CN114298452A - Smart production park scheduling management method and device - Google Patents
Smart production park scheduling management method and device Download PDFInfo
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- CN114298452A CN114298452A CN202111307066.1A CN202111307066A CN114298452A CN 114298452 A CN114298452 A CN 114298452A CN 202111307066 A CN202111307066 A CN 202111307066A CN 114298452 A CN114298452 A CN 114298452A
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Abstract
The application discloses a method and a device for scheduling and managing an intelligent production park, wherein the method comprises the following steps: acquiring a transportation demand in a preset time period, wherein the preset time period is a time period after the current time, the preset time is not yet arrived, and the transportation demand is a goods transportation demand in a garden; acquiring the starting point and the end point of the transportation demand; sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; receiving feedback information of the plurality of vehicles, wherein the feedback information is used for indicating whether the vehicle can execute the transportation plan or not; selecting vehicles capable of executing the transportation plan to meet the transportation demand. Through the method and the device, the problem that goods transportation is untimely due to the fact that the vehicle scheduling mode in the prior art is possibly adopted is solved, and therefore transportation efficiency is improved.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a device for scheduling and managing an intelligent production park.
Background
In the production park, production materials and the handling of products are involved. At present, manually driven vehicles wait for dispatching at a dispatching place, and when the vehicles have transportation requirements in a park, the personnel at the dispatching place can be contacted to arrange the vehicles to transport articles.
Along with autopilot's development, wisdom production garden has used unmanned transport vechicle to carry out the transportation of garden interior article a bit, and the cost has been practiced thrift in this kind of transportation. This transportation is also based on demand. When there is a demand for transportation, a dispatch request is issued in the dispatch system, and vehicles are then allocated at the vehicle dispatch station according to the transportation request.
This way of allocating vehicles according to real-time requirements may cause problems of transport vehicles being busy and causing untimely transport of goods, which are caused by the fact that no anticipation is made on the transport requirements.
Disclosure of Invention
The embodiment of the application provides an intelligent production park scheduling management method and device, and the problem that goods transportation is untimely due to the fact that a vehicle scheduling mode in the prior art is at least solved.
According to one aspect of the application, an intelligent production park scheduling management method is provided, and comprises the following steps: acquiring a transportation demand in a preset time period, wherein the preset time period is a time period after the current time, the preset time is not yet arrived, and the transportation demand is a goods transportation demand in a garden; acquiring the starting point and the end point of the transportation demand; sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; receiving feedback information of the plurality of vehicles, wherein the feedback information is used for indicating whether the vehicle can execute the transportation plan or not; selecting vehicles capable of executing the transportation plan to meet the transportation demand.
Further, the transportation plan includes: a start and end of the transportation demand, the predetermined time period.
Further, still include: judging the number of required automatically driven vehicles according to the transportation demand; selecting vehicles capable of executing the transportation plan to meet the transportation demand includes: selecting the number of vehicles capable of executing the transportation plan to meet the transportation demand.
Further, determining the number of vehicles needed based on the transportation demand includes: acquiring the types of the articles to be transported in the transportation demand; determining the number of vehicles required according to the type of the article.
Further, the vehicle is an autonomous vehicle within the campus.
According to another aspect of the present application, there is also provided an intelligent production park scheduling management device, including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a transportation demand in a preset time period, the preset time period is a time period after the current time, the preset time period does not come yet, and the transportation demand is a goods transportation demand in a park; the second acquisition module is used for acquiring the starting point and the end point of the transportation demand; a sending module for sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; a receiving module, configured to receive feedback information of the plurality of vehicles, where the feedback information is used to indicate whether the vehicle can execute the transportation plan; a selection module to select vehicles capable of executing the transportation plan to meet the transportation demand.
Further, the transportation plan includes: a start and end of the transportation demand, the predetermined time period.
Further, still include: the judging module is used for judging the number of the required automatic driving vehicles according to the transportation demand; the selection module for selecting vehicles capable of executing the transportation plan to meet the transportation demand comprises: selecting the number of vehicles capable of executing the transportation plan to meet the transportation demand.
Further, the determining module is configured to: acquiring the types of the articles to be transported in the transportation demand; determining the number of vehicles required according to the type of the article.
Further, the vehicle is an autonomous vehicle within the campus.
In the embodiment of the application, the transportation requirement in a preset time period is obtained, wherein the preset time period is a time period after the current time, the preset time is not yet arrived, and the transportation requirement is a goods transportation requirement in a garden; acquiring the starting point and the end point of the transportation demand; sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; receiving feedback information of the plurality of vehicles, wherein the feedback information is used for indicating whether the vehicle can execute the transportation plan or not; selecting vehicles capable of executing the transportation plan to meet the transportation demand. Through the method and the device, the problem that goods transportation is untimely due to the fact that the vehicle scheduling mode in the prior art is possibly adopted is solved, and therefore transportation efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of an intelligent production park scheduling management method according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, an intelligent scheduling management method for a park is provided, and fig. 1 is a flowchart of an intelligent scheduling management method for a park according to an embodiment of the present application, as shown in fig. 1, the flowchart includes the following steps:
step S102, acquiring a transportation demand in a preset time period, wherein the preset time period is a time period after the current time, the preset time period does not come yet, and the transportation demand is a goods transportation demand in a garden;
step S104, acquiring the starting point and the end point of the transportation demand;
step S106, sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; optionally, the transportation plan may include: a start and end of the transportation demand, and the predetermined time period.
Step S108, receiving feedback information of the plurality of vehicles, wherein the feedback information is used for indicating whether the vehicle can execute the transportation plan;
step S110, selecting a vehicle capable of executing the transportation plan to meet the transportation demand.
As an alternative embodiment, after selecting vehicles capable of executing the transportation plan, planning a path for each vehicle according to the starting point and the ending point; and planning the time of each vehicle reaching the starting point, and respectively sending the planned path and the time of reaching the starting point to each vehicle.
As another alternative embodiment, in step S108, the vehicle that has received the transportation plan determines whether it is possible to receive the transportation plan according to the route that has been received by itself and the time of arrival at the predetermined place, and feeds back feedback information that enables execution of the transportation plan if the transportation technology can be received.
If a second number of received vehicles capable of executing the feedback information of the transportation plan is greater than a first number of required vehicles, selecting the first number of vehicles from the second number, wherein vehicles in an idle state within a predetermined time period before the predetermined time period are selected; or sequencing the second number of vehicles according to the transportation capacity to obtain a team, and selecting the first number of vehicles in front of the team. The transport capacity may be determined according to at least one of: load capacity, size of the space in which the vehicle is loaded, and performance of the vehicle.
And if the second number is smaller than the first number, selecting at least one vehicle from the second number for multiple transportation, wherein the at least one vehicle can be selected for multiple transportation according to the transportation capacity.
After determining the vehicle for executing the transportation plan, feeding back identification information of the vehicle for executing the transportation plan and the time to reach the origin and the number of times of executing transportation to the originator of the delivery demand.
The problem that goods transportation is not timely due to the fact that the vehicle scheduling mode in the prior art is adopted is solved through the steps, and therefore transportation efficiency is improved.
In an alternative embodiment, the number of required autonomous vehicles may also be determined according to the transportation demand; then, the number of vehicles capable of executing the transportation plan is selected to meet the transportation demand.
Judging the number of the required vehicles according to the transportation demand in many ways, for example, acquiring the types of the articles required to be transported in the transportation demand; determining the number of vehicles required according to the type of the article.
The volume or weight of the item may be determined based on the type of item in the transportation demand, and then the number of vehicles required may be determined based on the volume or weight.
In another alternative embodiment, a production cycle of a production entity (e.g., a business or a factory) on a campus may be obtained, where the production cycle includes a time period from the start of production to the production of the product, and the time node of the production product is included in the production cycle; obtaining required transportation demands of each time node in a production cycle according to the production cycle, wherein the transportation demands are used for indicating the transportation demands in a preset period, and the preset period comprises one or more production cycles; and obtaining a transportation plan according to the transportation demand, and sending the transportation plan to the vehicle according to the time node of the production cycle so as to lock the vehicle in advance.
The vehicle in the above embodiment is a vehicle that is automatically driven in a campus. The vehicle may have a variety of configurations, as will be exemplified below.
Example 1
The autonomous vehicle in this example includes: a traveling unit that is attachable to an upper structure and does not have a cabin; and a first connection unit that is provided in the travel unit and is connected to the upper structure that is detachably attached to the travel unit. The travel unit has a mounting area to which the upper structure is mountable, a first wheel, and a second wheel located rearward of the first wheel in a vehicle traveling direction, the mounting area having at least a size from substantially the same position as the first wheel to substantially the same position as the second wheel in the vehicle traveling direction. The mounting region is provided in a range of an entire length of the traveling unit in the vehicle traveling direction.
Example 2
The autonomous vehicle in this example, comprising: a frame; the moving unit is arranged on the frame and is used for driving the frame to move; the ranging radar comprises a first forward radar, a first lateral radar and a second lateral radar which are arranged on the upper part of the front end of the frame; the first lateral radar and the second lateral radar are respectively positioned on the left side and the right side of the frame; the camera comprises a forward probe, a first lateral probe and a second lateral probe which are arranged at the upper part of the front end of the frame; the forward probe and the first forward radar are arranged in parallel in the left-right direction; the first lateral probe and the second lateral probe are respectively positioned on the left side and the right side of the frame. Optionally, the forward probe includes a first probe and a second probe spaced apart in a left-right direction, and the first forward radar is located between the first probe and the second probe. Optionally, an infrared camera is further disposed on the upper portion of the front end of the frame, and the infrared camera is located between the first probe and the first forward radar. Optionally, a night camera is further arranged on the upper portion of the front end of the frame, and the night camera is located between the second probe and the first forward radar.
The above embodiments, which relate to path planning and automatic driving control, may be performed using the following methods: periodically collecting longitude and latitude coordinates at intervals on a garden road, setting the number of collected coordinate points as n, and converting the collected coordinate points based on a geodetic coordinate system into n plane coordinate points; then, fitting a path curve of the garden road by using the n plane coordinate points, then calculating the shortest distance Dmin between the current position coordinate of the vehicle and the path curve, and calculating the steering of the steering wheel of the vehicle according to the current position coordinate of the vehicle and the coordinate of a collection point on the path curve, which is closest to the current position of the vehicle; and finally, controlling the vehicle to perform left steering and right steering with the rotation angle in direct proportion to the shortest distance Dmin between the vehicle and the path curve so as to control the automatic driving of the vehicle on the garden road.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments.
The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.
Such an apparatus or system is provided in this embodiment. The device is called wisdom production garden scheduling management device, includes: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a transportation demand in a preset time period, the preset time period is a time period after the current time, the preset time period does not come yet, and the transportation demand is a goods transportation demand in a park; the second acquisition module is used for acquiring the starting point and the end point of the transportation demand; a sending module for sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand; a receiving module, configured to receive feedback information of the plurality of vehicles, where the feedback information is used to indicate whether the vehicle can execute the transportation plan; a selection module to select vehicles capable of executing the transportation plan to meet the transportation demand.
The system or the apparatus is used for implementing the functions of the method in the foregoing embodiments, and each module in the system or the apparatus corresponds to each step in the method, which has been described in the method and is not described herein again.
For example, the apparatus may further include: the judging module is used for judging the number of the required automatic driving vehicles according to the transportation demand; the selection module for selecting vehicles capable of executing the transportation plan to meet the transportation demand comprises: selecting the number of vehicles capable of executing the transportation plan to meet the transportation demand.
For another example, the determining module is configured to: acquiring the types of the articles to be transported in the transportation demand; determining the number of vehicles required according to the type of the article.
The problem that goods are not transported timely due to the fact that the vehicle scheduling mode in the prior art is achieved through the embodiment, and therefore transportation efficiency is improved.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An intelligent production park scheduling management method is characterized by comprising the following steps:
acquiring a transportation demand in a preset time period, wherein the preset time period is a time period after the current time, the preset time is not yet arrived, and the transportation demand is a goods transportation demand in a garden;
acquiring the starting point and the end point of the transportation demand;
sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand;
receiving feedback information of the plurality of vehicles, wherein the feedback information is used for indicating whether the vehicle can execute the transportation plan or not;
selecting vehicles capable of executing the transportation plan to meet the transportation demand.
2. The method of claim 1, wherein the transportation plan comprises: a start and end of the transportation demand, the predetermined time period.
3. The method of claim 1,
further comprising: judging the number of required automatically driven vehicles according to the transportation demand;
selecting vehicles capable of executing the transportation plan to meet the transportation demand includes: selecting the number of vehicles capable of executing the transportation plan to meet the transportation demand.
4. The method of claim 3, wherein determining the number of vehicles needed based on the transportation demand comprises:
acquiring the types of the articles to be transported in the transportation demand;
determining the number of vehicles required according to the type of the article.
5. The method according to any one of claims 1 to 4, wherein the vehicle is an autonomous vehicle driving within the campus.
6. The utility model provides an wisdom production park dispatch management device which characterized in that includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a transportation demand in a preset time period, the preset time period is a time period after the current time, the preset time period does not come yet, and the transportation demand is a goods transportation demand in a park;
the second acquisition module is used for acquiring the starting point and the end point of the transportation demand;
a sending module for sending a transportation plan to a plurality of vehicles, wherein the transportation plan is used for executing the transportation demand;
a receiving module, configured to receive feedback information of the plurality of vehicles, where the feedback information is used to indicate whether the vehicle can execute the transportation plan;
a selection module to select vehicles capable of executing the transportation plan to meet the transportation demand.
7. The apparatus of claim 6, wherein the transportation plan comprises: a start and end of the transportation demand, the predetermined time period.
8. The apparatus of claim 6,
further comprising: the judging module is used for judging the number of the required automatic driving vehicles according to the transportation demand;
the selection module for selecting vehicles capable of executing the transportation plan to meet the transportation demand comprises: selecting the number of vehicles capable of executing the transportation plan to meet the transportation demand.
9. The apparatus of claim 8, wherein the determining module is configured to:
acquiring the types of the articles to be transported in the transportation demand;
determining the number of vehicles required according to the type of the article.
10. The apparatus of any one of claims 6 to 9, wherein the vehicle is an autonomous vehicle in the campus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111307066.1A CN114298452A (en) | 2021-11-05 | 2021-11-05 | Smart production park scheduling management method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111307066.1A CN114298452A (en) | 2021-11-05 | 2021-11-05 | Smart production park scheduling management method and device |
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| CN114298452A true CN114298452A (en) | 2022-04-08 |
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| CN202111307066.1A Pending CN114298452A (en) | 2021-11-05 | 2021-11-05 | Smart production park scheduling management method and device |
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