CN111815239A - Error complement order statistics method, device and computer readable storage medium - Google Patents
Error complement order statistics method, device and computer readable storage medium Download PDFInfo
- Publication number
- CN111815239A CN111815239A CN202010673725.2A CN202010673725A CN111815239A CN 111815239 A CN111815239 A CN 111815239A CN 202010673725 A CN202010673725 A CN 202010673725A CN 111815239 A CN111815239 A CN 111815239A
- Authority
- CN
- China
- Prior art keywords
- data
- point
- coverage area
- business
- dispatched
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000000295 complement effect Effects 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000007619 statistical method Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 20
- 230000001502 supplementing effect Effects 0.000 description 10
- 238000004364 calculation method Methods 0.000 description 4
- 239000013589 supplement Substances 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000003139 buffering effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
-
- 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
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Development Economics (AREA)
- Probability & Statistics with Applications (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A statistical method, device and computer readable storage medium for an error complement order are provided. The invention discloses a statistical method for an error complement order, which comprises the following steps: receiving supplementary code data and sign-in data of an effective order; generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data; judging whether the distance difference is within a preset threshold range; counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders; the invention has the advantages that: the method can quickly and accurately calculate the distance between the actual delivery business point and the delivery business point of the order, so as to judge whether the order belongs to the preset range for delivery, accurately judge whether the order belongs to a code-supplementing error order, lay a good foundation for the follow-up analysis and improvement of code-supplementing operation, and automatically process and reduce the labor cost.
Description
Technical Field
The invention relates to the field of logistics, in particular to a method and a device for counting an error complement order and a computer readable storage medium.
Background
The express delivery is transported after being collected by the logistics company, and the transportation is carried out through different areas in the way, and the transfer is carried out from different transportation departments, and finally the express delivery is carried out at the business point of the destination, and the customer who sends the express delivery is required to be sent by the business point nearest to the receiving address. However, due to the fact that the existing operation system is imperfect and the situation that the receiving address is changed in the middle of express transportation sometimes occurs in actual transportation of the express delivery, the business point of final arrival and delivery is far away from the receiving address, so that the express delivery needs to be transported between the business points, delivery time is prolonged, and transportation cost is increased.
In order to solve the problem, at present, a method of supplementing codes to the express waybills in the transportation process is adopted, namely information is supplemented to the express waybills in the transportation process, so that the accuracy of positioning a business point closest to a goods receiving address for delivery is improved, and the purposes of delivering the express to a customer as soon as possible and saving the transportation cost are achieved.
However, in order to count the wrong complement order for the follow-up analysis and improvement under the condition that the wrong complement exists at present, a worker of the dispatching business point manually compares whether the actual dispatching business point is consistent with the business point to be dispatched so as to judge whether the complement result is accurate, and therefore the wrong complement order is positioned. However, the number of the delivered parts per day is millions at present, and when the delivery amount of a certain business point exceeds the delivery capacity of the business point, the condition that the nearby business point assists in delivering the parts cannot be roughly classified as the actual delivery business point and the business point to be delivered are inconsistent, namely the code supplement is wrong, the method for manually judging and counting the code supplement wrong orders is very difficult to execute, and the counted code supplement wrong orders are also inaccurate.
Disclosure of Invention
The invention aims to: the method, the device and the computer readable storage medium for counting the error complement orders are efficient and accurate, so that the problems of low efficiency and inaccurate result of manual counting of the error complement orders are solved.
The technical scheme of the invention is as follows: in a first aspect, a statistical method for an order of a wrong complement is provided, where the method includes:
receiving supplementary code data and sign-in data of an effective order;
generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data;
judging whether the distance difference is within a preset threshold range;
and counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders.
Further, the receiving the complement data and the sign-in data of the valid order specifically includes:
and receiving the complement data and the sign-in data of the effective orders transmitted and screened by the dispatching end through the rocktMQ.
Furthermore, the code supplementing data at least comprises an order number, code supplementing time, a receiving address and longitude and latitude coordinates corresponding to the receiving address, and the sign-off data at least comprises the order number, an actual delivery business point and a longitude and latitude coordinate set corresponding to the actual delivery business point.
Further, the generating of the distance difference between the to-be-delivered business point and the actual delivery business point according to the complement data and the sign-off data specifically includes:
converting the complement data and the sign-in data of the effective order to respectively generate data of a coverage area of the business point to be dispatched and data of a coverage area of the actual dispatch business point;
respectively calculating to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point based on the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point;
and generating the distance difference between the to-be-dispatched business point and the actual dispatch business point according to the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
Further, the converting the complement data and the sign-off data of the valid order to generate the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point respectively further comprises:
receiving historical data of a coverage area of a to-be-dispatched business point and historical data of a coverage area of an actual dispatch business point, which are fed back by a database;
comparing whether the data of the coverage area of the corresponding dispatching business point and the historical data of the coverage area of the corresponding dispatching business point are consistent or not; if the comparison result is not consistent with the comparison result,
sending the data of the coverage area of the business points to be dispatched to the database so as to update the historical data of the coverage area of the business points to be dispatched in a covering manner;
comparing whether the actual delivery business point coverage area data is consistent with the actual delivery business point coverage area historical data; if the comparison result is not consistent with the comparison result,
and sending the actual delivery business point coverage area data to the database so as to update the historical data of the actual delivery business point coverage area in a covering manner.
Further, the calculating respectively based on the data of the coverage area of the to-be-dispatched service point and the data of the coverage area of the actual dispatch service point to obtain the data of the center point of the to-be-dispatched service point and the data of the center point of the actual dispatch service point specifically comprises:
and respectively calculating the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point by utilizing a Geometry function so as to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
Further, the calculating the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point by using the Geometry function specifically includes:
judging whether the quantity of the data of the business points to be dispatched is more than 1; if the judgment result is negative, calculating the coverage area data of the business point to be dispatched by utilizing a Geometry function so as to obtain the central point data of the business point to be dispatched;
if the judgment result is yes, merging and processing the data of the coverage area of the business points to be dispatched to obtain the data of the merged coverage area of the business points to be dispatched;
calculating the business points to be dispatched and combining coverage area data by utilizing a Geometry function so as to obtain the central point data of the business points to be dispatched;
judging whether the number of the data of the coverage area of the actual delivery business point is more than 1; if the judgment result is negative, calculating the coverage area data of the actual dispatch business point by using a Geometry function to obtain the central point data of the actual dispatch business point;
if the judgment result is yes, merging and processing the data of the coverage area of the actual delivery business point to obtain the data of the merged coverage area of the actual delivery business point;
and calculating the data of the combined coverage area of the actual dispatch service points by using a Geometry function to obtain the data of the center points of the actual dispatch service points.
Further, the method further comprises:
and generating the ratio of the number of the complement error orders to the number of all valid orders.
In a second aspect, an apparatus for statistics of error-filled orders is provided, the apparatus comprising:
the receiving module is used for receiving the complement data and the sign-in data of the effective order;
the generating module is used for generating the distance difference between the business point to be dispatched and the actual dispatch business point according to the complement data and the signing data;
the judging module is used for judging whether the distance difference is within a preset threshold range;
and the counting module is used for counting all orders with the distance difference exceeding the preset threshold range to obtain the number of the complement error orders.
In a third aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of the first aspect.
Compared with the prior art, the invention has the advantages that: the method can quickly and accurately calculate the distance between the actual delivery business point and the delivery business point of the order, so as to judge whether the order belongs to the preset range for delivery, accurately judge whether the order belongs to a code-supplementing error order, lay a good foundation for the follow-up analysis and improvement of code-supplementing operation, and automatically process and reduce the labor cost.
Drawings
The invention is further described with reference to the following figures and examples:
FIG. 1 is a flowchart of a method for counting an order with a complement error according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for counting orders with complement errors according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for counting an order with a complement error according to an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, 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 obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be 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 invention.
The method aims to provide a wrong complement order counting method, which can automatically compare actual delivery business point information of millions and millions with business point information to be delivered every day, efficiently and accurately count a complement wrong order and prepare for subsequent analysis and improvement of the current complement mode; the problem that at present, a large amount of actual delivery service point information and delivery service point information are difficult to deal with manually, and the wrong supplementary code order quantity is difficult to obtain is solved.
In the present application, "a plurality" means 2 or more.
Example 1: the embodiment provides a statistical method for an error complement order, which is shown in fig. 1 and includes:
101. receiving supplementary code data and sign-in data of an effective order;
specifically, receiving the complement data and the sign-in data of the effective orders transmitted and screened by the dispatch terminal through the rocktMQ.
Specifically, in this embodiment, the code supplementing data at least includes an order number, a code supplementing time, a receiving address, and longitude and latitude coordinates corresponding to the receiving address, and the sign-off data at least includes the order number, an actual delivery business point, and a longitude and latitude coordinate set corresponding to the actual delivery business point. And associating the supplementary code data and the signing data of the same order according to the order number.
102. Generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data;
in this embodiment, the steps specifically include:
102-1, converting the complement data and the sign-in data of the effective order to respectively generate data of a coverage area of a to-be-dispatched business point and data of a coverage area of an actual dispatch business point;
102-2, respectively calculating to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point based on the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point;
specifically, the Geometry function is used for respectively calculating the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point so as to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
More specifically, in this embodiment, the sub-steps specifically include:
judging whether the quantity of the data of the business points to be dispatched is more than 1; if the judgment result is negative, calculating the coverage area data of the business point to be dispatched by utilizing a Geometry function so as to obtain the central point data of the business point to be dispatched;
if the judgment result is yes, merging and processing the data of the coverage area of the business points to be dispatched to obtain the data of the merged coverage area of the business points to be dispatched;
calculating the business points to be dispatched and combining coverage area data by utilizing a Geometry function so as to obtain the central point data of the business points to be dispatched;
judging whether the number of the data of the coverage area of the actual delivery business point is more than 1; if the judgment result is negative, calculating the coverage area data of the actual dispatch business point by using a Geometry function to obtain the central point data of the actual dispatch business point;
if the judgment result is yes, merging and processing the data of the coverage area of the actual delivery business point to obtain the data of the merged coverage area of the actual delivery business point;
and calculating the data of the combined coverage area of the actual dispatch service points by using a Geometry function to obtain the data of the center points of the actual dispatch service points.
102-3, generating the distance difference between the to-be-dispatched business point and the actual dispatch business point according to the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
After substep 102-1, comparing and updating the data of the coverage area of the service point to be dispatched, the data of the coverage area of the actual service point to be dispatched with the historical data of the coverage area of the service point to be dispatched and the historical data of the coverage area of the actual service point to be dispatched, which specifically comprises the following steps:
receiving historical data of a coverage area of a to-be-dispatched business point and historical data of a coverage area of an actual dispatch business point, which are fed back by a database;
comparing whether the data of the coverage area of the corresponding dispatching business point and the historical data of the coverage area of the corresponding dispatching business point are consistent or not; if the comparison result is not consistent with the comparison result,
sending the data of the coverage area of the business points to be dispatched to the database so as to update the historical data of the coverage area of the business points to be dispatched in a covering manner;
comparing whether the actual delivery business point coverage area data is consistent with the actual delivery business point coverage area historical data; if the comparison result is not consistent with the comparison result,
and sending the actual delivery business point coverage area data to the database so as to update the historical data of the actual delivery business point coverage area in a covering manner.
103. Judging whether the distance difference is within a preset threshold range;
104. and counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders.
105. And generating the ratio of the number of the complement error orders to the number of all valid orders.
The method for counting the wrong complement orders provided by the embodiment can quickly and accurately calculate the distance between an actual delivery business point and a delivery business point to be delivered, so that whether the orders belong to a preset range or not is judged, whether the orders belong to the wrong complement orders or not is accurately judged, a good foundation is laid for the subsequent analysis and improvement of complement operations, and the labor cost is reduced through automatic processing; in addition, the distance value between the actual delivery business point and the delivery business point is convenient to obtain, and the subsequent judgment of which part of business points belong to the delivery peak area needs to be carried out, so that the supply and demand of express delivery personnel are increased, and the accuracy and efficiency of express delivery are further improved.
Example 2: the embodiment provides a statistical method for an error complement order, which is shown in fig. 2 and includes:
201. receiving supplementary code data and sign-in data of an effective order; after step 201, step 202 is performed.
Specifically, receiving the complement data and the sign-in data of the effective orders transmitted and screened by the dispatch terminal through the rocktMQ. The RocktMQ is a RocktMQ message queue. The signing data and the complement log data of millions of orders on a single day are transmitted through the RocktMQ message queue, one-time buffering can be performed, and the pressure of a service processing system is greatly reduced. In addition, the RocktMQ message queue performs message screening and filtering, eliminates data of invalid orders with empty express bill numbers, empty addresses and the like, and reserves sign-in data and complement log data of the valid orders.
Specifically, in this embodiment, the code supplementing data at least includes an order number, a code supplementing time, a receiving address, and longitude and latitude coordinates corresponding to the receiving address, and the sign-off data at least includes the order number, an actual delivery business point, and a longitude and latitude coordinate set corresponding to the actual delivery business point.
And determining the supplementary code data and the signing data of the same order according to the order number. More specifically, the delivery address contained in the replenishment data has one or 2 or more than 2, and the replenishment time is automatically recorded when the delivery address is updated by replenishment, namely, the replenishment time and the delivery address are in one-to-one correspondence. And when the delivery addresses contained in the code supplementing data are more than 2 or 2, sorting the delivery addresses according to the positive sequence of the code supplementing time, and selecting the delivery address at the last time point and the longitude and latitude coordinates corresponding to the delivery address at the last time point.
The complement data and the sign-off data may also include other data, such as the number of the service point to be dispatched and the number of the actual service point to be dispatched. The present invention is not particularly limited in this regard.
202. Generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data; after step 202, step 203 is performed.
Specifically, in this embodiment, the step includes the following sub-steps:
202-1, converting the complement data and the sign-in data of the effective order to respectively generate data of a coverage area of a to-be-dispatched business point and data of a coverage area of an actual dispatch business point; after sub-step 202-1, sub-steps 202-2 and 202-3 are performed, respectively.
Specifically, according to the receiving address in the code supplementing data, the part-to-be-dispatched business point which is closest to the receiving address is located, the longitude and latitude coordinate set corresponding to the part-to-be-dispatched business point fed back by the geographic information system is obtained, the longitude and latitude coordinate set of the part-to-be-dispatched business point is converted into coverage area data of the part-to-be-dispatched business point, and the longitude and latitude coordinate set of the actual part-to-be-dispatched business point in the signed data is converted into coverage area data of the actual part-to-be-dispatched business point. More specifically, the business site coverage area is a polygon. The data of the coverage area of the to-be-dispatched business point comprises polygonal data corresponding to the coverage area of the to-be-dispatched business point, and the data of the coverage area of the actual to-be-dispatched business point comprises polygonal data corresponding to the coverage area of the actual to-be-dispatched business point. Because the longitude and latitude coordinate set of the business point to be dispatched and the longitude and latitude coordinate set of the actual dispatch business point can be 1, or a plurality of, each longitude and latitude coordinate set is converted into a polygon, the data of the coverage area of the business point to be dispatched after conversion comprises the polygon data corresponding to the coverage area of the business point to be dispatched, and the data of the coverage area of the actual dispatch business point comprises the polygon data corresponding to the coverage area of the actual dispatch business point, which can be one or a plurality of.
202-2, comparing and updating the data of the coverage area of the corresponding dispatch service point, the data of the coverage area of the actual dispatch service point with the historical data of the coverage area of the corresponding dispatch service point and the historical data of the coverage area of the actual dispatch service point; the method specifically comprises the following steps:
receiving historical data of a coverage area of a to-be-dispatched business point and historical data of a coverage area of an actual dispatch business point, which are fed back by a database;
comparing whether the data of the coverage area of the corresponding dispatching business point and the historical data of the coverage area of the corresponding dispatching business point are consistent or not; if the comparison result is inconsistent, sending the data of the coverage area of the business point to be dispatched to the database so as to update the historical data of the coverage area of the business point to be dispatched in a covering manner;
comparing whether the actual delivery business point coverage area data is consistent with the actual delivery business point coverage area historical data; if the comparison result is not consistent with the comparison result,
and sending the actual delivery business point coverage area data to the database so as to update the historical data of the actual delivery business point coverage area in a covering manner.
Specifically, in this embodiment, whether the area of the polygon corresponding to the coverage area of the corresponding dispatch service point is consistent with the area of the polygon corresponding to the historical coverage area of the corresponding dispatch service point is compared, and if the comparison result is inconsistent, which indicates that the coverage area of the corresponding dispatch service point is changed, the historical data of the coverage area of the corresponding dispatch service point is deleted and stored in the coverage area data of the corresponding dispatch service point for data updating. Similarly, comparing whether the area of the polygon corresponding to the actual dispatch service point coverage area is consistent with the area of the polygon corresponding to the actual dispatch service point historical coverage area, if the comparison result is inconsistent, the actual dispatch service point coverage area is changed, deleting the historical data of the actual dispatch service point coverage area, and storing the historical data of the actual dispatch service point coverage area for data updating.
It should be noted that: in this embodiment, the data of the coverage area of the to-be-dispatched service point and the historical data of the coverage area of the to-be-dispatched service point may be updated by comparison, the data of the coverage area of the actual dispatch service point and the historical data of the coverage area of the actual dispatch service point may be updated by comparison, and the data of the coverage area of the to-be-dispatched service point and the historical data of the coverage area of the corresponding to-be-dispatched service point, the data of the coverage area of the actual dispatch service point and the historical data of the coverage area of the actual dispatch service point may be updated by comparison at the same time. The present embodiment does not limit the specific comparison updating sequence.
202-3, respectively calculating to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point based on the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point; after sub-step 202-3, sub-step 202-4 is performed.
Specifically, in this embodiment, the Geometry function is used to calculate the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point respectively so as to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
More specifically, in this embodiment, the step includes:
judging whether the quantity of the data of the business points to be dispatched is more than 1; if not, calculating the coverage area data of the business point to be dispatched by utilizing a Geometry function so as to obtain the central point data of the business point to be dispatched.
At this time, the coverage area of the business point to be dispatched corresponds to a polygon, the calculation is carried out by utilizing the Geometry function to correspond to the polygon corresponding to the coverage area of the business point to be dispatched, and the data of the center point of the polygon is calculated to be the data of the center point of the business point to be dispatched.
If the judgment result is yes, merging and processing the data of the coverage area of the business points to be dispatched to obtain the data of the merged coverage area of the business points to be dispatched;
and calculating the business points to be dispatched and combining the coverage area data by utilizing a Geometry function so as to obtain the central point data of the business points to be dispatched.
At this time, the coverage area of the business point to be dispatched corresponds to a plurality of polygons, the plurality of corresponding polygons are merged into one polygon by utilizing a Geometry function, then the merged polygon is calculated, and the data of the center point of the polygon is calculated to be the data of the center point of the business point to be dispatched.
Similarly, judging whether the number of the data of the coverage area of the actual delivery business point is more than 1; if the judgment result is negative, calculating the coverage area data of the actual dispatch business point by using a Geometry function to obtain the central point data of the actual dispatch business point;
if the judgment result is yes, merging and processing the data of the coverage area of the actual delivery business point to obtain the data of the merged coverage area of the actual delivery business point;
and calculating the data of the combined coverage area of the actual dispatch service points by using a Geometry function to obtain the data of the center points of the actual dispatch service points.
It should be noted that: in the invention, the judgment and calculation can be carried out firstly corresponding to the data of the covering area of the dispatching business point, or the judgment and calculation can be carried out firstly on the data of the covering area of the actual dispatching business point, or the judgment and calculation can be carried out simultaneously corresponding to the data of the covering area of the dispatching business point and the data of the covering area of the actual dispatching business point, and the sequence is not limited by the invention.
202-4, generating the distance difference between the to-be-dispatched business point and the actual dispatch business point according to the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point. After step 202-4, step 203 is performed.
203. Judging whether the distance difference is within a preset threshold range; after step 203, step 204 is performed.
Specifically, a preset threshold is preset according to the actual situation, for example: when the order quantity of the required dispatch at a certain business point exceeds the dispatching capacity range of the business point, the condition that the dispatch of the adjacent business point within 5 kilometers from the business point is assisted does not belong to an error supplement code, and the preset threshold value is preset to be 5 kilometers.
More specifically, when the distance difference is not within the preset threshold range, determining whether the number of the receiving addresses in the supplementary code data is 1, if the number of the receiving addresses in the supplementary code data is not 1, querying a receiving address sequence ordered according to the supplementary code time sequence in the supplementary code data, calling a last-but-second receiving address and a corresponding longitude and latitude coordinate set in the receiving address sequence, returning to step 202 to generate the distance difference between the second to-be-dispatched business point and the actual dispatch business point, and determining whether the distance difference between the second to-be-dispatched business point and the actual dispatch business point is within the preset threshold range.
204. And counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders. After step 204, step 205 is performed.
205. And generating the ratio of the number of the complement error orders to the number of all valid orders.
The method for counting the wrong complement orders provided by the embodiment can quickly and accurately calculate the distance between an actual delivery business point and a delivery business point to be delivered, so that whether the orders belong to a preset range or not is judged, whether the orders belong to the wrong complement orders or not is accurately judged, a good foundation is laid for the subsequent analysis and improvement of complement operations, and the labor cost is reduced through automatic processing; in addition, the distance value between the actual delivery business point and the delivery business point is convenient to obtain, and the subsequent judgment of which part of business points belong to the delivery peak area needs to be carried out, so that the supply and demand of express delivery personnel are increased, and the accuracy and efficiency of express delivery are further improved.
Example 3: the embodiment provides an error complement order statistics apparatus, as shown in fig. 3, the apparatus includes:
the receiving module 21 is configured to receive complement data and sign-in data of the valid order;
the generating module 22 is used for generating the distance difference between the to-be-dispatched business point and the actual dispatch business point according to the complement data and the sign-off data;
a judging module 23, configured to judge whether the distance difference is within a preset threshold range;
and the counting module 24 is configured to count all orders with distance differences exceeding the preset threshold range to obtain the number of complement error orders, and generate a ratio of the number of complement error orders to the number of all valid orders.
The error complement order statistics apparatus provided in this embodiment is used to implement the error complement order statistics method provided in embodiments 1 and 2, and its beneficial effects are the same as those of the error complement order statistics method provided in embodiments 1 and 2, and are not described herein.
Example 4: the present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs any of the following steps:
receiving supplementary code data and sign-in data of an effective order;
generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data;
judging whether the distance difference is within a preset threshold range;
counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders;
and generating the ratio of the number of the complement error orders to the number of all valid orders.
The beneficial effects of a computer-readable storage medium provided in the embodiment of the present invention for processing and executing the step of the statistical method for the error-compensated order provided in any one of embodiments 1 and 2 are the same as those of the statistical method for the error-compensated order provided in embodiments 1 and 2, and are not repeated herein.
All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.
It should be noted that: in the foregoing embodiment, when the error complement order statistics apparatus executes an error complement order statistics method, only the division of the functional modules is taken as an example, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the functions described above. In addition, the error complement order statistics apparatus and the error complement order statistics method provided by the above embodiments belong to the same concept, and specific implementation processes and beneficial effects thereof are detailed in the method embodiments and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
It should be understood that the above-mentioned embodiments are only illustrative of the technical concepts 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 modifications made according to the spirit of the main technical scheme of the invention are covered in the protection scope of the invention.
Claims (10)
1. A statistical method for a false complement order, the method comprising:
receiving supplementary code data and sign-in data of an effective order;
generating a distance difference between a to-be-delivered business point and an actual delivery business point according to the complement data and the sign-off data;
judging whether the distance difference is within a preset threshold range;
and counting all orders with the distance difference exceeding the preset threshold range to obtain the number of complement error orders.
2. The method of claim 1, wherein the receiving of the supplementary data and the receipt data of the valid order comprises:
and receiving the complement data and the sign-in data of the effective orders transmitted and screened by the dispatching end through the rocktMQ.
3. The statistical method of the wrong-complement order according to claim 1 or 2, wherein the complement data at least comprises an order number, a complement time, a receiving address and longitude and latitude coordinates corresponding to the receiving address, and the sign-off data at least comprises the order number, an actual delivery business point and a longitude and latitude coordinate set corresponding to the actual delivery business point.
4. The method of claim 1, wherein the generating the difference between the to-be-dispatched business point and the actual dispatch business point according to the complement data and the receipt data comprises:
converting the complement data and the sign-in data of the effective order to respectively generate data of a coverage area of the business point to be dispatched and data of a coverage area of the actual dispatch business point;
respectively calculating to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point based on the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point;
and generating the distance difference between the to-be-dispatched business point and the actual dispatch business point according to the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
5. The method of claim 4, wherein the converting the complement data and the sign-off data of the valid order to generate the due delivery point coverage area data and the actual delivery point coverage area data, respectively, further comprises:
receiving historical data of a coverage area of a to-be-dispatched business point and historical data of a coverage area of an actual dispatch business point, which are fed back by a database;
comparing whether the data of the coverage area of the corresponding dispatching business point and the historical data of the coverage area of the corresponding dispatching business point are consistent or not; if the comparison result is not consistent with the comparison result,
sending the data of the coverage area of the business points to be dispatched to the database so as to update the historical data of the coverage area of the business points to be dispatched in a covering manner;
comparing whether the actual delivery business point coverage area data is consistent with the actual delivery business point coverage area historical data; if the comparison result is not consistent with the comparison result,
and sending the actual delivery business point coverage area data to the database so as to update the historical data of the actual delivery business point coverage area in a covering manner.
6. The method of claim 4, wherein the calculating the corresponding dispatch service point center point data and the actual dispatch service point center point data based on the corresponding dispatch service point coverage area data and the actual dispatch service point coverage area data respectively comprises:
and respectively calculating the data of the coverage area of the to-be-dispatched business point and the data of the coverage area of the actual dispatch business point by utilizing a Geometry function so as to obtain the data of the center point of the to-be-dispatched business point and the data of the center point of the actual dispatch business point.
7. The method of claim 6, wherein the calculating the data of the coverage area of the dispatch office and the data of the coverage area of the actual dispatch office using a Geometry function respectively comprises:
judging whether the quantity of the data of the business points to be dispatched is more than 1; if the judgment result is negative, calculating the coverage area data of the business point to be dispatched by utilizing a Geometry function so as to obtain the central point data of the business point to be dispatched;
if the judgment result is yes, merging and processing the data of the coverage area of the business points to be dispatched to obtain the data of the merged coverage area of the business points to be dispatched;
calculating the business points to be dispatched and combining coverage area data by utilizing a Geometry function so as to obtain the central point data of the business points to be dispatched;
judging whether the number of the data of the coverage area of the actual delivery business point is more than 1; if the judgment result is negative, calculating the coverage area data of the actual dispatch business point by using a Geometry function to obtain the central point data of the actual dispatch business point;
if the judgment result is yes, merging and processing the data of the coverage area of the actual delivery business point to obtain the data of the merged coverage area of the actual delivery business point;
and calculating the data of the combined coverage area of the actual dispatch service points by using a Geometry function to obtain the data of the center points of the actual dispatch service points.
8. The statistical method of the orders with complement errors as recited in claim 1, further comprising:
and generating the ratio of the number of the complement error orders to the number of all valid orders.
9. An apparatus for statistics of false-complement orders, the apparatus comprising:
the receiving module is used for receiving the complement data and the sign-in data of the effective order;
the generating module is used for generating the distance difference between the business point to be dispatched and the actual dispatch business point according to the complement data and the signing data;
the judging module is used for judging whether the distance difference is within a preset threshold range;
and the counting module is used for counting all orders with the distance difference exceeding the preset threshold range to obtain the number of the complement error orders.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010673725.2A CN111815239B (en) | 2020-07-14 | 2020-07-14 | Error complement order statistics method, device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010673725.2A CN111815239B (en) | 2020-07-14 | 2020-07-14 | Error complement order statistics method, device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111815239A true CN111815239A (en) | 2020-10-23 |
| CN111815239B CN111815239B (en) | 2024-04-23 |
Family
ID=72842465
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010673725.2A Active CN111815239B (en) | 2020-07-14 | 2020-07-14 | Error complement order statistics method, device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111815239B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112488195A (en) * | 2020-11-30 | 2021-03-12 | 上海寻梦信息技术有限公司 | Party delivery identification method, device, equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001065271A1 (en) * | 1998-10-09 | 2001-09-07 | Cell-Loc Inc. | Methods and apparatus to position a mobile receiver using downlink signals |
| CN102780772A (en) * | 2012-07-16 | 2012-11-14 | 泸州品创科技有限公司 | Logistics positioning, authenticating and monitoring system and working method thereof |
| US20150227890A1 (en) * | 2014-02-07 | 2015-08-13 | Kristin Kaye Bednarek | Communications system and smart device apps supporting segmented order distributed distribution system |
| CN105975512A (en) * | 2016-04-28 | 2016-09-28 | 浙江大学宁波理工学院 | Method for constructing multidimensional attribute visual generalized model considering spatial position |
| CN108805476A (en) * | 2017-04-27 | 2018-11-13 | 北京京东尚科信息技术有限公司 | Electronics signs for method and apparatus |
| CN110544049A (en) * | 2019-09-11 | 2019-12-06 | 贵州省烟草公司六盘水市公司 | monitoring and early warning method, system and device based on real-time data of cigarette operation inner tube |
| CN110704484A (en) * | 2019-09-09 | 2020-01-17 | 华迪计算机集团有限公司 | Method and system for processing mass real-time data stream |
| CN111311377A (en) * | 2020-03-20 | 2020-06-19 | 时时同云科技(成都)有限责任公司 | Order processing method, device and system |
| CN111369187A (en) * | 2020-02-27 | 2020-07-03 | 进佳科技(国际)有限公司 | Compensation system after E-commerce goods delivery point change |
-
2020
- 2020-07-14 CN CN202010673725.2A patent/CN111815239B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001065271A1 (en) * | 1998-10-09 | 2001-09-07 | Cell-Loc Inc. | Methods and apparatus to position a mobile receiver using downlink signals |
| CN102780772A (en) * | 2012-07-16 | 2012-11-14 | 泸州品创科技有限公司 | Logistics positioning, authenticating and monitoring system and working method thereof |
| US20150227890A1 (en) * | 2014-02-07 | 2015-08-13 | Kristin Kaye Bednarek | Communications system and smart device apps supporting segmented order distributed distribution system |
| CN105975512A (en) * | 2016-04-28 | 2016-09-28 | 浙江大学宁波理工学院 | Method for constructing multidimensional attribute visual generalized model considering spatial position |
| CN108805476A (en) * | 2017-04-27 | 2018-11-13 | 北京京东尚科信息技术有限公司 | Electronics signs for method and apparatus |
| CN110704484A (en) * | 2019-09-09 | 2020-01-17 | 华迪计算机集团有限公司 | Method and system for processing mass real-time data stream |
| CN110544049A (en) * | 2019-09-11 | 2019-12-06 | 贵州省烟草公司六盘水市公司 | monitoring and early warning method, system and device based on real-time data of cigarette operation inner tube |
| CN111369187A (en) * | 2020-02-27 | 2020-07-03 | 进佳科技(国际)有限公司 | Compensation system after E-commerce goods delivery point change |
| CN111311377A (en) * | 2020-03-20 | 2020-06-19 | 时时同云科技(成都)有限责任公司 | Order processing method, device and system |
Non-Patent Citations (4)
| Title |
|---|
| A.PEDROCCHI: "Perspectives on MEMS in bioengineering:a novel capacitive position mecrosensor", 《IEEE TRANSACTIONS ONBIOMEDICAL ENGINEERING》, vol. 47, no. 1, pages 8 - 11 * |
| 梁戈: "互联网保险业务模式创新探讨", 《科技和产业》, vol. 18, no. 02, pages 105 - 109 * |
| 汪水盘: "UPS世界港的技术应用研究", 《湖北科技学院学报》, vol. 35, no. 11, pages 4 - 6 * |
| 陈怡欣: ""互联网+"背景下多元物流末端配送问题研究", 《科技创业月刊》, vol. 32, no. 11, pages 152 - 156 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112488195A (en) * | 2020-11-30 | 2021-03-12 | 上海寻梦信息技术有限公司 | Party delivery identification method, device, equipment and storage medium |
| CN112488195B (en) * | 2020-11-30 | 2024-04-19 | 上海寻梦信息技术有限公司 | Method, device, equipment and storage medium for identifying dispatch of dispatcher |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111815239B (en) | 2024-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108681845B (en) | Intelligent logistics order dispatching management system based on big data | |
| CN111292043A (en) | Express delivery method and device | |
| CN116307306B (en) | Intelligent scheduling method, device, equipment and storage medium based on big data | |
| CN111563709A (en) | Intelligent logistics cargo link cargo collection method and system | |
| CN111563708A (en) | Intelligent logistics cargo link transportation method and system | |
| CN115239223A (en) | Allocation center task scheduling method, device, equipment and storage medium | |
| CN113592440A (en) | Intelligent logistics pickup analysis system and method based on big data | |
| CN111047264A (en) | Logistics task allocation method and device | |
| CN115879850A (en) | Logistics information system reliability analysis method based on data flow constraint | |
| CN111815239A (en) | Error complement order statistics method, device and computer readable storage medium | |
| CN111950953A (en) | Electronic commerce distribution system based on quantity division and working method thereof | |
| KR20110026339A (en) | System and method for infrastructure operation plan | |
| CN112718507A (en) | Express sorting method, device, equipment and storage medium | |
| CN111709576A (en) | Transportation information processing system | |
| CN112001646A (en) | Material scheduling method and device, storage medium and electronic equipment | |
| CN111815237B (en) | Method and device for counting complement accuracy | |
| CN110956430A (en) | Department door recommendation method and device | |
| CN117474429B (en) | Intelligent visual electric power material transportation method and platform with carbon emission measuring and calculating function | |
| CN117273473B (en) | Intelligent logistics data acquisition system based on intelligent algorithm | |
| CN118297525A (en) | Document processing method, device, equipment and storage medium | |
| KR101212321B1 (en) | System and method for alternative simulation of logistics infrastructure | |
| CN115423409A (en) | Distribution processing method and device, storage medium and electronic equipment | |
| CN115293683A (en) | Dispatch grouping method, device, equipment and storage medium | |
| CN116562726A (en) | Method, device and storage medium for correcting logistics information | |
| CN118278849A (en) | Method and device for forwarding and returning express mail, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |