CN112561558A - Express time portrait generation method, generation device, equipment and storage medium - Google Patents
Express time portrait generation method, generation device, equipment and storage medium Download PDFInfo
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Abstract
A generation method, a generation device, equipment and a storage medium of an express time portrait are provided, wherein the generation method comprises the following steps: the method comprises the steps of obtaining and storing express service data information, wherein the express service data information comprises data information of each operation link from express order generation to express delivery ending; extracting time information in express service data information; and carrying out correlation analysis processing on the time information to generate an express time portrait. Through express time portrayal, the quantity prediction of express delivery pieces can be realized, and intelligent scheduling and express routing planning of express delivery are further realized; draw through express delivery time and can abstract out different shopping scenes, shopping motivation, shopping experience, the shopping feedback relevant with consumer's shopping time, and then abstract out consumer's shopping time overall view, further can realize that the express delivery is more comprehensive, more intelligent serve in shopping mall, trade company, consumer, electricity merchant platform, website, courier, promote express delivery service efficiency, improve consumer experience.
Description
Technical Field
The invention relates to the technical field of express delivery, in particular to a method, a device, equipment and a storage medium for generating an express delivery time portrait.
Background
The rise of express delivery trade has greatly made things convenient for user's online shopping, and along with the development of express delivery trade, the express delivery trade still has following problem:
1. the business volume of the express industry can be influenced by the shopping frequency of the user, the shopping habit of the user and festival sales promotion activities, but the shopping frequency and the shopping habit of the consumer are not mined by express data information at present, and the consumer cannot be analyzed through the insight of the express business;
2. consumers have personalized service requirements on the pickup time, the pickup time and the express whole-course time, but the service promotion of the express industry is limited at present, and the personalized service requirements are difficult to meet;
3. the operation of the express delivery industry is greatly influenced by commercial activities and the like, and the express delivery operation planning is relatively passive.
Disclosure of Invention
Aiming at the defects in the express industry, the application provides a generation method, a generation device, equipment and a storage medium of an express time portrait, different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of a consumer can be abstracted through the express time portrait, and further the shopping time complete of the consumer is abstracted.
The technical scheme of the invention is as follows:
the invention provides a method for generating an express time portrait, which comprises the following steps:
the method comprises the steps of obtaining and storing express service data information, wherein the express service data information comprises data information of each operation link from express order generation to express delivery ending;
extracting time information in the express service data information;
and performing correlation analysis processing on the time information to generate an express time portrait.
Further preferably, the acquiring and storing express delivery service data information specifically includes the steps of:
collecting data information of each operation link in express business;
analyzing the data information through a log analyzer, and converting the analyzed data information into structured data;
and storing the structured data in a Kafka message queue.
Further preferably, before converting the parsed data information into the structured data, a step of performing data desensitization processing on the parsed data information is further included.
Further preferably, after analyzing the data information, the method further includes determining whether time information in the analyzed data information is abnormal, and if so, further correcting the abnormal time information.
Further preferably, the performing a correlation analysis process on the time information to generate an express time portrait includes:
matching the time information with preset time attribute information;
and establishing an express time portrait of the matched time information and the preset time attribute information.
Further preferably, the preset time attribute information includes an e-commerce festival, a solar calendar festival, a lunar calendar festival, a custom festival, and an express delivery cycle.
Preferably, the process of extracting the time information in the express service data information further includes extracting ID information in the express service data information, and further, after the express time portrait is generated, the process of associating and mapping the ID information and the express time portrait.
The invention also provides a device for generating the express time portrait, which comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring and storing express service data information, and the express service data information comprises data information of each operation link from express order generation to express delivery ending;
the extraction module is used for extracting the time information in the express service data information;
and the generation module is used for performing correlation analysis processing on the time information to generate an express time portrait.
The invention also provides terminal equipment for the express time portrait, which comprises a processor and a memory, wherein at least one instruction, at least one section of program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one section of program, the code set or the instruction set is loaded and executed by the processor to realize the method for generating the express time portrait.
The invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the method for generating the express time portrait.
According to the generation method, the generation device, the equipment and the storage medium of the express time portrait, the method, the device and the equipment for generating the express time portrait at least have the following advantages:
1) through drawing portrait in express delivery time, can realize express delivery volume prediction, further realize express delivery intelligence arrangement of shifts, express delivery route planning.
2) Different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of the consumer can be abstracted through express time portrait, and then the shopping time overall appearance of the consumer is abstracted, so that express can be further more comprehensively and intelligently served to malls, merchants, consumers, e-commerce platforms, websites and couriers.
3) Promote express delivery service efficiency, improve consumer and experience.
4) Data support is provided for personalized express delivery products.
Drawings
FIG. 1 is an express delivery flow diagram;
FIG. 2 is a flow chart of a method for generating an express time portrait;
FIG. 3 is a schematic diagram of an express time portrait generation device;
fig. 4 is a schematic diagram of an express time portrait terminal device.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
Under the background of big data era, user information is flooded in a network, each concrete information of a user is abstracted into labels, and the labels are utilized to concretize the user image, so that a targeted service is provided for the user, namely the user portrait, and the user portrait is widely applied in various fields. The basic characteristic of the express delivery industry is shown in a complete express delivery flow chart shown in figure 1, no matter a pickup link or a delivery link, each operation link in the whole express delivery process has specific operation time, and based on the idea of user portrait, the method creatively provides the idea of express delivery time portrait, namely abstracting time information of each operation link of express delivery into labels, and generating the express delivery time portrait by using the labels. The problems existing in the express industry at present can be solved through the express time portrait, for example, the quantity prediction of express delivery can be realized through the express time portrait, and the intelligent scheduling and the express routing planning of express delivery are further realized; the express time portrait can also improve the personalized express product service of the consumer, for example, the personalized service requirements of the consumer on the pickup time and the pickup time are met; through the express delivery time portrait, different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of the consumer can be abstracted, the shopping time overall appearance of the consumer is further abstracted, and the express delivery can be further more comprehensively and intelligently served to malls, merchants, consumers, e-commerce platforms, websites and couriers. The following describes a specific implementation scheme of the express time portrait provided by the application.
The first embodiment is as follows:
the present embodiment provides a method for generating an express time portrait, a flowchart of which is shown in fig. 2, and specifically includes the following steps.
S100: and acquiring and storing express service data information.
The express service data information comprises data information of each operation link from express order generation to express delivery ending; referring to fig. 1, in the express order generation step, the data information generated in the step includes, for example, sender basic information, recipient basic information, and an express order number; in a business outlet link, the data information generated in the link includes, for example, basic information and operation time information of the business outlet; and by analogy, corresponding data information is generated in each link of express delivery.
Each link of express delivery is configured with corresponding operating equipment (such as a code scanner), data information generated by the corresponding link is acquired through the operating equipment, and then the acquired data is sent to a background management system (such as a management platform) through a flash data channel or a Kafka data channel by the operating equipment, wherein the background management system is used for collecting the data information of each link of express delivery so as to uniformly manage the data information of express delivery service.
Further, the step of acquiring and storing the express service data information specifically comprises the following steps:
s101: and acquiring data information of each operation link in the express service.
Specifically, the express service data information is acquired based on the background management system, and the background management system manages and stores the collected data information of each link through association mapping, for example, the data information generated from a certain express self-generated order to each link after delivery is finished is associated and mapped and stored according to an express order number, so that all the data information associated with the express order number can be called subsequently according to the express order number, and the associated mapping storage mode greatly facilitates subsequent checking or searching of the required data information.
S102: and analyzing the data information, and converting the analyzed data information into structured data.
Because the data information generated by different express links is different, and the data formats generated by different operating devices are also different, in order to facilitate the extraction of subsequent time information, the acquired data information is analyzed in the step, and the analyzed data information is converted into structured data.
Structured data, also called row data, is data logically represented and implemented by a two-dimensional table structure, strictly following the data format and length specifications, and mainly stored and managed by a relational database. The general features of structured data are: data is in row units, one row of data represents information of one entity, and the attribute of each row of data is the same. Can be represented by data or a uniform structure, called structured data, such as numbers, symbols. The traditional relational data model and the row data are stored in a database and can be represented by a two-dimensional table structure. Therefore, the structured data is very convenient for query, and further greatly facilitates the extraction operation in step S200.
Because the express delivery service data information contains sensitive information (such as gender) of a receiver or/and a sender, further, before converting the analyzed data information into structured data, the method further comprises the step of carrying out data desensitization processing on the analyzed data information, and anonymizing the sensitive information through a data desensitization technology to achieve the effect of protecting the sensitive information, wherein the data desensitization technology is well known to technical personnel in the field, for example, a substitution mode is adopted to carry out data desensitization, namely disguised data is used to completely replace the sensitive data in source data, and the data used for replacement generally has irreversibility to ensure safety, and the specific process of data desensitization is not described in this embodiment.
Since the express time portrayal is realized, the time information extracted in the step S200 must be ensured to be correct, and in practical application, the time information may be wrong or missing due to the failure of the operating equipment in each express link.
Based on the characteristic that the express flow has the sequence of operation time, the implementation corrects the abnormal time information through the sequence of the express links, for example, when the time information is missing in the data information fed back by a certain express link, the time information of the express link is determined through the previous link and the next link of the express link, and for example, when the time information fed back by a certain express link is obviously not matched with the time information fed back by the previous link and the next link (for example, the time information is earlier than that of the previous link or is later than that of the next link), the time information of the express link can also be corrected through the previous link and the next link of the express link.
S103: the structured data is stored in the Kafka message queue.
Kafka is a distributed messaging system, using Scala development language, with horizontal scalability and high throughput.
S200: and extracting time information in the express service data information.
By reading the structured data in the Kafka message queue, the time information in the structured data is further extracted.
S300: and carrying out correlation analysis processing on the time information to generate an express time portrait.
The method specifically comprises the following steps of performing correlation analysis processing on time information to generate an express time portrait, and specifically comprises the following steps:
s301: and matching the time information with preset time attribute information.
The preset time attribute information includes an e-commerce festival, a solar festival, a lunar festival, a custom festival, an express delivery cycle, and the like, and specific preset time attribute information is described below.
The festival of the electric business, the festival cost of the electric business is the light rod festival, and the sales promotion activities of various 'light rod festivals' of the well-known electric business are called 'electric business festivals' by net friends. The electric business festival is the festival of the electric business promotion activity to drive the consumer to move. Currently, e-commerce festivals include: twenty-one, twenty-two, 618 (Jingdong), 818 (suning), beginning season, graduation season, new spring, new autumn, new winter, etc.
The solar calendar festival refers to a festival corresponding to the solar calendar time, and includes, for example, a birth date, a valentine's day, a fool's day, a labor day, a mother day, and a father day.
The lunar calendar festival refers to the festival corresponding to the lunar calendar time, and includes, for example, the spring festival, the afternoon festival, the mid-autumn festival, and the like.
The custom festival is a festival defined according to natural time and special requirements of consumers, and comprises a payroll day, a repayment day, a commemorative day, a member day, a work and rest day and the like.
The express cycle refers to the whole process from order generation to delivery end of express, so the express cycle is equal to the order generation time (order placing time) minus the delivery end time (receiving time).
The e-commerce festival, the solar festival and the lunar festival are obtained according to known festival definitions, and the custom festival and the express period are obtained through statistics of a large amount of data, for example, the express period can be obtained through statistics of historical data through statistics methods such as mode and average.
Before generating the express time portrait, the preset time attribute information needs to be classified and stored in an earlier stage, for example, the e-commerce festivals are classified into one type, the solar-calendar festivals are classified into one type, the lunar-calendar festivals are classified into one type, the user-defined festivals are classified into one type, and the express periods are classified into one type.
Further, the format of the time information is year-month-time-minute-second, for example: 2020-08-1409:00:00.
The rule corresponding to the time information and the preset time attribute information is as follows:
2020-06-1800: 00:00 → 2020-06-1900: 00:00 → → sixty-eight days;
2020-10-0100: 00:00 → 2020-10-0200: 00:00 → → national day of celebration;
2020-10-0100: 00:00 → 2020-10-0200: 00:00 → → mid-autumn;
2020-10-0100: 00:00 → 2020-10-0900: 00:00 → national holiday.
Therefore, the time information can be matched with the preset time attribute information through the rule. Further, in order to improve the matching accuracy, for example, the correct associated matching cannot be achieved only through the time information between the new autumn clothing and the open school season in the e-commerce festival, so that the article information in the express service data information can be further analyzed, the article attribute is analyzed, and whether the label of the time information is the new autumn clothing or the open school season is further judged.
S302: and establishing an express time portrait of the matched time information and the preset time attribute information.
For example, a corresponding express time portrait is established according to the time information of 2019-06-1815: 24:36 and the matched e-commerce festival 618.
In order to expand the application range of the express time portrait, for example, shopping habits of consumers are abstracted through the express time portrait, ID information in express business data information is further extracted, specifically, ID information (the ID information can be an online shopping account number of the consumer) in structured data is extracted, after the express time portrait is generated, the ID information and the corresponding express time portrait are subjected to associated mapping, so that information such as shopping frequency, shopping habits and the like of the consumers can be abstracted through the express time portrait, and then information such as shopping habits, shopping hobbies and the like of the consumers can be recommended to an e-commerce platform through the ID information.
The express time portrait generation method provided by the embodiment can bring the following effects:
1) through drawing portrait in express delivery time, can realize express delivery volume prediction, further realize express delivery intelligence arrangement of shifts, express delivery route planning.
2) Different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of the consumer can be abstracted through express time portrait, and then the shopping time overall appearance of the consumer is abstracted, so that express can be further more comprehensively and intelligently served to malls, merchants, consumers, e-commerce platforms, websites and couriers.
3) The service is improved, the consumer experience is improved, and for example, the arrival time of express can be estimated by the consumer according to the express period.
4) Data support is provided for personalized express delivery products.
5) The number of express deliveries can be predicted in advance through the express delivery period, and further, workers and vehicles can be arranged in advance, and the scheduling can also be optimized in advance.
6) Draw portrait wholly through express delivery time can promote delivery efficiency and service.
Example two:
based on the first embodiment, the present embodiment provides a generation apparatus for express time portrait, and a schematic diagram of the generation apparatus is shown in fig. 3, and the generation apparatus includes an obtaining module 100, an extracting module 200, and a generating module 300.
The obtaining module 100 is configured to obtain and store express service data information, where the express service data information includes data information of each operation link from express order generation to express delivery ending.
The obtaining module 100 includes an obtaining unit 101, an analyzing unit 102, a correcting unit 103, and a storing unit 104, where the obtaining unit 101 is configured to obtain data information of each operation link in the express delivery service; the analyzing unit 102 is configured to analyze the data information and convert the analyzed data information into structured data; the correcting unit 103 is configured to determine whether time information in the analyzed data information is abnormal, and if the time information is abnormal, further correct the abnormal time information; the storage unit 104 is used for storing the structured data in the Kafka message queue. For the structured data and Kafka message queue, refer to the description in the first embodiment, which is not repeated in this embodiment.
The extraction module 200 is configured to extract time information in the express service data information.
The generating module 300 is configured to perform correlation analysis processing on the time information to generate an express time portrait. Specifically, the generating module 300 includes a matching unit 301 and a generating unit 302, where the matching unit 301 is configured to match time information with preset time attribute information; the generating unit 302 is configured to establish a courier time portrait of the matched time information and the preset time attribute information. For the preset time attribute information, please refer to the description in the first embodiment, which is not described in detail in this embodiment.
The express time portrait generation device provided by the embodiment can bring the following effects:
1) through drawing portrait in express delivery time, can realize express delivery volume prediction, further realize express delivery intelligence arrangement of shifts, express delivery route planning.
2) Different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of the consumer can be abstracted through express time portrait, and then the shopping time overall appearance of the consumer is abstracted, so that express can be further more comprehensively and intelligently served to malls, merchants, consumers, e-commerce platforms, websites and couriers.
3) The service is improved, the consumer experience is improved, and for example, the arrival time of express can be estimated by the consumer according to the express period.
4) Data support is provided for personalized express delivery products.
5) The number of the express can be predicted in advance through the express period, further, workers and vehicles can be arranged in advance, the shift can be optimized in advance, and distribution efficiency and service are improved.
Example three:
based on the first embodiment and the second embodiment, the present embodiment provides a terminal device for express time portrayal, a schematic diagram of the terminal device is shown in fig. 4, and the terminal device 400 may be a tablet computer, a notebook computer or a desktop computer. The terminal device 400 may also be referred to by other names, such as portable terminal, laptop terminal, desktop terminal, etc.
In general, the terminal device 400 includes a processor 4001 and a memory 4002, and the processor 4001 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 4001 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 4001 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also referred to as a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state.
In some embodiments, the processor 4001 may be integrated with a GPU (Graphics Processing Unit) for rendering and drawing content required to be displayed on the display screen. In some embodiments, the processor 4001 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
The memory 4002 may include one or more computer-readable storage media, which may be non-transitory. Memory 4002 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 4002 is used to store at least one instruction, at least one program, set of codes, or set of instructions for execution by the processor 4001 to implement the express time representation generation method provided by embodiment one of the present application.
Therefore, the device 400 of the present application, which executes the method for generating a time portrait of express delivery provided in the first embodiment through at least one instruction, at least one program, a code set, or an instruction set, has the following advantages:
1) through drawing portrait in express delivery time, can realize express delivery volume prediction, further realize express delivery intelligence arrangement of shifts, express delivery route planning.
2) Different shopping scenes, shopping motivations, shopping experiences and shopping feedback related to the shopping time of the consumer can be abstracted through express time portrait, and then the shopping time overall appearance of the consumer is abstracted, so that express can be further more comprehensively and intelligently served to malls, merchants, consumers, e-commerce platforms, websites and couriers.
3) The service is improved, the consumer experience is improved, and for example, the arrival time of express can be estimated by the consumer according to the express period.
4) Data support is provided for personalized express delivery products.
5) The number of the express can be predicted in advance through the express period, further, workers and vehicles can be arranged in advance, the shift can be optimized in advance, and distribution efficiency and service are improved.
In some embodiments, the apparatus 400 may further optionally include: a peripheral interface 4003 and at least one peripheral. The processor 4001, the memory 4002, and the peripheral interface 4003 may be connected by a bus or a signal line. Each peripheral device may be connected to peripheral interface 4003 by a bus, signal line, or circuit board.
Specifically, in this embodiment, in order to realize express time portrayal, the corresponding peripheral device includes a background management platform 4004 interacting with information of each link of the express, the background management platform 4004 may acquire data information of each link of the express, and further, the processor 4001 may acquire required express service data information through the background management platform 4004.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and which may also be a volatile computer-readable storage medium. The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the method for generating a time-portrait of express delivery according to the first embodiment.
The modules in the second embodiment, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.
Claims (10)
1. A method for generating an express time portrait is characterized by comprising the following steps:
the method comprises the steps of obtaining and storing express service data information, wherein the express service data information comprises data information of each operation link from express order generation to express delivery ending;
extracting time information in the express service data information;
and performing correlation analysis processing on the time information to generate an express time portrait.
2. The generation method according to claim 1, wherein the acquiring and storing express delivery service data information specifically includes the steps of:
acquiring data information of each operation link in express business;
analyzing the data information, and converting the analyzed data information into structured data;
and storing the structured data in a Kafka message queue.
3. The generation method of claim 2, further comprising the step of performing a data desensitization process on the parsed data information prior to converting the parsed data information into structured data.
4. The generation method of claim 2, wherein after the analyzing the data information, the method further comprises determining whether time information in the analyzed data information is abnormal, and if so, further comprising correcting the abnormal time information.
5. The method of claim 1, wherein the step of performing correlation analysis on the time information to generate the express time portrait comprises the steps of:
matching the time information with preset time attribute information;
and establishing an express time portrait of the matched time information and the preset time attribute information.
6. The generation method according to claim 5, wherein the preset time attribute information includes an e-commerce festival, a solar-calendar festival, a lunar-calendar festival, a custom festival, and a courier cycle.
7. The generation method of claim 1, wherein the extracting of the time information in the express delivery service data information further comprises extracting ID information in the express delivery service data information, and further comprising associating and mapping the ID information with the express delivery time portrait after the express delivery time portrait is generated.
8. An express time portrait generation device, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring and storing express service data information, and the express service data information comprises data information of each operation link from express order generation to express delivery ending;
the extraction module is used for extracting the time information in the express service data information;
and the generation module is used for performing correlation analysis processing on the time information to generate an express time portrait.
9. An express time portrait terminal device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a set of codes, or a set of instructions, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the express time portrait generation method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a method of generating a courier time representation as set forth in any one of claims 1 to 7.
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| CN113935696A (en) * | 2021-12-14 | 2022-01-14 | 国家邮政局邮政业安全中心 | Consignment behavior abnormity analysis method and system, electronic equipment and storage medium |
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