A supercritical boiler furnace water wall safety monitoring method, system, device, medium and product

Abstract

The application discloses a supercritical boiler furnace water wall safety monitoring method, system, equipment, medium and product, relates to the field of data processing and analysis, and comprises the following steps: acquiring monitoring data of electronic expansion indicators and heat flow meters at multiple different positions of a furnace water wall in real time; the monitoring data comprises expansion indication, displacement and heat flow data; stress analysis is performed on the monitoring data based on a stress data analysis system to determine a stress analysis result; and the stress condition of the furnace water wall is monitored according to the stress analysis result and a preset threshold range corresponding to the stress borne by the monitoring point of the furnace water wall, and it is judged whether early warning is needed, so that the stress condition can be effectively reflected, and the failure of the furnace water wall can be effectively reduced.

Description

Technical Field

[0001] This application relates to the field of data processing and analysis, and in particular to a method, system, equipment, medium and product for safety monitoring of water-cooled walls in supercritical boiler furnaces. Background Technology

[0002] Supercritical boilers constitute the vast majority of in-service thermal power units. New power systems place higher demands on the deep peak-shaving capacity, rapid load increases and decreases, and frequent start-stop capabilities of thermal power units, requiring them to operate flexibly. During the flexible operation of supercritical boilers, the furnace water-cooled walls become high-risk components due to drastic heat load fluctuations, susceptibility to water circulation failures, and the high-temperature corrosive environment.

[0003] Traditional mechanical expansion indicators and strain gauges have failed to establish effective data utilization and correlation mechanisms for acquiring expansion and displacement data and stress analysis. As a result, they cannot effectively reflect the stress situation of the furnace water-cooled wall caused by expansion and heat load changes during flexible operation. This leads to the failure of the furnace water-cooled wall due to stress concentration during flexible operation. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, equipment, medium, and product for safety monitoring of water-cooled walls in supercritical boiler furnaces, in order to solve the problem that the inability to effectively reflect stress conditions leads to easy failure of the water-cooled walls in the furnace.

[0005] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a safety monitoring method for the water-cooled wall of a supercritical boiler furnace, comprising installing electronic expansion indicators and heat flow meters at multiple different locations on the water-cooled wall of the furnace, including: The monitoring data of the electronic expansion indicator and the heat flow meter are acquired in real time; the monitoring data includes expansion indication, displacement, and heat flow data. The monitoring data is subjected to stress analysis based on the stress data analysis system to determine the stress analysis results. Based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring points of the furnace water-cooled wall, the stress condition of the furnace water-cooled wall is monitored to determine whether an early warning is needed.

[0006] Secondly, this application provides a safety monitoring system for the water-cooled wall of a supercritical boiler furnace, which includes electronic expansion indicators and heat flow meters installed at multiple different locations on the water-cooled wall of the furnace, comprising: The monitoring data acquisition module is used to acquire monitoring data from the electronic expansion indicator and the heat flow meter in real time; the monitoring data includes expansion indication, displacement, and heat flow data. The stress analysis result determination module is used to perform stress analysis on the monitoring data based on the stress data analysis system and determine the stress analysis result. The monitoring and early warning module is used to monitor the stress condition of the furnace water-cooled wall based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall, and to determine whether an early warning is needed.

[0007] Thirdly, this application provides 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 above-described method for safety monitoring of the water-cooled wall of a supercritical boiler furnace.

[0008] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for safety monitoring of the water-cooled wall of a supercritical boiler furnace.

[0009] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for safety monitoring of the water-cooled wall of a supercritical boiler furnace.

[0010] According to the specific embodiments provided in this application, this application has the following technical effects: This application achieves real-time and effective monitoring of the stress condition of the furnace water-cooled wall by installing electronic expansion indicators and heat flow meters at specific locations on the furnace water-cooled wall. The expansion and displacement data of the electronic expansion indicators and the heat load data of the heat flow meters are transmitted in real time to the stress data analysis system for stress analysis. Based on the analysis results of the stress data analysis system, the stress condition of the furnace water-cooled wall is monitored to determine whether an early warning is needed, thereby reducing the occurrence of furnace water-cooled wall failure. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments 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.

[0012] Figure 1 This is a flowchart illustrating a method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to one embodiment of this application. Figure 2 This is a schematic diagram of the structure of a supercritical boiler furnace water-cooled wall safety monitoring system according to one embodiment of this application. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] To make the objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] The furnace water-cooled wall system experiences relatively large pressure variations and significant working fluid temperature differences during the flexible operation of a supercritical boiler. This means that the water-cooled wall system experiences substantial internal pressure stress and temperature difference stress during frequent boiler start-ups and shutdowns, deep peak shaving, and rapid load increases and decreases, making the water-cooled wall tubes prone to fatigue. Simultaneously, during deep peak shaving and start-ups / shutdowns, the large-area expansion and contraction of the water-cooled wall tubes due to furnace heat load changes easily leads to restraint stress, especially when local expansion is hindered, resulting in excessive local structural stress that can cause tearing or fatigue. With the accumulation of damage, the high stress caused by peak shaving and start-ups / shutdowns makes the membrane water-cooled wall tubes more susceptible to failure. Therefore, tearing and other problems arising from large-area membrane heating surfaces during frequent start-ups and shutdowns and deep peak shaving boiler operation require close attention.

[0016] To reduce unplanned shutdowns of boiler units caused by furnace water-cooled wall failures, this application involves installing electronic expansion indicators and heat flow meters at multiple locations on the furnace water-cooled wall to monitor its expansion, displacement, and heat flow. The monitoring data is transmitted to a stress data analysis system, which performs real-time assessments based on the stress analysis results. This allows for timely detection of the stress status of the furnace water-cooled wall tubes during boiler operation, enabling safety monitoring based on the stress status to determine whether an early warning is needed and reduce the occurrence of furnace water-cooled wall tube failures.

[0017] This application uses an electronic expansion indicator to transmit the expansion and displacement of the furnace water-cooled wall in real time, a heat flow meter to monitor and transmit the real-time heat load data of the water-cooled wall tubes, and a stress data analysis system to analyze the expansion, displacement and heat load data of the water-cooled wall to determine the stress condition of the water-cooled wall tubes. Combined with the system's preset threshold range, it achieves safe monitoring of the furnace water-cooled wall.

[0018] like Figure 1 As shown, this application provides a method for safety monitoring of the water-cooled wall of a supercritical boiler furnace, which includes setting electronic expansion indicators and heat flow meters at multiple different locations on the water-cooled wall of the furnace, comprising: S1: Real-time acquisition of monitoring data from the electronic expansion indicator and the heat flow meter; the monitoring data includes expansion indication, displacement, and heat flow data.

[0019] S2: Perform stress analysis on the monitoring data based on the stress data analysis system to determine the stress analysis results; the stress analysis results include analysis results of mechanical stress, thermal stress, and the combined stress of mechanical stress and thermal stress.

[0020] S3: Based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall, monitor the stress condition of the furnace water-cooled wall and determine whether an early warning is needed.

[0021] This application obtains monitoring data from multiple electronic expansion indicators and heat flow meters located at different positions on the water-cooled wall of the boiler furnace. The data is transmitted to a stress data analysis system for stress analysis. Based on the setting parameters of the electronic expansion indicators and heat flow meters, a preset threshold range corresponding to the electronic expansion indicators and heat flow meters is determined. If the stress result data obtained by the stress data analysis system from the monitoring data of the electronic expansion indicators and heat flow meters exceeds the preset threshold range corresponding to the stress data analysis system, the preset threshold range corresponding to the analysis result data of the stress data analysis system is determined. Based on the preset threshold range, a prompt message is output to indicate the warning corresponding to the preset threshold range.

[0022] This application determines whether to provide an early warning by analyzing the stress data from multiple electronic expansion indicators and heat flow meters installed on the water-cooled walls of supercritical power plant boilers. This allows for direct access to the safe operating status of the water-cooled walls during flexible operation through the data from the electronic expansion indicators and heat flow meters installed on the boiler, effectively ensuring the safe operation of the water-cooled walls in supercritical power plant boilers.

[0023] In one exemplary embodiment, the electronic expansion indicator and the heat flow meter are connected to the stress data analysis system via a signal transmitter.

[0024] In practical applications, multiple electronic expansion indicators and heat flow meters are installed at different locations on the furnace water-cooled wall to monitor different data at different locations on the furnace water-cooled wall. The data collected at each location is transmitted in real time to the stress data analysis system for stress analysis.

[0025] Among them, each electronic expansion indicator and heat flow meter can be directly connected to the stress data analysis system through modules such as signal transmitters.

[0026] In an exemplary embodiment, S1 further includes: S11: Determine the preset threshold range of the electronic expansion indicator and the heat flow meter based on historical data matching the location; the preset threshold range includes the expansion indication range, the displacement range, and the heat flow range.

[0027] In practical applications, even if electronic expansion indicators and heat flow meters of the same type are located at different positions, their corresponding normal preset threshold ranges may differ. For example, the threshold values ​​of electronic expansion indicators and heat flow meters at different elevations of the furnace water-cooled wall are different. The warning threshold is the boundary value when the normal threshold range is exceeded, while the normal threshold range is the preset threshold range.

[0028] Therefore, the expansion indication, displacement data, and heat load data setting parameters of each electronic expansion indicator and heat flow meter are determined, and a corresponding preset threshold range is determined for each electronic expansion indicator and heat flow meter based on the setting parameters, so as to determine whether the data monitored by the electronic expansion indicator and heat flow meter needs to be warned before stress analysis based on the preset threshold range.

[0029] In one exemplary embodiment, the preset threshold ranges of the electronic expansion indicator and the heat flow meter differ at different elevations.

[0030] In an exemplary embodiment, the stress analysis process in S2 specifically includes: The stress data analysis system extracts and analyzes expansion indication data under different load conditions through electronic expansion indicators installed on the water-cooled walls of the boiler furnace. It compares the displacement data before and after expansion, and calculates mechanical stress by combining the mechanical property parameters of the material (which can be obtained from manuals) through the functional modules of the stress data analysis system.

[0031] The stress data analysis system extracts and analyzes heat flow data from heat flow meters installed on the water-cooled walls of the boiler furnace under different load conditions. It compares the heat flow data from the heat flow meters and combines it with the mechanical property parameters of the material (which can be obtained from manuals) to perform thermal stress calculations through the functional modules of the stress data analysis system.

[0032] The functional modules of the stress data analysis system perform combined calculations on mechanical stress and thermal stress to obtain the combined stress at the monitoring point.

[0033] In one exemplary embodiment, step S3 is preceded by: S4: Based on the position coordinates and mechanical performance data of the furnace water-cooled wall at different locations, set the setting parameters in the stress data analysis system; the setting parameters include position coordinate values, expansion indication values, displacement, and heat flow values.

[0034] S5: Determine the preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall based on the set parameters.

[0035] In practical applications, the settings parameters of the stress data analysis system are set according to the mechanical property data (such as tensile strength, creep strength, etc.) of the specific water-cooled wall tube; If the analysis results of the mechanical stress, thermal stress and their combined stress at the water-cooled wall monitoring points obtained by the stress data analysis system exceed the preset threshold range of the stress corresponding to the furnace water-cooled wall tubes.

[0036] In an exemplary embodiment, S3 specifically includes: S31: Determine whether the stress analysis result exceeds the preset threshold range. If yes, execute S32; otherwise, execute S33.

[0037] S32: If the monitoring data is found to be abnormal, output a prompt message and issue an early warning based on the prompt message; S33: Determine that the monitoring data is normal, and return to S1.

[0038] When the monitoring data from the electronic expansion indicator and heat flow meter are analyzed by the stress data analysis system and the results are within their corresponding preset threshold ranges, it indicates that the monitoring data is normal, meaning the parameters of the water-cooled wall at that location are normal and no warning is needed. When the monitoring data does not correspond to the preset threshold range of its corresponding stress analysis results, meaning the monitoring data at a certain location exceeds its corresponding preset threshold range, it indicates that the parameters of the water-cooled wall at that location are abnormal and a warning is required.

[0039] like Figure 2 As shown, this application provides a safety monitoring system for the water-cooled wall of a supercritical boiler furnace, which includes electronic expansion indicators and heat flow meters installed at multiple different locations on the water-cooled wall of the furnace, comprising: The monitoring data acquisition module 101 is used to acquire monitoring data from the electronic expansion indicator and the heat flow meter in real time; the monitoring data includes expansion indication, displacement and heat flow data.

[0040] The stress analysis result determination module 102 is used to perform stress analysis on the monitoring data based on the stress data analysis system and determine the stress analysis result.

[0041] The monitoring and early warning module 103 is used to monitor the stress condition of the furnace water-cooled wall based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall, and to determine whether an early warning is needed.

[0042] This application installs electronic expansion indicators and heat flow meters at multiple locations on the furnace water-cooled wall. The expansion and displacement data of the electronic expansion indicators and the heat flow data of the heat flow meters are transmitted in real time to a stress data analysis system for stress analysis. This enables effective monitoring of the stress condition of the furnace water-cooled wall and determines whether to provide an early warning based on the analysis results of the stress data analysis system. This allows for direct access to the data from the electronic expansion indicators and heat flow meters installed on the boiler to determine the safe operating status of the furnace water-cooled wall during flexible operation, thus ensuring the safe operation of the furnace water-cooled wall in supercritical power plant boilers.

[0043] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments. The computer device can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device stores data to be processed. The I / O interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with an external terminal via a network connection. When the computer program is executed by the processor, it implements the above-described methods.

[0044] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0045] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0046] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0047] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0048] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by hardware related to computer program instructions. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0049] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0050] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0051] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for safety monitoring of water-cooled walls in a supercritical boiler furnace, characterized in that, Electronic expansion indicators and heat flow meters are installed at multiple locations on the water-cooled walls of the furnace, including: The monitoring data of the electronic expansion indicator and the heat flow meter are acquired in real time; the monitoring data includes expansion indication, displacement, and heat flow data. The monitoring data is subjected to stress analysis based on the stress data analysis system to determine the stress analysis results. Based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring points of the furnace water-cooled wall, the stress condition of the furnace water-cooled wall is monitored to determine whether an early warning is needed.

2. The method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to claim 1, characterized in that, The electronic expansion indicator and the heat flow meter are connected to the stress data analysis system via a signal transmitter.

3. The method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to claim 1, characterized in that, The system also includes real-time acquisition of monitoring data from the electronic expansion indicator and the heat flow meter, prior to which the following steps are also taken: The preset threshold ranges of the electronic expansion indicator and the heat flow meter are determined based on historical data matching the location; the preset threshold ranges include the expansion indication range, the displacement range, and the heat flow range.

4. The method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to claim 3, characterized in that, The preset threshold ranges for electronic expansion indicators and heat flow meters differ at different elevations.

5. The method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to claim 1, characterized in that, Based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring points of the furnace water-cooled wall, the stress condition of the furnace water-cooled wall is monitored to determine whether an early warning is needed. This also includes: Based on the position coordinates and mechanical performance data of the water-cooled walls in different locations of the furnace, the setting parameters in the stress data analysis system are set; the setting parameters include position coordinate values, expansion indication values, displacement, and heat flux values; The preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall is determined based on the set parameters.

6. The method for safety monitoring of the water-cooled wall of a supercritical boiler furnace according to claim 1, characterized in that, Based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring points of the furnace water-cooled wall, the stress condition of the furnace water-cooled wall is monitored to determine whether an early warning is needed. Specifically, this includes: Determine whether the stress analysis result exceeds a preset threshold range to obtain a first determination result; If the first judgment result is yes, it is determined that the monitoring data is abnormal, a prompt message is output, and an early warning is issued based on the prompt message; If the first judgment result is negative, it is determined that the monitoring data is normal, and the system returns "Real-time acquisition of monitoring data of the electronic expansion indicator and the heat flow meter".

7. A safety monitoring system for the water-cooled wall of a supercritical boiler furnace, characterized in that, Electronic expansion indicators and heat flow meters are installed at multiple locations on the water-cooled walls of the furnace, including: The monitoring data acquisition module is used to acquire monitoring data from the electronic expansion indicator and the heat flow meter in real time; the monitoring data includes expansion indication, displacement, and heat flow data. The stress analysis result determination module is used to perform stress analysis on the monitoring data based on the stress data analysis system and determine the stress analysis result. The monitoring and early warning module is used to monitor the stress condition of the furnace water-cooled wall based on the stress analysis results and the preset threshold range corresponding to the stress at the monitoring point of the furnace water-cooled wall, and to determine whether an early warning is needed.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the supercritical boiler furnace water-cooled wall safety monitoring method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for safety monitoring of the water-cooled wall of a supercritical boiler furnace as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the method for safety monitoring of the water-cooled wall of a supercritical boiler furnace as described in any one of claims 1-6.

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