CN114912838A - Garden logistics vehicle scheduling method and device, electronic equipment and storage medium - Google Patents
Garden logistics vehicle scheduling method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for dispatching a park logistics vehicle, electronic equipment and a storage medium. The method comprises the following steps: determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route by responding to a transportation instruction of a target stop point in the driving route; controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point; and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point. By adopting the technical scheme of the embodiment of the invention, the optimal path of the stop point to which the designated automatic driving type park logistics vehicle loaded with designated goods is to go is planned according to the real-time running states of all the automatic driving type park logistics vehicles, and related personnel are automatically informed to load and unload the goods after the stop point is reached, so that the timely and effective unmanned transportation is ensured.
Description
Technical Field
The embodiment of the invention relates to the technical field of logistics, in particular to a method and a device for scheduling a park logistics vehicle, electronic equipment and a storage medium.
Background
Can involve the transportation of article in the garden, to the transportation of article in the garden at present mainly by manual drive vehicle wait to dispatch in dispatch department, when having the transportation demand in the garden, arrange the vehicle through contacting dispatch department personnel and carry out the transportation of article.
At present, most vehicles are driven by people, the dispatching work of a park is basically realized by means of interphone communication of dispatching personnel and the like, a large amount of manpower and material resources are consumed in the dispatching mode, efficiency is low, and errors are easy to occur.
Therefore, how to improve the scheduling efficiency in the campus is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The embodiment of the invention provides a method and a device for dispatching park logistics vehicles, electronic equipment and a storage medium.
In a first aspect, an embodiment of the present invention provides a method for scheduling a park logistics vehicle, including:
responding to a transportation instruction of a target stop point in a driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route;
controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point;
and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point.
In a second aspect, an embodiment of the present invention further provides a scheduling apparatus for a park logistics vehicle, including:
the target logistics vehicle determination module is used for responding to a transportation instruction of a target stop point in a driving route and determining a target logistics vehicle from at least two candidate logistics vehicles in the driving route;
the article transportation module is used for controlling the target logistics vehicle to travel to a target stop point and controlling the target logistics vehicle to carry transported articles to travel to the next stop point;
and the target logistics vehicle returning module is used for controlling the target logistics vehicle to continuously run along the running route towards the initial stopping point.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for scheduling a logistic car on a campus according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for scheduling a logistics vehicle in a park according to any embodiment of the present invention is implemented.
The embodiment of the invention provides a park logistics vehicle scheduling method, a park logistics vehicle scheduling device, electronic equipment and a storage medium, wherein a target logistics vehicle is determined from at least two candidate logistics vehicles of a driving route by responding to a transportation instruction of a target stop point in the driving route; controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point; and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point. By adopting the technical scheme of the embodiment of the invention, the optimal path of the stop point to which the appointed automatic driving type park logistics vehicle loaded with the appointed goods is going is planned according to the real-time running state of all the automatic driving type park logistics vehicles, and related personnel are automatically informed to load and unload the goods after the stop point is reached, so that the timely and effective unmanned transportation is ensured.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of a method for scheduling a logistics vehicle in a park according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for scheduling a park logistics vehicle according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for scheduling a park logistics vehicle according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a dispatching device for logistics vehicles in a park, according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations (or steps) can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
At present, most vehicles are driven by people, the dispatching work of a park is basically realized by means of interphone communication of dispatching personnel and the like, a large amount of manpower and material resources are consumed in the dispatching mode, efficiency is low, and errors are easy to occur.
In the method, a front base station of a driving route is confirmed, and a scheduling change notice is sent to an edge server corresponding to the front base station; the edge server corresponding to the front base station receives the scheduling change notification and returns a feedback message to the edge server corresponding to the current base station; the edge server corresponding to the current base station drives information in real time according to the driving state information and the driving behavior information and sends the driving information to the edge server corresponding to the front base station; the edge server corresponding to the front base station receives the driving information and sends a connection broadcast to the outside through the front base station; and the edge server corresponding to the front base station responds to the connection success message of the mobile carrier, establishes communication connection with the mobile carrier and realizes the scheduling of the mobile carrier. The automatic driving scheduling method reduces the data transmission hop number, reduces the time delay and improves the message response speed. The method mainly describes the dispatching of the single vehicles among different driving areas, and the system dispatching is not considered in the aspect of standing on the whole garden.
In the other method, a scheduling method on the operation of the automatic driving special vehicle is adopted; the dispatching method for the driving behaviors of the automatic driving special vehicle enriches the sensing means and the sensing capability of the automatic driving vehicle by combining multi-sensors such as a vehicle-side camera, a laser radar, a millimeter wave radar and an ultrasonic radar and the like and road-side intelligent networking equipment, provides more optimal decision dispatching and realizes the dynamic dispatching of the automatic driving vehicle based on analysis and decision of the road side and the vehicle side. However, the method needs foundation construction, road side and vehicle side matching, and is high in software and hardware cost and high in deployment time cost.
In another method, the transportation efficiency is improved, the extra fuel cost caused by improper acceleration and deceleration is reduced, and finally the transportation profit is maximized by comprehensively scheduling all vehicles, particularly the traffic rules and the driving speed at the intersection. The method mainly explains the comprehensive dispatching of multiple vehicles at the intersection, but does not realize intelligent dispatching at the angle forming the whole road section.
Based on the defects of the method, the embodiment of the invention provides a method for dispatching the logistics vehicles in the park, which is used for coordinating all the logistics vehicles and stop points in the park comprehensively and improves the overall dispatching efficiency.
Example one
Fig. 1 is a flowchart of a method for scheduling a logistics car in a park according to an embodiment of the present invention, where the method is applicable to a situation of performing intelligent scheduling on a logistics car in a park, and the method of the embodiment may be executed by a logistics car scheduling apparatus in the park, and the apparatus may be implemented in a hardware and/or software manner. The device can be configured in a server for dispatching the park logistics vehicles. The method specifically comprises the following steps:
and S110, responding to a transportation instruction of a target stop point in the driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route.
The driving route can refer to a route formed by the possible stops of the logistics vehicles in the garden, and the driving route comprises the stop points. The logistics vehicle enters a road on which vehicles run in a park, a vehicle collection running route is made, repeated road walking is avoided as much as possible, and the running route of the vehicles is a closed-loop route; after the line collection is completed, the logistics vehicle can automatically store the collection result, store the generated map result at the vehicle end and upload the driving route to the intelligent scheduling platform. The direction of the driving route is fixed, all logistics vehicles share the driving route and transport articles according to the direction of the driving route.
The parking point can be a position point where the logistics vehicle needs to park in the park; for example, all entrances and exits in the campus and all residential buildings in the campus. In the embodiment of the invention, all the possible stop positions are used as stop points in the garden. The target stop point can be a stop point at which the logistics vehicle needs to go to transport the articles; for example, when a user needs to transport an article, an article transportation instruction is sent out, a stop point where the user is located is determined according to instruction information, and the stop point where the user is located is a target stop point. The method comprises the steps that a vehicle is moved to a position where a stop point needs to be collected, an intelligent scheduling platform enters a data management module, defaults to a current stop point collecting page and stores the current stop point collecting page, the type of the actually collected stop point is selected, the vehicle is generally a common stop point, and the name of the stop point is input. After the intelligent scheduling platform finishes, the left list of the intelligent scheduling platform has the name of a stop point; the logistics vehicle can automatically store the acquisition result, the generated map result is stored at the vehicle end, and the acquisition result of the stop point is uploaded to the intelligent scheduling platform.
The logistics vehicles may refer to vehicles for transporting goods in a park, which are unmanned vehicles, and stop at initial stop points in a preset order and receive goods transportation instructions in the preset order. The logistics car adopts an intelligent dispatching platform to remotely control the logistics car to enter a park for transporting articles, and is provided with a real-time state positioning system. The target logistics vehicle can be a vehicle which arrives at a target stop point and transports goods, the intelligent dispatching platform obtains the position of the logistics vehicle through a real-time state positioning system, and if the logistics vehicle is located at an initial stop point and does not receive a goods transporting instruction, the logistics vehicle is used as the target logistics vehicle to transport goods; or the first logistics vehicle receives the article transportation instruction, and the direction from the current target stop point to the target stop point of the first logistics vehicle is consistent with the direction of the driving route, so that the first logistics vehicle can be used as the target logistics vehicle to transport articles to the target stop point.
And S120, controlling the target logistics vehicle to travel to a target stop point, and controlling the target logistics vehicle to carry the transported articles to travel to the next stop point.
The next stop point may refer to a stop point to which the target logistics vehicle transports the item, and the next stop point may be any stop point on the driving route. For example, the target logistics vehicle receives the transport item at the A stop point and carries the transport item to travel to the B stop point; wherein the B stop point is the next stop point.
The intelligent dispatching platform receives an article transportation instruction, controls the object logistics vehicle to move to a target stop point, monitors whether the object logistics vehicle reaches the target stop point, and informs a user that the object logistics vehicle reaches the target stop point when the object logistics vehicle reaches the target stop point, and the user opens a cabin door of the object logistics vehicle through a button configured on the object logistics vehicle and stores articles into the object logistics vehicle; and the intelligent dispatching platform monitors whether the cabin door of the target logistics vehicle is closed or not, and controls the target logistics vehicle to carry the transported articles to travel to the next stopping point if the cabin door is closed. Wherein, if the user needs to open the hatch door for a long time, the hatch door can be controlled to open for a long time through the button configured on the object logistics vehicle. And the intelligent dispatching platform monitors that the closing time of the cabin door of the target logistics car exceeds a preset time threshold value, and then determines that the cabin door of the target logistics car is closed.
And S130, controlling the target logistics vehicle to continuously run along the running route towards the direction of the initial stopping point.
The origin stop point may refer to a location where the logistics car stops in the park when idle, and the origin stop point may be a park entrance location. The initial stop point is provided with a charging area, the intelligent dispatching platform remotely monitors whether the electric quantity of the logistics vehicle is sufficient, and if the electric quantity is insufficient, the logistics vehicle enters the charging area to be charged; and if the electric quantity is sufficient, queuing according to a preset sequence to wait for loading and unloading the articles according to the article transportation instruction.
If the next stopping point of the target logistics vehicle is the initial stopping point, controlling the target logistics vehicle to continuously run along the running route in the direction of the initial stopping point; and if the next stopping point of the target logistics vehicle is other stopping points except the initial stopping point on the driving route, controlling the target logistics vehicle to continue driving along the driving route to the initial stopping point after the target logistics vehicle transports the articles to the next stopping point.
According to the technical scheme, the logistics vehicle driving state information and the position information are acquired, stored, used, processed and the like, and all meet relevant regulations of national laws and regulations.
The embodiment of the invention provides a park logistics vehicle scheduling method, which comprises the steps of responding to a transportation instruction of a target stop point in a driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles in the driving route; controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point; and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point. By adopting the technical scheme of the embodiment of the invention, the intelligent dispatching platform receives the goods transportation instruction and determines the target logistics vehicle according to the state and the position information of the logistics vehicle; and planning a highest-efficiency path of a stop point to which a target logistics vehicle loaded with the specified goods is to go according to the real-time running states of all the logistics vehicles, automatically calling a goods receiver to load and unload the goods after the target stop point is reached, and unloading and loading the goods from the next stop point after the goods receiver receives the goods. In the embodiment of the invention, the intelligent scheduling platform is used for carrying out overall coordination on all logistics vehicles in the park, so that the scheduling efficiency is improved, the stop points are arranged at the required positions, and the logistics vehicles are automatically scheduled quickly and accurately by combining the duty vehicle mode and the instant mode.
Example two
Fig. 2 is a flowchart of a method for scheduling a park logistics vehicle according to a second embodiment of the present invention. Embodiments of the present invention are further optimized on the basis of the above-mentioned embodiments, and the embodiments of the present invention may be combined with various alternatives in one or more of the above-mentioned embodiments. As shown in fig. 2, the method for scheduling a logistics car in a park provided in an embodiment of the present invention may include the following steps:
s210, obtaining the running state information and the current stop point position information of the at least two candidate logistics vehicles.
The driving state information and the current stop point position information may refer to whether the at least two candidate logistics vehicles are transporting goods, and determine the stop point positions where the at least two candidate logistics vehicles are currently located. For example, candidate logistics vehicle a of the at least two candidate logistics vehicles is transporting items and is at the B1 stop.
S220, determining a first candidate logistics vehicle according to the running state information of the at least two candidate logistics vehicles.
Wherein the driving state information includes an idle state and a non-idle state; the first candidate logistics vehicle is in an idle state and is located at an initial stopping point. And determining a first candidate logistics vehicle which is in an idle state and arranged according to a preset sequence as a first candidate logistics vehicle according to the running state information of the at least two candidate logistics vehicles. For example, the candidate logistics vehicle B of the at least two candidate logistics vehicles is in an idle state and is the first candidate logistics vehicle of the initial stop point, that is, the candidate logistics vehicle B is determined as the first candidate logistics vehicle.
And S230, determining a second candidate logistics vehicle according to the position information of the target stop point in the driving route and the position information of the current stop points of the at least two candidate logistics vehicles.
And determining a second candidate logistics vehicle if the driving direction of the position information from the current stop point position to the target stop point of the at least two candidate logistics vehicles is consistent with the driving direction of the driving route. For example, the candidate logistics vehicle a of the at least two candidate logistics vehicles is transporting goods and is at the B2 stop point, and the direction from the B1 stop point to the B2 stop point is consistent with the driving route direction, i.e. the candidate logistics vehicle a is taken as the second candidate logistics vehicle.
S240, determining the target logistics vehicle according to the current stop point position information of the first candidate logistics vehicle, the current stop point position information of the second candidate logistics vehicle and the target stop point position information.
In an alternative aspect of the embodiment of the present invention, the determining the target logistics vehicle according to the current stop point position information of the first candidate logistics vehicle, the current stop point position information of the second candidate logistics vehicle, and the target stop point position information includes:
determining a first running distance according to the current stop point position information and the target stop point position information of the first candidate logistics vehicle;
determining a second driving distance according to the current stop point position information and the target stop point position information of the second candidate logistics vehicle;
and determining the target logistics vehicle according to the first travel distance and the second travel distance.
Optionally, the determining the target logistics vehicle according to the first travel distance and the second travel distance includes:
if the first running distance is smaller than the second running distance, determining that the first candidate logistics vehicle is the target logistics vehicle;
if the first driving distance is greater than the second driving distance, determining that the second candidate logistics vehicle is the target logistics vehicle;
and if at least two first candidate logistics vehicles or second candidate logistics vehicles exist, determining the target logistics vehicle according to the preset transportation article sequence.
The method comprises the steps of determining current parking positions of a first candidate logistics vehicle and a second candidate logistics vehicle and distances between the first candidate logistics vehicle and a target parking point, and taking the candidate logistics vehicle with the current parking position close to the target parking point as the target logistics vehicle. For example, the distance between the initial stop point of the first candidate logistics vehicle B and the target stop point is L1, the distance between the stop point B2 of the second candidate logistics vehicle a and the target stop point is L2, and if L1< L2, the first candidate logistics vehicle is taken as the target logistics vehicle; and if the L1 is larger than the L2, the second candidate logistics car is taken as the target logistics car.
Wherein the driving directions of the at least two candidate logistics vehicle driving routes are consistent and are kept unchanged.
And S250, controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry the transported goods to run to a next stop point.
Optionally, the controlling the target logistics vehicle to travel to a target stop point, and controlling the target logistics vehicle to carry the transported article to travel to a next stop point includes:
controlling the target logistics vehicle to travel to a target stop point, and sending information that the target logistics vehicle reaches the target stop point to a user;
if the user receives the notification information within the preset time, controlling the target logistics vehicle to carry the transported object to travel to the next stop point;
and if the user does not receive the notification information within the preset time, controlling the logistics vehicle to move to the next stop point.
The intelligent dispatching platform plans an optimal path for a target logistics vehicle carrying specified goods to go to a target stop point by acquiring real-time running states of at least two candidate logistics vehicles in the park, and sends the path information to the target logistics vehicle; and the at least two candidate logistics vehicles are both provided with a real-time dynamic positioning system. After the target logistics vehicle receives the path information, an intelligent algorithm in the controller converts the path information into a control signal of the vehicle, so that the vehicle starts to automatically go to a target stop point, and the intelligent dispatching platform monitors the position information of the vehicle in real time. When the intelligent dispatching platform monitors that the target logistics vehicle reaches the target stop point, the intelligent dispatching platform calls to inform the receiver of loading and unloading goods. After receiving the call, the receiver walks to the target stop point to load and unload goods, after the loading and unloading are finished, the completion of the loading and unloading of goods is determined through a button configured on the target logistics car, a cabin door of the target logistics car is closed, and after the intelligent dispatching platform receives the loading and unloading finishing information, the target logistics car is informed to drive away from the target stop point; if the receiver does not answer the call, the target logistics vehicle drives away from the target stop point after waiting for the preset time in situ, and the target logistics vehicle continues to drive to the next stop point for loading and unloading goods; wherein the preset time may be 5 minutes.
And S260, controlling the target logistics vehicle to continuously run along the running route towards the direction of the initial stopping point.
Optionally, the controlling the target logistics vehicle to continue to travel along the travel route towards the initial stopping point includes:
and judging whether the electric quantity of the target logistics vehicle is sufficient or not, and controlling the target logistics vehicle to run along a running route to the direction of the initial stopping point.
When the target logistics vehicle runs to the initial stop point, the intelligent dispatching platform can remotely monitor whether the electric quantity of the target logistics vehicle is sufficient; if not, entering a charging area for charging; and if the electric quantity is sufficient, entering the next cycle for loading and unloading.
The embodiment of the invention provides a method for dispatching park logistics vehicles, which comprises the steps of determining a first candidate logistics vehicle and a second candidate logistics vehicle according to current stop point information and running state information of at least two candidate logistics vehicles; and according to the current stopping positions of the first candidate logistics vehicle and the second candidate logistics vehicle and the distance between the first candidate logistics vehicle and the target stopping point, taking the candidate logistics vehicle with the current stopping position close to the target stopping point as the target logistics vehicle. And the intelligent dispatching platform controls the target logistics vehicle to drive to a target stop point to inform a user of loading and unloading articles, controls the target logistics vehicle to carry transported articles to drive to a next stop point, and controls the target logistics vehicle to continue to drive along a driving route to the direction of the initial stop point. By adopting the technical scheme of the embodiment of the invention, the target logistics vehicle is determined according to the current parking positions of the first candidate logistics vehicle and the second candidate logistics vehicle and the distance between the first candidate logistics vehicle and the target parking point; the intelligent dispatching platform controls the target logistics vehicles to move to the target stop points in front of the vehicles, and automatically informs related personnel to load and unload goods after reaching the target stop points, so that the timely and effective unmanned transportation is guaranteed.
EXAMPLE III
Fig. 3 is a schematic flow chart of a method for scheduling a logistics car in a park according to a third embodiment of the present invention. Embodiments of the present invention are further optimized on the basis of the above-mentioned embodiments, and the embodiments of the present invention may be combined with various alternatives in one or more of the above-mentioned embodiments. The logistics park usually comprises a plurality of scattered buildings, and due to the fact that the logistics park is long in distance and goods are frequently transferred, the logistics park can be rapidly deployed in the park by rapidly and automatically collecting maps and stopping points through the intelligent scheduling platform. As shown in fig. 3, the method for scheduling logistics vehicles in a park provided in the embodiment of the present invention may include the following steps:
a1: remotely controlling the logistics vehicle to enter a road on which vehicles run in a park, making a vehicle acquisition running route, avoiding repeated road walking as much as possible, and closing the running route of the vehicles;
a2: after the collection is finished, the logistics vehicle automatically stores the collection result, stores the generated map result in the vehicle end, and uploads the map result to the intelligent scheduling platform;
a3: the method comprises the steps of moving a vehicle to a position where a stop point needs to be collected, entering a data management module, defaulting to a current stop point collecting page and storing, selecting a common stop point according to the type of the actually collected stop point, and inputting the name of the stop point. After the completion, the intelligent scheduling platform stops and collects the left list of the page and will appear the name of the stop;
a4: clicking 'acquisition completion' and determining, automatically storing an acquisition result by the logistics vehicle, storing a generated stop point result at a vehicle end, and uploading the stop point result to an intelligent scheduling platform;
a5: after the vehicle-side completes the map building of the service area environment, a vector map needs to be drawn on the 2D map, and the vector map is pushed to each logistics vehicle through the cloud after the drawing is completed;
a6: the operation background manages all configuration work related to platform operation. The main functional modules include: global profile, resource management, system management; the global operation profile is dynamically counted in the global profile, including but not limited to stop point information, the type, quantity and relative change of delivered goods and materials, the quantity of the logistics vehicles and the transportation mileage; setting up service area management, physical distribution vehicle creation, physical distribution vehicle management and the like in a resource management module; the system management module is configured with a function menu of a background, and different function modules are allocated with access rights of different users, so that convenience is brought to operation rights, content management and data security;
a7: a user at a stop point places an order through a mobile phone APP to call a logistics vehicle;
a8: after the platform configuration is completed, the intelligent dispatching platform judges whether idle vehicles exist or not, and if no idle vehicle exists, the intelligent dispatching platform informs a user that no idle logistics vehicle exists at a stop point and please wait;
a9: if the idle vehicles exist, controlling the logistics vehicles to run to a target stop point;
a10: after the logistics vehicle arrives at the stop point, the contact person is informed through a telephone that the logistics vehicle arrives and the user asks for loading and unloading goods in time; if the user does not receive the notification, continuously calling the user for 3 times; continuously calling for 3 minutes without connection, continuously waiting for 5 minutes, and if the user still does not receive the notification, driving the target logistics car into the next stop point;
a11: the user receives the notice, arrives at the stop point to load and unload the goods, closes the cargo hold door after the completion, and the unmanned vehicle continues to run along the specified path;
a12: the target logistics vehicle reaches a parking point of the target logistics vehicle, and whether the electric quantity of the target logistics vehicle is sufficient or not is judged; if the target logistics vehicle is sufficient in electric quantity, continuing waiting for the intelligent dispatching platform to send an article transportation instruction; and if the electric quantity of the target logistics vehicle is insufficient, entering a charging area for charging, and after charging is finished, driving away from the charging area to continue waiting for the intelligent scheduling platform to send an article transportation instruction.
The intelligent scheduling platform provided by the embodiment of the invention has the advantages that all logistics vehicles and stop points in the garden are coordinated comprehensively, and the overall scheduling efficiency is improved. The dispatching platform has the advantages that all logistics vehicles in the garden are reasonably dispatched, the running states and the real-time paths of all logistics vehicles in the garden are monitored in real time, and the mobile phone is in timely butt joint with a receiver, so that the unmanned transportation is guaranteed to be timely and effective. Due to the fact that the rapid self-picking maps and the stopping points can be conducted, compared with manual dispatching and other intelligent dispatching platforms, the method for dispatching the logistics vehicles in the park is low in implementation difficulty and short in implementation time.
Example four
Fig. 4 is a schematic structural diagram of a scheduling apparatus for a park logistics vehicle according to a fourth embodiment of the present invention, where the apparatus includes: a target logistics car determination module 410, an item transportation module 420, and a target logistics car return module 430. Wherein:
the target logistics vehicle determination module 410 is used for responding to a transportation instruction of a target stop point in a driving route and determining a target logistics vehicle from at least two candidate logistics vehicles in the driving route;
the article transportation module 420 is configured to control the target logistics vehicle to travel to a target stop point, and control the target logistics vehicle to carry a transported article to travel to a next stop point;
and the target logistics vehicle returning module 430 is used for controlling the target logistics vehicle to continue to run along the running route towards the initial stopping point.
On the basis of the foregoing embodiment, optionally, the target logistics vehicle determination module includes:
acquiring the running state information and the current stop point position information of the at least two candidate logistics vehicles;
determining a first candidate logistics vehicle according to the running state information of the at least two candidate logistics vehicles; wherein the driving state information includes an idle state and a non-idle state; the first candidate logistics vehicle is in an idle state and is positioned at a starting stop point;
determining a second candidate logistics vehicle according to the position information of the target stop point in the driving route and the position information of the current stop points of at least two candidate logistics vehicles;
determining a target logistics vehicle according to the current stop point position information of the first candidate logistics vehicle, the current stop point position information of the second candidate logistics vehicle and the target stop point position information;
wherein the driving directions of the at least two candidate logistics vehicle driving routes are consistent and are kept unchanged.
On the basis of the foregoing embodiment, optionally, the target logistics vehicle determination module further includes:
and if the driving direction of the position information from the current stop point position to the target stop point of the at least two candidate logistics vehicles is consistent with the driving direction of the driving route, determining a second candidate logistics vehicle.
On the basis of the foregoing embodiment, optionally, the target logistics vehicle determination module further includes:
determining a first running distance according to the current stop point position information and the target stop point position information of the first candidate logistics vehicle;
determining a second driving distance according to the current stop point position information and the target stop point position information of the second candidate logistics vehicle;
and determining the target logistics vehicle according to the first travel distance and the second travel distance.
On the basis of the foregoing embodiment, optionally, the target logistics vehicle determination module further includes:
if the first running distance is smaller than the second running distance, determining that the first candidate logistics vehicle is the target logistics vehicle;
if the first driving distance is greater than the second driving distance, determining that the second candidate logistics vehicle is the target logistics vehicle;
and if at least two first candidate logistics vehicles or second candidate logistics vehicles exist, determining the target logistics vehicle according to the preset transportation article sequence.
On the basis of the above embodiment, optionally, the article transportation module includes:
controlling the target logistics vehicle to travel to a target stop point, and sending information that the target logistics vehicle reaches the target stop point to a user;
if the user receives the notification information within the preset time, controlling the target logistics vehicle to carry the transported object to travel to the next stop point;
and if the user does not receive the notification information within the preset time, controlling the logistics vehicle to move to the next stop point.
On the basis of the foregoing embodiment, optionally, the target logistics vehicle return module includes:
and judging whether the electric quantity of the target logistics vehicle is sufficient or not, and controlling the target logistics vehicle to run along the running route to the direction of the initial stopping point.
The campus logistics vehicle scheduling device provided by the embodiment of the invention can execute the method for scheduling the campus logistics vehicles provided by any embodiment of the invention, has the corresponding functions and beneficial effects of executing the method for scheduling the campus logistics vehicles, and the detailed process refers to the relevant operations of the method for scheduling the campus logistics vehicles in the embodiment.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application. The embodiment of the application provides electronic equipment, and the interactive device for dispatching the logistics vehicles in the park provided by the embodiment of the application can be integrated in the electronic equipment. As shown in fig. 5, the present embodiment provides an electronic device 500, which includes: one or more processors 520; the storage device 510 is configured to store one or more programs, and when the one or more programs are executed by the one or more processors 520, the one or more processors 520 implement the method for scheduling logistics vehicles in a campus provided by the embodiment of the present application, the method includes:
responding to a transportation instruction of a target stop point in a driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route;
controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point;
and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point.
Of course, those skilled in the art can understand that the processor 520 also implements the technical solution of the method for scheduling logistics vehicles in a park provided in any embodiment of the present application.
The electronic device 500 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the electronic device 500 includes a processor 520, a storage 510, an input 530, and an output 540; the number of the processors 520 in the electronic device may be one or more, and one processor 520 is taken as an example in fig. 5; the processor 520, the storage 510, the input device 530, and the output device 540 in the electronic apparatus may be connected by a bus or other means, and are exemplified by a bus 550 in fig. 5.
The storage device 510 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the method for scheduling a logistics vehicle in a park in an embodiment of the present application.
The storage device 510 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 510 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 510 may further include memory located remotely from processor 520, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic apparatus. The output device 540 may include a display screen, speakers, etc. of electronic equipment.
The electronic equipment provided by the embodiment of the application can effectively solve the problem of scheduling of the logistics vehicles in the park and can guarantee timely and effective technical effects of unmanned transportation to a greater extent.
EXAMPLE six
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a method for scheduling a park logistics vehicle, and the method includes:
responding to a transportation instruction of a target stop point in a driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route;
controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point;
and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. A computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take a variety of forms, including, but not limited to: an electromagnetic signal, an optical signal, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for dispatching park logistics vehicles is characterized by comprising the following steps:
responding to a transportation instruction of a target stop point in a driving route, and determining a target logistics vehicle from at least two candidate logistics vehicles of the driving route;
controlling the target logistics vehicle to run to a target stop point, and controlling the target logistics vehicle to carry transported articles to run to a next stop point;
and controlling the target logistics vehicles to continuously run along the running route towards the initial stopping point.
2. The method of claim 1, wherein the determining a target logistics vehicle from the at least two candidate logistics vehicles of the travel route in response to a transportation instruction for a target stop in the travel route comprises:
acquiring the running state information and the current stop point position information of the at least two candidate logistics vehicles;
determining a first candidate logistics vehicle according to the running state information of the at least two candidate logistics vehicles; wherein the driving state information includes an idle state and a non-idle state; the first candidate logistics vehicle is in an idle state and is positioned at a starting stop point;
determining a second candidate logistics vehicle according to the position information of the target stop point in the driving route and the position information of the current stop points of at least two candidate logistics vehicles;
determining a target logistics vehicle according to the current stop point position information of the first candidate logistics vehicle, the current stop point position information of the second candidate logistics vehicle and the target stop point position information;
wherein the driving directions of the at least two candidate logistics vehicle driving routes are consistent and are kept unchanged.
3. The method of claim 2, wherein the determining the second candidate logistics vehicles according to the position information of the target stop point in the driving route and the current stop point position information of at least two candidate logistics vehicles comprises:
and if the driving direction of the position information from the current stop point position to the target stop point of the at least two candidate logistics vehicles is consistent with the driving direction of the driving route, determining a second candidate logistics vehicle.
4. The method of claim 2, wherein determining the target logistics vehicle according to the current stop position information of the first candidate logistics vehicle, the current stop position information of the second candidate logistics vehicle, and the target stop position information comprises:
determining a first running distance according to the current stop point position information and the target stop point position information of the first candidate logistics vehicle;
determining a second driving distance according to the current stop point position information and the target stop point position information of the second candidate logistics vehicle;
and determining the target logistics vehicle according to the first travel distance and the second travel distance.
5. The method of claim 4, wherein determining the target logistics vehicle based on the first distance traveled and the second distance traveled comprises:
if the first running distance is smaller than the second running distance, determining that the first candidate logistics vehicle is the target logistics vehicle;
if the first driving distance is greater than the second driving distance, determining that the second candidate logistics vehicle is the target logistics vehicle;
and if at least two first candidate logistics vehicles or second candidate logistics vehicles exist, determining the target logistics vehicle according to the preset transportation article sequence.
6. The method of claim 1, wherein controlling the target logistics vehicle to travel to a target stop and controlling the target logistics vehicle to carry the shipped item to travel to a next stop comprises:
controlling the target logistics vehicle to travel to a target stop point, and sending information that the target logistics vehicle reaches the target stop point to a user;
if the user receives the notification information within the preset time, controlling the target logistics vehicle to carry the transported object to travel to the next stop point;
and if the user does not receive the notification information within the preset time, controlling the logistics vehicle to move to the next stop point.
7. The method of claim 1, wherein controlling the target logistics vehicle to continue traveling along a travel route in a direction toward an initial stopping point comprises:
and judging whether the electric quantity of the target logistics vehicle is sufficient or not, and controlling the target logistics vehicle to run along the running route to the direction of the initial stopping point.
8. The utility model provides a garden commodity circulation car scheduling device which characterized in that, the device includes:
the target logistics vehicle determination module is used for responding to a transportation instruction of a target stop point in a driving route and determining a target logistics vehicle from at least two candidate logistics vehicles in the driving route;
the article transportation module is used for controlling the target logistics vehicle to run to a target stop point and controlling the target logistics vehicle to carry transported articles to run to a next stop point;
and the target logistics vehicle returning module is used for controlling the target logistics vehicle to continuously run along the running route towards the initial stopping point.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the campus logistics vehicular dispatch method of any one of claims 1-7.
10. A storage medium containing computer executable instructions for performing the method of scheduling logistic vehicles on a campus as claimed in any one of claims 1 to 7 when executed by a computer processor.
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| CN202210664709.6A CN114912838A (en) | 2022-06-13 | 2022-06-13 | Garden logistics vehicle scheduling method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115511228A (en) * | 2022-11-17 | 2022-12-23 | 北京慧拓无限科技有限公司 | Intelligent dispatching system and method for unmanned logistics vehicle passing in park |
| CN117557181A (en) * | 2024-01-10 | 2024-02-13 | 厦门金龙联合汽车工业有限公司 | Unmanned material distribution system and method for factory |
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2022
- 2022-06-13 CN CN202210664709.6A patent/CN114912838A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115511228A (en) * | 2022-11-17 | 2022-12-23 | 北京慧拓无限科技有限公司 | Intelligent dispatching system and method for unmanned logistics vehicle passing in park |
| CN117557181A (en) * | 2024-01-10 | 2024-02-13 | 厦门金龙联合汽车工业有限公司 | Unmanned material distribution system and method for factory |
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