Steam data processing method, device, equipment, medium and product

Abstract

The invention discloses a steam data processing method, device and equipment, a medium and a product, and relates to the technical field of data processing. Determining a target steam model from a steam model library in response to a viewing request of the interactive interface; searching target steam data from a state database based on the identifier of the target steam model; displaying the target steam model and the target steam data based on a preset template; and performing anomaly detection based on the target steam data and a data anomaly threshold to obtain and display an anomaly result. By adopting the technical scheme, the problem of how to monitor and objectively display the steam data of the steam generator in real time is solved; through combined display of the target steam model and the target steam data, the monitoring data can be classified, sorted and displayed according to categories, so that real-time and objective acquisition of the running state of the steam generator is facilitated, and real-time monitoring of abnormal data can be further realized.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a steam data processing method, apparatus, equipment, medium, and product. Background Technology

[0002] Monitoring the thermal-hydraulic parameters of nuclear power plant steam generators has always been a crucial measure to ensure their safe and stable operation. However, with the increasing complexity of operating conditions and the diversity of monitoring data, simply presenting a general overview of the thermal-hydraulic parameters without proper organization can easily lead to visual confusion and makes it difficult to categorize and organize key and sensitive data.

[0003] In existing technologies, when monitoring the thermal-hydraulic parameters of steam generators in nuclear power plants, it is necessary to develop a monitoring system to display these parameters. However, during the monitoring of thermal-hydraulic parameters, there is a large amount of data that needs to be monitored and displayed. If the data is not categorized, it can easily lead to visual errors and miss important information.

[0004] Therefore, there is an urgent need for a steam data processing method that can classify and display monitoring data by category, thereby enabling real-time and objective acquisition of the operating status of the steam generator. Summary of the Invention

[0005] This invention provides a steam data processing method, apparatus, equipment, medium, and product to address how to monitor and objectively display steam data from a steam generator in real time. By combining and displaying a target steam model and target steam data, the monitoring data can be categorized and displayed, thereby facilitating the real-time and objective acquisition of the steam generator's operating status and enabling real-time monitoring of abnormal data.

[0006] According to one aspect of the present invention, a steam data processing method is provided, characterized in that it includes:

[0007] In response to a viewing request from the interactive interface, the target steam model is determined from the steam model library;

[0008] Based on the identifier of the target steam model, retrieve the target steam data from the state database;

[0009] The target steam model and target steam data are displayed based on a preset template;

[0010] Anomaly detection is performed based on the target steam data and the data anomaly threshold to obtain and display the anomaly results.

[0011] According to another aspect of the present invention, a steam data processing apparatus is provided, characterized in that it comprises:

[0012] The determination module is used to determine the target steam model from the steam model library in response to a viewing request from the interactive interface;

[0013] The lookup module is used to search for target steam data from the state database based on the identifier of the target steam model;

[0014] The display module is used to display the target steam model and the target steam data based on a preset template;

[0015] An anomaly detection module is used to perform anomaly detection based on the target steam data and the data anomaly threshold, obtain the anomaly results, and display them.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the steam data processing method according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the steam data processing method according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the steam data processing method according to any embodiment of the present invention.

[0022] The technical solution of this invention solves the problem of how to monitor and objectively display the steam data of a steam generator in real time by combining and displaying the target steam model and target steam data; the monitoring data can be categorized and displayed, which is beneficial for obtaining the operating status of the steam generator in real time and further enabling real-time monitoring of abnormal data.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a steam data processing method provided according to an embodiment of the present invention;

[0026] Figure 2 This is a flowchart of a steam data processing method provided according to an embodiment of the present invention;

[0027] Figure 3 This is a schematic diagram of the structure of a steam data processing device according to an embodiment of the present invention;

[0028] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the steam data processing method of this invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product or device.

[0031] Furthermore, it should be noted that the information collected in the technical solution of this invention is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of related data all comply with the relevant laws, regulations and standards of relevant countries and regions, necessary confidentiality measures have been taken, and public order and good morals are not violated. Corresponding operation entry points are provided for users to choose to authorize or refuse.

[0032] Figure 1This invention provides a flowchart of a steam data processing method, applicable to the processing of steam data, particularly suitable for processing and displaying operating data of steam generators in nuclear power plants. The method can be executed by a steam data processing device, which can be implemented in hardware and / or software and can be configured on a server. Figure 1 As shown, the method includes:

[0033] S110. In response to a viewing request from the interactive interface, determine the target steam model from the steam model library.

[0034] The interactive interface is an interactive interface that displays steam operation data related to the steam generator; the viewing request is a viewing request for the steam generator to be viewed; the steam model library is a pre-built two-dimensional model corresponding to each steam generator; and the target steam model is the two-dimensional steam model corresponding to the steam generator to be viewed in the viewing request.

[0035] Specifically, in response to a viewing request from the interactive interface, the target steam model corresponding to the steam generator to be viewed is determined from the steam model library based on the viewing request.

[0036] Optionally, in response to a viewing request from the interactive interface, the target steam model is determined from the steam model library, including:

[0037] Parse and view the request to obtain the target power plant identifier and the target steam generator identifier;

[0038] Search the steam model library corresponding to the target power plant based on the target power plant identifier;

[0039] The target steam model is determined from the steam model library based on the target steam generator identifier.

[0040] Among them, the target power plant identifier is the identification information corresponding to the nuclear power plant to which the steam generator to be viewed belongs; the target steam generator identifier is the identification information corresponding to the steam generator to be viewed; and the power plant database consists of nuclear power plants in various regions.

[0041] Specifically, the process parses the view request to obtain the target power plant identifier and target steam generator identifier input by the user. Based on the target power plant identifier, it searches the power plant database for the corresponding steam model. Based on the target steam generator identifier, it determines the target steam model from the steam model database. For example, if the view request is HY1 / SGA, the parsing process reveals the target power plant to be HY1, i.e., Haiyang Unit 1 power plant; and SGA to be the target steam generator.

[0042] Understandably, based on the user's viewing request obtained from the interactive interface, the target steam model corresponding to the viewing request is found, enabling personalized display of steam models under various types, ensuring that steam generator-related steam data can be displayed intuitively in the future; by building a model library technology, the GPU load is reduced, ensuring smooth system operation and a good user experience.

[0043] S120. Based on the identifier of the target steam model, retrieve the target steam data from the state database.

[0044] The target steam model identifier is carried by the target steam model and is associated with the target steam model and stored in the steam model library. It can be the same as the target steam generator identifier. The state database is the storage library for the operating state data corresponding to the target steam model. The target steam data is the operating state data of the target steam generator, which can be steam data such as outlet steam flow rate data, outlet steam pressure data, feedwater temperature data, water level data, feedwater flow rate data, sewage flow rate data, inlet temperature data, operating pressure data, and coolant outlet flow rate data.

[0045] Specifically, the target steam generator is located in the state database by identifying the target steam model, and the target steam data corresponding to the target steam generator is determined.

[0046] In an optional embodiment of the present invention, the target steam data in the state database is obtained by data transmission from the sensors configured in the steam generator through the key thermal-hydraulic parameter interface of the steam generator. The key thermal-hydraulic parameter interface of the steam generator includes an outlet steam flow interface, an outlet steam pressure interface, a feedwater temperature interface, a water level interface, a feedwater flow interface, a blowdown flow interface, an inlet temperature interface, an operating pressure interface, and a coolant outlet flow interface.

[0047] S130. Display the target steam model and target steam data based on a preset template.

[0048] The preset template is an interactive interface template for displaying the steam generator, including a target steam model display module, a real-time steam data display module, a steam generator equipment information module, a key steam data time-series change module, and an anomaly warning module.

[0049] Specifically, the target steam model and target steam data are displayed in the corresponding area through the display module of the preset template.

[0050] Optionally, the target steam model and target steam data can be displayed based on a preset template, including:

[0051] Map the target steam data onto the data labels of the target steam model;

[0052] Based on the key data tags in the data tags, obtain the key steam data from the target steam data within a preset time period;

[0053] The key steam data were plotted based on time sequence to obtain the data curves corresponding to the key data labels;

[0054] The target steam model and data curves are displayed based on a preset template.

[0055] The data tags represent the sensor locations configured on the steam generator. These tags are displayed in the steam model as data labels, indicating the steam state data collected at that location. The data can be of various steam state types, including data such as outlet steam flow rate, outlet steam pressure, feedwater temperature, water level, feedwater flow rate, blowdown flow rate, inlet temperature, operating pressure, and coolant outlet flow rate. Key data tags can be critical monitoring information from the steam data tags, including outlet pressure, operating pressure, flow rate, and outlet flow rate. Key steam data refers to the data information within the target steam data that corresponds to the key data tags. The data curve is a time-series state data graph corresponding to the key monitoring data.

[0056] Specifically, the data labels of the target steam model are determined, and the target steam data is mapped to the data labels of the target steam model to obtain the target steam model carrying the data labels and the steam data corresponding to the current time. Based on the key data labels in the data labels of the target steam model, the key steam data within a preset time period is obtained from the state database, and the key steam data is plotted according to the time series to obtain the data curves corresponding to the key data labels. The target steam model and data curves carrying the real-time updated target steam data are displayed through a preset template.

[0057] Understandably, by plotting key monitoring data based on time series curves, it is possible to intuitively and in real-time observe the changes in the state of the steam generator, ensuring that relevant technicians can predict the operating status of the steam generator based on practical experience. Furthermore, by combining steam data with a steam model, the current steam data can be intuitively seen from which location it was collected through the 3D steam model, enabling real-time updates of operating data.

[0058] S140. Based on the target steam data and the data anomaly threshold, perform anomaly detection, obtain the anomaly results, and display them.

[0059] Among them, the data anomaly threshold is the anomaly threshold corresponding to each steam data; the anomaly results may include abnormal operation data, heat transfer tube fouling coefficient and circulation ratio.

[0060] Specifically, the target steam data collected by monitoring is processed to iteratively calculate the fouling coefficient and circulation ratio of the heat transfer tube. The calculated value is then compared with the data anomaly threshold to obtain the anomaly results, including the abnormal data, the anomaly type, and the fouling coefficient and circulation ratio of the heat transfer tube.

[0061] In one optional embodiment of the present invention, the abnormal results can be displayed in a prominent monitoring information bar on the interactive interface, including abnormal steam data and its corresponding abnormal data tags, so as to classify and organize key sensitive data.

[0062] Optionally, anomaly detection is performed based on target steam data and anomaly thresholds to obtain and display anomaly results, including:

[0063] The fouling coefficient is calculated based on the fouling coefficient calculation rules for the target steam data.

[0064] The target steam data is iterated based on a preset cycle ratio to obtain the target cycle ratio.

[0065] Anomalies in the fouling coefficient and target circulation ratio are detected based on the data anomaly threshold, and anomaly monitoring results are obtained; the anomaly monitoring results include abnormal steam data.

[0066] The abnormal steam data is associated with the abnormal steam data by using the data tag to identify the abnormal data.

[0067] The fouling factor is calculated by using the heat transfer equation to calculate the heat power delivered by the nuclear reactor coolant, and then using the heat power to calculate the thermal resistance of the tube wall. The fouling factor is obtained by using the heat balance equation and the heat transfer principle of the cylindrical wall. The circulation ratio is calculated by iteratively calculating the steam generator structural parameters, primary flow rate, primary inlet temperature or outlet temperature or average temperature, primary pressure, steam pressure, heat load, and feedwater temperature in the target steam data. The data anomaly threshold is the standard anomaly range value. The anomaly monitoring results include normal or abnormal.

[0068] Specifically, the heat power delivered by the reactor coolant is calculated using the heat transfer equation, and the thermal resistance of the tube wall is calculated based on the heat power. The fouling coefficient is obtained using the heat balance equation and the heat transfer principle of the cylindrical wall. The steam generator structural parameters, primary side flow rate, primary side inlet temperature or outlet temperature or average temperature, primary side pressure, steam pressure, heat load, and feedwater temperature in the target steam data are compared with the set circulation ratio to obtain the driving head and total flow pressure drop. The driving head and total flow pressure drop are compared. If they are different, the circulation ratio is re-assumed. The above two steps are repeated iteratively until the driving head equals the total flow pressure drop, that is, the secondary side water circulation reaches a stable condition. The corresponding circulation ratio at this time is obtained as the target circulation ratio. Anomalies in the fouling coefficient and target circulation ratio are detected based on the data anomaly threshold. If the calculated value exceeds the preset data anomaly threshold, the data tag to which the abnormal steam data belongs is used as the abnormal data tag and associated with the abnormal steam data to obtain the abnormal result. This result can be highlighted on the interactive interface for early warning.

[0069] The calculation formula for the heat power delivered by the nuclear reactor coolant using the heat transfer equation is shown below:

[0070]

[0071] The thermal power delivered to the coolant in a nuclear reactor; This refers to the mass flow rate of the primary coolant. and These are the specific enthalpy of the nuclear reactor coolant entering and exiting the steam generator.

[0072] The formula for calculating the thermal resistance of the pipe wall is as follows:

[0073]

[0074] The thermal resistance of the pipe wall; The thermal conductivity of the heat transfer tube material; , , These are the inner diameter, outer diameter, and calculated diameter of the heat transfer tube, respectively.

[0075] The formula for calculating the heat transfer temperature difference is as follows:

[0076]

[0077] For heat transfer temperature difference; , These represent the maximum and minimum temperature differences on both sides of the calculation section, respectively.

[0078] The formula for calculating the heat transfer coefficient is shown below:

[0079]

[0080] A is the heat transfer area, and K is the heat transfer coefficient.

[0081] The formula for calculating the fouling factor is as follows:

[0082]

[0083] The dirt coefficient; and These are the convective heat transfer coefficients for the primary and secondary sides, respectively.

[0084] Understandably, by setting abnormal data thresholds to monitor and issue early warnings, and by displaying real-time change curves of various parameters in the trend analysis module based on the monitored data and calculation results, managers can quickly take countermeasures and further obtain real-time and objective information about the operating status of the steam generator.

[0085] In this embodiment of the invention, in response to a viewing request from the interactive interface, a target steam model is determined from a steam model library; target steam data is retrieved from a status database based on the identifier of the target steam model; the target steam model and target steam data are displayed based on a preset template; and anomaly detection is performed based on the target steam data and a data anomaly threshold to obtain and display the anomaly results. This technical solution solves the problem of how to monitor and objectively display steam data from a steam generator in real time. By combining and displaying the target steam model and target steam data, the monitoring data can be categorized and displayed, thereby facilitating real-time and objective acquisition of the steam generator's operating status and enabling real-time monitoring of abnormal data.

[0086] Figure 2 This is a flowchart illustrating a steam data processing method provided by an embodiment of the present invention. Based on the above embodiments, this embodiment supplements the method for constructing the steam model library. It should be noted that for parts not detailed in this embodiment, please refer to the relevant descriptions in other embodiments, such as... Figure 2 As shown, the method includes:

[0087] S210. Obtain the attribute information of the steam generator.

[0088] The attribute information includes the steam-water separator, tube sheet, support plate, and tens of thousands of heat transfer tubes, along with their corresponding size information and key areas.

[0089] Specifically, obtain the size information, construction information, or key areas of the steam generator to avoid unnecessary drawing, render only the currently visible area, and improve the efficiency of model building.

[0090] S220. Generate an initial steam model based on attribute information.

[0091] The initial steam model is a three-dimensional model of the steam generator.

[0092] Specifically, an initial steam model is generated from the attribute information of the steam generator using 3D rendering technology.

[0093] S230. Render the initial steam model based on the data labels to obtain the target steam model.

[0094] The rendering process can utilize a 2D rendering library to render the initial 3D steam model into a pseudo-3D effect.

[0095] Specifically, the Konva technique can be used to render the initial steam model to obtain the target steam model.

[0096] Optionally, the target steam model is obtained by rendering the initial steam model based on the data labels, including:

[0097] Based on the data tags and the model location to which the data tags belong, the data tags are mapped onto the initial steam model to obtain the tagged steam model;

[0098] Add offset positions to the data labels based on the dimensional information of the initial steam model;

[0099] The label vapor model is adjusted based on the offset position to obtain the target label vapor model;

[0100] The labels in the target label steam model are separated and fixed to obtain the target steam model.

[0101] Among them, the model position to which the data tag belongs is the sensor position of the steam data corresponding to the data tag; the tag steam model is the 3D steam model with the data tag rendered; the offset position is the positional difference between the 3D model and the data tag size; and the target tag steam model is the 3D steam model after the tag position is adjusted.

[0102] Specifically, based on the data tags and the model positions to which the data tags belong, the data tags are mapped onto the initial steam model to obtain the tagged steam model; offset positions are added to the data tags based on the size information of the initial steam model; the tagged steam model is adjusted based on the offset positions to obtain the target tagged steam model; the tags in the target tagged steam model are separated and fixed to obtain the target steam model.

[0103] Understandably, the monitor's position is indicated by data labels on the 3D model of the steam generator. Based on the different configurations and resolutions of different devices, an effective depth buffer is set up to ensure that the occlusion relationship between the labels and the 3D model is correct and the positioning points are fixed and not misaligned. This avoids problems such as labels being occluded by the model, blurry text, misalignment, and rendering lag. Anti-aliasing and high-resolution texture optimization are used to ensure that the label text is clear and easy to read, and a view matrix is ​​used to ensure that the labels always face the camera.

[0104] S240, In response to a viewing request from the interactive interface, determine the target steam model from the steam model library.

[0105] S250. Based on the identifier of the target steam model, retrieve the target steam data from the state database.

[0106] S260. Display the target steam model and target steam data based on a preset template.

[0107] S270. Based on the target steam data and the data anomaly threshold, perform anomaly detection, obtain the anomaly results, and display them.

[0108] This invention, through the construction of a steam model library, achieves intelligent and objective monitoring of the system, avoiding interference from human factors. By batch rendering steam models of various types of steam generators, the GPU load is reduced, eliminating the need for real-time generation during data display, thus improving the efficiency of subsequent data monitoring, ensuring smooth system operation, and providing a good user experience.

[0109] Figure 3 This is a schematic diagram of a data management device provided in an embodiment of the present invention. This embodiment is applicable to the processing of steam data, particularly suitable for processing and displaying operating data of steam generators in nuclear power plants. The steam data processing device can be implemented in hardware and / or software, and can be configured in a server. Figure 3 As shown, the steam data processing device 300 includes a determination module 310, a search module 320, a display module 330, and an anomaly detection module 340.

[0110] The determination module 310 is used to determine the target steam model from the steam model library in response to a viewing request from the interactive interface;

[0111] The lookup module 320 is used to look up target steam data from the state database based on the identifier of the target steam model;

[0112] Display module 330 is used to display the target steam model and target steam data based on a preset template;

[0113] The anomaly detection module 340 is used to detect anomalies based on target steam data and data anomaly thresholds, obtain anomaly results, and display them.

[0114] In this embodiment of the invention, in response to a viewing request from the interactive interface, a target steam model is determined from a steam model library; target steam data is retrieved from a status database based on the identifier of the target steam model; the target steam model and target steam data are displayed based on a preset template; and anomaly detection is performed based on the target steam data and a data anomaly threshold to obtain and display the anomaly results. This technical solution solves the problem of how to monitor and objectively display steam data from a steam generator in real time. By combining and displaying the target steam model and target steam data, the monitoring data can be categorized and displayed, thereby facilitating real-time and objective acquisition of the steam generator's operating status and enabling real-time monitoring of abnormal data.

[0115] Optionally, the anomaly detection module 340 is also used to calculate the target steam data based on the fouling coefficient calculation rules to obtain the fouling coefficient;

[0116] The target steam data is iterated based on a preset cycle ratio to obtain the target cycle ratio.

[0117] Anomalies in the fouling coefficient and target circulation ratio are detected based on the data anomaly threshold, and anomaly monitoring results are obtained; the anomaly monitoring results include abnormal steam data.

[0118] The abnormal steam data is associated with the abnormal steam data by using the data tag to identify the abnormal data.

[0119] Optionally, the steam data processing unit 300 also includes a building module for acquiring attribute information of the steam generator;

[0120] Generate an initial steam model based on attribute information;

[0121] The target steam model is obtained by rendering the initial steam model based on the data labels.

[0122] Optionally, the building module is also used to map data tags onto the initial steam model to obtain a tagged steam model based on the data tags and the model location to which the data tags belong;

[0123] Add offset positions to the data labels based on the dimensional information of the initial steam model;

[0124] The label vapor model is adjusted based on the offset position to obtain the target label vapor model;

[0125] The labels in the target label steam model are separated and fixed to obtain the target steam model.

[0126] Optionally, the display module 330 is also used to map the target steam data onto the data labels of the target steam model;

[0127] Based on the key data tags in the data tags, obtain the key steam data from the target steam data within a preset time period;

[0128] The key steam data were plotted based on time sequence to obtain the data curves corresponding to the key data labels;

[0129] The target steam model and data curves are displayed based on a preset template.

[0130] Optionally, module 310 is also used to parse the viewing request and obtain the target power plant identifier and the target steam generator identifier;

[0131] Search the steam model library corresponding to the target power plant based on the target power plant identifier;

[0132] The target steam model is determined from the steam model library based on the target steam generator identifier.

[0133] The steam data processing device provided in the embodiments of the present invention can execute the steam data processing method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0134] According to embodiments of the present invention, the present invention also provides an electronic device, a readable storage medium, and a computer program product.

[0135] Figure 4 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0136] like Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0137] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0138] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as steam data processing methods.

[0139] In some embodiments, the steam data processing method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the steam data processing method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the steam data processing method by any other suitable means (e.g., by means of firmware).

[0140] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0141] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0142] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0143] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0144] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0145] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product within the cloud computing service system. This addresses the shortcomings of traditional physical hosts and dedicated virtual services, such as high management difficulty and weak business scalability.

[0146] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0147] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method of processing data by means of steam, characterized in that The method comprises the following steps: determining a target steam model from a steam model library in response to a viewing request of an interactive interface; finding target steam data from a state database based on the identification of the target steam model; displaying the target steam model and the target steam data based on a preset template; performing anomaly detection based on the target steam data and a data anomaly threshold to obtain an anomaly result and display the anomaly result.

2. The method of claim 1, wherein, The anomaly detection based on the target steam data and the data anomaly threshold to obtain an anomaly result and display the anomaly result comprises: calculating the target steam data based on a fouling coefficient calculation rule to obtain a fouling coefficient; performing cyclic iteration on the target steam data based on a preset cycle ratio to obtain a target cycle ratio; performing anomaly detection on the fouling coefficient and the target cycle ratio based on a data anomaly threshold to obtain an anomaly monitoring result; the anomaly monitoring result comprises anomaly steam data; associating a data label to which the anomaly steam data belongs with the anomaly steam data to obtain an anomaly result.

3. The method of claim 1, wherein, The steam model library is constructed in the following manner, comprising: obtaining attribute information of a steam generator; generating an initial steam model based on the attribute information; rendering the initial steam model based on a data label to obtain a target steam model.

4. The method of claim 3, wherein, The rendering of the initial steam model based on a data label to obtain a target steam model comprises: mapping the data label on the initial steam model based on the data label and a model position to which the data label belongs to obtain a label steam model; adding an offset position to the data label based on size information of the initial steam model; adjusting the label steam model based on the offset position to obtain a target label steam model; separating and fixing the labels in the target label steam model to obtain a target steam model.

5. The method of claim 1, wherein, The displaying of the target steam model and the target steam data based on a preset template comprises: mapping target steam data in a data label of a target steam model; obtaining key steam data in the target steam data within a preset time based on a key data label in the data label; plotting the key steam data based on a time sequence to obtain a data curve corresponding to the key data label; displaying the target steam model and the data curve based on a preset template.

6. The method of claim 1, wherein, The determination of a target steam model from a steam model library in response to a viewing request of an interactive interface comprises: analyzing the viewing request to obtain a target power plant identification and a target steam generator identification; finding a steam model library corresponding to the target power plant from a power plant library based on the target power plant identification; determining a target steam model from the steam model library based on the target steam generator identification.

7. A steam data processing apparatus, characterized by comprising: The method comprises the following steps: a determination module configured to determine a target steam model from a steam model library in response to a viewing request of an interactive interface; a finding module configured to find target steam data from a state database based on the identification of the target steam model; a display module configured to display the target steam model and the target steam data based on a preset template; an anomaly detection module configured to perform anomaly detection based on the target steam data and a data anomaly threshold to obtain an anomaly result and display the anomaly result.

8. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the steam data processing method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to implement the steam data processing method of any one of claims 1-6 when executed.

10. A computer program product, characterised in that, The computer program product comprises a computer program which, when executed by a processor, implements the steam data processing method according to any one of claims 1-6.

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