CN114549259A - Smart city optimization management method based on multi-source data fusion - Google Patents
Smart city optimization management method based on multi-source data fusion Download PDFInfo
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Abstract
The invention discloses a smart city optimization management method based on multi-source data fusion, which comprises the following steps: collecting geographic information data of smart cities, dividing grids of the smart cities, acquiring smart city data, summarizing and issuing the smart city data and making smart city management decisions; the invention achieves the purpose of enhancing the satellite image definition based on the multi-source data fusion technology, thereby obtaining accurate and effective geographic information data of the smart city, facilitating the effective and comprehensive supervision of the smart city, dividing the smart city into a plurality of network grid units and managing the network grid units, further leading the city management work to be more concise, realizing the layering and grading of the management space, realizing the city management mode of accurate, agile, efficient and omnibearing coverage, realizing the comprehensive monitoring of the smart city by acquiring multi-directional city data, facilitating the accurate positioning of the city management problem in the grid unit area, achieving the purpose of real-time processing, and improving the timeliness of information.
Description
Technical Field
The invention relates to the technical field of smart city management, in particular to a smart city optimization management method based on multi-source data fusion.
Background
Nowadays, the information technology is rapidly developed, the construction and development of cities are not enabled by digitalization, a novel smart city is an important measure for the development of various domestic big cities at present and is also an inevitable requirement for improving the urban treatment efficiency in a new era, the smart city is originated in the media field, and various information technologies or innovative concepts are utilized to open and integrate the system and service of the city so as to improve the efficiency of resource application and optimize urban management and service, and the smart city fully applies a new generation of information technology to the city informatization advanced form based on the innovation of the next generation of knowledge society in all the industries in the city, realizes the deep integration of informatization, industrialization and urbanization, is beneficial to relieving the large urban diseases, improves the urbanization quality, realizes the fine and dynamic management, improves the urban management effect and improves the quality of life of the citizens.
Along with the development and construction of smart cities, the management work of the smart cities is more and more complicated, the existing smart city management method is mostly laggard, the management means is coarse and not fine enough, and the geographic information data of the smart cities cannot be accurately and effectively acquired, so that the management space of the smart cities cannot be accurately layered and graded, the management work is complicated and complicated, the management efficiency is reduced, the management cost is high, in addition, the information acquisition in the existing smart city management work is not timely enough, the city management problems cannot be timely found and processed, the management work is passively postposition, and the development and construction of the smart cities are not facilitated.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a smart city optimization management method based on multi-source data fusion, which solves the problems that the existing smart city management method has high management efficiency and management cost, is passively configured with post-management work, and cannot find and process city management problems in time.
In order to achieve the purpose of the invention, the invention is realized by the following technical scheme: a smart city optimization management method based on multi-source data fusion comprises the following steps:
the method comprises the following steps: the method comprises the steps of firstly obtaining a remote sensing image of the smart city through satellite equipment, then obtaining geographic parameters of the smart city according to a city map, then carrying out geometric calibration on obtained geographic parameter data and remote sensing image data, converting data formats, then converting all data into image formats, and then carrying out multi-source data fusion on the data in the image formats by means of an image processing algorithm to obtain geographic information data of the smart city;
step two: dividing the region governed by the smart city into grid-shaped units according to the obtained geographic information data of the smart city, configuring a region supervisor for the divided grid-shaped units, determining management responsible persons of different grid-shaped units, carrying out patrol supervision on the grid-shaped units managed by the region supervisor, collecting citizen behavior data of the smart city and reporting city management events;
step three: firstly, sensor equipment is configured on the divided urban infrastructure of each grid unit, the sensor equipment is used for acquiring basic environment data of the urban infrastructure, then the GPS positioning technology is used for positioning and monitoring public vehicles of the smart city to obtain positioning data of the public vehicles, and then dust noise detection equipment is installed on the construction site of each grid unit of the smart city to obtain dust noise data of the construction site;
step four: firstly, preprocessing acquired smart city data including citizen behavior data, city management event data, basic environment data, public vehicle positioning data and dust emission noise data of a construction site, performing associated organization on the preprocessed smart city data based on a big data processing algorithm, classifying the data, encoding and storing the classified city data into a database, and then issuing the city data in the database to an information query platform and setting query authority;
step five: and the city manager inquires the issued smart city data through the information inquiry platform according to the inquiry authority of the city manager, makes a corresponding management decision according to the inquired smart city data and by combining a decision tree algorithm, and then informs relevant workers of the smart city to perform city optimization management work according to the management decision.
The further improvement lies in that: in the second step, the citizen behavior data is collected by questionnaire survey, and the city management events comprise major wastes, private buildings, garbage, dregs, illegal publicity slogans, street order and environmental sanitation.
The further improvement lies in that: in the second step, the regional supervisors of the grid-shaped units are all provided with handheld mobile terminals, and the regional supervisors actively patrol the urban management problems in the supervision range and report the urban management problems by using the handheld mobile terminals after finding the problems.
The further improvement lies in that: in the second step, after the grid units are divided, a high-definition camera and a broadcast horn are installed in the grid unit area where the emergency easily occurs, the high-definition camera is used for video monitoring, the monitoring video is in wireless connection with a handheld mobile terminal carried by a regional supervisor, the regional supervisor utilizes the broadcast to remotely call for warning when the illegal behavior is found through monitoring, and after the warning is invalid, city law enforcement personnel are informed to go.
The further improvement lies in that: in step three, city infrastructure includes city water supply facility, city power supply facility, city air feed setting and city heat supply facility, sensor equipment is used for detecting the operation conditions of city water supply facility, city power supply facility, city air feed setting and city heat supply facility respectively to acquire wisdom city infrastructure's basic environmental data.
The further improvement lies in that: in the third step, the specific operation of positioning and monitoring the public vehicles in the smart city is as follows: the intelligent management system is characterized in that GPS vehicle-mounted terminals are mounted on law enforcement vehicles, sanitation vehicles, muck vehicles and office vehicles in the whole city range of a smart city to perform positioning monitoring management, positioning data of public vehicles are acquired by combining a GIS geographic information system, and intelligent and space visual management of the vehicles is realized.
The further improvement lies in that: in the fourth step, the preprocessing of the smart city data specifically comprises: the method comprises the steps of firstly auditing the content and source of the smart city data, cleaning the smart city data after the auditing is passed, and finally carrying out standardized processing on the city data.
The further improvement lies in that: in the fifth step, the management decision comprises the allocation of urban resources, the timely prevention of illegal behaviors, the maintenance and overhaul of urban infrastructure, the correct guidance of citizens behaviors and the protection of ecological environment.
The invention has the beneficial effects that: the invention achieves the purpose of enhancing the satellite image definition based on the multi-source data fusion technology, thereby obtaining accurate and effective geographic information data of the smart city, facilitating the effective and comprehensive supervision of the smart city, by dividing the smart city into a plurality of network grid units and performing management, the city management work is more concise and clear, realize layering and grading of management space, realize accurate, agile, high-efficiency and omnibearing coverage city management mode, by acquiring multi-azimuth city data, the comprehensive monitoring of the smart city is realized, the city management problem in the latticed unit area is conveniently and accurately positioned, the purpose of real-time processing is achieved, the timeliness of information is improved, the management work is more active, therefore, the management efficiency of the smart city is improved, the management cost of the smart city is reduced, and the development and construction of the smart city are facilitated.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the embodiment provides a smart city optimization management method based on multi-source data fusion, including the following steps:
the method comprises the following steps: smart city geographic information data acquisition
The method comprises the steps of firstly obtaining a remote sensing image of the smart city through satellite equipment, then obtaining geographic parameters of the smart city according to a city map, then carrying out geometric calibration on obtained geographic parameter data and remote sensing image data, converting data formats, then converting all data into image formats, and then carrying out multi-source data fusion on the data in the image formats by means of an image processing algorithm to obtain geographic information data of the smart city;
step two: smart city grid partitioning
Dividing a region governed by a smart city into latticed units according to obtained geographic information data of the smart city, configuring a region supervisor for the divided latticed units, determining management responsible persons of different latticed units, patrolling and supervising the latticed units managed by the region supervisor, collecting citizen behavior data of the smart city and reporting city management events, wherein the citizen behavior data are collected in a questionnaire survey mode, the city management events comprise large wastes, private scrap buildings, garbage residues, illegal propaganda slogans, street order and environmental sanitation, the region supervisor of the latticed units is provided with a handheld mobile terminal, and actively patrols city management problems in a supervision range by the region supervisor and reports the problems by using the handheld mobile terminal after finding the problems;
after the grid units are divided, installing a high-definition camera and a broadcast horn in a grid unit area where an emergency easily occurs, performing video monitoring by using the high-definition camera, wirelessly connecting a monitoring video with a handheld mobile terminal carried by a regional supervisor, and notifying city law enforcement personnel to go after warning is invalid by using broadcast remote shouting warning when the regional supervisor monitors and finds illegal behaviors;
step three: smart city data acquisition
Firstly, configuring sensor equipment on divided urban infrastructures of each grid unit, acquiring basic environment data of the urban infrastructures by using the sensor equipment, then carrying out positioning monitoring on public vehicles of a smart city by using a GPS positioning technology to obtain positioning data of the public vehicles, then installing dust noise detection equipment on construction sites of each grid unit of the smart city to obtain dust noise data of the construction sites, wherein the urban infrastructures comprise urban water supply facilities, urban power supply facilities, urban air supply settings and urban heat supply facilities, and the sensor equipment is respectively used for detecting the running conditions of the urban water supply facilities, the urban power supply facilities, the urban air supply settings and the urban heat supply facilities so as to obtain the basic environment data of the smart urban infrastructures;
the specific operation of positioning and monitoring the public vehicle in the smart city is as follows: the method comprises the steps that GPS vehicle-mounted terminals are mounted on law enforcement vehicles, sanitation vehicles, muck vehicles and office vehicles in the whole city range of the smart city to perform positioning monitoring management, and positioning data of public vehicles are acquired by combining a GIS geographic information system, so that intelligent and space visual management of the vehicles is realized;
step four: smart city data summarization and publishing
Firstly, preprocessing acquired smart city data including citizen behavior data, city management event data, basic environment data, public vehicle positioning data and dust emission noise data of a construction site, performing associated organization on the preprocessed smart city data based on a big data processing algorithm, classifying the data, encoding and storing the classified city data into a database, and then issuing the city data in the database to an information query platform and setting query authority;
the preprocessing of the smart city data is specifically as follows: the method comprises the steps of firstly, auditing the content and source of smart city data, cleaning the smart city data after the audit is passed, and finally, carrying out standardized processing on the city data;
step five: smart city management decision
According to the inquiry authority of a city manager, the city manager inquires the issued smart city data through the information inquiry platform, makes a corresponding management decision according to the inquired smart city data and by combining a decision tree algorithm, and then informs relevant workers of the smart city to perform city optimization management work according to the management decision, wherein the management decision comprises allocation of city resources, timely prevention of illegal behaviors, maintenance and overhaul of city infrastructure, correct guidance of city behaviors and protection of ecological environment.
Example two
After relevant workers of the smart city perform city optimization management work according to management decisions, a city manager issues network questionnaires to city citizens through the Internet, the city citizens score the optimization management work of the smart city through the network questionnaires, the questionnaires are analyzed after the scoring is finished, the defects of the analysis management work are summarized, and finally the management work of the smart city is continuously optimized according to the result of the summarized analysis.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A smart city optimization management method based on multi-source data fusion is characterized by comprising the following steps:
the method comprises the following steps: the method comprises the steps of firstly obtaining a remote sensing image of the smart city through satellite equipment, then obtaining geographic parameters of the smart city according to a city map, then carrying out geometric calibration on obtained geographic parameter data and remote sensing image data, converting data formats, then converting all data into image formats, and then carrying out multi-source data fusion on the data in the image formats by means of an image processing algorithm to obtain geographic information data of the smart city;
step two: dividing the region governed by the smart city into grid-shaped units according to the obtained geographic information data of the smart city, configuring a region supervisor for the divided grid-shaped units, determining management responsible persons of different grid-shaped units, carrying out patrol supervision on the grid-shaped units managed by the region supervisor, collecting citizen behavior data of the smart city and reporting city management events;
step three: firstly, sensor equipment is configured on the divided urban infrastructure of each grid unit, the sensor equipment is used for acquiring basic environment data of the urban infrastructure, then the GPS positioning technology is used for positioning and monitoring public vehicles of the smart city to obtain positioning data of the public vehicles, and then dust noise detection equipment is installed on the construction site of each grid unit of the smart city to obtain dust noise data of the construction site;
step four: firstly, preprocessing acquired smart city data including citizen behavior data, city management event data, basic environment data, public vehicle positioning data and dust emission noise data of a construction site, performing associated organization on the preprocessed smart city data based on a big data processing algorithm, classifying the data, encoding and storing the classified city data into a database, and then issuing the city data in the database to an information query platform and setting query authority;
step five: and the city manager inquires the issued smart city data through the information inquiry platform according to the inquiry authority of the city manager, makes a corresponding management decision according to the inquired smart city data and by combining a decision tree algorithm, and then informs relevant workers of the smart city to perform city optimization management work according to the management decision.
2. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the second step, the citizen behavior data is collected by questionnaire survey, and the city management events comprise major wastes, private buildings, garbage, dregs, illegal publicity slogans, street order and environmental sanitation.
3. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the second step, the regional supervisors of the grid-shaped units are all provided with handheld mobile terminals, and the regional supervisors actively patrol the urban management problems in the supervision range and report the urban management problems by using the handheld mobile terminals after finding the problems.
4. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the second step, after the grid units are divided, a high-definition camera and a broadcast horn are installed in the grid unit area where the emergency easily occurs, the high-definition camera is used for video monitoring, the monitoring video is in wireless connection with a handheld mobile terminal carried by a regional supervisor, the regional supervisor utilizes the broadcast to remotely call for warning when the illegal behavior is found through monitoring, and after the warning is invalid, city law enforcement personnel are informed to go.
5. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in step three, city infrastructure includes city water supply facility, city power supply facility, city air feed setting and city heat supply facility, sensor equipment is used for detecting the operation conditions of city water supply facility, city power supply facility, city air feed setting and city heat supply facility respectively to acquire wisdom city infrastructure's basic environmental data.
6. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the third step, the specific operation of positioning and monitoring the public vehicles in the smart city is as follows: the intelligent management system is characterized in that GPS vehicle-mounted terminals are mounted on law enforcement vehicles, sanitation vehicles, muck vehicles and office vehicles in the whole city range of a smart city to perform positioning monitoring management, positioning data of public vehicles are acquired by combining a GIS geographic information system, and intelligent and space visual management of the vehicles is realized.
7. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the fourth step, the preprocessing of the smart city data specifically comprises: the method comprises the steps of firstly auditing the content and source of the smart city data, cleaning the smart city data after the auditing is passed, and finally carrying out standardized processing on the city data.
8. The intelligent city optimization management method based on multi-source data fusion according to claim 1, wherein: in the fifth step, the management decision comprises the allocation of urban resources, the timely prevention of illegal behaviors, the maintenance and overhaul of urban infrastructure, the correct guidance of citizens behaviors and the protection of ecological environment.
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