CN110782088A - UWB-based vehicle scheduling optimization system and method thereof - Google Patents

UWB-based vehicle scheduling optimization system and method thereof Download PDF

Info

Publication number
CN110782088A
CN110782088A CN201911020438.5A CN201911020438A CN110782088A CN 110782088 A CN110782088 A CN 110782088A CN 201911020438 A CN201911020438 A CN 201911020438A CN 110782088 A CN110782088 A CN 110782088A
Authority
CN
China
Prior art keywords
carrying
transportation
parameter
subarea
transport
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201911020438.5A
Other languages
Chinese (zh)
Other versions
CN110782088B (en
Inventor
邓嘉明
侯跃恩
叶中文
黄戈文
曾军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiaying University
Original Assignee
Jiaying University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiaying University filed Critical Jiaying University
Priority to CN201911020438.5A priority Critical patent/CN110782088B/en
Publication of CN110782088A publication Critical patent/CN110782088A/en
Application granted granted Critical
Publication of CN110782088B publication Critical patent/CN110782088B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Theoretical Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention discloses a vehicle scheduling optimization system based on UWB, which comprises a regional storage database, an article input and output statistical module, a UWB position module, a regional data statistical module, a management server and a vehicle scheduling module, wherein the article input and output statistical module is used for carrying out the UWB position module; the management server is respectively connected with the area storage database, the article input and output statistical module, the UWB position module, the area data statistical module and the vehicle scheduling module, and the vehicle scheduling module is connected with the area storage database. According to the invention, the ratio of the number of the types of the articles to be transported in each transportation subarea to the transportation workshops is counted, so that the vehicles in each transportation subarea are reasonably scheduled and guided, the imbalance of the transportation efficiency is avoided, the transportation efficiency is improved, the balance of the workload of the transportation vehicles in each transportation subarea is ensured, the storage space of each transportation subarea is provided to the maximum extent, the optimization of vehicle scheduling is realized, the rationality of vehicle dynamic allocation is improved, and the transportation requirements of different types and numbers of articles are met.

Description

UWB-based vehicle scheduling optimization system and method thereof
Technical Field
The invention belongs to the technical field of vehicle scheduling management, and relates to a UWB-based vehicle scheduling optimization system and a UWB-based vehicle scheduling optimization method.
Background
The warehouse is mainly used for storing articles in a centralized manner, particularly for large-scale sellers, due to the fact that the stored articles are various, in order to avoid confusion caused by various stored articles, a storage area is generally divided into a plurality of storage areas for storing articles of different article types, and for sellers with large sales volumes, the sold articles, the article types stored in the storage areas and the corresponding number of the article types are large.
At present, when each cargo is transported by each manufacturer, the cargo needs to be manually transported to a designated storage place or transported from the designated storage place to a packing transportation place, so that the workload of personnel is large, meanwhile, the work efficiency is affected and the work is disordered due to the back and forth replacement of personnel, in order to solve the problems, part of shops adopt a transport vehicle to transport from a certain place to the designated place, the existing transport vehicle keeps the transport of the same article type by a fixed transport path, the dispatching and switching among the article types cannot be realized, when the transport volume of the articles in a certain storage area is small and the transport volume of other transport areas is large, the vehicles cannot be reasonably dispatched, so that the vehicles in the area with small transport volume are dispatched to the area with large transport volume, the workload of the transport vehicle in the area with large transport volume is relieved, and meanwhile, the maximized free area cannot be reasonably provided for the storage area of each article type, affecting the circulation of the article types.
Disclosure of Invention
The invention aims to provide a UWB-based vehicle scheduling optimization system, which schedules the transport vehicles of the transport sub-region with small transport task amount to the transport sub-region with large transport task amount according to the number of the types of the articles to be transported and the number of the transport vehicles in each transport sub-region, so as to relieve the transport efficiency of the transport sub-region with large transport task amount, solve the problems of poor reasonability of vehicle distribution, low transport efficiency and incapability of realizing dynamic vehicle scheduling in each transport sub-region in the prior art, and greatly improve the storage space of each transport sub-region and the transport efficiency of each transport sub-region.
The purpose of the invention can be realized by the following technical scheme:
a UWB-based vehicle scheduling optimization system comprises a regional storage database, an article input and output statistical module, a UWB position module, a regional data statistical module, a management server and a vehicle scheduling module;
the management server is respectively connected with the regional storage database, the article input and output statistical module, the UWB position module, the regional data statistical module and the vehicle scheduling module, and the vehicle scheduling module is connected with the regional storage database;
the area storage database is used for storing position areas corresponding to the conveying sub-areas and storing conveying tracks corresponding to the areas from the article type storage areas to the article type destinations to be conveyed, conveying time corresponding to the areas from the article type storage areas to the article type destinations to be conveyed and tracks from the conveying sub-areas to other conveying sub-areas;
the UWB position module is respectively arranged on each transport vehicle and used for acquiring the position of the transport vehicle in real time and sending the position of the transport vehicle to the management server;
the article input and output counting module is used for counting the article type moving-in quantity and the moving-out quantity in each conveying sub-area in each fixed time period T and sending the article moving-in quantity and the moving-out quantity in each conveying sub-area to the management server;
the management server is used for receiving the positions of the transport vehicles sent by the UWB position module, comparing the received positions of the transport vehicles sent by the UWB position module with the corresponding position areas of the transport sub-areas to screen out the number of the transport sub-area where each transport vehicle is located, and sending the screened numbers of the transport sub-areas corresponding to each transport vehicle to the area data statistics module;
and receives the article carrying-in quantity and the article carrying-out quantity in each carrying sub-area sent by the area data statistical module, and counting the moving-in and moving-out ratio in each transportation subarea, judging whether the ratio of the number of the transportation subareas with the moving-in and moving-out ratio larger than the first parameter to the number of the transportation subareas with the moving-in and moving-out ratio smaller than the second parameter is within 0.6-1.3, counting the number of the current transport vehicles in the transportation subareas with the moving-in and moving-out ratio larger than the first parameter and the transportation subareas with the moving-in and moving-out ratio smaller than the second parameter and counting the sum of the number of the types of the current articles to be transported in each transportation subarea, the ratio of the sum of the article types to the number of the transport vehicles is obtained to obtain the average transport times of each transport vehicle, sending the counted average transportation times of each transport vehicle in the transportation subarea with the moving-in and moving-out ratio larger than the first parameter and the transportation subarea with the moving-in and moving-out ratio smaller than the second parameter to a vehicle scheduling module;
the regional data counting module is used for receiving the numbers of the transportation subregions corresponding to the transportation sent by the management server, counting the times of occurrence of the numbers of the transportation subregions so as to accumulate the number of the transport vehicles in the transportation subregions and sending the counted number of the transport vehicles in the transportation subregions to the management server;
the vehicle scheduling module is used for receiving the average transportation times of each transport vehicle in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter sent by the management server, extracting the transportation time corresponding to the transportation subarea from the article type storage area to the area of the destination where the article type needs to be carried in the area storage database, respectively counting the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter, sequencing the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from large to small, and sequencing the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from small to large, and the transportation track of each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the track from each transportation subarea to other transportation subareas are sent to the w quantity of transportation vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter corresponding to the sequence number, and the w quantity of transportation vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter are guided to the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter corresponding to the number.
Further, when the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter is not within 0.6-1.3, the numerical values of the first parameter are sequentially reduced by the same numerical value and the numerical value of the second parameter is increased until the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter in the sub-transport areas is within 0.6-1.3.
A UWB-based vehicle scheduling optimization method comprises the following steps:
s1, dividing the area to be transported into a plurality of transportation sub-areas according to the types of the transported articles, wherein the transportation sub-areas are respectively 1,2, n, and n represents the number of the sub-areas to be transported;
s3, acquiring the number of the types of the articles carried in and the number of the types of the articles carried out in each transportation subarea in a fixed time period T;
s4, counting the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in each conveying subarea, namely the carrying-in and carrying-out ratio, wherein the carrying-in and carrying-out ratio of a certain conveying subarea is equal to the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in the conveying subarea in a fixed time period T;
s5, counting the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter in each transportation subarea, and counting the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in each transportation subarea;
s6, judging whether the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter in the sub-transport areas is between 0.6 and 1.3, if so, executing a step S7;
s7, respectively counting the number of the current transport vehicles in the transport subareas with the carrying-in and carrying-out ratio larger than the first parameter and the number of the types of the current articles to be transported in the transport subareas with the carrying-in and carrying-out ratio smaller than the second parameter;
s8, counting the ratio of the sum of the types of the articles to be transported in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter to the transport vehicle, and counting the ratio of the sum of the types of the articles in the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter to the transport vehicle;
s9, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio larger than a first parameter from the article type storage area to the area of the destination where the article type needs to be carried, respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than a second parameter from the article type storage area to the area of the destination where the article type needs to be carried, and respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter;
s10, acquiring the sum of the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, sequencing and numbering the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being larger than the first parameter and the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being smaller than the second parameter from large to small, wherein the time and the sequence are respectively U1, U2,. the Um and the Um are respectively represented as the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being m and the carrying-in and carrying-out ratio being larger than the first parameter, acquiring the time and the sum required by the accumulated transportation of each transport vehicle, sequencing the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter and the time required by the accumulated transportation of each transport vehicle in the transportation subareas from large to small, wherein the time and the sequence are respectively V1, V2,. once, Vm and Vm, and the time and the sequence are m, and the carrying-in and carrying-out ratio is smaller than the transportation subarea with the second parameter;
s11, extracting the positions of the conveying sub-regions corresponding to the sequence numbers U1, U2,., Um and the transportation trajectories in the conveying sub-regions corresponding to the sequence numbers U1, U2,. and Um, and extracting the trajectories between the conveying sub-regions corresponding to the sequence number Uk and the conveying sub-regions corresponding to the sequence number Vk, where k is 1,2,. and m;
s12, extracting transport vehicles in the conveying sub-regions corresponding to the sequence numbers V1, V2, and Vm according to the fixed transport vehicle number w, and respectively sending the conveying tracks in the conveying sub-regions corresponding to the sequence numbers U1, U2, and Um, the positions of the conveying sub-regions corresponding to the Um, the numbers U1, U2, and the like, and the tracks between the two conveying sub-regions corresponding to the same sequence number to the transport vehicles in the V1, V2, and the like and Vm conveying sub-regions corresponding to the same sequence number, wherein w is smaller than any one value of a1, a2, and the like;
s13, executing step S9, judging whether the difference between the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from the article type storage area to the area where the article type is required to be transported and the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from the article type storage area to the area where the article type is required to be transported is smaller than a preset time threshold value, if so, increasing the fixed transport vehicle number w by the same value in sequence, the difference between the time required for the transport vehicle in each transport sub-area with the carrying-in/out ratio larger than the first parameter to reach the area from the article type storage area to the destination to which the article type is to be transported and the time required for the transport vehicle in each transport sub-area with the carrying-in/out ratio smaller than the second parameter to reach the area from the article type storage area to the destination to which the article type is to be transported is smaller than a preset time threshold.
Further, the value of the first parameter is greater than the value of the second parameter.
Further, the sum of the time required for transporting each vehicle is equal to the ratio of the sum of the number of the types of the articles to be transported in the transportation sub-area to the transportation vehicle, and the ratio is multiplied by the time required for the transportation vehicle to travel from the storage area for the types of the articles to the area where the types of the articles are to be transported.
Further, the number of the transportation sub-areas with the carrying-in/out ratio larger than the first parameter in each transportation sub-area is obtained and counted, the number of the transportation sub-areas with the carrying-in/out ratio smaller than the second parameter in each transportation sub-area is counted, and the steps S6 to S13 are performed.
Further, if the ratio of the number of the sub-transport areas having the carrying-in/carrying-out ratio greater than the first parameter to the number of the sub-transport areas having the carrying-in/carrying-out ratio less than the second parameter is not between 0.6 and 1.3, the step S5 is executed until the ratio of the number of the sub-transport areas having the carrying-in/carrying-out ratio greater than the first parameter to the number of the sub-transport areas having the carrying-in/carrying-out ratio less than the second parameter is between 0.6 and 1.3.
The invention has the beneficial effects that:
1. according to the UWB-based vehicle scheduling optimization system, the positions of vehicles are obtained, the ratio of the types of the articles to be transported in each transportation subarea to the number of the transportation workshops is counted, and the transportation vehicles in the transportation subarea with small transportation task amount are scheduled to the transportation subarea with large transportation task amount, so that the transportation efficiency of the transportation subarea with large transportation task amount is relieved, the imbalance of the transportation efficiency is avoided, the transportation efficiency is improved, and the balance of the workload of the transportation vehicles in each transportation subarea is ensured.
2. The method has the advantages that the transportation tracks of the transportation sub-areas and the tracks from the transportation sub-areas to other transportation sub-areas are obtained, the dispatched vehicles can be guided to the required transportation sub-areas, the path switching of the transport vehicles among the transportation sub-areas is realized, the balance of the transport vehicles in the transportation sub-areas is promoted, the storage space of the transportation sub-areas is provided to the maximum extent, the optimization of vehicle dispatching is realized, the reasonability of vehicle dynamic allocation is improved, and the transportation requirements of different article types and quantities are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a UWB-based vehicle dispatch optimization system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a vehicle scheduling optimization system based on UWB includes an area storage database, an article input and output statistical module, a UWB location module, an area data statistical module, a management server, and a vehicle scheduling module;
the management server is respectively connected with the area storage database, the article input and output statistical module, the UWB position module, the area data statistical module and the vehicle scheduling module, and the vehicle scheduling module is connected with the area storage database.
The method comprises the steps that the types of articles to be transported are divided into a plurality of transportation sub-regions according to the types of the articles to be transported, the types of the articles to be transported in each transportation sub-region are different, and the transportation sub-regions are sequenced and are respectively 1,2, 1, n and n are expressed as the number of the sub-regions to be transported;
the area storage database is used for storing the position areas corresponding to the conveying sub-areas and storing the conveying tracks of the conveying sub-areas corresponding to the areas from the article type storage area to the article type required conveying destination, the conveying time corresponding to the areas from the article type storage area to the article type required conveying destination and the tracks of the conveying sub-areas to other conveying sub-areas;
the UWB position module is respectively arranged on each transport vehicle and used for acquiring the position of the transport vehicle in real time and sending the position of the transport vehicle to the management server;
the article input and output counting module is used for counting the article type carrying-in quantity and the carrying-out quantity in each carrying sub-area in each fixed time period T and sending the article carrying-in quantity and the carrying-out quantity in each carrying sub-area to the management server;
the management server is used for receiving the positions of the transport vehicles sent by the UWB position module, comparing the received positions of the transport vehicles sent by the UWB position module with the corresponding position areas of the transport sub-areas to screen out the number of the transport sub-area where each transport vehicle is located, and sending the screened numbers of the transport sub-areas corresponding to each transport vehicle to the area data statistics module; receiving the article carrying-in quantity and carrying-out quantity in each carrying sub-area sent by the area data statistical module, and counting the carrying-in and carrying-out ratio in each carrying sub-area, wherein the carrying-in and carrying-out ratio in each carrying sub-area is equal to the ratio of the quantity of the article types stored in the carrying sub-area to the quantity of the article types carried out, judging whether the ratio of the quantity of the carrying-in and carrying-out sub-area with the carrying-in and carrying-out ratio larger than a first parameter to the quantity of the carrying sub-area with the carrying-in and carrying-out ratio smaller than a second parameter is within 0.6-1.3, if so, counting the quantity of the current transport vehicles in the carrying sub-area with the carrying-in and carrying-out ratio larger than the first parameter and in and carrying-out ratio smaller than the second parameter and counting the sum of the types of the articles currently required to be transported in each carrying sub-area, and taking the ratio of the sum, sending the counted average transportation times of each transport vehicle in the transportation subarea with the moving-in and moving-out ratio larger than the first parameter and the transportation subarea with the moving-in and moving-out ratio smaller than the second parameter to a vehicle scheduling module; if the ratio of the number of the transport subareas with the moving-in and moving-out ratio larger than the first parameter to the number of the transport subareas with the moving-in and moving-out ratio smaller than the second parameter is not within 0.6-1.3, the numerical value of the first parameter is reduced by equaling the numerical value in sequence and the numerical value of the second parameter is increased until the ratio of the number of the transport subareas with the moving-in and moving-out ratio larger than the first parameter to the number of the transport subareas with the moving-in and moving-out ratio smaller than the second parameter is within 0.6-1.3.
The regional data counting module is used for receiving the number of the transportation sub-region corresponding to each transportation sent by the management server, counting the number of times of occurrence of the number of each transportation sub-region to accumulate the number of the transport vehicles in the transportation sub-region, and sending the counted number of the transport vehicles in each transportation sub-region to the management server, wherein the number of the transport vehicles in the transportation sub-region is added with 1 when the management server sends the number of the transportation sub-region each time.
The vehicle scheduling module is used for receiving the average transportation times of each transport vehicle in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter sent by the management server, extracting the transportation time corresponding to the transportation subarea from the article type storage area to the area of the destination where the article type needs to be transported, respectively counting the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter, and sequencing the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter in a descending order, which is U1, U2,. V1, V2, as.vm, the numbers of U1, U2, as.um in the area storage database are extracted, the transportation track corresponding to each transportation subarea corresponding to the Um from the article type storage area to the area of the destination required for transporting the article type, the transportation time corresponding to the area from the article type storage area to the destination required for transporting the article type, and the track from each transportation subarea to other transportation subareas are extracted, the transportation track corresponding to the number of each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the track from the transportation subarea to the transportation subarea with the same sequence number and the carrying-in and carrying-out ratio smaller than the second parameter are sent to w transportation vehicles in the transportation subarea with the same sequence number and the carrying-in and carrying-out ratio smaller than the second parameter, the w amount of transportation vehicles are guided to move to the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, so as to realize the mutual scheduling between the two transportation subareas, the workload of the transport vehicles in the transport subareas with the carrying-in and carrying-out ratios larger than the first parameter is reduced, the workload of the transport vehicles in each transport subarea is ensured to be balanced, the optimization of vehicle allocation is improved, the carrying efficiency is greatly improved, and the storage space is maximally provided for each transport subarea.
The dispatching of the vehicles in each carrying subarea is adopted, so that the problem that the speed of the articles carried in other carrying subareas is high, the speed of the articles carried in other carrying subareas is low, the carrying efficiency is unbalanced, the transport vehicles can be reasonably distributed, the path switching of the transport vehicles among the carrying subareas is guided, the carrying efficiency is improved, the difference of the comprehensive carrying efficiency of each carrying subarea is reduced, and meanwhile, the problem of continuous automatic guiding and dispatching caused by unreasonable distribution of the transport vehicles is solved.
A UWB-based vehicle scheduling optimization method comprises the following steps:
s1, dividing an area to be transported into a plurality of transportation sub-areas, wherein the transportation sub-areas are respectively 1,2, n, n and n represent the number of the sub-areas to be transported, each transportation sub-area comprises an object type storage area, an area of a destination to be transported of the object type and a path area from the storage area to the destination area, each object type storage area stores different object types, and the number of transport vehicles arranged in each transportation sub-area is respectively a1, a2, a, an, an and an represents the number of transport vehicles in the nth transportation sub-area, wherein each transport vehicle is provided with a positioning device for acquiring the position of the transport vehicle;
s3, acquiring the number of the types of the articles carried in and the number of the types of the articles carried out in each transportation subarea in a fixed time period T;
s4, counting the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in each conveying subarea, namely the carrying-in and carrying-out ratio, wherein the carrying-in and carrying-out ratio of a certain conveying subarea is equal to the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in the conveying subarea in a fixed time period T;
s5, counting the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter in each transportation subarea, and counting the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in each transportation subarea, wherein the value of the first parameter is larger than the value of the second parameter;
s6, judging whether the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter is between 0.6 and 1.3, if so, executing a step S7, otherwise, executing a step S15;
s7, respectively counting the number of current transport vehicles in a transport subarea with a carrying-in and carrying-out ratio larger than a first parameter and a transport subarea with a carrying-in and carrying-out ratio smaller than a second parameter and counting the sum of the types and the number of the articles to be transported in each transport subarea, wherein the sum of the types and the number of the articles is equal to the sum of the number of the types of the articles remained in the last fixed time period T and the number of the types of the articles to be carried in;
s8, counting the ratio of the sum of the types of the articles to be transported in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter to the transport vehicle, and counting the ratio of the sum of the types of the articles in the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter to the transport vehicle;
s9, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio larger than a first parameter from the article type storage area to the area of the destination where the article type needs to be carried, respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than a second parameter from the article type storage area to the area of the destination where the article type needs to be carried, and respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter;
the time required by each vehicle for transportation is equal to the ratio of the sum of the types of the articles to be transported in the transportation subarea to the transportation vehicles, and the ratio is multiplied by the time required by the transportation vehicles from the article type storage area to the area of the article type to be transported;
s10, acquiring the sum of the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, sequencing and numbering the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being larger than the first parameter and the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being smaller than the second parameter from large to small, wherein the time and the sequence are respectively U1, U2,. the Um and the Um are respectively represented as the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being m and the carrying-in and carrying-out ratio being larger than the first parameter, acquiring the time and the sum required by the accumulated transportation of each transport vehicle, sequencing the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter and the time required by the accumulated transportation of each transport vehicle in the transportation subareas from large to small, wherein the time and the sequence are respectively V1, V2,. once, Vm and Vm, and the time and the sequence are m, and the carrying-in and carrying-out ratio is smaller than the transportation subarea with the second parameter;
s11, respectively extracting the positions of the conveying sub-regions corresponding to the sequence numbers U1, U2, wherein Um corresponds to the conveying sub-regions and the conveying tracks in the conveying sub-regions corresponding to the sequence numbers U1, U2, wherein k is 1,2, wherein m is the conveying track between the conveying sub-region corresponding to the sequence number Uk and the conveying sub-region corresponding to the sequence number Vk, and the conveying tracks in the conveying sub-regions are expressed as the tracks of the conveying vehicles from the article type storage region to the article type required conveying destination;
s12, extracting transport vehicles in the transport sub-regions corresponding to the sequence numbers V1, V2, and Vm according to the fixed transport vehicle number w, and respectively sending the transport tracks in the transport sub-regions corresponding to the sequence numbers U1, U2, and Um, and the positions of the transport sub-regions corresponding to the Um, the numbers U1, U2, and the transport tracks in the transport sub-regions corresponding to the Um and the tracks between the two transport sub-regions corresponding to the same sequence number to V1, V2, and the transport sub-regions corresponding to the same sequence number, wherein w is smaller than any one of a1, a2, a.
S13, executing step S9, judging whether the difference between the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from the article type storage area to the area where the article type is required to be transported and the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from the article type storage area to the area where the article type is required to be transported is smaller than a preset time threshold value, if so, increasing the fixed transport vehicle number w by the same value in sequence, until the difference between the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from the article type storage area to the area of the destination required for carrying the article type and the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from the article type storage area to the area of the destination required for carrying the article type is smaller than a preset time threshold;
s14, acquiring and counting the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter in each transportation subarea and counting the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in each transportation subarea in a fixed time period T, and executing the steps S6-S13;
s15, sequentially waiting for the numerical value to reduce the numerical value of the first parameter and increase the numerical value of the second parameter, and executing the step S5 until the ratio of the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in the transportation subareas is between 0.6 and 1.3.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (7)

1. A UWB-based vehicle dispatch optimization system, characterized by: the system comprises a regional storage database, an article input and output statistical module, a UWB position module, a regional data statistical module, a management server and a vehicle scheduling module;
the management server is respectively connected with the regional storage database, the article input and output statistical module, the UWB position module, the regional data statistical module and the vehicle scheduling module, and the vehicle scheduling module is connected with the regional storage database;
the area storage database is used for storing position areas corresponding to the conveying sub-areas and storing conveying tracks corresponding to the areas from the article type storage areas to the article type destinations to be conveyed, conveying time corresponding to the areas from the article type storage areas to the article type destinations to be conveyed and tracks from the conveying sub-areas to other conveying sub-areas;
the UWB position module is respectively arranged on each transport vehicle and used for acquiring the position of the transport vehicle in real time and sending the position of the transport vehicle to the management server;
the article input and output counting module is used for counting the article type moving-in quantity and the moving-out quantity in each conveying sub-area in each fixed time period T and sending the article moving-in quantity and the moving-out quantity in each conveying sub-area to the management server;
the management server is used for receiving the positions of the transport vehicles sent by the UWB position module, comparing the received positions of the transport vehicles sent by the UWB position module with the corresponding position areas of the transport sub-areas to screen out the number of the transport sub-area where each transport vehicle is located, and sending the screened numbers of the transport sub-areas corresponding to each transport vehicle to the area data statistics module;
and receives the article carrying-in quantity and the article carrying-out quantity in each carrying sub-area sent by the area data statistical module, and counting the moving-in and moving-out ratio in each transportation subarea, judging whether the ratio of the number of the transportation subareas with the moving-in and moving-out ratio larger than the first parameter to the number of the transportation subareas with the moving-in and moving-out ratio smaller than the second parameter is within 0.6-1.3, counting the number of the current transport vehicles in the transportation subareas with the moving-in and moving-out ratio larger than the first parameter and the transportation subareas with the moving-in and moving-out ratio smaller than the second parameter and counting the sum of the number of the types of the current articles to be transported in each transportation subarea, the ratio of the sum of the article types to the number of the transport vehicles is obtained to obtain the average transport times of each transport vehicle, sending the counted average transportation times of each transport vehicle in the transportation subarea with the moving-in and moving-out ratio larger than the first parameter and the transportation subarea with the moving-in and moving-out ratio smaller than the second parameter to a vehicle scheduling module;
the regional data counting module is used for receiving the numbers of the transportation subregions corresponding to the transportation sent by the management server, counting the times of occurrence of the numbers of the transportation subregions so as to accumulate the number of the transport vehicles in the transportation subregions and sending the counted number of the transport vehicles in the transportation subregions to the management server;
the vehicle scheduling module is used for receiving the average transportation times of each transport vehicle in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter sent by the management server, extracting the transportation time corresponding to the transportation subarea from the article type storage area to the area of the destination where the article type needs to be carried in the area storage database, respectively counting the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter, sequencing the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from large to small, and sequencing the time sum required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from small to large, and the transportation track of each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter and the track from each transportation subarea to other transportation subareas are sent to the w quantity of transportation vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter corresponding to the sequence number, and the w quantity of transportation vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter are guided to the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter corresponding to the number.
2. The UWB-based vehicle dispatch optimization system of claim 1, wherein: when the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter is not within 0.6-1.3, the numerical values of the first parameter are sequentially reduced by the same numerical value and the numerical value of the second parameter is increased until the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter in the sub-transport areas is within 0.6-1.3.
3. A UWB-based vehicle scheduling optimization method is characterized in that: the method comprises the following steps:
s1, dividing the area to be transported into a plurality of transportation sub-areas according to the types of the transported articles, wherein the transportation sub-areas are respectively 1,2, n, and n represents the number of the sub-areas to be transported;
s3, acquiring the number of the types of the articles carried in and the number of the types of the articles carried out in each transportation subarea in a fixed time period T;
s4, counting the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in each conveying subarea, namely the carrying-in and carrying-out ratio, wherein the carrying-in and carrying-out ratio of a certain conveying subarea is equal to the ratio of the number of the types of the articles carried in and the number of the types of the articles carried out in the conveying subarea in a fixed time period T;
s5, counting the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter in each transportation subarea, and counting the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in each transportation subarea;
s6, judging whether the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter in the sub-transport areas is between 0.6 and 1.3, if so, executing a step S7;
s7, respectively counting the number of the current transport vehicles in the transport subareas with the carrying-in and carrying-out ratio larger than the first parameter and the number of the types of the current articles to be transported in the transport subareas with the carrying-in and carrying-out ratio smaller than the second parameter;
s8, counting the ratio of the sum of the types of the articles to be transported in the transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter to the transport vehicle, and counting the ratio of the sum of the types of the articles in the transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter to the transport vehicle;
s9, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio larger than a first parameter from the article type storage area to the area of the destination where the article type needs to be carried, respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, acquiring the time required by the transport vehicles in each transportation subarea with the carrying-in and carrying-out ratio smaller than a second parameter from the article type storage area to the area of the destination where the article type needs to be carried, and respectively counting the time required by the accumulated transportation of each vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter;
s10, acquiring the sum of the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter, sequencing and numbering the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being larger than the first parameter and the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being smaller than the second parameter from large to small, wherein the time and the sequence are respectively U1, U2,. the Um and the Um are respectively represented as the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio being m and the carrying-in and carrying-out ratio being larger than the first parameter, acquiring the time and the sum required by the accumulated transportation of each transport vehicle, sequencing the time required by the accumulated transportation of each transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter and the time required by the accumulated transportation of each transport vehicle in the transportation subareas from large to small, wherein the time and the sequence are respectively V1, V2,. once, Vm and Vm, and the time and the sequence are m, and the carrying-in and carrying-out ratio is smaller than the transportation subarea with the second parameter;
s11, extracting the positions of the conveying sub-regions corresponding to the sequence numbers U1, U2,., Um and the transportation trajectories in the conveying sub-regions corresponding to the sequence numbers U1, U2,. and Um, and extracting the trajectories between the conveying sub-regions corresponding to the sequence number Uk and the conveying sub-regions corresponding to the sequence number Vk, where k is 1,2,. and m;
s12, extracting transport vehicles in the conveying sub-regions corresponding to the sequence numbers V1, V2, and Vm according to the fixed transport vehicle number w, and respectively sending the conveying tracks in the conveying sub-regions corresponding to the sequence numbers U1, U2, and Um, the positions of the conveying sub-regions corresponding to the Um, the numbers U1, U2, and the like, and the tracks between the two conveying sub-regions corresponding to the same sequence number to the transport vehicles in the V1, V2, and the like and Vm conveying sub-regions corresponding to the same sequence number, wherein w is smaller than any one value of a1, a2, and the like;
s13, executing step S9, judging whether the difference between the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio larger than the first parameter from the article type storage area to the area where the article type is required to be transported and the time required by the transport vehicle in each transportation subarea with the carrying-in and carrying-out ratio smaller than the second parameter from the article type storage area to the area where the article type is required to be transported is smaller than a preset time threshold value, if so, increasing the fixed transport vehicle number w by the same value in sequence, the difference between the time required for the transport vehicle in each transport sub-area with the carrying-in/out ratio larger than the first parameter to reach the area from the article type storage area to the destination to which the article type is to be transported and the time required for the transport vehicle in each transport sub-area with the carrying-in/out ratio smaller than the second parameter to reach the area from the article type storage area to the destination to which the article type is to be transported is smaller than a preset time threshold.
4. The UWB-based vehicle scheduling optimization method of claim 3 wherein: the value of the first parameter is greater than the value of the second parameter.
5. The UWB-based vehicle scheduling optimization method of claim 3 wherein: the sum of the time required for transporting each vehicle is equal to the ratio of the sum of the number of the types of the articles to be transported in the transport sub-area to the transport vehicle, and the ratio is multiplied by the time required for the transport vehicle to travel from the storage area for the types of the articles to the area where the types of the articles are to be transported.
6. The UWB-based vehicle scheduling optimization method of claim 3 wherein: and (4) acquiring and counting the number of the transportation subareas with the carrying-in and carrying-out ratio larger than the first parameter in each transportation subarea and counting the number of the transportation subareas with the carrying-in and carrying-out ratio smaller than the second parameter in each transportation subarea in a fixed time period T, and executing the steps S6-S13.
7. The UWB-based vehicle scheduling optimization method of claim 3 wherein: if the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter is not between 0.6 and 1.3, sequentially reducing the numerical value of the first parameter by the same numerical value and increasing the numerical value of the second parameter, and executing the step S5 until the ratio of the number of the sub-transport areas with the carrying-in and carrying-out ratio larger than the first parameter to the number of the sub-transport areas with the carrying-in and carrying-out ratio smaller than the second parameter is between 0.6 and 1.3.
CN201911020438.5A 2019-10-25 2019-10-25 UWB-based vehicle scheduling optimization system and method thereof Active CN110782088B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911020438.5A CN110782088B (en) 2019-10-25 2019-10-25 UWB-based vehicle scheduling optimization system and method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911020438.5A CN110782088B (en) 2019-10-25 2019-10-25 UWB-based vehicle scheduling optimization system and method thereof

Publications (2)

Publication Number Publication Date
CN110782088A true CN110782088A (en) 2020-02-11
CN110782088B CN110782088B (en) 2022-07-05

Family

ID=69387783

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911020438.5A Active CN110782088B (en) 2019-10-25 2019-10-25 UWB-based vehicle scheduling optimization system and method thereof

Country Status (1)

Country Link
CN (1) CN110782088B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113534783A (en) * 2020-04-15 2021-10-22 北京旷视机器人技术有限公司 Distribution method and device of transport vehicles in warehouse and electronic equipment
CN113554250A (en) * 2020-04-23 2021-10-26 北京京东乾石科技有限公司 Information processing method and device for transport vehicle
CN114735459A (en) * 2022-05-10 2022-07-12 厦门海辰新能源科技有限公司 Automatic transfer system and automatic transfer method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090327011A1 (en) * 2008-06-30 2009-12-31 Autonomous Solutions, Inc. Vehicle dispatching method and system
CN107958364A (en) * 2017-12-21 2018-04-24 惠龙易通国际物流股份有限公司 A kind of logistics user behavior pattern analysis and processing method and system
CN108320493A (en) * 2018-01-31 2018-07-24 域通全球成都科技有限责任公司 Vehicle dispatching management information system in a kind of field based on image recognition
CN109063998A (en) * 2018-07-24 2018-12-21 北京摩拜科技有限公司 Vehicle dispatching method and Vehicle Dispatch Administration equipment
CN109377145A (en) * 2018-12-18 2019-02-22 赖玲玲 A kind of commodity intelligent distribution management system
CN110084481A (en) * 2019-03-29 2019-08-02 北京摩拜科技有限公司 Monitor the method, apparatus and server of vehicle-state

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090327011A1 (en) * 2008-06-30 2009-12-31 Autonomous Solutions, Inc. Vehicle dispatching method and system
CN107958364A (en) * 2017-12-21 2018-04-24 惠龙易通国际物流股份有限公司 A kind of logistics user behavior pattern analysis and processing method and system
CN108320493A (en) * 2018-01-31 2018-07-24 域通全球成都科技有限责任公司 Vehicle dispatching management information system in a kind of field based on image recognition
CN109063998A (en) * 2018-07-24 2018-12-21 北京摩拜科技有限公司 Vehicle dispatching method and Vehicle Dispatch Administration equipment
CN109377145A (en) * 2018-12-18 2019-02-22 赖玲玲 A kind of commodity intelligent distribution management system
CN110084481A (en) * 2019-03-29 2019-08-02 北京摩拜科技有限公司 Monitor the method, apparatus and server of vehicle-state

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113534783A (en) * 2020-04-15 2021-10-22 北京旷视机器人技术有限公司 Distribution method and device of transport vehicles in warehouse and electronic equipment
CN113554250A (en) * 2020-04-23 2021-10-26 北京京东乾石科技有限公司 Information processing method and device for transport vehicle
CN114735459A (en) * 2022-05-10 2022-07-12 厦门海辰新能源科技有限公司 Automatic transfer system and automatic transfer method
CN114735459B (en) * 2022-05-10 2023-09-26 厦门海辰储能科技股份有限公司 Automatic conveying system and automatic conveying method

Also Published As

Publication number Publication date
CN110782088B (en) 2022-07-05

Similar Documents

Publication Publication Date Title
CN110782088B (en) UWB-based vehicle scheduling optimization system and method thereof
Benjaafar Modeling and analysis of congestion in the design of facility layouts
Elsayed Algorithms for optimal material handling in automatic warehousing systems
Buzacott Queueing models of kanban and MRP controlled production systems
CN111091328B (en) Warehouse entry management method and management device
CN108681845B (en) Intelligent logistics order dispatching management system based on big data
CN111409997A (en) Transfer robot picking task scheduling method for mobile shelf warehousing system
Zou et al. Robotic sorting systems: Performance estimation and operating policies analysis
Berkley et al. A simulation study of sequencing rules in a kanban‐controlled flow shop
CN110866653A (en) Method and device for optimizing warehouse space based on big data platform
CN107168260B (en) A kind of store management scheduling system of electric-power metering production
CN113177761A (en) E-commerce warehousing intelligent scheduling early warning system considering timeliness
CN113408773A (en) Transport vehicle charging scheduling control method and device
Knapp et al. Modeling of automated storage/retrieval systems using Petri nets
CN116664044A (en) Material warehouse-in and warehouse-out scheduling system
CN113033971B (en) Server, and waybill scheduling method, medium and device of delivery robot
CN206955007U (en) A kind of mobile goods collecting system based on robot
CN109669767A (en) A kind of task encapsulation and dispatching method and system towards polymorphic type Context-dependent
CN111985699A (en) Dispatching method and device for chemical transportation
Bertolini et al. A dynamic operative framework for allocation in automated storage and retrieval systems
CN109242138A (en) The same automatic movement system of city cargo based on stack task management
CN113343166A (en) Logistics inventory management system based on discrete event simulation
Clausen et al. Analysis of assignment rules in a manually operated distribution warehouse
CN112987708B (en) Dispatching method and device for automatic guided transport vehicle
CN112882448B (en) Hanging bag type logistics system control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant