阅读说明：本技术 一种基于智慧交通物联网的交通监测系统 (Traffic monitoring system based on wisdom traffic thing networking ) 是由 张卫光 于 2021-07-27 设计创作，主要内容包括：本发明属于智慧交通技术领域,具体为一种基于智慧交通物联网的交通监测系统,包括：摄像头模块,所述摄像头模块对交通道路拍摄,获取交通道路的图像信息；音频采集模块,所述音频采集模块对交通道路上的声音采集；分析模块,所述摄像头模块、音频采集模块的输出端与分析模块建立连接,所述摄像头模块、音频采集模块通过有线或者无线的方式将获取交通道路的图像信息、交通道路上的声音输出至分析模块。通过摄像头模块、音频采集模块的配合作用,能够对交通道路上的音频和视频采集,作为分析交通情况；通过在线分析的方式,能够及时将分析结果输出,能够现场扬声警示或者远程报警、医护请求,从而节省时间,能够快速将疏通车辆,处理事故现场。(The invention belongs to the technical field of intelligent traffic, and particularly relates to a traffic monitoring system based on an intelligent traffic Internet of things, which comprises: the camera module shoots a traffic road to acquire image information of the traffic road; the audio acquisition module acquires sounds on a traffic road; the analysis module is connected with the output ends of the camera module and the audio acquisition module, and the camera module and the audio acquisition module output the acquired image information of the traffic road and the sound on the traffic road to the analysis module in a wired or wireless mode. The audio and video on the traffic road can be collected through the cooperation of the camera module and the audio acquisition module to be used for analyzing the traffic condition; through the mode of on-line analysis, can in time export analysis result, can on-the-spot raise one's voice warning or remote alarm, nurse the request to save time, can be fast with dredging the vehicle, handle the accident scene.)

1. The utility model provides a traffic monitoring system based on wisdom traffic thing networking which characterized in that includes:

the camera module shoots a traffic road to acquire image information of the traffic road;

the audio acquisition module acquires sounds on a traffic road;

the analysis module is connected with the output ends of the camera module and the audio acquisition module, and the camera module and the audio acquisition module output the acquired image information of the traffic road and the sound on the traffic road to the analysis module in a wired or wireless mode;

the output end of the analysis module is connected with the police team alarm end, the near-end loudspeaker and the hospital rescue end.

2. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 1, wherein: the camera module coverage area comprises a motor lane and a non-motor lane of a traffic road.

3. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 1, wherein: the analysis module obtains the image information of the traffic road and analyzes the result of the sound transmission on the traffic road, wherein the result comprises three conditions of normal operation, traffic congestion and traffic accidents:

when the analysis result is normal operation, no action is taken;

when the analysis result is traffic congestion, the analysis module controls the near-end loudspeaker to play warning audio, the warning audio plays a warning role in warning vehicles on a traffic road, and the warning audio is pre-recorded;

when the analysis result is a traffic accident, the analysis module takes the image information of the traffic road obtained by the corresponding traffic and the sound on the traffic road as the basis to be transmitted to the police force alarm end and the hospital rescue end, and the police force alarm end and the hospital rescue end determine whether to take police and send out rescue personnel.

4. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 3, wherein: the system also comprises a positioning module, and when the analysis result of the analysis module is a traffic accident, the analysis module simultaneously transmits the positioning information to the police station alarm end and the hospital rescue end.

5. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 3, wherein: the analysis result of the analysis module is that the traffic jam condition is the following conditions:

at least one vehicle in the traffic road is in a standstill in a non-red light condition;

under the condition of non-red light, the distance between vehicles is within 3 meters, and the running speed is less than 1/3 of the maximum speed limit of the traffic road;

the area of the orthographic projection of the vehicles on the section of the traffic road to the traffic road is more than 3/5 of the area of the section of the traffic road.

6. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 5, wherein: the analysis result of the analysis module is that the traffic accident situation is the following situations:

at least one vehicle is stopped on a traffic road, the vehicle, the road or a green belt is damaged around the vehicle, and the passing sound is identified as the occurrence of the impact sound;

at least one vehicle is stopped on the traffic road, casualties around the vehicle are identified through identification and analysis, and the impact sound is identified through sound.

7. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 6, wherein: the police station and the hospital rescue station make a decision whether to take an alarm or not and send out rescue personnel based on the image information of the traffic road, the sound on the traffic road and the analysis result of the analysis module.

8. The traffic monitoring system based on the intelligent traffic internet of things as claimed in claim 6, wherein: and the analysis result of the analysis module is the state when the analysis module is in normal operation, and the traffic road has no traffic accidents or congestion.

Technical Field

The invention relates to the technical field of intelligent traffic, in particular to a traffic monitoring system based on an intelligent traffic Internet of things.

Background

Traffic, which refers to the industry engaged in passenger and cargo transportation and language and text-text transfer, includes both transportation and post and telecommunications, and belongs to the third industry in the national economy. The transportation has five modes of railway, road, water way, air way and pipeline, and the post and telecommunications includes two contents of post and telecommunications.

Urban traffic congestion is a phenomenon in which a vehicle is crowded and the speed of the vehicle is slow, and generally occurs on holidays or on-off peak hours. This situation is common in metropolitan areas of the world, highways connecting two cities, and areas where vehicle usage is high.

The traffic accident refers to an event that the vehicle causes personal injury or property loss on the road due to mistake or accident.

At present, with the remarkable growth of vehicles, traffic jam and traffic accidents on traffic roads can cause unsmooth traffic, and traffic is usually maintained by traffic police on site, and due to the time required by the traffic police to go out, the traffic is easy to further deteriorate, and the time for treating the injured person is greatly increased during the traffic accidents.

Disclosure of Invention

The invention aims to provide a traffic monitoring system based on an intelligent traffic internet of things, which aims to solve the problems that traffic is very unsmooth due to traffic jam on a traffic road and traffic accidents along with the remarkable growth of vehicles in the current stage provided by the background technology, the traffic is usually maintained by a traffic police on site, the traffic police need time for police, the traffic is easy to further deteriorate, and the time for treating injured people is greatly increased during traffic accidents.

In order to achieve the purpose, the invention provides the following technical scheme: a traffic monitoring system based on wisdom traffic thing networking includes:

the camera module shoots a traffic road to acquire image information of the traffic road;

the audio acquisition module acquires sounds on a traffic road;

the analysis module is connected with the output ends of the camera module and the audio acquisition module, and the camera module and the audio acquisition module output the acquired image information of the traffic road and the sound on the traffic road to the analysis module in a wired or wireless mode;

the output end of the analysis module is connected with the police team alarm end, the near-end loudspeaker and the hospital rescue end.

Further, the camera module coverage area comprises a motor lane and a non-motor lane of a traffic road.

Further, the analysis module obtains the image information of the traffic road and analyzes the sound on the traffic road, wherein the analysis result comprises three conditions of normal operation, traffic congestion and traffic accidents:

when the analysis result is normal operation, no action is taken;

when the analysis result is traffic congestion, the analysis module controls the near-end loudspeaker to play warning audio, the warning audio plays a warning role in warning vehicles on a traffic road, and the warning audio is pre-recorded;

when the analysis result is a traffic accident, the analysis module takes the image information of the traffic road obtained by the corresponding traffic and the sound on the traffic road as the basis to be transmitted to the police force alarm end and the hospital rescue end, and the police force alarm end and the hospital rescue end determine whether to take police and send out rescue personnel.

Furthermore, the system also comprises a positioning module, and when the analysis result of the analysis module is a traffic accident, the analysis module simultaneously transmits the positioning information to the police station alarm end and the hospital rescue end.

Further, the analysis result of the analysis module is that the traffic jam condition is the following conditions:

at least one vehicle in the traffic road is in a standstill in a non-red light condition;

under the condition of non-red light, the distance between vehicles is within 3 meters, and the running speed is less than 1/3 of the maximum speed limit of the traffic road;

the area of the orthographic projection of the vehicles on the section of the traffic road to the traffic road is more than 3/5 of the area of the section of the traffic road.

Further, the condition that the analysis result of the analysis module is the traffic accident is the following conditions:

at least one vehicle is stopped on a traffic road, the vehicle, the road or a green belt is damaged around the vehicle, and the passing sound is identified as the occurrence of the impact sound;

at least one vehicle is stopped on the traffic road, casualties around the vehicle are identified through identification and analysis, and the impact sound is identified through sound.

Further, the police team alarm terminal and the hospital rescue terminal make decisions on whether to take an alarm and send out rescue personnel based on image information of a traffic road, sound on the traffic road and an analysis result of the analysis module.

Further, the analysis result of the analysis module is a state when the analysis module is in normal operation, and the traffic road has no traffic accidents or congestion.

Compared with the prior art, the invention has the beneficial effects that:

1) the audio and video on the traffic road can be collected through the cooperation of the camera module and the audio acquisition module to be used for analyzing the traffic condition;

2) through the mode of on-line analysis, can in time export analysis result, can on-the-spot raise one's voice warning or remote alarm, nurse the request to save time, can be fast with dredging the vehicle, handle the accident scene.

Drawings

FIG. 1 is a logical block diagram of the system of the present invention;

FIG. 2 is a flow chart of monitoring and analysis according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.

Example (b):

referring to fig. 1-2, the present invention provides a technical solution: a traffic monitoring system based on wisdom traffic thing networking includes:

the camera module shoots a traffic road to acquire image information of the traffic road;

the audio acquisition module acquires sounds on a traffic road;

the analysis module is connected with the output ends of the camera module and the audio acquisition module, and the camera module and the audio acquisition module output the acquired image information of the traffic road and the sound on the traffic road to the analysis module in a wired or wireless mode;

the output end of the analysis module is connected with the police team alarm end, the near-end loudspeaker and the hospital rescue end.

Preferably, the camera module coverage area comprises a motorway and a non-motorway of a traffic road.

Preferably, the analysis module obtains the image information of the traffic road and analyzes the sound transmission result on the traffic road, wherein the analysis result comprises three conditions of normal operation, traffic congestion and traffic accidents:

when the analysis result is normal operation, no action is taken;

when the analysis result is traffic congestion, the analysis module controls the near-end loudspeaker to play warning audio, the warning audio plays a warning role in warning vehicles on a traffic road, and the warning audio is pre-recorded;

when the analysis result is a traffic accident, the analysis module takes the image information of the traffic road obtained by the corresponding traffic and the sound on the traffic road as the basis to be transmitted to the police force alarm end and the hospital rescue end, and the police force alarm end and the hospital rescue end determine whether to take police and send out rescue personnel.

Preferably, the system also comprises a positioning module, and when the analysis result of the analysis module is a traffic accident, the analysis module simultaneously transmits the positioning information to the police station alarm end and the hospital rescue end.

Preferably, the analysis result of the analysis module is that the traffic jam condition is as follows:

at least one vehicle in the traffic road is in a standstill in a non-red light condition;

under the condition of non-red light, the distance between vehicles is within 3 meters, and the running speed is less than 1/3 of the maximum speed limit of the traffic road;

the area of the orthographic projection of the vehicles on the section of the traffic road to the traffic road is more than 3/5 of the area of the section of the traffic road.

Preferably, the condition that the analysis result of the analysis module is a traffic accident is the following conditions:

at least one vehicle is stopped on a traffic road, the vehicle, the road or a green belt is damaged around the vehicle, and the passing sound is identified as the occurrence of the impact sound;

at least one vehicle is stopped on the traffic road, casualties around the vehicle are identified through identification and analysis, and the impact sound is identified through sound.

Preferably, the police station and the hospital rescue station make a decision whether to take an alarm or not and send out rescue personnel based on image information of a traffic road, sound on the traffic road and an analysis result of the analysis module.

Preferably, the analysis result of the analysis module is a state when the traffic road is in normal operation and no traffic accidents occur or no traffic congestion occurs.

The working principle is as follows: the camera module and the audio acquisition module are used for carrying out image video acquisition on a monitored traffic road section and sound acquisition on the traffic road section, the image video acquisition is carried out on the traffic road section and the sound acquisition of the traffic road section is output to the analysis module for analysis, and the analysis module is integrated with a convolutional neural network and can continuously learn and improve;

the basic convolutional neural network consists of three structures of convolution (convolution), activation (activation), and pooling (displacement). The result of the CNN output is a specific feature space for each image. When processing an image classification task, we will use the feature space output by CNN as an input of a fully connected layer or fully connected neural network (FCN), and use the fully connected layer to complete mapping, i.e. classification, from the input image to the tag set. Of course, the most important work in the whole process is how to iteratively adjust the network weights through the training data, i.e. the back propagation algorithm. Currently mainstream Convolutional Neural Networks (CNNs), such as VGG, ResNet, are combined by simple CNN adjustment. In the prior art, no further description is provided herein.

The analysis result of the analysis module is that the traffic jam condition is the following conditions:

at least one vehicle in the traffic road is in a standstill in a non-red light condition;

under the condition of non-red light, the distance between vehicles is within 3 meters, and the running speed is less than 1/3 of the maximum speed limit of the traffic road;

the area of the orthographic projection of the vehicles on the section of the traffic road to the traffic road is more than 3/5 of the area of the section of the traffic road.

The analysis result of the analysis module is that the traffic accident situation is the following situations:

at least one vehicle is stopped on a traffic road, the vehicle, the road or a green belt is damaged around the vehicle, and the passing sound is identified as the occurrence of the impact sound;

at least one vehicle is stopped on the traffic road, casualties around the vehicle are identified through identification and analysis, and the impact sound is identified through sound.

When the analysis result is traffic jam or traffic accident, the analysis module outputs the analysis result, the image video collected by the traffic section and the sound collected by the traffic section to a police team alarm end and a hospital rescue end in a wired or wireless transmission mode.

And after the police station alarm terminal and the hospital rescue terminal analyze the data, if the police station alarm terminal and the hospital rescue terminal need to give an alarm or need to be treated, the police station alarm terminal and the hospital rescue terminal send medical personnel or simultaneously carry out alarm giving or medical personnel sending.

While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.