WO2021077976A1 - 基于风电竞价用户的数据采集方法、装置、设备及介质 - Google Patents

基于风电竞价用户的数据采集方法、装置、设备及介质 Download PDF

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WO2021077976A1
WO2021077976A1 PCT/CN2020/117294 CN2020117294W WO2021077976A1 WO 2021077976 A1 WO2021077976 A1 WO 2021077976A1 CN 2020117294 W CN2020117294 W CN 2020117294W WO 2021077976 A1 WO2021077976 A1 WO 2021077976A1
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information
transaction
price
customer
volume
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French (fr)
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施昌荣
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华能大理风力发电有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/08—Auctions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Definitions

  • the invention relates to the technical field of wind power market bidding, in particular to a data collection method, device, equipment and medium based on wind power bidding users.
  • the present invention proposes a data collection method, device, equipment and medium based on wind power bidding users, which aims to solve the problem that the prior art cannot obtain data from power users, analyze the user data, and analyze the data based on the data of power users.
  • the establishment of information files has become a technical problem that needs to be solved urgently.
  • the present invention provides a data collection method based on wind power bidding users.
  • the data collection method based on wind power bidding users includes the following steps:
  • S1 Obtain a transaction screen, identify and obtain transaction information in the transaction screen, where the transaction information includes: transaction volume and price value information and corresponding customer information;
  • S3 Create a corresponding customer information document based on the customer's network information and the customer information in the transaction screen.
  • step S1 the transaction screen is acquired, and the transaction information in the transaction screen is identified and acquired.
  • the transaction information includes: transaction volume and price value information and corresponding customer information, and further includes the following steps ,
  • the transaction screen is intercepted, and the transaction information in the transaction screen is extracted through text.
  • the transaction information includes: transaction volume and price value information and corresponding customer information, and the transaction volume and price value information corresponds to the customer information in a one-to-one relationship.
  • step S2 a numerical threshold is set, the numerical threshold is compared with the transaction volume and price numerical information, and the transaction volume and price numerical information that satisfies the search is selected according to the comparison result, and It includes the following steps: setting a numerical threshold, comparing the trading volume and price numerical information with the numerical threshold, when the trading volume and price numerical information is greater than the numerical threshold, storing the trading volume and price numerical information as the information to be searched; when the trading volume and price When the numerical information is less than the numerical threshold, re-select the trading volume and price numerical information.
  • the transaction volume and price value information is stored as the information to be searched, and the following steps are further included:
  • the comparison is performed to filter out the transaction volume and price numerical information with the largest value, use the transaction volume and price value as the priority information to be searched, and mark the customer information corresponding to the transaction volume and price numerical value information.
  • each transaction volume and price value information pair by pair it is preferable to compare each transaction volume and price value information pair by pair, and filter out the transaction volume and price value information with the largest value, and use the transaction volume and price value as the priority information to be searched and the transaction volume Marking the customer information corresponding to the price value information also includes the following steps.
  • Different marking levels are set according to the different transaction volume and price values.
  • the marking levels include: first, second, and third levels, and the transaction volume and price are determined according to the marked level. The value is graded, and the customer information corresponding to the transaction volume and price value is marked.
  • the customer grabs network information from the network according to the customer information corresponding to the transaction volume and price value information, and further include the following steps to obtain the corresponding customer information according to the transaction volume and price value information, Extracting characteristic words from the customer information, the characteristic words including: name, age, and company, and grabbing corresponding network information from the Internet according to the characteristic words.
  • the network information is captured corresponding network information from the network according to the feature word, and further include the following steps: extract the feature word from the captured network information, and combine the extracted feature word with the characteristics of the customer information Words are compared.
  • the extracted characteristic words are the same as the characteristic words of the customer information, the network information is judged to be customer information; when the extracted characteristic words are different from the characteristic words of the customer information, the network information is re-grabbed.
  • the data collection device based on wind power bidding users includes:
  • the obtaining module is used to obtain the transaction screen, identify and obtain the transaction information in the transaction screen, the transaction information includes: transaction volume and price value information and corresponding customer information;
  • the capture module is used to set a numerical threshold, filter the trading volume and price numerical information according to the numerical threshold, and filter out the trading volume and price numerical information that meets the numerical threshold, and according to the customer information corresponding to the trading volume and price numerical information from the network Grab the customer’s network information;
  • the file creation module is used to create a corresponding customer information document based on the customer's network information and the customer information in the transaction screen.
  • the method for collecting data based on wind power bidding users further includes a device, the device comprising: a memory, a processor, and a wind power bidding user based on the storage and running on the processor
  • the data collection method program based on wind power bidding users is configured to implement the steps of the data collection method based on wind power bidding users as described above.
  • the data collection method based on wind power bidding users further includes a medium, the medium is a computer medium, and a data collection method program based on wind power bidding users is stored on the computer medium.
  • the program of the data collection method is executed by the processor, the steps of the data collection method based on wind power bidding users as described above are realized.
  • the data collection method based on wind power bidding users of the present invention has the following beneficial effects:
  • Web crawling of customer information through web crawler technology can obtain more customer information from the network, and then further filter customer information, and create customer information documents based on the filtered customer information. In this way, you can To obtain more comprehensive customer information, users can have an intuitive understanding of customers through documents.
  • FIG. 1 is a schematic diagram of a structure of a device in a hardware operating environment involved in a solution of an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of the first embodiment of the data collection method based on wind power bidding users according to the present invention
  • Fig. 3 is a schematic diagram of the functional modules of the first embodiment of the data collection method based on wind power bidding users according to the present invention.
  • the device may include a processor 1001, such as a central processing unit (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 screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface (for example, a wireless fidelity (WI-FI) interface).
  • WI-FI wireless fidelity
  • the memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory.
  • RAM Random Access Memory
  • NVM Non-Volatile Memory
  • the memory 1005 may also be a storage device independent of the aforementioned processor 1001.
  • FIG. 1 does not constitute a limitation on the device.
  • the device may include more or fewer components than those shown in the figure, or combine certain components, or different components. Layout.
  • the memory 1005 as a medium may include an operating system, a network communication module, a user interface module, and a data collection method program based on wind power bidding users.
  • the network interface 1004 is mainly used to establish a communication connection between the device and a server that stores all the data required in the system based on the data collection method of wind power bidding users; the user interface 1003 is mainly used to communicate with users.
  • the processor 1001 and the memory 1005 in the device based on the wind power bidding user data collection method of the present invention can be set in the wind power bidding user-based data collection method device, and the wind power bidding user-based data collection method device passes through the processor 1001 Call the data collection method program based on wind power bidding users stored in the memory 1005, and execute the data collection method based on wind power bidding users provided by the implementation of the present invention.
  • FIG. 2 is a schematic flowchart of the first embodiment of the data collection method based on wind power bidding users according to the present invention.
  • the data collection method based on wind power bidding users includes the following steps:
  • the system will recognize the intercepted screen and extract the information from it.
  • This information includes transaction volume and price value information and corresponding customer information. After extracting this information, the system The value information of the transaction volume and price will be stored together with the corresponding customer information for subsequent use.
  • S20 Set a numerical threshold, compare the numerical threshold with the transaction volume and price numerical information, filter out the transaction volume and price numerical information that satisfies the search based on the comparison result, and obtain the customer information from the network according to the transaction volume and price numerical information. Crawl the customer’s network information.
  • the system will set a numerical threshold.
  • the system will compare the extracted trading volume and price numerical information with the numerical threshold.
  • the trading volume and price numerical information is greater than In the case of a numerical threshold, it means that the value information of the transaction volume and price belongs to the transaction information of users with high electricity prices; when the value information of the transaction volume and price is less than the value threshold, re-select the value information of the transaction volume and price. In this way, users with high electricity prices can be directly screened out. , And mark these users in advance, and only analyze the information of these users, avoiding the need for the system to analyze a large amount of data and wasting a lot of system resources.
  • the system will set different marking levels according to the value of the transaction volume and price.
  • the marking levels include: level 1, level 2, and level 3.
  • the grading conditions of the mark level are set by the user. Through these levels, you can It is convenient for users to have a more intuitive experience of the value of customers, and the value of first-level customers is the highest.
  • each transaction volume and price value information will be compared in pairs, and the customer information corresponding to the largest transaction volume and price value will be screened out and marked as the priority analysis object.
  • the system will extract the characteristic words of the customer information, the characteristic words include: name, age and company, and then the system will find the corresponding information through these characteristic words, and extract the characteristic words of the found information, By comparing the characteristic words of the customer information on the transaction interface with the characteristic words of the customer information searched on the network, only when the characteristic words are the same, it means that the customer information searched on the network is consistent with the customer information on the transaction interface.
  • the searched customer information supplements the customer information on the transaction interface; when the feature words are not the same, the network information is crawled again.
  • Web crawlers also known as web spiders, web robots
  • Web crawlers are programs or scripts that automatically crawl information on the World Wide Web according to certain rules. Grab the target, and selectively visit web pages and related links on the World Wide Web to obtain the required information.
  • S30 Create a corresponding customer information document according to the customer's network information and the customer information in the transaction screen.
  • the customer information in the transaction screen will be combined with the customer information acquired on the network, and the customer information acquired through the network will supplement the customer information in the transaction screen, and Create a customer information document in turn, through this document, users can easily find and analyze customer information.
  • the transaction information includes: transaction volume and price value information and corresponding customer information; a value threshold is set, and the value is The threshold is compared with the value information of the transaction volume and price. According to the comparison result, the transaction volume and price value information that satisfies the search is selected, and the customer information corresponding to the transaction volume and price value information is captured from the network; according to the customer The network information and the customer information in the transaction screen create a corresponding customer information document.
  • the present invention intercepts the screen of the transaction interface and extracts information, determines the customer information that needs to be searched according to the information, and finally combines the searched customer information with the information extracted from the screenshot interface to create a customer information document. In this way, it is possible to establish customer models, screen out high-value customer groups, and analyze the customer groups.
  • the embodiment of the present invention also provides a data collection device based on wind power bidding users.
  • the data collection device based on wind power bidding users includes: an acquisition module 10, a capture module 20, and an archive creation module 30.
  • the obtaining module 10 is configured to obtain a transaction screen, identify and obtain transaction information in the transaction screen, the transaction information including: transaction volume and price value information and corresponding customer information;
  • the grabbing module 20 is used to set a numerical threshold, filter the transaction volume and price numerical information according to the numerical threshold, filter out the transaction volume and price numerical information that meets the numerical threshold, and obtain the customer information corresponding to the transaction volume and price numerical value
  • the network grabs the customer’s network information
  • the file establishment module 30 is used to establish a corresponding customer information document based on the customer's network information and the customer information in the transaction screen.
  • the embodiment of the present invention also provides a medium, the medium is a computer medium, the computer medium stores a data collection method program based on a wind power bidding user, and the data collection method program based on a wind power bidding user is processed by the processor.
  • the following operations are implemented during execution:
  • the transaction screen is intercepted, and the transaction information in the transaction screen is extracted through text.
  • the transaction information includes: transaction volume and price value information and corresponding customer information, and the transaction volume and price value information corresponds to the customer information in a one-to-one manner.
  • a numerical threshold compare the trading volume and price numerical information with the numerical threshold. When the trading volume and price numerical information is greater than the numerical threshold, store the trading volume and price numerical information as the information to be searched; when the trading volume and price numerical information is less than the numerical value When the threshold is set, re-select the trading volume and price value information.
  • the marking levels include: Level 1, Level 2 and Level 3. According to the marking level, the transaction volume and price values are graded and the customer information corresponding to the transaction volume and price value is set. Mark it.
  • Obtain corresponding customer information according to the transaction volume and price value information extract characteristic words from the customer information, the characteristic words including: name, age, and company, and grab corresponding network information from the network according to the characteristic words.
  • Extract the characteristic words from the captured network information compare the extracted characteristic words with the characteristic words of the customer information, when the extracted characteristic words are the same as the characteristic words of the customer information, determine that the network information is customer information; When the characteristic words are different from the characteristic words of the customer information, the network information is re-crawled.

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Abstract

一种基于风电竞价用户的数据采集方法、装置、设备及介质。所述方法包括：获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括交易量价信息以及对应的客户信息（S10）；设定数值阈值，将该数值阈值与交易量价数值信息进行比较，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息（S20）；根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档（S30）。通过对交易界面的画面进行截取并提取信息，根据信息来确定需要搜索的客户信息，最后将搜索到的客户信息与从截图界面提取到的信息组合在一起建立客户信息文档，通过这种方式，能够建立客户模型，筛选出具有高价值的客户群，并对客户群进行分析。

Description

基于风电竞价用户的数据采集方法、装置、设备及介质 技术领域
本发明涉及风电市场竞价技术领域，尤其涉及一种基于风电竞价用户的数据采集方法、装置、设备及介质。
背景技术
在现有的电力市场环境下，开展策略性竞价是市场参与者的重要决策之一，各市场参与者需要向电力交易中心策略报价以达到自身价值最大化的目的。在电力撮合交易中，科学合理的竞价行为可以有效提高市场活力，优化资源的配置。
在市场竞价的过程中，如果能够知道客户的信息，往往能够起到事半功倍的效果，但是，由于交易中心的数据无法被直接获取，所以，现有的竞价辅助系统很少对电力用户的信息进行分析，原因在于电力用户的数量过多，信息过于杂乱，竞价辅助系统无法抓住重点分析；电力用户的数据不容易获取，且获取需要消耗大量资源。所以，如何获取电力用户的数据，对用户数据进行分析，并根据电力用户的数据建立信息档案成为了一个亟待解决的问题。
上述内容仅用于辅助理解本发明的技术方案，并不代表承认上述内容是现有技术。
发明内容
有鉴于此，本发明提出了一种基于风电竞价用户的数据采集方法、装置、设备及介质，旨在解决现有技术无法获取电力用户的数据，对用户数据进行分析，并根据电力用户的数据建立信息档案成为了一个亟待解决的问题的技术问题。
本发明的技术方案是这样实现的：
一方面，本发明提供了一种基于风电竞价用户的数据采集方法，所述基于风电竞价用户的数据采集方法包括以下步骤：
S1，获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
S2，设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
S3，根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
在以上技术方案的基础上，优选的，步骤S1中，获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息，还包括以下步骤，截取交易画面，通过文字提取对交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息，交易量价数值信息与客户信息一一对应。
在以上技术方案的基础上，优选的，步骤S2中，设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，还包括以下步骤，设定数值阈值，将交易量价数值信息与数值阈值进行比较，当交易量价数值信息大于数值阈值时，将该交易量价数值信息作为待搜索信息进行存储；当交易量价数值信息小于数值阈值时，重新选择交易量价数值信息。
在以上技术方案的基础上，优选的，当交易量价数值信息大于数值阈值时，将该交易量价数值信息作为待搜索信息进行存储，还包括以下步骤，将各交易量价数值信息两两进行比较，筛选出数值最大的交易量价数值信息，将该交易量价数值作为优先待搜索信息并对该交易量价数值信息对应的客户信息进行标记。
在以上技术方案的基础上，优选的，将各交易量价数值信息两两进行比较，筛选出数值最大的交易量价数值信息，将该交易量价数值作为优先待搜索信息 并对该交易量价数值信息对应的客户信息进行标记，还包括以下步骤，根据交易量价数值的不同设定不同的标记等级，该标记等级包括：一级、二级以及三级，根据标记等级对交易量价数值进行分级，并对该交易量价数值对应的客户信息进行标记。
在以上技术方案的基础上，优选的，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息，还包括以下步骤，根据交易量价数值信息获取对应的客户信息，从该客户信息中提取特征词，所述特征词包括：姓名、年龄以及公司，根据该特征词从网络抓取对应的网络信息。
在以上技术方案的基础上，优选的，根据该特征词从网络抓取对应的网络信息，还包括以下步骤，从抓取的网络信息中提取特征词，将提取的特征词与客户信息的特征词进行比较，当提取的特征词与客户信息的特征词相同时，判定该网络信息为客户信息；当提取的特征词与客户信息的特征词不同时，重新抓取网络信息。
更进一步优选的，所述基于风电竞价用户的数据采集装置包括：
获取模块，用于获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
抓取模块，用于设定数值阈值，根据该数值阈值对交易量价数值信息进行筛选，筛选出满足数值阈值的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
档案建立模块，用于根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
第二方面，所述基于风电竞价用户的数据采集方法还包括一种设备，所述设备包括：存储器、处理器以及存储在所述存储器上并可在所述处理器上运行的基于风电竞价用户的数据采集方法程序，所述基于风电竞价用户的数据采集方法程序配置为实现如上文所述的基于风电竞价用户的数据采集方法的步骤。
第三方面，所述基于风电竞价用户的数据采集方法还包括一种介质，所述介质为计算机介质，所述计算机介质上存储有基于风电竞价用户的数据采集方 法程序，所述基于风电竞价用户的数据采集方法程序被处理器执行时实现如上文所述的基于风电竞价用户的数据采集方法的步骤。
本发明的一种基于风电竞价用户的数据采集方法相对于现有技术具有以下有益效果：
(1)通过对交易界面进行截取，然后从截取的交易界面中提取客户信息以及数值信息，根据数值信息筛选出高电价用户的数值信息，并根据该数值信息找到对应的客户信息，通过这种方式，可以直接筛选出具有高价值的用户，避免了系统需要分析的数据过多，分析数据要占用大量资源的情况；
(2)通过网络爬虫技术对客户信息进行网络爬取，可以从网络中获取更多客户的信息，然后对客户信息进一步筛选，根据筛选后的客户信息建立客户信息文档，通过这种方式，可以获得较为全面的客户信息，用户可以通过文档对客户有一个直观的了解。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例方案涉及的硬件运行环境的设备的结构示意图；
图2为本发明基于风电竞价用户的数据采集方法第一实施例的流程示意图；
图3为本发明基于风电竞价用户的数据采集方法第一实施例的功能模块示意图。
具体实施方式
下面将结合本发明实施方式，对本发明实施方式中的技术方案进行清楚、完整地描述，显然，所描述的实施方式仅仅是本发明一部分实施方式，而不是全部的实施方式。基于本发明中的实施方式，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施方式，都属于本发明保护的范围。
如图1所示，该设备可以包括：处理器1001，例如中央处理器(Central Processing Unit，CPU)，通信总线1002、用户接口1003，网络接口1004，存储器1005。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏(Display)、输入单元比如键盘(Keyboard)，可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口(如无线保真(WIreless-FIdelity，WI-FI)接口)。存储器1005可以是高速的随机存取存储器(Random Access Memory，RAM)存储器，也可以是稳定的非易失性存储器(Non-Volatile Memory，NVM)，例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
本领域技术人员可以理解，图1中示出的结构并不构成对设备的限定，在实际应用中设备可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及基于风电竞价用户的数据采集方法程序。
在图1所示的设备中，网络接口1004主要用于建立设备与存储基于风电竞价用户的数据采集方法系统中所需的所有数据的服务器的通信连接；用户接口1003主要用于与用户进行数据交互；本发明基于风电竞价用户的数据采集方法设备中的处理器1001、存储器1005可以设置在基于风电竞价用户的数据采集方法设备中，所述基于风电竞价用户的数据采集方法设备通过处理器1001调用存储器1005中存储的基于风电竞价用户的数据采集方法程序，并执行本发明实施提供的基于风电竞价用户的数据采集方法。
结合图2，图2为本发明基于风电竞价用户的数据采集方法第一实施例的流程示意图。
本实施例中，所述基于风电竞价用户的数据采集方法包括以下步骤：
S10：获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息。
应当理解的是，因为无法从交易中心的后台直接获取客户数据，所以，只 能通过对客户交易界面进行文字提取来获取用户信息，本实施例中，从网上查找了一套模拟人工点击行为的程序，通过对交易软件点击顺序的设置，来自动获取交易界面，当出现交易界面时，系统会自动对交易界面进行截图，并将截取的图片放入存储库中，通过这种方式，避免了人工对软件进行操作，节省了人工成本，同时也提高了工作效率。
应当理解的是，在截取到交易画面之后，系统会对截取到的画面进行识别，并提取其中的信息，这些信息包括交易量价数值信息以及对应的客户信息，在提取到这些信息之后，系统会将交易量价数值信息与其对应的客户信息存放在一起，便于后续使用。
S20：设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息。
应当理解的是，系统会设定一个数值阈值，当从交易界面提取到交易量价数值信息时，系统会将提取到的交易量价数值信息与数值阈值进行比较，当交易量价数值信息大于数值阈值时，表示该当交易量价数值信息属于高电价用户的交易信息；当交易量价数值信息小于数值阈值时，重新选择交易量价数值信息，通过这种方式，可以直接筛选出高电价用户，并将这些用户提前进行标记，只对这些用户的信息进行分析，避免了系统需要对大量数据进行分析，浪费大量系统资源。
应当理解的是，系统会根据交易量价数值的不同来设定不同的标记等级，标记等级包括：一级、二级以及三级，标记等级的分级条件由用户设定，通过这些分级，可以方便用户对客户的价值有一个更加直观的体验，一级客户的价值最高。
应当理解的是，当系统中存在多个交易量价数值信息时，会将各交易量价数值信息两两进行比较，先是筛选出最大交易量价数值对应的客户信息，标记为优先分析对象。
应当理解的是，在找到交易量价数值信息对应的客户信息后，因为交易界 面的客户信息比较少，如果要建立客户信息档案，只依靠交易界面的客户信息明显是不够的，所以需要通过网络爬取获取对应的信息，系统会提取客户信息的特征词，所述特征词包括：姓名、年龄以及公司，然后系统会通过这些特征词查找对应的信息，并提取查找到的信息的特征词，通过将交易界面的客户信息的特征词与网络查找的客户信息的特征词进行比对，只有当特征词都相同时，表示网络查找的客户信息与交易界面的客户信息是相符的，可以通过网络查找的客户信息对交易界面的客户信息进行补充；当特征词不相同时，则重新进行网络信息的爬取。
应当理解的是，爬取是基于网络爬虫实现的，网络爬虫(又称为网页蜘蛛，网络机器人)，是一种按照一定的规则，自动地抓取万维网信息的程序或者脚本，它根据既定的抓取目标，有选择的访问万维网上的网页与相关的链接，获取所需要的信息。
S30：根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
应当理解的是，在对网络获取到的客户进行筛选之后，会将交易画面中的客户信息与网络获取的客户信息进行组合，通过网络获取的客户信息对交易画面中的客户信息进行补充，并依次建立一个客户信息文档，通过这个文档，用户可以很方便对客户各项信息进行查找与分析。
需要说明的是，以上仅为举例说明，并不对本申请的技术方案构成任何限定。
通过上述描述不难发现，本实施例通过获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。本发明通过对交易界面的画面进行截取并提取信息，根据信息来确定需要搜索的客户信息，最后将搜索到的客户信息与从截图界面提取到的信息组合在一起建立客户信息文档，通过这种方式，能够 建立客户模型，筛选出具有高价值的客户群，并对客户群进行分析。
此外，本发明实施例还提出一种基于风电竞价用户的数据采集装置。如图3所示，该基于风电竞价用户的数据采集装置包括：获取模块10、抓取模块20、档案建立模块30。
获取模块10，用于获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
抓取模块20，用于设定数值阈值，根据该数值阈值对交易量价数值信息进行筛选，筛选出满足数值阈值的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
档案建立模块30，用于根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
此外，需要说明的是，以上所描述的装置实施例仅仅是示意性的，并不对本发明的保护范围构成限定，在实际应用中，本领域的技术人员可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的，此处不做限制。
另外，未在本实施例中详尽描述的技术细节，可参见本发明任意实施例所提供的基于风电竞价用户的数据采集方法，此处不再赘述。
此外，本发明实施例还提出一种介质，所述介质为计算机介质，所述计算机介质上存储有基于风电竞价用户的数据采集方法程序，所述基于风电竞价用户的数据采集方法程序被处理器执行时实现如下操作：
S1，获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
S2，设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
S3，根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息 文档。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
截取交易画面，通过文字提取对交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息，交易量价数值信息与客户信息一一对应。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
设定数值阈值，将交易量价数值信息与数值阈值进行比较，当交易量价数值信息大于数值阈值时，将该交易量价数值信息作为待搜索信息进行存储；当交易量价数值信息小于数值阈值时，重新选择交易量价数值信息。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
将各交易量价数值信息两两进行比较，筛选出数值最大的交易量价数值信息，将该交易量价数值作为优先待搜索信息并对该交易量价数值信息对应的客户信息进行标记。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
根据交易量价数值的不同设定不同的标记等级，该标记等级包括：一级、二级以及三级，根据标记等级对交易量价数值进行分级，并对该交易量价数值对应的客户信息进行标记。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
根据交易量价数值信息获取对应的客户信息，从该客户信息中提取特征词，所述特征词包括：姓名、年龄以及公司，根据该特征词从网络抓取对应的网络信息。
进一步地，所述基于风电竞价用户的数据采集方法程序被处理器执行时还实现如下操作：
从抓取的网络信息中提取特征词，将提取的特征词与客户信息的特征词进行比较，当提取的特征词与客户信息的特征词相同时，判定该网络信息为客户信息；当提取的特征词与客户信息的特征词不同时，重新抓取网络信息。
以上所述仅为本发明的较佳实施方式而已，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种基于风电竞价用户的数据采集方法，其特征在于：包括以下步骤；
    S1，获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
    S2，设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
    S3，根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
  2. 如权利要求1所述的基于风电竞价用户的数据采集方法，其特征在于：步骤S1中，获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息，还包括以下步骤，截取交易画面，通过文字提取对交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息，交易量价数值信息与客户信息一一对应。
  3. 如权利要求1所述的基于风电竞价用户的数据采集方法，其特征在于：步骤S2中，设定数值阈值，将该数值阈值与交易量价数值信息进行比较，根据比较结果，筛选出满足待搜索的交易量价数值信息，还包括以下步骤，设定数值阈值，将交易量价数值信息与数值阈值进行比较，当交易量价数值信息大于数值阈值时，将该交易量价数值信息作为待搜索信息进行存储；当交易量价数值信息小于数值阈值时，重新选择交易量价数值信息。
  4. 如权利要求3所述的基于风电竞价用户的数据采集方法，其特征在于：当交易量价数值信息大于数值阈值时，将该交易量价数值信息作为待搜索信息进行存储，还包括以下步骤，将各交易量价数值信息两两进行比较，筛选出数值最大的交易量价数值信息，将该交易量价数值作为优先待搜索信息并对该交易量价数值信息对应的客户信息进行标记。
  5. 如权利要求4所述的基于风电竞价用户的数据采集方法，其特征在于：将各交易量价数值信息两两进行比较，筛选出数值最大的交易量价数值信息，将该交易量价数值作为优先待搜索信息并对该交易量价数值信息对应的客户信 息进行标记，还包括以下步骤，根据交易量价数值的不同设定不同的标记等级，该标记等级包括：一级、二级以及三级，根据标记等级对交易量价数值进行分级，并对该交易量价数值对应的客户信息进行标记。
  6. 如权利要求4所述的基于风电竞价用户的数据采集方法，其特征在于：并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息，还包括以下步骤，根据交易量价数值信息获取对应的客户信息，从该客户信息中提取特征词，所述特征词包括：姓名、年龄以及公司，根据该特征词从网络抓取对应的网络信息。
  7. 如权利要求6所述的基于风电竞价用户的数据采集方法，其特征在于：根据该特征词从网络抓取对应的网络信息，还包括以下步骤，从抓取的网络信息中提取特征词，将提取的特征词与客户信息的特征词进行比较，当提取的特征词与客户信息的特征词相同时，判定该网络信息为客户信息；当提取的特征词与客户信息的特征词不同时，重新抓取网络信息。
  8. 一种基于风电竞价用户的数据采集装置，其特征在于，所述基于风电竞价用户的数据采集装置包括：
    获取模块，用于获取交易画面，识别并获取交易画面中的交易信息，所述交易信息包括：交易量价数值信息以及对应的客户信息；
    抓取模块，用于设定数值阈值，根据该数值阈值对交易量价数值信息进行筛选，筛选出满足数值阈值的交易量价数值信息，并根据该交易量价数值信息对应的客户信息从网络抓取该客户的网络信息；
    档案建立模块，用于根据客户的网络信息以及交易画面中的客户信息建立对应的客户信息文档。
  9. 一种设备，其特征在于，所述设备包括：存储器、处理器以及存储在所述存储器上并可在所述处理器上运行的基于风电竞价用户的数据采集方法程序，所述基于风电竞价用户的数据采集方法程序配置为实现如权利要求1至7任一项所述的基于风电竞价用户的数据采集方法的步骤。
  10. 一种介质，其特征在于，所述介质为计算机介质，所述计算机介质上存 储有基于风电竞价用户的数据采集方法程序，所述基于风电竞价用户的数据采集方法程序被处理器执行时实现如权利要求1至7任一项所述的基于风电竞价用户的数据采集方法的步骤。
PCT/CN2020/117294 2019-10-23 2020-09-24 基于风电竞价用户的数据采集方法、装置、设备及介质 WO2021077976A1 (zh)

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