CN111815237B - Method and device for counting complement accuracy - Google Patents
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- CN111815237B CN111815237B CN202010673375.XA CN202010673375A CN111815237B CN 111815237 B CN111815237 B CN 111815237B CN 202010673375 A CN202010673375 A CN 202010673375A CN 111815237 B CN111815237 B CN 111815237B
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- 230000000295 complement effect Effects 0.000 title claims abstract description 128
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000012216 screening Methods 0.000 claims description 21
- 238000004378 air conditioning Methods 0.000 claims description 3
- 239000011435 rock Substances 0.000 claims description 3
- 230000006872 improvement Effects 0.000 abstract description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
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- 230000003203 everyday effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Abstract
The invention discloses a method and a device for counting complement accuracy, wherein the method comprises the following steps: receiving signing data and complement data of an order; the signing data at least comprises order identification and signing business part information; the complement data at least comprises order identification and system matching business part information; associating the signing data and the complement data of each order based on the order identification, and judging whether the signing business information of each order is consistent with the system matching business information; if the codes are consistent, judging that the complementary codes are accurate; counting the number of the orders with accurate complementary codes and the judged total quantity of the orders to obtain statistical data; classifying the statistical data according to preset classification conditions to obtain classification data; transmitting the classification data to the front end based on a preset dimension; the invention has the advantages that: the method can automatically and rapidly count the order complement accuracy, liberate manual work, count millions of order data on a single day, and obtain the complement accuracy with high accuracy, thereby facilitating subsequent analysis and improvement of the complement method.
Description
Technical Field
The invention relates to the field of logistics, in particular to a method and a device for counting complementary code accuracy.
Background
The end step of the delivery flow of the express delivery is dispatch, and before that, the express delivery needs to be delivered to the business part nearest to the receiving address. However, due to the fact that the receiving address filled in the express bill is not detailed enough or the receiving address is changed by the customer after the express bill is sent out, the express bill is often transported to other business parts by mistake, so that the delivery time is delayed and the transportation cost is increased.
In order to solve the problem, at present, a logistics company commonly adopts a means of compensating codes for express delivery bills during sorting of the express delivery during transportation, and the compensating codes are used for compensating information of the express delivery bills, so that the accuracy of dispatching the express delivery to a business point closest to a receiving address is improved, and the purposes of dispatching the express delivery to a customer as soon as possible and saving transportation cost are achieved.
At present, the complement is manually complemented by a complement operator, and under the condition of error complement, the complement accuracy is required to be counted for counting error complement orders for subsequent analysis and improvement. At present, whether the actual delivery operation point is consistent with the delivery operation point or not is manually compared to judge whether the complement result is accurate or not so as to count the complement accuracy, but under the condition that the delivery amount per day is as high as millions at present, the method for manually judging the situation of counting the order complement one by one is difficult to finish, and because personnel effort is limited, the counted order complement rate is frequently wrong.
Disclosure of Invention
The invention aims at: the method and the device for counting the complement accuracy rate can rapidly and accurately acquire the complement accuracy rate.
The technical scheme of the invention is as follows: in a first aspect, a method for counting complement accuracy is provided, the method including:
receiving signing data and complement data of an order; the signing data at least comprises order identification and signing business information; the complement data at least comprises order identification and system matching business information;
associating the signing data and the complement data of each order based on the order identification, and judging whether signing business information and system matching business information of each order are consistent or not; if the codes are consistent, judging that the complementary codes are accurate;
counting the number of the orders with accurate complementary codes and the judged total quantity of the orders to obtain statistical data;
classifying the statistical data according to preset classification conditions to obtain classification data;
and sending the classification data to the front end for display based on a preset dimension.
Further, the receiving data and the complement data of the received order specifically include:
receiving signing data and complement data of all orders;
screening the signing data and the complement data of all orders to obtain signing data and complement data of effective orders;
and synchronizing the signing data and the complement data of the effective order to a database for storage.
Further, the receiving the sign-up data and the complement data of all orders specifically includes:
receiving sign-up data and complement data for all orders fed back via the rock mq;
the synchronizing of the sign-up data and the complement data of the valid order to the database for storage specifically comprises:
and synchronizing the signing data and the complement data of the valid order to a database for storage through a flight.
Further, the determining whether the signing business information of each order and the system matching business information are consistent specifically includes:
receiving signing data and complement data of the effective order fed back by the database;
and judging whether the signing business information of each effective order is consistent with the system matching business information.
Further: the receiving of the sign-up data and the complement data of the effective order fed back by the database further comprises the following steps:
screening out valid orders of type errors based on the order identification; a kind of electronic device with high-pressure air-conditioning system:
acquiring signing business department history information and system matching business department history information fed back by the database;
judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not respectively;
and screening out valid orders with inconsistent judging results.
Further, the classifying the statistical data according to the preset condition to obtain classified data specifically includes:
receiving preset dimensions fed back by the database;
dividing the effective orders based on the pre-acquired signing time and/or complement time and the preset dimension to obtain a plurality of effective order groups;
counting the accurate order quantity recorded as the judgment result in each effective order group to obtain the accurate number of each effective order group, and counting the total number of effective orders in each effective order group; the classification data includes at least the exact number and a total number of valid orders;
and sending the classified data to a display database.
Further, the sending the classification data to the front end for display based on the preset dimension specifically includes:
receiving the classification data fed back by the display database;
transmitting the classification data to the front end for display based on a preset dimension;
the predetermined dimension includes at least a predetermined area range.
In a second aspect, there is provided a complement accuracy statistics apparatus, the apparatus comprising:
the receiving module is used for receiving the signing data and the complement data of the order;
the association judging module is used for associating the signing data and the complement data of each order based on the order identification and judging whether the signing business information of each order is consistent with the system matching business information or not;
the statistics module is used for counting the accurate order quantity of all the complements and the judged order total quantity to obtain statistics data;
the classification module is used for classifying the statistical data according to preset classification conditions to obtain classification data;
and the sending module is used for sending the classified data to the front end for display based on a preset dimension.
Further, the association judgment module specifically includes:
the association unit is used for associating the signing data and the complement data of each order based on the order identification, associating signing business information of the effective order with corresponding signing business history information based on the order identification, and associating system matching business information of the effective order with corresponding system matching business history information based on the order identification;
the judging unit is used for judging whether the signing business information of each order is consistent with the system matching business information or not, and judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not respectively;
the receiving module is also used for receiving signing data and complement data of the effective orders fed back by the database, signing business part history information and system matching business part history information, and receiving classification data fed back by the display database;
the sending module is also used for sending the classification data to a display database and synchronizing the signing data and the complement data of the valid order to the database for storage. Further, the device further comprises:
the screening module is used for screening the signing data and the complement data of all orders to obtain signing data and complement data of effective orders, and screening out the effective orders with inconsistent judging results and screening out type errors based on order identification.
Compared with the prior art, the invention has the advantages that: the method can automatically and rapidly count the order complement accuracy, liberate manual work, count millions of order data on a single day, and obtain the complement accuracy with high accuracy, thereby facilitating subsequent analysis and improvement of the complement method.
Drawings
The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a flowchart of a method for counting the complement accuracy according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for counting complementary code accuracy according to an embodiment of the present invention;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method for counting the correct rate of the complement, which can process up to millions of sign-in business information and system matching business information for automatic comparison every day so as to count the correct order of the complement efficiently and accurately and prepare for improving the current complement mode of subsequent analysis; the method solves the problems that the current manual work is difficult to deal with massive signing business information and system matching business information, and accurate complement accuracy is difficult to obtain.
Example 1: a method for counting complement accuracy, referring to fig. 1, the method comprises:
s1, receiving signing data and complement data of an order. The method specifically comprises the following substeps:
s1-1, receiving signing data and complement data of all orders.
Specifically, in the present embodiment, the sign-up data and the complement data of all orders fed back via the lockmq are received.
The method adopts the rock MQ message queue to acquire the request first-in message queue of order data, and does not directly process the order data by the processing system, so as to buffer the order data once, greatly reduce the pressure of the processing system, and avoid the situation that the processing system cannot process the request even crashes due to overlarge data volume.
The signing data at least comprises order identification and signing business information; the complement data at least comprises order identification and system matching business information. Of course, the sign-in data and the complement data may also include other data, such as business codes, business staff numbers, and the like, which are not limited in this embodiment. The order identifier may be any identifier with uniqueness to accurately locate the order, such as a waybill barcode or a waybill number, which is not specifically limited in this embodiment.
S1-2, screening the signing data and the complement data of all orders to obtain signing data and complement data of effective orders.
Order numbers, orders with empty receiving addresses are screened out to screen remaining valid orders.
S1-3, synchronizing the signing data and the complement data of the effective order to a database for storage.
Specifically, in this embodiment, the signing data and the complement data of the valid order are synchronized to the database for storage by means of a flime.
More specifically, in this embodiment, the database is preferably Hive, which has a large storage capacity, can accommodate millions of data on a single day, is convenient for subsequent calls to view the data, and can customize the data format. And storing all orders with order numbers and non-empty receiving addresses, so that the follow-up inquiry data use is facilitated.
S2, associating the signing data and the complement data of each order based on the order identification, and judging whether signing business information and system matching business information of each order are consistent or not; if the judgment results are consistent, the judgment results are recorded as accurate. The method specifically comprises the following substeps:
s2-1, receiving signing data and complement data of the effective orders fed back by the database.
Specifically, a database account password with authority is obtained, and the database account password is configured to be connected with the database.
S2-2, screening the effective orders, which specifically comprises the following sub-steps:
s2-2a, screening out valid orders with type errors based on the order identification; a kind of electronic device with high-pressure air-conditioning system:
and acquiring the signing business part history information and the system matching business part history information fed back by the database.
The order marks of the express items of different types are different, so that effective orders of the express items, parts and other types of express errors which flow into the complement data can be screened based on the order marks, and the type of data is not applicable to the system complement rules.
Specifically, in this embodiment, the signing business information at least includes signing business coverage data, the signing business history information at least includes signing business history coverage data, the system matching business information at least includes system matching business coverage data, and the system matching business history information at least includes system matching business history coverage data.
S2-2b, judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not.
Specifically, in this embodiment, the coverage data of the signing business unit is compared with the historical coverage data of the signing business unit, and the coverage data of the system matching business unit is compared with the historical coverage data of the system matching business unit.
S2-2c, screening out valid orders with inconsistent judging results.
And screening out the effective order if the two comparison results are not consistent in the comparison result of the coverage data of the signing business part and the historical coverage data of the signing business part of the effective order and the comparison result of the coverage data of the system matching business part and the historical coverage data of the system matching business part.
The step eliminates valid orders with data errors caused by the combination of business part ranges or the increase of business parts.
S2-3, judging whether the signing business information of each effective order is consistent with the system matching business information.
Specifically, it is determined whether or not the order receiving business information of each effective order whose business range has not been changed is identical to the system matching business information.
Specifically, in this embodiment, according to the order identification one-to-one correspondence between the signing data and the complement data in the signing data of the effective order, whether the signing business information in the signing data of each effective order is consistent with the system matching business information in the complement data is compared to obtain a matching result; if the two business units are consistent, the signing business unit and the system matching business unit are the same business unit, and the complementary code is judged to be accurate.
S3, counting the accurate order quantity of all the complements and the judged order total quantity to obtain statistical data.
The statistical data comprises the number of the effective orders with accurate complementary codes as the judgment result and the number of the effective orders for judging whether the signing business information and the system matching business information are consistent or not.
S4, classifying the statistical data according to preset classification conditions to obtain classification data.
Specifically, the preset conditions are signing time and complementary code time, and the steps specifically include:
s4-1, receiving preset dimensions fed back by the database. Specifically, in this embodiment, the preset dimensions include province, city, and district. The preset dimension is pre-configured in the database to serve as a follow-up dividing basis.
S4-2, dividing the effective orders based on the pre-acquired signing time and/or complementary time and the preset dimension to obtain a plurality of effective order groups.
Specifically, the effective orders are firstly divided based on the pre-acquired signing time and/or complementary time, and then a plurality of effective order groups are obtained according to the preset dimension classification acquired from the database; or:
the effective orders are classified according to preset dimensions acquired from a database, and a plurality of effective order groups are obtained based on the pre-acquired signing time and/or complementary time division.
S4-3, counting the accurate order quantity recorded as the judgment result in each effective order group to obtain the accurate number of each effective order group, and counting the total number of effective orders in each effective order group; the classification data includes at least the exact number and the total number of valid orders.
Preferably, the classification data further includes a ratio of exact number/total number of orders.
S4-4, sending the classified data to a display database.
Preferably, in the present embodiment, step S4-2a is further included after step S4-2: and calculating according to a preset calculation model and the accurate number and the total number of the effective orders in each effective order group to obtain the complement accuracy of each effective order group. The classification data also includes the complement accuracy of each valid order group at this time.
And S5, sending the classified data to the front end for display based on a preset dimension.
The method specifically comprises the following steps:
s5-1, receiving the classification data fed back by the display database;
s5-2, sending the classified data to the front end for display based on a preset dimension;
the predetermined dimension includes at least a predetermined area range.
More specifically, in the present embodiment, the preset area range includes at least a national range, a large area range, a provincial range, a business area range and a public institution.
And the display database selects MySQL, and data update is supported with low delay.
The method for counting the complement accuracy can automatically and rapidly receive order data of millions of a single day, and screen effective order data from the order data for storage and processing, can automatically, rapidly and accurately count the complement accuracy of the order, liberates manpower, obtains accurate complement accuracy, displays the accurate complement accuracy according to preset different dimensions, and is convenient for subsequent analysis and improvement of the complement method.
Example 2: the present embodiment provides a complementary code accuracy statistics device, referring to fig. 2, including:
the receiving module 21 is configured to receive the sign-up data and the complement data of the order. The receiving module 21 is further configured to receive sign-up data and complement data of the valid order fed back by the database, sign-up business history information and system matching business history information, and receive the classification data for displaying the database feedback.
The association judging module 22 is configured to associate the sign-up data and the complement data of each order based on the order identifier, and judge whether sign-up business information and system matching business information of each order are consistent.
Specifically, the association determination module 22 specifically includes:
the association unit is used for associating the signing data and the complement data of each order based on the order identification, associating signing business information of the effective order with corresponding signing business history information based on the order identification, and associating system matching business information of the effective order with corresponding system matching business history information based on the order identification;
the judging unit is used for judging whether the signing business information of each order is consistent with the system matching business information or not, and judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not respectively.
The statistics module 23 is configured to count all the order quantities with accurate complements and the determined order total quantities to obtain statistics data.
The classification module 24 is configured to classify the statistical data according to a preset classification condition to obtain classification data.
And the sending module 25 is configured to send the classification data to the front end for display based on a preset dimension. The sending module is also used for sending the classification data to a display database and synchronizing the signing data and the complement data of the valid order to the database for storage.
The apparatus further comprises:
the screening module 26 is configured to screen the sign-up data and the complement data of all orders to obtain sign-up data and complement data of valid orders, and to screen out valid orders with inconsistent judgment results and valid orders with type errors based on order identification.
The calculating module 27 is configured to calculate, according to a preset calculation model, the accuracy of the complement of each valid order group according to the number of accuracies in each valid order group and the total number of valid orders.
The complementary code accuracy statistics device provided in this embodiment is used to implement the complementary code accuracy statistics method provided in embodiment 1, and has the same beneficial effects as those of the complementary code accuracy statistics method provided in embodiment 1, and will not be described herein.
In this specification, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference should be made to the description of the method embodiments for relevant points. The apparatus and apparatus embodiments described above are merely illustrative, in that the modules described as separate components may or may not be physically separate, i.e., may be located in one place, or may be distributed over several network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden from the data of their inventive step.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention. The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same according to the content of the present invention, and are not intended to limit the scope of the present invention. All modifications made according to the spirit of the main technical proposal of the invention should be covered in the protection scope of the invention.
Claims (7)
1. The method for counting the complement accuracy rate is characterized by comprising the following steps:
receiving signing data and complement data of all orders;
screening the signing data and the complement data of all orders to obtain signing data and complement data of effective orders;
synchronizing the signing data and the complement data of the effective order to a database for storage; the signing data at least comprises order identification and signing business information; the complement data at least comprises order identification and system matching business information;
associating the signing data and the complement data of each order based on the order identification, and judging whether signing business information and system matching business information of each order are consistent or not, comprising:
receiving signing data and complement data of the effective order fed back by the database;
judging whether the signing business information of each effective order is consistent with the system matching business information; if the codes are consistent, judging that the complementary codes are accurate;
counting the number of the orders with accurate complementary codes and the judged total quantity of the orders to obtain statistical data;
classifying the statistical data according to a preset classification condition to obtain classified data, including:
receiving preset dimensions fed back by the database;
dividing the effective orders based on the pre-acquired signing time and/or complement time and the preset dimension to obtain a plurality of effective order groups;
counting the accurate order quantity recorded as the judgment result in each effective order group to obtain the accurate number of each effective order group, and counting the total number of effective orders in each effective order group; the classification data includes at least the exact number and a total number of valid orders;
sending the classified data to a display database;
and sending the classified data to the front end based on a preset dimension.
2. The method for counting the correct rate of the complementary codes according to claim 1, wherein the receiving the sign-up data and the complementary code data of all orders specifically comprises:
receiving sign-up data and complement data for all orders fed back via the rock mq;
the synchronizing of the sign-up data and the complement data of the valid order to the database for storage specifically comprises:
and synchronizing the signing data and the complement data of the valid order to a database for storage through a flight.
3. The method for counting the complement accuracy according to claim 1, wherein: the receiving of the sign-up data and the complement data of the effective order fed back by the database further comprises the following steps:
screening out valid orders of type errors based on the order identification; a kind of electronic device with high-pressure air-conditioning system:
acquiring signing business department history information and system matching business department history information fed back by the database;
judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not respectively;
and screening out valid orders with inconsistent judging results.
4. The method of claim 1, wherein the sending the classification data to the front end for presentation based on the preset dimension comprises:
receiving the classification data fed back by the display database;
transmitting the classification data to the front end for display based on a preset dimension;
the predetermined dimension includes at least a predetermined area range.
5. A complement accuracy statistic device, the device comprising:
the receiving module is used for receiving the signing data and the complement data of all orders; the receiving module is also used for receiving signing data and complement data of the effective order fed back by the database and receiving preset dimensionality for displaying the database feedback;
the screening module is used for screening the signing data and the complement data of all orders to obtain signing data and complement data of effective orders; the signing data at least comprises order identification and signing business information; the complement data at least comprises order identification and system matching business information;
the association judging module is used for associating the signing data and the complement data of each order based on the order identification and judging whether the signing business information of each order is consistent with the system matching business information or not; comprising the following steps:
an association unit for associating the sign-up data and the complement data of each order based on the order identification;
the judging unit is used for judging whether the signing business information of each order is consistent with the system matching business information;
the statistics module is used for counting the accurate order quantity of all the complements and the judged order total quantity to obtain statistics data;
the classification module is used for classifying the statistical data according to preset classification conditions to obtain classification data, and is specifically used for:
dividing the effective orders based on the pre-acquired signing time and/or complement time and the preset dimension to obtain a plurality of effective order groups;
counting the accurate order quantity recorded as the judgment result in each effective order group to obtain the accurate number of each effective order group, and counting the total number of effective orders in each effective order group; the classification data includes at least the exact number and a total number of valid orders;
and the sending module is used for synchronizing the signing data and the complement data of the effective order to the database to store and send the classified data to the display database, and sending the classified data to the front end for display based on a preset dimension.
6. The apparatus for counting complement accuracy according to claim 5, wherein the association judgment module specifically comprises:
the association unit is also used for associating the signing business information of the effective order with the corresponding signing business history information based on the order identification, and associating the system matching business information of the effective order with the corresponding system matching business history information based on the order identification;
the judging unit is further used for judging whether the signing business information of the effective order is consistent with the corresponding signing business history information and the system matching business information of the effective order is consistent with the corresponding system matching business history information or not;
the receiving module is also used for signing in business department history information and system matching business department history information and receiving the classification data fed back by the display database;
the sending module is also used for sending the classified data to a display database.
7. The apparatus of claim 5, further comprising:
and the screening module is also used for screening out the valid orders with inconsistent judging results and screening out valid orders with wrong types based on the order identification.
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