Multi-region package management system based on intelligent book logistics
Through the intelligent multi-region parting management system of book logistics, combined with the greedy algorithm, the analysis and packaging of book orders is solved, and the problems of inaccurate logistics management and high packaging costs in the existing technology are improved, and the accuracy and packaging efficiency of logistics management are improved. .
Patent Information
- Application Number
- CN202411108062.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-13
- Publication Date
- 2024-12-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing book logistics management technology lacks effective analysis of book orders, resulting in unreasonable arrangement of logistics division and packaging orders, reducing the accuracy of logistics management, prone to failure to complete orders, and lacks accurate analysis of different book types. , resulting in high packaging costs and low efficiency.
The intelligent book logistics multi-regional part management system is adopted, including order information acquisition module, route analysis module, transportation queue analysis module and part analysis module. By conducting a comprehensive analysis of the destination, transportation route, remaining packaging time of the book order, Use greedy algorithm to package the package, optimize the combination of packaging order and package.
It improves the accuracy and packaging efficiency of book logistics management, significantly reduces packaging costs, and realizes effective division of book orders and optimization of packaging.
Smart Images
Figure CN119090389A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent book package management, and in particular to a multi-region package management system based on intelligent book logistics. Background Art
[0002] With the rapid development of society, people's spiritual and cultural needs are getting higher and higher. Books are the main reliance of spiritual culture. It is urgent to improve the book purchasing channel. This has higher standards and requirements for book logistics management. The existing technology still has the following shortcomings; The existing technology lacks effective analysis of book orders when conducting book logistics management, and cannot achieve reasonable logistics division and packaging sequence arrangement of book orders, which reduces the accuracy of book logistics management and easily leads to the situation that orders cannot be completed, which is not conducive to the sustainable development of the logistics industry; The existing technology lacks accurate analysis of different types of books when managing book packaging, which easily leads to packaging confusion, increases packaging costs and reduces packaging efficiency. Summary of the invention
[0003] The purpose of the present invention is to provide a multi-regional piece management system based on intelligent book logistics to solve the problems raised in the above-mentioned background technology.
[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solution: Based on the intelligent book logistics multi-regional piece management system, it includes: Order information acquisition module: used to acquire the orders accepted by the target logistics warehouse and obtain the order information corresponding to the target logistics warehouse; Route analysis module: used to analyze the order information corresponding to the target logistics warehouse and obtain the logistics transportation routes corresponding to each book order of the target logistics warehouse; Transport queue analysis module: used to analyze the order information corresponding to the target logistics warehouse and the logistics transportation routes corresponding to each book order of the target logistics warehouse, and obtain each valid sub-transportation queue corresponding to each logistics transportation route; Piece analysis module: used to analyze the package assembly of books corresponding to each valid sub-transportation queue corresponding to each logistics transportation route, and obtain the packaged items corresponding to each logistics point in each valid sub-transportation queue.
[0005] In the preferred embodiment of this solution, the specific implementation method of the order information acquisition module is: Obtain the order corresponding to the target logistics warehouse through the order acceptance panel to obtain the order information of each book order corresponding to the target logistics warehouse; The order information includes the destination, book type, and quantity of each book type corresponding to each book order. and order arrival time , It represents the number of each book order. Indicates the preset numbers of various types of books.
[0006] In the preferred embodiment of this scheme, the specific implementation method of the preliminary analysis module is: Establishing a data extraction relationship between the preliminary analysis module and the database, extracting each logistics transportation route stored in the database and each logistics point corresponding to each logistics transportation route, and extracting the location coordinates corresponding to each logistics point stored in the database; The destination of each book order corresponding to the target logistics warehouse and the location coordinates of each subordinate logistics point corresponding to the target logistics warehouse are matched by the shortest distance, and the logistics points corresponding to each book order of the target logistics warehouse are obtained, and the logistics transportation routes corresponding to each book order of the target logistics warehouse are matched.
[0007] In the preferred embodiment of this scheme, the specific implementation method of the transport queue analysis module is: Establish a data extraction relationship between the transport queue analysis module and the database to extract the ideal transportation time for the target logistics warehouse stored in the database to reach each logistics point corresponding to each logistics transportation route , It is represented by the number of each logistics transportation route. It is represented by the number of each logistics point along the way; Obtain the weather data set corresponding to each logistics transportation route through the meteorological center, where the weather data set includes temperature, humidity and rainfall, extract the transportation time impact coefficient corresponding to each weather data set stored in the database, and obtain the transportation time impact coefficient of each logistics transportation route corresponding to the target logistics warehouse through matching and screening. ; By calculating the formula , calculate the actual transportation time of each logistics transportation route to each logistics point ,in It is expressed as the influence factor of preset actual transportation time; Filter and obtain the actual transportation time of each book order from the target logistics warehouse to the corresponding logistics point
[0008] By calculating the formula , calculate the remaining packing time of each book order in the target logistics warehouse ,in Expressed as standard real time, It is expressed as the preset remaining packaging time influencing factor; According to the remaining packing time of each book order of the target logistics warehouse, the remaining time is arranged from small to large, and the preliminary transportation queue of each book order of the target logistics warehouse is obtained; The preliminary transportation queues of each book order of the target logistics warehouse are divided according to the logistics transportation routes corresponding to each book order of the target logistics warehouse, so as to obtain the preliminary transportation queues of the book orders of the target logistics warehouse corresponding to each logistics transportation route; Create a sub-transportation queue corresponding to the preliminary transportation queue of the book order, take the book order corresponding to the minimum remaining packing time in the preliminary transportation queue of the book order of the logistics transportation route as the head book order of the sub-transportation queue, filter the route logistics points and the preceding route logistics points corresponding to the head book order, filter and obtain the preceding book orders corresponding to the preceding route logistics points, add the preceding book orders to the sub-transportation queue and arrange them after the head book order according to the order of remaining time from small to large and from near to far with respect to the route logistics points corresponding to the head book order, extract the book weight and book volume corresponding to each type of book stored in the database, and calculate the book weight and book volume corresponding to each preceding book order according to the book types corresponding to each preceding book order and the book quantity of each type of book; Get the maximum transport volume and maximum transport weight corresponding to a single transport; The book weights and book volumes of the first book order and each preceding book order in the sub-transport queue are added in sequence. When the next preceding book order is added, the cumulative value of the book weights or the accumulated book volumes of the first book order and each preceding book order that has been added is greater than the maximum transportation volume or maximum transportation weight corresponding to a single transportation, the addition is terminated to obtain a valid sub-transport queue corresponding to the book order preliminary transportation queue; the preceding book order and subsequent preceding book orders are returned to the book order preliminary transportation queue, and new sub-transport queues are established and matched and analyzed in sequence to obtain valid sub-transport queues corresponding to each logistics transportation route.
[0009] In the preferred embodiment of this solution, the specific implementation method of the piece analysis module is: Establish a data extraction relationship between the package analysis module and the database, extract the standard load-bearing volume and standard load-bearing weight corresponding to a single package stored in the database, and calculate the load density corresponding to the single package through the standard load-bearing volume and standard load-bearing weight corresponding to the single package; Extract the book density corresponding to each type of book stored in the database; Each book order in each valid sub-transportation queue is split to obtain the order set of each logistics point in each valid sub-transportation queue, and the book data set corresponding to each book order at each logistics point is screened, wherein the book data set is the book volume and book quality of each type of book corresponding to each book order; Compare and analyze the book density of each type of book corresponding to each book order with the load-bearing density corresponding to a single package. If the book density is greater than the load-bearing density corresponding to a single package, the book weight is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a weight-priority book. If the book density is less than or equal to the load-bearing density corresponding to a single package, the book volume is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a volume-priority book, to obtain various volume-priority books and various quality-priority books; Filter and obtain the book volumes and book qualities of each volume-priority book and each quality-priority book corresponding to each book order in each logistics point, compare the book volume of each volume-priority book with the standard carrying volume corresponding to a single package, if the book volume of the volume-priority book is greater than or equal to the standard carrying volume corresponding to a single package, then package the volume-priority book and obtain the remaining book volume corresponding to the volume-priority book; if the book volume of the volume-priority book is less than the standard carrying volume corresponding to a single package, then do not package the volume-priority book and re-mark the book volume of the volume-priority book as the remaining book volume of the volume-priority book; The book weight of each weight-priority book is compared with the standard carrying weight corresponding to a single package. If the book weight of the weight-priority book is greater than the standard carrying weight corresponding to a single package, the weight-priority book is packaged and the remaining book weight corresponding to the weight-priority book is obtained. If the book weight of the weight-priority book is less than the standard carrying weight corresponding to a single package, the weight-priority book is not packaged and the book weight of the weight-priority book is re-marked as the remaining book weight of the weight-priority book. Obtain statistics on the remaining book volumes of each volume-priority book and the remaining book qualities of each quality-priority book for each book order in each logistics point; Through the greedy algorithm, the remaining book volumes of each volume priority book corresponding to each book order in each logistics point are assembled into packages, and the remaining book weights of each weight priority book corresponding to each book order in each logistics point are assembled into packages; The greedy algorithm arranges the remaining book volumes of each volume priority book corresponding to each book order in each logistics point from large to small according to the remaining book volumes, and obtains the remaining book queues of each volume priority book corresponding to each book order, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each volume priority book corresponding to each book order in sequence from small to large, until the volume of books put into the packing group is equal to the standard carrying volume corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each volume priority book at each logistics point and the book orders corresponding to each book package; The greedy algorithm arranges the remaining book weights of each book order corresponding to each weight priority book in each logistics point from large to small according to the remaining book weights, and obtains the remaining book queues of each book order corresponding to each weight priority book, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each book order corresponding to each weight priority book in sequence from small to large, until the weight of the books put into the packing group is equal to the standard carrying weight corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each weight priority book at each logistics point and the book orders corresponding to each book package; The book types, book orders and book quantities of each book order corresponding to each package are obtained by statistics, which are recorded as the packaging data set corresponding to each package. Books are packaged in the book storage area set according to the packaging data set of each package, and the packages corresponding to each logistics point in each valid sub-transportation queue are obtained by statistics.
[0010] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains the destination and order arrival time corresponding to the book order corresponding to the target logistics warehouse, and performs a comprehensive analysis with the remaining packing time and logistics transportation route corresponding to each book order, thereby obtaining each valid sub-transportation queue corresponding to each logistics transportation route, thereby achieving effective division of book orders and improving the accuracy of book logistics management corresponding to the target logistics warehouse; This paper conducts a comprehensive analysis of the book types corresponding to the book orders, and assembles them into packages according to the greedy algorithm. On the basis of realizing one package corresponding to one type of books, the number of packages is reduced as much as possible, which significantly improves the packaging efficiency and saves the packaging cost. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.
[0012] Figure 1 It is a schematic diagram of module connection of the present invention. DETAILED DESCRIPTION
[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0014] See also Figure 1The present invention provides a technical solution: based on the intelligent book logistics multi-regional piece management system, it includes an order information acquisition module, a route analysis module, a transportation queue analysis module and a piece analysis module: The order information acquisition module is connected to the route analysis module, the route analysis module is connected to the transport queue analysis module, and the transport queue analysis module is connected to the piece analysis module.
[0015] The order information acquisition module is used to acquire the orders accepted by the target logistics warehouse and obtain the order information corresponding to the target logistics warehouse; Furthermore, the specific execution method of the order information acquisition module is: Obtain the order corresponding to the target logistics warehouse through the order acceptance panel to obtain the order information of each book order corresponding to the target logistics warehouse; The order information includes the destination, book type, and quantity of each book type corresponding to each book order. and order arrival time , It represents the number of each book order. Indicates the preset numbers of various types of books.
[0016] The route analysis module is used to analyze the order information corresponding to the target logistics warehouse and obtain the logistics transportation routes corresponding to each book order of the target logistics warehouse; Further, the specific implementation method of the preliminary analysis module is: Establishing a data extraction relationship between the preliminary analysis module and the database, extracting each logistics transportation route stored in the database and each logistics point corresponding to each logistics transportation route, and extracting the location coordinates corresponding to each logistics point stored in the database; The destination of each book order corresponding to the target logistics warehouse and the location coordinates of each subordinate logistics point corresponding to the target logistics warehouse are matched by the shortest distance, and the logistics points corresponding to each book order of the target logistics warehouse are obtained, and the logistics transportation routes corresponding to each book order of the target logistics warehouse are matched.
[0017] The transport queue analysis module is used to analyze the order information corresponding to the target logistics warehouse and the logistics transportation routes corresponding to each book order of the target logistics warehouse, and obtain each valid sub-transportation queue corresponding to each logistics transportation route; Furthermore, the specific implementation of the transport queue analysis module is as follows: Establish a data extraction relationship between the transport queue analysis module and the database to extract the ideal transportation time for the target logistics warehouse stored in the database to reach each logistics point corresponding to each logistics transportation route , It is represented by the number of each logistics transportation route. It is represented by the number of each logistics point along the way; Obtain the weather data set corresponding to each logistics transportation route through the meteorological center, where the weather data set includes temperature, humidity and rainfall, extract the transportation time impact coefficient corresponding to each weather data set stored in the database, and obtain the transportation time impact coefficient of each logistics transportation route corresponding to the target logistics warehouse through matching and screening. ; By calculating the formula , calculate the actual transportation time of each logistics transportation route to each logistics point ,in It is expressed as the influence factor of preset actual transportation time; Filter and obtain the actual transportation time of each book order from the target logistics warehouse to the corresponding logistics point
[0018] By calculating the formula , calculate the remaining packing time of each book order in the target logistics warehouse ,in Expressed as standard real time, It is expressed as the preset remaining packaging time influencing factor; According to the remaining packing time of each book order of the target logistics warehouse, the remaining time is arranged from small to large, and the preliminary transportation queue of each book order of the target logistics warehouse is obtained; The preliminary transportation queues of each book order of the target logistics warehouse are divided according to the logistics transportation routes corresponding to each book order of the target logistics warehouse, so as to obtain the preliminary transportation queues of the book orders of the target logistics warehouse corresponding to each logistics transportation route; Create a sub-transportation queue corresponding to the preliminary transportation queue of the book order, take the book order corresponding to the minimum remaining packing time in the preliminary transportation queue of the book order of the logistics transportation route as the head book order of the sub-transportation queue, filter the route logistics points and the preceding route logistics points corresponding to the head book order, filter and obtain the preceding book orders corresponding to the preceding route logistics points, add the preceding book orders to the sub-transportation queue and arrange them after the head book order according to the order of remaining time from small to large and from near to far with respect to the route logistics points corresponding to the head book order, extract the book weight and book volume corresponding to each type of book stored in the database, and calculate the book weight and book volume corresponding to each preceding book order according to the book types corresponding to each preceding book order and the book quantity of each type of book; Get the maximum transport volume and maximum transport weight corresponding to a single transport; The book weights and book volumes of the first book order and each preceding book order in the sub-transport queue are added in sequence. When the next preceding book order is added, the cumulative value of the book weights or the accumulated book volumes of the first book order and each preceding book order that has been added is greater than the maximum transportation volume or maximum transportation weight corresponding to a single transportation, the addition is terminated to obtain a valid sub-transport queue corresponding to the book order preliminary transportation queue; the preceding book order and subsequent preceding book orders are returned to the book order preliminary transportation queue, and new sub-transport queues are established and matched and analyzed in sequence to obtain valid sub-transport queues corresponding to each logistics transportation route.
[0019] The piece analysis module is used to perform package analysis on the books corresponding to each valid sub-transportation queue corresponding to each logistics transportation route, and obtain the packages corresponding to each logistics point in each valid sub-transportation queue.
[0020] Furthermore, the specific implementation method of the piece analysis module is as follows: Establish a data extraction relationship between the package analysis module and the database, extract the standard load-bearing volume and standard load-bearing weight corresponding to a single package stored in the database, and calculate the load density corresponding to the single package through the standard load-bearing volume and standard load-bearing weight corresponding to the single package; Extract the book density corresponding to each type of book stored in the database; Each book order in each valid sub-transportation queue is split to obtain the order set of each logistics point in each valid sub-transportation queue, and the book data set corresponding to each book order at each logistics point is screened, wherein the book data set is the book volume and book quality of each type of book corresponding to each book order; Compare and analyze the book density of each type of book corresponding to each book order with the load-bearing density corresponding to a single package. If the book density is greater than the load-bearing density corresponding to a single package, the book weight is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a weight-priority book. If the book density is less than or equal to the load-bearing density corresponding to a single package, the book volume is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a volume-priority book, to obtain various volume-priority books and various quality-priority books; Filter and obtain the book volumes and book qualities of each volume-priority book and each quality-priority book corresponding to each book order in each logistics point, compare the book volume of each volume-priority book with the standard carrying volume corresponding to a single package, if the book volume of the volume-priority book is greater than or equal to the standard carrying volume corresponding to a single package, then package the volume-priority book and obtain the remaining book volume corresponding to the volume-priority book; if the book volume of the volume-priority book is less than the standard carrying volume corresponding to a single package, then do not package the volume-priority book and re-mark the book volume of the volume-priority book as the remaining book volume of the volume-priority book; The book weight of each weight-priority book is compared with the standard carrying weight corresponding to a single package. If the book weight of the weight-priority book is greater than the standard carrying weight corresponding to a single package, the weight-priority book is packaged and the remaining book weight corresponding to the weight-priority book is obtained. If the book weight of the weight-priority book is less than the standard carrying weight corresponding to a single package, the weight-priority book is not packaged and the book weight of the weight-priority book is re-marked as the remaining book weight of the weight-priority book. Obtain statistics on the remaining book volumes of each volume-priority book and the remaining book qualities of each quality-priority book for each book order in each logistics point; Through the greedy algorithm, the remaining book volumes of each volume priority book corresponding to each book order in each logistics point are assembled into packages, and the remaining book weights of each weight priority book corresponding to each book order in each logistics point are assembled into packages; The greedy algorithm arranges the remaining book volumes of each volume priority book corresponding to each book order in each logistics point from large to small according to the remaining book volumes, and obtains the remaining book queues of each volume priority book corresponding to each book order, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each volume priority book corresponding to each book order in sequence from small to large, until the volume of books put into the packing group is equal to the standard carrying volume corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each volume priority book at each logistics point and the book orders corresponding to each book package; The greedy algorithm arranges the remaining book weights of each book order corresponding to each weight priority book in each logistics point from large to small according to the remaining book weights, and obtains the remaining book queues of each book order corresponding to each weight priority book, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each book order corresponding to each weight priority book in sequence from small to large, until the weight of the books put into the packing group is equal to the standard carrying weight corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each weight priority book at each logistics point and the book orders corresponding to each book package; The book types, book orders and book quantities of each book order corresponding to each package are obtained by statistics, which are recorded as the packaging data set corresponding to each package. Books are packaged in the book storage area set according to the packaging data set of each package, and the packages corresponding to each logistics point in each valid sub-transportation queue are obtained by statistics.
[0021] Note: The packing order is determined by the remaining packing time of the book orders at the head of each valid sub-transportation queue. The smaller the remaining packing time, the earlier the packing order. The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. Based on the intelligent book logistics multi-regional piece management system, Features: include: Order information acquisition module: used to acquire the orders accepted by the target logistics warehouse and obtain the order information corresponding to the target logistics warehouse; Route analysis module: used to analyze the order information corresponding to the target logistics warehouse and obtain the logistics transportation routes corresponding to each book order of the target logistics warehouse; Transport queue analysis module: used to analyze the order information corresponding to the target logistics warehouse and the logistics transportation routes corresponding to each book order of the target logistics warehouse, and obtain each valid sub-transportation queue corresponding to each logistics transportation route; Piece analysis module: used to analyze the package assembly of books corresponding to each valid sub-transportation queue corresponding to each logistics transportation route, and obtain the packaged items corresponding to each logistics point in each valid sub-transportation queue.
2. According to the multi-regional intelligent book logistics management system of claim 1, Features: The specific implementation method of the order information acquisition module is: Obtain the order corresponding to the target logistics warehouse through the order acceptance panel to obtain the order information of each book order corresponding to the target logistics warehouse; The order information includes the destination, book type, and quantity of each book type corresponding to each book order. and order arrival time , It represents the number of each book order. Indicates the preset numbers of various types of books.
3. According to the multi-regional intelligent book logistics management system of claim 2, Features: The specific implementation method of the preliminary analysis module is as follows: Establishing a data extraction relationship between the preliminary analysis module and the database, extracting each logistics transportation route stored in the database and each logistics point corresponding to each logistics transportation route, and extracting the location coordinates corresponding to each logistics point stored in the database; The destination of each book order corresponding to the target logistics warehouse and the location coordinates of each subordinate logistics point corresponding to the target logistics warehouse are matched by the shortest distance, and the logistics points corresponding to each book order of the target logistics warehouse are obtained, and the logistics transportation routes corresponding to each book order of the target logistics warehouse are matched.
4. According to the intelligent book logistics multi-regional piece management system of claim 3, Features: The specific implementation method of the transport queue analysis module is as follows: Establish a data extraction relationship between the transport queue analysis module and the database to extract the ideal transportation time for the target logistics warehouse stored in the database to reach each logistics point corresponding to each logistics transportation route , It is represented by the number of each logistics transportation route. It is represented by the number of each logistics point along the way; Obtain the weather data set corresponding to each logistics transportation route through the meteorological center, where the weather data set includes temperature, humidity and rainfall, extract the transportation time impact coefficient corresponding to each weather data set stored in the database, and obtain the transportation time impact coefficient of each logistics transportation route corresponding to the target logistics warehouse through matching and screening. ; By calculating the formula , calculate the actual transportation time of each logistics transportation route to each logistics point ,in It is expressed as the influence factor of preset actual transportation time; Filter and obtain the actual transportation time of each book order from the target logistics warehouse to the corresponding logistics point By calculating the formula , calculate the remaining packing time of each book order in the target logistics warehouse ,in Expressed as standard real time, It is expressed as the preset remaining packaging time influencing factor; According to the remaining packing time of each book order of the target logistics warehouse, the remaining time is arranged from small to large, and the preliminary transportation queue of each book order of the target logistics warehouse is obtained; The preliminary transportation queues of each book order of the target logistics warehouse are divided according to the logistics transportation routes corresponding to each book order of the target logistics warehouse, so as to obtain the preliminary transportation queues of the book orders of the target logistics warehouse corresponding to each logistics transportation route; Create a sub-transportation queue corresponding to the preliminary transportation queue of the book order, take the book order corresponding to the minimum remaining packing time in the preliminary transportation queue of the book order of the logistics transportation route as the head book order of the sub-transportation queue, filter the route logistics points and the preceding route logistics points corresponding to the head book order, filter and obtain the preceding book orders corresponding to the preceding route logistics points, add the preceding book orders to the sub-transportation queue and arrange them after the head book order according to the order of remaining time from small to large and from near to far with respect to the route logistics points corresponding to the head book order, extract the book weight and book volume corresponding to each type of book stored in the database, and calculate the book weight and book volume corresponding to each preceding book order according to the book types corresponding to each preceding book order and the book quantity of each type of book; Get the maximum transport volume and maximum transport weight corresponding to a single transport; The book weights and book volumes of the first book order and each preceding book order in the sub-transport queue are added in sequence. When the next preceding book order is added, the cumulative value of the book weights or the accumulated book volumes of the first book order and each preceding book order that has been added is greater than the maximum transportation volume or maximum transportation weight corresponding to a single transportation, the addition is terminated to obtain a valid sub-transport queue corresponding to the book order preliminary transportation queue; the preceding book order and subsequent preceding book orders are returned to the book order preliminary transportation queue, and new sub-transport queues are established and matched and analyzed in sequence to obtain valid sub-transport queues corresponding to each logistics transportation route.
5. According to the multi-regional intelligent book logistics management system of claim 4, Features: The specific implementation method of the component analysis module is as follows: Establish a data extraction relationship between the package analysis module and the database, extract the standard load-bearing volume and standard load-bearing weight corresponding to a single package stored in the database, and calculate the load density corresponding to the single package through the standard load-bearing volume and standard load-bearing weight corresponding to the single package; Extract the book density corresponding to each type of book stored in the database; Each book order in each valid sub-transportation queue is split to obtain the order set of each logistics point in each valid sub-transportation queue, and the book data set corresponding to each book order at each logistics point is screened, wherein the book data set is the book volume and book quality of each type of book corresponding to each book order; Compare and analyze the book density of each type of book corresponding to each book order with the load-bearing density corresponding to a single package. If the book density is greater than the load-bearing density corresponding to a single package, the book weight is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a weight-priority book. If the book density is less than or equal to the load-bearing density corresponding to a single package, the book volume is recorded as the first priority of the package corresponding to this type of book, and this type of book is re-recorded as a volume-priority book, to obtain various volume-priority books and various quality-priority books; Filter and obtain the book volumes and book qualities of each volume-priority book and each quality-priority book corresponding to each book order in each logistics point, compare the book volume of each volume-priority book with the standard carrying volume corresponding to a single package, if the book volume of the volume-priority book is greater than or equal to the standard carrying volume corresponding to a single package, then package the volume-priority book and obtain the remaining book volume corresponding to the volume-priority book; if the book volume of the volume-priority book is less than the standard carrying volume corresponding to a single package, then do not package the volume-priority book and re-mark the book volume of the volume-priority book as the remaining book volume of the volume-priority book; The book weight of each weight-priority book is compared with the standard carrying weight corresponding to a single package. If the book weight of the weight-priority book is greater than the standard carrying weight corresponding to a single package, the weight-priority book is packaged and the remaining book weight corresponding to the weight-priority book is obtained. If the book weight of the weight-priority book is less than the standard carrying weight corresponding to a single package, the weight-priority book is not packaged and the book weight of the weight-priority book is re-marked as the remaining book weight of the weight-priority book. Obtain statistics on the remaining book volumes of each volume-priority book and the remaining book qualities of each quality-priority book for each book order in each logistics point; Through the greedy algorithm, the remaining book volumes of each volume priority book corresponding to each book order in each logistics point are assembled into packages, and the remaining book weights of each weight priority book corresponding to each book order in each logistics point are assembled into packages; The greedy algorithm arranges the remaining book volumes of each volume priority book corresponding to each book order in each logistics point from large to small according to the remaining book volumes, and obtains the remaining book queues of each volume priority book corresponding to each book order, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each volume priority book corresponding to each book order in sequence from small to large, until the volume of books put into the packing group is equal to the standard carrying volume corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each volume priority book at each logistics point and the book orders corresponding to each book package; The greedy algorithm arranges the remaining book weights of each book order corresponding to each weight priority book in each logistics point from large to small according to the remaining book weights, and obtains the remaining book queues of each book order corresponding to each weight priority book, puts the head queue in the remaining book queue into a packing group, and matches the remaining book queues of each book order corresponding to each weight priority book in sequence from small to large, until the weight of the books put into the packing group is equal to the standard carrying weight corresponding to a single package, and then assembles the packages into pieces, and obtains the book packages corresponding to each weight priority book at each logistics point and the book orders corresponding to each book package; The book types, book orders and book quantities of each book order corresponding to each package are obtained by statistics, which are recorded as the packaging data set corresponding to each package. Books are packaged in the book storage area set according to the packaging data set of each package, and the packages corresponding to each logistics point in each valid sub-transportation queue are obtained by statistics.