CN113128933A - Abnormity positioning method and device - Google Patents

Abnormity positioning method and device Download PDF

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Publication number
CN113128933A
CN113128933A CN202110425376.7A CN202110425376A CN113128933A CN 113128933 A CN113128933 A CN 113128933A CN 202110425376 A CN202110425376 A CN 202110425376A CN 113128933 A CN113128933 A CN 113128933A
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time
planned
actual
fleet
delivery
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CN113128933B (en
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张雅琳
亢亚茹
岳名洋
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0833Tracking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0835Relationships between shipper or supplier and carriers
    • G06Q10/08355Routing methods

Abstract

The application provides an anomaly positioning method and an anomaly positioning device, which are applied to a fast-forwarding scene, wherein the method comprises the following steps: when a delivery message sent by a sorting center is received, acquiring actual delivery time and a terminal fleet identifier carried in the delivery message; selecting a virtual link according to the actual delivery time and the terminal fleet identifier, and re-determining the planned inspection time and the planned told delivery time according to the selected virtual link; wherein the virtual link is a virtual link established for the sorting center to end fleet; determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time; determining whether the tail motorcade is abnormal in the cargo inspection stage according to the actual cargo inspection time of the tail motorcade and the redetermined planned cargo inspection time; determining whether the end fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the end fleet. The method can accurately realize abnormal positioning.

Description

Abnormity positioning method and device
Technical Field
The invention relates to the technical field of internet, in particular to an abnormity positioning method and device.
Background
Currently, in a fast/heavy shipping scenario, a sorting center delivers goods directly to a city distribution fleet and the like, which is then delivered directly to a user, and therefore such a city distribution fleet is commonly referred to as an end fleet.
In the process of implementing the application, the inventor finds that in a fast-forwarding scene, if abnormal transportation and abnormal due delivery occur, the abnormality cannot be located.
Disclosure of Invention
In view of this, the present application provides an anomaly locating method and system, which can accurately implement anomaly locating.
In order to solve the technical problem, the technical scheme of the application is realized as follows:
in one embodiment, an anomaly positioning method is provided, which is applied to a fast-transit scene, and the method includes:
when a delivery message sent by a sorting center is received, acquiring actual delivery time and a terminal fleet identifier carried in the delivery message;
selecting a virtual link according to the actual delivery time and the terminal fleet identifier, and re-determining the planned inspection time and the planned told delivery time according to the selected virtual link; wherein the virtual link is a virtual link established for the sorting center to end fleet;
determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time;
determining whether the tail motorcade is abnormal in the cargo inspection stage according to the actual cargo inspection time of the tail motorcade and the redetermined planned cargo inspection time;
determining whether the end fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the end fleet.
In another embodiment, an anomaly locating device is provided, which is applied to a fast-transit scene, and comprises: the device comprises a configuration unit, a receiving unit, an acquisition unit, a selection unit, a first determination unit, a second determination unit and a third determination unit;
the configuration unit is used for configuring the planned delivery time;
the receiving unit is used for receiving the delivery message sent by the sorting center;
the acquiring unit is used for acquiring the actual delivery time and the tail fleet identification carried in the delivery message when the receiving unit receives the delivery message sent by the sorting center;
the selection unit is used for selecting a virtual link according to the actual delivery time and the tail fleet identification acquired by the acquisition unit; wherein the virtual link is a virtual link established for the sorting center to end fleet;
the first determining unit is used for re-determining the planned goods inspection time and the planned good delivery time according to the virtual link selected by the selecting unit;
the second determining unit is used for determining whether the sorting center is abnormal or not according to the actual delivery time acquired by the acquiring unit and the planned delivery time configured by the configuration unit;
the third determining unit is used for determining whether the tail motorcade is abnormal in the goods inspection stage according to the actual goods inspection time and the redetermined planned goods inspection time of the tail motorcade; determining whether the end fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the end fleet.
In another embodiment, an electronic device is provided comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for anomaly location when executing the program.
In another embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the anomaly locating method.
As can be seen from the above technical solutions, in the above embodiments, the route between the sorting center and the end fleet is supplemented by establishing a virtual link between the sorting center and the end fleet; selecting a virtual link according to the actual delivery time and the terminal fleet identification in the delivery message, and re-determining the planned inspection time and the planned due delivery time according to the selected virtual link; determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time; determining whether the tail motorcade is abnormal in the cargo inspection stage according to the actual cargo inspection time of the tail motorcade and the redetermined planned cargo inspection time; determining whether the end fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the end fleet. The scheme can accurately realize abnormal positioning.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced 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 based on these drawings without inventive labor.
FIG. 1 is a schematic diagram of a courier scenario in a prior implementation;
FIG. 2 is a schematic view of a courier scenario in an embodiment of the present application;
fig. 3 is a schematic diagram illustrating an exception positioning process in an embodiment of the present application;
fig. 4 is a schematic view illustrating an anomaly locating process in the second embodiment of the present application;
FIG. 5 is a schematic diagram of an apparatus for implementing the above technique in an embodiment of the present application;
fig. 6 is a schematic physical structure diagram of an electronic device according to 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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not explicitly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail with specific examples. Several of the following embodiments may be combined with each other and some details of the same or similar concepts or processes may not be repeated in some embodiments.
The embodiment of the application provides an abnormity positioning method which is applied to a fast transport scene, a virtual link is established between a sorting center and a tail end motorcade to supplement a network structure of a routing system between the sorting center and the tail end motorcade, and the abnormity positioning of the sorting center and the tail end motorcade is realized, namely clear responsibility judgment can be realized.
One or more virtual links may be established between the sorting center to an end fleet of vehicles, and an departure time and a departure time are configured for each virtual link, wherein the departure time is subsequent to the departure time.
And selecting a virtual link corresponding to the tail end fleet according to the departure time.
In the embodiment of the application, the association relationship is configured in advance for each end fleet: and the latest arrival time is related to the planned goods inspection time and the planned proper delivery time. As can be expressed as: latest vehicle time (10 o' clock): planned inspection time (10: 30): the airtime is planned (12: 30).
In a specific implementation, each end fleet is corresponding to several virtual links, and several latest arrival vehicle times are configured, so that one or more groups of associations of the latest arrival vehicle times with the planned goods inspection time and the planned due delivery time are configured for one end fleet.
In specific implementation, the system can pre-configure planned delivery time, planned inspection time and planned due delivery time between deliveries, and the planned inspection time and the planned due delivery time are re-determined by combining the association relationship between the arrival time of the virtual link and the end fleet.
All the time set in the embodiment of the application is within a preset time period, such as one day, so that the time sequence relationship is judged, and certainly, the time sequence relationship can be planned for longer time, such as 1 week and one month, so that when one time is identified, the time sequence is judged by using a specific week identification or a specific month identification plus the specific time.
Referring to fig. 1, fig. 1 is a schematic diagram of a fast freight scenario in a conventional implementation.
Referring to fig. 2, fig. 2 is a schematic view of a fast freight scenario in the embodiment of the present application.
In fig. 1, no actual capacity transportation exists between the sorting center and the end fleet, and the sorting center and the end fleet are considered as a whole, so that whether the sorting center is abnormal or the end fleet is abnormal cannot be positioned in order determination.
In fig. 2, a virtual link is established between the sorting center and the end fleet, two nodes (the sorting center and the end fleet) are connected through the virtual link, the sorting center and the end fleet are regarded as different nodes, and whether the sorting center is abnormal or the end fleet is abnormal can be positioned in responsibility determination.
The following describes in detail a process of implementing anomaly location in an embodiment of the present application with reference to the accompanying drawings.
Example one
Referring to fig. 3, fig. 3 is a schematic view illustrating an anomaly locating process according to a first embodiment of the present application. The method comprises the following specific steps:
step 301, when receiving a shipping message sent by a sorting center, acquiring actual shipping time and an end fleet identifier carried in the shipping message.
In practical application, the delivery message may not be modified in the embodiment of the present application, and the delivery message carries the actual delivery time and the end fleet identifier, where the end fleet identifier is the destination website address in the delivery message.
In addition to carrying the actual delivery time and the end fleet identification, the delivery message may also carry, but is not limited to, the following information:
the order number, the operator identification, the originating site identification, the operating time, etc.
Step 302, selecting a virtual link according to the actual delivery time and the terminal fleet identification, and re-determining the planned inspection time and the planned due delivery time according to the selected virtual link.
The virtual link is a virtual link established for the sorting center to end fleet.
The operation given in step 302 is directly triggered when the delivery message is received, and in specific implementation, the content carried in the delivery message may also be mapped to a content corresponding to a vehicle sealing operation, a vehicle sealing operation is generated, an express scene is simulated to perform exception positioning, and if the actual delivery time is mapped to the vehicle sealing time, the vehicle sealing operation may be completed, so as to perform exception positioning.
In specific implementation, according to the transportation capacity, the transportation route and the specific transportation condition of the whole scene, the planned delivery time, the planned inspection time and the planned due delivery time are configured in advance.
If the planned delivery time is 7 points, the planned inspection time is 8 points, and the planned due delivery time is 10 points.
The actual delivery time may be the same as or different from the planned delivery time.
And step 303, determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time.
The specific judgment in this step is realized as follows:
determining whether the actual delivery time exceeds the configured planned delivery time, and if so, determining that the sorting center is abnormal; otherwise, determining that the sorting center is not abnormal.
And step 304, determining whether the terminal fleet is abnormal in the cargo inspection stage according to the actual cargo inspection time and the newly determined planned cargo inspection time of the terminal fleet.
In this step, determining whether the end fleet is abnormal in the cargo inspection stage according to the actual cargo inspection time of the end fleet and the redetermined planned cargo inspection time includes:
when receiving goods inspection information sent by a terminal fleet, acquiring actual goods inspection time carried by the goods inspection information;
if the actual goods inspection time exceeds the newly determined planned goods inspection time, determining that the tail end motorcade is abnormal in a goods inspection stage; otherwise, determining that the tail-end motorcade is not abnormal in a goods inspection stage;
step 305, determining whether the terminal fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the terminal fleet.
In this step, determining whether the end fleet is abnormal in the payoff stage according to the actual payoff time of the end fleet and the newly determined planned payoff time includes:
when receiving a proper delivery message sent by a tail-end fleet, acquiring actual proper delivery time carried by the proper delivery message;
if the actual salable time exceeds the newly determined planned salable time, determining that the tail end fleet is abnormal in a salable stage; otherwise, determining that the end fleet is not abnormal in the stage of putting in place.
And if the actual goods inspection time does not exceed the redetermined planned goods inspection time and the actual good delivery time does not exceed the redetermined planned good delivery time, determining that the tail fleet is not abnormal.
The present embodiment supplements the routing between the sorting center and the end fleet by establishing a virtual link between the sorting center and the end fleet; selecting a virtual link according to the actual delivery time and the terminal fleet identification in the delivery message, and re-determining the planned inspection time and the planned due delivery time according to the selected virtual link; determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time; and determining whether the end fleet is abnormal according to the redetermined planned inspection time and the planned due delivery time. The scheme can accurately realize abnormal positioning.
Example two
Referring to fig. 4, fig. 4 is a schematic view of an anomaly locating process in the second embodiment of the present application. The method comprises the following specific steps:
step 401, when receiving a shipping message sent by a sorting center, acquiring actual shipping time and an end fleet identifier carried in the shipping message.
In practical application, the delivery message may not be modified in the embodiment of the present application, and the delivery message carries the actual delivery time and the end fleet identifier, where the end fleet identifier is the destination website address in the delivery message.
In addition to carrying the actual delivery time and the end fleet identification, the delivery message may also carry, but is not limited to, the following information:
the order number, the operator identification, the originating site identification, the operating time, etc.
Step 402, if the virtual links from the sorting center to the end fleet are determined to exist in the configured virtual links, selecting the virtual link with the departure time after the actual delivery time and the smallest time difference.
The operation given in step 402 is directly triggered when the delivery message is received, and in specific implementation, the content carried in the delivery message may be mapped to the content corresponding to the vehicle sealing operation, the vehicle sealing operation is generated, and an express scene is simulated to perform abnormal positioning, and if the actual delivery time is mapped to the vehicle sealing time, the vehicle sealing operation may be completed, so as to perform the abnormal positioning.
In specific implementation, according to the transportation capacity, the transportation route and the specific transportation condition of the whole scene, the planned delivery time, the planned inspection time and the planned due delivery time are configured in advance.
If the planned delivery time is 7 points, the planned inspection time is 8 points, and the planned due delivery time is 10 points.
The actual delivery time may be the same as or different from the planned delivery time.
When the virtual link is selected according to the actual delivery time and the terminal fleet identification, if the virtual link is selected, the terminal fleet corresponding to the selected virtual link is used for delivering the goods, and the planned goods inspection time and the planned appropriate delivery time are updated according to the arrival time of the virtual link;
if the virtual link is not selected, namely the virtual link does not exist, the end vehicle is still used for goods delivery, but a misdelivery error message needs to be recorded and output, namely the goods are delivered in the sorting center and received by the end vehicle, and the planned goods inspection time and the planned good delivery time are not determined again.
In step 403, the latest arrival time of the end fleet after the arrival time of the selected virtual link and having the smallest difference with the arrival time is determined.
And step 404, re-determining the planned goods inspection time and the planned good delivery time according to the determined latest arrival time and the incidence relation.
The time information configured for each end fleet in the embodiment of the present application includes: and the latest arrival time is related to the planned goods inspection time and the planned proper delivery time. As can be expressed as: latest vehicle time (10 o' clock): planned inspection time (10: 30): the airtime is planned (12: 30).
In particular implementations, each end fleet may have one or more latest arrival vehicle times, and thus may be associated with a planned lead time and a planned due time.
If the latest arrival time of the selected virtual link is 8, 10 and 12 points for the configuration of the end fleet, and the arrival time of the selected virtual link is 9 points, then the latest arrival time after 9 points is 10 and 12 points, and the time point with the minimum time difference value with 9 points, namely the latest time point is 10 points, then the latest arrival time of the selected end fleet is 10 points, and the planned inspection time and the planned due delivery time are re-determined according to the latest arrival time of 10 points and the association relationship configured for the end fleet, are respectively the planned inspection time (10: 30): the airtime is planned (12: 30).
And step 405, determining whether the sorting center is abnormal according to the actual delivery time and the configured planned delivery time.
The specific judgment in this step is realized as follows:
determining whether the actual delivery time exceeds the configured planned delivery time, and if so, determining that the sorting center is abnormal; otherwise, determining that the sorting center is not abnormal.
And step 406, determining whether the tail motorcade is abnormal in the goods inspection stage according to the actual goods inspection time of the tail motorcade and the newly determined planned goods inspection time.
In this step, determining whether the end fleet is abnormal in the cargo inspection stage according to the actual cargo inspection time of the end fleet and the redetermined planned cargo inspection time includes:
when receiving goods inspection information sent by a terminal fleet, acquiring actual goods inspection time carried by the goods inspection information;
if the actual goods inspection time exceeds the newly determined planned goods inspection time, determining that the tail end motorcade is abnormal in a goods inspection stage; otherwise, determining that the tail-end motorcade is not abnormal in a goods inspection stage;
step 407, determining whether the end fleet is abnormal at the break-out stage according to the actual break-out time of the end fleet and the newly determined planned break-out time.
In this step, determining whether the end fleet is abnormal in the payoff stage according to the actual payoff time of the end fleet and the newly determined planned payoff time includes:
when receiving a proper delivery message sent by a tail-end fleet, acquiring actual proper delivery time carried by the proper delivery message;
if the actual salable time exceeds the newly determined planned salable time, determining that the tail end fleet is abnormal in a salable stage; otherwise, determining that the end fleet is not abnormal in the stage of putting in place.
And if the actual goods inspection time does not exceed the redetermined planned goods inspection time and the actual good delivery time does not exceed the redetermined planned good delivery time, determining that the tail fleet is not abnormal.
In the embodiment, the route between the sorting center and the tail end motorcade is supplemented by establishing the virtual links between the sorting center and the tail end motorcade and setting and configuring departure time and arrival time for each virtual link; selecting a virtual link according to the actual delivery time in the delivery message and the departure time of the virtual link, and re-determining the planned inspection time and the planned due delivery time according to the arrival time of the selected virtual link; determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time; and determining whether the end fleet is abnormal according to the redetermined planned inspection time and the planned due delivery time. The scheme can accurately realize abnormal positioning.
In the existing implementation mode, the sorting center and the tail fleet are regarded as a whole, and only three time nodes of the sorting center, namely delivery, goods inspection and appropriate delivery are arranged between the sorting center and the tail fleet. Assume a planned delivery time of 7:00, a planned check time of 8:00, and a planned told time of 8: 30. However, the sorting center delivers goods late, the actual operation time of the sorting delivery, namely the actual delivery time, is 12:00, and the actual goods inspection and actual delivery time of the end fleet can only be later than 12: 00. The delay of the previous link also affects the processing time of the next link, which is obviously unreasonable. And this condition does not standardize the subsequent operation of the end fleet.
When the abnormity positioning method provided by the embodiment of the application is used, the delivery time of the sorting center, the departure time of the virtual link, the arrival time, the latest arrival time, the goods inspection time and the proper delivery time can be set between the sorting center and the tail-end motorcade, and the time period in which abnormity occurs can be definitely positioned, namely, whether the abnormity occurs in the sorting center or the tail-end motorcade can be positioned.
The planned delivery time is configured as follows: 8:00, planned inspection time 9:00 and planned tolling time 13 points;
departure time 10:30 to end vehicle queue 1 configured for one virtual link 1 (sort center to end vehicle queue 1) and arrival time 11: 00.
The correlation configured for the end fleet 1 is: latest to vehicle time 12 point: planned inspection time 12: 30: the scheduled airtime is 15: 00.
Assuming that the actual delivery time carried in the delivery message is 10 points, and the departure time 10:30 of the virtual link corresponding to the terminal fleet 1 specified in the delivery message is closest to the actual delivery time, selecting the virtual link 1;
the latest arrival time closest to the arrival time 11:00 of the virtual link 1 is 12, the newly determined planned inspection time is 12:30, and the planned due time is 15: 00.
Upon receipt of the inspection message, a determination is made as to whether the actual inspection time carried by the inspection message exceeds the newly determined planned inspection time 12:30 to determine whether the end fleet is experiencing an anomaly during the inspection phase.
Upon receipt of the commit message, a determination is made as to whether the actual commit time carried by the commit message exceeds the newly determined planned commit time by 15:00 to determine whether the end fleet is experiencing an anomaly during the commit phase.
Based on the same inventive concept, the embodiment of the application also provides an abnormality positioning device. Referring to fig. 5, fig. 5 is a schematic structural diagram of an apparatus applied to the above technology in the embodiment of the present application. The device comprises: a configuration unit 501, a receiving unit 502, an acquisition unit 503, a selection unit 504, a first determination unit 505, a second determination unit 506, and a third determination unit 507;
a configuration unit 501 for configuring a planned delivery time;
a receiving unit 502, configured to receive a shipping message sent by a sorting center;
an obtaining unit 503, configured to obtain, when the receiving unit 502 receives a shipping message sent by a sorting center, actual shipping time and an end fleet identifier carried in the shipping message;
a selecting unit 504, configured to select a virtual link according to the actual delivery time and the end fleet identifier acquired by the acquiring unit 503; wherein the virtual link is a virtual link established for the sorting center to end fleet;
a first determining unit 505, configured to re-determine the planned inspection time and the planned due delivery time according to the virtual link selected by the selecting unit 504;
a second determining unit 506, configured to determine whether an abnormality occurs in the sorting center according to the actual delivery time acquired by the acquiring unit 503 and the planned delivery time configured by the configuring unit 501;
a third determining unit 507, configured to determine whether an abnormality occurs in the end fleet at the cargo inspection stage according to the actual cargo inspection time of the end fleet and the planned cargo inspection time redetermined by the first determining unit 505; whether the end fleet is abnormal at the break-out stage is determined according to the actual break-out time of the end fleet and the planned break-out time redetermined by the first determination unit 505.
Preferably, the first and second electrodes are formed of a metal,
the third determining unit 507 is specifically configured to determine whether the end fleet is abnormal in the cargo inspection stage according to the actual cargo inspection time of the end fleet and the newly determined planned cargo inspection time, and includes: when receiving goods inspection information sent by a terminal fleet, acquiring actual goods inspection time carried by the goods inspection information; if the actual goods inspection time exceeds the newly determined planned goods inspection time, determining that the tail end motorcade is abnormal in a goods inspection stage; otherwise, determining that the tail-end motorcade is not abnormal in a goods inspection stage; determining whether the terminal fleet is abnormal in the break-in stage according to the actual break-in time of the terminal fleet and the newly determined planned break-in time, wherein the determining comprises the following steps: when receiving a proper delivery message sent by a tail-end fleet, acquiring actual proper delivery time carried by the proper delivery message; if the actual salable time exceeds the newly determined planned salable time, determining that the tail end fleet is abnormal in a salable stage; otherwise, determining that the end fleet is not abnormal in the stage of putting in place.
Preferably, the first and second electrodes are formed of a metal,
the second determining unit 506, specifically configured to determine whether an abnormality occurs in the sorting center according to the actual delivery time and the configured planned delivery time, includes: determining whether the actual delivery time exceeds the configured planned delivery time, and if so, determining that the sorting center is abnormal; otherwise, determining that the sorting center is not abnormal.
Preferably, the apparatus further comprises: a record output unit 508;
and a recording output unit 508, configured to record and output a cargo misdelivery arrival message if the selection unit 504 does not select a virtual link according to the actual delivery time and the end fleet identifier.
Preferably, the first and second electrodes are formed of a metal,
a configuration unit 501, configured to configure the delivery time and the arrival time of the virtual link;
the selecting unit 504 is specifically configured to, when selecting a virtual link according to the actual delivery time and the end fleet identifier, include: and if the virtual links from the sorting center to the end fleet exist in the configured virtual links, selecting the virtual link with the departure time after the actual delivery time and the smallest time difference.
Preferably, the first and second electrodes are formed of a metal,
the configuration unit 501 is further configured to configure an association relationship between the latest arrival time of each virtual link and the planned inspection time and the planned due delivery time;
the first determining unit 505 is specifically configured to, when the planned inspection time and the planned due delivery time are re-determined according to the selected virtual link, include: determining a latest arrival time of the end fleet after an arrival time of the selected virtual link and having a minimum difference from the arrival time; and re-determining the planned goods inspection time and the planned proper delivery time according to the determined latest arrival time and the incidence relation.
The units of the above embodiments may be integrated into one body, or may be separately deployed; may be combined into one unit or further divided into a plurality of sub-units.
In another embodiment, an electronic device is also provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for locating an abnormality when executing the program.
In another embodiment, a computer readable storage medium is also provided having stored thereon computer instructions that, when executed by a processor, may implement the steps in the anomaly locating method.
Fig. 6 is a schematic physical structure diagram of an electronic device according to an embodiment of the present application. As shown in fig. 6, the electronic device may include: a Processor (Processor)610, a communication Interface (Communications Interface)620, a Memory (Memory)630 and a communication bus 640, wherein the Processor 610, the communication Interface 620 and the Memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to perform the following method:
when a delivery message sent by a sorting center is received, acquiring actual delivery time and a terminal fleet identifier carried in the delivery message;
selecting a virtual link according to the actual delivery time and the terminal fleet identifier, and re-determining the planned inspection time and the planned told delivery time according to the selected virtual link; wherein the virtual link is a virtual link established for the sorting center to end fleet;
determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time;
and determining whether the end fleet is abnormal according to the redetermined planned inspection time and the planned due delivery time.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and 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.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. An anomaly positioning method is applied to a fast-transit scene, and is characterized by comprising the following steps:
when a delivery message sent by a sorting center is received, acquiring actual delivery time and a terminal fleet identifier carried in the delivery message;
selecting a virtual link according to the actual delivery time and the terminal fleet identifier, and re-determining the planned inspection time and the planned told delivery time according to the selected virtual link; wherein the virtual link is a virtual link established for the sorting center to end fleet;
determining whether the sorting center is abnormal or not according to the actual delivery time and the configured planned delivery time;
determining whether the tail motorcade is abnormal in the cargo inspection stage according to the actual cargo inspection time of the tail motorcade and the redetermined planned cargo inspection time;
determining whether the end fleet is abnormal in the break phase according to the actual break time and the newly determined planned break time of the end fleet.
2. The method of claim 1, wherein determining whether an anomaly has occurred at a sorting center based on the actual delivery time and a configured planned delivery time comprises:
determining whether the actual delivery time exceeds the configured planned delivery time, and if so, determining that the sorting center is abnormal; otherwise, determining that the sorting center is not abnormal.
3. The method of claim 1, wherein said determining whether an anomaly in the end fleet occurs during the inspection phase based on the actual inspection time and the newly determined planned inspection time of the end fleet comprises:
when receiving goods inspection information sent by a terminal fleet, acquiring actual goods inspection time carried by the goods inspection information;
if the actual goods inspection time exceeds the newly determined planned goods inspection time, determining that the tail end motorcade is abnormal in a goods inspection stage; otherwise, determining that the tail-end motorcade is not abnormal in a goods inspection stage;
the determining whether the end fleet is abnormal in the break-out stage according to the actual break-out time and the newly determined planned break-out time of the end fleet comprises:
when receiving a proper delivery message sent by a tail-end fleet, acquiring actual proper delivery time carried by the proper delivery message;
if the actual salable time exceeds the newly determined planned salable time, determining that the tail end fleet is abnormal in a salable stage; otherwise, determining that the end fleet is not abnormal in the stage of putting in place.
4. The method of claim 3, further comprising:
and if the actual goods inspection time does not exceed the redetermined planned goods inspection time and the actual good delivery time does not exceed the redetermined planned good delivery time, determining that the tail fleet is not abnormal.
5. The method of claim 1, further comprising:
and if the virtual link is not selected according to the actual delivery time and the tail fleet identification, recording and outputting the delivery error.
6. The method according to any one of claims 1-5, wherein the method further comprises:
configuring the delivery time and the arrival time of the virtual link;
the selecting a virtual link according to the actual delivery time and the end fleet identifier comprises:
and if the virtual links from the sorting center to the end fleet exist in the configured virtual links, selecting the virtual link with the departure time after the actual delivery time and the smallest time difference.
7. The method of claim 6, further comprising:
configuring the incidence relation between the latest arrival time of each virtual link and the planned goods inspection time and the planned proper delivery time;
the re-determining the planned inspection time and the planned due delivery time according to the selected virtual link comprises:
determining a latest arrival time of the end fleet after an arrival time of the selected virtual link and having a minimum difference from the arrival time;
and re-determining the planned goods inspection time and the planned proper delivery time according to the determined latest arrival time and the incidence relation.
8. An anomaly locating device applied to a fast-transit scene is characterized by comprising: the device comprises a configuration unit, a receiving unit, an acquisition unit, a selection unit, a first determination unit, a second determination unit and a third determination unit;
the configuration unit is used for configuring the planned delivery time;
the receiving unit is used for receiving the delivery message sent by the sorting center;
the acquiring unit is used for acquiring the actual delivery time and the tail fleet identification carried in the delivery message when the receiving unit receives the delivery message sent by the sorting center;
the selection unit is used for selecting a virtual link according to the actual delivery time and the tail fleet identification acquired by the acquisition unit; wherein the virtual link is a virtual link established for the sorting center to end fleet;
the first determining unit is used for re-determining the planned goods inspection time and the planned good delivery time according to the virtual link selected by the selecting unit;
the second determining unit is used for determining whether the sorting center is abnormal or not according to the actual delivery time acquired by the acquiring unit and the planned delivery time configured by the configuration unit;
the third determining unit is used for determining whether the tail fleet is abnormal in the goods inspection stage according to the actual goods inspection time of the tail fleet and the planned goods inspection time re-determined by the first determining unit; and determining whether the end fleet is abnormal in the stage of the close investment according to the actual close investment time of the end fleet and the planned close investment time redetermined by the first determination unit.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-7 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.
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