WO2020015067A1 - Procédé d'acquisition de données, dispositif, équipement et support de stockage - Google Patents

Procédé d'acquisition de données, dispositif, équipement et support de stockage Download PDF

Info

Publication number
WO2020015067A1
WO2020015067A1 PCT/CN2018/103791 CN2018103791W WO2020015067A1 WO 2020015067 A1 WO2020015067 A1 WO 2020015067A1 CN 2018103791 W CN2018103791 W CN 2018103791W WO 2020015067 A1 WO2020015067 A1 WO 2020015067A1
Authority
WO
WIPO (PCT)
Prior art keywords
target
collection
rule
field set
preset
Prior art date
Application number
PCT/CN2018/103791
Other languages
English (en)
Chinese (zh)
Inventor
白红丽
Original Assignee
平安科技（深圳）有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 平安科技（深圳）有限公司 filed Critical 平安科技（深圳）有限公司
Publication of WO2020015067A1 publication Critical patent/WO2020015067A1/fr

Links

Classifications

    • 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
    • G06F16/25—Integrating or interfacing systems involving database management systems

Definitions

  • the present application relates to the field of data processing, and in particular, to a data collection method, device, device, and computer-readable storage medium.
  • the main purpose of this application is to provide a data collection method, device, device, and computer-readable storage medium, which are aimed at solving the technical problems of wasting manpower and low efficiency of existing data collection technologies.
  • the present application provides a data collection method, and the data collection method includes the following steps:
  • Target field set with a preset collection library to determine whether there is a target collection rule matching the target field set in the preset collection library, wherein the target collection rule includes a related form identifier and data collection path;
  • the target collection rule exists in the preset collection library, determining a corresponding target form according to the related form identifier, and correlating the forms in the target form;
  • the data collection path obtain target data corresponding to the target field set in an association table of the target form, and store the target data in the collection destination table.
  • the target field set is matched with a preset collection library to determine whether a target collection rule matching the target field set exists in the preset collection library, wherein the target collection rule includes
  • the steps of corresponding association relationship and data collection path include:
  • the collection rule is the target collection rule.
  • the method further includes:
  • determining a corresponding target form according to the related form identifier, and correlating the forms in the target form include:
  • the target collection rule exists in the preset collection database, obtaining the number of rules of the target collection rule, and determining whether the number of rules is unique;
  • a corresponding target form is determined according to a related form identifier in the target collection rule, and the forms in the target form are associated.
  • the method further includes:
  • a selection instruction triggered by a user selection operation is received, and a target collection rule is determined in the pending collection rule list according to the selection instruction.
  • the method further includes:
  • the number of tables corresponding to each candidate collection rule is determined, and the candidate collection rule with the smallest number of tables is obtained as the target collection rule.
  • the target field set is matched with a preset collection library to determine whether a target collection rule matching the target field set exists in the preset collection library, wherein the target collection rule includes After the steps of identifying the relevant form and data collection path, it also includes:
  • the collection rule feedback from the preset processing end is used as the target collection rule, and the target field set and the target collection rule are correspondingly stored in the preset A collection library is set to update the preset collection library.
  • the present application further provides a data acquisition device, where the data acquisition device includes:
  • a form generating module configured to obtain a target field set in the business demand when a business demand is received, and generate a collection destination table according to the target field set;
  • a rule judgment module is configured to match the target field set with a preset collection library, and determine whether a target collection rule matching the target field set exists in the preset collection library, where the target collection rule includes Relevant form identification and data collection path;
  • a form association module configured to determine a corresponding target form according to the relevant form identifier if it is determined that the target collection rule exists in the preset collection library, and associate the forms in the target form;
  • a data collection module is configured to obtain target data corresponding to the target field set in an association table of the target form according to the data collection path, and store the target data in the collection destination table.
  • the present application further provides a data acquisition device, where the data acquisition device includes a processor, a memory, and computer-readable instructions stored on the memory and executable by the processor, where When the computer-readable instructions are executed by the processor, the steps of the data acquisition method as described above are implemented.
  • the present application further provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, To implement the steps of the data acquisition method described above.
  • This application provides a data collection method, that is, when a business demand is received, a target field set in the business demand is obtained, and a collection purpose table is generated according to the target field set; the target field set and a preset collection are collected
  • the database is matched to determine whether there is a target collection rule in the preset collection library that matches the target field set, wherein the target collection rule includes a related form identifier and a data collection path; if it is determined that the preset collection library If the target collection rule exists in the target form, the corresponding target form is determined according to the related form identifier, and the forms in the target form are associated; according to the data collection path, obtained in the association form of the target form
  • the target data corresponding to the target field set is stored in the collection target table.
  • FIG. 1 is a schematic diagram of a hardware structure of a data acquisition device involved in a solution according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a first embodiment of a data collection method of this application
  • FIG. 3 is a schematic flowchart of a second embodiment of a data collection method of this application.
  • FIG. 4 is a schematic flowchart of a third embodiment of a data collection method according to the present application.
  • FIG. 5 is a schematic diagram of the functional modules of the first embodiment of the data acquisition device of the present application.
  • the data acquisition method according to the embodiment of the present application is mainly applied to a data acquisition device, and the data acquisition device may be a device with display and processing functions such as a PC, a portable computer, and a mobile terminal.
  • FIG. 1 is a schematic diagram of a hardware structure of a data acquisition device involved in a solution according to an embodiment of the present application.
  • the data acquisition 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 and communication between these components.
  • the user interface 1003 may include a display and an input unit such as a keyboard.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface.
  • the memory 1005 can be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory, the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • FIG. 1 does not constitute a limitation on the data acquisition device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange different components.
  • the memory 1005 as a computer-readable storage medium in FIG. 1 may include an operating system, a network communication module, and computer-readable instructions.
  • the network communication module is mainly used to connect to a server and perform data communication with the server; and the processor 1001 can call computer-readable instructions stored in the memory 1005 and execute the data collection method provided in the embodiment of the present application.
  • An embodiment of the present application provides a data collection method.
  • FIG. 2 is a schematic flowchart of a first embodiment of a data collection method of the present application.
  • the data collection method includes the following steps:
  • Step S10 When receiving a business demand, obtaining a target field set in the business demand, and generating a collection destination table according to the target field set;
  • a data collection platform is established to record the user's collection requirements information (that is, the field information corresponding to the data to be collected).
  • the processor determines the corresponding field information according to the data to be collected, it analyzes each form information in the source database to determine the target form that can collect the field information.
  • the target data is preferably obtained from a form, or the number of form sources of the target data is minimized. Then obtain the form name or the address in the source database where the form is located as the data collection path. If target data needs to be obtained from multiple forms, the multiple forms are correlated, and a target collection rule is generated according to the data collection path and the corresponding association relationship.
  • the target field set corresponding to the target data and the target collection rule are correspondingly stored in a preset collection library.
  • the business requirement is parsed to obtain a target field set in the business requirement.
  • a corresponding collection destination table is generated according to the target field set, where the collection destination table user stores target data corresponding to the business requirements.
  • the target fields in the target field set are matched with the preset collection library to determine whether a target collection rule corresponding to the target field exists in the preset collection library.
  • Step S20 Match the target field set with a preset collection library to determine whether a target collection rule matching the target field set exists in the preset collection library, where the target collection rule includes a related form identifier And data collection paths;
  • a collection rule matching the target field set exists in the preset collection library, it means that the field collection that matches the target field set is stored in the preset collection library in advance.
  • the field set matching the target field set may be the same field set as the target field set, or may be a field set similar to the target field set.
  • the same field set as the target field set is: there is only one field that is the same as the field in the target field set, and the field names are the same.
  • a field set similar to the target field set is: there are and only fields equivalent to the fields in the target field set. Because the data fields may have multiple different names, each name corresponding to each field is stored in the preset collection library in advance. Equivalent fields are fields that have different names but correspond to the same field.
  • a collection rule corresponding to the field set matching the target field set is obtained in the preset collection library, and the collection rule is used as the target collection rule.
  • the target collection rule corresponding target data is collected in a corresponding association form, and the target data is stored in a target table. For example, when receiving the policy data acquisition requirement, the policy number, policy fee, policy date, insurer, policyholder, and compensation amount fields in the policy data acquisition requirement are parsed, and a target field set is generated according to the above fields.
  • Step S30 if it is determined that the target collection rule exists in the preset collection library, determine a corresponding target form according to the related form identifier, and associate the forms in the target form;
  • the target collection rule if the target collection rule exists in the preset collection library, the target collection rule is parsed to obtain a related form identifier and a data collection path in the target collection rule.
  • the related form identifier is a form identifier that needs to be called to collect the target field set corresponding to the business requirement, and the identifier may be a form name or form number.
  • determine the corresponding target form that is, include a list of all forms for which all target fields can be obtained, and associate each form in the target form for subsequent corresponding fields Acquisition of data.
  • the target form may store a form identifier or directly obtain a corresponding form for storage.
  • Step S40 According to the data collection path, obtain target data corresponding to the target field set in an association table of the target form, and store the target data in the collection destination table.
  • a data collection path is parsed in the target collection rule.
  • the data collection path is the storage address of the corresponding form identification table, the order of obtaining the fields in the target field set, or the process of obtaining the fields in the target field set.
  • the corresponding form can be located, and each field data in the target field set can be obtained according to the collection process in the data collection path.
  • the target data corresponding to the collected target field set is correspondingly stored in the collection purpose table according to the field format, and the collection purpose table is fed back to the corresponding user.
  • This embodiment provides a data collection method, that is, when a business demand is received, a target field set in the business demand is obtained, and a collection purpose table is generated according to the target field set; the target field set and a preset
  • the collection database is matched to determine whether there is a target collection rule in the preset collection library that matches the target field set, wherein the target collection rule includes a related form identifier and a data collection path; if it is determined that the preset collection If the target collection rule exists in the database, the corresponding target form is determined according to the related form identifier, and the tables in the target form are associated; according to the data collection path, in the associated form of the target form Acquiring target data corresponding to the target field set, and storing the target data in the collection destination table.
  • the present application realizes automatic collection of target data, saves manpower, improves collection efficiency, and solves the problems of wasting manpower and low efficiency of existing data collection technologies.
  • FIG. 3 is a schematic flowchart of a second embodiment of a data collection method of the present application.
  • the step S20 includes:
  • Step S21 Match each target field in the target field set with a preset field set in the preset collection library, and calculate a degree of matching between the target field set and the preset field set;
  • step S22 it is determined whether a target collection rule matching the target field set exists in the preset collection library according to the matching degree, and the matching degree with the target field set is not less than a preset preset value.
  • the collection rule corresponding to the field set is the target collection rule.
  • a matching degree corresponding to each preset field set in the preset collection library and a target field set corresponding to the service requirement is calculated.
  • the specific steps are: sequentially obtaining each preset field set in the preset collection library, and matching each target field in the target field set with each field in the preset field set, and a preset field set Is a matching unit. Obtain the number of matching fields of the target field set and each preset field set, and divide the number of matching fields by the number of fields in the target field set to obtain the target field set and each The matching degree of the preset field set.
  • Set a preset threshold that is, the matching degree threshold, such as 100%.
  • the target field set and the number of fields corresponding to the preset field set are further obtained.
  • the preset fields with the same number of fields as the target field set are preferentially obtained. The set is used as the corresponding field set, thereby increasing the accuracy of the target collection rule.
  • step S20 the method further includes:
  • a preset field set that has the highest degree of matching with the target field set can be obtained in the preset collection library, and the preset field set is set as a related field set.
  • the related field set has a collection rule similar to the target field set.
  • a collection rule corresponding to the related field set is obtained in the preset collection library as a related collection rule, and the related collection rule is pushed to the user.
  • the related field set may be a field set with most fields in the target field set.
  • FIG. 4 is a schematic flowchart of a third embodiment of a data collection method of the present application.
  • the step S30 includes:
  • Step S31 if the target collection rule exists in the preset collection database, obtain the number of rules of the target collection rule, and determine whether the number of rules is unique;
  • Step S32 if the number of rules is not unique, obtain a pending collection rule and a corresponding matching degree among the target collection rules;
  • Step S33 Sort the pending collection rules according to the matching degree to generate and display a corresponding list of pending collection rules
  • Step S34 Receive a selection instruction triggered by a user selection operation based on the pending collection rule list, and determine a target collection rule in the pending collection rule list according to the selection instruction.
  • step S30 further includes:
  • step S35 if the number of rules is unique, a corresponding target form is determined according to a related form identifier in the target collection rule, and the forms in the target form are associated.
  • the number of rules of the target collection rule is further obtained. Determine whether the number of rules of the target collection rule is unique. If the number of rules is not unique, it means that there are multiple collection rules in the preset collection library to obtain target data in the target field set.
  • the collection rules in the target collection rules that meet the requirements are sorted in descending order, and then further based on the sort A list of pending collection rules is generated corresponding to the pending collection rules, and displayed on the corresponding terminal, so that the user can select according to needs.
  • a collection rule identifier in the selection instruction is obtained, and the collection rule is set as a target collection rule according to the collection rule identifier. If the number of rules is unique, that is, the target collection rule is the only choice. According to the target collection rule, the corresponding related form identifier is determined, a target form is established, and each form in the target form is associated for subsequent follow-up. Data collection.
  • the method may further include:
  • the number of tables corresponding to each candidate collection rule is determined, and the candidate collection rule with the smallest number of tables is obtained as the target collection rule.
  • the target data is preferentially obtained from fewer tables, that is, when the number of rules is not unique, the target is obtained.
  • Each collection rule in the collection rule is used as a candidate collection rule.
  • the form identifier in each candidate collection rule is obtained, that is, one form identifier corresponds to one table, and the number of tables in the candidate collection rule can be determined by the form identifier.
  • the candidate collection rules can be sorted according to the size of the number of tables, such as from small to large, and the candidate collection rule with the smallest number of tables is selected as a target collection rule to improve data acquisition efficiency. .
  • the data collection method further includes:
  • the collection rule feedback from the preset processing end is used as the target collection rule, and the target field set and the target collection rule are correspondingly stored in the preset A collection library is set to update the preset collection library.
  • the preset collection library is based on the historical records of data collection, that is, to record the user's collection requirements, correspondingly written scripts, and corresponding collection field information, and then analyze, label, and classify the recorded data. Formed. Therefore, if there is no target collection rule corresponding to the target field set in the preset collection library, it means that no corresponding collection rule is stored in the data collection platform.
  • the target field set or the entire business requirement may be reported to a preset processing end, which is a processing end used by a corresponding technician to report the target field set to a corresponding processing system for manual writing Corresponding collection rules.
  • the data collection platform may report the related field set that has the highest degree of matching with the target field set and the corresponding related collection rule to the preset processing end for reference by the technician. Then, when receiving the collection rule feedback from the preset processing end, the feedback collection rule is used as the target collection rule, corresponding target data is collected according to the target collection rule, and the collection purpose table storing the target data is stored. Feedback to users. Then, the target field set and the collection rule feedback from the preset processing end are correspondingly stored in the preset collection library, thereby updating the stored data in the preset collection library.
  • an embodiment of the present application further provides a data acquisition device.
  • FIG. 5 is a schematic diagram of functional modules of a first embodiment of a data acquisition device of the present application.
  • the data acquisition device includes:
  • the form generating module 10 is configured to obtain a target field set in the business demand when a business demand is received, and generate a collection destination table according to the target field set;
  • a rule judgment module 20 is configured to match the target field set with a preset collection library, and determine whether a target collection rule matching the target field set exists in the preset collection library, wherein the target collection rule Including relevant form identification and data collection path;
  • a form association module 30 configured to determine a corresponding target form according to the related form identifier if it is determined that the target collection rule exists in the preset collection library, and associate the forms in the target form;
  • a data collection module 40 is configured to obtain target data corresponding to the target field set in an association table of the target form according to the data collection path, and store the target data in the collection destination table.
  • rule judgment module 20 specifically includes:
  • a matching degree calculation unit configured to match each target field in the target field set with a preset field set in the preset collection library, and calculate a match between the target field set and the preset field set degree;
  • a rule judging unit configured to determine, according to the matching degree, whether a target collection rule matching the target field set exists in the preset collection library, and the matching degree with the target field set is not less than a preset threshold
  • the collection rule corresponding to the preset field set is the target collection rule.
  • the data acquisition device further includes:
  • a field obtaining module configured to determine, if it is determined that the target collection rule does not exist in the preset collection library, a preset field set that has the highest degree of matching with the target field set as a related field set;
  • a rule pushing module is configured to obtain a collection rule corresponding to the related field set as a related collection rule, and push the related collection rule to a current terminal for reference by a user.
  • table association module 30 includes:
  • a number judging unit configured to, if the target collection rule exists in the preset collection database, obtain the number of rules of the target collection rule, and determine whether the number of rules is unique;
  • a first rule obtaining unit configured to obtain, if the number of rules is not unique, a pending collection rule in the target collection rule and a corresponding matching degree
  • a rule sorting unit configured to sort the pending collection rules according to the matching degree to generate and display a corresponding list of pending collection rules
  • a rule selection unit is configured to receive a selection instruction triggered by a user selection operation based on the pending collection rule list, and determine a target collection rule in the pending collection rule list according to the selection instruction.
  • a form determination unit is configured to determine a corresponding target form according to a related form identifier in the target collection rule if the number of rules is unique, and associate the forms in the target form.
  • the data acquisition device further includes:
  • a second rule obtaining unit configured to obtain each collection rule in the target collection rule as a candidate collection rule if the number of rules is not unique
  • a quantity determining unit is configured to determine the number of tables corresponding to each of the candidate collection rules according to the table identifier in the candidate collection rule, and obtain the candidate collection rule with the smallest number of tables as a target collection rule.
  • the data acquisition device further includes:
  • a reporting unit configured to report the target field set to a preset processing end if it is determined that the target collection rule does not exist in the preset collection library
  • An update unit is configured to: when receiving the collection rule feedback from the preset processing end, use the collection rule feedback from the preset processing end as a target collection rule, and associate the target field set with the target collection rule Store to the preset acquisition library to update the preset acquisition library.
  • Each module in the foregoing data acquisition device corresponds to each step in the foregoing embodiment of the data acquisition method, and its functions and implementation processes are not repeated here one by one.
  • an embodiment of the present application further provides a computer-readable storage medium.
  • the computer-readable storage medium of the present application stores computer-readable instructions, wherein the computer-readable storage medium may be a non-volatile readable storage medium, and when the computer-readable instructions are executed by a processor, the implementation is as described above. Steps of the data acquisition method.
  • the methods in the above embodiments can be implemented by means of software plus a necessary universal hardware platform, and of course, also by hardware, but in many cases the former is better.
  • Implementation Based on such an understanding, the technical solution of this application that is essentially or contributes to the existing technology can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium (such as ROM / RAM) as described above. , Magnetic disk, optical disc), including a number of instructions to enable a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in the embodiments of this application.

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé d'acquisition de données, un équipement et un support de stockage lisible par ordinateur. Le procédé consiste à : acquérir un ensemble de champs cibles dans une exigence de service lorsque l'exigence de service est reçue, et générer une table cible d'acquisition en fonction de l'ensemble de champs cibles (S10); mettre en correspondance l'ensemble de champs cibles avec une bibliothèque d'acquisitions prédéfinie, et déterminer si une règle d'acquisition cible correspondant à l'ensemble de champs cibles existe dans la bibliothèque d'acquisitions prédéfinie, la règle d'acquisition cible comprenant un identifiant de table associé et un chemin d'acquisition de données (S20); si la règle d'acquisition cible existe, déterminer un formulaire cible correspondant en fonction de l'identifiant de table associé, et associer les tables dans le formulaire cible (S30); acquérir des données cibles correspondant à l'ensemble de champs cibles dans une table d'association du formulaire cible en fonction du chemin d'acquisition de données, et stocker les données cibles dans la table cible d'acquisitions (S40). Le procédé permet d'acquérir automatiquement des données cibles, d'économiser en main d'oeuvre, et d'améliorer l'efficacité d'acquisition.
PCT/CN2018/103791 2018-07-19 2018-09-03 Procédé d'acquisition de données, dispositif, équipement et support de stockage WO2020015067A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810794561.1 2018-07-19
CN201810794561.1A CN110019486B (zh) 2018-07-19 2018-07-19 数据采集方法、装置、设备及存储介质

Publications (1)

Publication Number Publication Date
WO2020015067A1 true WO2020015067A1 (fr) 2020-01-23

Family

ID=67188353

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/103791 WO2020015067A1 (fr) 2018-07-19 2018-09-03 Procédé d'acquisition de données, dispositif, équipement et support de stockage

Country Status (2)

Country Link
CN (1) CN110019486B (fr)
WO (1) WO2020015067A1 (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111239523A (zh) * 2020-02-21 2020-06-05 江西三晶电气有限公司 一种变频器测试***、方法、装置和存储介质
CN111651466A (zh) * 2020-05-09 2020-09-11 杭州数梦工场科技有限公司 数据采样方法及装置
CN112100495A (zh) * 2020-09-14 2020-12-18 山东亿云信息技术有限公司 一种基于分布式的一站式采集方法及采集***
CN112487022A (zh) * 2020-11-30 2021-03-12 珠海格力电器股份有限公司 关联数据的采集方法、***、存储介质及电子设备
CN113407536A (zh) * 2021-06-10 2021-09-17 平安科技（深圳）有限公司 表数据的关联方法、装置、终端设备及介质
CN114661513A (zh) * 2022-04-18 2022-06-24 广州菩润信息科技有限公司 分布式多源数据的采集方法、***、设备及存储介质
CN116383205A (zh) * 2023-03-31 2023-07-04 佛山众陶联供应链服务有限公司 一种配置化读取采集数据的方法及装置
CN116415199A (zh) * 2023-04-13 2023-07-11 广东铭太信息科技有限公司 基于审计中间表的业务数据离群分析方法

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110399463A (zh) * 2019-07-29 2019-11-01 国网河北省电力有限公司 工作票的相似度匹配方法及装置
CN110502515B (zh) * 2019-08-15 2023-06-20 中国平安财产保险股份有限公司 数据采集方法、装置、设备及计算机可读存储介质
CN110502513A (zh) * 2019-08-15 2019-11-26 中国平安财产保险股份有限公司 数据采集方法、装置、设备及计算机可读存储介质
CN111191052B (zh) * 2019-12-24 2023-12-22 广州索答信息科技有限公司 一种数据采集方法、设备及介质
CN111667923B (zh) * 2020-06-05 2022-11-18 医渡云（北京）技术有限公司 数据匹配方法、装置、计算机可读介质及电子设备
CN111767703B (zh) * 2020-06-28 2024-04-30 浪潮通用软件有限公司 表单数据采集方法、装置和***
CN112653588A (zh) * 2020-07-10 2021-04-13 深圳市唯特视科技有限公司 自适应网络流量采集方法、***、电子设备及存储介质
CN112509653A (zh) * 2020-10-29 2021-03-16 望海康信(北京)科技股份公司 病案数据处理方法、***及相应设备和存储介质
CN113760891A (zh) * 2020-12-02 2021-12-07 北京沃东天骏信息技术有限公司 一种数据表的生成方法、装置、设备和存储介质
CN112597927A (zh) * 2020-12-28 2021-04-02 电子科技大学 二维表格识别方法、装置、设备及***
CN115277778B (zh) * 2022-07-29 2023-09-15 平安科技（深圳）有限公司 物联网***的配置方法及装置、电子设备、存储介质
CN117708131A (zh) * 2023-12-19 2024-03-15 河北网星软件有限公司 数据采集方法及数据采集平台

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040243576A1 (en) * 1998-12-07 2004-12-02 Oracle International Corporation System and method for querying data for implicit hierarchies
CN103150401A (zh) * 2013-03-27 2013-06-12 领航动力信息***有限公司 一种基于MapReduce的字段整体替换方法
CN103309886A (zh) * 2012-03-13 2013-09-18 阿里巴巴集团控股有限公司 一种基于交易平台的结构化信息搜索方法和装置
WO2017088683A1 (fr) * 2015-11-24 2017-06-01 阿里巴巴集团控股有限公司 Procédé et système de désensibilisation
CN107807977A (zh) * 2017-10-26 2018-03-16 河海大学 一种基于配置的对象属性元数据抽取***
CN108228740A (zh) * 2017-12-15 2018-06-29 国网青海省电力公司信息通信公司 电力全业务统一数据中心数据分析域数据比对工具

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150199378A1 (en) * 2012-06-29 2015-07-16 Nick Alex Lieven REYNTJEN Method and apparatus for realizing a dynamically typed file or object system enabling a user to perform calculations over the fields associated with the files or objects in the system
CN104537131B (zh) * 2014-12-04 2017-12-08 上海卫星装备研究所 一种面向卫星总装过程的数据采集方法
CN107330004A (zh) * 2017-06-12 2017-11-07 上海连源信息科技有限公司 一种基于url字符串的数据采集方法
CN107784113A (zh) * 2017-11-08 2018-03-09 深圳市科盾科技有限公司 Html网页数据采集方法、装置和计算机可读存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040243576A1 (en) * 1998-12-07 2004-12-02 Oracle International Corporation System and method for querying data for implicit hierarchies
CN103309886A (zh) * 2012-03-13 2013-09-18 阿里巴巴集团控股有限公司 一种基于交易平台的结构化信息搜索方法和装置
CN103150401A (zh) * 2013-03-27 2013-06-12 领航动力信息***有限公司 一种基于MapReduce的字段整体替换方法
WO2017088683A1 (fr) * 2015-11-24 2017-06-01 阿里巴巴集团控股有限公司 Procédé et système de désensibilisation
CN107807977A (zh) * 2017-10-26 2018-03-16 河海大学 一种基于配置的对象属性元数据抽取***
CN108228740A (zh) * 2017-12-15 2018-06-29 国网青海省电力公司信息通信公司 电力全业务统一数据中心数据分析域数据比对工具

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111239523A (zh) * 2020-02-21 2020-06-05 江西三晶电气有限公司 一种变频器测试***、方法、装置和存储介质
CN111651466A (zh) * 2020-05-09 2020-09-11 杭州数梦工场科技有限公司 数据采样方法及装置
CN111651466B (zh) * 2020-05-09 2023-07-25 杭州数梦工场科技有限公司 数据采样方法及装置
CN112100495B (zh) * 2020-09-14 2024-04-16 山东亿云信息技术有限公司 一种基于分布式的一站式采集方法及采集***
CN112100495A (zh) * 2020-09-14 2020-12-18 山东亿云信息技术有限公司 一种基于分布式的一站式采集方法及采集***
CN112487022A (zh) * 2020-11-30 2021-03-12 珠海格力电器股份有限公司 关联数据的采集方法、***、存储介质及电子设备
CN112487022B (zh) * 2020-11-30 2024-04-16 珠海格力电器股份有限公司 关联数据的采集方法、***、存储介质及电子设备
CN113407536A (zh) * 2021-06-10 2021-09-17 平安科技（深圳）有限公司 表数据的关联方法、装置、终端设备及介质
CN113407536B (zh) * 2021-06-10 2024-05-31 平安科技（深圳）有限公司 表数据的关联方法、装置、终端设备及介质
CN114661513A (zh) * 2022-04-18 2022-06-24 广州菩润信息科技有限公司 分布式多源数据的采集方法、***、设备及存储介质
CN114661513B (zh) * 2022-04-18 2024-01-23 广州菩润信息科技有限公司 分布式多源数据的采集方法、***、设备及存储介质
CN116383205A (zh) * 2023-03-31 2023-07-04 佛山众陶联供应链服务有限公司 一种配置化读取采集数据的方法及装置
CN116415199B (zh) * 2023-04-13 2023-10-20 广东铭太信息科技有限公司 基于审计中间表的业务数据离群分析方法
CN116415199A (zh) * 2023-04-13 2023-07-11 广东铭太信息科技有限公司 基于审计中间表的业务数据离群分析方法

Also Published As

Publication number Publication date
CN110019486A (zh) 2019-07-16
CN110019486B (zh) 2023-04-11

Similar Documents

Publication Publication Date Title
WO2020015067A1 (fr) Procédé d'acquisition de données, dispositif, équipement et support de stockage
WO2020087978A1 (fr) Procédé, appareil et dispositif de génération de modèle de vérification des contrôles des risques, et support d'informations
WO2020015064A1 (fr) Procédé de traitement de défaillance de système, appareil, dispositif et support d'informations
WO2020233077A1 (fr) Procédé, dispositif et appareil de surveillance de service de système et support d'informations
WO2020253112A1 (fr) Procédé d'acquisition de stratégie de test, dispositif, terminal et support de stockage lisible
WO2020147385A1 (fr) Procédé et appareil d'entrée de données, terminal et support d'informations lisible par ordinateur
WO2019037196A1 (fr) Procédé et dispositif d'attribution de tâche, et support d'informations lisible par ordinateur
WO2020119115A1 (fr) Procédé, dispositif, appareil de vérification de données, et support de stockage
WO2020087981A1 (fr) Procédé et appareil de génération de modèle d'audit de contrôle de risque, dispositif, et support de stockage lisible
WO2020258656A1 (fr) Procédé et appareil de génération de segment de code, support d'informations et dispositif informatique
WO2020000632A1 (fr) Procédé, appareil et dispositif d'émission de facture, et support d'informations lisible par ordinateur
WO2020062658A1 (fr) Procédé et appareil de génération de contrat, dispositif et support de stockage
WO2021003956A1 (fr) Procédé, appareil et dispositif de gestion d'informations de produit et support d'enregistrement
WO2021027143A1 (fr) Procédé, appareil et dispositif de poussée d'informations et support d'informations lisible par ordinateur
WO2020224246A1 (fr) Procédé et appareil de gestion de données fondée sur une chaîne de blocs, dispositif et support d'informations
WO2020186773A1 (fr) Procédé, dispositif et appareil de surveillance de demandes d'appel, et support d'informations
WO2020147264A1 (fr) Procédé, appareil et dispositif de surveillance de données de journal multisystème, support d'informations lisible
WO2020253135A1 (fr) Procédé et dispositif d'analyse automatique, équipement utilisateur et support de stockage
WO2021051558A1 (fr) Procédé et appareil de questions et réponses basées sur un graphe de connaissances et support de stockage
WO2020233089A1 (fr) Procédé et appareil de création de jeu de test, terminal et support de stockage lisible par ordinateur
WO2021012489A1 (fr) Procédé d'interrogation de journal de plateforme téléphonique, dispositif terminal, support de stockage et appareil
WO2010123168A1 (fr) Procédé et système de gestion de base de données
WO2015144012A1 (fr) Procédé pour réaliser une transaction de développement de logiciel et dispositif électronique
WO2020253115A1 (fr) Procédé, appareil et dispositif de recommandation de produit basés sur une reconnaissance vocale et support de stockage
WO2020119369A1 (fr) Procédé, appareil et dispositif de positionnement de défaut de fonctionnement et de maintenance informatique intelligent, et support de stockage lisible

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18926856

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18926856

Country of ref document: EP

Kind code of ref document: A1