A through-wall bushing temperature optimization detection method based on dynamic characteristic monitoring

Abstract

The application discloses a kind of wall bushing temperature optimization detection methods based on dynamic feature monitoring, it is related to wall bushing temperature detection field, including: based on the specific trend of steam transmission channel in wall, characteristic sensing device is arranged in wall bushing;Analysis vibration signal received by vibration sensing device, the specific position of fluid impact generated in steam transmission channel is calculated by signal feature;If multiple vibrations occur in straight bushing section, based on the vibration signal features after grouping, the steam leakage risk of steam transmission channel in straight bushing section is comprehensively evaluated;Temperature monitoring is carried out to risk bushing section, the leakage area of steam transmission channel is analyzed by calculating the propagation speed of wall bushing temperature;The temperature of wall bushing of suspicious leakage point in steam transmission channel line is further accurately detected, whether steam leaks is determined based on wall bushing temperature.

Description

Technical Field

[0001] This invention relates to the field of wall bushing temperature detection, specifically to an optimized method for wall bushing temperature detection based on dynamic feature monitoring. Background Technology

[0002] In high-temperature steam transmission systems, through-wall bushings serve as crucial protection and structural support for steam transport, and their temperature monitoring is essential for ensuring safe system operation. Traditional temperature monitoring methods are typically limited to localized detection and cannot accurately reflect steam leaks or other anomalies in real time. The placement of through-wall bushings within the wall usually requires them to withstand the transmission of high-temperature steam, making their surface temperature a sensitive indicator of steam leaks, pipe corrosion, and other problems. By strategically placing temperature sensors inside the through-wall bushings, real-time temperature data of the bushing surface can be collected, monitoring potential temperature fluctuations during steam flow. Especially when leaks occur during steam transmission, temperature parameters will show an abnormal rise. Therefore, this paper proposes an optimized temperature detection method for through-wall bushings based on dynamic feature monitoring. By accurately calculating the temperature propagation speed of the through-wall bushing, the leak area can be quickly and accurately located, improving the location targeting of temperature detection.

[0003] Furthermore, combining the analysis of vibration signals generated by the impact of steam fluid using vibration sensing devices can further enhance the accuracy of temperature monitoring data. When the through-wall bushing experiences multiple vibrations, signal characteristic analysis can comprehensively assess the potential risk of steam leakage, providing preliminary support for the location of rapid temperature detection. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides an optimized detection method for the temperature of through-wall bushings based on dynamic feature monitoring. This technical solution resolves the issues raised in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A method for optimizing the detection of through-wall bushing temperature based on dynamic feature monitoring, comprising:

[0007] Based on the specific routing of the steam transmission channel within the wall, a feature sensing device is arranged inside the through-wall sleeve.

[0008] The vibration signals received by the vibration sensing device are analyzed, and the specific location of fluid impact in the steam transmission channel is calculated based on the signal characteristics.

[0009] If multiple vibrations occur in the straight bushing section, the risk of steam leakage in the steam transmission channel within the straight bushing section is comprehensively assessed based on the characteristics of the vibration signals after grouping.

[0010] The temperature of the risk sleeve section is monitored, the temperature propagation speed of the through-wall sleeve is calculated, and the leakage area of the steam transmission channel is analyzed.

[0011] The temperature of the through-wall sleeve of the suspicious leakage point in the steam transmission channel line is further accurately detected, and whether the steam leaks is determined based on the temperature of the through-wall sleeve.

[0012] Preferably, the specific orientation of the steam transmission channel in the wall body is arranged with a characteristic sensing device inside the through-wall sleeve, specifically including:

[0013] The orientation distribution map of the steam transmission channel in the wall body is obtained, and the through-wall sleeve orientation change position in the transmission channel is marked according to the specific distribution and position information of the transmission channel.

[0014] The overall orientation of the through-wall sleeve is two-dimensionally disassembled based on the marked through-wall sleeve orientation change position, ensuring that each section of the sleeve is a straight line after disassembly, and each section of the sleeve is marked as a straight line sleeve section.

[0015] The embedded vibration sensing device is arranged at the interface position of the through-wall sleeve out of the wall body and all the marked orientation change positions;

[0016] The embedded temperature sensing device is arranged at the position of each sleeve joint connector of the through-wall sleeve.

[0017] The embedded temperature sensing device in each straight line sleeve section is wirelessly connected to the embedded vibration sensing devices at both ends of the straight line sleeve section, and simultaneously connected to the sensing information processing center.

[0018] Preferably, the vibration signal received by the vibration sensing device is analyzed, and the specific position of the fluid impact generated in the steam transmission channel is calculated based on the signal characteristics, specifically including:

[0019] Each vibration sensing device is adjusted in time clock synchronization in advance to ensure that the time stamps recorded by all vibration sensing devices are under the same time reference;

[0020] When the steam transmission channel starts operation, all vibration sensing devices are turned on to capture the pipeline vibration caused by the fluid impact generated by the steam in real time;

[0021] The vibration sensing threshold frequency is set, the high-frequency fluctuation signal exceeding the sensing threshold frequency is filtered out, and the fluctuation signal received by the sensing device and the time stamp of the signal are recorded;

[0022] According to the time difference of the signals received by the sensing devices at both ends of the straight line sleeve section, the relative position between the vibration source and the sensing devices at both ends is calculated to determine the position of the vibration source, specifically in the following manner:

[0023] According to the material of the steam transmission channel and the fluid characteristics, the theoretical propagation speed of the vibration wave is calculated;

[0024] According to the time difference of the signals received by the induction device and the propagation speed of the vibration wave, the time difference is converted into a distance difference;

[0025] Based on the calculated distance difference, the actual position coordinates of the vibration source in the straight casing section are calculated by geometric positioning method;

[0026] If more than one set of vibration signals is received by the vibration induction device during the vibration monitoring process, all the vibration signals are grouped and processed.

[0027] Preferably, the grouping and processing of all vibration signals when more than one set of vibration signals is received by the vibration induction device during the vibration monitoring process specifically includes:

[0028] According to the actual length of the straight casing section and the theoretical propagation speed of the vibration wave, the longest waiting time window for receiving a single set of vibration signals by each straight casing section is calculated;

[0029] If the time stamps of the vibration signals received by the single-end vibration induction device of the straight casing section twice differ by less than the longest waiting time window of a single set of vibration signals, it is determined that multiple vibrations occur in the straight casing section;

[0030] If multiple vibrations occur, the phase characteristics of each received vibration signal are recorded, and the signal waveforms received by the two-end vibration induction devices are compared, and the vibration signals with high similarity in frequency characteristics and amplitude changes are marked as the same set of vibration signal group;

[0031] The source position of each set of vibration signals is detected, and all the source positions and corresponding vibration occurrence times are calculated and recorded.

[0032] Preferably, the comprehensive evaluation of the steam leakage risk of the steam transmission channel in the straight casing section based on the grouped vibration signal characteristics when multiple vibrations occur in the straight casing section specifically includes:

[0033] The recorded vibration occurrence time is obtained, the vibration occurrence frequency in a set monitoring time window is calculated, and the peak amplitude, average amplitude, and root mean square value of the vibration signal in the monitoring time window are calculated as the monitoring vibration characteristics;

[0034] Based on the historical leakage data of the steam transmission channel and the corresponding historical vibration signal data, the risk weight of the vibration characteristics is calculated;

[0035] The risk weight of the monitoring vibration characteristics is calculated, and the threshold judgment method is used to determine whether there is a steam leakage risk in the current steam transmission channel. If there is a steam leakage risk, the current straight casing section is marked as a risk casing section.

[0036] Preferably, the temperature monitoring of the risk sleeve section, by calculating the temperature propagation speed of the through-wall sleeve, analyzing the leakage area of the steam transmission channel specifically includes:

[0037] Detecting the type of heat insulation material of the through-wall sleeve, retrieving the standard reference values of the thermal conductivity, density and specific heat capacity of the heat insulation material, and calculating the thermal diffusivity of the material based on the thermal conductivity, density and specific heat capacity of the heat insulation material;

[0038] According to the calculation result of the thermal diffusivity of the material, the ideal propagation speed of the temperature in the through-wall sleeve is calculated;

[0039] When the vibration sensing device of the risk sleeve section receives the vibration signal for the first time, a wireless signal is sent to all temperature sensing devices in the risk sleeve section to start temperature sensing;

[0040] According to the recorded position of the seismic source in the risk sleeve section and the corresponding vibration occurrence time, combined with the ideal propagation speed of the temperature in the through-wall sleeve, the theoretical time for each seismic source position to reach the temperature sensing device when steam leakage occurs is calculated;

[0041] Real-time acquisition of temperature sensing parameters, when the temperature fluctuates significantly, record the temperature fluctuation time;

[0042] Compare the temperature fluctuation time with the theoretical time for the seismic source position to reach the temperature sensing device, and mark the seismic source position with a time error less than the set range as a suspected leakage point.

[0043] Preferably, the further accurate detection of the through-wall sleeve temperature of the suspected leakage point in the steam transmission channel line based on the through-wall sleeve temperature to determine whether steam is leaked specifically includes:

[0044] Obtain all suspected leakage points of the steam transmission channel in the wall, accurately detect the through-wall sleeve temperature of the suspected leakage point by non-contact temperature sensing device, and obtain the real-time temperature thereof;

[0045] Set a safe temperature for the through-wall sleeve in the steam transmission channel, when the real-time temperature of the through-wall sleeve of the suspected leakage point is greater than the safe temperature, it is determined that steam leakage has occurred at the suspected leakage point.

[0046] Compared with the prior art, the beneficial effects of the present application are:

[0047] By arranging temperature sensing devices within the through-wall sleeve and combining with vibration sensing technology, real-time monitoring of the steam transmission channel can be achieved, and early signals of steam leakage or abnormal phenomena can be accurately captured. The temperature sensing device can accurately locate the leakage area by analyzing the temperature change of the sleeve surface, and provide dynamic assessment of the risk of steam leakage by calculating the temperature propagation speed. In addition, the analysis of vibration sensing signals combined with temperature monitoring can improve the sensitivity and accuracy of detection, effectively avoiding the lag and limitations in traditional detection methods. This method can provide fast and accurate fault location and risk warning in high-temperature steam systems, reduce safety hazards in system operation, and improve the reliability and safety of equipment. It has important significance for improving the safety guarantee of steam transmission system and reducing maintenance cost. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 A through-wall sleeve temperature optimization detection method flow chart based on dynamic feature monitoring of the present application;

[0049] Figure 2 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application;

[0050] Figure 3 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application;

[0051] Figure 4 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application;

[0052] Figure 5 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application;

[0053] Figure 6 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application;

[0054] Figure 7 A through-wall sleeve internal feature sensing device flow chart based on the specific trend of the steam transmission channel in the wall of the present application; DETAILED DESCRIPTION

[0055] The following description is presented to enable any person skilled in the art to practice the application as claimed. The preferred embodiments disclosed herein are only examples of the application and alternative variations could be adopted by one skilled in the art without departing from the spirit and scope of the application.

[0056] Referring to Figure 1 As shown in the figure, a wall bushing temperature optimization detection method based on dynamic feature monitoring includes:

[0057] Based on the specific direction of the steam transmission channel in the wall, a feature sensing device is arranged inside the wall bushing;

[0058] The vibration signals received by the vibration sensing device are analyzed, and the specific position of the fluid impact generated in the steam transmission channel is calculated based on the signal features;

[0059] If multiple vibrations occur in the straight bushing section, the steam leakage risk of the steam transmission channel in the straight bushing section is comprehensively evaluated based on the grouped vibration signal features;

[0060] The risk bushing section is temperature-monitored, and the leakage area of the steam transmission channel is analyzed by calculating the wall bushing temperature propagation speed;

[0061] The wall bushing temperature of the suspicious leakage point in the steam transmission channel line is further accurately detected, and whether the steam is leaked is determined based on the wall bushing temperature.

[0062] Referring to Figure 2 As shown in the figure, based on the specific direction of the steam transmission channel in the wall, a feature sensing device is arranged inside the wall bushing, which specifically includes:

[0063] The path of the steam pipeline crossing the wall is obtained through the layout diagram of the pipeline system or actual survey data. The CAD software or building information modeling (BIM) tool is used to draw the direction distribution diagram of the steam transmission channel in the wall, and the change position of the wall bushing direction in the transmission channel is marked according to the specific distribution and position information of the transmission channel;

[0064] The change position of the wall bushing is identified by analyzing the steam pipeline direction distribution diagram or the field survey. These change positions usually appear at the pipeline bending, joint, branch point or turning point. According to the actual design or actual survey data of the steam transmission channel, the positions where the steam pipeline direction changes are marked, and these change points are the key to marking the change position of the wall bushing direction. Based on the marked change position of the wall bushing direction, the overall direction of the wall bushing is two-dimensionally disassembled to ensure that each section of the bushing is straight, and each section of the bushing is marked as a straight bushing section;

[0065] In the interface position of the wall bushing entering and exiting the wall body and all the marked change position, the embedded vibration sensing device is arranged, and the appropriate embedded vibration sensor (such as an accelerometer or a piezoelectric sensor) is selected for arrangement. The sensor should have high sensitivity, real-time feedback capability, and be able to work stably in a high temperature environment.

[0066] In the position of the wall bushing each section of the sleeve joint connection, the embedded temperature sensing device is arranged, and the embedded temperature sensing device suitable for high temperature environment is selected, such as RTD sensor (contact type). These devices need to have high precision and high stability, and be able to work stably in harsh environment for a long time.

[0067] The embedded temperature sensing device in each straight sleeve section is wirelessly connected with the embedded vibration sensing device at both ends of the straight sleeve section, which can be realized through wireless communication technologies such as Wi-Fi, LoRa, Zigbee, etc.

[0068] The sensing information processing device is accessed, and the data of all sensors is gathered to a central data processing device such as PLC system or edge computing device through wireless signal. The data processing system should have the ability to process vibration, temperature and other sensor data.

[0069] Referring to Figure 3 The vibration signal received by the vibration sensing device is analyzed by signal feature calculation, and the specific position of the fluid impact generated in the steam transmission channel is calculated, which specifically includes:

[0070] The clock synchronization of each vibration sensing device is adjusted in advance to ensure that the time stamp recorded by all vibration sensing devices is under the same time reference. The optional technologies are network time protocol (NTP) and GPS. NTP can adjust the clock of the device to the standard time through the network, and GPS synchronization provides very high precision time synchronization through satellite signals. The synchronization error of the sensor clock should be controlled within 1 millisecond to ensure the accuracy of the time difference calculation in the subsequent signal analysis.

[0071] When the steam transmission channel starts to work, all vibration sensing devices are turned on to capture the pipe vibration caused by the fluid impact generated by the steam in real time.

[0072] According to the actual application requirements and the frequency characteristics of the vibration source, the main vibration frequency range generated by the steam flow or the shock wave is set to 10 Hz to 100 Hz, and the cut-off frequency of the induction device is set to 100 Hz to ensure that the relevant vibrations can be captured and high-frequency noise can be filtered out. The high-frequency fluctuation signal exceeding the induction cut-off frequency is filtered out, and the collected vibration signal is processed using a digital filter (such as a low-pass filter or a band-pass filter). Specifically, a band-pass filter is used to retain signals within the range of 10 Hz to 100 Hz and filter out high-frequency noise exceeding this range, corresponding to the filter design formula:

[0073]

[0074] wherein, is the frequency response of the filter, is the real-time frequency, are the upper and lower thresholds of the cut-off frequency of the induction device, respectively, which are set to 10 Hz and 100 Hz in this scheme. After signal processing, high-frequency noise and environmental interference are removed to obtain a more pure vibration signal for subsequent analysis, while recording the fluctuation signal received by the induction device and the time stamp of the signal.

[0075] According to the time difference between the signals received by the induction devices at both ends of the straight pipe section, the relative position between the vibration source and the induction devices at both ends is calculated to determine the source location, specifically as follows:

[0076] According to the material and fluid characteristics of the steam transmission channel, the propagation speed of the vibration wave in the pipeline is calculated. Steam is a high-temperature fluid, and the following formula is used to estimate the propagation speed of the vibration wave:

[0077]

[0078] wherein, is the theoretical propagation speed, is the Young's modulus of the pipeline material, is the density of the pipeline material.

[0079] According to the time difference between the signals received by the induction devices and the propagation speed of the vibration wave, the time difference is converted into distance differences d1 and d2.

[0080] Based on the calculated distance differences, the actual position coordinates of the vibration source in the straight pipe section are calculated by the geometric positioning method, specifically as follows: wherein, is the position of the vibration source, , are the known positions of the two induction devices, respectively.

[0081] If the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process, all vibration signals are grouped and processed.

[0082] Referring to Figure 4 If the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process, all vibration signals are grouped and processed, as shown in the specific embodiments of the application, which include:

[0083] According to the actual length of the straight pipe section and the theoretical propagation speed of the vibration wave, the longest waiting time window for receiving a single group of vibration signals by each straight pipe section is calculated. For each straight pipe section, if its length is L (unit: meters), the time required for the vibration signal to propagate from one end to the other end is the longest waiting time window.

[0084] If the time stamps of the vibration signals received by the single-end vibration sensing device of the straight pipe section twice differ by less than the longest waiting time window of a single group of vibration signals, it is determined that multiple vibrations occur in the straight pipe section.

[0085] If multiple vibrations occur, the phase characteristics of each received vibration signal are recorded. For each received vibration signal, the Hilbert transform is used to extract the phase characteristics and spectral features of the signal.

[0086] Through cross-correlation analysis, the signal waveforms received by the two-end vibration sensing device are compared, and vibration signals with high similarity in frequency characteristics and amplitude changes are marked as the same group of vibration signals.

[0087] For each group of vibration signals, the source location detection is performed, and all source locations and corresponding vibration occurrence times are calculated and recorded.

[0088] Referring to Figure 5 If multiple vibrations occur in the straight pipe section, based on the grouped vibration signal characteristics, the steam transmission channel steam leakage risk in the straight pipe section is comprehensively evaluated, as shown in the specific embodiments of the application, which include:

[0089] According to the historical leakage data and the characteristics of the vibration signals, a correlation model between the vibration characteristics and the leakage risk is established for risk assessment of the current monitoring data.

[0090] The recorded vibration occurrence time is obtained, the vibration occurrence frequency in the set monitoring time window is calculated, and the peak amplitude, average amplitude, and root mean square value of the vibration signal in the monitoring time window are calculated as the monitoring vibration characteristics.

[0091] Based on the historical leakage data of the steam transmission channel and the corresponding historical vibration signal data, the risk weight of the vibration characteristics is assigned.

[0092] The risk weighting comprehensive operation of monitoring the vibration characteristics is performed, and the threshold judgment method is used to determine whether there is a steam leakage risk in the current steam transmission channel. If there is a steam leakage risk, the current straight-line casing section is marked as a risk casing section.

[0093] Referring to Figure 6 The temperature of the risk casing section is monitored, and the temperature propagation speed of the through-wall casing is calculated to analyze the leakage area of the steam transmission channel, which specifically includes:

[0094] The type of thermal insulation material of the through-wall casing is detected using a material detection device (such as an X-ray fluorescence spectrometer or an infrared spectrum analyzer), the chemical composition or type of the material (such as mineral wool, glass fiber, polyurethane, etc.) is determined, the standard reference values of the thermal conductivity, density, and specific heat capacity of the thermal insulation material are retrieved, and the thermal diffusivity of the material is calculated based on the thermal conductivity, density, and specific heat capacity of the thermal insulation material. For example, the thermal conductivity of mineral wool is 0.036 W / m·K, the specific heat capacity is 840 J / kg·K, and the density is 100 kg / m³. The following is the ideal temperature propagation speed of the mineral wool through-wall casing.

[0095] According to the calculation result of the thermal diffusivity of the material, the ideal propagation speed of the temperature in the through-wall casing is calculated using the following formula:

[0096]

[0097] wherein, is the theoretical propagation speed, k is the thermal conductivity of the through-wall casing material, is the density of the through-wall casing material, is the specific heat capacity of the through-wall casing material, and the mineral wool material parameters are brought into the formula as which indicates that the ideal propagation speed of the temperature wave in the mineral wool is 2.07 mm / s. The calculation result is recorded in the system for subsequent theoretical calculation of the temperature arrival time.

[0098] When the vibration sensing device of the risk casing section first receives a vibration signal, a wireless signal is sent to all temperature sensing devices in the risk casing section to start temperature sensing.

[0099] According to the recorded positions of the seismic sources in the risk casing section and the corresponding vibration occurrence times, combined with the ideal propagation speed of the temperature in the through-wall casing, the theoretical time for each seismic source position to reach the temperature sensing device when steam leakage occurs is calculated.

[0100] The temperature sensing parameters are collected in real time, and when the temperature fluctuates significantly (the temperature rise amplitude exceeds 5%), the temperature fluctuation time is recorded.

[0101] The temperature fluctuation time is compared with the theoretical time of the seismic source position to the temperature sensing device, and the seismic source position with a time error less than a set range (which is set according to the length of the risk casing section and the material used through experiments, which will not be described here) is marked as a suspected leakage point.

[0102] Referring to Figure 7 Further accurate detection of the temperature of the through-wall sleeve of the suspected leakage point in the steam transmission channel line is performed, and whether the steam leaks is determined based on the temperature of the through-wall sleeve, and specifically includes:

[0103] All suspected leakage points of the steam transmission channel in the wall are obtained, and a two-dimensional distribution diagram (for example, through CAD or GIS tools) is used to visualize the distribution of all suspected leakage points in the wall, and the specific position of each point is marked. The temperature of the through-wall sleeve of the suspected leakage point is accurately detected by a non-contact temperature sensing device to obtain the real-time temperature thereof.

[0104] According to the operation standard and safety specification of the steam system, a safe temperature threshold of the through-wall sleeve is set, and when the real-time temperature of the through-wall sleeve of the suspected leakage point is greater than the safe temperature threshold, it is determined that the suspected leakage point has occurred steam leakage.

[0105] Further, the present application also provides a storage medium of a through-wall sleeve temperature optimization detection method based on dynamic characteristic monitoring, which stores a computer readable program, and the computer readable program performs the above-mentioned through-wall sleeve temperature optimization detection method based on dynamic characteristic monitoring when called.

[0106] It can be understood that the storage medium can be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape, an optical medium such as a DVD, or a semiconductor medium such as a solid state disk (SSD), etc.

[0107] The above shows and describes the basic principles, main features and advantages of the present application. It should be understood by those skilled in the art that the present application is not limited by the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection claimed by the present application is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing the detection of temperature in through-wall bushings based on dynamic feature monitoring, characterized in that, include: Based on the specific routing of the steam transmission channel within the wall, a feature sensing device is arranged inside the through-wall sleeve. The vibration signals received by the vibration sensing device are analyzed, and the specific location of fluid impact in the steam transmission channel is calculated based on the signal characteristics. If multiple vibrations occur in the straight bushing section, the risk of steam leakage in the steam transmission channel within the straight bushing section is comprehensively assessed based on the characteristics of the vibration signals after grouping. Temperature monitoring is performed on the risky bushing section, and the leakage area of ​​the steam transmission channel is analyzed by calculating the temperature propagation rate of the through-wall bushing. Further precise detection of the temperature of the through-wall bushing at suspected leak points in the steam transmission channel is conducted to determine whether steam is leaking based on the temperature of the through-wall bushing. The specific arrangement of the feature sensing device inside the through-wall sleeve based on the specific routing of the steam transmission channel within the wall includes: Obtain a diagram showing the routing of steam transmission channels within the wall. Based on the specific distribution and location information of the transmission channels, mark the locations where the routing of the through-wall sleeves in the transmission channels changes. Based on the marked changes in the direction of the through-wall sleeve, the overall direction of the through-wall sleeve is disassembled in two dimensions to ensure that each segment of the sleeve is a straight line after disassembly, and each segment of the sleeve is marked as a straight sleeve segment. Embedded vibration sensing devices are installed at the interface locations at both ends of the wall sleeve entering and exiting the wall, and at all marked locations of changes in direction. An embedded temperature sensing device is installed at the joint of each section of the through-wall bushing. The embedded temperature sensing device in each straight sleeve section is wirelessly connected to the embedded vibration sensing device at both ends of the straight sleeve section, and simultaneously connected to the sensing information processing center. The analysis of vibration signals received by the vibration sensing device, and the calculation of the specific location of fluid impact within the steam transmission channel based on signal characteristics, specifically includes: Each vibration sensor is pre-synchronized to ensure that the timestamps recorded by all vibration sensors are on the same time base. When the steam transmission channel starts operating, all vibration sensing devices are activated to capture the pipe vibration caused by the fluid impact generated by the steam in real time. Set the vibration sensing cutoff frequency, filter out high-frequency fluctuation signals that exceed the sensing cutoff frequency, and record the fluctuation signals received by the sensing device and the timestamps of the signals; The relative position of the vibration source to the sensing devices at both ends of the straight sleeve section is calculated based on the time difference between the received signals. The specific method is as follows: The theoretical propagation speed of the vibration wave is calculated based on the material and fluid properties of the steam transmission channel; The time difference is converted into a distance difference based on the time difference of the signal received by the sensing device and the propagation speed of the vibration wave; Based on the calculated distance difference, the actual position coordinates of the vibration source in the straight sleeve section are calculated using the geometric positioning method. If the vibration sensing device receives more than one set of vibration signals during vibration monitoring, all vibration signals will be grouped and processed. If the vibration sensing device receives more than one set of vibration signals during vibration monitoring, the specific steps of grouping all vibration signals include: Based on the actual length of the straight sleeve section and the theoretical propagation speed of the vibration wave, the longest waiting time window for each straight sleeve section to receive a single set of vibration signals is calculated. If the difference between the timestamps of the vibration signals received by the single-end vibration sensing device of the straight sleeve section is shorter than the longest waiting time window for a single set of vibration signals, it is determined that the current straight sleeve section has experienced multiple vibrations. If multiple vibrations occur, record the phase characteristics of each received vibration signal, compare the signal waveforms received by the vibration sensing devices at both ends, and mark vibration signals with high similarity in frequency characteristics and amplitude changes as the same group of vibration signals. For each set of vibration signals, the source location is detected, and all source locations and corresponding vibration occurrence times are calculated and recorded. The aforementioned temperature monitoring of the risky bushing section, and analysis of the leakage area of ​​the steam transmission channel by calculating the temperature propagation rate through the bushing, specifically includes: The type of insulation material in the wall bushing is detected, and the standard reference values ​​of the thermal conductivity, density and specific heat capacity of the insulation material are retrieved. The thermal diffusivity of the material is calculated based on the thermal conductivity, density and specific heat capacity of the insulation material. Calculate the ideal temperature propagation rate inside the wall bushing based on the thermal diffusivity of the material. When the vibration sensing device in the risk casing section receives a vibration signal for the first time, it sends a wireless signal to all temperature sensing devices in the risk casing section to activate temperature sensing. Based on the recorded location of the seismic source and the corresponding time of vibration within the risk sleeve section, and combined with the ideal propagation speed of temperature within the through-wall sleeve, the theoretical time for steam leakage to reach the temperature sensing device at each seismic source location is calculated. Real-time acquisition of temperature sensing parameters; when significant temperature fluctuations occur, the duration of the temperature fluctuation is recorded. The temperature fluctuation time is compared with the theoretical time for the earthquake source to reach the temperature sensing device. Earthquake source locations with time errors less than the set range are marked as suspected leakage points.

2. The method for optimizing the detection of through-wall bushing temperature based on dynamic feature monitoring according to claim 1, characterized in that, If multiple vibrations occur in the straight bushing section, the risk of steam leakage in the steam transmission channel within the straight bushing section is comprehensively assessed based on the characteristics of the grouped vibration signals, specifically including: The recorded vibration occurrence time is obtained, the vibration occurrence frequency within the set monitoring time window is calculated, and the peak amplitude, average amplitude, and root mean square value of the vibration signal within the monitoring time window are calculated as monitoring vibration characteristics. Based on historical leakage data of the steam transmission channel and corresponding historical vibration signal data, risk weighting is applied to vibration characteristics. Risk-weighted comprehensive calculations are performed on the monitored vibration characteristics, and the threshold judgment method is used to determine whether there is a risk of steam leakage in the current steam transmission channel. If there is a risk of steam leakage, the current straight casing section is marked as a risk casing section.

3. The method for optimizing the detection of through-wall bushing temperature based on dynamic feature monitoring according to claim 2, characterized in that, The step of further precise detection of the temperature of the through-wall bushing at suspected leak points in the steam transmission channel, and determining whether steam is leaking based on the temperature of the through-wall bushing, specifically includes: All suspected leak points of the steam transmission channel within the wall are identified, and the temperature of the through-wall sleeve at the suspected leak points is accurately detected using a non-contact temperature sensing device to obtain its real-time temperature. A safe temperature is set for the wall bushing in the steam transmission channel. When the real-time temperature of the wall bushing at a suspected leak point is greater than the safe temperature, it is determined that a steam leak has occurred at that suspected leak point.

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