CN114241755A - Real-time optimal scheduling system for garden vehicles - Google Patents
Real-time optimal scheduling system for garden vehicles Download PDFInfo
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- CN114241755A CN114241755A CN202111478223.5A CN202111478223A CN114241755A CN 114241755 A CN114241755 A CN 114241755A CN 202111478223 A CN202111478223 A CN 202111478223A CN 114241755 A CN114241755 A CN 114241755A
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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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration
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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
- G08G1/0125—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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
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Abstract
The invention relates to a vehicle dispatching system, in particular to a garden vehicle real-time optimization dispatching system, which comprises a controller, a normal lane, a priority lane, an adjusting lane, a work platform image acquisition module, a public area image acquisition module, a normal lane image acquisition module and a priority lane image acquisition module, wherein the normal lane is arranged at an entrance of a garden and normally enters the garden; the technical scheme provided by the invention can effectively overcome the defect that the intelligent scheduling and efficient management of the park vehicles cannot be carried out in the prior art.
Description
Technical Field
The invention relates to a vehicle dispatching system, in particular to a park vehicle real-time optimization dispatching system.
Background
Along with the popularization of networks, the intelligent degree of each aspect of life is improved, and various intelligent products stand out to provide efficient service for life. Wherein, the thing networking is applied to wisdom garden and has promoted the intelligent process in garden, provides high-efficient service for the development of garden industry. The intelligent park is a standard building or building group which is complete in water supply, power supply, gas supply, communication, roads, storage and other supporting facilities, reasonable in layout and capable of meeting production requirements of the logistics industry, and can adjust the economic industry structure and gather industrial advantages.
Express delivery trade high-speed development, a plurality of cities are provided with a plurality of centers of allocating, allocate and set up wisdom garden in the center, and set up a plurality of partitions of loading and the partition of unloading in each garden, carry out freight through the vehicle between transfer station and the site. For example, the transfer station loads goods coming from the outside through a vehicle and then transports the goods to a corresponding network point for unloading, and the network point transports the goods to be transported to the transfer station for unloading and then transports the goods out of the transfer station. In order to adapt to the increasing vehicles in the garden, maintain the order of the garden and ensure the safety, tidiness and orderliness of the garden, the intelligent management of the garden vehicle scheduling is urgent.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a real-time optimal scheduling system for park vehicles, which can effectively overcome the defects that the park vehicles cannot be intelligently scheduled and efficiently managed in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
the utility model provides a garden vehicle optimizes dispatch system in real time, includes the controller, locates the normal lane that the garden entrance normally got into the garden, locates the priority lane that is used for preferential passing vehicle to go by other being used for of normal lane, locates the regulation lane that is used for the vehicle that inserts the priority lane and gets into the normal lane of advancing into of normal lane other being used for of normal lane to and
the working platform image acquisition module is used for acquiring an image of a working platform corresponding to each warehouse door;
the public area image acquisition module is used for acquiring images of public parking areas in the park;
the normal lane image acquisition module is used for acquiring images of a normal lane;
the priority lane image acquisition module is used for acquiring images of the priority lane;
the data storage module is used for storing relevant information of the registered vehicle;
the license plate recognition module is used for recognizing license plates in images collected by the working platform image collection module, the public area image collection module, the normal lane image collection module and the priority lane image collection module;
the vacant vehicle analysis module is used for analyzing the collected images of the working platform image collection module and the public area image collection module and judging whether vacant positions exist in the working platform and the public parking area;
the vehicle attribute analysis module is used for calling corresponding related information from the data storage module according to the license plate recognition result of the license plate recognition module and judging the vehicle attribute;
the data recording module is used for recording the vehicle attributes judged by the vehicle attribute analysis module in the acquired images of the normal lane image acquisition module and the priority lane image acquisition module;
the prior lane vehicle checking module is used for carrying out secondary recognition on the license plate in the image acquired by the prior lane image acquisition module and checking the license plate with the stored information in the data recording module;
the first information prompting module is arranged on the priority lane and used for prompting related information of vehicles which can enter the priority lane, related information of vehicles which enter the priority lane in an inserting queue and related information of vehicles which give way for vehicles in a normal lane;
the second information prompting module is arranged in the park and used for prompting relevant information of vehicles which do not belong to a working platform and a public parking area;
the first barrier gate control module is used for controlling the first barrier gate arranged on the priority lane according to the checking result of the vehicle checking module of the priority lane;
and the second barrier control module is used for controlling a second barrier arranged on the normal lane according to the vehicle attribute analysis result of the vehicle attribute analysis module.
Preferably, the license plate recognition module recognizes license plates in images collected by the work platform image collection module and the public area image collection module, and packs and sends license plate recognition results together with the work platform number or the public parking area number to which the corresponding collection module belongs to the vacant vehicle analysis module;
the license plate recognition module recognizes the license plate in the collected image, and comprises the following steps:
s1, sequentially extracting image features through the plurality of convolution layers to obtain feature maps capable of expressing different layers;
s2, obtaining an interested area in the characteristic diagram through the full connection layer;
s3, acquiring a feature map extracted from the designated convolutional layer from the plurality of feature maps, and extracting an interested region for feature fusion;
and S4, passing the feature map after feature fusion through a classifier to obtain the recognition characters.
Preferably, the vacant vehicle analysis module analyzes the acquired image of the public area image acquisition module, and when the working platform is judged to have a vacancy, if the vehicle attribute analysis module analyzes the vehicle attribute of the first vehicle positioned in the normal lane as a freight vehicle, the controller controls the second barrier gate to be opened through the second barrier gate control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the freight vehicle enters the priority lane, and controls the first barrier gate to be opened through the first barrier gate control module.
Preferably, the vacant vehicle analysis module analyzes the acquired image of the working platform image acquisition module, and when it is judged that a vacant space exists in the public parking area, if the vehicle attribute analysis module analyzes the vehicle attribute of the first vehicle located in the normal lane as a non-freight vehicle, the controller controls the second barrier to be opened through the second barrier control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the non-freight vehicle enters the priority lane, and controls the first barrier to be opened through the first barrier control module.
Preferably, when the vehicle checking module of the priority lane judges that vehicles which enter the priority lane are present in the priority lane, the controller prompts the relevant information of the vehicles which enter the priority lane by the queue through the first information prompting module, and prompts the vehicles to enter the normal lane.
Preferably, in the process that the vehicle entering the priority lane enters the normal lane, if the normal lane is in a traveling state, the vehicle directly enters the normal lane; if the normal lane is in a congestion state, the vehicles in the normal lane enter the adjusting lane, and the vehicles in the priority lane enter the corresponding empty position of the normal lane.
Preferably, the system further comprises a dispatching strategy making module used for inputting dispatching strategies, wherein the dispatching strategies comprise setting the priority of the freight vehicles and the non-freight vehicles entering the park and the number of vehicles which can be accommodated by the working platform and the public parking area.
Preferably, the lane adjusting vehicle detection module is arranged on the adjusting lane and used for detecting whether a vehicle exists in the adjusting lane, and when the lane adjusting vehicle detection module detects that a vehicle exists in the adjusting lane, the controller controls the first information prompting module to prompt the related information of the vehicle which gives way for the vehicle in the adjusting lane in the normal lane.
Preferably, the controller controls the second information prompt module to prompt information about a vehicle currently entering the campus, and a number of a work platform or a number of a public parking area to which the vehicle is driven.
Preferably, the license plate recognition module packages and sends the license plate recognition result together with the serial number of the working platform to which the corresponding acquisition module belongs or the serial number of the public parking area to the vacant vehicle analysis module, and the vacant vehicle analysis module retrieves corresponding related information from the data storage module and judges whether the vehicle attribute is consistent with the parking area;
and if the vehicle attribute is not matched with the parking area, the controller prompts related information of the vehicle which does not belong to the working platform and the public parking area through a second information prompting module.
(III) advantageous effects
Compared with the prior art, the park vehicle real-time optimization scheduling system provided by the invention has the advantages that the priority lane and the adjusting lane are arranged beside the normal lane at the entrance of the park, so that waiting vehicles at the entrance of the park can rapidly and orderly enter the park, the vehicles at the entrance of the park are prevented from being jammed, the entering vehicles can be subjected to partitioned management, meanwhile, illegal parking vehicles in the park can be timely prompted, and the intelligent scheduling and the efficient management of the park vehicles are realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a normal lane, a priority lane and an adjustment lane according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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 invention.
A real-time optimized dispatching system for vehicles in a park, as shown in fig. 1 and 2, comprises a controller, a normal lane arranged at an entrance of the park for normally entering the park, a priority lane arranged beside the normal lane for preferentially passing through the vehicles, an adjusting lane arranged beside the normal lane for enabling the vehicles inserted into the priority lane to enter the normal lane, and
the working platform image acquisition module is used for acquiring an image of a working platform corresponding to each warehouse door;
the public area image acquisition module is used for acquiring images of public parking areas in the park;
the normal lane image acquisition module is used for acquiring images of a normal lane;
the priority lane image acquisition module is used for acquiring images of the priority lane;
the data storage module is used for storing relevant information of the registered vehicle;
the license plate recognition module is used for recognizing license plates in images collected by the working platform image collection module, the public area image collection module, the normal lane image collection module and the priority lane image collection module;
the vacant vehicle analysis module is used for analyzing the collected images of the working platform image collection module and the public area image collection module and judging whether vacant positions exist in the working platform and the public parking area;
the vehicle attribute analysis module is used for calling corresponding related information from the data storage module according to the license plate recognition result of the license plate recognition module and judging the vehicle attribute;
the data recording module is used for recording the vehicle attributes judged by the vehicle attribute analysis module in the acquired images of the normal lane image acquisition module and the priority lane image acquisition module;
the prior lane vehicle checking module is used for carrying out secondary recognition on the license plate in the image acquired by the prior lane image acquisition module and checking the license plate with the stored information in the data recording module;
the first information prompting module is arranged on the priority lane and used for prompting related information of vehicles which can enter the priority lane, related information of vehicles which enter the priority lane in an inserting queue and related information of vehicles which give way for vehicles in a normal lane;
the second information prompting module is arranged in the park and used for prompting relevant information of vehicles which do not belong to a working platform and a public parking area;
the first barrier gate control module is used for controlling the first barrier gate arranged on the priority lane according to the checking result of the vehicle checking module of the priority lane;
and the second barrier control module is used for controlling a second barrier arranged on the normal lane according to the vehicle attribute analysis result of the vehicle attribute analysis module.
The license plate recognition module recognizes license plates in the images collected by the work platform image collection module and the public area image collection module, and packs and sends license plate recognition results together with the work platform number or the public parking area number to which the corresponding collection module belongs to the vacant vehicle analysis module.
Wherein, license plate recognition module discerns the license plate in the collection image, includes:
s1, sequentially extracting image features through the plurality of convolution layers to obtain feature maps capable of expressing different layers;
s2, obtaining an interested area in the characteristic diagram through the full connection layer;
s3, acquiring a feature map extracted from the designated convolutional layer from the plurality of feature maps, and extracting an interested region for feature fusion;
s4, passing the feature map after feature fusion through a classifier to obtain the recognition character
Obtaining a region of interest in the feature map through the fully connected layer, comprising:
inputting the feature map extracted from the last convolutional layer into a spatial pyramid pooling layer to obtain a feature vector for expressing the fixed size of the feature map;
and inputting the feature vectors into the full-connection layer to obtain an interested area about the license plate information in the feature map.
The vacant vehicle analysis module analyzes the acquired image of the public area image acquisition module, and judges that a vacant position exists on the working platform, if the vehicle attribute analysis module analyzes the vehicle attribute of the first vehicle positioned on the normal lane as a freight vehicle, the controller controls the second barrier gate to be opened through the second barrier gate control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the freight vehicle enters the priority lane, and controls the first barrier to be opened through the first barrier control module.
The vacant vehicle analysis module analyzes the acquired image of the working platform image acquisition module, and judges that a vacant space exists in the public parking area, if the vehicle attribute analysis module analyzes the vehicle attribute of the first vehicle positioned in the normal lane as a non-freight vehicle, the controller controls the second barrier gate to be opened through the second barrier gate control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the non-freight vehicle enters the priority lane, and controls the first barrier to be opened through the first barrier control module.
The controller controls the second information prompt module to prompt the related information of the vehicle entering the park at present, and the number of the vehicle driving to the working platform or the number of the public parking area.
When the vehicle checking module of the priority lane judges that vehicles which are inserted into the priority lane exist in the priority lane, the controller prompts the relevant information of the vehicles which are inserted into the priority lane through the first information prompting module and prompts the vehicles to enter a normal lane.
When the vehicles entering the priority lane enter the normal lane, if the normal lane is in a running state, the vehicles directly enter the normal lane; if the normal lane is in a congestion state, the vehicles in the normal lane enter the adjusting lane, and the vehicles in the priority lane enter the corresponding empty position of the normal lane.
In the technical scheme, the lane adjusting vehicle detection module is arranged on the adjusting lane and used for detecting whether vehicles exist in the adjusting lane, and when the lane adjusting vehicle detection module detects that vehicles exist in the adjusting lane, the controller controls the first information prompt module to prompt relevant information of vehicles giving way for the adjusting lane vehicles in the normal lane.
Among this application technical scheme, set up preferential lane, regulation lane by the normal lane at garden entrance for the waiting vehicle of garden entrance can get into the garden fast, orderly, prevents that garden entrance vehicle from blocking up.
In the technical scheme, the system further comprises a scheduling strategy making module used for inputting a scheduling strategy, wherein the scheduling strategy comprises the setting of the priority of the freight vehicles and the non-freight vehicles entering the park and the number of vehicles which can be accommodated in a working platform and a public parking area. By setting the scheduling strategy in a personalized way, the vehicles in different-scale large and small parks can be effectively scheduled.
And the license plate recognition module packs and sends the license plate recognition result together with the serial number of the working platform or the public parking area to which the corresponding acquisition module belongs to the vacant vehicle analysis module, and the vacant vehicle analysis module calls corresponding related information from the data storage module and judges whether the vehicle attribute is consistent with the parking area.
And if the vehicle attribute is not matched with the parking area, the controller prompts related information of the vehicle which does not belong to the working platform and the public parking area through a second information prompting module.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The utility model provides a real-time optimal dispatch system of garden vehicle which characterized in that: including the controller, locate the normal lane that the garden entrance normally got into the garden, locate the priority lane that is used for preferential passing vehicle to go by normal lane other, locate the regulation lane that is used for the vehicle that inserts the priority lane that gets into of normal lane other and get into the normal lane, and
the working platform image acquisition module is used for acquiring an image of a working platform corresponding to each warehouse door;
the public area image acquisition module is used for acquiring images of public parking areas in the park;
the normal lane image acquisition module is used for acquiring images of a normal lane;
the priority lane image acquisition module is used for acquiring images of the priority lane;
the data storage module is used for storing relevant information of the registered vehicle;
the license plate recognition module is used for recognizing license plates in images collected by the working platform image collection module, the public area image collection module, the normal lane image collection module and the priority lane image collection module;
the vacant vehicle analysis module is used for analyzing the collected images of the working platform image collection module and the public area image collection module and judging whether vacant positions exist in the working platform and the public parking area;
the vehicle attribute analysis module is used for calling corresponding related information from the data storage module according to the license plate recognition result of the license plate recognition module and judging the vehicle attribute;
the data recording module is used for recording the vehicle attributes judged by the vehicle attribute analysis module in the acquired images of the normal lane image acquisition module and the priority lane image acquisition module;
the prior lane vehicle checking module is used for carrying out secondary recognition on the license plate in the image acquired by the prior lane image acquisition module and checking the license plate with the stored information in the data recording module;
the first information prompting module is arranged on the priority lane and used for prompting related information of vehicles which can enter the priority lane, related information of vehicles which enter the priority lane in an inserting queue and related information of vehicles which give way for vehicles in a normal lane;
the second information prompting module is arranged in the park and used for prompting relevant information of vehicles which do not belong to a working platform and a public parking area;
the first barrier gate control module is used for controlling the first barrier gate arranged on the priority lane according to the checking result of the vehicle checking module of the priority lane;
and the second barrier control module is used for controlling a second barrier arranged on the normal lane according to the vehicle attribute analysis result of the vehicle attribute analysis module.
2. The campus vehicle real time optimal scheduling system of claim 1 wherein: the license plate recognition module recognizes license plates in images acquired by the working platform image acquisition module and the public area image acquisition module, and packs and sends license plate recognition results together with the working platform number or the public parking area number to which the corresponding acquisition module belongs to the vacant vehicle analysis module;
the license plate recognition module recognizes the license plate in the collected image, and comprises the following steps:
s1, sequentially extracting image features through the plurality of convolution layers to obtain feature maps capable of expressing different layers;
s2, obtaining an interested area in the characteristic diagram through the full connection layer;
s3, acquiring a feature map extracted from the designated convolutional layer from the plurality of feature maps, and extracting an interested region for feature fusion;
and S4, passing the feature map after feature fusion through a classifier to obtain the recognition characters.
3. The campus vehicle real time optimal scheduling system of claim 2 wherein: the vacant vehicle analysis module analyzes the acquired image of the public area image acquisition module and judges that a vacant position exists on a working platform, and if the vehicle attribute analysis module analyzes the vehicle attribute of a first vehicle positioned on a normal lane as a freight vehicle, the controller controls a second barrier gate to be opened through a second barrier gate control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the freight vehicle enters the priority lane, and controls the first barrier gate to be opened through the first barrier gate control module.
4. The campus vehicle real time optimal scheduling system of claim 2 wherein: the vacant vehicle analysis module analyzes the acquired image of the working platform image acquisition module and judges that a vacant space exists in the public parking area, and if the vehicle attribute analysis module analyzes the vehicle attribute of a first vehicle positioned in a normal lane as a non-freight vehicle, the controller controls a second barrier gate to be opened through a second barrier gate control module;
otherwise, the controller prompts that the vehicle is in a normal lane through the first information prompting module according to the storage information in the data recording module, and the first vehicle of which the vehicle type belongs to the non-freight vehicle enters the priority lane, and controls the first barrier to be opened through the first barrier control module.
5. The campus vehicle real time optimal scheduling system of any one of claims 3 or 4 wherein: when the vehicle checking module of the priority lane judges that vehicles which are inserted into the priority lane exist in the priority lane, the controller prompts the relevant information of the vehicles which are inserted into the priority lane through the first information prompting module and prompts the vehicles to enter a normal lane.
6. The campus vehicle real-time optimized dispatch system of claim 5 wherein: when the vehicles for the queue to enter the priority lane enter the normal lane, if the normal lane is in a running state, the vehicles directly enter the normal lane; if the normal lane is in a congestion state, the vehicles in the normal lane enter the adjusting lane, and the vehicles in the priority lane enter the corresponding empty position of the normal lane.
7. The campus vehicle real-time optimized dispatch system of claim 6 wherein: the system also comprises a scheduling strategy making module used for inputting a scheduling strategy, wherein the scheduling strategy comprises the steps of setting the priority of the freight vehicles and the non-freight vehicles entering the park and the number of vehicles which can be accommodated in a working platform and a public parking area.
8. The campus vehicle real-time optimized dispatch system of claim 6 wherein: still including setting up in adjusting the lane and being used for detecting whether there is the regulation lane vehicle detection module of vehicle in adjusting the lane, work as when adjusting lane vehicle detection module and detecting and adjusting and have the vehicle in the lane, the controller control first information prompt module suggestion normal lane in for adjusting the lane vehicle relevant information of vehicle abdicating.
9. The campus vehicle real time optimal scheduling system of claim 3 or 4 wherein: and the controller controls the second information prompt module to prompt the related information of the vehicle entering the park at present, and the number of the vehicle driving to the working platform or the number of the public parking area.
10. The campus vehicle real time optimal scheduling system of claim 2 wherein: the license plate recognition module packs and sends a license plate recognition result together with a working platform number or a public parking area number to which the corresponding acquisition module belongs to a vacant vehicle analysis module, and the vacant vehicle analysis module retrieves corresponding related information from the data storage module and judges whether the vehicle attribute is consistent with a parked area;
and if the vehicle attribute is not matched with the parking area, the controller prompts related information of the vehicle which does not belong to the working platform and the public parking area through a second information prompting module.
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