CN115495444A - Nuclear power station data cleaning method and device - Google Patents
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Abstract
The disclosure belongs to the technical field of nuclear power, and particularly relates to a nuclear power station data cleaning method and device. The method mainly depends on the data standard of each business object, and configures the data cleaning rule for each production business object attribute so as to realize data cleaning according to the configured rule when the relevant production business object data is acquired. According to the technical scheme, various data cleaning rules are provided, the rules support custom expansion, the custom data cleaning rules can be expanded according to self business requirements, and different data cleaning requirements of data related personnel of the nuclear power plant can be flexibly met. In addition, the method and the system can interact with the production business object data standard, and guarantee the standardization, accuracy and consistency of the data.
Description
Technical Field
The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power station data cleaning method and device.
Background
With the advance of digital transformation in nuclear power plants in recent years, the information construction of the nuclear power plants is also showing well-spraying construction, and the nuclear power plants have the industrial particularity that the unit operation does not leave the support of multi-professional cooperative work and various professional information systems, have strict requirements on reliability and safety, need to integrate high-quality and reliable data resources to provide work support, carry out data mining and data precipitation on data generated in the unit operation period and are also important work of the digital transformation of the nuclear power plants.
At present, all production data are dispersed in corresponding information systems, the systems are mutually independent, the corresponding data island effect is generated, when the data are mined and analyzed, the data need to be processed secondarily and cleaned and converted correspondingly to be used, and due to the complexity of the information systems and nuclear power services, a plurality of data cleaning tasks are generated, so that the data source, the target data, the conversion mode and process and the verification after final cleaning need to be managed and configured independently, the maintenance generates larger pressure, and the maintenance cost is increased.
Disclosure of Invention
In order to overcome the problems in the related art, a nuclear power station data cleaning method and a nuclear power station data cleaning device are provided.
According to an aspect of an embodiment of the present disclosure, there is provided a nuclear power plant data cleaning method, including:
determining a data source needing data cleaning, and creating a data cleaning task;
setting a data standard and a cleaning rule according to a data cleaning requirement aiming at the data cleaning task;
and acquiring data from the data source according to the data standard, and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain cleaned data.
In one possible implementation, the method further includes:
under the condition that the deviation between the cleaned data and a preset data rule is detected, the data are sent to an associated account;
and under the condition that the cleaned data is matched with the preset data rule, storing the data into a target data source.
In a possible implementation manner, the data cleansing rule configures a data cleansing rule corresponding to an attribute, and each attribute configures one or more cleansing rules.
In one possible implementation manner, the data source is configured with a RESTful interface, and data is collected from the data source by calling the RESTful interface provided by the data source under the condition of passing through preset account verification.
In a possible implementation manner, the data to be cleaned is called in through a uniform interface, and under the condition of calling the interface each time, different entity names and entity attributes are transmitted.
According to another aspect of the disclosed embodiments, there is provided a nuclear power plant data washing apparatus, including:
the creating module is used for determining a data source needing data cleaning and creating a data cleaning task;
the setting module is used for setting a data standard and a cleaning rule according to the data cleaning requirement aiming at the data cleaning task;
and the acquisition and cleaning module is used for acquiring data from the data source according to the data standard and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain the cleaned data.
In one possible implementation, the apparatus further includes:
the first detection module is used for sending the data to a related account under the condition that the deviation between the cleaned data and a preset data rule is detected;
and the second detection module is used for storing the cleaned data into the target data source under the condition that the cleaned data is matched with the preset data rule.
In a possible implementation manner, the data cleansing rule configures a data cleansing rule corresponding to an attribute, and each attribute configures one or more cleansing rules.
In one possible implementation manner, the data source is configured with a RESTful interface, and data is collected from the data source by calling the RESTful interface provided by the data source under the condition of passing through preset account verification.
In a possible implementation manner, the data to be cleaned is called in through a uniform interface, and under the condition of calling the interface each time, different entity names and entity attributes are transmitted.
According to another aspect of the disclosed embodiments, there is provided a nuclear power plant data washing apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method described above.
According to another aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
The beneficial effect of this disclosure lies in: the data cleaning method is mainly based on the data standard of each business object, and the data cleaning rules are configured for the attributes of each production business object, so that the data cleaning is carried out according to the configured rules when the data of the related production business objects are collected. According to the technical scheme, various data cleaning rules are provided, the rules support custom expansion, the custom data cleaning rules can be expanded according to self business requirements, and different data cleaning requirements of data related personnel of the nuclear power plant can be flexibly met. In addition, the method and the system can interact with the production business object data standard, and guarantee the standardization, accuracy and consistency of the data.
Drawings
FIG. 1 is a flow chart illustrating a nuclear power plant data cleansing method according to an exemplary embodiment.
FIG. 2 is a block diagram illustrating a nuclear power plant data washer according to an exemplary embodiment.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
FIG. 1 is a flow chart illustrating a nuclear power plant data cleansing method according to an exemplary embodiment. The method can be executed by a terminal device, wherein the terminal device can be a server, a desktop computer and the like, and the type of the terminal device is not limited in the embodiment of the disclosure. As shown in fig. 1, the method includes:
For example, the configurable data cleansing rules include: general rules, industry rules and custom expansion rules.
The general generic rules can be expressed as simple and easy rules that are often used in everyday work, such as: data merging rules, data splitting rules, de-duplication rules, constant rules, length check rules, idle check rules, and the like.
The industry rules can be expressed as referential rules on the nuclear power industry co-reactor type power plant data cleaning application, such as: SSC code combining rule, SSCs splitting rule, etc
The user-defined expansion rule can be expressed as a rule which needs to be newly added and configured according to the requirement of the user on data cleaning and under the condition that the general rule and the industry rule cannot be met.
Each rule may be defined by the following: rule coding, rule classification, rule name, rule description, rule details.
After the data standard and the cleaning rule are configured, the relevant configuration can be templated for multiplexing the relevant configuration, and parameters such as the relevant acquisition frequency of the data cleaning task can be set to form normalized data acquisition.
And 102, acquiring data from the data source according to the data standard, and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain cleaned data.
The data cleaning method is mainly based on the data standard of each business object, and the data cleaning rules are configured for the attributes of each production business object, so that the data cleaning is carried out according to the configured rules when the data of the related production business objects are collected. According to the technical scheme, various data cleaning rules are provided, the rules support custom expansion, the custom data cleaning rules can be expanded according to self business requirements, and different data cleaning requirements of data related personnel of the nuclear power plant can be flexibly met. In addition, the method and the system can interact with the production business object data standard, and guarantee the standardization, accuracy and consistency of the data.
In one possible implementation, the method further includes:
103, sending the data to a related account under the condition that the cleaned data is detected to have deviation with a preset data rule;
and 104, storing the data into a target data source under the condition that the cleaned data is matched with a preset data rule.
Therefore, through steps 103 and 104, the cleaned data can be verified, and the wrong cleaning data can be effectively prevented from being stored in the target data source.
In a possible implementation manner, the data cleansing rule configures a data cleansing rule corresponding to an attribute, and each attribute configures one or more cleansing rules. Therefore, data cleaning can be realized according to configured rules when relevant production business object data are collected.
In a possible implementation manner, the data source is configured with a RESTful interface, and the terminal device may collect data from the data source by calling the RESTful interface provided by the data source, in the case of verification through a preset account. The preset account verification can be different from the account verification mode of the data source, so that the terminal equipment conducts data import in the system account password mode of the service interface under the condition that the account password of the database does not need to be known.
In the related art, the implementation and development difficulty of the system can be greatly increased by a mode that each entity corresponds to one interface, in a possible implementation mode, the terminal equipment calls data to be cleaned through a uniform interface, and different entity names and entity attributes are transmitted under the condition that the interfaces are called each time. Flexible access to the data can be achieved.
In a possible implementation manner, the selected service object may be configured with a data cleaning rule corresponding to an attribute according to its own data requirement, multiple cleaning rules may be selected for one attribute, and a data processing procedure after occurrence of abnormal data, such as suspension, skipping, and the like, may be set.
In one possible implementation, there is provided a nuclear power plant data washing apparatus, the apparatus comprising:
the creating module is used for determining a data source needing data cleaning and creating a data cleaning task;
the setting module is used for setting a data standard and a cleaning rule according to the data cleaning requirement aiming at the data cleaning task;
and the acquisition and cleaning module is used for acquiring data from the data source according to the data standard and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain the cleaned data.
In one possible implementation, the apparatus further includes:
the first detection module is used for sending the data to a related account under the condition that the deviation between the cleaned data and a preset data rule is detected;
and the second detection module is used for storing the data into the target data source under the condition that the cleaned data is matched with the preset data rule.
In a possible implementation manner, the data cleansing rule configures a data cleansing rule corresponding to an attribute, and each attribute configures one or more cleansing rules.
In one possible implementation manner, the data source is configured with a RESTful interface, and data is collected from the data source by calling the RESTful interface provided by the data source under the condition of passing through preset account verification.
In a possible implementation manner, the data to be cleaned is called in through a uniform interface, and under the condition of calling the interface each time, different entity names and entity attributes are transmitted.
The description of the above apparatus has been detailed in the description of the above method, and is not repeated here.
FIG. 2 is a block diagram of a nuclear power plant data washer, according to an example embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 2, the apparatus 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. A nuclear power plant data cleaning method is characterized by comprising the following steps:
determining a data source needing data cleaning, and creating a data cleaning task;
setting a data standard and a cleaning rule according to a data cleaning requirement aiming at the data cleaning task;
and acquiring data from the data source according to the data standard, and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain cleaned data.
2. The method of claim 1, further comprising:
under the condition that the deviation between the cleaned data and a preset data rule is detected, the data are sent to an associated account;
and under the condition that the cleaned data is matched with the preset data rule, storing the data into a target data source.
3. The method of claim 1, wherein the data cleansing rules configure data cleansing rules corresponding to attributes, each attribute configuring one or more cleansing rules.
4. The method of claim 1, wherein the data source configures a RESTful interface, and wherein the data source acquires data from the data source by invoking the RESTful interface provided by the data source in case of verification through a preset account.
5. The method of claim 1, wherein the data to be cleaned is called in through a uniform interface, and different entity names and entity attributes are transmitted in each case of calling the interface.
6. A nuclear power plant data washer, the apparatus comprising:
the creating module is used for determining a data source needing data cleaning and creating a data cleaning task;
the setting module is used for setting a data standard and a cleaning rule according to the data cleaning requirement aiming at the data cleaning task;
and the acquisition and cleaning module is used for acquiring data from the data source according to the data standard and performing data cleaning conversion on the acquired data according to the cleaning rule to obtain the cleaned data.
7. The apparatus of claim 6, further comprising:
the first detection module is used for sending the data to a related account under the condition that the deviation between the cleaned data and a preset data rule is detected;
and the second detection module is used for storing the cleaned data into the target data source under the condition that the cleaned data is matched with the preset data rule.
8. The apparatus of claim 6, wherein the data cleansing rules configure data cleansing rules corresponding to attributes, each attribute configuring one or more cleansing rules.
9. The apparatus of claim 6, wherein the data source configures a RESTful interface, and wherein the data source acquires data from the data source by invoking the RESTful interface provided by the data source in case of verification through a preset account.
10. The apparatus of claim 6, wherein the data to be cleaned is called in through the unified interface, and different entity names and entity attributes are transmitted in each case of calling the interface.
11. A nuclear power plant data washer, the apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 5.
12. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any one of claims 1 to 5.
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