysis;
5) Decision visualization: and transmitting the data analysis result and the decision to a smart city command center, and carrying out real-time visual display through a data display interface, so that a decision maker can intuitively know the running condition and management requirement of the city, and confirm whether to execute the decision made by a smart city regional management system based on multi-source data analysis.
8. The method of claim 7, wherein the results and decisions of the data analysis are backed up by a storage structure in the data collection and storage module, and the decision to be performed, the decision execution time and execution range are confirmed to be backed up by a storage structure in the data collection and storage module.
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