WO2023015846A1 - 适用于并行链路的控制对象识别方法、装置、设备及介质 - Google Patents

适用于并行链路的控制对象识别方法、装置、设备及介质 Download PDF

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WO2023015846A1
WO2023015846A1 PCT/CN2022/072375 CN2022072375W WO2023015846A1 WO 2023015846 A1 WO2023015846 A1 WO 2023015846A1 CN 2022072375 W CN2022072375 W CN 2022072375W WO 2023015846 A1 WO2023015846 A1 WO 2023015846A1
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shareholding
target
control
ratio
shareholder
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PCT/CN2022/072375
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English (en)
French (fr)
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庞宇嘉
彭琛
汪伟
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平安科技(深圳)有限公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9024Graphs; Linked lists
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present application relates to the technical field of artificial intelligence, in particular to a control object recognition method, device, equipment and medium suitable for parallel links.
  • the traditional control object identification method based on graph technology is as follows: first construct the enterprise association network, and then traverse the enterprise association network through the association relations such as shareholding, executives, and executive partners of the given enterprise, and search for all Objects, and finally calculate the control ratio of each object, and judge the final control object according to the control ratio and path dependence of each object.
  • enterprise A, enterprise B, and enterprise C are shareholders of target enterprise T, and the shareholding ratios are: 40%, 35%, and 25% respectively.
  • Enterprise D is the controlling shareholder of enterprise B and enterprise C. Therefore, enterprise D and the target enterprise There are two parallel links between T to achieve decentralized control of the target enterprise T.
  • enterprise A is the nominal controlling shareholder identification, but in fact it does not have a controlling right.
  • Enterprise D is the shareholding control object of enterprise T , the traditional control object identification method will identify enterprise A as the shareholding control object of enterprise T, which is inconsistent with the actual situation, resulting in the inability to accurately identify the ultimate control object.
  • the main purpose of this application is to provide a control object identification method, device, equipment and medium suitable for parallel links, aiming to solve the control object identification method based on graph technology, in the application scenario of decentralized holding of multiple parallel links There will be deviations, the final control ratio cannot be accurately defined, and the technical problems of the final control object cannot be judged.
  • this application proposes a control object identification method suitable for parallel links, the method comprising:
  • the controlling shareholder identification is determined for the target enterprise identification, and the real controlling shareholder identification is obtained;
  • the identification of the control object of the target enterprise is carried out to obtain the target control object.
  • the present application also proposes a control object identification device suitable for parallel links, the device includes:
  • a data acquisition module configured to acquire the target enterprise identifier and the direct shareholder list corresponding to the target enterprise identifier, a set of shareholding links and a set of tenure links, wherein the set of shareholding links includes parallel links;
  • the real controlling shareholder identification determination module is configured to use the controlling shareholder iterative algorithm to determine the controlling shareholder identification for the target enterprise identification according to the set of shareholding links, so as to obtain the real controlling shareholder identification;
  • a direct shareholder list updating module configured to update the direct shareholder list according to the real controlling shareholder identification
  • the target control object determination module is used to identify the control object of the target enterprise logo according to the shareholding link set, the appointment link set and the direct shareholder list, and obtain the target control object.
  • the present application also proposes a computer device, including a memory and a processor, the memory stores a computer program, and the processor implements the following method steps when executing the computer program:
  • the controlling shareholder identification is determined for the target enterprise identification, and the real controlling shareholder identification is obtained;
  • the identification of the control object of the target enterprise is carried out to obtain the target control object.
  • the present application also proposes a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following method steps are implemented:
  • the controlling shareholder identification is determined for the target enterprise identification, and the real controlling shareholder identification is obtained;
  • the identification of the control object of the target enterprise is carried out to obtain the target control object.
  • the control object identification method, device, equipment, and medium applicable to parallel links of the present application wherein the method first obtains the target company ID and the list of direct shareholders corresponding to the target company ID, the set of shareholding links and the set of service links , wherein, the set of shareholding links includes parallel links, and then using the controlling shareholder iterative algorithm, according to the set of shareholding links, the identity of the controlling shareholder is determined for the identity of the target enterprise to obtain the identity of the real controlling shareholder, Update the direct shareholder list according to the real controlling shareholder identification, and finally identify the control object of the target enterprise identification according to the shareholding link set, the appointment link set and the direct shareholder list, and obtain the target
  • the control object is identified through the iterative algorithm of the controlling shareholder, which effectively solves the problems caused by the traditional decentralized holding of multiple parallel links, and improves the accuracy of the final control object judgment;
  • the set of shareholding links, the set of appointment links and the list of direct shareholders identify the control object of the target enterprise logo, thereby taking into account the hold link and further improving the accuracy
  • FIG. 1 is a schematic flowchart of a control object identification method applicable to parallel links according to an embodiment of the present application
  • FIG. 2 is a schematic block diagram of a control object identification device applicable to parallel links according to an embodiment of the present application
  • FIG. 3 is a schematic block diagram of a computer device according to an embodiment of the present application.
  • an embodiment of the present application provides a control object identification method suitable for parallel links, the method includes:
  • S1 Obtain the target company ID and the list of direct shareholders corresponding to the target company ID, a set of shareholding links and a set of service links, wherein the set of shareholding links includes parallel links;
  • the holding Shareholder iterative algorithm determines the identity of the controlling shareholder for the target enterprise identity, obtain the identity of the real controlling shareholder, update the list of direct shareholders according to the identity of the real controlling shareholder, and finally share link set, the appointment link set, and the direct shareholder list, identify the control object of the target enterprise logo, obtain the target control object, and identify the shareholding control object through the controlling shareholder iterative algorithm, effectively processing It solves the problems caused by the traditional decentralized holding of multiple parallel links, and improves the accuracy of the judgment of the final control object; Identify the control object based on the identification of the above-mentioned target enterprise, thus taking into account the employment link and further improving the accuracy of the final control object judgment.
  • the target enterprise ID input by the user and the direct shareholder list corresponding to the target enterprise ID, the set of shareholding links and the set of employment links can be obtained, or the target enterprise ID corresponding to the target enterprise ID can be obtained from the database.
  • the list of direct shareholders, the set of shareholding links and the set of appointment links can also be obtained from the third-party application system. .
  • the target enterprise identity is the enterprise identity that needs to identify the control object.
  • An enterprise identifier can be data that uniquely identifies an enterprise, such as enterprise name, enterprise abbreviation, and enterprise ID.
  • the direct shareholder list is a list of shareholders directly holding shares of the enterprise corresponding to the target enterprise identifier.
  • the list of direct shareholders includes: ranking, object identification and shareholding ratio, and the shareholding proportion is the proportion of direct shareholding in the enterprise corresponding to the target enterprise identification. It can be understood that the object identifiers in the direct shareholder list are arranged in reverse order according to the shareholding ratio.
  • the shareholding link set includes: one or more shareholding links.
  • the shareholding link includes one or more nodes, and the nodes include: an object identifier and a shareholding ratio.
  • the nodes in the shareholding link are connected in series.
  • the shareholding ratio of the i-th node in the shareholding link is the object identifier of the i-th node in the shareholding link to the i-1th node in the shareholding link
  • the object identifies the stake.
  • the object identifier may be data that uniquely identifies an object, such as an object name and an object ID.
  • the objects include: one or more of natural persons, enterprises, and institutions. Agencies include, but are not limited to: government agencies.
  • the employment link set is a collection of senior executives who work in various enterprises and/or institutions in the object collection.
  • the set of appointment links includes: object identifiers, executive identifiers, and job titles, that is to say, the object identifiers in the set of appointment links correspond to enterprises or institutions.
  • the executive identifier may be the data that uniquely identifies an executive employee such as executive name and executive ID.
  • the job titles mentioned include but are not limited to: chairman, general manager, legal representative, director, supervisor.
  • the steps of the target company ID and the direct shareholder list corresponding to the target company ID, the set of shareholding links and the set of service links include: obtaining an object-associated knowledge map corresponding to the target company ID; using The depth-first search algorithm, according to the object-associated knowledge map, respectively performs direct shareholder list identification, shareholding link set identification, and employment link set identification on the target enterprise identification, and obtains the direct shareholder identification corresponding to the target enterprise identification.
  • the depth-first search algorithm is a kind of graph algorithm, which is a traversal algorithm for graphs and trees.
  • the English abbreviation is DFS, and the English name is Depth First Search.
  • each node of each shareholding link in the set of shareholding links is queried separately, firstly, according to the shareholding ratio of the newly found node to the target enterprise identifier, an object and shareholding mapping table is constructed, Then update the control and controlled mapping table according to the newly found nodes, and finally determine the control object of each node according to the control and controlled mapping table, and update the object according to the shareholding ratio of the control object of each node to the target enterprise logo and the shareholding mapping table; after completing the node traversal search processing of the shareholding link set, the real controlling shareholder ID is determined according to the object and shareholding mapping table, thereby realizing the controlling shareholder ID determination using the controlling shareholder iterative algorithm.
  • the control and controlled mapping table includes: a control object identifier and a controlled object identifier, and the control object identifier is a shareholding control object identified by the controlled object.
  • the control object identifier is also an object identifier.
  • the controlled object identifier is also an object identifier.
  • the object and shareholding mapping table includes: object identifier and shareholding ratio.
  • the shareholders G1, G2, and G3 of the enterprise corresponding to the target enterprise ID hold 40%, 30%, and 20% of the shares respectively, and are ranked 1, 2, and 3 respectively. If the actual shareholding ratio is 50%, the shareholder G1 is the ID of the nominal controlling shareholder, and the object ID D1 is the ID of the real controlling shareholder, and the rankings of the shareholders G1, G2, and G3 are adjusted to 2, 3, and 4, thus realizing the realization of all
  • the corresponding rankings of all direct shareholders in the list of direct shareholders mentioned above will be shifted backward by one, and this example is not specifically limited.
  • the controlling shareholder's iterative algorithm is used above, and according to the set of shareholding links, the controlling shareholder's identification is determined for the target enterprise identification, and the step of obtaining the real controlling shareholder's identification includes:
  • S28 Determine the ID of the controlling shareholder according to the object and shareholding mapping table, and obtain the ID of the real controlling shareholder.
  • This embodiment uses the iterative algorithm of the controlling shareholder to identify the shareholding control object, which effectively solves the problems caused by the traditional decentralized holding of multiple parallel links, and improves the accuracy of the final control object judgment.
  • control-controlled mapping table and the object-holding mapping table input by the user can be obtained, or the controlling-controlled mapping table and the object-holding mapping table can be obtained from the database, and can also be obtained from a third-party application system Obtain the controlling and controlled mapping table and the object and shareholding mapping table.
  • control and controlled mapping table and object and shareholding mapping table obtained in this step are data tables with empty data.
  • a counter is created as a search counter, and the search counter is initialized to 2, so that the second node of the shareholding link can be processed first when realizing the search for each shareholding link.
  • search counter when the search counter is 4, use the target enterprise identifier as the starting node, and search for the node corresponding to the search counter from the target shareholding link, that is, search for the node corresponding to the target shareholding link.
  • the 4th node when the search counter is 4, use the target enterprise identifier as the starting node, and search for the node corresponding to the search counter from the target shareholding link, that is, search for the node corresponding to the target shareholding link.
  • the table determines the control object of the target object identifier, updates the object and shareholding mapping table according to the shareholding ratio of the target enterprise identifier by the control object of the target object identifier, and generates a single node completion signal when the update is completed.
  • Steps S24 to S26 are executed until the node search result is failure.
  • the result of the node search being failure means that all nodes in the target shareholding link have completed the calculation.
  • step S27 when the node search result is failure, repeat step S22 to step S27 until the acquisition of the shareholding link in the shareholding link set is completed, so that the shareholding link set All nodes in all the stake chains have completed the calculation.
  • the target object identifier and the target enterprise identifier, the control and controlled mapping table and the object and shareholding mapping table are updated to obtain
  • the steps for a single node to complete the signal include:
  • S251 Obtain the shareholding ratio of the target object identifier to the target enterprise identifier according to the target shareholding link, and obtain the shareholding ratio to be updated;
  • S258 Determine whether the node control object identifier exists in the object and shareholding mapping table
  • S259 Obtain the shareholding ratio of the node control object identifier to the target enterprise identifier according to the target shareholding link, and obtain the shareholding ratio of the node control object;
  • an object and shareholding mapping table is constructed, and then the control and controlled mapping table is updated according to the target object identifier, and finally according to the control and controlled
  • the mapping table determines the control object identified by the target object, updates the object and the shareholding mapping table according to the shareholding ratio of the control object identified by the target object to the target enterprise identifier, and generates a single-node completion signal when the update is completed, thereby realizing The calculation of the controlling shareholder iterative algorithm is carried out.
  • the shareholding ratio of object G1 to the target object identifier is 40%, and the shareholding ratio of object G2 to object G1 is 30%.
  • the method that is, the value 12% of 40% ⁇ 30% is used as the shareholding ratio of the object G2 to the target object identifier, which is not specifically limited in this example.
  • the target object identifier when the target object identifier exists in the object and shareholding mapping table, it means that the target object identifier has been calculated for the shareholding ratio of the holding iteration in other nodes, and the target object identifier is in the Look up in the object and shareholding mapping table, and use the shareholding ratio corresponding to the object identifier found in the object and shareholding mapping table as the first shareholding ratio; set the shareholding ratio to be updated and The first shareholding ratio is added, and the data obtained by the addition is used as the first shareholding ratio to be stored; the first shareholding ratio in the shareholding ratio to be updated is replaced by the second A shareholding ratio to be stored, so that the first shareholding ratio is added to the object and shareholding mapping table.
  • the target object identifier when the target object identifier does not exist in the object and shareholding mapping table, it means that the target object identifier has not been calculated for the shareholding ratio of the holding iteration, so the target object identifier and the The shareholding ratio to be updated is used as associated data, and the associated data is added to the object and shareholding mapping table, that is, the target object identifier is added to the object identifier of the object and shareholding mapping table, and all The shareholding ratio to be updated is added to the shareholding ratio in the object and shareholding mapping table.
  • the target object identifier when the target object identifier does not exist in the controlled object identifier of the control and controlled mapping table, it means that the shareholding control object of the target object identifier has not been searched, so according to the target holding
  • the stock link determines the shareholding control object corresponding to the target object identifier, and uses the determined object identifier of the shareholding control object as the control object identifier to be stored; the target object identifier and the control object to be stored
  • the identification is added to the control and controlled mapping table as associated data, that is, the target object identification is added to the controlled object identification of the control and controlled mapping table, and the control object to be stored Identify the control object identifier added to the control and controlled mapping table.
  • the shareholding control object identified by the target object is the object with the largest shareholding ratio for the target object identifier.
  • the control object identifier of is used as the node control object identifier.
  • the target object identifier is searched in each of the object identifiers in the object and shareholding mapping table, and the shareholding corresponding to the object identifier found in the object and shareholding mapping table
  • the ratio is used as the second shareholding ratio; the node control object’s shareholding ratio is added to the second shareholding ratio, and the data obtained by the addition is used as the second shareholding ratio to be stored; the The second shareholding ratio in the shareholding ratio to be updated is replaced with the second shareholding ratio to be stored, and the replacement is completed to generate the single-node completion signal, thereby realizing the accumulation of the second shareholding ratio to all In the above object and shareholding mapping table.
  • the node control object identifier when the node control object identifier does not exist in the object and shareholding mapping table, it means that the calculation of the shareholding ratio of the node control object identifier to the target enterprise identifier has not been calculated, so the all The node control object identifier and the node control object shareholding ratio are added as associated data to the object and shareholding mapping table, and the addition is completed to generate the single node completion signal; the node control object identifier and the node control object The shareholding ratio is added to the object and shareholding mapping table as associated data, that is, the node control object identifier is added to the object identifier of the object and shareholding mapping table, and the node control object holding The share ratio is added to the shareholding ratio in the object and shareholding mapping table.
  • the above-mentioned step of updating the list of direct shareholders according to the identity of the real controlling shareholder includes:
  • S32 Determine whether the identity of the nominal controlling shareholder is the same as the identity of the real controlling shareholder
  • the list of direct shareholders is updated according to the identity of the real controlling shareholder, which provides a basis for subsequent calculation of shareholding control ratios.
  • For S31 acquire the object ID of the first-ranked shareholder from the direct shareholder list, and use the acquired object ID as the nominal controlling shareholder ID.
  • the identity of the real controlling shareholder is updated to the position of the virtual shareholder.
  • the step of identifying the control object of the target enterprise identifier according to the set of shareholding links, the set of appointment links and the list of direct shareholders, and obtaining the target control object includes:
  • the shareholding control ratio is calculated first, then the employment control ratio is calculated using the employment control ratio dictionary, and finally the control object is identified for the target enterprise logo according to the calculation results of the shareholding control ratio and the employment control ratio calculation results, Improved the accuracy of final control object judgment.
  • the shareholding control ratio transition algorithm is used to calculate the shareholding control ratio of the target enterprise logo according to the shareholding link set and the direct shareholder list, and determine the shareholding control ratio according to the calculated data gather.
  • the shareholding control ratio set includes: an object identifier and a shareholding control ratio, and the shareholding control ratio is the shareholding control ratio of the object identifier to the target enterprise identifier.
  • the shareholding control ratio transition algorithm means that the largest shareholder inherits the shareholding control ratio of the accused object to other objects as the shareholding control ratio. It is understandable that the non-largest shareholder needs to multiply the shareholding control ratio of the accused object to other objects by its own shareholding ratio.
  • enterprise F1 is the non-largest shareholder of enterprise F2
  • enterprise F3 is the largest shareholder of enterprise E2
  • enterprise F1 holds 40% of the shares of enterprise F2
  • enterprise F3 holds 60% of the shares of enterprise F2
  • enterprise F2 holds 60% of the shares of enterprise F2.
  • the shareholding ratio of the target enterprise logo is 30%, and enterprise F2 is not the largest shareholder of the target enterprise logo, then the shareholding control ratio of enterprise F2 to the target enterprise logo is 30% (that is, no shareholding ratio transition), the shareholding control ratio of enterprise F3 to the target enterprise logo is 30% (that is, enterprise F3 inherits the shareholding control ratio of enterprise F2 to the target enterprise logo), and the shareholding ratio of enterprise F1 to the target enterprise logo
  • the shareholding ratio is 12% (that is, the 40% shareholding ratio of enterprise F1 is multiplied by the 30% shareholding ratio of enterprise F2), which is not specifically limited in this example.
  • enterprise F1 is the non-largest shareholder of enterprise F2
  • enterprise F3 is the largest shareholder of enterprise E2
  • the shareholding ratio of enterprise F1 to enterprise F2 is 40%
  • the shareholding ratio of enterprise F3 to enterprise F2 is 60%
  • enterprise F2 The shareholding ratio of the target enterprise logo
  • the shareholding control ratio of enterprise F2 to the target enterprise logo is 100% (that is, the shareholding ratio transition)
  • the shareholding control ratio of enterprise F3 to the target enterprise logo is 100% (that is, enterprise F3 inherits the shareholding control ratio of enterprise F2 to the target enterprise logo)
  • the shareholding control ratio of enterprise F1 to the target enterprise logo is 100%.
  • the shareholding ratio is 40% (that is, the 40% shareholding ratio of enterprise F1 is multiplied by the 100% shareholding ratio of enterprise F2), which is not specifically limited in this example.
  • the duty control ratio dictionary input by the user may be obtained, the duty control ratio dictionary may be obtained from a database, or the duty control ratio dictionary may be obtained from a third-party application system.
  • the job control ratio dictionary includes: job title and job control ratio.
  • the set of tenure control ratios includes: an executive identifier, an object identifier, and an tenure control ratio, wherein the tenure control ratio is a control ratio obtained by converting the tenure of the natural person corresponding to the executive identifier in the object identifier.
  • the set of fusion control ratios includes: executive logos and fusion control ratios, where the fusion control ratios are the control ratios of the executive logos over the target enterprise logos.
  • the step of identifying the control object of the target enterprise logo according to the set of shareholding control ratios and the set of employment control ratios, and obtaining the target control object includes:
  • S441 Perform fusion control ratio calculation according to the set of shareholding control ratios and the set of employment control ratios to obtain a set of fusion control ratios;
  • the fused control ratio is calculated first, and then the object corresponding to the maximum value of the fused control ratio is used as the control object identification result, which improves the accuracy of final control object judgment.
  • weighted sum calculation is performed according to the shareholding control ratio set and the appointment control ratio set, and the control ratio obtained from the weighted sum calculation is used as a fusion control ratio set.
  • control ratio is 18% (that is, the shareholding control ratio 30% ⁇ the employment control ratio 60%), which is not specifically limited in this example.
  • the object corresponding to the target control ratio is used as the target control object corresponding to the target enterprise identifier, thereby obtaining the final control object of the target enterprise identifier.
  • the above step of calculating the shareholding control ratio of the target enterprise logo according to the set of shareholding links and the list of direct shareholders, and obtaining the set of shareholding control ratios includes:
  • S411 Using the shareholding ratio transition algorithm, according to the direct shareholder list, calculate the direct shareholder's shareholding control ratio for the target enterprise identifier, and obtain a direct shareholder's shareholding control ratio set;
  • S412 Using the shareholding ratio transition algorithm, according to the shareholding link set and the direct shareholder shareholding control ratio set, respectively calculate the shareholding control ratio of each object for the target enterprise identifier, and obtain the A collection of shares controlling proportions.
  • This embodiment first uses the shareholding ratio jump algorithm to calculate the shareholding control ratio of the direct shareholder, and then uses the shareholding ratio jump algorithm to calculate the shareholding control ratio of each object, thereby determining the impact of each object on the target enterprise identity.
  • the proportion of shareholding control provides a basis for the subsequent determination of the ultimate control object of the target enterprise logo.
  • the set of shareholding control ratios of direct shareholders includes: object identifiers and shareholding control ratios.
  • the list of direct shareholders calculate the shareholding control ratio of the direct shareholders for the target enterprise identifier, and do not perform shareholding ratio transition processing when the direct shareholder shareholding control ratio set is obtained , and directly use the shareholding ratio in the direct shareholder list as the shareholding control ratio.
  • the target enterprise identifier is respectively calculated for the shareholding control ratio of each object, and the calculated All shareholding control ratios of all the shareholding control ratios are used as the set of shareholding control ratios, wherein, when calculating the shareholding control ratios of each object for the target enterprise identifier, the adoption of shareholding ratios is performed for the set of shareholding links jump algorithm.
  • a shareholding ratio transition algorithm is adopted for the set of shareholding links, that is, the largest shareholder inherits the shareholding control ratio of the accused object to other objects as the shareholding control ratio. It is understandable that the non-largest shareholder needs to multiply the shareholding control ratio of the accused object to other objects by its own shareholding ratio.
  • control object identification device suitable for parallel links, the device includes:
  • the data acquisition module 100 is used to acquire the target enterprise identifier and the direct shareholder list corresponding to the target enterprise identifier, a set of shareholding links and a set of tenure links, wherein the set of shareholding links includes parallel links;
  • the real controlling shareholder identification determination module 200 is configured to use the controlling shareholder iterative algorithm to determine the controlling shareholder identification for the target enterprise identification according to the set of shareholding links, so as to obtain the real controlling shareholder identification;
  • a direct shareholder list updating module 300 configured to update the direct shareholder list according to the real controlling shareholder identification
  • the target control object determination module 400 is configured to identify the control object of the target enterprise identifier according to the shareholding link set, the appointment link set and the direct shareholder list, and obtain the target control object.
  • an embodiment of the present application further provides a computer device, which may be a server, and its internal structure may be as shown in FIG. 3 .
  • the computer device includes a processor, memory, network interface and database connected by a system bus. Among them, the processor designed by the computer is used to provide calculation and control capabilities.
  • the memory of the computer device includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system, computer programs and databases.
  • the memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium.
  • the database of the computer equipment is used to store data such as the control object identification method applicable to the parallel link.
  • the network interface of the computer device is used to communicate with an external terminal via a network connection.
  • the control object identification method suitable for parallel links includes: obtaining the target enterprise ID and the direct shareholder list corresponding to the target enterprise ID, a set of shareholding links and a set of tenure links, wherein the shareholding link
  • the set includes parallel links; using the controlling shareholder iterative algorithm, according to the shareholding link set, the controlling shareholder identity is determined for the target enterprise identity, and the real controlling shareholder identity is obtained; the real controlling shareholder identity is updated according to the real controlling shareholder identity.
  • a list of direct shareholders according to the set of shareholding links, the set of appointment links and the list of direct shareholders, identify the control object of the target enterprise identifier to obtain the target control object.
  • the holding Shareholder iterative algorithm determines the identity of the controlling shareholder for the target enterprise identity, obtain the identity of the real controlling shareholder, update the list of direct shareholders according to the identity of the real controlling shareholder, and finally share link set, the appointment link set, and the direct shareholder list, identify the control object of the target enterprise logo, obtain the target control object, and identify the shareholding control object through the controlling shareholder iterative algorithm, effectively processing It solves the problems caused by the traditional decentralized holding of multiple parallel links, and improves the accuracy of the judgment of the final control object; Identify the control object based on the identification of the above-mentioned target enterprise, thus taking into account the employment link and further improving the accuracy of the final control object judgment.
  • An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored.
  • a control object identification method suitable for parallel links is implemented, including the steps of: acquiring the target enterprise identification A list of direct shareholders, a set of shareholding links, and a set of service links corresponding to the target enterprise logo, wherein the set of shareholding links includes parallel links; using the iterative algorithm of controlling shareholders, according to the shareholding chain
  • the identification of the controlling shareholder is determined to obtain the identification of the real controlling shareholder
  • the list of direct shareholders is updated according to the identification of the real controlling shareholder
  • according to the set of shareholding links and the set of service links and the list of direct shareholders identify the control object of the target enterprise identifier, and obtain the target control object.
  • the control object identification method applicable to parallel links implemented above first obtains the target company ID and the direct shareholder list corresponding to the target company ID, the set of shareholding links and the set of service links, wherein the shareholding chain
  • the road set includes parallel links, and then adopt the controlling shareholder iterative algorithm, according to the shareholding link set, determine the controlling shareholder ID for the target enterprise ID, obtain the real controlling shareholder ID, and update according to the real controlling shareholder ID
  • the list of direct shareholders and finally, according to the set of shareholding links, the set of appointment links and the list of direct shareholders, identify the control object of the target enterprise logo, obtain the target control object, and use the iterative algorithm of the controlling shareholder
  • the identification of shareholding control objects effectively solves the problems caused by traditional multiple parallel links decentralized holdings, and improves the accuracy of final control object judgment;
  • the set of links and the list of direct shareholders identify the control object of the target enterprise logo, thereby taking into account the employment link and further improving the accuracy of the final control object judgment.
  • the computer-readable storage medium may be non-volatile or volatile.
  • Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM is available in various forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM Static RAM
  • DRAM Dynamic RAM
  • SDRAM Synchronous DRAM
  • SSRSDRAM Double Data Rate SDRAM
  • ESDRAM Enhanced SDRAM
  • SLDRAM Synchronous Link (Synchlink) DRAM
  • SLDRAM Synchronous Link (Synchlink) DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

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Abstract

本申请涉及人工智能技术领域,揭示了一种适用于并行链路的控制对象识别方法、装置、设备及介质,其中方法包括:获取目标企业标识和目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,持股链路集合中包括并行链路;采用控股股东迭代算法,根据持股链路集合,针对目标企业标识进行控股股东标识确定,得到真实控股股东标识;根据真实控股股东标识更新直接股东名单;根据持股链路集合、任职链路集合和直接股东名单,对目标企业标识进行控制对象识别,得到目标控制对象。从而通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性。

Description

适用于并行链路的控制对象识别方法、装置、设备及介质
本申请要求于2021年08月09日提交中国专利局、申请号为202110910219.5,发明名称为“适用于并行链路的控制对象识别方法、装置、设备及介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及到人工智能技术领域,特别是涉及到一种适用于并行链路的控制对象识别方法、装置、设备及介质。
背景技术
传统的基于图谱技术的控制对象识别方法为:首先构建企业关联关系网络,然后给定企业,通过持股、高管、执行事务合伙人等关联关系遍历企业关联关系网络,搜索给定企业的所有对象,最后计算各个对象的控制比例,根据各个对象的控制比例以及路径依赖判断最终控制对象。
发明人意识到因一家企业的某几个股东可能存在相同的控制对象的情况,形成了多个并行链路分散控股,并行链路会导致传统的控制对象识别方法出现偏差,无法准确定义最终控制比例,无法判断最终控制对象。比如,企业A、企业B和企业C是目标企业T的股东,持股比例分别为:40%、35%、25%,企业D是企业B和企业C的控股股东,从而企业D与目标企业T之间存在两条并行链路,以实现对目标企业T分散控股,此时企业A是名义控股股东标识,但是实际上确并不具有控股权,企业D才是企业T的持股控制对象,传统的控制对象识别方法会将企业A识别为企业T的持股控制对象,与实际情况不符合,导致无法准确的识别最终控制对象。
技术问题
本申请的主要目的为提供一种适用于并行链路的控制对象识别方法、装置、设备及介质,旨在解决基于图谱技术的控制对象识别方法,在多个并行链路分散控股的应用场景中会出现偏差,无法准确定义最终控制比例,无法判断最终控制对象的技术问题。
技术解决方案
为了实现上述发明目的,本申请提出一种适用于并行链路的控制对象识别方法,所述方法包括:
获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
根据所述真实控股股东标识更新所述直接股东名单;
根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本申请还提出了一种适用于并行链路的控制对象识别装置,所述装置包括:
数据获取模块,用于获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
真实控股股东标识确定模块,用于采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
直接股东名单更新模块,用于根据所述真实控股股东标识更新所述直接股东名单;
目标控制对象确定模块,用于根据所述持股链路集合、所述任职链路集合和 所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本申请还提出了一种计算机设备,包括存储器和处理器,所述存储器存储有计算机程序,所述处理器执行所述计算机程序时实现如下方法步骤:
获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
根据所述真实控股股东标识更新所述直接股东名单;
根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本申请还提出了一种计算机可读存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现如下方法步骤:
获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
根据所述真实控股股东标识更新所述直接股东名单;
根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
有益效果
本申请的适用于并行链路的控制对象识别方法、装置、设备及介质,其中方法通过首先获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路,然后采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识,根据所述真实控股股东标识更新所述直接股东名单,最后根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象,通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性;而且通过根据所述持股链路集合、所述任职链路集合和所述直接股东名单对所述目标企业标识进行控制对象识别,从而兼顾了任职链路,进一步条了最终控制对象判断的准确性。
附图说明
图1为本申请一实施例的适用于并行链路的控制对象识别方法的流程示意图;
图2为本申请一实施例的适用于并行链路的控制对象识别装置的结构示意框图;
图3为本申请一实施例的计算机设备的结构示意框图。
本申请目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。
本发明的实施方式
为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。
参照图1,本申请实施例中提供一种适用于并行链路的控制对象识别方法,所述方法包括:
S1:获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
S2:采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
S3:根据所述真实控股股东标识更新所述直接股东名单;
S4:根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本实施例通过首先获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路,然后采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识,根据所述真实控股股东标识更新所述直接股东名单,最后根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象,通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性;而且通过根据所述持股链路集合、所述任职链路集合和所述直接股东名单对所述目标企业标识进行控制对象识别,从而兼顾了任职链路,进一步条了最终控制对象判断的准确性。
对于S1,可以获取用户输入的目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,也可以从数据库中获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,还可以从第三方应用系统中获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合。
所述目标企业标识,是需要识别控制对象的企业标识。企业标识可以是企业名称、企业简称、企业ID等唯一标识一个企业的数据。
所述直接股东名单是所述目标企业标识对应的企业的直接持股的股东的名单。所述直接股东名单包括:排名、对象标识和持股比例,持股比例是对所述目标企业标识对应的企业的直接持股的比例。可以理解的是,所述直接股东名单中的对象标识根据持股比例倒序排列。
所述持股链路集合包括:一个或多个持股链路。所述持股链路包括一个或多个节点,所述节点包括:对象标识和持股比例。所述持股链路中的节点串联连接。其中,所述持股链路中的第i个节点的持股比例,是所述持股链路中的第i个节点的对象标识对所述持股链路中的第i-1个节点的对象标识的持股比例。
对象标识可以是对象名称、对象ID等唯一标识一个对象的数据。所述对象包括:自然人、企业、机构中的一种或多种。机构包括但不限于:政府机构。
所述任职链路集合,是在所述对象集合中的各个企业和/或各个机构任职的高管员工的集合。所述任职链路集合包括:对象标识、高管标识、职位名称,也就是说所述任职链路集合中的对象标识对应的是企业或机构。高管标识可以是高管名称、高管ID等唯一标识一个高管员工的数据。所述职位名称包括但不限于:董事长、总经理、法人代表、董事、监事。
可选的,所述目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合的步骤,包括:获取所述目标企业标识对应的对象关联知识图谱;采用深度优先搜索算法,根据所述对象关联知识图谱,对所述目标企业标识分别进行直接股东名单识别、持股链路集合识别和任职链路集合识别,得到所述目标企业标识对应的所述直接股东名单、所述持股链路集合和所述任职链 路集合。
所述深度优先搜索算法,是属于图算法的一种,是一个针对图和树的遍历算法,英文缩写为DFS,英文名称为Depth First Search。
对于S2,分别查询所述持股链路集合中的每条持股链路每个节点,首先根据查新到的节点对所述目标企业标识的持股比例,构建对象与持股映射表,然后根据查新到的节点更新控制与被控映射表,最后根据控制与被控映射表确定每个节点的控制对象,根据每个节点的控制对象对所述目标企业标识的持股比例更新对象与持股映射表;在完成所述持股链路集合的节点遍历搜索处理后,根据对象与持股映射表确定真实控股股东标识,从而实现了采用控股股东迭代算法进行控股股东标识确定。
所述控制与被控映射表包括:控制对象标识和被控制对象标识,控制对象标识是被控制对象标识的持股控制对象。所述控制对象标识也是对象标识。所述被控制对象标识也是对象标识。
所述对象与持股映射表包括:对象标识和持股比例。
对于S3,当所述真实控股股东标识与所述直接股东名单中的名义控股股东标识相同时,不需更新所述直接股东名单;当所述真实控股股东标识与所述直接股东名单中的名义控股股东标识不相同时,将所述直接股东名单中所有的直接股东对应的排名往后移一位,将所述直接股东名单中排名为第一的股东位设置为虚拟股东位。
比如,所述目标企业标识对应的企业的股东G1、G2、G3,分别持股40%、30%、20%,排名分别为1、2、3,现在发现对象标识D1对所述目标企业标识的实际持股比例为50%,则股东G1是名义控股股东标识,对象标识D1才是真实控股股东标识,则股东G1、G2、G3的排名调整为2、3、4,从而实现了将所述直接股东名单中所有的直接股东对应的排名往后移一位,在此举例不做具体限定。
对于S4,首先根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算;其次根据任职链路集合,对所述目标企业标识进行任职控制比例计算;然后根据持股控制比例和任职控制比例进行融合控制比例计算;最后将最大的融合控制比例对应的对象作为所述目标控制对象。
在一个实施例中,上述采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识的步骤包括:
S21:获取控制与被控映射表和对象与持股映射表;
S22:从所述持股链路集合中获取持股链路作为目标持股链路;
S23:获取检索计数器,将所述检索计数器初始化为2;
S24:采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果;
S25:当所述节点查找结果为成功时,将所述检索计数器对应的节点的对象标识作为目标对象标识,根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号;
S26:根据所述单节点完成信号,将所述检索计数器加1,重复执行所述采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果的步骤,直至所述节点查找结果为失败;
S27:当所述节点查找结果为失败时,重复执行所述从所述持股链路集合中获取持股链路作为目标持股链路的步骤,直至完成所述持股链路集合中的所述持 股链路的获取;
S28:根据所述对象与持股映射表进行控股股东标识确定,得到所述真实控股股东标识。
本实施例通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性。
对于S21,可以获取用户输入的控制与被控映射表和对象与持股映射表,也可以从数据库中获取控制与被控映射表和对象与持股映射表,还可以从第三方应用系统中获取控制与被控映射表和对象与持股映射表。
可以理解的是,本步骤获取的控制与被控映射表和对象与持股映射表是数据为空的数据表。
对于S22,从所述持股链路集合中获取一个持股链路,将获取的持股链路作为目标持股链路。
对于S23,创建一个计数器,作为检索计数器,并且将检索计数器初始化为2,从而实现对每条持股链路的搜索时可以首先处理持股链路的第二个节点。
对于S24,采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,当成功获取到节点时确定所述节点查找结果为成功,当没有成功获取到节点时确定所述节点查找结果为失败。
比如,当所述检索计数器为4时,采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,也就是查找所述目标持股链路中的第4个节点。
对于S25,当所述节点查找结果为成功时,采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,将在所述检索计数器查找到的节点对应的对象标识作为所述目标对象标识。
其中,首先根据所述目标对象标识对所述目标企业标识的持股比例,构建对象与持股映射表,然后根据所述目标对象标识更新控制与被控映射表,最后根据控制与被控映射表确定所述目标对象标识的控制对象,根据所述目标对象标识的控制对象对所述目标企业标识的持股比例更新对象与持股映射表,完成更新时生成单节点完成信号。从而实现了控股股东迭代算法的计算。
对于S26,当收到所述单节点完成信号时,响应所述单节点完成信号,将所述检索计数器加1,以用于获取所述目标持股链路中的下一个节点进行计算,重复执行步骤S24至步骤S26,直至所述节点查找结果为失败。其中,所述节点查找结果为失败意味着所述目标持股链路中的所有节点已经完成计算。
对于S27,当所述节点查找结果为失败时,重复执行步骤S22至步骤S27,直至完成所述持股链路集合中的所述持股链路的获取,从而对所述持股链路集合中的所有所述持股链路的所有节点已经完成计算。
对于S28,从所述对象与持股映射表中找出最大的持股比例,将找出的持股比例对应的对象标识作为所述真实控股股东标识,将找出的最大的持股比例作为所述真实控股股东标识的控股比例。
在一个实施例中,上述根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号的步骤,包括:
S251:根据所述目标持股链路获取所述目标对象标识对所述目标企业标识的持股比例,得到待更新的持股比例;
S252:判断所述对象与持股映射表中是否存在所述目标对象标识;
S253:当所述对象与持股映射表中存在所述目标对象标识时,从所述对象与持股映射表中获取所述目标对象标识对应的持股比例,得到第一持股比例,将所述待更新的持股比例和所述第一持股比例进行相加,得到第一待存储的持股比例,采用所述第一待存储的持股比例,对所述待更新的持股比例中的所述第一持股比例进行替换;
S254:当所述对象与持股映射表中不存在所述目标对象标识时,将所述目标对象标识和所述待更新的持股比例作为关联数据添加所述对象与持股映射表;
S255:判断所述控制与被控映射表的被控对象标识中是否存在所述目标对象标识;
S256:当所述控制与被控映射表的被控对象标识中不存在所述目标对象标识时,获取所述目标对象标识对应的控制对象,得到待存储的控制对象标识,将所述目标对象标识和所述待存储的控制对象标识作为关联数据添加到所述控制与被控映射表中;
S257:将所述目标对象标识在所述控制与被控映射表中查找到的所述被控对象标识对应的控制对象标识作为节点控制对象标识;
S258:判断所述对象与持股映射表中是否存在所述节点控制对象标识;
S259:根据所述目标持股链路获取所述节点控制对象标识对所述目标企业标识的持股比例,得到节点控制对象持股比例;
S2510:当所述对象与持股映射表中存在所述节点控制对象标识时,从所述对象与持股映射表中获取所述节点控制对象标识对应的持股比例,得到第二持股比例,将所述节点控制对象持股比例和所述第二持股比例进行相加,得到第二待存储的持股比例,采用所述第二待存储的持股比例,对所述待更新的持股比例中的所述第二持股比例进行替换,生成所述单节点完成信号;
S2511:当所述对象与持股映射表中不存在所述节点控制对象标识时,将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表,生成所述单节点完成信号。
本实施例首先根据所述目标对象标识对所述目标企业标识的持股比例,构建对象与持股映射表,然后根据所述目标对象标识更新控制与被控映射表,最后根据控制与被控映射表确定所述目标对象标识的控制对象,根据所述目标对象标识的控制对象对所述目标企业标识的持股比例更新对象与持股映射表,完成更新时生成单节点完成信号,从而实现了控股股东迭代算法的计算。
对于S251,采用串联相乘的方法,根据所述目标持股链路确定所述目标对象标识对所述目标企业标识的持股比例,将获取的持股比例作为所述待更新的持股比例。
比如,对象G1对所述目标对象标识的持股比例为:40%,对象G2是对象G1的持股比例为30%,对象G2、对象G1和所述目标对象标识形成串联,采用串联相乘的方法,也就是将40%×30%的值12%作为对象G2对所述目标对象标识的持股比例,在此举例不做具体限定。
对于S252,判断所述对象与持股映射表的对象标识中是否存在所述目标对象标识。
对于S253,当所述对象与持股映射表中存在所述目标对象标识时,意味着已经对所述目标对象标识在其他节点进行过控股迭代的持股比例计算,将所述目标对象标识在所述对象与持股映射表中查找,在所述对象与持股映射表中查找到的对象标识对应的持股比例作为所述第一持股比例;将所述待更新的持股比例和 所述第一持股比例进行相加,将相加得到的数据作为第一待存储的持股比例;将所述待更新的持股比例中的所述第一持股比例替换为所述第一待存储的持股比例,从而实现了将第一持股比例累加到所述对象与持股映射表中。
对于S254,当所述对象与持股映射表中不存在所述目标对象标识时,意味着没对所述目标对象标识进行控股迭代的持股比例计算,因此将所述目标对象标识和所述待更新的持股比例作为关联数据,将关联数据添加到所述对象与持股映射表中,也就是将所述目标对象标识添加到所述对象与持股映射表的对象标识中,将所述待更新的持股比例添加到所述对象与持股映射表的持股比例中。
对于S256,当所述控制与被控映射表的被控对象标识中不存在所述目标对象标识时,意味着还没查找过所述目标对象标识的持股控制对象,因此根据所述目标持股链路确定所述目标对象标识对应的持股控制对象,将确定的持股控制对象的对象标识作为所述待存储的控制对象标识;将所述目标对象标识和所述待存储的控制对象标识作为关联数据添加到所述控制与被控映射表中,也就是将所述目标对象标识添加到所述控制与被控映射表的所述被控制对象标识,将所述待存储的控制对象标识添加到所述控制与被控映射表的所述控制对象标识。
所述目标对象标识的持股控制对象,也就是对所述目标对象标识持股比例最大的对象。
对于S257,将所述目标对象标识在所述控制与被控映射表的各个所述被控对象标识中查找,将在所述控制与被控映射表中查找到的所述被控对象标识对应的所述控制对象标识作为所述节点控制对象标识。
对于S258,判断所述对象与持股映射表的对象标识中是否存在所述节点控制对象标识。
对于S259,采用串联相乘的方法,根据所述目标持股链路确定所述节点控制对象标识对所述目标企业标识的持股比例,将确定的持股比例作为所述节点控制对象持股比例。
对于S2510,当所述对象与持股映射表的各个所述对象标识中存在所述节点控制对象标识时,意味着已经计算过所述节点控制对象标识对所述目标企业标识的持股比例计算,因此,将所述目标对象标识在所述对象与持股映射表的各个所述对象标识中进行查找,将在所述对象与持股映射表中查到的所述对象标识对应的持股比例作为所述第二持股比例;将所述节点控制对象持股比例和所述第二持股比例进行相加,将相加得到的数据作为第二待存储的持股比例;将所述待更新的持股比例中的所述第二持股比例替换为所述第二待存储的持股比例,替换完成生成所述单节点完成信号,从而实现了将第二持股比例累加到所述对象与持股映射表中。
对于S2511,当所述对象与持股映射表中不存在所述节点控制对象标识时,意味着没有计算过所述节点控制对象标识对所述目标企业标识的持股比例计算,因此直接将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表,添加完成生成所述单节点完成信号;将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表中,也就是将所述节点控制对象标识添加到所述对象与持股映射表的所述对象标识中,将所述节点控制对象持股比例添加到所述对象与持股映射表的所述持股比例中。
在一个实施例中,上述根据所述真实控股股东标识更新所述直接股东名单的步骤,包括:
S31:从所述直接股东名单中获取控股股东标识,得到名义控股股东标识;
S32:判断所述名义控股股东标识与所述真实控股股东标识是否相同;
S33:当所述名义控股股东标识与所述真实控股股东标识不相同时,将所述直接股东名单中股东排名往后顺移一位,并且将所述直接股东名单中的所述股东排名为第一的股东位设为虚拟股东位;
S34:当所述名义控股股东标识与所述真实控股股东标识相同时,则结束对所述直接股东名单的更新。
本实施例实现了根据所述真实控股股东标识更新所述直接股东名单,为后续进行持股控制比例计算提供了基础。
对于S31,从所述直接股东名单中获取排名为第一的股东位中的对象标识,将获取的对象标识作为所述名义控股股东标识。
对于S33,当所述名义控股股东标识与所述真实控股股东标识不相同时,意味着名义上的控股股东并不是真实的控股股东,因此将所述直接股东名单中股东排名往后顺移一位,并且将所述直接股东名单中的所述股东排名为第一的股东位设为虚拟股东位。
可选的,将所述真实控股股东标识更新到所述虚拟股东位。
对于S34,当所述名义控股股东标识与所述真实控股股东标识相同时,意味着名义上的控股股东是真实的控股股东,则结束对所述直接股东名单的更新。
在一个实施例中,上述根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象的步骤包括:
S41:根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,得到持股控制比例集合;
S42:获取任职控制比例字典;
S43:采用所述任职控制比例字典,根据所述任职链路集合,对所述目标企业标识进行任职控制比例计算,得到任职控制比例集合;
S44:根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象。
本实施例实现了首先进行持股控制比例计算,然后采用任职控制比例字典进行任职控制比例计算,最后根据持股控制比例计算结果和任职控制比例计算结果对所述目标企业标识进行控制对象识别,提高了最终控制对象判断的准确性。
对于S41,采用持股控制比例跃迁算法,根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,根据计算得到数据确定所述持股控制比例集合。
所述持股控制比例集合包括:对象标识和持股控制比例,所述持股控制比例是所述对象标识对所述目标企业标识的持股控制比例。
所述持股控制比例跃迁算法,是指最大股东继承被控的对象对其他对象的持股控制比例作为持股控制比例。可以理解的是,非最大股东需要被控的对象对其他对象的持股控制比例与自己的持股比例相乘。比如,企业F1是企业F2的非最大股东,企业F3是企业E2的最大股东,企业F1对企业F2的持股比例是40%,企业F3对企业F2的持股比例是60%,企业F2对所述目标企业标识的持股比例是30%,企业F2不是所述目标企业标识的最大股东,则企业F2对所述目标企业标识的持股控制比例为30%(也就是不进行持股比例跃迁),企业F3对所述目标企业标识的持股控制比例为30%(也就是企业F3继承企业F2对所述目标企业标 识的持股控制比例),企业F1对所述目标企业标识的持股控制比例为12%(也就是将企业F1的持股比例40%和企业F2的持股控制比例30%进行相乘),在此举例不做具体限定。
又比如,企业F1是企业F2的非最大股东,企业F3是企业E2的最大股东,企业F1对企业F2的持股比例是40%,企业F3对企业F2的持股比例是60%,企业F2对所述目标企业标识的持股比例是30%,企业F2是所述目标企业标识的最大股东,则企业F2对所述目标企业标识的持股控制比例为100%(也就是进行持股比例跃迁),企业F3对所述目标企业标识的持股控制比例为100%(也就是企业F3继承企业F2对所述目标企业标识的持股控制比例),企业F1对所述目标企业标识的持股控制比例为40%(也就是将企业F1的持股比例40%和企业F2的持股控制比例100%进行相乘),在此举例不做具体限定。
对于S42,可以获取用户输入的任职控制比例字典,也可以从数据库中获取任职控制比例字典,还可以从第三方应用系统中获取任职控制比例字典。
所述任职控制比例字典包括:职位名称和任职控制比例。
对于S43,采用所述任职控制比例字典,对所述任职链路集合中的各个高管标识进行任职控制比例赋值,得到更新后的所述任职链路集合;根据更新后的所述任职链路集合,对所述任职链路集合中的各个所述高管标识进行任职控制比例计算,得到所述任职控制比例集合。
所述任职控制比例集合包括:高管标识、对象标识和任职控制比例,其中,所述任职控制比例是所述高管标识对应的自然人在所述对象标识的任职换算得到的控制比例。
对于S44,根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行融合控制比例计算,得到融合控制比例集合;根据所述融合控制比例集合确定所述目标控制对象。
所述融合控制比例集合包括:高管标识和融合控制比例,所述融合控制比例是所述高管标识对所述目标企业标识的控制比例。
在一个实施例中,上述根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象的步骤,包括:
S441:根据所述持股控制比例集合和所述任职控制比例集合进行融合控制比例计算,得到融合控制比例集合;
S442:从所述融合控制比例集合中找出最大融合控制比例,得到目标融合控制比例;
S443:将所述目标融合控制比例对应的对象,作为所述目标控制对象。
本实施例首先进行融合控制比例计算,然后将融合后的控制比例的最大值对应的对象作为所述控制对象识别结果,提高了最终控制对象判断的准确性。
对于S441,根据所述持股控制比例集合和所述任职控制比例集合进行加权求和计算,将加权求和计算得到的控制比例作为融合控制比例集合。
比如,企业C对目标企业标识T的持股控制比例为30%,高管K1是企业C的董事长,董事长对应的任职控制比例是60%,则高管K1对目标企业标识T的融合控制比例是18%(也就是持股控制比例30%×任职控制比例60%),在此举例不做具体限定。
对于S442,从所述融合控制比例集合中找出最大融合控制比例,将找出的最大的融合控制比例作为目标融合控制比例。
对于S443,将所述目标控制比例对应的对象作为所述目标企业标识对应的 所述目标控制对象,从而得到了所述目标企业标识的最终控制对象。
在一个实施例中,上述根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,得到持股控制比例集合的步骤,包括:
S411:采用持股比例跃迁算法,根据所述直接股东名单,对所述目标企业标识进行直接股东的持股控制比例计算,得到直接股东持股控制比例集合;
S412:采用持股比例跃迁算法,根据所述持股链路集合和所述直接股东持股控制比例集合,对所述目标企业标识分别进行每个对象的持股控制比例计算,得到所述持股控制比例集合。
本实施例首先采用持股比例跃迁算法进行直接股东的持股控制比例计算,然后再采用持股比例跃迁算法进行每个对象的持股控制比例计算,从而确定了各个对象对所述目标企业标识的持股控制比例,为后续确定所述目标企业标识的最终控制对象提供了基础。
对于S411,采用持股比例跃迁算法,将所述直接股东名单中排名为第一的股东位的对象标识的持股控制比例确定为100%(也就是进行跃迁),将所述直接股东名单中排名不为第一的股东位的对象标识的持股比例直接作为持股控制比例(也就是不进行跃迁),将确定的所有持股控制比例作为直接股东持股控制比例集合。
所述直接股东持股控制比例集合包括:对象标识和持股控制比例。
可选的,在另一个实施例中,根据所述直接股东名单,对所述目标企业标识进行直接股东的持股控制比例计算,得到直接股东持股控制比例集合时不进行持股比例跃迁处理,直接将所述直接股东名单中的持股比例作为持股控制比例。
对于S412,采用持股比例跃迁算法,根据所述持股链路集合和所述直接股东持股控制比例集合,对所述目标企业标识分别进行每个对象的持股控制比例计算,将计算得到的所有持股控制比例作为所述持股控制比例集合,其中,在对所述目标企业标识分别进行每个对象的持股控制比例计算时,针对所述持股链路集合进行采用持股比例跃迁算法。
针对所述持股链路集合进行采用持股比例跃迁算法,也就是,是指最大股东继承被控的对象对其他对象的持股控制比例作为持股控制比例。可以理解的是,非最大股东需要被控的对象对其他对象的持股控制比例与自己的持股比例相乘。
参照图2,本申请还提出了一种适用于并行链路的控制对象识别装置,所述装置包括:
数据获取模块100,用于获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
真实控股股东标识确定模块200,用于采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
直接股东名单更新模块300,用于根据所述真实控股股东标识更新所述直接股东名单;
目标控制对象确定模块400,用于根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本实施例通过首先获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路, 然后采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识,根据所述真实控股股东标识更新所述直接股东名单,最后根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象,通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性;而且通过根据所述持股链路集合、所述任职链路集合和所述直接股东名单对所述目标企业标识进行控制对象识别,从而兼顾了任职链路,进一步条了最终控制对象判断的准确性。
参照图3,本申请实施例中还提供一种计算机设备,该计算机设备可以是服务器,其内部结构可以如图3所示。该计算机设备包括通过系统总线连接的处理器、存储器、网络接口和数据库。其中,该计算机设计的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统、计算机程序和数据库。该内存器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的数据库用于储存适用于并行链路的控制对象识别方法等数据。该计算机设备的网络接口用于与外部的终端通过网络连接通信。该计算机程序被处理器执行时以实现一种适用于并行链路的控制对象识别方法。所述适用于并行链路的控制对象识别方法,包括:获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;根据所述真实控股股东标识更新所述直接股东名单;根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
本实施例通过首先获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路,然后采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识,根据所述真实控股股东标识更新所述直接股东名单,最后根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象,通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性;而且通过根据所述持股链路集合、所述任职链路集合和所述直接股东名单对所述目标企业标识进行控制对象识别,从而兼顾了任职链路,进一步条了最终控制对象判断的准确性。
本申请一实施例还提供一种计算机可读存储介质,其上存储有计算机程序,计算机程序被处理器执行时实现一种适用于并行链路的控制对象识别方法,包括步骤:获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;根据所述真实控股股东标识更新所述直接股东名单;根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
上述执行的适用于并行链路的控制对象识别方法,通过首先获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路,然后采用控股股东迭代算法,根据所述 持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识,根据所述真实控股股东标识更新所述直接股东名单,最后根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象,通过控股股东迭代算法进行持股控制对象的识别,有效的处理了传统的多个并行链路分散控股带来的问题,提高了最终控制对象判断的准确性;而且通过根据所述持股链路集合、所述任职链路集合和所述直接股东名单对所述目标企业标识进行控制对象识别,从而兼顾了任职链路,进一步条了最终控制对象判断的准确性。
所述计算机可读存储介质可以是非易失性,也可以是易失性。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程,是可以通过计算机程序来指令相关的硬件来完成,所述的计算机程序可存储于一非易失性计算机可读取存储介质中,该计算机程序在执行时,可包括如上述各方法的实施例的流程。其中,本申请所提供的和实施例中所使用的对存储器、存储、数据库或其它介质的任何引用,均可包括非易失性和/或易失性存储器。非易失性存储器可以包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限,RAM以多种形式可得,诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双速据率SDRAM(SSRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、装置、物品或者方法不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、装置、物品或者方法所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括该要素的过程、装置、物品或者方法中还存在另外的相同要素。
以上所述仅为本申请的优选实施例,并非因此限制本申请的专利范围,凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换,或直接或间接运用在其他相关的技术领域,均同理包括在本申请的专利保护范围内。

Claims (20)

  1. 一种适用于并行链路的控制对象识别方法,其中,所述方法包括:
    获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
    采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
    根据所述真实控股股东标识更新所述直接股东名单;
    根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
  2. 根据权利要求1所述的适用于并行链路的控制对象识别方法,其中,所述采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识的步骤包括:
    获取控制与被控映射表和对象与持股映射表;
    从所述持股链路集合中获取持股链路作为目标持股链路;
    获取检索计数器,将所述检索计数器初始化为2;
    采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果;
    当所述节点查找结果为成功时,将所述检索计数器对应的节点的对象标识作为目标对象标识,根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号;
    根据所述单节点完成信号,将所述检索计数器加1,重复执行所述采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果的步骤,直至所述节点查找结果为失败;
    当所述节点查找结果为失败时,重复执行所述从所述持股链路集合中获取持股链路作为目标持股链路的步骤,直至完成所述持股链路集合中的所述持股链路的获取;
    根据所述对象与持股映射表进行控股股东标识确定,得到所述真实控股股东标识。
  3. 根据权利要求2所述的适用于并行链路的控制对象识别方法,其中,所述根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号的步骤,包括:
    根据所述目标持股链路获取所述目标对象标识对所述目标企业标识的持股比例,得到待更新的持股比例;
    判断所述对象与持股映射表中是否存在所述目标对象标识;
    当所述对象与持股映射表中存在所述目标对象标识时,从所述对象与持股映射表中获取所述目标对象标识对应的持股比例,得到第一持股比例,将所述待更新的持股比例和所述第一持股比例进行相加,得到第一待存储的持股比例,采用所述第一待存储的持股比例,对所述待更新的持股比例中的所述第一持股比例进行替换;
    当所述对象与持股映射表中不存在所述目标对象标识时,将所述目标对象标识和所述待更新的持股比例作为关联数据添加所述对象与持股映射表;
    判断所述控制与被控映射表的被控对象标识中是否存在所述目标对象标识;
    当所述控制与被控映射表的被控对象标识中不存在所述目标对象标识时,获取所述目标对象标识对应的控制对象,得到待存储的控制对象标识,将所述目标对象标识和所述待存储的控制对象标识作为关联数据添加到所述控制与被控映射表中;
    将所述目标对象标识在所述控制与被控映射表中查找到的所述被控对象标识对应的控制对象标识作为节点控制对象标识;
    判断所述对象与持股映射表中是否存在所述节点控制对象标识;
    根据所述目标持股链路获取所述节点控制对象标识对所述目标企业标识的持股比例,得到节点控制对象持股比例;
    当所述对象与持股映射表中存在所述节点控制对象标识时,从所述对象与持股映射表中获取所述节点控制对象标识对应的持股比例,得到第二持股比例,将所述节点控制对象持股比例和所述第二持股比例进行相加,得到第二待存储的持股比例,采用所述第二待存储的持股比例,对所述待更新的持股比例中的所述第二持股比例进行替换,生成所述单节点完成信号;
    当所述对象与持股映射表中不存在所述节点控制对象标识时,将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表,生成所述单节点完成信号。
  4. 根据权利要求1所述的适用于并行链路的控制对象识别方法,其中,所述根据所述真实控股股东标识更新所述直接股东名单的步骤,包括:
    从所述直接股东名单中获取控股股东标识,得到名义控股股东标识;
    判断所述名义控股股东标识与所述真实控股股东标识是否相同;
    当所述名义控股股东标识与所述真实控股股东标识不相同时,将所述直接股东名单中股东排名往后顺移一位,并且将所述直接股东名单中的所述股东排名为第一的股东位设为虚拟股东位;
    当所述名义控股股东标识与所述真实控股股东标识相同时,则结束对所述直接股东名单的更新。
  5. 根据权利要求1所述的适用于并行链路的控制对象识别方法,其中,所述根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象的步骤包括:
    根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,得到持股控制比例集合;
    获取任职控制比例字典;
    采用所述任职控制比例字典,根据所述任职链路集合,对所述目标企业标识进行任职控制比例计算,得到任职控制比例集合;
    根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象。
  6. 根据权利要求5所述的适用于并行链路的控制对象识别方法,其中,所述根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象的步骤,包括:
    根据所述持股控制比例集合和所述任职控制比例集合进行融合控制比例计算,得到融合控制比例集合;
    从所述融合控制比例集合中找出最大融合控制比例,得到目标融合控制比例;
    将所述目标融合控制比例对应的对象,作为所述目标控制对象。
  7. 根据权利要求5所述的适用于并行链路的控制对象识别方法,其中,所述根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,得到持股控制比例集合的步骤,包括:
    采用持股比例跃迁算法,根据所述直接股东名单,对所述目标企业标识进行直接股东的持股控制比例计算,得到直接股东持股控制比例集合;
    采用持股比例跃迁算法,根据所述持股链路集合和所述直接股东持股控制比例集合,对所述目标企业标识分别进行每个对象的持股控制比例计算,得到所述持股控制比例集合。
  8. 一种适用于并行链路的控制对象识别装置,其中,所述装置包括:
    数据获取模块,用于获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
    真实控股股东标识确定模块,用于采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
    直接股东名单更新模块,用于根据所述真实控股股东标识更新所述直接股东名单;
    目标控制对象确定模块,用于根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
  9. 一种计算机设备,包括存储器和处理器,所述存储器存储有计算机程序,其中,所述处理器执行所述计算机程序时实现如下方法步骤:
    获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
    采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
    根据所述真实控股股东标识更新所述直接股东名单;
    根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
  10. 根据权利要求9所述的计算机设备,其中,所述采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识的步骤包括:
    获取控制与被控映射表和对象与持股映射表;
    从所述持股链路集合中获取持股链路作为目标持股链路;
    获取检索计数器,将所述检索计数器初始化为2;
    采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果;
    当所述节点查找结果为成功时,将所述检索计数器对应的节点的对象标识作为目标对象标识,根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号;
    根据所述单节点完成信号,将所述检索计数器加1,重复执行所述采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果的步骤,直至所述节点查找结果为失败;
    当所述节点查找结果为失败时,重复执行所述从所述持股链路集合中获取持股链路作为目标持股链路的步骤,直至完成所述持股链路集合中的所述持股链路的获取;
    根据所述对象与持股映射表进行控股股东标识确定,得到所述真实控股股东标识。
  11. 根据权利要求10所述的计算机设备,其中,所述根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号的步骤,包括:
    根据所述目标持股链路获取所述目标对象标识对所述目标企业标识的持股比例,得到待更新的持股比例;
    判断所述对象与持股映射表中是否存在所述目标对象标识;
    当所述对象与持股映射表中存在所述目标对象标识时,从所述对象与持股映射表中获取所述目标对象标识对应的持股比例,得到第一持股比例,将所述待更新的持股比例和所述第一持股比例进行相加,得到第一待存储的持股比例,采用所述第一待存储的持股比例,对所述待更新的持股比例中的所述第一持股比例进行替换;
    当所述对象与持股映射表中不存在所述目标对象标识时,将所述目标对象标识和所述待更新的持股比例作为关联数据添加所述对象与持股映射表;
    判断所述控制与被控映射表的被控对象标识中是否存在所述目标对象标识;
    当所述控制与被控映射表的被控对象标识中不存在所述目标对象标识时,获取所述目标对象标识对应的控制对象,得到待存储的控制对象标识,将所述目标对象标识和所述待存储的控制对象标识作为关联数据添加到所述控制与被控映射表中;
    将所述目标对象标识在所述控制与被控映射表中查找到的所述被控对象标识对应的控制对象标识作为节点控制对象标识;
    判断所述对象与持股映射表中是否存在所述节点控制对象标识;
    根据所述目标持股链路获取所述节点控制对象标识对所述目标企业标识的持股比例,得到节点控制对象持股比例;
    当所述对象与持股映射表中存在所述节点控制对象标识时,从所述对象与持股映射表中获取所述节点控制对象标识对应的持股比例,得到第二持股比例,将所述节点控制对象持股比例和所述第二持股比例进行相加,得到第二待存储的持股比例,采用所述第二待存储的持股比例,对所述待更新的持股比例中的所述第二持股比例进行替换,生成所述单节点完成信号;
    当所述对象与持股映射表中不存在所述节点控制对象标识时,将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表,生成所述单节点完成信号。
  12. 根据权利要求9所述的计算机设备,其中,所述根据所述真实控股股东标识更新所述直接股东名单的步骤,包括:
    从所述直接股东名单中获取控股股东标识,得到名义控股股东标识;
    判断所述名义控股股东标识与所述真实控股股东标识是否相同;
    当所述名义控股股东标识与所述真实控股股东标识不相同时,将所述直接股东名单中股东排名往后顺移一位,并且将所述直接股东名单中的所述股东排名为第一的股东位设为虚拟股东位;
    当所述名义控股股东标识与所述真实控股股东标识相同时,则结束对所述直接股东名单的更新。
  13. 根据权利要求9所述的计算机设备,其中,所述根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别, 得到目标控制对象的步骤包括:
    根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股控制比例计算,得到持股控制比例集合;
    获取任职控制比例字典;
    采用所述任职控制比例字典,根据所述任职链路集合,对所述目标企业标识进行任职控制比例计算,得到任职控制比例集合;
    根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象。
  14. 根据权利要求13所述的计算机设备,其中,所述根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象的步骤,包括:
    根据所述持股控制比例集合和所述任职控制比例集合进行融合控制比例计算,得到融合控制比例集合;
    从所述融合控制比例集合中找出最大融合控制比例,得到目标融合控制比例;
    将所述目标融合控制比例对应的对象,作为所述目标控制对象。
  15. 一种计算机可读存储介质,其上存储有计算机程序,其中,所述计算机程序被处理器执行时实现如下方法步骤:
    获取目标企业标识和所述目标企业标识对应的直接股东名单、持股链路集合和任职链路集合,其中,所述持股链路集合中包括并行链路;
    采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识;
    根据所述真实控股股东标识更新所述直接股东名单;
    根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象。
  16. 根据权利要求15所述的计算机可读存储介质,其中,所述采用控股股东迭代算法,根据所述持股链路集合,针对所述目标企业标识进行控股股东标识确定,得到真实控股股东标识的步骤包括:
    获取控制与被控映射表和对象与持股映射表;
    从所述持股链路集合中获取持股链路作为目标持股链路;
    获取检索计数器,将所述检索计数器初始化为2;
    采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果;
    当所述节点查找结果为成功时,将所述检索计数器对应的节点的对象标识作为目标对象标识,根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号;
    根据所述单节点完成信号,将所述检索计数器加1,重复执行所述采用所述目标企业标识为开始节点,从所述目标持股链路中查找所述检索计数器对应的节点,得到节点查找结果的步骤,直至所述节点查找结果为失败;
    当所述节点查找结果为失败时,重复执行所述从所述持股链路集合中获取持股链路作为目标持股链路的步骤,直至完成所述持股链路集合中的所述持股链路的获取;
    根据所述对象与持股映射表进行控股股东标识确定,得到所述真实控股股东标识。
  17. 根据权利要求16所述的计算机可读存储介质,其中,所述根据所述目标持股链路、所述目标对象标识和所述目标企业标识,对所述控制与被控映射表和所述对象与持股映射表进行更新,得到单节点完成信号的步骤,包括:
    根据所述目标持股链路获取所述目标对象标识对所述目标企业标识的持股比例,得到待更新的持股比例;
    判断所述对象与持股映射表中是否存在所述目标对象标识;
    当所述对象与持股映射表中存在所述目标对象标识时,从所述对象与持股映射表中获取所述目标对象标识对应的持股比例,得到第一持股比例,将所述待更新的持股比例和所述第一持股比例进行相加,得到第一待存储的持股比例,采用所述第一待存储的持股比例,对所述待更新的持股比例中的所述第一持股比例进行替换;
    当所述对象与持股映射表中不存在所述目标对象标识时,将所述目标对象标识和所述待更新的持股比例作为关联数据添加所述对象与持股映射表;
    判断所述控制与被控映射表的被控对象标识中是否存在所述目标对象标识;
    当所述控制与被控映射表的被控对象标识中不存在所述目标对象标识时,获取所述目标对象标识对应的控制对象,得到待存储的控制对象标识,将所述目标对象标识和所述待存储的控制对象标识作为关联数据添加到所述控制与被控映射表中;
    将所述目标对象标识在所述控制与被控映射表中查找到的所述被控对象标识对应的控制对象标识作为节点控制对象标识;
    判断所述对象与持股映射表中是否存在所述节点控制对象标识;
    根据所述目标持股链路获取所述节点控制对象标识对所述目标企业标识的持股比例,得到节点控制对象持股比例;
    当所述对象与持股映射表中存在所述节点控制对象标识时,从所述对象与持股映射表中获取所述节点控制对象标识对应的持股比例,得到第二持股比例,将所述节点控制对象持股比例和所述第二持股比例进行相加,得到第二待存储的持股比例,采用所述第二待存储的持股比例,对所述待更新的持股比例中的所述第二持股比例进行替换,生成所述单节点完成信号;
    当所述对象与持股映射表中不存在所述节点控制对象标识时,将所述节点控制对象标识和所述节点控制对象持股比例作为关联数据添加所述对象与持股映射表,生成所述单节点完成信号。
  18. 根据权利要求15所述的计算机可读存储介质,其中,所述根据所述真实控股股东标识更新所述直接股东名单的步骤,包括:
    从所述直接股东名单中获取控股股东标识,得到名义控股股东标识;
    判断所述名义控股股东标识与所述真实控股股东标识是否相同;
    当所述名义控股股东标识与所述真实控股股东标识不相同时,将所述直接股东名单中股东排名往后顺移一位,并且将所述直接股东名单中的所述股东排名为第一的股东位设为虚拟股东位;
    当所述名义控股股东标识与所述真实控股股东标识相同时,则结束对所述直接股东名单的更新。
  19. 根据权利要求15所述的计算机可读存储介质,其中,所述根据所述持股链路集合、所述任职链路集合和所述直接股东名单,对所述目标企业标识进行控制对象识别,得到目标控制对象的步骤包括:
    根据所述持股链路集合和所述直接股东名单,对所述目标企业标识进行持股 控制比例计算,得到持股控制比例集合;
    获取任职控制比例字典;
    采用所述任职控制比例字典,根据所述任职链路集合,对所述目标企业标识进行任职控制比例计算,得到任职控制比例集合;
    根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象。
  20. 根据权利要求19所述的计算机可读存储介质,其中,所述根据所述持股控制比例集合和所述任职控制比例集合,对所述目标企业标识进行控制对象识别,得到所述目标控制对象的步骤,包括:
    根据所述持股控制比例集合和所述任职控制比例集合进行融合控制比例计算,得到融合控制比例集合;
    从所述融合控制比例集合中找出最大融合控制比例,得到目标融合控制比例;
    将所述目标融合控制比例对应的对象,作为所述目标控制对象。
PCT/CN2022/072375 2021-08-09 2022-01-17 适用于并行链路的控制对象识别方法、装置、设备及介质 WO2023015846A1 (zh)

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