Mobile monitoring and evaluating device for urban light pollution

Abstract

The invention relates to a mobile monitoring and evaluating device for urban light pollution, which comprises a plurality of large-view-field brightness matrix rapid monitoring devices, a data switch and a main control board, and is characterized in that the large-view-field brightness matrix rapid monitoring devices are symmetrically arranged; each large-view-field brightness matrix rapid monitoring device comprises a CMOS monochrome image sensor and an ultra-wide-angle lens with a visual angle of more than 180 degrees which are connected, and the large-view-field brightness matrix rapid monitoring devices meet urban night brightness detection requirements through preset parameter setting. The data switch is connected with the large-view-field brightness matrix rapid monitoring devices, and the main control board receives collected data of the large-view-field brightness matrix rapid monitoring devices through the data switch and evaluates the glare influence of urban night media facade interference light on the road view angle based on the collected data. Compared with the prior art, the method has the advantages of being high in monitoring accuracy, achieving urban scale rapid quantitative evaluation and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of urban light pollution detection, and in particular to a mobile monitoring and evaluation device for urban light pollution. Background Art

[0002] With the advancement of urbanization and the widespread use of artificial light sources, urban nights are becoming brighter and brighter, and the number of complaints about light pollution is increasing year by year. Light pollution has become a seriously underestimated urban pollution problem in human society. The impact of light pollution is wide-ranging. Studies have shown that 80% of the world's population currently lives in a light-polluted environment, and the trend is increasing year by year. The impact of light pollution on humans mainly includes various visual impairments, biological rhythm interference, emotional and cognitive effects, and endangerment to traffic safety.

[0003] LED media facades are an important source of urban light pollution and are widely used in various occasions such as public information release, commercial advertising, traffic information prompts, and urban night scene lighting. The high brightness of LED media facades has largely alleviated the problem of reduced contrast and display recognition caused by the reflection of sunlight on the screen surface during the day. However, as night falls, the ambient illumination decreases rapidly, and the glare problem caused by LED media facades at night also becomes prominent, and the number of complaints about light pollution is also increasing.

[0004] Glare refers to the visual phenomenon in which the brightness distribution is uneven or even extremely different within the field of vision of the human eye under different lighting conditions, causing the human eye to feel noticeably uncomfortable, temporarily reducing the visual observation ability of the human eye, or causing permanent damage to the visual ability. Glare can be divided into discomfort glare and disabling glare according to its impact mechanism and degree. The research results on road safety in the literature "Investigating the risk factors associated with the severity of the pedestrians injured on Spanish crosstown roads" (Casado-Sanz, N., et al., Sustainability, 2019.11(19): p.5194) show that disabling glare caused by strong light within the field of vision during driving is an important risk source for traffic accidents. The maximum brightness of the currently widely used LED media facades can exceed 8000cd / m 2, the glare it produces is mostly disabling glare, which is enough to cause visual impairment, reduced visual visibility and judgment ability of pedestrians and drivers on the road, causing major traffic accidents, and greatly threatening the life, health and travel safety of pedestrians and drivers on the road at night. Not only that, the glare scene of LED media facades appearing in the road field will greatly affect the camera-based on-board visual imaging system and autonomous driving system, increasing the traffic safety risk of autonomous driving in the future. Therefore, measuring the glare impact of urban night light pollution, reasonably arranging the position of media facades, and strengthening the management of media facades are of great significance to the road safety of pedestrians, drivers and passengers on urban roads and autonomous driving.

[0005] At present, the main ways to monitor urban nighttime light pollution are: satellite remote sensing, aircraft drone monitoring, sky quality meter, illuminance meter, brightness meter, handheld single-lens reflex (DSLR) camera and hyperspectral imaging brightness meter. Satellite remote sensing technology provides a way to observe the intensity of light on the ground from the perspective of outer space. Due to its wide observation range, satellite images have become an important means to study urban light pollution. Currently, the satellites used for urban nighttime light pollution research are: the F-1 satellite of the US Defense Meteorological Satellite Program (DMSP), the EROS-B satellite of Israel, the SuomiNPP of NASA, and China's Jilin-1 (JL1-3B) and Luojia-1. Although with the advancement of technology, the ground resolution of satellite remote sensing has developed from 1km of DMSP-OLS to 130m of Luojia-1, it is still not enough to distinguish the types of ground light sources; in addition, satellite remote sensing images lack the blue light band (380-450nm), and there is a large deviation in the observation of the popular LED light source with a large proportion of blue light. The paper "Progress in the Application of Remote Sensing Technology in the Study of Urban Nighttime Light Pollution" (Liu Ming, Hao Qingli, Liu Yue, Journal of Illuminating Engineering, 2019.30(02): p.109-116+122.) compares the performance of three satellites: DMSP, SuomiNPP and EROS-B, and summarizes the limitations of satellite remote sensing images compared to ground measurements in terms of the directionality of monitored light (limited to upward light), spatial resolution (insufficient to distinguish ground light sources) and spectral sensitivity differences (deviations in LED light measurement). Therefore, it is not suitable for large-scale monitoring of the brightness distribution of urban LED media facades.

[0006] Aerial photography is another way to study upward light. The document "Aerial survey and spatial analysis of sources of light pollution in Berlin" (Kuechly, HU, et al. Germany. Remote Sensing of Environment, 2012. 126: p. 39-50.) publicly used a CCD camera installed on a Cessna T207A aircraft to observe the light pollution level of Berlin streets with a ground resolution of 1m. Compared with the high cost of aerial photography by aircraft, drone aerial photography provides another economical way. However, the document "Remote sensing of nightlights: A review and an outlook for the future" (Levin, N., et al. Remote Sensing of Environment, 2020. 237: p. 111443) also pointed out that the use of vehicles such as drones and balloons is restricted by the ban on flying in the core areas of the city, especially urban LED media facades often appear in high-density no-fly zones in the city.

[0007] Sky quality meter (SQM) is the most widely used light pollution monitoring device in many countries. It is a device used to measure the brightness of stars at night sky points on the ground. However, the literature "Measuring night sky brightness: methods and challenges" (Hanel, A., et al. Journal of Quantitative Spectroscopy and Radiative Transfer, 2018.205: p.278-290.) points out that the spectral sensitivity of many SQMs has a large deviation from the astronomical visible light band (Vband) curve, resulting in inaccurate measurement of star brightness. In addition, the literature "Sky Quality Meter measurements in a colour-changing world" (Sánchez de Miguel, A., et al., S. Monthly Notices of the Royal Astronomical Society, 2017.467 (3): p.2966-2979) reports that SQMs are usually relatively sensitive to the blue light band, and their spectral sensitivity is quite different from the visual light efficiency function V (λ), resulting in excessive influence of LED light sources on the monitoring results.

[0008] The spectral sensitivity of an illuminance meter is usually calibrated according to the CIE visual light efficiency function V(λ). The monitored illuminance data is related to the visual perception of the human eye. Due to its low cost and portability, it is widely used in the monitoring of light pollution, especially in the study of human settlements and ecological environment. However, the literature "Measuring night sky brightness: methods and challenges" points out that illuminance meters are not sensitive enough to dim light environments at night, and because the illuminance decreases in a geometric relationship with the distance from the light source, the monitoring position and direction have a greater impact on data collection, which limits the application of illuminance meters in the study of LED media facade monitoring.

[0009] Luminance meters are also designed based on the spectral sensitivity of human vision and can measure the brightness of light in a specified direction. However, the measurement angle of the luminance meter is small (2°) and it is not sensitive to low-light conditions at night. The document "Global approaches to reduce light pollution from media architecture and non-static, self-luminous LED displays for mixed-use urban developments" (Zielinska-Dabkowska, KMand K.Xavia.Sustainability, 2019.11(12):p.3446.) points out that luminance meters are limited in monitoring the fast-flashing LED facades of buildings due to the response speed limitations of their sensors and imaging focus.

[0010] In recent years, handheld single-lens reflex (DSLR) cameras with different imaging lenses (imaging brightness meters) have been gradually applied to the study of light pollution. The green channel of the three red, green and blue (RGB) channels is usually used to correlate the spectral sensitivity of human vision, and the spectral sensitivity associated with the CIE visual light efficiency function V (λ) is synthesized through post-photo processing. However, some studies have pointed out that the error of the synthesized spectral sensitivity through post-photo processing alone can reach more than 50%, and there will be obvious errors in the brightness measurement of different artificial light sources. At present, few studies have studied the monitoring methods of LED media facades based on their luminous characteristics.

[0011] Hyperspectral Camera can monitor the energy distribution matrix of different spectra through a raster scanning imaging system. The paper "Ground-based hyperspectral analysis of the urban nightscape" (Alamús, R., et al..ISPRS Journal of Photogrammetry and Remote Sensing, 2017.124: p.16-26) uses a ground-based hyperspectral camera to evaluate the horizon light of Barcelona, ​​Spain. It is an effective way to observe the ecological impact of light pollution, but it also has the problem of too long a single acquisition time for the dark light environment at night, which is limited by the monitoring of dynamically changing building LED facades.

[0012] Although the above ground monitoring methods have a closer observation distance for urban LED media facade light pollution than satellite remote sensing and aerial photography, and measure brightness from the ground perspective, which is more in line with the human eye's perception perspective to quantify and analyze the light pollution impact of LED media facades. However, the point-to-point measurement characteristics of ground monitoring equipment, the small field of view of brightness monitoring, and the need for a long single acquisition time in the dark light environment of the city at night limit the ground monitoring method's monitoring range and speed of urban nighttime LED media facade light pollution. Therefore, a large field of view rapid measurement method for light pollution brightness is of great significance for a large-scale assessment of the impact of urban nighttime light pollution. Summary of the invention

[0013] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a fast and accurate urban light pollution mobile monitoring and evaluation device.

[0014] The purpose of the present invention can be achieved by the following technical solutions:

[0015] A mobile monitoring and evaluation device for urban light pollution includes a movable platform and a large-field-of-view brightness matrix rapid monitoring device, a data switch and a main control board arranged on the movable platform, wherein:

[0016] The large-field-of-view brightness matrix rapid monitoring device is symmetrically arranged in multiple units, each of which comprises a connected CMOS monochrome image sensor and an ultra-wide-angle lens with a viewing angle of more than 180°. Each of the large-field-of-view brightness matrix rapid monitoring devices is pre-parameterized to meet the needs of nighttime brightness detection in cities.

[0017] The data switch is connected to a large-viewing-field brightness matrix rapid monitoring device.

[0018] The main control board receives the collected data of the brightness matrix rapid monitoring devices of each major field of view through the data switch, and evaluates the glare effect of the interference light of the urban media facade on the road viewing angle at night based on the collected data.

[0019] Furthermore, the parameter setting includes one or more of spectral sensitivity adjustment, lens aperture setting, sensor edge signal compensation, and shortest exposure time combination setting.

[0020] Furthermore, in the spectral sensitivity adjustment, the difference between the spectral sensitivity and the CIE light efficiency function is reduced to within 9%.

[0021] Furthermore, when performing the lens aperture setting, the lens aperture is set to a maximum value.

[0022] Furthermore, when performing the setting of the shortest exposure time combination, the balance between sensor gain and signal noise is considered.

[0023] Furthermore, the specific process of evaluating the glare effect of the interference light of the urban media facade on the road viewing angle at night based on the collected data includes:

[0024] The nighttime media facade brightness distribution map is obtained through the spatial mapping model based on the data collected by the rapid monitoring equipment based on the brightness matrix of each field of view;

[0025] Preprocessing the nighttime media facade brightness distribution map, extracting different interfering light sources, and calculating the interfering light source solid angles;

[0026] Based on the nighttime media facade brightness distribution map and the solid angle of the interfering light source, combined with the static glare evaluation model and the dynamic glare evaluation model, the glare impact of the interfering light of the urban nighttime media facade on the road viewing angle is comprehensively evaluated.

[0027] Furthermore, the preprocessing includes wavelet transform and image edge extraction.

[0028] Furthermore, the static glare evaluation model adopts a large light source illumination glare correction model, and the dynamic glare evaluation model adopts a DG model.

[0029] Furthermore, when obtaining the nighttime media facade brightness distribution map, the nighttime interference light brightness data collected by at least two large-field-of-view brightness matrix rapid monitoring devices in the same direction under different exposure durations are synthesized.

[0030] Furthermore, the main control board is also connected to a GPS module via a data switch.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1) The present invention adopts CMOS monochrome image sensor and wide-angle image synthesis technology, and through parameter setting to meet the needs of urban nighttime brightness detection, realizes large-field rapid measurement of the brightness of LED media facades at night, and establishes a large-viewing angle, fast and accurate brightness distribution matrix measurement method for LED media facades in urban nighttime dark light environments.

[0033] 2) The present invention introduces a spectral sensitivity correction method into high dynamic imaging technology to improve the accuracy of the brightness image monitoring method for different artificial light sources.

[0034] 3) Based on a four-axis imaging system and a spatial mapping model, the present invention achieves a breakthrough in a multi-view rapid monitoring method for nighttime brightness of urban roads.

[0035] 4) Based on static and dynamic glare models and field brightness matrix monitoring methods, the glare risk and visual comfort impact of urban nighttime LED media facades on road pedestrians and vehicle passengers, as well as potential road safety impacts, are accurately obtained, and the impact of urban nighttime LED media facades on visual glare for road pedestrians and vehicle passengers is effectively quantified. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the structure of a monitoring device in an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of a mobile monitoring platform in an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of a mapping model in an embodiment of the present invention;

[0039] Figure 4 A schematic diagram of the monitoring and evaluation process in an embodiment of the present invention;

[0040] Figure 5 Schematic diagram of a monitoring device with multiple cameras with optical filters added in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0042] refer to Figure 1 As shown, this embodiment provides a mobile monitoring and evaluation device for urban light pollution, including a movable platform and a large-field-of-view brightness matrix rapid monitoring device 1, a data switch 2 and a main control board 3 arranged on the movable platform, wherein a plurality of large-field-of-view brightness matrix rapid monitoring devices (i.e., brightness monitoring cameras) are symmetrically arranged, and a plurality of devices can be arranged on each side, such as Figure 2 As shown, each of the large field of view brightness matrix rapid monitoring devices includes a connected CMOS monochrome image sensor and an ultra-wide-angle lens with a viewing angle of more than 180°. Each of the large field of view brightness matrix rapid monitoring devices is pre-set with parameters to meet the city nighttime brightness detection needs; the data switch is connected to the large field of view brightness matrix rapid monitoring device, and the main control board receives the collected data of each large field of view brightness matrix rapid monitoring device through the data switch, and evaluates the glare effect of the city nighttime media facade interference light on the road viewing angle based on the collected data. In this embodiment, the movable platform is a vehicle.

[0043] The parameter settings of the above-mentioned large-field-of-view brightness matrix rapid monitoring equipment include spectral sensitivity adjustment, lens aperture setting, sensor edge signal compensation, minimum exposure time combination setting, etc. Through the above settings, the large-field-of-view brightness matrix rapid monitoring equipment can adapt to the large-field rapid measurement of urban nighttime media facade brightness distribution monitoring. In the process of evaluating the glare effect of urban nighttime media facade interference light on the road viewing angle, the nighttime media facade brightness distribution map and the interference light source solid angle are combined with the static glare evaluation model and the dynamic glare evaluation model to realize the comprehensive evaluation of the glare effect of urban nighttime media facade interference light on the road viewing angle.

[0044] a) Rapid measurement of brightness distribution of urban media facades at night from a road perspective with a large field of view

[0045] In this embodiment, a CMOS monochrome image sensor larger than 1 inch is selected to ensure that the pixel size is larger than 3μm, and has sufficient sensitivity to respond quickly to dark light environments, and is used with an ultra-wide-angle lens with a viewing angle of more than 180° for large-field image data acquisition. Since LED light sources are different from natural light, the spectral bandwidth is narrow and a sharp peak appears in the blue light part, so the spectral sensitivity error of the large-field brightness matrix rapid monitoring device will significantly affect the accuracy of the brightness measurement results.

[0046] In this embodiment, the difference between the spectral sensitivity of the monitoring device and the CIE light efficiency function V(λ) is reduced to less than 9% through an optical filter, and a combination of short-pass and long-pass optical filters is used to correct the spectral sensitivity of the measured imaging device in the lens imaging light path. The goal is to normalize the spectral sensitivity deviation f1 of formulas (1) and (2) to ′ Reduced to less than 9% to meet the brightness detection standard. l (λ) is the spectral energy distribution of the ideal light source (CIE D65 light source can be assumed), and S(λ) is the spectral sensitivity of the measured imaging device. After optical filter adjustment, the spectral sensitivity of the monitoring device is verified again, and its spectral sensitivity normalized deviation f1 is determined ′ .

[0047]

[0048]

[0049] Since this embodiment uses an ultra-wide-angle lens of more than 180°, its optical structure design features make the vignetting effect of the imaging lens combination more obvious - that is, the brightness of the incident light near the edge of the lens will be significantly weakened compared to the central beam, and the vignetting effect of the lens is particularly obvious at a large aperture. However, in order to achieve the goal of quickly measuring brightness in a dark environment, this study will use the maximum aperture of the lens to increase the light flux entering the imaging system, thereby increasing the response speed of the image sensor. Quantitative analysis of the vignetting effect and compensation for the edge signal of the CMOS image sensor are particularly important for the accuracy of brightness matrix measurement.

[0050] In addition, in order to quickly measure the brightness distribution matrix of the LED media facade in a dark environment at night, the linear response range of the CMOS image sensor is determined by changing the brightness of the light source and the exposure time of the device under test, and the shortest exposure time combination of the imaging device is calculated according to the target brightness detection range of the LED media facade. Although increasing the gain of the CMOS image sensor can further shorten the exposure time, the image noise amplitude in a dark environment at night will also increase accordingly. Therefore, this embodiment balances the sensor gain and signal noise when setting the shortest exposure time combination.

[0051] Since each pixel corresponds to an incident light ray in a specific direction, the one-to-one correspondence can be determined through the 3D to 2D spatial mapping model of the camera lens. In formula (3), x and y are the 2D coordinates of the pixel plane, X, Y, and Z are the 3D coordinate points in the space where the imaging object is located, and f x and f y are the focal lengths in the x and y directions, s is the tangential distortion parameter, c x and c y is the coordinate origin, R and T are the rotation and translation matrices respectively.

[0052]

[0053] After determining these parameters, the relative position and angle of the corresponding LED media facade can be obtained through the position of the pixel point, such as Figure 3 As shown, the pixel plane is located at Figure 3 The bottom and top arched curved grids correspond to each incident angle. This mapping model can be used for panoramic image stitching to transform different observation perspectives.

[0054] After the above parameters are set and corrected, it can be used as an ultra-wide-angle imaging brightness monitoring system suitable for monitoring the brightness distribution of urban media facades at night.

[0055] b) Evaluation process of interference light from urban nighttime LED media facades based on road glare model

[0056] like Figure 4 As shown, the specific process of using the above-mentioned urban light pollution mobile monitoring and evaluation device to obtain collected data and evaluate the glare effect of urban nighttime media facade interference light on road viewing angle based on the collected data includes:

[0057] The nighttime media facade brightness distribution map is obtained through the spatial mapping model based on the data collected by the rapid monitoring equipment based on the brightness matrix of each field of view;

[0058] Preprocessing the nighttime media facade brightness distribution map, extracting different interfering light sources, and calculating the interfering light source solid angles, wherein the preprocessing includes wavelet transform and image edge extraction;

[0059] Based on the nighttime media facade brightness distribution map and the solid angle of the interfering light source, combined with the static glare evaluation model and the dynamic glare evaluation model, the glare impact of the interfering light of the urban nighttime media facade on the road viewing angle is comprehensively evaluated.

[0060] For the glare evaluation of LED media facades at night in cities, this embodiment will use the large light source lighting glare correction model (GGR), which is mainly based on the unified glare value model (UGR) and obtained according to large light sources. The UGR model can be expressed as formula (4), where L gi is the brightness value of each glare source, ω gi is the solid angle of each glare source, L b is the background brightness, P i is the position index of each glare source.

[0061]

[0062] The GGR model is mainly aimed at large light sources and is improved based on the UGR after experiments. This model has been applied in the study of the impact of sunlight glare on road drivers, as shown in formula (5), where CC represents the roof coverage.

[0063]

[0064] The DGP model of sunlight glare probability index was constructed by Wienold et al. to solve the limitation of DGI model when the brightness of glare source and background brightness are close. The DGP model is constructed by introducing the vertical illuminance of the light source to the eye, as shown in formula (6), where E v It is the vertical illuminance at the observation point. DGP is also considered to be one of the most suitable models for evaluating indoor daylight glare and uncomfortable glare from large light sources.

[0065]

[0066] For vehicle drivers and passengers, the observer approaches or moves away from the LED media facade at a certain speed. Zhang Heng et al., considering the difference in dynamic and static visual characteristics, introduced the dynamic glare evaluation model DG based on the threshold enhancement TI model. Where v is the vehicle speed, L is the vehicle speed, db is the average brightness of the road surface, L k is the brightness value of the kth glare source within the field of view, S k is the luminous area of ​​the kth glare source, θ k is the angle between the glare source and the observation horizontal axis.

[0067]

[0068] In order to evaluate the impact of interference light from media LED media facades on the visual comfort of road pedestrians and passengers at night, this study will use static and dynamic glare evaluation models respectively. In addition to the brightness of the glare source, the calculation of the glare evaluation value also requires the luminous area or solid angle of the glare source. Since the edge of an object is usually located in an area where the brightness value of the pixel point in the image changes greatly, the wavelet transform can decompose the information in the image into the coefficients of the basis function, including pixel difference information. In addition to its advantage of multi-scale image segmentation, this study will use the wavelet transform to detect and extract the edge of the glare source on the brightness matrix, and evaluate the visual comfort of road pedestrians and passengers through the above static and dynamic glare evaluation models.

[0069] c) Build a mobile monitoring device for interference light from LED media facades at night

[0070] In this embodiment, this mobile monitoring device will carry at least two large-field brightness matrix rapid monitoring devices on each side of the roof, that is, the above-mentioned corrected ultra-wide-angle imaging brightness monitoring system, for multi-angle continuous monitoring of LED media facade interference light at night. Considering that when the mobile platform is translated at a certain speed, the use of HDR continuous shooting with a single device will cause obvious differences in viewing angles, so this study innovatively collects the brightness data of night interference light under different exposure time conditions by synthesizing two devices in the same direction (same side). And an embedded control system is used to control the two devices in the same direction to collect, transmit data, and synthesize the brightness matrix at the same time. The two devices loaded on the opposite side of the roof are used to detect the brightness distribution of interference light on the other side (direction), thereby realizing 360-degree full-view distribution monitoring. The different exposure time combinations used in the study increase the brightness detection range in the experiment, and each device carried has a 180° ultra-wide viewing angle and a spatial mapping relationship established through research. The monitoring panoramic brightness matrix on the left and right sides can be spliced, and different observation angles can be switched in the later stage, finally realizing the large-field rapid measurement of the brightness distribution of the LED media facade at night and outputting the glare evaluation results.

[0071] In other embodiments, the device also includes a GPS module 4, and the main control board 3 is connected to the GPS module 4 through a data switch 2. Based on the location information of the GPS module and the brightness distribution of the LED media, a visual graph of the glare effect of the urban night media facade interference light on the road perspective in different areas of the city is generated.

[0072] In addition, in another embodiment, Figure 5 As shown, a combination of multiple cameras with optical filters is added to increase the multispectral monitoring images of different spectral subdivision bands.

[0073] The above-mentioned device is installed on mobile platforms such as vehicles, and can realize the rapid acquisition of night-time media facade brightness on city-wide and large-range mobile platforms, thereby efficiently realizing urban light pollution assessment. Through short-time acquisition methods (large lens aperture, large sensor gain), image clarity can be guaranteed even in applications on mobile platforms when light is insufficient at night.

[0074] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A mobile monitoring and evaluation device for urban light pollution, characterized in that: It includes a movable platform and a large-viewing-field brightness matrix rapid monitoring device, a data switch and a main control board arranged on the movable platform, wherein: The large-field-of-view brightness matrix rapid monitoring device is symmetrically arranged in multiple units, each of which comprises a connected CMOS monochrome image sensor and an ultra-wide-angle lens with a viewing angle of more than 180°. Each of the large-field-of-view brightness matrix rapid monitoring devices is pre-parameterized to meet the needs of nighttime brightness detection in cities. The data switch is connected to a large-viewing-field brightness matrix rapid monitoring device. The main control board receives the collected data of the brightness matrix rapid monitoring devices of each major field of view through the data switch, and evaluates the glare effect of the interference light of the urban media facade on the road viewing angle at night based on the collected data.

2. The urban light pollution mobile monitoring and evaluation device according to claim 1 is characterized in that: The parameter setting includes one or more of spectral sensitivity adjustment, lens aperture setting, sensor edge signal compensation, and shortest exposure time combination setting.

3. The urban light pollution mobile monitoring and evaluation device according to claim 2 is characterized in that: In the spectral sensitivity adjustment, the difference between the spectral sensitivity and the CIE light efficiency function is reduced to within 9%.

4. The urban light pollution mobile monitoring and evaluation device according to claim 2 is characterized in that: When performing the lens aperture setting, the lens aperture is set to the maximum value.

5. The urban light pollution mobile monitoring and evaluation device according to claim 2 is characterized in that: When setting the shortest exposure time combination, the balance between sensor gain and signal noise is considered.

6. The urban light pollution mobile monitoring and evaluation device according to claim 1 is characterized in that: The specific process of evaluating the glare effect of the interference light of the urban media facade on the road viewing angle at night based on the collected data includes: The nighttime media facade brightness distribution map is obtained through the spatial mapping model based on the data collected by the rapid monitoring equipment based on the brightness matrix of each field of view; Preprocessing the nighttime media facade brightness distribution map, extracting different interfering light sources, and calculating the interfering light source solid angles; Based on the nighttime media facade brightness distribution map and the solid angle of the interfering light source, combined with the static glare evaluation model and the dynamic glare evaluation model, the glare impact of the interfering light of the urban nighttime media facade on the road viewing angle is comprehensively evaluated.

7. The urban light pollution mobile monitoring and evaluation device according to claim 6 is characterized in that: The preprocessing includes wavelet transform and image edge extraction.

8. The urban light pollution mobile monitoring and evaluation device according to claim 6 is characterized in that: The static glare evaluation model adopts a large light source illumination glare correction model, and the dynamic glare evaluation model adopts a DG model.

9. The urban light pollution mobile monitoring and evaluation device according to claim 6, characterized in that: When obtaining the nighttime media facade brightness distribution map, the nighttime interference light brightness data collected by at least two large-field-of-view brightness matrix rapid monitoring devices in the same direction under different exposure duration conditions are synthesized.

10. The urban light pollution mobile monitoring and evaluation device according to claim 1, characterized in that: The main control board is also connected to a GPS module via a data switch.

Images