Nine-in-one multifunctional pedestrian light traffic warning system

Abstract

The present invention discloses a nine-in-one multifunctional pedestrian light traffic warning system, which relates to the field of traffic management technology, and includes an environment monitoring module, wherein the environment monitoring module is used to obtain environmental change information; and a shooting module, wherein the shooting module is used to collect images of sidewalks and roadways, and obtain sidewalk images and roadway images. The present invention monitors the environment near the sidewalk through the environment monitoring module, and when the environment changes, the environment is collected by the shooting module. The collected images and videos are analyzed by the image analysis module and the environment analysis module to determine real-time road information, and the passage time of the nine-in-one multifunctional pedestrian light is determined according to the analysis of the real-time road information, and the vehicle speed limit information and vehicle distance information are displayed through the broadcast module and the display module, so that pedestrians and vehicles have sufficient time to pass through the section of road, and the probability of traffic accidents and traffic jams is also reduced.

Description

Technical Field

[0001] The invention relates to the technical field of traffic management, and in particular to a nine-in-one multifunctional pedestrian light traffic warning system. Background Art

[0002] A crosswalk is a place on the road marked with zebra crossings or other markings or other methods to specify the walking area for pedestrians to cross the road. It is to prevent fast-moving vehicles from injuring pedestrians, and the markings on the road specify the place where vehicles need to slow down to let pedestrians pass.

[0003] In order to avoid pedestrians and motor vehicles competing for the right of way, traffic lights are usually installed on both sides of the crosswalk to regulate the passage of pedestrians and motor vehicles. The traffic management of motor vehicles is relatively strict. With the help of traffic light control and monitoring measures at intersections, motor vehicles can usually better abide by traffic regulations, while pedestrians and non-motor vehicles are more likely to violate traffic regulations.

[0004] Setting up warning signs or other warning information to regulate pedestrian traffic awareness has little effect, and illegal crossing of pedestrians and non-motor vehicles is still common. Traffic management personnel on duty consumes manpower and material resources. In addition, due to weather factors, crosswalks may become slippery, slowing down pedestrians' travel speed while keeping the travel time unchanged, making it impossible for pedestrians or vehicles to pass through completely, resulting in traffic congestion. Summary of the invention

[0005] In order to solve the above technical problems, a nine-in-one multifunctional pedestrian light traffic warning system is provided. This technical solution solves the problem proposed in the above background technology that pedestrian traffic awareness is regulated by setting warning signs or other warning information, but the effect is very limited, and the illegal crossing of pedestrians and non-motor vehicles is still relatively common. The way of traffic management personnel on duty consumes manpower and material resources. In addition, due to weather factors, the crosswalk may become slippery, slowing down the speed of pedestrians, while the travel time remains unchanged, making it impossible for pedestrians or vehicles to pass completely, resulting in traffic congestion.

[0006] In order to achieve the above purpose, the technical solution adopted by the present invention is: The nine-in-one multifunctional pedestrian light traffic warning system includes: An environment monitoring module, the environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light and obtain environment change information, wherein the environment change information is specifically any one or any combination of the first environment change information or the second environment change information; A shooting module, the shooting module is used to collect images of the sidewalk and the roadway, and obtain images of the sidewalk and the roadway. The shooting module collects video of the environment near the nine-in-one multifunctional pedestrian light according to the environmental change information, and obtains the environmental video to be analyzed; An image preprocessing module, which is used to preprocess the sidewalk image and the roadway image to obtain an enhanced sidewalk image and an enhanced roadway image, wherein the image preprocessing includes graying, filtering, denoising, and enhancement; An image analysis module, wherein the image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively to obtain vehicle information and pedestrian information; An environment analysis module, wherein the environment analysis module analyzes the environment video to be analyzed to obtain real-time road information, wherein the real-time road information is specifically any one or more of temperature data, visibility information, and road slipperiness coefficient; A data generation module, wherein the data generation module generates pedestrian travel time by analyzing pedestrian information, and generates vehicle speed limit information and vehicle distance information by analyzing temperature data, visibility information, road slip coefficient and vehicle information; A display module, the display module is used to display temperature data, visibility information, road slipperiness coefficient, vehicle speed limit information, and vehicle distance information; A lighting module, wherein the lighting module selects a state of a lighting lamp according to the visibility information, wherein the state of the lighting lamp is either on or off; A broadcast module, which broadcasts according to temperature data, visibility information, road slip coefficient, vehicle speed limit information, and vehicle distance information; A control module is used to realize information interaction and data transmission between modules. The control module controls the passage change time of the nine-in-one multifunctional pedestrian light according to the pedestrian passage time.

[0007] Preferably, the environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light, and obtaining the environment change information specifically includes the following steps: The temperature sensor is used to collect the ambient temperature of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time temperature data; Perform judgment processing based on real-time temperature data and a set first threshold; If the real-time temperature data is greater than or equal to the set first threshold, there is no need to use the camera module to collect video of the environment near the nine-in-one multifunctional pedestrian light; If the real-time temperature data is greater than the set first threshold value and greater than the set second threshold value, high temperature information is output, and the broadcast is performed according to the high temperature information; If the real-time temperature data is less than a set first threshold, obtaining first environmental change information; The humidity sensor is used to collect the ambient humidity of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time humidity data; Perform judgment processing based on real-time humidity data and a set third threshold value; If the real-time humidity data is greater than the set third threshold, obtaining the second environmental change information; If the real-time humidity data is less than or equal to the set third threshold, there is no need to use the shooting module to collect video of the environment in the area near the nine-in-one multifunctional pedestrian lamp.

[0008] Preferably, the image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively, and obtaining vehicle information and pedestrian information specifically includes the following steps: Obtain sidewalk length information and sidewalk historical data information; The feature extraction of enhanced sidewalk image and enhanced roadway image is performed by spot detection algorithm to obtain the real-time vehicle distance, real-time vehicle speed and pedestrian position. Analyze and process the historical data of the sidewalk to obtain the pedestrian pace speed, wherein the pedestrian pace speed includes the first slowest pedestrian pace speed and the second slowest pedestrian pace speed; The real-time vehicle distance, real-time vehicle speed, pedestrian position, and pedestrian pace speed are collected and processed to obtain vehicle information and pedestrian information.

[0009] Preferably, the analyzing and processing of the pedestrian historical data information to obtain the pedestrian's pace speed specifically comprises the following steps: Extract and process the historical data information of the sidewalk based on the first environmental change information to obtain the first slowest pedestrian pace speed corresponding to the first environmental change information; The historical data information of the sidewalk is extracted and processed based on the second environmental change information to obtain the second slowest pedestrian pace speed corresponding to the second environmental change information.

[0010] Preferably, the environment analysis module analyzes the environment video to be analyzed, and obtaining real-time road information specifically includes the following steps: Divide the space in the environment video to be analyzed into unit grids to obtain unit space; Performing analysis and processing based on the environmental video to be analyzed to obtain environmental information, wherein the environmental information is any one or any two of rain and snow; Analyze and process environmental information to obtain real-time road information.

[0011] Preferably, the step of analyzing and processing the environmental information to obtain real-time road information specifically includes the following steps: If the environmental information is snowing; Perform statistical calculations on the snowflakes in all unit spaces to obtain the snowfall amount; Analyze the environment video to be analyzed and determine the first farthest clear image; Get the parameter information and configuration information of the shooting module; Based on the parameter information and configuration information of the shooting module, a first farthest clear image is calculated and analyzed to obtain first visibility information; If the environmental information is raining; Perform statistical calculations on raindrops in all unit spaces to obtain rainfall; Analyze the environment video to be analyzed and determine the second farthest clear image; Based on the parameter information and configuration information of the shooting module, the second farthest clear image is calculated and analyzed to obtain second visibility information; If the environmental information is raining and snowing; Perform statistical calculations on raindrops and snowflakes in all unit spaces to obtain the amount of rain and snow; Analyze the environment video to be analyzed and determine the third farthest clear image; Based on the parameter information and configuration information of the shooting module, the third farthest clear image is calculated and analyzed to obtain third visibility information; The road slipperiness coefficient is obtained by analyzing the amount of rainfall or snowfall or the amount of rain and snow.

[0012] Preferably, the analysis based on rainfall or snowfall or rain and snow to obtain the road slippery coefficient specifically includes the following steps: Obtain the communication protocol of the database, and the control module establishes a communication connection with the database according to the communication protocol of the database; Retrieving the stored data in the database based on the rainfall to determine a first road slippery coefficient corresponding to the rainfall; Retrieving the stored data in the database based on the snowfall to determine a second road slippery coefficient corresponding to the snowfall; Based on the amount of rain and snow, the stored data in the database is retrieved to determine a third road slippery coefficient corresponding to the amount of rain and snow.

[0013] Preferably, the data generation module performs analysis based on pedestrian information to generate pedestrian travel time, specifically comprising the following steps: if the environmental information is snowing; Calculate and process the first slowest pedestrian's pace and the sidewalk length information to obtain a first passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain first offset data; Calculate according to the first slowest pedestrian pace speed and the first offset data to obtain a first compensation time; Correcting the first passing time based on the first compensation time to obtain a corrected first passing time; If the environmental information is raining; Calculate and process the second slowest pedestrian's pace and the sidewalk length information to obtain the second passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain second offset data; Calculate according to the second slowest pedestrian's pace speed and the second offset data to obtain a second compensation time; Correcting the second passing time based on the second compensation time to obtain a corrected second passing time; If the environmental information is raining and snowing; Compare the first slowest pedestrian's pace speed with the second slowest pedestrian's pace speed to obtain the third slowest pedestrian's pace speed; Calculate and process the third slowest pedestrian's pace and the sidewalk length information to obtain the third passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain third offset data; Calculate according to the third slowest pedestrian pace speed and the third offset data to obtain a third compensation time; The third transit time is corrected based on the third compensation time to obtain a corrected third transit time.

[0014] Preferably, the step of comparing the first slowest pedestrian pace speed with the second slowest pedestrian pace speed to obtain the third slowest pedestrian pace speed specifically comprises the following steps: Determine the first slowest pedestrian's pace speed and the second slowest pedestrian's pace speed; If the first slowest pedestrian's pace is greater than the second slowest pedestrian's pace, the second slowest pedestrian's pace is set to the third slowest pedestrian's pace; If the first slowest pedestrian's pace speed is slower than the second slowest pedestrian's pace speed, the first slowest pedestrian's pace speed is set as the third slowest pedestrian's pace speed.

[0015] Preferably, the data generation module generates vehicle speed limit information and vehicle distance information by analyzing the temperature data, visibility information, road slipperiness coefficient and vehicle information, specifically comprising the following steps: Retrieve and process the database according to the temperature data, the first visibility information and the first road slippery coefficient to determine the first vehicle speed limit information and the first vehicle distance information; Retrieve the database according to the temperature data, the second visibility information and the second road slippery coefficient to determine the second vehicle speed limit information and the second vehicle distance information; The database is searched and processed according to the temperature data, the third visibility information and the third road slippery coefficient to determine the third vehicle speed limit information and the third vehicle distance information.

[0016] Compared with the prior art, the present invention provides a nine-in-one multifunctional pedestrian light traffic warning system, which has the following beneficial effects: The present invention monitors the environment near the sidewalk through the environment monitoring module. When the environment changes, the environment is collected by the shooting module. The collected images and videos are analyzed by the image analysis module and the environment analysis module to determine the real-time road information. The passage time of the nine-in-one multifunctional pedestrian light is determined according to the analysis of the real-time road information, and the vehicle speed limit information and vehicle distance information are displayed through the broadcast module and the display module, so that pedestrians and vehicles have sufficient time to pass through the section of road, while also reducing the probability of traffic accidents and the probability of traffic jams. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a structural block diagram of the nine-in-one multifunctional pedestrian light traffic warning system proposed by the present invention; Figure 2 It is a schematic diagram of the process of obtaining environmental change information through the environmental monitoring module in the present invention; Figure 3 A schematic diagram of the process of obtaining vehicle information and pedestrian information through an image analysis module in the present invention; Figure 4 A schematic diagram of a process for obtaining the pedestrian's pace speed in the present invention; Figure 5 It is a schematic diagram of the process of obtaining real-time road information through the environment analysis module in the present invention; Figure 6 It is a schematic diagram of the process of analyzing and processing according to environmental information in the present invention; Figure 7 A schematic diagram of a process for obtaining a road slippery coefficient in the present invention; Figure 8 A schematic diagram of a process of generating pedestrian travel time by a data generation module in the present invention; Fig. 9 A schematic diagram of a process for obtaining the third slowest pedestrian's pace speed in the present invention; Fig.10 The figure is a flow chart of generating vehicle speed limit information and vehicle distance information by a data generating module in the present invention. DETAILED DESCRIPTION

[0018] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0019] Reference Figure 1 As shown, the nine-in-one multifunctional pedestrian light traffic warning system includes: An environment monitoring module, the environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light and obtain environment change information, wherein the environment change information is specifically any one or any combination of the first environment change information or the second environment change information; A shooting module, the shooting module is used to collect images of the sidewalk and the roadway, and obtain images of the sidewalk and the roadway. The shooting module collects video of the environment near the nine-in-one multifunctional pedestrian light according to the environmental change information, and obtains the environmental video to be analyzed; An image preprocessing module, which is used to preprocess the sidewalk image and the roadway image to obtain an enhanced sidewalk image and an enhanced roadway image, wherein the image preprocessing includes graying, filtering, denoising, and enhancement; An image analysis module, wherein the image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively to obtain vehicle information and pedestrian information; An environment analysis module, wherein the environment analysis module analyzes the environment video to be analyzed to obtain real-time road information, wherein the real-time road information is specifically any one or more of temperature data, visibility information, and road slipperiness coefficient; A data generation module, wherein the data generation module generates pedestrian travel time by analyzing pedestrian information, and generates vehicle speed limit information and vehicle distance information by analyzing temperature data, visibility information, road slip coefficient and vehicle information; A display module, the display module is used to display temperature data, visibility information, road slipperiness coefficient, vehicle speed limit information, and vehicle distance information; A lighting module, wherein the lighting module selects a state of a lighting lamp according to the visibility information, wherein the state of the lighting lamp is either on or off; A broadcast module, which broadcasts according to temperature data, visibility information, road slip coefficient, vehicle speed limit information, and vehicle distance information; A control module, which is used to realize information interaction and data transmission between modules, and controls the passage change time of the nine-in-one multifunctional pedestrian light according to the passage time of pedestrians; Those skilled in the art can understand that when the environment changes, the pace of pedestrians and the speed of vehicles will change, but pedestrians and vehicle drivers cannot accurately judge the road slippery coefficient. Therefore, by analyzing the environment near the nine-in-one multifunctional pedestrian light, the road slippery coefficient is determined, and the vehicle speed limit information, vehicle distance information and pedestrian travel time are determined according to the road slippery coefficient, so that vehicles and pedestrians have enough time to pass the road section, thereby reducing the probability of traffic accidents.

[0020] Reference Figure 2 As shown, the environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light, and obtaining environmental change information specifically includes the following steps: The temperature sensor is used to collect the ambient temperature of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time temperature data; Perform judgment processing based on real-time temperature data and a set first threshold; If the real-time temperature data is greater than or equal to the set first threshold, there is no need to use the camera module to collect video of the environment near the nine-in-one multifunctional pedestrian light; If the real-time temperature data is greater than the set first threshold value and greater than the set second threshold value, high temperature information is output, and the broadcast is performed according to the high temperature information; If the real-time temperature data is less than a set first threshold, obtaining first environmental change information; The humidity sensor is used to collect the ambient humidity of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time humidity data; Perform judgment processing based on real-time humidity data and a set third threshold value; If the real-time humidity data is greater than the set third threshold, obtaining the second environmental change information; If the real-time humidity data is less than or equal to the set third threshold, there is no need to collect video of the environment near the nine-in-one multifunctional pedestrian light through the shooting module; In this embodiment, when it is raining or snowing in the surrounding environment and the real-time temperature is too low, the road may freeze and pedestrians or vehicles may slip. Therefore, the ambient temperature near the nine-in-one multifunctional pedestrian light is monitored by a temperature sensor. When the temperature is too low, the shooting module collects images and videos near the nine-in-one multifunctional pedestrian light to determine whether it is raining or snowing. If it is raining or snowing, it is analyzed to determine the road slippery coefficient to avoid traffic accidents and road congestion. If the temperature is too high, the broadcast will remind pedestrians of the high temperature weather to avoid heat stroke and protect the lives of pedestrians.

[0021] Reference Figure 3As shown, the image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively, and obtaining vehicle information and pedestrian information specifically includes the following steps: Obtain sidewalk length information and sidewalk historical data information; The feature extraction of enhanced sidewalk image and enhanced roadway image is performed by spot detection algorithm to obtain the real-time vehicle distance, real-time vehicle speed and pedestrian position. Analyze and process the historical data of the sidewalk to obtain the pedestrian pace speed, wherein the pedestrian pace speed includes the first slowest pedestrian pace speed and the second slowest pedestrian pace speed; The real-time vehicle distance, real-time vehicle speed, pedestrian position, and pedestrian pace speed are processed together to obtain vehicle information and pedestrian information; Those skilled in the art will understand that different weather conditions cause pedestrians to take different paces, and vehicle speeds will also vary. Therefore, based on analysis of historical pedestrian data information, the pace of pedestrians in different weather conditions can be determined, which provides a reference for the subsequent generation of pedestrian travel time. In addition, the slowest pedestrian pace is obtained so that all pedestrians near the nine-in-one multifunctional pedestrian light can pass through the section.

[0022] Reference Figure 4 As shown, the analysis and processing of the historical data of the sidewalk to obtain the pedestrian's pace speed specifically includes the following steps: Extract and process the historical data information of the sidewalk based on the first environmental change information to obtain the first slowest pedestrian pace speed corresponding to the first environmental change information; The historical data information of the sidewalk is extracted and processed based on the second environmental change information to obtain the second slowest pedestrian pace speed corresponding to the second environmental change information.

[0023] Reference Figure 5 As shown in the figure, the environment analysis module analyzes the environment video to be analyzed, and obtaining real-time road information specifically includes the following steps: Divide the space in the environment video to be analyzed into unit grids to obtain unit space; Performing analysis and processing based on the environmental video to be analyzed to obtain environmental information, wherein the environmental information is any one or any two of rain and snow; Analyze and process environmental information to obtain real-time road information.

[0024] Reference Figure 6 As shown, the analysis and processing of environmental information to obtain real-time road information specifically includes the following steps: If the environmental information is snowing; Perform statistical calculations on the snowflakes in all unit spaces to obtain the snowfall amount; Analyze the environment video to be analyzed and determine the first farthest clear image; Get the parameter information and configuration information of the shooting module; Based on the parameter information and configuration information of the shooting module, a first farthest clear image is calculated and analyzed to obtain first visibility information; If the environmental information is raining; Perform statistical calculations on raindrops in all unit spaces to obtain rainfall; Analyze the environment video to be analyzed and determine the second farthest clear image; Based on the parameter information and configuration information of the shooting module, the second farthest clear image is calculated and analyzed to obtain second visibility information; If the environmental information is raining and snowing; Perform statistical calculations on raindrops and snowflakes in all unit spaces to obtain the amount of rain and snow; Analyze the environment video to be analyzed and determine the third farthest clear image; Based on the parameter information and configuration information of the shooting module, the third farthest clear image is calculated and analyzed to obtain third visibility information; Analyze the amount of rainfall or snowfall or rain and snow to obtain the road slipperiness coefficient; Those skilled in the art will appreciate that the space in the environment video to be analyzed is divided into units, and the raindrops or snowflakes in each unit space are statistically calculated to determine the rainfall or snowfall, and the road slipperiness coefficient is determined based on the rainfall or snowfall. In addition, the depth coefficient of the environment video to be analyzed is calculated through the parameter information and configuration information of the shooting module to determine the visibility information. It is worth noting that the depth coefficient represents the real distance between the shooting device and the actual environment. Therefore, the visibility information can be determined by calculating and determining the depth coefficient through the parameter information and configuration information of the shooting module. It is worth noting that in this embodiment, the surrounding environment is captured by the shooting device and then the video is analyzed. It can be understood that the video is composed of a combination of several images. Therefore, the video is disassembled to obtain an image of the combined video, and then the snowflakes or raindrops in each image are counted to obtain the rainfall and the amount of rain and snow.

[0025] Reference Figure 7 As shown, based on the analysis of rainfall or snowfall or rain and snow, obtaining the road slippery coefficient specifically includes the following steps: Obtain the communication protocol of the database, and the control module establishes a communication connection with the database according to the communication protocol of the database; Retrieving the stored data in the database based on the rainfall to determine a first road slippery coefficient corresponding to the rainfall; Retrieving the stored data in the database based on the snowfall to determine a second road slippery coefficient corresponding to the snowfall; Retrieving the stored data in the database based on the amount of rain and snow to determine a third road slippery coefficient corresponding to the amount of rain and snow; In this embodiment, the historical data of the area is known. When the rainfall is determined, the database stores the road slippery coefficients corresponding to different rainfall amounts. It only needs to input the rainfall into the database to obtain the output road slippery coefficient. The database stores the road slippery coefficients corresponding to different weather conditions. Therefore, the control module establishes a communication connection with the database, and uses the rainfall or snowfall as a feature to search the database to determine the corresponding road slippery coefficient. The pedestrian pace speed, vehicle speed limit information, and vehicle spacing are determined based on the road slippery coefficient.

[0026] Reference Figure 8 As shown, the data generation module analyzes pedestrian information and generates pedestrian travel time, which specifically includes the following steps: If the environmental information is snowing; Calculate and process the first slowest pedestrian's pace and the sidewalk length information to obtain a first passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain first offset data; Calculate according to the first slowest pedestrian pace speed and the first offset data to obtain a first compensation time; Correcting the first passing time based on the first compensation time to obtain a corrected first passing time; If the environmental information is raining; Calculate and process the second slowest pedestrian's pace and the sidewalk length information to obtain the second passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain second offset data; Calculate according to the second slowest pedestrian's pace speed and the second offset data to obtain a second compensation time; Correcting the second passing time based on the second compensation time to obtain a corrected second passing time; If the environmental information is raining and snowing; Compare the first slowest pedestrian's pace speed with the second slowest pedestrian's pace speed to obtain the third slowest pedestrian's pace speed; Calculate and process the third slowest pedestrian's pace and the sidewalk length information to obtain the third passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain third offset data; Calculate according to the third slowest pedestrian pace speed and the third offset data to obtain a third compensation time; Correcting the third passing time based on the third compensation time to obtain a corrected third passing time; It can be understood by those skilled in the art that in order to allow pedestrians near the sidewalk to pass through this section of road, it is necessary to set the passing time of the nine-in-one multifunctional pedestrian light. However, some pedestrians are a certain distance away from the nine-in-one multifunctional pedestrian light. Therefore, the pedestrian position farthest from the nine-in-one multifunctional pedestrian light is selected, and the distance is calculated according to the pedestrian's pace speed to determine the correction time, thereby ensuring that all pedestrians can pass through the sidewalk.

[0027] Reference Fig. 9 As shown, the first slowest pedestrian pace speed and the second slowest pedestrian pace speed are compared and processed to obtain the third slowest pedestrian pace speed, which specifically includes the following steps: Determine the first slowest pedestrian's pace speed and the second slowest pedestrian's pace speed; If the first slowest pedestrian's pace is greater than the second slowest pedestrian's pace, the second slowest pedestrian's pace is set to the third slowest pedestrian's pace; If the first slowest pedestrian's pace speed is slower than the second slowest pedestrian's pace speed, the first slowest pedestrian's pace speed is set as the third slowest pedestrian's pace speed.

[0028] Reference Fig.10 As shown, the data generation module analyzes the temperature data, visibility information, road slipperiness coefficient and vehicle information to generate vehicle speed limit information and vehicle distance information, which specifically includes the following steps: Retrieve and process the database according to the temperature data, the first visibility information and the first road slippery coefficient to determine the first vehicle speed limit information and the first vehicle distance information; Retrieve the database according to the temperature data, the second visibility information and the second road slippery coefficient to determine the second vehicle speed limit information and the second vehicle distance information; Retrieve and process the database according to the temperature data, the third visibility information and the third road slippery coefficient to determine the third vehicle speed limit information and the third vehicle distance information; In this embodiment, the speed and distance between vehicles are limited according to different weather conditions, which reduces the probability of traffic accidents and also ensures the safety of nearby pedestrians.

[0029] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. The nine-in-one multifunctional pedestrian light traffic warning system is characterized by: include: An environment monitoring module, the environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light and obtain environment change information, wherein the environment change information is specifically any one or any combination of the first environment change information or the second environment change information; A shooting module, the shooting module is used to collect images of the sidewalk and the roadway, and obtain images of the sidewalk and the roadway. The shooting module collects video of the environment near the nine-in-one multifunctional pedestrian light according to the environmental change information, and obtains the environmental video to be analyzed; An image preprocessing module, which is used to preprocess the sidewalk image and the roadway image to obtain an enhanced sidewalk image and an enhanced roadway image, wherein the image preprocessing includes graying, filtering, denoising, and enhancement; An image analysis module, wherein the image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively to obtain vehicle information and pedestrian information; An environment analysis module, wherein the environment analysis module analyzes the environment video to be analyzed to obtain real-time road information, wherein the real-time road information is specifically any one or more of temperature data, visibility information, and road slipperiness coefficient; A data generation module, wherein the data generation module generates pedestrian travel time by analyzing pedestrian information, and generates vehicle speed limit information and vehicle distance information by analyzing temperature data, visibility information, road slip coefficient and vehicle information; A display module, the display module is used to display temperature data, visibility information, road slipperiness coefficient, vehicle speed limit information, and vehicle distance information; A lighting module, wherein the lighting module selects a state of a lighting lamp according to the visibility information, wherein the state of the lighting lamp is either on or off; A broadcast module, which broadcasts according to temperature data, visibility information, road slip coefficient, vehicle speed limit information, and vehicle distance information; A control module is used to realize information interaction and data transmission between modules. The control module controls the passage change time of the nine-in-one multifunctional pedestrian light according to the pedestrian passage time.

2. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 1 is characterized in that: The environment monitoring module is used to monitor the environment of the area near the nine-in-one multifunctional pedestrian light, and obtaining environmental change information specifically includes the following steps: The temperature sensor is used to collect the ambient temperature of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time temperature data; Perform judgment processing based on real-time temperature data and a set first threshold; If the real-time temperature data is greater than or equal to the set first threshold, there is no need to use the camera module to collect video of the environment near the nine-in-one multifunctional pedestrian light; If the real-time temperature data is greater than the set first threshold value and greater than the set second threshold value, high temperature information is output, and the broadcast is performed according to the high temperature information; If the real-time temperature data is less than a set first threshold, obtaining first environmental change information; The humidity sensor is used to collect the ambient humidity of the area near the nine-in-one multifunctional pedestrian light in real time to obtain real-time humidity data; Perform judgment processing based on real-time humidity data and a set third threshold value; If the real-time humidity data is greater than the set third threshold, obtaining the second environmental change information; If the real-time humidity data is less than or equal to the set third threshold, there is no need to use the shooting module to collect video of the environment in the area near the nine-in-one multifunctional pedestrian lamp.

3. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 1 is characterized in that: The image analysis module analyzes the enhanced sidewalk image and the enhanced roadway image respectively, and obtains vehicle information and pedestrian information, specifically including the following steps: Obtain sidewalk length information and sidewalk historical data information; The feature extraction of enhanced sidewalk image and enhanced roadway image is performed by spot detection algorithm to obtain the real-time vehicle distance, real-time vehicle speed and pedestrian position. Analyze and process the historical data of the sidewalk to obtain the pedestrian pace speed, wherein the pedestrian pace speed includes the first slowest pedestrian pace speed and the second slowest pedestrian pace speed; The real-time vehicle distance, real-time vehicle speed, pedestrian position, and pedestrian pace speed are collected and processed to obtain vehicle information and pedestrian information.

4. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 3 is characterized in that: The analysis and processing of the pedestrian historical data information to obtain the pedestrian's pace speed specifically includes the following steps: Extract and process the historical data information of the sidewalk based on the first environmental change information to obtain the first slowest pedestrian pace speed corresponding to the first environmental change information; The historical data information of the sidewalk is extracted and processed based on the second environmental change information to obtain the second slowest pedestrian pace speed corresponding to the second environmental change information.

5. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 1 is characterized in that: The environment analysis module analyzes the environment video to be analyzed, and obtaining real-time road information specifically includes the following steps: Divide the space in the environment video to be analyzed into unit grids to obtain unit space; Performing analysis and processing based on the environmental video to be analyzed to obtain environmental information, wherein the environmental information is any one or any two of rain and snow; Analyze and process environmental information to obtain real-time road information.

6. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 5 is characterized in that: The analysis and processing based on the environmental information to obtain real-time road information specifically includes the following steps: If the environmental information is snowing; Perform statistical calculations on the snowflakes in all unit spaces to obtain the snowfall amount; Analyze the environment video to be analyzed and determine the first farthest clear image; Get the parameter information and configuration information of the shooting module; Based on the parameter information and configuration information of the shooting module, a first farthest clear image is calculated and analyzed to obtain first visibility information; If the environmental information is raining; Perform statistical calculations on raindrops in all unit spaces to obtain rainfall; Analyze the environment video to be analyzed and determine the second farthest clear image; Based on the parameter information and configuration information of the shooting module, the second farthest clear image is calculated and analyzed to obtain second visibility information; If the environmental information is raining and snowing; Perform statistical calculations on raindrops and snowflakes in all unit spaces to obtain the amount of rain and snow; Analyze the environment video to be analyzed and determine the third farthest clear image; Based on the parameter information and configuration information of the shooting module, the third farthest clear image is calculated and analyzed to obtain third visibility information; The road slipperiness coefficient is obtained by analyzing the amount of rainfall or snowfall or the amount of rain and snow.

7. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 6 is characterized in that: The analysis based on rainfall or snowfall or rain and snow to obtain the road slippery coefficient specifically includes the following steps: Obtain the communication protocol of the database, and the control module establishes a communication connection with the database according to the communication protocol of the database; Retrieving the stored data in the database based on the rainfall to determine a first road slippery coefficient corresponding to the rainfall; Retrieving the stored data in the database based on the snowfall to determine a second road slippery coefficient corresponding to the snowfall; Based on the amount of rain and snow, the stored data in the database is retrieved to determine a third road slippery coefficient corresponding to the amount of rain and snow.

8. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 1 is characterized in that: The data generation module analyzes the pedestrian information and generates the pedestrian travel time, which specifically includes the following steps: If the environmental information is snowing; Calculate and process the first slowest pedestrian's pace and the sidewalk length information to obtain a first passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain first offset data; Calculate according to the first slowest pedestrian pace speed and the first offset data to obtain a first compensation time; Correcting the first passing time based on the first compensation time to obtain a corrected first passing time; If the environmental information is raining; Calculate and process the second slowest pedestrian's pace and the sidewalk length information to obtain the second passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain second offset data; Calculate according to the second slowest pedestrian's pace speed and the second offset data to obtain a second compensation time; Correcting the second passing time based on the second compensation time to obtain a corrected second passing time; If the environmental information is raining and snowing; Compare the first slowest pedestrian's pace speed with the second slowest pedestrian's pace speed to obtain the third slowest pedestrian's pace speed; Calculate and process the third slowest pedestrian's pace and the sidewalk length information to obtain the third passing time; Analyze and process the positions of pedestrians to determine the pedestrian farthest from the sidewalk and obtain third offset data; Calculate according to the third slowest pedestrian pace speed and the third offset data to obtain a third compensation time; The third transit time is corrected based on the third compensation time to obtain a corrected third transit time.

9. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 8 is characterized in that: The step of comparing the first slowest pedestrian pace speed with the second slowest pedestrian pace speed to obtain the third slowest pedestrian pace speed specifically includes the following steps: Determine the first slowest pedestrian's pace speed and the second slowest pedestrian's pace speed; If the first slowest pedestrian's pace is greater than the second slowest pedestrian's pace, the second slowest pedestrian's pace is set to the third slowest pedestrian's pace; If the first slowest pedestrian's pace speed is slower than the second slowest pedestrian's pace speed, the first slowest pedestrian's pace speed is set as the third slowest pedestrian's pace speed.

10. The nine-in-one multifunctional pedestrian light traffic warning system according to claim 1 is characterized in that: The data generation module generates vehicle speed limit information and vehicle distance information by analyzing the temperature data, visibility information, road slipperiness coefficient and vehicle information, and specifically includes the following steps: Retrieve and process the database according to the temperature data, the first visibility information and the first road slippery coefficient to determine the first vehicle speed limit information and the first vehicle distance information; Retrieve the database according to the temperature data, the second visibility information and the second road slippery coefficient to determine the second vehicle speed limit information and the second vehicle distance information; The database is searched and processed according to the temperature data, the third visibility information and the third road slippery coefficient to determine the third vehicle speed limit information and the third vehicle distance information.

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