CN112530165B - Method and device for judging violation of regulations of apron support vehicle based on Internet of things - Google Patents
Method and device for judging violation of regulations of apron support vehicle based on Internet of things Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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Abstract
The application discloses a method and a device for judging violation of regulations of an airport apron support vehicle based on the Internet of things, wherein the method and the device are applied to a wireless airport apron system of the airport apron, and particularly determine an observation interval based on a self-adaptive step length algorithm; acquiring the real-time position and the real-time speed of a apron guarantee vehicle according to observation intervals; and judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed. When the wireless station level system judges rules and regulations, the wireless station level system acquires relevant information based on the Internet of things, monitoring personnel are not needed to visually monitor, subjective characteristics of personnel monitoring are not available, and missing judgment and misjudgment can be avoided.
Description
Technical Field
The application relates to the technical field of airport equipment, in particular to a method and a device for judging violation of regulations of apron support vehicles based on the Internet of things.
Background
The safety of the airport apron is extremely important in the ground service guarantee work of the airport, and the airport apron not only has airplanes, but also has various guarantee vehicles required for guaranteeing the normal operation of the airplanes. In order to guarantee the operation safety of the airport, various regulations which are clear, complex and directly related to safety are provided for the operation of various vehicles in the airport operation rules, and the safety of the vehicles, passengers and airplanes can be guaranteed only by operating the vehicles according to the corresponding regulations. Related security departments at airports are constantly dedicated to strengthening the management and control of the violation behaviors that guarantee that vehicles do not conform to the airport operation rules. However, the current problem is that the violation judgment of the security vehicle is basically monitored by visual observation of monitoring personnel, and because the personnel monitoring has subjective characteristics, the judgment omission and the judgment mistake are easy to occur.
Disclosure of Invention
In view of this, the application provides a method and a device for determining violation of regulations of an apron-secured vehicle based on the internet of things, which are used for determining whether the apron-secured vehicle violates the regulations based on the internet of things technology, so as to avoid the occurrence of missed determination or erroneous determination.
In order to achieve the above object, the following solutions are proposed:
a violation judgment method of an airport apron support vehicle based on the Internet of things is applied to a wireless airport apron system of the airport apron and comprises the following steps:
determining an observation interval based on a self-adaptive step length algorithm;
acquiring the real-time position and the real-time speed of the apron guarantee vehicle according to the observation interval;
and judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed.
Optionally, the determining the observation interval based on the adaptive step size algorithm includes the steps of:
when the working point of the apron guarantee vehicle position is near the maximum power point, selecting a smaller disturbance step length in a disturbance step length range obtained by pre-calculation as the observation interval;
and when the working point is not near the maximum power point, selecting a larger disturbance step length in the disturbance step length range as the observation interval.
Optionally, a plurality of positioning base stations are arranged on the apron according to a preset rule or uniformly, wherein:
the positioning base station is used for broadcasting a data packet containing the node position of the positioning base station, so that the apron support vehicle can obtain the real-time position and/or the real-time speed according to the data packet.
Optionally, the determining whether the apron support vehicle violates the regulations according to the real-time position and/or the real-time speed includes:
judging the area of the apron support vehicle according to the real-time position;
judging the running state of the apron support vehicle according to the real-time speed;
and judging whether the vehicle violates regulations according to whether the running state of the apron guarantee vehicle in the area conforms to the apron running rules or not.
Optionally, the determining whether the apron support vehicle violates the regulations according to the real-time position and/or the real-time speed further includes:
and when the apron ensures that the vehicle breaks rules, recording the real-time position and part or all of the real-time speed within the preset time length before and after the vehicle breaks rules.
The utility model provides a judgement device violating regulations of airport apron guarantee vehicle based on thing networking, is applied to the wireless station level system on airport apron, judgement device violating regulations includes:
the step length calculation module is used for determining an observation interval based on a self-adaptive step length algorithm;
the data acquisition module is used for acquiring the real-time position and the real-time speed of the apron guarantee vehicle according to the observation interval;
and the judging and recording module is used for judging whether the apron guarantee vehicle violates regulations or not according to the real-time position and/or the real-time speed.
Optionally, the step calculating module includes:
the first calculation unit is used for selecting a smaller disturbance step length in a disturbance step length range obtained by pre-calculation as the observation interval when the working point of the apron guarantee vehicle position is positioned near the maximum power point;
and the second calculation unit is used for selecting a larger disturbance step length in the disturbance step length range as the observation interval when the working point is not near the maximum power point.
Optionally, a plurality of positioning base stations are arranged on the apron according to a preset rule or uniformly, wherein:
the positioning base station is used for broadcasting a data packet containing the node position of the positioning base station, so that the apron support vehicle can obtain the real-time position and/or the real-time speed according to the data packet.
Optionally, the judging and recording module includes:
the area judgment unit is used for judging the area of the apron support vehicle according to the real-time position;
the state judgment unit is used for judging the running state of the apron support vehicle according to the real-time speed;
and the violation judging unit is used for judging whether the traffic violation is violated according to whether the running state of the apron guarantee vehicle in the area meets the apron running rule or not.
Optionally, the judging and recording module further includes:
and the data recording unit is used for recording the real-time position and part or all of the real-time speed within the preset time length before and after violation occurs when the violation judging unit judges that the apron ensures that the vehicle violates the regulations.
According to the technical scheme, the method and the device for judging the violation of the traffic regulations of the apron support vehicle based on the Internet of things are applied to a wireless apron system of the apron, and particularly determine an observation interval based on a self-adaptive step length algorithm; acquiring the real-time position and the real-time speed of a apron guarantee vehicle according to observation intervals; and judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed. When the wireless station level system judges rules and regulations, the wireless station level system acquires relevant information based on the Internet of things, monitoring personnel are not needed to visually monitor, subjective characteristics of personnel monitoring are not available, and missing judgment and misjudgment can be avoided.
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 flowchart of a method for determining violation of a apron-guaranteed vehicle based on the internet of things according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for calculating an observation interval according to an embodiment of the present application;
fig. 3 is a block diagram of a violation judgment device for apron support vehicles based on the internet of things according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
Fig. 1 is a flowchart of a method for determining violation of a apron-guaranteed vehicle based on the internet of things according to an embodiment of the present application.
The violation judging method is applied to the wireless station system of the airport apron and used for providing a violation judging scheme for the wireless station system. Terminal devices such as handheld equipment, tablet equipment or single chip microcomputer equipment are installed on the apron guarantee vehicle, and wireless communication modules such as DTUs and positioning modules such as GPS and outdoor positioning are arranged in the terminal devices. The positioning module acquires the real-time position and the real-time speed of the apron support vehicle in real time, and the wireless communication module is used for sending the real-time position and the real-time speed.
The distribution of the positioning modules is based on the transmission principle of a physical network sensing layer network. All positioning base stations in a perception layer network of the Internet of things are uniformly distributed in a circular area with W as a radius, the positioning base stations broadcast data packets containing self node positions to the network in a network initialization stage, and the positioning base stations in the network analyze the contents of the received data packets so as to obtain related information such as the geographic positions of the positioning base stations and the relationship between adjacent positioning base stations.
Firstly, each positioning base station generates a random number between [0,1], if the random number is smaller than a specified threshold value T (i), the node becomes the current interference source node, and T (i) is calculated as follows:
in the formula, p is the probability of the positioning base station when being selected as the interference source node, namely the percentage of the interference source node in the total number of nodes; r is the number of current data transmissions; erest(i) To representNode residual energy; eini(i) Representing the initial energy of the node; omega1And ω2Is the weight factor of the residual energy W and the number of the neighbor interference source nodes, and is not less than 0 and not more than omega1≤1，0≤ω21 or less, and omega1+ω21 is ═ 1; m represents the number of neighbor nodes around the node Z which are selected as the nodes of the interference source; when the more the node residual energy is, and the number of the peripheral neighbor nodes selected as the interference source nodes is less, the larger the value of T (i) is, the higher the possibility of the node selected as the interference source node is; g is a node set which is not selected as an interference source node in the current internet of things sensing layer network.
As shown in fig. 1, the violation determination method in this embodiment includes the following steps:
and S1, determining an observation interval based on the adaptive step size algorithm.
When observation interval calculation is carried out based on a self-adaptive step length algorithm, when the current working point of the apron guarantee vehicle is close to the maximum power point, a smaller disturbance step length in a disturbance step length range is selected as an observation interval, so that the tracking precision is improved, and oscillation is avoided.
On the contrary, when the current working point of the apron guarantee vehicle is not near the maximum power point, a large disturbance step length is selected to improve the tracking speed, so that an adaptive step length is constructed:
in the formula: Δ P ═ P (k) -P (k-1) represents the amount of change in photovoltaic output power, Δ D ═ D (k) -D (k-1) represents the amount of change in duty ratio, DrefThe step factor is η for the duty cycle of the output. Dref' is the duty cycle of the output of the last iteration. The calculation process is shown in fig. 2, where U and I represent the voltage and current, respectively.
And S2, acquiring the real-time position and the real-time speed according to the observation interval.
That is, on the premise that the observation interval is determined, the current real-time position and the current real-time speed acquired by the terminal device of the apron support vehicle are received from the terminal device of the apron support vehicle according to the observation interval. The observation operation is flexibly configured on the basis of ensuring the precision by acquiring the observation interval, so that the energy consumption is reduced to the maximum extent.
And S3, carrying out violation judgment according to the real-time position and the real-time speed.
And on the basis of obtaining the corresponding apron guarantee vehicle, judging whether the apron guarantee vehicle accords with the apron operation rule, namely judging whether the vehicle violates the regulations. The method specifically comprises the following steps:
firstly, judging the area of a apron support vehicle according to the real-time position; then judging the running state of the apron guarantee vehicle according to the real-time speed; and finally, judging whether the traffic regulation is violated according to whether the driving state of the apron guarantee vehicle in the area conforms to the apron operation rule or not. In addition, when the apron guarantees that the vehicle breaks rules, partial or all of position data and speed data in preset time length before and after the vehicle breaks rules are recorded.
Specifically, the method for processing different regulations and violation conditions of the apron security vehicle in actual implementation comprises the following steps:
1) the apron operating rules stipulate: when the vehicle runs to the position provided with the inverted triangle deceleration avoidance mark, the surrounding aircraft dynamics are observed in a deceleration mode.
The central position and the area range of the deceleration area are configured in advance in the wireless station level system. Every time the vehicle uploads the real-time position, the system judges whether the vehicle is located in the deceleration area, if the vehicle is located in the deceleration area, the system judges whether the speed of the vehicle exceeds a limit value, if the speed of the vehicle exceeds the limit value, the vehicle breaks rules and regulations, and the system records the vehicle violation information as vehicle position data of 10 minutes before and after the violation time.
2) The apron operating rules stipulate: when the aircraft slides or is dragged, the aircraft should avoid outside the wing tip clear distance line on one side of the aircraft or outside 50m on two sides of the wing tip, and the aircraft should not pass within 200m in front of the aircraft or follow and pass within 100m behind the aircraft. The wireless station level system acquires the position of the aircraft on the station level in real time through an ADS-B receiving device, a field surveillance radar, multipoint positioning and other modes.
Every time the vehicle uploads the real-time position, the system can judge whether the vehicle is located in the range of 200m in front of, 100m behind and 50m on two sides of the aircraft, if the vehicle is located in the range, the vehicle is judged to be illegal, and the system records the illegal information and the position data of the vehicle and the aircraft 3 minutes before and after the illegal time.
3) The apron operating rules stipulate: and (3) stopping the vehicle when the vehicle runs to the position with the stop character mark from the end of each day to the expected 1 hour before takeoff or 30 minutes before landing of the first day of the flight, stopping the vehicle to observe the dynamics of the aircraft in other periods, and passing the vehicle after safety is confirmed.
The wireless station level system is pre-configured with a stop sign position. Every time the vehicle uploads the real-time position, the system can judge for three times:
judging whether the vehicle is in a stop character identification area, wherein the judgment standard is as follows: the distance between the vehicle position and the stop word position is not more than 10 m.
Judging whether the vehicle has a parking action or not, wherein the judgment standard is as follows: the position of the vehicle varies by less than 10m within 10 seconds
And thirdly, judging whether the vehicle needs to be parked at the parking mark position. The wireless station system acquires the end time of each day of flight and the corresponding time of the first scheduled flight in the next day, which is estimated to be 1 hour before the departure or 30 minutes before the landing, from the flight management system. If the current time is within the time period, the vehicle is guaranteed not to stop at the stop character mark position, otherwise, the vehicle is guaranteed not to stop at the stop character mark position.
If the system judges that the vehicle is in the parking character mark area and the vehicle needs to park at the parking character mark area but the vehicle does not park according to the regulation, the system judges that the vehicle violates the regulations and records the violation information of the vehicle and the position data of the vehicle 10 minutes before and after the violation moment.
4) The apron operating rules stipulate: when vehicles running in a flight area meet police cars, fire trucks, engineering emergency vehicles, ambulances and guard fleets for executing tasks, the vehicles should actively decelerate and avoid, and cannot contend for road and rush or follow closely.
Basic information of vehicles is pre-recorded in the wireless station system, and each vehicle has a unique number. The system caches the last vehicle location and time uploaded by each vehicle. Every time the vehicle uploads the position, the system can carry out three judgments:
firstly, judging whether the vehicle is a vehicle needing to be avoided or not, wherein the judgment standard is that the vehicles of a police car, a fire truck, an engineering emergency car, an ambulance and a guard motorcade are the vehicles needing to be avoided.
Judging whether the vehicle is a vehicle needing to avoid other vehicles: the judgment standard is that the vehicles of the non-police vehicle, the fire truck, the engineering emergency vehicle, the ambulance and the guard motorcade are the vehicles needing to avoid other vehicles.
And thirdly, judging whether the two vehicles have the behavior of line snatching or close following, wherein the judgment standard is that the speed of the two vehicles exceeds 30 km/h within 20 seconds continuously and the distance between the two vehicles is less than 20 m.
And if the system judges that the two vehicles have a behavior of overtaking or following a rear-end chase, and the vehicle A belongs to the vehicle needing to be avoided and the vehicle B belongs to the vehicle needing to be avoided of other vehicles, judging that the vehicle B violates the regulations, and recording violation information of the vehicle B and position data of A, B two vehicles 10 minutes before and after the violation time by the system.
According to the technical scheme, the violation judgment method of the apron support vehicle based on the Internet of things is applied to a wireless apron system of the apron, and specifically, an observation interval is determined based on a self-adaptive step algorithm; acquiring the real-time position and the real-time speed of a apron guarantee vehicle according to observation intervals; and judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed. When the wireless station level system judges rules and regulations, the wireless station level system acquires relevant information based on the Internet of things, monitoring personnel are not needed to visually monitor, subjective characteristics of personnel monitoring are not available, and missing judgment and misjudgment can be avoided.
Example two
Fig. 3 is a block diagram of a violation judgment device for apron support vehicles based on the internet of things according to an embodiment of the present application.
The violation judging device is applied to a wireless station system of an airport apron, is used for providing a violation judging scheme for the wireless station system, and particularly can be regarded as an entity device or a server of the wireless station system.
Terminal devices such as handheld equipment, tablet equipment or single chip microcomputer equipment are installed on the apron guarantee vehicle, and wireless communication modules such as DTUs and positioning modules such as GPS and outdoor positioning are arranged in the terminal devices. The positioning module acquires the real-time position and the real-time speed of the apron support vehicle in real time, and the wireless communication module is used for sending the real-time position and the real-time speed.
The distribution of the positioning modules is based on the transmission principle of a physical network sensing layer network. All positioning base stations in a perception layer network of the Internet of things are uniformly distributed in a circular area with W as a radius, the positioning base stations broadcast data packets containing self node positions to the network in a network initialization stage, and the positioning base stations in the network analyze the contents of the received data packets so as to obtain related information such as the geographic positions of the positioning base stations and the relationship between adjacent positioning base stations.
Firstly, each positioning base station generates a random number between [0,1], if the random number is smaller than a specified threshold value T (i), the node becomes the current interference source node, and T (i) is calculated as follows:
in the formula, p is the probability of the positioning base station when being selected as the interference source node, namely the percentage of the interference source node in the total number of nodes; r is the number of current data transmissions; erest(i) Representing node residual energy; eini(i) Representing the initial energy of the node; omega1And ω2Is the weight factor of the residual energy W and the number of the neighbor interference source nodes, and is not less than 0 and not more than omega1≤1，0≤ω21 or less, and omega1+ω21 is ═ 1; m represents the number of neighbor nodes around the node Z which are selected as the nodes of the interference source; when the more the node residual energy is, and the number of the peripheral neighbor nodes selected as the interference source nodes is less, the larger the value of T (i) is, the higher the possibility of the node selected as the interference source node is; g is a node set which is not selected as an interference source node in the current internet of things sensing layer network.
As shown in fig. 3, the violation determination device in this embodiment includes a step calculation module 10, a data acquisition module 20, and a determination recording module 30.
The step size calculation module is used for determining an observation interval based on an adaptive step size algorithm.
The module includes a first computing unit and a second computing unit. When observation interval calculation is performed based on the adaptive step length algorithm, the first calculation unit is used for selecting a smaller disturbance step length in a disturbance step length range as an observation interval when the current working point of the apron guarantee vehicle is located near the maximum power point, so that the tracking precision is improved, and oscillation is avoided.
On the contrary, the second computing unit is used for selecting a larger disturbance step length to increase the tracking speed when the current working point of the apron-guaranteed vehicle is not near the maximum power point, so as to construct an adaptive step length:
in the formula: Δ P ═ P (k) -P (k-1) represents the amount of change in photovoltaic output power, Δ D ═ D (k) -D (k-1) represents the amount of change in duty ratio, DrefThe step factor is η for the duty cycle of the output. Dref' is the duty cycle of the output of the last iteration. The calculation process is shown in fig. 2, where U and I represent the voltage and current, respectively.
The data acquisition module is used for acquiring real-time position and real-time speed according to the observation interval.
That is, on the premise that the observation interval is determined, the current real-time position and the current real-time speed acquired by the terminal device of the apron support vehicle are received from the terminal device of the apron support vehicle according to the observation interval. The observation operation is flexibly configured on the basis of ensuring the precision by acquiring the observation interval, so that the energy consumption is reduced to the maximum extent.
And the judging and recording module is used for judging the violation according to the real-time position and the real-time speed.
And on the basis of obtaining the corresponding apron guarantee vehicle, judging whether the apron guarantee vehicle accords with the apron operation rule, namely judging whether the vehicle violates the regulations. The module comprises an area judgment unit, a state judgment unit and a violation judgment unit.
The area judgment unit is used for judging the area of the apron support vehicle according to the real-time position; the state judging unit is used for judging the running state of the apron support vehicle according to the real-time speed; and the violation judging unit is used for judging whether the vehicle violates the regulations according to whether the running state of the apron in the area where the vehicle is guaranteed conforms to the operation rules of the apron.
In addition, the module also comprises a data recording unit, and the data recording unit is used for recording part or all of the position data and the speed data in the preset time length before and after the violation of the traffic regulation when the position judging unit judges that the apron ensures the traffic regulation.
Specifically, the method for processing different regulations and violation conditions of the apron security vehicle in actual implementation comprises the following steps:
1) the apron operating rules stipulate: when the vehicle runs to the position provided with the inverted triangle deceleration avoidance mark, the surrounding aircraft dynamics are observed in a deceleration mode.
The central position and the area range of the deceleration area are configured in advance in the wireless station level system. Every time the vehicle uploads the real-time position, the system judges whether the vehicle is located in the deceleration area, if the vehicle is located in the deceleration area, the system judges whether the speed of the vehicle exceeds a limit value, if the speed of the vehicle exceeds the limit value, the vehicle breaks rules and regulations, and the system records the vehicle violation information as vehicle position data of 10 minutes before and after the violation time.
2) The apron operating rules stipulate: when the aircraft slides or is dragged, the aircraft should avoid outside the wing tip clear distance line on one side of the aircraft or outside 50m on two sides of the wing tip, and the aircraft should not pass within 200m in front of the aircraft or follow and pass within 100m behind the aircraft. The wireless station level system acquires the position of the aircraft on the station level in real time through an ADS-B receiving device, a field surveillance radar, multipoint positioning and other modes.
Every time the vehicle uploads the real-time position, the system can judge whether the vehicle is located in the range of 200m in front of, 100m behind and 50m on two sides of the aircraft, if the vehicle is located in the range, the vehicle is judged to be illegal, and the system records the illegal information and the position data of the vehicle and the aircraft 3 minutes before and after the illegal time.
3) The apron operating rules stipulate: and (3) stopping the vehicle when the vehicle runs to the position with the stop character mark from the end of each day to the expected 1 hour before takeoff or 30 minutes before landing of the first day of the flight, stopping the vehicle to observe the dynamics of the aircraft in other periods, and passing the vehicle after safety is confirmed.
The wireless station level system is pre-configured with a stop sign position. Every time the vehicle uploads the real-time position, the system can judge for three times:
judging whether the vehicle is in a stop character identification area, wherein the judgment standard is as follows: the distance between the vehicle position and the stop word position is not more than 10 m.
Judging whether the vehicle has a parking action or not, wherein the judgment standard is as follows: the position of the vehicle varies by less than 10m within 10 seconds
And thirdly, judging whether the vehicle needs to be parked at the parking mark position. The wireless station system acquires the end time of each day of flight and the corresponding time of the first scheduled flight in the next day, which is estimated to be 1 hour before the departure or 30 minutes before the landing, from the flight management system. If the current time is within the time period, the vehicle is guaranteed not to stop at the stop character mark position, otherwise, the vehicle is guaranteed not to stop at the stop character mark position.
If the system judges that the vehicle is in the parking character mark area and the vehicle needs to park at the parking character mark area but the vehicle does not park according to the regulation, the system judges that the vehicle violates the regulations and records the violation information of the vehicle and the position data of the vehicle 10 minutes before and after the violation moment.
4) The apron operating rules stipulate: when vehicles running in a flight area meet police cars, fire trucks, engineering emergency vehicles, ambulances and guard fleets for executing tasks, the vehicles should actively decelerate and avoid, and cannot contend for road and rush or follow closely.
Basic information of vehicles is pre-recorded in the wireless station system, and each vehicle has a unique number. The system caches the last vehicle location and time uploaded by each vehicle. Every time the vehicle uploads the position, the system can carry out three judgments:
firstly, judging whether the vehicle is a vehicle needing to be avoided or not, wherein the judgment standard is that the vehicles of a police car, a fire truck, an engineering emergency car, an ambulance and a guard motorcade are the vehicles needing to be avoided.
Judging whether the vehicle is a vehicle needing to avoid other vehicles: the judgment standard is that the vehicles of the non-police vehicle, the fire truck, the engineering emergency vehicle, the ambulance and the guard motorcade are the vehicles needing to avoid other vehicles.
And thirdly, judging whether the two vehicles have the behavior of line snatching or close following, wherein the judgment standard is that the speed of the two vehicles exceeds 30 km/h within 20 seconds continuously and the distance between the two vehicles is less than 20 m.
And if the system judges that the two vehicles have a behavior of overtaking or following a rear-end chase, and the vehicle A belongs to the vehicle needing to be avoided and the vehicle B belongs to the vehicle needing to be avoided of other vehicles, judging that the vehicle B violates the regulations, and recording violation information of the vehicle B and position data of A, B two vehicles 10 minutes before and after the violation time by the system.
According to the technical scheme, the violation judgment method of the apron support vehicle based on the Internet of things is applied to a wireless apron system of the apron, and specifically, an observation interval is determined based on a self-adaptive step algorithm; acquiring the real-time position and the real-time speed of a apron guarantee vehicle according to observation intervals; and judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed. When the wireless station level system judges rules and regulations, the wireless station level system acquires relevant information based on the Internet of things, monitoring personnel are not needed to visually monitor, subjective characteristics of personnel monitoring are not available, and missing judgment and misjudgment can be avoided.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The technical solutions provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in this document by applying specific examples, and the descriptions of the above examples are only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (6)
1. A violation judgment method of an airport apron support vehicle based on the Internet of things is applied to a wireless airport apron system of the airport apron and is characterized by comprising the following steps:
determining an observation interval based on a self-adaptive step length algorithm;
acquiring the real-time position and the real-time speed of the apron guarantee vehicle according to the observation interval;
judging whether the apron guarantee vehicle violates the regulations or not according to the real-time position and/or the real-time speed;
the method for determining the observation interval based on the adaptive step size algorithm comprises the following steps:
when the working point of the apron guarantee vehicle position is near the maximum power point, selecting a smaller disturbance step length in a disturbance step length range obtained by pre-calculation as the observation interval; when the working point is not near the maximum power point, selecting a larger disturbance step length in the disturbance step length range as the observation interval, and constructing an adaptive step length by the following steps:
wherein: Δ P ═ P (k) -P (k-1) represents the amount of change in photovoltaic output power, Δ D ═ D (k) -D (k-1) represents the amount of change in duty ratio, DrefStep size factor is eta, D for the duty cycle of the outputref' is the duty cycle of the output of the last iteration;
the acquiring of the real-time position and the real-time speed of the apron support vehicle according to the observation interval includes: on the premise of determining the observation interval, receiving the real-time position and the real-time speed acquired by the terminal device from the terminal device of the apron support vehicle according to the observation interval; the method comprises the following steps that a plurality of positioning base stations are uniformly arranged on the apron according to a preset rule or the positioning base stations are used for broadcasting a data packet containing the node position of the positioning base station, so that the apron ensures that a vehicle obtains the real-time position and/or the real-time speed according to the data packet.
2. The violation judgment method according to claim 1, wherein said determining whether said apron care vehicle violates a violation based on said real-time location and/or said real-time speed comprises the steps of:
judging the area of the apron support vehicle according to the real-time position;
judging the running state of the apron support vehicle according to the real-time speed;
and judging whether the vehicle violates regulations according to whether the running state of the apron guarantee vehicle in the area conforms to the apron running rules or not.
3. The violation judgment method of claim 2 wherein said determining whether said apron care vehicle violates a violation based on said real-time location and/or said real-time speed further comprises the steps of:
and when the apron ensures that the vehicle breaks rules, recording the real-time position and part or all of the real-time speed within the preset time length before and after the vehicle breaks rules.
4. The utility model provides a judgement device violating regulations of airport apron guarantee vehicle based on thing networking is applied to the wireless station level system on airport apron, its characterized in that, judgement device violating regulations includes:
the step length calculation module is used for determining an observation interval based on a self-adaptive step length algorithm;
the data acquisition module is used for acquiring the real-time position and the real-time speed of the apron guarantee vehicle according to the observation interval;
the judging and recording module is used for judging whether the apron guarantee vehicle violates regulations or not according to the real-time position and/or the real-time speed;
the step size calculation module comprises:
the first calculation unit is used for selecting a smaller disturbance step length in a disturbance step length range obtained by pre-calculation as the observation interval when the working point of the apron guarantee vehicle position is positioned near the maximum power point;
a second calculating unit, configured to select a larger perturbation step size in the perturbation step size range as the observation interval when the operating point is not near the maximum power point, so as to construct an adaptive step size:
wherein: Δ P ═ P (k) -P (k-1) denotes the change in photovoltaic output powerAmount, Δ D ═ D (k) -D (k-1) represents the amount of change in duty cycle, DrefStep size factor is eta, D for the duty cycle of the outputref' is the duty cycle of the output of the last iteration;
the acquiring of the real-time position and the real-time speed of the apron support vehicle according to the observation interval includes: on the premise of determining the observation interval, receiving the real-time position and the real-time speed acquired by the terminal device from the terminal device of the apron support vehicle according to the observation interval; the method comprises the following steps that a plurality of positioning base stations are uniformly arranged on the apron according to a preset rule or the positioning base stations are used for broadcasting a data packet containing the node position of the positioning base station, so that the apron ensures that a vehicle obtains the real-time position and/or the real-time speed according to the data packet.
5. The violation determination device of claim 4 wherein said determination recording module comprises:
the area judgment unit is used for judging the area of the apron support vehicle according to the real-time position;
the state judgment unit is used for judging the running state of the apron support vehicle according to the real-time speed;
and the violation judging unit is used for judging whether the traffic violation is violated according to whether the running state of the apron guarantee vehicle in the area meets the apron running rule or not.
6. The violation determination device of claim 5 wherein said determination recording module further comprises:
and the data recording unit is used for recording the real-time position and part or all of the real-time speed within the preset time length before and after violation occurs when the violation judging unit judges that the apron ensures that the vehicle violates the regulations.
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