Power plant chemical supervision instrument intelligent management system and method

Abstract

The invention discloses a power plant chemical supervision instrument intelligent management system and method, and the system comprises a data collection and interface layer which is used for obtaining the detection data of a power plant; the data processing and storage layer is used for preprocessing and storing the detection data; the intelligent analysis layer is used for intelligently analyzing the preprocessed detection data to obtain an intelligent analysis result; and the application service layer is used for carrying out standardized output on the intelligent analysis result, and the system and the method can realize data acquisition, intelligent analysis, early warning diagnosis and remote monitoring.

Description

Technical Field

[0001] This invention belongs to the field of power plant chemical technology supervision and intelligent management, and relates to a smart management system and method for power plant chemical monitoring instruments. Background Technology

[0002] Chemical monitoring in power plants is a crucial aspect of ensuring the safe, economical, and environmentally friendly operation of power generation equipment. It involves monitoring and analyzing multiple systems, including water and steam systems, fuel systems, and oil systems. Traditional power plant chemical monitoring primarily relies on manual testing, paper records, and decentralized computer monitoring systems, which presents the following problems: 1) Low data acquisition and processing efficiency: Data from online chemical instruments and manual testing are mainly stored in paper records, and the statistical analysis of the data is usually done manually. Paper records are easily damaged or lost, and there are problems such as inconvenience in organizing them and time-consuming and laborious analysis and calculation.

[0003] 2) Severe information silos: Traditional chemical monitoring systems often operate independently, forming a "chimney-like" service layout, which prevents data sharing and integration, resulting in low decision-making efficiency.

[0004] 3) Delayed response to abnormalities: Traditional methods are unable to detect abnormalities in the water vapor system in a timely manner, and cannot provide early warnings or diagnoses. By the time the problem appears, it has often already caused equipment damage.

[0005] 4) Sampling process relies on manual labor: Traditional centralized water vapor sampling devices require manual sewage discharge and manual pressure adjustment, which can lead to problems such as untimely sewage discharge and inaccurate pressure adjustment, affecting the representativeness of the samples.

[0006] 5) Cumbersome report creation: Supervision reports and reports need to be created manually, which is time-consuming, labor-intensive, and prone to errors.

[0007] Therefore, there is an urgent need for a smart management platform that can integrate data collection, intelligent analysis, early warning diagnosis and remote monitoring throughout the entire process. Summary of the Invention

[0008] The purpose of this invention is to overcome the shortcomings of the prior art and provide a smart management system and method for chemical monitoring instruments in power plants. This system and method can realize data acquisition, intelligent analysis, early warning diagnosis, and remote monitoring.

[0009] To achieve the above objectives, this invention discloses an intelligent management system for chemical monitoring instruments in power plants, comprising: The data acquisition and interface layer is used to acquire the power plant's monitoring data. A data processing and storage layer is used for preprocessing and storing the detection data; The intelligent analysis layer is used to perform intelligent analysis on the preprocessed detection data to obtain intelligent analysis results. The application service layer is used to standardize the output of the intelligent analysis results.

[0010] Furthermore, the detection data includes online chemical instrument data, manual laboratory data, and equipment status data.

[0011] Furthermore, the preprocessing of the detection data includes cleaning, standardizing, and storing the detection data.

[0012] Furthermore, the process of intelligently analyzing the preprocessed detection data is as follows: The preprocessed detection data is intelligently analyzed using a water vapor quality parameter prediction model, an anomaly diagnosis model, and an equipment health status assessment model.

[0013] Furthermore, the process of standardizing the output of the intelligent analysis results is as follows: Based on the intelligent analysis results, real-time monitoring, anomaly alarms, trend analysis, report generation, and intelligent management of hazardous chemicals are performed.

[0014] Furthermore, web publishing technology is used to enable remote monitoring via web pages.

[0015] This invention discloses a smart management method for chemical monitoring instruments in power plants, comprising: Obtain monitoring data from the power plant; The detection data is preprocessed and stored; The preprocessed detection data is subjected to intelligent analysis to obtain intelligent analysis results; The intelligent analysis results are then output in a standardized manner.

[0016] Furthermore, the process of intelligently analyzing the preprocessed detection data is as follows: The preprocessed detection data is intelligently analyzed using a water vapor quality parameter prediction model, an anomaly diagnosis model, and an equipment health status assessment model.

[0017] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the intelligent management method for chemical monitoring instruments in power plants.

[0018] The present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the intelligent management method for chemical monitoring instruments in power plants.

[0019] The present invention has the following beneficial effects: In specific operation, the intelligent management system and method for power plant chemical monitoring instruments of the present invention acquires the power plant's detection data through the data acquisition and interface layer, preprocesses and stores the detection data through the data processing and storage layer, performs intelligent analysis on the preprocessed detection data through the intelligent analysis layer to obtain intelligent analysis results, and outputs the intelligent analysis results in a standardized manner through the application service layer, thereby realizing data acquisition, intelligent analysis, early warning diagnosis and remote monitoring. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a system structure diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention; Figure 3 This is a flowchart illustrating the application of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0024] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0025] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0026] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0027] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0029] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0030] Example 1 refer to Figure 1 and Figure 2 The intelligent management system for power plant chemical monitoring instruments of the present invention includes: 1) Data Acquisition and Interface Layer: Acquires test data through the device data interface, including online chemical instrument data, manual test data, and equipment status data; enables operators to conduct outdoor sampling and on-site testing and upload data in real time through intelligent handheld terminals; supports integration with existing information systems such as power plant MIS systems and SIS systems.

[0031] 2) Data processing and storage layer: Clean, standardize and store the collected data, establish a standard database and break down data silos; use cloud computing technology to achieve efficient data processing and storage.

[0032] 3) Intelligent Analysis Layer: Utilizing the data output from the data processing and storage layer, this layer constructs water vapor quality parameter prediction models, anomaly diagnosis models, and equipment health status assessment models based on machine learning algorithms. It analyzes the trends of key indicators, detects anomalies, and provides early warnings of faults.

[0033] 4) Application Service Layer: Provides real-time monitoring, anomaly alarms, trend analysis, report generation, and intelligent management functions for hazardous chemicals; adopts Web publishing technology to realize remote monitoring functions through Web pages, and process personnel can access the Web page address through devices with Internet access for remote monitoring.

[0034] It should be noted that this invention uses machine learning algorithms to analyze historical data, establishes a predictive model for water vapor quality parameters, and enables early warning and diagnosis of anomalies. It can dynamically assess equipment health status and generate problem lists and corrective measures in batches. This invention solves the problems of traditional centralized water vapor sampling devices through automatic sewage discharge, automatic pressure regulation, and intelligent flow regulation functions. Under conditions of drastic load changes such as deep peak shaving of the unit, it intelligently adjusts flow control parameters to ensure that the flow rate remains basically constant. Based on web publishing technology, this invention presents monitoring and control functions through a web page, allowing process personnel to remotely access and monitor from devices with internet access, greatly improving the convenience and real-time performance of monitoring. Based on data-driven and lean management concepts, this invention constructs a collaborative framework of "technology-organization-environment" to achieve informatization of chemical work management and intelligent anomaly diagnosis and operating condition control.

[0035] This invention has the following characteristics: This invention integrates various chemical monitoring data through the development of equipment data interfaces and the construction of standard databases, enabling data sharing and integration, and completely eliminating siloed service layouts.

[0036] This invention constructs predictive and diagnostic models based on machine learning algorithms to achieve early detection and accurate diagnosis of anomalies, preventing equipment damage and safety accidents.

[0037] This invention significantly reduces manual operations and improves work efficiency by automatically generating monitoring reports and key indicator trend charts.

[0038] This invention uses Web publishing technology to achieve remote monitoring, allowing process personnel to access the system anytime, anywhere via the Internet, thus improving the flexibility and real-time nature of monitoring.

[0039] This invention utilizes intelligent centralized water vapor sampling technology to ensure sample representativeness and measurement accuracy, providing a reliable data foundation for chemical monitoring.

[0040] Example 2 1) System hardware configuration; refer to Figure 3 The platform's lower-level monitoring section (I / O modules) uses Siemens' S7-200 series products, which are widely used in industrial control. This controller has strong environmental adaptability and is suitable for field control. By selecting different I / O modules, it receives and sends various standard signals, and achieves bidirectional data communication with the upper-level industrial computer via an RS-485 communication interface.

[0041] The upper-level monitoring is handled by an industrial computer. Monitoring personnel use a CRT to monitor the system's operation in real time, set or modify operating parameters, and remotely control the system via the CRT. The upper-level computer processes and manages data, connects to the MIS system, and configures the controller.

[0042] 2) Software system implementation; The host computer uses the WinCC system. Windows NT32's preemptive multitasking capabilities ensure rapid response to process events and provide multiple protections against data loss. WinCC is an industrial-grade neutral system based on the Windows NT32 operating system, designed to solve visualization and control tasks in production and process automation.

[0043] The lower-level control software uses STEP 7-Micro / WIN, which provides three editors for creating programs: ladder diagram (LAD), statement list (STL), and function block diagram (FBD).

[0044] 3) Implementation of intelligent analysis functions; The intelligent analysis layer constructs water vapor quality parameter prediction models, anomaly diagnosis models, and equipment health status assessment models based on machine learning algorithms. Specific implementation includes: Data preprocessing: Cleaning, denoising, and standardizing historical data to eliminate outliers and the influence of units.

[0045] Feature engineering: Select key characteristic parameters related to water vapor quality, such as pH value, conductivity, sodium ion concentration, etc.

[0046] Model training: Use historical normal and abnormal data to train the classification model and establish the discrimination boundary between normal and abnormal states.

[0047] Model validation and optimization: Use test data to validate the accuracy of the model and optimize its performance by adjusting parameters.

[0048] 4) Intelligent sampling function implemented; According to the appendix Figure 3 Intelligent centralized water vapor sampling technology is achieved through the following methods: Automatic sewage discharge: This solves the problem of unrepresentative sampling caused by untimely or even non-existent manual sewage discharge in traditional centralized water vapor sampling devices. It realizes automated sewage discharge, and the sewage discharge cycle and duration can be flexibly set.

[0049] Automatic pressure regulation: This solves the problem of pressure changes affecting the sampling flow rate when the load of the traditional centralized water vapor sampling unit changes, and realizes autonomous pressure regulation. The pressure range can be freely adjusted within 0.1~0.5MPa.

[0050] Intelligent flow regulation: This solves the problem that traditional water vapor sampling devices cannot accurately regulate the flow rate in real time, which makes it difficult to guarantee the accuracy of instrument measurements. Under conditions of drastic load changes such as deep peak shaving of the unit, the flow control parameters are intelligently adjusted to ensure that the flow rate remains basically constant.

[0051] Example 3 refer to Figure 2 The intelligent management method for power plant chemical monitoring instruments of the present invention includes: Obtain monitoring data from the power plant; The detection data is preprocessed and stored; The preprocessed detection data is subjected to intelligent analysis to obtain intelligent analysis results; The intelligent analysis results are then output in a standardized manner.

[0052] This embodiment has the following characteristics: Significantly improved work efficiency: This invention reduces manual operations and improves work efficiency through functions such as automatic data collection and automatic generation of monitoring reports. Actual measurements show that the time required to generate monitoring reports is reduced by more than 85%.

[0053] Timely and accurate anomaly warning: The intelligent diagnostic model based on machine learning in this invention can detect anomalies at an early stage, with an accuracy rate of over 96%, which greatly reduces the risk of equipment failure.

[0054] Significantly improved data quality: This invention, through intelligent centralized water vapor sampling technology, ensures the representativeness of the samples and the accuracy of the measurements, fundamentally solving the problem of distortion in water vapor quality monitoring.

[0055] Scientific and standardized management processes: This invention promotes the scientific, standardized and normalized management of processes, and improves data sharing, integration capabilities and work efficiency.

[0056] Example 4 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the intelligent management method for chemical monitoring instruments in a power plant, including, for example,: acquiring detection data from the power plant; preprocessing and storing the detection data; performing intelligent analysis on the preprocessed detection data to obtain intelligent analysis results; and standardizing the output of the intelligent analysis results. The memory may include main memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry standard architecture bus, a peripheral component interconnection standard bus, an extended industry standard architecture bus, etc. The bus can be divided into address bus, data bus, control bus, etc. The memory stores the program; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0057] Example 5 A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the intelligent management method for chemical monitoring instruments in a power plant. For example, the steps include: acquiring detection data from the power plant; preprocessing and storing the detection data; performing intelligent analysis on the preprocessed detection data to obtain intelligent analysis results; and standardizing the output of the intelligent analysis results. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0058] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. 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 program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0063] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0064] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A smart management system for chemical monitoring instruments in power plants, characterized in that, include: The data acquisition and interface layer is used to acquire the power plant's monitoring data. A data processing and storage layer is used for preprocessing and storing the detection data; The intelligent analysis layer is used to perform intelligent analysis on the preprocessed detection data to obtain intelligent analysis results. The application service layer is used to standardize the output of the intelligent analysis results.

2. The intelligent management system for power plant chemical monitoring instruments according to claim 1, characterized in that, The detection data includes online chemical instrument data, manual laboratory data, and equipment status data.

3. The intelligent management system for power plant chemical monitoring instruments according to claim 1, characterized in that, The process of preprocessing the detection data includes cleaning, standardizing, and storing the detection data.

4. The intelligent management system for power plant chemical monitoring instruments according to claim 1, characterized in that, The process of intelligently analyzing the preprocessed detection data is as follows: The preprocessed detection data is intelligently analyzed using a water vapor quality parameter prediction model, an anomaly diagnosis model, and an equipment health status assessment model.

5. The intelligent management system for power plant chemical monitoring instruments according to claim 1, characterized in that, The process of standardizing the output of the intelligent analysis results is as follows: Based on the intelligent analysis results, real-time monitoring, anomaly alarms, trend analysis, report generation, and intelligent management of hazardous chemicals are performed.

6. The intelligent management system for power plant chemical monitoring instruments according to claim 5, characterized in that, Web publishing technology is used to enable remote monitoring via web pages.

7. A method for intelligent management of chemical monitoring instruments in power plants, characterized in that, include: Obtain monitoring data from the power plant; The detection data is preprocessed and stored; The preprocessed detection data is subjected to intelligent analysis to obtain intelligent analysis results; The intelligent analysis results are then output in a standardized manner.

8. The intelligent management method for power plant chemical monitoring instruments according to claim 7, characterized in that, The process of intelligently analyzing the preprocessed detection data is as follows: The preprocessed detection data is intelligently analyzed using a water vapor quality parameter prediction model, an anomaly diagnosis model, and an equipment health status assessment model.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent management method for power plant chemical monitoring instruments as described in any one of claims 7 and 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent management method for power plant chemical monitoring instruments as described in any one of claims 7 and 8.

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