Data ledger management method and system for electric power data value and risk judgment

Abstract

The invention relates to the technical field of data element and asset management, in particular to a data ledger management method and system for electric power data value and risk judgment, and the method comprises the steps: collecting technical information to obtain first-hand data, carrying out product development and data registration, and obtaining result data in a specific manner according to the registered data, and performing evaluation and data risk analysis on the product. Besides, a quantifiable data value density determination method is implemented, a data product evaluation process is normalized, and protection of data security is enhanced through comprehensive data product processing flow management and control and risk monitoring measures; according to the management method, the monitoring capability of a manager and a third party on product construction is improved, risk factors in the data delivery and use process are effectively eliminated, and the safety and accuracy of electric power data are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of data elements and asset management, and in particular to a data ledger management method and system for determining the value and risk of power data. Background Art

[0002] In recent years, with the deepening application of the national data element industry, data trading, data element application and other businesses have appeared in modern enterprises in a new catalog. A series of questions have arisen, such as where the data comes from, whether the use of data is compliant, how the data is delivered and used, what is the value density of the output data products, and how to ensure data security. These management needs make the management of data products for new data trading businesses increasingly prominent. With the continuous increase in the number of external data products of enterprises, the complexity of data product business has gradually increased. Traditional manual records and simple data management tools can no longer meet the needs of enterprises for comprehensive and systematic management of data products. The general management systems of existing enterprises often lack the ability to track the entire life cycle of data products, an emerging asset, resulting in problems such as local information fragments, information islands, information asymmetry, and insufficient support for decision-making. In this context, there is an urgent need for a systematic method and an integrated information system that can realize the management of the entire process of data products from raw material collection to final release, and based on this, determine the value of data products, and perform data security risk rating operations.

[0003] In summary, a data ledger management method and system for power data value and risk determination can comprehensively integrate, record and manage power data products, including upstream and downstream data links of data products, full life cycle management of data products, and unstructured ledger information, providing necessary management tools for power external data asset management, determining the value of output data, and evaluating the risk factors of output data products. It effectively realizes the unified management of customers, customer needs, and products, realizes the compliance management of external data sources, destinations, and usage, and realizes the standardized management of scattered structured information and unstructured graphic materials, greatly improving the control of external data scene construction, and effectively empowering power grid companies' external data management business. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention is proposed.

[0005] Therefore, the technical problem to be solved by the present invention is: to adopt a comprehensive data collection and objective determination of data value and risk, comprehensively record and manage data related to the entire life cycle of data products, manage key information including original data, processing procedures, result information, release channels and contacts, and provide a method for determining data value and risk, so as to provide enterprises with efficient and transparent data management solutions.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions, a data ledger management method for power data value and risk determination, including: collecting technical information to obtain first-hand data; developing products and registering data; obtaining result data using a method based on the registered data; evaluating products and conducting data risk analysis.

[0007] As a preferred solution of the data ledger management method for power data value and risk determination described in the present invention, the collection of technical information includes collecting the original data required by the system at the beginning of the project and obtaining first-hand data through sorting.

[0008] As a preferred solution of the data ledger management method for power data value and risk determination described in the present invention, the product development and registration includes decomposing the first-hand data, developing the product, and recording and registering it in the system.

[0009] As a preferred solution of the data ledger management method for power data value and risk judgment described in the present invention, the method of obtaining result data using a type of method includes obtaining result data after the data is put on the shelf based on the registered data and adding it to the system.

[0010] As a preferred scheme of the data ledger management method for power data value and risk determination described in the present invention, the product evaluation and data risk analysis include evaluating and scoring the product value, and performing data risk analysis on the product to obtain an evaluation coefficient.

[0011] As a preferred solution of the data ledger management method for power data value and risk judgment described in the present invention, the first-hand data includes data obtained through first-level form filling, specifically including customer information, order amount, product application original data information, listing channels, and call density.

[0012] As a preferred solution of the data ledger management method for power data value and risk determination described in the present invention, the method includes using interface calls, data crawling and data integration.

[0013] Another object of the present invention is to provide a data ledger management system for power data value and risk determination, which realizes comprehensive management and monitoring of the entire life cycle of power data through an integrated modular approach. The system can not only collect and organize raw data through automated tools, but also effectively carry out product development, data analysis and risk assessment, thereby improving the efficiency and transparency of data management, ensuring data security, and providing scientific support and evaluation benchmarks for power data decision-making.

[0014] In order to solve the above technical problems, the present invention provides the following technical solutions: a data ledger management system for power data value and risk determination, comprising: an information collection module, a product development module, a data acquisition module and an evaluation and analysis module;

[0015] The information collection module collects technical information to obtain first-hand data;

[0016] The product development module performs product development and registers data;

[0017] The data acquisition module acquires result data using a method according to the registration data;

[0018] The evaluation and analysis module evaluates the product and performs data risk analysis.

[0019] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a data ledger management method for power data value and risk determination as described above are implemented.

[0020] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of a data ledger management method for power data value and risk determination as described above are implemented.

[0021] Beneficial effects of the present invention: Quantification: Traditional data usage is scored using a quantifiable data value density determination method, which achieves the measurability of value density and standardizes the methods and steps for data product evaluation.

[0022] Control: We have realized the full process control of external data product processing, connecting all aspects of customer demand, product planning, technical implementation, and product interaction in one stop, and enhancing the control of management personnel and third-party personnel over product construction.

[0023] Security: Data usage risks are marked and monitored, and necessary monitoring measures are applied to monitor and identify risks, effectively eliminating risk factors in the process of data delivery and use, and ensuring the security of power data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0025] Figure 1An overall flow chart of a data ledger management method for power data value and risk determination provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0027] Example 1, reference Figure 1 , is an embodiment of the present invention, which provides a data ledger management method for power data value and risk determination, including:

[0028] S1: Collect technical information and obtain first-hand data.

[0029] It should be noted that if Figure 1 As shown in S10, collecting technical information includes collecting the original data required by the system at the beginning of the project, and obtaining first-hand data after sorting. The first-hand data includes data obtained through filling in the first-level form, specifically including customer information, order amount, product application original data information, listing channels, and call density.

[0030] Furthermore, the original data required by the system needs to go through the first-level form, that is, it needs to be filled in by the product manager. If it involves data provided by customers, its authenticity needs to be verified through third-party channels, such as the company name, company operating status, company-related legal judgment documents, etc. The product manager will enter the collected customer data into the ledger system.

[0031] Furthermore, the original first-hand data required by this system needs to be filled in by the product manager in hand. The information filled in includes customer unit information, customer contact information, customer unit certification materials, customer needs, customer order contract number and amount, etc.; the customer's unit information is provided to the customer, and it is necessary to further verify its authenticity through a third-party channel (this system uses data from a well-known external enterprise), mainly to verify the company name, company operating status, company-related legal judgment documents, etc. After the information is verified, the product manager will enter the collected customer data into the formal database of the ledger system.

[0032] In the embodiment of the present application, first-hand data refers to data obtained through first-level form filling, including customer information, order amount, product application original data information, listing channel, and call density. The customer information in the first-hand data covers the basic identification information of the customer, such as the customer's name, address, contact information, and business nature. This information is the basis for subsequent product customization and service provision, and is also used to determine the specific application scenarios and customer needs of the data;

[0033] The order amount reflects the financial scale of the transaction with the customer, embodies the economic value of the business, and is an important basis for evaluating the importance and credit rating of the customer; the accurate entry of the order amount is helpful for the company's internal revenue analysis and financial planning; the original data information of product application includes the detailed parameters of the product configuration, the application environment and the expected performance; the listing channel information involves the platform and method of product sales or service provision, including but not limited to online e-commerce platforms, direct sales teams, distribution partners or specific industry exhibitions; accurate listing channel information helps the marketing team to formulate effective market entry strategies and sales plans; the call density information records the actual frequency of product use in the market, reflecting the market acceptance and user activity of the product; high call density usually means that the product has good market performance and high customer satisfaction;

[0034] In short, the collection and management of first-hand data is a vital part of the data ledger management system for power data value and risk assessment. It provides basic data for the system's operation and directly affects the quality control, risk assessment and value assessment accuracy of data products. Through the collection and management of first-hand data, the system can provide comprehensive and accurate data support to meet the decision-making needs of enterprises in a complex and changing market environment.

[0035] In an optional embodiment, first-hand data can also be implemented in other ways, for example, it can be automatically synchronized to the ledger system through client software, and customers can directly enter data through mobile applications or web interfaces when using products or services, such as number of uses, user feedback, and fault reports; these data are automatically uploaded to the back-end server through a secure network connection, and are organized and summarized as first-hand data and entered into the ledger system; this method relies on fast and accurate customer data to optimize services and respond to market changes.

[0036] In an optional embodiment, first-hand data can also be obtained in other ways, for example, by using advanced data analysis tools to mine and analyze public information on social media and online forums. These tools can analyze market trends, customer preferences and their feedback on products through keyword search, sentiment analysis and other technologies. These first-hand data obtained from non-traditional data sources require further verification and cleaning, but provide an external perspective for market research and product development. For example, by analyzing the frequency of consumers' discussions and emotional tendencies about a product on social platforms, the market acceptance and potential problems of the product can be evaluated. These data are then aggregated and entered into the ledger system.

[0037] In the embodiment of the present application, the first-level form needs to be filled in by the product manager, which includes detailed data collection and verification steps to ensure the accuracy and reliability of the first-hand data obtained; the product manager first collects preliminary data from the customer, including basic customer information such as name, address, contact information and more specific business data such as order amount, product usage, etc.; in addition, the original data information of the product application is collected by directly interfacing with the customer's technical system or by filling in a technical specification form to ensure the detail and applicability of the data at the technical level;

[0038] After collecting this data, the product manager needs to verify the authenticity of the data, which involves working with third-party institutions, such as credit rating agencies or market research companies, to verify the client's business operating status or financial health; including checking the client's legal documents, such as registration certificates, operating licenses and recent court decisions, which are key data for assessing the company's reputation and operating status; after the data is verified, the product manager will organize and enter the data into the system's ledger to form a formal data record; these records will support the product development team in accurate market positioning and product design, and provide an empirical basis for marketing strategies; in addition, the system will also use this data for risk analysis to assess the potential risks associated with each customer or product; data on listing channels and call density are collected through the system's automatic tracking tools, which can monitor the product's performance in the market and the frequency of customer use, thereby providing direct data on product popularity and market demand; this information is crucial for adjusting product strategies, optimizing production processes and improving customer satisfaction; through the first-level form filling and data verification process, the system ensures the high quality of first-hand data and the transparency of operations.

[0039] In an optional embodiment, the primary form can also be implemented in other ways, such as collecting data through telephone surveys or email inquiries. In this way, product managers or data collectors will contact customers directly to collect the required first-hand data through preset questionnaires or interview guides; although this method can quickly and directly obtain information from the source, it may face the risk of incomplete information or lack of objectivity because the customer's subjective consciousness may affect the accuracy of the data, which depends on the customer's availability and willingness to provide information.

[0040] In an optional embodiment, the primary form can also be implemented in other ways, such as through an open data interface (API), which allows the system to automatically extract the required data from the customer's information system, such as order amount, product usage, etc.; although this method can improve the automation and accuracy of data collection, it depends on the technical compatibility of the customer system and the security of the data interface. If the data interface of the customer system is not stable enough or the data protection measures are not sufficient, it may lead to security vulnerabilities or data loss during the data collection process.

[0041] Example 2, reference Figure 1 , is an embodiment of the present invention, which provides a data ledger management method for power data value and risk determination, including:

[0042] S2: Carry out product development and register data.

[0043] It should be noted that if Figure 1 As shown in S20, developing and registering a product includes decomposing the obtained first-hand data, developing the product, and recording and registering the data in the system.

[0044] Furthermore, the account manager is responsible for breaking down the original requirements and handing them over to technical personnel for product development, analyzing the original data tables and data items used, and setting specific matters such as conversion rules, encryption methods, and desensitization methods for the output data, and recording them in the ledger system.

[0045] Furthermore, the account manager is responsible for breaking down the original requirements and working with the back-end technical staff to develop data products, analyzing and sorting out the original data tables and data items used in the product, recording the business domain, business system name, asset card management department, data usage security level, and data asset ledger information of the usage table, and registering specific information such as data model conversion processing rules, encryption methods, desensitizing methods, product delivery channels, etc. in the ledger system.

[0046] S3: According to the registration data, a method is used to obtain result data.

[0047] It should be noted that if Figure 1As shown in S30, obtaining result data using a method includes obtaining result data after data is put on the shelf based on registered data and adding it to the system, wherein the method includes using interface calls, data crawling and data integration.

[0048] Furthermore, based on the registered information, a type of method, namely interface call, data crawling and data integration, is used to obtain the data application process and the security level of the referenced data from basic platforms such as the professional data asset management platform within the power grid company and the government data sharing and exchange platform, and obtain the result data after the data is put on the shelves, and enter it into the ledger system as necessary supplementary information.

[0049] Furthermore, according to the registered information of S10 and S20 above, the interface call / data integration and other methods are used to obtain the data application process and approval data from the basic platforms such as the dedicated data asset management platform within the power grid company, the government data sharing and exchange platform; the security level of the referenced data table / data item; and the call result data after the data is put on the shelf. The above-mentioned service program of the system is manually triggered by the system to enter the obtained supplementary information into this system.

[0050] Example 3, reference Figure 1 , is an embodiment of the present invention, which provides a data ledger management method for power data value and risk determination, including:

[0051] S4: Evaluate products and conduct data risk analysis.

[0052] It should be noted that if Figure 1 As shown in S40 and S41, product evaluation and data risk analysis include product value evaluation and scoring, and data risk analysis of the product to obtain an evaluation coefficient.

[0053] Furthermore, the value of the product is evaluated based on the dimensions of customer information, order amount, product application original data information, listing channel, and call density; and the multi-dimensional data is scored individually (0-10 points). Where S i is the individual dimension score, P i It is the weight index of this dimension;

[0054] Data risk analysis of products is conducted based on customer information, product application data information, data encryption, data desensitization, data transmission network, and listing channels. The evaluation coefficient of the single data risk analysis result indicator is obtained, and the total score is obtained by multiplying the single coefficients. S i are individual dimension scores.

[0055] Furthermore, the individual scoring rules for product value evaluation are shown in Table 1 below:

[0056] Table 1 Single scoring rules for product value evaluation

[0057]

[0058] The individual scoring rules for data risk analysis are shown in Table 2 below:

[0059] Table 2 Single scoring rules for data risk analysis

[0060]

[0061] Finally, if Figure 1 As shown in S90, the system displays the information entered in the above steps and the results of the model evaluation. In addition, it also supports the export of HTML documents or report information. The specific content covers the product's value density and related dimension radar charts, risk factors and related dimension radar charts; after each product manual is generated, it is necessary to manually confirm the release version. The manager can modify the unpublished manual and choose to publish the corresponding modified content; when the basic information related to this product changes, the manager will be prompted to make timely modifications.

[0062] The above is a schematic scheme of a data ledger management method for power data value and risk determination in this embodiment. It should be noted that the technical scheme of the system of the data ledger management method for power data value and risk determination and the technical scheme of the data ledger management method for power data value and risk determination described above belong to the same concept. The details not described in detail in the technical scheme of the data ledger management method for power data value and risk determination in this embodiment can be found in the description of the technical scheme of the data ledger management method for power data value and risk determination described above.

[0063] Embodiment 4 is an embodiment of the present invention, which provides a data ledger management system for power data value and risk determination, including: an information collection module, a product development module, a data acquisition module, and an evaluation and analysis module;

[0064] The information collection module collects technical information to obtain first-hand data;

[0065] The product development module performs product development and registers data;

[0066] The data acquisition module acquires result data using a method according to the registration data;

[0067] The evaluation and analysis module evaluates the product and performs data risk analysis.

[0068] This embodiment also provides a computing device, which is applicable to a data ledger management method for power data value and risk determination, including:

[0069] A memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a data ledger management method for power data value and risk determination as proposed in the above embodiment.

[0070] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, a data ledger management method for determining the value and risk of power data as proposed in the above embodiment is implemented.

[0071] The storage medium proposed in this embodiment and the data ledger management method for power data value and risk determination proposed in the above embodiment belong to the same inventive concept. The technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0072] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0073] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0074] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A data ledger management method for power data value and risk determination, characterized by: include: Collect technical information and obtain first-hand data; Conduct product development and register data; Based on the registration data, a method is used to obtain the result data; Conduct product evaluation and data risk analysis.

2. A data ledger management method for power data value and risk determination as claimed in claim 1, characterized in that: The collection of technical information includes collecting the original data required by the system at the beginning of the project and obtaining first-hand data through sorting.

3. A data ledger management method for power data value and risk determination as claimed in claim 2, characterized in that: The product development and registration includes decomposing the first-hand data, developing the product, and recording and registering it in the system.

4. A data ledger management method for power data value and risk determination as claimed in claim 3, characterized in that: The method of obtaining result data in a certain manner includes obtaining result data after the data is put on the shelf according to the registered data and supplementing the data into the system.

5. A data ledger management method for power data value and risk determination as claimed in claim 4, characterized in that: The product evaluation and data risk analysis include evaluating and scoring the product value, and performing data risk analysis on the product to obtain an evaluation coefficient.

6. A data ledger management method for power data value and risk determination as claimed in claim 5, characterized in that: The first-hand data includes data obtained through filling in the first-level form, specifically including customer information, order amount, product application original data information, listing channels, and call density.

7. A data ledger management method for power data value and risk determination as claimed in claim 6, characterized in that: The method includes using interface calls, data crawling and data integration.

8. A data ledger management system based on the power data value and risk determination according to any one of claims 1 to 7, characterized in that: include: Information collection module, product development module, data acquisition module, and evaluation and analysis module; The information collection module collects technical information to obtain first-hand data; The product development module performs product development and registers data; The data acquisition module acquires result data using a method according to the registration data; The evaluation and analysis module evaluates the product and performs data risk analysis.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a data ledger management method for power data value and risk determination described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a data ledger management method for power data value and risk determination described in any one of claims 1 to 7 are implemented.

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