CN112651612A - Modern urban road running condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing - Google Patents
Modern urban road running condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing Download PDFInfo
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Abstract
The invention discloses a modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing. The invention acquires the traffic sign lines and the traffic sign board images of each road section in real time, simultaneously acquires the brightness of each street lamp of each road section, and further screens the dangerous traffic sign lines, the dangerous traffic sign boards and the dangerous street lamps, thereby carrying out early warning, and carrying out targeted processing by managers, expanding the supervision range of the road operation condition, overcoming the defect that the current road operation condition management is too one-sided, avoiding the occurrence of traffic accidents caused by the danger of road facilities, and improving the normal operation safety level of the road.
Description
Technical Field
The invention belongs to the technical field of road operation management, and particularly relates to a modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing.
Background
Urban road engineering is an important component in urban infrastructure construction, management of urban road operation conditions is also an important part in urban management, and the management level of the urban road operation conditions is not only related to daily life of citizens, but also related to city appearance and city appearance, and is a reflection of the urban management level. The running conditions of the urban road comprise the running conditions of the road surface of the urban road and the running conditions of road facilities, wherein the road facilities comprise street lamps, traffic sign lines, traffic signs and the like. However, most of the current urban road operation condition management is just the road operation condition management of the road, and the management is too one-sided. The quality of the running condition of the road facility also has great influence on the normal safe running of the road, for example, the traffic marking line can influence the marking function of the traffic marking line if the traffic marking line is fuzzy, incomplete or polluted, and the like, so that the running judgment of a driver is influenced, the normal running safety level of the road is reduced, and the management of the running condition of the urban road facility is also very necessary.
Disclosure of Invention
In view of the above needs in the prior art, the invention aims to provide a modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing, and overcomes the defect that the current urban road operation condition management is too one-sidedly by managing the operation condition of urban road facilities.
The purpose of the invention can be realized by the following technical scheme:
the modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing comprises a road section dividing module, a road section street lamp and sign counting module, a road section image acquisition module, a road database, a street lamp brightness parameter detection module, an information processing module, an information analysis module, a management cloud platform, an early warning module and a background display terminal;
the road section dividing module is used for dividing an urban road into a plurality of road sections according to the length of the road, numbering the divided road sections according to a preset sequence, and sequentially marking the divided road sections as 1,2.
The road section street lamp and sign counting module is used for counting the number of street lamps at two sides of a road and the number of traffic signs on each divided road section, numbering the counted street lamps, and marking the counted street lamps as 1,2.. a.. m respectively, and numbering the counted traffic signs as 1,2.. b.. z respectively;
the road section image acquisition module is used for acquiring traffic marking lines existing on the road surface of each divided road section and images of each traffic sign in real time, and sending the acquired traffic marking line images of each road section and the acquired images of each traffic sign to the information processing module;
the street lamp brightness parameter detection module comprises a plurality of brightness meters and is used for detecting the brightness of each street lamp numbered in each road section to obtain the brightness of each street lamp in each road section, and further a road section street lamp brightness set D is formedp(dp1,dp2,...,dpa,...,dpm)，dpa is the brightness of the a-th street lamp of the p-th road section, p is the road section number, p is 1,2.. i.. n, and the street lamp brightness parameter detection module sends the formed road section street lamp brightness set to the information processing module;
the road database is used for storing standard traffic marking line images of all road sections, storing standard images of all traffic signs in all road sections, storing standard street lamp brightness of all road sections, storing characteristics corresponding to all abnormal types, storing minimum allowable area of the traffic marking lines corresponding to all abnormal types, storing minimum allowable area of the traffic signs corresponding to all abnormal types, and storing standard running coefficients of street lamps;
the information processing module comprises an image processing unit and a data processing unit, and is used for respectively receiving the traffic marking line images and the traffic sign board images of all road sections sent by the road section image acquisition module and the road section street lamp brightness set sent by the street lamp brightness parameter detection module, carrying out image processing on the received images and carrying out data processing on the received road section street lamp brightness set;
the image processing unit is used for processing images of the traffic marking lines of all road sections and the images of all traffic signs, and the specific processing process is as follows:
s1, extracting the standard traffic marking line image of each road section in the road database, comparing the traffic marking line image of each road section with the standard traffic marking line image of the road section, analyzing whether the abnormal traffic marking line image of the road section exists or not, counting and retaining the abnormal traffic marking line image of each road section if the abnormal traffic marking line image exists, and sending the abnormal traffic marking line image to the information analysis module;
s2, extracting standard images of traffic signs in each road section in a road database, comparing the traffic sign images of each road section with the standard images of the traffic signs in the road section correspondingly, counting the number of the road section with abnormality if the traffic sign image of a certain road section is abnormal, counting the number of the abnormal road section, counting the number of the abnormal traffic sign corresponding to the road section with abnormality, and sending the abnormal traffic sign images corresponding to the road section with abnormality to an information analysis module;
the data processing unit is used for comparing the road segment street lamp brightness set with the standard street lamp brightness of each road segment in the road database to obtain a road segment street lamp brightness contrast set delta Dp(Δdp1,Δdp2,...,Δdpa,...,Δdpm) and sending the information to an information analysis module;
the information analysis module receives the abnormal road section traffic marking line images sent by the information processing module, the abnormal traffic sign board images corresponding to the abnormal road sections and the road section street lamp brightness comparison set, counts the number of abnormal areas for the abnormal road section traffic marking line images, numbers the abnormal areas, acquires the geographical positions of the abnormal areas, amplifies the abnormal areas, extracts the characteristics of the abnormal areas, compares the extracted characteristics of the abnormal areas with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the extracted characteristics of the abnormal areas and the characteristics corresponding to the abnormal types, screens the abnormal type with the maximum similarity from the abnormal areas as the abnormal type of the abnormal areas, and obtains the abnormal type of the abnormal areas in the abnormal road section traffic marking line images, acquiring areas of the abnormal areas according to the outlines of the abnormal areas in the road section traffic marking line images with the abnormalities, and forming an abnormal traffic marking line parameter set by the information analysis module according to the abnormal types of the abnormal areas, the geographical positions of the abnormal areas and the areas of the abnormal areas in the road section traffic marking line images with the abnormalities, and sending the abnormal traffic marking line parameter set to the management cloud platform;
the information analysis module focuses the abnormal traffic sign images corresponding to the abnormal road sections in abnormal areas, extracts the characteristics of the abnormal areas, compares the characteristics with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the characteristics of the extracted abnormal areas and the characteristics corresponding to the abnormal types, further screens the abnormal type with the maximum similarity as the abnormal type of the abnormal area, thereby obtaining the abnormal type corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, simultaneously obtains the area corresponding to the abnormal area according to the outline of the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and forms an abnormal traffic parameter sign set by the information analysis module according to the abnormal type and the area corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and sending the data to a management cloud platform;
meanwhile, the information analysis module counts the operation coefficient of each street lamp of each road section according to the received street lamp brightness comparison set of the road section and sends the operation coefficient to the management cloud platform;
the management cloud platform receives the abnormal traffic marking line parameter set, the abnormal traffic sign parameter set and the running coefficients of all street lamps of all road sections sent by the information analysis module, extracts the abnormal types and the abnormal area areas of all abnormal areas in the abnormal road section traffic marking line images from the abnormal traffic marking line parameter set, further compares the abnormal types and the abnormal area areas with the minimum allowable area areas of all abnormal types corresponding to the traffic marking lines in the road database, sends a traffic marking line early warning instruction to the early warning module if the area of a certain abnormal area in the abnormal road section traffic marking line images is larger than the minimum allowable area corresponding to the abnormal type of the abnormal area, the abnormal road section traffic marking line is marked as a dangerous traffic marking line, the abnormal area is marked as a dangerous area, the number of the road section to which the dangerous traffic marking line belongs and the number of the abnormal area corresponding to the dangerous traffic marking line are counted at the moment, then screening the geographic position of the corresponding abnormal area number from the abnormal traffic marking line parameter set according to the abnormal area number, so as to send the road section number of the dangerous traffic marking line and the geographic position and the area of the dangerous area corresponding to the dangerous traffic marking line to a background display terminal;
the management cloud platform extracts abnormal types and areas corresponding to abnormal areas in abnormal traffic sign images corresponding to the abnormal road sections from the abnormal traffic sign parameter set, compares the abnormal types and the areas with minimum allowable areas corresponding to the abnormal types of the traffic signs in a road database, sends a traffic sign early warning instruction to an early warning module if the area of the abnormal area in the abnormal traffic sign image corresponding to the abnormal road section is larger than the area of the minimum allowable area corresponding to the abnormal type of the abnormal area, records the abnormal traffic sign as a dangerous traffic sign, counts the serial number of the dangerous traffic sign, the serial number of the road section to which the dangerous traffic sign belongs and the area of the abnormal area corresponding to the dangerous traffic sign at the moment, and sends the serial number of the road section to which the dangerous traffic sign belongs and the area of the abnormal area to which the dangerous traffic sign to a background;
meanwhile, the management cloud platform compares the operation coefficient of each street lamp of each road section with the standard operation coefficient of the street lamps in the road database, if the operation coefficient of a certain street lamp of a certain road section is smaller than the standard operation coefficient of the street lamps, a street lamp early warning instruction is sent to an early warning module, the street lamps are marked as dangerous street lamps, at the moment, the serial numbers of the dangerous street lamps, the serial numbers of the road sections to which the dangerous street lamps belong and the operation coefficients of the dangerous street lamps are counted, and the running coefficients are sent to a background display terminal;
the early warning module is used for receiving a traffic marking line early warning instruction, a traffic sign board early warning instruction and a street lamp early warning instruction which are sent by the management cloud platform, so that corresponding early warning is carried out;
the background display terminal is used for receiving and displaying the road section number to which the dangerous traffic marking line belongs, the geographical position and the dangerous area of the dangerous area corresponding to the dangerous traffic marking line, the dangerous traffic sign number, the road section number to which the dangerous traffic sign belongs, the abnormal area and the dangerous street lamp number corresponding to the dangerous traffic sign, the road section number to which the dangerous street lamp belongs and the running coefficient of the dangerous street lamp, wherein the road section number to which the dangerous traffic marking line belongs is sent by the management cloud platform.
Preferably, the road segment division module divides the urban road into a plurality of road segments according to the length of the road according to a specific division method as follows:
h1, acquiring the starting point and the end point of the urban road;
h2, counting the length distance from the start point to the end point of the urban road;
h3, evenly dividing the counted length distance into n sections, and marking each section of urban road as a road section, thereby dividing the urban road into a plurality of road sections.
Preferably, the street lamp brightness parameter detection module further comprises a step of counting the failed street lamps, and the specific counting method is that when the brightness of each street lamp of each road segment is obtained through a brightness meter, the obtained brightness of each street lamp of each road segment is analyzed, if the brightness of a certain street lamp is zero, the street lamp is indicated to be failed, the street lamp is marked as the failed street lamp, and at the moment, the serial number of the failed street lamp and the serial number of the road segment to which the failed street lamp belongs are counted, and then the counted serial number is sent to the background display terminal.
Preferably, the unusual types include blur, defect, and pollution, the blur indicates that the traffic sign line or the traffic sign board is displayed in a blurred state, the defect indicates that the traffic sign line or the traffic sign board is displayed in an incomplete state, and the pollution indicates that the traffic sign line or the traffic sign board is polluted by other substances.
Optimally, the running coefficient of each street lamp of each road section is calculatedThe formula is
Operating factor, Δ d, of the a-th street lamp, denoted as the p-th road sectionpa is expressed as a difference value between the brightness of the a-th street lamp of the p-th road section and the standard brightness of the street lamp of the road section, dp Standard of meritExpressed as the standard brightness of the street lamp for the p-th road segment.
Optimally, the management cloud platform sends the serial number of the road section to which the dangerous traffic marking line belongs, the geographical position of the dangerous area corresponding to the dangerous traffic marking line and the area of the dangerous area to the background display terminal, and simultaneously sends the abnormal type corresponding to the dangerous area to the background display terminal.
Optimally, the management cloud platform sends the dangerous traffic sign number, the road section number to which the dangerous traffic sign belongs and the abnormal area corresponding to the dangerous traffic sign to the background display terminal, and simultaneously sends the abnormal type corresponding to the abnormal area of the dangerous traffic sign to the background display terminal.
The invention has the following beneficial effects:
(1) the invention divides the urban road into a plurality of road sections, collects the images of the traffic sign lines and the traffic signs of each road section in real time, acquires the brightness of each street lamp of each road section at the same time, analyzes the abnormal traffic sign lines and traffic signs, screens dangerous traffic sign lines and dangerous traffic signs from the abnormal traffic sign lines and traffic signs, screens dangerous street lamps according to the brightness of each street lamp of each road section, thereby carrying out early warning, simultaneously sends the relevant data of the dangerous traffic sign lines, the relevant data of the dangerous traffic signs and the relevant data of the dangerous street lamps to a background display terminal, carries out targeted processing by relevant urban road managers, realizes the monitoring, early warning and management of the operation condition of modern urban road facilities, and expands the monitoring and management range of the operation condition of the urban road, the method overcomes the defect that the management of the running condition of the urban road is too one-sided at present, avoids traffic accidents caused by the running danger of urban road facilities, and improves the normal running safety level of the road.
(2) When the urban road facility early warning system is used for early warning dangerous urban road facilities, three early warning forms are adopted and respectively correspond to the dangerous traffic sign lines, the dangerous traffic sign boards and the dangerous street lamps in the urban road facilities, so that urban road management personnel can accurately judge the types of the dangerous urban road facilities according to the early warning forms during early warning, and can take targeted measures to process in time and improve the processing efficiency.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic diagram of an information processing module 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.
Referring to fig. 1-2, the modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing comprises a road section dividing module, a road section street lamp and sign board counting module, a road section image acquisition module, a road database, a street lamp brightness parameter detection module, an information processing module, an information analysis module, a management cloud platform, an early warning module and a background display terminal.
The road section dividing module is used for dividing the urban road into a plurality of road sections according to the length of the road, and the specific dividing method is as follows:
h1, acquiring the starting point and the end point of the urban road;
h2, counting the length distance from the start point to the end point of the urban road;
h3, uniformly dividing the counted length distance into n sections, recording each section of urban road as a road section, dividing the urban road into a plurality of road sections, numbering the divided road sections according to a preset sequence, and marking the divided road sections as 1,2.
The road section street lamp and sign counting module is used for counting the number of street lamps on two sides of a road and the number of traffic signs on each divided road section, numbering each counted street lamp, marking the number as 1,2.
The number of street lamps and traffic signs in each road section is counted to the serial number, and convenience is provided for obtaining the brightness of the street lamps and collecting images of the traffic signs at the back.
The road section image acquisition module is used for acquiring traffic marking lines existing on the road surfaces of the divided road sections and images of the traffic signs in real time, and transmitting the acquired traffic marking line images of the road sections and the acquired images of the traffic signs to the information processing module.
The street lamp brightness parameter detection module comprises a plurality of brightness meters for detecting the brightness of each street lamp numbered by each road section to obtain the brightness of each street lamp of each road section, thereby forming a road section street lamp brightness set Dp(dp1,dp2,...,dpa,...,dpm)，dpa is the brightness of the a-th street lamp of the p-th road section, p is the road section number, p is 1,2.
Meanwhile, the street lamp brightness parameter detection module also counts the failed street lamps, and the specific statistical method is that when the brightness of each street lamp of each road section is obtained through a brightness meter, the obtained brightness of each street lamp of each road section is analyzed, if the brightness of a certain street lamp is zero, the street lamp is indicated to be failed, the street lamp is marked as the failed street lamp, and at the moment, the serial number of the failed street lamp and the serial number of the road section to which the failed street lamp belongs are counted, and then the counted numbers are sent to the background display terminal.
The road database is used for storing standard traffic marking line images of all road sections, storing standard images of all traffic signs in all road sections, storing standard street lamp brightness of all road sections and storing characteristics corresponding to all abnormal types, wherein each abnormal type comprises blur, incomplete and pollution, the blur indicates that the traffic marking line or the traffic sign displays fuzziness, the incomplete indicates that the traffic marking line or the traffic sign displays incompleteness, the pollution indicates that the traffic marking line or the traffic sign is polluted by other substances, the minimum allowable area of the traffic marking line corresponding to each abnormal type is stored, the minimum allowable area of the traffic sign corresponding to each abnormal type is stored, and the standard operation coefficient of the street lamp is stored;
the information processing module comprises an image processing unit and a data processing unit, and the information processing module respectively receives the traffic marking line images and the traffic sign board images of the road sections sent by the road section image acquisition module and the road section street lamp brightness set sent by the street lamp brightness parameter detection module, performs image processing on the received images, and performs data processing on the received road section street lamp brightness set.
The image processing unit is used for carrying out image processing on the images of the traffic marking lines of all road sections and the images of all traffic signs, and the specific processing process is as follows:
s1, extracting the standard traffic marking line image of each road section in the road database, comparing the traffic marking line image of each road section with the standard traffic marking line image of the road section, analyzing whether the abnormal traffic marking line image of the road section exists or not, counting and retaining the abnormal traffic marking line image of each road section if the abnormal traffic marking line image exists, and sending the abnormal traffic marking line image to the information analysis module;
and S2, extracting standard images of traffic signs in road sections in a road database, comparing the traffic sign images of the road sections with the standard images of the traffic signs in the road sections correspondingly, counting the numbers of the road sections with abnormalities if the traffic sign images of the road sections have the abnormalities, counting the numbers of the abnormal traffic signs corresponding to the road sections with the abnormalities, and sending the abnormal traffic sign images corresponding to the road sections with the abnormalities to an information analysis module.
The data processing unit is used for comparing the road segment street lamp brightness set with the standard street lamp brightness of each road segment in the road database to obtain a road segment street lamp brightness contrast set delta Dp(Δdp1,Δdp2,...,Δdpa,...,Δdpm) and sent to the information analysis module.
The information analysis module receives the abnormal road section traffic marking line images, the abnormal traffic sign plate images corresponding to the abnormal road sections and the road section street lamp brightness comparison set sent by the information processing module, counts the number of abnormal areas for the abnormal road section traffic marking line images, numbers the abnormal areas, obtains the geographical positions of the abnormal areas, amplifies the abnormal areas, extracts the characteristics of the abnormal areas, compares the extracted characteristics of the abnormal areas with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the extracted characteristics of the abnormal areas and the characteristics corresponding to the abnormal types, screens the abnormal type with the maximum similarity from the abnormal areas as the abnormal type of the abnormal areas, and obtains the abnormal types of the abnormal areas in the abnormal road section traffic marking line images, acquiring areas of the abnormal areas according to the outlines of the abnormal areas in the road section traffic marking line images with the abnormalities, and forming an abnormal traffic marking line parameter set by the information analysis module according to the abnormal types of the abnormal areas, the geographical positions of the abnormal areas and the areas of the abnormal areas in the road section traffic marking line images with the abnormalities, and sending the abnormal traffic marking line parameter set to the management cloud platform;
the information analysis module focuses the abnormal traffic sign images corresponding to the abnormal road sections in abnormal areas, extracts the characteristics of the abnormal areas, compares the characteristics with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the characteristics of the extracted abnormal areas and the characteristics corresponding to the abnormal types, further screens the abnormal type with the maximum similarity as the abnormal type of the abnormal area, thereby obtaining the abnormal type corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, simultaneously obtains the area corresponding to the abnormal area according to the outline of the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and forms an abnormal traffic parameter sign set by the information analysis module according to the abnormal type and the area corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and sending the data to a management cloud platform;
in the embodiment, the abnormal type and area of each abnormal area in each abnormal road section traffic marking line image and the abnormal type and area corresponding to each abnormal area in each abnormal traffic sign image corresponding to each abnormal road section are obtained, so that reference basis is provided for later analysis of the dangerous traffic marking lines and the dangerous traffic signs.
Meanwhile, the information analysis module counts the operation coefficients of all the street lamps of all the road sections according to the received street lamp brightness comparison set of the road sections
Operating factor, Δ d, of the a-th street lamp, denoted as the p-th road sectionpa is expressed as a difference value between the brightness of the a-th street lamp of the p-th road section and the standard brightness of the street lamp of the road section, dp Standard of meritAnd the standard brightness of the street lamp is expressed as the standard brightness of the p-th road section, and the standard brightness is sent to the management cloud platform.
The running coefficients of the street lamps of the road sections counted by the embodiment visually show the running conditions of the street lamps of the road sections, and the larger the running coefficient is, the better the running condition is, so that reference basis is provided for screening dangerous street lamps in the later period.
The management cloud platform receives the abnormal traffic marking line parameter set, the abnormal traffic sign parameter set and the running coefficients of all street lamps of all road sections sent by the information analysis module, extracts the abnormal types and the abnormal area areas of all abnormal areas in the abnormal road section traffic marking line images from the abnormal traffic marking line parameter set, further compares the abnormal types and the abnormal area areas with the minimum allowable area areas corresponding to all abnormal types of the traffic marking lines in the road database, sends a traffic marking line early warning instruction to the early warning module if the area of a certain abnormal area in the abnormal road section traffic marking line images is larger than the minimum allowable area corresponding to the abnormal type of the abnormal area, the abnormal road section traffic marking line is marked as a dangerous traffic marking line, the abnormal area is marked as a dangerous area, the number of the road section to which the dangerous traffic marking line belongs and the number of the abnormal area corresponding to the dangerous traffic marking line are counted at the moment, and then screening the geographic position of the corresponding abnormal area number from the abnormal traffic marking line parameter set according to the abnormal area number, so as to send the road section number of the dangerous traffic marking line, the geographic position of the dangerous area corresponding to each dangerous traffic marking line, the area of the dangerous area and the abnormal type corresponding to the dangerous area to the background display terminal.
The management cloud platform extracts the abnormal type and area corresponding to the abnormal area in each abnormal traffic sign image corresponding to each road section with abnormality from the abnormal traffic sign parameter set, then comparing the abnormal traffic sign with the minimum allowable area of each abnormal type corresponding to the traffic sign in the road database, if the abnormal area in the abnormal traffic sign image corresponding to a road section with an abnormality is larger than the minimum allowable area corresponding to the abnormal type of the abnormal area, sending a traffic sign early warning instruction to an early warning module, the abnormal traffic sign is marked as a dangerous traffic sign, the serial number of the dangerous traffic sign, the serial number of a road section to which each dangerous traffic sign belongs, the area of an abnormal area corresponding to each dangerous traffic sign and the abnormal type corresponding to the abnormal area are counted at the moment, and the counted serial numbers are sent to a background display terminal;
meanwhile, the management cloud platform compares the operation coefficient of each street lamp of each road section with the standard operation coefficient of the street lamps in the road database, if the operation coefficient of a certain street lamp of a certain road section is smaller than the standard operation coefficient of the street lamps, a street lamp early warning instruction is sent to the early warning module, the street lamps are marked as dangerous street lamps, at the moment, the serial numbers of the dangerous street lamps, the serial numbers of the road sections to which the dangerous street lamps belong and the operation coefficients of the dangerous street lamps are counted, and the running coefficients are sent to the background display terminal.
The early warning module is used for receiving the traffic marking line early warning instruction, the traffic sign board early warning instruction and the street lamp early warning instruction that management cloud platform sent to carry out corresponding early warning, these three kinds of early warning forms correspond dangerous traffic marking line, dangerous traffic sign board and dangerous street lamp in the urban road facility respectively, make the urban road managers can accurately judge dangerous urban road facility type according to the form of early warning during the early warning, thereby can in time take the pertinence measure to handle, improve the efficiency of handling.
The background display terminal is used for receiving and managing the road section number to which the dangerous traffic marking line belongs, the geographical position of the dangerous area corresponding to each dangerous traffic marking line, the area of the dangerous area and the abnormal type corresponding to the dangerous area, the dangerous traffic sign number sent by the cloud platform, the abnormal area number corresponding to each dangerous traffic sign, the abnormal type corresponding to the abnormal area, the dangerous street lamp number sent by the cloud platform, the road section number to which each dangerous street lamp belongs and the operating coefficient of each dangerous street lamp, the number of the faulty street lamp sent by the street lamp brightness parameter detection module and the road section number to which each faulty street lamp belongs, and displaying the received numbers, so that relevant urban road managers can visually know relevant data of the corresponding dangerous traffic marking line, the dangerous traffic sign and the dangerous street lamp, and then can mark the line according to dangerous traffic, dangerous traffic marks the line according to the accurate prediction of the dangerous area that dangerous traffic sign corresponds, the dangerous degree that dangerous traffic sign corresponds, and can mark the line according to dangerous traffic, the dangerous traffic sign corresponds the unusual type that dangerous area corresponds, thereby prepare relevant handling tool in advance according to the dangerous degree and the unusual type that correspond and in time carry out the pertinence and handle, improve the promptness and the validity of handling, make it resume normal operating as early as possible, avoided not in time handling the emergence that leads to the traffic accident because of dangerous urban road facility, the normal operating safety level of road has been improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (7)
1. Modern urban road running condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing, its characterized in that: the road section early warning system comprises a road section dividing module, a road section street lamp and sign board counting module, a road section image acquisition module, a road database, a street lamp brightness parameter detection module, an information processing module, an information analysis module, a management cloud platform, an early warning module and a background display terminal;
the road section dividing module is used for dividing an urban road into a plurality of road sections according to the length of the road, numbering the divided road sections according to a preset sequence, and sequentially marking the divided road sections as 1,2.
The road section street lamp and sign counting module is used for counting the number of street lamps at two sides of a road and the number of traffic signs on each divided road section, numbering the counted street lamps, and marking the counted street lamps as 1,2.. a.. m respectively, and numbering the counted traffic signs as 1,2.. b.. z respectively;
the road section image acquisition module is used for acquiring traffic marking lines existing on the road surface of each divided road section and images of each traffic sign in real time, and sending the acquired traffic marking line images of each road section and the acquired images of each traffic sign to the information processing module;
the street lamp brightness parameter detection module comprises a plurality of brightness meters and is used for detecting the brightness of each street lamp numbered in each road section to obtain the brightness of each street lamp in each road section, and further a road section street lamp brightness set D is formedp(dp1,dp2,...,dpa,...,dpm)，dpa is the brightness of the a-th street lamp of the p-th road section, p is the road section number, p is 1,2.. i.. n, and the street lamp brightness parameter detection module sends the formed road section street lamp brightness set to the information processing module;
the road database is used for storing standard traffic marking line images of all road sections, storing standard images of all traffic signs in all road sections, storing standard street lamp brightness of all road sections, storing characteristics corresponding to all abnormal types, storing minimum allowable area of the traffic marking lines corresponding to all abnormal types, storing minimum allowable area of the traffic signs corresponding to all abnormal types, and storing standard running coefficients of street lamps;
the information processing module comprises an image processing unit and a data processing unit, and is used for respectively receiving the traffic marking line images and the traffic sign board images of all road sections sent by the road section image acquisition module and the road section street lamp brightness set sent by the street lamp brightness parameter detection module, carrying out image processing on the received images and carrying out data processing on the received road section street lamp brightness set;
the image processing unit is used for processing images of the traffic marking lines of all road sections and the images of all traffic signs, and the specific processing process is as follows:
s1, extracting the standard traffic marking line image of each road section in the road database, comparing the traffic marking line image of each road section with the standard traffic marking line image of the road section, analyzing whether the abnormal traffic marking line image of the road section exists or not, counting and retaining the abnormal traffic marking line image of each road section if the abnormal traffic marking line image exists, and sending the abnormal traffic marking line image to the information analysis module;
s2, extracting standard images of traffic signs in each road section in a road database, comparing the traffic sign images of each road section with the standard images of the traffic signs in the road section correspondingly, counting the number of the road section with abnormality if the traffic sign image of a certain road section is abnormal, counting the number of the abnormal road section, counting the number of the abnormal traffic sign corresponding to the road section with abnormality, and sending the abnormal traffic sign images corresponding to the road section with abnormality to an information analysis module;
the data processing unit is used for comparing the road segment street lamp brightness set with the standard street lamp brightness of each road segment in the road database to obtain a road segment street lamp brightness contrast set delta Dp(Δdp1,Δdp2,...,Δdpa,...,Δdpm) and sending the information to an information analysis module;
the information analysis module receives the abnormal road section traffic marking line images sent by the information processing module, the abnormal traffic sign board images corresponding to the abnormal road sections and the road section street lamp brightness comparison set, counts the number of abnormal areas for the abnormal road section traffic marking line images, numbers the abnormal areas, acquires the geographical positions of the abnormal areas, amplifies the abnormal areas, extracts the characteristics of the abnormal areas, compares the extracted characteristics of the abnormal areas with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the extracted characteristics of the abnormal areas and the characteristics corresponding to the abnormal types, screens the abnormal type with the maximum similarity from the abnormal areas as the abnormal type of the abnormal areas, and obtains the abnormal type of the abnormal areas in the abnormal road section traffic marking line images, acquiring areas of the abnormal areas according to the outlines of the abnormal areas in the road section traffic marking line images with the abnormalities, and forming an abnormal traffic marking line parameter set by the information analysis module according to the abnormal types of the abnormal areas, the geographical positions of the abnormal areas and the areas of the abnormal areas in the road section traffic marking line images with the abnormalities, and sending the abnormal traffic marking line parameter set to the management cloud platform;
the information analysis module focuses the abnormal traffic sign images corresponding to the abnormal road sections in abnormal areas, extracts the characteristics of the abnormal areas, compares the characteristics with the characteristics corresponding to the abnormal types in the road database, counts the similarity between the characteristics of the extracted abnormal areas and the characteristics corresponding to the abnormal types, further screens the abnormal type with the maximum similarity as the abnormal type of the abnormal area, thereby obtaining the abnormal type corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, simultaneously obtains the area corresponding to the abnormal area according to the outline of the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and forms an abnormal traffic parameter sign set by the information analysis module according to the abnormal type and the area corresponding to the abnormal area in the abnormal traffic sign images corresponding to the abnormal road sections, and sending the data to a management cloud platform;
meanwhile, the information analysis module counts the operation coefficient of each street lamp of each road section according to the received street lamp brightness comparison set of the road section and sends the operation coefficient to the management cloud platform;
the management cloud platform receives the abnormal traffic marking line parameter set, the abnormal traffic sign parameter set and the running coefficients of all street lamps of all road sections sent by the information analysis module, extracts the abnormal types and the abnormal area areas of all abnormal areas in the abnormal road section traffic marking line images from the abnormal traffic marking line parameter set, further compares the abnormal types and the abnormal area areas with the minimum allowable area areas of all abnormal types corresponding to the traffic marking lines in the road database, sends a traffic marking line early warning instruction to the early warning module if the area of a certain abnormal area in the abnormal road section traffic marking line images is larger than the minimum allowable area corresponding to the abnormal type of the abnormal area, the abnormal road section traffic marking line is marked as a dangerous traffic marking line, the abnormal area is marked as a dangerous area, the number of the road section to which the dangerous traffic marking line belongs and the number of the abnormal area corresponding to the dangerous traffic marking line are counted at the moment, then screening the geographic position of the corresponding abnormal area number from the abnormal traffic marking line parameter set according to the abnormal area number, so as to send the road section number of the dangerous traffic marking line and the geographic position and the area of the dangerous area corresponding to the dangerous traffic marking line to a background display terminal;
the management cloud platform extracts abnormal types and areas corresponding to abnormal areas in abnormal traffic sign images corresponding to the abnormal road sections from the abnormal traffic sign parameter set, compares the abnormal types and the areas with minimum allowable areas corresponding to the abnormal types of the traffic signs in a road database, sends a traffic sign early warning instruction to an early warning module if the area of the abnormal area in the abnormal traffic sign image corresponding to the abnormal road section is larger than the area of the minimum allowable area corresponding to the abnormal type of the abnormal area, records the abnormal traffic sign as a dangerous traffic sign, counts the serial number of the dangerous traffic sign, the serial number of the road section to which the dangerous traffic sign belongs and the area of the abnormal area corresponding to the dangerous traffic sign at the moment, and sends the serial number of the road section to which the dangerous traffic sign belongs and the area of the abnormal area to which the dangerous traffic sign to a background;
meanwhile, the management cloud platform compares the operation coefficient of each street lamp of each road section with the standard operation coefficient of the street lamps in the road database, if the operation coefficient of a certain street lamp of a certain road section is smaller than the standard operation coefficient of the street lamps, a street lamp early warning instruction is sent to an early warning module, the street lamps are marked as dangerous street lamps, at the moment, the serial numbers of the dangerous street lamps, the serial numbers of the road sections to which the dangerous street lamps belong and the operation coefficients of the dangerous street lamps are counted, and the running coefficients are sent to a background display terminal;
the early warning module is used for receiving a traffic marking line early warning instruction, a traffic sign board early warning instruction and a street lamp early warning instruction which are sent by the management cloud platform, so that corresponding early warning is carried out;
the background display terminal is used for receiving and displaying the road section number to which the dangerous traffic marking line belongs, the geographical position and the dangerous area of the dangerous area corresponding to the dangerous traffic marking line, the dangerous traffic sign number, the road section number to which the dangerous traffic sign belongs, the abnormal area and the dangerous street lamp number corresponding to the dangerous traffic sign, the road section number to which the dangerous street lamp belongs and the running coefficient of the dangerous street lamp, wherein the road section number to which the dangerous traffic marking line belongs is sent by the management cloud platform.
2. The modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing according to claim 1, characterized in that: the specific dividing method for dividing the urban road into a plurality of road sections according to the length of the road by the road section dividing module is as follows:
h1, acquiring the starting point and the end point of the urban road;
h2, counting the length distance from the start point to the end point of the urban road;
h3, evenly dividing the counted length distance into n sections, and marking each section of urban road as a road section, thereby dividing the urban road into a plurality of road sections.
3. The modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing according to claim 1, characterized in that: the street lamp brightness parameter detection module also comprises a step of counting the failed street lamps, wherein the specific counting method comprises the steps of analyzing the obtained brightness of each street lamp of each road section when the brightness of each street lamp of each road section is obtained through a brightness meter, indicating that the street lamp fails if the brightness of a certain street lamp is zero, marking the street lamp as the failed street lamp, counting the serial number of the failed street lamp and the serial number of the road section to which the failed street lamp belongs at the moment, and sending the serial numbers to a background display terminal.
4. The modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing according to claim 1, characterized in that: the abnormal types comprise fuzzy, incomplete and pollution, wherein the fuzzy refers to that the traffic marking lines or the traffic signs are displayed in a fuzzy mode, the incomplete refers to that the traffic marking lines or the traffic signs are displayed in an incomplete mode, and the pollution refers to that the traffic marking lines or the traffic signs are polluted by other substances.
5. Modern big data and cloud computing based city according to claim 1Road running state real-time on-line monitoring early warning management cloud platform, its characterized in that: the calculation formula of the running coefficient of each street lamp of each road section is
Operating factor, Δ d, of the a-th street lamp, denoted as the p-th road sectionpa is expressed as a difference value between the brightness of the a-th street lamp of the p-th road section and the standard brightness of the street lamp of the road section, dp Standard of meritExpressed as the standard brightness of the street lamp for the p-th road segment.
6. The modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing according to claim 1, characterized in that: the management cloud platform sends the serial number of the road section to which the dangerous traffic marking line belongs, the geographical position of the dangerous area corresponding to the dangerous traffic marking line and the area of the dangerous area to the background display terminal, and simultaneously sends the abnormal type corresponding to the dangerous area to the background display terminal.
7. The modern urban road operation condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing according to claim 1, characterized in that: the management cloud platform sends the dangerous traffic sign number, the road section number to which the dangerous traffic sign belongs and the abnormal area corresponding to the dangerous traffic sign to the background display terminal, and simultaneously sends the abnormal type corresponding to the abnormal area of the corresponding dangerous traffic sign to the background display terminal.
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