Inner wall erosion monitoring system, method and medium for steam-water separator reheater

Abstract

The invention discloses an inner wall erosion monitoring system, method and medium of a steam-water separator reheater, and relates to the field of nuclear power equipment detection. The inner wall erosion monitoring system comprises an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer; the multi-channel monitoring host is used to obtain temperature data and echo signals of an inspected part of the steam-water separator reheater at a set acquisition interval; the multi-channel monitoring host is also used to digitally process the echo signals and determine the time difference between the echo signals; based on the time difference and a preset sound speed, initial erosion residual wall thickness data is obtained, and the initial erosion residual wall thickness data and the temperature data are transmitted to the host computer; the host computer is used to correct the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data; based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

Description

Technical Field

[0001] The invention relates to the field of nuclear power equipment detection, and in particular to an inner wall erosion monitoring system, method and medium for a steam-water separation reheater. Background Art

[0002] In the steam turbine units of nuclear power plants, saturated steam units are usually used. Among them, saturated steam units usually include steam generators and high-pressure cylinders. Their working principle is that the saturated steam generated by the steam generator is sent to the high-pressure cylinder for work, and the exhaust steam humidity of the last stage of the high-pressure cylinder can usually only reach 14.2%. If this high-humidity steam is directly sent to the low-pressure cylinder, cavitation and water hammer may occur in the low-pressure cylinder, seriously affecting the service life of the saturated steam unit.

[0003] In order to avoid these problems, nuclear power plants have introduced a Moisture Separator Reheater (MSR) between the high-pressure cylinder and the low-pressure cylinder. The function of the Moisture Separator Reheater is to separate and reheat the steam discharged from the high-pressure cylinder, so that the steam entering the low-pressure cylinder is superheated steam, thereby reducing the erosion of the low-pressure cylinder blades. However, because the Moisture Separator Reheater is in a harsh environment of high temperature and high corrosion during operation, the inner wall of the Moisture Separator Reheater is eroded to varying degrees. This erosion not only affects the performance of the Moisture Separator Reheater, but also shortens its service life.

[0004] At present, traditional detection methods such as X-ray detection and magnetic particle detection have certain limitations in high temperature and corrosive environments, especially in situations where long-term, real-time monitoring is required. For example, although X-ray detection can detect defects inside the material, the imaging quality of X-ray detection will be affected in high temperature environments. In addition, X-ray detection cannot provide data in real time. For long-term monitoring and dynamic evaluation, the operation is complicated and not suitable for online real-time monitoring. Magnetic particle detection is suitable for detecting surface and near-surface defects, but its limitation is that it cannot be used for real-time detection in high temperature or highly corrosive environments. Therefore, how to conduct real-time detection of the degree of erosion on the inner wall of the steam-water separator reheater is an urgent problem to be solved. Summary of the invention

[0005] The embodiments of the present invention provide a system, method and medium for monitoring the inner wall erosion of a steam-water separator reheater, so as to solve the technical problem that the prior art cannot detect the erosion degree of the inner wall of the steam-water separator reheater in real time.

[0006] In a first aspect, a system for monitoring inner wall erosion of a steam-water separator reheater is provided, wherein the system comprises an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer;

[0007] The multi-channel monitoring host is used to obtain temperature data and echo signals of the inspected part of the steam-water separator reheater at a set collection interval, wherein the temperature data is collected by a temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signals are collected by an erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater;

[0008] The multi-channel monitoring host is also used to digitally process the echo signal, determine the time difference between the echo signals, and the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor; based on the time difference and the preset sound speed, obtain the initial erosion residual wall thickness data, and transmit the initial erosion residual wall thickness data and the temperature data to the host computer;

[0009] The host computer is used to correct the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data; based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0010] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion remaining wall thickness data includes:

[0011] Obtaining target erosion residual wall thickness data of each monitoring point of the inspected part of the steam-water separator reheater;

[0012] Based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, a curve of erosion residual wall thickness data variation of the inspected part of the steam-water separator reheater is generated, wherein the curvature integral interpolation algorithm is determined by the geometric shape of the steam-water separator reheater and the distribution characteristics of the target erosion residual wall thickness data of all monitoring points;

[0013] Based on the erosion residual wall thickness data change curve, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0014] In one embodiment, the erosion residual wall thickness data variation curve of the inspected part of the steam-water separator reheater is generated based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, including:

[0015] Preprocessing the target erosion residual wall thickness data to obtain preprocessed target erosion residual wall thickness data;

[0016] Based on the curvature integral interpolation algorithm, interpolation calculation is performed on the pre-processed target erosion residual wall thickness data of each monitoring point to obtain interpolation point erosion residual wall thickness data;

[0017] According to the spatial position or time sequence of each monitoring point and the interpolation point at the inspected part of the steam-water separator reheater, the pre-processed target erosion residual wall thickness data of each monitoring point and the erosion residual wall thickness data of the interpolation point are combined to obtain a combined result;

[0018] Based on the combination result, a data change curve of the residual erosion wall thickness of the inspected part of the steam-water separator reheater is generated. In one embodiment, before the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the residual erosion wall thickness data change curve, the method includes:

[0019] Calculate the root mean square error between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data at each monitoring point using a root mean square error judgment method;

[0020] Determining whether the root mean square error is within a preset range;

[0021] When the root mean square error is not within the preset range, adjusting the parameters of the curvature integral interpolation algorithm until the root mean square error is within the preset range;

[0022] When the root mean square error is within the preset range, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time based on the erosion residual wall thickness data change curve.

[0023] In one embodiment, the digital processing of the echo signals to determine the time difference between the echo signals includes:

[0024] Converting the echo signal into a digital signal;

[0025] Extracting features from the digital signal to obtain feature points of the echo signal, wherein the feature points include a peak value, a valley value or a zero-crossing point of each echo;

[0026] The time difference between the echo signals is determined based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor.

[0027] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion remaining wall thickness data further includes:

[0028] Obtaining a preset three-dimensional model of the steam-water separator reheater;

[0029] Based on the monitoring points of the inspected part of the steam-water separator reheater, marking the preset three-dimensional model to obtain marked monitoring points;

[0030] Establishing a correlation relationship between the target erosion residual wall thickness data of the monitoring point and the marked monitoring point;

[0031] Based on the correlation between the target erosion residual wall thickness data and the marked monitoring point, the preset three-dimensional model is rendered in real time to achieve real-time rendering of the erosion state of the inner wall of the steam-water separator reheater.

[0032] In one embodiment, the correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data includes:

[0033] Correcting the initial erosion residual wall thickness data based on a first preset formula and the temperature data to obtain the target erosion residual wall thickness;

[0034] Among them, the first preset formula is as follows:

[0035]

[0036]

[0037] in, Erosion residual wall thickness for the target; The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

[0038] In a second aspect, a method for monitoring inner wall erosion of a steam-water separator reheater is provided, which is applied to a multi-channel monitoring host, and the method comprises:

[0039] Acquiring temperature data and echo signals of the inspected part of the steam-water separator reheater at a set acquisition interval, wherein the temperature data is acquired by a temperature sensor disposed at the inspected part of the steam-water separator reheater, and the echo signals are acquired by a erosion monitoring sensor disposed at the inspected part of the steam-water separator reheater;

[0040] Digitally process the echo signal to determine the time difference between the echo signals, where the time difference is the time difference between consecutive echo signals collected by the erosion monitoring sensor;

[0041] Based on the time difference and the preset sound speed, the initial erosion remaining wall thickness data is obtained, and the initial erosion remaining wall thickness data and the temperature data are transmitted to the host computer, so that the host computer corrects the initial erosion remaining wall thickness data based on the temperature data to obtain the target erosion remaining wall thickness data, and based on the target erosion remaining wall thickness data, the erosion state of the inner wall of the steam-water separation reheater is rendered in real time.

[0042] In a third aspect, a method for monitoring inner wall erosion of a steam-water separator reheater is provided, which is applied to a host computer, and the method comprises:

[0043] Receive the initial erosion residual wall thickness data and temperature data transmitted by the multi-channel monitoring host, the initial erosion residual wall thickness data is determined by the time difference and the preset sound speed, the time difference is determined by the multi-channel monitoring host performing digital processing on the echo signal, the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor, the temperature data is collected by the temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signal is collected by the erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater;

[0044] Correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data;

[0045] Based on the target erosion remaining wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0046] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for monitoring the inner wall erosion of a steam-water separator reheater according to the second aspect is implemented, or when the computer program is executed by a processor, the method for monitoring the inner wall erosion of a steam-water separator reheater according to the third aspect is implemented.

[0047] In a solution provided by an embodiment of the present invention, the inner wall erosion monitoring system includes an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer; the multi-channel monitoring host obtains temperature data and echo signals through a set collection interval, the echo signal is used to determine the time difference between consecutive echo signals, and the initial erosion residual wall thickness data is obtained in combination with a preset sound speed calculation; the host computer corrects the wall thickness data based on the temperature data, generates target erosion residual wall thickness data, and renders the erosion state of the inner wall of the steam-water separator reheater in real time, which solves the problem that the prior art cannot detect the degree of erosion of the inner wall of the steam-water separator reheater in real time, not only improves the monitoring efficiency, but also reduces manual operation, meets the needs of long-term online monitoring and dynamic evaluation, and improves the operating safety and reliability of the nuclear power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0049] Figure 1 is a schematic diagram of an inner wall erosion monitoring system in one embodiment of the present invention;

[0050] Figure 2 is a rendering of the inner wall erosion state of the steam-water separator reheater in one embodiment of the present invention;

[0051] Figure 3 It is an online monitoring 3D rendering software architecture diagram of an inner wall erosion monitoring system in one embodiment of the present invention;

[0052] Figure 4 is a flow chart of a method for monitoring inner wall erosion of a steam-water separator reheater in one embodiment of the present invention;

[0053] Figure 5 It is another flow chart of the inner wall erosion monitoring method of the steam-water separator reheater in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] The inner wall erosion monitoring system of a steam-water separator reheater provided in an embodiment of the present invention can be applied to industrial equipment under high temperature and high pressure environment, for example, reheaters and boilers used in nuclear power plants, electric power, petrochemical, metallurgy and other industries, without specific limitation. Through the inner wall erosion monitoring system of the steam-water separator reheater, long-term online monitoring of the equipment can be achieved, erosion problems inside the equipment can be discovered in time, accidents can be avoided and the service life of the equipment can be extended.

[0056] The existing technology mainly includes two ultrasonic technologies: electromagnetic ultrasound and piezoelectric ultrasound. The two ultrasonic technologies have significant differences in principle and application. The following will introduce the two ultrasonic technologies of electromagnetic ultrasound and piezoelectric ultrasound as follows:

[0057] In terms of principle, electromagnetic ultrasonic technology uses the principle of electromagnetic induction to generate an alternating magnetic field in an electromagnetic coil through an alternating current, which in turn generates an induced current in the conductor being measured. These induced currents form eddy currents and interact with the magnetic field to excite ultrasonic waves. Piezoelectric ultrasound relies on the piezoelectric effect, using the deformation of piezoelectric materials (such as quartz crystals, barium titanate, etc.) when subjected to mechanical stress or electric fields to emit ultrasonic waves. Piezoelectric ceramics, as vibrating elements, cause deformation when an electric field is applied, causing the gas or liquid to oscillate and generate ultrasonic waves.

[0058] In terms of application fields, electromagnetic ultrasound is widely used in fields such as metal non-destructive testing and medical diagnosis due to its advantages of non-contact and no need for coupling agents; while piezoelectric ultrasound is more used in material quality control and flow measurement.

[0059] In terms of detection methods, electromagnetic ultrasound can achieve non-contact detection without direct contact with the object being measured, and is suitable for complex working environments. Piezoelectric ultrasound usually requires direct contact with the object being measured, or energy exchange through a coupling medium. In addition, electromagnetic ultrasound equipment has lower requirements for metal surfaces and can transmit ultrasound waves completely perpendicular to the metal surface, while piezoelectric ultrasound equipment has higher requirements for the smoothness of the metal surface and the coupling effect, which directly affects the accuracy of the test results.

[0060] The present invention adopts electromagnetic ultrasonic technology to generate an alternating magnetic field in an electromagnetic coil through an alternating current, thereby generating an induced current in the conductor. These induced currents form eddy currents and interact with the magnetic field, thereby exciting ultrasonic waves. This process has the advantage of being non-contact, without the need for direct contact with the object being measured, and without the need for the use of coupling agents, and is particularly suitable for complex industrial environments. Therefore, the use of electromagnetic ultrasonic technology in the present invention can effectively overcome the shortcomings of traditional piezoelectric ultrasonic technology in achieving efficient and accurate erosion monitoring, provide a more flexible and efficient solution, and ensure the safe and reliable operation of the equipment.

[0061] The following is a detailed introduction to an inner wall erosion monitoring system of a steam-water separator reheater provided by an embodiment of the present invention:

[0062] First, as Figure 1 and Figure 2 As shown, an embodiment of the present invention provides an inner wall erosion monitoring system for a steam-water separator reheater, wherein the inner wall erosion monitoring system includes an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer.

[0063] In this embodiment, the erosion monitoring sensor may be an electromagnetic ultrasonic sensor or other sensor that can generate electromagnetic ultrasound, which is not limited here. The erosion monitoring sensor may be arranged on the outer wall of the steam-water separator reheater that is susceptible to fluid erosion and corrosion. For example, the erosion monitoring sensor may be arranged along multiple detection points on the outer wall of the steam-water separator reheater to cover the area most severely eroded. The erosion monitoring sensor generates ultrasonic echo signals inside the steam-water separator reheater based on the electromagnetic ultrasonic principle for transmission and reception.

[0064] The temperature sensor is used to monitor the temperature changes of the steam-water separator reheater and can be set in the high temperature area of ​​the steam-water separator reheater. As an example, the temperature sensor can be placed on the outer wall of the steam-water separator reheater like the erosion monitoring sensor, for example, near the fluid inlet and outlet or the part where the heat source is concentrated.

[0065] The multi-channel monitoring host may include a timing measurement module, a data processing module and a transmission module. The timing measurement module is used to periodically collect data from the temperature sensor and the erosion monitoring sensor at a set collection interval, and the data processing module is used to digitally process the echo signal transmitted from the erosion monitoring sensor to extract effective information.

[0066] The host computer is used to receive and integrate the temperature data and the initial erosion residual wall thickness data, and based on the influence of temperature on the sound velocity, correct the initial erosion residual wall thickness data to generate the target erosion residual wall thickness data.

[0067] In one embodiment, the multi-channel monitoring host is used to obtain temperature data and echo signals of the inspected part of the steam-water separator reheater at a set collection interval, the temperature data is collected by a temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signal is collected by an erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater.

[0068] As an example, the multi-channel monitoring host regularly sends acquisition signals to the erosion monitoring sensor and temperature sensor installed on the inspected part of the steam-water separator reheater through the timing measurement module, so that the erosion monitoring sensor and the temperature sensor collect data. Specifically, when the erosion monitoring sensor receives the acquisition signal, it uses electromagnetic ultrasonic technology to emit an ultrasonic signal, which reaches the inner wall of the steam-water separator reheater after a certain period of time and reflects the echo signal on the inner wall. Subsequently, these reflected echo signals are received by the erosion monitoring sensor and sent back to the multi-channel monitoring host. At the same time, the temperature sensor monitors the temperature of the inspected part of the steam-water separator reheater, and transmits the acquired temperature data to the host computer in real time through the transmission module of the multi-channel monitoring host, which provides data support for the subsequent real-time rendering of the erosion state of the steam-water separator reheater.

[0069] In one embodiment, the multi-channel monitoring host is also used to digitally process the echo signal to determine the time difference between the echo signals, where the time difference is the time difference between consecutive echo signals collected by the erosion monitoring sensor; based on the time difference and the preset sound speed, the initial erosion residual wall thickness data is obtained, and the initial erosion residual wall thickness data and the temperature data are transmitted to the host computer.

[0070] As an example, first, the multi-channel monitoring host will amplify the received echo signal to enhance the signal strength, thereby improving the accuracy and reliability of subsequent processing. Then, the amplified echo signal is digitized to reduce the impact of noise and interference on the echo signal collected by the erosion monitoring sensor in actual applications. Finally, the time difference between the echo signals is determined based on the processed echo signal, where the time difference refers to the time difference between the continuous echo signals collected by the erosion monitoring sensor, for example, the time difference between the echoes generated by the ultrasonic wave on the inner and outer walls of the steam-water separation reheater and received by the ultrasonic probe. For example, during the initial monitoring, the timestamp of the inner wall echo signal is 100 milliseconds, while the timestamp of the outer wall echo signal is 150 milliseconds, and the time difference between the two is 50 milliseconds.

[0071] Further, the multi-channel monitoring host is used to calculate the initial erosion residual wall thickness data based on the time difference and the preset sound speed. Specifically, since the propagation speed of sound waves in different materials and at different temperatures is known, in this embodiment, the preset sound speed can be adjusted and preset according to the material properties and the sound speed of the medium in the actual working environment (such as the sound speed in steel is usually about 5900 meters / second). Next, the time difference and the preset sound speed are calculated by the following formula to obtain the initial erosion residual wall thickness data:

[0072]

[0073] in, is the time difference between echo signals; is a preset sound velocity (for example, the propagation speed of ultrasonic shear waves at room temperature (such as 25°C)).

[0074] The "2" in this formula is because the ultrasonic wave needs to be emitted from the erosion sensor to the inner wall and reflected back, passing through two distances. Therefore, the calculated wall thickness data is the actual penetration thickness of the ultrasonic wave on the inner wall. For example, if the preset sound speed is 5900 m / s and the time difference is 10 microseconds, the corresponding initial erosion residual wall thickness calculated by the above formula is 29.5 microns. After obtaining the initial erosion residual wall thickness data, the multi-channel monitoring host integrates these initial erosion residual wall thickness data with the real-time temperature data obtained by the temperature sensor, and transmits them to the upper computer database to ensure that the erosion monitoring system of the inner wall of the steam-water separator reheater can continuously and accurately monitor the equipment status in a high temperature and high pressure environment, effectively prevent equipment accidents, and extend the service life of the steam-water separator reheater.

[0075] It is understandable that the multi-channel monitoring host is not limited to processing data at a single time point. It can continuously collect echo signals at multiple time points within the set acquisition interval. For example, every 1 second, the multi-channel monitoring host will receive a set of echo signals from the erosion monitoring sensor. By analyzing these continuous signals, the multi-channel monitoring host can further track the dynamic changes in wall thickness, thereby monitoring the trend and speed of erosion. If the time difference becomes 8 microseconds in subsequent acquisitions, it can be inferred that the thickness of the inner wall has decreased, which may mean that the erosion is intensifying. By summarizing these continuous wall thickness data, the multi-channel monitoring host can generate a series of preliminary erosion residual wall thickness data reflecting the corrosion status of the inner wall of the reheater, and transmit these data together with the temperature data to the host computer.

[0076] In one embodiment, the host computer is used to correct the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data; based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separation reheater is rendered in real time.

[0077] As an example, after the host computer receives the temperature data and initial erosion residual wall thickness data transmitted by the multi-channel monitoring host, the above data is further stored in the database, so that the online monitoring three-dimensional rendering software can read the temperature data and initial erosion residual wall thickness data from the database, and correct the initial erosion residual wall thickness data of each monitoring point based on the temperature data, so as to obtain accurate target erosion residual wall thickness data, or, after the host computer receives the temperature data and initial erosion residual wall thickness data transmitted by the multi-channel monitoring host, it directly corrects the initial erosion residual wall thickness data of each monitoring point based on the temperature data, so as to obtain accurate target erosion residual wall thickness data, so as to solve the problem of inaccurate initial erosion residual wall thickness data when the steam-water separation reheater works in a high-temperature environment because the speed of sound is greatly affected by temperature. Among them, Figure 3 The software architecture diagram of the online monitoring 3D rendering software is shown in FIG. Specifically, in the online monitoring 3D rendering software, the user can select the display form of the inner wall erosion state of the steam-water separator reheater according to the needs. It should be understood that the above is only an example and does not constitute a limitation of the present invention.

[0078] In one embodiment, the method of correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data comprises the following steps:

[0079] Correcting the initial erosion residual wall thickness data based on a first preset formula and the temperature data to obtain the target erosion residual wall thickness;

[0080] Among them, the first preset formula is as follows:

[0081]

[0082]

[0083] in, The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

[0084] For example, suppose the initial erosion residual wall thickness data of a certain monitoring point is 28.5 mm, and the temperature data of the monitoring point is 350°C. According to the relationship between the speed of sound and temperature, the speed of sound usually increases with the increase of temperature. The speed of sound at normal temperature is 5900 m / s, while in a working environment of 350°C, the speed of sound may reach 6200 m / s. The host computer will correct the preliminary wall thickness data according to this temperature. The specific method is to calculate according to the first preset formula:

[0085]

[0086] After temperature correction, the target erosion residual wall thickness of the monitoring point may be adjusted from 28.5 mm to 27.0 mm. Based on these temperature-corrected target erosion residual wall thickness data, the host computer renders the inner wall erosion state of the steam-water separator reheater in real time.

[0087] It should be noted that, as shown in Table 1, the above first preset formula is derived in advance based on experiments and has a special effect. The following is an analysis process of measuring the initial erosion residual wall thickness data of multiple monitoring points at different temperatures and calculating the target erosion residual wall thickness data after temperature correction:

[0088] Table 1

[0089] Target erosion residual wall thickness calculation formula:

[0090]

[0091] Comparison of data before and after correction:

[0092] At monitoring point 1 at 350°C, the initial wall thickness is 28.5 mm, and the corrected wall thickness is 29.4 mm, with a difference of +0.9 mm;

[0093] At monitoring point 2 at 300°C, the initial wall thickness is 30.0 mm, and the corrected wall thickness is 30.6 mm, with a difference of +0.6 mm;

[0094] At 250°C, the initial wall thickness at monitoring point 3 is 27.0 mm, and the corrected wall thickness is 27.7 mm, with a difference of +0.7 mm;

[0095] At 200°C, the initial wall thickness at monitoring point 4 is 29.0 mm, and the corrected wall thickness is 29.5 mm, with a difference of +0.5 mm;

[0096] At monitoring point 5 at 150°C, the initial wall thickness is 25.5 mm, and the corrected wall thickness is 25.8 mm, with a difference of +0.3 mm;

[0097] At 400°C, the initial wall thickness at monitoring point 6 was 32.0 mm, and the corrected wall thickness was 32.9 mm, with a difference of +0.9 mm.

[0098] The experimental results show that the target erosion residual wall thickness data after correction has increased significantly compared with that before correction, indicating that the correction through this formula effectively overcomes the measurement error caused by temperature change and is creative. The difference values ​​are all positive, indicating that this correction method can effectively improve the accuracy of measurement and has good practicality. Therefore, by introducing the temperature factor and correcting the initial erosion residual wall thickness data through the first preset formula and temperature data, not only the accuracy of wall thickness measurement is improved, but also its innovative application in high temperature environment is demonstrated, which promotes the development of safety monitoring technology of steam-water separation reheater.

[0099] Furthermore, the host computer can also provide a visual analysis function of historical data according to user needs. Users can select erosion data for a specific time period through the display interface, and the host computer system will present the erosion state changes of the inner wall of the reheater during this time period. By comparing data at different time points, users can clearly see which areas of the inner wall are thinning faster and which areas are relatively stable, thus providing a scientific basis for equipment repair and maintenance.

[0100] In summary, in a solution provided by an embodiment of the present invention, the inner wall erosion monitoring system includes an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer; the multi-channel monitoring host obtains temperature data and echo signals through a set acquisition interval, and the echo signal is used to determine the time difference between continuous echo signals, and the initial erosion residual wall thickness data is obtained in combination with the preset sound speed calculation; the host computer corrects the wall thickness data based on the temperature data, generates the target erosion residual wall thickness data, and renders the erosion state of the inner wall of the steam-water separation reheater in real time. This process not only improves the monitoring efficiency, but also reduces manual operations, meets the needs of long-term online monitoring and dynamic evaluation, and improves the operating safety and reliability of nuclear power plants.

[0101] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion residual wall thickness data includes the following steps:

[0102] Obtaining target erosion residual wall thickness data of each monitoring point of the inspected part of the steam-water separator reheater;

[0103] Based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, a curve of erosion residual wall thickness data variation of the inspected part of the steam-water separator reheater is generated, wherein the curvature integral interpolation algorithm is determined by the geometric shape of the steam-water separator reheater and the distribution characteristics of the target erosion residual wall thickness data of all monitoring points;

[0104] Based on the erosion residual wall thickness data change curve, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0105] As an example, the target erosion residual wall thickness data of each monitoring point of the inspected part of the steam-water separator reheater is obtained. For example, the target erosion residual wall thickness data calculated at the five monitoring points of the inspected part of the steam-water separator reheater are: monitoring point A (28.5 mm), monitoring point B (27.8 mm), monitoring point C (29.0 mm), monitoring point D (26.5 mm) and monitoring point E (30.2 mm). Based on the above target erosion residual wall thickness data, the curvature integral interpolation algorithm is applied for calculation, and the obtained erosion residual wall thickness data change curve of the inspected part of the steam-water separator reheater shows the wall thickness change trend of different monitoring points. Among them, the curvature integral interpolation algorithm is determined by the geometric shape of the steam-water separator reheater and the distribution characteristics of the target erosion residual wall thickness data. The distribution characteristics of the target erosion residual wall thickness data refer to the probability of the target erosion residual wall thickness data taking different thickness values, for example, the probability that the thickness of a certain monitoring point falls near a certain value. Further using rendering software, based on the generated erosion residual wall thickness data change curve, real-time visualization of the erosion state of the inner wall of the steam-water separator reheater was carried out, realizing real-time monitoring and visualization of the erosion state of the inner wall of the steam-water separator reheater, providing reliable data support for the safe operation of the equipment.

[0106] For example, assume that the target erosion residual wall thickness data of five monitoring points are obtained at the inspected part, as follows:

[0107] Monitoring point A: 28.5 mm; Monitoring point B: 27.8 mm; Monitoring point C: 29.0 mm; Monitoring point D: 25.5 mm; Monitoring point E: 30.2 mm.

[0108] Based on these target data, the curvature integral interpolation algorithm is used to generate a change curve. Assume that the calculation results show that the thickness change of these monitoring points presents a relatively smooth curve, for example, a smooth blue line. In the rendering software, based on the change curve, the inner wall of the steam-water separator reheater is visualized. For example, if the threshold is set to 26 mm, the host computer system will color-code according to the thickness data:

[0109] Monitoring point A (28.5 mm): green (normal);

[0110] Monitoring point B (27.8 mm): green (normal);

[0111] Monitoring point C (29.0 mm): green (normal);

[0112] Monitoring point D (25.5 mm): yellow (warning);

[0113] Monitoring point E (30.2 mm): green (normal);

[0114] In the rendering, monitoring point D is marked in yellow, indicating that the erosion degree of this area needs attention, and other monitoring points are shown in green, indicating that they are in good condition. It should be noted that the above is only an example and does not constitute a limitation of the present invention.

[0115] In one embodiment, if Figure 2 As shown, the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point are used to generate the erosion residual wall thickness data change curve of the inspected part of the steam-water separator reheater, which includes the following steps:

[0116] Preprocessing the target erosion residual wall thickness data to obtain preprocessed target erosion residual wall thickness data;

[0117] Based on the curvature integral interpolation algorithm, interpolation calculation is performed on the pre-processed target erosion residual wall thickness data of each monitoring point to obtain interpolation point erosion residual wall thickness data;

[0118] According to the spatial position or time sequence of each monitoring point and the interpolation point at the inspected part of the steam-water separator reheater, the pre-processed target erosion residual wall thickness data of each monitoring point and the erosion residual wall thickness data of the interpolation point are combined to obtain a combined result;

[0119] Based on the combination result, a data variation curve of the erosion residual wall thickness of the inspected part of the steam-water separator reheater is generated.

[0120] In this embodiment, the preprocessing includes noise filtering, outlier correction and data smoothing. Among them, noise filtering can effectively eliminate noise signals introduced by environmental vibration or electromagnetic interference; outlier correction can identify and correct erroneous data caused by instantaneous signal distortion; data smoothing can make the change curve of wall thickness data more coherent, avoiding unnecessary misjudgment due to data fluctuations.

[0121] As an example, the target erosion residual wall thickness data is obtained and preprocessed to eliminate noise and interference in the data. Next, the curvature integral interpolation algorithm is used to interpolate the preprocessed data of each monitoring point to fill the monitoring blind area, obtain detailed interpolation point erosion residual wall thickness data, and integrate the erosion residual wall thickness data of each monitoring point and interpolation point according to the spatial position or time series of the inspected part of the steam-water separation reheater to form a continuously changing erosion residual wall thickness data matrix (combined result). Finally, based on the erosion residual wall thickness data matrix, a two-dimensional change curve diagram of the change trend of the erosion residual wall thickness data is generated, so that the change curve diagram can intuitively display the wall thickness changes at different monitoring points, which is convenient for subsequent analysis and real-time monitoring.

[0122] For example, in the monitoring system of the steam-water separator reheater, it is assumed that multiple monitoring points are set at the inspected part, marked as A, B, C, D, and E. The target erosion residual wall thickness data is: 10.5 mm at point A, 9.8 mm at point B, 9.0 mm at point C, 8.2 mm at point D, and 7.5 mm at point E. Considering the possible noise and irregularity in the data, these data are further preprocessed, and the outliers are removed by filtering algorithm. After preprocessing, more accurate preprocessed target erosion residual wall thickness data are obtained: 10.4 mm at point A, 9.7 mm at point B, 9.1 mm at point C, 8.3 mm at point D, and 7.6 mm at point E. Next, based on the curvature integral interpolation algorithm, the residual wall thickness values ​​between the monitoring points (i.e., the interpolation point erosion residual wall thickness) are calculated. Assume that the calculation results show that the wall thickness value at the interpolation point F between A and B is 9.9 mm, and the wall thickness value at the interpolation point G between B and C is 9.4 mm, and so on, the values ​​of the intermediate points H and I are 8.8 mm and 8.0 mm respectively. Finally, the remaining wall thickness values ​​of all monitoring points and interpolation points are integrated into a change curve, specifically: point A 10.4 mm, point F 9.9 mm, point B 9.7 mm, point G 9.4 mm, point C 9.1 mm, point H 8.8 mm, point D 8.3 mm, point I 8.0 mm, point E 7.6 mm. This curve not only reflects the erosion trend of the inspected parts, but also provides intuitive data support for engineers, helping them make maintenance decisions and respond to potential equipment failures in a timely manner, thereby effectively extending the service life of the equipment and ensuring safe operation. It should be noted that the above is only an example and does not constitute a limitation of the present invention.

[0123] In one embodiment, before the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the erosion residual wall thickness data change curve, the following steps are included:

[0124] Calculate the root mean square error between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data at each monitoring point using a root mean square error judgment method;

[0125] Determining whether the root mean square error is within a preset range;

[0126] When the root mean square error is not within the preset range, adjusting the parameters of the curvature integral interpolation algorithm until the root mean square error is within the preset range;

[0127] When the root mean square error is within the preset range, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time based on the erosion residual wall thickness data change curve.

[0128] As an example, in order to ensure that the generated erosion residual wall thickness data change curve has sufficient accuracy, the root mean square error (RMSE) evaluation method is further used to calculate the error between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data of each monitoring point. Specifically, the calculation formula of the root mean square error is as follows:

[0129]

[0130] in, The residual wall thickness data of the erosion residual wall thickness data change curve; is the target erosion residual wall thickness data of the corresponding point, is the number of points.

[0131] Next, the calculated root mean square error is compared with the preset error range. The preset error range is determined by the engineering design requirements or industry standards of the steam-water separator reheater, and is used to determine whether the accuracy of the generated erosion residual wall thickness data change curve meets the accuracy requirements. If the root mean square error is not within the preset error range, it means that the accuracy of the generated erosion residual wall thickness data change curve does not meet the requirements. For example, if the preset error range is ±0.5 mm, and the calculated root mean square error is 0.8 mm, the parameters of the curvature integral interpolation algorithm, such as the order or weight coefficient of the interpolation function, will be automatically adjusted at this time, and the root mean square error will be recalculated after each adjustment until the error value reaches the preset range. When the root mean square error is within the preset error range, the inner wall erosion state of the steam-water separator reheater is rendered in real time based on the corrected erosion residual wall thickness data change curve.

[0132] For example, suppose that in a certain monitoring period, the following target erosion residual wall thickness data are recorded for the inner wall of the steam-water separator reheater: 20.0 mm at monitoring point A, 19.5 mm at monitoring point B, 21.0 mm at monitoring point C, and 18.8 mm at monitoring point D. In the generated erosion residual wall thickness data change curve, the values ​​corresponding to monitoring points A, B, C, and D are 19.8 mm, 19.2 mm, 20.5 mm, and 19.0 mm, respectively. The root mean square error formula is used to calculate the RMSE to be 0.5 mm (the specific calculation is ). Since the set error range is ±0.5 mm, the root mean square error is within the preset error range at this time. Next, the erosion state of the inner wall of the steam-water separation reheater is rendered in real time based on this change curve. If in another monitoring cycle, the calculated root mean square error is 0.6 mm, which exceeds the preset error range, the parameters of the curvature integral interpolation algorithm will be adjusted. For example, increase the interpolation order, or recalibrate the input data to improve the fitting accuracy. After adjustment, calculate again. If the root mean square error drops to 0.4 mm, return to the real-time rendering step. It should be noted that the above is only an example and does not constitute a limitation of the present invention.

[0133] It can be understood that in addition to the root mean square error (RMSE) evaluation method, the present invention can also evaluate the degree of fit between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data by the following methods, for example, mean absolute error (MAE): calculate the absolute error of each data point, and then find its average value to evaluate the overall prediction accuracy; determination coefficient (R²): evaluate the explanatory power of the erosion residual wall thickness data change curve for the target erosion residual wall thickness data through regression analysis, the closer the value is to 1, the better the fit; correlation coefficient (Pearson Correlation Coefficient): measure the linear relationship between the change curve and the target data, ranging from -1 to 1, the closer to 1, the stronger the correlation; standard deviation (SD): analyze the distribution of the predicted value, and understand the fluctuation of the predicted value and the target value through the standard deviation, which is not limited here.

[0134] In one embodiment, the step of digitally processing the echo signals to determine the time difference between the echo signals includes the following steps:

[0135] Converting the echo signal into a digital signal;

[0136] Extracting features from the digital signal to obtain feature points of the echo signal, wherein the feature points include a peak value, a valley value or a zero-crossing point of each echo;

[0137] The time difference between the echo signals is determined based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor.

[0138] As an example, first, the echo signal is converted into a digital signal by an analog-to-digital converter to ensure that the signal can be operated and analyzed in digital form during subsequent processing. The converted digital signal contains the amplitude and time information of each echo. Next, the digital signal is feature extracted to identify and locate the key feature points in the echo signal. The feature extraction process includes finding the peak, valley and zero crossing point of each echo. These feature points can effectively reflect the changing trend of the signal. For example, during a certain monitoring period, the digital signal presents multiple echoes, and the multi-channel monitoring host can automatically identify the peak points of adjacent echoes and their corresponding timestamps through algorithms. By analyzing the relationship between these feature points, the time difference between two adjacent echo peaks, or the time difference between two adjacent valleys, or the time difference between two adjacent zero crossings is calculated.

[0139] Specifically, during a signal acquisition process, the multi-channel monitoring host recognizes that the peak of the first echo (for example, the inner wall echo signal) is at time point t1, and the peak of the second echo (for example, the outer wall echo signal) is at time point t2. = t2 - t1, which is the time difference between the required echo signals. For example, the peak timestamp of the first echo is t1 = 0.002 seconds, and the peak timestamp of the second echo is t2 = 0.005 seconds. In addition, two valleys are also identified, at 0.004 seconds and 0.008 seconds respectively; two zero crossings are at 0.003 seconds and 0.007 seconds respectively. Through these characteristic points, the multi-channel monitoring host can calculate the time difference between the echo signals.

[0140] Take adjacent echo peaks as an example to calculate the time difference = t2 - t1 = 0.005 seconds - 0.002 seconds = 0.003 seconds. Similarly, if we select adjacent valley values, the time difference is t3 (valley timestamp) and t4 (next valley timestamp), then = t4 - t3. For example, if t3 = 0.004 seconds and t4 = 0.008 seconds, then the time difference is = 0.008 seconds - 0.004 seconds = 0.004 seconds. Similarly, if we select adjacent zero-crossing points, the time difference is t5 (zero-crossing timestamp) and t6 (next zero-crossing timestamp), then = t6 - t5, for example, if t5 = 0.003 seconds, t6 = 0.007 seconds, then the time difference = 0.007 seconds - 0.003 seconds = 0.004 seconds. The above are only examples and are not intended to be limiting.

[0141] The advantage of this treatment method is that, whether in a high-temperature or high-pressure environment, digital processing can quickly and accurately provide important data support, ensuring that the erosion condition can be efficiently identified and evaluated in the real-time monitoring of the inner wall of the steam-water separation reheater. It not only improves the accuracy of the data, but also enhances the adaptability under complex working conditions, thereby providing a strong guarantee for subsequent status assessment and safety.

[0142] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion residual wall thickness data further includes the following steps:

[0143] Obtaining a preset three-dimensional model of the steam-water separator reheater;

[0144] Based on the monitoring points of the inspected part of the steam-water separator reheater, marking the preset three-dimensional model to obtain marked monitoring points;

[0145] Establishing a correlation relationship between the target erosion residual wall thickness data of the monitoring point and the marked monitoring point;

[0146] Based on the correlation between the target erosion residual wall thickness data and the marked monitoring point, the preset three-dimensional model is rendered in real time to achieve real-time rendering of the erosion state of the inner wall of the steam-water separator reheater.

[0147] As an example, first, a preset three-dimensional model of a steam-water separator reheater is obtained from design data or CAD software. The preset three-dimensional model includes the geometric shape, structural features and design parameters of the steam-water separator reheater, which provides a basis for subsequent monitoring and rendering. Next, according to the monitoring requirements of the inspected part of the steam-water separator reheater, the marked monitoring points on the preset three-dimensional model are identified and marked. These marked monitoring points correspond to the erosion monitoring sensors actually installed, and each marked monitoring point includes three-dimensional coordinates and other relevant information. The target erosion residual wall thickness data of each monitoring point is associated with its corresponding marked monitoring point. The association relationship can be realized through a database or data structure to facilitate rapid query in the subsequent real-time rendering process. Based on the association relationship between the target erosion residual wall thickness data of each monitoring point and the marked monitoring point, the preset three-dimensional model is rendered in real time using computer graphics technology. During the rendering process, according to the erosion state of each monitoring point, the color or texture of the surface of the preset three-dimensional model is dynamically updated to intuitively display the degree of erosion. For example, a heat map is used to represent the erosion residual wall thickness of different thicknesses. The darker the color, the thinner the wall thickness, and vice versa. Through the above steps, real-time visual monitoring of the erosion status of the inner wall of the steam-water separator reheater can be achieved.

[0148] For example, suppose the 3D model of a steam-water separator reheater obtained from CAD software contains the overall geometry of the equipment, such as the bends, joints, and welds of the inner wall.

[0149] Establish the relationship between the target erosion residual wall thickness data of each monitoring point and the marked monitoring point. For example:

[0150] The target erosion residual wall thickness data of monitoring point A is 25.0 mm.

[0151] The target erosion residual wall thickness data of monitoring point B is 20.5 mm.

[0152] The target erosion residual wall thickness data of monitoring point C is 30.0 mm.

[0153] These data are stored in the database and associated with the corresponding marked monitoring points.

[0154] In the actual monitoring process, the real-time data of the monitoring points are regularly obtained and updated. Based on the above target erosion residual wall thickness data, real-time rendering is performed through computer graphics technology. For example:

[0155] The color of the marked monitoring point A is green (indicating normal wall thickness).

[0156] The color of the marked monitoring point B is red (indicating thin wall thickness, please pay attention).

[0157] The color of the marked monitoring point C is blue (indicating good wall thickness).

[0158] As time goes by and the monitoring data is updated, the color representation in the preset three-dimensional model can be dynamically adjusted to reflect the erosion status of the steam-water separator reheater in real time. In this way, the operation and maintenance personnel can intuitively identify which parts may have safety hazards and take corresponding measures to effectively improve the safety and operation efficiency of the equipment. It should be noted that the above is only an example and does not constitute a limitation of the present invention.

[0159] In one embodiment, after the erosion state of the inner wall of the steam-water separator reheater is rendered in real time based on the target erosion residual wall thickness data, the following steps are included:

[0160] When it is detected that the target erosion remaining wall thickness data of any monitoring point is lower than the preset threshold, an alarm is automatically triggered and an alarm message is sent to the operation and maintenance personnel. The alarm message includes the monitoring point location information and the remaining wall thickness value.

[0161] Second, as Figure 4As shown, an embodiment of the present invention provides a method for monitoring the inner wall erosion of a steam-water separator reheater, which is applied to a multi-channel monitoring host, wherein the multi-channel monitoring host is respectively connected to a erosion monitoring sensor, a temperature sensor and a host computer, and the method includes:

[0162] S10A, acquiring temperature data and echo signals of the inspected part of the steam-water separator reheater at a set acquisition interval, wherein the temperature data is acquired by a temperature sensor disposed at the inspected part of the steam-water separator reheater, and the echo signals are acquired by an erosion monitoring sensor disposed at the inspected part of the steam-water separator reheater;

[0163] S20A, digitally processing the echo signal to determine the time difference between the echo signals, where the time difference is the time difference between consecutive echo signals collected by the erosion monitoring sensor;

[0164] S30A. Based on the time difference and the preset sound speed, initial erosion residual wall thickness data is obtained, and the initial erosion residual wall thickness data and the temperature data are transmitted to a host computer, so that the host computer corrects the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data, and based on the target erosion residual wall thickness data, the host computer performs real-time rendering of the erosion state of the inner wall of the steam-water separator reheater.

[0165] In summary, in a solution provided by an embodiment of the present invention, temperature data and echo signals are obtained through a set collection interval, and the echo signals are used to determine the time difference between continuous echo signals, and the initial erosion residual wall thickness data is calculated in combination with the preset sound speed; the initial erosion residual wall thickness data and the temperature data are further transmitted to the host computer, so that the host computer corrects the initial erosion residual wall thickness data based on the temperature data to obtain the target erosion residual wall thickness data, and based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separation reheater is rendered in real time. This process not only improves the monitoring efficiency, but also reduces manual operations, meets the needs of long-term online monitoring and dynamic evaluation, and improves the operating safety and reliability of nuclear power plants.

[0166] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion remaining wall thickness data includes:

[0167] S31A, obtaining target erosion residual wall thickness data of each monitoring point of the inspected part of the steam-water separator reheater;

[0168] S32A, based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, generating a curve of erosion residual wall thickness data variation of the inspected part of the steam-water separator reheater, wherein the curvature integral interpolation algorithm is determined by the geometric shape of the steam-water separator reheater and the distribution characteristics of the target erosion residual wall thickness data of all monitoring points;

[0169] S33A. Based on the erosion residual wall thickness data change curve, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0170] In one embodiment, the erosion residual wall thickness data variation curve of the inspected part of the steam-water separator reheater is generated based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, including:

[0171] S321A, preprocessing the target erosion residual wall thickness data to obtain preprocessed target erosion residual wall thickness data;

[0172] S322A, based on the curvature integral interpolation algorithm, interpolate the preprocessed target erosion residual wall thickness data of each monitoring point to obtain interpolation point erosion residual wall thickness data;

[0173] S323A, combining the pre-processed target erosion residual wall thickness data of each monitoring point and the erosion residual wall thickness data of the interpolation point according to the spatial position or time sequence of each monitoring point and the interpolation point at the inspected part of the steam-water separator reheater to obtain a combined result;

[0174] S324A. Based on the combination result, generate a curve of the erosion residual wall thickness data change of the inspected part of the steam-water separator reheater.

[0175] In one embodiment, before the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the erosion residual wall thickness data change curve, the method includes:

[0176] S40A, calculating the root mean square error between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data at each monitoring point using a root mean square error evaluation method;

[0177] S50A, determining whether the root mean square error is within a preset range;

[0178] S60A, when the root mean square error is not within the preset range, adjusting the parameters of the curvature integral interpolation algorithm until the root mean square error is within the preset range;

[0179] S70A. When the root mean square error is within the preset range, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time based on the erosion residual wall thickness data change curve.

[0180] In one embodiment, the digital processing of the echo signals to determine the time difference between the echo signals includes:

[0181] S21A, converting the echo signal into a digital signal;

[0182] S22A, extracting features from the digital signal to obtain feature points of the echo signal, where the feature points include a peak value, a valley value, or a zero-crossing point of each echo;

[0183] S23A, determining the time difference between the echo signals based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor.

[0184] In one embodiment, the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion remaining wall thickness data further includes:

[0185] S80A, obtaining a preset three-dimensional model of the steam-water separator reheater;

[0186] S90A, marking the preset three-dimensional model based on the monitoring points of the inspected part of the steam-water separator reheater to obtain marked monitoring points;

[0187] S100A, establishing an association relationship between the target erosion residual wall thickness data of the monitoring point and the marked monitoring point;

[0188] S110A. Based on the correlation between the target erosion residual wall thickness data and the marked monitoring point, the preset three-dimensional model is rendered in real time to achieve real-time rendering of the erosion state of the inner wall of the steam-water separator reheater.

[0189] In one embodiment, the correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data includes:

[0190] S34A, correcting the initial erosion residual wall thickness data based on the first preset formula and the temperature data to obtain the target erosion residual wall thickness;

[0191] Among them, the first preset formula is as follows:

[0192]

[0193]

[0194] in, The target erosion residual wall thickness data; The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

[0195] In one embodiment, after the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion residual wall thickness data, the method includes:

[0196] S120A: When it is detected that the target erosion remaining wall thickness data of any monitoring point is lower than a preset threshold, an alarm is automatically triggered, and an alarm message is sent to the operation and maintenance personnel, wherein the alarm message includes the monitoring point location information and the remaining wall thickness value.

[0197] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0198] In summary, the specific limitations on the inner wall erosion monitoring method of the steam-water separator reheater can be found in the above limitations on the inner wall erosion monitoring system of the steam-water separator reheater. In order to avoid repetition, it will not be repeated here.

[0199] Thirdly, Figure 5 As shown, an embodiment of the present invention provides a method for monitoring the inner wall erosion of a steam-water separator reheater, which is applied to a host computer, wherein the host computer is connected to a multi-channel monitoring host, and the method includes:

[0200] S10B, receiving the initial erosion residual wall thickness data and temperature data transmitted by the multi-channel monitoring host, wherein the initial erosion residual wall thickness data is determined by the time difference and the preset sound speed, the time difference is determined by the multi-channel monitoring host performing digital processing on the echo signal, the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor, the temperature data is collected by the temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signal is collected by the erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater;

[0201] S20B, correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data;

[0202] S30B, based on the target erosion remaining wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0203] In summary, in a solution provided by an embodiment of the present invention, initial erosion residual wall thickness data and temperature data transmitted by a multi-channel monitoring host are received, and the initial erosion residual wall thickness data is corrected by the temperature data to obtain target erosion residual wall thickness data, and based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time, which solves the problem that the prior art cannot detect the erosion degree of the inner wall of the steam-water separator reheater in real time, improves the monitoring efficiency, reduces manual operation, meets the needs of long-term online monitoring and dynamic evaluation, and improves the operating safety and reliability of nuclear power plants.

[0204] It should be noted that, except for the embodiment steps described in steps S10B-S30B, the other embodiment steps please refer to steps S10A-S120A, and will not be described again here to avoid repetition.

[0205] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0206] In summary, the specific limitations on the inner wall erosion monitoring method of the steam-water separator reheater can be found in the above limitations on the inner wall erosion monitoring system of the steam-water separator reheater. In order to avoid repetition, it will not be repeated here.

[0207] In a fourth aspect, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the following steps are implemented:

[0208] Acquiring temperature data and echo signals of the inspected part of the steam-water separator reheater at a set acquisition interval, wherein the temperature data is acquired by a temperature sensor disposed at the inspected part of the steam-water separator reheater, and the echo signals are acquired by a erosion monitoring sensor disposed at the inspected part of the steam-water separator reheater;

[0209] Digitally process the echo signal to determine the time difference between the echo signals, where the time difference is the time difference between consecutive echo signals collected by the erosion monitoring sensor;

[0210] Based on the time difference and the preset sound velocity, initial erosion residual wall thickness data is obtained, and the initial erosion residual wall thickness data and the temperature data are transmitted to the host computer, so that the host computer corrects the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data, and based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time;

[0211] or,

[0212] Receive the initial erosion residual wall thickness data and temperature data transmitted by the multi-channel monitoring host, the initial erosion residual wall thickness data is determined by the time difference and the preset sound speed, the time difference is determined by the multi-channel monitoring host performing digital processing on the echo signal, the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor, the temperature data is collected by the temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signal is collected by the erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater;

[0213] Correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data;

[0214] Based on the target erosion remaining wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

[0215] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0216] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0217] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A system for monitoring the inner wall erosion of a steam-water separator reheater, characterized in that: The inner wall erosion monitoring system includes an erosion monitoring sensor, a temperature sensor, a multi-channel monitoring host and a host computer; The multi-channel monitoring host is used to obtain temperature data and echo signals of the inspected part of the steam-water separator reheater at a set collection interval, wherein the temperature data is collected by a temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signals are collected by an erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater; The multi-channel monitoring host is also used to digitally process the echo signal, determine the time difference between the echo signals, and the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor; based on the time difference and the preset sound speed, obtain the initial erosion residual wall thickness data, and transmit the initial erosion residual wall thickness data and the temperature data to the host computer; The host computer is used to correct the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data; based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time; The step of digitally processing the echo signals to determine the time difference between the echo signals includes: Converting the echo signal into a digital signal; Extracting features from the digital signal to obtain feature points of the echo signal, wherein the feature points include a peak value, a valley value or a zero-crossing point of each echo; Determine the time difference between the echo signals based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor; The method of correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data includes: Correcting the initial erosion residual wall thickness data based on a first preset formula and the temperature data to obtain the target erosion residual wall thickness; Among them, the first preset formula is as follows: in, The target erosion residual wall thickness data; The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

2. The inner wall erosion monitoring system of the steam-water separator reheater according to claim 1 is characterized in that: The real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion remaining wall thickness data includes: Obtaining target erosion residual wall thickness data of each monitoring point of the inspected part of the steam-water separator reheater; Based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point, a curve of erosion residual wall thickness data variation of the inspected part of the steam-water separator reheater is generated, wherein the curvature integral interpolation algorithm is determined by the geometric shape of the steam-water separator reheater and the distribution characteristics of the target erosion residual wall thickness data of all monitoring points; Based on the erosion residual wall thickness data change curve, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time.

3. The inner wall erosion monitoring system of the steam-water separator reheater according to claim 2 is characterized in that: The method of generating a curve of the erosion residual wall thickness data variation of the inspected part of the steam-water separator reheater based on the curvature integral interpolation algorithm and the target erosion residual wall thickness data of each monitoring point includes: Preprocessing the target erosion residual wall thickness data to obtain preprocessed target erosion residual wall thickness data; Based on the curvature integral interpolation algorithm, interpolation calculation is performed on the pre-processed target erosion residual wall thickness data of each monitoring point to obtain interpolation point erosion residual wall thickness data; According to the spatial position or time sequence of each monitoring point and the interpolation point at the inspected part of the steam-water separator reheater, the pre-processed target erosion residual wall thickness data of each monitoring point and the erosion residual wall thickness data of the interpolation point are combined to obtain a combined result; Based on the combination result, a data variation curve of the erosion residual wall thickness of the inspected part of the steam-water separator reheater is generated.

4. The inner wall erosion monitoring system of the steam-water separator reheater according to claim 3 is characterized in that: Before the real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the erosion residual wall thickness data change curve, the method includes: Calculate the root mean square error between the erosion residual wall thickness data change curve and the target erosion residual wall thickness data at each monitoring point using a root mean square error judgment method; Determining whether the root mean square error is within a preset range; When the root mean square error is not within the preset range, adjusting the parameters of the curvature integral interpolation algorithm until the root mean square error is within the preset range; When the root mean square error is within the preset range, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time based on the erosion residual wall thickness data change curve.

5. The inner wall erosion monitoring system of the steam-water separator reheater according to claim 1, characterized in that: The real-time rendering of the erosion state of the inner wall of the steam-water separator reheater based on the target erosion residual wall thickness data also includes: Obtaining a preset three-dimensional model of the steam-water separator reheater; Based on the monitoring points of the inspected part of the steam-water separator reheater, marking the preset three-dimensional model to obtain marked monitoring points; Establishing a correlation relationship between the target erosion residual wall thickness data of the monitoring point and the marked monitoring point; Based on the correlation between the target erosion residual wall thickness data and the marked monitoring point, the preset three-dimensional model is rendered in real time to achieve real-time rendering of the erosion state of the inner wall of the steam-water separator reheater.

6. A method for monitoring inner wall erosion of a steam-water separator reheater, characterized in that: Applied to a multi-channel monitoring host, the method comprises: Acquiring temperature data and echo signals of the inspected part of the steam-water separator reheater at a set acquisition interval, wherein the temperature data is acquired by a temperature sensor disposed at the inspected part of the steam-water separator reheater, and the echo signals are acquired by a erosion monitoring sensor disposed at the inspected part of the steam-water separator reheater; Digitally process the echo signal to determine the time difference between the echo signals, where the time difference is the time difference between consecutive echo signals collected by the erosion monitoring sensor; Based on the time difference and the preset sound velocity, initial erosion residual wall thickness data is obtained, and the initial erosion residual wall thickness data and the temperature data are transmitted to a host computer, so that the host computer corrects the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data, and based on the target erosion residual wall thickness data, the erosion state of the inner wall of the steam-water separator reheater is rendered in real time; The step of digitally processing the echo signals to determine the time difference between the echo signals includes: Converting the echo signal into a digital signal; Extracting features from the digital signal to obtain feature points of the echo signal, wherein the feature points include a peak value, a valley value or a zero-crossing point of each echo; Determine the time difference between the echo signals based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor; The method of correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data includes: Correcting the initial erosion residual wall thickness data based on a first preset formula and the temperature data to obtain the target erosion residual wall thickness; Among them, the first preset formula is as follows: in, The target erosion residual wall thickness data; The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

7. A method for monitoring inner wall erosion of a steam-water separator reheater, characterized in that: Applied to a host computer, the method includes: Receive the initial erosion residual wall thickness data and temperature data transmitted by the multi-channel monitoring host, the initial erosion residual wall thickness data is determined by the time difference and the preset sound speed, the time difference is determined by the multi-channel monitoring host performing digital processing on the echo signal, the time difference is the time difference between the continuous echo signals collected by the erosion monitoring sensor, the temperature data is collected by the temperature sensor arranged at the inspected part of the steam-water separator reheater, and the echo signal is collected by the erosion monitoring sensor arranged at the inspected part of the steam-water separator reheater; Correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data; Based on the target erosion residual wall thickness data, real-time rendering of the erosion state of the inner wall of the steam-water separator reheater; The time difference is determined by the multi-channel monitoring host performing digital processing on the echo signal, including: Converting the echo signal into a digital signal; Extracting features from the digital signal to obtain feature points of the echo signal, wherein the feature points include a peak value, a valley value or a zero-crossing point of each echo; Determine the time difference between the echo signals based on the time difference between two adjacent echo peak values, between two adjacent echo trough values, or between two adjacent echo zero crossing points collected by the erosion monitoring sensor; The method of correcting the initial erosion residual wall thickness data based on the temperature data to obtain target erosion residual wall thickness data includes: Correcting the initial erosion residual wall thickness data based on a first preset formula and the temperature data to obtain the target erosion residual wall thickness; Among them, the first preset formula is as follows: in, The target erosion residual wall thickness data; The temperature data collected by the temperature sensor; is the sound velocity of shear wave after temperature compensation.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the inner wall erosion monitoring method of the steam-water separator reheater according to claim 6 is implemented, or when the computer program is executed by the processor, the inner wall erosion monitoring method of the steam-water separator reheater according to claim 7 is implemented.

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