CN111599199A - Crosswind information processing method based on Internet of vehicles - Google Patents
Crosswind information processing method based on Internet of vehicles Download PDFInfo
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- CN111599199A CN111599199A CN202010220332.6A CN202010220332A CN111599199A CN 111599199 A CN111599199 A CN 111599199A CN 202010220332 A CN202010220332 A CN 202010220332A CN 111599199 A CN111599199 A CN 111599199A
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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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
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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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
Abstract
A crosswind information processing method based on the Internet of vehicles comprises the following steps: the method comprises the steps that a first vehicle detects crosswind in the driving process, generates crosswind information when the crosswind is detected, acquires crosswind positioning data, binds the crosswind information and the crosswind positioning data, and uploads the crosswind information and the crosswind positioning data to an Internet of vehicles cloud server through a built-in Internet of vehicles terminal; the vehicle networking server judges whether the crosswind information reaches a risk level or not when receiving the crosswind information and crosswind positioning data, if so, the vehicle networking server sends a real-time positioning data acquisition instruction to a second vehicle which is kept connected with the vehicle networking server, judges whether the distance from the real-time positioning data to the crosswind positioning data is smaller than a preset distance threshold or not based on the real-time positioning data fed back by the second vehicle, and if not, sends a crosswind warning prompt to the second vehicle; the second vehicle plays the crosswind warning prompt in a voice mode when receiving the crosswind warning prompt; therefore, the detection and reminding of crosswind have wide application range and high reminding strength.
Description
Technical Field
The invention relates to the technical field of Internet of vehicles, in particular to a crosswind information processing method based on the Internet of vehicles.
Background
The cross wind is wind coming from the wind direction and the side direction of the vehicle, which causes unbalanced grip force to the vehicle running at high speed, so that the vehicle has a pulling feeling. When the vehicle is driven by crosswind, accidents such as vehicle sideslip and side turn are easy to happen.
Therefore, the method has important significance in timely detecting and early warning crosswind and can guarantee safe driving of vehicles.
In the prior art, a crosswind early warning system capable of detecting and early warning crosswind is designed and implemented, is arranged on one side of a road, can detect wind power and wind direction in real time, and timely early warning and notification are carried out on crosswind which possibly endangers driving safety through an LED display screen and a wind vane. However, due to the high cost and the limitation of the coverage, the system cannot be put into use in a large scale at present, only partial road sections can be used, and all road sections cannot be used.
Moreover, the driver is easy to ignore the early warning notice of the LED display screen in the driving process.
Therefore, how to research and design a crosswind detecting and early warning technology with wide application range and high reminding intensity becomes a technical problem which needs to be solved urgently at present.
Disclosure of Invention
The purpose of the invention is as follows:
in order to overcome the defects in the background art, the embodiment of the invention provides a crosswind information processing method based on the internet of vehicles, which can effectively solve the problems related to the background art.
The technical scheme is as follows:
a crosswind information processing method based on the Internet of vehicles comprises the following steps:
the method comprises the steps that a first vehicle detects crosswind in the driving process, generates crosswind information when the crosswind is detected, acquires crosswind positioning data, binds the crosswind information and the crosswind positioning data, and uploads the crosswind information and the crosswind positioning data to an Internet of vehicles cloud server through a built-in Internet of vehicles terminal;
the vehicle networking server judges whether crosswind information reaches a risk level or not when receiving the crosswind information and crosswind positioning data, if so, sends a real-time positioning data acquisition instruction to a second vehicle which is kept connected with the vehicle networking server, judges whether the distance from the real-time positioning data to the crosswind positioning data is smaller than a preset distance threshold or not based on the real-time positioning data fed back by the second vehicle, and sends a crosswind warning prompt to the second vehicle if the distance from the real-time positioning data to the crosswind positioning data is smaller than the preset distance threshold;
and the second vehicle carries out voice playing on the crosswind warning prompt when receiving the crosswind warning prompt.
As a preferred aspect of the present invention, a method for detecting crosswind during a driving process of a first vehicle and generating crosswind information when crosswind is detected, includes:
the method comprises the following steps that a first vehicle detects a wind speed value of a transverse incoming wind through a wind speed sensor in a travel process;
judging whether the detected wind speed value exceeds a first preset wind speed threshold value or not;
if the wind speed exceeds the set value, determining that crosswind is detected, and generating the detected wind speed value as crosswind information;
judging whether the crosswind information reaches the risk level comprises:
and judging whether the detected wind speed value exceeds a second preset wind speed threshold value, and if so, determining that the risk level is reached.
As a preferred aspect of the present invention, a method for detecting crosswind during a driving process of a first vehicle and generating crosswind information when crosswind is detected, includes:
the method comprises the steps that a first vehicle obtains a real-time rotation angle of a steering wheel through a steering wheel rotation angle sensor in the process of a stroke;
judging whether the real-time rotation angle is smaller than a preset angle threshold value or not;
if the vehicle height is smaller than the preset value, judging whether the vehicle deviates in the transverse direction and/or is lifted in the longitudinal direction according to displacement data acquired by the displacement sensor;
if so, determining that crosswind is detected and generating displacement data acquired by the displacement sensor as crosswind information;
judging whether the crosswind information reaches the risk level comprises:
judging whether the offset distance of the vehicle in the transverse direction exceeds a preset offset distance threshold value and/or whether the lifting distance of the vehicle in the longitudinal direction exceeds a preset lifting distance threshold value;
and if so, confirming that the risk level is reached.
As a preferred mode of the present invention, before determining whether the crosswind information reaches the risk level, the method further includes:
the method comprises the steps that a first vehicle detects a current vehicle speed value through a vehicle speed sensor, binds the current vehicle speed value with crosswind information and crosswind positioning data and uploads the current vehicle speed value to a vehicle networking cloud server through a built-in vehicle networking terminal;
sending a crosswind alert to the second vehicle, comprising:
the vehicle networking server sends a real-time vehicle speed acquisition instruction to a second vehicle which is connected with the vehicle networking server, judges whether a second vehicle with a vehicle speed value higher than that of the first vehicle exists or not based on a real-time vehicle speed value fed back by the second vehicle, if yes, lists the corresponding second vehicle in a priority sending queue, sends crosswind warning reminding preferentially, lists other second vehicles in a delay sending queue, and sends crosswind warning reminding in a delay mode.
As a preferred mode of the present invention, before determining whether the crosswind information reaches the risk level, the method further includes:
the method comprises the steps that a first vehicle acquires a vehicle weight value of the first vehicle, binds the vehicle weight value with crosswind information and crosswind positioning data and uploads the bound vehicle weight value to a cloud server of the Internet of vehicles through a built-in Internet of vehicles terminal;
sending a crosswind alert to the second vehicle, comprising:
the vehicle networking server sends a vehicle weight value acquisition instruction to a second vehicle which is connected with the vehicle networking server, judges whether a second vehicle with the vehicle weight value lower than the vehicle weight value of the first vehicle exists or not based on the vehicle weight value fed back by the second vehicle, if so, lists the corresponding second vehicle in a priority sending queue, preferentially sends crosswind warning reminding to the second vehicle, lists other second vehicles in a delay sending queue, and delays the sending of the crosswind warning reminding to the second vehicle.
As a preferred aspect of the present invention, a method for prioritizing a transmission queue of a second vehicle to transmit a crosswind warning alert, the method including:
and the vehicle networking server judges the distance sequence from the second vehicle to the crosswind positioning data according to the real-time positioning data fed back by the second vehicle of the priority sending queue, sorts the distance sequence from near to far, and sends the crosswind warning prompt to the second vehicle of the priority sending queue according to the sequence.
As a preferable mode of the present invention, the first vehicle, by acquiring its own vehicle weight value, includes:
the first vehicle obtains a vehicle body net weight value stored in the database, obtains pressure values detected by pressure sensors arranged at the bottoms of seats and a trunk, converts the pressure values into weight values, and adds the weight values to obtain a vehicle weight value of the first vehicle.
As a preferable mode of the present invention, the first vehicle, by acquiring its own vehicle weight value, includes:
a first vehicle sends a weight obtaining request to the internet of vehicles server, wherein the weight obtaining request carries a license plate number and route data of the first vehicle;
the Internet of vehicles server finds out a high-speed toll station on the first vehicle based on the route data, and sends the license plate number to a data management server corresponding to the toll station;
and the data management server finds out a weighing value corresponding to the license plate number according to the license plate number, takes the weighing value as the self vehicle weight value of the first vehicle and feeds the self vehicle weight value back to the Internet of vehicles server.
As a preferred mode of the present invention, the method further includes:
when crosswind is detected, the crosswind early warning system judges whether the risk level is reached, if so, the positioning data of the crosswind early warning system is sent to a vehicle networking server, wherein the crosswind early warning system is arranged on one side of a road;
and the Internet of vehicles server determines a coverage area according to the positioning data sent by the crosswind early warning system and sends a crosswind warning prompt to the vehicles in the coverage area.
The invention realizes the following beneficial effects:
the invention provides a crosswind information processing method based on an internet of vehicles, which can enable a first vehicle to generate crosswind information when crosswind is detected and upload the crosswind information to an internet of vehicles server, and when the crosswind information is judged to reach a risk level, the internet of vehicles server sends crosswind warning reminding to a second vehicle which runs backwards, and enables the second vehicle behind to play the crosswind warning reminding in a voice mode when receiving the crosswind warning reminding, so that the crosswind detection and reminding application range is wide, and the reminding intensity is high.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow chart of a crosswind information processing method based on the internet of vehicles according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a crosswind information detecting and generating method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a risk level determination method according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of another method for detecting and generating crosswind information according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of another risk level determination method according to an embodiment of the present invention;
fig. 6 is a schematic flow chart of a crosswind information processing method based on the internet of vehicles according to a second embodiment of the present invention;
fig. 7 is a schematic flow chart of a crosswind information processing method based on the internet of vehicles according to a third embodiment of the present invention;
fig. 8 is a schematic flow chart of a method for acquiring a vehicle weight value of a first vehicle according to a third embodiment of the present invention;
fig. 9 is a schematic flow chart of a crosswind information processing method based on the internet of vehicles according to a fourth embodiment of 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.
Example one
Referring to fig. 1, the present embodiment provides a crosswind information processing method based on an internet of vehicles, including the following steps:
s10, the first vehicle detects crosswind in the driving process and generates crosswind information when crosswind is detected.
S11, the first vehicle acquires crosswind positioning data, binds the crosswind information and the crosswind positioning data and uploads the crosswind information and the crosswind positioning data to the Internet of vehicles cloud server through the built-in Internet of vehicles terminal.
And S12, when the vehicle networking server receives the crosswind information and the crosswind positioning data, judging whether the crosswind information reaches a risk level.
And if so, executing S13, sending a real-time positioning data acquisition instruction to a second vehicle which is kept connected with the vehicle networking server by the vehicle networking server, and judging whether the distance from the real-time positioning data to the crosswind positioning data is smaller than a preset distance threshold value or not based on the real-time positioning data fed back by the second vehicle.
And if the current vehicle speed is less than the preset speed, executing S14, and sending a crosswind warning reminder to the second vehicle by the Internet of vehicles server.
And S15, the second vehicle carries out voice playing on the crosswind warning reminder when receiving the crosswind warning reminder.
In S11, the crosswind positioning data is the current real-time position of the first vehicle, and is generated by positioning through a GPS module built in the vehicle networking terminal.
The vehicle networking terminal refers to a terminal which is arranged in the first vehicle and is in wireless connection with the vehicle networking terminal, can acquire data of the first vehicle, receives data transmitted by a sensor arranged on the vehicle, can receive data sent by a vehicle networking server and analyze the vehicle, and specifically can be a terminal fixedly arranged in the first vehicle or a portable terminal.
In S13, the second vehicle is not a single vehicle, and the vehicles other than the first vehicle are collectively referred to as the second vehicle, and the second vehicle is also wirelessly connected to the internet of vehicles server through the built-in internet of vehicles terminal, so as to receive and analyze the data sent by the internet of vehicles server, and also acquire and transmit the data of the second vehicle to the internet of vehicles terminal.
When the second vehicle receives a real-time positioning data acquisition instruction sent by the Internet of vehicles server, the current position is positioned through the GPS module and the real-time positioning data is fed back to the Internet of vehicles server through the Internet of vehicles terminal; the distance between the two is judged to the crosswind positioning data that the car networking server sent through real-time positioning data to second vehicle feedback and first vehicle compares and whether is less than preset distance threshold value between the two, preset distance threshold value can set up according to actual demand, preferred setting is 2KM in this embodiment, when comparing out distance between the two and be less than 2KM, just also be equivalent to when the position that the crosswind that the first vehicle of second vehicle reached risk level is less than 2KM, then will trigger and carry out S14.
Wherein the crosswind alert can include a distance of the crosswind from the second vehicle, and a measure of response, such as deceleration, stabilizing the steering wheel, and the like.
In S15, the second vehicle is receiving when crosswind warns and reminds it carries out pronunciation broadcast, specifically will remind crosswind warning through the car networking terminal and convert into pronunciation to utilize the stereo set in the car to broadcast.
Referring to fig. 2-3, as a preferred mode of this embodiment, S10 specifically includes:
s101, detecting a wind speed value of a transverse incoming wind by a wind speed sensor in the process of a travel of a first vehicle.
S102, the first vehicle judges whether the detected wind speed value exceeds a first preset wind speed threshold value.
And if the wind speed exceeds the set speed, executing S103, determining that crosswind is detected by the first vehicle, and generating the detected wind speed value as crosswind information.
The wind speed sensor is arranged on the surface of a first vehicle, specifically can be arranged on the top of the vehicle, and is used for detecting a wind speed value in a direction perpendicular to a driving direction, namely, a transverse incoming wind relative to the vehicle, transmitting the wind speed value to a vehicle networking terminal of the first vehicle when the wind speed sensor measures the wind speed value, and judging the wind speed value detected by the wind speed sensor by the vehicle networking terminal, specifically judging whether the wind speed value exceeds a first preset wind speed threshold value, wherein the first wind speed threshold value can be set according to an actual requirement, preferably set to 10M/S in the embodiment, namely, when the detected wind speed value exceeds 10M/S, the first vehicle determines that a transverse wind is detected, and generates the detected wind speed value as transverse wind information.
As a preferable mode of the present embodiment, S12 includes:
s121, judging whether the detected wind speed value exceeds a second preset wind speed threshold value.
If the risk level exceeds the preset threshold, the step S122 is executed to confirm that the risk level is reached.
The second wind speed threshold value can be set according to actual requirements, preferably set to be 15M/S in this embodiment, that is, when the car networking server receives the crosswind information and the crosswind positioning data, it is determined whether the wind speed value in the crosswind information exceeds 15M/S, and if the wind speed value exceeds 15M/S, it is determined that the risk level is reached, that is, the driving safety is threatened.
Referring to fig. 4 to 5, as another preferable mode of the present embodiment, S10 further includes:
s1011, the first vehicle obtains the real-time rotation angle of the steering wheel through the steering wheel rotation angle sensor in the process of the travel.
S1012, the first vehicle judges whether the real-time rotation angle is smaller than a preset angle threshold value.
And if the displacement data is less than the preset value, executing S1013, and judging whether the vehicle deviates in the transverse direction and/or lifts in the longitudinal direction according to the displacement data acquired by the displacement sensor by the first vehicle.
And if so, executing S1014, determining that crosswind is detected by the first vehicle, and generating displacement data acquired by the displacement sensor as crosswind information.
The preset angle threshold is preferably set to 5 degrees, the normal driving operation is performed when the turning amplitude of the steering wheel is within 5 degrees, when the real-time turning angle of the first vehicle on the slope is less than 5 degrees, it is determined that the driver does not perform the steering operation on the vehicle, that is, the vehicle is in normal driving, and only when the vehicle is in normal driving, that is, the vehicle is not actively steered, the displacement of the vehicle can represent abnormal displacement, so that the vehicle can be ensured to be in a normal driving state, that is, the driver does not perform the steering operation on the vehicle, through the implementation of S1011 and S1012.
The displacement sensor detects the displacement of the vehicle in the transverse direction and the displacement of the vehicle in the longitudinal direction in real time, and transmits a detection result to the internet of vehicles terminal of the first vehicle in real time.
On the basis, it is confirmed that crosswind is detected, and displacement data acquired by the displacement sensor is generated as crosswind information, wherein the displacement data specifically comprises the distance of the vehicle which deviates in the transverse direction and/or the distance of the vehicle which lifts in the longitudinal direction.
As a preferable mode of the present embodiment, S12 further includes:
s1211, judging whether the offset distance of the vehicle in the transverse direction exceeds a preset offset distance threshold value and/or whether the lifting distance of the vehicle in the longitudinal direction exceeds a preset lifting distance threshold value.
If yes, executing S1212 and confirming that the risk level is reached.
The preset offset distance threshold value and the preset lifting distance threshold value can be set according to actual requirements, the preset offset distance threshold value is preferably set to be 0.1M, the preset lifting distance threshold value is preferably 0M, namely, when the internet of vehicles server receives crosswind information and crosswind positioning data, whether the offset distance of the vehicles in the transverse direction exceeds 0.1M and/or whether the lifting distance of the vehicles in the longitudinal direction exceeds 0M is judged, if the offset distance exceeds 0M, the vehicles are confirmed to reach a risk level, and therefore the vehicle safety is threatened.
Example two
Referring to fig. 6, the present embodiment is substantially identical to the first embodiment except that, as a preferred mode of the present embodiment, before S12, the method further includes:
and S20, the first vehicle detects the current vehicle speed value through the vehicle speed sensor.
S21, the first vehicle binds the crosswind information and crosswind positioning data and uploads the crosswind information and crosswind positioning data to the Internet of vehicles cloud server through the built-in Internet of vehicles terminal.
S14 includes:
and S141, the Internet of vehicles server issues a real-time vehicle speed acquisition instruction to a second vehicle which is kept connected with the Internet of vehicles server, and judges whether a second vehicle with a vehicle speed value higher than that of the first vehicle exists or not based on a real-time vehicle speed value fed back by the second vehicle.
And if so, executing S142, wherein the Internet of vehicles server lists the corresponding second vehicle in a priority sending queue, preferentially sends the crosswind warning prompt, lists other second vehicles in a delay sending queue, and delays the sending of the crosswind warning prompt.
In practical application, if there are more second vehicles with distances to the crosswind positioning data smaller than the preset distance threshold of 2KM, the response speed is easy to be slow when the crosswind warning reminder is sent in a centralized manner, so that the delay of information transmission is caused, and therefore, the crosswind positioning data needs to be sent in batches according to important priorities; as is well known, the faster the vehicle speed, the greater the risk of crosswind, and therefore, it is necessary to transmit crosswind warning warnings in batches to the second vehicle based on the magnitude of the vehicle speed.
In S141, the car networking server issues a real-time speed obtaining instruction to a second vehicle connected to the car networking server, and when the second vehicle receives the speed obtaining instruction issued by the car networking server through the car networking terminal, the second vehicle also detects the real-time speed through a built-in speed sensor and feeds the real-time speed back to the car networking server through the car networking terminal.
In this embodiment, it is set that the current vehicle speed value detected by the first vehicle through the vehicle speed sensor is 100KM/H, the internet of vehicles server determines whether there is a second vehicle with a vehicle speed value higher than 100KM/H according to the real-time vehicle speed value fed back by the second vehicle, and if so, lists the corresponding second vehicle in the priority sending queue, and sends the crosswind warning prompt preferentially.
The method comprises the steps of setting 10 second vehicles with the distance from crosswind positioning data being less than 2KM, namely a1, a2 and a3 … a10, wherein the vehicle speed values of a1, a4 and a6 are 102 KM/H, 104 KM/H and 110 KM/H respectively, and the rest are lower than 100KM/H, so that a1, a4 and a6 are listed into a priority sending queue, crosswind warning reminding is preferentially sent to the priority sending queue, the rest second vehicles are listed into a delay sending queue, crosswind warning reminding is delayed to the delay sending queue, and therefore actual reminding requirements are met.
As an extension of this embodiment, a higher priority transmission mechanism may be performed for each vehicle in the priority transmission queue, specifically, the vehicles may be prioritized according to the vehicle speed values, that is, a6 with the highest vehicle speed value is transmitted first, a4 with the middle vehicle speed value is transmitted second, and a1 with the lowest vehicle speed value is transmitted last.
Wherein, the second vehicle that will correspond is listed in the priority and is sent the queue, carries out the sending that crosswind warns and reminds to its priority, includes: and the vehicle networking server judges the distance sequence from the second vehicle to the crosswind positioning data according to the real-time positioning data fed back by the second vehicle of the priority sending queue, sorts the distance sequence from near to far, and sends the crosswind warning prompt to the second vehicle of the priority sending queue according to the sequence.
Although the vehicles a1, a4 and a6 are sent in priority to other second vehicles, the vehicles in the priority sending queue are different in distance from the crosswind positioning data, so that a more priority mechanism exists, and therefore the vehicles are sorted from near to far, and the crosswind warning reminding is sent to the second vehicle in the priority sending queue in the order.
For example, if the sequence of the crosswind positioning data from the far to the near is set to a6, a4, a1 respectively in the order from the near to the far, the a6 with the closest distance will be transmitted first, the a4 with the middle distance will be transmitted second, and the a1 with the relatively farthest distance will be transmitted last.
EXAMPLE III
Referring to fig. 7, the present embodiment is substantially identical to the first embodiment except that, as a preferred mode of the present embodiment, before S12, the method further includes:
and S30, the first vehicle acquires the own vehicle weight value.
S31, the first vehicle binds the crosswind information and crosswind positioning data and uploads the crosswind information and crosswind positioning data to the Internet of vehicles cloud server through the built-in Internet of vehicles terminal.
S14 includes:
s1411, the Internet of vehicles server sends a vehicle weight value acquisition instruction to a second vehicle which is connected with the Internet of vehicles server, and judges whether a second vehicle with a vehicle weight value lower than the first vehicle weight value exists or not based on the vehicle weight value fed back by the second vehicle.
And if so, executing S1412, listing the corresponding second vehicle in a priority sending queue by the Internet of vehicles server, sending crosswind warning reminding preferentially, listing other second vehicles in a delay sending queue, and sending crosswind warning reminding in a delay mode.
In practical application, if there are more second vehicles with distances to the crosswind positioning data smaller than the preset distance threshold of 2KM, the response speed is easy to be slow when the crosswind warning reminder is sent in a centralized manner, so that the delay of information transmission is caused, and therefore, the crosswind positioning data needs to be sent in batches according to important priorities; as is well known, the lighter the vehicle body is, the greater the risk of crosswind is, and therefore, it is necessary to transmit crosswind warning warnings in batches to the second vehicle based on the magnitude of the vehicle weight.
In S1411, the car networking server issues a car weight value acquisition instruction to a second vehicle connected to the car networking server, and when the second vehicle receives the car weight value acquisition instruction issued by the car networking server through the car networking terminal, the second vehicle feeds back the detected car weight value to the car networking server through the car networking terminal.
In this embodiment, the vehicle weight value obtained by the first vehicle is set to be 3 tons, the internet of vehicles server determines whether a second vehicle with a vehicle weight value lower than 3 tons exists according to the vehicle weight value fed back by the second vehicle, and if so, the corresponding second vehicle is listed in the priority sending queue, and the crosswind warning reminder is preferentially sent.
The set distance to the crosswind positioning data is less than 10 second vehicles of 2KM, namely a1, a2 and a3 … a10, wherein the vehicle weight values of a1, a4 and a6 are respectively 2.7 tons, 2.3 tons and 2 tons, and the rest are all higher than 3 tons, so that the a1, a4 and a6 are listed into a priority sending queue, crosswind warning reminding is preferentially sent to the priority sending queue, the rest second vehicles are listed into a delay sending queue, and crosswind warning reminding is delayed to send to the delay queue, so that the actual reminding requirement is met.
As an extension of this embodiment, a more prioritized sending mechanism may be further performed for each vehicle in the priority sending queue, specifically, the priority ranking may be performed according to the level of the vehicle weight value, that is, the first sending is performed for the a6 with the lightest vehicle weight value, the second sending is performed for the a4 with the middle vehicle weight value, and the last sending is performed for the a1 with the relatively heaviest vehicle weight value.
Wherein, the second vehicle that will correspond is listed in the priority and is sent the queue, carries out the sending that crosswind warns and reminds to its priority, includes: and the vehicle networking server judges the distance sequence from the second vehicle to the crosswind positioning data according to the real-time positioning data fed back by the second vehicle of the priority sending queue, sorts the distance sequence from near to far, and sends the crosswind warning prompt to the second vehicle of the priority sending queue according to the sequence.
Although the vehicles a1, a4 and a6 are sent in priority to other second vehicles, the vehicles in the priority sending queue are different in distance from the crosswind positioning data, so that a more priority mechanism exists, and therefore the vehicles are sorted from near to far, and the crosswind warning reminding is sent to the second vehicle in the priority sending queue in the order.
For example, if the sequence of the crosswind positioning data from the far to the near is set to a6, a4, a1 respectively in the order from the near to the far, the a6 with the closest distance will be transmitted first, the a4 with the middle distance will be transmitted second, and the a1 with the relatively farthest distance will be transmitted last.
As a preferable mode of the present embodiment, S30 includes: the first vehicle obtains a vehicle body net weight value stored in the database, obtains pressure values detected by pressure sensors arranged at the bottoms of seats and a trunk, converts the pressure values into weight values, and adds the weight values to obtain a vehicle weight value of the first vehicle.
The weight value of the second vehicle is also obtained in this way.
Referring to fig. 8, as another preferable mode of the present embodiment, S30 includes:
s301, a first vehicle sends a weight obtaining request to the Internet of vehicles server, wherein the weight obtaining request carries a license plate number and route data of the first vehicle.
S302, the Internet of vehicles server finds out a high-speed toll station on the first vehicle based on the route data, and sends the license plate number to a data management server corresponding to the toll station.
And S303, the data management server finds out a weighing value corresponding to the license plate number according to the license plate number, uses the weighing value as a self-weight value of the first vehicle and feeds the self-weight value back to the Internet of vehicles server.
The license plate number of the first vehicle is prestored in the database, and the route data can be generated according to the real-time positioning data of the GPS module and can also be used for acquiring the navigation route of the navigation terminal.
The internet of vehicles server finds out the toll station on the first vehicle which is passed by the first vehicle at high speed according to the route data, and then sends the license plate number of the first vehicle to the data management server corresponding to the toll station.
Each toll station corresponds to one data management server, and weighing values corresponding to vehicles in the way are recorded in the data management server; when the data management server receives the license plate number of the first vehicle, the weighing value corresponding to the license plate number is found out and fed back to the internet-of-vehicles server, and therefore the weighing value of the first vehicle is determined.
The weight value of the second vehicle is also obtained in this way.
Example four
Referring to fig. 9, the present embodiment is substantially identical to the first embodiment, except that, as a preferred mode of the present embodiment, the method further includes:
and S40, judging whether the risk level is reached or not by the crosswind early warning system when crosswind is detected.
And if so, executing S41, and sending the positioning data to the Internet of vehicles server by the crosswind early warning system, wherein the crosswind early warning system is arranged on one side of the road.
S42, the Internet of vehicles server determines a coverage area according to the positioning data sent by the crosswind early warning system, and sends crosswind warning reminding to the vehicles in the coverage area.
The method for detecting crosswind by the crosswind warning system and the method for determining whether the ramp reaches the risk level are the same as those in the first embodiment.
In S42, the car networking server determines a coverage area according to the positioning data sent by the crosswind warning system, specifically, the positioning data may be spread by 2 square kilometers around as the center, and then the positioning data of the current location of the vehicle wirelessly connected to the car networking server is obtained, and whether the vehicle is in the coverage area is determined, and if the vehicle is in the coverage area, a crosswind warning prompt is sent to the vehicle networking server.
The vehicle in this embodiment may be a first vehicle or a second vehicle.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (9)
1. A crosswind information processing method based on the Internet of vehicles is characterized by comprising the following steps:
the method comprises the steps that a first vehicle detects crosswind in the driving process, generates crosswind information when the crosswind is detected, acquires crosswind positioning data, binds the crosswind information and the crosswind positioning data, and uploads the crosswind information and the crosswind positioning data to an Internet of vehicles cloud server through a built-in Internet of vehicles terminal;
the vehicle networking server judges whether crosswind information reaches a risk level or not when receiving the crosswind information and crosswind positioning data, if so, sends a real-time positioning data acquisition instruction to a second vehicle which is kept connected with the vehicle networking server, judges whether the distance from the real-time positioning data to the crosswind positioning data is smaller than a preset distance threshold or not based on the real-time positioning data fed back by the second vehicle, and sends a crosswind warning prompt to the second vehicle if the distance from the real-time positioning data to the crosswind positioning data is smaller than the preset distance threshold;
and the second vehicle carries out voice playing on the crosswind warning prompt when receiving the crosswind warning prompt.
2. The crosswind information processing method based on the internet of vehicles according to claim 1, wherein the step of detecting crosswind during the driving process of the first vehicle and generating crosswind information when crosswind is detected comprises the steps of:
the method comprises the following steps that a first vehicle detects a wind speed value of a transverse incoming wind through a wind speed sensor in a travel process;
judging whether the detected wind speed value exceeds a first preset wind speed threshold value or not;
if the wind speed exceeds the set value, determining that crosswind is detected, and generating the detected wind speed value as crosswind information;
judging whether the crosswind information reaches the risk level comprises:
and judging whether the detected wind speed value exceeds a second preset wind speed threshold value, and if so, determining that the risk level is reached.
3. The crosswind information processing method based on the internet of vehicles according to claim 1, wherein the step of detecting crosswind during the driving process of the first vehicle and generating crosswind information when crosswind is detected comprises the steps of:
the method comprises the steps that a first vehicle obtains a real-time rotation angle of a steering wheel through a steering wheel rotation angle sensor in the process of a stroke;
judging whether the real-time rotation angle is smaller than a preset angle threshold value or not;
if the vehicle height is smaller than the preset value, judging whether the vehicle deviates in the transverse direction and/or is lifted in the longitudinal direction according to displacement data acquired by the displacement sensor;
if so, determining that crosswind is detected and generating displacement data acquired by the displacement sensor as crosswind information;
judging whether the crosswind information reaches the risk level comprises:
judging whether the offset distance of the vehicle in the transverse direction exceeds a preset offset distance threshold value and/or whether the lifting distance of the vehicle in the longitudinal direction exceeds a preset lifting distance threshold value;
and if so, confirming that the risk level is reached.
4. The crosswind information processing method based on the internet of vehicles according to claim 1, wherein before determining whether the crosswind information reaches the risk level, the method further comprises:
the method comprises the steps that a first vehicle detects a current vehicle speed value through a vehicle speed sensor, binds the current vehicle speed value with crosswind information and crosswind positioning data and uploads the current vehicle speed value to a vehicle networking cloud server through a built-in vehicle networking terminal;
sending a crosswind alert to the second vehicle, comprising:
the vehicle networking server sends a real-time vehicle speed acquisition instruction to a second vehicle which is connected with the vehicle networking server, judges whether a second vehicle with a vehicle speed value higher than that of the first vehicle exists or not based on a real-time vehicle speed value fed back by the second vehicle, if yes, lists the corresponding second vehicle in a priority sending queue, sends crosswind warning reminding preferentially, lists other second vehicles in a delay sending queue, and sends crosswind warning reminding in a delay mode.
5. The crosswind information processing method based on the internet of vehicles according to claim 1, wherein before determining whether the crosswind information reaches the risk level, the method further comprises:
the method comprises the steps that a first vehicle acquires a vehicle weight value of the first vehicle, binds the vehicle weight value with crosswind information and crosswind positioning data and uploads the bound vehicle weight value to a cloud server of the Internet of vehicles through a built-in Internet of vehicles terminal;
sending a crosswind alert to the second vehicle, comprising:
the vehicle networking server sends a vehicle weight value acquisition instruction to a second vehicle which is connected with the vehicle networking server, judges whether a second vehicle with the vehicle weight value lower than the vehicle weight value of the first vehicle exists or not based on the vehicle weight value fed back by the second vehicle, if so, lists the corresponding second vehicle in a priority sending queue, preferentially sends crosswind warning reminding to the second vehicle, lists other second vehicles in a delay sending queue, and delays the sending of the crosswind warning reminding to the second vehicle.
6. The crosswind information processing method based on the internet of vehicles according to claim 4 or 5, wherein the step of listing the corresponding second vehicle in a priority sending queue and sending the crosswind warning prompt preferentially comprises the steps of:
and the vehicle networking server judges the distance sequence from the second vehicle to the crosswind positioning data according to the real-time positioning data fed back by the second vehicle of the priority sending queue, sorts the distance sequence from near to far, and sends the crosswind warning prompt to the second vehicle of the priority sending queue according to the sequence.
7. The crosswind information processing method based on the internet of vehicles according to claim 5, wherein the first vehicle obtains the vehicle weight value of the first vehicle by obtaining the vehicle weight value of the first vehicle, and comprises the following steps:
the first vehicle obtains a vehicle body net weight value stored in the database, obtains pressure values detected by pressure sensors arranged at the bottoms of seats and a trunk, converts the pressure values into weight values, and adds the weight values to obtain a vehicle weight value of the first vehicle.
8. The crosswind information processing method based on the internet of vehicles according to claim 5, wherein the first vehicle obtains the vehicle weight value of the first vehicle by obtaining the vehicle weight value of the first vehicle, and comprises the following steps:
a first vehicle sends a weight obtaining request to the internet of vehicles server, wherein the weight obtaining request carries a license plate number and route data of the first vehicle;
the Internet of vehicles server finds out a high-speed toll station on the first vehicle based on the route data, and sends the license plate number to a data management server corresponding to the toll station;
and the data management server finds out a weighing value corresponding to the license plate number according to the license plate number, takes the weighing value as the self vehicle weight value of the first vehicle and feeds the self vehicle weight value back to the Internet of vehicles server.
9. The crosswind information processing method based on the internet of vehicles is characterized by further comprising the following steps:
when crosswind is detected, the crosswind early warning system judges whether the risk level is reached, if so, the positioning data of the crosswind early warning system is sent to a vehicle networking server, wherein the crosswind early warning system is arranged on one side of a road;
and the Internet of vehicles server determines a coverage area according to the positioning data sent by the crosswind early warning system and sends a crosswind warning prompt to the vehicles in the coverage area.
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| CN202010220332.6A CN111599199A (en) | 2020-03-25 | 2020-03-25 | Crosswind information processing method based on Internet of vehicles |
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