Highway fog condition automatic detection grading alarm device

Abstract

The utility model relates to an expressway fog condition automatic detection grading alarm device which comprises a rack, an acquisition mechanism, a main control box and a power supply mechanism. The rack comprises a base, a vertical rod, a cross beam, a supporting rod and a ceiling; the acquisition mechanism comprises a visibility meter, an LED infrared light emitter and a binocular camera; a box body of the main control box is fixed on the vertical rod and located below the collecting mechanism, a loudspeaker alarm and a large display screen are arranged on the front face of the box body, a temperature and humidity sensor is arranged at the top of the box body, and a main control board is arranged in the box body; the power supply mechanism comprises a photovoltaic panel and an energy storage battery. The expressway fog condition automatic detection and grading alarm device is convenient for temporary arrangement and regional transfer in an agglomerate fog generation area along the expressway, and can synchronously collect an area field road condition video while collecting visibility data of the arrangement area in real time; and on-site alarm, large-screen colored data flicker and data prompt are automatically selected according to a data threshold value, and are provided for background centralized monitoring and research and grading through wireless remote transmission.

Description

Technical Field

[0001] This utility model relates to the field of environmental condition detection technology, specifically to an automatic detection and grading alarm device for fog conditions on highways. Background Technology

[0002] Fog is one of the most important weather factors affecting traffic safety, easily causing visibility impairment and slippery roads. Dense fog, in particular, is characterized by its localized and sudden occurrence, making it extremely prone to causing serious traffic accidents and earning it the nickname "road killer." Statistics show that fog accounts for over 60% of meteorological disasters causing traffic disruptions, ranking first among meteorological disasters. While closing highways can effectively prevent traffic accidents, it comes at the cost of sacrificing highway capacity, resulting in significant economic losses. Currently, the need for refined early warning systems and rapid emergency response for dense fog on highways is increasingly urgent. Although existing meteorological monitoring methods can identify large-scale fog occurrences, they lack the precision and timeliness for monitoring, forecasting, and early warning of small-scale, sudden, and localized fog patches. Furthermore, the conventional traffic meteorological observation network has a low deployment density and high installation and maintenance costs. In addition, most fog alarm devices either lack targeted warnings for different levels of fog or lack on-site comparison and subsequent calibration, making them prone to false alarms and missed alarms, and failing to effectively support traffic management departments in making scientific decisions and timely emergency responses. Utility Model Content

[0003] The technical problem to be solved by this utility model is to provide an automatic detection and classification alarm device for highway fog conditions. The device has a high overall structural integrity, is easy to temporarily deploy and relocate, and does not require fixed-point installation and wiring. It is convenient to temporarily deploy and relocate in areas where fog occurs along highways. It can collect visibility data in the deployment area in real time and simultaneously collect on-site road condition video. Based on the data threshold, it can automatically select on-site alarm, large-screen color data flashing, and data prompts. The data is transmitted wirelessly to the back-end for centralized monitoring and analysis to determine the classification and guide subsequent verification and calibration.

[0004] This automatic fog detection and grading alarm device for highways includes a frame placed on both sides of the highway, a data acquisition mechanism mounted on the frame for detecting visibility in fog patches, a main control box, and a power supply mechanism. The main control box is communicatively connected to and supplies power to the data acquisition mechanism, and the power supply mechanism is electrically connected to and charges the main control box. The frame includes a base, uprights mounted on the base, a U-shaped crossbeam fixed to the top of the uprights, a pair of support rods on the crossbeam, and a V-shaped canopy on the support rods. The data acquisition mechanism includes a detachable visibility meter mounted in the center of the crossbeam, a pair of LED infrared emitters mounted at both ends of the crossbeam, and a binocular camera fixed between the support rods. The main control box is fixed to the uprights and located below the data acquisition mechanism. The front of the box has a loudspeaker alarm and a large display screen, the top of the box has a temperature and humidity sensor, and the main control board is located inside the box. The power supply mechanism includes two photovoltaic panels mounted on the canopy and an energy storage battery located inside the main control box.

[0005] Furthermore, the LED infrared light emitter is installed and fixed at a 30° downward tilt from the horizontal plane, and the probe of the visibility meter is located in the optical path of the LED infrared light emitter.

[0006] Furthermore, the main control board integrates a processor, an RS485 interface module, a voice driver module, a display driver module, a voltage regulator charging module, a power conversion module, a storage module, and a wireless data transmission module.

[0007] Furthermore, the signal output terminals of the visibility meter, binocular camera, and temperature and humidity sensor are respectively connected to the processor input terminal via an RS485 interface module. The processor output terminal is connected to the loudspeaker alarm and the large display screen via a voice driver module and a display driver module, respectively. The storage module and the wireless data transmission module are serially connected to the processor.

[0008] Furthermore, the photovoltaic panel is connected to the charging end of the energy storage battery via a voltage stabilization charging module. The discharging end of the energy storage battery supplies DC 3.3-5V operating voltage to the processor and wireless data transmission module via a power conversion module, DC 12V operating voltage to the visibility meter, LED infrared light emitter and binocular camera, and DC 9V operating voltage to the loudspeaker alarm and display screen.

[0009] This utility model features a high degree of overall structural integrity, facilitates temporary deployment and relocation, and eliminates the need for fixed-point installation and wiring. It is convenient for temporary deployment and regional relocation in areas where fog occurs along highways. Simultaneously, it can collect real-time visibility data of the deployment area and video of the local road conditions. Based on data thresholds, it automatically selects on-site alarms, large-screen color data flashing, and data prompts, and transmits the data wirelessly to the backend for centralized monitoring and analysis, guiding subsequent calibration and verification. Attached Figure Description

[0010] The following description, in conjunction with the accompanying drawings, further illustrates the present invention: An automatic detection and grading alarm device for highway fog conditions.

[0011] Figure 1 This is a schematic diagram of the plan structure of the automatic fog detection and grading alarm device for this expressway.

[0012] Figure 2 This is a top-view structural diagram of the data acquisition mechanism of the automatic fog detection and grading alarm device for this highway.

[0013] Figure 3 This is a wireframe diagram showing the logic structure and connection relationships of the main control board of the automatic fog detection and grading alarm device for this highway.

[0014] In the picture:

[0015] 1-Frame; 11-Base; 12-Upright pole; 13-Crossbeam; 14-Support frame; 15-Roof;

[0016] 2-Data acquisition mechanism; 21-Visibility meter, 22-LED infrared light emitter, 23-Binocular camera;

[0017] 3-Main control box; 31-Speaker alarm; 32-Large display screen; 33-Temperature and humidity sensor; 34-Main control board;

[0018] 4-Power supply mechanism; 41-Photovoltaic panel; 42-Energy storage battery. Detailed Implementation

[0019] In this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in this utility model can be understood according to the specific circumstances.

[0020] In the description of this utility model, it should be understood that the terms "left", "right", "front", "rear", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0021] The present invention will be further described below with specific embodiments, but the scope of protection of the present invention is not limited to the following embodiments.

[0022] Implementation method 1: such as Figure 1 , 2 As shown, the system includes a frame 1 placed on both sides of the road, a data collection mechanism 2 mounted on the frame 1 for detecting visibility in fog, a main control box 3, and a power supply mechanism 4. The main control box 3 is communicatively connected to and supplies power to the data collection mechanism 2, and the power supply mechanism 4 is electrically connected to and charges the main control box 3. The frame 1 includes a base 11, a vertical pole 12 mounted on the base, a U-shaped crossbeam 13 fixed to the top of the vertical pole 12, a pair of support rods 14 mounted on the crossbeam 13, and a V-shaped canopy 15 mounted on the support rods 14. The data collection mechanism 2 includes... A detachable visibility meter 21 is mounted in the center of the crossbeam 13; a pair of LED infrared emitters 22 are installed at both ends of the crossbeam 13; and a binocular camera 23 is fixed between the beam support rods. The main control box 3 is fixed on the upright 12 and located below the acquisition mechanism 2. The front of the box is equipped with a loudspeaker alarm 31 and a large display screen 32. The top of the box is equipped with a temperature and humidity sensor 33, and the main control board 34 is located inside the box. The power supply mechanism 4 includes two photovoltaic panels 41 installed on the ceiling 15 and an energy storage battery 42 installed in the main control box 3.

[0023] Implementation method 2: such as Figure 2 As shown, the LED infrared light emitter 22 of this highway fog automatic detection and grading alarm device is installed and fixed at a 30° downward tilt from the horizontal plane, and the probe of the visibility meter 21 is located in the optical path of the LED infrared light emitter 22. The remaining structures and components are as described in Embodiment 1 and will not be described again.

[0024] Implementation method 3: such as Figure 3 As shown, the main control board 34 of this highway fog automatic detection and grading alarm device integrates a processor, an RS485 interface module, a voice driver module, a display driver module, a voltage regulator module, a power conversion module, a storage module, and a wireless data transmission module. The signal output terminals of the visibility meter 21, the binocular camera 23, and the temperature and humidity sensor 33 are connected to the processor input terminal via an RS485 interface module. The processor output terminal is connected to the loudspeaker alarm 31 and the large display screen 32 via the voice driver module and the display driver module, respectively. The storage module and the wireless data transmission module are serially connected to the processor. The photovoltaic panel 41 is connected to the charging terminal of the energy storage battery 42 via the voltage regulator module. The discharging terminal of the energy storage battery 42 supplies DC 3.3-5V operating voltage to the processor and the wireless data transmission module via the power conversion module, DC 12V operating voltage to the visibility meter 21, the LED infrared emitter 22, and the binocular camera 23, and DC 9V operating voltage to the loudspeaker alarm 31 and the large display screen 32. The remaining structures and components are as described in Embodiment 1 and will not be repeated.

[0025] During operation: The main control board controls the LED infrared emitter to emit infrared light. After passing through fog, the light is received by the visibility meter probe, which converts the received light loss into visibility parameters and sends them to the main control board. The data is then output to the display screen. When the visibility parameter is lower than the preset threshold in the storage module, the processor activates the binocular camera to collect on-site road conditions and activates the voice driver module to drive the loudspeaker alarm to issue a voice alarm. Simultaneously, based on the output data range, the display driver module is activated to drive the large display screen, displaying the data as large, brightly colored, and flashing numbers (red flashing when visibility is below 50 meters; orange flashing when visibility is between 50 and 200 meters; yellow flashing when visibility is between 200 and 500 meters). The system then uses voice alarms and prominent large-screen data display to remind oncoming vehicles to slow down; in addition, it sends road condition videos to the remote monitoring terminal via a wireless data transmission module for the monitoring terminal to determine the level of danger and make decisions; the LED infrared light emitters, set at a 30° angle, provide sufficient scattering fan while ensuring that the emitted light does not interfere with each other, thereby ensuring that the probe receives reasonable light and the visibility meter outputs accurate data; the photovoltaic panel collects solar energy and converts it into current, which is then processed by the voltage regulation and charging module to charge the energy storage battery. The energy storage battery discharges and is converted by the power conversion module to DC3.3-5V to power the main control board components, DC12V to power the visibility meter, LED infrared light emitters, and binocular camera, and DC9V to power the display screen and loudspeaker.

[0026] This automatic fog detection and grading alarm device for highways features a high degree of structural integrity, facilitates temporary deployment and relocation, and eliminates the need for fixed-point installation and wiring. It is convenient for temporary deployment and regional relocation in areas where fog occurs along highways. While collecting visibility data in the deployment area in real time, it can simultaneously collect on-site road condition video. Based on data thresholds, it can automatically select on-site alarms, large-screen color data flashing, and data prompts. The data is then transmitted wirelessly to the back-end for centralized monitoring and analysis to determine the grading level, guiding subsequent calibration and verification.

[0027] The above description illustrates the main features, basic principles, and advantages of this utility model. It will be apparent to those skilled in the art that this utility model is not limited to the details of the exemplary embodiments or examples described above, and that it can be implemented in other specific forms without departing from the spirit or basic characteristics of this utility model. Therefore, the above embodiments or examples should be considered exemplary and not restrictive. The scope of this utility model is defined by the appended claims rather than the foregoing description, and therefore all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this utility model. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0028] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An automatic detection and grading alarm device for fog conditions on highways, characterized in that: The utility model relates to a kind of fog visibility detection device, including the rack (1) placed on both sides of highway, the acquisition mechanism (2) for detecting fog visibility installed in the rack (1), and main control box (3) and power supply mechanism (4), the main control box (3) is connected with acquisition mechanism (2) and power supply for it, and the power supply mechanism (4) is electrically connected with main control box (3) and charges for it; The rack (1) includes a base (11), a vertical pole (12) mounted on the base, and a U-shaped beam (13) fixed to the top of the vertical pole (12), a pair of support poles (14) arranged on the beam (13), and a V-shaped ceiling (15) arranged on the support poles (14); the acquisition mechanism (2) includes a visibility meter (21) detachably hung in the center of the beam (13), a pair of LED infrared light emitters (22) mounted at both ends of the beam (13), and a binocular camera (23) fixed between the beam support poles; the main control box (3) is fixed to the vertical pole (12) and located below the acquisition mechanism (2), the front of the box is provided with a loudspeaker alarm (31) and a display screen (32), the top of the box is provided with a temperature and humidity sensor (33), and the box is provided with a main control board (34); the power supply mechanism (4) includes two photovoltaic panels (41) laid on the ceiling (15) and an energy storage battery (42) arranged in the main control box (3).

2. The automatic detection, grading and alarm device for fog condition on expressway according to claim 1, characterized in that: The LED infrared light emitters (22) are installed at an angle of 30° downward from the horizontal plane, and the probe of the visibility meter (21) is located on the light path of the LED infrared light emitters (22).

3. The automatic detection, grading and alarm device for fog condition on expressway according to claim 2, characterized in that: The main control board (34) is integrated with a processor, an RS485 interface module, a voice driving module, a display driving module, a voltage stabilizing and charging module, a power conversion module, a storage module, and a wireless data transmission module.

4. The automatic detection, grading and alarm system for fog condition on expressway according to claim 3, characterized in that: The signal output ends of the visibility meter (21), the binocular camera (23), and the temperature and humidity sensor (33) are respectively connected to the input end of the processor through an RS485 interface module, the output end of the processor is respectively connected to the loudspeaker alarm (31) and the display screen (32) through the voice driving module and the display driving module, and the storage module and the wireless data transmission module are serially connected to the processor.

5. The automatic detection, classification and alarm system for fog condition on expressway according to claim 4, characterized in that: The photovoltaic panels (41) are connected to the charging end of the energy storage battery (42) through the voltage stabilizing and charging module, the discharge end of the energy storage battery (42) is respectively connected to the processor and the wireless data transmission module through the power conversion module to supply DC3.3-5V working voltage, and the visibility meter (21), the LED infrared light emitters (22), and the binocular camera (23) are supplied with DC12V working voltage, the loudspeaker alarm (31) and the display screen (32) are supplied with DC9V working voltage.

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