CN112258853A - Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous - Google Patents

Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous Download PDF

Info

Publication number
CN112258853A
CN112258853A CN202011115640.9A CN202011115640A CN112258853A CN 112258853 A CN112258853 A CN 112258853A CN 202011115640 A CN202011115640 A CN 202011115640A CN 112258853 A CN112258853 A CN 112258853A
Authority
CN
China
Prior art keywords
visibility
fog
information
monitoring
value
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.)
Pending
Application number
CN202011115640.9A
Other languages
Chinese (zh)
Inventor
沙广军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Luoyang Cloud Sensing Technology Co ltd
Original Assignee
Luoyang Cloud Sensing Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Luoyang Cloud Sensing Technology Co ltd filed Critical Luoyang Cloud Sensing Technology Co ltd
Priority to CN202011115640.9A priority Critical patent/CN112258853A/en
Publication of CN112258853A publication Critical patent/CN112258853A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/048Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Traffic Control Systems (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention relates to the field of automatic monitoring of road weather, in particular to a chain visibility monitoring and early warning system for a refined highway fog area, which mainly comprises a fog area information acquisition unit, a communication system, a platform management system and an information release unit; the fog area information acquisition unit is used for directly monitoring and feeding back information of the fog information state on the highway, the scientific overall structure layout design of the chained visibility monitoring and early warning system for the refined highway fog area is scientific, the fog information on the highway can be accurately and timely monitored and monitored in the specific using process, the strain capacity on severe weather is greatly enhanced, the traffic safety of the highway is improved, and the occurrence of catastrophic traffic accidents caused by continuous rear-end collision of multiple vehicles due to the fog on the highway is reduced.

Description

Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous
Technical Field
The invention relates to the field of automatic monitoring of road weather, in particular to a chain type visibility monitoring and early warning system for a refined highway fog area.
Background
Weather monitoring refers to the activities of the weather monitoring mechanism for integrally monitoring and early warning the weather environment conditions through a weather monitoring system. The meteorological monitoring system monitors and reports indexes reflecting meteorological quality to determine meteorological environment data such as rainfall, wind speed and wind direction of the ground. The meteorological monitoring is the basis of scientific management of meteorology and meteorological law enforcement supervision, and is essential basic work for meteorological prediction. The core objective of meteorological monitoring is to provide data of the current situation and change trend of meteorological elements, predict meteorological changes, smoothly solve the current main meteorological problems and serve meteorological management. With the rapid development of Chinese economy in these years, expressways in various provinces are more and more built, and a four-way and eight-reach expressway network is gradually formed, so that great convenience is provided for transportation and people going out. However, severe traffic accidents caused by head-to-tail collision of multiple vehicles often occur in severe weather such as heavy fog, foggy mass and the like, and a great risk exists when the vehicles run on a highway. Therefore, it is important to enhance the strain capacity to severe weather and to improve the traffic safety of the highway. The characteristics of fast speed, large flow and self full-closed and full-interchange of the highway require that vehicles cannot be decelerated and stopped at will, so that once fog is generated on the highway, chain reaction can be caused frequently, and finally, a catastrophic traffic accident of multiple vehicle continuous rear-end collision is formed.
There are many solutions proposed in the prior art to the above-mentioned problems. If an unmanned aerial vehicle is adopted to monitor weather of roads along the line in real time and feed back weather information in time (for example, a BIM-based unmanned aerial vehicle road detection system with the patent number of CN 201710373143.0); extracting a moving target by adopting a video, and identifying whether the moving target is fog group or not according to the characteristics of the moving target (for example, a highway fog group real-time monitoring system and method of a GIS (geographic information system) with the patent number of CN 201610666601.5); a camera is used for shooting images of laser signals with a certain number of frames, an observation system is established, and the relation between the group fog and the laser signals is established (for example, a visibility, humidity and temperature integrated device with the application number of CN 201620005108.4). Although the technical scheme has certain feasibility, in practical application, the technical scheme only exists in a design concept, so that an applicable scheme for monitoring and early warning visibility in a fine highway fog area is urgently required to be explored in the prior art.
Disclosure of Invention
The invention aims to provide a chain type visibility monitoring and early warning system for a refined highway fog area, which can accurately and timely monitor and early warn feedback of fog on a highway, greatly improve the safety of vehicle passing on the highway, avoid the occurrence of catastrophic traffic accidents caused by continuous rear-end collision of multiple vehicles, has low production cost of the whole hardware and is suitable for large-scale popularization and application.
In order to achieve the purpose, the invention adopts the following technical scheme:
a chain visibility monitoring and early warning system for a refined road fog area mainly comprises a fog area information acquisition unit, a communication system, a platform management system and an information release unit;
the fog region information acquisition unit is used for directly monitoring the information state of the fog on the highway and feeding back the information, and mainly comprises a visibility detector, a power supply unit and a communication unit, wherein the power supply unit is used for supplying power to the visibility detector, the communication unit is used for transmitting data of the visibility detector, the visibility detector comprises a light emitter, a light receiver and a microprocessor controller, the light emitter can emit infrared pulse light, the light receiver can detect the intensity of the forward scattered pulse light of aerosol particles in the atmosphere, and the measurement information received by the light receiver is collected by the microprocessor controller and converted into a meteorological optical visual range and finally converted into a visibility value to be displayed;
the communication system is used for transmitting data acquired by the fog region information acquisition unit to the platform management system, the communication system is built in a LORA module networking operation mode, the LORA module has the advantages of long transmission distance and low power consumption, multi-signal demodulation can be realized on the same channel, visibility meteorological information of multiple points along the line can be continuously obtained, and the visibility meteorological information is transmitted to the platform management system;
the platform management system can calculate and process the collected visibility data in real time and visually display the visibility data on a map interface, so that a user can conveniently observe the visibility data, and when the crowd fog threatens the safe driving of the driver and the passenger, the platform management system can trigger an alarm and push alarm information to an information issuing unit in time;
the information issuing unit is mainly coordinated with the platform management system together, so that real-time monitoring of the mist and information issuing, decision making and control are realized.
The visibility detector adopts the forward scattering principle to measure forward scattering light which is less than 90 degrees and is emitted by suspended particles and precipitation particles in a sampling area, so that information is acquired.
The sampling area of the visibility detector is determined by the intersection part of the transmitting light path of the light emitter and the receiving light path of the light receiver.
The microprocessor controller can monitor the current aerosol scattering coefficient, the number of precipitation particles, the particle size and the falling speed information in the sampling area of the visibility detector and analyze the visibility value and the size of rain and snow in the current sampling area.
A concrete working process of a chain visibility monitoring and early warning system for a refined road fog area is as follows:
s1, firstly, establishing a rectangular coordinate system, wherein an X axis is pile number position information of the visibility monitoring station, a visibility value measured by the X axis position is a Y axis coordinate, and other pile numbers are compiled according to the same method, so that the visibility value of each monitoring station is unique in the rectangular coordinate system;
s2, solving a fitting curve according to a polynomial interpolation algorithm:
interpolation is to interpolate the function value of the point according to the function table given by the interpolated function, and the value of p (x) is used as the approximate value of f (x), which can be understood as: knowing that there are n +1 different points on the plane, an nth order polynomial curve p (x) is soughti) Infinite approximation f (x)i) These points.
According to the polynomial interpolation method, a group of proper basis functions needs to be found among nth-order polynomials,
Figure BDA0002730091540000031
make it
Figure BDA0002730091540000032
Setting the basis function to l by Lagrange interpolationk(xj) The basis functions need to satisfy the condition:
Figure BDA0002730091540000033
solving an interpolation basis function to make:
lk(x)=A(x-x0)...(x-xn)
is prepared fromk(xk) 1, obtaining:
Figure BDA0002730091540000034
the basis functions were found to be:
Figure BDA0002730091540000035
then, a polynomial interpolation equation is obtained as:
Figure BDA0002730091540000036
wherein the content of the first and second substances,
Figure BDA0002730091540000041
let r (x) be f (x) -l (x) be a truncation error, so it is only necessary to ensure that | r (x) | is minimum;
s3, measuring the visibility data (x)i,yi) Substituting n into the fitted curve, solving a minimum value of the curve through a polynomial derivation method, wherein the calculated minimum value y is a minimum visibility value of the detection area, and is the central position of the foggy area;
and S4, the platform management system can intuitively distinguish the visibility conditions in different areas through colors according to the measured and calculated visibility values. The colors for different visibility values are designed as follows:
200m < visibility <500m yellow
50m < visibility <200m orange
Visibility <50m red
Therefore, the distribution area of the mist can be visually observed through colors;
s5, uploading the visibility data every one minute, that is, calculating the central area of the mist every one minute, comparing the current coordinate position with the coordinate position before one minute, and calculating the moving direction of the mist according to the following formula:
Figure BDA0002730091540000042
the moving speed of the cluster fog can be calculated;
s6, the platform management system sends the related early warning information to the information release unit, and the sound, light and electricity modes are utilized to remind most drivers and passengers to pay attention to driving through an LED screen, broadcasting and traffic control measures, so that accidents are reduced.
Further, in order to improve the calculation accuracy of the center position of the cloud area, in the step S3, the coordinate value of the X axis may be calculated every 50 meters, that is, the coordinate value of the X axis is (X)i,xi+50,xi+100,xi+150...)。
The invention has the beneficial effects that: the chain type visibility monitoring and early warning system for the fine highway fog area has scientific overall structure layout design, can accurately and timely monitor and monitor the cluster fog information on the highway in the specific use process, greatly enhances the strain capacity to severe weather, improves the traffic safety of the highway, and reduces the occurrence of catastrophic traffic accidents caused by multiple vehicle continuous rear-end collisions due to the cluster fog on the highway.
Drawings
FIG. 1 is a schematic block diagram of the whole scheme of a chain visibility monitoring and early warning system for a fine road fog area;
FIG. 2 is a flow chart of a visibility value calculation method in a chain visibility monitoring and warning system for a fine road fog area according to the present invention;
FIG. 3 is a flow chart of an early warning process in the chain visibility monitoring early warning system for a refined road fog area;
Detailed Description
Specific example 1: the technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. 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. It should be noted that: in the present invention, all the embodiments and preferred methods mentioned herein can be combined with each other to form a new technical solution, if not specifically stated. In the present invention, all the technical features mentioned herein and preferred features may be combined with each other to form a new technical solution, if not specifically stated. In the present invention, the components referred to or the preferred components thereof may be combined with each other to form a novel embodiment, if not specifically stated. In the present invention, unless otherwise stated, the numerical range "a-b" represents a shorthand representation of any combination of real numbers between a and b, where a and b are both real numbers. For example, a numerical range of "1.5 to 2.5" means that all real numbers between "1.5 to 2.5" have been listed herein, and "1.5 to 2.5" is only a shorthand representation of the combination of these values. The "ranges" disclosed herein may have one or more lower limits and one or more upper limits, respectively, in the form of lower limits and upper limits. In the present invention, unless otherwise specified, the individual reactions or operation steps may be performed sequentially or may be performed in sequence. Preferably, the reaction processes herein are carried out sequentially. Unless otherwise defined, technical and scientific terms used herein have the same meaning as is familiar to those skilled in the art. In addition, any methods or materials similar or equivalent to those described herein can also be used in the present invention.
A chain visibility monitoring and early warning system for a refined road fog area mainly comprises a fog area information acquisition unit, a communication system, a platform management system and an information release unit; the fog region information acquisition unit is used for directly monitoring the information state of the fog on the highway and feeding back information, and mainly comprises a visibility detector, a power supply unit and a communication unit, wherein the power supply unit is used for supplying power to the visibility detector, the communication unit is used for transmitting data of the visibility detector, the visibility detector comprises a light emitter, a light receiver and a microprocessor controller, the light emitter can emit infrared pulse light, the light receiver can detect the pulse light intensity of forward scattering of aerosol particles in the atmosphere, when the visibility detector works, the aerosol (fog drops, smoke dust and the like) and precipitation particles (raindrops, snow flakes and the like) pass through a sampling region (the sampling region of the visibility detector is determined by the intersection part of the light path emitted by the light emitter and the receiving light path of the light receiver), and the light emitter can emit the infrared pulse light to generate light scattering phenomenon after irradiation, the scattered light in a certain angle range is detected by the light receiver and converted into an electric signal, the signal passes through a high-precision and stable amplifying circuit, is synchronously converted into a digital quantity signal by an A/D converter in the receiver and then is sent into the micro-processing controller, and the micro-processing controller samples and calculates to obtain the information of the current aerosol scattering coefficient, the number of precipitation particles, the particle size, the falling speed and the like. On the basis, the instrument statistically analyzes the current visibility value, the size of rain and snow and the like, and finally converts the visibility value into the visibility value to be displayed; the communication system is used for transmitting data acquired by the fog region information acquisition unit to the platform management system, the communication system is built in a networking operation mode of an LORA module, the LORA module has the advantages of long transmission distance and low power consumption, multi-signal demodulation can be realized on the same channel, visibility meteorological information of multiple points along the line can be continuously obtained, and the visibility meteorological information is transmitted to the platform management system; the platform management system can calculate and process the collected visibility data in real time and visually display the visibility data on a map interface, so that a user can conveniently observe the visibility data, and when the crowd fog threatens the safe driving of the driver and the passenger, the platform management system can trigger an alarm and push alarm information to an information issuing unit in time; the information issuing unit realizes timely response to the group fog by measures such as LED screen prompt, radio broadcasting, traffic control and the like, reduces travel risks, realizes real-time monitoring of the group fog and information issuing, decision and control under the cooperative action of a platform management system and the information issuing unit, and is a basic unit and a system expansion unit. The visibility detector adopts a forward scattering principle to measure forward scattering light of less than 90 degrees emitted by suspended particles and precipitation particles in a sampling area so as to acquire information (compared with a transmission type visibility instrument, the forward scattering visibility detector has the advantages of convenience in installation, simple structure and low cost, and is very suitable for large-scale popularization, in addition, the visibility detector adopted by the system has the advantage of low power consumption, the average power consumption is only 2W, and for some remote areas, especially for occasions where commercial power cannot be supplied, a solar energy and storage battery power supply mode can be adopted, so that the application scene is greatly expanded).
The detailed working process of the chain visibility monitoring and early warning system for the refined road fog area comprises the following steps:
s1, firstly, establishing a rectangular coordinate system, wherein the X axis is the pile number position information of the visibility monitoring station, taking the pile number as an example, if the pile number of a certain station is K100+90, the letter is 100.9, namely the X axis coordinate is 100.9, the measured visibility value is the Y axis coordinate, and other pile numbers are compiled according to the same method, so that the visibility value of each monitoring station is unique in the rectangular coordinate system;
s2, solving a fitting curve according to a polynomial interpolation algorithm:
interpolation is to interpolate the function value of the point according to the function table given by the interpolated function, and the value of p (x) is used as the approximate value of f (x), which can be understood as: knowing that there are n +1 different points on the plane, an nth order polynomial curve p (x) is soughti) Infinite approximation f (x)i) These points.
According to the polynomial interpolation method, a group of proper basis functions needs to be found among nth-order polynomials,
Figure BDA0002730091540000071
make it
Figure BDA0002730091540000072
Setting the basis function to l by Lagrange interpolationk(xj) The basis functions need to satisfy the condition:
Figure BDA0002730091540000073
solving an interpolation basis function to make:
lk(x)=A(x-x0)...(x-xn)
is prepared fromk(xk) 1, obtaining:
Figure BDA0002730091540000074
the basis functions were found to be:
Figure BDA0002730091540000075
then, a polynomial interpolation equation is obtained as:
Figure BDA0002730091540000076
wherein the content of the first and second substances,
Figure BDA0002730091540000077
let r (x) be f (x) -l (x) be a truncation error, so it is only necessary to ensure that | r (x) | is minimum;
s3, measuring the visibility data (x)i,yi) i is 0,1, n is substituted into the fitted curve, the minimum value of the curve is calculated by a polynomial derivation rule,the calculated minimum value y is the minimum visibility value of the detection area, namely the central position of the foggy area; in order to improve the calculation accuracy of the center position of the cloud region, in the above step S3, the coordinate value of the X axis may be calculated every 50 meters, i.e., the coordinate value of the X axis is (X)i,xi+50,xi+100,xi+150...)。
And S4, the platform management system can intuitively distinguish the visibility conditions in different areas through colors according to the measured and calculated visibility values. The colors for different visibility values are designed as follows:
200m < visibility <500m yellow
50m < visibility <200m orange
Visibility <50m red
Therefore, the distribution area of the mist can be visually observed through colors;
s5, uploading the visibility data every one minute, that is, calculating the central area of the mist every one minute, comparing the current coordinate position with the coordinate position before one minute, and calculating the moving direction of the mist according to the following formula:
Figure BDA0002730091540000081
the moving speed of the cluster fog can be calculated;
s6, the platform management system sends the relevant early warning information to the information release unit, and the sound, light and electricity modes are utilized to remind most drivers and passengers to pay attention to driving through an LED screen, broadcasting and traffic control measures, so that accidents are reduced. The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.

Claims (6)

1. A chain visibility monitoring and early warning system for a refined road fog area is characterized by mainly comprising a fog area information acquisition unit, a communication system, a platform management system and an information release unit;
the fog region information acquisition unit is used for directly monitoring the information state of the fog on the highway and feeding back the information, and mainly comprises a visibility detector, a power supply unit and a communication unit, wherein the power supply unit is used for supplying power to the visibility detector, the communication unit is used for transmitting data of the visibility detector, the visibility detector comprises a light emitter, a light receiver and a microprocessor controller, the light emitter can emit infrared pulse light, the light receiver can detect the intensity of the forward scattered pulse light of aerosol particles in the atmosphere, and the measurement information received by the light receiver is collected by the microprocessor controller and converted into a meteorological optical visual range and finally converted into a visibility value to be displayed;
the communication system is used for transmitting data acquired by the fog region information acquisition unit to the platform management system, the communication system is built in a LORA module networking operation mode, the LORA module has the advantages of long transmission distance and low power consumption, multi-signal demodulation can be realized on the same channel, visibility meteorological information of multiple points along the line can be continuously obtained, and the visibility meteorological information is transmitted to the platform management system;
the platform management system can calculate and process the collected visibility data in real time and visually display the visibility data on a map interface, so that a user can conveniently observe the visibility data, and when the crowd fog threatens the safe driving of the driver and the passenger, the platform management system can trigger an alarm and push alarm information to an information issuing unit in time;
the information issuing unit is mainly coordinated with the platform management system together, so that real-time monitoring of the mist and information issuing, decision making and control are realized.
2. The chain type visibility monitoring and early warning system for the fine road fog areas as claimed in claim 1, wherein the visibility detector adopts a front scattering principle to measure forward scattering light less than 90 degrees emitted by suspended particles and precipitation particles in the sampling area so as to realize information collection.
3. The chain visibility monitoring and warning system for the fine road fog area as claimed in claim 1, wherein the sampling area of the visibility detector is determined by the intersection of the transmitting light path of the light emitter and the receiving light path of the light receiver.
4. The chain type visibility monitoring and early warning system for the fine road fog area as claimed in claim 1, wherein the microprocessor controller is capable of monitoring the current aerosol scattering coefficient, the number of precipitation particles, the particle size and the falling speed information in the visibility detector sampling area and analyzing the visibility value and the size of rain and snow in the current sampling area.
5. The chain visibility monitoring and early warning system for the fine road fog areas as claimed in claim 1, wherein the specific working process is as follows:
s1, firstly, establishing a rectangular coordinate system, wherein an X axis is pile number position information of the visibility monitoring station, a visibility value measured by the X axis position is a Y axis coordinate, and other pile numbers are compiled according to the same method, so that the visibility value of each monitoring station is unique in the rectangular coordinate system;
s2, solving a fitting curve according to a polynomial interpolation algorithm:
interpolation is to interpolate the function value of the point according to the function table given by the interpolated function, and the value of p (x) is used as the approximate value of f (x), which can be understood as: knowing that there are n +1 different points on the plane, an nth order polynomial curve p (x) is soughti) Infinite approximation f (x)i) These points;
according to the polynomial interpolation method, a group of proper basis functions needs to be found among nth-order polynomials,
Figure FDA0002730091530000021
make it
Figure FDA0002730091530000022
Setting the basis function to l by Lagrange interpolationk(xj) The basis functions need to satisfy the condition:
Figure FDA0002730091530000023
solving an interpolation basis function to make:
lk(x)=A(x-x0)...(x-xn)
is prepared fromk(xk) 1, obtaining:
Figure FDA0002730091530000024
the basis functions were found to be:
Figure FDA0002730091530000025
then, a polynomial interpolation equation is obtained as:
Figure FDA0002730091530000026
wherein the content of the first and second substances,
Figure FDA0002730091530000031
let r (x) be f (x) -l (x) be a truncation error, so it is only necessary to ensure that | r (x) | is minimum;
s3, measuring the visibility data (x)i,yi) i is 0,1, n is substituted into the fitted curve, the minimum value of the curve is calculated through a polynomial derivation rule, and the minimum value is calculatedThe value y is the minimum visibility value of the detection area, namely the central position of the foggy area;
s4, the platform management system can intuitively distinguish visibility conditions in different areas through colors according to the measured and calculated visibility values;
the colors for different visibility values are designed as follows:
200m < visibility <500m yellow
50m < visibility <200m orange
Visibility <50m red
Therefore, the distribution area of the mist can be visually observed through colors;
s5, uploading the visibility data every one minute, that is, calculating the central area of the mist every one minute, comparing the current coordinate position with the coordinate position before one minute, and calculating the moving direction of the mist according to the following formula:
Figure FDA0002730091530000032
the moving speed of the cluster fog can be calculated;
s6, the platform management system sends the related early warning information to the information release unit, and the sound, light and electricity modes are utilized to remind most drivers and passengers to pay attention to driving through an LED screen, broadcasting and traffic control measures, so that accidents are reduced.
6. The chain type visibility monitoring and warning system for the fog region of fine roads as claimed in claim 5, wherein in step S3, the coordinate value of the X axis is calculated every 50 meters, that is, the coordinate value of the X axis is (X) in order to improve the calculation accuracy of the center position of the fog regioni,xi+50,xi+100,xi+150...)。
CN202011115640.9A 2020-10-19 2020-10-19 Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous Pending CN112258853A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011115640.9A CN112258853A (en) 2020-10-19 2020-10-19 Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011115640.9A CN112258853A (en) 2020-10-19 2020-10-19 Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous

Publications (1)

Publication Number Publication Date
CN112258853A true CN112258853A (en) 2021-01-22

Family

ID=74245302

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011115640.9A Pending CN112258853A (en) 2020-10-19 2020-10-19 Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous

Country Status (1)

Country Link
CN (1) CN112258853A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114397661A (en) * 2022-01-22 2022-04-26 象谱信息产业有限公司 Group fog observation control system based on Internet of things
CN117275250A (en) * 2023-09-20 2023-12-22 南京鑫荣汇信息科技有限公司 Early warning device and method for induction of expressway fog area

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010117335A (en) * 2008-11-14 2010-05-27 Nexco-Engineering Hokkaido Co Ltd Visibility determination system using image recorded by camera
CN103150907A (en) * 2013-02-06 2013-06-12 郭忠印 Highway operation safety-based mobile monitoring and early warning system and method
CN103500440A (en) * 2013-09-27 2014-01-08 中国人民解放军空军工程大学 Method for eliminating cloud and haze of atmospheric degraded image
CN104573363A (en) * 2015-01-05 2015-04-29 南方电网科学研究院有限责任公司 Spatial valuing method of design air speed of overhead transmission line of coastal region
CN104794903A (en) * 2014-06-11 2015-07-22 合肥星服信息科技有限责任公司 Highway visibility optimization algorithm based on along-the-line interpolation principle
CN105527251A (en) * 2014-10-22 2016-04-27 姜海梅 Highway visibility monitoring and early warning system based on cloud computing platform
CN106251368A (en) * 2016-06-12 2016-12-21 中国科学院遥感与数字地球研究所 SAR image based on BEMD and the fusion method of multispectral image
CN106404720A (en) * 2016-08-24 2017-02-15 中国气象科学研究院 Visibility observation method
CN110162582A (en) * 2018-04-13 2019-08-23 山东百世通大数据科技有限公司 Expressway weather observation station intelligence site selection system and application method under complicated landform
CN110188586A (en) * 2018-04-13 2019-08-30 山东百世通大数据科技有限公司 System and application method based on meteorological observation, road camera shooting visibility identification
CN110258375A (en) * 2018-03-12 2019-09-20 中移物联网有限公司 A kind of traffic guidance method, system and computer readable storage medium
CN110310501A (en) * 2019-06-26 2019-10-08 南京信息工程大学 A kind of expressway for motor vehicle group mist monitoring and prediction method
CN110989041A (en) * 2019-12-10 2020-04-10 中国科学院遥感与数字地球研究所 Method and system for forecasting dust-haze and sand-dust weather
CN111090106A (en) * 2019-12-25 2020-05-01 航天新气象科技有限公司 Atmospheric visibility measuring system, method and device
CN210626692U (en) * 2019-11-04 2020-05-26 苏州斯威高科信息技术有限公司 Meteorological detection device is synthesized on highway
CN111443019A (en) * 2020-05-10 2020-07-24 安徽建筑大学 Group mist detection device and group mist movement direction determination method

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010117335A (en) * 2008-11-14 2010-05-27 Nexco-Engineering Hokkaido Co Ltd Visibility determination system using image recorded by camera
CN103150907A (en) * 2013-02-06 2013-06-12 郭忠印 Highway operation safety-based mobile monitoring and early warning system and method
CN103500440A (en) * 2013-09-27 2014-01-08 中国人民解放军空军工程大学 Method for eliminating cloud and haze of atmospheric degraded image
CN104794903A (en) * 2014-06-11 2015-07-22 合肥星服信息科技有限责任公司 Highway visibility optimization algorithm based on along-the-line interpolation principle
CN105527251A (en) * 2014-10-22 2016-04-27 姜海梅 Highway visibility monitoring and early warning system based on cloud computing platform
CN104573363A (en) * 2015-01-05 2015-04-29 南方电网科学研究院有限责任公司 Spatial valuing method of design air speed of overhead transmission line of coastal region
CN106251368A (en) * 2016-06-12 2016-12-21 中国科学院遥感与数字地球研究所 SAR image based on BEMD and the fusion method of multispectral image
CN106404720A (en) * 2016-08-24 2017-02-15 中国气象科学研究院 Visibility observation method
CN110258375A (en) * 2018-03-12 2019-09-20 中移物联网有限公司 A kind of traffic guidance method, system and computer readable storage medium
CN110162582A (en) * 2018-04-13 2019-08-23 山东百世通大数据科技有限公司 Expressway weather observation station intelligence site selection system and application method under complicated landform
CN110188586A (en) * 2018-04-13 2019-08-30 山东百世通大数据科技有限公司 System and application method based on meteorological observation, road camera shooting visibility identification
CN110310501A (en) * 2019-06-26 2019-10-08 南京信息工程大学 A kind of expressway for motor vehicle group mist monitoring and prediction method
CN210626692U (en) * 2019-11-04 2020-05-26 苏州斯威高科信息技术有限公司 Meteorological detection device is synthesized on highway
CN110989041A (en) * 2019-12-10 2020-04-10 中国科学院遥感与数字地球研究所 Method and system for forecasting dust-haze and sand-dust weather
CN111090106A (en) * 2019-12-25 2020-05-01 航天新气象科技有限公司 Atmospheric visibility measuring system, method and device
CN111443019A (en) * 2020-05-10 2020-07-24 安徽建筑大学 Group mist detection device and group mist movement direction determination method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114397661A (en) * 2022-01-22 2022-04-26 象谱信息产业有限公司 Group fog observation control system based on Internet of things
CN117275250A (en) * 2023-09-20 2023-12-22 南京鑫荣汇信息科技有限公司 Early warning device and method for induction of expressway fog area

Similar Documents

Publication Publication Date Title
CN112837535B (en) Traffic information processing method, device, system, equipment and storage medium
CN107742432B (en) Expressway operation speed active early warning system based on vehicle-road cooperation and control method
CN109377726B (en) Expressway agglomerate fog accurate warning and inducing system and method based on Internet of vehicles
CN103810904B (en) Based on the method for early warning of the express way driving safety early warning system of VANET
CN110549941B (en) Pedestrian collision graded early warning method based on real-time information
CN111223302B (en) External coordinate real-time three-dimensional road condition auxiliary device for mobile carrier and system
CN207517194U (en) Highway operating speed active forewarning system based on bus or train route collaboration
KR102037592B1 (en) Speed control system and method thereof in weather condition of road
CN109816811A (en) A kind of nature driving data acquisition device
CN102592457A (en) Compound type interval velocity-measuring system based on internet of things technology and method thereof
CN112305641B (en) Expressway traffic safety meteorological internet of things monitoring and early warning system
CN102231231A (en) Area road network traffic safety situation early warning system and method thereof
CN112071117A (en) Highway traffic safety early warning system and method based on vehicle-road cooperation
CN109727471A (en) Intelligent monitor system under a kind of bad weather condition based on technology of Internet of things
CN112258853A (en) Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous
CN113147733B (en) Intelligent speed limiting system and method for automobile in rain, fog and sand dust weather
CN105405309A (en) Expressway construction work zone vehicle speed control hierarchical early warning system
CN216110866U (en) Tunnel vehicle accident detection and early warning device based on RSSI
CN108538070A (en) A kind of road conditions method for early warning and device
CN103257247A (en) Automobile overspeed alarm system based on visibility meter
CN106383347A (en) Vehicle driving early warning device in fog
CN107146432A (en) A kind of expressway fog zone variable speed-limit device and method
CN109559505A (en) A kind of portable highway control vehicle driving safety integrated management system
CN113888850B (en) Sand-dust meteorological municipal road congestion situation multi-factor early warning method
CN109637142A (en) A kind of monitoring road conditions device based on big data

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210122