CN109587901B - Intelligent control system and method for illumination - Google Patents
Intelligent control system and method for illumination Download PDFInfo
- Publication number
- CN109587901B CN109587901B CN201811338083.XA CN201811338083A CN109587901B CN 109587901 B CN109587901 B CN 109587901B CN 201811338083 A CN201811338083 A CN 201811338083A CN 109587901 B CN109587901 B CN 109587901B
- Authority
- CN
- China
- Prior art keywords
- illumination
- visibility
- subsystem
- information
- control
- 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.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Landscapes
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention relates to an intelligent regulation and control system and method for kinds of lighting, wherein the system comprises a visibility marker, a phase acquisition device and subsystems, wherein the visibility marker comprises a visibility detection, illumination detection, regulation and control module, an information issuing and lighting control driver and selective traffic flow pedestrian volume detection, the visibility marker is subjected to phase acquisition in advance under a standard visibility condition, series standard images are acquired, a visibility image algorithm is established according to the standard visibility images, the marker is subjected to real-time image acquisition in the running process of the system to acquire visibility values, information I is sent to a regulation and control subsystem in a timing mode, an illumination sensor subsystem collects illumination information in real time and sends information II to the regulation and control subsystem in a timing mode according to a road condition preset illumination threshold value, the traffic flow pedestrian volume sensing subsystem is selectively used to send information III, the regulation and control subsystem regulates and control lighting power according to the information I-III in a preset judgment mode, and a roadside warning electronic screen is started to display speed limit or for.
Description
Technical Field
The invention belongs to the field of intelligent municipal administration, and relates to an intelligent illumination control system.
Background
The background of the invention is based on the following three points:
1. lighting power accounts for considerable proportions of human power, second only to industrial power;
2. the visibility is not constant in environments with high illumination and lighting illumination;
3. at present, the intellectualization of illumination control is still starting, and a great improvement space is provided.
The lighting power consumption accounts for considerable rates in human power consumption, and even though the energy-saving LED lighting is gradually and fully changed, the demand rate of the lighting power consumption still remains high along with the increase of economic activities of people, so that -step adjustment of lighting strategies is necessary to reduce energy consumption.
In environments with high illumination and illumination intensity, the visibility is not always constant, and environmental factors such as fog, haze and moisture are involved, so that people often encounter the surrounding area and see the vision in a lost area, which is more likely to be encountered in the evening, early morning and night.
At present, the intelligent lighting control is still starting, and the proposed intelligent lighting control can be roughly as follows: latitude and longitude settings (i.e., sunrise and sunset time), daylighting settings, traffic flow and stream settings, and the like; but there is still room for improvement in the intellectualization of visible lighting without solving the visibility problem.
The most common lighting control in decades is not only illuminance control and time control, the former is the starting of a power switch by a sensor made of a photoelectric semiconductor when the light intensity and the light current are lower than threshold values at the earliest time, but also the former appears on the switch of a garden lamp in the past 80 s.
At present, in open-air public road lighting field, the on-off control mode to the lamp is simple easy, usually for turning on the lamp or turning off the lamp at fixed time point, but because the irregular change of weather, the traditional mode control mode of this kind of lamp can not satisfy actual demand. For example, on a cloudy day, the day is dark, but the lighting device is still turned on at a later time point, so that the lighting requirements of actual conditions cannot be met, and intelligent control of the illumination intensity of the lamp light is embodied in a similar situation; the method comprises the step of carrying out matching control according to factors such as real-time weather conditions, natural environment illumination, traffic flow, pedestrian flow and the like.
Further , the intelligent control scheme for such lighting is partially published in literature, patents, etc., and after review, it is found that the following two aspects are mainly focused on:
(1) the luminous flux of the lighting device is controlled according to the natural illumination intensity. The focus is on quantitative detection of light flux based on the deployed light intensity sensor and the detected feedback data. In the prior art, a system which uses the illumination intensity sensor and the visibility sensor at the same time is not searched; if the situation is not accurately judged only by regulating and controlling based on the illumination intensity, but the visibility is a direct judgment factor for the driving of the motor vehicle and pedestrians, for example, the illumination intensity is better in foggy weather, and the visibility is actually poor.
(2) And controlling the luminous flux of the road lighting device according to the real-time traffic flow. The method is characterized in that the electromagnetic signal and the image are analyzed and judged by utilizing an electromagnetic signal detection or image acquisition mode of a phase taking device, so that the illumination of the road lighting device is controlled.
At present, lighting intelligent control schemes which simultaneously apply visibility information, illumination information and traffic flow monitoring information are urgently needed to make up for the loopholes in the prior art.
difficulties in visibility detection are encountered by visibility control, and most preferably, an optical visibility meter is used for detection, but such a precise infrared optical detection instrument is generally installed on a weather station and cannot be installed in various illumination places .
Disclosure of Invention
In view of this, the present invention provides an intelligent regulation and control system and method for kinds of lighting, which employs simplified visibility detection subsystems with low cost and strong applicability, combines an illumination subsystem and a traffic flow and pedestrian flow sensor to obtain information, and makes a control strategy to regulate and control the light flow of a lighting fixture, i.e. the illumination intensity of a road surface in real time.
To achieve the above objects, the present invention provides the following technical solution and method, wherein the intelligent control system comprises the following subsystems: (1) the system comprises a visibility detection subsystem, (2) an illumination detection subsystem, (3) a regulation and control subsystem, (4) an illumination control driving subsystem, (5) a communication module and an information issuing subsystem, and (6) a flow object monitoring subsystem which is selectively arranged;
(1) visibility detection subsystem
The visibility detection subsystem includes: a visibility marker obliquely arranged on a light cone below the lighting lamp, and a phase taking device, embedded image analysis software and a storage device which are arranged in a distance of 0.5 to 50 meters opposite to the visibility marker;
the phase taking device comprises a camera and a camera;
the system comprises an embedded image analysis software system and an embedded software system, wherein the embedded image analysis software system is used for capturing images of visibility markers under specific imaging conditions in advance under specific visibility and illumination conditions, establishing series standard images, establishing a visibility image analysis mode and the embedded software suitable for a field visibility photographic algorithm, and obtaining visibility values, namely information I, through the embedded software analysis and calculation after real-time phase taking is carried out on the markers in an actual application scene.
The method comprises the steps of acquiring images of markers under specific visibility conditions in advance, establishing series standard images, adjusting illumination and visibility respectively in a commercial smoke chamber with adjustable illumination, confirming the illumination by an illumination sensor, confirming the visibility by an optical visibility meter, respectively installing the image acquisition device and the visibility markers at two ends of the smoke chamber according to the image acquisition device, acquiring images in various scenes to obtain series standard images, establishing a visibility image analysis model, an algorithm and embedded computing software for calculating and analyzing the visibility markers after image acquisition on site to obtain visibility values, and acquiring images of the markers and feeding back the correction model and the algorithm to serve as a standard calibration flow under the environment that urban roads are in a foggy condition and the visibility is confirmed by the optical visibility meter by the established image analysis model and the image comparison algorithm.
The image analysis model incorporates shooting parameters, modified and improved methods including but not limited to statistical image modeling, Markov random field model, and domain hidden Markov model.
The shooting conditions include the resolution, focal length, aperture, camera CMOS pixels, lens object distance, etc. of the lens, and the real-time imaging conditions can be classified into comparable conditions by the computing software.
(2) Illumination detection subsystem
The illumination detection subsystem comprises an illumination meter and an illumination threshold device; the illuminance meter is used for measuring the ambient illumination intensity of the lighting device, and compares the ambient illumination intensity with an illuminance threshold set according to the road condition to obtain an illuminance threshold difference, which is information II.
(3) Flow object monitoring subsystem
The flow object monitoring subsystem comprises a vehicle flow sensor and a people flow sensor; the traffic flow sensor is arranged on an important road section, the people flow sensor is arranged on an important sidewalk, and the obtained information is integrated into information III;
the traffic flow sensor comprises , including but not limited to magnetic sensor, infrared sensor, radar instrument, laser radar instrument, and camera analysis device;
the pedestrian flow sensors include, but are not limited to, ultrasonic sensors, camera analysis, infrared sensors;
this so-called selectivity is not a technical consideration but is based on the reason of installation cost, and is only installed on the important road section to save cost.
(4) Regulation subsystem
The regulation and control subsystem is closed-loop logic analysis selectors, which set regulation and control modes and thresholds according to information I, information II and information III, so that a system manager can automatically select the modes and the thresholds according to actual needs, send a lighting power regulation and control instruction to a lighting control driving subsystem of the lighting device, perform dimming according to the power regulation and control instruction, perform logic analysis by taking new information I, information II and information III as input after dimming, judge the visibility condition after dimming, if the visibility is improved, continuously send the lighting power regulation and control instruction to perform dimming according to the regulation and control direction and fixed step length, otherwise perform regulation and control according to opposite directions and steps, which are continuously iterative closed-loop regulation and control, and finally regulate to a standard set value to keep balance, and if loses balance, generate a regulation and control point trying to recover to a regulation and control standard value, and the high limit is limited by the highest output power of the lamp power supply.
(5) Lighting control driver subsystem
The controller is used for adjusting the lighting power according to the instruction of the regulation subsystem, and at least comprises an MCU main control unit, a communication module, a PWM output module, an LED driving power supply and the like; the communication module receives the dimming instruction, the dimming instruction is analyzed and processed by the MCU, then the PWM output module is controlled to output a modulation signal to the LED driving power supply, the output current of the LED driving power supply is adjusted, and finally the purpose of adjusting the luminous flux of the LED lighting equipment is achieved.
(6) Communication module and information publishing subsystem
The communication module and the information issuing subsystem start the roadside electronic warning billboard to display speed limit or forbidden signal when the fog condition is judged and the visibility is low to the threshold value of speed limit or forbidden, because the electronic warning billboard is usually located at the far front of the lighting system, the electronic warning billboard needs to be started by the instruction issued by the communication module, the communication module can be selected from, but not limited to , the modes of power line carrier communication (PLC), wired communication for an electronic controller such as RS485, Zigbee for narrow-band communication, Lora, NB-IoT, GPRS for wireless communication, 3G, 4G, 5G and the like.
, which is an important innovation of the present invention, is a visibility marker, which includes, but is not limited to, sets of (1) a pattern with gradation, (2) a pattern of stripes with different sizes and the same gradation, and (3) a pattern of symbols with openings, as described below:
1) the gray level gradation gradient pattern is a geometric pattern printed on a proper substrate and having 4-10 gray level gradations, wherein the width of a specific gray level is values selected from 10-64 mm, the length of the specific gray level is values selected from 100-500 mm, and no gap or a distance between two adjacent gray level patterns is 1-20 mm;
2) the arrangement of the strip patterns with different sizes and the same gray scale is that 4 to 10 strip patterns are printed on a proper substrate, the sizes are orderly and gradually changed, the widths are changed between 10 and 64mm, the lengths are the same and are selected from values between 100 and 500mm, and no gap or the interval between two adjacent gray scale patterns is 1mm to 20 mm;
3) the symbols with openings include, but are not limited to symbols from "E", "H", "F", "C", "mountain" and "Chuan", which are printed on a suitable substrate and arranged in a large and small array, wherein the size of the symbols is between 100 and 500mm, the thickness of the lines of the symbols is between 4 and 64mm, and the distance between two adjacent symbol markers is between 50 and 500 mm.
Suitable substrates are metal substrates or transparent substrates, including but not limited to: stainless steel, copper alloy, aluminum alloy, glass, acryl, polycarbonate, and polyethylene.
, using the visibility detecting subsystem to obtain signal I as the auxiliary control signal, the illumination detecting subsystem to obtain signal II as the main control signal, the flow object monitoring subsystem to obtain signal III as the auxiliary signal, inputting the signals I-III into the regulating subsystem, and the system manager selecting the mode to regulate the power of the lighting control driving subsystem of the lighting device, and adjusting the power according to the signals I-III in a most energy-saving way to achieve the optimization of the luminous flux and visibility.
Step , setting the illumination threshold AiVisibility threshold value BiAnd the positive integer serial number i is a reference value set by the system, and a system administrator selects a proper threshold value to regulate and control according to the requirement:
when the ambient illumination is greater than A1Lux, visibility greater than B1The regulation and control subsystem turns off the illumination of the illumination device;
when the ambient illumination is reduced to A2Lux, reduced visibility to B2km, starting a lighting switch by the regulation and control subsystem, and regulating the power of the electronic circuit according to the illumination requirement set by a system operator to regulate the luminous flux of the lighting lamp;
visibility is reduced to B3And km, namely the foggy weather condition, the communication module sends an instruction to the information issuing subsystem, starts warning information, carries out danger prompt by virtue of the issuing platform, and carries out speed limit or stop prompt according to visibility.
And , the signal III is an auxiliary signal, and the control mode is as follows:
for the scene provided with the traffic flow sensor, when the natural illumination intensity and the visibility are detected to be insufficient, the control subsystem maintains fractions of the minimum illumination value according to the setting of a system operator under the condition of no traffic flow, when the vehicle comes, the illumination intensity at the position more than 50m in the front of the vehicle is gradually increased to the standard driving illumination intensity in advance, after the vehicle passes through, fractions of the minimum illumination are set, and the fractions of the minimum illumination are between 100% and 0%, and can be self-determined by the system operator.
For scenes provided with a pedestrian flow sensor, when the natural illumination intensity and insufficient visibility are detected and no pedestrian flow condition exists, a regulation and control subsystem maintains fractions of the minimum illumination value according to the setting of a system operator, the illumination intensity of the positions more than 20m in front of people is gradually increased to the standard pedestrian scene illumination intensity in advance when people come, fractions for gradually recovering the minimum illumination intensity are set after the pedestrians pass, and the fractions of the minimum illumination intensity are between 100% and 0% and can be self-determined by the system operator.
For the comprehensive scenes of the traffic flow and the people flow detection, the traffic flow and the people flow information are used as comprehensive information contrast degrees to be adjusted, and specific ratio values are set in the regulation subsystem, wherein the induction subsystem is selected by a system operator to improve the illumination intensity to reach the minimum value of the road illumination standard or more, 100% -120% of the minimum value according to the traffic flow value and the people flow value.
And , the second stage of the regulation and control subsystem regulating and controlling the illumination of the illumination device according to the information I and the information II is specifically:
(1) the variance processing of the same empty point locus is carried out on the pixel color numbers of the standard image and the real-time image, namely difference values are carried out corresponding to the same locus, the mean square value of the difference values of all pixels of the whole image is obtained, the method is called as an independent sample pixel variance method, the value is used as a basis for judging the difference of the two images and is also a basis for adjustment, and or more standard images are set by the method;
(2) the method can analyze the definition of the whole picture to judge the environment visibility state and take the reference standard state as the regulation and control basis;
(3) obtaining the frequency spectrums of the standard image and the real-time image through image transformation algorithms such as Fourier transformation, Lesh-Hadamard transformation, discrete Karner-Lewy transformation, cosine transformation, sine transformation, haar transformation and oblique transformation, and calculating the variance of the standard image and the real-time image to quantitatively represent the difference between the standard image and the real-time image as the basis of adjustment.
According to the method, the input information of the subsystem is analyzed, a control strategy is calculated, and the subsystem is driven and controlled to adjust the illumination power;
, the phase taking device images the marker to form pixel array in various visibility environments, and simultaneously, a visibility analyzer is adopted to detect visibility values at the same position and at the same time, the variance result and the visibility values are correspondingly stored by , and the corresponding relation between the variance and the visibility is checked;
the regulation and control subsystem comprises a light illumination regulator and a memory; when the information I and the information II reach the regulation subsystem, the regulation subsystem analyzes according to the obtained information, determines whether to regulate the illumination, and stores the regulated information in a memory;
the illumination threshold value AiVisibility threshold value BiAnd i is a positive integer serial number and is an series reference value set by the system, and a system administrator selects a proper threshold value regulation and control mode according to needs:
when the ambient illumination is greater than A1Lux, visibility greater than B1km, the lighting of the lighting device is turned off by the control subsystem, and fractions, such as 80-20%, of the lowest lighting level can be maintained at night, which is determined by the system operator, wherein A1Can be set values of 40,50,60, series, B1Can be set values of series such as 0.5, 1.0, 1.5, etc.;
when the ambient illumination is reduced to A2Lux, reduced visibility to B2km, the control subsystem starts the lighting switch, and fractions, such as 80-20%, of the lowest illumination can be maintained at night, wherein A is self-determined by a system operator2Can be set values of series such as 60,50,40, etc.; B2Can be 0.5,0.4,0.3, etc. series settable values;
the system operator sets the illumination requirement to adjust the power of the electronic circuit so as to adjust the luminous flux of the lighting lamp; wherein A is1May be 40,50,60, etc. series settable values B1Can be set values of series such as 0.5, 1.0, 1.5, etc.;
visibility is reduced to B3km, namely the foggy weather, for example values between 0.1km and 0.05km, according to the local road regulation, the communication module sends an instruction to the information issuing subsystem to start the warning information, which comprises issuing platform danger prompt and limiting speed or stopping according to visibility, and the like, and the regulation and control subsystem starts regulation according to the judgment of comprehensive illumination information and visibility information:
the setting of the system for the above critical values can be adjusted for different road states and lighting device installation states;
for the lighting scenes of the lighting device applied to pedestrians, including parks and private parks, the starting adjustment of the adjusting subsystem is set according to the actual application scene.
And , if the picture obtained by the camera device has a wider visual field, only capturing the image of the area where the marker is located in the picture, and analyzing the image, wherein the visibility detection subsystem and the illuminance detection subsystem are assembled in a loop control box of a columnar supporting body of the lighting device, and the columnar supporting body and the loop control box are connected in a loop-span fastening manner.
The invention has the beneficial effects that:
1. the invention overcomes the defect that situation judgment is inaccurate by adopting a system for regulating and controlling only illumination or illumination and weather conditions (sunrise and sunset), introduces which is an important judgment basis for visibility, and provides reliable illumination for motor vehicle drivers and pedestrians.
2. The invention discloses low-cost visibility judgment systems, which are based on visibility markers, image capture and graphic analysis, can be arranged on various lighting devices in a -based mode, and are high in cost-benefit for intelligent lighting regulation and control.
3. And adjusting the illumination of the illumination device by taking the real-time traffic flow and the pedestrian flow as auxiliary monitoring means.
4. The invention also has the advantages of being installed widely in the area where the cluster fog is easy to appear, such as some mountainous areas, , not being , only performing intelligent regulation and control of illumination, being used as a low-cost device for cluster fog detection and warning issue, being economical and practical, and having high social value.
Drawings
In order to make the object, technical scheme and beneficial effect of the invention more clear, the invention provides the following drawings for explanation:
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of the control of the system at stage based on information I-III;
FIG. 3 is a schematic diagram of a second stage of regulation of the system based on visibility;
FIG. 4 is a schematic view of a marker mounted on a carrier;
FIG. 5 is a schematic view of the situation in which the marker and the phase taking device are mounted on the same cylindrical carrier;
FIG. 6 is a schematic view of the situation where the marker and the phase taking device are mounted on different columnar carriers and the columnar carriers are on the same side of the road;
FIG. 7 is a schematic view of printing a gray scale gradient marker on a suitable substrate;
FIG. 8 is a schematic view of a combination gray scale gradient marker and size difference marker printed on a suitable substrate;
FIG. 9 is a diagram of an image processing method, a principle of the independent sample pixel variance method;
FIG. 10 is a schematic diagram of the neighboring pixel variance method of the image processing method.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the intelligent illumination control system includes a visibility detection subsystem, an illumination detection subsystem, a regulation subsystem, a marker and communication module, a flow sensing subsystem, an information distribution subsystem, and an illumination control driving subsystem.
The visibility detection subsystem comprises a storage device and an analysis device, converts image analysis information into visibility regulation and control basis information, and sends information I to the regulation and control subsystem according to fixed frequency;
the illumination detection subsystem comprises an illumination instrument and an illumination threshold device, wherein the illumination instrument is used for measuring the natural illumination intensity, the illumination threshold device is used for collecting illumination information and setting an illumination threshold value for data comparison, and the illumination threshold device sends information II to the regulation and control subsystem according to fixed frequency;
the flow sensing subsystem acquires traffic flow/people flow data through the sensing device and sends information III to the regulation and control subsystem according to fixed frequency.
The regulation and control subsystem comprehensively analyzes the information I, the information II and the optional information III according to a built-in algorithm, determines whether to start regulation and control and how to regulate, feeds back a regulation and control instruction to the lighting device control driver, and sends out response warning information to the information issuing subsystem through the communication module if necessary.
Under different visibility environments, a visibility analyzer is adopted to detect visibility values at the same position and at the same time, the result values and information I of a visibility detection subsystem are stored correspondingly, and the quantitative corresponding relation between the information I and the visibility is checked;
the basis for the regulation subsystem to determine whether to initiate regulation is shown in fig. 2, for example, as shown in table 1, where only a simple scenario in which information I and information II are selected as input parameters is provided for example only.
Table 1 example of light adjustment conditions
| Detecting illuminance | Visibility | Weather conditions | Responsive to the result |
| 100Lux | Greater than 10km | Good natural illumination | Turning off the lighting device |
| 0～ |
1～10km | Poor natural illumination | Turning on lighting devices |
| 30～50Lux | 0～0.5km | In fog weather | Issue warning information |
The system is provided with definite differences for the above critical values such as unidirectional 1 lane, bidirectional 2 lane one-sided arrangement, bidirectional 4 lane two-sided arrangement, bidirectional 6 lane two-sided arrangement, bidirectional 8 lane two-sided arrangement, bidirectional 2 lane transverse suspension cable arrangement, bidirectional 4 lane transverse suspension cable arrangement, pedestrian road arrangement, etc. for different road conditions and lighting installation conditions.
For lighting scenes of the lighting device applied to pedestrians, such as parks, private parks and the like, starting adjustment parameters of the adjustment subsystem are set according to actual application scenes.
As shown in fig. 3, a schematic diagram of a system regulation principle based on visibility is shown. The phase taking device performs marker phase taking under the condition of lowest standard visibility to obtain a standard image; subsequently, taking a real-time phase of the same marker under the same photographing setting in an application actual scene, quantitatively comparing the real-time obtained image with a standard image by an analysis device through an image variance analysis algorithm, and stopping regulation when a regulation finishing condition is met, namely a threshold value is reached or a regulation limit is reached; otherwise, carrying out circulation regulation.
The visibility detection subsystem and the illumination detection subsystem are assembled in a loop control box of the columnar supporting body of the lighting device; the columnar bearing body is connected with the loop control box in a mode of annular span fastening;
if the obtained picture has a wider visual field, only capturing the image of the area where the marker is located in the picture, and carrying out image analysis; the interception method comprises the steps of manual intervention marking and automatic marking by adopting elements in the image; image analysis uses only the imaged area of the marker object, while excluding other background images, which can result in large variance in the image variance process because background images such as plants, buildings, traffic, etc. are subject to variation. For the rod-shaped markers, the background among the intervals of the markers also needs to be removed, and in this case, a separate screenshot in the picture is adopted, and only the picture area of each rod is cut.
The visibility marker is arranged in a light cone 2-4 meters below the lighting lamp by a bracket cantilever, the surface of the visibility marker is inclined at 30-60 degrees with the lamp to receive and reflect light so as to facilitate night image taking, an image taking device is arranged opposite to the visibility marker, and a lens is aligned with the visibility marker as shown in figure 4, the mounting modes of the visibility marker and the image taking device adopt the following :
(1) the visibility marker and the image capturing device are simultaneously arranged on the same lamp carrier at a distance of 0.5-2 m, as shown in figure 5; for the situation of being installed on the same columnar supporting body, the distance between the photographing device and the marker is close, so that the marker should be reduced in equal proportion, and the reduction range is 20% -60%.
(2) The visibility marker and the image capturing device are respectively arranged on different adjacent lamp carrying bodies which are separated by 5-50 meters, and the different lamp carrying bodies can be selected on the same side or different sides of a road according to the terrain and the plant shielding condition, as shown in figure 6.
The distance between the marker and the ground is more than or equal to 2 m; the distance between the marker and the phase taking device is 0.5-50 m;
the markers are a plurality of rod-shaped markers which are sequentially and parallelly arranged from small to large in diameter, and the central line direction of the rods is vertical to the columnar supporting body and is connected with the columnar supporting body;
the markers are markers printed on a suitable substrate (e.g., a thin metal plate or a transparent substrate);
the markers are rectangular markers with the same gray level, the number of the markers is 4-10, and the number of the markers is LiThe system has a length of 100-500 mm and a width W of its owniThe distribution range is 4-64 mm, and the distance G between two adjacent rectangular markersiIs 50-500 mm, and the rectangular central line is parallel to the axis of the columnar bearing body. The marker is printed on a flexible metal plate, and the metal plate is tightly hooped on the surface of the columnar carrier. The width of each rectangular marker is different and gradually changes along the height direction.
The markers are rectangular blocks which are respectively separated and have a gradual change trend of gray scale in the extending direction, the size of each marker is , however, the gray scale is increased or decreased along the height increasing direction, the increase is taken as an illustration in the figure, the pictures of the markers obtained by taking pictures under different degrees of visibility have obvious difference on the display result, and more obvious variance value can be obtained in the pixel variance processing of the pictures.
As shown in fig. 8, a combination of gray level differentiation and feature size differentiation is formed, so as to enhance the richness of the identifier pixel variance identification features under different visibility conditions.
The identifier can be replaced by other identifiers including but not limited to 'C' -type, 'E' -type, 'F' -type and 'H' -type identifiers;
(1) when the marker and the phase taking device are respectively arranged on different columnar bearing bodies, the different columnar bearing bodies are arranged on the same side or different sides of a road, and whether barriers exist between the two columnar bearing bodies on an installation site or not is specifically determined, such as greening plant shading and the like;
(2) when the marker and the phase taking device are arranged on the same columnar carrier, the marker and the phase taking device are separated by fixed distance in the horizontal direction through the bracket cantilever, meanwhile, the distance between the marker and the phase taking device is shortened, and the size of the marker is reduced by 20-60% in an equal proportion compared with the arrangement of different columnar carriers.
The visibility marker has the functions of brightening at night and self-cleaning; night time brightening capabilities are provided by surface coating including, but not limited to, (1) fluorescent materials; (2) a phosphorescent material; the self-cleaning function is to coat the nano self-cleaning coating on the outermost layer.
In the present, a specific parameter is used to image the visibility marker on site, which describes an image analysis method, the comparison standard is the maximum similar image generated by a graph mode algorithm after the image-taking parameter is classified into , and the analysis algorithm of on-site image-taking can be, but is not limited to, the following three types:
(1) method 1, quantitatively expressing the state of single pixels by using the color number of each pixel of different bits for the pixels of a two-dimensional array, performing variance processing on two-dimensional pixels of a standard image and a real-time image at the same empty point position, namely, making difference values corresponding to the same position, and obtaining the mean square value of the difference values of all pixels of the whole image, which is called as an independent sample pixel variance method as shown in FIG. 9, wherein a dotted line grid represents a marker picture area, each squares represents a pixel, the color represented by quantitative data represented by a code, and T0Represents a standard marker picture; t is1Representing the real-time shooting of the marker picture; the pixel variance calculation formula is:
the mean square value is used as a basis for judging the difference of the two images, and information I is output;
the system is divided into two methods according to the method for adjusting the illumination after the information I and the information II are fused:
(a) the method comprises the steps of setting a pixel variance threshold value by using standard images, representing that two images are similar to when the pixel variance of independent samples of the two images is smaller than a fixed value, using a comparison between a real-time pixel variance value of the independent samples and a variance threshold value as a visibility regulation basis, regulating and controlling the luminous flux of a lighting device by a stepping ladder, taking a picture of a phase marker every steps, comparing the standard images, analyzing the image variance value, judging whether the regulation direction is correct or not, namely whether the variance tends to decrease or not, judging whether the variance value of the regulated state is within the threshold value range or not, entering circulation steps below if the variance is not within the variance threshold value range, continuing regulation, ending the regulation of the stage if the variance is within the threshold value range, considering that the regulation is to a target state, if the variance is correct and tends to decrease gradually, regulating to an allowable illumination regulation limit of the lighting device but the variance is still not within the variance threshold value range, ending the regulation under the condition that the regulation is not, if a plurality of circulation steps is regulated, obtaining the variance value with a small variance value, issuing a minimum variance value, issuing a quantitative warning that the variance value is smaller than the minimum variance value, and the communication of a weather haze information of a weather haze is not changed to represent that the minimum haze is a haze information of a haze is different haze, and a haze is a haze-representing a haze-less-than;
(b) in the implementation process, the markers are subjected to real-time phase acquisition, independent sample pixel variances are respectively obtained by the real-time images and the standard images, wherein the minimum variance value corresponds to the most similar value, meanwhile, the visibility parameters of the real-time images are also indirectly obtained, quantitative regulation and control can be carried out according to system setting, and whether the regulated visibility parameters reach the standard is checked times.
(2) The method 2 includes subtracting the average value of the pixel sites around the single pixel sites in the image, then taking the pixel color number average square value of the whole image, called as an adjacent pixel square difference value method, as shown in FIG. 10, the method can analyze the definition of the whole image to judge the environment visibility state, the larger the average square value is, the higher the visibility is, the smaller the average square value is, the lower the visibility is, in the operation process, firstly, obtaining the phase standard marker under the lowest lighting requirement in the municipal related application scene through tests to obtain the adjacent pixel square difference value, and regulating the adjacent pixel square difference valueIs a standard threshold, the dotted grid represents the marker picture area, each squares represents pixels, the quantitative data represented by the code represents the color, T1Representing a picture taken of the marker in real time, wherein for Ai-1Or Bj-1If i or j is equal to 1, then the character term is zero since A does not exist0Or B0X is the effective number of adjacent pixel sites and is 2-4. For example, the number of corner pixel points is 2, the number of sideline pixel points is 3, and the number of middle pixel points is 4.
The pixel variance calculation formula is:
when the marker is shot in real time, the variance value of the adjacent pixels of the marker is calculated, and the variance value is compared with a standard threshold value to be used as a basis for adjustment, and information I is output;
the lighting adjusting method after fusion of the information I and the information II comprises the steps of increasing luminous flux step by step when a real-time adjacent pixel variance value is smaller than a threshold value, taking a phase marker without step, obtaining a new adjacent pixel variance value through image analysis, comparing the new adjacent pixel variance value with a standard threshold value, increasing the lighting step by step if the real-time adjacent pixel variance value is smaller than the standard threshold value, entering into cycles, stopping regulation and control if the real-time adjacent pixel variance value reaches the standard threshold value, if the real-time adjacent pixel variance value is monotonously close to the threshold value in the adjusting process and is adjusted to an allowable illumination adjusting limit of a lighting device and does not reach the threshold value, ending the adjustment under the condition, if the plurality of cycles are regulated step by step, obtaining an adjacent pixel variance value with small change degree and passing through a maximum variance state, but the maximum variance is smaller than the threshold value, adopting the state of a maximum variance point by the system, and quantitatively judging the fog and dust weather degree through the distance degrees of the maximum variance and the standard variance, and issuing extreme fog and dust weather information to a warning subsystem for warning fog and dust.
(3) The method 3 comprises the steps of processing an image by using two-dimensional discrete Fourier transform by using an image Fourier transform algorithm to obtain a frequency spectrum, wherein the frequency is an index for representing the intensity degree of gray level change in the image and is the gradient of gray level on a plane space, comparing Fourier transform frequency spectrums of a standard image and a real-time image to obtain a variance value of the frequency spectrum, and the variance value represents the difference quantitative description between the images.
The image transformation algorithm also includes, but is not limited to, the following methods: walsh-hadamard transforms, discrete kurner-lewy transforms, cosine transforms, sine transforms, haar transforms, and diagonal transforms.
The system also comprises a flow sensing subsystem arranged on the columnar supporting body and used for carrying out distributed real-time monitoring on the traffic flow/pedestrian flow, and when the system detects that the illumination intensity is insufficient and the visibility is low, the system regulates and controls the light flux by combining traffic flow/pedestrian flow data, namely input information III;
for a traffic flow application scene, when the illumination intensity is insufficient and the visibility is low, when a traffic flow sensor detects that no vehicle passes through sections of branches, a control subsystem keeps the lighting devices from the inlet of the section of branches to the extension section with the length of 100 m-300 m on, keeps the lowest illumination intensity, turns off the lighting devices of the other sections, can maintain fractions of the lowest illumination intensity, such as 80% -20%, and is self-determined by a system operator at night, when the branch is detected to have a coming vehicle, the flow sensing subsystem positions the coming vehicle in real time, starts the lighting devices in front of the coming vehicle with the length of more than 100m (which can be set by the system operator) in advance, and gradually turns off or reduces the lighting device luminous flux with the length of more than 100m (which can be set by the system operator) behind the vehicle after the vehicle passes through .
For the pedestrian flow application scene, when the illumination intensity is insufficient and the visibility is low, when the pedestrian flow sensor detects that no pedestrian passes through sections of branches, the control subsystem turns off the lighting device of the section, namely fractional numbers of the lowest illumination, to be 100% -0%, and the system operator can decide the fractional number, when detecting that the pedestrian passes through the section, the lighting of the section with the distance of more than 20m (which can be set by the system operator) to the pedestrian is turned on, and when the pedestrian passes through the section, the lighting of the section with the distance of more than 20m (which can be set by the system operator) behind the pedestrian is gradually turned off or reduced after time lag.
The regulation subsystem is set with specific ratio values, such as self-set values between 100% and 120%, which can be selected by a system operator to increase the illumination intensity to be above the lowest value of the road illumination standard according to the traffic flow value and the pedestrian flow value.
For the application scenario of simultaneous application to traffic flow and pedestrian flow, will be considered together with the above two regulation modes.
it should be pointed out that the system and method for adjusting and controlling illumination based on visibility disclosed in the present invention is not limited to only adjusting and controlling illumination, and it also has important applications, in that the visibility detection subsystem can be used for visibility detection caused by fog alone, and it is characterized by being installed in a fog area with relatively low cost, such as a mountainous area where fog often occurs, when occasional short-time fog (i.e. fog) is detected, the information issuing system installed on the coming road at a safe distance (e.g. 0.5km to 1.0km) is started by the communication module, and the fog group is distributed to the motor vehicle driver to reduce the speed, limit the vehicle speed, and even stop the driving information every year in front of the fog area according to the fog concentration (visibility data), and the invention has great applicability in this field.
Finally, it is noted that the above-mentioned preferred embodiments illustrate rather than limit the invention, and that, although the invention has been described in detail with reference to the above-mentioned preferred embodiments, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the invention as defined by the appended claims.
Claims (9)
- An intelligent regulation and control system for illuminations is composed of visibility detecting subsystem, illuminance detecting subsystem, regulation and control subsystem, illumination control driver subsystem, communication module, information issuing subsystem, and selective flow object monitoring subsystem;the system captures images of the markers under specific visibility and illumination conditions in advance, acquires series standard images, establishes a visibility image analysis mode and embedded software suitable for a field visibility image algorithm, acquires the images of the markers in real time in an actual application scene, and analyzes and calculates the visibility value which is information I through the embedded software;the illumination detection subsystem comprises an illumination meter and an illumination threshold device; the illumination meter is used for measuring the natural illumination intensity of the position of the lighting device, and the natural illumination intensity is compared with an illumination threshold value set according to road conditions to obtain an illumination threshold value difference, namely information II;the selective flow object monitoring subsystem comprises a vehicle flow sensor and a people flow sensor, the vehicle flow sensor is arranged at a fixed distance of on a road section, the people flow sensor is arranged at a fixed distance of on an application section, the of the two sensors are specifically arranged or are arranged together according to application scenes, and the acquired information is synthesized into information III;the regulation and control subsystem regulates and controls the power of the illumination control driving subsystem of the illumination device according to the information I, the information II and the information III and the mode and the threshold value which can be selected by a system administrator;when the communication module and the information release subsystem judge that the fog exists and the visibility is low to the threshold value of the speed limit or the forbidden, a roadside electronic warning notice board is started to display a speed limit or forbidden signal;the control subsystem obtains a real-time image of the visibility marker by taking a picture under a specific shooting condition according to the information I, and calculates a visibility value by carrying out a graph comparison algorithm on a maximum likelihood graph generated by an image analysis model established by a standard image;the specific shooting condition is that the shooting parameters comprise lens resolution, focal length, aperture, camera CMOS pixel and shooting object distance, and are classified by calculation software to generate a maximum likelihood map;the standard images are series images obtained by setting various shooting conditions in a laboratory in advance and aiming at visibility markers, and the calibration of real scenes of the road conditions in the fog areas with specific visibility;the image analysis model system comprises methods with various shooting parameters, such as but not limited to statistical image model method, Markov random field model, and domain hidden Markov model;the pattern comparison algorithm is used for comparing the visibility marker image shot in the field with a maximum likelihood map, and the algorithm comprises independent sample pixel variance method, adjacent pixel variance method, image Fourier transform algorithm, two-dimensional discrete Fourier transform processing image method, Walsh-Hadamard transform, discrete Kafner-Levier transform, cosine transform, sine transform, haar transform and oblique transform.
- 2. The intelligent lighting control system of claim 1, wherein: the visibility marker comprises but is not limited to a geometrical figure with gray level gradation gradual change, a strip figure arrangement with different sizes and a symbol figure with an opening; wherein:the geometric figure with gradation is printed on a proper substrate, and a plurality of geometric figures with gradation are arranged;the strip-shaped graph arrangement with different sizes is printed on a proper substrate, and the sizes are monotonously and gradually changed;the symbol patterns with openings are character symbols which are printed on a proper substrate and are arranged in order from large to small, and the symbol patterns include but are not limited to of characters in E, H, F, C, mountain and Sichuan;suitable substrates are metal substrates or transparent substrates including, but not limited to, stainless steel, copper alloys, aluminum alloys, glass, acrylic, polycarbonate, and polyethylene.
- 3. The intelligent lighting control system of claim 1, wherein: information II and information III acquisition method:the regulation and control subsystem measures the natural illumination intensity of the position of the lighting device by using an illumination meter according to the information II, and is used for comparing the natural illumination intensity with an illumination threshold value set according to road conditions to obtain an illumination threshold value difference;the information III of the regulation subsystem is taken from a traffic flow sensor and a people flow sensor which are arranged according to the needs;the traffic flow sensor is installed on an important road section, including but not limited to: multilane intersections, sharp bends, pedestrian and vehicle convergence and high-flow road sections;the people flow sensor is installed on an important road, including but not limited to: commercial, industrial, park and zebra crossings.
- 4. The intelligent lighting control system of claim 1, wherein: the visibility detection subsystem, the illumination detection subsystem, the regulation and control subsystem, the illumination control driving subsystem, the communication module, the information issuing subsystem and the selective flow object monitoring subsystem are arranged in the following modes:the visibility detection subsystem and the illumination detection subsystem are arranged in a loop control box of the lighting device, and the waterproof grade of the loop control box is greater than IP 54;the visibility marker is arranged in a light cone 2-4 meters below the lighting device by a support cantilever, the surface of the visibility marker and the lamp are inclined at 30-60 degrees to receive light, reflect light or transmit light, the phase taking device is arranged opposite to the phase taking device, and the lens is aligned with the visibility marker, the mounting modes of the two are :(1) the visibility marker and the image capturing device are simultaneously arranged on the same lamp carrier at a distance of 0.5-2 m;(2) the visibility marker and the image capturing device are respectively arranged on different adjacent lamp carrying bodies which are separated by 5-50 meters, and the different lamp carrying bodies are arranged on the same side or different sides of a road according to terrain and plant shielding conditions.
- 5. The intelligent lighting control system of claim 2, wherein: the visibility marker satisfies the following characteristics:(1) 4-10 rectangular markers with the same gray level, which are printed on the substrate, are arranged in parallel in sequence from small to large, wherein the width of the markers is 4-64 mm, and the length of the markers is 100-500 mm;(2) the marks printed by 4-10 rectangular marks with the same width and gradually changed gray levels printed on the substrate have the width of 10-64 mm and the same length of 100-500 mm, and two adjacent rectangular marks have no gap or the distance of 1-20 mm;(3) the length of the symbol printed on the substrate with the opening is between 100 and 500mm, the thickness of the line formed by the symbol is between 4 and 64mm, and the distance between two adjacent symbol markers is between 50 and 500 mm.
- 6. The intelligent lighting control system of claim 1, wherein: the visibility marker has the functions of brightening at night and self-cleaning;the night time brightening capability is achieved by coating the surface with materials including, but not limited to, fluorescent or phosphorescent materials;the visibility marker has a self-cleaning function and is coated with a nano self-cleaning coating on the outermost layer.
- 7. An intelligent regulation and control method for lighting based on the system as claimed in any of claims 1 or 6, which is characterized by that the visibility detection subsystem obtains the signal I as the secondary control signal, the illuminance detection subsystem obtains the signal II as the primary control signal, and the flow object monitoring subsystem obtains the signal III as the auxiliary signal, then the signals I-III are inputted into the regulation and control subsystem, the system manager selects the mode to regulate and control the power of the lighting control and drive subsystem of the lighting device, and the most energy-saving mode is used to make the fusion decision-making mode according to the signals I-III, so as to optimize the luminous flux and visibility of the lighting device.
- 8. The intelligent control method of illumination as claimed in claim 7, wherein:set the illumination threshold AiVisibility threshold value BiAnd the positive integer serial number i is a reference value set by the system, and a system administrator selects a proper threshold value to regulate and control according to the requirement:when the ambient illumination is greater than A1Lux, visibility greater than B1km, the regulation subsystem turns off the illumination of the illumination device;when the ambient illumination is reduced to A2Lux, reduced visibility to B2km, starting a lighting device switch by the regulation and control subsystem, and regulating the power of the electronic circuit according to the illumination requirement set by a system operator to regulate the luminous flux of the lighting device;visibility is reduced to B3And km, namely the foggy weather condition, the communication module sends an instruction to the information issuing subsystem, starts warning information, carries out danger prompt by virtue of the issuing platform, and carries out speed limit or stop prompt according to visibility.
- 9. The intelligent control method of illumination as claimed in claim 8, wherein: the signal III is an auxiliary signal, and the control mode is as follows:for the scene provided with the traffic flow sensor, when the natural illumination intensity and the visibility are detected to be insufficient, the regulation and control subsystem maintains fractions of the minimum illumination value according to the setting of a system operator under the condition of no traffic flow, when the vehicle comes, the illumination at the position of more than 50m in front of the vehicle is gradually improved to the standard driving illumination intensity in advance, and after the vehicle passes by, fractions which are gradually recovered to the minimum illumination are set;for the scene provided with the pedestrian flow sensor, when the natural illumination intensity and the visibility are detected to be insufficient, the control subsystem maintains fractions of the minimum illumination value according to the setting of a system operator under the condition of no pedestrian flow, the illumination of the place more than 20m in front of a pedestrian is gradually improved to the illumination intensity of a standard pedestrian scene in advance when the pedestrian comes, and fractions for gradually recovering the minimum illumination are set after the pedestrian passes;the fractions of the lowest illumination are ratio values from 100% to 0% that can be self-determined by the system operator;and for the comprehensive scene of the detection of the traffic flow and the pedestrian flow, the traffic flow and the pedestrian flow information are used as comprehensive information to adjust the illumination, and the regulation and control subsystem is provided with specific ratio values which are selected by a system operator to improve the illumination of the illuminating device to reach the minimum value of the road illumination standard and reach 100-120% above the minimum value according to the traffic flow numerical value and the pedestrian flow numerical value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811338083.XA CN109587901B (en) | 2018-11-09 | 2018-11-09 | Intelligent control system and method for illumination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811338083.XA CN109587901B (en) | 2018-11-09 | 2018-11-09 | Intelligent control system and method for illumination |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109587901A CN109587901A (en) | 2019-04-05 |
| CN109587901B true CN109587901B (en) | 2020-01-31 |
Family
ID=65922157
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811338083.XA Active CN109587901B (en) | 2018-11-09 | 2018-11-09 | Intelligent control system and method for illumination |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109587901B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240676B (en) * | 2021-07-13 | 2021-10-15 | 深圳奥雅设计股份有限公司 | Intelligent regulation and control method and system of intelligent street lamp based on big data |
| CN113825285B (en) * | 2021-11-24 | 2022-02-01 | 四川九通智路科技有限公司 | Light control method and system based on ion induction visibility meter |
| CN114326430A (en) * | 2022-01-07 | 2022-04-12 | 康体佳智能科技（深圳）有限公司 | Load control method, device, equipment and computer readable storage medium |
| CN116256315A (en) * | 2022-12-30 | 2023-06-13 | 海南科力千方科技有限公司 | Information acquisition device of highway roadside |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| CN106332345A (en) * | 2016-08-19 | 2017-01-11 | 江苏长路能源科技发展有限公司 | Intelligent lighting system for continuous tunnel group |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101957309B (en) * | 2010-08-17 | 2012-11-07 | 招商局重庆交通科研设计院有限公司 | All-weather video measurement method for visibility |
| CN104302051B (en) * | 2014-10-08 | 2016-08-24 | 山东新帅克能源科技有限公司 | Control system of solar energy street lamp based on time, illumination and visibility and method |
| CN104812134A (en) * | 2015-04-17 | 2015-07-29 | 交通运输部公路科学研究所 | Highway tunnel illumination system and method |
| CN105021528A (en) * | 2015-07-15 | 2015-11-04 | 安徽皖通科技股份有限公司 | Road weather detection device based on videos |
-
2018
- 2018-11-09 CN CN201811338083.XA patent/CN109587901B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| CN106332345A (en) * | 2016-08-19 | 2017-01-11 | 江苏长路能源科技发展有限公司 | Intelligent lighting system for continuous tunnel group |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109587901A (en) | 2019-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109587901B (en) | Intelligent control system and method for illumination | |
| CN102708378B (en) | Method for diagnosing fault of intelligent traffic capturing equipment based on image abnormal characteristic | |
| RU2010107337A (en) | WAY OF OBSERVATION FOR TAKEOFF AND LANDING SYSTEM AND SYSTEM FOR IMPLEMENTATION OF THE METHOD | |
| CN103295402A (en) | Intelligent traffic overspeed snapshot system | |
| CN109147351A (en) | A kind of traffic light control system | |
| CN101142814A (en) | Image processing device and method, program, and recording medium | |
| CN104937637A (en) | Vehicular image recognition system for display-board recognition | |
| CN112288736B (en) | Visibility estimation method based on images | |
| CN109915776A (en) | The detection system and detection method of a kind of pavement of road average brightness and average illumination | |
| CN111372351A (en) | Wisdom lighting control system | |
| CN105303844B (en) | Night expressway fog automatic detection device and its detection method based on laser | |
| CN112329553B (en) | Lane line marking method and device | |
| CN110708830B (en) | Intelligent lamp inspection system | |
| CN116056288A (en) | Control method of vehicle lamplight, nonvolatile storage medium and vehicle | |
| WO2015055737A1 (en) | Method and system for determining a reflection property of a scene | |
| CN103134800A (en) | Road weather detection system based on video | |
| CN115098917A (en) | Landscape design management system based on big data | |
| KR101705027B1 (en) | Nighttime Visibility Assessment Solution for Road System Method Thereof | |
| CN113365400B (en) | Multi-period street lamp control system based on artificial intelligence and video analysis | |
| KR101934345B1 (en) | Field analysis system for improving recognition rate of car number reading at night living crime prevention | |
| CN107816974B (en) | Device and method for measuring vision distance of tunnel entrance driving | |
| Gurney et al. | The effect of ANPR camera settings on system performance | |
| CN215117795U (en) | Visibility determination device under low light level condition | |
| CN116665466A (en) | Intelligent traffic management platform for intelligent monitoring | |
| CN212259378U (en) | Wisdom lighting control system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |