CN114066221A - Multi-platform logistics vehicle cooperation method, vehicle and computer readable storage medium - Google Patents
Multi-platform logistics vehicle cooperation method, vehicle and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a multi-platform logistics vehicle cooperation method, a vehicle and a computer readable storage medium, wherein the method comprises the steps of obtaining the number of enclosed vehicles in a preset enclosure range, judging whether the number of enclosed vehicles is larger than or equal to a preset threshold value, providing a reference basis for the number of enclosed vehicles through the setting of the preset threshold value, controlling peripheral logistics vehicles corresponding to the preset enclosure range to pause passing when the number of enclosed vehicles is larger than or equal to the preset threshold value, avoiding the phenomenon that logistics vehicles are jammed due to the fact that too many enclosed vehicles exist in the preset enclosure range, and recovering the passing of the peripheral logistics vehicles when the number of enclosed vehicles is smaller than the preset threshold value so as to control the logistics vehicles of multiple platforms to pass through a cross road section with the preset enclosure range, and further improving the logistics distribution efficiency of the logistics vehicles.
Description
Technical Field
The invention relates to the technical field of logistics transportation, in particular to a multi-platform logistics vehicle cooperation method, a vehicle and a computer readable storage medium.
Background
The rapid development of electronic commerce drives the rapid expansion of logistics industry, and along with the rising of labor cost and the development of scientific technology, unmanned logistics vehicles begin to be widely applied to logistics distribution processes. In some closed factories or other sites, logistics vehicles are orderly distributed by planning distribution routes and setting priorities for different routes. However, different types of logistics vehicles are generally adopted to perform distribution work due to different types and models of distributed goods, the logistics vehicles of different types belong to different management platforms, data interaction cannot be performed due to the fact that the platforms are not communicated, if the logistics vehicles of multiple platforms meet at a cross road section, the logistics vehicles cannot pass in order, logistics congestion is caused, and distribution efficiency is low.
Disclosure of Invention
The invention mainly aims to provide a multi-platform logistics vehicle cooperation method, a vehicle and a computer readable storage medium. The problem of how to promote logistics distribution efficiency of commodity circulation car is solved.
In order to achieve the above object, the present invention provides a multi-platform logistics vehicle cooperation method, which comprises the following steps:
acquiring the enclosure number of enclosed vehicles in a preset enclosure range, and judging whether the enclosure number is greater than or equal to a preset threshold value or not;
if yes, controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing;
and detecting whether the number of the enclosures is updated in real time, and if the number of the enclosures is updated and the updated number of the enclosures is smaller than a preset threshold value, recovering the passing of the peripheral logistics vehicles.
Optionally, before the step of obtaining the number of vehicles entering the fence in the preset fence range, the method further includes:
determining a fence longitude and latitude range corresponding to a preset fence range, and acquiring vehicle longitude and latitude corresponding to the logistics vehicle in real time;
and if the vehicle longitude and latitude are within the fence longitude and latitude range, determining that the enclosed vehicle exists in the preset fence range.
Optionally, the step of controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing includes:
acquiring transportation information corresponding to all the enclosed vehicles;
judging whether meeting risks exist among the vehicles entering the enclosure or not according to the transportation information;
and if the meeting risk exists, controlling the peripheral logistics vehicles corresponding to the preset fence range to temporarily stop passing.
Optionally, the step of determining whether there is a risk of meeting between the vehicles according to the transportation information includes:
determining direction information and/or route information in each piece of transportation information;
and judging whether the vehicles in the enclosure meet risks or not according to the information and/or the route information and the direction information.
Optionally, after the step of controlling the peripheral logistics vehicle corresponding to the preset fence range to pause passing, the method further includes:
acquiring vehicle platform information corresponding to each enclosed vehicle;
controlling the passing of the vehicles entering the enclosure according to the information of the vehicle platforms;
and updating the enclosure number corresponding to the preset enclosure range in a preset database in real time according to the number of the enclosed vehicles.
Optionally, the step of controlling the passing of each vehicle to enter the surrounding area according to the information of each vehicle platform includes:
judging whether the vehicle platforms are consistent or not according to the information of the vehicle platforms;
if the vehicle platforms are consistent, determining corresponding route priority according to the route information corresponding to the vehicles entering the enclosure;
and controlling the passing of the vehicles entering the enclosure according to the route priority.
Optionally, after the step of determining whether each of the vehicle platforms is consistent according to each of the vehicle platform information, the method further includes:
if the vehicle platforms are not consistent, acquiring the enclosure entering time corresponding to the enclosure entering vehicles;
sequencing the entry time according to the time sequence;
and controlling the passing of the vehicles entering the enclosure according to the sequencing result of the entering time.
Optionally, after the step of determining whether the number of entries is greater than or equal to a preset threshold, the method further includes:
if the number of the enclosures is larger than or equal to a preset threshold value, acquiring peripheral route information corresponding to the peripheral logistics vehicles;
planning an updating route corresponding to the peripheral logistics vehicle according to the peripheral route information;
and controlling the peripheral logistics vehicles to pass according to the updated route.
In addition, to achieve the above object, the present invention further provides a vehicle including a memory, a processor, and a multi-platform logistics vehicle cooperation program stored on the memory and operable on the processor, wherein: the multi-platform logistics vehicle cooperation program is executed by the processor to realize the steps of the multi-platform logistics vehicle cooperation method.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, where a multi-platform logistics vehicle cooperation program is stored on the computer readable storage medium, and when executed by a processor, the multi-platform logistics vehicle cooperation program implements the steps of the multi-platform logistics vehicle cooperation method as described above.
The invention provides a multi-platform logistics vehicle cooperation method, a vehicle and a computer readable storage medium, which are used for obtaining the number of enclosed vehicles in a preset enclosure range, judging whether the number of enclosed vehicles is larger than or equal to a preset threshold value, providing a reference basis for the number of enclosed vehicles through the setting of the preset threshold value, controlling peripheral logistics vehicles corresponding to the preset enclosure range to suspend passing when the number of enclosed vehicles is larger than or equal to the preset threshold value, avoiding the situation that the logistics vehicles are blocked due to the fact that too many enclosed vehicles exist in the preset enclosure range, and recovering the passing of the peripheral logistics vehicles when the number of enclosed vehicles is smaller than the preset threshold value, so that the logistics vehicles of multiple platforms pass in order when passing through a cross road section with the preset enclosure range, and further improving the logistics distribution efficiency of the logistics vehicles.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a multi-platform logistics vehicle coordination method according to the invention;
fig. 3 is a schematic application flow diagram according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a vehicle structural diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a vehicle. As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen based on the ambient light level and a proximity sensor that turns off the display screen and/or backlight when the hardware device is moved to the ear. Of course, the hardware device may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and so on, which are not described herein again.
Those skilled in the art will appreciate that the configuration of the terminal shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a multi-platform logistics vehicle cooperation program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the multi-platform logistics vehicle cooperation program stored in the memory 1005, and perform the following operations:
acquiring the enclosure number of enclosed vehicles in a preset enclosure range, and judging whether the enclosure number is greater than or equal to a preset threshold value or not;
if yes, controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing;
and detecting whether the number of the enclosures is updated in real time, and if the number of the enclosures is updated and the updated number of the enclosures is smaller than a preset threshold value, recovering the passing of the peripheral logistics vehicles.
The specific embodiment of the present invention applied to the vehicle is substantially the same as the following embodiments of the multi-platform logistics vehicle cooperation method, and is not described herein again.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a multi-platform logistics vehicle coordination method of the present invention, wherein the multi-platform logistics vehicle coordination method includes the following steps:
step S100, acquiring the number of vehicles entering the enclosure in a preset enclosure range, and judging whether the number of vehicles entering the enclosure is greater than or equal to a preset threshold value;
in this embodiment, it should be noted that the multi-platform logistics vehicle cooperation method is applicable to a scene where an unmanned logistics vehicle is used for transportation. The application scene of the embodiment can be applied to a comprehensive management platform of the vehicle through setting, and the logistics vehicle transportation process is controlled. The application scenario may include a plurality of logistics vehicles and a plurality of management platforms, the logistics vehicles do not need to correspond to the management platforms one to one, that is, one management platform may include a plurality of logistics vehicles. Meanwhile, the logistics vehicles are not fixed, and the number of the logistics vehicles can be changed. The management platforms are connected through comprehensive management so as to realize the unified management of the logistics vehicles corresponding to the management platforms. The application scene also comprises a plurality of transportation routes, the logistics vehicles carry out transportation work according to the transportation routes, and the transportation routes are distributed according to actual transportation demands, wherein intersections such as three-way intersections and crossroads can exist according to the transportation routes. Arranging electronic fences at intersections, wherein the electronic fences are fences which are limited by a certain range to realize the control of logistics vehicle passing, and the fences can be actual fences; or virtual, reference values for range division. The preset fence range refers to a logistics vehicle limiting range which is preset at the intersection and is used for limiting the passing of logistics vehicles which enter the intersection or are about to enter the intersection. The preset fence range can also be arranged on a bidirectional passing single line section and is used for limiting the passing of logistics vehicles passing through the single line section. The enclosed vehicle is a logistics vehicle which enters a preset fence range; the number of the vehicles entering the fence is the number of the logistics vehicles in a preset fence range; the preset threshold is preset, and a value for limiting the number of the logistics vehicles in the preset fence range is obtained based on the actual demand and the experimental data, for example, if the number of the logistics vehicles in the preset fence range exceeds the preset threshold, it represents that there is a risk of meeting between the logistics vehicles at the intersection, and congestion may be caused.
Specifically, the number of vehicles entering the enclosure in the preset enclosure range is obtained through the comprehensive management platform, the number of vehicles entering the enclosure is compared with a preset threshold value, and whether the number of vehicles entering the enclosure is larger than or equal to the preset threshold value is determined.
Step S200, if yes, controlling peripheral logistics vehicles corresponding to the preset fence range to pause passing;
in this embodiment, it should be noted that the peripheral logistics vehicles refer to vehicles outside the preset fence range, that is, vehicles that are about to enter the intersection corresponding to the preset fence range. The orderly passing of the logistics vehicles is controlled by setting certain passing conditions at the intersection. Specifically, when the number of vehicles entering the enclosure is greater than or equal to a preset threshold value, the peripheral logistics vehicles corresponding to the preset enclosure range are controlled to pause passing, and the vehicles entering the enclosure are controlled to pass through the intersection. And when the number of the enclosed vehicles is less than the preset threshold value, the logistics vehicles are not correspondingly controlled, and the peripheral logistics vehicles enter the intersection according to the original plan.
And step S300, detecting whether the number of the enclosures is updated in real time, and if the number of the enclosures is updated and the updated number of the enclosures is smaller than a preset threshold value, recovering the passing of the peripheral logistics vehicles.
When the number of the enclosed vehicles is larger than or equal to the preset threshold value, the enclosed vehicles are controlled to pass through the intersection, the number of the enclosed vehicles is reduced along with the passing of the enclosed vehicles through the intersection, whether the number of the enclosed vehicles is updated or not is detected in real time, if the number of the enclosed vehicles is updated, and the updated number of the enclosed vehicles is smaller than the preset threshold value, the passing limit of the peripheral logistics vehicles which are suspended to pass is cancelled, and the passing is recovered. In one embodiment, the restriction on the peripheral logistics vehicles may be that when the preset threshold is greater than zero, the condition for resuming the passage of the peripheral logistics vehicles is that when the number of entries is equal to zero, the passage of the peripheral logistics vehicles is resumed. Or two preset thresholds of a first threshold and a second threshold are set, wherein the first threshold is larger than the second threshold, when the number of entries is larger than the first threshold, the peripheral logistics vehicles are controlled to pause to pass, and when the number of entries is smaller than the second threshold, the peripheral logistics vehicles are controlled to resume passing. Other ways of controlling the passage of the vehicles through the periphery logistics by setting a threshold value to limit the number of entries are also possible.
In the embodiment of the invention, the number of the vehicles entering the enclosure in the preset enclosure range is obtained, whether the number of the vehicles entering the enclosure is greater than or equal to the preset threshold value is judged, a reference basis is provided for the number of the vehicles entering the enclosure through the preset threshold value, and then when the number of the vehicles entering the enclosure is greater than or equal to the preset threshold value, the peripheral logistics vehicles corresponding to the preset enclosure range are controlled to pause to pass, so that the condition that the logistics vehicles are jammed due to too many vehicles entering the enclosure in the preset enclosure range is avoided, and the passing of the peripheral logistics vehicles can be recovered when the number of the vehicles entering the enclosure is less than the preset threshold value, so that the logistics vehicles of a plurality of platforms pass through the intersection section with the preset enclosure range in order, and the logistics distribution efficiency of the logistics vehicles is improved.
Further, based on the first embodiment of the multi-platform logistics vehicle coordination method of the present invention, a second embodiment of the multi-platform logistics vehicle coordination method of the present invention is provided, where before the step of obtaining the number of vehicles entering the enclosure in the preset enclosure range and determining whether the number of vehicles entering the enclosure is greater than or equal to the preset threshold value in step S100, the method further includes:
step a, determining a fence longitude and latitude range corresponding to a preset fence range, and acquiring vehicle longitude and latitude corresponding to a logistics vehicle in real time;
and b, if the longitude and latitude of the vehicle are within the range of the longitude and latitude of the fence, determining that the vehicle entering the fence exists in the preset fence range.
In this embodiment, it should be noted that the fence longitude and latitude range refers to a longitude and latitude corresponding to a preset fence range, the preset fence range is a limit range extending from an intersection to each intersection corresponding to the intersection to a certain position, and the certain position is specifically set according to an empirical value or a requirement. Namely, the longitude and latitude corresponding to the preset fence range is also a range, namely the fence longitude and latitude range. The longitude and latitude of the vehicle refers to the longitude and latitude of the position where the logistics vehicle is located. Specifically, a fence longitude and latitude range corresponding to a preset fence range is determined, and vehicle longitude and latitude corresponding to the logistics vehicle are obtained in real time. Whether the vehicle is in the fence longitude and latitude range is determined by judging whether the vehicle longitude and latitude belongs to the fence longitude and latitude range, namely, if the vehicle longitude and latitude is in the fence longitude and latitude range, the vehicle is in the fence longitude and latitude range, and the vehicle is determined to be in the fence latitude and longitude range. When the vehicles entering the fence are monitored, the comprehensive management platform records the number of the vehicles entering the fence in a preset fence range at the current moment, and updates the number serving as the number of the vehicles entering the fence into a preset database in real time. The preset database is a database which is pre-set and used for recording logistics vehicle transportation data.
Whether logistics vehicles enter a preset fence range or not is judged through the longitude and latitude, the accuracy of vehicle passing control is improved, the number of the vehicles entering the fence is updated in real time, and the instantaneity and the effectiveness of the vehicle passing control are improved.
Further, the step of controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing comprises:
step c, acquiring transportation information corresponding to all the enclosed vehicles;
d, judging whether meeting risks exist among the vehicles entering the enclosure or not according to the transportation information;
and e, if the meeting risk exists, controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing.
In this embodiment, the transportation information refers to information related to the logistics vehicle during transportation, and includes direction information, route information, position information, cargo information, and other related information. The risk of meeting refers to the risk of line conflict between the logistics vehicles and other logistics vehicles which can occur in the process of passing. Specifically, when the number of the vehicles entering the fence is greater than or equal to the preset threshold, the logistics vehicles in the preset fence range can be considered to be more, and the risk of meeting needs to be judged. And acquiring transportation information corresponding to all vehicles entering the fence in the preset fence range, and determining whether meeting risks exist in the vehicles entering the fence according to the transportation information. In an embodiment, the manner of determining whether there is a risk of meeting when each vehicle enters the enclosure according to each transportation information may be determined according to whether the direction information in the transportation information is consistent, for example, when the vehicles entering the enclosure all run in the same direction, it may be considered that there is no risk of meeting; the determination may also be made according to whether the route information in the transportation information is consistent, for example, when the vehicles entering the vehicle all run on the same route and lead to the same destination, it may be considered that there is no risk of meeting. And when the meeting risk between the vehicles entering the fence is determined, controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing.
Referring to fig. 3, after the logistics vehicles in fig. 3 travel and enter the preset fence range, it is determined whether the number of enclosed objects is greater than or equal to a preset threshold, and if the number of enclosed objects is less than the preset threshold, the logistics vehicles are kept traveling. If the number of the enclosed objects is larger than or equal to a preset threshold value, judging whether meeting risks exist, and if the meeting risks do not exist, keeping the logistics vehicles running. If the meeting risk exists, the peripheral logistics vehicles are controlled to stop passing, and whether the number of the vehicles entering the periphery is larger than or equal to a preset threshold value is continuously judged. And if the logistics vehicles do not enter the preset fence range, keeping the logistics vehicles running.
Whether the risk of meeting exists is determined through the transportation information that the vehicle that encloses corresponds, promotes the actual road conditions judgement ability of intersection, and then whether confirm that the peripheral logistics vehicle that the control presets the rail scope and correspond suspends current, ensures that the logistics vehicle passes in order, promotes conveying efficiency.
Further, the step of determining whether there is a risk of meeting between the vehicles according to the transportation information includes:
step f, determining direction information and/or route information in the transportation information;
and g, judging whether meeting risks exist among the vehicles entering the enclosure or not according to the direction information and/or the route information.
In this embodiment, it should be noted that the direction information refers to a direction in which the logistics vehicle advances, and the route information refers to a reference route which is planned in advance and controls the logistics vehicle to travel, and includes all travel information from the transportation starting point to the transportation destination. After the transportation information is acquired, determining the direction information in the transportation information, and judging whether the direction information corresponding to each enclosed vehicle is consistent, namely whether each enclosed vehicle runs in the same direction, so as to judge whether the enclosed vehicles meet with each other. Or after the transportation information is acquired, determining the route information in the transportation information, and judging whether the route information corresponding to each vehicle entering the enclosure is consistent, namely whether each vehicle entering the enclosure runs to the same destination on the same route, so as to judge whether meeting risks exist between the vehicles entering the enclosure. Or determining direction information and route information in the transportation information, and judging whether the vehicles entering into the enclosure all travel to the same direction and whether the route information corresponding to the vehicles entering into the enclosure is consistent, thereby judging whether meeting risks exist among the vehicles entering into the enclosure. That is, if the direction information and/or the route information between the vehicles are inconsistent, the vehicles may meet each other.
The driving intention of the vehicles entering the enclosure is further determined through the direction information and the route information, so that whether the risk of meeting exists between the vehicles entering the enclosure is determined, and the accuracy of road condition diagnosis is improved.
Further, if yes, after the step of controlling the peripheral logistics vehicles corresponding to the preset fence range to pause passing, the method further includes:
step h, obtaining vehicle platform information corresponding to each enclosed vehicle;
step i, controlling the passing of the vehicles entering the enclosure according to the information of the vehicle platforms;
and j, updating the enclosure quantity corresponding to the preset enclosure range in a preset database in real time according to the quantity of the enclosure vehicles.
In this embodiment, it should be noted that the vehicle platform refers to a management platform of the logistics vehicle. Due to the fact that the types and the models of goods to be distributed are different, different types of logistics vehicles are generally adopted for distribution, and when the logistics vehicles of different types belong to different management platforms, the passing of the vehicles to be surrounded is controlled according to the vehicle platform information of the vehicles to be surrounded. Specifically, vehicle platform information corresponding to each vehicle entering the enclosure is obtained, the vehicle platform information is analyzed, and the passing sequence of the vehicles entering the enclosure is determined according to the vehicle platform information. Different priorities can be set according to different management platforms to determine the passing sequence of the vehicles entering the gate; the priority among the vehicles entering the enclosure corresponding to the same management platform can be set, and after the passing sequence of the vehicles entering the enclosure of the same platform is determined, the first-in first-out principle is adopted for different management platforms to determine the passing sequence of the vehicles entering the enclosure. After the passing sequence of the vehicles entering the fence is determined, the vehicles entering the fence are sequentially controlled to pass, the number of the vehicles entering the fence in the current preset fence range is obtained in real time according to the passing condition of the vehicles entering the fence, and the number is used as the number of the vehicles entering the fence to be updated to a preset database in real time.
The passing sequence of the vehicles entering the enclosure is determined according to the vehicle platform information, the vehicles entering the enclosure are ensured to pass in order, the current number of the vehicles entering the enclosure is updated in real time, and the real-time performance and effectiveness of road condition updating are improved.
Further, the step of controlling the passing of each vehicle to enter the enclosure according to the information of each vehicle platform comprises:
step k, judging whether the vehicle platforms are consistent or not according to the information of the vehicle platforms;
step l, if the vehicle platforms are consistent, determining corresponding route priority according to the corresponding route information of the vehicles entering the vehicle;
and m, controlling the passing of the vehicles entering the enclosure according to the route priority.
In this embodiment, it should be noted that each vehicle management platform is provided with different priorities for different transportation routes according to actual transportation demands. When belonging to the same vehicle management platform, the passing control of the vehicles entering the enclosure can be carried out according to the preset route priority. Specifically, when the platforms of the vehicles entering the enclosure are consistent, route information corresponding to the vehicles entering the enclosure is obtained, and the priority condition corresponding to the route information is obtained, so that the route priority of the vehicles entering the enclosure is determined, and the vehicles entering the enclosure are controlled to pass in order according to the route priority. And if the same priority corresponds to the route information of a plurality of vehicles entering the fence, controlling the vehicles entering the fence to pass in order according to the time sequence of the vehicles entering the preset fence range.
When the vehicle platforms are consistent, the passing sequence of the vehicles entering the enclosure is determined according to the preset route priority, so that the real transportation intention is met to the maximum extent, and the transportation efficiency is improved.
Further, after the step of determining whether each of the vehicle platforms is consistent according to each of the vehicle platform information, the method further includes:
step o, if the vehicle platforms are not consistent, acquiring the entrance time corresponding to the entrance vehicles;
step p, sequencing the entry time according to the time sequence;
and q, controlling the passing of the vehicles entering the enclosure according to the sequencing result of the enclosing time.
In this embodiment, it should be noted that the enclosure time refers to a time when each enclosure vehicle enters a preset enclosure range. Specifically, when the platforms of the vehicles entering the enclosure are not consistent, the corresponding enclosure entering time of each vehicle entering the enclosure is obtained, the enclosure entering time is sequenced according to the time sequence, and a sequencing result is determined. And controlling the vehicles entering the enclosure to pass in order according to the sequence in the sequencing result corresponding to the time of entering the enclosure. In an embodiment, the passing order of the vehicles entering the enclosure is determined according to a first-in first-out principle for the vehicles entering the enclosure corresponding to any management platform.
When the vehicle platform is inconsistent, the passing of the vehicles is controlled according to the passing time, the passing order of the logistics vehicles is ensured, and the passing efficiency is improved.
Further, after the step of determining whether the number of enclosures is greater than or equal to a preset threshold, the method further includes:
r, if the number of the enclosures is larger than or equal to a preset threshold value, acquiring peripheral route information corresponding to the peripheral logistics vehicles;
step s, planning an updating route corresponding to the peripheral logistics vehicle according to the peripheral route information;
and t, controlling the peripheral logistics vehicles to pass according to the updated route.
In this embodiment, it should be noted that the peripheral route information refers to road condition information of other routes except the current preset fence range, that is, other route information enabling the logistics vehicles to reach the preset destination. If the current number of the enclosed vehicles is larger than or equal to the preset threshold value, namely when the enclosed vehicles meet risks, in order to avoid congestion, the road condition information of other current road sections can be detected, so that the purpose of ensuring smooth transportation by replanning the transportation route of the peripheral logistics vehicles is achieved. Specifically, when the number of entries is greater than or equal to the preset threshold, obtaining peripheral line information corresponding to other road sections outside the current preset fence range, and replanning the transportation route of the peripheral logistics vehicle according to the idle road sections in the peripheral line information to obtain an updated route. And controlling the peripheral vehicles to pass according to the updated route.
When the preset fence range is determined, namely the meeting risk possibly occurs at the intersection, a new transportation route is planned for peripheral logistics vehicles about to enter the intersection in time, the waiting time is shortened, and the transportation efficiency is improved.
In addition, the present invention further provides a vehicle, which includes a memory, a processor, and a multi-platform logistics vehicle cooperation program stored in the memory and operable on the processor, wherein: when executed by the processor, the multi-platform logistics vehicle cooperation program implements the multi-platform logistics vehicle cooperation method according to the embodiments of the invention.
In addition, the invention also provides a computer readable storage medium, wherein the multi-platform logistics vehicle cooperation program is stored on the computer readable storage medium. The computer-readable storage medium may be the Memory 20 in the terminal of fig. 1, and may also be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, and the computer-readable storage medium includes instructions for causing a vehicle with a processor to execute the multi-platform logistics vehicle coordination method according to the embodiments of the present invention.
It is to be understood that throughout the description of the present specification, reference to the term "one embodiment", "another embodiment", "other embodiments", or "first through nth embodiments", etc., is intended to 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 present 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 should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005284588A (en) * | 2004-03-29 | 2005-10-13 | Sumitomo Electric Ind Ltd | Traffic regulation judgment method, regular service route judgment method and program |
| JP2019046013A (en) * | 2017-08-31 | 2019-03-22 | 日産自動車株式会社 | Traveling control method of automatic operation vehicle and traveling control device |
| CN113362591A (en) * | 2021-05-08 | 2021-09-07 | 银隆新能源股份有限公司 | Control method and control device for park logistics vehicle and unmanned logistics vehicle |
| CN113382360A (en) * | 2020-03-09 | 2021-09-10 | 上海擎感智能科技有限公司 | Monitoring method, monitoring system, medium and server based on electronic fence |
| CN113611131A (en) * | 2021-07-22 | 2021-11-05 | 上汽通用五菱汽车股份有限公司 | Vehicle passing method, device, equipment and computer readable storage medium |
-
2021
- 2021-11-12 CN CN202111344631.1A patent/CN114066221A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005284588A (en) * | 2004-03-29 | 2005-10-13 | Sumitomo Electric Ind Ltd | Traffic regulation judgment method, regular service route judgment method and program |
| JP2019046013A (en) * | 2017-08-31 | 2019-03-22 | 日産自動車株式会社 | Traveling control method of automatic operation vehicle and traveling control device |
| CN113382360A (en) * | 2020-03-09 | 2021-09-10 | 上海擎感智能科技有限公司 | Monitoring method, monitoring system, medium and server based on electronic fence |
| CN113362591A (en) * | 2021-05-08 | 2021-09-07 | 银隆新能源股份有限公司 | Control method and control device for park logistics vehicle and unmanned logistics vehicle |
| CN113611131A (en) * | 2021-07-22 | 2021-11-05 | 上汽通用五菱汽车股份有限公司 | Vehicle passing method, device, equipment and computer readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| WEN-XING ZHU等: "Study on discrete boundary-feedback-control strategy for traffic flow based on Macroscopic Fundamental Diagram", 《PHYSICA A:STATISTICAL MECHANICS AND ITS APPLICATIONS》, vol. 523, 22 April 2019 (2019-04-22), pages 1237 - 1247 * |
| 白聪敏: "区域交通环境下的智能车全自主导航方法研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, no. 12, 15 December 2012 (2012-12-15), pages 035 - 14 * |
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