Cross-regional logistics order management system and method based on cloud platform

Abstract

The invention relates to the technical field of logistics order management, in particular to a cross-regional logistics order management system and method based on a cloud platform, and the method comprises the steps: constructing a logistics order management cloud platform, analyzing the order matching degree of logistics orders of a logistics point and order delivery personnel, and obtaining a target logistics order set; planning candidate order delivery data of order delivery personnel; obtaining candidate order delivery data, calculating a characteristic time consumption value of an order delivery person in a candidate order delivery route, and carrying out optimization adjustment on a logistics order delivery route of the order delivery person to obtain a target order delivery route; order delivery personnel are dispatched in the current period, the logistics orders in the target logistics order set are delivered, order delivery route information is sent to the order delivery personnel according to the target order delivery route of the order delivery personnel, and the logistics orders in different areas are intelligently managed.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics order management, and in particular to a cross-regional logistics order management system and method based on a cloud platform. Background Art

[0002] Logistics orders involve a variety of products and different modes of transportation, different delivery locations and times, and different corresponding suppliers. This results in huge data for logistics orders, and the characteristics of the cloud platform are suitable for processing large-scale data. The use of the cloud platform brings many benefits to logistics order management, including but not limited to the following: 1. Real-time access to data. The cloud platform allows users in different regions to access and share data in real time, thereby improving information transparency. The logistics status and inventory levels of logistics orders can be updated in real time on the cloud platform; 2. Enhanced flexibility and scalability. The cloud platform enables enterprises to quickly allocate resources and quickly adapt to market changes; 3. Intelligent analysis and decision-making of data. The cloud platform can process large amounts of data to analyze logistics efficiency, transportation costs and delivery times to optimize logistics order decisions.

[0003] In current logistics orders, especially cross-regional logistics orders, it is difficult for a single person to deliver an order. Usually, a delivery person needs to deliver multiple orders, and in the process of delivering orders, the delivery person usually decides the delivery route of the logistics order based on his own thinking. He is unable to intelligently formulate the delivery route based on the actual distance conditions and the actual situation of each logistics delivery. This will cause the delivery personnel to waste a lot of time in the delivery process, which will not only reduce the efficiency of logistics order delivery and user experience, but also may cause safety accidents due to the delivery personnel rushing to deliver on time. Summary of the invention

[0004] The purpose of the present invention is to provide a cross-regional logistics order management system and method based on a cloud platform to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a cross-regional logistics order management method based on a cloud platform, the method comprising:

[0006] Step S100: construct a logistics order management cloud platform, obtain historical delivery order data of order delivery personnel, obtain logistics order data of logistics orders of logistics points, analyze the matching degree between logistics orders of logistics points and orders of order delivery personnel, and obtain a target logistics order set;

[0007] Step S200: obtaining a target logistics order set of a logistics order delivery person, obtaining order location data of the target logistics order set, and planning candidate order delivery data of the order delivery person based on the order location data;

[0008] Step S300: Obtain candidate order delivery data, obtain historical order delivery records of order delivery personnel, obtain candidate order delivery routes from the candidate order delivery data, calculate characteristic time consumption values ​​of order delivery personnel in the candidate order delivery routes, optimize and adjust the routes of order delivery personnel delivering logistics orders, and obtain target order delivery routes;

[0009] Step S400: dispatch order delivery personnel in the current cycle to deliver logistics orders in the target logistics order set, send order delivery route information to the order delivery personnel according to their target order delivery routes, and intelligently manage logistics orders in different areas.

[0010] Furthermore, step S100 includes:

[0011] Step S101: Acquire historical delivery order data of an order delivery person, where the historical delivery order data includes data corresponding to various order attributes of historical logistics orders delivered by the order delivery person;

[0012] Step S102: acquiring logistics order data of each logistics order stored at the logistics point, where the logistics order data includes data corresponding to various order attributes of the logistics order;

[0013] Step S103: According to the data corresponding to each order attribute of the historical logistics orders and the logistics orders of the logistics points, respectively, the historical logistics orders and the logistics orders of the logistics points are vectorized, and the historical logistics orders and the logistics orders are converted into feature vectors;

[0014] Step S104: Calculate the order similarity between each logistics order of the logistics point and each historical logistics order delivered by the order delivery personnel, wherein the order similarity C between the a-th logistics order of the logistics point and the b-th historical logistics order delivered by the order delivery personnel is calculated. ab :

[0015]

[0016] Among them, A represents the feature vector of the a-th logistics order; B represents the feature vector of the b-th historical logistics order;

[0017] Step S105: When the order similarity between the ath logistics order of the logistics point and the bth historical logistics order delivered by the order delivery personnel is greater than a preset order similarity threshold, it is determined that the ath logistics order is similar to the bth historical logistics order, and the bth historical logistics order is recorded as a similar historical logistics order of the ath logistics order;

[0018] Step S106: Get the ath logistics order, and the total number of similar historical logistics orders in each historical logistics order of the order delivery personnel M a , calculate the order matching value P between the a-th logistics order and the order delivery personnel a =(M a / M sum )×δ, where δ represents the success rate of the delivery personnel in delivering logistics orders, M sum Indicates the total number of historical logistics orders delivered by order delivery personnel;

[0019] Step S107: When the order matching degree value between the a-th logistics order and the order delivery personnel is greater than the preset order matching degree threshold, and the a-th logistics order is within the delivery range of the order delivery personnel, it is determined that the a-th logistics order and the order delivery personnel match each other, and several logistics orders in the logistics point that match the order delivery personnel are obtained and aggregated to obtain the target logistics order set of the order delivery personnel.

[0020] Further, step S200 includes:

[0021] Step S201: obtaining a target logistics order set of a logistics order delivery person, and obtaining order location data of the target logistics order set, where the order location data includes the coordinates of the delivery destinations of several logistics orders in the target logistics order set;

[0022] Step S202: Calculate the characteristic distances between several logistics orders, where the characteristic distance L between the αth logistics order and the βth logistics order in the target logistics order set is α,β :

[0023]

[0024] Among them, X α , Y α They are respectively represented as the values ​​of the coordinate point of the αth logistics order on the horizontal and vertical coordinates; X β , Y β They are respectively represented as the corresponding values ​​of the coordinate point of the βth logistics order on the horizontal and vertical coordinates;

[0025] Step S203: Calculate the characteristic delivery distance cost R of the order delivery personnel:

[0026]

[0027] Where n is the total number of logistics orders in the target logistics order; L i,j It is represented as the characteristic distance between the i-th logistics order and the j-th logistics order in the target logistics order set; H i,j is a decision variable. When the jth logistics order is delivered after the ith logistics order, then H i,j =1, otherwise H i,j =0;

[0028] Step S204: According to the coordinates of the delivery destinations of several logistics orders in the target logistics order set, several order delivery routes are planned, and characteristic delivery distance costs when the order delivery personnel deliver the orders along the several order delivery routes are obtained. When the characteristic delivery distance cost when the order delivery personnel deliver the orders along a certain order delivery route is less than a preset distance cost threshold, the certain order delivery route is recorded as a candidate order delivery route;

[0029] Step S205: Acquire and collect the candidate order delivery routes of the order delivery personnel to obtain the candidate order delivery data of the order delivery personnel.

[0030] Furthermore, step S300 includes:

[0031] Step S301: obtaining candidate order delivery data, obtaining a number of candidate order delivery routes from the candidate order delivery data, obtaining an order delivery range of an order delivery person, and obtaining each road within the order delivery range from the number of candidate order delivery routes, wherein one candidate order delivery route consists of a number of roads;

[0032] Step S302: obtaining historical order delivery records of the order delivery personnel, obtaining the time spent by the order delivery personnel on the road from the historical order delivery records, obtaining the historical order delivery records of the order delivery personnel delivering orders on a certain road among the roads from each historical order delivery record of the order delivery personnel, and recording them as a marked historical order delivery record of the certain road;

[0033] Step S303: Calculate the marked delivery rate V of the order delivery personnel on a certain road:

[0034]

[0035] Where m represents the total number of marked historical order delivery records for a certain road; Q z,sum It is represented as the total distance traveled by the order delivery personnel in delivering the logistics order on a certain road in the zth marked historical order delivery record on a certain road; tz,sum It is represented as the total time spent by the order delivery personnel on a certain road in the zth marked historical order delivery record;

[0036] Step S304: Obtain the marked delivery rate of the order delivery personnel on each road, obtain the total delivery distance of the order delivery personnel on several roads in the candidate order delivery routes, and calculate the characteristic time consumption value of the order delivery personnel in several candidate order delivery routes, where the characteristic time consumption value T of the order delivery personnel in the fth candidate order delivery route is f :

[0037]

[0038] Among them, γ represents the total number of roads where the order delivery personnel in the fth candidate order delivery route carry out logistics order delivery; V f,s W is represented as the marked delivery rate on the sth road in the fth candidate order delivery route; f,s It is represented as the total delivery distance of the order delivery personnel on the sth road;

[0039] Step S305: obtaining the minimum value of the characteristic time consumption values ​​of the order delivery personnel in a plurality of candidate order delivery routes, and recording the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel;

[0040] The reason for calculating the marked delivery rate of the order delivery personnel on a certain road in the above steps is that the road conditions of different roads are different. This results in different time consumption of the order delivery personnel even if the delivery distance is the same. By calculating the marked delivery rate of the order delivery personnel on a certain road, the time consumption of the order delivery personnel on different candidate order delivery routes can be more accurately analyzed, so as to find the best order delivery route.

[0041] Furthermore, step S400 includes:

[0042] Step S401: obtaining a target logistics order set of an order delivery person in the current cycle, and obtaining order information of several logistics orders delivered by the order delivery person from the target logistics order set;

[0043] Step S402: Obtain the target order delivery route of the order delivery personnel in the current cycle, and send order delivery route information to the order delivery personnel based on the target order delivery route. The order delivery route information includes the travel route of the order delivery personnel on the order delivery road and the coordinates of the delivery destination of the logistics order, and intelligently manage the logistics orders in different areas.

[0044] In order to better implement the above method, a cross-regional logistics order management system based on a cloud platform is also proposed. The system includes a target logistics order set module, a candidate order delivery data module, a target order delivery route module, and a logistics order intelligent management module;

[0045] The target logistics order set module is used to analyze the matching degree between the logistics orders of the logistics points and the orders of the order delivery personnel to obtain the target logistics order set;

[0046] The candidate order delivery data module is used to obtain the order location data of the target logistics order set, and plan the candidate order delivery data of the order delivery personnel based on the order location data;

[0047] The target order delivery route module is used to obtain the historical order delivery records of the order delivery personnel, obtain the candidate order delivery routes from the candidate order delivery data, calculate the characteristic time consumption value of the order delivery personnel in the candidate order delivery routes, optimize and adjust the routes of the order delivery personnel to deliver logistics orders, and obtain the target order delivery route;

[0048] The logistics order intelligent management module is used to deliver the logistics orders in the target logistics order set, send order delivery route information to the order delivery personnel according to the target order delivery route of the order delivery personnel, and intelligently manage the logistics orders in different areas.

[0049] Further, the target logistics order set module includes an order matching degree value unit and a target logistics order set unit;

[0050] The order matching degree value unit is used to compare the order matching degree values ​​of each logistics order at the logistics point with the order delivery personnel;

[0051] The target logistics order set unit is used to obtain and aggregate several logistics orders in the logistics point that match the order delivery personnel, and obtain the target logistics order set of the order delivery personnel.

[0052] Further, the candidate order delivery data module includes a feature distance unit and a candidate order delivery data unit;

[0053] The second tilted data unit is used to obtain the target logistics order set of the logistics order delivery personnel, obtain the order location data of the target logistics order set, and calculate the characteristic distance between several logistics orders;

[0054] The candidate order delivery data unit is used to acquire and collect the candidate order delivery routes of the order delivery personnel to obtain the candidate order delivery data of the order delivery personnel.

[0055] Further, the target order delivery route module includes a characteristic time consumption value unit and a target order delivery route unit;

[0056] The characteristic time consumption value unit is used to obtain the marked delivery rate of the order delivery personnel on each road and calculate the characteristic time consumption value of the order delivery personnel in several candidate order delivery routes;

[0057] The target order delivery route unit is used to obtain the minimum value of the characteristic time consumption value of the order delivery personnel in several candidate order delivery routes, and record the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel.

[0058] Further, the logistics order intelligent management module includes a logistics order intelligent management unit;

[0059] The logistics order intelligent management unit is used to obtain the target logistics order set of the order delivery personnel in the current cycle, obtain the order information of several logistics orders delivered by the order delivery personnel from the target logistics order set, obtain the target order delivery route of the order delivery personnel in the current cycle, send the order delivery route information to the order delivery personnel based on the target order delivery route, and intelligently manage the logistics orders in different areas.

[0060] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention realizes the intelligent management of logistics orders. The various logistics orders in the logistics point come from different areas, and the delivery destinations of the logistics orders also exist in different areas. Therefore, considering that a delivery personnel needs to deliver multiple orders, the matching degree between the logistics orders of the logistics point and the orders of the order delivery personnel is analyzed, and the logistics orders matching the order delivery personnel are found. According to the coordinates of the delivery destination of the logistics order, several order delivery routes are intelligently planned. At the same time, considering the delivery situation of the order delivery personnel on different order delivery routes, the order delivery routes are optimized, and the order delivery route with the shortest time consumption is found, thereby greatly reducing the time wasted by the delivery personnel in the delivery process. Not only will the efficiency of logistics order delivery be greatly improved, but it will also help to improve users' recognition of logistics companies and realize intelligent management of logistics orders in different areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0062] Figure 1 It is a method flow chart of a cross-regional logistics order management system and method based on a cloud platform of the present invention;

[0063] Figure 2 It is a module schematic diagram of a cross-regional logistics order management system and method based on a cloud platform of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] See also Figure 1-Figure 2 The present invention provides a technical solution: a cross-regional logistics order management method based on a cloud platform, the method comprising:

[0066] Step S100: construct a logistics order management cloud platform, obtain historical delivery order data of order delivery personnel, obtain logistics order data of logistics orders of logistics points, analyze the matching degree between logistics orders of logistics points and orders of order delivery personnel, and obtain a target logistics order set;

[0067] Wherein, step S100 includes:

[0068] Step S101: Acquire historical delivery order data of an order delivery person, where the historical delivery order data includes data corresponding to various order attributes of historical logistics orders delivered by the order delivery person;

[0069] Step S102: acquiring logistics order data of each logistics order stored at the logistics point, where the logistics order data includes data corresponding to various order attributes of the logistics order;

[0070] For example, various order attributes include the weight and type of logistics orders;

[0071] Step S103: According to the data corresponding to each order attribute of the historical logistics orders and the logistics orders of the logistics points, respectively, the historical logistics orders and the logistics orders of the logistics points are vectorized, and the historical logistics orders and the logistics orders are converted into feature vectors;

[0072] Step S104: Calculate the order similarity between each logistics order of the logistics point and each historical logistics order delivered by the order delivery personnel, wherein the order similarity C between the a-th logistics order of the logistics point and the b-th historical logistics order delivered by the order delivery personnel is calculated. ab :

[0073]

[0074] Among them, A represents the feature vector of the a-th logistics order; B represents the feature vector of the b-th historical logistics order;

[0075] Step S105: When the order similarity between the ath logistics order of the logistics point and the bth historical logistics order delivered by the order delivery personnel is greater than a preset order similarity threshold, it is determined that the ath logistics order is similar to the bth historical logistics order, and the bth historical logistics order is recorded as a similar historical logistics order of the ath logistics order;

[0076] Step S106: Get the ath logistics order, and the total number of similar historical logistics orders in each historical logistics order of the order delivery personnel M a , calculate the order matching value P between the a-th logistics order and the order delivery personnel a =(M a / M sum )×δ, where δ represents the success rate of the delivery personnel in delivering logistics orders, M sum Indicates the total number of historical logistics orders delivered by order delivery personnel;

[0077] For example, the success rate of the delivery personnel's delivery logistics orders is expressed as 0.95, and the total number of historical logistics orders delivered by the delivery personnel is M sum It is expressed as 100, the third logistics order, the total number of similar historical logistics orders in each historical logistics order of the order delivery personnel is M3 is 40, calculate the order matching degree value P between the ath logistics order and the order delivery personnel a =(40 / 100)×0.95=0.2375;

[0078] Step S107: When the order matching degree value between the a-th logistics order and the order delivery personnel is greater than the preset order matching degree threshold, and the a-th logistics order is within the delivery range of the order delivery personnel, it is determined that the a-th logistics order and the order delivery personnel match each other, and several logistics orders in the logistics point that match the order delivery personnel are obtained and collected to obtain the target logistics order set of the order delivery personnel;

[0079] Step S200: obtaining a target logistics order set of a logistics order delivery person, obtaining order location data of the target logistics order set, and planning candidate order delivery data of the order delivery person based on the order location data;

[0080] Wherein, step S200 includes:

[0081] Step S201: obtaining a target logistics order set of a logistics order delivery person, and obtaining order location data of the target logistics order set, where the order location data includes the coordinates of the delivery destinations of several logistics orders in the target logistics order set;

[0082] Step S202: Calculate the characteristic distances between several logistics orders, where the characteristic distance L between the αth logistics order and the βth logistics order in the target logistics order set is α,β :

[0083]

[0084] Among them, X α , Y α They are respectively represented as the values ​​of the coordinate point of the αth logistics order on the horizontal and vertical coordinates; X β , Y β They are respectively represented as the corresponding values ​​of the coordinate point of the βth logistics order on the horizontal and vertical coordinates;

[0085] For example, the values ​​X1 and Y2 corresponding to the coordinate point of the first logistics order on the horizontal and vertical coordinates are 3 and 4 respectively; the values ​​X2 and Y2 corresponding to the coordinate point of the second logistics order on the horizontal and vertical coordinates are 5 and 7 respectively;

[0086] Calculate the characteristic distance L between the αth logistics order and the βth logistics order in the target logistics order set 1,2 :

[0087]

[0088] Step S203: Calculate the characteristic delivery distance cost R of the order delivery personnel:

[0089]

[0090] Where n is the total number of logistics orders in the target logistics order; L i,j It is represented as the characteristic distance between the i-th logistics order and the j-th logistics order in the target logistics order set; H i,j is a decision variable. When the jth logistics order is delivered after the ith logistics order, then H i,j =1, otherwise H i,j =0;

[0091] Step S204: According to the coordinates of the delivery destinations of several logistics orders in the target logistics order set, several order delivery routes are planned, and characteristic delivery distance costs when the order delivery personnel deliver the orders along the several order delivery routes are obtained. When the characteristic delivery distance cost when the order delivery personnel deliver the orders along a certain order delivery route is less than a preset distance cost threshold, the certain order delivery route is recorded as a candidate order delivery route;

[0092] Step S205: Acquire and collect candidate order delivery routes of order delivery personnel to obtain candidate order delivery data of order delivery personnel;

[0093] Step S300: Obtain candidate order delivery data, obtain historical order delivery records of order delivery personnel, obtain candidate order delivery routes from the candidate order delivery data, calculate characteristic time consumption values ​​of order delivery personnel in the candidate order delivery routes, optimize and adjust the routes of order delivery personnel delivering logistics orders, and obtain target order delivery routes;

[0094] Wherein, step S300 includes:

[0095] Step S301: obtaining candidate order delivery data, obtaining a number of candidate order delivery routes from the candidate order delivery data, obtaining an order delivery range of an order delivery person, and obtaining each road within the order delivery range from the number of candidate order delivery routes, wherein one candidate order delivery route consists of a number of roads;

[0096] Step S302: obtaining historical order delivery records of the order delivery personnel, obtaining the time spent by the order delivery personnel on the road from the historical order delivery records, obtaining the historical order delivery records of the order delivery personnel delivering orders on a certain road among the roads from each historical order delivery record of the order delivery personnel, and recording them as a marked historical order delivery record of the certain road;

[0097] Step S303: Calculate the marked delivery rate V of the order delivery personnel on a certain road:

[0098]

[0099] Where m represents the total number of marked historical order delivery records for a certain road; Q z,sum It is represented as the total distance traveled by the order delivery personnel in delivering the logistics order on a certain road in the zth marked historical order delivery record on a certain road; t z,sum It is represented as the total time spent by the order delivery personnel on a certain road in the zth marked historical order delivery record;

[0100] Step S304: Obtain the marked delivery rate of the order delivery personnel on each road, obtain the total delivery distance of the order delivery personnel on several roads in the candidate order delivery routes, and calculate the characteristic time consumption value of the order delivery personnel in several candidate order delivery routes, where the characteristic time consumption value T of the order delivery personnel in the fth candidate order delivery route is f :

[0101]

[0102] Among them, γ represents the total number of roads where the order delivery personnel in the fth candidate order delivery route carry out logistics order delivery; V f,s W is represented as the marked delivery rate on the sth road in the fth candidate order delivery route; f,s It is represented as the total delivery distance of the order delivery personnel on the sth road;

[0103] Step S305: obtaining the minimum value of the characteristic time consumption values ​​of the order delivery personnel in a plurality of candidate order delivery routes, and recording the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel;

[0104] Step S400: dispatch order delivery personnel in the current cycle to deliver logistics orders in the target logistics order set, send order delivery route information to the order delivery personnel according to their target order delivery routes, and intelligently manage logistics orders in different areas.

[0105] Wherein, step S400 includes:

[0106] Step S401: obtaining a target logistics order set of an order delivery person in the current cycle, and obtaining order information of several logistics orders delivered by the order delivery person from the target logistics order set;

[0107] For example, order information includes the contact number of the consignor and consignee of a logistics order;

[0108] Step S402: Obtain the target order delivery route of the order delivery personnel in the current cycle, and send order delivery route information to the order delivery personnel based on the target order delivery route. The order delivery route information includes the route of the order delivery personnel on the order delivery road and the coordinates of the delivery destination of the logistics order, and intelligently manage the logistics orders in different areas;

[0109] In order to better implement the above method, a cross-regional logistics order management system based on a cloud platform is also proposed. The system includes a target logistics order set module, a candidate order delivery data module, a target order delivery route module, and a logistics order intelligent management module;

[0110] The target logistics order set module is used to analyze the matching degree between the logistics orders of the logistics points and the orders of the order delivery personnel to obtain the target logistics order set;

[0111] The candidate order delivery data module is used to obtain the order location data of the target logistics order set, and plan the candidate order delivery data of the order delivery personnel based on the order location data;

[0112] The target order delivery route module is used to obtain the historical order delivery records of the order delivery personnel, obtain the candidate order delivery routes from the candidate order delivery data, calculate the characteristic time consumption value of the order delivery personnel in the candidate order delivery routes, optimize and adjust the routes of the order delivery personnel to deliver logistics orders, and obtain the target order delivery route;

[0113] The logistics order intelligent management module is used to deliver the logistics orders in the target logistics order set, send the order delivery route information to the order delivery personnel according to their target order delivery routes, and intelligently manage the logistics orders in different areas;

[0114] Among them, the target logistics order set module includes an order matching degree value unit and a target logistics order set unit;

[0115] The order matching degree value unit is used to compare the order matching degree values ​​of each logistics order at the logistics point with the order delivery personnel;

[0116] The target logistics order set unit is used to obtain and collect several logistics orders that match the order delivery personnel in the logistics point to obtain the target logistics order set of the order delivery personnel;

[0117] Among them, the candidate order delivery data module includes a feature distance unit and a candidate order delivery data unit;

[0118] The second tilted data unit is used to obtain the target logistics order set of the logistics order delivery personnel, obtain the order location data of the target logistics order set, and calculate the characteristic distance between several logistics orders;

[0119] A candidate order delivery data unit is used to obtain and aggregate the candidate order delivery routes of the order delivery personnel to obtain the candidate order delivery data of the order delivery personnel;

[0120] Among them, the target order delivery route module includes a characteristic time consumption value unit and a target order delivery route unit;

[0121] The characteristic time consumption value unit is used to obtain the marked delivery rate of the order delivery personnel on each road and calculate the characteristic time consumption value of the order delivery personnel in several candidate order delivery routes;

[0122] The target order delivery route unit is used to obtain the minimum value of the characteristic time consumption value of the order delivery personnel in a number of candidate order delivery routes, and record the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel;

[0123] Among them, the logistics order intelligent management module includes a logistics order intelligent management unit;

[0124] The logistics order intelligent management unit is used to obtain the target logistics order set of the order delivery personnel in the current cycle, obtain the order information of several logistics orders delivered by the order delivery personnel from the target logistics order set, obtain the target order delivery route of the order delivery personnel in the current cycle, send the order delivery route information to the order delivery personnel based on the target order delivery route, and intelligently manage the logistics orders in different areas.

[0125] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0126] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cross-regional logistics order management method based on a cloud platform, characterized in that: The method comprises: Step S100: construct a logistics order management cloud platform, obtain historical delivery order data of order delivery personnel, obtain logistics order data of logistics orders of logistics points, analyze the matching degree between the logistics orders of logistics points and the orders of the order delivery personnel, and obtain a target logistics order set; Step S200: obtaining a target logistics order set of the logistics order delivery personnel, obtaining order location data of the target logistics order set, and planning candidate order delivery data of the order delivery personnel based on the order location data; Step S300: obtaining the candidate order delivery data, obtaining the historical order delivery records of the order delivery personnel, obtaining the candidate order delivery routes from the candidate order delivery data, calculating the characteristic time consumption value of the order delivery personnel in the candidate order delivery routes, optimizing and adjusting the routes of the order delivery personnel in delivering logistics orders, and obtaining the target order delivery routes; Step S400: dispatching the order delivery personnel in the current cycle to deliver the logistics orders in the target logistics order set, sending order delivery route information to the order delivery personnel according to the target order delivery route of the order delivery personnel, and intelligently managing the logistics orders in different areas.

2. According to the cloud platform-based cross-regional logistics order management method of claim 1, it is characterized in that: The step S100 includes: Step S101: Acquire historical delivery order data of an order delivery person, wherein the historical delivery order data includes data corresponding to various order attributes of historical logistics orders delivered by the order delivery person; Step S102: acquiring logistics order data of each logistics order stored at the logistics point, wherein the logistics order data includes data corresponding to various order attributes of the logistics order; Step S103: performing vector conversion on the historical logistics orders and the logistics orders of the logistics points according to the data corresponding to the order attributes of the historical logistics orders and the logistics orders of the logistics points, respectively, and converting the historical logistics orders and the logistics orders into feature vectors; Step S104: Calculate the order similarity between each logistics order of the logistics point and each historical logistics order delivered by the order delivery personnel, wherein the order similarity C between the a-th logistics order of the logistics point and the b-th historical logistics order delivered by the order delivery personnel is calculated. ab : Wherein, A represents the feature vector of the a-th logistics order; B represents the feature vector of the b-th historical logistics order; Step S105: When the order similarity between the ath logistics order of the logistics point and the bth historical logistics order delivered by the order delivery personnel is greater than a preset order similarity threshold, it is determined that the ath logistics order is similar to the bth historical logistics order, and the bth historical logistics order is recorded as a similar historical logistics order of the ath logistics order; Step S106: Obtain the a-th logistics order and the total number M of similar historical logistics orders in each historical logistics order of the order delivery personnel. a , calculate the order matching value P between the a-th logistics order and the order delivery personnel a =(M a / M sum )×δ, where δ represents the success rate of the delivery personnel in delivering logistics orders, M sum Indicates the total number of historical logistics orders delivered by the order delivery personnel; Step S107: When the order matching degree value between the a-th logistics order and the order delivery personnel is greater than the preset order matching degree threshold, and the a-th logistics order is within the delivery range of the order delivery personnel, it is determined that the a-th logistics order and the order delivery personnel match each other, and several logistics orders in the logistics point that match the order delivery personnel are obtained and aggregated to obtain the target logistics order set of the order delivery personnel.

3. A cross-regional logistics order management method based on a cloud platform according to claim 2, characterized in that: The step S200 includes: Step S201: obtaining a target logistics order set of the logistics order delivery personnel, and obtaining order location data of the target logistics order set, wherein the order location data includes the coordinates of the delivery destinations of several logistics orders in the target logistics order set; Step S202: Calculate the characteristic distances between the multiple logistics orders, where the characteristic distance L between the αth logistics order and the βth logistics order in the target logistics order set is α,β : Among them, X α , Y α They are respectively represented as the corresponding values ​​of the coordinate point of the αth logistics order on the horizontal and vertical coordinates; X β , Y β They are respectively represented as the corresponding values ​​of the coordinate points of the β-th logistics order on the horizontal and vertical coordinates; Step S203: Calculate the characteristic delivery distance cost R of the order delivery personnel: Where n is the total number of logistics orders in the target logistics order; L i,j It is represented as the characteristic distance between the i-th logistics order and the j-th logistics order in the target logistics order set; H i,j is a decision variable. When the jth logistics order is delivered after the ith logistics order, then H i,j =1, otherwise H i,j =0; Step S204: planning a number of order delivery routes according to the coordinates of the delivery destinations of the several logistics orders in the target logistics order set, obtaining characteristic delivery distance costs when the order delivery personnel deliver the orders along the several order delivery routes, and when the characteristic delivery distance cost when the order delivery personnel deliver the orders along a certain order delivery route is less than a preset distance cost threshold, recording the certain order delivery route as a candidate order delivery route; Step S205: Acquire and collect the candidate order delivery routes of the order delivery personnel to obtain the candidate order delivery data of the order delivery personnel.

4. A cross-regional logistics order management method based on a cloud platform according to claim 3, characterized in that: The step S300 includes: Step S301: obtaining the candidate order delivery data, obtaining a plurality of candidate order delivery routes from the candidate order delivery data, obtaining the order delivery range of the order delivery personnel, and obtaining each road within the order delivery range from the plurality of candidate order delivery routes, wherein one candidate order delivery route consists of a plurality of roads; Step S302: obtaining the historical order delivery records of the order delivery personnel, obtaining the time spent by the order delivery personnel on the road from the historical order delivery records, and obtaining the historical order delivery record of the order delivery personnel delivering orders on a certain road among the roads from each historical order delivery record of the order delivery personnel, and recording it as a marked historical order delivery record of the certain road; Step S303: Calculate the marked delivery rate V of the order delivery personnel on a certain road: Wherein, m represents the total number of marked historical order delivery records for the road; Q z,sum It is represented by the total delivery distance of the order delivery personnel delivering the logistics order on the road in the zth marked historical order delivery record on the road; t z,sum It is represented by the total time spent by the order delivery personnel on the certain road in the zth marked historical order delivery record; Step S304: Obtain the marked delivery rate of the order delivery personnel on each road, obtain the total delivery distance of the order delivery personnel on several roads in the candidate order delivery routes, and calculate the characteristic time consumption value of the order delivery personnel in the several candidate order delivery routes, wherein the characteristic time consumption value T of the order delivery personnel in the fth candidate order delivery route is f : Where γ represents the total number of roads where the order delivery personnel in the fth candidate order delivery route perform logistics order delivery; V f,s W is represented as the marked delivery rate in the sth road within the fth candidate order delivery route; f,s It is represented as the total delivery distance of the order delivery personnel within the sth road; Step S305: obtaining the minimum value of the characteristic time consumption values ​​of the order delivery personnel in the plurality of candidate order delivery routes, and recording the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel.

5. A cross-regional logistics order management method based on a cloud platform according to claim 4, characterized in that: The step S400 includes: Step S401: obtaining a target logistics order set of the order delivery personnel in the current cycle, and obtaining order information of several logistics orders delivered by the order delivery personnel from the target logistics order set; Step S402: Obtain the target order delivery route of the order delivery personnel in the current cycle, and send order delivery route information to the order delivery personnel based on the target order delivery route. The order delivery route information includes the travel route of the order delivery personnel on the order delivery road and the coordinates of the delivery destination of the logistics order, and intelligently manage logistics orders in different areas.

6. A cross-regional logistics order management system based on a cloud platform, used to execute a cross-regional logistics order management method based on a cloud platform as described in any one of claims 1 to 5, characterized in that: The system includes a target logistics order set module, a candidate order delivery data module, a target order delivery route module, and a logistics order intelligent management module; The target logistics order set module is used to analyze the matching degree between the logistics order of the logistics point and the order of the order delivery personnel to obtain the target logistics order set; The candidate order delivery data module is used to obtain the order location data of the target logistics order set, and plan the candidate order delivery data of the order delivery personnel based on the order location data; The target order delivery route module is used to obtain the historical order delivery records of the order delivery personnel, obtain the candidate order delivery routes from the candidate order delivery data, calculate the characteristic time consumption value of the order delivery personnel in the candidate order delivery routes, optimize and adjust the routes of the order delivery personnel for delivering logistics orders, and obtain the target order delivery route; The logistics order intelligent management module is used to deliver the logistics orders in the target logistics order set, send order delivery route information to the order delivery personnel according to the target order delivery route of the order delivery personnel, and intelligently manage the logistics orders in different areas.

7. The cross-regional logistics order management system based on a cloud platform according to claim 6 is characterized in that: The target logistics order set module includes an order matching degree value unit and a target logistics order set unit; The order matching degree value unit is used to compare the order matching degree values ​​of each logistics order of the logistics point with the order delivery personnel; The target logistics order set unit is used to acquire and collect several logistics orders in the logistics point that match the order delivery personnel, so as to obtain the target logistics order set of the order delivery personnel.

8. The cross-regional logistics order management system based on a cloud platform according to claim 6 is characterized in that: The candidate order delivery data module includes a feature distance unit and a candidate order delivery data unit; The second tilted data unit is used to obtain the target logistics order set of the logistics order delivery personnel, obtain the order location data of the target logistics order set, and calculate the characteristic distance between the multiple logistics orders; The candidate order delivery data unit is used to acquire and collect the candidate order delivery routes of the order delivery personnel to obtain the candidate order delivery data of the order delivery personnel.

9. The cross-regional logistics order management system based on a cloud platform according to claim 6 is characterized in that: The target order delivery route module includes a characteristic time consumption value unit and a target order delivery route unit; The characteristic time consumption value unit is used to obtain the marked delivery rate of the order delivery personnel on each road and calculate the characteristic time consumption value of the order delivery personnel in a plurality of candidate order delivery routes; The target order delivery route unit is used to obtain the minimum value of the characteristic time consumption value of the order delivery personnel within the several candidate order delivery routes, and record the candidate order delivery route corresponding to the minimum value as the target order delivery route of the order delivery personnel.

10. The cross-regional logistics order management system based on a cloud platform according to claim 6, characterized in that: The logistics order intelligent management module includes a logistics order intelligent management unit; The logistics order intelligent management unit is used to obtain the target logistics order set of the order delivery personnel in the current cycle, obtain the order information of several logistics orders delivered by the order delivery personnel from the target logistics order set, obtain the target order delivery route of the order delivery personnel in the current cycle, send the order delivery route information to the order delivery personnel based on the target order delivery route, and intelligently manage logistics orders in different areas.

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