CN113053096B - Traffic accident early warning method and device, storage medium and intelligent lamp pole - Google Patents

Traffic accident early warning method and device, storage medium and intelligent lamp pole Download PDF

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CN113053096B
CN113053096B CN201911361629.8A CN201911361629A CN113053096B CN 113053096 B CN113053096 B CN 113053096B CN 201911361629 A CN201911361629 A CN 201911361629A CN 113053096 B CN113053096 B CN 113053096B
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intelligent lamp
traffic information
lamp pole
traffic
information
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CN113053096A (en
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袁刚
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Dongguan Yulong Telecommunication Technology Co Ltd
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Dongguan Yulong Telecommunication Technology Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/166Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

The embodiment of the application discloses a traffic accident early warning method, a traffic accident early warning device, a storage medium and an intelligent lamp pole, wherein the method comprises the following steps: acquiring first traffic information of a first object acquired by a first intelligent lamp post; acquiring second traffic information of a second object acquired by a second intelligent lamp pole, wherein the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one second intelligent lamp pole; pre-judging whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information; and when the traffic accident is determined to occur, outputting early warning information to the first object and the second object respectively. Therefore, by adopting the embodiment of the application, the traffic accident to be happened can be accurately predicted and early warning can be carried out, so that the traffic accident can be avoided.

Description

Traffic accident early warning method and device, storage medium and intelligent lamp pole
Technical Field
The application relates to the technical field of computers, in particular to a traffic accident early warning method, a traffic accident early warning device, a storage medium and an intelligent lamp pole.
Background
In recent years, with the development of economy, the quantity of automobile ownership has rapidly increased, and at the same time, traffic accidents frequently occur, and when the traffic accidents are predicted to occur, drivers or pedestrians are judged to avoid the accidents according to experience. Avoidance choices made empirically are often not optimal choices, and because drivers and pedestrians, and drivers and other drivers have no way to communicate directly, greater accidents are likely to occur.
Disclosure of Invention
The embodiment of the application provides a traffic accident early warning method and device, a storage medium and an intelligent lamp pole, which can accurately predict an impending traffic accident and perform early warning, so that the traffic accident can be avoided.
The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a traffic accident early warning method, where the method includes:
acquiring first traffic information of a first object acquired by a first intelligent lamp pole;
acquiring second traffic information of a second object acquired by a second intelligent lamp pole, wherein the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one second intelligent lamp pole;
pre-judging whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information;
and when the traffic accident is determined to occur, outputting early warning information to the first object and the second object respectively.
In a second aspect, an embodiment of the present application provides a traffic accident early warning device, where the device includes:
the first information acquisition module is used for acquiring first traffic information of a first object acquired by the first intelligent lamp pole;
the second information acquisition module is used for acquiring second traffic information of a second object acquired by a second intelligent lamp pole, the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one lamp pole;
the accident pre-judging module is used for pre-judging whether a traffic accident happens to the first object and the second object based on the first traffic information and the second traffic information;
and the early warning information output module is used for respectively outputting early warning information to the first object and the second object when determining that a traffic accident occurs.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides an intelligent light pole, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
in the embodiment of the application, a first intelligent lamp pole acquires first traffic information of a first object acquired by the first intelligent lamp pole, acquires second traffic information of a second object acquired by a second intelligent lamp pole adjacent to the first intelligent lamp pole, pre-judges whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information, and outputs early warning information to the first object and the second object respectively when the traffic accidents are determined to happen. The coverage area of each intelligent lamp pole is limited, and through interaction and calculation of a plurality of intelligent lamp poles, the traffic accident about to happen can be accurately pre-judged and early-warning is carried out, so that the traffic accident can be avoided, and the driving safety and the personal and property safety are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a traffic accident warning method according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an intelligent lamp pole system provided in an embodiment of the present application;
fig. 3 is an exemplary schematic diagram of a layout structure of an intelligent light pole provided in an embodiment of the present application;
fig. 4 is an exemplary diagram illustrating a moving state of a first object and a moving state of a second object according to an embodiment of the present disclosure;
fig. 5 is an exemplary diagram illustrating a moving state of a first object and a second object according to an embodiment of the disclosure;
fig. 6 is a schematic flow chart of a traffic accident warning method according to an embodiment of the present disclosure;
fig. 7 is an exemplary schematic diagram of a moving scene of a vehicle and a pedestrian according to an embodiment of the present application;
FIG. 8 is a schematic diagram illustrating example hinting video content provided by an embodiment of the application;
fig. 9 is a schematic structural diagram of a traffic accident warning device according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of a traffic accident warning device according to an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of an intelligent lamp pole provided in the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The traffic accident early warning method provided by the embodiment of the present application will be described in detail below with reference to fig. 1 to 8. The method can be implemented by relying on a computer program and can be run on a von Neumann system-based traffic accident early warning device. The computer program may be integrated into the application or may run as a separate tool-like application. Wherein, traffic accident early warning device in this application embodiment can be intelligent lamp pole.
Please refer to fig. 1, which is a schematic flow chart of a traffic accident warning method according to an embodiment of the present disclosure. As shown in fig. 1, the method of the embodiment of the present application may include the steps of:
s101, acquiring first traffic information of a first object acquired by a first intelligent lamp post;
the intelligent lamp pole integrates multiple functions of intelligent lighting, weather stations, air quality monitoring, urban WiFi coverage, video monitoring, charging piles, LED information issuing, information interaction, one-key alarming, micro base stations and the like on the basis of a traditional lighting function lamp pole, and the lamp pole becomes an infrastructure platform of a smart city perception layer for information acquisition, information issuing, information transmission and intelligent application.
As shown in fig. 2, the system structure of the intelligent lamp pole mainly includes: the system comprises modules such as audio and video equipment, camera equipment, lighting equipment, a logic control unit, a setting unit and a storage unit.
Audio-video devices are used to provide audio-video services, such as: providing instant video, alarm function for vehicles and pedestrians.
The camera equipment is used for carrying out video monitoring and recording the traffic condition near the lamp post.
The setting unit is used for presetting parameters, such as the speed of the vehicle, whether barrier shielding exists or not, and the like. The storage unit is used for storing necessary data information of the system.
The logic control unit provides various services for calculation and decision-making, triggering alarm actions (such as field ringing or video emergency prompts), and transmitting information to the background monitoring center. The communication module is used for transmitting the number information of the lamp post to an adjacent lamp post or a background.
In the embodiment of the application, the video monitoring function of the intelligent lamp pole is mainly utilized.
Be provided with the camera on first intelligent lamp pole for the traffic information of control covered area. The first object is a moving object, such as a vehicle or a pedestrian, within the coverage area. Of course, the first object may also be an obstacle.
The first object may include at least one. The first traffic information of the first object may be information such as a moving speed, a moving direction, and a distance from an intersection.
In a feasible implementation mode, the first intelligent lamp pole collects monitoring videos in real time through the camera and caches the monitoring videos, and then analyzes the monitoring videos to generate first traffic information of the first object.
S102, second traffic information of a second object acquired by a second intelligent lamp pole is acquired, the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one lamp pole;
the preset distance range can be understood as an area formed by taking the position of the first intelligent lamp pole as the center of a circle and taking the preset distance as the radius. At least one second intelligent light pole is included within the preset distance range of the first intelligent light pole, as shown in fig. 3.
Similarly, a camera is also arranged on the second intelligent lamp pole and used for monitoring traffic information of the covered area. The second object is a moving object, such as a vehicle or a pedestrian, within the coverage area. Of course, the second object may also be an obstacle.
The second object may include at least one. The second traffic information of the second object may be information such as a moving speed, a moving direction, and a distance from an intersection.
Similarly, the second intelligent lamp pole collects the monitoring video in real time through the camera and caches the monitoring video, when a video acquisition request sent by the first intelligent lamp pole is received, the cached video is sent to the first intelligent lamp pole, the first intelligent lamp pole analyzes the video to obtain second traffic information of the second object, or the second intelligent lamp pole analyzes the video to obtain the second traffic information of the second object.
It should be noted that the second traffic information of the second object is continuously collected by the second intelligent lamp pole in real time, so that the collected information is continuously sent to the first intelligent lamp pole, and it can be ensured that the first intelligent lamp pole can accurately and timely make a prejudgment when performing calculation and analysis based on the second traffic information.
S103, pre-judging whether traffic accidents occur to the first object and the second object based on the first traffic information and the second traffic information;
in one possible implementation scenario, the first object and the second object are both moving objects. The first traffic information comprises a first moving speed and a first position, the second traffic information comprises a second moving speed and a second position, the first intelligent lamp pole calculates a first distance between the first position and a destination, calculates a first time when the first object reaches the destination based on the first moving speed and the first distance, calculates a second distance between the second position and the destination, calculates a second time when the second object reaches the destination based on the second moving speed and the second distance, and determines that a traffic accident occurs between the first object and the second object if the first time is equal to the second time, otherwise, the traffic accident does not occur.
For example, as shown in fig. 4, a is a first intelligent lamp post, B is a second intelligent lamp post, a collects driving information of a driving vehicle, and acquires collected movement information of a pedestrian suddenly appearing from B, and determines whether the times of the two reaching the intersection are the same, if yes, it is determined that the two will collide with each other.
In another possible implementation scenario, the first object is a moving object, the second object is an obstacle, the first traffic information includes a moving direction, the second traffic information includes an obstacle position, and it is predicted whether the first object passes through the obstacle position based on the moving direction to determine whether a traffic accident may occur.
For example, as shown in fig. 5, a is a first intelligent lamp pole, B is a second intelligent lamp pole, a collects the driving direction of a driving vehicle, and acquires the collected position information of the sewer manhole cover from B to determine whether the vehicle will pass through the position of the manhole cover.
Alternatively, the driver may not be able to see the impending danger due to obstruction by the obstacle, which may also lead to a traffic accident.
And S104, when the traffic accident is determined to happen, outputting early warning information to the first object and the second object respectively.
And if the first time is equal to the second time, determining that a traffic accident can occur, generating a video containing the first traffic information and the second traffic information, displaying the video on the first intelligent lamp pole, and sending the video to the second intelligent lamp pole for displaying, so that pedestrians and vehicle drivers can watch the video conveniently to make emergency adjustment, and further the traffic accident is avoided.
Furthermore, the videos can be respectively sent to the first object and the second object, and an alarm prompt is sent to the first object and the second object in an audio mode.
In the embodiment of the application, a first intelligent lamp pole acquires first traffic information of a first object acquired by the first intelligent lamp pole, acquires second traffic information of a second object acquired by a second intelligent lamp pole adjacent to the first intelligent lamp pole, pre-judges whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information, and outputs early warning information to the first object and the second object respectively when the traffic accidents are determined to happen. The coverage area of each intelligent lamp pole is limited, and through interaction and calculation of a plurality of intelligent lamp poles, the traffic accident about to happen can be accurately pre-judged and early-warning is carried out, so that the traffic accident can be avoided, and the driving safety and the personal and property safety are improved.
Fig. 6 is a schematic flow chart of a traffic accident warning method according to an embodiment of the present disclosure. The traffic accident early warning method can comprise the following steps:
s201, acquiring first traffic information of a first object acquired by a first intelligent lamp pole, wherein the first traffic information comprises a first moving speed and a first position;
see S101 for details, which are not described herein again.
S202, judging whether the first moving speed is greater than or equal to a speed threshold value;
the speed threshold comprises a driving speed threshold or a pedestrian movement speed threshold.
And when the moving object is a vehicle, the speed threshold is a driving speed threshold. The speed threshold can be understood as the highest value of the safe driving speed, and beyond the threshold, the driving risk exists.
When the moving object is a pedestrian, the speed threshold is a pedestrian speed threshold. The speed threshold is understood to be the highest value of the safe walking speed, and if the speed threshold is exceeded, the brake may be in short time to cause traffic accidents.
S203, if so, acquiring second traffic information of a second object acquired by a second intelligent lamp pole, wherein the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, the second intelligent lamp pole comprises at least one, and the second traffic information comprises a second moving speed and a second position;
when the first moving speed is greater than or equal to the speed threshold, it is indicated that the first object is fast in moving speed, sometimes the brake is too late, and a traffic accident may occur, so that it is necessary to judge whether other moving objects or obstacles exist in the moving direction, and further acquire second traffic information acquired by the second intelligent lamp pole in the moving direction.
The first intelligent lamp pole acquires the second traffic information of the second object acquired by the second intelligent lamp pole, which may be referred to as S102 specifically, and details are not described here.
S204, calculating a first distance between the first position and a destination, and calculating a first time for the first object to reach the destination based on the first moving speed and the first distance;
the destination may be understood as the intersection of the first object with the second object in the respective direction of movement.
For example, as shown in fig. 7, a first smart light pole a collects traffic information of a first object (a running vehicle), a second smart light pole B collects movement information of a second object (a suddenly appearing pedestrian), and the movement of the vehicle and the pedestrian is crossed with S, which is the destination.
Since a pedestrian is stopped by a vehicle parked on the roadside during the movement, the vehicle cannot see the pedestrian clearly, and when the moving speed of the vehicle is high, there is a high possibility that the pedestrian collides with the vehicle.
A first distance S1 between the first position of the vehicle and S is calculated, then the first time T1 for the vehicle to reach S is S1/V1.
S205, calculating a second distance between the second position and the destination, and calculating a second time when the second object reaches the destination based on the second moving speed and the second distance;
a first distance S2 between the second position of the pedestrian and S is calculated, and a second time T2 for the pedestrian to reach S is S2/V2.
S206, pre-judging whether traffic accidents can happen to the first object and the second object based on the first time and the second time;
if T1 is equal to T2, it indicates that the time of the vehicle and the pedestrian passing the point S is the same, and it is predicted that the first object and the second object can have a traffic accident. If T1 is not equal to T2, it indicates that the time for the vehicle and the pedestrian to pass the S point is different, and it is predicted that no traffic accident occurs between the first object and the second object.
S207, if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
when the traffic accident is predicted to happen, a dynamic effect graph from the current position to the collision of the first object and the second object is generated.
For example, a video including a plurality of frame images as shown in fig. 8 is generated, showing a dynamic effect of a collision of a vehicle with a pedestrian.
S208, displaying the video on the first intelligent lamp pole, and sending the video to the second intelligent lamp pole for displaying.
And the first intelligent lamp pole and the second intelligent lamp pole are respectively provided with a display screen. The video is displayed on the first intelligent lamp pole and the second intelligent lamp pole respectively, so that the first object and the second object can be adjusted conveniently in time after the video is watched. Provides visual field for both traffic accident parties in advance to avoid accidents.
Optionally, the first intelligent lamp post sends the video to the first object and the second object respectively, and sends an alarm prompt to the first object and the second object in an audio mode, so that the first object and/or the second object can be adjusted in time when the video displayed on the intelligent lamp post is not viewed, and traffic accidents are avoided.
S209, the first traffic information and the second traffic information are sent to a command center for recording.
In the embodiment of the application, a first intelligent lamp pole acquires first traffic information of a first object acquired by the first intelligent lamp pole, when the first object is determined to move at a speed greater than a speed threshold value, second traffic information of a second object acquired by a second intelligent lamp pole close to the first intelligent lamp pole is acquired, whether a traffic accident occurs between the first object and the second object is judged in advance based on the first traffic information and the second traffic information, and when the traffic accident occurs, early warning information is displayed to the first object and the second object through a display screen of the intelligent lamp pole respectively. The coverage of every intelligent lamp pole is limited, through the interaction and the calculation of a plurality of intelligent lamp poles, can accurately predict the traffic accident that will take place and carry out the early warning, utilizes intelligent lamp pole screen, and driver and pedestrian can both see the rear field of vision of barrier, and then can avoid the emergence of traffic accident, have improved the security of driving safety nature and personal property.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Please refer to fig. 9, which shows a schematic structural diagram of a traffic accident warning device according to an exemplary embodiment of the present application. The traffic accident early warning device can be realized to be all or a part of the intelligent lamp pole through software, hardware or the combination of the software and the hardware. The device 1 comprises a first information acquisition module 10, a second information acquisition module 20, a traffic accident pre-judging module 30 and an early warning information output module 40.
The first information acquisition module 10 is used for acquiring first traffic information of a first object acquired by a first intelligent lamp pole;
the second information obtaining module 20 is configured to obtain second traffic information of a second object, which is collected by a second intelligent lamp pole, where a distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole includes at least one;
a traffic accident prediction module 30, configured to predict whether a traffic accident will occur between the first object and the second object based on the first traffic information and the second traffic information;
and the early warning information output module 40 is configured to output early warning information to the first object and the second object respectively when it is determined that a traffic accident may occur.
Optionally, as shown in fig. 10, the first traffic information includes a moving speed, and the apparatus further includes:
a moving speed judging module 50, configured to judge whether the moving speed is greater than or equal to a speed threshold;
if yes, the second information obtaining module 20 is triggered to obtain second traffic information of the second object collected by the second intelligent lamp pole.
Optionally, the first traffic information includes a moving direction, the second traffic information includes an obstacle position, and the traffic accident prediction module 30 is specifically configured to:
predicting whether the first object passes the obstacle position based on the moving direction.
Optionally, the first traffic information includes a first moving speed and a first position, the second traffic information includes a second moving speed and a second position, and the traffic accident prediction module 30 is specifically configured to:
calculating a first distance between the first location and a destination, calculating a first time for the first object to reach the destination based on the first movement speed and the first distance;
calculating a second distance between the second location and the destination, calculating a second time for the second object to reach the destination based on the second moving speed and the second distance;
and predicting whether traffic accidents can occur to the first object and the second object based on the first time and the second time.
Optionally, the early warning information output module 40 is specifically configured to:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and displaying the video on the first intelligent lamp pole, and sending the video to the second intelligent lamp pole for displaying.
Optionally, the early warning information output module 40 is specifically configured to:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and respectively sending the video to the first object and the second object, and sending an alarm prompt to the first object and the second object in an audio mode.
Optionally, as shown in fig. 10, the apparatus further includes a traffic information sending module 60, configured to:
and sending the first traffic information and the second traffic information to a command center for recording.
It should be noted that, when the traffic accident warning device provided in the foregoing embodiment executes the traffic accident warning method, only the division of the functional modules is used for illustration, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the traffic accident early warning device provided by the above embodiment and the traffic accident early warning method embodiment belong to the same concept, and the detailed implementation process thereof is referred to the method embodiment, which is not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
In the embodiment of the application, a first intelligent lamp pole acquires first traffic information of a first object acquired by the first intelligent lamp pole, when the first object is determined to move at a speed greater than a speed threshold value, second traffic information of a second object acquired by a second intelligent lamp pole close to the first intelligent lamp pole is acquired, whether a traffic accident can occur between the first object and the second object is pre-judged based on the first traffic information and the second traffic information, and when the traffic accident is determined to occur, early warning information is respectively displayed to the first object and the second object through a display screen of the intelligent lamp pole. The coverage of every intelligent lamp pole is limited, through the interaction and the calculation of a plurality of intelligent lamp poles, can accurately predict the traffic accident that will take place and carry out the early warning, utilizes intelligent lamp pole screen, and driver and pedestrian can both see the rear field of vision of barrier, and then can avoid the emergence of traffic accident, have improved the security of driving safety nature and personal property.
An embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the method steps in the embodiments shown in fig. 1 to 8, and a specific execution process may refer to specific descriptions of the embodiments shown in fig. 1 to 8, which are not described herein again.
Please refer to fig. 11, which provides a schematic structural diagram of an intelligent light pole according to an embodiment of the present application. As shown in fig. 11, the smart light pole 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Processor 1001 may include one or more processing cores, among other things. The processor 1001 connects various parts throughout the intelligent light pole 1000 using various interfaces and wires, and performs various functions of the intelligent light pole 1000 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and calling up data stored in the memory 1005. Alternatively, the processor 1001 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1001 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the above modem may not be integrated into the processor 1001, and may be implemented by a single chip.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 11, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a traffic accident warning application program.
In the intelligent light pole 1000 shown in fig. 11, the user interface 1003 is mainly used to provide an input interface for a user to obtain data input by the user; the processor 1001 may be configured to call the traffic accident warning application stored in the memory 1005, and specifically perform the following operations:
acquiring first traffic information of a first object acquired by a first intelligent lamp pole;
acquiring second traffic information of a second object acquired by a second intelligent lamp pole, wherein the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one second intelligent lamp pole;
pre-judging whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information;
and when the traffic accident is determined to occur, outputting early warning information to the first object and the second object respectively.
In one embodiment, the first traffic information includes a moving speed, and the processor 1001, after performing the step of acquiring the first traffic information of the first object collected by the first smart light pole, further performs the following steps:
judging whether the moving speed is greater than or equal to a speed threshold value;
and if so, executing the step of acquiring second traffic information of the second object acquired by the second intelligent lamp pole.
In one embodiment, the first traffic information includes a moving direction, the second traffic information includes an obstacle position, and the processor 1001 performs the following operations when predicting whether a traffic accident will occur between the first object and the second object based on the first traffic information and the second traffic information:
predicting whether the first object passes the obstacle position based on the moving direction.
In one embodiment, the first traffic information includes a first moving speed and a first position, the second traffic information includes a second moving speed and a second position, and the processor 1001 performs the following operations when predicting whether a traffic accident will occur between the first object and the second object based on the first traffic information and the second traffic information:
calculating a first distance between the first location and a destination, calculating a first time for the first object to reach the destination based on the first moving speed and the first distance;
calculating a second distance between the second location and the destination, calculating a second time for the second object to reach the destination based on the second moving speed and the second distance;
and predicting whether traffic accidents can happen to the first object and the second object based on the first time and the second time.
In one embodiment, when the processor 1001 outputs the warning information to the first object and the second object respectively when determining that the traffic accident may occur, the following operations are specifically performed:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and displaying the video on the first intelligent lamp pole, and sending the video to the second intelligent lamp pole for displaying.
In one embodiment, when the processor 1001 outputs the warning information to the first object and the second object respectively when determining that the traffic accident may occur, the following operations are specifically performed:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and respectively sending the video to the first object and the second object, and sending an alarm prompt to the first object and the second object in an audio mode.
In one embodiment, the processor 1001, after performing outputting the warning information to the first object and the second object respectively, further performs the following operations:
and sending the first traffic information and the second traffic information to a command center for recording.
In the embodiment of the application, a first intelligent lamp pole acquires first traffic information of a first object acquired by the first intelligent lamp pole, when the first object is determined to move at a speed greater than a speed threshold value, second traffic information of a second object acquired by a second intelligent lamp pole close to the first intelligent lamp pole is acquired, whether a traffic accident can occur between the first object and the second object is pre-judged based on the first traffic information and the second traffic information, and when the traffic accident is determined to occur, early warning information is respectively displayed to the first object and the second object through a display screen of the intelligent lamp pole. The coverage of every intelligent lamp pole is limited, through the interaction and the calculation of a plurality of intelligent lamp poles, can accurately predict the traffic accident that will take place and carry out the early warning, utilizes intelligent lamp pole screen, and driver and pedestrian can both see the rear field of vision of barrier, and then can avoid the emergence of traffic accident, have improved the security of driving safety nature and personal property.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims (9)

1. A traffic accident early warning method is applied to a first intelligent lamp pole and comprises the following steps:
acquiring first traffic information of a first object acquired by a first intelligent lamp pole;
acquiring second traffic information of a second object acquired by a second intelligent lamp pole, wherein the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the second intelligent lamp pole comprises at least one second intelligent lamp pole;
pre-judging whether traffic accidents can happen to the first object and the second object based on the first traffic information and the second traffic information;
when it is determined that a traffic accident occurs, outputting early warning information to the first object and the second object respectively;
wherein, first traffic information includes the travel speed, after obtaining the first traffic information of the first object that first intelligent lamp pole was gathered, still include:
judging whether the moving speed is greater than or equal to a speed threshold value, wherein the speed threshold value comprises a driving speed threshold value or a pedestrian moving speed threshold value;
and if so, executing the step of acquiring second traffic information of the second object acquired by the second intelligent lamp pole.
2. The method of claim 1, wherein the first traffic information comprises a moving direction, the second traffic information comprises an obstacle position, and the predicting whether the first object and the second object are likely to have a traffic accident based on the first traffic information and the second traffic information comprises:
predicting whether the first object passes the obstacle position based on the moving direction.
3. The method of claim 1, wherein the first traffic information comprises a first moving speed and a first position, the second traffic information comprises a second moving speed and a second position, and the predicting whether the first object and the second object are likely to have a traffic accident based on the first traffic information and the second traffic information comprises:
calculating a first distance between the first location and a destination, calculating a first time for the first object to reach the destination based on the first movement speed and the first distance;
calculating a second distance between the second location and the destination, calculating a second time for the second object to reach the destination based on the second moving speed and the second distance;
and predicting whether traffic accidents can happen to the first object and the second object based on the first time and the second time.
4. The method according to claim 3, wherein the outputting of the warning information to the first object and the second object, respectively, upon determining that the traffic accident may occur, comprises:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and displaying the video on the first intelligent lamp pole, and sending the video to the second intelligent lamp pole for displaying.
5. The method according to claim 3, wherein the outputting of the warning information to the first object and the second object, respectively, upon determining that the traffic accident may occur, comprises:
if the first time is equal to a second time, generating a video containing the first traffic information and the second traffic information;
and respectively sending the video to the first object and the second object, and sending an alarm prompt to the first object and the second object in an audio mode.
6. The method of claim 1, wherein after outputting the warning information to the first object and the second object, respectively, further comprising:
and sending the first traffic information and the second traffic information to a command center for recording.
7. A traffic accident warning apparatus, characterized in that the apparatus comprises:
the first information acquisition module is used for acquiring first traffic information of a first object acquired by the first intelligent lamp pole;
the second information acquisition module is used for acquiring second traffic information of a second object acquired by a second intelligent lamp pole, the distance between the first intelligent lamp pole and the second intelligent lamp pole is within a preset distance range, and the number of the second intelligent lamp poles is at least one;
the accident pre-judging module is used for pre-judging whether a traffic accident happens to the first object and the second object based on the first traffic information and the second traffic information;
the early warning information output module is used for respectively outputting early warning information to the first object and the second object when determining that a traffic accident occurs;
wherein the first traffic information includes a moving speed, the apparatus further comprising:
the moving speed judging module is used for judging whether the moving speed is greater than or equal to a speed threshold value, and the speed threshold value comprises a driving speed threshold value or a pedestrian moving speed threshold value;
if yes, the second information acquisition module (20) is triggered to acquire second traffic information of the second object acquired by the second intelligent lamp pole.
8. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to perform the method steps according to any of claims 1 to 6.
9. An intelligent light pole, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 6.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116978236B (en) * 2023-09-25 2023-12-15 南京隼眼电子科技有限公司 Traffic accident early warning method, device and storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105374231A (en) * 2014-08-27 2016-03-02 中国移动通信集团公司 Early warning method, device and system
CN107424411A (en) * 2017-07-24 2017-12-01 京东方科技集团股份有限公司 Street lamp integrating device, road lamp system and communication means
CN107742442A (en) * 2017-10-31 2018-02-27 奇瑞汽车股份有限公司 Street lamp early warning system, method, computer-readable recording medium
CN108200709A (en) * 2018-02-09 2018-06-22 张家港江苏科技大学产业技术研究院 Intelligent streetlamp monitoring system
CN109559520A (en) * 2018-12-30 2019-04-02 广西数创智能科技有限公司 A kind of intelligent traffic monitoring system
CN109640495A (en) * 2019-01-28 2019-04-16 赵妍 The street lamp intelligent control and interactive managing system for being acquired and being analyzed based on big data
CN109841043A (en) * 2019-01-11 2019-06-04 安徽科大国创软件科技有限公司 A kind of city intelligent lamp stand supervising platform and the system based on the platform
CN109887295A (en) * 2019-04-15 2019-06-14 福建工程学院 A kind of traffic monitoring method based on street lamp block chain technology
CN110189548A (en) * 2019-07-05 2019-08-30 邹庆伟 A kind of road conditions method for early warning, system and equipment

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6239511B2 (en) * 2011-08-31 2017-11-29 ケーエムダブリュ・インコーポレーテッド Safe driving information provision streetlight and safe driving information provision system using the streetlight
US9622323B2 (en) * 2013-11-21 2017-04-11 General Electric Company Luminaire associate
CN105307311A (en) * 2014-06-30 2016-02-03 中兴通讯股份有限公司 Street lamp control method and device
US10049566B2 (en) * 2016-03-02 2018-08-14 Michael E. Shanahan Systems and methods for intra-vehicle pedestrian and infrastructure communication
JP2018054498A (en) * 2016-09-29 2018-04-05 パナソニックIpマネジメント株式会社 Notification apparatus and street light system
JP6658692B2 (en) * 2017-07-31 2020-03-04 トヨタ自動車株式会社 Driving support device
CN108200708A (en) * 2018-02-07 2018-06-22 宁夏乐智博科技有限公司 Control method and intelligent road-lamp
CN108492584A (en) * 2018-03-19 2018-09-04 中国电子科技集团公司第三十八研究所 A kind of traffic accident alarm method and device based on wisdom lamp stand
CN110312352A (en) * 2019-06-20 2019-10-08 湖北亮诚光电科技有限公司 A kind of wisdom street lamp integrated control cloud platform

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105374231A (en) * 2014-08-27 2016-03-02 中国移动通信集团公司 Early warning method, device and system
CN107424411A (en) * 2017-07-24 2017-12-01 京东方科技集团股份有限公司 Street lamp integrating device, road lamp system and communication means
CN107742442A (en) * 2017-10-31 2018-02-27 奇瑞汽车股份有限公司 Street lamp early warning system, method, computer-readable recording medium
CN108200709A (en) * 2018-02-09 2018-06-22 张家港江苏科技大学产业技术研究院 Intelligent streetlamp monitoring system
CN109559520A (en) * 2018-12-30 2019-04-02 广西数创智能科技有限公司 A kind of intelligent traffic monitoring system
CN109841043A (en) * 2019-01-11 2019-06-04 安徽科大国创软件科技有限公司 A kind of city intelligent lamp stand supervising platform and the system based on the platform
CN109640495A (en) * 2019-01-28 2019-04-16 赵妍 The street lamp intelligent control and interactive managing system for being acquired and being analyzed based on big data
CN109887295A (en) * 2019-04-15 2019-06-14 福建工程学院 A kind of traffic monitoring method based on street lamp block chain technology
CN110189548A (en) * 2019-07-05 2019-08-30 邹庆伟 A kind of road conditions method for early warning, system and equipment

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