CN112598357A - Order tracking processing system and working method thereof - Google Patents
Order tracking processing system and working method thereof Download PDFInfo
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- CN112598357A CN112598357A CN202011597639.4A CN202011597639A CN112598357A CN 112598357 A CN112598357 A CN 112598357A CN 202011597639 A CN202011597639 A CN 202011597639A CN 112598357 A CN112598357 A CN 112598357A
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Abstract
An order tracking processing system and a working method thereof comprise: the second acquisition module is configured to acquire logistics information corresponding to the order information; the first extraction module is configured to extract the residual logistics routes from the logistics information; the second extraction module is configured to extract all nodes from the rest logistics routes and extract transportation routes between adjacent nodes, and expected time consumption of all transportation routes is calculated in the logistics platform, so that the time efficiency information of the commodities is obtained; the third extraction module is configured to extract the expected time of use of other commodities on the same transportation route as the target commodity, wherein the other commodities are in the preset number and are on the same transportation route as the target commodity; a first calculation module configured to calculate an average elapsed time for each transportation route; a second calculation module configured to calculate an expected delivery time of the target item; and the first judgment module is configured to judge whether the predicted delivery time is the same as the aging information, and if not, the predicted delivery time is sent to the user.
Description
Technical Field
The invention relates to the field of order processing, in particular to an order tracking processing system and a working method thereof.
Background
When a user purchases or mails an article on the internet, after the article is sent out successfully, the user can check logistics aging information on a logistics platform or a shopping platform, and estimate the arrival time of the article according to the aging information.
If the transportation distance is short, the aging information is accurate without worrying; if the transportation distance is long, multiple nodes need to be passed through during transportation, and the logistics platform may have calculation errors, so that the timeliness information provided for the user is not accurate enough.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the disadvantages in the background art, embodiments of the present invention provide an order tracking processing system and a working method thereof, which can effectively solve the problems related to the background art.
The technical scheme is as follows:
an order tracking processing system for auditing logistics information pushed to a user, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire order information in a receiving state, and a target commodity in the order information is in logistics transportation;
the second acquisition module is configured to acquire logistics information corresponding to the order information;
the first extraction module is configured to extract a residual logistics route from the logistics information;
the second extraction module is configured to extract all nodes from the rest logistics routes, extract transportation routes between adjacent nodes, number all the transportation routes, calculate the expected time consumption of all the transportation routes in the logistics platform and obtain the aging information of the commodities according to the expected time consumption;
the third extraction module is configured to extract a preset number of expected time samples corresponding to each transportation route of the target commodity on the rest logistics routes when the other commodities which are in the same transportation route as the target commodity are expected to be used on the same transportation route;
the first calculation module is configured to calculate the average time consumption of a preset number of samples corresponding to each transportation route;
a second calculation module configured to calculate an expected delivery time of the target commodity according to the average elapsed time of each transportation route;
and the first judgment module is configured to judge whether the estimated delivery time is the same as the aging information given by the logistics platform, and if not, the estimated delivery time is sent to the user.
As a preferred embodiment of the present invention, the present invention further comprises:
and the first judgment submodule is configured to judge whether the predicted delivery time and the aging information are delivered on the same day, and if so, the predicted delivery time and the aging information are regarded as the same.
As a preferred embodiment of the present invention, the present invention further comprises:
a first calculation submodule configured to calculate differences between a preset number of estimated elapsed times corresponding to the same transportation route and the average elapsed time, respectively;
the second judging module is configured to judge whether the difference value is larger than or equal to a preset difference value;
and the fourth extraction module is configured to extract preset time spent of which the difference value is smaller than the preset difference value and recalculate the average time spent of each transportation route according to the extracted preset time spent.
As a preferred embodiment of the present invention, the present invention further comprises:
a third obtaining module configured to obtain an expected error set by a user;
a second calculation submodule configured to calculate a time at which the expected delivery time differs from the aging information;
and the third judging module is configured to judge whether the time difference is greater than or equal to the expected error, if so, the expected delivery time is sent to the user, and if not, the expected delivery time is not sent.
As a preferred embodiment of the present invention, the present invention further comprises:
and the fourth extraction submodule is configured to extract preset time consumption when the difference value is greater than or equal to the preset difference value and corresponding logistics information, and then audit the logistics information.
An operating method of an order tracking processing system comprises the following operating steps:
s101: acquiring order information in a receiving state, wherein a target commodity in the order information is in logistics transportation;
s102: acquiring logistics information corresponding to the order information;
s103: extracting the rest logistics routes from the logistics information;
s104: extracting each node from the rest logistics routes, extracting transportation routes between adjacent nodes, numbering each transportation route, calculating the expected time consumption of each transportation route in the logistics platform, and obtaining the aging information of the commodity;
s105: extracting expected time samples of preset number of other commodities which are on the same transportation route as the target commodity and are expected to be used on the same transportation route, wherein each transportation route of the target commodity on the rest logistics routes corresponds to the expected time sample of the preset number;
s106: calculating the average time consumption of a preset number of samples corresponding to each transportation route;
s107: calculating the predicted delivery time of the target commodity according to the average time consumption of each transportation route;
s108: judging whether the estimated delivery time is the same as the time effectiveness information given by the logistics platform or not;
s109: and if not, sending the estimated delivery time to the user.
As a preferred aspect of the present invention, S109 further includes:
judging whether the estimated delivery time and the aging information are delivered on the same day;
if not, sending the estimated delivery time to the user;
if so, no transmission is performed.
As a preferred embodiment of the present invention, S106 further includes:
calculating the difference value between the average time consumption and the expected time consumption of the preset number corresponding to the same transportation route;
judging whether the difference value is larger than or equal to a preset difference value or not;
if not, extracting the preset time when the difference value is smaller than the preset difference value, and recalculating the average time of each transportation route according to the extracted preset time.
As a preferred aspect of the present invention, S109 further includes:
acquiring a predicted error set by a user;
calculating the time difference between the estimated delivery time and the aging information;
judging whether the time of the phase difference is greater than or equal to the expected error;
if yes, sending the estimated delivery time to a user;
if not, the message is not sent.
As a preferred embodiment of the present invention, the present invention further comprises:
extracting preset time consumption when the difference value is greater than or equal to the preset difference value and corresponding logistics information;
s103 to S109 are executed.
The invention realizes the following beneficial effects:
when a target commodity is in the way of logistics transportation, auditing is carried out aiming at logistics aging information of the target commodity, and a user is helped to accurately master the aging information; extracting the residual logistics route and each node thereof, splitting the residual logistics route into transportation routes among a plurality of adjacent nodes, when the expected use of each transportation route is calculated in the logistics platform, adding the expected use of each transportation route to obtain the total transportation use of the commodity, calculating the expected delivery time of the target commodity according to the expected use of other commodities on the same transportation route, and when the expected delivery time is different from the aging information, sending the expected delivery time to a user by the system.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a working method of an order tracking processing system according to the present invention.
Fig. 2 is a flowchart of a method for judging an error according to aging information provided by the present invention.
Fig. 3 is a flowchart of another method for determining an error according to the aging information provided by the present invention.
Fig. 4 is a flowchart of a method for calculating the preset elapsed time of the transportation route according to the present invention.
FIG. 5 is a block diagram of an order tracking system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
As shown in fig. 1, the present embodiment provides a working method of an order tracking processing system, which includes the following working steps:
s101: acquiring order information in a receiving state, wherein a target commodity in the order information is in logistics transportation;
s102: acquiring logistics information corresponding to the order information;
s103: extracting the rest logistics routes from the logistics information;
s104: extracting each node from the rest logistics routes, extracting transportation routes between adjacent nodes, numbering each transportation route, calculating the expected time consumption of each transportation route in the logistics platform, and obtaining the aging information of the commodity;
s105: extracting expected time samples of preset number of other commodities which are on the same transportation route as the target commodity and are expected to be used on the same transportation route, wherein each transportation route of the target commodity on the rest logistics routes corresponds to the expected time sample of the preset number;
s106: calculating the average time consumption of a preset number of samples corresponding to each transportation route;
s107: calculating the predicted delivery time of the target commodity according to the average time consumption of each transportation route;
s108: judging whether the estimated delivery time is the same as the time effectiveness information given by the logistics platform or not;
s109: and if not, sending the estimated delivery time to the user.
Specifically, in the logistics platform, the estimated time of the transportation routes between each node in the logistics route is calculated respectively, and then the estimated time of each transportation route is added to obtain the logistics aging information of the commodity.
In S101, whether logistics aging information of a commodity purchased by a user or a mailed item is correct is checked, and order information in a receiving state is obtained first, where the receiving state indicates that a target commodity has been dispatched and is being transported to a target location.
In S102, entering a corresponding logistics platform according to the order number or the express order number in the order information, and reading corresponding logistics information, where the logistics information includes a logistics route and a real-time location of the target commodity.
In S103, a remaining physical distribution route is extracted from the physical distribution information, where the remaining physical distribution route is a physical distribution route between the target commodity position and the receiving address.
In S104, each preset node is extracted from the remaining logistics routes, then transportation routes between adjacent nodes are extracted, and the estimated time of the transportation route between the target commodity position and the first node is calculated by referring to the logistics platform, and the extracted transportation routes are numbered, for example, transportation route a, transportation route B, and transportation route C … …, and when the estimated time of each transportation route is calculated in the logistics platform, there are corresponding estimated time a, estimated time B, and estimated time C … …, and there may be different commodities, the same transportation route, and there may be different estimated times.
In S105, all the transportation routes, such as the transportation route a, the transportation route B, and the transportation route C … …, need to be replaced when predicted, and the replacement method for the transportation routes when predicted is the same.
Wherein other items co-located with the target item on haul route a may be different from other items co-located with haul route B.
In S106, the estimated time of the other commodities on the transportation route a in S105 is extracted, and when there are always a preset number of estimated times, the estimated time may be the same or different, and when the average time of the preset number of estimated times is calculated, one transportation route corresponds to one average time.
In S107, the expected delivery time of the target product is calculated from each average time of use.
In S108, it is determined whether the estimated delivery time is the same as aging information, which may be morning or afternoon on a certain day of a month in a certain year.
In S109, if the estimated delivery time is different from the aging information, the system sends the estimated delivery time to the user, so as to remind the user that the aging information provided by the logistics platform may be incorrect.
Example two
As shown in fig. 2, S109 further includes:
judging whether the estimated delivery time and the aging information are delivered on the same day;
if not, sending the estimated delivery time to the user;
if so, no transmission is performed.
As shown in fig. 3, S109 further includes:
acquiring a predicted error set by a user;
calculating the time difference between the estimated delivery time and the aging information;
judging whether the time of the phase difference is greater than or equal to the expected error;
if yes, sending the estimated delivery time to a user;
if not, the message is not sent.
Specifically, the time efficiency information provided by the logistics platform can be accurate only to a certain day, and when the calculated estimated delivery time and the time efficiency information are the same day, the time efficiency information is regarded as correct, and even if the two are different, the estimated delivery time is not required to be sent to the user.
The user can also define the time effect information and the error by self, firstly, a predicted error is set, the predicted error can be a plurality of hours, the system firstly calculates the time difference between the predicted delivery time and the time effect information, then judges whether the time difference between the two is more than or equal to the preset error set by the user, if so, the time effect information is regarded as error, and the system sends the predicted delivery time to the user; if not, the time efficiency information is regarded as correct, and the expected delivery time is not sent to the user.
EXAMPLE III
As shown in fig. 4, S106 further includes:
calculating the difference value between the average time consumption and the expected time consumption of the preset number corresponding to the same transportation route;
judging whether the difference value is larger than or equal to a preset difference value or not;
if not, extracting the preset time when the difference value is smaller than the preset difference value, and recalculating the average time of each transportation route according to the extracted preset time.
Extracting preset time consumption when the difference value is greater than or equal to the preset difference value and corresponding logistics information;
s103 to S109 are executed.
Specifically, the estimated time of the other commodities on a certain transportation route extracted in S105 is not correct, when the average time of a preset number of estimated times is calculated, each estimated time is compared with the average time, the difference between each estimated time and the average time is calculated first, a preset difference is built in the system, when the difference between the estimated time and the average time is greater than or equal to the preset difference, it is indicated that the estimated time is widely different from the other estimated times, the estimated time is wrong, when the estimated time is started in calculating the average time, only the estimated time with a small difference is used, and the average time obtained by final calculation is adopted.
Further, when it is found that there is an incorrect expected usage, the aging information calculated by using the expected usage may also be incorrect, and in this embodiment, after the aging information of the target product is checked, the aging information calculated by using the incorrect expected usage is also checked, and the checking method is the same, and S103 to S109 are repeated.
Example four
As shown in fig. 5, an order tracking processing system includes:
a first obtaining module 401, configured to obtain order information in a receiving state, where a target product in the order information is in logistics transportation;
a second obtaining module 402 configured to obtain logistics information corresponding to the order information;
a first extraction module 403, configured to extract a remaining logistics route from the logistics information;
a second extraction module 404, configured to extract each node from the remaining logistics routes, extract transportation routes between adjacent nodes, number each transportation route, calculate expected time consumption of each transportation route in the logistics platform, and obtain aging information of the commodity according to the expected time consumption;
a third extraction module 405, configured to extract a preset number of expected time samples corresponding to each transportation route of the target commodity on the remaining logistics routes when the other commodities, which are located on the same transportation route as the target commodity, are expected to be used on the same transportation route;
a first calculating module 406 configured to calculate an average elapsed time of a preset number of samples corresponding to each transportation route;
a second calculation module 407 configured to calculate an expected delivery time of the target commodity according to the average elapsed time of each transportation route;
the first determining module 408 is configured to determine whether the estimated delivery time is the same as the aging information provided by the logistics platform, and if not, send the estimated delivery time to the user.
The first determining submodule 409 is configured to determine whether the estimated delivery time and the aging information are delivered on the same day, and if so, the estimated delivery time and the aging information are regarded as the same.
A first calculating submodule 410 configured to calculate differences between a preset number of estimated elapsed times corresponding to the same transportation route and the average elapsed times, respectively;
a second determining module 411 configured to determine whether the difference is greater than or equal to a preset difference;
the fourth extraction module 412 is configured to extract a preset elapsed time with a difference smaller than a preset difference, and recalculate the average elapsed time of each transportation route according to the extracted preset elapsed time.
A third obtaining module 413 configured to obtain an expected error set by a user;
a second calculation submodule 414 configured to calculate a time at which the expected delivery time differs from the aging information;
a third determining module 415 configured to determine whether the time difference is greater than or equal to the expected error, if so, send the expected delivery time to the user, and if not, not send the expected delivery time.
The fourth extraction sub-module 416 is configured to extract preset time when the difference is greater than or equal to the preset difference and corresponding logistics information, and then audit the logistics information.
The system provided in the fourth embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. An order tracking processing system for auditing logistics information pushed to a user, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire order information in a receiving state, and a target commodity in the order information is in logistics transportation;
the second acquisition module is configured to acquire logistics information corresponding to the order information;
the first extraction module is configured to extract a residual logistics route from the logistics information;
the second extraction module is configured to extract all nodes from the rest logistics routes, extract transportation routes between adjacent nodes, number all the transportation routes, calculate the expected time consumption of all the transportation routes in the logistics platform and obtain the aging information of the commodities according to the expected time consumption;
the third extraction module is configured to extract a preset number of expected time samples corresponding to each transportation route of the target commodity on the rest logistics routes when the other commodities which are in the same transportation route as the target commodity are expected to be used on the same transportation route;
the first calculation module is configured to calculate the average time consumption of a preset number of samples corresponding to each transportation route;
a second calculation module configured to calculate an expected delivery time of the target commodity according to the average elapsed time of each transportation route;
and the first judgment module is configured to judge whether the estimated delivery time is the same as the aging information given by the logistics platform, and if not, the estimated delivery time is sent to the user.
2. The order tracking processing system of claim 1, wherein: further comprising:
and the first judgment submodule is configured to judge whether the predicted delivery time and the aging information are delivered on the same day, and if so, the predicted delivery time and the aging information are regarded as the same.
3. The order tracking processing system of claim 1, wherein: further comprising:
a first calculation submodule configured to calculate differences between a preset number of estimated elapsed times corresponding to the same transportation route and the average elapsed time, respectively;
the second judging module is configured to judge whether the difference value is larger than or equal to a preset difference value;
and the fourth extraction module is configured to extract preset time spent of which the difference value is smaller than the preset difference value and recalculate the average time spent of each transportation route according to the extracted preset time spent.
4. The order tracking processing system of claim 1, wherein: further comprising:
a third obtaining module configured to obtain an expected error set by a user;
a second calculation submodule configured to calculate a time at which the expected delivery time differs from the aging information;
and the third judging module is configured to judge whether the time difference is greater than or equal to the expected error, if so, the expected delivery time is sent to the user, and if not, the expected delivery time is not sent.
5. An order tracking processing system according to claim 3, wherein: further comprising:
and the fourth extraction submodule is configured to extract preset time consumption when the difference value is greater than or equal to the preset difference value and corresponding logistics information, and then audit the logistics information.
6. The method of any one of claims 1 to 5, comprising the following steps:
s101: acquiring order information in a receiving state, wherein a target commodity in the order information is in logistics transportation;
s102: acquiring logistics information corresponding to the order information;
s103: extracting the rest logistics routes from the logistics information;
s104: extracting each node from the rest logistics routes, extracting transportation routes between adjacent nodes, numbering each transportation route, calculating the expected time consumption of each transportation route in the logistics platform, and obtaining the aging information of the commodity;
s105: extracting expected time samples of preset number of other commodities which are on the same transportation route as the target commodity and are expected to be used on the same transportation route, wherein each transportation route of the target commodity on the rest logistics routes corresponds to the expected time sample of the preset number;
s106: calculating the average time consumption of a preset number of samples corresponding to each transportation route;
s107: calculating the predicted delivery time of the target commodity according to the average time consumption of each transportation route;
s108: judging whether the estimated delivery time is the same as the time effectiveness information given by the logistics platform or not;
s109: and if not, sending the estimated delivery time to the user.
7. The method of claim 6, wherein the order tracking system further comprises: s109 further includes:
judging whether the estimated delivery time and the aging information are delivered on the same day;
if not, sending the estimated delivery time to the user;
if so, no transmission is performed.
8. The method of claim 6, wherein the order tracking system further comprises: s106 further comprises:
calculating the difference value between the average time consumption and the expected time consumption of the preset number corresponding to the same transportation route;
judging whether the difference value is larger than or equal to a preset difference value or not;
if not, extracting the preset time when the difference value is smaller than the preset difference value, and recalculating the average time of each transportation route according to the extracted preset time.
9. The method of claim 6, wherein the order tracking system further comprises: s109 further includes:
acquiring a predicted error set by a user;
calculating the time difference between the estimated delivery time and the aging information;
judging whether the time of the phase difference is greater than or equal to the expected error;
if yes, sending the estimated delivery time to a user;
if not, the message is not sent.
10. The method of claim 8, wherein the order tracking system further comprises: further comprising:
extracting preset time consumption when the difference value is greater than or equal to the preset difference value and corresponding logistics information;
s103 to S109 are executed.
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| US20170193444A1 (en) * | 2016-01-05 | 2017-07-06 | United States Postal Service | Accurate tracking of item delivery using a confidence event recorder |
| WO2018099135A1 (en) * | 2016-11-29 | 2018-06-07 | 北京小度信息科技有限公司 | Planning method for delivery sequence of groups of orders, route planning method and apparatus |
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Application publication date: 20210402 |