CN113298332A

CN113298332A - Information processing method and device and electronic equipment

Info

Publication number: CN113298332A
Application number: CN202010306893.8A
Authority: CN
Inventors: 刘硕
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-04-17
Filing date: 2020-04-17
Publication date: 2021-08-24

Abstract

The embodiment of the application discloses an information processing method and device and electronic equipment. The method comprises the following steps: the method comprises the steps that a server side determines a transportation fulfillment task to be evaluated, and identification information of a plurality of nodes related to the transportation fulfillment task and setting timeliness information related to the nodes respectively are obtained; determining a first node according to the task execution state information of the plurality of nodes, and obtaining actual timeliness information associated with the first node, wherein the task execution state information of the first node is the completed transportation fulfillment task; and obtaining evaluation result information and sending the evaluation result information to the first client according to the set aging information and the actual aging information associated with the first node. By the scheme, the time-dependent stability of the whole transportation performance network is improved.

Description

Information processing method and device and electronic equipment

Technical Field

The present application relates to the field of new retail technologies, and in particular, to an information processing method and apparatus, and an electronic device.

Background

By trunked transportation is meant line transportation in a transportation network which serves as a backbone. For order fulfillment in "new retail" mode, which may involve logistics sites such as warehouses, machining centers, physical stores, and distribution stations, the corresponding rail transportation may include: transportation between warehouses, warehouse to physical store transportation, warehouse to distribution station transportation, machining center to physical store transportation, machining center to distribution station transportation, physical store to distribution station transportation, and the like.

In general, a vehicle may involve a plurality of logistics sites when performing a single transportation fulfillment task, for example, the vehicle 1 transports goods of warehouse a to the physical store 1 and the physical store 2. In order to improve the transportation performance efficiency, the set arrival time and the set departure time of the vehicle at each logistics site may be determined in advance, so that the logistics site may be prepared for task processing in advance, for example, resources such as operators, operation time, and operation site may be coordinated in advance, and the unloading operation and the receiving operation may be performed after the vehicle arrives at the station.

In the actual transportation process, vehicles may have a delay condition, and when a delay occurs at an upstream station (possibly delay of inbound time or outbound time) in order to ensure the transportation timeliness of the whole transportation network, a downstream station may rob time in a manner of directly sending the number of vehicles, temporarily increasing operators, and the like, so as to ensure the customer service experience of a full link.

For the manager of the logistics site, the in-transit information of the vehicle which is about to arrive at the site can be obtained in the following way, and whether the vehicle has a delay condition or not can be determined: one is to determine which vehicles are being sent to the local station and the arrival time associated with each vehicle through a manual communication mode, such as a telephone or an instant messaging tool. And the other method is to modify the vehicle, install a GPS module for the vehicle, determine the current position information, the vehicle speed information and the like of the vehicle in a mode of acquiring GPS information in real time, and determine the arrival time of the vehicle. In the practical application process, the two modes can not well realize the time efficiency supervision of the whole transportation performance process.

Disclosure of Invention

The application provides an information processing method, an information processing device and electronic equipment, which can evaluate and analyze the execution condition of a task in the execution process of a transportation fulfillment task, obtain evaluation result information and send the evaluation result information to a first client, so that when the evaluation result information indicates that the task is abnormally executed, resources related to a downstream site can be dynamically scheduled in time, and the timeliness and stability of the whole transportation fulfillment network are improved.

The application provides the following scheme:

an information processing method comprising:

determining a transportation fulfillment task to be evaluated, and acquiring identification information of a plurality of nodes associated with the transportation fulfillment task and setting timeliness information respectively associated with the plurality of nodes;

determining a first node according to the task execution state information of the plurality of nodes, and obtaining actual timeliness information associated with the first node, wherein the task execution state information of the first node is the completed transportation fulfillment task;

and obtaining evaluation result information and sending the evaluation result information to the first client according to the set aging information and the actual aging information associated with the first node.

An information processing method comprising:

the first client provides operation options for submitting query condition information;

after the query condition information is obtained through the operation options, generating an information processing request and submitting the information processing request to a server, so that the server determines a transportation fulfillment task to be evaluated according to the query condition information and obtains evaluation result information associated with the transportation fulfillment task;

and displaying information on the evaluation result information related to the transportation performance task sent by the server.

An information processing method comprising:

acquiring a task information base and an evaluation object information base, wherein the task information base stores information related to a finished transportation performance task, and the evaluation object information base stores identification information of an evaluation object related to different information processing modes and data type information and abnormal evaluation mode information required by evaluation and analysis of the evaluation object;

acquiring an information processing request submitted by a second client, wherein the information processing request comprises target information processing mode information and target query condition information;

determining a target transportation fulfillment task according to the target query condition information, and acquiring target data under a data type corresponding to a target evaluation object associated with the target information processing mode from information related to the target transportation fulfillment task;

and obtaining evaluation result information of the target evaluation object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

An information processing method comprising:

the second client provides operation options for submitting target information processing mode information and target query condition information;

generating an information processing request after obtaining the target information processing mode information and the target query condition information through the operation options, and submitting the information processing request to a server, so that the server determines a target transportation fulfillment task according to the target query condition, and evaluates the target transportation fulfillment task according to a target evaluation object associated with the target information processing mode to obtain evaluation result information of the target evaluation object;

and displaying the evaluation result information of the target evaluation object sent by the server.

An information processing device applied to a server side comprises:

a set timeliness information obtaining unit, configured to determine a transportation fulfillment task to be evaluated, and obtain identification information of a plurality of nodes associated with the transportation fulfillment task and set timeliness information associated with each of the plurality of nodes;

an actual timeliness information obtaining unit, configured to determine a first node according to task execution state information of the multiple nodes, and obtain actual timeliness information associated with the first node, where the task execution state information of the first node is a completed transportation fulfillment task;

and the evaluation result information obtaining unit is used for obtaining evaluation result information according to the set aging information and the actual aging information associated with the first node and sending the evaluation result information to the first client.

An information processing apparatus applied to a first client includes:

an operation option providing unit for providing an operation option for submitting query condition information;

an information processing request submitting unit, configured to generate an information processing request and submit the information to a server after obtaining the query condition information through the operation option, so that the server determines a transportation fulfillment task to be evaluated according to the query condition information, and obtains evaluation result information associated with the transportation fulfillment task;

and the information display unit is used for displaying the information of the evaluation result information related to the evaluation transportation performance task sent by the server.

An information processing device applied to a server side comprises:

an information base obtaining unit, configured to obtain a task information base and an evaluation object information base, where the task information base stores information related to a transportation fulfillment task that has been executed, and the evaluation object information base stores identification information of an evaluation object related to different information processing methods and data type information and abnormality evaluation method information that are required for evaluating and analyzing the evaluation object;

an information processing request obtaining unit, configured to obtain an information processing request submitted by a second client, where the information processing request includes target information processing mode information and target query condition information;

a target data obtaining unit, configured to determine a target transportation fulfillment task according to the target query condition information, and obtain target data in a data type corresponding to a target evaluation object associated with the target information processing manner from information related to the target transportation fulfillment task;

and the evaluation result information obtaining unit is used for obtaining the evaluation result information of the target evaluation object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

An information processing apparatus applied to a second client, comprising:

an operation option providing unit for providing operation options for submitting the target information processing mode information and the target query condition information;

an information processing request submitting unit, configured to generate an information processing request after obtaining the target information processing manner information and the target query condition information through the operation option, and submit the information processing request to a server, so that the server determines a target transportation fulfillment task according to the target query condition, and performs evaluation processing on the target transportation fulfillment task according to a target evaluation object associated with the target information processing manner, to obtain evaluation result information of the target evaluation object;

and the information display unit is used for displaying the information of the evaluation result information of the target evaluation object sent by the server.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

An electronic device, comprising:

one or more processors; and

providing operation options for submitting query condition information;

An electronic device, comprising:

one or more processors; and

An electronic device, comprising:

one or more processors; and

providing operation options for submitting target information processing mode information and target query condition information;

According to the specific embodiments provided herein, the present application discloses the following technical effects:

when the execution condition of the transportation fulfillment task is evaluated and analyzed, the set aging information associated with the plurality of nodes and the plurality of nodes associated with the task can be obtained, further, when a first node which has completed the transportation fulfillment task exists in the plurality of nodes, the actual aging information associated with the first node can be obtained, and the evaluation result is obtained and sent to the first client according to the set aging information associated with the first node. Therefore, when the evaluation result information indicates that the task is abnormal, the first user associated with the first client can perform dynamic resource scheduling on the downstream site associated with the transportation fulfillment task (i.e., the second node that has not completed the transportation fulfillment task) in time, so as to ensure that the downstream site can complete the transportation fulfillment task according to the associated setting timeliness information, which is beneficial to improving the timeliness stability of the whole transportation fulfillment network.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

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

FIG. 1 is a schematic diagram of a system provided by an embodiment of the present application;

FIGS. 2-7 are flow charts of methods provided by embodiments of the present application;

FIGS. 8-11 are schematic views of an apparatus provided by an embodiment of the present application;

FIG. 12 is a schematic diagram of an architecture of a computer system provided by an embodiment of the present application;

fig. 13 is a schematic diagram of an architecture of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In order to improve the aging stability of the transportation fulfillment network, an embodiment of the present application may provide an information processing system, which is shown in a schematic diagram of fig. 1 and may include, in an example: the system comprises a server and a first client. The server side can evaluate and analyze the transportation fulfillment task being executed, obtain evaluation result information and send the evaluation result information to the first client side. Correspondingly, the first user associated with the first client can supervise the execution condition of the transportation fulfillment task in real time based on the evaluation result information, and ensure that the task can be completed within the preset time period. The specific implementation process can be described in the following embodiment 1, and will not be described in detail here.

Alternatively, in another example, an information handling system may include: a server and a second client. The server side can evaluate and analyze the execution condition of the executed transportation fulfillment task, obtain evaluation result information of the transportation fulfillment task related to different evaluation objects, and send the evaluation result information to the second client side. Correspondingly, a second user associated with the second client can clarify the reason of the task execution abnormity based on the evaluation result information; alternatively, the task performance of the target object may be rated based on the evaluation result information. The specific implementation process can be described in the following embodiment 2, and will not be described in detail here.

Example 1

The information processing procedure of the embodiment of the present application is explained below with reference to the flowchart shown in fig. 2.

S101: the server determines a transportation fulfillment task to be evaluated, and obtains identification information of a plurality of nodes associated with the transportation fulfillment task and setting timeliness information associated with the plurality of nodes respectively.

The trunk transportation of the embodiment of the application can be transportation in a designated area, and if the city is used as a basic unit to perform area division, the transportation can be embodied as transportation between different logistics sites in the same city; or, the transportation between logistics sites of different cities can be embodied, and the actual use requirement is determined. The logistics site is a node in the embodiment of the present application, and may include a warehouse, a machining center, a physical store, a distribution station, and the like.

In an actual application process, the server may determine a transportation fulfillment task to be evaluated according to the information processing request submitted by the first client. Specifically, the first client may provide an operation option for submitting query condition information, and after obtaining the query condition information through the operation option, generate an information processing request and submit the information processing request to the server. Wherein the first client may be deployed on a terminal device associated with the first user.

For example, the first client may use the date information of the current day as a query condition, and request the server to evaluate and analyze all transportation fulfillment tasks of the current day; or, the time period information can be designated as a query condition, and the service end is requested to evaluate and analyze the transportation performance task in a certain time period in the day; or, the identification information of the node may be used as a query condition, and the request server performs evaluation analysis on a transportation fulfillment task associated with a certain node(s); or, the identification information of the area may be a query condition, and the request server performs evaluation analysis on the transportation fulfillment task associated with the node in a certain area(s), and the like.

Or, the server may determine the transportation fulfillment task to be evaluated associated with the user type information according to the user type information of the first user associated with the first client, automatically evaluate and analyze the execution condition of the transportation fulfillment task to be evaluated, and send the evaluation result information to the corresponding first client for display. For example, for a first user (e.g., a manager of a logistics site) associated with a node, the server may determine a transportation performance task associated with the node as a transportation performance task to be evaluated, and perform evaluation analysis; for a first user (e.g., a regional manager) with higher management authority, the service end may determine a transportation performance task associated with a node within its authority range as a transportation performance task to be evaluated, and perform evaluation analysis.

It should be noted that the above automatic analysis process can be embodied as real-time analysis; alternatively, it may be embodied as performing evaluation analysis at preset time intervals; alternatively, the evaluation analysis may be performed when it is determined that the task execution state of the node associated with the transportation fulfillment task changes, which may not be specifically limited in the embodiment of the present application.

In the actual application process, when a transportation fulfillment task is generated, besides the matching relationship between the commodity object and the vehicle executing the transportation operation, it is also necessary to determine which nodes are involved in the whole transportation fulfillment process and the setting time efficiency information associated with each node. The set aging information may include set inbound time information of the vehicle at the node, set outbound time information of the vehicle at the node, and set operation aging information of performing in-station operation in the node.

Thus, the execution condition of the transportation performance task can be evaluated and analyzed by combining the actual aging information (see the following description, which is not detailed here in detail) associated with each node. Specifically, if the actual aging information conforms to the corresponding set aging information, an evaluation result that the task is executed normally can be obtained; and if the actual aging information is not consistent with the corresponding set aging information, the evaluation result of the task execution abnormity can be obtained.

Taking the example where the vehicle 1 delivers the goods in the warehouse a to the physical store 1 and the physical store 2, the transportation work system can obtain the setting aging information shown in the following table 1.

TABLE 1

The set inbound time information related to the downstream node mainly depends on the set outbound time information of the vehicle at the adjacent upstream node and the distance information between the two adjacent nodes. The arrival time T of the vehicle 1 in the physical shop 1₁₃In other words, the outbound time T can be determined₁₂And the distance D between the warehouse A and the physical store 1₁And (4) determining.

Preferably, the set inbound time information may be updated according to influence factors such as weather information of the day of performing the transportation fulfillment task, time zone information (for example, day or night), road condition information (for example, whether traffic is regulated, etc.), driving skill information of a transportation operator (also referred to as a vehicle driver), and vehicle condition information. As an example, an adjustment coefficient associated with each influence factor may be configured, for example, if the driving speed in rainy days is slow, and the corresponding coefficient may be set to 1.2, then the new set arrival time information obtained by performing the update process is (1.2 × T)₁₃) The value of the adjustment coefficient associated with the impact factor in the embodiment of the present application may not be specifically limited.

Generally, a transportation link corresponding to a transportation fulfillment task may include a plurality of nodes, and in the embodiment of the present application, the transportation fulfillment task may be split into at least two operation segments according to the nodes, and the evaluation analysis may be performed on the task execution condition of each operation segment. In the above example, the first work section of the warehouse a to the physical store 1 and the second work section of the physical store 1 to the physical store 2 may be split.

Taking the first operation segment as an example, the following operation links can be included: a transportation work 1 of the vehicle 1 from the warehouse a to the physical shop 1, and an in-station work 2 performed in the physical shop 1. The in-station work 2 may be embodied as a load-off work (a work for unloading a commodity object in an order associated with the physical store 1 from the vehicle 1) and a load-receiving work (a check-in of the unloaded commodity object) performed by an operator associated with the physical store 1.

As an example, the first work segment may also include an in-station work 3 performed in warehouse a, which may be embodied as a loading work performed by a worker associated with warehouse a, i.e. assembling a commodity object in an order associated with vehicle 1 onto vehicle 1.

In order to clearly and clearly clarify the reason of the task execution abnormity, the embodiment of the application can also determine the setting operation timeliness information corresponding to the operation link associated with each operation section in advance.

For the transportation operation, the corresponding setting operation timeliness information can be embodied as the time difference between the setting inbound time of the downstream node and the setting outbound time of the upstream node in the two adjacent nodes. Taking the first operation stage as an example, the setting operation aging associated with the transportation operation 1 can be embodied as (T)₁₃-T₁₂)。

In the in-station work, the unloading work and the receiving work may be considered as a whole, and corresponding setting work time information may be provided for both of them, and for example, the setting work time may be 30 minutes, that is, the unloading work and the receiving work are required to be completed within 30 minutes. In this way, if a delay occurs in the vehicle 1 in the first work session, the cause of the delay can be determined in the transportation work and the in-station work according to the set work efficiency. Alternatively, the respective setting work schedules may be determined for the unloading work and the receiving work, respectively, and for example, the first setting work schedule may be 10 minutes and the second setting work schedule may be 20 minutes, that is, the unloading work is required to be completed within 10 minutes and the receiving work is required to be completed within 20 minutes. In this way, if a delay occurs in the first work stage of the vehicle 1, the cause of the delay can be specified in the transportation work, the unloading work, and the receiving work according to the set work efficiency.

Therefore, if the target operation section with abnormal task execution exists in the operation sections obtained by splitting the transportation performance task, the reason information related to the abnormal task execution can be determined based on the operation timeliness information and the actual operation timeliness information which are set corresponding to the operation links related to the target operation section, namely, the reason for the abnormal task execution is determined to be specifically determined in which operation link the problem occurs, particularly when the abnormal task execution is reflected as vehicle delay, the reason for the abnormal task is determined to be helpful for subsequently determining the processing mode corresponding to the delay, and the problem existing in the transportation performance process is pertinently solved.

In the embodiment of the application, the same setting operation timeliness information can be configured for all nodes; alternatively, the nodes may be configured with personalized setting job timing information according to the actual conditions of the nodes, for example, if there are fewer operators associated with the station 3, the setting job timing information associated with the station 3 may be appropriately adjusted, for example, the unloading job is completed within 20 minutes and the receiving job is completed within 30 minutes.

S102: and determining a first node according to the task execution state information associated with each node, and obtaining the actual timeliness information associated with the first node, wherein the task execution state information associated with the first node is the completed transportation fulfillment task.

As an example, the service end may obtain task state information of the transportation fulfillment task, may further obtain task execution state information corresponding to a node associated with the task if the task state information indicates that the task has started and has not ended, that is, the task is in the process of being executed, and may determine the node as the first node if the task execution state information indicates that the node has completed the transportation fulfillment task (that is, the vehicle has arrived at the node and departs from the node after completing the intra-station work), and obtain actual aging information associated with the first node. The actual aging information may include: the information of the actual arrival time of the vehicle at the first node, the information of the actual departure time of the vehicle at the first node, and the information of the actual operation aging of the in-station operation executed in the first node.

As an example, the actual aging information associated with the first node may be submitted to the server by the transport operating system and the operating system associated with the first node.

As in the above-exemplified example, if the vehicle 1 has delivered the commodity object associated with the physical store 1 to the physical store 1 and is on the way to the physical store 2, the transportation work system can obtain the actual outbound time T when the vehicle 1 issues from the warehouse a₂₂(ii) a When the vehicle 1 arrives at the physical shop 1, the transportation operation system can obtain the actual arrival time T₂₃(ii) a When the vehicle 1 departs from the physical shop 1, the transportation operation system can obtain the actual outbound time T₂₄The above time information may be submitted to the transport operation system server by the transport operator through its associated transport operation system client.

Further, when the worker associated with the physical store 1 starts to perform the unloading work, the store work system can obtain the in-station work start time T₃₁(ii) a When the operator finishes the receiving operation, the shop operation system can obtain the in-station operation ending time T₃₂The above time information can be submitted to the shop operation system server by the in-station operator through the associated shop operation system client. Understandably, (T)₃₂-T₃₁) Namely, the actual work timeliness information associated with the physical shop 1.

As an example, the operating system may synchronize the time information to the server in real time when obtaining the updated time information, so that the server may evaluate the execution of the transportation fulfillment task according to the latest aging information.

Taking the vehicle 1 having a delay in the first working section as an example, the cause of the delay can be determined based on the above-described aging information. Specifically, if (T)₂₃-T₂₂) Over (T)₁₃-T₁₂) If the transportation operation is delayed, the delay caused by the late transportation operation can be determined; if (T)₃₂-T₃₁) If the time exceeds 30 minutes, it is determined that the delay is caused by the untimely operation in the station.

Preferably, after the actual operation aging information is obtained through the operation system associated with the first node, the aging information can be verified by using the actual arrival time information and the actual departure time information of the vehicle at the node. Generally, the waiting time of a vehicle at a station is mainly determined by the working time at the station if (T)₃₂-T₃₁) And (T)₂₄-T₂₃) If the absolute value of the deviation is smaller than the preset value, the condition that the timeliness information submitted by the transportation operation system and the shop operation system is normal can be determined; if the absolute value of the deviation of the first client and the second client exceeds the preset value, the fact that the time efficiency information submitted by the first client and the second client is abnormal can be determined, early warning information can be sent to the first client, and the first user is prompted to conduct problem troubleshooting.

S103: and obtaining evaluation result information according to the set aging information and the actual aging information associated with the first node, and sending the evaluation result information to the first client for information display.

In this embodiment of the application, the evaluation result information may include: the system comprises first evaluation result information corresponding to the first node and second evaluation result information related to the transportation fulfillment task to be evaluated, which is obtained based on the first evaluation result information.

For the first evaluation result information, if the set aging information associated with the first node is consistent with the actual aging information, a first evaluation result that the task of the first node is normally executed can be obtained; otherwise, a first evaluation result of the task execution exception of the first node can be obtained.

The time information can be completely the same, namely the time difference is 0; alternatively, an allowable time difference range may be set, and it is also possible to consider that the aging information matches when the absolute value of the time difference is within the preset time difference range. For example, the predetermined deviation range associated with the arrival time is 5 minutes, if | T₂₃-T₁₃If | is not more than 5 minutes, the first evaluation result that the arrival time of the vehicle 1 in the physical shop 1 is normal can be obtained.

For the second evaluation result, if a first node with an abnormal task execution result exists in the plurality of nodes associated with the transportation fulfillment task, a second evaluation result of the abnormal transportation fulfillment task execution result can be obtained; otherwise, a second evaluation result that the transportation fulfillment task is performed normally can be obtained.

As an example, the server may obtain a preset upper limit value of the vehicle speed, and when a first node with abnormal task execution exists in a plurality of nodes associated with a transportation fulfillment task, if the vehicle runs according to the preset upper limit value of the vehicle speed, it may be ensured that a downstream node can perform related operations according to set timeliness information, the second evaluation result may be marked as normal, and no early warning prompt is temporarily performed to the first user; and if the vehicle runs according to the preset upper vehicle speed limit value and the working timeliness of the downstream node cannot be guaranteed, marking the second evaluation result as abnormal. It should be noted that the preset upper limit value of the vehicle speed may be a fixed value determined according to the driving skill of the transportation operator; or the variable value may be determined according to influence factors such as driving skills of transport workers, current road conditions, and current weather, and the variable value may not be specifically limited in the embodiment of the present application.

In an actual application process, the second evaluation result information may change along with the change of the task execution condition of the downstream node. For example, when the task execution of the physical store 1 is abnormal, the second evaluation result associated with the transportation fulfillment task may be marked as abnormal; if it is subsequently ensured by resource scheduling (e.g., a resource scheduling scheme that may include equipping a straight-through car, replacing a vehicle with good drivability, increasing the number of operators in the station, etc.) that the task of the physical store 2 is performed normally, the second evaluation result associated with the transportation fulfillment task may be marked as normal. Preferably, the second evaluation result information is sent to the first client, and at the same time, a change condition of the second evaluation result information (in this example, the change information may be embodied as abnormal at the time of the physical store 1 and normal at the time of the physical store 2) may also be sent to the first client for information presentation.

Preferably, at least two abnormal levels may be predetermined, and level determination manner information associated with each abnormal level is obtained, so that after evaluation result information of task execution abnormality is obtained, target abnormal level information associated with a transportation fulfillment task is determined and sent to the first client for information display. Therefore, the first user associated with the first client can clarify the priority of exception handling through the target exception level information, so that when at least two tasks with execution exception occur, the task handling sequence can be determined according to the target exception level information associated with each task, and the timeliness and stability of multitasking can be ensured.

As an example, the abnormality levels may be classified according to time difference information between the set aging information and the actual aging information, and correspondingly, the level determination manner information may be embodied as time difference ranges associated with at least two abnormality levels. Taking a vehicle delay as an example, the association between the delay time (i.e., the actual aging information is later than the set aging information) and the abnormality level may be as shown in table 2 below.

TABLE 2

Anomaly level information	Rank determination mode information
		Abnormal grade 1	Within 30 minutes
Abnormal class 2	30 to 60 minutes
		……	……

In this example, the time difference information associated with the node with the abnormal task execution may be summarized to obtain the time difference information associated with the transportation fulfillment task, and the obtained time difference information is sent to the first client for information display, so that the first user may specify the total advance time or the total delay time after the whole transportation fulfillment task is executed.

Or, as another example, the exception grades may be divided according to processing resource information required for exception handling, and correspondingly, the grade determination manner may be embodied as resource numerical values associated with at least two exception grades respectively. The processing resources can be embodied as human resources (mainly embodied as the number of operators, the more the processing resources required for exception handling), and/or equipment resources (mainly embodied as corresponding resources such as the number of straight-run vehicles, the more the number of straight-run vehicles, the better the drivability of the replaced vehicle, and the more the processing resources required for exception handling).

In this example, the resource values associated with the nodes with abnormal task execution may be summarized to obtain the resource values associated with the transportation fulfillment task, and the resource values are sent to the first client for information display, so that the first user may determine the total resource values consumed after the whole transportation fulfillment task is completed, and particularly, when a vehicle delay occurs, the total consumption of the task is increased.

Preferably, the embodiment of the present application may indicate different evaluation result information in different ways. For example, if the evaluation result indicates that the task is normally executed, the evaluation result can be indicated by a green symbol; if the evaluation result indicates that the task is abnormal in execution, the evaluation result can be indicated by a red symbol.

In addition, for the case of abnormal task execution, whether the first node completes the transportation fulfillment task in advance or completes the transportation fulfillment task in delay, the time effectiveness information and the operation arrangement of the downstream node are affected, and therefore the task execution can be marked by a red symbol; alternatively, the two situations can be distinguished, for example, the evaluation result indicates that the task is abnormally executed and the abnormal mode is vehicle delay, and can be marked by a red symbol; the evaluation result shows that the task is abnormally executed and the abnormal mode is that the vehicle is ahead of schedule, and the abnormal mode can be marked by a yellow symbol.

Preferably, in addition to full link presentation of the performance of the transport fulfillment task to be evaluated, as described above, the first user may also request to view the performance of the task at certain node(s) in the link. Specifically, the first client may obtain identification information of the third node and submit the identification information to the server, for example, the first user may determine the third node from the nodes associated with the transportation fulfillment task to be evaluated in a click or manual input manner, and correspondingly, the server may determine a target transportation fulfillment task associated with the third node, obtain task execution state information and first evaluation result information associated with each target transportation fulfillment task by the third node, and send the task execution state information and the first evaluation result information to the first client for information presentation.

As an example, the server may directly send the information to the first client for presentation; or after the information is summarized, the summarized information is sent to the first client side for displaying. The summary information may specifically include first summary information related to the arrival of the vehicle and second summary information related to the departure of the vehicle.

As an example, the first summary information may include: total train number information (which may be determined according to the number of target transportation fulfillment tasks), inbound train number information and inbound train number information (which may be determined according to task execution state information associated by the third node under each target transportation fulfillment task), delayed train number information (which may be determined according to first evaluation result information associated by the third node under each target transportation fulfillment task), inbound punctual rate (which may be determined according to inbound train number information and delayed train number information), and so on. The second summary information may include: total number of vehicles information, number of vehicles that have left the station, number of vehicles in transit information, delay number of vehicles information, punctuality rate of leaving the station (which can be determined from the number of vehicles that have left the station and the delay number of vehicles) and the like.

S104: and determining a second node according to the task execution state information associated with each node, obtaining the predicted timeliness information associated with the second node, and sending the predicted timeliness information to the first client, wherein the task execution state information associated with the second node is an unfinished transportation fulfillment task.

In the embodiment of the application, when the server determines that the actual aging information associated with the first node does not accord with the set aging information, the server can obtain the predicted aging information associated with the second node (possibly, the vehicle does not reach the node, or possibly, the vehicle reaches the node but does not go out of the station) which does not finish the transportation performance task, and send the predicted aging information to the first client, so that the first user can dynamically schedule the resource of the second node according to the predicted aging information, and the aging stability of the transportation performance task is ensured. The predicted aging information may include: the predicted departure time information of the vehicle at the second node and the predicted departure time information of the vehicle at the second node.

Specifically, the server may obtain current position information of the vehicle, and call an interface of a map service for performing navigation planning by using the current position information as a parameter, so that the map service obtains vehicle speed information of the vehicle and distance information between the current position and the second node, and determines predicted aging information associated with the second node.

In the embodiment of the application, the server can obtain the current position information of the vehicle in a plurality of ways, for example, in one way, if the vehicle is provided with a GPS module, the current position information of the vehicle can be determined in a way of obtaining the GPS information; in another mode, if the vehicle is not provided with a GPS module or the GPS information acquisition fails, the current location information of the vehicle may be determined by acquiring the location information of the transportation operation client associated with the transportation operation worker.

Preferably, if the service end fails to call the service interface, the time efficiency information can be predicted in the following manner.

1. Aging information prediction according to cached navigation information

The server side carries out one-time aging information prediction at preset time intervals (for example, 5 minutes, which can be specifically determined by combining with actual use requirements), and can carry out service interface calling when the aging information prediction is carried out; or, the service interface may be called in real time, and the real-time navigation information (which may include the vehicle speed information and the distance information) of the vehicle may be obtained and locally cached. Therefore, when the service interface is determined to be failed to call, the time efficiency information can be predicted according to the cached navigation information.

For example, the server periodically acquires navigation information of the vehicle according to the minute level (generally, the time interval for acquiring the navigation information is less than the time interval for predicting the aging information), if the aging information prediction is carried out at 8:10 and the calling of the service interface fails, the navigation information related to the vehicle can be acquired from a local cache, and the predicted aging information related to the second node is determined according to the vehicle speed information and the distance information at 8: 09.

Preferably, the preset aging information may be optimized according to a time difference between the cache time and the current time and the vehicle speed information. Specifically, considering that the vehicle normally runs at a steady speed, the time length corresponding to the running time difference of the vehicle according to the steady speed and the corresponding running distance can be obtained, then based on the distance information between the position of the vehicle at 8:09 and the second node, the predicted distance between the current position of the vehicle and the second node can be obtained, and new predicted aging information can be obtained based on the predicted distance and the vehicle speed information.

2. Time efficiency information prediction by using information calibration mode

The server side can determine total running time information related to the adjacent nodes according to the speed information of the vehicle and the distance information between the adjacent nodes, then obtain running time information of the vehicle from the previous node to the current position, and according to the total running time information and the running time information, the predicted timeliness information of the vehicle from the next node can be obtained.

For example, according to the current traveling speed of the vehicle 1 and the distance D between the physical store 1 and the physical store 2₂The total travel time of the vehicle 1 from the physical store 1 to the physical store 1 is determined to be 60 minutes, and if the travel time is 20 minutes since the vehicle 1 departed from the physical store 1, it is determined that it takes 40 minutes to arrive at the physical store2. If the current time is 7:20, the predicted inbound time T may be determined₃₅At 8:00, the predicted outbound time T can be determined by combining the setting operation timeliness information related to the entity shop 2₃₆If the working aging is set to 30 minutes, T₃₆May be 8: 30.

In addition, under the action of different influence factors, the total travel time related to the same road segment may be different, so that the total travel time can be optimized according to the influence factors.

In the practical application process, when the aging information is predicted aiming at the second node, the aging information can be predicted only between the nodes with the upstream and downstream relevance, namely aiming at the node which is about to be reached by the vehicle; alternatively, the age information prediction may be performed for all downstream nodes, i.e., for all non-arriving nodes including the node at which the vehicle is about to arrive.

For example, the whole transportation link includes 4 nodes, where a station 1 has completed a transportation performance task, and a station 2, a station 3, and a station 4 have not completed a transportation performance task, and only the predicted aging information of the adjacent node of the station 1, that is, the station 2, may be predicted and sent to the first client, so as to remind the first user to schedule the resource of the station 2 to which the vehicle is about to arrive, and make a task processing preparation in advance; or the predicted aging information of all the sites which do not complete the transportation fulfillment task, that is, the sites 2, 3 and 4, may be predicted to be sent to the first client, and correspondingly, the first user may schedule the resources of each site respectively, or may schedule the resources of some sites according to the usage requirement.

Compared with the prior art that only the current position information and the current speed information of the vehicle can be displayed, the method and the device for predicting the time efficiency information of the downstream node can predict the time efficiency information of the downstream node, and provide technical guidance for resource scheduling and work arrangement of the downstream node.

Example 2

In the embodiment of the present application, in addition to performing real-time and dynamic tracking analysis on the execution condition of the transportation fulfillment task being executed, the execution condition of the transportation fulfillment task that has been executed may also be analyzed and summarized based on different usage requirements, and the following explains the processing procedure of the historical data with reference to the flowchart shown in fig. 3.

S201: the service end obtains a task information base and an evaluation object information base, wherein the task information base stores information related to the executed transportation performance task, and the evaluation object information base stores identification information of evaluation objects related to different information processing modes and data type information and abnormal evaluation mode information required by evaluation and analysis of the evaluation objects.

In an embodiment of the present application, the information related to the performed transportation fulfillment task may include at least: the specific content and the obtaining method of the information include, for example, as described in embodiment 1 above, and details are not described here.

It should be noted that, the related data of each operation link is usually independently stored in the corresponding operation system, if the abnormality of a certain transportation fulfillment task needs to be traced, in the prior art, data is respectively pulled from each operation system to obtain actual aging information, and then data comparison is performed with the set aging information item by item, so that the data analysis efficiency is low, and only the waybill number is supported as the query condition to perform data query, and the transportation fulfillment task cannot be longitudinally supervised based on other query conditions, for example, all the transportation fulfillment tasks associated with a node are uniformly queried and supervised in real time.

Correspondingly, the server in the embodiment of the application can create the task information base to centrally manage the data scattered in different operating systems, which is beneficial to quickly analyzing the data of the whole link aiming at the transportation fulfillment task.

As described above, the second user may request the server to analyze and summarize the historical transportation fulfillment task according to different usage requirements, and the server corresponding to different usage requirements needs to analyze and summarize the historical data in different processing manners, so that in the embodiment of the present application, an evaluation object information base may be created in advance, an evaluation object associated with different processing manners is determined, and data type information and abnormal evaluation manner information required for evaluating and analyzing the evaluation object are determined, so that the server may provide a targeted analysis service to the second user.

By way of an example, through history tracing, the embodiment of the application may determine the reason for the occurrence of the abnormality in the task execution process, so as to perform targeted improvement and optimization in the following. Under the use requirement, the corresponding evaluation object may include: the transportation operation and the in-station operation are respectively associated with operation duration, and for the transportation operation duration, the associated data type may include: the set outbound time and the actual outbound time of the vehicle at the previous node, and the set inbound time and the actual inbound time of the vehicle at the next adjacent node may be associated with the abnormality evaluation mode including: the actual operation time efficiency exceeds the set operation time efficiency; for on-site job durations, the associated data types may include: the setting operation aging information of the node and the actual operation aging information of the node, and the associated abnormal evaluation mode may include: the actual operation time efficiency exceeds the set operation time efficiency.

Alternatively, as another example, by history tracing, the embodiment of the present application may evaluate the task execution condition of the target object (for example, the target object may be a vehicle, an organization to which the vehicle belongs, a worker, a node, and the like), rank the target object according to the number of times or frequency of task execution anomalies associated with the target object, and further perform technical guidance and skill training on the target object when needed. Under the use requirement, the corresponding evaluation object may include: the operation duration, the operation delay ratio and the like which are respectively associated with the transportation operation and the in-station operation. For job stall ratios, the associated data types may include: the total number of the historical transportation performing tasks associated with the target object and the number of the delayed historical transportation performing tasks, and the associated abnormal evaluation mode may include: the operation delay ratio exceeds a preset ratio.

S202: and the second client generates an information processing request and submits the information processing request to the server, wherein the information processing request comprises target information processing mode information and target query condition information.

In the embodiment of the application, the server side performs centralized management on data in different operating systems, and can also provide personalized data query service according to the use requirements of users, so as to realize unified query and supervision on different transportation performance tasks.

Specifically, the second client may provide an operation option for submitting the target information processing mode information and the target query condition information, and after obtaining the information through the operation option, generate an information processing request and submit the information processing request to the server. Wherein the second client may be deployed on a terminal device associated with the second user.

For example, the second client may use the waybill number as a query condition to request the server to analyze and summarize the transportation fulfillment task associated with the waybill number; or, the historical time period can be used as a query condition, and the request service end analyzes and summarizes the transportation performance tasks related to the historical time period; or, the identification information of the node can be used as a query condition to request the server side to analyze and summarize the transportation performance tasks related to the node; or, the identification information of the region can be used as a query condition to request the server to analyze and summarize the transportation performance tasks related to the nodes in the region; or, the identification information of the vehicle can be used as a query condition to request the service end to analyze and summarize the transportation performance tasks related to the vehicle; or, the identification information of the operator may be used as a query condition, and the request server analyzes and summarizes the transportation fulfillment task associated with the operator, and the like. The query condition information may not be specifically limited in the embodiment of the present application.

S203: and determining a target transportation fulfillment task according to the target query condition information, and acquiring target data under the data type corresponding to the target evaluation object associated with the target information processing mode from the information related to the target transportation fulfillment task.

S204: and obtaining evaluation result information of the target evaluation object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to a second client for information display.

Taking the analysis of the task execution abnormal reason optimization task execution process as an example, the server determines that the target evaluation object associated with the target information processing mode is transportation operation duration and in-station operation duration, so that after the target transportation performance task is determined based on the target query condition information, information associated with the target transportation performance task is read from the task information base, target data under the data type corresponding to the target evaluation object is obtained from the information, the target data is compared with the abnormal evaluation mode information associated with the target evaluation object, and an operation link with abnormal operation duration is determined, wherein the operation link is a reason causing the transportation performance task to be abnormal, optimization improvement can be subsequently performed according to the abnormal reason, and the subsequently executed transportation performance task can be performed according to preset timeliness.

Example 3

Embodiment 3 is a method corresponding to embodiment 1, and provides an information processing method from the perspective of a server, and referring to fig. 4, the method may specifically include:

s301: determining a transportation fulfillment task to be evaluated, and acquiring identification information of a plurality of nodes associated with the transportation fulfillment task and setting timeliness information respectively associated with the plurality of nodes;

s302: determining a first node according to the task execution state information of the plurality of nodes, and obtaining actual timeliness information associated with the first node, wherein the task execution state information of the first node is the completed transportation fulfillment task;

s303: and obtaining evaluation result information and sending the evaluation result information to the first client according to the set aging information and the actual aging information associated with the first node.

Example 4

Embodiment 4 is a method corresponding to embodiment 1, and provides an information processing method from the perspective of a first client, and referring to fig. 5, the method may specifically include:

s401: the first client provides operation options for submitting query condition information;

s402: after the query condition information is obtained through the operation options, generating an information processing request and submitting the information processing request to a server, so that the server determines a transportation fulfillment task to be evaluated according to the query condition information and obtains evaluation result information associated with the transportation fulfillment task;

s403: and displaying information on the evaluation result information related to the transportation performance task sent by the server.

Example 5

Embodiment 5 is a method corresponding to embodiment 2, and provides an information processing method from the perspective of a server, and referring to fig. 6, the method may specifically include:

s501: acquiring a task information base and an evaluation object information base, wherein the task information base stores information related to a finished transportation performance task, and the evaluation object information base stores identification information of an evaluation object related to different information processing modes and data type information and abnormal evaluation mode information required by evaluation and analysis of the evaluation object;

s502: acquiring an information processing request submitted by a second client, wherein the information processing request comprises target information processing mode information and target query condition information;

s503: determining a target transportation fulfillment task according to the target query condition information, and acquiring target data under a data type corresponding to a target evaluation object associated with the target information processing mode from information related to the target transportation fulfillment task;

s504: and obtaining evaluation result information of the target evaluation object according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, and sending the evaluation result information to the second client.

Example 6

Embodiment 6 is a method corresponding to embodiment 2, and from the perspective of the second client, an information processing method is provided, and with reference to fig. 7, the method may specifically include:

s601: the second client provides operation options for submitting target information processing mode information and target query condition information;

s602: generating an information processing request after obtaining the target information processing mode information and the target query condition information through the operation options, and submitting the information processing request to a server, so that the server determines a target transportation fulfillment task according to the target query condition, and evaluates the target transportation fulfillment task according to a target evaluation object associated with the target information processing mode to obtain evaluation result information of the target evaluation object;

s603: and displaying the evaluation result information of the target evaluation object sent by the server.

For the parts not described in detail in embodiments 3 to 6, reference may be made to the descriptions in the embodiments, which are not repeated herein.

Corresponding to embodiment 1, an embodiment of the present application further provides an information processing apparatus, referring to fig. 8, where the apparatus is applied to a server and includes:

a set timeliness information obtaining unit 701, configured to determine a transportation fulfillment task to be evaluated, and obtain identification information of a plurality of nodes associated with the transportation fulfillment task and set timeliness information associated with each of the plurality of nodes;

an actual timeliness information obtaining unit 702, configured to determine a first node according to the task execution state information of the multiple nodes, and obtain actual timeliness information associated with the first node, where the task execution state information of the first node is a completed transportation performance task;

an evaluation result information obtaining unit 703 is configured to obtain evaluation result information according to the set aging information and the actual aging information associated with the first node, and send the obtained evaluation result information to the first client.

Wherein the apparatus further comprises:

a predicted aging information obtaining unit, configured to determine a second node according to task execution state information of the node when it is determined that actual aging information associated with the first node does not match set aging information, and obtain predicted aging information associated with the second node, where the task execution state information of the second node is an uncompleted transportation performing task; and sending the predicted aging information associated with the second node to the first client.

The predicted aging information obtaining unit is specifically configured to: obtaining current position information of a vehicle associated with the transportation fulfillment task; and calling an interface of a map service for navigation planning by taking the current position information as a parameter so that the map service determines the predicted aging information associated with the second node according to the speed information of the vehicle and the distance information between the vehicle and the second node.

Wherein the apparatus further comprises:

a set operation timeliness information obtaining unit, configured to split the transportation performance task into at least two operation segments, and obtain set operation timeliness information corresponding to an operation link associated with each operation segment, where the operation link includes a transportation operation link and an in-station operation link;

the actual operation timeliness information obtaining unit is used for obtaining actual operation timeliness information corresponding to an operation link related to the target operation section when the target operation section with abnormal task execution exists in the at least two operation sections;

and the reason information determining unit is used for determining the reason information related to the task execution abnormity according to the set operation aging information and the actual operation aging information, and sending the reason information to the first client.

Wherein the apparatus further comprises:

a node identification information obtaining unit, configured to obtain identification information of a third node submitted by the first client, where the third node belongs to multiple nodes associated with the transportation fulfillment task to be evaluated;

an information sending unit, configured to determine a target transportation fulfillment task associated with the third node, where the target transportation fulfillment task at least includes the transportation fulfillment task to be evaluated; and acquiring task execution state information and evaluation result information related to each target transportation fulfillment task of the third node, and sending the task execution state information and the evaluation result information to the first client.

Wherein the apparatus further comprises:

an abnormal grade information obtaining unit, configured to determine at least two abnormal grades and obtain grade determination mode information associated with the at least two abnormal grades respectively;

and the abnormal grade information determining unit is used for determining target abnormal grade information associated with the transportation performance task to be evaluated after obtaining evaluation result information of task execution abnormality, and sending the target abnormal grade information to the first client for information display.

The set timeliness information comprises set inbound time information of a vehicle related to the transportation performance task at the node, set outbound time information of the vehicle at the node and set operation timeliness information of executing in-station operation in the node.

The actual timeliness information comprises actual inbound time information of a vehicle related to the transportation fulfillment task at the first node, actual outbound time information of the vehicle at the first node, and actual operation timeliness information of executing in-station operation in the first node.

Wherein the evaluation result information includes first evaluation result information associated with the first node and second evaluation result information associated with the transportation fulfillment task obtained based on the first evaluation result information.

Corresponding to embodiment 1, an embodiment of the present application further provides an information processing apparatus, referring to fig. 9, which is applied to a first client, and includes:

an operation option providing unit 801 for providing an operation option for submitting query condition information;

an information processing request submitting unit 802, configured to generate an information processing request and submit the information to a server after obtaining the query condition information through the operation option, so that the server determines a transportation fulfillment task to be evaluated according to the query condition information, and obtains evaluation result information associated with the transportation fulfillment task;

and an information display unit 803, configured to display information of the evaluation result information associated with the transportation performance task sent by the server.

Corresponding to embodiment 2, an embodiment of the present application further provides an information processing apparatus, referring to fig. 10, where the apparatus is applied to a server and includes:

an information base obtaining unit 901, configured to obtain a task information base and an evaluation object information base, where the task information base stores information related to a transportation fulfillment task that has been executed, and the evaluation object information base stores identification information of an evaluation object related to different information processing manners, and data type information and abnormality evaluation manner information that are required for evaluating and analyzing the evaluation object;

an information processing request obtaining unit 902, configured to obtain an information processing request submitted by a second client, where the information processing request includes target information processing mode information and target query condition information;

a target data obtaining unit 903, configured to determine a target transportation fulfillment task according to the target query condition information, and obtain target data in a data type corresponding to a target evaluation object associated with the target information processing manner from information related to the target transportation fulfillment task;

an evaluation result information obtaining unit 904, configured to obtain, according to the target data and the abnormal evaluation mode information corresponding to the target evaluation object, evaluation result information of the target evaluation object, and send the evaluation result information to the second client.

Corresponding to embodiment 2, an embodiment of the present application further provides an information processing apparatus, referring to fig. 11, which is applied to a second client, and includes:

an operation option providing unit 1001 configured to provide an operation option for submitting target information processing manner information and target query condition information;

an information processing request submitting unit 1002, configured to generate an information processing request after obtaining the target information processing manner information and the target query condition information through the operation option, and submit the information processing request to a server, so that the server determines a target transportation fulfillment task according to the target query condition, and performs evaluation processing on the target transportation fulfillment task according to a target evaluation object associated with the target information processing manner, to obtain evaluation result information of the target evaluation object;

an information display unit 1003, configured to perform information display on the evaluation result information of the target evaluation object sent by the server.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

And an electronic device comprising:

one or more processors; and

providing operation options for submitting query condition information;

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

Fig. 12 illustrates an architecture of a computer system, which may include, in particular, a processor 1110, a video display adapter 1111, a disk drive 1112, an input/output interface 1113, a network interface 1114, and a memory 1120. The processor 1110, the video display adapter 1111, the disk drive 1112, the input/output interface 1113, the network interface 1114, and the memory 1120 may be communicatively connected by a communication bus 1130.

The processor 1110 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided by the present Application.

The Memory 1120 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. Memory 1120 may store an operating system 1121 for controlling the operation of computer system 1100, a Basic Input Output System (BIOS) for controlling low-level operations of computer system 1100. In addition, a web browser 1123, a data store management system 1124, and an information processing system 1125, among others, may also be stored. The information processing system 1125 may be a server that implements the operations of the foregoing steps in this embodiment. In summary, when the technical solution provided by the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1120 and called for execution by the processor 1110.

The input/output interface 1113 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

Network interface 1114 is used to connect to a communications module (not shown) to enable the device to interact with other devices for communication. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).

Bus 1130 includes a path that transfers information between the various components of the device, such as processor 1110, video display adapter 1111, disk drive 1112, input/output interface 1113, network interface 1114, and memory 1120.

In addition, the computer system 1100 may also obtain information of specific pickup conditions from the virtual resource object pickup condition information database 1141 for performing condition judgment, and the like.

It should be noted that although the above devices only show the processor 1110, the video display adapter 1111, the disk drive 1112, the input/output interface 1113, the network interface 1114, the memory 1120, the bus 1130 and so on, in a specific implementation, the devices may also include other components necessary for normal operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.

Where fig. 13 exemplarily illustrates an architecture of an electronic device, for example, the device 1200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, and so forth.

Referring to fig. 13, device 1200 may include one or more of the following components: processing component 1202, memory 1204, power component 1206, multimedia component 1208, audio component 1210, input/output (I/O) interface 1212, sensor component 1214, and communications component 1216.

The processing component 1202 generally controls overall operation of the device 1200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 1202 may include one or more processors 1220 to execute instructions to perform all or a portion of the steps of the methods provided by the disclosed subject matter. Further, the processing component 1202 can include one or more modules that facilitate interaction between the processing component 1202 and other components. For example, the processing component 1202 can include a multimedia module to facilitate interaction between the multimedia component 1208 and the processing component 1202.

The memory 1204 is configured to store various types of data to support operation at the device 1200. Examples of such data include instructions for any application or method operating on device 1200, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1204 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A power supply component 1206 provides power to the various components of the device 1200. Power components 1206 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 1200.

The multimedia component 1208 includes a screen that provides an output interface between the device 1200 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1208 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 1200 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

Audio component 1210 is configured to output and/or input audio signals. For example, audio assembly 1210 includes a Microphone (MIC) configured to receive external audio signals when device 1200 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1204 or transmitted via the communication component 1216. In some embodiments, audio assembly 1210 further includes a speaker for outputting audio signals.

The I/O interface 1212 provides an interface between the processing component 1202 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 1214 includes one or more sensors for providing various aspects of state assessment for the device 1200. For example, the sensor assembly 1214 may detect an open/closed state of the device 1200, the relative positioning of the components, such as a display and keypad of the device 1200, the sensor assembly 1214 may also detect a change in the position of the device 1200 or a component of the device 1200, the presence or absence of user contact with the device 1200, orientation or acceleration/deceleration of the device 1200, and a change in the temperature of the device 1200. The sensor assembly 1214 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 1214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1214 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communications component 1216 is configured to facilitate communications between device 1200 and other devices in a wired or wireless manner. The device 1200 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1216 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 1216 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the device 1200 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as memory 1204 comprising instructions, executable by processor 1220 of device 1200 to perform the methods provided by the present disclosure is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The information processing method, the information processing apparatus, and the electronic device provided by the present application are introduced in detail, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. An information processing method characterized by comprising:

2. The method of claim 1, further comprising:

when the fact that the actual timeliness information related to the first node is inconsistent with the set timeliness information is determined, a second node is determined according to the task execution state information of the plurality of nodes, and the predicted timeliness information related to the second node is obtained, wherein the task execution state information of the second node is an unfinished transportation performing task;

and sending the predicted aging information associated with the second node to the first client.

3. The method of claim 2,

the obtaining of the predicted aging information associated with the second node includes:

obtaining current position information of a vehicle associated with the transportation fulfillment task;

and calling an interface of a map service for navigation planning by taking the current position information as a parameter so that the map service determines the predicted aging information associated with the second node according to the speed information of the vehicle and the distance information between the vehicle and the second node.

4. The method of claim 1, further comprising:

splitting the transportation performance task into at least two operation sections, and obtaining setting operation timeliness information corresponding to operation links associated with the operation sections, wherein the operation links comprise a transportation operation link and an in-station operation link;

if a target operation section with abnormal task execution exists in the at least two operation sections, actual operation timeliness information corresponding to an operation link associated with the target operation section is obtained;

and determining reason information related to task execution abnormity according to the set operation timeliness information and the actual operation timeliness information, and sending the reason information to the first client.

5. The method of claim 1, further comprising:

obtaining identification information of a third node submitted by the first client, wherein the third node belongs to a plurality of nodes related to the transportation fulfillment task to be evaluated;

determining a target transportation fulfillment task associated with the third node, the target transportation fulfillment task including at least the transportation fulfillment task to be evaluated;

and acquiring task execution state information and evaluation result information related to each target transportation fulfillment task of the third node, and sending the task execution state information and the evaluation result information to the first client.

6. The method of claim 1, further comprising:

determining at least two abnormal grades, and obtaining grade determining mode information respectively associated with the at least two abnormal grades;

and after obtaining the evaluation result information of the task execution abnormity, determining the target abnormity grade information associated with the transportation performance task to be evaluated, and sending the target abnormity grade information to the first client for information display.

7. The method of claim 1,

the set timeliness information comprises set inbound time information of a vehicle related to the transportation performance task at the node, set outbound time information of the vehicle at the node, and set operation timeliness information of executing in-station operation in the node.

8. The method of claim 1,

9. The method of claim 1,

the assessment result information includes first assessment result information associated with the first node and second assessment result information associated with the transportation fulfillment task obtained based on the first assessment result information.

10. An information processing method characterized by comprising:

11. An information processing method characterized by comprising:

12. An information processing method characterized by comprising:

13. An information processing apparatus, applied to a server, includes:

14. An information processing apparatus, applied to a first client, includes:

15. An information processing apparatus, applied to a server, includes:

16. An information processing apparatus, applied to a second client, comprising:

17. An electronic device, comprising:

one or more processors; and

18. An electronic device, comprising:

one or more processors; and

providing operation options for submitting query condition information;

19. An electronic device, comprising:

one or more processors; and

20. An electronic device, comprising:

one or more processors; and