CN115809768A - Smart city information resource display system and method - Google Patents
Smart city information resource display system and method Download PDFInfo
- Publication number
- CN115809768A CN115809768A CN202211435908.6A CN202211435908A CN115809768A CN 115809768 A CN115809768 A CN 115809768A CN 202211435908 A CN202211435908 A CN 202211435908A CN 115809768 A CN115809768 A CN 115809768A
- Authority
- CN
- China
- Prior art keywords
- area
- region
- resource
- data
- areas
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 42
- 238000011156 evaluation Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims description 32
- 230000010354 integration Effects 0.000 claims description 30
- 230000004308 accommodation Effects 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000012795 verification Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 5
- 239000000126 substance Substances 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 7
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a smart city information resource display system and a smart city information resource display method, and belongs to the technical field of smart cities; the method comprises the steps of integrating data of different areas in a city and data of resource occupation and obtaining resource pressure degrees in a simultaneous manner, integrally evaluating the resource occupation condition of the areas based on the resource pressure degrees, tracing and checking evaluation results of the resource occupation states of the different areas, effectively improving the accuracy of resource occupation state analysis of the different areas, and carrying out self-adaptive dynamic display on information resources of the different areas through the tracing and checking results, so that vehicles and pedestrians can adjust a trip plan more timely and efficiently, and managers can inspect the areas of the resource occupation states in a targeted manner, and potential safety hazards are eliminated; the method and the device are used for solving the technical problem that the overall effect of displaying the urban information resources is poor in the existing scheme.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a smart city information resource display system and a smart city information resource display method.
Background
The smart city realizes comprehensive and thorough perception, broadband ubiquitous interconnection and intelligent integration and sustainable innovation characterized by user innovation, open innovation, public innovation and collaborative innovation through the application of new-generation information technologies such as Internet of things infrastructure, cloud computing infrastructure, geospatial infrastructure and the like and tools and methods such as wiki, social network, fab Lab, living Lab, comprehensive integration method, network-driven full-media fusion communication terminal and the like.
When the existing urban information resource display scheme is implemented, gridding processing and data acquisition in different aspects are not carried out on different areas, the acquired data are processed and analyzed in an integrated manner, and the analysis result is traced and checked, so that the accuracy of data analysis is poor, the resource occupation conditions in different areas cannot be classified and dynamically displayed and prompted, the trips of different people cannot be timely and effectively prompted, managers cannot carry out dynamic patrol on different areas in a targeted manner, and the overall effect of urban information resource display is poor.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a smart city information resource display system and a smart city information resource display method, which are used for solving the technical problem that the overall effect of city information resource display in the existing scheme is poor.
The purpose of the invention can be realized by the following technical scheme:
a smart city information resource display system comprises a data acquisition module, a cloud platform and a display module, wherein the data acquisition module is used for acquiring vehicle information and pedestrian information in different areas and uploading the vehicle information and the pedestrian information to the cloud platform;
the processing and integrating module is used for carrying out feature extraction and marking on the collected vehicle information and pedestrian information in different areas to obtain a data processing set, carrying out simultaneous integration on all data in the data processing set to obtain a data integration set and uploading the data integration set to the cloud platform;
the resource analysis module is used for analyzing and evaluating the occupation states of different regional resources according to the data integration set to obtain a regional evaluation result; wherein the content of the first and second substances,
the area analysis unit in the resource analysis module is used for matching the resource pressure degree of the area with a preset resource pressure threshold value when analyzing and evaluating the occupation state of the area resources according to the resource pressure degree in the data integration set to obtain area analysis data comprising a first area estimation signal, a second area estimation signal and a third area estimation signal as well as corresponding first-class areas, second-class areas and third-class areas;
the tracing and checking unit in the resource analysis module is used for performing tracing and checking on the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the regional analysis data and the regional tracing data form a regional evaluation result;
and the display prompting module is used for dynamically displaying the information resources of different areas of the city according to the area evaluation result.
Preferably, the working step of the processing integration module comprises: numbering different regions and marking as i, i belongs to {1,2, 3., n }, and n is a positive integer greater than one;
acquiring a coordinate range of the area, and acquiring an included area type according to the coordinate range of the area; acquiring a region weight ZQi corresponding to the region type;
acquiring a corresponding area QMI according to the coordinate range of the area;
acquiring the total number CZi of vehicles and the average speed SPi of the vehicles in the regional vehicle information;
acquiring the total number RZi of pedestrians in regional pedestrian information;
obtaining a total number JZi of aggregate sub-regions in the region;
and arranging and combining the marked data according to a preset sequence to obtain a data processing set.
Preferably, when the marked data in the data processing set are integrated;
extracting numerical values of the region weight ZQi and the region area QMI marked in the data processing set, integrating in parallel, and calculating to obtain the accommodation degree RN corresponding to the region; the calculation formula of the accommodation degree RN is as follows:
in the formula, r1 and r2 are different preset proportionality coefficients, and r2 is more than 0 and less than r1; QS is the total number of region types;
extracting the values of the total number CZi of the vehicles, the average speed SPi of the vehicles, the total number RZi of the pedestrians and the total number JZi of the gathering subareas marked in the data processing set, integrating the values with the accommodation degree RN in a simultaneous mode, and obtaining the resource pressure degree ZY of the area through calculation; the resource pressure ZY is calculated by the following formula:
in the formula, z1, z2, z3 and z4 are all preset different proportionality coefficients, and z2 is more than 0 and more than z4 and more than z1 and more than z3;
the accommodation degree and the resource pressure degree corresponding to the region form a data integration set.
Preferably, when the resource pressure degree of the area is matched with a preset resource pressure threshold value;
if the resource pressure degree is smaller than the resource pressure threshold, generating a first area estimation signal and marking the corresponding area as a first-class area;
if the resource pressure degree is not less than the resource pressure threshold and not more than Q% of the resource pressure threshold, and Q is a real number more than one hundred, generating a second region estimation signal and marking a corresponding region as a second-class region;
if the resource pressure degree is greater than Q% of the resource pressure threshold value, generating a third region estimation signal and marking the corresponding region as a three-class region;
the first, second and third region estimation signals and the corresponding first, second and third regions constitute region analysis data.
Preferably, the step of obtaining the area tracing data includes:
in the verification period, respectively counting the occurrence duration and the occurrence frequency of the second type region and the third type region according to the second region estimation signal and the third region estimation signal in the region analysis data, and respectively setting the occurrence duration and the occurrence frequency as a first duration and a second duration and a first frequency and a second frequency;
if the numerical value of the first duration is larger than a first duration threshold, or the numerical value of the first frequency is larger than a first frequency threshold, judging that mild abnormity of the second-class area is effective and generating a first early warning signal, and setting the second-class area as a low risk area according to the first early warning signal; otherwise, the mild anomaly of the two types of areas is judged to be invalid.
Preferably, if the value of the second duration is greater than a second duration threshold, or the value of the second frequency is greater than a second frequency threshold, it is determined that the medium abnormality of the three types of regions is valid and a second early warning signal is generated, and the three types of regions are set as medium risk regions according to the second early warning signal; otherwise, judging that the moderate abnormality of the three types of areas is invalid; the first early warning signal and the low risk area and the second early warning signal and the medium risk area constitute area tracing data.
Preferably, the second duration threshold is smaller than the first duration threshold, and the second frequency threshold is smaller than the first frequency threshold.
Preferably, the working steps of the display prompt module include:
obtaining a region evaluation result and traversing; and respectively carrying out differentiated alarm prompting on the running states of the corresponding low-risk area and the middle-risk area according to the first early-warning signal and the second early-warning information signal contained in the area evaluation result so as to facilitate the timely adjustment of the route and planning of vehicles and pedestrians.
In order to solve the problem, the invention also discloses a smart city information resource display method, which comprises the following steps:
collecting vehicle information and pedestrian information of different areas;
carrying out feature extraction and marking on the collected vehicle information and pedestrian information in different areas to obtain a data processing set, and carrying out simultaneous integration on each item of data in the data processing set to obtain a data integration set;
when analyzing and evaluating the occupation state of the regional resources according to the resource pressure degree in the data integration set, matching the resource pressure degree of the region with a preset resource pressure threshold value to obtain regional analysis data comprising a first regional estimation signal, a second regional estimation signal and a third regional estimation signal and corresponding first-class region, second-class region and third-class region;
tracing and checking the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the regional analysis data and the regional tracing data form a regional evaluation result;
and dynamically displaying the information resources of different areas of the city according to the area evaluation result.
Compared with the prior scheme, the invention has the following beneficial effects:
1. according to the method, the data of different areas in the city and the data of resource occupation are integrated and are simultaneously acquired to obtain the resource pressure, the resource occupation condition of the areas is integrally evaluated based on the resource pressure, and the accuracy of resource occupation state analysis of the different areas can be effectively improved by carrying out retrospective check on the evaluation results of the resource occupation states of the different areas;
2. according to the invention, the information resources in different areas are dynamically displayed in a self-adaptive manner by tracing the check result, so that vehicles and pedestrians can adjust the trip plan more timely and efficiently, and managers can patrol the areas of the resource occupation states in a targeted manner, thereby eliminating potential safety hazards and effectively improving the overall effect of displaying the urban information resources.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of a smart city information resource display system according to the present invention.
FIG. 2 is a block diagram of a smart city information resource display method according to 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
As shown in fig. 1, the present invention is a smart city information resource display system, which includes a data acquisition module, a resource analysis module, a display prompt module, a cloud platform and a database;
the data acquisition module is used for acquiring vehicle information and pedestrian information in different areas and uploading the vehicle information and the pedestrian information to the cloud platform; data acquisition in different aspects can be based on the existing internet of things technology; the statistics of the vehicle information do not include vehicles parked in the parking spaces; statistics of pedestrian information include moving and stationary people;
in the embodiment of the invention, the overall effect of city information resource analysis is improved by monitoring, processing and analyzing vehicles and pedestrians in different regions of a city based on gridding; in addition, the urban information resources in the embodiment of the invention can be the occupation conditions of public places in different areas, including but not limited to roads and scenic spots;
the processing and integrating module is used for carrying out feature extraction and marking on the collected vehicle information and pedestrian information in different areas to obtain a data processing set, carrying out simultaneous integration on all data in the data processing set to obtain a data integration set and uploading the data integration set to the cloud platform; the method comprises the following steps:
numbering different regions and marking as i, i belongs to {1,2, 3., n }, and n is a positive integer greater than one; n represents the total number of regions;
acquiring a coordinate range of the area, and acquiring an included area type according to the coordinate range of the area; setting different types to correspond to different region weights, matching the acquired region types with all region types prestored in a database to acquire corresponding region weights, and marking the region weights as ZQi;
it should be noted that the coordinate range of the region may be based on the existing divided administrative region, or artificially defined according to the actual scene; region types include, but are not limited to, general type, business type, and scenic spot type; the region weight is used for carrying out digital and differential representation on different types of regions;
acquiring a corresponding area of the region according to the coordinate range of the region and marking the area as QMI;
acquiring the total number of vehicles and the average speed of the vehicles in the regional vehicle information, and respectively marking as CZi and SPi;
acquiring the total number of pedestrians in the pedestrian information of the region and marking the total number as RZi;
acquiring the total number of the gathering sub-areas in the area and marking the gathering sub-areas as JZi; wherein the step of obtaining the aggregate sub-region comprises:
equally dividing the region into a plurality of equal sub-regions according to the coordinate range of the region and a preset dividing proportion, and if the number of people gathered in the sub-regions is greater than a preset number of people threshold value, marking the sub-regions as gathering sub-regions; the preset division ratio is manually defined according to the actual scene;
arranging and combining the marked data according to a preset sequence to obtain a data processing set;
integrating various items of data marked in the data processing set;
extracting values of the region weight ZQi and the region area QMI marked in the data processing set, integrating in parallel, and obtaining the corresponding accommodation degree RN of the region through calculation; the calculation formula of the accommodation degree RN is as follows:
in the formula, r1 and r2 are preset different proportionality coefficients, r2 is more than 0 and less than r1, r1 can be 1.863, and r2 can be 0.824; QS is the total number of region types;
it should be noted that the tolerance is a numerical value for integrating different data in the area itself to perform overall evaluation on the resource providing capability thereof; the accommodation degree is in positive correlation with the area weight and the area, and the larger the accommodation degree is obtained through calculation, the stronger the resource providing capability of the corresponding area is;
extracting the values of the total number CZi of the vehicles, the average speed SPi of the vehicles, the total number RZi of the pedestrians and the total number JZi of the gathering subareas marked in the data processing set, integrating the values with the accommodation degree RN in a simultaneous mode, and obtaining the resource pressure degree ZY of the area through calculation; the calculation formula of the resource pressure degree ZY is as follows:
in the formula, z1, z2, z3 and z4 are all preset different proportionality coefficients, z2 is more than 0 and more than z4 and more than z1 and more than z3, z1 can be 2.363, z2 can be 0.542, z3 can be 3.172, and z4 can be 1.247;
the resource pressure is a numerical value used for integrating data of different aspects during the occupation of regional resources to integrally evaluate the resource occupation state; the larger the resource pressure degree is, the larger the resource occupation of the corresponding area is, and the poorer the resource occupation state is;
the accommodation degree and the resource pressure degree corresponding to the region form a data integration set and are uploaded to a cloud platform and a database;
in the embodiment of the invention, the data of different areas per se and the data of resource occupation are integrated and the resource pressure is acquired simultaneously, and the resource occupation condition of the areas is integrally evaluated based on the resource pressure, so that the information resources of the different areas are dynamically displayed in a self-adaptive manner, vehicles and pedestrians can adjust the trip plan more timely and efficiently, and managers can patrol the areas of the resource occupation state in a targeted manner, thereby eliminating potential safety hazards;
the resource analysis module is used for analyzing and evaluating the occupation states of different regional resources according to the data integration set to obtain regional evaluation results; the method comprises the following steps:
the regional analysis unit in the resource analysis module is used for matching the resource pressure degree of the region with a preset resource pressure threshold value when analyzing and evaluating the regional resource occupation state according to the resource pressure degree in the data integration set;
if the resource pressure degree is smaller than the resource pressure threshold, judging that the resource occupation state of the corresponding area is normal, generating a first area estimation signal, and marking the corresponding area as a first-class area according to the first area estimation signal;
if the resource pressure degree is not less than the resource pressure threshold and not greater than Q% of the resource pressure threshold, Q is a real number greater than one hundred, and the value can be 150, judging that the resource occupation state of the corresponding region is slightly abnormal, generating a second region estimation signal, and marking the corresponding region as a second-class region according to the second region estimation signal;
if the resource pressure degree is greater than Q% of the resource pressure threshold, judging that the resource occupation state of the corresponding region is moderate and abnormal, generating a third region estimation signal, and marking the corresponding region as a three-class region according to the third region estimation signal; the moderate resource occupation state abnormality can be understood as road congestion and scenic spot congestion caused by a large number of vehicles on the road and a large number of pedestrians on the road;
the first area estimation signal, the second area estimation signal and the third area estimation signal and the corresponding first type area, second type area and third type area form area analysis data;
in the embodiment of the invention, the resource occupation states of the corresponding areas are analyzed and judged and classified by integrating the acquired resource pressure degrees, so that reliable data support is provided for the dynamic display of information resources of subsequent different areas, and a driver and a pedestrian can timely and intuitively acquire the resource occupation states of the different areas;
the tracing verification unit in the resource analysis module is used for performing tracing verification on the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the method comprises the following steps:
in the verification period, the unit is second, the verification period can be 90 seconds, the duration and the frequency of occurrence of the second type region and the third type region are respectively counted according to the second region estimation signal and the third region estimation signal in the region analysis data, and the duration and the frequency are respectively set as a first duration and a second duration as well as a first frequency and a second frequency;
if the numerical value of the first duration is larger than a first duration threshold, or the numerical value of the first frequency is larger than a first frequency threshold, judging that the mild abnormity of the second-class area is effective and generating a first early warning signal, wherein the first early warning signal also comprises the two conditions, and setting the second-class area as a low-risk area according to the first early warning signal; otherwise, judging that the mild abnormity of the second-class area is invalid;
if the numerical value of the second duration is greater than a second duration threshold, or the numerical value of the second frequency is greater than a second frequency threshold, judging that the medium-level abnormality of the three types of areas is effective and generating a second early warning signal, wherein the second early warning signal also comprises two conditions which are simultaneously established, and setting the three types of areas as medium-risk areas according to the second early warning signal; otherwise, judging that the moderate abnormality of the three types of areas is invalid;
the second time length threshold value is smaller than the first time length threshold value, and the second frequency threshold value is smaller than the first frequency threshold value;
the first early warning signal and the low risk area as well as the second early warning signal and the medium risk area form area tracing data;
the region analysis data and the region tracing data form a region evaluation result and are uploaded to a cloud platform and a database;
in the embodiment of the invention, the resource occupation state conditions of different areas are traced and verified, so that the accuracy of the resource occupation state analysis of different areas can be effectively improved, and the overall effect of displaying urban information resources is further improved;
the display prompting module is used for dynamically displaying the information resources of different areas of the city according to the area evaluation result; the method comprises the following steps:
obtaining a region evaluation result and traversing; respectively carrying out differentiated alarm prompting on the running states of the corresponding low-risk area and middle-risk area according to a first early-warning signal and a second early-warning information signal contained in the area evaluation result so as to facilitate the timely adjustment and planning of the route of the vehicle and the pedestrian;
the differential alarm prompt can be based on the existing LED display screen and the advertising screen and can be displayed in different alarm colors;
it should be noted that by analyzing and evaluating the resource occupation states of different areas of the city and displaying the differentiated dynamic prompt, different user groups can quickly and intuitively obtain the resource use information of different areas, so that the problem that the experience of area travel is poor due to the opaque resource use state of the areas in the existing scheme is solved, and meanwhile, reliable data support can be provided for the dynamic patrol of managers, so that the managers can timely know the resource use pressure of the areas and dynamically adjust the personnel to patrol, and the overall effect of displaying the city information resources is effectively improved;
in addition, the formulas involved in the above are all obtained by removing dimensions and taking numerical values thereof for calculation, and are obtained by acquiring a large amount of data and performing software simulation to obtain a formula closest to a real situation, and the proportionality coefficient in the formula and each preset threshold value in the analysis process are set by a person skilled in the art according to an actual situation or obtained by simulating a large amount of data.
Example two
As shown in fig. 2, the present invention is a method for displaying smart city information resources, comprising:
collecting vehicle information and pedestrian information of different areas;
carrying out feature extraction and marking on the collected vehicle information and pedestrian information in different areas to obtain a data processing set, and carrying out simultaneous integration on each item of data in the data processing set to obtain a data integration set;
when analyzing and evaluating the occupation state of the regional resources according to the resource pressure degree in the data integration set, matching the resource pressure degree of the region with a preset resource pressure threshold value to obtain regional analysis data comprising a first regional estimation signal, a second regional estimation signal and a third regional estimation signal and corresponding first-class region, second-class region and third-class region;
tracing and checking the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the region analysis data and the region tracing data form a region evaluation result;
and dynamically displaying the information resources of different areas of the city according to the area evaluation result.
In the embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, and for example, a module may be divided into only one logic function, and another division may be implemented in practice.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the essential characteristics of the invention.
Finally, it should be noted that the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the same, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (9)
1. A smart city information resource display system is characterized by comprising a data acquisition module, a cloud platform and a display module, wherein the data acquisition module is used for acquiring vehicle information and pedestrian information in different areas and uploading the vehicle information and the pedestrian information to the cloud platform;
the processing and integrating module is used for extracting and marking the characteristics of the collected vehicle information and pedestrian information in different areas to obtain a data processing set, simultaneously integrating various data in the data processing set to obtain a data integration set and uploading the data integration set to the cloud platform;
the resource analysis module is used for analyzing and evaluating the occupation states of different regional resources according to the data integration set to obtain regional evaluation results; wherein the content of the first and second substances,
the area analysis unit in the resource analysis module is used for matching the resource pressure degree of the area with a preset resource pressure threshold value when analyzing and evaluating the occupation state of the area resources according to the resource pressure degree in the data integration set to obtain area analysis data comprising a first area estimation signal, a second area estimation signal and a third area estimation signal as well as corresponding first-class areas, second-class areas and third-class areas;
the tracing and checking unit in the resource analysis module is used for performing tracing and checking on the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the region analysis data and the region tracing data form a region evaluation result;
and the display prompting module is used for dynamically displaying the information resources of different areas of the city according to the area evaluation result.
2. The smart city information resource exhibition system of claim 1, wherein the processing integration module comprises: numbering different regions and marking the regions as i, wherein i belongs to {1,2,3,. Eta., n }, and n is a positive integer greater than one;
acquiring a coordinate range of the area, and acquiring an included area type according to the coordinate range of the area; acquiring a region weight ZQi corresponding to the region type;
acquiring a corresponding area QMI according to the coordinate range of the area;
acquiring the total number CZi of vehicles and the average speed SPi of the vehicles in the regional vehicle information;
acquiring the total number RZi of pedestrians in regional pedestrian information;
acquiring the total number JZi of the gathering sub-areas in the area;
and arranging and combining the marked data according to a preset sequence to obtain a data processing set.
3. The smart city information resource exhibition system of claim 2, wherein, when integrating the data marked in the data processing set;
extracting numerical values of the region weight ZQi and the region area QMI marked in the data processing set, integrating in parallel, and calculating to obtain the accommodation degree RN corresponding to the region; the calculation formula of the accommodation degree RN is as follows:
in the formula, r1 and r2 are preset different proportionality coefficients, and r2 is more than 0 and less than r1; QS is the total number of region types;
extracting the values of the total number CZi of the vehicles, the average speed SPi of the vehicles, the total number RZi of the pedestrians and the total number JZi of the gathering subareas marked in the data processing set, integrating the values with the accommodation degree RN in a simultaneous mode, and obtaining the resource pressure degree ZY of the area through calculation; the calculation formula of the resource pressure degree ZY is as follows:
in the formula, z1, z2, z3 and z4 are all preset different proportionality coefficients, and z2 is more than 0 and more than z4 and more than z1 and more than z3;
the accommodation degree and the resource pressure degree corresponding to the region form a data integration set.
4. The smart city information resource exhibition system of claim 1, wherein when the resource pressure degree of the area is matched with a preset resource pressure threshold value;
if the resource pressure degree is smaller than the resource pressure threshold, generating a first area estimation signal and marking the corresponding area as a first-class area;
if the resource pressure degree is not less than the resource pressure threshold and not greater than Q% of the resource pressure threshold, and Q is a real number greater than one hundred, generating a second region estimation signal and marking the corresponding region as a second-class region;
if the resource pressure degree is greater than Q% of the resource pressure threshold value, generating a third region estimation signal and marking the corresponding region as three types of regions;
the first, second and third region estimation signals and the corresponding first, second and third regions constitute region analysis data.
5. The smart city information resource display system as claimed in claim 1, wherein the step of obtaining the region tracing data comprises:
in a verification period, respectively counting the appearing duration and the appearing frequency of the second type of area and the third type of area according to a second area estimation signal and a third area estimation signal in the area analysis data, and respectively setting the duration and the appearing frequency as a first duration and a second duration as well as a first frequency and a second frequency;
if the numerical value of the first duration is larger than a first duration threshold, or the numerical value of the first frequency is larger than a first frequency threshold, judging that mild abnormity of the second-class area is effective and generating a first early warning signal, and setting the second-class area as a low risk area according to the first early warning signal; otherwise, the mild anomaly of the two types of areas is judged to be invalid.
6. The smart city information resource display system according to claim 5, wherein if the second duration value is greater than the second duration threshold value, or the second frequency value is greater than the second frequency threshold value, it is determined that the medium abnormality of the three types of areas is valid and a second warning signal is generated, and the three types of areas are set as medium risk areas according to the second warning signal; otherwise, judging that the moderate abnormality of the three types of areas is invalid; the first early warning signal and the low risk area and the second early warning signal and the medium risk area constitute area tracing data.
7. The smart city information resource display system of claim 6, wherein the second duration threshold is less than the first duration threshold, and the second frequency threshold is less than the first frequency threshold.
8. The smart city information resource exhibition system of claim 1, wherein the operation steps of the exhibition prompt module include:
obtaining a region evaluation result and traversing; and respectively carrying out differentiated alarm prompt on the running states of the corresponding low-risk area and the corresponding medium-risk area according to the first early warning signal and the second early warning information signal contained in the area evaluation result so as to facilitate the timely route adjustment and planning of vehicles and pedestrians.
9. A smart city information resource display method applied to the smart city information resource display system of any one of claims 1 to 8, comprising:
collecting vehicle information and pedestrian information of different areas;
carrying out feature extraction and marking on the collected vehicle information and pedestrian information in different areas to obtain a data processing set, and carrying out simultaneous integration on each item of data in the data processing set to obtain a data integration set;
when analyzing and evaluating the occupation state of the regional resources according to the resource pressure degree in the data integration set, matching the resource pressure degree of the region with a preset resource pressure threshold value to obtain regional analysis data comprising a first regional estimation signal, a second regional estimation signal and a third regional estimation signal and corresponding first-class region, second-class region and third-class region;
tracing and checking the resource occupation state conditions of different regions according to the region analysis data to obtain region tracing data; the region analysis data and the region tracing data form a region evaluation result;
and dynamically displaying the information resources of different areas of the city according to the area evaluation result.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310830341.0A CN116703122B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
| CN202211435908.6A CN115809768B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211435908.6A CN115809768B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310830341.0A Division CN116703122B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115809768A true CN115809768A (en) | 2023-03-17 |
| CN115809768B CN115809768B (en) | 2023-09-29 |
Family
ID=85483247
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211435908.6A Active CN115809768B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
| CN202310830341.0A Active CN116703122B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310830341.0A Active CN116703122B (en) | 2022-11-16 | 2022-11-16 | Smart city information resource display system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN115809768B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115809768B (en) * | 2022-11-16 | 2023-09-29 | 大同市规划设计研究总院有限责任公司 | Smart city information resource display system and method |
| CN117313335A (en) * | 2023-09-14 | 2023-12-29 | 苏州圣蒙莱科技有限公司 | Digital twinning-based smart city componentization construction method and construction platform |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306350A (en) * | 2011-08-29 | 2012-01-04 | 苏州盛世华安智能科技有限公司 | Intelligent city internet of things system |
| CN106504522A (en) * | 2016-12-02 | 2017-03-15 | 深圳市智慧交通有限公司 | A kind of wisdom traffic management system based on big data |
| US20210165692A1 (en) * | 2019-11-29 | 2021-06-03 | Beijing Sensetime Technology Development Co., Ltd. | Method, apparatus, and storage medium for processing resource allocation data |
| CN113284022A (en) * | 2021-03-25 | 2021-08-20 | 广州云硕科技发展有限公司 | Public information management system for smart city |
| US20210366284A1 (en) * | 2020-05-22 | 2021-11-25 | Inventec Appliances (Pudong) Corporation | Internet of vehicles system for dynamically marking risk area and method thereof |
| CN113706871A (en) * | 2021-09-13 | 2021-11-26 | 中交第一公路勘察设计研究院有限公司 | Multisource data fusion system in urban traffic big data processing |
| CN114529192A (en) * | 2022-02-16 | 2022-05-24 | 河南海融软件有限公司 | Urban intelligent transportation safety travel monitoring analysis method and emergency evacuation decision platform |
| WO2022126492A1 (en) * | 2020-12-15 | 2022-06-23 | 南京中诚签信息科技有限公司 | Urban intelligent traffic management system based on cloud service |
| CN115240423A (en) * | 2022-07-24 | 2022-10-25 | 刘浩 | Internet-based intelligent city traffic allocation method and system |
| CN115331425A (en) * | 2022-06-30 | 2022-11-11 | 银江技术股份有限公司 | Traffic early warning method, device and system |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110766298B (en) * | 2019-10-10 | 2022-11-22 | 北京全路通信信号研究设计院集团有限公司 | Multi-standard multi-service rail transit simulation method and system |
| CN110990905A (en) * | 2019-11-29 | 2020-04-10 | 青岛理工大学 | Auxiliary design system for historical city protection development cooperative control scheme |
| CN112883310A (en) * | 2021-01-14 | 2021-06-01 | 辽联(北京)数据科技开发有限公司 | Multi-level comprehensive community service platform and equipment based on big data |
| CN112766226A (en) * | 2021-02-02 | 2021-05-07 | 华蔚集团(广东)有限公司 | Online and offline combined multidimensional teaching AI (artificial intelligence) classroom learning system |
| CN113763700B (en) * | 2021-04-26 | 2022-09-20 | 腾讯云计算（北京）有限责任公司 | Information processing method, information processing device, computer equipment and storage medium |
| CN113919731A (en) * | 2021-10-25 | 2022-01-11 | 东南大学 | Express way intersection area safety evaluation method based on traffic conflicts |
| CN114970063B (en) * | 2022-05-30 | 2023-03-24 | 深圳市粤港科技有限公司 | GIS-based pipe network information comprehensive display method |
| CN115063014A (en) * | 2022-07-05 | 2022-09-16 | 陈银锁 | Industrial wastewater supervision system and method based on 5G network |
| CN115809768B (en) * | 2022-11-16 | 2023-09-29 | 大同市规划设计研究总院有限责任公司 | Smart city information resource display system and method |
-
2022
- 2022-11-16 CN CN202211435908.6A patent/CN115809768B/en active Active
- 2022-11-16 CN CN202310830341.0A patent/CN116703122B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306350A (en) * | 2011-08-29 | 2012-01-04 | 苏州盛世华安智能科技有限公司 | Intelligent city internet of things system |
| CN106504522A (en) * | 2016-12-02 | 2017-03-15 | 深圳市智慧交通有限公司 | A kind of wisdom traffic management system based on big data |
| US20210165692A1 (en) * | 2019-11-29 | 2021-06-03 | Beijing Sensetime Technology Development Co., Ltd. | Method, apparatus, and storage medium for processing resource allocation data |
| US20210366284A1 (en) * | 2020-05-22 | 2021-11-25 | Inventec Appliances (Pudong) Corporation | Internet of vehicles system for dynamically marking risk area and method thereof |
| WO2022126492A1 (en) * | 2020-12-15 | 2022-06-23 | 南京中诚签信息科技有限公司 | Urban intelligent traffic management system based on cloud service |
| CN113284022A (en) * | 2021-03-25 | 2021-08-20 | 广州云硕科技发展有限公司 | Public information management system for smart city |
| CN113706871A (en) * | 2021-09-13 | 2021-11-26 | 中交第一公路勘察设计研究院有限公司 | Multisource data fusion system in urban traffic big data processing |
| CN114529192A (en) * | 2022-02-16 | 2022-05-24 | 河南海融软件有限公司 | Urban intelligent transportation safety travel monitoring analysis method and emergency evacuation decision platform |
| CN115331425A (en) * | 2022-06-30 | 2022-11-11 | 银江技术股份有限公司 | Traffic early warning method, device and system |
| CN115240423A (en) * | 2022-07-24 | 2022-10-25 | 刘浩 | Internet-based intelligent city traffic allocation method and system |
Non-Patent Citations (1)
| Title |
|---|
| 孙鹏等: "沈阳市交通生态效率与环境压力", 《生态学杂志》, vol. 26, no. 12 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115809768B (en) | 2023-09-29 |
| CN116703122A (en) | 2023-09-05 |
| CN116703122B (en) | 2024-01-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116703122B (en) | Smart city information resource display system and method | |
| Lee et al. | Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level | |
| Mishra et al. | Evaluation and analysis of traffic noise along bus rapid transit system corridor | |
| JP2020530578A (en) | Driving behavior scoring method and equipment | |
| CN101465059B (en) | Early-warning system for inspecting and judging urban road traffic safety situation | |
| CN111311918B (en) | Traffic management method and device based on visual analysis | |
| CN105956268A (en) | Construction method and device applied to test scene of pilotless automobile | |
| CN110782120B (en) | Method, system, equipment and medium for evaluating traffic flow model | |
| CN111462488A (en) | Intersection safety risk assessment method based on deep convolutional neural network and intersection behavior characteristic model | |
| Shaaban et al. | Investigating driver behavior at minor-street stop-controlled intersections in Qatar | |
| CN108665191A (en) | Subway station outside association area calculation method based on aggregation effect | |
| Ram et al. | SMARTBUS: A web application for smart urban mobility and transportation | |
| Daraghmi et al. | Crowdsourcing-based road surface evaluation and indexing | |
| CN102779410A (en) | Parallel implementation method of multi-source heterogeneous traffic data fusion | |
| CN108091137A (en) | A kind of evaluation method and device of Signalized control scheme | |
| Turner et al. | Quality counts for pedestrians and bicyclists: Quality assurance procedures for nonmotorized traffic count data | |
| CN108460685A (en) | Method and apparatus for excavating the correlation rule between vehicle insurance risks and assumptions | |
| Lißner et al. | GPS-data in bicycle planning:“Which cyclist leaves what kind of traces?” Results of a representative user study in Germany | |
| CN109791677A (en) | System and method for carrying out Geographic Reference and scoring to vehicle data in community | |
| CN115713858A (en) | Intelligent traffic operation management and control system based on traffic big data | |
| CN108665084B (en) | Method and system for predicting driving risk | |
| CN113920729A (en) | Method for evaluating perception capability of traffic participants based on roadside perception system | |
| CN114495421B (en) | Intelligent open type road construction operation monitoring and early warning method and system | |
| AlRajie | Investigation of using microscopic traffic simulation tools to predict traffic conflicts between right-turning vehicles and through cyclists at signalized intersections | |
| Ambros et al. | Proactive assessment of road curve safety using floating car data: An exploratory study |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230906 Address after: Ruihe Jincheng West Office Building, No. 155 Yongxiang Road, Pingcheng District, Datong City, Shanxi Province 037000 Applicant after: Datong City Planning and Design Research Institute Co.,Ltd. Address before: 201400 8th floor, building 2, 1919 Baziqiao Road, Nanqiao Town, Fengxian District, Shanghai Applicant before: Shanghai Zhuoye Electromechanical Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |