Logistics order dispatching method and system based on transport capacity calculation

Abstract

The embodiments of the present invention relate to the technical field of logistics management. Specifically, disclosed are a logistics order dispatching method and system based on a transport capacity calculation. The method in the embodiments of the present invention comprises: acquiring logistics order data, and determining a basic required transport capacity; planning a plurality of order delivery routes, and performing a status impact assessment, so as to acquire a status impact score; acquiring dispatching weather data, and performing a weather impact assessment on the dispatching weather data, so as to acquire a weather impact score; acquiring service feedback data, and performing a service impact assessment on the service feedback data, so as to acquire a service impact score; and calculating an optimized required transport capacity, and performing logistics order dispatching on the basis of the optimized required transport capacity. Therefore, a basic required transport capacity is determined on the basis of the number of logistics orders, a route status impact assessment, a weather impact assessment and a service impact assessment are then performed, an optimized required transport capacity is calculated, and the logistics order dispatching is performed on the basis of the optimized required transport capacity, such that logistics order dispatching based on a transport capacity calculation is rationally realized, and the on-time delivery of orders is ensured.

Description

Logistics order dispatching method and system based on transportation capacity calculation Technical Field

[0001] The present invention belongs to the technical field of logistics management, and in particular relates to a logistics order dispatching method and system based on transportation capacity calculation. Background Art

[0002] Logistics management refers to the process of planning, organizing, directing, coordinating, controlling and supervising logistics activities in the process of social reproduction, based on the laws of the flow of material entities, applying the basic principles and scientific methods of management, so as to achieve the best coordination and cooperation among various logistics activities, thereby reducing logistics costs and improving logistics efficiency and economic benefits.

[0003] Logistics order dispatch is a very important aspect of logistics management.

[0004] In existing technologies, logistics order dispatch based on capacity calculations is performed according to a fixed capacity. However, in reality, there are many factors that influence logistics order dispatch. Simply dispatching logistics orders based on a fixed capacity often results in irrational dispatch, affecting on-time delivery of orders. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a logistics order dispatching method and system based on transportation capacity calculation, aiming to solve the problems raised in the background technology.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0007] A logistics order dispatching method based on transport capacity calculation, the method specifically comprising the following steps:

[0008] Obtain logistics order data, count logistics order quantities, conduct basic transportation capacity analysis, and determine basic demand transportation capacity;

[0009] Planning multiple order delivery routes based on the logistics order data, and performing status impact evaluation on the multiple order delivery routes to obtain status impact scores;

[0010] Obtaining dispatch weather data based on the logistics order data, and performing a weather impact evaluation on the dispatch weather data to obtain a weather impact score;

[0011] Obtaining service feedback data based on the logistics order data, and performing a service impact evaluation on the service feedback data to obtain a service impact score;

[0012] The basic demand capacity, the state impact score, the weather impact score and the service impact score are comprehensively considered to calculate the optimized demand capacity, and logistics orders are dispatched according to the optimized demand capacity.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, obtaining logistics order data, counting the number of logistics orders, performing basic transportation capacity analysis, and determining basic required transportation capacity specifically include the following steps:

[0014] Get logistics order data;

[0015] Perform order quantity statistics on the logistics order data to obtain the logistics order quantity;

[0016] Address tagging is performed on the logistics order data to obtain logistics address data;

[0017] Based on the logistics order quantity and the logistics address data, a basic transportation capacity analysis is performed to determine the basic demand transportation capacity.

[0018] As a further limitation of the technical solution of the embodiment of the present invention, planning multiple order delivery routes based on the logistics order data, and performing status impact evaluation on the multiple order delivery routes, and obtaining the status impact score specifically includes the following steps:

[0019] Performing location analysis on the logistics order data to obtain multiple order dispatch locations;

[0020] Planning a plurality of order delivery routes based on the plurality of order dispatch locations;

[0021] Obtaining the route traffic status of multiple order delivery routes;

[0022] According to the traffic conditions of the multiple routes, a state impact evaluation is performed to obtain a state impact score.

[0023] As a further limitation of the technical solution of the embodiment of the present invention, obtaining dispatch weather data based on the logistics order data, and performing weather impact evaluation on the dispatch weather data to obtain the weather impact score specifically includes the following steps:

[0024] Obtaining a dispatch target area based on the logistics order data;

[0025] Obtaining dispatched weather data according to the dispatched target area;

[0026] extracting a plurality of influencing weather data from the dispatched weather data;

[0027] A weather impact evaluation is performed according to the plurality of weather impact data to obtain a weather impact score.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, obtaining service feedback data based on the logistics order data, and performing service impact evaluation on the service feedback data to obtain a service impact score specifically includes the following steps:

[0029] Obtaining service feedback data based on the logistics order data;

[0030] identifying complaint feedback data from the service feedback data;

[0031] Calculate the complaint feedback ratio corresponding to the complaint feedback data;

[0032] Conduct a service impact evaluation based on the complaint feedback ratio and obtain a service impact score.

[0033] A logistics order dispatching system based on transport capacity calculation, comprising a basic transport capacity analysis unit, a state impact evaluation unit, a weather impact evaluation unit, a service impact evaluation unit, and a transport capacity optimization calculation unit, wherein:

[0034] The basic transport capacity analysis unit is used to obtain logistics order data, count the number of logistics orders, conduct basic transport capacity analysis, and determine the basic demand capacity;

[0035] a status impact evaluation unit, configured to plan a plurality of order delivery routes based on the logistics order data, and perform status impact evaluation on the plurality of order delivery routes to obtain status impact scores;

[0036] a weather impact evaluation unit, configured to obtain dispatch weather data based on the logistics order data, and perform a weather impact evaluation on the dispatch weather data to obtain a weather impact score;

[0037] a service impact evaluation unit, configured to obtain service feedback data based on the logistics order data, and perform a service impact evaluation on the service feedback data to obtain a service impact score;

[0038] The capacity optimization calculation unit is used to comprehensively calculate the basic demand capacity, the state impact score, the weather impact score and the service impact score to optimize the demand capacity, and dispatch logistics orders according to the optimized demand capacity.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, the basic capacity analysis unit specifically includes:

[0040] Order acquisition module, used to obtain logistics order data;

[0041] The order quantity statistics module is used to perform order quantity statistics on the logistics order data and obtain the logistics order quantity;

[0042] An address marking module is used to mark the address of the logistics order data and obtain logistics address data;

[0043] The basic analysis module is used to perform basic capacity analysis based on the logistics order quantity and the logistics address data to determine the basic required capacity.

[0044] As a further limitation of the technical solution of the embodiment of the present invention, the state impact assessment unit specifically includes:

[0045] A location analysis module, configured to perform location analysis on the logistics order data and obtain multiple order dispatch locations;

[0046] a route planning module, configured to plan a plurality of order delivery routes based on the plurality of order dispatch locations;

[0047] A status acquisition module, used to obtain the route traffic status of multiple order delivery routes;

[0048] The state impact evaluation module is used to perform state impact evaluation according to the traffic states of the multiple routes and obtain state impact scores.

[0049] As a further limitation of the technical solution of the embodiment of the present invention, the weather impact assessment unit specifically includes:

[0050] A region acquisition module, used to acquire a dispatch target region based on the logistics order data;

[0051] A weather acquisition module, configured to acquire assigned weather data according to the assigned target area;

[0052] A weather extraction module, configured to extract a plurality of influencing weather data from the assigned weather data;

[0053] The weather impact evaluation module is used to evaluate the weather impact according to the plurality of weather impact data and obtain a weather impact score.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] The embodiments of the present invention obtain logistics order data to determine basic required capacity; plan multiple order delivery routes, perform status impact evaluations, and obtain status impact scores; obtain dispatch weather data and perform weather impact evaluations on the dispatch weather data to obtain weather impact scores; obtain service feedback data and perform service impact evaluations on the service feedback data to obtain service impact scores; calculate optimized required capacity, and dispatch logistics orders based on the optimized required capacity. After determining basic required capacity based on the number of logistics orders, the system performs route status impact evaluations, weather impact evaluations, and service impact evaluations, calculates optimized required capacity, and dispatches logistics orders based on the optimized required capacity. This system enables reasonable dispatch of logistics orders based on capacity calculations, ensuring on-time delivery of orders. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0057] FIG1 shows a flow chart of a method provided by an embodiment of the present invention.

[0058] FIG2 shows a flow chart of basic capacity analysis in the method provided by an embodiment of the present invention.

[0059] FIG3 shows a flowchart of performing status impact assessment in the method provided by an embodiment of the present invention.

[0060] FIG4 shows a flow chart of weather impact assessment in the method provided by an embodiment of the present invention.

[0061] FIG5 shows a flowchart of performing service impact evaluation in the method provided by an embodiment of the present invention.

[0062] FIG6 shows an application architecture diagram of a system provided by an embodiment of the present invention.

[0063] FIG7 shows a structural block diagram of a basic capacity analysis unit in a system provided by an embodiment of the present invention.

[0064] FIG8 shows a structural block diagram of a state impact evaluation unit in a system provided by an embodiment of the present invention.

[0065] FIG9 shows a structural block diagram of a weather impact assessment unit in a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0067] It is understandable that in the existing technology, logistics order dispatch based on capacity calculation is to dispatch logistics orders according to fixed capacity. However, in actual logistics order dispatch, there are many factors that affect capacity. Simply dispatching logistics orders according to fixed capacity will often result in unreasonable dispatch and affect the timely delivery of orders.

[0068] To address the above issues, embodiments of the present invention obtain logistics order data, count the number of logistics orders, perform basic transportation capacity analysis, and determine basic demanded transportation capacity. Based on the logistics order data, multiple order delivery routes are planned, and status impact evaluations are performed on the multiple order delivery routes to obtain status impact scores. Based on the logistics order data, dispatch weather data is obtained, and weather impact evaluations are performed on the dispatched weather data to obtain weather impact scores. Based on the logistics order data, service feedback data is obtained, and service impact evaluations are performed on the service feedback data to obtain service impact scores. The optimized demanded transportation capacity is calculated by combining the basic demanded transportation capacity, status impact scores, weather impact scores, and service impact scores, and logistics orders are dispatched according to the optimized demanded transportation capacity. After determining the basic demanded transportation capacity based on the number of logistics orders, the route status impact evaluations, weather impact evaluations, and service impact evaluations are performed to calculate the optimized demanded transportation capacity. Logistics orders are dispatched according to the optimized demanded transportation capacity, thereby rationally implementing logistics order dispatch based on transportation capacity calculation and ensuring on-time delivery of orders.

[0069] FIG1 shows a flow chart of a method provided by an embodiment of the present invention.

[0070] Specifically, the logistics order dispatching method based on transportation capacity calculation includes the following steps:

[0071] Step S101: Obtain logistics order data, count the number of logistics orders, perform basic transportation capacity analysis, and determine the basic demand transportation capacity.

[0072] In an embodiment of the present invention, by periodically recording orders, obtaining logistics order data, and performing order quantity statistics on the logistics order data, obtaining the logistics order quantity, and performing address marking on the logistics order data, obtaining the logistics address data, based on the logistics order quantity and logistics address data, and then combining the logistics order quantity and logistics address data, a basic transportation capacity demand analysis is performed to determine the basic demand transportation capacity.

[0073] Specifically, FIG2 shows a flowchart of basic capacity analysis in the method provided by an embodiment of the present invention.

[0074] In a preferred embodiment of the present invention, obtaining logistics order data, counting the number of logistics orders, performing basic transportation capacity analysis, and determining basic required transportation capacity specifically include the following steps:

[0075] Step S1011, obtaining logistics order data;

[0076] Step S1012: performing order quantity statistics on the logistics order data to obtain the logistics order quantity;

[0077] Step S1013, address tagging the logistics order data to obtain logistics address data;

[0078] Step S1014: Based on the logistics order quantity and the logistics address data, a basic transportation capacity analysis is performed to determine the basic required transportation capacity.

[0079] In step S1014, the calculation formula of the basic required transport capacity is expressed as:

[0080] Among them, F represents the basic demand capacity, O d Indicates the total number of logistics orders, D f represents the address distribution factor, T w represents the time weight factor, E e represents the distribution efficiency, S h Indicates the effective working hours of the delivery time.

[0081] It should be noted that the basic demand capacity F represents the most basic transportation capacity required to complete all orders, and is used to guide enterprises on how to adjust their transportation resources to meet the needs of order delivery. d , represents the total number of orders that need to be delivered within a certain period of time. For the address distribution factor D f , address distribution factor D f It reflects the dispersion of order addresses. If the order addresses are relatively concentrated, D f The value of will be smaller; if the order addresses are scattered, then D f The value of will be relatively large, which helps to evaluate the complexity and cost of the delivery route. w , this factor takes into account the order's requirements for delivery time. If the customer has strict requirements for delivery time, or the order needs to be delivered quickly, then T w On the contrary, if the time requirement is relatively loose, then T w The value will be smaller.

[0082] Furthermore, the logistics order dispatching method based on transportation capacity calculation further includes the following steps:

[0083] Step S102: planning a plurality of order delivery routes based on the logistics order data, and performing status impact evaluation on the plurality of order delivery routes to obtain status impact scores.

[0084] In an embodiment of the present invention, by performing location analysis on logistics order data, the delivery addresses corresponding to multiple orders are obtained, and according to the multiple delivery addresses, a dispatch matching analysis is performed to determine multiple order dispatch locations. Then, according to the preset logistics dispatch starting point and the multiple order dispatch locations, the order delivery route planning is performed to generate multiple order delivery routes. Moreover, by navigating the multiple order delivery routes, the route traffic status of the multiple order delivery routes is obtained, and the influencing factors of the multiple route traffic status are extracted (including: congestion, control, road construction, etc.), and the transportation process of the logistics order dispatch is evaluated for the status impact, and the status impact score is obtained.

[0085] Specifically, FIG3 shows a flowchart of performing status impact assessment in the method provided by an embodiment of the present invention.

[0086] In a preferred embodiment of the present invention, planning multiple order delivery routes based on the logistics order data, and performing status impact evaluation on the multiple order delivery routes, and obtaining the status impact score specifically include the following steps:

[0087] Step S1021, performing location analysis on the logistics order data to obtain multiple order dispatch locations;

[0088] Step S1022, planning a plurality of order delivery routes based on the plurality of order dispatch locations;

[0089] Step S1023, obtaining the route traffic status of the plurality of order delivery routes;

[0090] Step S1024: perform a status impact evaluation based on the traffic status of the multiple routes to obtain a status impact score.

[0091] Step S1024 specifically includes the following sub-steps:

[0092] Step S1024a, obtaining a real-time traffic congestion index of the current delivery route, an average driving speed of the current delivery route, and an estimated delay time of the current delivery route based on the route traffic status;

[0093] Step S1024b: Calculate the status impact score based on the real-time traffic congestion index of the current delivery route, the average driving speed of the current delivery route, and the expected delay time of the current delivery route.

[0094] The calculation formula of the status impact score is expressed as:

[0095] Among them, S represents the state impact score, ω1, ω2 and ω3 represent weight coefficients, C represents the real-time traffic congestion index of the current delivery route, and C max Indicates the maximum value of traffic congestion index, C min represents the minimum value of the traffic congestion index, V represents the average driving speed of the current delivery route, and V max represents the maximum speed limit of the delivery route, D represents the expected delay time of the current delivery route, and D max Indicates the preset maximum acceptable delay time.

[0096] It's important to note that the state impact score (S) is a comprehensive metric used to quantify the traffic conditions along an order delivery route. A higher S score indicates more favorable traffic conditions for fast delivery. The weight coefficients ω1, ω2, and ω3 balance the importance of each component in the formula, summing to 1. The specific values ​​can be adjusted based on actual needs.

[0097] Furthermore, the logistics order dispatching method based on transportation capacity calculation further includes the following steps:

[0098] Step S103: Obtain dispatch weather data based on the logistics order data, and perform weather impact evaluation on the dispatch weather data to obtain a weather impact score.

[0099] In an embodiment of the present invention, the dispatch area of ​​the logistics order data is identified to determine the dispatch target area, and then the dispatch target area is used as the address to obtain the dispatch weather data of the dispatch target area from the meteorological forecast data. The dispatch weather data is identified and multiple weather influencing data (including: rain, haze, snow, low temperature, etc.) are extracted from the dispatch weather data. According to the multiple weather influencing data, a weather impact evaluation is performed to obtain a weather impact score.

[0100] Specifically, FIG4 shows a flow chart of weather impact assessment in the method provided by an embodiment of the present invention.

[0101] In a preferred embodiment of the present invention, obtaining dispatch weather data based on the logistics order data, and performing a weather impact evaluation on the dispatch weather data to obtain a weather impact score specifically include the following steps:

[0102] Step S1031, obtaining a dispatch target area based on the logistics order data;

[0103] Step S1032, obtaining dispatch weather data according to the dispatch target area;

[0104] Step S1033, extracting a plurality of influencing weather data from the assigned weather data;

[0105] Step S1034: perform a weather impact evaluation based on the plurality of weather impact data to obtain a weather impact score.

[0106] Step S1034 specifically includes the following sub-steps:

[0107] Step S1034a, obtaining the current temperature, current humidity, current wind speed, and current precipitation based on the influencing weather data;

[0108] Step S1034b: Calculate the weather impact score based on the current temperature, current humidity, current wind speed, and current precipitation.

[0109] The calculation formula of weather impact score is expressed as:

[0110] Y=W T ×|TT opt |+W H ×H+W W ×W 2 +W p ×P

[0111] Among them, Y represents the weather impact score, W T 、W H 、W W With W p Respectively represent the weight coefficients corresponding to temperature, humidity, wind speed and precipitation, T represents the current temperature, T opt Indicates the most suitable temperature for delivery, H indicates the current humidity, W indicates the current wind speed, and P indicates the current precipitation.

[0112] It's important to note that the weather impact score Y is a comprehensive metric used to quantify the impact of current weather on logistics and delivery. A higher score indicates a greater adverse impact. Regarding the current humidity H, humidity can affect the performance of packaging materials and the storage status of goods, so this factor should be considered when evaluating the impact of weather on logistics and delivery. Regarding the current wind speed W, the square of the wind speed indicates the degree of wind impact, as the impact of wind on vehicle stability and driving safety is often proportional to the square of the wind speed.

[0113] Furthermore, the logistics order dispatching method based on transportation capacity calculation further includes the following steps:

[0114] Step S104: obtaining service feedback data based on the logistics order data, and performing a service impact evaluation on the service feedback data to obtain a service impact score.

[0115] In an embodiment of the present invention, based on logistics order data, multiple staff members involved in order dispatch are determined, and service feedback data is obtained by obtaining historical dispatch data of the multiple staff members and user evaluations corresponding to the historical dispatch data. Feedback identification is then performed on the service feedback data to determine complaint feedback data in the service feedback data, and the proportion of complaint feedback data in the service feedback data is calculated to obtain the complaint feedback proportion. Then, according to the complaint feedback proportion, a service impact evaluation is performed to obtain a service impact score. The higher the complaint feedback proportion, the more service improvement is needed, and the speed of logistics dispatch needs to be reduced to improve the service quality in the process.

[0116] Specifically, FIG5 shows a flowchart of performing service impact evaluation in the method provided by an embodiment of the present invention.

[0117] In a preferred embodiment of the present invention, obtaining service feedback data based on the logistics order data, and performing a service impact evaluation on the service feedback data to obtain a service impact score specifically include the following steps:

[0118] Step S1041: Obtain service feedback data based on the logistics order data;

[0119] Step S1042: identifying complaint feedback data from the service feedback data;

[0120] Step S1043, calculating the complaint feedback ratio corresponding to the complaint feedback data;

[0121] Step S1044: Perform a service impact evaluation based on the complaint feedback ratio to obtain a service impact score.

[0122] In step S1044, the calculation formula of the service impact score is expressed as:

[0123] Q=100-(C r ×W f ×100)

[0124] Among them, Q represents the service impact score, C r Indicates the proportion of complaint feedback, W f Represents the weighting factor.

[0125] It should be noted that the service impact score Q is a value between 0 and 100, which is used to quantify and evaluate the quality of the service. The higher the score, the less impact the service quality has, that is, the service quality is relatively good; the lower the score, the greater the impact on the service quality. r, represents the proportion of complaints among all service feedback. This value is calculated by dividing the number of complaints by the total number of service feedback. A high proportion of complaint feedback indicates that there are more problems with the service, which may affect service quality.

[0126] Furthermore, the logistics order dispatching method based on transportation capacity calculation further includes the following steps:

[0127] Step S105 , comprehensively calculating the basic demand capacity, the state impact score, the weather impact score, and the service impact score, and performing logistics order dispatch according to the optimized demand capacity.

[0128] In this step, the calculation formula for optimizing demand capacity is expressed as:

[0129] F y =F×(1+S×η s +Y×(1-η Y )+(1-C r )×η C )

[0130] Among them, F y represents the optimized demand capacity, F represents the basic demand capacity, S represents the state impact score, η s represents the state weight factor, Y represents the weather impact score, η Y represents the adjustment coefficient for weather effects, η C Indicates the service weight factor.

[0131] Furthermore, FIG6 shows an application architecture diagram of the system provided by an embodiment of the present invention.

[0132] In another preferred embodiment of the present invention, a logistics order dispatching system based on transportation capacity calculation includes:

[0133] The basic transport capacity analysis unit 101 is used to obtain logistics order data, count the number of logistics orders, perform basic transport capacity analysis, and determine the basic required transport capacity.

[0134] In an embodiment of the present invention, the basic capacity analysis unit 101 obtains logistics order data by periodically recording orders, performs order quantity statistics on the logistics order data, obtains the logistics order quantity, and performs address marking on the logistics order data to obtain the logistics address data. Based on the logistics order quantity and logistics address data, the basic capacity demand analysis is performed on the logistics order quantity and logistics address data, and the basic demand capacity is determined.

[0135] Specifically, FIG7 shows a structural block diagram of the basic capacity analysis unit 101 in the system provided by an embodiment of the present invention.

[0136] In a preferred embodiment of the present invention, the basic transport capacity analysis unit 101 specifically includes:

[0137] The order acquisition module 1011 is used to obtain logistics order data;

[0138] The order quantity statistics module 1012 is used to perform order quantity statistics on the logistics order data and obtain the logistics order quantity;

[0139] An address marking module 1013 is used to mark the address of the logistics order data and obtain logistics address data;

[0140] The basic analysis module 1014 is used to perform basic transportation capacity analysis based on the logistics order quantity and the logistics address data to determine the basic required transportation capacity.

[0141] Furthermore, the logistics order dispatching system based on transportation capacity calculation also includes:

[0142] The status impact evaluation unit 102 is configured to plan a plurality of order delivery routes based on the logistics order data, and perform status impact evaluation on the plurality of order delivery routes to obtain status impact scores.

[0143] In an embodiment of the present invention, the state impact evaluation unit 102 performs location analysis on the logistics order data to obtain the delivery addresses corresponding to multiple orders, and performs dispatch matching analysis according to the multiple delivery addresses to determine multiple order dispatch locations. Then, according to the preset logistics dispatch starting point and the multiple order dispatch locations, the order delivery route is planned to generate multiple order delivery routes. By navigating the multiple order delivery routes, the route traffic status of the multiple order delivery routes is obtained, and the influencing factors of the multiple route traffic status (including congestion, control, road construction, etc.) are extracted. The state impact evaluation is performed on the transportation process of the logistics order dispatch to obtain a state impact score.

[0144] Specifically, FIG8 shows a structural block diagram of the state impact assessment unit 102 in the system provided by an embodiment of the present invention.

[0145] In a preferred embodiment of the present invention, the state impact assessment unit 102 specifically includes:

[0146] A location analysis module 1021 is used to perform location analysis on the logistics order data to obtain multiple order dispatch locations;

[0147] a route planning module 1022 for planning a plurality of order delivery routes based on the plurality of order dispatch locations;

[0148] A status acquisition module 1023 is used to obtain the route traffic status of the plurality of order delivery routes;

[0149] The state impact evaluation module 1024 is configured to perform state impact evaluation according to the traffic states of the multiple routes and obtain a state impact score.

[0150] Furthermore, the logistics order dispatching system based on transportation capacity calculation also includes:

[0151] The weather impact evaluation unit 103 is configured to obtain dispatch weather data based on the logistics order data, and perform weather impact evaluation on the dispatch weather data to obtain a weather impact score.

[0152] In an embodiment of the present invention, the weather impact evaluation unit 103 determines the dispatch target area by identifying the dispatch area of ​​the logistics order data, and then obtains the dispatch weather data of the dispatch target area from the meteorological forecast data using the dispatch target area as the address. The dispatch weather data is identified and multiple influencing weather data (including: rain, haze, snow, low temperature, etc.) are extracted from the dispatch weather data. According to the multiple influencing weather data, a weather impact evaluation is performed to obtain a weather impact score.

[0153] Specifically, FIG9 shows a structural block diagram of the weather impact assessment unit 103 in the system provided by an embodiment of the present invention.

[0154] In a preferred embodiment of the present invention, the weather impact assessment unit 103 specifically includes:

[0155] The area acquisition module 1031 is used to acquire the dispatch target area according to the logistics order data;

[0156] A weather acquisition module 1032 is configured to acquire assigned weather data according to the assigned target area;

[0157] A weather extraction module 1033 is configured to extract a plurality of influencing weather data from the assigned weather data;

[0158] The weather impact evaluation module 1034 is configured to perform weather impact evaluation based on the plurality of weather impact data to obtain a weather impact score.

[0159] Furthermore, the logistics order dispatching system based on transportation capacity calculation also includes:

[0160] The service impact evaluation unit 104 is configured to obtain service feedback data based on the logistics order data, and perform service impact evaluation on the service feedback data to obtain a service impact score.

[0161] In an embodiment of the present invention, the service impact evaluation unit 104 determines multiple staff members involved in order dispatch based on logistics order data, obtains historical dispatch data of the multiple staff members, and obtains user evaluations corresponding to the historical dispatch data, obtains service feedback data therefrom, and then performs feedback identification on the service feedback data to determine the complaint feedback data in the service feedback data, and calculates the proportion of the complaint feedback data in the service feedback data to obtain the complaint feedback proportion, and then performs service impact evaluation according to the complaint feedback proportion to obtain a service impact score, wherein the higher the complaint feedback proportion, the more service improvement is needed, and it is necessary to reduce the speed of logistics dispatch and improve the service quality in the process.

[0162] The capacity optimization calculation unit 105 is used to comprehensively calculate the basic demand capacity, the state impact score, the weather impact score and the service impact score to optimize the demand capacity, and dispatch logistics orders according to the optimized demand capacity.

[0163] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0164] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0165] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0166] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0167] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A logistics order dispatching method based on transport capacity calculation is characterized by: The method specifically comprises the following steps: Obtain logistics order data, count logistics order quantities, conduct basic transportation capacity analysis, and determine basic demand transportation capacity; Planning multiple order delivery routes based on the logistics order data, and performing status impact evaluation on the multiple order delivery routes to obtain status impact scores; Obtaining dispatch weather data based on the logistics order data, and performing a weather impact evaluation on the dispatch weather data to obtain a weather impact score; Obtaining service feedback data based on the logistics order data, and performing a service impact evaluation on the service feedback data to obtain a service impact score; The basic demand capacity, the state impact score, the weather impact score and the service impact score are comprehensively considered to calculate the optimized demand capacity, and logistics orders are dispatched according to the optimized demand capacity.

2. The logistics order dispatching method based on transportation capacity calculation according to claim 1 is characterized in that: The steps of obtaining logistics order data, counting the number of logistics orders, performing basic transportation capacity analysis, and determining basic required transportation capacity specifically include the following steps: Get logistics order data; Perform order quantity statistics on the logistics order data to obtain the logistics order quantity; Address tagging is performed on the logistics order data to obtain logistics address data; Based on the logistics order quantity and the logistics address data, perform basic transportation capacity analysis to determine the basic required transportation capacity; The calculation formula for basic demand capacity is expressed as: Among them, F represents the basic demand capacity, O d Indicates the total number of logistics orders, D f represents the address distribution factor, T w represents the time weight factor, E e represents the distribution efficiency, S h Indicates the effective working hours of the delivery time.

3. The method for dispatching logistics orders based on transport capacity calculation according to claim 2, characterized in that: The step of planning multiple order delivery routes based on the logistics order data, and performing status impact evaluation on the multiple order delivery routes to obtain status impact scores specifically includes the following steps: Performing location analysis on the logistics order data to obtain multiple order dispatch locations; Planning a plurality of order delivery routes based on the plurality of order dispatch locations; Obtaining the route traffic status of multiple order delivery routes; According to the traffic conditions of the multiple routes, a state impact evaluation is performed to obtain a state impact score.

4. The method for dispatching logistics orders based on transport capacity calculation according to claim 3, characterized in that: The method of evaluating the traffic status of the plurality of routes and obtaining the traffic status impact score comprises the following steps: Obtaining a real-time traffic congestion index of the current delivery route, an average driving speed of the current delivery route, and an estimated delay time of the current delivery route based on the route traffic status; The status impact score is calculated based on the real-time traffic congestion index of the current delivery route, the average driving speed of the current delivery route, and the expected delay time of the current delivery route; The calculation formula of the status impact score is expressed as: Among them, S represents the state impact score, ω1, ω2 and ω3 represent weight coefficients, C represents the real-time traffic congestion index of the current delivery route, and C max Indicates the maximum value of traffic congestion index, C min represents the minimum value of the traffic congestion index, V represents the average driving speed of the current delivery route, and V max represents the maximum speed limit of the delivery route, D represents the expected delay time of the current delivery route, and D max Indicates the preset maximum acceptable delay time.

5. The method for dispatching logistics orders based on transport capacity calculation according to claim 4, characterized in that: The step of obtaining dispatch weather data based on the logistics order data, and performing a weather impact evaluation on the dispatch weather data to obtain a weather impact score specifically includes the following steps: Obtaining a dispatch target area based on the logistics order data; Obtaining dispatched weather data according to the dispatched target area; extracting a plurality of influencing weather data from the dispatched weather data; A weather impact evaluation is performed according to the plurality of weather impact data to obtain a weather impact score.

6. The method for dispatching logistics orders based on transport capacity calculation according to claim 5, characterized in that: The method of performing a weather impact assessment based on the plurality of weather impact data and obtaining a weather impact score includes: Obtaining the current temperature, current humidity, current wind speed, and current precipitation based on the influencing weather data; The weather impact score is calculated based on the current temperature, current humidity, current wind speed, and current precipitation; The calculation formula of weather impact score is expressed as: Y=W T ×|T-T opt |+W H ×H+W W ×W 2 +W p ×P Among them, Y represents the weather impact score, W T 、W H 、W W With W p Respectively represent the weight coefficients corresponding to temperature, humidity, wind speed and precipitation, T represents the current temperature, T opt Indicates the most suitable temperature for delivery, H indicates the current humidity, W indicates the current wind speed, and P indicates the current precipitation.

7. The method for dispatching logistics orders based on transport capacity calculation according to claim 6, characterized in that: The step of obtaining service feedback data based on the logistics order data, performing service impact evaluation on the service feedback data, and obtaining a service impact score specifically includes the following steps: Obtaining service feedback data based on the logistics order data; identifying complaint feedback data from the service feedback data; Calculate the complaint feedback ratio corresponding to the complaint feedback data; Conduct a service impact assessment based on the percentage of complaint feedback and obtain a service impact score; The calculation formula of service impact score is expressed as: Q=100-(C r ×W f ×100) Among them, Q represents the service impact score, C r Indicates the proportion of complaint feedback, W f Represents the weighting factor.

8. The method for dispatching logistics orders based on transport capacity calculation according to claim 7, characterized in that: The calculation formula for optimizing demand capacity is expressed as: F y =F×(1+S×η s +Y×(1-η Y )+(1-C r )×η C ) Among them, F y represents the optimized demand capacity, F represents the basic demand capacity, S represents the state impact score, η s represents the state weight factor, Y represents the weather impact score, η Y represents the adjustment coefficient for weather effects, η C Indicates the service weight factor.

9. The logistics order dispatching system based on transportation capacity calculation is characterized by: The system applies the logistics order dispatching method based on transportation capacity calculation according to any one of claims 1 to 8, and includes a basic transportation capacity analysis unit, a state impact evaluation unit, a weather impact evaluation unit, a service impact evaluation unit, and a transportation capacity optimization calculation unit, wherein: The basic transport capacity analysis unit is used to obtain logistics order data, count the number of logistics orders, conduct basic transport capacity analysis, and determine the basic demand capacity; a status impact evaluation unit, configured to plan a plurality of order delivery routes based on the logistics order data, and perform status impact evaluation on the plurality of order delivery routes to obtain status impact scores; a weather impact evaluation unit, configured to obtain dispatch weather data based on the logistics order data, and perform a weather impact evaluation on the dispatch weather data to obtain a weather impact score; a service impact evaluation unit, configured to obtain service feedback data based on the logistics order data, and perform a service impact evaluation on the service feedback data to obtain a service impact score; The capacity optimization calculation unit is used to comprehensively calculate the basic demand capacity, the state impact score, the weather impact score and the service impact score to optimize the demand capacity, and dispatch logistics orders according to the optimized demand capacity.

10. The logistics order dispatching system based on transportation capacity calculation according to claim 9 is characterized in that: The basic capacity analysis unit specifically includes: Order acquisition module, used to obtain logistics order data; The order quantity statistics module is used to perform order quantity statistics on the logistics order data and obtain the logistics order quantity; An address marking module is used to mark the address of the logistics order data and obtain logistics address data; A basic analysis module, configured to perform basic transport capacity analysis based on the logistics order quantity and the logistics address data, and determine basic required transport capacity; The state impact assessment unit specifically includes: A location analysis module, configured to perform location analysis on the logistics order data and obtain multiple order dispatch locations; a route planning module, configured to plan a plurality of order delivery routes based on the plurality of order dispatch locations; A status acquisition module, used to obtain the route traffic status of multiple order delivery routes; A state impact evaluation module, configured to perform state impact evaluation according to the traffic states of the plurality of routes and obtain a state impact score; The weather impact assessment unit specifically includes: A region acquisition module, used to acquire a dispatch target region based on the logistics order data; A weather acquisition module, configured to acquire assigned weather data according to the assigned target area; A weather extraction module, configured to extract a plurality of influencing weather data from the assigned weather data; The weather impact evaluation module is used to evaluate the weather impact according to the plurality of weather impact data and obtain a weather impact score.

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