Data technology analysis application method based on nuclear power equipment information identification and computer readable storage medium

Abstract

The invention discloses a data technology analysis application method based on nuclear power equipment information identification and a computer readable storage medium, and the method comprises the following steps: S1, obtaining original data of different nuclear power equipment, and storing the original data in an original data layer; s2, acquiring original data of different nuclear power equipment from the original data acquisition layer, and performing standardization conversion through a standardization rule to obtain a corresponding standard code; and S3, performing data conversion on the standard codes to obtain corresponding standard data, and storing the standard data in a data interaction layer to realize data technology analysis application based on nuclear power equipment information identification. According to the invention, comprehensive summarization and precise management of nuclear power equipment information are realized, and the situation of nuclear power equipment search errors and misoperation is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power equipment data analysis, and in particular to a data technology analysis application method based on nuclear power equipment information identification and a computer-readable storage medium. Background Art

[0002] In the critical field of nuclear power, the management and maintenance of equipment information is of paramount importance, directly impacting the safe and stable operation of nuclear power facilities and their overall profitability. Traditionally, the traditional model for managing equipment information has relied heavily on manual record-keeping and paper documentation, resulting in significant drawbacks. On the one hand, manual record-keeping is prone to oversight, leading to inaccurate information; on the other hand, updating information is time-consuming and time-sensitive, and subsequent tracing of equipment information is cumbersome and difficult.

[0003] With the rapid development of QR code technology, QR code labels are gradually being used in nuclear power equipment information management to ensure the normal operation of nuclear power equipment. However, existing QR code label equipment information recognition technology has significant shortcomings, such as low recognition accuracy and low data processing efficiency, which makes it difficult to meet the growing demand for refined and efficient nuclear power equipment management. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that, in response to at least one defect of the related technology mentioned in the above background technology: the existing QR code sign equipment information recognition technology has unsatisfactory recognition accuracy and low data processing efficiency, a data technology analysis application method based on nuclear power equipment information recognition and a computer-readable storage medium are provided.

[0005] The technical solution adopted by the present invention to solve the technical problem is to construct a data technology analysis application method based on nuclear power equipment information identification, including the following steps:

[0006] S1. Obtain the original data of different nuclear power equipment and store it in the original data layer;

[0007] S2. Obtaining original data of different nuclear power equipment from the original data acquisition layer, and performing standardization conversion according to standardization rules to obtain corresponding standard codes;

[0008] S3. Perform data conversion on the standard code to obtain corresponding standard data, and store the standard data in a data interaction layer to implement data technology analysis application based on nuclear power equipment information identification.

[0009] In some embodiments, step S2 includes:

[0010] S21. Read the original data of the different nuclear power equipment and generate standardized rules through standardized conversion logic;

[0011] S22. Performing standardization conversion on the original data of the different nuclear power equipment according to the standardization rules to obtain the standard code.

[0012] In some embodiments, step S22 further includes:

[0013] S221, determining whether the original data of the different nuclear power equipment conforms to the standardization rules;

[0014] S222: If yes, then segment the original data of the different nuclear power equipment to obtain a digital array and a letter array;

[0015] S223. Compose the standard code according to the number array and the letter array.

[0016] In some embodiments, step S221 further includes:

[0017] Determining whether the length of the original data of the different nuclear power equipment meets a preset length;

[0018] Determining whether the original data of the different nuclear power equipment does not contain any characters other than letters and numbers;

[0019] Determine whether the original data of the different nuclear power equipment contains numbers of a preset length.

[0020] In some embodiments, step S222 further includes:

[0021] Cutting the original data of the different nuclear power equipment according to the numbers to obtain the digital array consisting of digital character strings;

[0022] The original data of the different nuclear power equipment are cut according to letters to obtain the letter array composed of letter strings.

[0023] In some embodiments, step S223 further includes:

[0024] The standard code is formed by obtaining the digital string from the digital array and the letter string from the letter array.

[0025] In some embodiments, step S1 further includes:

[0026] Establish connections with multiple nuclear power equipment, obtain original data of the different nuclear power equipment, and store them in the original data layer.

[0027] In some embodiments, step S3 further includes:

[0028] The standard code is converted to obtain corresponding standard data, and the standard data is stored in the form of a table in the data interaction layer to realize data technology analysis application based on nuclear power equipment information identification.

[0029] In some embodiments, step S3 further includes:

[0030] The standard data of the data interaction layer is regularly triggered by a preset scheduling tool and loaded into the application data layer for business application of the standard data.

[0031] The present invention also constructs a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the data technology analysis and application method based on nuclear power equipment information identification described above is implemented.

[0032] By implementing the present invention, the following beneficial effects are achieved:

[0033] The present invention obtains the original data of different nuclear power equipment and stores it in the original data layer, then obtains the original data of different nuclear power equipment from the original data layer, and performs standardization conversion through standardization rules to obtain corresponding standard codes, finally performs data conversion on the standard codes to obtain corresponding standard data, and stores the standard data in the data interaction layer to realize data technology analysis application based on nuclear power equipment information identification, thereby realizing comprehensive aggregation and precise management of nuclear power equipment information, and avoiding the occurrence of nuclear power equipment search errors and misoperations. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0035] Figure 1 A flow chart showing an embodiment of a data technology analysis and application method based on nuclear power equipment information identification according to the present invention is shown;

[0036] Figure 2 A schematic diagram showing the technical architecture of an embodiment of a data technology analysis and application method based on nuclear power equipment information identification according to the present invention;

[0037] Figure 3 The flowchart of step S22 of an embodiment of the data technology analysis application method based on nuclear power equipment information identification of the present invention is shown. DETAILED DESCRIPTION

[0038] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described in detail with reference to the accompanying drawings.

[0039] It should be noted that the flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all content and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0040] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0041] like Figure 1 As shown, some embodiments of the present invention disclose a data technology analysis application method based on nuclear power equipment information identification, comprising the following steps:

[0042] S1. Obtain the original data of different nuclear power equipment and store it in the original data layer;

[0043] S2. Obtaining the original data of different nuclear power equipment from the original data acquisition layer, and performing standardization conversion according to standardization rules to obtain corresponding standard codes;

[0044] S3. Convert the standard code to obtain the corresponding standard data, and store the standard data in the data interaction layer to realize data technology analysis application based on nuclear power equipment information identification.

[0045] The system utilizes the HADOOP platform to aggregate and deeply analyze big data related to equipment. By using mobile software to scan QR codes, barcodes, and other labels on equipment, key information such as equipment operating parameters, maintenance status, status change trends, and key operational and maintenance points can be easily and quickly obtained. Managers, operators, and equipment management personnel can all gain real-time access to nuclear power equipment information, quickly query important data, and build a dynamic information archive for nuclear power equipment. This technical solution successfully integrates, mobilizes, and facilitates the use of nuclear power equipment information, effectively improving on-site human error prevention and control, and significantly enhancing the reliability and efficiency of equipment management. It holds great promise for widespread application in the field of nuclear power equipment management.

[0046] The core system is built as the core of the application layer of the nuclear power equipment management big data platform. By integrating multiple systems, massive data from different sources are collected and aggregated, and then data modeling and extraction are carried out to ultimately achieve centralized display and query of data, effectively ensuring the consistency, integrity and compliance of the data, and greatly improving the value of data query.

[0047] Each device is assigned a unique QR code or barcode to comprehensively summarize nuclear power equipment information, thereby achieving precise management of nuclear power equipment, effectively avoiding equipment search errors and misoperation, and effectively improving the reliability management level of nuclear power equipment.

[0048] like Figure 2 In some embodiments shown, the technical architecture is divided into four layers: data source system layer, data transmission layer, data processing layer, and data application layer.

[0049] The data source system layer is divided according to the business data currently being connected to peripheral systems. This primarily includes nuclear power equipment status data, basic nuclear power equipment data, and other nuclear power equipment-related indicator data. This includes dozens of systems across multiple database system types. By adding interface connection configurations to the source system on the Hadoop platform and connecting through a full-database read-only authorization account or by creating a view authorization account, connectivity between the data source system layer and the data transmission layer is achieved. Multiple existing information system platforms cover data from various business areas of nuclear power equipment management. The dispersed data now needs to be extracted, converted, and loaded, integrating multiple platforms into a single platform. Connections are established with databases through various connection methods, acquiring business data from the entire nuclear power equipment lifecycle from databases and microservices. This includes both structured data and semi-structured and unstructured data such as text and PDFs, providing comprehensive and effective data support for formatted data.

[0050] Among them, structured data mainly uses preset tools to copy and synchronize data from structured and unstructured systems to the database in real time or at preset time. Since the amount of structured data is very large, there are many logically related data base tables, and full-scale related operations are required, a timestamp field needs to be added to the structured data table during synchronization. The purpose is to be able to synchronize data from the database to the big data platform based on timestamp increments through data synchronization and integration tools in the big data platform, reduce resource consumption of the HADOOP platform, and improve performance.

[0051] Unstructured data is extracted using the big data platform's visualization tools and a graphical workflow design, debugging, scheduling, and analysis service platform. The visualization tools support near-real-time data synchronization from relational database management systems to the big data platform, providing data integration capabilities, supporting a wide range of data sources, and supporting various data transformation operations. The graphical workflow design, debugging, scheduling, and analysis service platform supports different task types and custom tasks, providing analytical presentations to assist in diagnosing workflow execution status. Real-time data is provided to the front-end by invoking the functional location measurement point microservice.

[0052] The core of building a big data platform is to centrally store the data resources of each enterprise's business systems in the Hadoop data center. This includes the raw data from different business systems and the data models of the data transmission layer and data management layer, which are obtained after extraction and conversion. The big data platform is divided into the raw data layer, the data interaction layer, and the data application layer. This invention stores the raw data extracted from each business system in the raw data layer and stores the processed and integrated raw data in the data interaction layer.

[0053] The main tasks of data storage are dimensional modeling design, conversion and loading model scheduling design, and data quality monitoring. It includes three parts: database, HADOOP, and business middle-end microservices. The data in the database is synchronized to HADOOP in an incremental manner; the business middle-end microservice part mainly includes power plant unit microservices, equipment health microservices, and equipment function location measurement point microservices, which are provided to the front-end application layer for calling through the microservice interface. Other peripheral systems provide calls by extracting data from HADOOP and performing data cleaning and analysis modeling.

[0054] Raw data layer: provides an interface for data import into various systems. It is mainly responsible for loading and storing raw data, and directly loading raw logs and data. In the raw data layer, the raw data remains in its original form without being processed.

[0055] Data interaction layer: The raw data of the data interaction layer comes from the raw data layer. It is mainly responsible for parsing the raw data and is a subject-oriented and analysis-oriented basic layer. It establishes data models based on analytical business themes and builds an enterprise-level single data view. The model is highly scalable and business-neutral, and is used to support various integrated analytical applications.

[0056] In some embodiments, step S2 includes:

[0057] S21. Read the raw data of different nuclear power equipment and generate standardized rules through standardized conversion logic;

[0058] S22. The original data of different nuclear power equipment are standardized and converted according to standardization rules to obtain standard codes.

[0059] To meet business needs, each nuclear power plant has developed its own business system. However, the varying standards across plants and systems result in varying data formats for each functional location, making effective integration impossible. Therefore, it is necessary to establish a unified set of rules to standardize the raw data from each system. Choosing a universal approach to standardize all systems is crucial.

[0060] In the process of standardization conversion of raw data, user-defined functions are used to read raw data such as nuclear power plants, nuclear power units, and original functional locations to generate unified and standardized standard codes to achieve effective data integration.

[0061] Among them, user-defined functions are when the functions provided by the data warehouse tool in HADOOP cannot fully meet business needs. Custom functions are needed to implement and expand the functions themselves to meet business needs. User-defined functions are mainly divided into three types:

[0062] 1) UDF, in:out = 1:1, one input and one output, similar to the uppercase string conversion function and substr function of the data warehouse tool;

[0063] 2) UDAF, in:out = n:1, multiple inputs and one output, similar to the sum function and min function provided by data warehouse tools;

[0064] 3) UDTF, in:out = 1:n, one input and multiple outputs, can be achieved by using the table generation lateral view function and virtual table conversion explode+udf function provided by the data warehouse tool.

[0065] like Figure 3 As shown, in some embodiments, step S22 further includes:

[0066] S221. Determine whether the original data of different nuclear power equipment conforms to standardization rules;

[0067] S222: If yes, then cut the original data of different nuclear power equipment to obtain a digital array and a letter array;

[0068] S223. Form a standard code based on the digital array and the letter array.

[0069] Determine whether the raw data of different nuclear power equipment conforms to the standardization rules. If not, return the raw data without performing logical analysis.

[0070] In some embodiments, step S221 further includes:

[0071] Determine whether the length of the original data of different nuclear power equipment meets the preset length;

[0072] Determine whether the raw data of different nuclear power equipment does not contain characters other than letters and numbers;

[0073] Determine whether the original data of different nuclear power equipment contains numbers of preset length.

[0074] Specifically, the raw data of different nuclear power equipment is determined to be less than 4 characters long. The functional location code must contain at least a 1-digit nuclear power unit number and a 3-digit system classification code. The raw data of different nuclear power equipment is determined to be free of special characters other than letters and numbers, such as " / ". The raw data of different nuclear power equipment is determined to be numeric with a preset length. For example, if it contains a single digit, the raw data must contain a numeric nuclear power unit number. Whether the length is less than 4 characters, whether it contains special characters, " / ", and whether it contains a single digit are examples and are not intended to limit the present invention. Other examples are possible.

[0075] If any of the above three judgment conditions are not met, it does not comply with the standardization rules and the original data is returned without logical analysis.

[0076] In some embodiments, step S222 further includes:

[0077] The original data of different nuclear power equipment are cut according to the numbers to obtain a digital array consisting of digital strings;

[0078] The original data of different nuclear power equipment are cut according to letters to obtain a letter array consisting of letter strings.

[0079] For example, if one of the original data for different nuclear power equipment is "L3ARE001MP", and it is split by digits, the first digit string is empty, the second digit string is "3", the fourth digit string is empty, the fourth digit string is "001", and the fifth digit string is empty. If it is split by letters, the first letter string is "L", the second letter string is empty, the third letter string is "ARE", the fourth letter string is empty, and the fifth letter string is "MP". The resulting digit arrays are "3", "001", and the resulting letter arrays are "L", "ARE", and "MP".

[0080] In some embodiments, step S223 further includes:

[0081] The standard encoding is formed by obtaining a numeric string from a numeric array and an alphabetic string from an alphabetic array.

[0082] Specifically, the nuclear power unit number and serial code are obtained from the digital array, and the power plant number, system code and equipment type number are obtained from the letter array, and they are spliced in a preset order. For example, the nuclear power unit number "3" and the serial code are obtained from the digital array, and the power plant number "L", the system code "ARE", and the equipment type number "MP" are obtained from the letter array, and they are spliced in the order of "power plant number + nuclear power unit number + system classification code + serial code + equipment type number".

[0083] The standard encoding is formed by obtaining a numeric string from a numeric array and an alphabetic string from an alphabetic array. If the number of characters in the numeric string or the alphabetic string does not meet the number of the standard encoding, special characters are added to make up for it.

[0084] Specifically, the system code "ARE" obtained from the letter string is three characters long, while the system code is four characters long in the standard code, so "-" is used to fill in the fourth digit; the serial code "001" obtained from the digital string is three characters long, while the serial code is four characters long in the standard code, so "-" is used to fill in the fourth digit.

[0085] The final standard code is "L3ARE-001-MP-".

[0086] In some embodiments, step S1 further includes:

[0087] Establish connections with multiple nuclear power equipment, obtain the original data of different nuclear power equipment, and store it in the original data layer.

[0088] In some embodiments, step S3 further includes:

[0089] The standard code is converted to obtain the corresponding standard data, and the standard data is stored in the form of a table in the data interaction layer to realize data technology analysis application based on nuclear power equipment information identification.

[0090] Specifically, the standard codes of different nuclear power equipment are converted into standard data through data conversion such as union, aggregation, connection, mapping, sorting, and filtering. The standard data of similar businesses of different nuclear power plants are combined into a database table, and multiple database tables with related relationships are associated with an index table. The converted standard data is finally stored in the data interaction layer in the format of an index table, and high-performance search of the index table is used to meet the requirements of one-click search of billions of data and second-level response.

[0091] Leveraging the automated workflow management components of the big data platform, we flexibly apply Java, scripts, timers, triggers, data streams, workflows, and other types of tasks, and implement data flow logic by setting reasonable dependencies between tasks. Furthermore, we stagger scheduling based on workflow runtimes and data volumes to ensure the smooth operation of memory and CPU resources on the big data platform servers.

[0092] In some embodiments, step S3 further includes:

[0093] The standard data of the data interaction layer is loaded into the application data layer by the preset scheduling tool at a fixed time, and is used to apply the standard data to business applications.

[0094] The standard data of the application data layer is obtained by the data processing layer in the technical architecture in the form of a structure, and is used for display on the client or large screen of the data application layer.

[0095] Some embodiments of the present invention disclose a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the data technology analysis application method based on nuclear power equipment information identification as in any of the above embodiments is implemented, which will not be described in detail here.

[0096] Nuclear power equipment in nuclear power plants contains a huge amount of information. QR code labels can store a large amount of equipment identification information, including equipment codes, models, location information, equipment status records, maintenance records, common high-risk points in operation and maintenance and preventive measures, common faults and solutions, etc., to help form a dynamic archive; using QR code scanning equipment, the identification information in the QR code can be quickly read, which greatly improves the reading efficiency of equipment identification information; the original information read is standardized and stored in the database to realize centralized management of nuclear power equipment identification information data, which provides great convenience for equipment maintenance and management; integrating the QR code scanning function into the nuclear power equipment management system can realize real-time monitoring and management of nuclear power equipment, effectively improving the safety and reliability of the equipment.

[0097] It is understandable that the above embodiments only express some of the implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, the above embodiments or technical features can be freely combined, and several deformations and improvements can be made, which all fall within the scope of protection of the present invention, that is, the embodiments described in "some embodiments" can be freely combined with any of the above and below embodiments. Therefore, all equivalent transformations and modifications made to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A data technology analysis and application method based on nuclear power equipment information identification, characterized in that: The following steps are involved: S1. Obtain the original data of different nuclear power equipment and store it in the original data layer; S2. Obtaining original data of different nuclear power equipment from the original data acquisition layer, and performing standardization conversion according to standardization rules to obtain corresponding standard codes; S3. Perform data conversion on the standard code to obtain corresponding standard data, and store the standard data in a data interaction layer to implement data technology analysis application based on nuclear power equipment information identification.

2. The data technology analysis and application method based on nuclear power equipment information identification according to claim 1 is characterized in that: Step S2 includes: S21. Read the original data of the different nuclear power equipment and generate standardized rules through standardized conversion logic; S22. Performing standardization conversion on the original data of the different nuclear power equipment according to the standardization rules to obtain the standard code.

3. The data technology analysis and application method based on nuclear power equipment information identification according to claim 2 is characterized in that: Step S22 also includes: S221, determining whether the original data of the different nuclear power equipment conforms to the standardization rules; S222: If yes, then segment the original data of the different nuclear power equipment to obtain a digital array and a letter array; S223. Compose the standard code according to the number array and the letter array.

4. The data technology analysis and application method based on nuclear power equipment information identification according to claim 3 is characterized in that: Step S221 also includes: Determining whether the length of the original data of the different nuclear power equipment meets a preset length; Determining whether the original data of the different nuclear power equipment does not contain any characters other than letters and numbers; Determine whether the original data of the different nuclear power equipment contains numbers of a preset length.

5. The data technology analysis and application method based on nuclear power equipment information identification according to claim 3 is characterized in that: Step S222 also includes: Cutting the original data of the different nuclear power equipment according to the numbers to obtain the digital array consisting of digital character strings; The original data of the different nuclear power equipment are cut according to letters to obtain the letter array composed of letter strings.

6. The data technology analysis and application method based on nuclear power equipment information identification according to claim 3 is characterized in that: Step S223 also includes: The standard code is formed by obtaining the digital string from the digital array and the letter string from the letter array.

7. The data technology analysis and application method based on nuclear power equipment information identification according to claim 1 is characterized in that: Step S1 also includes: Establish connections with multiple nuclear power equipment, obtain original data of the different nuclear power equipment, and store them in the original data layer.

8. The data technology analysis and application method based on nuclear power equipment information identification according to claim 1 is characterized in that: Step S3 also includes: The standard code is converted to obtain corresponding standard data, and the standard data is stored in the form of a table in the data interaction layer to realize data technology analysis application based on nuclear power equipment information identification.

9. The data technology analysis and application method based on nuclear power equipment information identification according to claim 1 is characterized in that: After step S3, the following steps are also included: The standard data of the data interaction layer is regularly triggered by a preset scheduling tool and loaded into the application data layer for business application of the standard data.

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 data technology analysis application method based on nuclear power equipment information identification as described in any one of claims 1 to 9 is implemented.

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