Transport network checking method and device, electronic equipment and storage medium
By acquiring and analyzing transportation network data and calculating transportation time limit and stability, the problem of being unable to optimize the transportation network in existing technologies is solved, and the overall and local service capabilities of the transportation network are improved.
Patent Information
- Application Number
- CN202210628564.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-06
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2042-06-06
AI Technical Summary
Existing technologies lack methods for analyzing transportation networks, which makes it difficult for companies to determine whether optimization is needed to improve overall and local service capabilities.
By obtaining the transportation data of the items to be verified in the target transportation network and the transportation data of the reference items in the associated transportation network, the transportation time limit and stability information are calculated, it is determined whether the target transportation network is in a state to be optimized, and the routes and stages that need to be optimized are located.
It enables analysis of the transportation network, determines whether optimization is needed, improves overall and local transportation service capabilities, and enhances transportation time stability and management efficiency.
Smart Images

Figure CN115034703B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of big data processing technology, and in particular to a transportation network verification method, device, electronic equipment and storage medium. Background Art
[0002] With the rapid development of the express delivery industry, major companies and consumers are increasingly demanding not only shipping capacity and rates, but also delivery timeliness. For consumers, delivery timeliness is a key factor influencing user experience and directly affects their evaluation of the service quality of express delivery companies. For companies, delivery timeliness affects their supply chain planning, directly influencing the efficiency of production, sales, and other links. For express delivery service providers, delivery timeliness represents the company's operational efficiency. Service providers with high timeliness can provide customers with faster logistics services, making them more competitive in the fierce market competition.
[0003] In the process of implementing the present invention, it was found that there are at least the following technical problems in the existing technology: there is no method for analyzing the transportation network in the existing technology, and thus enterprises cannot know whether optimization is needed to improve overall and local service capabilities. Summary of the Invention
[0004] The present invention provides a transportation network verification method, device, electronic device and storage medium to analyze the transportation network and determine whether the transportation network needs to be optimized.
[0005] According to one aspect of the present invention, a transportation network verification method is provided, comprising:
[0006] Obtain the transportation data of the items to be verified in the target transportation network;
[0007] Obtaining reference item transportation data of an associated transportation network corresponding to the target transportation network;
[0008] Based on the to-be-verified item transportation data and the reference item transportation data, it is determined whether the target transportation network is in a state to be optimized.
[0009] According to another aspect of the present invention, there is provided a transportation network verification device, comprising:
[0010] A first data acquisition module is used to acquire the transportation data of the item to be verified in the target transportation network;
[0011] A second data acquisition module is used to acquire reference item transportation data of an associated transportation network corresponding to the target transportation network;
[0012] The data analysis module is configured to determine whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the transportation data of the reference item.
[0013] According to another aspect of the present invention, an electronic device is provided, comprising:
[0014] at least one processor; and
[0015] a memory communicatively connected to the at least one processor; wherein,
[0016] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the transportation network verification method according to any embodiment of the present invention.
[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the transportation network verification method according to any embodiment of the present invention when executed.
[0018] The technical solution of the embodiment of the present invention obtains the transportation data of the items to be verified of the target transportation network, and the transportation data of the reference items of the associated transportation network corresponding to the target transportation network, and then judges whether the target transportation network is in a state to be optimized based on the transportation data of the items to be verified and the transportation data of the reference items, and verifies the transportation data of the target transportation network based on the transportation data of the associated transportation network, thereby realizing the analysis of the transportation network, and then determining whether the transportation network needs to be optimized, thereby improving the overall and local service capabilities of the transportation.
[0019] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] 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 description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0021] Figure 1A This is a flow chart of a transportation network verification method provided in Example 1 of the present invention;
[0022] Figure 1BThis is a schematic diagram of various transportation stages of intra-city transportation of goods provided by the first embodiment of the present invention;
[0023] Figure 1C This is a schematic diagram of various transportation stages of transporting items within a region provided by the first embodiment of the present invention;
[0024] Figure 1D This is a schematic diagram of various transport stages of inter-regional transport of goods provided by the first embodiment of the present invention;
[0025] Figure 1E This is a schematic diagram of a time limit quadrant provided in the first embodiment of the present invention;
[0026] Figure 2 This is a flow chart of a transportation network verification method provided in the second embodiment of the present invention;
[0027] Figure 3 This is a flow chart of a transportation network verification method provided in Example 3 of the present invention;
[0028] Figure 4 This is a schematic diagram of the structure of a transportation network verification device provided by the fourth embodiment of the present invention;
[0029] Figure 5 This is a structural diagram of an electronic device provided in Example 5 of the present invention. DETAILED DESCRIPTION
[0030] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.
[0031] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0032] Example 1
[0033] Figure 1A This is a flow chart of a transportation network verification method provided by the first embodiment of the present invention. This embodiment can be applied to obtain the transportation data of items to be verified in the transportation network of a certain enterprise, and obtain the reference transportation data of items in the transportation network of the industry related to the enterprise, and then judge whether the transportation network of the enterprise is in a state to be optimized based on the reference transportation data and the transportation data of items to be verified. For example, based on the express transportation data of a certain transportation network of an enterprise and the express transportation data of a certain transportation network of the industry, judge whether it is necessary to optimize the transportation route of the enterprise, the processing time of each intermediate processing station, the transportation speed of each link, etc. The method can be executed by a transportation network verification device, which can be implemented in the form of hardware and / or software, and can be configured in electronic devices such as computers, mobile phones, smart tablets, etc. Figure 1A As shown, the method includes:
[0034] S110: Acquire transportation data of the item to be verified in the target transportation network.
[0035] The target transportation network may be a route network for transporting items. Specifically, the target transportation network may include at least one transportation route.
[0036] Specifically, the transportation data of the item to be verified can be relevant transportation data of all historical transportation items of the target transportation network, such as item delivery time, item collection time, time when the item leaves the collection point, time when the item arrives at the delivery point, etc.
[0037] Optionally, the transportation data of the items to be verified may also include the total transportation time limit of all historically transported items and the time limit at each transportation stage. The transportation stages may include the collection stage, export transportation stage, export processing stage, transit transportation stage, transit processing stage, import processing stage, and delivery stage.
[0038] For example, see Figure 1B , showing a schematic diagram of the various transportation stages of intra-city transport items. Intra-city transport items can be items that are collected, sent, and delivered in the same city. The corresponding transportation data for items to be verified for intra-city transport items may include collection time limit, transportation time limit, processing time limit, and delivery time limit. The collection time limit refers to the time it takes for an item to be received until it leaves the collection point; the transportation time limit refers to the time it takes to leave the collection point and arrive at the delivery point; the processing time limit refers to the time it takes to leave the collection point and arrive at the delivery point; and the delivery time limit refers to the time it takes to arrive at the delivery point and be delivered.
[0039] For example, see Figure 1C , showing a schematic diagram of the various transportation stages of items transported within a region. Items transported within a region can be collected and delivered within the same management area, such as items within the province; the transportation data to be verified corresponding to the items transported within the region may include collection time limit, export transportation time limit, export processing time limit, transit transportation time limit, transit processing time limit, import processing time limit, import transportation time limit and delivery time limit.
[0040] Among them, the collection and delivery time limit refers to the time from the receipt of the order to the departure of the collection and delivery outlet; the export transportation time limit refers to the transportation time from the departure of the collection and delivery outlet to the departure of the collection and delivery city; the export processing time limit refers to the processing time of the processing center from the departure of the collection and delivery outlet to the departure of the collection and delivery city; the transit transportation time limit refers to the transportation time from the departure of the collection and delivery city to the arrival of the delivery city; the transit processing time limit refers to the processing time of the processing center from the departure of the collection and delivery city to the arrival of the delivery city; the import transportation time limit refers to the transportation time from the arrival of the delivery city to the arrival of the delivery outlet; the import processing time limit refers to the processing time of the processing center from the arrival of the delivery city to the arrival of the delivery outlet; the delivery time limit refers to the time from the arrival of the delivery outlet to the completion of delivery.
[0041] For example, see Figure 1D , showing a schematic diagram of the various stages of inter-regional transport. Inter-regional transport items can be collected and delivered between different administrative zones, meaning the collection and delivery zones are different from the delivery zones. The transportation data to be verified for inter-regional transport items may include collection time limits, export transportation time limits, export processing time limits, transit transportation time limits, transit processing time limits, import processing time limits, import transportation time limits, and delivery time limits.
[0042] Among them, the collection and delivery time limit refers to the time from the receipt of the order to the departure of the collection and delivery outlet; the export transportation time limit refers to the transportation time from the departure of the collection and delivery outlet to the departure of a certain management; the export processing time limit refers to the processing time of the processing center from the departure of the collection and delivery outlet to the departure of a certain management area; the transit transportation time limit refers to the transportation time of the item from the departure of the collection and delivery management area to the arrival of the management area where the delivery outlet is located; the transit processing time limit refers to the processing time of the item from the departure of the collection and delivery management area to the arrival of the management area where the delivery outlet is located; the import transportation time limit refers to the transportation time of the item from the arrival of the management area where the delivery outlet is located to the arrival of the delivery outlet; the import processing time limit refers to the processing time of the processing center from the arrival of the management area where the delivery outlet is located to the arrival of the delivery outlet; the delivery time limit refers to the time from the arrival of the item at the delivery outlet to the completion of delivery.
[0043] S120: Acquire reference item transportation data of an associated transportation network corresponding to the target transportation network.
[0044] The associated transportation network corresponding to the target transportation network may be an industry transportation network corresponding to the target transportation network, i.e., a reference transportation network. The reference item transportation data of the associated transportation network may be relevant transportation data for all historical items transported in the associated transportation network, such as item delivery time, item collection time, item departure time from the collection and collection outlet, item arrival time at the delivery outlet, and the time limits for items at various transportation stages.
[0045] S130: Determine whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the transportation data of the reference item.
[0046] Specifically, after obtaining the transportation data of the items to be verified in the target transportation network and the reference transportation data of the associated transportation network, the average transportation time of the items in the target transportation network can be determined based on the transportation data of the items to be verified, and the average transportation time of the items in the associated transportation network can be determined based on the reference transportation data. Based on the average transportation time of the items in the target transportation network and the average transportation time of the items in the associated transportation network, it is determined whether the target transportation network is in a state to be optimized, that is, whether the target transportation network needs to be optimized.
[0047] Optionally, the method of determining whether the target transportation network is in a state to be optimized based on the transportation data of the items to be verified and the transportation data of the reference items includes: determining a first average transportation time limit corresponding to the target transportation network based on the transportation data of the items to be verified, and determining a second average transportation time limit corresponding to the associated transportation network based on the transportation data of the reference items; and determining whether the target transportation network is in a state to be optimized based on the first average transportation time limit and the second average transportation time limit.
[0048] The first average transit time can be the average transit time of all items transported in the target transportation network across all transportation stages, or the average transit time of all items transported in the target transportation network across each transportation stage, i.e., one first average transit time corresponds to one transportation stage. Accordingly, the second average transit time can be the average transit time of all items transported in the associated transportation network across all transportation stages, or the average transit time of all items transported in the associated transportation network across each transportation stage.
[0049] Specifically, the total transportation time corresponding to each transported item in the target transportation network can be calculated using the delivery time and collection time of all items in the item transportation data to be verified. The first average transportation time limit can then be calculated using the total transportation time of all transported items. Accordingly, the total transportation time corresponding to each transported item in the associated transportation network can be calculated using the delivery time and collection time of all items in the item transportation data. The second average transportation time limit can then be calculated using the total transportation time of all transported items.
[0050] Alternatively, the first average transportation time limit of all transported items in the target transportation network at each transportation stage can be calculated by using the time limits of all items in the transportation data of the items to be verified at each transportation stage, and the second average transportation time limit of all transported items in the associated transportation network at each transportation stage can be calculated by referring to the time limits of all items in the transportation data of the reference items.
[0051] Furthermore, if the first average transportation time limit and the second average transportation time limit are the total average transportation time limits of all transportation stages, then based on the first average transportation time limit and the second average transportation time limit, it is determined whether the target transportation network is in a state to be optimized. It can be: if the first average transportation time limit is greater than the second average transportation time limit, and the difference between the first average transportation time limit and the second average transportation time limit is greater than a preset difference threshold, then it can be determined that the target transportation network is in a state to be optimized.
[0052] If the first average transportation time limit and the second average transportation time limit are the average transportation time limits corresponding to each transportation stage, then based on the first average transportation time limit and the second average transportation time limit, determining whether the target transportation network is in a state to be optimized can be: for each transportation stage, judging whether the first average transportation time limit is greater than the second average transportation time limit; if the number of transportation stages in which the first average transportation time limit is greater than the second average transportation time limit reaches a preset number threshold, it can be determined that the target transportation network is in a state to be optimized.
[0053] In the above optional implementation, by calculating the first average transportation time limit of the target transportation network and the second average transportation time limit of the associated transportation network, the first average transportation time limit and the second average transportation time limit are used to determine whether the target transportation network is in a state to be optimized, thereby determining whether the target transportation network needs to be optimized based on the average transportation time limit of the items, and further realizing network optimization monitoring based on transportation time limit.
[0054] In addition to the above-mentioned determination of whether the target transportation network needs to be optimized based on the transportation time limit, the determination of whether the target transportation network needs to be optimized can also be based on the stability of the transportation time limit.
[0055] For example, in a specific embodiment, the determination of whether the target transportation network is in a state to be optimized based on the transportation data of the items to be verified and the reference item transportation data also includes: determining the first transportation time limit stability information corresponding to the target transportation network based on the transportation data of the items to be verified; determining the second transportation time limit stability information corresponding to the associated transportation network based on the reference item transportation data; and determining whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information.
[0056] The first transport time stability information may describe the fluctuation range of the transport time of items transported by the target transport network within a period of time. The second transport time stability information may describe the fluctuation range of the transport time of items transported by the associated transport network within a period of time.
[0057] Specifically, the first transportation time limit stability information can be calculated based on the transportation time limit of each item in the transportation data of the item to be verified and the first average transportation time limit, such as the variance, standard deviation, etc. The second transportation time limit stability information can be calculated based on the transportation time limit of each item in the transportation data of the reference item and the second average transportation time limit.
[0058] After calculating the first transport time limit stability information and the second transport time limit stability information, it can be determined whether the target transportation network is in a state to be optimized, that is, whether the target transportation network needs to be optimized, based on the first transport time limit stability information and the second transport time limit stability information. It can also be determined whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information and the second transportation time limit stability information.
[0059] Exemplarily, the method of determining whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information includes: if the first average transportation time limit is less than the second average transportation time limit, and the first transportation time limit stability information is greater than the second transportation time limit stability information, then determining that the target transportation network is not in a state to be optimized.
[0060] Specifically, when the first average transit time exceeds the second average transit time, or when the second transit time stability information is less than the second transit time stability information, it can be determined that the target transportation network needs to be optimized. This allows for determining that the target transportation network needs to be optimized when the transit time of the target transportation network is lower than that of the associated transportation network, or when the transit time stability is lower than that of the associated transportation network, thereby enabling network optimization monitoring based on transit time and time stability.
[0061] Specifically, if the first average transportation time limit is less than the second average transportation time limit and the first transportation time limit stability information is less than the second transportation time limit stability information, it can be indicated that the overall time limit of the target transportation network is good, but the processing capacity when dealing with abnormal or emergency situations is insufficient. Therefore, the first prompt information can be displayed to prompt that the optimization strategy of the target transportation network is to strengthen the real-time monitoring of the trajectory information of the target transportation network and the timely regulation and control capabilities to deal with special situations, so as to ensure that the time limit under special circumstances is consistent with the time limit under normal circumstances, and improve the time limit stability.
[0062] If the first average transport time limit is greater than the second average transport time limit and the first transport time limit stability information is less than the second transport time limit stability information, it can be indicated that the overall time limit situation of the target transportation network is not good and the time limit needs to be accelerated. Therefore, the second prompt information can be displayed to prompt the optimization strategy of the target transportation network to refine the management of each route, analyze each area using the time limit evaluation method, locate the key areas, and pay attention to the time limit stability while speeding up.
[0063] If the first average transportation time limit is greater than the second average transportation time limit and the first transportation time limit stability information is greater than the second transportation time limit stability information, it may indicate that the transportation time limit of the target transportation network needs to be improved. Therefore, the third prompt information may be displayed to prompt the optimization strategy of the target transportation network to focus on speeding up the time limit, refine the management of each area, and locate the key areas to shorten the overall time limit.
[0064] For example, see Figure 1E , showing a schematic diagram of a time limit quadrant. Specifically, the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information can be used to determine the quadrant in which the target transportation network is located. The first quadrant indicates that the transportation time limit of the target transportation network is faster than that of the associated transportation network (i.e., industry), and the time limit stability of the target transportation network is higher than that of the associated transportation network; the second quadrant indicates that the transportation time limit of the target transportation network is faster than that of the associated transportation network, and the time limit stability of the target transportation network is lower than that of the associated transportation network; the third quadrant indicates that the transportation time limit of the target transportation network is slower than that of the associated transportation network, and the time limit stability of the target transportation network is lower than that of the associated transportation network; and the fourth quadrant indicates that the transportation time limit of the target transportation network is slower than that of the associated transportation network, and the time limit stability of the target transportation network is higher than that of the associated transportation network. If the target transportation network is in the second, third, or fourth quadrant, it can be determined that the target transportation network needs to be optimized.
[0065] In the above example implementation, the first average transit time, the second average transit time, the first transit time stability information, and the second transit time stability information are used to determine the data status of the target transportation network, thereby enabling network optimization and monitoring based on transit time and time stability. By combining the dual dimensions of transit time and time stability with the actual optimization requirements of each network, optimized monitoring of each network is achieved, achieving systematic, unified, and comprehensive transportation management.
[0066] The technical solution of this embodiment obtains the transportation data of the items to be verified of the target transportation network and the transportation data of the reference items of the associated transportation network corresponding to the target transportation network, and then determines whether the target transportation network is in a state to be optimized based on the transportation data of the items to be verified and the transportation data of the reference items. The transportation data of the target transportation network is verified based on the transportation data of the associated transportation network, thereby realizing the analysis of the target transportation network, and then determining whether the target transportation network needs to be optimized, thereby improving the overall and local service capabilities of transportation.
[0067] Example 2
[0068] Figure 2 This is a flow chart of a transportation network verification method provided by the second embodiment of the present invention. This embodiment, based on the above embodiments, provides an exemplary description of the process of determining the first average transportation time limit and the second average transportation time limit. Figure 2 As shown, the method includes:
[0069] S210: Acquire transportation data of items to be verified of a target transportation network and transportation data of reference items of an associated transportation network corresponding to the target transportation network.
[0070] S220: Determine, based on the to-be-verified item transportation data, each first item transportation type corresponding to the target transportation network, an average transportation time limit corresponding to each first item transportation type, and a data processing volume corresponding to each first item transportation type.
[0071] The first item transport type may be a transport type encompassed by all items transported in the target transport network, such as express items, standard express items, and air transport items. The average transport time corresponding to the first item transport type may be the average transport time of all items under the first item transport type. The average transport time corresponding to the first item transport type may be calculated based on items already transported in the target transport network.
[0072] The data processing volume corresponding to the first item transportation type may be the number of items transported by the target transportation network for the first item transportation type. Specifically, the data processing volume corresponding to the first item transportation type may be obtained based on statistics of items transported by the target transportation network.
[0073] S230: Based on the reference item transportation data, determine each second item transportation type corresponding to the associated transportation network, as well as an average transportation time limit corresponding to each second item transportation type and a data processing volume corresponding to each second item transportation type.
[0074] The second item transport type may be a transport type encompassed by all transported items in the associated transport network. The average transport time corresponding to the second item transport type may be an average transport time for all items in the second item transport type. The average transport time corresponding to the second item transport type may be calculated based on items already transported in the associated transport network.
[0075] S240. Determine the first average transportation time corresponding to the target transportation network based on the average transportation time corresponding to each first item transportation type and the data processing volume corresponding to each first item transportation type; determine the second average transportation time corresponding to the associated transportation network based on the average transportation time corresponding to each second item transportation type and the data processing volume corresponding to each second item transportation type.
[0076] Specifically, according to the average transportation time corresponding to each first item transportation type and the data processing volume corresponding to each first item transportation type, the first average transportation time corresponding to the target transportation network may be determined using the following formula:
[0077]
[0078] Among them, T X represents the first average transportation time limit corresponding to the target transportation network, represents the average transportation time limit corresponding to the first transportation type of the i-th item in the target transportation network, Indicates the data processing volume corresponding to the i-th first item transportation type.
[0079] Specifically, according to the average transportation time corresponding to each second item transportation type and the data processing volume corresponding to each second item transportation type, the second average transportation time corresponding to the associated transportation network is determined using the following formula:
[0080]
[0081] Among them, T Y represents the second average transportation time corresponding to the associated transportation network, represents the average transportation time corresponding to the second transportation type of the i-th item in the associated transportation network, Indicates the data processing volume corresponding to the i-th second item transportation type.
[0082] Of course, the first transport time stability information corresponding to the target transport network may also be determined based on the transport time stability corresponding to each first item transport type and the data processing volume corresponding to each first item transport type, as follows:
[0083]
[0084] Among them, D X Indicates the first transportation time limit stability information corresponding to the target transportation network, Indicates the transportation time stability corresponding to the i-th first item transportation type of the target transportation network.
[0085] Alternatively, the second transport time stability information corresponding to the associated transport network may be determined based on the transport time stability corresponding to each second item transport type and the data processing volume corresponding to each second item transport type, as follows:
[0086]
[0087] Among them, D Y Indicates the second transport time limit stability information corresponding to the associated transport network, Indicates the transportation time stability corresponding to the i-th second item transportation type of the associated transportation network.
[0088] S250: Determine whether the target transportation network is in a state to be optimized based on the first average transportation time limit and the second average transportation time limit.
[0089] The technical solution of this embodiment determines the first average transportation time limit through each first item transportation type, the average transportation time limit corresponding to each first item transportation type, and the data processing volume corresponding to each first item transportation type; and determines the second average transportation time limit through each second item transportation type, the average transportation time limit corresponding to each second item transportation type, and the data processing volume corresponding to each second item transportation type, thereby achieving accurate determination of the first average transportation time limit and the second average transportation time limit, and further facilitating determination of the status of the target transportation network based on the time limit, thereby achieving optimized monitoring of the transportation network.
[0090] Example 3
[0091] Figure 3 This is a flow chart of a transportation network verification method provided by the third embodiment of the present invention. Based on the above embodiments, this embodiment supplements that if the target transportation network is determined to be in a state to be optimized, the target optimization route to be optimized can be further determined. Figure 3 As shown, the method includes:
[0092] S310: Acquire transportation data of items to be verified of a target transportation network and transportation data of reference items of an associated transportation network corresponding to the target transportation network.
[0093] S320: Determine first transportation time stability information corresponding to the target transportation network based on the transportation data of the item to be verified, and determine second transportation time stability information corresponding to the associated transportation network based on the transportation data of the reference item.
[0094] S330: Determine whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information.
[0095] S340: If the target transportation network is in a state to be optimized, determine each route to be checked corresponding to the reference item transportation data.
[0096] Specifically, when it is determined that the target transportation network is in a state to be optimized, that is, when the target transportation network needs to be optimized, the lines that need to be optimized can be located, so as to optimize from the line perspective, realize the transition from macro optimization management to micro decision-making, locate the problems of each line and make timely optimization adjustments.
[0097] In this embodiment, if the target transportation network needs to be optimized, each to-be-checked route corresponding to the reference item transportation data of the target transportation network may be determined, wherein each to-be-checked route may be a transportation route for all items transported in the target transportation network.
[0098] S350. Obtain the transport data of the routes to be verified and the reference route transport data corresponding to each route to be verified. For each route to be verified, determine the first route transport time limit and the first route time limit stability information of the route to be verified based on the transport data of the routes to be verified corresponding to the route to be verified. Determine the second route transport time limit and the second route time limit stability information corresponding to the route to be verified based on the reference route transport data corresponding to the route to be verified.
[0099] The transportation data of the route to be verified corresponding to the route to be verified may be the relevant transportation data of all items transported by the target transportation network on the route to be verified. The transportation data of the reference route corresponding to the route to be verified may be the relevant transportation data of all items transported by the associated transportation network on the route to be verified.
[0100] Specifically, after obtaining the transportation data of the route to be verified and the reference route transportation data of each route to be verified, the first route transportation time limit and the first route time limit stability information of the route to be verified can be calculated based on the transportation data of the route to be verified, and the second route transportation time limit and the second route time limit stability information corresponding to the route to be verified can be calculated based on the reference route transportation data.
[0101] For example, the first route transportation time limit and the first route transportation time limit stability information of the route to be verified are calculated based on the transportation data of the route to be verified, and the following formula may be satisfied:
[0102]
[0103] Among them, T AB Indicates the first line transportation time limit of line AB, t i It represents the total time limit of the i-th transport item in the transport data of the route to be verified, and n represents the total number of transport items on route AB. AB Indicates the first line time stability information of line AB.
[0104] For example, the second route transportation time limit and the second route time limit stability information corresponding to the route to be verified are calculated based on the reference route transportation data, and the following formula may be satisfied:
[0105]
[0106] Among them, T A ' B The second route transport time limit of route AB, t′ i D′ represents the total time limit of the i-th transport item in the reference route transport data, and m represents the total number of transport items on route AB. AB Indicates the second line time stability information of line AB.
[0107] Through the above formula, the first route transportation time limit, first route time limit stability information, second route transportation time limit and second route time limit stability information corresponding to each route to be verified can be calculated respectively.
[0108] Of course, this embodiment can also calculate the first average transportation time limit of the target transportation network based on the first route transportation time limits corresponding to all routes to be verified; calculate the first transportation time limit stability information of the target transportation network based on the first route transportation time limit stability information corresponding to all routes to be verified; calculate the second average transportation time limit of the target transportation network based on the second route transportation time limits corresponding to all routes to be verified; and calculate the second transportation time limit stability information of the target transportation network based on the second route transportation time limit stability information corresponding to all routes to be verified.
[0109] S360: Determine a target optimized route among the routes to be verified based on the first route transportation time limit, the first route time limit stability information, the second route transportation time limit, and the second route time limit stability information of each route to be verified.
[0110] Specifically, after calculating the first route transportation time limit, first route time limit stability information, second route transportation time limit and second route time limit stability information of each route to be verified in the above manner, the target optimization route that needs to be optimized can be located from each route to be verified.
[0111] Exemplarily, the target optimized route can be determined among the routes to be verified in the following manner: if the first route transportation time limit of the route to be verified is greater than the second route transportation time limit, or the first route time limit stability information of the route to be verified is lower than the second route time limit stability information, then the route to be verified is determined as the target optimized route.
[0112] Alternatively, the following method can be used to determine the target optimized route among the routes to be verified: if the first route transportation time limit of the route to be verified is greater than the second route transportation time limit, or the first route time limit stability information of the route to be verified is lower than the second route time limit stability information, then the route to be verified is determined as the route to be screened for optimization; based on the corresponding first route transportation time limit or first route time limit stability information of each route to be screened for optimization, the target optimized route is determined among the routes to be screened for optimization.
[0113] That is, all the routes to be checked whose first-line transportation time limit is greater than the second-line transportation time limit, or whose first-line time limit stability information is lower than the second-line time limit stability information, can be determined as routes to be screened and optimized, and then the routes to be screened and optimized can be sorted in descending order of the first-line transportation time limit, so as to select the top n as target optimization routes, or the routes to be screened and optimized can be sorted in descending order of the first-line time limit stability information, so as to select the top n as target optimization routes.
[0114] It should be noted that, in addition to locating the target optimized route, this embodiment can further locate the transportation stage that needs to be optimized from the target optimized route.
[0115] Optionally, the method provided in this embodiment also includes: determining the transportation stage to be verified corresponding to the target optimized route; obtaining the transportation data of the stage to be verified and the reference stage transportation data corresponding to each transportation stage to be verified; for each transportation stage to be verified, based on the transportation data of the stage to be verified corresponding to the transportation stage to be verified, determining the first stage transportation time limit and the first stage time limit stability information of the transportation stage to be verified, and based on the reference stage transportation data corresponding to the transportation stage to be verified, determining the second stage transportation time limit and the second stage time limit stability information of the transportation stage to be verified; based on the first stage transportation time limit, the first stage time limit stability information, the second stage transportation time limit and the second stage time limit stability information of each transportation stage to be verified, determining the target optimized transportation stage in each transportation stage to be verified.
[0116] The transportation stages to be checked corresponding to the target optimized route may be the various transportation stages included in the target optimized route. It should be noted that the transportation stages to be checked corresponding to different target optimized routes may be different.
[0117] For example, for intra-city transportation routes, the corresponding transportation stages to be verified include the collection and delivery stage, transportation stage, processing stage and delivery stage; for inter-regional transportation routes, the corresponding transportation stages to be verified include the collection and delivery stage, export section transportation stage, export section processing stage, transit section transportation stage, transit section processing stage, import section transportation stage, import section processing stage and delivery stage.
[0118] Specifically, for each transport stage to be verified, the transport data of the stage to be verified and the transport data of the reference stage corresponding to the transport stage to be verified can be obtained first, wherein the transport data of the stage to be verified can be the relevant transport data of all transport items in the target transport network that have passed through the transport stage to be verified, and the reference stage transport data can be the relevant transport data of all transport items in the associated transport network that have passed through the transport stage to be verified.
[0119] Furthermore, for each transportation stage to be verified, the first stage transportation time limit and the second stage time limit stability information are calculated based on the transportation data of the stage to be verified, and the second stage transportation time limit and the second stage time limit stability information are calculated based on the transportation data of the reference stage.
[0120] For example, see the following formula:
[0121]
[0122] Among them, T AB-segment Indicates the first stage transportation time limit of a transportation stage to be verified in the AB line, t i-segment T′ represents the time limit of the i-th item in the transportation data of the pending verification stage in the transportation data of the pending verification stage, and n represents the number of items in the transportation data of the pending verification stage. AB-segment Indicates the second stage transportation time limit of a transportation stage to be verified in the AB line, t′ i-segment represents the time limit of the i-th item in the transport data of the reference period in the transport period to be verified, and m represents the number of items in the transport data of the reference period;
[0123]
[0124]
[0125] Among them, D AB-segment Indicates the first stage time stability information of a transport stage to be verified in line AB, D′ AB-segmentIndicates the second-stage time stability information of a transport stage to be verified in route AB.
[0126] Furthermore, after calculating the first-stage transportation time limit, first-stage time limit stability information, second-stage transportation time limit and second-stage time limit stability information of each transportation stage to be verified, the following method can be used to determine the target optimized transportation stage in each transportation stage to be verified: if the first-stage transportation time limit of the transportation stage to be verified is greater than the second-stage transportation time limit, or the first-stage time limit stability information of the transportation stage to be verified is lower than the second-stage time limit stability information, then the transportation stage to be verified is determined as the optimized transportation stage to be screened; based on the corresponding first-stage transportation time limit or first-stage time limit stability information of each optimized transportation stage to be screened, the target optimized transportation stage is determined in each optimized transportation stage to be screened.
[0127] That is, all the transportation stages to be verified whose first-stage transportation time limit is greater than the second-stage transportation time limit, or whose first-stage time limit stability information is lower than the second-stage time limit stability information, can be determined as the transportation stages to be screened and optimized, and then the transportation stages to be screened and optimized can be sorted in descending order of the first-stage transportation time limit, so as to select the top n as the target optimized transportation stages. Alternatively, the transportation stages to be screened and optimized can be sorted in descending order of the first-stage time limit stability information, so as to select the top n as the target optimized transportation stages.
[0128] Of course, this embodiment can also determine the optimization strategy corresponding to the target optimized transportation stage based on the pre-stored stage optimization strategy correspondence table when determining the target optimized transportation stage.
[0129] For example, if the target optimized transportation stage is the collection and delivery stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: automatically locating outlets with longer specific time limits, optimizing the collection and delivery process of the outlets, including optimizing the configuration of outlet personnel and tools, increasing the intelligence of information collection operations, and increasing the frequency of upstream transportation;
[0130] If the target optimized transportation stage is the export transportation stage, the optimization strategy for the target optimized transportation stage can be determined as follows: automatically locate the operation process with longer export transportation time limit, optimize key links such as transportation routes, trunk and city car dispatching, in-transit monitoring, etc., improve the system's understanding of vehicle operation status, and thus achieve improved transportation efficiency;
[0131] If the target optimized transportation stage is the export processing stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: automatically locating the processing center with a longer specific export time limit, and optimizing the upstream and downstream processes and upstream and downstream frequency connections of the processing center;
[0132] If the target optimized transportation stage is the transit transportation stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: reducing the number of transit cities and reducing transportation mileage;
[0133] If the target optimized transportation stage is the transit processing stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: automatically locating the processing center with a longer transit time limit, and optimizing the upstream and downstream processes and upstream and downstream frequencies of the processing center;
[0134] If the target optimized transportation stage is the import transportation stage, the optimization strategy for the target optimized transportation stage can be determined as follows: automatically locate the operation process with longer import transportation time limit, optimize key links such as transportation routes, trunk and city car dispatching, and in-transit monitoring, and improve the system's understanding of vehicle operation status to achieve improved transportation efficiency;
[0135] If the target optimized transportation stage is the import processing stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: automatically locating the processing center with a longer specific import time limit, and optimizing the upstream and downstream processes and upstream and downstream frequency connections of the processing center;
[0136] If the target optimized transportation stage is the delivery stage, the optimization strategy corresponding to the target optimized transportation stage can be determined as follows: automatically locate the operation process with a longer delivery time limit, optimize the delivery frequency, and standardize the operation process to improve operation efficiency.
[0137] In the above optional implementation manner, after determining the target optimization route, the target optimization transportation stage in the target optimization route is further determined, thereby further positioning the optimization link and facilitating further optimization of the positioned transportation stage.
[0138] The technical solution of this embodiment, when it is determined that the target transportation network is in a state to be optimized, determines the first route transportation time limit, first route time limit stability information, second route transportation time limit and second route time limit stability information corresponding to each route to be verified based on the route transportation data to be verified and the reference route transportation data corresponding to each route to be verified, and then determines the target optimized route among each route to be verified based on the determined information, thereby achieving optimized positioning of the target transportation network and facilitating further optimization of the located routes.
[0139] Example 4
[0140] Figure 4 This is a schematic diagram of the structure of a transport network verification device provided by the fourth embodiment of the present invention. Figure 4 As shown, the device includes a first data acquisition module 410 , a second data acquisition module 420 and a data analysis module 430 .
[0141] A first data acquisition module 410 is used to acquire the transportation data of the item to be verified in the target transportation network;
[0142] A second data acquisition module 420 is configured to acquire reference item transportation data of an associated transportation network corresponding to a target transportation network;
[0143] The data analysis module 430 is configured to determine whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the transportation data of the reference item.
[0144] Based on the above embodiment, optionally, the data analysis module 430 includes a first verification unit, which is used to determine the first average transportation time corresponding to the target transportation network based on the transportation data of the items to be verified, and determine the second average transportation time corresponding to the associated transportation network based on the reference item transportation data; based on the first average transportation time and the second average transportation time, determine whether the target transportation network is in a state to be optimized.
[0145] Based on the above embodiment, optionally, the data analysis module 430 also includes a second verification unit, which is used to determine the first transportation time limit stability information corresponding to the target transportation network based on the transportation data of the items to be verified; determine the second transportation time limit stability information corresponding to the associated transportation network based on the reference item transportation data; and determine whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information and the second transportation time limit stability information.
[0146] Based on the above embodiment, optionally, the second verification unit is further used to determine that the target transportation network is not in the state to be optimized if the first average transportation time limit is less than the second average transportation time limit, and the first transportation time limit stability information is greater than the second transportation time limit stability information.
[0147] On the basis of the above embodiment, optionally, the first verification unit is further used to determine, based on the transportation data of the items to be verified, each first item transportation type corresponding to the target transportation network, the average transportation time limit corresponding to each first item transportation type, and the data processing volume corresponding to each first item transportation type; based on the reference item transportation data, determine each second item transportation type corresponding to the associated transportation network, the average transportation time limit corresponding to each second item transportation type, and the data processing volume corresponding to each second item transportation type; determine the first average transportation time limit corresponding to the target transportation network according to the average transportation time limit corresponding to each first item transportation type and the data processing volume corresponding to each first item transportation type; and determine the second average transportation time limit corresponding to the associated transportation network according to the average transportation time limit corresponding to each second item transportation type and the data processing volume corresponding to each second item transportation type.
[0148] On the basis of the above embodiment, optionally, the device further includes a route positioning module, the route positioning module being configured to determine, if the target transportation network is in a state to be optimized, each route to be verified corresponding to the reference item transportation data; obtain the route transportation data to be verified and the reference route transportation data corresponding to each route to be verified; for each route to be verified, determine, based on the route transportation data to be verified corresponding to the route to be verified, the first route transportation time limit and the first route time limit stability information of the route to be verified; determine, based on the reference route transportation data corresponding to the route to be verified, the second route transportation time limit and the second route time limit stability information corresponding to the route to be verified; determine, based on the first route transportation time limit, the first route time limit stability information, the second route transportation time limit and the second route time limit stability information of each route to be verified, the target optimization route in each route to be verified.
[0149] On the basis of the above embodiment, optionally, the device further includes a stage positioning module, which is used to determine the transport stage to be verified corresponding to the target optimized route; obtain the transport data of the stage to be verified and the reference stage transport data corresponding to each of the transport stages to be verified; for each transport stage to be verified, based on the transport data of the stage to be verified corresponding to the transport stage to be verified, determine the first stage transport time limit and the first stage time limit stability information of the transport stage to be verified; based on the reference stage transport data corresponding to the transport stage to be verified, determine the second stage transport time limit and the second stage time limit stability information of the transport stage to be verified; based on the first stage transport time limit, the first stage time limit stability information, the second stage transport time limit and the second stage time limit stability information of each of the transport stages to be verified, determine the target optimized transport stage in each of the transport stages to be verified.
[0150] The technical solution of this embodiment obtains the transportation data of the items to be verified of the target transportation network, and the transportation data of the reference items of the associated transportation network corresponding to the target transportation network, and then determines whether the target transportation network is in a state to be optimized based on the transportation data of the items to be verified and the transportation data of the reference items. The transportation data of the target transportation network is verified based on the transportation data of the associated transportation network, thereby realizing the analysis of the transportation network and determining whether the transportation network needs to be optimized, thereby improving the overall and local service capabilities of the transportation.
[0151] The transportation network verification device provided by the embodiment of the present invention can execute the transportation network verification method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.
[0152] Example 5
[0153] Figure 5 1 is a structural diagram of an electronic device provided in Example 5 of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.
[0154] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0155] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.
[0156] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the transportation network verification method.
[0157] In some embodiments, the transportation network verification method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the transportation network verification method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the transportation network verification method in any other suitable manner (e.g., via firmware).
[0158] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0159] Computer programs for implementing the transportation network verification methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that, when executed by the processor, the computer programs implement the functions / operations specified in the flowcharts and / or block diagrams. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.
[0160] Example 6
[0161] Embodiment 6 of the present invention further provides a computer-readable storage medium storing computer instructions, the computer instructions being used to cause a processor to execute a transportation network verification method, the method comprising:
[0162] Obtain the transportation data of the items to be verified in the target transportation network;
[0163] Obtaining reference item transportation data of an associated transportation network corresponding to the target transportation network;
[0164] Based on the to-be-verified item transportation data and the reference item transportation data, it is determined whether the target transportation network is in a state to be optimized.
[0165] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0166] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).
[0167] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0168] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.
[0169] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.
[0170] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.
Claims
1. A transportation network verification method, characterized in that: include: Acquiring transportation data of the item to be verified in the target transportation network, wherein the transportation data of the item to be verified is transportation data associated with transportation time of historical transportation items in the target transportation network; Acquire reference item transportation data of an associated transportation network corresponding to the target transportation network, wherein the reference item transportation data is transportation data associated with transportation time of historically transported items in the associated transportation network; Determining whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the reference item transportation data; The determining, based on the to-be-verified item transportation data and the reference item transportation data, whether the target transportation network is in a state to be optimized includes: Determine a first average transportation time limit corresponding to the target transportation network based on the transportation data of the item to be verified, and determine a second average transportation time limit corresponding to the associated transportation network based on the transportation data of the reference item; Based on the first average transportation time limit and the second average transportation time limit, it is determined whether the target transportation network is in a state to be optimized.
2. The method according to claim 1, characterized in that The determining whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the reference item transportation data further includes: Determining first transportation time limit stability information corresponding to the target transportation network based on the transportation data of the item to be verified; Determining second transportation time limit stability information corresponding to the associated transportation network based on the reference item transportation data; Based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information, it is determined whether the target transportation network is in a state to be optimized.
3. The method according to claim 2, characterized in that The determining whether the target transportation network is in a state to be optimized based on the first average transportation time limit, the second average transportation time limit, the first transportation time limit stability information, and the second transportation time limit stability information includes: If the first average transportation time limit is smaller than the second average transportation time limit, and the first transportation time limit stability information is larger than the second transportation time limit stability information, it is determined that the target transportation network is not in the state to be optimized.
4. The method according to claim 1, wherein The determining of the first average transportation time corresponding to the target transportation network based on the transportation data of the item to be verified, and the determining of the second average transportation time corresponding to the associated transportation network based on the transportation data of the reference item, includes: Determining, based on the to-be-verified item transportation data, each first item transportation type corresponding to the target transportation network, an average transportation time limit corresponding to each first item transportation type, and a data processing volume corresponding to each first item transportation type; Determining, based on the reference item transportation data, each second item transportation type corresponding to the associated transportation network, an average transportation time limit corresponding to each second item transportation type, and a data processing volume corresponding to each second item transportation type; Based on the average transportation time corresponding to each of the first item transportation types and the data processing volume corresponding to each of the first item transportation types, the first average transportation time corresponding to the target transportation network is determined; based on the average transportation time corresponding to each of the second item transportation types and the data processing volume corresponding to each of the second item transportation types, the second average transportation time corresponding to the associated transportation network is determined.
5. The method according to claim 2, characterized in that The method further comprises: If the target transportation network is in a state to be optimized, determining each route to be checked corresponding to the reference item transportation data; Acquire the transportation data of the route to be verified and the transportation data of the reference route corresponding to each of the routes to be verified; For each route to be verified, based on the route transportation data corresponding to the route to be verified, determine a first route transportation time limit and first route time limit stability information for the route to be verified; based on the reference route transportation data corresponding to the route to be verified, determine a second route transportation time limit and second route time limit stability information for the route to be verified; Based on the first route transportation time limit, the first route time limit stability information, the second route transportation time limit and the second route time limit stability information of each of the routes to be verified, a target optimized route is determined in each of the routes to be verified.
6. The method according to claim 5, characterized in that The method further comprises: Determining the transportation stage to be verified corresponding to the target optimized route; Obtaining the transportation data of the to-be-verified stage and the transportation data of the reference stage corresponding to each of the transportation stages to be verified; For each transport stage to be verified, based on the transport data of the transport stage to be verified corresponding to the transport stage to be verified, determine the first stage transport time limit and the first stage time limit stability information of the transport stage to be verified; based on the reference stage transport data corresponding to the transport stage to be verified, determine the second stage transport time limit and the second stage time limit stability information of the transport stage to be verified; Based on the first-stage transportation time limit, the first-stage time limit stability information, the second-stage transportation time limit and the second-stage time limit stability information of each of the transportation stages to be verified, a target optimized transportation stage is determined in each of the transportation stages to be verified.
7. A transportation network verification device, characterized in that: include: a first data acquisition module, configured to acquire transportation data of the item to be verified in a target transportation network, wherein the transportation data of the item to be verified is transportation data associated with transportation time of historically transported items in the target transportation network; a second data acquisition module, configured to acquire reference item transportation data of an associated transportation network corresponding to the target transportation network, wherein the reference item transportation data is transportation data associated with transportation time of historically transported items in the associated transportation network; a data analysis module, configured to determine whether the target transportation network is in a state to be optimized based on the transportation data of the item to be verified and the transportation data of the reference item; The data analysis module includes a first verification unit, which is used to determine a first average transportation time corresponding to the target transportation network based on the transportation data of the items to be verified, and determine a second average transportation time corresponding to the associated transportation network based on the transportation data of the reference items; based on the first average transportation time and the second average transportation time, determine whether the target transportation network is in a state to be optimized.
8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the transportation network verification method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the transportation network verification method according to any one of claims 1 to 6 when executed.
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