Wall bushing temperature optimization detection method based on dynamic characteristic monitoring

Abstract

The invention discloses a wall bushing temperature optimization detection method based on dynamic characteristic monitoring, and relates to the field of wall bushing temperature detection.The method comprises the steps that based on the specific trend of a steam transmission channel in a wall, a characteristic induction device is arranged in a wall bushing; vibration signals received by the vibration sensing device are analyzed, and the specific position where fluid impact is generated in the steam transmission channel is calculated through signal characteristics; if the linear sleeve section vibrates for many times, comprehensively evaluating the steam leakage risk of the steam transmission channel in the linear sleeve section based on the grouped vibration signal characteristics; monitoring the temperature of the risky sleeve section, and analyzing the leakage area of the steam transmission channel by calculating the temperature propagation speed of the through-wall sleeve; and further accurately detecting the temperature of the wall bushing at the suspicious leakage point in the steam transmission channel line, and determining whether the steam leaks or not based on the temperature of the wall bushing.

Description

Technical Field

[0001] The invention relates to the field of wall bushing temperature detection, and in particular to a wall bushing temperature optimization detection method based on dynamic feature monitoring. Background Art

[0002] In high-temperature steam transmission systems, wall bushings serve as the key protection and structural support for steam transmission, and their temperature monitoring is crucial to ensure the safe operation of the system. Traditional temperature monitoring methods are usually limited to local detection and cannot reflect steam leakage or other abnormal conditions in real time and accurately. The arrangement of wall bushings in the wall usually needs to withstand the transmission of high-temperature steam, which makes its surface temperature a sensitive indicator reflecting problems such as steam leakage and pipeline corrosion. By reasonably arranging temperature sensing devices inside the wall bushings, the temperature data on the surface of the bushings can be collected in real time to monitor the temperature fluctuations that may occur during the steam flow process. In particular, when leakage occurs during steam transmission, the temperature parameters will rise abnormally. To this end, a wall bushing temperature optimization detection method based on dynamic feature monitoring is proposed. By accurately calculating the temperature propagation speed of the wall bushings, the leakage area can be quickly and accurately located, and the location targeting of temperature detection can be improved.

[0003] In addition, the vibration signal analysis of the steam fluid impact by the vibration sensing device can further enhance the accuracy of the temperature monitoring data. When the wall bushing vibrates multiple times, the potential risk of steam leakage can be comprehensively evaluated through signal feature analysis, providing the premise support for the location of rapid temperature detection. Summary of the invention

[0004] In order to solve the above technical problems, a wall bushing temperature optimization detection method based on dynamic feature monitoring is provided. This technical solution solves the problems raised in the above background technology.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A wall bushing temperature optimization detection method based on dynamic feature monitoring, comprising:

[0007] Based on the specific direction of the steam transmission channel in the wall, a characteristic sensing device is arranged inside the wall sleeve;

[0008] Analyze the vibration signal received by the vibration sensing device and calculate the specific location where the fluid impact occurs in the steam transmission channel through the signal characteristics;

[0009] If the linear casing section vibrates multiple times, the steam leakage risk of the steam transmission channel in the linear casing section is comprehensively evaluated based on the grouped vibration signal characteristics;

[0010] Monitor the temperature of the risk casing section, calculate the temperature propagation velocity of the wall casing, and analyze the leakage area of ​​the steam transmission channel;

[0011] The temperature of the wall bushing at the suspected leakage point in the steam transmission channel is further accurately detected, and whether the steam is leaking is determined based on the wall bushing temperature.

[0012] Preferably, the arrangement of the characteristic sensing device inside the wall bushing based on the specific direction of the steam transmission channel in the wall specifically includes:

[0013] Obtain the distribution map of the steam transmission channel in the wall, and mark the change position of the wall sleeve in the transmission channel according to the specific distribution and location information of the transmission channel;

[0014] Based on the marked change position of the wall bushing direction, the overall direction of the wall bushing is disassembled in two dimensions to ensure that each section of the bushing is in a straight line after disassembly, and each section of the bushing is marked as a straight bushing section;

[0015] Embedded vibration sensing devices are arranged at the interface positions at both ends of the wall bushing entering and exiting the wall and at all marked direction change positions;

[0016] An embedded temperature sensing device is arranged at the connection position of each section of the wall bushing;

[0017] The embedded temperature sensing device in each linear casing segment is connected to the embedded vibration sensing devices at both ends of the linear casing segment by wireless signal, and is simultaneously connected to the sensing information processing center.

[0018] Preferably, the analyzing the vibration signal received by the vibration sensing device and calculating the specific position where the fluid impact occurs in the steam transmission channel according to the signal characteristics specifically includes:

[0019] Perform clock synchronization adjustment on each vibration sensing device in advance to ensure that the timestamps recorded by all vibration sensing devices are under the same time reference;

[0020] When the steam transmission channel starts to operate, 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] Set the vibration sensing cut-off frequency, filter out high-frequency fluctuation signals exceeding the sensing cut-off frequency, and record the fluctuation signals received by the sensing device and the timestamp of the signals;

[0022] According to the time difference of the signals received by the sensing devices at both ends of the linear casing section, the relative position between the vibration source and the sensing devices at both ends is calculated to determine the location of the vibration source. The specific method is as follows:

[0023] Calculate the theoretical propagation speed of the shock wave according to the material and fluid characteristics of the steam transmission channel;

[0024] The time difference is converted into a distance difference according to the time difference of the signal received by the sensing device and the propagation speed of the vibration wave;

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

[0026] If the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process, all vibration signals are processed in groups.

[0027] Preferably, if during the vibration monitoring process, the vibration sensing device receives more than one group of vibration signals, grouping all vibration signals specifically includes:

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

[0029] If the difference between the timestamps of the vibration signals received twice by the single-end vibration sensing device of the linear casing section is shorter than the longest waiting time window of a single group of vibration signals, it is determined that the current linear casing section has experienced multiple vibrations;

[0030] If multiple vibrations occur, the phase characteristics of each vibration signal received are recorded, the signal waveforms received by the vibration sensing devices at both ends are compared, and the vibration signals with high matching similarity in frequency characteristics and amplitude changes are marked as the same vibration signal group;

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

[0032] Preferably, if the linear casing segment vibrates multiple times, based on the grouped vibration signal characteristics, comprehensively evaluating the steam leakage risk of the steam transmission channel in the linear casing segment specifically includes:

[0033] Obtain the recorded vibration occurrence time, calculate the vibration occurrence frequency within the set monitoring time window, and calculate the peak amplitude, average amplitude and root mean square value of the vibration signal within the monitoring time window 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 vibration characteristics are assigned risk weights;

[0035] A comprehensive risk-weighted operation is performed on the monitored vibration characteristics, and a threshold judgment method is used to calibrate whether the current steam transmission channel has a steam leakage risk. If there is a steam leakage risk, the current straight casing section is marked as a risky casing section.

[0036] Preferably, the temperature monitoring of the risk casing section and analyzing the leakage area of ​​the steam transmission channel by calculating the temperature propagation velocity of the wall casing specifically include:

[0037] Detect the type of insulation material of the wall pipe sleeve, retrieve the standard reference values ​​of the thermal conductivity, density and specific heat capacity of the insulation material, and calculate the thermal diffusivity of the material based on the thermal conductivity, density and specific heat capacity of the insulation material;

[0038] According to the calculation results of the thermal diffusivity of the material, calculate the ideal propagation speed of the temperature in the wall pipe sleeve;

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

[0040] According to the recorded earthquake source location in the risk casing section and the corresponding vibration occurrence time, combined with the ideal temperature propagation speed in the through-wall casing, the theoretical time for steam leakage to reach the temperature sensing device at each earthquake source location is calculated;

[0041] Collect temperature sensing parameters in real time, and record the temperature fluctuation time when the temperature fluctuates significantly;

[0042] The temperature fluctuation time is compared with the theoretical time for the earthquake source position to reach the temperature sensing device, and the earthquake source position with a time error less than the set range is marked as a suspected leakage point.

[0043] Preferably, the further accurate detection of the temperature of the wall bushing at the suspected leakage point in the steam transmission channel line and determining whether the steam is leaking based on the wall bushing temperature specifically includes:

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

[0045] A safe temperature is set for the wall sleeve in the steam transmission channel. When the real-time temperature of the wall sleeve at a 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 present invention has the following beneficial effects:

[0047] By arranging a temperature sensing device in the wall bushing and combining it 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 changes on the surface of the bushing, and provide a 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, and effectively avoid the lag and limitations of 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 is of great significance to improve the safety of steam transmission systems and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a flow chart of a wall bushing temperature optimization detection method based on dynamic feature monitoring of the present invention;

[0049] Figure 2 This is a flow chart of arranging a characteristic sensing device inside a wall bushing based on the specific direction of the steam transmission channel in the wall of the present invention;

[0050] Figure 3 A flow chart of analyzing the vibration signal received by the vibration sensing device of the present invention and calculating the specific position of the fluid impact in the steam transmission channel through the signal characteristics;

[0051] Figure 4 This is a flow chart of grouping all vibration signals when the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process of the present invention;

[0052] Figure 5 A flow chart of comprehensively evaluating the steam leakage risk of the steam transmission channel in the linear casing section based on the grouped vibration signal characteristics if the linear casing section vibrates multiple times according to the present invention;

[0053] Figure 6 The flow chart of the leakage area of ​​the steam transmission channel is analyzed by calculating the temperature propagation speed of the wall sleeve for temperature monitoring of the risk casing section of the present invention;

[0054] Figure 7 The present invention further accurately detects the temperature of the wall bushing at the suspected leakage point in the steam transmission channel line, and determines whether the steam is leaking based on the wall bushing temperature. DETAILED DESCRIPTION

[0055] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0056] Reference Figure 1 As shown, 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 characteristic sensing device is arranged inside the wall sleeve;

[0058] Analyze the vibration signal received by the vibration sensing device and calculate the specific location where the fluid impact occurs in the steam transmission channel through the signal characteristics;

[0059] If the linear casing section vibrates multiple times, the steam leakage risk of the steam transmission channel in the linear casing section is comprehensively evaluated based on the grouped vibration signal characteristics;

[0060] Monitor the temperature of the risk casing section, calculate the temperature propagation velocity of the wall casing, and analyze the leakage area of ​​the steam transmission channel;

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

[0062] Reference Figure 2 As shown, based on the specific direction of the steam transmission channel in the wall, the characteristic sensing device is arranged inside the wall sleeve, specifically including:

[0063] Obtain the path of the steam pipe through the wall through the layout diagram of the pipeline system or actual survey data. Use CAD software or building information modeling (BIM) tools to draw a distribution diagram of the steam transmission channel in the wall, and mark the change position of the wall sleeve in the transmission channel according to the specific distribution and location information of the transmission channel;

[0064] By analyzing the distribution map of the steam pipeline or on-site survey, the changed positions of the wall casing can be identified. These changed positions usually appear at pipe bends, joints, branch points or turns. According to the actual design of the steam transmission channel or the actual survey data, the positions where the steam pipeline direction changes are marked. These change points are the key to the subsequent marking of the changed positions of the wall casing direction. Based on the marked changed positions of the wall casing direction, the overall direction of the wall casing is two-dimensionally disassembled to ensure that each section of the casing is in a straight line after disassembly, and each section of the casing is marked as a straight casing section;

[0065] Place embedded vibration sensing devices at the interface positions where the wall bushing enters and exits the wall and at all marked direction change positions, and select appropriate embedded vibration sensors (such as accelerometers or piezoelectric sensors) for deployment. The sensor should have high sensitivity, real-time feedback capabilities, and be able to work stably in high temperature environments.

[0066] Arrange embedded temperature sensing devices at the joints of each section of the wall bushing. Select embedded temperature sensing devices suitable for high temperature environments, such as RTD sensors (contact type). These devices must have high precision and high stability, and be able to operate stably for a long time in harsh environments.

[0067] The embedded temperature sensing device in each linear casing segment is wirelessly connected to the embedded vibration sensing devices at both ends of the linear casing segment. This can be achieved through wireless communication technologies such as Wi-Fi, LoRa, and Zigbee.

[0068] Connect to the sensor information processing equipment, and the data of all sensors are gathered to a central data processing device through wireless signals, such as a PLC system or edge computing device. The data processing system should be able to process vibration, temperature and other sensor data.

[0069] Reference Figure 3 As shown, analyzing the vibration signal received by the vibration sensing device and calculating the specific location where the fluid impact occurs in the steam transmission channel through the signal characteristics specifically includes:

[0070] Adjust the clock synchronization of each vibration sensing device in advance to ensure that the timestamps recorded by all vibration sensing devices are under the same time reference. Optional technologies include Network Time Protocol (NTP) and GPS. NTP can adjust the device's clock to standard time through the network, while GPS synchronization provides extremely high-precision time synchronization through satellite signals. The sensor clock synchronization error should be controlled within 1 millisecond to ensure accurate calculation of the time difference in subsequent signal analysis.

[0071] When the steam transmission channel starts to operate, all vibration sensing devices are turned on to capture the pipeline 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 steam flow or shock waves is set to 10Hz to 100Hz, and the cutoff frequency of the sensing device can be set to 100Hz to ensure that the relevant vibration can be captured and high-frequency noise can be filtered out. Filter out high-frequency fluctuation signals that exceed the sensing cutoff frequency, and use a digital filter (such as a low-pass filter or a band-pass filter) to process the collected vibration signal. Specifically, use a band-pass filter to retain signals in the range of 10Hz to 100Hz and filter out high-frequency noise that exceeds this range. The corresponding filter design formula is:

[0073]

[0074] Where H(f) is the frequency response of the filter, f is the real-time frequency, and f low 、f high The upper and lower cutoff frequency thresholds of the sensing device are set respectively. In this scheme, they are set to 10Hz and 100Hz. After signal processing, high-frequency noise and environmental interference are removed to obtain a purer vibration signal for subsequent analysis. At the same time, the fluctuation signal received by the sensing device and the timestamp of the signal are recorded;

[0075] According to the time difference of the signals received by the sensing devices at both ends of the linear casing section, the relative position between the vibration source and the sensing devices at both ends is calculated to determine the location of the vibration source. The specific method is as follows:

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

[0077]

[0078] Among them, v th is the theoretical propagation velocity, E is the Young's modulus of the pipe material, and ρ is the density of the pipe material.

[0079] The time difference is converted into distance differences d1 and d2 according to the time difference of the signal received by the sensing device and the propagation speed of the shock wave.

[0080] Based on the calculated distance difference, the actual position coordinates of the vibration source in the straight casing section are calculated by the geometric positioning method. The specific calculation method is: Among them, (x0, y0) is the position of the vibration source, (x1, y1) and (x2, y2) are the known positions of the two sensing devices.

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

[0082] Reference Figure 4 As shown, if during the vibration monitoring process, the vibration sensing device receives more than one group of vibration signals, grouping all vibration signals specifically includes:

[0083] According to the actual length of the straight casing segment and the theoretical propagation speed of the vibration wave, the longest waiting time window for each straight casing segment to receive a single set of vibration signals is calculated. For each straight casing segment, assuming its length is L (unit: meter), the time required for the vibration signal to be transmitted from one end to the other is calculated as the longest waiting time window.

[0084] If the difference between the timestamps of the vibration signals received twice by the single-end vibration sensing device of the linear casing section is shorter than the longest waiting time window of a single group of vibration signals, it is determined that the current linear casing section has experienced multiple vibrations;

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

[0086] The signal waveforms received by the vibration sensing devices at both ends are compared through cross-correlation analysis, and the vibration signals with high similarity in frequency characteristics and amplitude changes are marked as the same vibration signal group.

[0087] The source position is detected for each set of vibration signals, and all the source positions and the corresponding vibration occurrence times are calculated and recorded.

[0088] Reference Figure 5 As shown in the figure, if the linear casing section vibrates multiple times, based on the grouped vibration signal characteristics, the comprehensive assessment of the steam leakage risk of the steam transmission channel in the linear casing section specifically includes:

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

[0090] The recorded vibration occurrence time is obtained, and the vibration occurrence frequency within the set monitoring time window is calculated. At the same time, the peak amplitude, average amplitude and root mean square value of the vibration signal within 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 vibration characteristics are assigned risk weights.

[0092] A comprehensive risk-weighted operation is performed on the monitored vibration characteristics, and a threshold judgment method is used to calibrate whether the current steam transmission channel has a steam leakage risk. If there is a steam leakage risk, the current straight casing section is marked as a risky casing section.

[0093] Reference Figure 6 As shown in the figure, the temperature of the risk casing section is monitored, and the temperature propagation velocity of the wall casing is calculated to analyze the leakage area of ​​the steam transmission channel, including:

[0094] Use material testing equipment (such as X-ray fluorescence spectrometer, infrared spectrometer) to detect the type of thermal insulation material of the wall pipe sleeve, determine the chemical composition or type of the material (such as mineral wool, glass fiber, polyurethane, etc.), retrieve the standard reference values ​​of thermal conductivity, density and specific heat capacity of the thermal insulation material, and calculate the thermal diffusivity of the material based on the thermal conductivity, density and specific heat capacity of the thermal insulation material. For example, the thermal conductivity of the mineral wool material is 0.036W / m·K, the specific heat capacity is 840J / kg·K, and the density is 100kg / m 3 , below is the ideal temperature propagation velocity for mineral wool wall sleeves.

[0095] According to the thermal diffusivity calculation results of the material, the ideal propagation speed of the temperature in the wall pipe sleeve is calculated using the following formula:

[0096]

[0097] Among them, v thermal is the theoretical propagation velocity, k is the thermal conductivity of the wall-penetrating pipe sleeve material, ρ is the density of the wall-penetrating pipe sleeve material, C p is the specific heat capacity of the wall pipe sleeve material, and the mineral wool material parameters are substituted into the formula: This shows that the ideal propagation speed of temperature waves in mineral wool is 2.07 mm / s. The calculation results are recorded in the system for subsequent theoretical calculation of temperature arrival time.

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

[0099] According to the recorded earthquake source location in the risk casing section and the corresponding vibration occurrence time, combined with the ideal temperature propagation speed in the through-wall casing, the theoretical time for steam leakage to reach the temperature sensing device at each earthquake source location is calculated;

[0100] Collect temperature sensing parameters in real time, and record the temperature fluctuation time when the temperature fluctuates significantly (temperature rise exceeds 5%).

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

[0102] Reference Figure 7 As shown, the temperature of the wall bushing at the suspected leakage point in the steam transmission channel is further accurately detected, and whether the steam is leaking based on the wall bushing temperature is determined specifically including:

[0103] Obtain all suspected leakage points of the steam transmission channel in the wall, use a two-dimensional distribution map (for example, through CAD or GIS tools) to visualize the distribution of all suspected leakage points in the wall, mark the specific location of each point, and accurately detect the temperature of the wall casing at the suspected leakage point through a non-contact temperature sensing device to obtain its real-time temperature;

[0104] According to the operation standards and safety specifications of the steam system, a safety temperature threshold of the wall bushing is set. When the real-time temperature of the wall bushing at the suspected leakage point is greater than the safety temperature threshold, it is determined that steam leakage has occurred at the suspected leakage point.

[0105] Furthermore, the present solution also proposes a storage medium for a temperature optimization detection method for wall bushings based on dynamic feature monitoring, on which a computer-readable program is stored. When the computer-readable program is called, the above-mentioned temperature optimization detection method for wall bushings based on dynamic feature monitoring is executed.

[0106] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0107] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A wall bushing temperature optimization detection method based on dynamic feature monitoring, characterized in that: include: Based on the specific direction of the steam transmission channel in the wall, a characteristic sensing device is arranged inside the wall sleeve; Analyze the vibration signal received by the vibration sensing device and calculate the specific location where the fluid impact occurs in the steam transmission channel through the signal characteristics; If the linear casing section vibrates multiple times, the steam leakage risk of the steam transmission channel in the linear casing section is comprehensively evaluated based on the grouped vibration signal characteristics; Monitor the temperature of the risk casing section, calculate the temperature propagation velocity of the wall casing, and analyze the leakage area of ​​the steam transmission channel; The temperature of the wall bushing at the suspected leakage point in the steam transmission channel is further accurately detected, and whether the steam is leaking is determined based on the wall bushing temperature.

2. According to claim 1, a wall bushing temperature optimization detection method based on dynamic feature monitoring is characterized in that: The method of arranging a characteristic sensing device inside the wall sleeve based on the specific direction of the steam transmission channel in the wall specifically includes: Obtain the distribution map of the steam transmission channel in the wall, and mark the change position of the wall sleeve in the transmission channel according to the specific distribution and location information of the transmission channel; Based on the marked change position of the wall bushing direction, the overall direction of the wall bushing is disassembled in two dimensions to ensure that each section of the bushing is in a straight line after disassembly, and each section of the bushing is marked as a straight bushing section; Embedded vibration sensing devices are arranged at the interface positions where the wall bushing enters and exits the wall at both ends and at all marked direction change positions; An embedded temperature sensing device is arranged at the connection position of each section of the wall bushing; The embedded temperature sensing device in each linear casing segment is connected to the embedded vibration sensing devices at both ends of the linear casing segment by wireless signal, and is simultaneously connected to the sensing information processing center.

3. The wall bushing temperature optimization detection method based on dynamic feature monitoring according to claim 2 is characterized in that: The analyzing the vibration signal received by the vibration sensing device and calculating the specific position where the fluid impact occurs in the steam transmission channel according to the signal characteristics specifically includes: Perform clock synchronization adjustment on each vibration sensing device in advance to ensure that the timestamps recorded by all vibration sensing devices are under the same time reference; When the steam transmission channel starts to operate, all vibration sensing devices are turned on to capture the pipeline vibration caused by the fluid impact generated by the steam in real time; Set the vibration sensing cut-off frequency, filter out high-frequency fluctuation signals exceeding the sensing cut-off frequency, and record the fluctuation signals received by the sensing device and the timestamp of the signals; According to the time difference of the signals received by the sensing devices at both ends of the linear casing section, the relative position between the vibration source and the sensing devices at both ends is calculated to determine the location of the vibration source. The specific method is as follows: Calculate the theoretical propagation speed of the shock wave according to the material and fluid characteristics of the steam transmission channel; The time difference is converted into a distance difference according to 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 casing section are calculated by a geometric positioning method; If the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process, all vibration signals are processed in groups.

4. The wall bushing temperature optimization detection method based on dynamic feature monitoring according to claim 3 is characterized in that: If the vibration sensing device receives more than one group of vibration signals during the vibration monitoring process, grouping all vibration signals specifically includes: According to the actual length of the straight casing section and the theoretical propagation speed of the shock wave, the longest waiting time window for each straight casing section to receive a single set of shock signals is calculated; If the difference between the timestamps of the vibration signals received twice by the single-end vibration sensing device of the linear casing section is shorter than the longest waiting time window of a single group of vibration signals, it is determined that the current linear casing section has experienced multiple vibrations; If multiple vibrations occur, the phase characteristics of each vibration signal received are recorded, the signal waveforms received by the vibration sensing devices at both ends are compared, and the vibration signals with high matching similarity in frequency characteristics and amplitude changes are marked as the same vibration signal group; The source position is detected for each set of vibration signals, and all the source positions and the corresponding vibration occurrence times are calculated and recorded.

5. The wall bushing temperature optimization detection method based on dynamic feature monitoring according to claim 4 is characterized in that: If the linear casing section vibrates multiple times, based on the grouped vibration signal characteristics, the steam leakage risk of the steam transmission channel in the linear casing section is comprehensively evaluated, specifically including: Obtain the recorded vibration occurrence time, calculate the vibration occurrence frequency within the set monitoring time window, and calculate the peak amplitude, average amplitude and root mean square value of the vibration signal within the monitoring time window as the monitoring vibration characteristics; Based on the historical leakage data of the steam transmission channel and the corresponding historical vibration signal data, the vibration characteristics are assigned risk weights; A comprehensive risk-weighted operation is performed on the monitored vibration characteristics, and a threshold judgment method is used to calibrate whether the current steam transmission channel has a steam leakage risk. If there is a steam leakage risk, the current straight casing section is marked as a risky casing section.

6. The wall bushing temperature optimization detection method based on dynamic feature monitoring according to claim 5 is characterized in that: The temperature monitoring of the risk casing section and the analysis of the leakage area of ​​the steam transmission channel by calculating the temperature propagation velocity of the wall casing specifically include: Detect the type of insulation material of the wall pipe sleeve, retrieve the standard reference values ​​of the thermal conductivity, density and specific heat capacity of the insulation material, and calculate the thermal diffusivity of the material based on the thermal conductivity, density and specific heat capacity of the insulation material; According to the calculation results of the thermal diffusivity of the material, calculate the ideal propagation speed of the temperature in the wall pipe sleeve; When the vibration sensing device of the risk casing section receives the vibration signal for the first time, it sends a wireless signal to all the temperature sensing devices in the risk casing section to start temperature sensing; According to the recorded earthquake source location in the risk casing section and the corresponding vibration occurrence time, combined with the ideal temperature propagation speed in the through-wall casing, the theoretical time for steam leakage to reach the temperature sensing device at each earthquake source location is calculated; Collect temperature sensing parameters in real time, and record the temperature fluctuation time when the temperature fluctuates significantly; The temperature fluctuation time is compared with the theoretical time for the earthquake source position to reach the temperature sensing device, and the earthquake source position with a time error less than the set range is marked as a suspected leakage point.

7. The wall bushing temperature optimization detection method based on dynamic feature monitoring according to claim 6 is characterized in that: Further accurately detecting the temperature of the wall bushing at the suspected leakage point in the steam transmission channel line, and determining whether the steam is leaking based on the wall bushing temperature specifically includes: Obtain all suspected leakage points of the steam transmission channel in the wall, accurately detect the temperature of the wall casing at the suspected leakage point through a non-contact temperature sensing device, and obtain its real-time temperature; A safe temperature is set for the wall sleeve in the steam transmission channel. When the real-time temperature of the wall sleeve at a suspected leakage point is greater than the safe temperature, it is determined that steam leakage has occurred at the suspected leakage point.

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