CN109637135A - A kind of circumstance video monitoring early warning system based on computer network - Google Patents
A kind of circumstance video monitoring early warning system based on computer network Download PDFInfo
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- CN109637135A CN109637135A CN201811631019.0A CN201811631019A CN109637135A CN 109637135 A CN109637135 A CN 109637135A CN 201811631019 A CN201811631019 A CN 201811631019A CN 109637135 A CN109637135 A CN 109637135A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
- G08G1/13—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station the indicator being in the form of a map
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The circumstance video monitoring early warning system based on computer network that the invention particularly discloses a kind of, acquisition by the road camera in video acquisition module to the video information of road conditions, and virtual map module is sent by server by video, virtual map module integrates the video information of each camera, the position of congestion and the time feedbacking of congestion are gone out to server by cartographic analysis module analysis again, the time of the position of congestion and congestion is sent red light control module and road control module by server, to be adjusted according to crowded degree in the lamp of road crowded places traffic lights, the crowded direction board of warning road ahead is also had around crowded section of highway, simultaneously road condition predicting module also can according to it is previous largely data come predict may be crowded road, and server is sent by these data, refer in road Show and shown on board, client can show real-time road congested conditions, can also know the crowded road of prediction in advance.
Description
Technical field
The present invention relates to field of video monitoring, in particular to a kind of circumstance video monitoring early warning system based on computer network
System.
Background technique
Video monitoring greatly acts on as it can be seen that also playing simultaneously everywhere in present life, can be by the thing of generation
Feelings are recorded, and management of the people for monitoring area is facilitated, especially in terms of the traffic in city, point of road camera
Cloth be quantity it is most and monitoring range it is most wide, but these road cameras are served only for the violation of monitoring vehicle
Traveling, there are also very big degree without this development and utilization.
Such as road is when congestion, the problem of not can solve congestion, does not bring to the trip of people
Good user experience.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned problems of the prior art, a kind of ring based on computer network is provided
Border video monitoring early warning system.Monitoring by road camera to urban traffic situation is arranged and attached by the traffic light time on backstage
Close road indicator adjusts the length of time of each crossroads traffic light and prompts user's travel plan, so that road is no longer
It is crowded, while most true traffic information is provided to client user.
The technical scheme is that a kind of circumstance video monitoring early warning system based on computer network, comprising:
Video acquisition module, by build each road camera on urban road by captured video information and
The location information of camera is uploaded to server in real time；
Virtual map module, for receiving the video information and location information of server transmission, and by the video information root
It is integrated according to location information, generates city video information, and city video information is sent to cartographic analysis module；
Cartographic analysis module, for receive virtual map module transmission city video information, to city video information into
Time this moment is set as congestion temporal information by row processing, and by the congestion location information in congestion area and congestion temporal information
It is sent to server；
Database, for receiving the congestion location information and congestion temporal information of server transmission, and list stores, simultaneously
Road condition predicting module is sent by congestion location information and congestion temporal information；
Road condition predicting module, the congestion location information and congestion temporal information that library is sent for receiving data, according to congestion
Congestion predictive information is integrated to congestion temporal information and generated to location information, and congestion predictive information is sent to server
And client；
Server, for receiving the video information and location information of video acquisition module transmission, and by the video information and
Location information is forwarded to virtual map module；For receiving the congestion location information and congestion time letter of the transmission of cartographic analysis module
Breath, and send database for congestion location information and congestion temporal information and store, while congestion location information being distinguished
It is sent to traffic lights control module and road indicator control module；For receiving the congestion prediction letter of road condition predicting module transmission
Breath, and send this information to road indicator control module；User's registration for that will complete client is audited, and by congestion
Location information is sent to client；
Traffic lights control module, for receiving the congestion location information of server transmission, according to congestion location information to phase
The traffic lights of corresponding position send regulation and control instruction, so that changing when the lamp of traffic lights, when the road of congestion extends lamp；
Road indicator control module, for receiving the congestion location information and congestion predictive information of server transmission, and
Congestion location information is shown on the road indicator around congestion location information, shows that congestion is pre- on all road indicators
Measurement information；
Client, for user registration and receive the congestion location information of server transmission, while showing and gathering around to user
Stifled location information and congestion predictive information.
Preferably, being additionally provided with the clock being connected with internet in database, while being carried out with 30 days for a update cycle
The update of data.
Preferably, the congestion temporal information include year information, month information, day information, hour information and minute information.
Preferably, the road condition predicting module by the consistent congestion temporal information of congestion location information hour information and
Minute information is counted, and the section of hour information and minute Information Statistics is denoted as congestion time segment information, and by the congestion time
Segment information and the integration of congestion location information generate congestion predictive information.
Preferably, the traffic lights control module adjusts traffic lights according to the distribution proportion of location information crowded on road
Lamp when.
Preferably, the traffic lights that the traffic lights control module is controlled, additionally it is possible to by the road near traffic lights
Camera video data collected is handled, and obtains the crowded ratio of belt road and longitudinal road, and according to crowded
When ratio adjust automatically lamp, when receiving the regulation and control instruction of traffic lights control module transmission, by crowded ratio and regulation and control instruction into
When going and integrate, then adjusting lamp.
Beneficial effects of the present invention: it is pre- that a kind of circumstance video monitoring based on computer network is provided in the embodiment of the present invention
Alert system, the acquisition by the road camera in video acquisition module to the video information of road conditions, and video is passed through into service
Device is sent to virtual map module, and virtual map module integrates the video information of each camera, then by cartographic analysis module point
The time feedbacking of the position of congestion and congestion sends the time of the position of congestion and congestion to red to server, server at analysis
Lamp control module and road control module, to can be carried out according to crowded degree in the lamp of road crowded places traffic lights
Adjustment also has the crowded direction board of warning road ahead around crowded section of highway, helps people to avoid crowded section of highway, smoothly
Trip, at the same road condition predicting module can also be predicted according to previous largely data may be crowded road, and these are counted
It according to server is sent to, is shown on road indicator, also people can be helped to avoid crowded section of highway in advance, in addition client
It can show real-time road congested conditions, can also know the crowded road of prediction in advance, so that people are when trip
It is more convenient.
Detailed description of the invention
Fig. 1 is a kind of system structure frame of the circumstance video monitoring early warning system based on computer network provided by the invention
Figure.
Specific embodiment
With reference to the accompanying drawing, the specific embodiment of the present invention is described in detail, it is to be understood that of the invention
Protection scope be not limited by the specific implementation.
Referring to Fig. 1, the circumstance video monitoring early warning system based on computer network that the embodiment of the invention provides a kind of, packet
It includes:
Video acquisition module, by build each road camera on urban road by captured video information and
The location information of camera is uploaded to server in real time；
Virtual map module, for receiving the video information and location information of server transmission, and by the video information root
It is integrated according to location information, generates city video information, and city video information is sent to cartographic analysis module；
Cartographic analysis module, for receive virtual map module transmission city video information, to city video information into
Time this moment is set as congestion temporal information by row processing, and by the congestion location information in congestion area and congestion temporal information
It is sent to server；
Database, for receiving the congestion location information and congestion temporal information of server transmission, and list stores, simultaneously
Road condition predicting module is sent by congestion location information and congestion temporal information；
Road condition predicting module, the congestion location information and congestion temporal information that library is sent for receiving data, according to congestion
Congestion predictive information is integrated to congestion temporal information and generated to location information, and congestion predictive information is sent to server
And client；
Server, for receiving the video information and location information of video acquisition module transmission, and by the video information and
Location information is forwarded to virtual map module；For receiving the congestion location information and congestion time letter of the transmission of cartographic analysis module
Breath, and send database for congestion location information and congestion temporal information and store, while congestion location information being distinguished
It is sent to traffic lights control module and road indicator control module；For receiving the congestion prediction letter of road condition predicting module transmission
Breath, and send this information to road indicator control module；User's registration for that will complete client is audited, and by congestion
Location information is sent to client；
Traffic lights control module, for receiving the congestion location information of server transmission, according to congestion location information to phase
The traffic lights of corresponding position send regulation and control instruction, so that changing when the lamp of traffic lights, when the road of congestion extends lamp；
Road indicator control module, for receiving the congestion location information and congestion predictive information of server transmission, and
Congestion location information is shown on the road indicator around congestion location information, shows that congestion is pre- on all road indicators
Measurement information；
Client, for user registration and receive the congestion location information of server transmission, while showing and gathering around to user
Stifled location information and congestion predictive information.
Further, be additionally provided with the clock being connected with internet in database, at the same with 30 days for a update cycle into
The update of row data.
Further, the congestion temporal information include year information, month information, day information, hour information and minute letter
Breath.
Further, the road condition predicting module is by the hour information in the consistent congestion temporal information of congestion location information
It is counted with minute information, the section of hour information and minute Information Statistics is denoted as congestion time segment information, and when by congestion
Between segment information and congestion location information integration generate congestion predictive information.
Further, the traffic lights control module adjusts red green according to the distribution proportion of location information crowded on road
When the lamp of lamp.
Further, the traffic lights that the traffic lights control module is controlled, additionally it is possible to by the road near traffic lights
Camera video data collected in road is handled, and obtains the crowded ratio of belt road and longitudinal road, and according to gathering around
When squeezing ratio adjust automatically lamp, when receiving the regulation and control instruction of traffic lights control module transmission, by crowded ratio and regulation and control instruction
When being integrated, then adjusting lamp.
In conclusion the invention particularly discloses a kind of circumstance video monitoring early warning system based on computer network, packet
It is pre- to include video acquisition module, traffic lights control module, road indicator control module, server, database, client, road conditions
Survey module, virtual map module and cartographic analysis module.By the road camera in video acquisition module to the view of road conditions
The acquisition of frequency information, and send virtual map module by server for video, virtual map module is by the view of each camera
The integration of frequency information, then by the position of cartographic analysis module analysis congestion and the time feedbacking of congestion to server, server will
The position of congestion and the time of congestion are sent to red light control module and road control module, thus red in road crowded places
It can be adjusted according to crowded degree when the lamp of green light, the crowded finger of warning road ahead is also had around crowded section of highway
Show board, people is helped to avoid crowded section of highway, smoothly go on a journey, while road condition predicting module also can be according to previous a large amount of data come pre-
Road that may be crowded is surveyed, and sends server for these data, is shown on road indicator, can also help people
Crowded section of highway is avoided in advance, and in addition client can show real-time road congested conditions, can also know prediction in advance
Crowded road, so that people are more convenient when trip.
Disclosed above is only several specific embodiments of the invention, and still, the embodiment of the present invention is not limited to this, is appointed
What what those skilled in the art can think variation should all fall into protection scope of the present invention.
Claims (6)
1. a kind of circumstance video monitoring early warning system based on computer network characterized by comprising
Video acquisition module, by building each road camera on urban road for captured video information and camera shooting
The location information of head is uploaded to server in real time；
Virtual map module, for receiving the video information and location information of server transmission, and by the video information according to position
Confidence breath is integrated, and generates city video information, and city video information is sent to cartographic analysis module；
Cartographic analysis module, for receiving the city video information of virtual map module transmission, at city video information
Time this moment is set as congestion temporal information, and the congestion location information in congestion area and congestion temporal information is sent by reason
To server；
Database, for receiving the congestion location information and congestion temporal information of server transmission, and list stores, while will gather around
Stifled location information and congestion temporal information are sent to road condition predicting module；
Road condition predicting module, the congestion location information and congestion temporal information that library is sent for receiving data, according to congestion position
Congestion predictive information is integrated to congestion temporal information and generated to information, and congestion predictive information is sent to server and visitor
Family end；
Server, for receiving the video information and location information of video acquisition module transmission, and by the video information and position
Information is forwarded to virtual map module；For receiving the congestion location information and congestion temporal information of the transmission of cartographic analysis module,
And database is sent by congestion location information and congestion temporal information and is stored, while congestion location information being sent respectively
To traffic lights control module and road indicator control module；For receiving the congestion predictive information of road condition predicting module transmission,
And send this information to road indicator control module；User's registration for that will complete client is audited, and by congestion position
Confidence breath is sent to client；
Traffic lights control module, for receiving the congestion location information of server transmission, according to congestion location information to corresponding
The traffic lights of position send regulation and control instruction, so that changing when the lamp of traffic lights, when the road of congestion extends lamp；
Road indicator control module for receiving the congestion location information and congestion predictive information of server transmission, and is being gathered around
Congestion location information is shown on road indicator around stifled location information, and congestion prediction letter is shown on all road indicators
Breath；
Client, for user registration and receive server transmission congestion location information, while to user show congestion position
Confidence breath and congestion predictive information.
2. a kind of circumstance video monitoring early warning system based on computer network as described in claim 1, which is characterized in that number
According to being additionally provided with the clock being connected with internet in library, while the update of data was carried out for a update cycle with 30 days.
3. a kind of circumstance video monitoring early warning system based on computer network as described in claim 1, which is characterized in that institute
State congestion temporal information include year information, month information, day information, hour information and minute information.
4. a kind of circumstance video monitoring early warning system based on computer network as claimed in claim 3, which is characterized in that institute
State road condition predicting module by the consistent congestion temporal information of congestion location information hour information and minute information count,
The section of hour information and minute Information Statistics is denoted as congestion time segment information, and congestion time segment information and congestion position are believed
Breath integration generates congestion predictive information.
5. a kind of circumstance video monitoring early warning system based on computer network as described in claim 1, which is characterized in that institute
When stating lamp of the traffic lights control module according to the distribution proportion of location information crowded on road to adjust traffic lights.
6. a kind of circumstance video monitoring early warning system based on computer network as claimed in claim 5, which is characterized in that institute
State the traffic lights that traffic lights control module is controlled, additionally it is possible to by the road camera video collected near traffic lights
Data are handled, and the crowded ratio of belt road and longitudinal road is obtained, and when according to crowded ratio adjust automatically lamp, when
When receiving the regulation and control instruction of traffic lights control module transmission, when crowded ratio being integrated with regulation and control instruction, then adjusting lamp.
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| CN201811631019.0A CN109637135A (en) | 2018-12-29 | 2018-12-29 | A kind of circumstance video monitoring early warning system based on computer network |
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| CN201811631019.0A CN109637135A (en) | 2018-12-29 | 2018-12-29 | A kind of circumstance video monitoring early warning system based on computer network |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110533933A (en) * | 2019-08-17 | 2019-12-03 | 济南晟杰锦天科技有限公司 | A kind of road information displaying system for traffic guiding |
| CN110689750A (en) * | 2019-11-06 | 2020-01-14 | 中国联合网络通信集团有限公司 | Intelligent bus stop board system and control method thereof |
| CN111477012A (en) * | 2020-06-24 | 2020-07-31 | 平安国际智慧城市科技股份有限公司 | Tracing method and device based on road condition state prediction model and computer equipment |
| CN111785020A (en) * | 2020-06-23 | 2020-10-16 | 江苏鼎观智能科技有限公司 | Automatic driving sightseeing vehicle control method and system |
| CN112735152A (en) * | 2021-01-07 | 2021-04-30 | 王美金 | Multi-agent cooperative internet vehicle intersection mixed traffic control system and method |
| CN114613145A (en) * | 2022-05-12 | 2022-06-10 | 中运科技股份有限公司 | Passenger traffic flow perception early warning system and method under big data |
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| CN114613145A (en) * | 2022-05-12 | 2022-06-10 | 中运科技股份有限公司 | Passenger traffic flow perception early warning system and method under big data |
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Application publication date: 20190416 |