Water conservancy industry data index management method, equipment and medium

Abstract

The invention discloses a water conservancy industry data index management method and device and a medium, and belongs to the technical field of big data. The method comprises the following steps: connecting a plurality of water conservancy related databases to obtain business requirements, business indexes and technical indexes in the plurality of water conservancy related databases; processing the business requirements, the business indexes and the technical indexes based on a preset natural language processing algorithm to generate a standard index database; wherein the standard index database comprises a business database and a technical database; obtaining a to-be-processed business demand, and processing the to-be-processed business demand and the standard index database based on a natural language processing algorithm to generate a to-be-processed technical index; managing the to-be-processed technical indexes based on a preset index management platform; and evaluating the to-be-processed technical index based on a preset index evaluation standard. According to the method, the water conservancy data among the multiple databases can be integrated, the index definition is unified, and the reusability of the water conservancy data is improved.

Description

Technical Field

[0001] The present application relates to the technical field of big data, and in particular to a method, equipment and medium for managing data indicators in the water conservancy industry. Background Art

[0002] In the water conservancy industry, with the continuous development and popularization of information technology, the amount of data involved in water conservancy business has increased dramatically, and the data types have become increasingly diversified. These data cover many aspects, from business needs, business indicators to technical indicators, and play a vital role in the decision-making and management of the water conservancy industry. However, in actual applications, the water conservancy industry faces the problems of difficulty in integrating water conservancy data between multiple databases, inconsistent indicator definitions, and poor data reusability.

[0003] Therefore, there is an urgent need for a water conservancy industry data indicator management method to solve the above problems. Summary of the invention

[0004] The embodiments of the present application provide a water conservancy industry data indicator management method, device and medium to solve the following technical problems: how to integrate water conservancy data among multiple databases, how to unify indicator definitions, and how to improve the reusability of water conservancy data.

[0005] In a first aspect, an embodiment of the present application provides a method for managing data indicators in the water conservancy industry, characterized in that the method includes: connecting multiple water conservancy-related databases to obtain business needs, business indicators and technical indicators in multiple water conservancy-related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and there is a correlation between business indicators and technical indicators; processing business needs, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; obtaining the business needs to be processed, and processing the business needs to be processed and the standard indicator database based on the natural language processing algorithm to generate the technical indicators to be processed; evaluating the technical indicators to be processed based on the preset indicator evaluation standard to generate an indicator score.

[0006] In one implementation of the present application, business requirements, business indicators and technical indicators are processed based on a preset natural language processing algorithm to generate a standard indicator database, specifically including: processing business requirements and business indicators based on a natural language processing algorithm to generate unit business requirements and unit business indicators; associating unit business requirements with unit business indicators to generate a business database; generating a technical database based on the association between business indicators and technical indicators; integrating business databases and technical databases to generate a standard indicator database.

[0007] In one implementation of the present application, business needs to be processed are obtained, and the business needs to be processed and the standard indicator database are processed based on a natural language processing algorithm to generate technical indicators to be processed, specifically including: processing the business needs to be processed and the business database based on a natural language processing algorithm to generate business indicators to be processed; comparing the standard indicator database based on the business indicators to be processed to determine the technical indicators to be reviewed; reviewing and modifying the technical indicators to be reviewed to determine the technical indicators to be processed.

[0008] In one implementation of the present application, the business needs to be processed and the business database are processed based on a natural language processing algorithm to generate business indicators to be processed, specifically including: processing the business needs to be processed based on a natural language processing algorithm to generate sub-business units to be processed; comparing the business database based on the sub-business units to be processed to determine a first sub-business indicator to be reviewed; wherein the first sub-business indicator to be reviewed is a sub-business indicator included in the business database; generating a second sub-business indicator to be reviewed based on the first sub-business indicator to be reviewed and the sub-business unit to be processed; integrating the first sub-business indicator to be reviewed and the second sub-business indicator to be reviewed into a business indicator to be reviewed; reviewing and modifying the business indicator to be reviewed to generate a business indicator to be processed.

[0009] In one implementation of the present application, a second sub-business indicator to be reviewed is generated based on the first sub-business indicator to be reviewed and the sub-business unit to be processed, specifically including: comparing the first sub-business indicator to be reviewed based on the sub-business unit to be processed to determine the remaining sub-business units; generating the second sub-business indicator to be reviewed based on the remaining sub-business units.

[0010] In one implementation of the present application, the technical indicators to be processed are evaluated based on preset indicator evaluation standards to generate indicator scores, specifically including: determining the indicator evaluation standards; wherein the indicator evaluation standards include at least one of the following: effectiveness, reliability, sensitivity and operability; retrieving historical data of the technical indicators to be processed; comparing the indicator evaluation standards based on historical data to determine the indicator scores of the technical indicators to be processed.

[0011] In one implementation of the present application, the method further includes: constructing an indicator management platform and connecting the indicator management platform to a standard indicator database; and reviewing and managing the business indicators and technical indicators to be reviewed based on the indicator management platform.

[0012] In one implementation of the present application, the method further includes: determining the database types of multiple water conservancy related databases; and comparing the preset interface data table based on the database type to determine the interface type.

[0013] In the second aspect, the embodiment of the present application also provides a data indicator management device for the water conservancy industry, characterized in that the device includes: at least one processor; and a memory connected to communication with the at least one processor; wherein the memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can: connect to multiple water conservancy-related databases to obtain business needs, business indicators and technical indicators in multiple water conservancy-related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and there is a correlation between business indicators and technical indicators; process business needs, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; obtain the business needs to be processed, and process the business needs to be processed and the standard indicator database based on the natural language processing algorithm to generate the technical indicators to be processed; evaluate the technical indicators to be processed based on the preset indicator evaluation standard to generate an indicator score.

[0014] In the third aspect, the embodiment of the present application also provides a non-volatile computer storage medium for water conservancy industry data indicator management, which stores computer executable instructions, characterized in that the computer executable instructions are set to: connect multiple water conservancy-related databases to obtain business needs, business indicators and technical indicators in multiple water conservancy-related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and there is a correlation between business indicators and technical indicators; based on a preset natural language processing algorithm, process business needs, business indicators and technical indicators to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; obtain the business needs to be processed, and process the business needs to be processed and the standard indicator database based on the natural language processing algorithm to generate the technical indicators to be processed; evaluate the technical indicators to be processed based on the preset indicator evaluation standard to generate an indicator score.

[0015] The present application provides a water conservancy industry data indicator management method, device and medium, which have at least the following technical effects:

[0016] 1. By connecting multiple water conservancy-related databases, unified collection and management of business needs, business indicators and technical indicators are achieved, which can integrate scattered data resources, avoid data islands, and lay the foundation for unified management and utilization of data.

[0017] 2. Use preset natural language processing algorithms to process business needs, business indicators and technical indicators to generate standardized business databases and technical databases, which can achieve data standardization and normalization.

[0018] 3. An evaluation system based on preset indicator evaluation standards has been established to evaluate the generated technical indicators to be processed. It can comprehensively and objectively evaluate the pros and cons of technical indicators and provide strong support for subsequent indicator optimization and application.

[0019] 4. It can provide scientific and accurate data support for business decisions in the water conservancy industry. This not only helps to improve the efficiency of decision-making, but also enhances the accuracy and reliability of decision-making, and promotes the informatization and intelligent development of the water conservancy industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0021] Figure 1 A flow chart of a water conservancy industry data indicator management method provided in an embodiment of the present application;

[0022] Figure 2 A schematic diagram of the internal structure of a water industry data indicator management device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0024] The embodiments of the present application provide a water conservancy industry data indicator management method, device and medium to solve the following technical problems: how to integrate water conservancy data among multiple databases, how to unify indicator definitions, and how to improve the reusability of water conservancy data.

[0025] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0026] Figure 1 A flow chart of water conservancy industry data indicator management provided in the embodiment of the present application. Figure 1 As shown, a water conservancy industry data indicator management method provided by an embodiment of the present application specifically includes the following steps:

[0027] Step 1: Connect multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in multiple water conservancy related databases; among them, technical indicators include atomic indicators, derived indicators and derived indicators, and business indicators and technical indicators are correlated.

[0028] Business needs: refers to the specific needs for data support put forward by different departments or positions within the water conservancy industry. These needs may involve water resources management, flood prevention and disaster reduction, water quality monitoring and other aspects.

[0029] Business indicators: They are key numerical indicators for measuring the effectiveness of water conservancy business activities, used to reflect business conditions and the achievement of business goals. These indicators are usually proposed by business departments based on actual needs and have clear business meanings and calculation methods.

[0030] Technical indicators: are specific implementation methods of business indicators, including atomic indicators, derived indicators and derived indicators. Atomic indicators are the most basic and indivisible indicators, such as water level and flow rate; derived indicators are obtained by adding time or business restrictions to atomic indicators; derived indicators are comprehensive indicators obtained by complex logical calculations based on atomic indicators or derived indicators. There is a clear correlation between technical indicators and business indicators, and technical indicators are used to realize the specific calculation and display of business indicators.

[0031] Determine the database types of multiple water conservancy related databases. Compare the preset interface data tables based on the database types to determine the interface type.

[0032] Step 2: Process business requirements, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database.

[0033] By using natural language processing algorithms to deeply analyze and process the collected business needs, business indicators and technical indicators, a standardized and structured indicator database can be built to facilitate subsequent data management and application.

[0034] First, business requirements and business indicators are processed based on natural language processing algorithms to generate unit business requirements and unit business indicators.

[0035] Segment the business requirements and business indicators texts, and tag each word with parts of speech to distinguish nouns, verbs, adjectives, etc. Use named entity recognition technology to extract key entities from the text, such as project names, department names, indicator names, etc. Use syntactic analysis and semantic role labeling and other technologies to understand the semantic relationships in the text and identify the specific content, scope, and restrictions of business requirements and business indicators. Split the identified business requirements and business indicators into smaller, manageable units, which are the basic building blocks for building a standard indicator database, such as monitoring traffic.

[0036] Further, the unit business requirements are associated with the unit business indicators to generate a business database.

[0037] According to the semantic content of business requirements and business indicators, the association relationship between unit business requirements and unit business indicators is established. For example, a business requirement may correspond to multiple business indicators, which are used to measure the degree of realization of the requirement.

[0038] The matched unit business requirements and unit business indicators are organized to form a business database. The business database reflects the logical structure between business requirements and business indicators.

[0039] Furthermore, a technical database is generated based on the correlation between the business indicators and the technical indicators.

[0040] According to the preset association rules or mapping tables between business indicators and technical indicators, the business indicators in the business database are mapped to the corresponding technical indicators. For each technical indicator, according to its type (atomic indicator, derived indicator, derivative indicator) and calculation rules, the corresponding data source, calculation formula and parameters are configured. The configured technical indicators and their related information are organized to form a technical database. The technical database contains all the technical details required to implement the business indicators.

[0041] Furthermore, the business database and technical database are integrated to generate a standard indicator database.

[0042] Integrate the business database and the technical database to form a complete and standardized indicator database. The standard indicator database not only contains the business requirements, the definition and association of business indicators, but also contains the technical details and configuration information required to implement these indicators.

[0043] Step 3: Obtain the pending business requirements, and process the pending business requirements and the standard indicator database based on the natural language processing algorithm to generate the pending technical indicators.

[0044] First, the business requirements and business database to be processed are processed based on the natural language processing algorithm to generate the business indicators to be processed.

[0045] A1. Process the pending business requirements based on natural language processing algorithms to generate pending business sub-units.

[0046] Use a pre-trained natural language processing model to perform word segmentation, part-of-speech tagging and syntactic analysis on the input business needs to be processed. It can be understood that this natural language processing model is the same model as the natural language processing model in step 2. According to the key information in the business needs (such as verbs, noun phrases, etc.), it is split into multiple logically relatively independent sub-business units to be processed.

[0047] A2. Compare the business database based on the sub-business unit to be processed to determine a first sub-business indicator to be reviewed; wherein the first sub-business indicator to be reviewed is a sub-business indicator included in the business database.

[0048] All sub-business indicators in the business database are traversed and matched with the sub-business units to be processed. If a sub-business unit to be processed is highly similar or completely consistent with a sub-business indicator in the business database, the sub-business indicator is marked as the first sub-business indicator to be reviewed.

[0049] A3. Generate a second sub-business indicator to be reviewed based on the first sub-business indicator to be reviewed and the sub-business unit to be processed.

[0050] The first sub-business indicator to be reviewed is compared based on the sub-business units to be processed to determine the remaining sub-business units, and the second sub-business indicator to be reviewed is generated based on the remaining sub-business units.

[0051] For the pending sub-business units that do not find direct matches in the business database, further analysis is performed. Through semantic similarity calculation or entity linking technology in natural language processing, attempts are made to associate these sub-business units with relevant indicators in the business database to generate the second pending sub-business indicators. If the second pending sub-business indicators cannot be generated through existing indicators, manual intervention is performed to create new business indicators based on business logic and experience.

[0052] A4. Integrate the first sub-business indicator to be reviewed and the second sub-business indicator to be reviewed into the business indicator to be reviewed.

[0053] All the sub-business indicators to be reviewed (including the first sub-business indicator to be reviewed and the second sub-business indicator to be reviewed) obtained through comparison and reasoning are integrated into a set of business indicators to be reviewed.

[0054] A5. Review and modify the business indicators to be reviewed to generate business indicators to be processed.

[0055] Conduct manual or automated review of the set of business indicators to be reviewed. The review content includes the accuracy, completeness, rationality and matching degree of the indicators with business requirements. Make necessary modifications and adjustments to the indicators based on the review results, and finally generate the business indicators to meet the business requirements to be processed.

[0056] Furthermore, the technical indicators to be reviewed are determined based on the comparison of the standard indicator database with the business indicators to be processed.

[0057] Match and compare the pending business indicators with the technical indicators in the standard indicator database. Find the corresponding pending technical indicators based on the preset association between business indicators and technical indicators (such as mapping tables, rule sets, etc.).

[0058] Further, the technical indicators to be reviewed are reviewed and modified to determine the technical indicators to be processed.

[0059] Further review and verify the technical indicators to be audited. Check whether the implementation method, calculation logic, data source, etc. of the technical indicators meet the business requirements and technical specifications. Adjust and optimize the technical indicators based on the audit results. After review and modification, finally determine the pending technical indicators that meet the pending business requirements.

[0060] Step 4: Evaluate the technical indicators to be processed based on the preset indicator evaluation criteria to generate indicator scores.

[0061] First, determine the indicator evaluation criteria; the indicator evaluation criteria include at least one of the following: effectiveness, credibility, sensitivity and operability.

[0062] Effectiveness: Evaluate whether the technical indicators can accurately reflect business needs and how effective they are in actual applications.

[0063] Credibility: Measures whether the data source of technical indicators is reliable, whether the calculation logic is rigorous, and the credibility of the results.

[0064] Sensitivity: Examines the response speed and sensitivity of technical indicators to business changes, that is, whether they can capture business changes in a timely manner and make corresponding adjustments.

[0065] Operability: Evaluate the difficulty of achieving technical indicators, operational efficiency, and stability to ensure that they can run smoothly in actual deployment.

[0066] Furthermore, historical data of the technical indicator to be processed is retrieved, and historical data related to the technical indicator to be processed is retrieved from a data warehouse, a database or a real-time data stream.

[0067] Furthermore, the indicator evaluation criteria are compared based on historical data to determine the indicator score of the technical indicator to be processed.

[0068] Effectiveness score: By analyzing the correlation between historical data and actual business results, determine whether the technical indicators effectively reflect the business situation. For example, use statistical methods (such as correlation coefficient, variance analysis, etc.) to quantify the evaluation.

[0069] Credibility scoring: Check the source and quality of historical data and evaluate the consistency and accuracy of calculation logic. For example, refer to historical error rates, data anomaly detection and other indicators for scoring.

[0070] Sensitivity score: observe the speed and magnitude of the technical indicators' response to business changes in historical data and evaluate their sensitivity. For example, quantitative evaluation can be performed by comparing the technical indicator values ​​before and after business changes.

[0071] Operability score: Consider the implementation cost of technical indicators, running time and system resource usage. For example, refer to system logs, monitoring data and other indicators for scoring.

[0072] Take a weighted average of the scores of effectiveness, reliability, sensitivity and operability (or set different weights according to business needs) to obtain a comprehensive score for the technical indicators to be processed.

[0073] Evaluate and provide feedback on the technical indicators based on the scoring results, and put forward improvement suggestions or optimization plans. If the scoring results do not meet business needs or preset standards, it may be necessary to redesign or adjust the technical indicators and repeat the above evaluation process.

[0074] Build an indicator management platform and connect it to the standard indicator database. Review and manage pending business indicators and pending technical indicators based on the indicator management platform. When the indicator management platform is started, all existing indicator data is automatically imported from the standard indicator database. Set up an audit process in the indicator management platform to review the submitted business indicators and technical indicators. Review the rationality and accuracy of the indicators based on business needs and the specifications of the standard indicator database. After the audit is passed, the indicators will be officially released to the indicator service for other systems to call. The indicator management platform can uniformly manage the published indicators, including the online and offline operations of the indicators and the tracking of modification records.

[0075] The above is an embodiment of the method proposed in this application. Based on the same inventive concept, the embodiment of this application also provides a water conservancy industry data indicator management device, whose structure is as follows: Figure 2 shown.

[0076] Figure 2 This is a schematic diagram of the internal structure of a water conservancy industry data indicator management device provided in an embodiment of the present application. Figure 2 As shown, the device includes:

[0077] at least one processor 201;

[0078] and, a memory 202 communicatively connected to the at least one processor;

[0079] The memory 202 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 201 to enable at least one processor 201 to:

[0080] Connect multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in multiple water conservancy related databases; technical indicators include atomic indicators, derived indicators and derived indicators, and business indicators and technical indicators are associated; process business requirements, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; the standard indicator database includes a business database and a technical database; obtain the business requirements to be processed, and process the business requirements to be processed and the standard indicator database based on a natural language processing algorithm to generate technical indicators to be processed; evaluate the technical indicators to be processed based on a preset indicator evaluation standard to generate an indicator score. .

[0081] Some embodiments of the present application provide corresponding Figure 1 A non-volatile computer storage medium for water conservancy industry data indicator management, storing computer executable instructions, the computer executable instructions are set to: connect multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in multiple water conservancy related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and there is a correlation between business indicators and technical indicators; based on a preset natural language processing algorithm, process business requirements, business indicators and technical indicators to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; obtain the business requirements to be processed, and process the business requirements to be processed and the standard indicator database based on the natural language processing algorithm to generate the technical indicators to be processed; evaluate the technical indicators to be processed based on the preset indicator evaluation standard to generate an indicator score. .

[0082] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0083] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0084] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0085] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0088] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0089] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0090] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0091] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0092] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A water conservancy industry data indicator management method, characterized in that: The method comprises: Connecting multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in the multiple water conservancy related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and the business indicators are associated with the technical indicators; Processing the business requirements, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; Acquire the business requirements to be processed, and process the business requirements to be processed and the standard indicator database based on the natural language processing algorithm to generate technical indicators to be processed; The technical indicators to be processed are evaluated based on preset indicator evaluation criteria to generate indicator scores.

2. A water conservancy industry data indicator management method according to claim 1, characterized in that: The business requirements, business indicators and technical indicators are processed based on a preset natural language processing algorithm to generate a standard indicator database, which specifically includes: Processing the business requirements and business indicators based on a natural language processing algorithm to generate unit business requirements and unit business indicators; Associating the unit business requirements with the unit business indicators to generate the business database; Generate a technical database based on the association relationship between the business indicators and the technical indicators; The business database and the technical database are integrated to generate a standard indicator database.

3. A water conservancy industry data index management method according to claim 1, characterized in that: Obtaining the business requirements to be processed, and processing the business requirements to be processed and the standard indicator database based on the natural language processing algorithm to generate technical indicators to be processed, specifically including: Processing the business requirements to be processed and the business database based on the natural language processing algorithm to generate business indicators to be processed; Comparing the standard indicator database based on the business indicator to be processed to determine the technical indicator to be reviewed; Review and modify the technical indicators to be reviewed to determine the technical indicators to be processed.

4. A water conservancy industry data index management method according to claim 3, characterized in that: Processing the business requirements to be processed and the business database based on the natural language processing algorithm to generate business indicators to be processed specifically includes: Processing the business requirements to be processed based on the natural language processing algorithm to generate sub-business units to be processed; Comparing the business database based on the sub-business unit to be processed to determine a first sub-business indicator to be reviewed; wherein the first sub-business indicator to be reviewed is a sub-business indicator included in the business database; Generate a second sub-business indicator to be reviewed based on the first sub-business indicator to be reviewed and the sub-business unit to be processed; Integrate the first pending-review sub-business indicator and the second pending-review sub-business indicator into a pending-review business indicator; Review and modify the business indicators to be reviewed to generate business indicators to be processed.

5. A water conservancy industry data index management method according to claim 4, characterized in that: Generating a second sub-business indicator to be reviewed based on the first sub-business indicator to be reviewed and the sub-business unit to be processed specifically includes: Based on the sub-business units to be processed, the first sub-business indicator to be reviewed is compared to determine the remaining sub-business units; A second sub-business indicator to be reviewed is generated based on the remaining sub-business units.

6. A water conservancy industry data index management method according to claim 1, characterized in that: The technical indicators to be processed are evaluated based on the preset indicator evaluation criteria to generate indicator scores, specifically including: Determine the indicator evaluation criteria; wherein the indicator evaluation criteria include at least one of the following: effectiveness, credibility, sensitivity and operability; Retrieving historical data of the technical indicator to be processed; The indicator evaluation standard is compared based on the historical data to determine the indicator score of the technical indicator to be processed.

7. A water conservancy industry data index management method according to claim 4, characterized in that: The method further comprises: Building an indicator management platform, and connecting the indicator management platform with the standard indicator database; The business indicators to be reviewed and the technical indicators to be reviewed are reviewed and managed based on the indicator management platform.

8. A water conservancy industry data index management method according to claim 1, characterized in that: The method further comprises: Determining the database types of the plurality of water conservancy related databases; The preset interface data table is compared based on the database type to determine the interface type.

9. A water conservancy industry data index management device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Connecting multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in the multiple water conservancy related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and the business indicators are associated with the technical indicators; Processing the business requirements, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; Acquire the business requirements to be processed, and process the business requirements to be processed and the standard indicator database based on the natural language processing algorithm to generate technical indicators to be processed; The technical indicators to be processed are evaluated based on preset indicator evaluation criteria to generate indicator scores.

10. A non-volatile computer storage medium for water conservancy industry data index management, storing computer executable instructions, characterized in that: The computer executable instructions are configured to: Connecting multiple water conservancy related databases to obtain business requirements, business indicators and technical indicators in the multiple water conservancy related databases; wherein the technical indicators include atomic indicators, derived indicators and derived indicators, and the business indicators are associated with the technical indicators; Processing the business requirements, business indicators and technical indicators based on a preset natural language processing algorithm to generate a standard indicator database; wherein the standard indicator database includes a business database and a technical database; Acquire the business requirements to be processed, and process the business requirements to be processed and the standard indicator database based on the natural language processing algorithm to generate technical indicators to be processed; The technical indicators to be processed are evaluated based on preset indicator evaluation criteria to generate indicator scores.

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