CN114882603A - Control method and system of intelligent barrier machine, intelligent barrier machine and storage medium - Google Patents
Control method and system of intelligent barrier machine, intelligent barrier machine and storage medium Download PDFInfo
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
- G07B15/04—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems comprising devices to free a barrier, turnstile, or the like
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/22—Platooning, i.e. convoy of communicating vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application provides a control method of an intelligent barrier machine, which comprises the following steps: acquiring data of a plurality of queued vehicles, wherein the data of the plurality of queued vehicles comprises license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles; and determining a control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles. The application also provides a control system of the intelligent barrier machine, the intelligent barrier machine and a storage medium.
Description
Technical Field
The application relates to the technical field of parking, in particular to a control method and a control system for an intelligent barrier machine, the intelligent barrier machine and a storage medium.
Background
A barrier is a device for automatically charging a vehicle for interception, and is also used in some areas where vehicles are restricted from freely entering and exiting.
After the design of the railing machine is completed, parameters such as the rotating speed of the motor, the transmission ratio and the like are determined, namely the time for completing one stroke of the railing is determined. This time does not necessarily correspond to the actual requirements of the toll booth. When the vehicle passes through the peak, if the opening and closing time of the handrail is longer, the vehicle can continue to move forward after the completion of payment by waiting until the handrail is completely opened, so that the waiting time of the vehicle behind is increased. The time wasted by each vehicle accumulates backwards, so that the vehicle overstock condition becomes more and more serious.
Disclosure of Invention
The invention aims to provide a control method and a control system of an intelligent barrier machine, the intelligent barrier machine and a storage medium, and the speed of a vehicle passing through the intelligent barrier machine is improved.
In order to achieve the above object, the present invention provides the following technical solutions:
in a first aspect, a control method of an intelligent barrier machine is provided, and the control method of the intelligent barrier machine includes:
acquiring data of a plurality of queued vehicles, wherein the data of the plurality of queued vehicles comprises license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles;
and determining a control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles.
Further, determining the control strategy of the intelligent barrier according to the data of the plurality of queued vehicles comprises:
calculating the total time of the plurality of queued vehicles passing through the intelligent barrier machine according to the data of the plurality of queued vehicles;
when the total duration is longer than a first preset total duration and shorter than a second preset total duration, determining that the control strategy of the intelligent barrier machine is a strategy for improving the speed of the lifting rod of the intelligent barrier machine, wherein the second preset total duration is longer than the first preset total duration;
and when the total duration is greater than a second preset duration, determining that the control strategy of the intelligent barrier machine is a non-rod-falling strategy of the intelligent barrier machine.
Further, calculating the total time length of the plurality of vehicles in line passing through the intelligent barrier machine according to the data of the plurality of vehicles in line comprises:
acquiring a first quantity of unpaid vehicles and a second quantity of paid vehicles according to the data of the plurality of queued vehicles;
acquiring a preset third time length for each unpaid vehicle to pass through the intelligent barrier machine and a preset fourth time length for each paid vehicle to pass through the intelligent barrier machine;
and calculating the total time length of the plurality of queued vehicles passing through the intelligent barrier machine according to the first number, the second number, the third time length and the fourth time length.
Further, the intelligent railing machine does not fall pole tactics include:
acquiring the state of the intelligent barrier machine;
when the state of the intelligent barrier machine is an open state;
judging whether the first queuing vehicle is a paid vehicle or not according to the data of the plurality of queuing vehicles;
when the first queuing vehicle is a paid vehicle, generating a command of not dropping a rod and a command of prompting the first queuing vehicle to pass through the intelligent barrier machine;
and when the first queuing vehicle is not a paid vehicle, generating an instruction for increasing the lifting and falling speed of the intelligent barrier machine.
Further, the intelligent railing machine does not fall pole tactics include:
acquiring the state of the intelligent barrier machine;
when the state of the intelligent barrier machine is an open state;
judging whether the first queuing vehicle is a member vehicle or not according to the data of the queuing vehicles;
when the first queuing vehicle is a member vehicle, generating a command of not dropping the rod and prompting the first queuing vehicle to pass through the command of the intelligent barrier machine.
In a second aspect, the present application is also directed to a control system for an intelligent railing machine, the system comprising:
the system comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring data of a plurality of queued vehicles, and the data of the plurality of queued vehicles comprises license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles;
and the strategy determining module is used for determining the control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles.
Further, the policy determination module includes:
the calculating unit is used for calculating the total time of the plurality of queued vehicles passing through the intelligent barrier machine according to the data of the plurality of queued vehicles;
the first strategy determining unit is used for determining that the control strategy of the intelligent barrier machine is a strategy for improving the speed of a lifting rod of the intelligent barrier machine when the total time length is longer than a first preset total time length and shorter than a second preset total time length, wherein the second preset total time length is longer than the first preset total time length;
and the second strategy determining unit is used for determining that the control strategy of the intelligent barrier machine is the intelligent barrier machine rod falling-free strategy when the total time length is greater than a second preset time length.
In a third aspect, an intelligent barrier machine is provided, which includes: a memory for storing a computer executable program; and a processor for executing the executable program to implement the control method of the intelligent barrier machine as described above.
In a fourth aspect, a computer-readable storage medium is further provided, wherein the storage medium is used for storing a computer-executable program, and the computer-executable program is executed by a processor to realize the control method of the intelligent barrier machine.
The control method and system of the intelligent barrier machine, the intelligent barrier machine and the storage medium. And determining a control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles by acquiring the data of the plurality of queued vehicles. The control strategy of the intelligent barrier machine can be adjusted in real time according to the number of the vehicles, the passing speed of the traffic flow is improved, the phenomena of congestion and waste of waiting time of the vehicle owner are avoided, and the experience of the vehicle owner is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1 is a schematic flow chart illustrating steps of a control method of an intelligent railing machine according to an embodiment of the present disclosure;
fig. 2 is a schematic view of an intelligent railing airport scene provided in an embodiment of the present application;
fig. 3 is a flow chart illustrating a sub-step of step S20 of the control method of the intelligent balustrade machine according to the embodiment of the present application;
fig. 4 is a schematic flow chart illustrating a sub-step of step S201 of a control method of an intelligent railing machine according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating steps of a first embodiment of a control method of an intelligent barrier machine according to an embodiment of the present application;
fig. 6 is a schematic step flow diagram of a control method of an intelligent barrier machine according to a second embodiment of the present application.
Fig. 7 is an internal structure diagram of a control system of the intelligent barrier machine provided in the embodiment of the present application.
Fig. 8 is an internal structural diagram of a policy determination module according to an embodiment of the present application.
Fig. 9 is an internal structure schematic diagram of the intelligent railing machine provided in the embodiment of the present application.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
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.
It is noted that the terms "comprises," "comprising," and "having" and any variations thereof in the description and claims of this application and the drawings described above are intended to cover non-exclusive inclusions. For example, a process, method, terminal, product, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus. In the claims, the description and the drawings of the specification of the present application, relational terms such as "first" and "second", and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Please refer to fig. 1 in combination, which is a schematic flowchart illustrating steps of a control method of an intelligent barrier machine according to an embodiment of the present application.
Step S10, data of a plurality of queued vehicles are obtained, wherein the data of the plurality of queued vehicles comprise license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles. Specifically, as shown in fig. 2, the intelligent barrier 100 obtains data of a plurality of vehicles in line through the vehicle detection device. The vehicle detection device comprises one or more sensors in a camera, a laser radar or a millimeter wave radar. And acquiring the license plate of the queued vehicle, and identifying the license plate number so as to acquire the payment condition of the vehicle. The payment conditions comprise paid and unpaid payment.
And step S20, determining the control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles. Specifically, how to determine the control strategy of the intelligent barrier machine according to the data of the queued vehicles will be described in detail below.
Please refer to fig. 3, which is a schematic flowchart illustrating a sub-step of step S20 of the control method of the intelligent balustrade apparatus according to an embodiment of the present application.
Step S201, calculating the total time of the plurality of queued vehicles passing through the intelligent barrier according to the data of the plurality of queued vehicles. Specifically, the data of the plurality of queued vehicles includes the total number of queued vehicles, payment conditions, the number of paid vehicles, the number of unpaid vehicles, and the like. How to calculate the total time length of the plurality of vehicles in line passing through the intelligent barrier machine according to the data of the plurality of vehicles in line will be described in detail below.
Step S202, when the total duration is longer than a first preset total duration and shorter than a second preset total duration, determining that the control strategy of the intelligent barrier machine is a strategy for improving the speed of the lifting rod of the intelligent barrier machine, wherein the second preset total duration is longer than the first preset total duration. Specifically, when the vehicle is in the off-duty peak, the underground garage of a certain office building is queued to pay too many vehicles out of the garage. The intelligent barrier machine 100 may cause the vehicle to queue too long in a normal mode, which may cause congestion. The need to evaluate the queuing of vehicles increases the speed of the lifting bar of the smart bar 100, thereby reducing the waiting time for the queued vehicles.
Step S203, when the total duration is longer than a second preset duration, determining that the control strategy of the intelligent barrier machine is the intelligent barrier machine rod falling-free strategy. Specifically, when the vehicle is in the off-duty peak, the underground garage of a certain office building is queued to pay too many vehicles out of the garage. After the intelligent barrier machine 100 is adopted, the situation of congestion cannot be relieved or solved. Then need lift the pole when intelligent barrier machine 10 passes through for last vehicle, the next vehicle of passing through has paid fee, then need not the pole that falls, keeps opening the state, and this vehicle can directly pass through, need not to wait for in the suggestion of the display of intelligent barrier machine 10, lets this vehicle pass through fast.
Please refer to fig. 4, which is a schematic flowchart illustrating a sub-step of step S201 of the control method of the intelligent balustrade apparatus according to an embodiment of the present application.
Step S2011, acquiring a first quantity of unpaid vehicles and a second quantity of paid vehicles according to the data of the plurality of queued vehicles. Specifically, the data for the number of queued vehicles includes a first number of outstanding vehicles and a second number of paid vehicles.
Step S2012, a third time period when each pre-set unpaid vehicle passes through the intelligent barrier and a fourth time period when each pre-set paid vehicle passes through the intelligent barrier are obtained. Wherein, the third duration and the fourth duration are pre-stored in the intelligent barrier machine 100.
And S2013, calculating the total time length of the plurality of queued vehicles passing through the intelligent barrier machine according to the first number, the second number, the third time length and the fourth time length.
Please refer to fig. 5 in combination, which is a schematic flowchart illustrating steps of a first embodiment of a control method of an intelligent barrier machine according to an embodiment of the present application.
And S301, acquiring the state of the intelligent barrier machine. Specifically, the intelligent barrier machine 100 includes an open state and a closed state. The open state is to allow passage of a vehicle and the closed state is to block passage of a vehicle. The intelligent barrier machine 100 needs to raise the rod from the closed state to the open state and to drop the rod from the closed state to the open state.
Step S302, when the state of the intelligent barrier machine is an open state.
Step S303, judging whether the first queuing vehicle is a paid vehicle according to the data of the plurality of queuing vehicles. Specifically, the data of the plurality of queued vehicles includes payment conditions of the queued vehicles. As shown in fig. 2, the intelligent barrier 100 is in an open state, and the vehicle 1 is a first-in-line vehicle.
Step S304, when the first queuing vehicle is a paid vehicle, generating a command of not dropping the rod and a command of prompting the first queuing vehicle to pass through the intelligent barrier machine. Specifically, the intelligent barrier 100 is in an open state, and the vehicle 1 is a first-in-line vehicle, and the license plate of the vehicle 1 is vietnamese bxxxx. When the payment condition of the vehicle 1 is the payment, the intelligent barrier 100 is kept in an open state, and a display screen of the intelligent barrier 100 displays 'yue bxxxx', and the vehicle does not need to wait for directly leaving the garage when the payment is made. Or, the loudspeaker of the intelligent barrier 100 broadcasts "yue bxxxx", the paid fee does not need to wait for directly driving out of the garage ".
Step S305, when the first queuing vehicle is not a paid vehicle, generating an instruction for increasing the lifting and falling speed of the intelligent barrier machine. Specifically, intelligent barrier machine 100 is for opening the state, then vehicle 1 is the vehicle of arranging in a queue, and when the condition of paying of vehicle 1 was not paid, intelligent barrier machine 100 improved the speed that the pole fell down, when vehicle 1 accomplished to pay, improved speed again and lifted the pole.
Please refer to fig. 6, which is a schematic flowchart illustrating steps of a second embodiment of a control method for an intelligent balustrade machine according to an embodiment of the present application.
And S401, acquiring the state of the intelligent barrier machine. Specifically, the intelligent barrier machine 100 includes an open state and a closed state. The open state is to allow passage of a vehicle and the closed state is to block passage of a vehicle. The intelligent barrier machine 100 needs to raise the rod from the closed state to the open state and to drop the rod from the closed state to the open state.
And S402, when the state of the intelligent barrier machine is an open state.
And step S403, judging whether the first queuing vehicle is a member vehicle or not according to the data of the plurality of queuing vehicles. Specifically, the member vehicle in the present embodiment includes a vehicle that has paid an annual parking fee or a monthly parking fee.
Step S404, when the first queuing vehicle is a member vehicle, generating a command of not dropping the rod and a command of prompting the first queuing vehicle to pass through the intelligent barrier machine.
Please refer to fig. 7 in combination, which is an internal structure diagram of a control system of an intelligent barrier machine according to an embodiment of the present application. The control system 10 of the intelligent barrier machine includes:
the information acquisition module 11 is configured to acquire data of a plurality of queued vehicles, where the data of the plurality of queued vehicles includes license plates of the queued vehicles, payment conditions, and a queuing order between the license plates of the queued vehicles. Specifically, as shown in fig. 2, the control system 10 of the intelligent barrier machine acquires data of a plurality of vehicles in line through the information acquisition module 11. The information obtaining module 11 includes one or more sensors in a camera, a laser radar or a millimeter wave radar. And acquiring the license plate of the queued vehicle, and identifying the license plate number so as to acquire the payment condition of the vehicle. The payment conditions comprise paid and unpaid payment.
And the strategy determining module 12 is used for determining the control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles.
Please refer to fig. 8 in combination, which is a block diagram of an internal structure of a policy determination module according to an embodiment of the present application. The policy determination module 12 includes:
the calculating unit 121 is configured to calculate the total time length of the plurality of queued vehicles passing through the intelligent barrier machine according to the data of the plurality of queued vehicles.
The first policy determining unit 122 is configured to determine that the control policy of the intelligent barrier machine is a policy for increasing the speed of the lifting rod of the intelligent barrier machine when the total duration is greater than a first preset total duration and less than a second preset total duration, where the second preset total duration is greater than the first preset total duration.
A second policy determining unit 123, configured to determine, when the total duration is greater than a second preset duration, that the control policy of the intelligent barrier machine is the intelligent barrier machine non-rod-falling policy.
Please refer to fig. 9, which provides a schematic view of an internal structure of an intelligent railing machine according to an embodiment of the present application. The intelligent barrier machine is used for a control method of the intelligent barrier machine. The intelligent barrier machine includes a memory 1002, and a processor 1001. The memory 1002 is used for storing a computer executable program, and the processor 1001 is used for executing the executable program to implement the control method of the intelligent barrier machine provided by the above embodiments.
The processor 1001 may be, in some embodiments, a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip for executing computer executable programs stored in the memory 1002. Specifically, the processor 1001 executes an executable program to implement the control method of the intelligent barrier machine.
The memory 1002 includes at least one type of readable storage medium including flash memory, hard disks, multi-media cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 1002 may be an internal storage unit of the intelligent barrier machine in some embodiments, such as a hard disk of the intelligent barrier machine. The memory 1002 may also be an external Smart railing machine storage device in other embodiments, such as a plug-in hard drive provided on a Smart railing machine, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so forth. Further, the memory 1002 may also include both an internal storage unit and an external storage device of the intelligent railing machine. The memory 1002 can be used not only to store application software installed in the intelligent railing machine and various kinds of data, but also to temporarily store data that has been output or will be output.
The intelligent barrier machine also includes a bus 1003. The bus 1003 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
Further, the intelligent railing machine may also include a display component 1004. The display component 1004 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, and the like. The display component 1004 may also be referred to as a display device or display unit, as appropriate, information processed in the smart ticker, and a user interface for displaying visualizations, among other things.
Further, the intelligent barrier machine may also include a communication component 1005. The communication component 1005 may optionally include a wired communication component and/or a wireless communication component (e.g., WI-FI communication component, bluetooth communication component, etc.), and typically establishes a communication connection between the intelligent barrier and other computer devices.
Fig. 9 is only shown with a partial assembly and implementation of the intelligent railing machine, and those skilled in the art will appreciate that the structure shown in fig. 9 does not constitute a limitation of the intelligent railing machine, and may include fewer or more components than those shown, or some components in combination, or a different arrangement of components.
The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The emulated computer device may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions can be transmitted from one website site, computer, intelligent railing machine, or data center to another website site, computer, intelligent railing machine, or data center by wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium can be any available medium that a computer can store or a data storage device including one or more available media integrated intelligent railings, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described system embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing an emulated computer device (which may be a personal computer, a smart rail machine, or a network device) to perform all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (9)
1. A control method of an intelligent barrier machine is characterized by comprising the following steps:
acquiring data of a plurality of queued vehicles, wherein the data of the plurality of queued vehicles comprises license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles;
and determining a control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles.
2. The method of controlling an intelligent barrier machine according to claim 1, wherein determining the control strategy of the intelligent barrier machine based on the data of the plurality of in-line vehicles comprises:
calculating the total time of the plurality of queued vehicles passing through the intelligent barrier machine according to the data of the plurality of queued vehicles;
when the total duration is longer than a first preset total duration and shorter than a second preset total duration, determining that the control strategy of the intelligent barrier machine is a strategy for improving the speed of the lifting rod of the intelligent barrier machine, wherein the second preset total duration is longer than the first preset total duration;
and when the total duration is greater than a second preset duration, determining that the control strategy of the intelligent barrier machine is a non-rod-falling strategy of the intelligent barrier machine.
3. The method of controlling an intelligent barrier machine according to claim 2, wherein calculating the total length of time that the number of vehicles in line pass through the intelligent barrier machine based on the data of the number of vehicles in line comprises:
acquiring a first quantity of unpaid vehicles and a second quantity of paid vehicles according to the data of the plurality of queued vehicles;
acquiring a preset third time length for each unpaid vehicle to pass through the intelligent barrier and a preset fourth time length for each paid vehicle to pass through the intelligent barrier;
and calculating the total time length of the plurality of queued vehicles passing through the intelligent barrier machine according to the first number, the second number, the third time length and the fourth time length.
4. The control method of the intelligent railing machine as claimed in claim 2, wherein the intelligent railing machine non-dropping strategy comprises:
acquiring the state of the intelligent barrier machine;
when the state of the intelligent barrier machine is an open state;
judging whether the first queuing vehicle is a paid vehicle or not according to the data of the plurality of queuing vehicles;
when the first queuing vehicle is a paid vehicle, generating a command of not dropping a rod and a command of prompting the first queuing vehicle to pass through the intelligent barrier machine;
and when the first queuing vehicle is not a paid vehicle, generating an instruction for increasing the lifting and falling speed of the intelligent barrier machine.
5. The control method of the intelligent barrier machine according to claim 2, wherein the intelligent barrier machine rod-dropping strategy comprises:
acquiring the state of the intelligent barrier machine;
when the state of the intelligent barrier machine is an open state;
judging whether the first queuing vehicle is a member vehicle or not according to the data of the queuing vehicles;
when the first queuing vehicle is a member vehicle, generating a command of not dropping the rod and prompting the first queuing vehicle to pass through the command of the intelligent barrier machine.
6. A control system of an intelligent railing machine, the system comprising:
the system comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring data of a plurality of queued vehicles, and the data of the plurality of queued vehicles comprises license plates of the queued vehicles, payment conditions and queuing sequences among the license plates of the queued vehicles;
and the strategy determining module is used for determining the control strategy of the intelligent barrier machine according to the data of the plurality of queued vehicles.
7. The control system of an intelligent railing machine as set forth in claim 6 wherein said strategy determining module includes:
the calculating unit is used for calculating the total time of the plurality of queued vehicles passing through the intelligent barrier machine according to the data of the plurality of queued vehicles;
the first strategy determining unit is used for determining that the control strategy of the intelligent barrier machine is a strategy for improving the speed of a lifting rod of the intelligent barrier machine when the total time length is longer than a first preset total time length and shorter than a second preset total time length, wherein the second preset total time length is longer than the first preset total time length;
and the second strategy determining unit is used for determining that the control strategy of the intelligent barrier machine is the intelligent barrier machine rod falling-free strategy when the total time length is greater than a second preset time length.
8. The utility model provides an intelligence barrier machine which characterized in that, intelligence barrier machine includes: a memory for storing a computer executable program; and a processor for executing the executable program to realize the control method of the intelligent barrier machine according to any one of claims 1-5.
9. A computer-readable storage medium for storing a computer-executable program, the computer-executable program being executed by a processor to implement the method of controlling an intelligent barrier machine according to any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117576796A (en) * | 2023-10-18 | 2024-02-20 | 山东高速信息集团有限公司 | Self-service lane control method, device and medium based on edge cloud |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014019325A1 (en) * | 2012-08-02 | 2014-02-06 | Li Huarong | Car park charging apparatus |
| CN105970851A (en) * | 2016-05-31 | 2016-09-28 | 河北中岗通讯工程有限公司 | Self-adaptation system for rising and falling speeds of rail machine |
| CN206438434U (en) * | 2016-08-09 | 2017-08-25 | 深圳市威捷机电股份公司 | Can be according to the banister of vehicle flowrate adjust automatically speed |
| CN107610473A (en) * | 2017-09-06 | 2018-01-19 | 广东艾科智泊科技股份有限公司 | A kind of peak period quickly goes out field method, system |
| JP2018170702A (en) * | 2017-03-30 | 2018-11-01 | 沖電気工業株式会社 | Communication unit, notification system, and state attribute determination program |
| CN112700641A (en) * | 2020-12-17 | 2021-04-23 | 杭州海康威视***技术有限公司 | Parking lot management method and device, electronic equipment and storage medium |
| US20210142660A1 (en) * | 2019-11-13 | 2021-05-13 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method for detecting vehicle queue length |
-
2022
- 2022-03-28 CN CN202210311335.XA patent/CN114882603A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014019325A1 (en) * | 2012-08-02 | 2014-02-06 | Li Huarong | Car park charging apparatus |
| CN105970851A (en) * | 2016-05-31 | 2016-09-28 | 河北中岗通讯工程有限公司 | Self-adaptation system for rising and falling speeds of rail machine |
| CN206438434U (en) * | 2016-08-09 | 2017-08-25 | 深圳市威捷机电股份公司 | Can be according to the banister of vehicle flowrate adjust automatically speed |
| JP2018170702A (en) * | 2017-03-30 | 2018-11-01 | 沖電気工業株式会社 | Communication unit, notification system, and state attribute determination program |
| CN107610473A (en) * | 2017-09-06 | 2018-01-19 | 广东艾科智泊科技股份有限公司 | A kind of peak period quickly goes out field method, system |
| US20210142660A1 (en) * | 2019-11-13 | 2021-05-13 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method for detecting vehicle queue length |
| CN112700641A (en) * | 2020-12-17 | 2021-04-23 | 杭州海康威视***技术有限公司 | Parking lot management method and device, electronic equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117576796A (en) * | 2023-10-18 | 2024-02-20 | 山东高速信息集团有限公司 | Self-service lane control method, device and medium based on edge cloud |
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