Bid method and device for logistics transportation, electronic equipment and readable storage medium

Abstract

The invention provides a bidding method and device for logistics transportation, electronic equipment and a readable storage medium. The bidding method for logistics transportation comprises the steps of determining a target grid set corresponding to a target business district in an H3 spatial index system according to the target business district and a mapping relation table; determining an initial price adjustment coefficient of each grid according to the feature information of the to-be-transported goods in the target grid set and the feature information of each grid in the target grid set; for the to-be-transported goods belonging to the target grid, determining a target price adjustment coefficient of the to-be-transported goods according to the characteristic information of the to-be-transported goods and the initial price adjustment coefficient of the target grid; and determining a target transportation bid of the to-be-transported cargo according to the target price adjustment coefficient of the to-be-transported cargo and the current transportation bid of the to-be-transported cargo. According to the method provided by the invention, the accuracy of logistics transportation bid can be improved, the goodness of fit between the target transportation bid of the to-be-transported goods and the market demand is improved, and the competitiveness of logistics service is enhanced.

Description

Technical Field

[0001] The present application relates to the field of logistics and transportation technology, and in particular to a bidding method, device, electronic device and readable storage medium for logistics and transportation. Background Art

[0002] With the rapid development of the logistics industry, especially in the fields of e-commerce and supply chain management, the demand for logistics transportation is increasing. In urban and regional logistics centers, the distribution of logistics sources is often concentrated in specific business districts, such as logistics parks, wholesale markets, etc. These business districts have gradually become the core areas of logistics activities due to the large volume of goods and concentrated transportation demand.

[0003] Existing logistics and transportation bidding methods are usually calculated based on factors such as distance and time, which makes the logistics and transportation bids inaccurate and unable to fully reflect the actual market situation. This may cause logistics and transportation prices to be too high or too low, affecting the competitiveness of logistics services and user satisfaction. Summary of the invention

[0004] The present application provides a bidding method, device, electronic device and readable storage medium for logistics transportation to solve the problem in the prior art that the logistics transportation bidding is inaccurate and cannot fully reflect the actual market situation.

[0005] In a first aspect, the present application provides a bidding method for logistics transportation, comprising: determining a target grid set corresponding to the target business district in an H3 spatial index system according to a target business district and a mapping relationship table; wherein the target business district is a pre-divided business district, the mapping relationship table is used to indicate the correspondence between the business district and the grid set, and the target grid set includes at least one grid;

[0006] Determine the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set; wherein the characteristic information of the goods to be transported includes basic information of the goods to be transported, supply and demand information of the goods to be transported, characteristic information of the goods to be transported and transaction information of the goods to be transported;

[0007] For the goods to be transported belonging to the target grid, determining the target price adjustment coefficient of the goods to be transported according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid; wherein the target grid is any grid among the at least one grid;

[0008] The target transportation bid of the goods to be transported is determined according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported.

[0009] In a possible design, determining the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set includes:

[0010] Determine a basic price adjustment coefficient for each grid according to the basic information of the goods to be transported in the target grid set, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported, and the transaction information of the goods to be transported;

[0011] For each grid of the at least one grid, an initial price adjustment coefficient of the grid is determined according to the characteristic information of the grid and the basic price adjustment coefficient of the grid.

[0012] In a possible design, determining the initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid includes:

[0013] Determining the adjustment amount of the basic price adjustment coefficient according to the location characteristics of the grid; wherein the location characteristics are used to indicate the location of the grid in the geographical range corresponding to the target grid set;

[0014] Based on the adjustment amount, the basic price adjustment coefficient is adjusted to obtain an initial price adjustment coefficient of the grid.

[0015] In a possible design, the location feature is the straight-line distance between the grid and the central grid, and the central grid is the grid where the center of the target business district is located.

[0016] In a possible design, the position feature is the type of the grid, and the type of the grid is a main circle grid, a secondary circle grid, or a side circle grid.

[0017] In a possible design, before determining the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table, the method further includes:

[0018] Get the shipping point location of the transported goods;

[0019] Clustering the shipping point locations to obtain multiple business districts; wherein the target business district is any one of the multiple business districts;

[0020] For any business district among the multiple business districts, the mapping relationship table is established based on the geographical scope of the business district and the H3 spatial index system.

[0021] In a possible design, the geographical scope of the grid set corresponding to the business district covers the geographical scope of the business district, and there is an overlapping area between the geographical scope of each grid in the grid set corresponding to the business district and the geographical scope of the business district.

[0022] In a second aspect, the present application provides a bidding device for logistics transportation, including: a module for executing the method described in the first aspect or various possible designs of the first aspect.

[0023] In a third aspect, the present application provides an electronic device, including: a memory and at least one processor;

[0024] The memory stores computer-executable instructions;

[0025] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method described in the first aspect or various possible designs of the first aspect.

[0026] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed, the method described in the first aspect or various possible designs of the first aspect is implemented.

[0027] The bidding method for logistics transportation provided in the embodiment of the present application first determines the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table; by using the H3 spatial index system to perform fine grid division on the business district, and establishing a mapping relationship between the business district and the grid unit of the H3 spatial index system, the logistics transportation bidding process can accurately consider the geographical characteristics of each business district, and because the H3 spatial index system has a flexible hierarchical division capability, it can select a suitable grid level according to the size and geographical scope of the business district, thereby ensuring that the geographical scope of the business district can be accurately covered, avoiding the problem of inaccurate logistics transportation bidding due to inadequate consideration of the geographical scope of the business district; secondly, according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set, the initial price adjustment coefficient of each grid is determined, and the characteristic information of the goods to be transported includes The method includes not only the basic information of the goods to be transported, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported and the transaction information of the goods to be transported; the bidding method for logistics transportation of the present application not only takes into account the basic factors of the goods to be transported, but also takes into account the supply and demand factors, characteristic factors and transaction factors of the goods to be transported, so that the logistics transportation bid is more in line with the actual market demand and avoids the problem of high or low logistics transportation bid; finally, for the goods to be transported belonging to the target grid, the target price adjustment coefficient of the goods to be transported is determined according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid, and the target transportation bid of the goods to be transported is determined according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported; by considering the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid where the goods to be transported are located, a more reasonable target transportation bid can be formulated for each goods to be transported. The bidding method for logistics transportation based on the specific characteristics of the business district and market dynamics provided in this application can improve the consistency between the target transportation bid of the goods to be transported and the market demand, thereby improving the rationality of the logistics transportation bid of the goods to be transported, enhancing the competitiveness of logistics services, and improving user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A schematic diagram of a process flow of a bidding method for logistics transportation provided in an embodiment of the present application;

[0029] Figure 2 A schematic diagram of another process flow of a bidding method for logistics transportation provided in an embodiment of the present application;

[0030] Figure 3 A schematic diagram of the structure of a bidding device for logistics transportation provided in an embodiment of the present application;

[0031] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used in the specification of the application are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification, claims and drawings of this application are intended to cover non-exclusive inclusions.

[0034] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase "embodiments" in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0035] In addition, the terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order, and may explicitly or implicitly include one or more of the features.

[0036] In the description of this application, unless otherwise specified, "multiple" and "at least two" mean more than two (including two). Similarly, "multiple groups" and "at least two groups" mean more than two groups (including two).

[0037] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense. For example, "connected" or "connection" can refer to not only physical connection, but also electrical connection or signal connection. For example, it can be directly connected, that is, physically connected, or indirectly connected through at least one intermediate element, as long as the circuit is connected, or it can be the internal connection of two elements; signal connection can refer to signal connection through a circuit or through a media medium, such as radio waves. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0038] In order to make those skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings. It should be noted that different technical features in the present application can be combined with each other without conflict.

[0039] First, the terms involved in one or more embodiments of this specification are explained.

[0040] The H3 spatial indexing system (Hexagonal Hierarchical Geospatial Indexing System) is a geospatial indexing system developed by Uber. It provides an efficient and flexible geospatial data representation method by dividing the earth's surface into a series of hexagonal grid cells with a hierarchical structure.

[0041] Unlike traditional quadrilateral grids (such as longitude and latitude grids), the H3 spatial index system uses hexagonal grid cells to cover the earth's surface. Since the sides of each hexagonal grid cell are equal and each hexagonal grid cell has the same number of neighbors (six), it is more uniform and consistent when calculating adjacency and distance; at the same time, hexagonal grid cells can seamlessly cover the sphere without distortion caused by polar contraction. In addition, since hexagons are closer to circles than quadrilaterals, hexagonal grid cells usually perform better than quadrilateral grids in many geographic calculations, such as coverage, neighborhood search, and spatial clustering.

[0042] The H3 spatial index system adopts a hierarchical structure (Resolution) and supports 16 resolution levels from 0 to 15. Each level of resolution corresponds to hexagonal grid cells of different sizes. The hexagonal grid cells at the low-resolution level are larger and suitable for wide-area geographic data representation, such as global or continental data analysis. The hexagonal grid cells at the high-resolution level are smaller and suitable for detailed geographic data representation, such as analysis within the scope of a city or block. Each lower-resolution hexagonal grid cell can be further divided into seven higher-resolution hexagonal grid cells, forming a hierarchical index structure.

[0043] The H3 spatial index system assigns a unique index code (Index) to each hexagonal grid cell. The index code is a 64-bit integer code. The index code not only uniquely identifies each hexagonal grid cell, but also contains information about the resolution level to which the hexagonal grid cell belongs. Through the index code of the hexagonal grid cell, geospatial data can be quickly located, retrieved, and operated.

[0044] The following is an introduction to the implementation background of the technical solution provided in the embodiments of the present application.

[0045] With the rapid development of the logistics industry, especially in the fields of e-commerce and supply chain management, the demand for logistics transportation is increasing. In urban and regional logistics centers, the distribution of logistics sources is often concentrated in specific business districts, such as logistics parks, wholesale markets, etc. These business districts have gradually become the core areas of logistics activities due to the large volume of goods and concentrated transportation demand.

[0046] In related technologies, logistics and transportation bidding methods are usually calculated based on factors such as distance and time, which results in inaccurate logistics and transportation bidding and is unable to fully reflect the actual market situation. This may cause logistics and transportation prices to be too high or too low, affecting the competitiveness of logistics services and user satisfaction.

[0047] Based on the problems existing in the related technologies, the present application provides a bidding method for logistics transportation. First, according to the target business district and the mapping relationship table, the target grid set corresponding to the target business district in the H3 spatial index system is determined; by using the H3 spatial index system to perform fine grid division on the business district, and establishing a mapping relationship between the business district and the grid unit of the H3 spatial index system, the logistics transportation bidding process can accurately consider the geographical characteristics of each business district, and because the H3 spatial index system has a flexible hierarchical division capability, it can select a suitable grid level according to the size and geographical scope of the business district, thereby ensuring that the geographical scope of the business district can be accurately covered, avoiding the problem of inaccurate logistics transportation bidding due to inadequate consideration of the geographical scope of the business district; secondly, according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set, the initial price adjustment coefficient of each grid is determined, and the goods to be transported The characteristic information includes basic information of the goods to be transported, supply and demand information of the goods to be transported, characteristic information of the goods to be transported and transaction information of the goods to be transported; the bidding method for logistics transportation of the present application not only takes into account the basic factors of the goods to be transported, but also takes into account the supply and demand factors, characteristic factors and transaction factors of the goods to be transported, so that the logistics transportation bid is more in line with the actual market demand and avoids the problem of high or low logistics transportation bid; finally, for the goods to be transported belonging to the target grid, the target price adjustment coefficient of the goods to be transported is determined according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid, and the target transportation bid of the goods to be transported is determined according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported; by considering the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid where the goods to be transported are located, a more reasonable target transportation bid can be formulated for each goods to be transported. The bidding method for logistics transportation based on the specific characteristics of the business district and market dynamics provided in this application can improve the consistency between the target transportation bid of the goods to be transported and the market demand, thereby improving the rationality of the logistics transportation bid of the goods to be transported, enhancing the competitiveness of logistics services, and improving user satisfaction.

[0048] Next, some specific embodiments and drawings are used to describe in detail how the present application solves the problem that the above-mentioned logistics transportation bids are inaccurate and cannot fully reflect the actual market situation.

[0049] Figure 1 A flow chart of a bidding method for logistics transportation provided in an embodiment of the present application. Figure 1 As shown, the bidding method for logistics transportation provided in the embodiment of the present application specifically includes S101 to S104, and S101 to S104 are described in detail below.

[0050] It should be noted that the execution entity of the bidding method for logistics transportation provided in the embodiment of the present application may be a control module.

[0051] S101. The control module determines a target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table.

[0052] Among them, the target business district is a pre-divided business district.

[0053] A business district refers to a specific geographical area where logistics sources and logistics demands are highly concentrated. These geographical areas usually include logistics parks, wholesale markets, large storage centers, etc. They are core areas with frequent logistics activities and large cargo circulation volumes.

[0054] It should be noted that regions with similar logistics demands and characteristics can be divided into a business district based on factors such as geographical proximity, concentration of logistics demands, transportation convenience, market structure, etc., so as to enable unified management and price adjustment of different business districts in the future. The target business district refers to the business district that has been pre-divided and for which logistics transportation bids need to be calculated and adjusted.

[0055] The mapping relationship table is used to indicate the corresponding relationship between the business district and the grid set.

[0056] The mapping relationship table is a tool for storing and managing the corresponding relationship between the business district and the grid set. The mapping relationship table can be a database table, a dictionary structure, or other forms of data structures, which are not specifically limited in this embodiment.

[0057] It should be noted that the geographical scope of each business district can be completely covered by the hexagonal grid units in the H3 spatial index system, and the grid set corresponding to the business district refers to the set of all hexagonal grid units in the H3 spatial index system that can completely cover the business district.

[0058] The mapping relationship table defines the relationship between each business district and its corresponding grid set. In the mapping relationship table, each business district is identified as an independent entry, so that the control module can quickly find the grid set corresponding to the business district according to the business district, which helps to improve the bidding efficiency of the bidding method for logistics transportation in this application.

[0059] It should be noted that in the mapping relationship table, different business districts have different identification information.

[0060] The target grid set includes at least one grid.

[0061] It should be noted that in the mapping relationship table, different business districts correspond to different grid sets. When the geographical scope of the business district is small, or the resolution of the hexagonal grid unit is low, the business district may be covered by only one hexagonal grid unit; when the geographical scope of the business district is large, or the resolution of the hexagonal grid unit is high, the business district may be covered by multiple hexagonal grid units.

[0062] In this embodiment, the business district is refinedly gridded by using the H3 spatial index system, and a mapping relationship between the business district and the grid units of the H3 spatial index system is established, so that the logistics and transportation bidding process can accurately take into account the geographical characteristics of each business district. Since the H3 spatial index system has a flexible hierarchical division capability, the appropriate grid level can be selected according to the size and geographical scope of the business district, thereby ensuring that the geographical scope of the business district can be accurately covered, avoiding the problem of inaccurate logistics and transportation bidding due to inadequate consideration of the geographical scope of the business district.

[0063] S102: The control module determines an initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set.

[0064] Among them, the characteristic information of the goods to be transported includes basic information of the goods to be transported, supply and demand information of the goods to be transported, characteristic information of the goods to be transported and transaction information of the goods to be transported.

[0065] It should be noted that the basic information of the goods to be transported includes the basic attributes and parameters related to the goods to be transported and their transportation. The basic information of the goods to be transported provides basic data support for price calculation and route planning during the logistics transportation process.

[0066] The basic information of the goods to be transported specifically includes the longitude and latitude of the departure place of the goods to be transported, the longitude and latitude of the destination of the goods to be transported, the weight of the goods to be transported, the volume of the goods to be transported, the length of the transport vehicle used to transport the goods to be transported, and the type of transport vehicle used to transport the goods to be transported.

[0067] The types of transport vehicles include trucks, refrigerated trucks, flatbed trucks, etc. Different types of transport vehicles have different transport capabilities and cost standards.

[0068] Based on the longitude and latitude of the departure point and the destination of the goods to be transported, the transportation route and distance of the goods to be transported can be determined. The transportation route, distance, weight and volume of the goods to be transported, as well as the length and type of the transport vehicle used to transport the goods to be transported will affect the initial price adjustment coefficient of the grid where the goods to be transported are located.

[0069] It should be noted that the supply and demand information of the goods to be transported describes the supply and demand status of the logistics market of the goods to be transported within the geographical scope of the target business district. Based on the supply and demand information of the goods to be transported, the market dynamics can be understood, which helps to adjust the bids for the goods to be transported.

[0070] The supply and demand information of the goods to be transported includes the historical supply and demand ratio within the geographical scope of the target business district, transportation feedback information and the median transaction time.

[0071] The historical supply-demand ratio within the geographical scope of the target business district refers to the ratio between the logistics demand (transportation demand for goods to be transported) and the supply (availability of drivers and transportation vehicles for transporting goods to be transported) within the geographical scope of the target business district over the past period of time. The level of the historical supply-demand ratio within the geographical scope of the target business district reflects the saturation and tension of the logistics and transportation market within the geographical scope of the target business district, and affects the logistics and transportation bid within the geographical scope of the target business district. The past period of time can be set by the user, and this embodiment does not specifically limit this. For example, the past period of time can be the past month.

[0072] Transport feedback information refers to the evaluation of the transported goods, the transport routes, the transport difficulty and the transport time of the transported goods by the drivers who transported the transported goods after the transport of the same goods to be transported within the geographical scope of the target business district. Transport feedback information can help predict the driver's enthusiasm and price sensitivity for accepting orders, and thus affect the logistics transport bid within the geographical scope of the target business district.

[0073] The median transaction time refers to the median time required for the goods to be transported within the geographical scope of the target business district to be transported from the release of transportation demand to the completion of transportation.

[0074] In summary, the historical supply-demand ratio, transportation feedback information and median transaction time within the geographical scope of the target business district will affect the initial price adjustment coefficient of the grid where the goods to be transported are located.

[0075] It should be noted that the characteristic information of the goods to be transported is information related to the specific properties and special needs of the goods to be transported, and the characteristic information of the goods to be transported directly affects the difficulty and cost of transportation.

[0076] The characteristic information of the cargo to be transported includes the transportation difficulty of the cargo to be transported, the pollution information of the cargo to be transported, and the special requirements of the cargo to be transported.

[0077] The difficulty of transporting goods refers to the difficulty of transporting different types of goods, which may involve special loading, special vehicle requirements, safety measures during transportation, etc. For example, fragile goods, dangerous goods or oversized goods are more difficult to transport than clothing goods, and require a higher transportation bid to match the transportation risks and requirements.

[0078] The pollution information of the goods to be transported is used to determine whether the goods to be transported are likely to pollute or damage the transport vehicle during transportation. For example, construction materials, sediment, liquid goods, etc. may pollute or damage the interior of the transport vehicle, increase transportation costs, and affect the transportation bid.

[0079] Special requirements for the goods to be transported are used to indicate whether the goods to be transported have special transportation requirements, such as refrigeration, expedited delivery, special protective measures, etc.

[0080] In summary, the transportation difficulty of the goods to be transported, the pollution information of the goods to be transported, and the special needs of the goods to be transported will all affect the initial price adjustment coefficient of the grid where the goods to be transported are located.

[0081] It should be noted that the transaction information of the goods to be transported describes the transaction data and trends within the geographical scope of the target business district within a specific time period. The transaction information of the goods to be transported can reflect the dynamic changes in the logistics and transportation market within the geographical scope of the target business district and affect the logistics and transportation bids.

[0082] The transaction information of the goods to be transported includes time trend data, which refers to the transaction trends of the logistics and transportation market within the geographical scope of the target business district in different time periods, including the transaction situation in each time period of the day, the periodic trend within the week (such as the difference between weekdays and weekends), the changes in holiday transaction volume, and the changes in transaction volume under bad weather.

[0083] It should be noted that the control module determines the initial price adjustment coefficient of each grid based on the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set. The initial price adjustment coefficients of different grids may be the same or different, and this embodiment does not make any specific limitation on this.

[0084] In this embodiment, by comprehensively considering the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported, as well as the characteristic information of the target grid, the logistics transportation bid is not only based on a single information, but is obtained through a comprehensive analysis of multi-dimensional information; the supply and demand information and transaction information of the goods to be transported can reflect the dynamic changes in the current logistics transportation market, and the characteristic information of the goods to be transported can show the transportation difficulty and special needs of the goods to be transported. By comprehensively considering the characteristic information of each grid in the target grid set, as well as the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported in the target grid set, the initial price adjustment coefficient corresponding to each target grid that is closer to the actual logistics transportation market situation can be calculated, so that the logistics transportation bid of the goods to be transported within the geographical scope of the target business district is more in line with the actual market demand, and the problem of high or low logistics transportation bids can be effectively avoided.

[0085] S103: The control module determines a target price adjustment coefficient for the goods to be transported that belong to the target grid according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid.

[0086] The target grid is any grid in the at least one grid.

[0087] It should be noted that the initial price adjustment coefficient of the target grid is mainly based on the overall supply and demand information and historical data of the target grid. However, the specific characteristics of each cargo to be transported make it sensitive to the logistics and transportation market differently. By adjusting the initial price adjustment coefficient in combination with the specific characteristic information of the cargo to be transported, the target price adjustment coefficient of the cargo to be transported is obtained, which further improves the accuracy of the logistics and transportation bids of the cargo to be transported in the target grid, ensuring that the logistics and transportation bids of the cargo to be transported are both reasonable and competitive, thereby attracting more customers and logistics and transportation orders. The logistics and transportation bids are matched with the cargo to be transported, which helps to improve user satisfaction and thus enhance the market competitiveness of logistics services.

[0088] In this embodiment, the initial price adjustment coefficient of the target grid to which the goods to be transported belong is finely adjusted in combination with the characteristic information of the goods to be transported to obtain the target price adjustment coefficient of the goods to be transported, thereby achieving more reasonable and accurate price setting.

[0089] It should be noted that, in the embodiment shown in S102, the control module determines the initial price adjustment coefficient of each grid based on the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported in the target grid set, as well as the characteristic information of each grid in the target grid set. The initial price adjustment coefficient of each grid can reflect the overall logistics and transportation demand and logistics and transportation market conditions in each grid; in the embodiment shown in S103, the characteristic information of the goods to be transported is combined with the initial price adjustment coefficient of the grid where the goods to be transported are located to obtain a more accurate target price adjustment coefficient, that is, the target price adjustment coefficient of the goods to be transported, so that the target price adjustment coefficient of the goods to be transported not only takes into account the market dynamics within the geographical scope of the target business district, but can also be adjusted according to the characteristic information of the goods to be transported, thereby maximizing the optimization of the target transportation bid for the goods to be transported.

[0090] The initial price adjustment coefficient can ensure that the initial price adjustment pricing benchmarks of all goods to be transported within a grid are consistent, thereby maintaining the fairness of logistics and transportation prices within a grid area; and based on the characteristic information of the goods to be transported in the grid, the initial price adjustment coefficient of the grid is adjusted individually to obtain the target price adjustment coefficient of the goods to be transported in the grid, so that the target transportation bid of the goods to be transported can more reasonably reflect the actual transportation cost and market value of the goods to be transported, reduce customer churn caused by unfair or unreasonable logistics and transportation prices, and at the same time enhance the market competitiveness of logistics services.

[0091] S104: The control module determines a target transportation bid for the goods to be transported according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported.

[0092] The current transportation bid of the goods to be transported is the current quotation of the goods to be transported in the target grid.

[0093] It should be noted that the target transport bid for the goods to be transported = the current transport bid for the goods to be transported × the target price adjustment coefficient for the goods to be transported; by multiplying the current transport bid for the goods to be transported by the target price adjustment coefficient for the goods to be transported, the current transport bid for the goods to be transported will be adjusted up or down according to specific conditions, thereby obtaining a target transport bid for the goods to be transported that is more in line with the actual situation.

[0094] When the target price adjustment coefficient of the goods to be transported is greater than 1, it means that the logistics transportation market supply of the goods to be transported is insufficient and / or the logistics transportation of the goods to be transported is difficult, then the target transportation bid of the goods to be transported will be increased accordingly.

[0095] When the target price adjustment coefficient of the goods to be transported is equal to 1, it means that there are no special circumstances that require adjustment for the goods to be transported, and the target transport bid of the goods to be transported is equal to the current transport bid of the goods to be transported.

[0096] When the target price adjustment coefficient of the goods to be transported is less than 1, it means that the logistics and transportation market supply of the goods to be transported is sufficient and / or the logistics and transportation difficulty of the goods to be transported is relatively low, then the target transportation bid of the goods to be transported will be reduced accordingly.

[0097] In this embodiment, the target price adjustment coefficient of the goods to be transported is applied to the current transport bid of the goods to be transported, thereby generating the target transport bid of the goods to be transported, ensuring the flexibility and accuracy of the transport price adjustment of the goods to be transported, and ensuring that the target transport bid of the goods to be transported can reflect the logistics and transportation market conditions and the characteristic information of the goods to be transported.

[0098] In the embodiment of the present application, firstly, according to the target business district and the mapping relationship table, the target grid set corresponding to the target business district in the H3 spatial index system is determined; by using the H3 spatial index system to perform refined grid division on the business district, and establishing a mapping relationship between the business district and the grid unit of the H3 spatial index system, the logistics and transportation bidding process can accurately take into account the geographical characteristics of each business district, and because the H3 spatial index system has a flexible hierarchical division capability, it can select a suitable grid level according to the size and geographical scope of the business district, thereby ensuring that the geographical scope of the business district can be accurately covered, avoiding the problem of inaccurate logistics and transportation bidding due to inadequate consideration of the geographical scope of the business district; secondly, according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set, the initial price adjustment coefficient of each grid is determined, and the characteristic information of the goods to be transported includes the characteristics of the goods to be transported. The basic information of the goods to be transported, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported and the transaction information of the goods to be transported; the bidding method for logistics transportation of the present application not only takes into account the basic factors of the goods to be transported, but also takes into account the supply and demand factors, characteristic factors and transaction factors of the goods to be transported, so that the logistics transportation bid is more in line with the actual market demand and avoids the problem of high or low logistics transportation bid; finally, for the goods to be transported belonging to the target grid, the target price adjustment coefficient of the goods to be transported is determined according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid, and the target transportation bid of the goods to be transported is determined according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported; by considering the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid where the goods to be transported are located, a more reasonable target transportation bid can be formulated for each goods to be transported. The bidding method for logistics transportation based on the specific characteristics of the business district and market dynamics provided in this application can improve the consistency between the target transportation bid of the goods to be transported and the market demand, thereby improving the rationality of the logistics transportation bid of the goods to be transported, enhancing the competitiveness of logistics services, and improving user satisfaction.

[0099] In the above embodiment, the control module needs to determine the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set. Next, the specific process of the control module determining the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set is described in detail.

[0100] Figure 2 A flow chart of a bidding method for logistics transportation provided in an embodiment of the present application. Figure 2 As shown, in a possible embodiment, S102, the control module determines the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set, which can be achieved through S1021 and S1022. S1021 and S1022 are described in detail below.

[0101] S1021. The control module determines a basic price adjustment coefficient for each grid according to basic information of the goods to be transported, supply and demand information of the goods to be transported, characteristic information of the goods to be transported, and transaction information of the goods to be transported in the target grid set.

[0102] Among them, the contents included in the basic information of the goods to be transported, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported and the transaction information of the goods to be transported are detailed in the basic information of the goods to be transported, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported and the transaction information of the goods to be transported in the embodiment shown in S102 above, and will not be repeated in this embodiment.

[0103] It should be noted that the basic price adjustment coefficient of each grid in the target grid set is the same, and the control module can obtain the basic price adjustment coefficient through the basic price adjustment model.

[0104] The basic price adjustment model can be a tree model, such as the LightGBM (Light Gradient Boosting Machine) model.

[0105] In the process of obtaining the basic price adjustment coefficient through the basic price adjustment model, the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported are all used as input features of the basic price adjustment model. The basic price adjustment model outputs the basic price adjustment coefficient based on the input basic information, supply and demand information, characteristic information and transaction information of the goods to be transported.

[0106] The basic price adjustment model outputs the basic price adjustment coefficient based on the input basic information, supply and demand information, characteristic information and transaction information of the goods to be transported. This is an existing method and will not be described in detail in this embodiment.

[0107] In this embodiment, the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported in the target grid set are used to obtain the basic price adjustment coefficient. The basic price adjustment coefficient reflects the adjustment trend of the overall logistics and transportation price based on the characteristics of the goods to be transported and the market supply and demand relationship within the geographical scope corresponding to the target grid set without considering the specific characteristics of the grid.

[0108] S1022: The control module determines, for each grid in the at least one grid, an initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid.

[0109] It should be noted that for each grid in the target grid set, the basic price adjustment coefficient of each grid is further refined in combination with the characteristic information of each grid, to ensure that the final initial price adjustment coefficient of each grid more accurately reflects the unique characteristics of each grid.

[0110] It should be noted that the initial price adjustment coefficient of each grid in the target grid set may be the same or different, and this embodiment does not specifically limit this.

[0111] The control module can obtain the initial price adjustment coefficient through the initial price adjustment model. The initial price adjustment model can be a tree model, such as a LightGBM (Light Gradient Boosting Machine) model.

[0112] In the process of obtaining the initial price adjustment coefficient of each grid through the initial price adjustment model, the characteristic information of each grid and the basic price adjustment coefficient of each grid are used as input features of the initial price adjustment model. The initial price adjustment model outputs the initial price adjustment coefficient of each grid based on the input characteristic information of each grid and the basic price adjustment coefficient of each grid.

[0113] The method in which the initial price adjustment model outputs the initial price adjustment coefficient of each grid based on the input feature information of each grid and the basic price adjustment coefficient of each grid is an existing method and will not be described in detail in this embodiment.

[0114] In this embodiment, the basic price adjustment coefficient of each grid is further adjusted and refined by combining the characteristic information of each grid to obtain the initial price adjustment coefficient of each grid. The initial price adjustment coefficient of each grid can more accurately reflect the unique characteristics of each grid, so as to flexibly respond to special situations in different areas.

[0115] In an embodiment of the present application, the basic price adjustment coefficient of each grid in the target grid set is first calculated based on the basic information, supply and demand information, characteristic information and transaction information of the goods to be transported in the target grid set, and then the basic price adjustment coefficient of each grid is refined and adjusted in combination with the specific characteristic information of each grid in the target grid set, and finally a more accurate initial price adjustment coefficient corresponding to each grid is obtained, which effectively improves the accuracy and adaptability of the logistics and transportation bid adjustment, so that the logistics and transportation bid can more reasonably reflect the dynamics and regional characteristics of the logistics and transportation market, thereby improving market competitiveness and user satisfaction.

[0116] In the above embodiment, for each grid in the target grid set, the control module needs to determine the initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid. Next, the specific process of the control module determining the initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid is described in detail.

[0117] In a possible embodiment, S1022, the control module determines the initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid, which can be achieved through steps a1 and a2. Steps a1 and a2 are described in detail below.

[0118] Step a1: The control module determines the adjustment amount of the basic price adjustment coefficient according to the location characteristics of the grid.

[0119] The location feature is used to indicate the location of the grid in the geographical range corresponding to the target grid set.

[0120] Different geographical locations may have different market supply and demand conditions, transportation convenience or regional characteristics. Therefore, it is necessary to adjust the basic price adjustment coefficient of the grid accordingly according to the position of the grid in the geographical range corresponding to the target grid set, so as to more accurately reflect the unique characteristics of each grid.

[0121] It should be noted that when the control module determines the adjustment amount of the basic price adjustment coefficient based on the location characteristics of the grid, the adjustment amount of the basic price adjustment coefficient of the grid can be determined based on the weight of the geographical location of the grid, and the adjustment amount of the basic price adjustment coefficient of the grid can also be determined based on the area category of the geographical location of the grid. This embodiment does not make any specific limitations on this.

[0122] The weight of the geographical location of the grid depends on the distance between the geographical location of the grid and the central location. The central location refers to the geographical location of the center of the target business district. The closer the distance between the geographical location of the grid and the central location, the higher the weight of the geographical location of the grid; the farther the distance between the geographical location of the grid and the central location, the lower the weight of the geographical location of the grid.

[0123] The area category of the geographical location where the grid is located can be a commercial area, a residential area, an industrial area, etc. By defining the adjustment factor of each area category, the adjustment factor of the grid can be determined according to the area category of the geographical location where the grid is located, and the adjustment amount of the basic price adjustment coefficient of the grid can be determined by applying the adjustment factor of the grid.

[0124] In this embodiment, by considering the geographical location characteristics of the grid, the key role of the geographical location in the logistics and transportation bid adjustment is highlighted, making the logistics and transportation bid adjustment process of the grid more refined and accurate.

[0125] Step a2: The control module adjusts the basic price adjustment coefficient based on the adjustment amount to obtain the initial price adjustment coefficient of the grid.

[0126] After determining the adjustment amount of the basic price adjustment coefficient corresponding to each grid, the basic price adjustment coefficient corresponding to each grid is adjusted according to the adjustment amount of the basic price adjustment coefficient corresponding to each grid, and the adjusted basic price adjustment coefficient is the initial price adjustment coefficient of the grid. In this way, the basic price adjustment coefficient of the grid is corrected to an initial price adjustment coefficient that is closer to the actual situation and can more accurately reflect the pricing needs of the grid.

[0127] It should be noted that the adjustment amount of the basic price adjustment coefficient can be expressed as a percentage. For each grid, the control module can obtain the initial price adjustment coefficient of the grid by multiplying the basic price adjustment coefficient of the grid by the adjustment amount of the basic price adjustment coefficient of the grid.

[0128] For example, the basic price adjustment coefficient of grid A is 1.1, and the adjustment amount of the basic price adjustment coefficient of grid A is 0.9, then the initial price adjustment coefficient of grid A is 1.1×0.9=0.99.

[0129] It should be noted that the adjustment amount of the basic price adjustment coefficient can also be expressed as an absolute value. For each grid, the control module can obtain the initial price adjustment coefficient of the grid by performing a simple addition or subtraction operation on the basic price adjustment coefficient of the grid and the adjustment amount of the basic price adjustment coefficient.

[0130] For example, the basic price adjustment coefficient of the B grid is 1.1, and the adjustment amount of the basic price adjustment coefficient of the B grid is -0.1, then the initial price adjustment coefficient of the B grid is 1.1-0.1=1.

[0131] In the embodiment of the present application, the basic price adjustment coefficient of the grid is finely adjusted by combining the location characteristics of the grid, and finally a more accurate initial price adjustment coefficient is generated, so that the initial price adjustment coefficient of the grid can more accurately reflect the geographical location of the grid and the dynamics of the logistics and transportation market, avoiding the problem of imbalance in logistics and transportation bids due to regional differences, improving the rationality and market adaptability of logistics and transportation bids, and thereby improving the optimization allocation efficiency and market competitiveness of logistics resources.

[0132] In the above embodiment, the control module needs to determine the adjustment amount of the basic price adjustment coefficient corresponding to the grid according to the location characteristics of the grid. Next, a method for implementing the location characteristics of the grid is described.

[0133] In a possible embodiment, the location feature is the straight-line distance between the grid and the central grid, and the central grid is the grid where the center of the target business district is located.

[0134] Among them, the central location of the target business district is determined based on the logistics activity data within the geographical scope of the target business district.

[0135] It should be noted that the center of the target business district is the most intensive or core geographical location within the geographical scope of the target business district. The center of the target business district is obtained by analyzing the logistics activity data within the geographical scope of the target business district. The logistics activity data may include the distribution of the shipping and receiving points of goods, the concentration of logistics demand, order density, and the frequency of transportation routes.

[0136] By setting the center of the target business district at the place where logistics activities are most concentrated within the geographical scope of the target business district, the logistics transportation bid is based on the center of the target business district. According to the straight-line distance between each grid and the grid where the center of the target business district is located, the basic price adjustment coefficient of each grid is adjusted, and then the transportation bid of each grid is adjusted.

[0137] It should be noted that for each grid in the target grid set, the straight-line distance between the grid and the central grid is proportional to the adjustment amount of the basic price adjustment coefficient of the grid. That is, if the grid is far away from the central grid, in order to compensate for the possible increase in logistics costs (such as transportation time, energy consumption, operational complexity, etc.), the adjustment amount of the basic price adjustment coefficient of the grid will increase, which will lead to an increase in the initial price adjustment coefficient of the grid compared to the basic price adjustment coefficient of the grid. On the contrary, if the grid is close to the central grid, the logistics activities of the grid are more convenient and the cost is lower, then the adjustment amount of the grid is relatively small or there is no adjustment.

[0138] In an embodiment of the present application, by considering the straight-line distance between the grid and the central grid, and determining the adjustment amount of the basic price adjustment coefficient of the grid based on the straight-line distance between the grid and the central grid, the logistics and transportation bids can better adapt to the logistics costs and demands of different geographical locations, thereby ensuring the rationality and market competitiveness of the logistics and transportation bids.

[0139] In the above embodiment, the control module needs to determine the adjustment amount of the basic price adjustment coefficient corresponding to the grid according to the location characteristics of the grid. Next, another implementation method of the location characteristics of the grid is described.

[0140] In a possible embodiment, the position feature is a type of grid, and the type of the grid is a main circle grid, a secondary circle grid, or a side circle grid.

[0141] Among them, the main circle grid is located in the core area of ​​the target business district, which is the area with the most concentrated logistics activities within the geographical scope of the target business district; the secondary circle grid is located on the periphery of the main circle grid, which is the secondary concentrated area of ​​logistics activities within the geographical scope of the target business district; the edge circle grid is located at the edge area of ​​the target business district, which is the edge area of ​​logistics activities within the geographical scope of the target business district.

[0142] It should be noted that by classifying the grids in the target grid set according to the type of grid and performing differentiated pricing on different types of grids, resources can be allocated more reasonably.

[0143] In the embodiment of the present application, the location characteristics of the grid are defined as the type of grid, specifically including the main circle grid, the secondary circle grid and the edge circle grid. By classifying the grids, the basic price adjustment coefficient of each type of grid can be adjusted accordingly according to the characteristics of each type of grid and the density of logistics activities. The method shown in this embodiment can make the logistics and transportation bids of each grid more refined and flexible, and can better reflect the demand and logistics costs of the logistics and transportation market within the actual geographical scope of each grid.

[0144] In the above embodiment, the control module needs to determine the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table. In this case, the control module needs to obtain the mapping relationship table first, so as to determine the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table. Next, the method for the control module to obtain the mapping relationship table is described in detail.

[0145] In a possible embodiment, before S101, the control module determines the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table, the control module can obtain the mapping relationship table through steps b1 to b3, and steps b1 to b3 are described in detail below.

[0146] Step b1: The control module obtains the location of the shipping point of the transported goods.

[0147] Among them, the control module collects the shipping point locations of all transported goods in the target area. The shipping point locations of all transported goods in the target area represent the actual logistics activities in the target area over the past period of time, and can provide basic data for subsequent business district division.

[0148] It should be noted that the location of the shipping point of the transported goods can be geographical coordinates (such as longitude and latitude) or other forms, and this embodiment does not specifically limit this.

[0149] The target area may be an area selected by the logistics and transportation bid manager.

[0150] For example, the target area may be the geographical area included in Province B.

[0151] Step b2: The control module clusters the locations of the shipping points to obtain multiple business districts.

[0152] The target business district is any one of the multiple business districts.

[0153] It should be noted that the control module uses a clustering algorithm to perform cluster analysis on the collected shipping point locations of all transported goods, and divides the shipping point locations of all transported goods into multiple business districts, each of which represents a geographical area where logistics activities are relatively concentrated and has similar logistics needs.

[0154] The clustering algorithm may be a K-means clustering algorithm or other clustering algorithms, which is not specifically limited in this embodiment.

[0155] For example, the control module performs cluster analysis on the locations of all the collected shipping points of the transported goods through the K-means clustering algorithm to obtain multiple business districts. The method by which the control module performs cluster analysis on the locations of all the collected shipping points of the transported goods through the K-means clustering algorithm to obtain multiple business districts can refer to the existing method for using the K-means clustering algorithm, which will not be described in detail in this embodiment.

[0156] Step b3: The control module establishes a mapping relationship table for any business district among the multiple business districts based on the geographical scope of the business district and the H3 spatial index system.

[0157] After determining the business district, the control module determines the grid set used to cover each business district according to the geographical scope of each business district and the H3 spatial index system, and establishes a mapping relationship table between each business district and the grid set used to cover each business district.

[0158] In an embodiment of the present application, by performing cluster analysis on the locations of the shipping points of the transported goods, the business district can be dynamically divided according to the actual logistics activity data, making the business district division more accurate; when generating a mapping relationship table between each business district and the grid set corresponding to each business district, not only the geographical scope of the business district is considered, but also the characteristics of the H3 spatial index system are combined, so that the mapping relationship between the business district and the grid is more accurate and clear, so as to facilitate the subsequent adjustment of the logistics transportation bids of each grid.

[0159] In the above embodiment, for any of the multiple business districts, the control module needs to establish a mapping relationship table based on the geographic scope of the business district and the H3 spatial index system. Next, the relationship between a business district and the grid set corresponding to the business district is described in detail.

[0160] In a possible embodiment, the geographical scope of the grid set corresponding to the business district covers the geographical scope of the business district, and there is an overlapping area between the geographical scope of each grid in the grid set corresponding to the business district and the geographical scope of the business district.

[0161] It should be noted that the geographical scope of the grid set corresponding to the business district covers the geographical scope of the business district, which means that all geographical areas within the business district are covered by the grid set corresponding to the business district; that is, each part of the business district can be mapped to a grid in the grid set corresponding to the business district, and no part of the business district is omitted or exceeds the coverage of the grid set corresponding to the business district.

[0162] There is an overlapping area between the geographical scope of each grid in the grid set corresponding to the business district and the geographical scope of the business district, which means that the coverage of a grid in the grid set corresponding to the business district may not only be limited to the boundary of the business district, but may also extend to the external area of ​​the business district.

[0163] For example, the boundary of a business district is a polygonal shape, and the grid is a regular hexagonal shape. In order to cover all parts of the business district, some grids in the grid set corresponding to the business district may cover part of the business district and part of the area outside the business district at the same time.

[0164] In the embodiment of the present application, by ensuring that all geographical ranges of the business district are effectively covered by their corresponding grid sets and allowing overlapping areas between the grid range of the grid set corresponding to the business district and the business district range, omission of the business district area is effectively avoided.

[0165] Figure 3 This is a schematic diagram of the structure of a bidding device for logistics transportation provided in an embodiment of the present application. Figure 3 As shown, the bidding device 300 for logistics transportation provided in this embodiment can exist independently and be used to implement the operations corresponding to the control module in the above method embodiment.

[0166] The bidding device 300 for logistics transportation may include: a transceiver module 301 and a processing module 302. The processing module 302 is used for data processing, and the transceiver module 301 may implement corresponding communication functions. The transceiver module 301 may also be called a communication interface or a communication unit.

[0167] Optionally, the bidding device 300 for logistics transportation may also include a storage unit, which can be used to store instructions and / or data. The processing module 302 can read the instructions and / or data in the storage unit so that the bidding device 300 for logistics transportation implements the steps implemented by the control module in the aforementioned method embodiment.

[0168] The transceiver module 301 is used to execute the reception-related operations of the control module in the foregoing method embodiment, and the processing module 302 is used to execute the processing-related operations of the control module in the foregoing method embodiment.

[0169] Optionally, the transceiver module 301 may include a sending module and a receiving module. The sending module is used to perform the sending operation in the above method embodiment. The receiving module is used to perform the receiving operation in the above method embodiment.

[0170] It should be noted that the bidding device 300 for logistics and transportation may include a sending module but not a receiving module. Alternatively, the bidding device 300 for logistics and transportation may include a receiving module but not a sending module. Specifically, it depends on whether the above scheme executed by the bidding device 300 for logistics and transportation includes a sending action and a receiving action.

[0171] As an example, the bidding device 300 for logistics transportation is used to execute the above Figure 1 Actions performed by the control module in the illustrated embodiment.

[0172] The bidding device 300 for logistics transportation may include a processing module 302 .

[0173] The processing module 302 is used to determine the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table; wherein the target business district is a pre-divided business district, the mapping relationship table is used to indicate the correspondence between the business district and the grid set, and the target grid set includes at least one grid.

[0174] The processing module 302 is further used to determine the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set; wherein the characteristic information of the goods to be transported includes the basic information of the goods to be transported, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported and the transaction information of the goods to be transported.

[0175] The processing module 302 is further used to determine the target price adjustment coefficient of the goods to be transported belonging to the target grid according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid; wherein the target grid is any grid of the at least one grid.

[0176] The processing module 302 is further used to determine the target transportation bid of the goods to be transported according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported.

[0177] It should be understood that the execution of the above corresponding processes by each module has been described in detail in the above method embodiment, and for the sake of brevity, it will not be repeated here.

[0178] The processing module 302 in the above embodiment can be implemented by at least one processor or processor-related circuit. The transceiver module 301 can be implemented by a transceiver or a transceiver-related circuit. The transceiver module 301 can also be called a communication unit or a communication interface. The storage unit can be implemented by at least one memory.

[0179] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown, the electronic device 400 provided in this embodiment includes: a memory 401 and a processor 402 .

[0180] The memory 401 may be an independent physical unit, and may be connected to the processor 402 via a bus 403. The memory 401 and the processor 402 may also be integrated together and implemented by hardware, etc. The memory 401 is used to store program instructions, and the processor 402 calls the program instructions to execute the operations performed by the control module in any of the above method embodiments.

[0181] Optionally, when part or all of the methods of the above embodiments are implemented by software, the electronic device 400 may also include only a processor 402. The memory 401 for storing programs is located outside the electronic device 400, and the processor 402 is connected to the memory through circuits / wires for reading and executing the programs stored in the memory. The processor 402 may be a central processing unit (CPU), a network processor (NP) or a combination of a CPU and a NP. The processor 402 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD) or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL) or any combination thereof.

[0182] The memory 401 may include a volatile memory, such as a random-access memory (RAM); the memory may also include a non-volatile memory, such as a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD); the memory may also include a combination of the above types of memory.

[0183] Exemplarily, the present application provides a chip, comprising: an interface circuit and a logic circuit, wherein the interface circuit is used to receive signals from other chips outside the chip and transmit them to the logic circuit, or to send signals from the logic circuit to other chips outside the chip, and the logic circuit is used to execute the operations performed by the control module in the above method embodiment.

[0184] Illustratively, the present application provides a computer-readable storage medium on which computer program instructions are stored. The computer program instructions are executed by a processor of an electronic device so that the electronic device executes the operations performed by the control module in the above method embodiment.

[0185] Illustratively, the present application provides a computer program product. When the computer program product is executed on an electronic device, the electronic device executes the operations executed by the control module in the above method embodiment.

[0186] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A bidding method for logistics transportation, It is characterized in that The method comprises: According to the target business district and the mapping relationship table, determine the target grid set corresponding to the target business district in the H3 spatial index system; wherein the target business district is a pre-divided business district, the mapping relationship table is used to indicate the corresponding relationship between the business district and the grid set, and the target grid set includes at least one grid; Determine the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set; wherein the characteristic information of the goods to be transported includes basic information of the goods to be transported, supply and demand information of the goods to be transported, characteristic information of the goods to be transported and transaction information of the goods to be transported; For the goods to be transported belonging to the target grid, determining the target price adjustment coefficient of the goods to be transported according to the characteristic information of the goods to be transported and the initial price adjustment coefficient of the target grid; wherein the target grid is any grid among the at least one grid; The target transportation bid of the goods to be transported is determined according to the target price adjustment coefficient of the goods to be transported and the current transportation bid of the goods to be transported.

2. The method according to claim 1, It is characterized in that The step of determining the initial price adjustment coefficient of each grid according to the characteristic information of the goods to be transported in the target grid set and the characteristic information of each grid in the target grid set includes: Determine a basic price adjustment coefficient for each grid according to the basic information of the goods to be transported in the target grid set, the supply and demand information of the goods to be transported, the characteristic information of the goods to be transported, and the transaction information of the goods to be transported; For each grid of the at least one grid, an initial price adjustment coefficient of the grid is determined according to the characteristic information of the grid and the basic price adjustment coefficient of the grid.

3. The method according to claim 2, It is characterized in that The determining the initial price adjustment coefficient of the grid according to the characteristic information of the grid and the basic price adjustment coefficient of the grid includes: Determining the adjustment amount of the basic price adjustment coefficient according to the location characteristics of the grid; wherein the location characteristics are used to indicate the location of the grid in the geographical range corresponding to the target grid set; Based on the adjustment amount, the basic price adjustment coefficient is adjusted to obtain an initial price adjustment coefficient of the grid.

4. The method according to claim 3, It is characterized in that The location feature is the straight-line distance between the grid and the central grid, and the central grid is the grid where the center of the target business district is located.

5. The method according to claim 3, It is characterized in that The position feature is the type of the grid, and the type of the grid is a main circle grid, a secondary circle grid, or a side circle grid.

6. The method according to claim 1, It is characterized in that Before determining the target grid set corresponding to the target business district in the H3 spatial index system according to the target business district and the mapping relationship table, the method further includes: Get the shipping point location of the transported goods; Clustering the shipping point locations to obtain multiple business districts; wherein the target business district is any one of the multiple business districts; For any business district among the multiple business districts, the mapping relationship table is established based on the geographical scope of the business district and the H3 spatial index system.

7. The method according to claim 6, It is characterized in that The geographical scope of the grid set corresponding to the business district covers the geographical scope of the business district, and there is an overlapping area between the geographical scope of each grid in the grid set corresponding to the business district and the geographical scope of the business district.

8. A bidding device for logistics transportation, It is characterized in that include: A module for executing the method according to any one of claims 1 to 7.

9. An electronic device, It is characterized in that include: memory and at least one processor; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the method according to any one of claims 1 to 7 is implemented.

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