CN113112845A - Interference suppression system and method in duplex communication - Google Patents

Interference suppression system and method in duplex communication Download PDF

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CN113112845A
CN113112845A CN202110371442.7A CN202110371442A CN113112845A CN 113112845 A CN113112845 A CN 113112845A CN 202110371442 A CN202110371442 A CN 202110371442A CN 113112845 A CN113112845 A CN 113112845A
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CN113112845B (en
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时孝贺
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Suzhou Yudeshui Electric Technology Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
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    • G08G1/00—Traffic control systems for road vehicles
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    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G—PHYSICS
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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Abstract

The invention discloses an interference suppression system and method in duplex communication, which comprises a vehicle noise database, a vehicle type and vehicle age acquisition module, a vehicle noise value acquisition module, a vehicle position determination module, a vehicle advancing route acquisition module, a traffic light information acquisition module, a vehicle noise propagation range acquisition module, a vehicle arrival time analysis module, a vehicle stopping time analysis module, a user position determination module, a user communication behavior judgment module and an optimal communication position navigation module, and has the advantages that: the method comprises the steps of analyzing conversation behaviors of people, obtaining positions of the people, positions of vehicles, vehicle traveling routes and traffic light information of the people with the conversation behaviors, analyzing time nodes and leaving time nodes when the vehicles arrive at the conversation people, predicting conversation ending time and noise propagation ranges, judging whether optimal conversation position navigation is provided for the conversation people or not, avoiding noise interference in a conversation process, and improving conversation quality of users.

Description

Interference suppression system and method in duplex communication
Technical Field
The invention relates to the technical field of communication, in particular to an interference suppression system and method in duplex communication.
Background
Duplex communication refers to two-way communication, and is two-way at the same time, for example, in mobile phones, in people's daily life, the noise can greatly hinder the conversation and communication among people, when radio communication is interfered by noise, the noise can be heard in the earphone of communication, the sound intensity of people in normal conversation is 60 dB-70 dB, if the current environmental noise is 60dB, people can also hear the other party to speak clearly when making a call, but if the environmental noise exceeds 70dB, people can not make normal conversation, the interference principle of noise interference to electronic information equipment is: when noise interference enters a receiver of the electronic information equipment simultaneously with a useful signal, due to the continuity of the noise interference in time and the randomness of amplitude and phase, when the power of the noise interference is larger than the power of the useful signal, the useful signal is submerged in the noise interference, so that the electronic information equipment is difficult to detect the useful signal, and therefore, in the wireless communication process, it is necessary to take a suppression measure against the interference of the noise.
However, the prior art still has the following defects that with the increase of vehicles in China year by year, the noise brought by the vehicles continuously influences the life of people and reduces the life quality of people, the vehicles on roads are visible everywhere nowadays, the most common influence is that the vehicle noise seriously reduces the conversation quality of people, if people need to carry out a very important conversation at present, no quiet environment exists at the side, when people look for the quiet environment to carry out the conversation, but whether the vehicles run during the conversation cannot be determined, so that great inconvenience is brought to people, or the people are carrying out the conversation in a quiet place, but the vehicles run during the conversation, the noise brought by the vehicles can influence the conversation quality of people, and important information in the conversation can be missed.
Based on the above problems, it is highly desirable to provide an interference suppression system and method in duplex communication, in which the present invention analyzes and judges whether a call behavior exists in the current personnel through a call behavior analysis, further obtains the position, vehicle traveling route and traffic light information of the call personnel, analyzes the time node when the vehicle arrives at the call personnel and the departure time node, and judges whether to provide the best call position navigation for the call personnel according to the call ending time prediction and the noise propagation range, thereby avoiding noise interference in the call process, providing an interference-free call environment for the user, and improving the call quality of the user.
Disclosure of Invention
The present invention is directed to an interference suppression system and method in duplex communication, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme:
an interference suppression system in duplex communication comprises a vehicle noise database, a vehicle type and age acquisition module, a vehicle noise value acquisition module, a vehicle position determination module, a vehicle traveling route acquisition module, a traffic light information acquisition module, a vehicle noise propagation range acquisition module, a vehicle arrival time analysis module, a vehicle stopping time analysis module, a user position determination module, a user communication behavior judgment module and an optimal communication position navigation module,
the vehicle noise database is used for establishing a corresponding relation among vehicle types, vehicle ages and vehicle noise values, and pre-storing the vehicle noise values and noise propagation ranges corresponding to the noise values according to the vehicle types and the vehicle ages, the vehicle type and vehicle age acquisition module is used for acquiring the vehicle types and the vehicle age information, the vehicle noise value acquisition module is used for acquiring corresponding vehicle noise value data in the vehicle noise database according to the vehicle types, the vehicle age information and the corresponding relation among the vehicle types, the vehicle age information and the vehicle noise values, the vehicle position determination module is used for determining the real-time position of a vehicle, the vehicle traveling route acquisition module is used for acquiring the traveling route of the vehicle, and the traffic light information acquisition module is used for acquiring the red light time and the green light time at a certain position and the number of traffic lights in a certain range, the vehicle noise propagation range acquisition module is used for acquiring the propagation range and the propagation radius of vehicle noise according to a vehicle noise value, the vehicle arrival time analysis module is used for analyzing the time of a vehicle reaching a certain range of a user position, the vehicle stopping time analysis module is used for analyzing the stopping time of the vehicle at the certain range of the user position, the user position determination module is used for acquiring the real-time position of the user, the user communication behavior judgment module is used for judging whether the current user carries out communication behavior in advance or is carrying out communication behavior, and the optimal communication position navigation module is used for navigating the optimal communication position.
Further, the user call behavior judgment module comprises a video acquisition sub-module and a call behavior analysis sub-module, the video acquisition sub-module acquires a video monitoring image in the coverage area of the video acquisition sub-module, the call behavior analysis sub-module further acquires the video monitoring image and marks the personnel in the video monitoring image, the call behavior analysis sub-module acquires the contour of the upper half body of the personnel in the video monitoring image, extracts the elbow tip point, the shoulder peak point and the point behind the ear on the body contour, and connects the elbow tip point and the shoulder peak point, the connection line of the elbow tip point and the shoulder peak point is a first straight line, the connection line of the shoulder peak point and the point behind the ear is a second straight line,
the conversation behavior analysis submodule acquires an angle theta formed by the first straight line and the second straight line and calculates
Figure BDA0003009466960000021
A value of (b), wherein θ0Further judging the angle interval in which the angle theta is positioned for the angle threshold value, timing the time when the value of the angle theta is continuously positioned in a certain angle interval when the angle theta is positioned in the certain angle interval, and when the angle theta is positioned in the certain angle interval
Figure BDA0003009466960000022
When the angle theta is smaller than or equal to a first preset value and the time of the angle theta in the certain interval is larger than or equal to a second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0When people talk, the mobile phone is lifted and placed to the ear, the arm is in an upward bending gesture at the moment, the elbow tip point, the shoulder peak point and the point behind the ear of the people are extracted, the connecting line of the elbow tip point and the shoulder peak point and the connecting line of the shoulder peak point and the point behind the ear can present a break angle in a normal gesture, the three points can be approximate to a straight line when talking, namely the break angle can be close to 180 degrees, the angle size of the break angle and the time length of the arm of the people for keeping the angle are judged, and the arm can keep the upward bending gesture for a certain time when talkingThrough the analysis, whether the current person is in the process of communication or is ready to communicate can be judged.
Further, the user position determining module is connected with the conversation behavior submodule, the user position determining module further acquires the real-time position of the person marked as the conversation person through the conversation behavior analyzing submodule,
the vehicle position module is connected with the vehicle type and age acquisition module, the vehicle noise value acquisition module and the vehicle noise database, and the vehicle position determination module acquires the real-time position of the personnel and further acquires a call duration threshold T0Taking the real-time position of the person as the circle center, V X T0Establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range of the position of the talking person, the vehicle position determining module further acquires the vehicle position information in the circular search area, and the vehicle type and age information of the vehicle at the determined position in the circular search area is acquired through the vehicle type and age acquiring module, the vehicle noise value acquiring module finds the vehicle noise value data corresponding to the vehicle type and the age from the vehicle noise database according to the acquired vehicle type and age information, judges that the position of the talking person cannot receive noise interference in a certain future time according to the position of the talking person and sets a talking time threshold, and calculates the driving distance of the vehicle in the talking process by taking the driving speed and the talking time threshold of the vehicle as parameters, and judging that the vehicle cannot reach the position of a call operator in the call process of people according to the calculated result, so that the call quality of people is influenced, establishing an area according to the driving distance, and acquiring the vehicle position information in the area.
Further, the vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module further acquires vehicle noise value data and searches a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range with a vehicle as a circle center and a noise propagation radius as a circle radius, the vehicle traveling route acquisition module further acquires traveling route information of a vehicle at a determined position in the circular search area, the personnel real-time position is used as a reference point, first road information in a certain range of the reference point is acquired, and whether the vehicle traveling route information contains the first road information is judged according to the acquired first road information and the vehicle traveling route information,
if the vehicle traveling route information contains the first road information, namely the corresponding vehicle can pass through the first road, judging the time of the corresponding vehicle reaching the first road through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, namely, the corresponding vehicle cannot pass through the first road to obtain the vehicle information in the circular search area, the types of the vehicles are different, the generated noise values are also different, and the vehicle can have certain damage conditions along with the increase of the service time of the vehicle, and the noise caused by abnormal sound is larger, so that the noise value and the propagation range corresponding to the noise value are obtained according to the types and the ages of the vehicles, the noise can not be applied to the person in conversation when the vehicle reaches the position of the conversation person, the conversation quality of the person is influenced, and the road near the position of the person is judged according to the position of the conversation person.
Further, the vehicle arrival time analysis module is connected with the vehicle position determination module, the vehicle travel route acquisition module and the user position determination module, the vehicle arrival time analysis module further acquires the real-time position of the vehicle and the real-time position information of personnel, the vehicle position acquisition time is recorded when the real-time position information of the vehicle is acquired, and the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the roadThe time and the length of the road are recorded, the time required for the vehicle to travel through the road to reach the position of the communication staff can be further predicted, and then the time node for the vehicle to reach the position of the communication staff can be predicted, so that whether a person is communicating at the time node can be judged according to the predicted time node, and the influence of vehicle noise on the communication quality can be reduced.
Further, the vehicle arrival time analysis module is further connected with a traffic light information acquisition module, the traffic light information acquisition module acquires road information between the real-time position of the vehicle and the real-time position of the personnel, further acquires the number of traffic lights on the road, the red light time and the green light time, and numbers the traffic lights, wherein the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiAt present, traffic lights are seen everywhere on a road, if only one traffic light is provided, the waiting time for the traffic light can be ignored temporarily, but if the number of the traffic lights is large, the accumulated waiting time is also a factor which needs to be referred to, and further the maximum running speed V allowed by the vehicle to run on the road is further determined according to the maximum running speed V allowed by the vehicle to run on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the person at the waiting time at each traffic light, wherein the arrival time
Figure BDA0003009466960000041
Wherein, T1And L is the length of the road, and a time node when the vehicle arrives at the position of the call man can be calculated according to the time point when the vehicle position is obtained and the passing time of the vehicle on the road at the maximum driving speed allowed by the current road, so that whether a person is calling at the time node can be judged according to the predicted time node, and the influence of the noise of the vehicle on the call quality can be reduced.
Further, a vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, the vehicle stopping time analysis module acquires the real-time position of the personnel and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module acquires the number of traffic lights, the red light time and the green light time at the first road according to the first road information, calculates the waiting time of the vehicle at the first road according to the number of the traffic lights, the red light time and the green light time, and further calculates the length L of the first road according to the length L of the first road1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure BDA0003009466960000051
Wherein, V1The vehicle stopping time analysis module is used for analyzing the stopping time t according to the maximum running speed of the vehicle on the first roadjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tjIn a certain range of the position of the talking staff, when the vehicle runs, the talking quality of the talking staff at the position is influenced, therefore, the staying time of the vehicle in the range needs to be calculated, and then the leaving time of the vehicle is judged, if the staying time is too long, and when the vehicle leaves, the talking is not finished yet, then the optimal talking position navigation needs to be provided for the current talking staff, so as to reduce the noise influence in the talking process and improve the talking quality of the user, and possibly, when the vehicle just reaches the influencing range, the talking staff just finishes the talking, or the staying time of the vehicle in the range is very short, so that the influence on the talking quality of the people can be ignored.
Further, the vehicle stopping time analysis module is connected with an optimal communication position navigation module, the optimal communication position navigation module is connected with a user communication behavior judgment module, a vehicle noise propagation range acquisition module and a user position determination module, and the optimal communication position navigation module is further used for acquisitionConversation time length threshold T of user0The optimal call position navigation module predicts the call ending time of the current user according to the call starting time and the call duration threshold, further acquires a vertical center line along the driving direction of a first road, calculates the shortest distance between the real-time position of the person and the vertical center line, and compares the noise propagation radius with the shortest distance,
when the noise propagation radius is larger than or equal to the shortest distance and the call ending time is larger than the time node TjAnd the optimal call position navigation module provides optimal call position navigation for the user.
Further, an interference suppression method in duplex communication includes the following steps:
s1: judging whether the personnel in the video have the conversation behavior through video image interception and conversation behavior analysis, and marking the personnel with the conversation behavior as conversation personnel;
s2: establishing a circular search area according to the position of a call person, and acquiring vehicle information in the circular search area, wherein the vehicle information comprises a vehicle type, a vehicle age and vehicle noise value data corresponding to the vehicle type and the vehicle age;
s3: acquiring a corresponding noise propagation range according to the vehicle noise value data, acquiring the traveling route information of the vehicle with a determined position in the circular search area, further acquiring the first road information in a certain range at the position of the call person, and judging whether the traveling route information contains the first road information;
s4: acquiring the real-time position of the vehicle, and recording the acquisition time of the vehicle position, wherein the recording time is T1Intercepting road information between the real-time position of the vehicle and the position of a communication person according to the traveling route information, wherein the road information comprises the length L of a road;
s5: acquiring traffic light information on a road, and calculating the time of the vehicle reaching the position of a communication person according to the vehicle position acquisition time, the waiting time of the vehicle at the traffic light, the vehicle running speed and the road length;
s6: calculating a time node of the vehicle leaving the first road according to the traffic light information on the first road, the length of the first road, the running speed of the vehicle and the arrival time;
s7: and judging whether the optimal call position navigation needs to be provided for the call personnel according to the call start time of the call personnel, the call duration threshold, the noise propagation radius and the call personnel position.
Further, the interference suppression method further includes the steps of:
s1-1: the user call behavior judgment module comprises a video acquisition sub-module and a call behavior analysis sub-module, the video acquisition sub-module acquires a video monitoring image in a coverage area of the video acquisition sub-module, the call behavior analysis sub-module further acquires the video monitoring image and marks personnel in the video monitoring image, the call behavior analysis sub-module acquires the body contour of the upper half of the personnel in the video monitoring image, extracts an elbow tip point, a shoulder peak point and a point behind the ear on the body contour, connects the elbow tip point with the shoulder peak point, the connection line of the elbow tip point with the shoulder peak point is a first straight line, further connects the shoulder peak point with the point behind the ear, the connection line of the shoulder peak point with the point behind the ear is a second straight line, and the call behavior analysis sub-module acquires an angle theta formed by the first straight line and the second straight line and calculates the angle theta
Figure BDA0003009466960000061
A value of (b), wherein θ0The angle threshold value is used for further judging the angle interval where the angle theta is positioned, when the angle theta is positioned in a certain angle interval, the time that the value of the angle theta is continuously positioned in the certain angle interval is counted, and when the angle theta is positioned in the certain angle interval
Figure BDA0003009466960000062
When the angle theta is smaller than or equal to a first preset value and the time of the angle theta in a certain interval is larger than or equal to a second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0。
S2-1: the user position determining module is connected with the conversation behavior submodule and further acquires the real-time position of the person marked as the conversation person through the conversation behavior analyzing submodule,
the vehicle position module is connected with the vehicle type and age acquisition module, the vehicle noise value acquisition module and the vehicle noise database, and the vehicle position determination module acquires the real-time position of personnel and further acquires a call duration threshold T0With the real-time position of the person as the center of the circle, V X T0And establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range of the position of the call person, the vehicle position determining module further acquires the vehicle position information in the circular search area, and the vehicle type and vehicle age information of the vehicle with the determined position in the circular search area is acquired through the vehicle type and vehicle age acquiring module, and the vehicle noise value acquiring module finds the vehicle noise value data corresponding to the vehicle type and the vehicle age from the vehicle noise database according to the acquired vehicle type and vehicle age information.
S3-1: the vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module further acquires vehicle noise value data and searches a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range taking a vehicle as a circle center and taking a noise propagation radius as a circle radius,
further acquiring the traveling route information of the vehicle with the determined position in the circular search area by a vehicle traveling route acquisition module, acquiring first road information in a certain range of the reference point by taking the real-time position of the person as the reference point, judging whether the vehicle traveling route information contains the first road information according to the acquired first road information and the vehicle traveling route information,
if the vehicle traveling route information contains first road information, namely the corresponding vehicle can pass through the first road, the time of the corresponding vehicle reaching the first road is judged through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, the corresponding vehicle does not pass through the first road.
S4-1: the vehicle arrival time analysis module is connected with the vehicle position determination module, the vehicle travel route acquisition module and the user position determination module, the vehicle arrival time analysis module further acquires the real-time position of the vehicle and the real-time position information of personnel, the vehicle position acquisition time is recorded when the real-time position information of the vehicle is acquired, and the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the road.
S5-1: the vehicle arrival time analysis module is also connected with a traffic light information acquisition module, the traffic light information acquisition module acquires road information between a vehicle real-time position and a personnel real-time position, further acquires the number of traffic lights on a road, the red light time and the green light time, and numbers the traffic lights, wherein the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiFurther based on the maximum speed V of the vehicle on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the personnel at the waiting time of each traffic light, wherein the arrival time
Figure BDA0003009466960000071
Wherein, T1For the vehicle position acquisition time, L is the length of the road.
S6-1: the vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, acquires the real-time position of the personnel, and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module is used for analyzing the first road informationThe method comprises the steps of obtaining the number of traffic lights, the red light time and the green light time of a first road, calculating the waiting time of a vehicle at the first road according to the number of the traffic lights, the red light time and the green light time, and further calculating the vehicle stopping time analysis module according to the length L of the first road1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure BDA0003009466960000081
Wherein, V1The vehicle stopping time analysis module is used for analyzing the maximum running speed of the vehicle on the first road according to the stopping time tjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tj。
S7-1: the vehicle stopping time analysis module is connected with the optimal call position navigation module, the optimal call position navigation module is connected with the user call behavior judgment module, the vehicle noise propagation range acquisition module and the user position determination module, and the optimal call position navigation module further acquires a call duration threshold T of a user0The optimal communication position navigation module predicts the communication ending time of the current user according to the communication starting time and the communication duration threshold value, further obtains a vertical center line in the driving direction of the first road, calculates the shortest distance between the real-time position of the person and the vertical center line, compares the noise transmission radius with the shortest distance, and when the noise transmission radius is larger than or equal to the shortest distance and the communication ending time is larger than a time node TjAnd the optimal call position navigation module provides optimal call position navigation for the user.
Compared with the prior art, the invention has the following beneficial effects: the invention judges whether the current personnel has the conversation behavior through the conversation behavior analysis, further obtains the position, the vehicle traveling route and the traffic light information of the conversation personnel, analyzes the time node when the vehicle arrives at the conversation personnel and the departure time node, and judges whether to provide the best conversation position navigation for the conversation personnel according to the conversation ending time prediction and the noise propagation range, thereby avoiding the noise interference in the conversation process, providing an interference-free conversation environment for the user and improving the conversation quality of the user.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of an interference suppression system in duplex communication according to the present invention;
fig. 2 is a schematic diagram illustrating steps of an interference suppression method in duplex communication 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.
Referring to fig. 1-2, the present invention provides the following technical solutions:
an interference suppression system in duplex communication comprises a vehicle noise database, a vehicle type and age acquisition module, a vehicle noise value acquisition module, a vehicle position determination module, a vehicle traveling route acquisition module, a traffic light information acquisition module, a vehicle noise propagation range acquisition module, a vehicle arrival time analysis module, a vehicle stopping time analysis module, a user position determination module, a user communication behavior judgment module and an optimal communication position navigation module,
the vehicle noise database is used for establishing a corresponding relation among vehicle types, vehicle ages and vehicle noise values and pre-storing the vehicle noise values and noise propagation ranges corresponding to the noise values according to the vehicle types and the vehicle ages, the vehicle type and vehicle age acquisition module is used for acquiring the vehicle types and the vehicle age information, the vehicle noise value acquisition module is used for acquiring corresponding vehicle noise value data in the vehicle noise database according to the vehicle types, the vehicle age information and the corresponding relation among the vehicle types, the vehicle age information and the vehicle noise values, the vehicle position determination module is used for determining the real-time position of a vehicle, the vehicle traveling route acquisition module is used for acquiring the traveling route of the vehicle, the traffic light information acquisition module is used for acquiring the red light time and the green light time at a certain position and the number of the traffic lights in a certain range, and the vehicle noise propagation range acquisition module is used for acquiring the propagation ranges and propagation radiuses of the vehicle noise according to the vehicle noise values, the vehicle arrival time analysis module is used for analyzing the time of the vehicle arriving at a certain range of the user position, the vehicle stopping time analysis module is used for analyzing the staying time of the vehicle at the certain range of the user position, the user position determination module is used for acquiring the real-time position of the user, the user conversation behavior judgment module is used for judging whether the current user carries out conversation behavior in advance or is carrying out conversation behavior, and the optimal conversation position navigation module is used for navigating the optimal conversation position.
The user call behavior judgment module comprises a video acquisition sub-module and a call behavior analysis sub-module, the video acquisition sub-module acquires a video monitoring image in a coverage area of the video acquisition sub-module, the call behavior analysis sub-module further acquires the video monitoring image and marks personnel in the video monitoring image, the call behavior analysis sub-module acquires the body contour of the upper half of the personnel in the video monitoring image, extracts an elbow cusp point, a shoulder cusp point and a point behind the ear on the body contour, connects the elbow cusp point with the shoulder cusp point, the connection line of the elbow cusp point and the shoulder cusp point is a first straight line, further connects the shoulder cusp point with the point behind the ear, and the connection line of the shoulder cusp point with the point behind the ear is a second straight line,
the conversation behavior analysis submodule acquires an angle theta formed by the first straight line and the second straight line and calculates
Figure BDA0003009466960000091
A value of (b), wherein θ0The angle threshold value is used for further judging the angle interval where the angle theta is positioned, and when the angle theta is positioned in a certain angle interval, the value of the angle theta is continuously in oneTiming at a fixed angle interval when
Figure BDA0003009466960000092
When the angle theta is smaller than or equal to a first preset value and the time of the angle theta in a certain interval is larger than or equal to a second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0。
The user position determining module is connected with the conversation behavior submodule and further acquires the real-time position of a person marked as a conversation person through the conversation behavior analyzing submodule, the vehicle position module is connected with the vehicle type and age acquiring module, the vehicle noise value acquiring module and the vehicle noise database, and the vehicle position determining module acquires the real-time position of the person and further acquires the conversation duration threshold T0With the real-time position of the person as the center of the circle, V X T0And establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range of the position of the call person, the vehicle position determining module further acquires the vehicle position information in the circular search area, and the vehicle type and vehicle age information of the vehicle with the determined position in the circular search area is acquired through the vehicle type and vehicle age acquiring module, and the vehicle noise value acquiring module finds the vehicle noise value data corresponding to the vehicle type and the vehicle age from the vehicle noise database according to the acquired vehicle type and vehicle age information.
The vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module further acquires vehicle noise value data and searches a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range with a vehicle as a circle center and a noise propagation radius as a circle radius, the vehicle route acquisition module further acquires the traveling route information of the vehicle with a determined position in a circular search area, the real-time position of a person is taken as a reference point, first road information in a certain range of the reference point is acquired, whether the vehicle traveling route information contains the first road information or not is judged according to the acquired first road information and the vehicle traveling route information, if the vehicle traveling route information contains the first road information, the corresponding vehicle can pass through the first road, judging the time of the corresponding vehicle reaching the first road through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, the corresponding vehicle does not pass through the first road.
The vehicle arrival time analysis module is connected with the vehicle position determination module, the vehicle travel route acquisition module and the user position determination module, the vehicle arrival time analysis module further acquires the real-time position of the vehicle and the real-time position information of personnel, the vehicle position acquisition time is recorded when the real-time position information of the vehicle is acquired, and the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the road.
The vehicle arrival time analysis module is also connected with a traffic light information acquisition module, the traffic light information acquisition module acquires road information between a vehicle real-time position and a personnel real-time position, further acquires the number of traffic lights on a road, the red light time and the green light time, and numbers the traffic lights, wherein the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiFurther based on the maximum speed V of the vehicle on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the personnel at the waiting time of each traffic light, wherein the arrival time
Figure BDA0003009466960000101
Wherein, T1For the vehicle position acquisition time, L is the length of the road.
The vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, acquires the real-time position of the personnel, and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module acquires the number of traffic lights, the red light time and the green light time of the first road according to the first road information, calculates the waiting time of the vehicle at the first road according to the number of the traffic lights, the red light time and the green light time, and further calculates the length L of the first road according to the vehicle stopping time analysis module1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure BDA0003009466960000111
Wherein, V1The vehicle stopping time analysis module is used for analyzing the maximum running speed of the vehicle on the first road according to the stopping time tjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tj。
The vehicle stopping time analysis module is connected with the optimal communication position navigation module, the optimal communication position navigation module is connected with the user communication behavior judgment module, the vehicle noise propagation range acquisition module and the user position determination module,
the optimal call position navigation module further acquires a call duration threshold T of the user0The optimal communication position navigation module predicts the communication ending time of the current user according to the communication starting time and the communication duration threshold value, further obtains a vertical center line in the driving direction of the first road, calculates the shortest distance between the real-time position of the person and the vertical center line, compares the noise transmission radius with the shortest distance, and when the noise transmission radius is larger than or equal to the shortest distance and the communication ending time is larger than a time node TjAnd the optimal call position navigation module provides optimal call position navigation for the user.
An interference suppression method in duplex communication includes the following steps:
s1: judging whether the personnel in the video have the conversation behavior through video image interception and conversation behavior analysis, and marking the personnel with the conversation behavior as conversation personnel;
s2: establishing a circular search area according to the position of a call person, and acquiring vehicle information in the circular search area, wherein the vehicle information comprises a vehicle type, a vehicle age and vehicle noise value data corresponding to the vehicle type and the vehicle age;
s3: acquiring a corresponding noise propagation range according to the vehicle noise value data, acquiring the traveling route information of the vehicle with a determined position in the circular search area, further acquiring the first road information in a certain range at the position of the call person, and judging whether the traveling route information contains the first road information;
s4: acquiring the real-time position of the vehicle, and recording the acquisition time of the vehicle position, wherein the recording time is T1Intercepting road information between the real-time position of the vehicle and the position of a communication person according to the traveling route information, wherein the road information comprises the length L of a road;
s5: acquiring traffic light information on a road, and calculating the time of the vehicle reaching the position of a communication person according to the vehicle position acquisition time, the waiting time of the vehicle at the traffic light, the vehicle running speed and the road length;
s6: calculating a time node of the vehicle leaving the first road according to the traffic light information on the first road, the length of the first road, the running speed of the vehicle and the arrival time;
s7: and judging whether the optimal call position navigation needs to be provided for the call personnel according to the call start time of the call personnel, the call duration threshold, the noise propagation radius and the call personnel position.
The interference suppression method further comprises the following steps:
s1-1: the user call behavior judgment module comprises a video acquisition submodule and a call behavior analysis submodule, the video acquisition submodule acquires video monitoring images in the coverage area of the video acquisition submodule, and the call behavior analysis submodule further acquires the video monitoring imagesThe image is marked for the person in the video monitoring image, the call behavior analysis sub-module obtains the contour of the upper half body of the person in the video monitoring image, extracts the elbow apex point, the shoulder peak point and the point behind the ear on the contour of the body, connects the elbow apex point with the shoulder peak point, the connection line of the elbow apex point and the shoulder peak point is a first straight line, further connects the shoulder apex point with the point behind the ear, the connection line of the shoulder apex point with the point behind the ear is a second straight line, the call behavior analysis sub-module obtains the angle theta formed by the first straight line and the second straight line, and calculates
Figure BDA0003009466960000121
A value of (b), wherein θ0The angle threshold value is used for further judging the angle interval where the angle theta is positioned, when the angle theta is positioned in a certain angle interval, the time that the value of the angle theta is continuously positioned in the certain angle interval is counted, and when the angle theta is positioned in the certain angle interval
Figure BDA0003009466960000122
When the angle theta is smaller than or equal to a first preset value and the time of the angle theta in a certain interval is larger than or equal to a second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0。
S2-1: the user position determining module is connected with the conversation behavior submodule and further acquires the real-time position of the person marked as the conversation person through the conversation behavior analyzing submodule,
the vehicle position module is connected with the vehicle type and age acquisition module, the vehicle noise value acquisition module and the vehicle noise database, and the vehicle position determination module acquires the real-time position of personnel and further acquires a call duration threshold T0With the real-time position of the person as the center of the circle, V X T0Establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range of the position of the communication person, the vehicle position determining module further obtains the vehicle position information in the circular search area, and the vehicle type and vehicle age information of the vehicle with the determined position in the circular search area is obtained through the vehicle type and vehicle age obtaining moduleAnd acquiring, wherein the vehicle noise value acquisition module finds vehicle noise value data corresponding to the vehicle type and the vehicle age from a vehicle noise database according to the acquired vehicle type and vehicle age information.
S3-1: the vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module further acquires vehicle noise value data and searches a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range taking a vehicle as a circle center and taking a noise propagation radius as a circle radius,
further acquiring the traveling route information of the vehicle with the determined position in the circular search area by a vehicle traveling route acquisition module, acquiring first road information in a certain range of the reference point by taking the real-time position of the person as the reference point, judging whether the vehicle traveling route information contains the first road information according to the acquired first road information and the vehicle traveling route information,
if the vehicle traveling route information contains first road information, namely the corresponding vehicle can pass through the first road, the time of the corresponding vehicle reaching the first road is judged through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, the corresponding vehicle does not pass through the first road.
S4-1: the vehicle arrival time analysis module is connected with the vehicle position determination module, the vehicle travel route acquisition module and the user position determination module, the vehicle arrival time analysis module further acquires the real-time position of the vehicle and the real-time position information of personnel, the vehicle position acquisition time is recorded when the real-time position information of the vehicle is acquired, and the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the road.
S5-1: the vehicle arrival time analysis module is also connected with a traffic light information acquisition module which acquires the vehicleRoad information between the real-time position of the vehicle and the real-time position of the personnel is obtained, the number of traffic lights on the road, the red light time and the green light time are further obtained, the traffic lights are numbered, and the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiFurther based on the maximum speed V of the vehicle on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the personnel at the waiting time of each traffic light, wherein the arrival time
Figure BDA0003009466960000131
Wherein, T1For the vehicle position acquisition time, L is the length of the road.
S6-1: the vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, acquires the real-time position of the personnel, and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module acquires the number of traffic lights, the red light time and the green light time of the first road according to the first road information, calculates the waiting time of the vehicle at the first road according to the number of the traffic lights, the red light time and the green light time, and further calculates the length L of the first road according to the vehicle stopping time analysis module1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure BDA0003009466960000132
Wherein, V1The vehicle stopping time analysis module is used for analyzing the maximum running speed of the vehicle on the first road according to the stopping time tjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tj。
S7-1: the vehicle stopping time analysis module is connected with the optimal communication position navigation module, the optimal communication position navigation module is connected with the user communication behavior judgment module, the vehicle noise propagation range acquisition module and the user position determination module,
the optimal call position navigation module further acquires a call duration threshold T of the user0The optimal communication position navigation module predicts the communication ending time of the current user according to the communication starting time and the communication duration threshold value, further obtains a vertical center line in the driving direction of the first road, calculates the shortest distance between the real-time position of the person and the vertical center line, compares the noise transmission radius with the shortest distance, and when the noise transmission radius is larger than or equal to the shortest distance and the communication ending time is larger than a time node TjAnd the optimal call position navigation module provides optimal call position navigation for the user.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An interference suppression system in duplex communication, characterized by: the system comprises a vehicle noise database, a vehicle type and age acquisition module, a vehicle noise value acquisition module, a vehicle position determination module, a vehicle traveling route acquisition module, a traffic light information acquisition module, a vehicle noise propagation range acquisition module, a vehicle arrival time analysis module, a vehicle stopping time analysis module, a user position determination module, a user communication behavior judgment module and an optimal communication position navigation module, wherein the vehicle noise database is used for establishing the corresponding relation among the vehicle type, the vehicle age and the vehicle noise value and pre-storing the vehicle noise value and the noise propagation range corresponding to the noise value according to the vehicle type and the vehicle age, the vehicle type and age acquisition module is used for acquiring the vehicle type and age information, and the vehicle noise value acquisition module is used for acquiring the vehicle type, the vehicle age information and the vehicle type, The corresponding relation between the vehicle age information and the vehicle noise value is obtained from a vehicle noise database, the vehicle position determining module is used for determining the real-time position of a vehicle, the vehicle traveling route obtaining module is used for obtaining the traveling route of the vehicle, the traffic light information obtaining module is used for obtaining the red light time and the green light time of a certain position and the number of traffic lights in a certain range, the vehicle noise propagation range obtaining module is used for obtaining the propagation range and the propagation radius of the vehicle noise according to the vehicle noise value, the vehicle arrival time analyzing module is used for analyzing the time of the vehicle reaching the certain range of the user position, the vehicle elapsed time analyzing module is used for analyzing the stay time of the vehicle at the certain range of the user position, and the user position determining module is used for obtaining the real-time position of the user, the user communication behavior judging module is used for judging whether the current user carries out communication behavior in advance or is carrying out communication behavior, and the optimal communication position navigation module is used for navigating the optimal communication position.
2. The system of claim 1, wherein the interference suppression system comprises: the user call behavior judging module comprises a video acquisition sub-module and a call behavior analysis sub-module,
the video acquisition sub-module acquires a video monitoring image in the coverage area of the video acquisition sub-module, the call behavior analysis sub-module further acquires the video monitoring image and marks personnel in the video monitoring image, the call behavior analysis sub-module acquires the contour of the upper half body of the personnel in the video monitoring image, extracts an elbow tip point, a shoulder peak point and a point behind the ear on the contour of the body, connects the elbow tip point with the shoulder peak point, the connection line of the elbow tip point and the shoulder peak point is a first straight line, further connects the shoulder peak point with the point behind the ear, and the connection line of the shoulder peak point and the point behind the ear is a second straight line,
the conversation behavior analysis submodule acquires an angle theta formed by the first straight line and the second straight line and calculates
Figure FDA0003009466950000011
A value of (b), wherein θ0Further judging the angle interval in which the angle theta is positioned for the angle threshold value, timing the time when the value of the angle theta is continuously positioned in a certain angle interval when the angle theta is positioned in the certain angle interval, and when the angle theta is positioned in the certain angle interval
Figure FDA0003009466950000012
When the angle theta is smaller than or equal to the first preset value and the time when the angle theta is located in the certain interval is larger than or equal to the second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0.
3. An interference suppression system in duplex communication according to claim 1 or 2, wherein: the user position determining module is connected with the conversation behavior submodule and further acquires the real-time position of the person marked as the conversation person through the conversation behavior analyzing submodule,
vehicle position module connected with vehicle type and vehicle age acquisition module and vehicleThe vehicle position determining module acquires the real-time position of the personnel and further acquires a call duration threshold T0Taking the real-time position of the person as the circle center, V X T0And establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range at the position of the call person, the vehicle position determining module further acquires the vehicle position information in the circular search area, and the vehicle type and vehicle age information of the vehicle at the determined position in the circular search area is acquired through the vehicle type and vehicle age acquiring module, and the vehicle noise value acquiring module finds vehicle noise value data corresponding to the vehicle type and the vehicle age from the vehicle noise database according to the acquired vehicle type and vehicle age information.
4. The system of claim 3, wherein the interference suppression system comprises: the vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module is further used for acquiring vehicle noise value data and searching a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range taking a vehicle as a circle center and taking a noise propagation radius as a circle radius,
further acquiring the traveling route information of the vehicle with the determined position in the circular search area through a vehicle traveling route acquisition module, acquiring first road information in a certain range of the reference point by taking the real-time position of the person as the reference point, judging whether the first road information is contained in the vehicle traveling route information or not according to the acquired first road information and the vehicle traveling route information,
if the vehicle traveling route information contains the first road information, namely the corresponding vehicle can pass through the first road, judging the time of the corresponding vehicle reaching the first road through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, the corresponding vehicle does not pass through the first road.
5. The system of claim 4, wherein the interference suppression system comprises: the vehicle arrival time analysis module is connected with the vehicle position determination module, the vehicle traveling route acquisition module and the user position determination module, the vehicle arrival time analysis module further acquires the real-time position of the vehicle and the real-time position information of personnel, the vehicle position acquisition time is recorded when the real-time position information of the vehicle is acquired, and the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the road.
6. The system of claim 5, wherein the interference suppression system comprises: the vehicle arrival time analysis module is further connected with a traffic light information acquisition module, the traffic light information acquisition module acquires road information between a vehicle real-time position and a personnel real-time position, further acquires the number of traffic lights on a road, the red light time and the green light time, and numbers the traffic lights, wherein the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiFurther based on the maximum speed V of the vehicle on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the person at the waiting time at each traffic light, wherein the arrival time
Figure FDA0003009466950000031
Wherein, T1For the vehicle position acquisition time, L is the length of the road.
7. The system according to claim 1 or 6, wherein: the vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, acquires the real-time position of the personnel, and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module acquires the number of traffic lights, the red light time and the green light time at the first road according to the first road information, calculates the waiting time of the vehicle at the first road according to the number of the traffic lights, the red light time and the green light time, and further calculates the length L of the first road according to the length L of the first road1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure FDA0003009466950000032
Wherein, V1The vehicle stopping time analysis module is used for analyzing the stopping time t according to the maximum running speed of the vehicle on the first roadjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tj。
8. The system of claim 7, wherein the interference suppression system comprises: the vehicle stopping time analysis module is connected with an optimal communication position navigation module, the optimal communication position navigation module is connected with a user communication behavior judgment module, a vehicle noise propagation range acquisition module and a user position determination module,
the optimal call position navigation module further acquires a call duration threshold T of the user0The optimal communication position navigation module predicts the communication ending time of the current user according to the communication starting time and the communication duration threshold value, further obtains a vertical central line in the driving direction of the first road, and calculates the real-time position of the personnelIs placed at a shortest distance on the vertical centerline and the noise propagation radius is compared to the shortest distance,
and when the noise propagation radius is larger than or equal to the shortest distance and the call ending time is larger than a time node Ti, the optimal call position navigation module provides optimal call position navigation for a user.
9. An interference suppression method in duplex communication, characterized in that: the interference suppression method comprises the following steps:
s1: judging whether the personnel in the video have the conversation behavior through video image interception and conversation behavior analysis, and marking the personnel with the conversation behavior as conversation personnel;
s2: establishing a circular search area according to the position of a call person, and acquiring vehicle information in the circular search area, wherein the vehicle information comprises a vehicle type, a vehicle age and vehicle noise value data corresponding to the vehicle type and the vehicle age;
s3: acquiring a corresponding noise propagation range according to the vehicle noise value data, acquiring the traveling route information of the vehicle with a determined position in the circular search area, further acquiring the first road information in a certain range at the position of the call person, and judging whether the traveling route information contains the first road information;
s4: acquiring the real-time position of the vehicle, and recording the acquisition time of the vehicle position, wherein the recording time is T1Intercepting road information between the real-time position of the vehicle and the position of a communication person according to the traveling route information, wherein the road information comprises the length L of a road;
s5: acquiring traffic light information on a road, and calculating the time of the vehicle reaching the position of a communication person according to the vehicle position acquisition time, the waiting time of the vehicle at the traffic light, the vehicle running speed and the road length;
s6: calculating a time node of the vehicle leaving the first road according to the traffic light information on the first road, the length of the first road, the running speed of the vehicle and the arrival time;
s7: and judging whether the optimal call position navigation needs to be provided for the call personnel according to the call start time of the call personnel, the call duration threshold, the noise propagation radius and the call personnel position.
10. The method of claim 9, wherein the method for suppressing interference in duplex communication comprises: the interference suppression method further comprises the following steps:
s1-1: the user call behavior judgment module comprises a video acquisition sub-module and a call behavior analysis sub-module, the video acquisition sub-module acquires a video monitoring image in a coverage area of the video acquisition sub-module, the call behavior analysis sub-module further acquires the video monitoring image and marks personnel in the video monitoring image, the call behavior analysis sub-module acquires the body contour of the upper half of the personnel in the video monitoring image, extracts an elbow cusp point, a shoulder cusp point and a point behind the ear on the body contour, connects the elbow cusp point with the shoulder cusp point, the connection line of the elbow cusp point and the shoulder cusp point is a first straight line, further connects the shoulder cusp point with the point behind the ear, and the connection line of the shoulder cusp point with the point behind the ear is a second straight line,
the conversation behavior analysis submodule acquires an angle theta formed by the first straight line and the second straight line and calculates
Figure FDA0003009466950000041
A value of (b), wherein θ0The angle threshold value is used for further judging the angle interval where the angle theta is positioned, when the angle theta is positioned in a certain angle interval, the time that the value of the angle theta is continuously positioned in the certain angle interval is counted, and when the angle theta is positioned in the certain angle interval
Figure FDA0003009466950000051
When the angle theta is smaller than or equal to a first preset value and the time of the angle theta in a certain interval is larger than or equal to a second preset value, the conversation behavior analysis submodule marks the corresponding person as a conversation person, and the conversation behavior analysis submodule is further provided with a conversation time threshold T0。
S2-1: the user position determining module is connected with the conversation behavior submodule and further acquires the real-time position of the person marked as the conversation person through the conversation behavior analyzing submodule,
the vehicle position module is connected with the vehicle type and age acquisition module, the vehicle noise value acquisition module and the vehicle noise database, and the vehicle position determination module acquires the real-time position of personnel and further acquires a call duration threshold T0With the real-time position of the person as the center of the circle, V X T0And establishing a circular search area for the radius, wherein V is the maximum driving speed of the vehicle within a certain range of the position of the call person, the vehicle position determining module further acquires the vehicle position information in the circular search area, and the vehicle type and vehicle age information of the vehicle with the determined position in the circular search area is acquired through the vehicle type and vehicle age acquiring module, and the vehicle noise value acquiring module finds the vehicle noise value data corresponding to the vehicle type and the vehicle age from the vehicle noise database according to the acquired vehicle type and vehicle age information.
S3-1: the vehicle noise value acquisition module is connected with the vehicle noise propagation range acquisition module, the vehicle noise propagation range acquisition module further acquires vehicle noise value data and searches a noise propagation range corresponding to the vehicle noise value in a vehicle noise database according to the vehicle noise value data, the noise propagation range is a circular propagation range taking a vehicle as a circle center and taking a noise propagation radius as a circle radius,
the method comprises the steps that the vehicle traveling route information of a vehicle with a determined position in a circular search area is further acquired through a vehicle traveling route acquisition module, first road information in a certain range of a reference point is acquired by taking the real-time position of a person as the reference point, whether the vehicle traveling route information contains the first road information or not is judged according to the acquired first road information and the vehicle traveling route information, and if the vehicle traveling route information contains the first road information, namely the corresponding vehicle can pass through a first road, the time of the corresponding vehicle reaching the first road is judged through a vehicle arrival time analysis module;
if the vehicle traveling route information does not contain the first road information, the corresponding vehicle does not pass through the first road.
S4-1: the vehicle arrival time analysis module is connected with the vehicle position determination module and the vehicleThe system comprises a travel route acquisition module and a user position determination module, wherein a vehicle arrival time analysis module further acquires a vehicle real-time position and personnel real-time position information, and records the vehicle position acquisition time when the vehicle real-time position information is acquired, wherein the vehicle position acquisition time is recorded as T1And intercepting road information between the real-time position of the vehicle and the real-time position of the personnel according to the vehicle traveling route information acquired by the vehicle traveling route acquisition module, wherein the road information comprises the length L of the road.
S5-1: the vehicle arrival time analysis module is also connected with a traffic light information acquisition module, the traffic light information acquisition module acquires road information between a vehicle real-time position and a personnel real-time position, further acquires the number of traffic lights on a road, the red light time and the green light time, and numbers the traffic lights, wherein the number of the traffic lights is n1、n2、n3、...、ni-1、niAnd recording the waiting time t of the vehicles at each traffic light on the road1、t2、t3、...、ti-1、tiFurther based on the maximum speed V of the vehicle on the road1And calculating the arrival time of the vehicle from the real-time position of the vehicle to the real-time position of the personnel at the waiting time of each traffic light, wherein the arrival time
Figure FDA0003009466950000061
Wherein, T1For the vehicle position acquisition time, L is the length of the road.
S6-1: the vehicle stopping time analysis module is connected with the user position determination module and the traffic light information acquisition module, acquires the real-time position of the personnel, and acquires the first road information within a certain range of the reference point by taking the real-time position of the personnel as the reference point,
the vehicle stopping time analysis module acquires the number of traffic lights, the red light time and the green light time at the first road according to the first road information, and calculates the waiting time of the vehicle at the first road according to the number of the traffic lights, the red light time and the green light timeThe elapsed time analysis module further analyzes the length L of the first road1And a waiting time tdCalculating the stopping time of the vehicle on the first road
Figure FDA0003009466950000062
Wherein, V1The vehicle stopping time analysis module is used for analyzing the maximum running speed of the vehicle on the first road according to the stopping time tjWith the vehicle arrival time TdCalculating the time node T of the vehicle leaving the first roadj＝Td+tj。
S7-1: the vehicle stopping time analysis module is connected with the optimal call position navigation module, the optimal call position navigation module is connected with the user call behavior judgment module, the vehicle noise propagation range acquisition module and the user position determination module, and the optimal call position navigation module further acquires a call duration threshold T of a user0The optimal communication position navigation module predicts the communication ending time of the current user according to the communication starting time and the communication duration threshold value, further obtains a vertical center line in the driving direction of the first road, calculates the shortest distance between the real-time position of the person and the vertical center line, compares the noise transmission radius with the shortest distance, and when the noise transmission radius is larger than or equal to the shortest distance and the communication ending time is larger than a time node TjAnd the optimal call position navigation module provides optimal call position navigation for the user.
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