WO2020143296A1 - Procédé de collecte de données, dispositif, équipement et support de stockage lisible par ordinateur - Google Patents

Procédé de collecte de données, dispositif, équipement et support de stockage lisible par ordinateur Download PDF

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Publication number
WO2020143296A1
WO2020143296A1 PCT/CN2019/116739 CN2019116739W WO2020143296A1 WO 2020143296 A1 WO2020143296 A1 WO 2020143296A1 CN 2019116739 W CN2019116739 W CN 2019116739W WO 2020143296 A1 WO2020143296 A1 WO 2020143296A1
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WO
WIPO (PCT)
Prior art keywords
business data
data collection
time
last
collection
Prior art date
Application number
PCT/CN2019/116739
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English (en)
Chinese (zh)
Inventor
刘克亮
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平安科技（深圳）有限公司
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Publication of WO2020143296A1 publication Critical patent/WO2020143296A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/12—Network monitoring probes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/06—Generation of reports
    • H04L43/067—Generation of reports using time frame reporting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • This application relates to the field of big data technology, and in particular, to a data collection method, device, equipment, and computer-readable storage medium.
  • the upstream system pushes the daily business data to the downstream system for the downstream system to carry out the corresponding business work according to the business data. Therefore, when the business personnel go online, they can collect the business data of the day. However, if there is a holiday or business personnel travel, business data within this interval will not be collected. When the business personnel go online again, because the downstream system only provides business data collection of the day, it will result in business data Omissions in the collection caused errors in the work of the business personnel.
  • the main purpose of the present application is to provide a data collection method, device, equipment and computer-readable storage medium, aiming to solve the technical problem that data leakage collection is prone to occur in the existing business data collection.
  • the present application provides a data collection method, the data collection method includes:
  • the business data to be collected is determined based on the time of the last business data collection and the current time, and the business data to be collected is collected.
  • the present application also provides a data collection device, the data collection device includes:
  • the time acquisition module is used to acquire the time of the last business data collection when the business data collection instruction is detected
  • a time judging module used to compare the time of the last business data collection with the current time, and judge whether the current time meets the condition of missing business data collection
  • the data collection module is used to determine the business data to be collected based on the time of the last business data collection and the current time, and collect the business data to be collected.
  • the present application also provides a data collection device, the data collection device includes: a memory, a processor, and computer-readable instructions stored on the memory and operable on the processor, When the computer-readable instructions are executed by the processor, the steps of the data collection method described above are implemented.
  • the present application also provides a computer-readable storage medium having computer-readable instructions stored on the computer-readable storage medium, wherein the computer-readable instructions are implemented as described above when executed by a processor Of the data collection method.
  • a data collection method proposed in this application when a business data collection instruction is detected, first obtain the time of the last business data collection, and compare the obtained time of the last business data collection with the current time to determine the current time Whether it meets the conditions for missing business data collection, if it is met, the business data to be collected this time can be determined based on the time of the last business data collection and the current time, so as to collect the business data to be collected.
  • the data collection method proposed in this application compares the time of the last business data collection with the current time to determine whether there is any missing business data collected between the two time periods.
  • the business data corresponding to the current time and the last business data collection time is collected at one time, to avoid missing business data, and to avoid multiple collections by business personnel, which improves the efficiency of business data collection.
  • FIG. 1 is a schematic diagram of the hardware structure of a data collection device involved in an embodiment of the present application
  • FIG. 3 is a detailed flowchart of step S20 in FIG. 2;
  • FIG. 4 is a schematic flowchart of a second embodiment of the data collection method of the present application.
  • FIG. 5 is a schematic diagram of functional modules of the first embodiment of the data collection device of the present application.
  • the main solution of the embodiment of the present application is: when the business data collection instruction is detected, the time of the last business data collection is obtained; the time of the last business data collection is compared with the current time to determine whether the current time It meets the conditions for business data leakage collection; if it is, the business data to be collected is determined based on the time of the last business data collection and the current time, and the business data to be collected is collected.
  • the technical solution of the embodiment of the present application solves the technical problem that the current business data collection is prone to missing data collection.
  • FIG. 1 is a schematic diagram of a hardware structure of a data collection device involved in an embodiment of the present application.
  • the data collection method involved in the embodiments of the present application is mainly applied to a data collection device.
  • the data collection device may be a device with a display and processing function such as a PC, a portable computer, a mobile terminal, or the like.
  • the data collection device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005.
  • the communication bus 1002 is used to implement connection communication between these components.
  • the user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface and a wireless interface.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as disk storage.
  • the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • the data collection device may also include a camera, RF (Radio Frequency (radio frequency) circuits, sensors, audio circuits, Wi-Fi modules, etc.
  • sensors such as light sensors, motion sensors and other sensors.
  • the data collection device can also be configured with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, and so on, which will not be repeated here.
  • FIG. 1 does not constitute a limitation on the data collection device, and may include more or fewer components than those illustrated, or a combination of certain components, or different components. Layout.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and computer-readable instructions.
  • the network interface 1004 is mainly used to connect to a back-end server and perform data communication with the back-end server;
  • the user interface 1003 is mainly used to connect to a client (user end) and perform data communication with the client;
  • the processor 1001 and the memory 1005 It may be set in a data collection device that calls the computer-readable instructions stored in the memory 1005 through the processor 1001 and executes the data collection method provided by the embodiments of the present application.
  • the time of the last business data collection is first obtained, and the obtained time of the last business data collection is compared with the current time to determine whether the current time is in line with the business If the conditions for data leakage collection are met, the business data to be collected this time can be determined based on the time of the last business data collection and the current time, so that the business data to be collected can be collected.
  • the data collection method proposed in this application compares the time of the last business data collection with the current time to determine whether there is any missing business data collected between the two time periods.
  • the business data corresponding to the current time and the last business data collection time is collected at one time, to avoid missing business data, and to avoid multiple collections by business personnel, which improves the efficiency of business data collection.
  • FIG. 2 is a schematic flowchart of a first embodiment of a data collection method of the present application.
  • the method includes:
  • Step S10 when the business data collection instruction is detected, the time of the last business data collection is obtained
  • this application proposes a data collection method, by comparing the time of the last business data collection with the current time, to determine whether there is a data leakage collection, and when it is judged that there is a data leakage collection To collect the missing data and current data.
  • the time of the last business data collection refers to the business data collection time closest to the time when the business data collection instruction is detected.
  • the upstream system generates new business data or updated data corresponding to the old business data every day. These data are the upstream business data generated by the upstream system, and all of them need to be pushed to the downstream system in time for the downstream system to follow the upstream business.
  • the data updates the business data of the downstream system and distributes them to different salesmen to carry out corresponding business work.
  • the business data may include data information such as accounts, customers, debts, transaction information, addresses, and telephone information.
  • step S10 the business data in the downstream system is distributed to different salesmen.
  • the business personnel in the downstream system log in to the system every day to collect the business data required for the work of the day. Specifically, before step S10, it should also include:
  • Step a Establish a business data collection record table, wherein the business data collection record table records the time of business data collection.
  • each time business data is collected the corresponding business data collection time needs to be recorded. It is understandable that the upstream system pushes the business data to the downstream system every day. Therefore, the business in the downstream system The data is also collected once a day.
  • the collection time recorded in the business data collection record table All correspond to dates, such as October 12.
  • the upstream system pushes the corresponding business data information to the downstream system every day. After the business data is pushed to the downstream system, the downstream business personnel log in to the system to download the corresponding business data. Therefore, in the downstream system, Each service data pushed by the upstream system corresponds to a push record, including push time and data size, etc. These data can also be recorded correspondingly in the business data collection record table. Similarly, the business data also corresponds to the corresponding business data collection time. Therefore, when the business data has the corresponding data collection time, it can be considered that the business data has been allocated to the corresponding business personnel for use.
  • Step S20 compare the time of the last business data collection with the current time, and determine whether the current time meets the conditions for missing business data collection; if so, step S30 is executed;
  • the step S20 specifically includes:
  • Step S21 compare the time of the last service data collection with the current time, and determine whether the time difference between the time of the last service data collection and the current time is greater than one day;
  • judging whether the current time meets the conditions for missing business data collection specifically refers to judging whether the time difference between the last business data collection time and the current time is greater than one day, that is, whether there is a gap between two business data collections If the business data is not collected for more than one day or more, for example, by querying the business data collection record table, it is determined that the last time for business data collection is September 12, and the current time when the business data collection instruction is detected is September On the 14th, the time difference between the two is greater than one day, indicating that business data was not collected on September 13.
  • the time difference calculation of the business data collection time is determined based on the date, for example, September 12 and September 14 in the above example, it indicates that between the two data collections There is a case of missing business data collection on September 13th. If the last time for business data collection was September 12th, and the current detection time of the business data collection instruction is September 13th, it means that two data collections There is no missing collection between them, it is normal continuous data collection.
  • step S22 if the time difference between the time of the last business data collection and the current time is greater than one day, it is determined that the current time meets the condition of missing business data collection.
  • time difference between the time when the last business data was collected and the current time is greater than one day, there may be a holiday or the business personnel are not working, indicating that the business data has not been collected during this time period, that is, there is a missing data collection.
  • Step S30 Determine the service data to be collected based on the time of the last service data collection and the current time, and collect the service data to be collected.
  • the time of the missed collection of business data is determined based on the time of the last business data collection and the current time, and then the time of the missed collection of business data is determined. Corresponding leak collection business data.
  • the business data that the upstream system pushes to the downstream system every day is stored in the corresponding database in the downstream system before the business personnel collect the business data. It can be understood that it is stored in the database
  • the business data has a time tag, which represents the time when the business data is pushed out from the upstream system or the time when the business data should be collected in the downstream system. Therefore, after determining the time information corresponding to the data leakage collection, the business data corresponding to the leakage collection time can be determined.
  • a one-time collection of the business data that is not collected and the current business data corresponding to the current business data collection instruction is performed to improve the efficiency of business data collection and prevent the situation of missing business data collection.
  • business data can also be collected by taking a timed task.
  • the time set by the scheduled task it can be regarded as receiving the business data collection instruction, that is, the time of the last business data collection is obtained, and whether the time difference between the last business data collection time and the current time is judged If it is greater than one day, it means that the business data has not been collected. Therefore, in this embodiment, when the scheduled task of the day is started and it is detected that the business data is not collected, the business data not collected in the previous day in the database can be deleted, and the business data not collected in the previous day and the current day can be deleted. The business data to be collected is merged into one business data and stored in the database for business personnel to collect.
  • business data may include data information such as accounts, customers, debts, transaction information, addresses, telephone information, etc.
  • data information such as accounts, customers, debts, transaction information, addresses, telephone information, etc.
  • the time of the last business data collection is first obtained, and the obtained time of the last business data collection is compared with the current time to determine whether the current time conforms to the business data If the conditions for missing collection are met, the business data to be collected this time can be determined based on the time of the last business data collection and the current time, so as to collect the business data to be collected.
  • the data collection method proposed in this application compares the time of the last business data collection with the current time to determine whether there is any missing business data collected between the two time periods.
  • the business data corresponding to the current time and the last business data collection time is collected at one time, to avoid missing business data, and to avoid multiple collections by business personnel, which improves the efficiency of business data collection.
  • step S30 the method further includes:
  • Step S40 Obtain the data update record of the upstream system, and determine whether the business data in the data update record is consistent with the business data in the business data collection record table; if not, perform step S50;
  • upstream and downstream data can also be realized Monitoring, to prevent the situation that the upstream system data is not pushed to the downstream system in time after being updated.
  • the data update record of the upstream system is obtained, and the data update record includes the generated new business data or the updated data corresponding to the old business data, and the data is updated
  • the business data in the record should be all pushed to the downstream system for the business development of the downstream system. Therefore, by comparing the data update record of the upstream system with the business data collected by the downstream system to determine whether the two are consistent, you can determine the upstream Whether the system has the problem that the data push is not timely.
  • the obtained business data in the upstream system data update record and the business data collected by the downstream system may refer to all upstream business data and downstream business data before the current time, or may be Refers to data at both ends within a preset time period. In practical applications, it can refer to business data within a preset time period before the current time, such as 1 month or 100 days.
  • step S50 it is determined that there is a missed push of business data in the upstream system, and based on the business data in the data update record and the business data in the business data collection record table, the business data of the missed push is determined, so that the upstream system pushes the leak Pushed business data.
  • the obtained upstream business data and downstream business data are compared to determine whether there is a difference between the two. Specifically, it is to determine whether there is missing mining data in the downstream business data, that is, the data is only in the upstream business data , Not in downstream business data. For example, the update data of the upstream business data shows that a customer has a repayment transaction, but the downstream business data does not have the customer's repayment transaction data, which indicates that the downstream system has missing data. Then, the data in the upstream business data that is more than the downstream business data is used as the missing mining data, and is re-collected into the downstream business data to update the downstream business data and facilitate the development of the downstream business.
  • the downstream system by comparing the business data generated by the upstream system and the business data that the upstream system pushes to the downstream system and is collected by the downstream system, it is determined whether there is a business data leakage push in the upstream system, and the leakage push is determined Business data, so that the downstream system can collect the business data of the missed push and facilitate the development of downstream business.
  • embodiments of the present application also provide a data collection device.
  • FIG. 5 is a schematic diagram of functional modules of the first embodiment of the data collection device of the present application.
  • the data collection device includes:
  • the time obtaining module 10 is used to obtain the time of the last business data collection when the business data collection instruction is detected;
  • the time judging module 20 is used to compare the time of the last business data collection with the current time, and judge whether the current time meets the condition of missing business data collection;
  • the data collection module 30 is used to determine the business data to be collected based on the time of the last business data collection and the current time, and collect the business data to be collected.
  • the data collection device further includes:
  • a record table building module used to establish a business data collection record table, wherein the business data collection record table records the time of business data collection;
  • the time obtaining module 10 specifically includes:
  • the time query unit is used to obtain the business data collection record table when a business data collection instruction is detected, and query the last business data collection time based on the business data collection record table.
  • time judgment module 20 specifically includes:
  • a time difference judging unit configured to compare the time of the last service data collection with the current time, and determine whether the time difference between the time of the last service data collection and the current time is greater than one day;
  • the condition judging unit is configured to judge that the current time meets the condition of missing business data collection if the time difference between the time of the last business data collection and the current time is greater than one day.
  • the data collection module 30 specifically includes:
  • a business data determining unit configured to determine a time of missing business data collection based on the time of the last business data collection and the current time, and obtain the missing collection business data corresponding to the time of the business data missing collection;
  • the business data collection unit is used to determine the current business data corresponding to the current time, and collect the missing collection business data and the current business data.
  • the data collection device further includes:
  • the normal data collection unit is configured to determine the current business data corresponding to the current time and collect the current business data if the time difference between the time of the last business data collection and the current time is less than or equal to one day.
  • the data collection device further includes:
  • the business data comparison unit is used to obtain the data update record of the upstream system and determine whether the business data in the data update record is consistent with the business data in the business data collection record table;
  • the missed push data determination unit is used to determine if there is a missed push of business data in the upstream system if they are inconsistent, and determine the missed push service based on the business data in the data update record and the business data in the business data collection record table Data so that the upstream system pushes the missed push business data.
  • the data collection device further includes:
  • the business data distribution unit is used to distribute the missed collection business data and the current business data to different salesperson systems, so as to carry out corresponding business work.
  • each module in the above-mentioned data collection device corresponds to each step in the above-mentioned data collection method embodiment, and its function and implementation process will not be repeated here one by one.
  • the embodiments of the present application further provide a computer-readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.
  • the computer-readable storage medium of the present application stores computer-readable instructions, where the computer-readable instructions are executed by a processor to implement the steps of the data collection method as described above.
  • the method implemented when the computer-readable instructions are executed can refer to various embodiments of the data collection method of the present application, and details are not described herein again.
  • the time of the last business data collection is first obtained, and the obtained time of the last business data collection is compared with the current time to determine whether the current time is in line with the business If the conditions for data leakage collection are met, the business data to be collected this time can be determined based on the time of the last business data collection and the current time, so that the business data to be collected can be collected.
  • the data collection method proposed in this application compares the time of the last business data collection with the current time to determine whether there is any missing business data collected between the two time periods.
  • the business data corresponding to the current time and the last business data collection time is collected at one time, to avoid missing business data, and to avoid multiple collections by business personnel, which improves the efficiency of business data collection.
  • the methods in the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware, but in many cases the former is better Implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above , Disk, CD), including several instructions to make a terminal device (which can be a mobile phone, computer, server, air conditioner, or network equipment, etc.) to perform the method described in each embodiment of the present application.

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

La présente invention appartient au domaine technologique des mégadonnées, et porte sur un procédé de collecte de données, comprenant les étapes consistant à : lorsqu'une instruction de collecte de données de service est détectée, obtenir l'heure d'une dernière collecte de données de service ; comparer l'heure de la dernière collecte de données de service à une heure actuelle pour déterminer si l'heure actuelle satisfait une condition pour une collecte de données de service manquée ; si tel est le cas, déterminer des données de service à collecter sur la base de l'heure de la dernière collecte de données de service et de l'heure actuelle, et collecter les données de service à collecter. La présente invention porte également sur un dispositif et un équipement de collecte de données et sur un support de stockage lisible par ordinateur. Dans le procédé de collecte de données décrit dans la présente invention, lorsqu'il est déterminé qu'une collecte de données de service a été manquée, une collecte unique de données de service correspondant à la période de temps comprise entre l'heure actuelle et l'heure de la dernière collecte de données de service est effectuée pour éviter la collecte manquée de données de service et éviter également de multiples collectes par du personnel de service, améliorant ainsi l'efficacité de collecte de données de service.
PCT/CN2019/116739 2019-01-10 2019-11-08 Procédé de collecte de données, dispositif, équipement et support de stockage lisible par ordinateur WO2020143296A1 (fr)

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CN114500315A (zh) * 2021-12-31 2022-05-13 深圳云天励飞技术股份有限公司 设备状态监控方法、装置、计算机设备及存储介质

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