CN115034703A

CN115034703A - Transport network checking method and device, electronic equipment and storage medium

Info

Publication number: CN115034703A
Application number: CN202210628564.4A
Authority: CN
Inventors: 胡晓菁; 徐廷; 谢辉; 金霭汐; 张子嘉; 杨韶晟; 韩猛
Original assignee: China Post Information Technology Beijing Co ltd
Current assignee: China Post Information Technology Beijing Co ltd
Priority date: 2022-06-06
Filing date: 2022-06-06
Publication date: 2022-09-09

Abstract

The invention discloses a transportation network checking method, a transportation network checking device, electronic equipment and a storage medium. The method obtains the transportation data of the object transportation network to be checked and the reference object transportation data of the associated transportation network corresponding to the object transportation network, and then judges whether the object transportation network is in a state to be optimized or not according to the transportation data of the object to be checked and the reference object transportation data, so that the transportation data of the object transportation network is checked based on the transportation data of the associated transportation network, the analysis of the transportation network is realized, the transportation network is further determined to be optimized or not, and the transportation overall and local service capacity is improved.

Description

Transport network checking method and device, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of big data processing, in particular to a transportation network checking method and device, electronic equipment and a storage medium.

Background

With the rapid development of the express industry, the requirements of large enterprises and consumers on the express service are not only limited on the transportation capacity and the transportation price, but also the perception and the requirement on the express timeliness are higher and higher. For consumers, express delivery timeliness is a key link influencing user experience, and directly influences evaluation on service quality of express delivery enterprises; for enterprises, the express delivery timeliness influences the supply chain plan of the enterprises, and the efficiency of links such as production, sales and the like is directly influenced by the express delivery timeliness; for an express service provider, express timeliness represents the operation efficiency of an enterprise, and a service provider with high timeliness can provide faster logistics service for customers and has stronger competitiveness in fierce market competition.

In the process of implementing the invention, at least the following technical problems are found in the prior art: in the prior art, a method for analyzing a transport network does not exist, so that enterprises cannot know whether optimization is needed or not, and the overall and local service capabilities are improved.

Disclosure of Invention

The invention provides a transportation network checking method, a transportation network checking device, electronic equipment and a storage medium, which are used for analyzing a transportation network and further determining whether the transportation network needs to be optimized.

According to an aspect of the present invention, there is provided a transport network checking method, including:

acquiring the transportation data of the object to be checked of the target transportation network;

acquiring reference article transportation data of a related transportation network corresponding to a target transportation network;

and determining whether the target transportation network is in a state to be optimized or not based on the to-be-checked article transportation data and the reference article transportation data.

According to another aspect of the present invention, there is provided a transport network checking apparatus including:

the first data acquisition module is used for acquiring the transportation data of the goods to be checked of the target transportation network;

the second data acquisition module is used for acquiring reference article transportation data of the associated transportation network corresponding to the target transportation network;

and the data analysis module is used for determining whether the target transportation network is in a state to be optimized or not based on the to-be-checked article transportation data and the reference article transportation data.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a transport network checking method according to any of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the transportation network checking method according to any one of the embodiments of the present invention when executed.

According to the technical scheme of the embodiment of the invention, the to-be-checked article transportation data of the target transportation network and the reference article transportation data of the associated transportation network corresponding to the target transportation network are obtained, and then whether the target transportation network is in a to-be-optimized state is judged according to the to-be-checked article transportation data and the reference article transportation data, so that the transportation data of the target transportation network is checked based on the transportation data of the associated transportation network, the transportation network is analyzed, whether the transportation network needs to be optimized is determined, and the transportation overall and local service capacity is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1A is a schematic flowchart of a transportation network checking method according to an embodiment of the present invention;

FIG. 1B is a schematic diagram illustrating various stages of transporting an item in a same city according to an embodiment of the present invention;

FIG. 1C is a schematic illustration of various stages of transport of items within an area according to one embodiment of the present invention;

FIG. 1D is a schematic diagram of various stages of transporting articles between regions according to an embodiment of the present invention;

fig. 1E is a schematic diagram of a time quadrant according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of a transportation network checking method according to a second embodiment of the present invention;

fig. 3 is a schematic flow chart of a transportation network checking method according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of a transportation network checking apparatus according to a fourth embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1A is a schematic flow chart of a transportation network checking method according to an embodiment of the present invention, which is applicable to acquiring transportation data of an object to be checked of a transportation network of an enterprise, acquiring reference transportation data of a transportation network of an industry related to the enterprise, and further determining whether the transportation network of the enterprise is in a state to be optimized according to the reference transportation data and the transportation data of the object to be checked, for example, determining whether a transportation route of the enterprise, processing time of each intermediate processing station, transportation speed of each link, and the like need to be optimized according to express transportation data of a transportation network of an enterprise and express transportation data of a transportation network of an industry, where the method may be performed by a transportation network checking device, and the transportation network checking device may be implemented in a hardware and/or software form, the transport network checking apparatus may be configured in an electronic device such as a computer, a mobile phone, a smart tablet, and the like. As shown in fig. 1A, the method includes:

s110, acquiring the transportation data of the object to be checked of the target transportation network.

Wherein the target transportation network may be a network of lines for transporting the item. In particular, the target transportation network may comprise at least one transportation line.

Specifically, the article transportation data to be checked may be related transportation data of all historical transportation articles of the target transportation network, such as article delivery time, article receiving and sending time, time when an article leaves a receiving and sending site, time when an article arrives at a delivery site, and the like.

Optionally, the shipment data of the items to be checked may further include the total shipment time limit for all the historical shipment items and the time limit at each shipment stage. Wherein, each transportation stage can be a receiving and sending stage, an exit section transportation stage, an exit section processing stage, a transit section transportation stage, a transit section processing stage, an entrance section processing stage, a delivery stage and the like.

For example, referring to fig. 1B, a schematic diagram of various transportation stages of a same-city transportation item is shown, where the same-city transportation item may be an item received and posted and delivered in the same city; the transportation data of the articles to be checked corresponding to the articles transported in the same city can comprise receiving and sending time limit, transportation time limit, processing time limit and delivery time limit. The receiving and sending time limit refers to the time length of the article leaving the receiving and sending point after receiving the article; the transportation time limit refers to the transportation time length from leaving the receiving and sending network point to reaching the delivery network point; the processing time limit refers to the processing time length from leaving the receiving and sending network point to reaching the delivery network point; delivery deadline refers to the time period from arrival at the delivery site to completion of delivery.

For example, referring to fig. 1C, a schematic diagram of various transportation stages of transporting items in an area, where the items transported in the area may be consignee and completed delivery in the same management area, such as provincial internal components; the transportation data to be checked corresponding to the transported articles in the region can comprise receiving and sending time limit, export transportation time limit, export processing time limit, transfer transportation time limit, transfer processing time limit, import transportation time limit and delivery time limit.

The receiving and sending time limit refers to the time length from the order receiving to the leaving of the receiving and sending point of the article; the export section transportation time limit refers to the transportation time length from the time when the article leaves the receiving and sending point to the time when the article leaves the receiving and sending city; the export section processing time limit refers to the processing time length of a processing center between the time when the article leaves the receiving and sending point and the time when the article leaves the receiving and sending city; the transit section transportation time limit refers to the transportation time length between the time when the article leaves the receiving and sending city and the time when the article arrives at the sending city; the transit section processing time limit refers to the processing time length of a processing center between the time when the article leaves the receiving and sending city and the time when the article arrives at the sending city; the import transportation time limit refers to the transportation time length between the time when the goods arrive at the delivery market and the time when the goods arrive at the delivery point; the import section processing time limit refers to the processing time length of the processing center between the time when the article arrives at the delivery market and the time when the article arrives at the delivery network; delivery timing refers to the length of time between the arrival of an item at a delivery site and the completion of delivery.

For example, referring to fig. 1D, a schematic diagram of various transportation stages of an inter-area transportation article is shown, where the inter-area transportation article may be an article received and delivered between different management areas, that is, the management area where receiving is performed is different from the management area where delivery is performed. The transportation data to be checked corresponding to the inter-area transported goods can comprise receiving and sending time limit, export transportation time limit, export processing time, transfer transportation time limit, transfer processing time limit, import transportation time limit and delivery time limit.

The receiving and sending time limit refers to the time length from the order receiving to the leaving of the receiving and sending point of the article; the export section transportation time limit refers to the transportation time length from the time when the goods leave the receiving and sending network point to the time when the goods leave a certain management; the exit section processing time limit refers to the processing time length of the processing center between the time when the article leaves the receiving and sending network point and the time when the article leaves a certain management area; the transit section transportation time limit refers to the transportation time length between the time when the article leaves the receiving and sending management area and the time when the article reaches the management area where the delivery point is located; the transfer section processing time limit refers to the processing time length of the processing center between the time when the article leaves the receiving and sending management area and the time when the article reaches the management area where the delivery network points are located; the import section transportation time limit refers to the transportation time length from the time when the goods arrive at the management area where the delivery network points are located to the time when the goods arrive at the delivery network points; the processing time limit of the entrance section refers to the processing time length from the time when the entrance section arrives at the management area where the delivery network is located to the time when the entrance section arrives at the delivery network; delivery timing refers to the length of time between the arrival of an item at a delivery site and the completion of delivery.

And S120, acquiring reference article transportation data of the associated transportation network corresponding to the target transportation network.

The associated transportation network corresponding to the target transportation network may be an industry transportation network corresponding to the target transportation network, that is, a reference transportation network. The reference item transportation data of the associated transportation network may be related transportation data of all historical transportation items of the associated transportation network, such as item delivery time, item consignment time, time of the item leaving the consignment site, time of arrival of the item at the delivery site, and time limit of the item at each transportation stage.

S130, determining whether the target transportation network is in a state to be optimized or not based on the transportation data of the goods to be checked and the reference transportation data of the goods.

Specifically, after acquiring the to-be-checked article transportation data of the target transportation network and the reference article transportation data of the associated transportation network, the average article transportation time of the target transportation network may be determined according to the to-be-checked article transportation data, the average article transportation time of the associated transportation network may be determined according to the reference article transportation data, and whether the target transportation network is in a to-be-optimized state, that is, whether the target transportation network needs to be optimized is determined according to the average article transportation time of the target transportation network and the average article transportation time of the associated transportation network.

Optionally, the determining whether the target transportation network is in the state to be optimized based on the transportation data of the goods to be checked and the reference transportation data of the goods includes: determining a first average transportation time limit corresponding to a target transportation network based on the transportation data of the goods to be checked, and determining a second average transportation time limit corresponding to the associated transportation network based on the reference goods transportation data; and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit and the second average transport time limit.

Wherein the first average transportation time limit may be an average transportation time limit of all transported items of the target transportation network at all transportation stages; alternatively, the average transit time limit of all the transported items of the target transportation network at each transportation phase, i.e. one transportation phase corresponds to one first average transit time limit. Accordingly, the second average transportation time limit may be an average transportation time limit for all transported items of the associated transportation network for all transportation phases, or an average transportation time limit for all transported items of the associated transportation network for each transportation phase.

Specifically, the total transportation time length corresponding to each transportation article of the target transportation network can be calculated through the article delivery time and the article receiving and sending time of all the articles in the article transportation data to be checked, and then the first average transportation time limit can be calculated through the total transportation time length of all the transportation articles. Correspondingly, the total transportation time length corresponding to each transportation article of the associated transportation network can be calculated by referring to the article delivery time and the article receiving and sending time of all the articles in the article transportation data, and then the second average transportation time limit is calculated according to the total transportation time length of all the transportation articles.

Alternatively, a first average transportation time limit of all the transported items of the target transportation network in each transportation phase may be calculated by referring to the time limits of all the items in the item transportation data to be checked in each transportation phase, and a second average transportation time limit of all the transported items of the associated transportation network in each transportation phase may be calculated by referring to the time limits of all the items in the item transportation data in each transportation phase.

Further, if the first average transportation time limit and the second average transportation time limit are the total average transportation time limit of all transportation phases, determining whether the target transportation network is in the state to be optimized based on the first average transportation time limit and the second average transportation time limit, which may be: if the first average transportation time limit is greater than the second average transportation time limit, and the difference value between the first average transportation time limit and the second average transportation time limit is greater than a preset difference value threshold, the target transportation network can be determined to be in a state to be optimized.

If the first average transportation time limit and the second average transportation time limit are the average transportation time limits corresponding to the transportation stages, 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, which may be: judging whether the first average transportation time limit is larger than the second average transportation time limit or not aiming at each transportation stage; if the number of the transportation phases for which the first average transportation time limit is greater than the second average transportation time limit reaches a preset number threshold, it may be determined that the target transportation network is in a state to be optimized.

In the above optional embodiment, 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, and by determining whether the target transportation network is in the state to be optimized according to the first average transportation time limit and the second average transportation time limit, it is achieved that whether the target transportation network needs to be optimized is determined according to the average transportation time limit of the articles, and further, network optimization monitoring based on the transportation time limit is achieved.

In addition to the above-described determination of whether optimization of the target transportation network is required based on the transportation time limit, it is also possible to determine whether optimization of the target transportation network is required based on the stability of the transportation time limit.

For example, in a specific embodiment, the determining whether the target transportation network is in the state to be optimized based on the transportation data of the goods to be checked and the transportation data of the reference goods further includes: determining first transportation time limit stability information corresponding to a target transportation network based on the transportation data of the goods to be checked; determining second transportation time limit stability information corresponding to the associated transportation network based on the reference article transportation data; and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit, the second average transport time limit, the first transport time limit stability information and the second transport time limit stability information.

Wherein the first transportation time limit stability information may describe a magnitude of fluctuation in transportation time limits of the items transported by the target transportation network over a period of time. The second transportation time limit stability information may describe a magnitude of fluctuation in transportation time limits of items transported by the associated transportation network over a period of time.

Specifically, the first transportation time limit stability information may be obtained by calculating, for example, a variance, a standard deviation, and the like, according to the transportation time limit of each article in the article transportation data to be checked and the first average transportation time limit. The second transportation time limit stability information may be calculated based on the transportation time limit of each article in the reference article transportation data and the second average transportation time limit.

After the first transportation time limit stability information and the second transportation time limit stability information are calculated, whether the target transportation network is in a state to be optimized or not can be determined according to the first transportation time limit stability information and the second transportation time limit stability information, namely whether the target transportation network needs to be optimized or not, and whether the target transportation network is in the state to be optimized or not can be determined according to 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.

Illustratively, the determining whether the target transportation network is in the 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: and 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, determining that the target transportation network is not in the state to be optimized.

That is, when the first average transportation time limit exceeds the second average transportation time limit, or the second transportation time limit stability information is less than the second transportation time limit stability information, it may be determined that the target transportation network needs to be optimized. The method and the device realize that the target transportation network is determined to be optimized when the transportation time limit of the target transportation network is lower than the associated transportation network or the time limit stability is lower than the associated transportation network, and further realize the network optimization monitoring based on the transportation time limit and the time limit stability.

Specifically, 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 smaller than the second transportation time limit stability information, it can be shown that the overall time limit condition of the target transportation network is good, but the processing capability in coping with abnormal or emergency situations is insufficient, so that the first prompt information can be displayed to prompt the optimization strategy of the target transportation network to enhance the real-time monitoring of the track information of the target transportation network and the timely regulation and control capability in coping with special situations, so as to ensure that the time limit under special situations is consistent with the time limit under normal situations, and improve the time limit stability.

If the first average transportation time limit is larger than the second average transportation time limit, and the first transportation time limit stability information is smaller than the second transportation time limit stability information, the overall time limit situation of the target transportation network is not good, and time limit acceleration is needed, so that the second prompt information can be displayed, the optimization strategy of the target transportation network is prompted to refine the management of each route, each area is analyzed by using a time limit evaluation method, a key area is positioned, and the time limit stability situation is concerned while the acceleration is carried out.

If the first average transportation time limit is larger 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, the transportation time limit of the target transportation network needs to be increased, therefore, the third prompt information can be displayed, the optimization strategy of the target transportation network is prompted to increase the speed of the concerned time limit, the management of each area is detailed, and the key area is positioned to realize the reduction of the total time limit.

For example, referring to fig. 1E, a time limit quadrant diagram is shown, and specifically, a quadrant in which the target transportation network is located may be further determined according to 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. Wherein, the first quadrant represents that the transportation time limit of the target transportation network is faster than the transportation time limit of the associated transportation network (namely, industry), and the time limit stability of the target transportation network is higher than the time limit stability 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; the fourth quadrant indicates that the transit deadline for the target transit network is slower than the transit deadline for the associated transit network and that the deadline stability for the target transit network is higher than the deadline stability for the associated transit network. If the target transportation network is located in the second quadrant, the third quadrant or the fourth quadrant, it may be determined that the target transportation network needs to be optimized.

In the embodiment of the above example, the determination of the data state of the target transportation network is realized through 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, and thus, the network optimization monitoring based on the transportation time limit and the time limit stability is realized. By means of the dual dimensionalities of the transportation time limit and the time limit stability and the combination of the actual optimization requirements on each network, optimization monitoring on each network is achieved, and systematicness, uniformity and integrity of transportation management are achieved.

According to the technical scheme, the object transportation data to be checked of the target transportation network and the reference object transportation data of the associated transportation network corresponding to the target transportation network are obtained, whether the target transportation network is in the state to be optimized is judged according to the object transportation data to be checked and the reference object transportation data, the transportation data of the target transportation network is checked based on the transportation data of the associated transportation network, the target transportation network is analyzed, whether the target transportation network needs to be optimized is determined, and the transportation overall and local service capacity is improved.

Example two

Fig. 2 is a schematic flow chart of a transportation network checking method according to a second embodiment of the present invention, and this embodiment exemplarily illustrates a process of determining a first average transportation time limit and a second average transportation time limit on the basis of the above embodiments. As shown in fig. 2, the method includes:

s210, acquiring the to-be-checked article transportation data of the target transportation network and the reference article transportation data of the associated transportation network corresponding to the target transportation network.

S220, determining each first article transportation type corresponding to the target transportation network, the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type based on the article transportation data to be checked.

The first item transportation type may be a transportation type included in all transportation items of the target transportation network, such as express transportation items, general transportation items, air transportation items, and the like. The average shipping time limit for the first item shipping type may be an average shipping time limit for all items in the first item shipping type, and the average shipping time limit for the first item shipping type may be calculated based on the shipped items for the target shipping network.

The data throughput corresponding to the first item transportation type may be an item quantity transported by the target transportation network for the first item transportation type. Specifically, the data processing amount corresponding to the first item transportation type may be obtained according to the statistics of the transported items of the target transportation network.

And S230, determining each second article transportation type corresponding to the associated transportation network, the average transportation time limit corresponding to each second article transportation type and the data processing amount corresponding to each second article transportation type based on the reference article transportation data.

Wherein the second item transportation type may be a transportation type that all transportation items of the associated transportation network contain. The average transportation time limit corresponding to the second item transportation type may be an average transportation time limit of all items under the second item transportation type, and the average transportation time limit corresponding to the second item transportation type may be calculated according to the transported items of the associated transportation network.

S240, determining a first average transportation time limit corresponding to the target transportation network according to the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type, and determining a second average transportation time limit corresponding to the associated transportation network according to the average transportation time limit corresponding to each second article transportation type and the data processing amount corresponding to each second article transportation type.

Specifically, the first average transportation time limit corresponding to the target transportation network is determined according to the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type, and may be determined by using the following formula:

wherein, T _X Indicating a first average transit time limit for the target transit network,

an average shipping time limit corresponding to the ith first item shipping type for the target shipping network,

and the data processing amount corresponding to the ith first item transportation type is represented.

Specifically, the second average transportation time limit corresponding to the associated transportation network is determined according to the average transportation time limit corresponding to each second item transportation type and the data processing amount corresponding to each second item transportation type, and the following formula may be adopted:

wherein, T _Y Indicating a second average transit time limit for the associated transit network,

representing an average shipping time limit corresponding to the ith second item shipping type for the associated shipping network,

and the data processing amount corresponding to the ith second item transportation type is represented.

Of course, the first transportation time limit stability information corresponding to the target transportation network may also be determined according to the transportation time limit stability corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type, as follows:

wherein D is _X First transportation time limit stability information corresponding to the target transportation network is represented,

and representing the transportation time limit stability corresponding to the ith first item transportation type of the target transportation network.

Or, the second transportation time limit stability information corresponding to the associated transportation network may also be determined according to the transportation time limit stability corresponding to each second item transportation type and the data processing amount corresponding to each second item transportation type, as follows:

wherein D is _Y Second transportation time limit stability information corresponding to the associated transportation network is represented,

and representing the transportation time limit stability corresponding to the ith second item transportation type of the associated transportation network.

And S250, determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit and the second average transport time limit.

According to the technical scheme of the embodiment, the first average transportation time limit is determined according to each first article transportation type, the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type; the second average transportation time limit is determined according to the second article transportation types, the average transportation time limit corresponding to the second article transportation types and the data processing amount corresponding to the second article transportation types, so that the first average transportation time limit and the second average transportation time limit are accurately determined, the state of the target transportation network is conveniently determined according to the time limit, and the optimized monitoring of the transportation network is realized.

EXAMPLE III

Fig. 3 is a schematic flow chart of a transportation network checking method according to a third embodiment of the present invention, and this embodiment supplements that, on the basis of the foregoing embodiments, if it is determined that a target transportation network is in a state to be optimized, a target optimization line to be optimized may be further determined. As shown in fig. 3, the method includes:

s310, acquiring the to-be-checked article transportation data of the target transportation network and the reference article transportation data of the associated transportation network corresponding to the target transportation network.

S320, determining first transportation time limit stability information corresponding to the target transportation network based on the transportation data of the goods to be checked, and determining second transportation time limit stability information corresponding to the associated transportation network based on the reference goods transportation data.

S330, determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit, the second average transport time limit, the first transport time limit stability information and the second transport time limit stability information.

And S340, if the target transportation network is in a state to be optimized, determining each line to be checked corresponding to the reference article transportation data.

Specifically, when the target transport network is determined to be in a state to be optimized, namely when the target transport network needs to be optimized, a line needing to be optimized can be positioned, so that optimization is performed from a line angle, macro optimization management to micro decision is realized, and problems of each line are positioned to perform optimization adjustment in time.

In this embodiment, if the target transportation network needs to be optimized, each line to be checked corresponding to the reference article transportation data of the target transportation network may be determined. Wherein each route to be checked may be a transportation route of all transported items of the target transportation network.

S350, obtaining to-be-checked line transportation data and reference line transportation data corresponding to each to-be-checked line, determining first line transportation time limit and first line time limit stability information of the to-be-checked line based on to-be-checked line transportation data corresponding to the to-be-checked line and determining second line transportation time limit and second line time limit stability information corresponding to the to-be-checked line based on reference line transportation data corresponding to the to-be-checked line.

The transportation data of the line to be checked corresponding to the line to be checked may be related transportation data of all articles transported by the target transportation network on the line to be checked. The reference line transportation data corresponding to the line to be checked may be related transportation data of all articles transported by the associated transportation network on the line to be checked.

Specifically, after the to-be-checked line transportation data and the reference line transportation data of each to-be-checked line are obtained, the first line transportation time limit and the first line time limit stability information of the to-be-checked line can be calculated based on the to-be-checked line transportation data, and the second line transportation time limit and the second line time limit stability information corresponding to the to-be-checked line are calculated based on the reference line transportation data.

Illustratively, the first line transportation time limit and the first line time limit stability information of the line to be checked are calculated based on the line transportation data to be checked, and the following formulas can be satisfied:

wherein, T _AB First line transit time limit, t, representing line AB _i The time limit of the ith transport item in the line transport data to be checked is shown, and n represents the number of all transport items of the line AB. D _AB The first line timing stability information of the line AB is represented.

Illustratively, the second line transportation time limit and the second line time limit stability information corresponding to the line to be checked are calculated based on the reference line transportation data, and may satisfy the following formula:

wherein, T _A ′ _B Denotes a second line transportation time limit, t 'of the line AB' _i Representing the full time limit for the ith item in the reference line shipment data and m representing the total number of items shipped on line AB. D' _AB The second representing the line ABTwo-line time limit stability information.

Through the formula, the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information corresponding to each line to be checked can be calculated respectively.

Of course, the first average transportation time limit of the target transportation network may also be calculated based on the first line transportation time limits corresponding to all the lines to be checked; calculating first transportation time limit stability information of the target transportation network based on first line time limit stability information corresponding to all lines to be checked; calculating a second average transportation time limit of the target transportation network based on the second line transportation time limits corresponding to all the lines to be checked; and calculating second transportation time limit stability information of the target transportation network based on the second line time limit stability information corresponding to all the lines to be checked.

And S360, determining a target optimized line in each line to be checked based on the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information of each line to be checked.

Specifically, after the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information of each line to be checked are calculated through the above method, a target optimized line to be optimized can be located from each line to be checked.

For example, the target optimized line may be determined among the lines to be checked in the following manner: and if the first line transportation time limit of the line to be checked is larger than the second line transportation time limit, or the first line time limit stability information of the line to be checked is lower than the second line time limit stability information, determining the line to be checked as a target optimized line.

Or, the target optimization line can be determined in each line to be checked by adopting the following method: if the first line transportation time limit of the line to be checked is larger than the second line transportation time limit, or the first line time limit stability information of the line to be checked is lower than the second line time limit stability information, determining the line to be checked as an optimized line to be screened; and determining a target optimized line in each optimized line to be screened based on the corresponding first line transportation time limit or first line time limit stability information of each optimized line to be screened.

That is, all the lines to be checked of which the first line transportation time limit is greater than the second line transportation time limit or of which the first line time limit stability information is less than the second line time limit stability information can be determined as optimized lines to be screened, and then the optimized lines to be screened are sorted according to the sequence of the first line transportation time limits from large to small, and the top n lines are selected as target optimized lines, or the optimized lines to be screened are sorted according to the sequence of the first line time limit stability information from small to large, and the top n lines are selected as target optimized lines.

It should be noted that, in addition to locating the target optimization route, the embodiment may further locate a transportation phase to be optimized from the target optimization route.

Optionally, the method provided in this embodiment further includes: determining a transportation stage to be checked corresponding to the target optimization line; acquiring transportation data of a to-be-checked stage and transportation data of a reference stage corresponding to each to-be-checked transportation stage; for each transportation phase to be checked, determining first-phase transportation time limit and first-phase time limit stability information of the transportation phase to be checked based on transportation data of the transportation phase to be checked corresponding to the transportation phase to be checked, and determining second-phase transportation time limit and second-phase time limit stability information of the transportation phase to be checked based on reference-phase transportation data corresponding to the transportation phase to be checked; and determining a target optimized transportation stage in each transportation stage to be checked 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 checked.

The transportation stage to be checked corresponding to the target optimization line may be each transportation stage included in the target optimization line. It should be noted that the transportation phase to be checked corresponding to different target optimization lines may be different.

For example, for the same city transportation line, the corresponding transportation stage to be checked includes a receiving and sending stage, a transportation stage, a processing stage and a delivery stage; for the inter-area transportation route, the corresponding transportation stages to be checked comprise a receiving and sending stage, an export section transportation stage, an export section processing stage, a transfer section transportation stage, a transfer section processing stage, an import section transportation stage, an import section processing stage and a delivery stage.

Specifically, for each transportation phase to be checked, transportation data of the transportation phase to be checked and transportation data of a reference phase corresponding to the transportation phase to be checked may be obtained first, where the transportation data of the transportation phase to be checked may be related transportation data of an article passing through the transportation phase to be checked among all transportation articles of the target transportation network, and the transportation data of the reference phase may be related transportation data of an article passing through the transportation phase to be checked among all transportation articles of the associated transportation network.

Further, for each transportation stage to be checked, the first-stage transportation time limit and the second-stage time limit stability information are calculated according to the transportation data of the transportation stage to be checked, and the second-stage transportation time limit and the second-stage time limit stability information are calculated according to the reference-stage transportation data.

For example, see the following equation:

wherein, T _AB-segment Representing a first transit time limit, t, for a certain transit phase to be checked in the AB line _i-segment And n represents the quantity of the items in the transportation data of the stage to be checked. T' _AB-segment Representing a second stage transportation time limit t 'of a certain to-be-checked transportation stage in the AB line' _i-segment Representing the time limit of the ith item in the transportation data of the reference stage in the transportation stage to be checked, and m represents the quantity of the items in the transportation data of the reference stage;

wherein D is _AB-segment Representing first-stage time limit stability information D 'of a certain to-be-checked transportation stage in the AB line' _AB-segment And representing second stage time limit stability information of a certain transportation stage to be checked in the AB line.

Further, after calculating 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 checked, the target optimized transportation stage may be determined in each transportation stage to be checked by adopting the following method: if the first-stage transportation time limit of the transportation stage to be checked is larger than the second-stage transportation time limit, or the first-stage time limit stability information of the transportation stage to be checked is lower than the second-stage time limit stability information, determining the transportation stage to be checked as an optimized transportation stage to be screened; and determining a target optimized transportation stage in each 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.

That is, all the transportation stages to be checked, in which the first-stage transportation time limit is greater than the second-stage transportation time limit, or the first-stage time limit stability information is less than the second-stage time limit stability information, may be determined as the optimized transportation stages to be screened, and then the optimized transportation stages to be screened may be sorted according to the descending order of the first-stage transportation time limit, and the top n names are selected as the target optimized transportation stages, or the optimized transportation stages to be screened may be sorted according to the descending order of the first-stage time limit stability information, and the top n names may be selected as the target optimized transportation stages.

Of course, when the target optimized transportation phase is determined, the optimization strategy corresponding to the target optimized transportation phase may also be determined based on the pre-stored phase optimization strategy correspondence table.

For example, if the target optimized transportation phase is a receiving and sending phase, it may be determined that the optimization policy corresponding to the target optimized transportation phase is: the method comprises the following steps of automatically positioning the network points with longer specific time limit, optimizing the network point receiving and sending operation flow, optimizing the configuration of network point personnel and tools, increasing the intelligence of information acquisition operation, and improving the transportation uplink frequency;

if the target optimized transportation stage is the export transportation stage, it may be determined that the optimization strategy corresponding to the target optimized transportation stage is: the operation process with longer transportation time limit of the exit section is automatically positioned, key links such as transportation lines, automobile dispatching of trunk lines and urban roads, in-transit monitoring and the like are optimized, the grasping of the system on the running condition state of the automobile is improved, and the transportation efficiency is improved;

if the target optimized transportation phase is the export processing phase, it may be determined that the optimization strategy corresponding to the target optimized transportation phase is: automatically positioning a processing center with a longer specific time limit of an outlet section, and optimizing the up-down flow and up-down frequency connection of the processing center;

if the target optimized transportation phase is the transit section transportation phase, it may be determined that the optimization strategy corresponding to the target optimized transportation phase is: the number of converted cities is reduced, and the transportation mileage is reduced;

if the target optimized transportation phase is the transit section processing phase, it may be determined that the optimization strategy corresponding to the target optimized transportation phase is: automatically positioning a processing center with a longer specific time limit of a transfer section, and optimizing the up-down flow and up-down frequency connection of the processing center;

if the target optimized transportation phase is the entrance transportation phase, it may be determined that the optimization strategy corresponding to the target optimized transportation phase is: the method has the advantages that the operation process with longer transportation time limit of an entrance section is automatically positioned, key links such as transportation lines, automobile dispatching of trunk lines and urban roads, in-transit monitoring and the like are optimized, the grasping of the system on the running condition state of the automobile is improved, and the transportation efficiency is improved;

if the target optimized transportation phase is the import phase processing phase, the optimization strategy corresponding to the target optimized transportation phase may be determined as follows: automatically positioning a processing center with a longer specific time limit of an inlet section, and optimizing the up-down flow and up-down frequency connection of the processing center;

if the target optimized transportation stage is the delivery stage, it may be determined that the optimization strategy corresponding to the target optimized transportation stage is: the operation flow with longer time limit of the delivery link is automatically positioned, the work-out frequency of delivery is optimized, the operation flow is standardized, and the operation efficiency is improved.

In the above optional embodiment, after the target optimization route is determined, the target optimization transportation phase in the target optimization route is further determined, so that the optimization link is further positioned, and further optimization is facilitated for the positioned transportation phase.

According to the technical scheme of the embodiment, when the target transportation network is determined to be in the state to be optimized, according to the transportation data of the line to be checked and the transportation data of the reference line corresponding to each line to be checked, the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information corresponding to each line to be checked are determined, and then the target optimized line is determined in each line to be checked based on the determined information, so that the optimized positioning of the target transportation network is realized, and the positioned line is further optimized conveniently.

Example four

Fig. 4 is a schematic structural diagram of a transportation network checking apparatus according to a fourth embodiment of the present invention. As shown in fig. 4, the apparatus includes a first data acquisition module 410, a second data acquisition module 420, and a data analysis module 430.

A first data obtaining module 410, configured to obtain transportation data of an article to be checked of a target transportation network;

a second data obtaining module 420, configured to obtain reference item transportation data of an associated transportation network corresponding to the target transportation network;

and the data analysis module 430 is configured to determine whether the target transportation network is in a state to be optimized based on the item transportation data to be checked and the reference item transportation data.

On the basis of the foregoing embodiment, optionally, the data analysis module 430 includes a first checking unit, where the first checking unit is configured to determine a first average transportation time limit corresponding to the target transportation network based on the transportation data of the goods to be checked, and determine a second average transportation time limit corresponding to the associated transportation network based on the transportation data of the reference goods; and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit and the second average transport time limit.

On the basis of the foregoing embodiment, optionally, the data analysis module 430 further includes a second checking unit, where the second checking unit is configured to determine, based on the transportation data of the to-be-checked item, first transportation time limit stability information corresponding to the target transportation network; determining second transportation time limit stability information corresponding to the associated transportation network based on the reference item transportation data; and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit, the second average transport time limit, the first transport time limit stability information and the second transport time limit stability information.

On the basis of the foregoing embodiment, optionally, the second checking unit is further configured to determine that the target transportation network is not in the to-be-optimized state 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 greater than the second transportation time limit stability information.

On the basis of the foregoing embodiment, optionally, the first checking unit is further configured to determine, based on the transportation data of the items to be checked, 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 throughput corresponding to each first item transportation type; determining 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 amount corresponding to each second item transportation type based on the reference item transportation data; and determining a first average transportation time limit corresponding to the target transportation network according to the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type, and determining a second average transportation time limit corresponding to the associated transportation network according to the average transportation time limit corresponding to each second article transportation type and the data processing amount corresponding to each second article transportation type.

On the basis of the foregoing embodiment, optionally, the apparatus further includes a line positioning module, where the line positioning module is configured to determine, if the target transportation network is in a state to be optimized, each line to be checked corresponding to the reference article transportation data; acquiring to-be-checked line transportation data and reference line transportation data corresponding to each to-be-checked line; for each line to be checked, determining first line transportation time limit and first line time limit stability information of the line to be checked based on the line transportation data to be checked corresponding to the line to be checked, and determining second line transportation time limit and second line time limit stability information corresponding to the line to be checked based on the reference line transportation data corresponding to the line to be checked; and determining a target optimized line in each line to be checked based on the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information of each line to be checked.

On the basis of the foregoing embodiment, optionally, the apparatus further includes a stage positioning module, where the stage positioning module is configured to determine a transportation stage to be checked corresponding to the target optimization line; acquiring transportation data of the to-be-checked stage and transportation data of the reference stage corresponding to each to-be-checked transportation stage; for each transportation phase to be checked, determining first-phase transportation time limit and first-phase time limit stability information of the transportation phase to be checked based on transportation data of the transportation phase to be checked corresponding to the transportation phase to be checked, and determining second-phase transportation time limit and second-phase time limit stability information of the transportation phase to be checked based on reference-phase transportation data corresponding to the transportation phase to be checked; and determining a target optimized transportation phase in each transportation phase to be checked based on the first-phase transportation time limit, the first-phase time limit stability information, the second-phase transportation time limit and the second-phase time limit stability information of each transportation phase to be checked.

According to the technical scheme, the to-be-checked article transportation data of the target transportation network and the reference article transportation data of the associated transportation network corresponding to the target transportation network are obtained, whether the target transportation network is in the to-be-optimized state or not is judged according to the to-be-checked article transportation data and the reference article transportation data, the transportation data of the target transportation network is checked based on the associated transportation data, the transportation network is analyzed, whether the transportation network needs to be optimized or not is determined, and the transportation overall and local service capacity is improved.

The transport network checking device provided by the embodiment of the invention can execute the transport network checking method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

EXAMPLE five

Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the 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.

A number of 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, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, 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.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of 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 suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the transport network check method.

In some embodiments, the transport 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 onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the transport network checking method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the transport network checking method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the transportation network verification method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

EXAMPLE six

An embodiment of the present invention further provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause a processor to execute a method for checking a transportation network, where the method includes:

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here 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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, 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, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, 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: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for transport network verification, comprising:

2. The method of claim 1, wherein determining whether the target transportation network is in a state to be optimized based on the item transportation data to be checked and the reference item transportation data comprises:

determining a first average transportation time limit corresponding to the target transportation network based on the to-be-checked article transportation data, and determining a second average transportation time limit corresponding to the associated transportation network based on the reference article transportation data;

and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit and the second average transport time limit.

3. The method of claim 2, wherein determining whether the target transportation network is in a state to be optimized based on the item transportation data to be checked and the reference item transportation data further comprises:

determining first transportation time limit stability information corresponding to the target transportation network based on the to-be-checked article transportation data;

determining second transportation time limit stability information corresponding to the associated transportation network based on the reference item transportation data;

and determining whether the target transport network is in a state to be optimized or not based on the first average transport time limit, the second average transport time limit, the first transport time limit stability information and the second transport time limit stability information.

4. The method of claim 3, wherein 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 comprises:

and 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, determining that the target transportation network is not in the state to be optimized.

5. The method of claim 2, wherein determining a first average transit time limit for the target transit network based on the item transportation data to be checked, and determining a second average transit time limit for the associated transit network based on the reference item transportation data comprises:

determining each first article transportation type corresponding to the target transportation network, the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type based on the article transportation data to be checked;

determining 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 amount corresponding to each second item transportation type based on the reference item transportation data;

and determining a first average transportation time limit corresponding to the target transportation network according to the average transportation time limit corresponding to each first article transportation type and the data processing amount corresponding to each first article transportation type, and determining a second average transportation time limit corresponding to the associated transportation network according to the average transportation time limit corresponding to each second article transportation type and the data processing amount corresponding to each second article transportation type.

6. The method of claim 3, further comprising:

if the target transport network is in a state to be optimized, determining each line to be checked corresponding to the reference article transport data;

acquiring to-be-checked line transportation data and reference line transportation data corresponding to each to-be-checked line;

for each line to be checked, determining first line transportation time limit and first line time limit stability information of the line to be checked based on the line transportation data to be checked corresponding to the line to be checked, and determining second line transportation time limit and second line time limit stability information corresponding to the line to be checked based on the reference line transportation data corresponding to the line to be checked;

and determining a target optimized line in each line to be checked based on the first line transportation time limit, the first line time limit stability information, the second line transportation time limit and the second line time limit stability information of each line to be checked.

7. The method of claim 6, further comprising:

determining a transportation stage to be checked corresponding to the target optimization line;

acquiring transportation data of the to-be-checked stage and transportation data of the reference stage corresponding to each to-be-checked transportation stage;

for each transportation phase to be checked, determining first-phase transportation time limit and first-phase time limit stability information of the transportation phase to be checked based on the transportation data of the transportation phase to be checked corresponding to the transportation phase to be checked, and determining second-phase transportation time limit and second-phase time limit stability information of the transportation phase to be checked based on the reference-phase transportation data corresponding to the transportation phase to be checked;

and determining a target optimized transportation stage in each transportation stage to be checked 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 checked.

8. A transport network verifying apparatus, comprising:

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the transport network checking method of any one of claims 1-7.

10. A computer-readable storage medium storing computer instructions for causing a processor to implement the transportation network checking method of any one of claims 1-7 when executed.