A highway traffic early warning method and early warning system based on a new energy power supply

Abstract

The application discloses a kind of based on new energy power supply under the expressway traffic warning method and early warning system, including obtaining early warning time;Determine the time t0 of vehicle driving into first monitoring subinterval;If in t0+t1 time, no vehicle driving out first monitoring subinterval is monitored, preliminary warning is carried out;If in t0+t2 time, vehicle driving out second monitoring subinterval is monitored, early warning is released;If still no vehicle driving out is monitored, traffic problem is judged to occur, and early warning is continued;The shooting content of monitoring camera in monitoring interval is obtained, compared and analyzed, confirm whether traffic problem occurs and the section where it occurs, then early warning is released or continued.The early warning method and early warning system of the application are based on new energy power supply, and whether traffic problem occurs is preliminarily judged by judging whether fixed road section vehicle passes in a short time, which can adapt to complex environment of expressway, independently and stably operate, and effectively early warning can be carried out, reduce vehicle travel risk.

Description

Technical Field

[0001] This invention relates to the fields of new energy and traffic early warning technology, and in particular to a highway traffic early warning method and system based on new energy power sources. Background Technology

[0002] With the increasing prevalence of vehicles and the continuous expansion of the highway network, driving on highways has become one of the mainstream modes of transportation. However, the resulting traffic safety hazards cannot be ignored, especially the frequent chain-reaction rear-end collisions and damage to traffic facilities on highways, all of which pose significant risks to vehicles in motion. An effective highway traffic warning method is needed.

[0003] Furthermore, with the rapid expansion of the highway network, critical equipment such as video surveillance and data processing units along the routes are increasingly reliant on a continuous and stable power supply. However, the existing power supply model faces severe challenges. In sections near towns, equipment typically relies on grid power drawn from the public power grid. In remote mountainous areas and wilderness areas where the grid is difficult to cover, extensive use of self-built dedicated power lines is necessary, which are costly to construct and difficult to maintain. Both models have significant drawbacks: laying long-distance lines is extremely expensive and highly susceptible to damage from severe weather and geological disasters, leading to power outages; traditional power supply methods are also ill-suited to the dispersed nature of equipment and fluctuating loads, failing to meet the high requirements of green, low-carbon, and emergency preparedness. Once a power outage occurs, critical equipment will cease operation, directly impacting traffic safety monitoring and emergency response capabilities.

[0004] It is evident that the existing highway traffic early warning methods and systems described above still have inconveniences and shortcomings, and urgently need further improvement. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a highway traffic early warning method and system based on new energy power sources, which can adapt to the complex environment of highways, operate independently and stably, and effectively provide early warnings to reduce the risk of vehicle travel.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a highway traffic early warning method based on new energy power sources, which divides the highway into multiple monitoring sections, each monitoring section including a first monitoring sub-section and a second monitoring sub-section connected to the first monitoring sub-section; a monitoring camera is installed at the beginning and end of each monitoring sub-section, and the early warning method for each monitoring section includes:

[0008] The time for obtaining the early warning; among which: ; In the formula, The warning time is determined by the first monitoring sub-interval. The total warning time is the time spent in the first and second monitoring sub-intervals. This is the minimum speed limit stipulated for domestic expressways. The length of the first monitoring sub-interval. This is the length of the second monitoring sub-interval; , These are the corresponding time redundancy coefficients, and different time redundancy errors are set according to different road conditions and vehicle types.

[0009] The time t0 when a vehicle enters the first monitoring sub-interval is determined based on the surveillance camera set at the beginning of the first monitoring sub-interval.

[0010] If, within the time interval t0+t1, the surveillance camera at the end of the first monitoring sub-interval does not detect the vehicle leaving the first monitoring sub-interval, a preliminary warning will be issued;

[0011] If, within time t0+t2, the surveillance camera at the end of the second monitoring sub-section detects a vehicle leaving the second monitoring sub-section, it is determined that no traffic problem has occurred in that monitoring section, and the warning is lifted; if no vehicle is detected leaving the second monitoring sub-section, it is determined that a traffic problem has occurred in that monitoring section, and the warning continues.

[0012] The system acquires the footage captured by surveillance cameras within the monitoring area, compares and analyzes the footage to confirm whether a traffic problem has occurred and in which section it has occurred, and then cancels or continues the warning.

[0013] The warning includes a warning to slow down vehicles approaching from behind.

[0014] As a further improvement of the present invention, the cameras at the beginning and end are installed on the highway gantry or on the crash barriers on both sides of the highway.

[0015] Furthermore, on straight road sections under normal weather conditions and on straight highways, the time redundancy coefficient... , The boundary conditions are:

[0016] ;

[0017] Time redundancy coefficient on straight road sections under adverse weather conditions and on straight highways , The boundary conditions are:

[0018] .

[0019] Furthermore, while acquiring the footage captured by surveillance cameras within the monitoring area, drones are simultaneously activated to conduct investigations, determine whether traffic problems have occurred and in which sections they have occurred, and lift or continue the warning based on the assessment results.

[0020] Furthermore, within the monitoring range, if there is a service area, the warning monitoring for that vehicle will be lifted when the service area entrance camera detects a vehicle entering the service area; the warning monitoring will resume once the service area exit camera detects the vehicle leaving the service area and entering the highway.

[0021] Furthermore, all vehicles are monitored, and an alert is issued if any vehicle fails to leave the area.

[0022] Secondly, the present invention also provides a highway traffic early warning system based on new energy power supply, which divides the highway into multiple monitoring intervals, each monitoring interval including a first monitoring sub-interval and a second monitoring sub-interval connected to the first monitoring sub-interval; a monitoring camera is set at the beginning and end of each monitoring sub-interval, and the monitoring camera is connected to the processor of the local data center, and both the monitoring camera and the local data center are powered by new energy power supply.

[0023] The processor is used to execute the highway traffic early warning method under new energy power sources as described above.

[0024] Furthermore, the cameras at the beginning and end are installed on the highway gantry or on the crash barriers on both sides of the highway.

[0025] Furthermore, the new energy power source includes a wind power generation system, a photovoltaic power generation system, and a roadside energy storage system. The photovoltaic power generation system, the roadside energy storage system, and the processor of the local data center are deployed along the highway.

[0026] Thirdly, the present invention also provides a computer program product, the computer program product including computer program instructions, which, when executed by a processor, implement the steps of the highway traffic early warning method based on new energy power sources as described above.

[0027] The present invention relates to a highway traffic early warning method and system based on new energy power sources. The highway is divided into multiple monitoring intervals, and each monitoring interval is further divided into two monitoring sub-intervals. The system monitors passing vehicles and makes a preliminary judgment on whether a traffic problem has occurred in the area by determining whether a vehicle passes through the monitoring sub-interval within the warning time. The method of combining the judgment of the two monitoring sub-intervals can effectively prevent serious chain-reaction rear-end collisions on highways under extreme weather or local microclimate conditions. It can also simultaneously monitor the traffic and usage conditions of nearby road and bridge facilities. If an accident or change in traffic conditions is detected, the system can issue a warning to vehicles in the oncoming direction within a short time (as fast as seconds) to prompt them to slow down and reduce the occurrence of accidents.

[0028] This invention relates to a highway traffic early warning method and system based on new energy power sources. The system utilizes an integrated wind, solar, and energy storage power system to provide a continuous, reliable, and stable power supply for key equipment within the highway network (monitoring cameras, drones, and local data processing centers, etc.). This system fully leverages renewable energy sources such as wind and solar power, achieving smooth energy output through efficient energy storage devices. This ensures that critical monitoring and processing equipment can continue to operate normally even when the power grid supply is unstable or interrupted, thereby enabling short-term early warning of oncoming traffic in the event of highway accidents or road infrastructure damage. Attached Figure Description

[0029] The above is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] Figure 1 This is a schematic diagram of a highway traffic early warning system based on new energy power supply in one embodiment of the present invention;

[0031] Figure 2 This is a schematic diagram of the power supply principle of a new energy power source in one embodiment of the present invention;

[0032] Figure 3 This is a flowchart of a highway traffic early warning method based on new energy power sources, according to one embodiment of the present invention.

[0033] In the diagram, 1-Wind power generation system; 2-Photovoltaic power generation system; 3-Roadside energy storage system; 4-Local data center; 5-Surveillance camera; 6-Service area power supply; 7-Drone power supply. Detailed Implementation

[0034] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that a more thorough understanding of the invention will be achieved and that the full scope of the invention will be conveyed to those skilled in the art.

[0035] This embodiment provides a highway traffic early warning method based on new energy power supply. The early warning method is based on a highway traffic early warning system based on new energy power supply, which divides the highway into multiple monitoring intervals. Each monitoring interval includes a first monitoring sub-interval and a second monitoring sub-interval connected to the first monitoring sub-interval. A monitoring camera is set at the beginning and end of each monitoring sub-interval. The monitoring cameras are all connected to the processor of the local data center. Both the monitoring cameras and the local data center are powered by new energy power supply.

[0036] Specifically, the aforementioned monitoring cameras at the beginning and end of the highway can be installed according to the actual conditions of the highway. They can be installed on highway gantries, such as ETC gantries; or they can be installed on the guardrails on both sides of the highway, and when installed on the guardrails, they can be installed symmetrically. Figure 1 As shown, A1 is a monitoring camera located at the beginning of the first monitoring sub-section, mounted on the ETC gantry; A11 and A12 are monitoring cameras located at the end of the first monitoring sub-section, which are equivalent to monitoring cameras located at the beginning of the second monitoring sub-section; A21 and A22 are monitoring cameras located at the end of the second monitoring sub-section. This setup allows for real-time monitoring of passing vehicles, providing a data foundation for early warning methods.

[0037] Cooperate Figure 1 , 2 As shown, the new energy power supply includes a wind power generation system 1, a photovoltaic power generation system 2, and a roadside energy storage system 3. The photovoltaic power generation system 2 and the roadside energy storage system 3 are deployed along the highway. The new energy power supply powers the monitoring cameras 5 and the local data center 4 through the roadside energy storage system 3. The processor of the local data center 4 is located on one side of the highway based on the signal transmission distance and terrain conditions, enabling a single data processor to perform full-coverage monitoring and data processing analysis of both lanes within the highway section, and to promptly feed back abnormal information to the upper-level processor, ultimately relaying the information to the traffic control center. The aforementioned new energy power supply also powers nearby service areas and drones used for later investigations, namely, service area power supply 6 and drone power supply 7. Through this setup, a continuous, reliable, and stable power supply can be ensured for key equipment within the highway area, ensuring that critical monitoring and processing equipment can still operate normally even in the event of unstable or interrupted power grid supply, thereby achieving the corresponding early warning function.

[0038] Cooperate Figure 3 As shown in this embodiment, a highway traffic early warning method based on new energy power sources includes:

[0039] Step S100: Obtain the warning time.

[0040] This early warning method primarily determines whether a traffic problem has occurred in a specific road segment by observing whether vehicles pass through it within a short period. Considering that vehicles may change lanes, brake, or accelerate while traveling, it only monitors whether vehicles leave the monitoring area within a specified time. This specified time is the early warning period.

[0041] This invention uses a first monitoring sub-interval and a second monitoring sub-interval connected to the first monitoring sub-interval as a complete monitoring interval. Here, the warning time needs to be obtained separately.

[0042] in: ; In the formula, The warning time is determined by the first monitoring sub-interval. The total warning time is the time spent in the first and second monitoring sub-intervals. This is the minimum speed limit stipulated for domestic expressways. The length of the first monitoring sub-interval. This is the length of the second monitoring sub-interval; , These are the corresponding time redundancy coefficients, and different time redundancy errors are set according to different road conditions and vehicle types.

[0043] Specifically, the minimum speed stipulated on domestic highways The general timeframe is 60 kilometers per hour, but this can vary depending on actual conditions. Furthermore, considering potential errors due to different road conditions such as curves and tunnels, and also considering potential errors due to different vehicle types such as passenger cars and heavy trucks, a time redundancy coefficient is used. , Adjust the final warning time.

[0044] In straight road sections under normal weather conditions and on straight highways, the time redundancy coefficient , The boundary conditions are:

[0045] ;

[0046] Time redundancy coefficient on straight road sections under adverse weather conditions and on straight highways , The boundary conditions are:

[0047] .

[0048] Step S200: Determine the time t0 when the vehicle enters the first monitoring sub-interval based on the monitoring camera set at the beginning of the first monitoring sub-interval.

[0049] Step S300: If, within the time interval t0+t1, the monitoring camera at the end of the first monitoring sub-interval does not detect the vehicle leaving the first monitoring sub-interval, a preliminary warning is issued.

[0050] If, within time t0+t2, the surveillance camera at the end of the second monitoring sub-section detects a vehicle leaving the second monitoring sub-section, it is determined that no traffic problem has occurred in that monitoring section, and the warning is lifted; if no vehicle is detected leaving the second monitoring sub-section, it is determined that a traffic problem has occurred in that monitoring section, and the warning continues.

[0051] In this step, a preliminary judgment is made by monitoring whether the vehicle leaves the monitoring sub-section within the warning time. When a traffic problem is initially judged to have occurred, a rear warning is issued in a timely manner, regardless of whether there is actually a traffic problem. This avoids the early judgment time being too long and affecting the warning. This embodiment focuses on prevention and can be gradually corrected later.

[0052] The following is combined with Figure 1 Provide a detailed explanation, such as Figure 1 As shown, A1-A11A12 is the first monitoring sub-section, and A11A12-A21A22 is the second monitoring sub-section. That is, the monitoring camera A1 at the beginning of the first monitoring sub-section is compared with the monitoring cameras A11 and A12 on both sides of the highway at the end, and then A11 and A12 are compared with A21 and A22.

[0053] When surveillance camera A1 detects a vehicle entering, surveillance cameras A11 and A12 do not detect the vehicle within the warning time limit, but surveillance cameras A21 and A22 detect the vehicle within the warning time limit, they still consider that there is no traffic problem with the vehicle or the road section.

[0054] Taking a straight road section as an example, surveillance camera A1, in conjunction with A11 and A12, and A21 and A22, forms two monitoring segments. If surveillance camera A1 detects a vehicle entering this road segment, the monitoring distance in the first segment is... Surveillance cameras A11 and A12 in time If the internal monitoring system detects a vehicle leaving the area, it indicates that traffic is flowing smoothly on that section of road and no traffic problems have occurred. If monitoring cameras A11 and A12 do not detect a vehicle leaving the area within the specified time... The internal monitoring system detected the vehicle leaving, but it was within a certain distance of the monitoring cameras A11 and A12. Surveillance cameras A21 and A22 at the location will be set at the specified time. If the internal monitoring system detects a vehicle leaving the road, it is also determined that the road is clear and no traffic problems have occurred.

[0055] If no vehicle is detected leaving the road segment within the set time period, it is determined that a traffic problem has occurred in the road segment, and the road segment information is uploaded to the traffic control center.

[0056] Step S400: Obtain the footage captured by the surveillance cameras within the monitoring range, compare and analyze the footage to confirm whether a traffic problem has occurred and the section where it occurred, and then cancel or continue the warning.

[0057] Specifically, this step is a supplementary confirmation step for judging the warning time. By monitoring the content captured by cameras in the monitoring section, such as the surveillance cameras on both sides or the cameras on the gantry, it is possible to intuitively observe and confirm whether a problem has occurred and the section where the problem occurred. This avoids the need to continuously observe the data from all surveillance cameras in real time, and only compare and analyze the data when necessary.

[0058] If it is determined that there is no traffic problem, the warning is lifted; if a traffic problem is found, the warning continues. This warning includes a reminder to slow down vehicles approaching from behind.

[0059] When issuing an early warning, it is generally necessary to upload the geographical location information of this segment to the traffic control center and issue warnings to vehicles approaching from nearby directions on the highway. Different warning methods can be considered, such as integrated warnings with navigation systems, drone warnings, and audible or display screen warnings on the outer side of the highway. The warning method can be selected based on the actual situation. The traffic control center can also determine whether it is necessary to issue warnings to vehicles about to enter the highway at the highway entrance.

[0060] In the above embodiment, a method of cooperating two monitoring sub-intervals is adopted to delay and extend the monitoring of vehicles in the first monitoring sub-interval. On the one hand, this can shorten the monitoring area and enable a rapid response. On the other hand, it can also prevent the monitoring camera from missing detection when a car changes lanes or other vehicles block the view at the end of the monitoring interval.

[0061] In the above embodiments, each monitoring sub-section can be set to 1-10 kilometers, but is not limited to the above range. Preferably, it is 2-4 kilometers. The specific selection can be made in a balanced way according to the actual timeliness and cost requirements, and the fastest response to traffic problems can be achieved in seconds.

[0062] As a further preferred method, while acquiring the content captured by the surveillance cameras in the monitoring range in step S400, a drone is simultaneously launched to investigate and determine whether a traffic problem has occurred and in which section it has occurred. Based on the judgment result, the warning is lifted or the warning is continued.

[0063] Additionally, it should be noted that if there are service areas within the monitoring range, surveillance cameras need to be installed at the entrances and exits of the service areas. When the service area entrance camera detects a vehicle entering the service area, the warning monitoring for that vehicle is lifted until the service area exit camera detects the vehicle leaving the service area and entering the highway, at which point the warning monitoring for that vehicle will resume.

[0064] The above-mentioned vehicles are all vehicles. If any vehicle is not detected to have left, an early warning will be issued.

[0065] In addition to monitoring traffic accidents, surveillance cameras can also provide early warnings about animals and humans that shouldn't be on highways. Furthermore, they can issue warnings to vehicles traveling in the opposite direction during extreme weather conditions such as heavy fog and torrential rain, or during unconventional road conditions (landslides, highway slope collapses, etc.).

[0066] This embodiment also provides a computer program product, which includes computer program instructions that, when executed by a processor, implement the steps of the highway traffic early warning method based on new energy power sources as described above.

[0067] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications, equivalent changes, or alterations made by those skilled in the art using the disclosed technical content shall fall within the protection scope of the present invention.

Claims

1. A highway traffic early warning method based on new energy power sources, characterized in that, The highway is divided into multiple monitoring sections, each including a first monitoring sub-section and a second monitoring sub-section connected to the first monitoring sub-section; surveillance cameras are installed at the beginning and end of each monitoring sub-section, and the early warning method for each monitoring section includes: The time for obtaining the early warning; among which: ; In the formula, The warning time is determined by the first monitoring sub-interval. The total warning time is the time spent in the first and second monitoring sub-intervals. This is the minimum speed limit stipulated for domestic expressways. The length of the first monitoring sub-interval. This is the length of the second monitoring sub-interval; , These are the corresponding time redundancy coefficients, and different time redundancy errors are set according to different road conditions and vehicle types. The time t0 when a vehicle enters the first monitoring sub-interval is determined based on the surveillance camera set at the beginning of the first monitoring sub-interval. If, within the time interval t0+t1, the surveillance camera at the end of the first monitoring sub-interval does not detect the vehicle leaving the first monitoring sub-interval, a preliminary warning will be issued; If, within time t0+t2, the surveillance camera at the end of the second monitoring sub-section detects a vehicle leaving the second monitoring sub-section, it is determined that no traffic problem has occurred in that monitoring section, and the warning is lifted; if no vehicle is detected leaving the second monitoring sub-section, it is determined that a traffic problem has occurred in that monitoring section, and the warning continues. The system acquires the footage captured by surveillance cameras within the monitoring area, compares and analyzes the footage to confirm whether a traffic problem has occurred and in which section it has occurred, and then cancels or continues the warning. The warning includes a warning to slow down vehicles approaching from behind.

2. The highway traffic early warning method based on new energy power sources according to claim 1, characterized in that, The cameras at the beginning and end are installed on the highway gantry or on the guardrails on both sides of the highway.

3. The highway traffic early warning method based on new energy power sources according to claim 1, characterized in that, In straight road sections under normal weather conditions and on straight highways, the time redundancy coefficient , The boundary conditions are: ； Time redundancy coefficient on straight road sections under adverse weather conditions and on straight highways , The boundary conditions are: 。 4. The highway traffic early warning method based on new energy power sources according to claim 1, characterized in that, While acquiring footage from surveillance cameras within the monitoring area, drones are simultaneously activated to investigate and determine whether traffic problems have occurred and in which sections they have occurred. Based on the assessment results, the warning can be lifted or extended.

5. The highway traffic early warning method based on new energy power sources according to claim 1, characterized in that, If there is a service area within the monitoring range, the warning monitoring for that vehicle will be lifted when the service area entrance camera detects a vehicle entering the service area; the warning monitoring will resume once the service area exit camera detects a vehicle leaving the service area and entering the highway.

6. The highway traffic early warning method based on new energy power sources according to claim 1, characterized in that, All vehicles are monitored, and an alert is issued if any vehicle fails to leave the area.

7. A highway traffic early warning system based on new energy power sources, characterized in that, The highway is divided into multiple monitoring sections, each monitoring section including a first monitoring sub-section and a second monitoring sub-section connected to the first monitoring sub-section; a monitoring camera is installed at the beginning and end of each monitoring sub-section, and the monitoring camera is connected to the processor of the local data center. The monitoring camera and the local data center are both powered by new energy power. The processor is used to execute the highway traffic early warning method under new energy power source as described in any one of claims 1-6.

8. The highway traffic early warning system based on new energy power sources according to claim 7, characterized in that, The cameras at the beginning and end are installed on the highway gantry or on the guardrails on both sides of the highway.

9. The highway traffic early warning system based on new energy power sources according to claim 7, characterized in that, The new energy power sources include wind power generation systems, photovoltaic power generation systems, and roadside energy storage systems. The photovoltaic power generation systems, roadside energy storage systems, and the processors of the local data centers are located along the highway.

10. A computer program product, characterized in that, The computer program product includes computer program instructions that, when executed by a processor, implement the steps of the highway traffic early warning method based on new energy power source as described in any one of claims 1 to 6.

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