Method for analyzing installation stability and bearing capacity of transformer base
By collecting oil level and base vibration signals in real time and combining Fourier transform processing, the stability of oil sloshing and impact risk are evaluated, a comprehensive risk coefficient is generated, and the base bearing margin is analyzed. This solves the problem of assessing the impact of oil sloshing on the base bearing capacity under oil level changes, and improves the safety and stability of transformer operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGDONG HUIXINDA ELECTRIC POWER TECH CO LTD
- Filing Date
- 2026-01-27
- Publication Date
- 2026-04-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies struggle to accurately assess the dynamic impact of oil sloshing on the load-bearing capacity of transformer bases under varying oil levels, making it difficult to identify potential impact risks in a timely manner. This can lead to base failure due to overload, threatening the safe operation of the equipment.
Real-time oil level data is collected by an oil level probe and triaxial vibration acceleration signals of the base are recorded by a vibration module. Combined with Fourier transform processing, the duration of the oil sloshing cycle and the drop amplitude are extracted to evaluate the stability of the oil sloshing, generate a comprehensive risk coefficient, analyze the instantaneous dynamic load distribution of the base, and evaluate the load margin.
It enables a comprehensive analysis of the impact of oil sloshing on the structural safety of the base, improves the safety early warning and risk prevention capabilities of the oil tank system under seismic conditions, and ensures the stability and load-bearing capacity of the base under complex working conditions.
Smart Images

Figure CN121877320A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of information technology, and in particular to a method for analyzing the installation stability and load-bearing capacity of a transformer base. Background Technology
[0002] As a core piece of equipment in a power system, the transformer consists of the transformer body and the oil tank. The oil tank inside the transformer isolates the insulation from the atmosphere, preventing the absorption of moisture and gases and thus preventing oil aging. Its operational stability and safety are crucial to the reliable operation of the power grid. Especially under extreme conditions such as earthquakes, the load-bearing capacity and stability of the transformer base directly affect whether the equipment can operate normally and avoid major accidents. The dynamic additional load generated by the reciprocating impact of the oil tank walls during shaking can indirectly assess the dynamic load-bearing capacity of the base under oil level fluctuations. Studying the dynamic load-bearing capacity of the base in complex environments is a key area for ensuring the safety of power facilities. However, existing research and methods often fall short of comprehensively addressing the complex real-world conditions of transformer operation.
[0003] In existing technologies, CN202311355429.8 discloses a buffering method and system for dynamic response testing of arresting hooks for shipborne aircraft. This method optimizes the testing process under specific scenarios by adjusting damping forces and dynamically adjusting the force, thus avoiding secondary impact losses. However, this technology primarily addresses single impact test scenarios and fails to solve the problem of assessing the stability of oil sloshing in complex vibration environments. It also cannot meet the comprehensive needs of dynamic load analysis of the base and lacks in-depth research into the relationship between oil sloshing characteristics and structural bearing capacity. A drop in oil level from its normal position leads to a synchronous decrease in the transformer's center of mass height, indicating an improvement in overall static stability. However, considering the free space for oil sloshing inside the tank, the decrease in oil level increases the cavity above the liquid surface, expanding the amplitude of oil sloshing. This significantly increases the peak value of the dynamic additional load generated by the reciprocating impact of oil against the tank wall under seismic excitation, resulting in a greater actual impact force on the base. This impact force is directly transmitted to the base, causing the actual load on the base to exceed expectations.
[0004] What complicates matters further is that the oil level is not fixed but fluctuates in real time depending on operating conditions, making the assessment of the base's load-bearing capacity exceptionally difficult. For example, during an earthquake, if the transformer oil level drops below normal due to leakage or depletion, the oil sloshing within the tank will be more violent, frequently impacting the tank walls. The resulting instantaneous impact force may far exceed the base's design tolerance. In such cases, if the correlation between oil level changes and sloshing impacts cannot be identified in time, the base may deform or even fail due to overload, thereby threatening the operational safety of the entire equipment.
[0005] Therefore, accurately assessing the dynamic impact of oil sloshing on the load-bearing capacity of the base under constantly changing oil level conditions, and promptly identifying potential impact risks, has become a key issue that this study urgently needs to address. Summary of the Invention
[0006] To address the technical problems mentioned above, this invention provides a method for analyzing the installation stability and load-bearing capacity of a transformer base, comprising: Real-time oil level height data is collected by an oil level probe, and the triaxial vibration acceleration signal of the base is recorded simultaneously by a vibration module. The oil level drop amplitude value is extracted from the real-time oil level height data, and the oil sloshing cycle duration is obtained by processing the triaxial vibration acceleration signal of the base using Fourier transform. The stability of oil sloshing is assessed based on the oil level drop magnitude and the duration of the oil sloshing cycle. The static stability index is determined based on the static level change characteristics in the oil sloshing stability. The dynamic impact risk index is determined based on the dynamic vibration response characteristics in the oil sloshing stability. The static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. The comprehensive risk coefficient is combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation. The expansion of the oil sloshing amplitude is compared with the real-time oil level height data to obtain the sloshing excess amplitude. The impact frequency of the oil reciprocating impact on the tank wall is identified based on the sloshing excess amplitude and the oil sloshing cycle duration. The peak impact force is extracted based on the impact frequency and the sloshing excess amplitude. Based on the peak impact force and the triaxial vibration acceleration signal of the base, the instantaneous dynamic load distribution of the base is analyzed, the peak load moment in the instantaneous dynamic load distribution of the base is identified, and the maximum impact load borne by the base corresponding to the peak load moment is extracted. The load-bearing margin of the base is assessed based on the maximum impact load and the rated load-bearing capacity of the base, and the dynamic load-bearing capacity level of the base is determined based on the load-bearing margin.
[0007] Furthermore, the process of acquiring real-time oil level data via an oil level probe, simultaneously recording the triaxial vibration acceleration signal of the base via a vibration module, extracting the oil level drop amplitude from the real-time oil level data, and using Fourier transform to process the triaxial vibration acceleration signal of the base to obtain the oil sloshing period duration includes: The real-time oil level height data is obtained through the oil level probe, and the distance difference between the current liquid level position and the standard liquid level baseline is extracted from the real-time oil level height data. The oil level drop value is determined based on the change of the distance difference. The vibration module collects the triaxial vibration acceleration signal of the base, performs frequency domain conversion on the triaxial vibration acceleration signal to obtain the vibration spectrum distribution, extracts the main frequency component from the vibration spectrum distribution, and obtains the oil sloshing period duration by taking the reciprocal of the frequency value corresponding to the main frequency component.
[0008] Furthermore, the stability of oil sloshing is assessed based on the oil level drop magnitude combined with the oil sloshing cycle duration. A static stability index is determined based on the static level change characteristics of the oil sloshing stability, and a dynamic shock risk index is determined based on the dynamic vibration response characteristics of the oil sloshing stability, including: By correlating and comparing the oil level drop value with the oil sloshing cycle duration, static liquid level change characteristics are identified from the oil sloshing stability, and the static stability index is determined based on the static liquid level change characteristics. Identify dynamic vibration response characteristics from the oil sloshing stability, and determine the dynamic impact risk index based on the dynamic vibration response characteristics.
[0009] Furthermore, the static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. This comprehensive risk coefficient is then combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation, including: The comprehensive risk coefficient is obtained by weighting and fusing the static stability index and the dynamic shock risk index. The sloshing amplification factor is found in the risk level mapping table based on the comprehensive risk coefficient. The sloshing amplification factor is correlated with the duration of the oil sloshing cycle. The reference sloshing amplitude is read from the sloshing amplitude reference table. The reference sloshing amplitude is multiplied by the sloshing amplification factor to obtain the expansion amount of the oil sloshing amplitude under seismic excitation.
[0010] Furthermore, the static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. This comprehensive risk coefficient is then combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation. The method further includes: The overall instability of the oil tank under seismic loading is determined by the comprehensive risk coefficient. The time interval of the oil's reciprocating motion within the tank is collected from the oil sloshing cycle duration. The extent of the lateral displacement of the oil within the tank is analyzed when the overall instability worsens. The increase in the fluctuation height of the oil surface after the reciprocating motion time interval is shortened is assessed. The target offset distance of the oil from the stationary liquid surface towards the tank wall is determined, specifically including: Based on the comprehensive risk coefficient, find the overall instability level in the instability level table; Extract the time interval from the oil sloshing cycle duration, and find the lateral displacement expansion range in the displacement expansion lookup table according to the overall instability level; The fluctuation height growth rate is found in the fluctuation height growth table by comparing the time interval with the baseline period. The target offset distance is obtained by combining the expansion range of the lateral displacement with the increase in the fluctuation height, and then adding the square of the expansion range of the lateral displacement with the square of the increase in the fluctuation height.
[0011] Furthermore, the expansion of the oil sloshing amplitude is compared with the real-time oil level height data to obtain the sloshing excess amplitude. Based on the sloshing excess amplitude and the duration of the oil sloshing cycle, the impact frequency of the oil reciprocatingly impacting the tank wall is identified. Based on the impact frequency and the sloshing excess amplitude, the peak impact force is extracted, including: The extent of excessive sloshing is determined by comparing the expansion of the oil sloshing amplitude with the real-time oil level data. The impact frequency is found in the impact frequency comparison table based on the excessive swaying amplitude and the duration of the oil swaying cycle. The peak value of the impact force is found in the impact force mapping table based on the impact frequency and the excessive sway amplitude.
[0012] Furthermore, based on the peak impact force and the triaxial vibration acceleration signal of the base, the instantaneous dynamic load distribution of the base is analyzed, the peak load moment in the instantaneous dynamic load distribution of the base is identified, and the maximum impact load borne by the base at the peak load moment is extracted, including: The instantaneous dynamic load distribution of the base is obtained by performing correlation calculations between the peak impact force and the triaxial vibration acceleration signal of the base. Identify the peak load moment from the instantaneous dynamic load distribution of the base; The maximum impact load borne by the base is extracted based on the peak load time.
[0013] Furthermore, the load-bearing margin of the base is evaluated based on the maximum impact load combined with the rated load-bearing capacity of the base, and the dynamic load-bearing capacity level of the base is determined based on the load-bearing margin, including: The bearing capacity margin of the base is obtained by comparing the maximum impact load with the rated bearing capacity of the base. The dynamic load-bearing capacity level of the base is determined in the load-bearing capacity level table based on the load-bearing margin.
[0014] Furthermore, the assessment of the base's load-bearing margin based on the maximum impact load and the base's rated load-bearing capacity, and the determination of the base's dynamic load-bearing capacity level based on the load-bearing margin, also includes: The peak pressure borne by the base under impact is obtained from the maximum impact load. The allowable strength of the base material and the shear capacity of the base connectors are collected from the base design specifications. The deformation depth of the base material and the loosening degree of the connectors under the peak pressure are analyzed. The remaining capacity of the base material and connectors to maintain structural integrity under continuous impact is evaluated. The safety interval between the current load-bearing condition of the base and the critical condition of structural failure is determined.
[0015] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a method for analyzing the installation stability and load-bearing capacity of transformer bases, aiming to address the comprehensive impact of oil sloshing on the overall stability of the tank and the structural safety of the base. The invention acquires real-time oil level data and triaxial vibration acceleration signals of the base, combines Fourier transform to extract the oil sloshing period duration and oil level drop amplitude, assesses oil sloshing stability, and integrates static stability index and dynamic impact risk index to generate a comprehensive risk coefficient. This determines the oil sloshing amplitude expansion and impact frequency, analyzes the instantaneous dynamic load distribution and maximum impact load of the base, and finally evaluates the base's load-bearing margin and structural safety interval. This invention achieves a comprehensive analysis from oil sloshing characteristics to structural load-bearing capacity, effectively improving the safety early warning and risk prevention capabilities of tank systems under seismic conditions. Attached Figure Description
[0016] Figure 1 This is a flowchart of a method for analyzing the installation stability and load-bearing capacity of a transformer base according to the present invention.
[0017] Figure 2 This is a schematic diagram of a method for analyzing the installation stability and load-bearing capacity of a transformer base according to the present invention.
[0018] Figure 3 This is another schematic diagram of the method for analyzing the installation stability and load-bearing capacity of a transformer base according to the present invention. Detailed Implementation
[0019] To further understand the content of this invention, a detailed description of the invention is provided in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.
[0020] like Figures 1-3This embodiment of the method for analyzing the installation stability and load-bearing capacity of a transformer base may specifically include: Step S101: Real-time oil level height data is collected through the oil level probe, and the triaxial vibration acceleration signal of the base is recorded simultaneously through the vibration module. The oil level drop amplitude value is extracted from the real-time oil level height data, and the oil sloshing cycle duration is obtained by processing the triaxial vibration acceleration signal of the base using Fourier transform.
[0021] Real-time oil level data is acquired using an oil level probe. The distance difference between the current oil level and the standard oil level baseline is extracted from this data. The oil level drop amplitude is determined based on the change in this distance difference. Triaxial vibration acceleration signals of the base are collected using a vibration module. These signals are then frequency-domain converted to obtain a vibration spectrum distribution. The dominant frequency component is extracted from this distribution, and the reciprocal of the frequency value corresponding to this dominant frequency component is used to obtain the oil sloshing period.
[0022] In one embodiment, an oil level probe is installed at a preset position on the inner wall of the transformer tank. The current oil level height is calculated by measuring the distance between the probe and the liquid surface. This height value is continuously sampled at fixed time intervals to form a real-time oil level height data sequence.
[0023] Specifically, the standard liquid level baseline is a reference line that is preset based on the rated oil level height when the transformer is operating normally. When the real-time oil level height collected is lower than the baseline, the difference in vertical distance between the two is the liquid level offset at the current moment. The offsets at multiple sampling moments are arranged in chronological order to form a change trajectory, and the maximum offset is extracted from the change trajectory as the oil level drop value.
[0024] In one possible implementation, the vibration module uses a triaxial accelerometer, which is fixedly installed near the load-bearing support point of the transformer base. The triaxial accelerometer synchronously collects vibration signals in three mutually perpendicular directions. The transverse vibration component records the reciprocating vibration of the base along the long side of the oil tank, the longitudinal vibration component records the reciprocating vibration of the base along the short side of the oil tank, and the vertical vibration component records the up-and-down vibration of the base along the vertical direction. The three components together constitute the triaxial vibration acceleration signal of the base. When performing time-domain waveform extraction on the signal, the first zero-crossing point of the vibration amplitude is used as the starting mark, and the adjacent zero-crossing points in the same direction are used as the ending mark. The complete vibration waveform within this interval is extracted as the acceleration amplitude sequence.
[0025] It should be noted that the Fourier transform is a mathematical method that decomposes a time-domain signal into a superposition of sine waves of different frequencies. After applying the discrete Fourier transform to the acceleration amplitude sequence, a vibration spectrum distribution diagram with frequency as the horizontal axis and amplitude as the vertical axis is obtained. The magnitude of the amplitude corresponding to each frequency point in the spectrum distribution diagram reflects the proportion of energy of that frequency component in the original vibration signal. The frequency point with the largest amplitude is selected from the spectrum distribution as the dominant frequency component, which represents the dominant vibration frequency of the oil reciprocating in the tank.
[0026] In one embodiment, the Fourier transform is implemented as follows: The algorithm input is a sequence of acceleration amplitude values within a complete vibration cycle, which contains acceleration values at several sampling points. A discrete Fourier transform is performed on this sequence to convert the time-domain signal into a frequency-domain signal, outputting a vibration spectrum distribution. From the vibration spectrum distribution, the frequency point with the largest amplitude is identified as the dominant frequency component; the frequency value corresponding to this dominant frequency component is the dominant frequency of the oil sloshing. Taking the reciprocal of this frequency value yields the duration of the oil sloshing cycle.
[0027] For example, if the frequency value corresponding to the main frequency component is several hertz, then the reciprocal of the frequency value is taken to obtain the vibration period in seconds. This period is the time required for the oil to complete one complete reciprocating sloshing, and is output as the oil sloshing period.
[0028] Step S102: Assess the stability of oil sloshing based on the oil level drop amplitude and the duration of the oil sloshing cycle; determine the static stability index based on the static level change characteristics in the stability of oil sloshing; and determine the dynamic impact risk index based on the dynamic vibration response characteristics in the stability of oil sloshing.
[0029] The oil level drop magnitude and oil sloshing cycle duration are correlated and compared. If the oil level drop magnitude exceeds a preset level deviation threshold and the oil sloshing cycle duration is below a preset lower limit threshold, the oil sloshing stability is determined to be unstable. If both the oil level drop magnitude and the oil sloshing cycle duration are within preset ranges, the oil sloshing stability is determined to be stable. All other cases are determined to be critical. Static level change characteristics are identified from the oil sloshing stability determination results. These characteristics are characterized by the deviation of the oil level drop magnitude from the standard level baseline. The corresponding score is found in a preset static scoring table based on this deviation to obtain a static stability index. Dynamic vibration response characteristics are also identified from the oil sloshing stability determination results. These characteristics are characterized by the shortening of the oil sloshing cycle duration. The corresponding score is found in a preset dynamic scoring table based on this shortening to obtain a dynamic shock risk index.
[0030] In one embodiment, the determination of oil sloshing stability is based on a joint comparison of two parameters: the magnitude of oil level drop and the duration of oil sloshing cycle. The magnitude of oil level drop reflects the degree of displacement of the static position of the oil, while the duration of oil sloshing cycle reflects the speed of the dynamic reciprocating motion of the oil. Together, they determine the overall stability of the oil in the tank.
[0031] Specifically, the liquid level deviation threshold is a pre-set critical value based on the volume specifications of the transformer tank and the normal operating liquid level. When the drop in oil level exceeds this threshold, it indicates that the oil level has deviated from the normal operating range, and the free swaying space of the oil in the tank increases. The lower limit threshold of the period is a pre-calculated boundary value of the vibration period based on the geometric dimensions of the tank and the physical properties of the oil. When the duration of the oil swaying period is lower than this threshold, it indicates that the frequency of the oil reciprocating motion is accelerating and the number of times it hits the tank wall per unit time is increasing. If both conditions are met simultaneously, it is determined to be an unstable state. If both parameters are within their respective threshold ranges, it is determined to be a stable state. The situation in between is determined to be a critical state.
[0032] It should be noted that the static liquid level change characteristics are quantitatively characterized by the deviation of the oil level drop value from the standard liquid level baseline. The greater the deviation, the farther the static position of the oil is from the normal liquid level, and the more obvious the static center of gravity shift borne by the base.
[0033] In one possible implementation, the static and dynamic scoring tables are constructed based on historical operating data of the transformer tank and safety assessment standards. The static scoring table divides the degree of oil level deviation into several grade intervals, each interval corresponding to a static stability score, with scores ranging from low to high reflecting changes in static stability from excellent to poor. The dynamic scoring table divides the shortening of the oil sloshing cycle duration into several grade intervals, each interval corresponding to a dynamic impact risk score, with scores ranging from low to high reflecting changes in dynamic impact risk from small to large. The static stability index and dynamic impact risk index obtained by looking up the tables provide the basic data for subsequent fusion processing.
[0034] For example, the dynamic vibration response characteristics are characterized by the shortening of the oil sloshing cycle duration relative to the reference cycle. The greater the shortening, the higher the oil sloshing frequency, the more frequent the reciprocating impact on the tank wall, and the more frequent the dynamic impact load on the base. The dynamic scoring table adopts the same lookup method as the static scoring table, and reads the corresponding score according to the interval to which the shortening range belongs, as the output of the dynamic impact risk index.
[0035] Step S103: The static stability index and the dynamic impact risk index are fused to obtain the comprehensive risk coefficient. The comprehensive risk coefficient is combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation.
[0036] The static stability index and dynamic shock risk index are weighted and fused. A preset static weighting factor is used to multiply the static stability index to obtain a static weighted value, and a preset dynamic weighting factor is used to multiply the dynamic shock risk index to obtain a dynamic weighted value. The static weighted value and the dynamic weighted value are added together to obtain a comprehensive risk coefficient. Based on the comprehensive risk coefficient, the corresponding sloshing amplification factor is looked up in a pre-established risk level mapping table. This risk level mapping table uses the comprehensive risk coefficient range as an index and the sloshing amplification factor as an output. The sloshing amplification factor corresponding to the range of the current comprehensive risk coefficient is read from the mapping table. A correlation calculation is performed between the sloshing amplification factor and the oil sloshing cycle duration. A pre-established sloshing amplitude benchmark table is used to find the benchmark sloshing amplitude corresponding to the oil sloshing cycle duration. The benchmark sloshing amplitude is multiplied by the sloshing amplification factor to obtain the oil sloshing amplitude expansion under seismic excitation.
[0037] In one embodiment, the weighted fusion process is a process of combining the static stability index and the dynamic shock risk index according to their respective contributions, wherein the static weight factor and the dynamic weight factor reflect the proportion of the influence of static liquid level change and dynamic vibration response on the overall stability of the oil tank, respectively.
[0038] Specifically, the static weighting factor is preset based on the structural characteristics of the transformer tank and the distribution of the oil's center of gravity. When the oil level drops significantly, the change in the oil's center of gravity has a more significant impact on the static load-bearing capacity of the base. In this case, the static weighting factor is set to a relatively high value. The dynamic weighting factor is preset based on the seismic intensity level of the transformer's location. In earthquake-prone areas, the impact of dynamic vibration response on the base is more prominent, and the dynamic weighting factor is set to a relatively high value. The static stability index is multiplied by the static weighting factor to obtain the static weighted value, and the dynamic impact risk index is multiplied by the dynamic weighting factor to obtain the dynamic weighted value. The sum of the two weighted values is the comprehensive risk coefficient.
[0039] It should be noted that the risk level mapping table is pre-established based on the vibration response characteristics of the transformer under different comprehensive risk coefficients. The table divides the comprehensive risk coefficient into several continuous intervals, and each interval corresponds to a sloshing amplification factor. The sloshing amplification factor characterizes the growth ratio of the oil sloshing amplitude under seismic excitation relative to the static state.
[0040] In one possible implementation, a sloshing amplitude reference table records the reference sloshing amplitude corresponding to different oil sloshing cycle durations. The reference sloshing amplitude refers to the lateral displacement distance of a single reciprocating motion of the oil under standard oil level and stable conditions. The reference sloshing amplitude value corresponding to the current oil sloshing cycle duration is found in the sloshing amplitude reference table, and this value is multiplied by the sloshing amplification factor to obtain the maximum lateral displacement distance of the oil from the static liquid surface position towards the tank wall under seismic excitation, which is the oil sloshing amplitude expansion.
[0041] For example, the expansion of oil sloshing amplitude reflects the additional sloshing range of oil under seismic action relative to the normal state under specific comprehensive risk levels and sloshing cycles.
[0042] The overall instability of the oil tank under seismic action is determined by a comprehensive risk coefficient. The time interval of the oil reciprocating motion within the tank is collected from the oil sloshing cycle duration. The range of lateral displacement of the oil within the tank is expanded when the overall instability intensifies. The increase in the fluctuation height of the oil surface after the reciprocating motion time interval is shortened is evaluated. The target offset distance of the oil from the stationary liquid surface towards the tank wall is determined.
[0043] The overall instability level is retrieved from a pre-established instability level table based on the comprehensive risk coefficient. This table uses the comprehensive risk coefficient range as an index and the instability level as the output. The overall instability level corresponding to the current comprehensive risk coefficient is read from the table. The time interval for the oil to complete one reciprocating motion within the tank is extracted from the oil sloshing cycle duration. Based on the overall instability level, the corresponding lateral displacement expansion range is retrieved from a pre-established displacement expansion comparison table. The lateral displacement expansion range represents the increase in horizontal displacement of the oil within the tank when the overall instability intensifies. The time interval is compared with a preset reference period. If the time interval is less than the reference period, the fluctuation height increase corresponding to the shortening ratio of the time interval is retrieved from a pre-established fluctuation height increase table. The fluctuation height increase represents the increase in vertical height of the oil surface when the reciprocating motion accelerates. A composite calculation is performed based on the lateral displacement expansion range and the fluctuation height increase range. The square root of the sum of the square of the lateral displacement expansion range and the square of the fluctuation height increase range is taken to obtain the target offset distance of the oil from the stationary liquid surface towards the tank wall.
[0044] In one embodiment, the instability level table is a mapping table pre-established based on the vibration response characteristics of the transformer under different comprehensive risk coefficients. The table divides the comprehensive risk coefficient into several continuous intervals according to the numerical value, and each interval corresponds to an overall instability level. The higher the comprehensive risk coefficient, the more severe the corresponding instability level.
[0045] Specifically, when the overall risk coefficient is in a low range, the oil tank is in a relatively stable state, and the impact of oil sloshing on the base is limited. When the overall risk coefficient enters a high range, the vibration response of the oil tank under seismic excitation intensifies, and the impact intensity of oil sloshing on the tank wall increases significantly.
[0046] It should be noted that the duration of the oil sloshing cycle reflects the time it takes for the oil to complete one full reciprocating motion within the tank. The value directly extracted from this cycle duration is the time interval of the reciprocating motion. The displacement expansion lookup table is a lookup table pre-established based on the lateral motion characteristics of the oil under different instability levels. The table uses the overall instability level as the index and the lateral displacement expansion range as the output. When the overall instability level increases, the amplitude of the reciprocating sloshing of the oil in the horizontal direction increases accordingly, and the lateral displacement expansion range increases accordingly. This value represents the additional horizontal displacement distance of the oil along the long or short side of the tank under seismic excitation.
[0047] In one possible implementation, the extent of the lateral displacement expansion is related to the internal cavity size of the oil tank and the free surface area of the oil. When the oil level drops, causing the cavity above the liquid surface to increase, the horizontal swaying space of the oil expands accordingly, and the lateral displacement expansion range under seismic excitation also increases accordingly.
[0048] For example, the reference period is a standard vibration period pre-calculated based on the geometry of the transformer tank and the physical properties of the oil. It represents the standard time for the oil to complete one reciprocating motion under normal liquid level and stable conditions. When the actual time interval is less than the reference period, it indicates that the reciprocating motion frequency of the oil is accelerating and the number of impacts on the tank wall per unit time is increasing. In this case, the corresponding fluctuation height growth rate is looked up in the fluctuation height growth table. Further, the fluctuation height growth table is a lookup table pre-established based on the vertical fluctuation characteristics of the oil surface under different time interval shortening ratios. The time interval shortening ratio refers to the percentage of the difference between the actual time interval and the reference period relative to the reference period. The larger the ratio, the faster the reciprocating motion of the oil. The table uses the time interval shortening ratio as the index item and the fluctuation height growth rate as the output item. The fluctuation height growth rate characterizes the increase in the height of the oil surface in the vertical direction relative to the stationary liquid surface. When the reciprocating motion accelerates, the peak height and trough depth of the oil surface will increase, and the fluctuation height growth rate will increase accordingly. This value reflects the extent of the expansion of the undulation range of the oil surface in the vertical direction.
[0049] It is understandable that the range of lateral displacement expansion and the magnitude of fluctuation height increase represent the displacement components of oil sloshing in the horizontal and vertical directions, respectively. These two components are perpendicular to each other and act simultaneously on the oil's movement. A composite calculation is used to combine the components in both directions; the calculation formula is as follows: , where Dmax H represents the target offset distance (in meters), H represents the lateral displacement expansion range (in meters), and V represents the fluctuation height increase amplitude (in meters). This distance represents the target offset distance of the oil from its static liquid surface position to the vicinity of the tank wall along an oblique direction.
[0050] Preferably, the target offset distance takes into account both the horizontal sway of the oil in the horizontal direction and the surface undulation in the vertical direction. It can reflect the extreme position of the oil moving towards the tank wall under seismic excitation. When the target offset distance is close to or exceeds the safe distance between the static oil surface and the tank wall, it indicates that there is a risk of the oil violently impacting the tank wall.
[0051] Step S104: Compare the expansion of oil sloshing amplitude with the real-time oil level height data to obtain the sloshing excess amplitude. Based on the sloshing excess amplitude and the duration of the oil sloshing cycle, identify the impact frequency of the oil reciprocating impact on the tank wall. Based on the impact frequency and the sloshing excess amplitude, extract the peak impact force.
[0052] The expansion of oil sloshing amplitude is compared with real-time oil level data. The current oil level position is read from the real-time oil level data. A safety distance is determined based on the distance between the inner wall of the oil tank and the current oil level position. The expansion of oil sloshing amplitude is subtracted from the safety distance. If the difference is greater than zero, the sloshing exceedance amplitude is obtained. The sloshing exceedance amplitude represents the distance by which the oil sloshing range exceeds the safety boundary. The sloshing exceedance amplitude and the oil sloshing cycle duration are jointly searched in a pre-established impact frequency lookup table. The impact frequency lookup table uses the sloshing exceedance amplitude range and the oil sloshing cycle duration range as dual indexes and the impact frequency as the output. The impact frequency corresponding to the combination of the current sloshing exceedance amplitude and the oil sloshing cycle duration is read from the lookup table. The impact frequency and the excessive sway amplitude are combined in a pre-established impact force mapping table. The impact force mapping table uses the impact frequency range and the excessive sway amplitude range as dual index items and the impact force value as the output item. The peak impact force corresponding to the current combination of impact frequency and excessive sway amplitude is read from the mapping table.
[0053] In one embodiment, the safety clearance refers to the horizontal distance between the oil surface and the inner wall of the tank when the oil is at rest. This distance is calculated based on the geometry of the tank and the current liquid level position. When the oil level decreases, the safety clearance between the liquid surface and the tank wall increases accordingly, and when the oil level increases, the safety clearance decreases accordingly.
[0054] Specifically, the expansion of the oil sloshing amplitude is compared with the safety distance. If the expansion of the oil sloshing amplitude is greater than the safety distance, it indicates that the movement range of the oil during the sloshing process has exceeded the safety boundary. The difference between the two is the sloshing over-limit amplitude. The larger the sloshing over-limit amplitude, the more violent the oil impacts the tank wall.
[0055] It should be noted that the impact frequency reference table is a two-dimensional lookup table established based on laboratory simulation experiments and fluid dynamics model calculations, according to the pattern of oil impacting the tank wall under different combinations of sloshing exceedance amplitude and oil sloshing cycle duration. The table divides the sloshing exceedance amplitude into several intervals as row indexes and the oil sloshing cycle duration into several intervals as column indexes. Each row and column intersection corresponds to an impact frequency value. When the sloshing exceedance amplitude increases, the probability of the oil impacting the tank wall with each reciprocating motion increases; when the oil sloshing cycle duration shortens, the number of reciprocating motions per unit time increases. Both factors together determine the impact frequency of the oil reciprocating impact on the tank wall.
[0056] In one possible implementation, the impact force mapping table adopts the same dual-index structure as the impact frequency lookup table, with the impact frequency range as the row index and the swaying over-limit range as the column index. Each intersection point in the table corresponds to a peak impact force value. The higher the impact frequency, the more frequent the oil impacts the tank wall. The larger the swaying over-limit range, the deeper the impact penetrates. Both together determine the magnitude of the instantaneous peak impact force generated by the oil on the tank wall.
[0057] Step S105: Analyze the instantaneous dynamic load distribution of the base based on the peak impact force combined with the triaxial vibration acceleration signal of the base, identify the peak load moment in the instantaneous dynamic load distribution of the base, and extract the maximum impact load borne by the base corresponding to the peak load moment.
[0058] The impact peak force is correlated with the triaxial vibration acceleration signal of the base. Time series of the lateral, longitudinal, and vertical vibration components are extracted from the triaxial vibration acceleration signal. The impact peak force is multiplied by the vibration acceleration components in each of the three directions to obtain the instantaneous dynamic load sequence of the base in the three directions. These instantaneous dynamic load sequences are combined chronologically to form the instantaneous dynamic load distribution of the base. The load values at each time point are traversed from the instantaneous dynamic load distribution, and the time points when the load values reach a local maximum are identified and marked as the load peak moments. Based on the load peak moments, the instantaneous dynamic load values in the three directions corresponding to that moment are extracted. The squares of the three values are added together and the square root is taken to obtain the maximum impact load borne by the base.
[0059] In one embodiment, the correlation calculation between the peak impact force and the triaxial vibration acceleration signal of the base is to quantify the process of transmitting the impact force generated by the oil hitting the tank wall to the base structure. The peak impact force represents the maximum instantaneous force exerted by the oil on the tank wall, which is transmitted to the base through the oil tank body and causes the base to vibrate.
[0060] Specifically, the triaxial vibration acceleration signal of the base includes three time series: lateral vibration component, longitudinal vibration component, and vertical vibration component. Each time series records the value of the vibration acceleration of the base in the corresponding direction as a function of time. When the peak impact force is multiplied by the vibration acceleration components in the three directions, it is equivalent to calculating the dynamic load response caused by the impact force in each direction. The product results form the instantaneous dynamic load sequence in the three directions. Combining these three sequences according to the same time coordinate forms the instantaneous dynamic load distribution of the base. This distribution, with time as the horizontal axis and the load values in the three directions as the vertical axis, fully describes the dynamic load changes that the base experiences throughout the entire vibration process.
[0061] It should be noted that the identification of the load peak moment is achieved by traversing the load values of each time node in the instantaneous dynamic load distribution of the base, comparing the load magnitude of adjacent time nodes, and when the load value of a certain time node is greater than the load values of its adjacent nodes before and after it, that node is the local maximum value point, and the corresponding time is the load peak moment.
[0062] In one possible implementation, the instantaneous dynamic load values in three directions corresponding to the peak load moment are located in the instantaneous dynamic load distribution of the base. A vector synthesis method is used to combine the load components in the three mutually perpendicular directions. The squares of the three values are added together, and the square root is taken. The resulting composite result is the total spatial load borne by the base at that moment. The calculation formula is as follows: , where L max Lx represents the maximum impact load that the base can withstand (in Newtons), and Ly, Lz represent the instantaneous dynamic loads on the base in the transverse, longitudinal, and vertical directions, respectively (in Newtons).
[0063] Step S106: Evaluate the load margin of the base based on the maximum impact load and the rated load capacity of the base, and determine the dynamic load capacity level of the base based on the load margin.
[0064] The maximum impact load is compared with the base's rated load-bearing capacity. The rated load-bearing capacity of the base is obtained from the base's design parameters. The maximum impact load is then subtracted from the rated load-bearing capacity to obtain the base's load-bearing margin. The load-bearing margin is then used to search a pre-established load-bearing capacity level table. This table uses the load-bearing margin range as an index and dynamic load-bearing capacity level as the output. The dynamic load-bearing capacity level of the base corresponding to the current load-bearing margin is retrieved from the table.
[0065] In one embodiment, the rated load-bearing capacity of the base is a parameter value that is predetermined during the base design stage based on the material strength, structural dimensions and connection method of the transformer base. This parameter value is recorded in the base design parameter document and represents the maximum dynamic load limit that the base can withstand under normal working conditions.
[0066] Specifically, the rated load capacity of the base is subtracted from the maximum impact load, and the difference is the load margin of the base. When the load margin is positive, it indicates that the impact load currently borne by the base has not exceeded the design allowable range. The larger the value, the more sufficient the safety margin of the base. When the load margin is close to zero or negative, it indicates that the load condition of the base is approaching the critical point or has exceeded the design load range.
[0067] It should be noted that the load-bearing capacity level table is a pre-established hierarchical mapping table based on the base structure safety assessment standard. The table divides the load-bearing margin into several intervals according to the numerical range, and each interval corresponds to a dynamic load-bearing capacity level. The corresponding level is directly read as the dynamic load-bearing capacity level of the base based on the interval to which the load-bearing margin belongs.
[0068] The peak pressure borne by the base under impact is obtained from the maximum impact load. The allowable strength of the base material and the shear capacity of the base connectors are collected from the base design specifications. The deformation depth of the base material and the loosening degree of the connectors under the peak pressure are analyzed. The remaining capacity of the base material and connectors to maintain structural integrity under continuous impact is evaluated. The safety interval between the current load-bearing condition of the base and the critical condition of structural failure is determined.
[0069] The peak pressure borne by the base under impact is obtained from the maximum impact load. This peak pressure is obtained by dividing the maximum impact load by the bearing area specified in the base design specifications. The allowable strength of the base material and the shear capacity of the base connectors are obtained from the base design specifications. The deformation depth of the base material is obtained by jointly searching a pre-established material deformation lookup table using the peak pressure and the allowable strength. The loosening degree of the connectors is obtained by jointly searching a pre-established connector loosening lookup table using the peak pressure and the shear capacity. The allowable material deformation threshold and the allowable connector loosening threshold are obtained from the base design specifications. The deformation depth is subtracted from the allowable material deformation threshold to obtain the remaining material capacity. The loosening degree of the connectors is subtracted from the allowable connector loosening threshold to obtain the remaining connector capacity. The smaller of the remaining material capacity and the remaining connector capacity is taken as the overall remaining capacity of the base. The structural failure threshold is obtained from the base design specifications. The structural failure threshold is subtracted from the overall remaining capacity of the base to obtain the safety interval between the current load-bearing condition of the base and the structural failure threshold.
[0070] In one embodiment, the peak pressure is the pressure intensity per unit area generated by the base when it is subjected to an impact load. The bearing area is the effective support area in contact between the base and the tank body. This area is clearly recorded in the base design specification document. The peak pressure value is obtained by dividing the maximum impact load by the bearing area. This value reflects the degree of concentration of the impact on the surface of the base.
[0071] Specifically, allowable strength is the maximum stress value that the base material can withstand under the condition of ensuring safety margin. This value is usually a certain proportion of the material's yield strength. Shear capacity is the maximum load value that the base connector can withstand in the shear direction. This value is determined by the material, cross-sectional area, and number of connectors.
[0072] It should be noted that the material deformation lookup table is a two-dimensional lookup table pre-established based on the stress-strain relationship of the base material. The table uses the percentage of peak pressure to allowable strength as the row index and the base material type as the column index. Each intersection corresponds to a deformation depth value. When the percentage of peak pressure to allowable strength is low, the base material is in the elastic deformation stage, with a small deformation depth that can recover. When the percentage of peak pressure to allowable strength increases, the base material gradually enters the plastic deformation stage, with an increased deformation depth and permanent deformation. When looking up the table, the corresponding deformation depth value is located based on the ratio of the current peak pressure to the allowable strength.
[0073] For example, the deformation depth characterizes the amount of compression in the thickness direction or the depth of surface indentation of the base material under impact pressure. The larger the value, the more severe the damage to the material.
[0074] In one possible implementation, the connector loosening reference table is a two-dimensional lookup table pre-established based on the displacement characteristics of the base connectors under different loads. The table uses the percentage of peak pressure to shear capacity as the row index and the connector type as the column index. Each intersection corresponds to a loosening degree value. The loosening degree of the connector is characterized by the displacement or angular change of the connector relative to its initial installation position. When the percentage of peak pressure to shear capacity is low, the connector remains tight, and the loosening degree is close to zero. When the percentage of peak pressure to shear capacity increases, the connector begins to slip relative to itself or the bolt preload decreases, and the loosening degree increases accordingly. Furthermore, the assessment of the connector loosening degree needs to consider the fastening method of the connector; different fastening methods correspond to different loosening characteristics. When looking up the table, the corresponding loosening degree value is located based on the ratio of the current peak pressure to shear capacity and the connector type.
[0075] Understandably, the allowable material deformation threshold and the allowable connector loosening threshold represent the maximum allowable deformation depth and maximum loosening degree of the base material and connectors, respectively, while maintaining structural integrity. These two thresholds are preset in the base design specifications based on material properties and safety factors. The remaining material capacity is obtained by subtracting the current deformation depth from the allowable material deformation threshold, and the remaining connector capacity is obtained by subtracting the current loosening degree from the allowable connector loosening threshold. The smaller of the two values is taken as the overall remaining capacity of the base. This method of determination is based on the principle that the overall load-bearing capacity of the base is determined by its weakest link; whether the material or the connector reaches its allowable limit first, it will lead to structural failure of the base.
[0076] Preferably, the structural failure threshold is the boundary value at which the base transitions from a normal working state to a failure state. This value is predetermined in the base design specifications according to the structural safety assessment standards. The difference between the structural failure threshold and the overall remaining capacity of the base is the safety interval.
[0077] In one embodiment, when the safety interval is positive and large, it indicates that the current load-bearing condition of the base is still far from the critical failure condition of the structure. When the safety interval is positive but small, it indicates that the base is approaching the failure boundary. When the safety interval is zero or negative, it indicates that the base has reached or exceeded the critical failure condition.
[0078] If the technical solution of this application involves the collection, storage, use, processing, transmission, provision, disclosure, or deletion of personal information, the products using this technical solution have clearly and understandably informed the users of the personal information processing rules before processing personal information, and have obtained the individuals' voluntary consent in accordance with the law. If the technical solution of this application involves sensitive personal information (such as biometrics, religious beliefs, specific identities, medical and health information, financial accounts, and location tracking), the products using this solution have obtained the individuals' separate consent before processing sensitive personal information, and have also met the requirement of "express consent," ensuring that individuals make authorization decisions voluntarily based on full knowledge.
[0079] Specific implementation methods include, but are not limited to, the following: setting up clear and prominent signs at personal information collection devices such as cameras and sensors to inform relevant personnel that they have entered the scope of personal information collection and that their personal information will be collected and processed. If an individual voluntarily enters the collection scope after being informed, it is deemed that they have agreed to the collection of their personal information; or using obvious icons, text descriptions, or other means on the terminal device or system interface for personal information processing to inform them of the rules for personal information processing, and obtaining the individual's explicit authorization through interactive methods such as pop-up prompts, check confirmation boxes, or asking the individual to upload their personal information themselves.
[0080] The aforementioned personal information processing rules should include, but are not limited to, the name and contact information of the personal information processor, the specific purpose of personal information processing, the processing method, the types of personal information processed, the retention period, and the methods and procedures for individuals to exercise their relevant rights.
[0081] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.
Claims
1. A method for analyzing the installation stability and load-bearing capacity of a transformer base, characterized in that, include: Real-time oil level height data is collected by an oil level probe, and the triaxial vibration acceleration signal of the base is recorded simultaneously by a vibration module. The oil level drop amplitude value is extracted from the real-time oil level height data, and the oil sloshing cycle duration is obtained by processing the triaxial vibration acceleration signal of the base using Fourier transform. The stability of oil sloshing is assessed based on the oil level drop magnitude and the duration of the oil sloshing cycle. The static stability index is determined based on the static level change characteristics in the oil sloshing stability. The dynamic impact risk index is determined based on the dynamic vibration response characteristics in the oil sloshing stability. The static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. The comprehensive risk coefficient is combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation. The expansion of the oil sloshing amplitude is compared with the real-time oil level height data to obtain the sloshing excess amplitude. The impact frequency of the oil reciprocating impact on the tank wall is identified based on the sloshing excess amplitude and the oil sloshing cycle duration. The peak impact force is extracted based on the impact frequency and the sloshing excess amplitude. Based on the peak impact force and the triaxial vibration acceleration signal of the base, the instantaneous dynamic load distribution of the base is analyzed, the peak load moment in the instantaneous dynamic load distribution of the base is identified, and the maximum impact load borne by the base corresponding to the peak load moment is extracted. The load-bearing margin of the base is assessed based on the maximum impact load and the rated load-bearing capacity of the base, and the dynamic load-bearing capacity level of the base is determined based on the load-bearing margin.
2. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, The process involves acquiring real-time oil level data via an oil level probe, simultaneously recording the triaxial vibration acceleration signal of the base via a vibration module, extracting the oil level drop amplitude from the real-time oil level data, and using Fourier transform to process the triaxial vibration acceleration signal of the base to obtain the oil sloshing period duration, including: The real-time oil level height data is obtained through the oil level probe, and the distance difference between the current liquid level position and the standard liquid level baseline is extracted from the real-time oil level height data. The oil level drop value is determined based on the change of the distance difference. The vibration module collects the triaxial vibration acceleration signal of the base, performs frequency domain conversion on the triaxial vibration acceleration signal to obtain the vibration spectrum distribution, extracts the main frequency component from the vibration spectrum distribution, and obtains the oil sloshing period duration by taking the reciprocal of the frequency value corresponding to the main frequency component.
3. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, The stability of oil sloshing is assessed based on the oil level drop magnitude and the duration of the oil sloshing cycle. A static stability index is determined based on the static level change characteristics of the oil sloshing stability. A dynamic shock risk index is determined based on the dynamic vibration response characteristics of the oil sloshing stability, including: By correlating and comparing the oil level drop value with the oil sloshing cycle duration, static liquid level change characteristics are identified from the oil sloshing stability, and the static stability index is determined based on the static liquid level change characteristics. Identify dynamic vibration response characteristics from the oil sloshing stability, and determine the dynamic impact risk index based on the dynamic vibration response characteristics.
4. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, The static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. This comprehensive risk coefficient is then combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation, including: The comprehensive risk coefficient is obtained by weighting and fusing the static stability index and the dynamic shock risk index. The sloshing amplification factor is found in the risk level mapping table based on the comprehensive risk coefficient. The sloshing amplification factor is correlated with the duration of the oil sloshing cycle. The reference sloshing amplitude is read from the sloshing amplitude reference table. The reference sloshing amplitude is multiplied by the sloshing amplification factor to obtain the expansion amount of the oil sloshing amplitude under seismic excitation.
5. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 4, characterized in that, The static stability index and the dynamic shock risk index are fused to obtain a comprehensive risk coefficient. This comprehensive risk coefficient is then combined with the oil sloshing period duration to determine the expansion of the oil sloshing amplitude under seismic excitation. The method further includes: The overall instability of the oil tank under seismic loading is determined by the comprehensive risk coefficient. The time interval of the oil's reciprocating motion within the tank is collected from the oil sloshing cycle duration. The extent of the lateral displacement of the oil within the tank is analyzed when the overall instability worsens. The increase in the fluctuation height of the oil surface after the reciprocating motion time interval is shortened is assessed. The target offset distance of the oil from the stationary liquid surface towards the tank wall is determined, specifically including: Find the overall instability level in the instability level table based on the comprehensive risk coefficient; Extract the time interval from the oil sloshing cycle duration, and find the lateral displacement expansion range in the displacement expansion lookup table according to the overall instability level; The fluctuation height growth rate is found in the fluctuation height growth table by comparing the time interval with the baseline period. The target offset distance is obtained by combining the expansion range of the lateral displacement with the increase in the fluctuation height, and then adding the square of the expansion range of the lateral displacement with the square of the increase in the fluctuation height.
6. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, The expansion of the oil sloshing amplitude is compared with the real-time oil level data to obtain the sloshing excess amplitude. Based on the sloshing excess amplitude and the duration of the oil sloshing cycle, the impact frequency of the oil reciprocatingly impacting the tank wall is identified. Based on the impact frequency and the sloshing excess amplitude, the peak impact force is extracted, including: The extent of excessive sloshing is determined by comparing the expansion of the oil sloshing amplitude with the real-time oil level data. The impact frequency is found in the impact frequency comparison table based on the excessive swaying amplitude and the duration of the oil swaying cycle. The peak value of the impact force is found in the impact force mapping table based on the impact frequency and the excessive sway amplitude.
7. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, Based on the peak impact force and the triaxial vibration acceleration signal of the base, the instantaneous dynamic load distribution of the base is analyzed, the peak load moment in the instantaneous dynamic load distribution of the base is identified, and the maximum impact load borne by the base at the peak load moment is extracted, including: The instantaneous dynamic load distribution of the base is obtained by performing correlation calculations between the peak impact force and the triaxial vibration acceleration signal of the base. Identify the peak load moment from the instantaneous dynamic load distribution of the base; The maximum impact load borne by the base is extracted based on the peak load time.
8. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 1, characterized in that, The load-bearing margin of the base is assessed based on the maximum impact load and the rated load-bearing capacity of the base. The dynamic load-bearing capacity level of the base is then determined based on this load-bearing margin, including: The bearing capacity margin of the base is obtained by comparing the maximum impact load with the rated bearing capacity of the base. The dynamic load-bearing capacity level of the base is determined in the load-bearing capacity level table based on the load-bearing margin.
9. The method for analyzing the installation stability and load-bearing capacity of a transformer base according to claim 8, characterized in that, The assessment of the base's load-bearing margin based on the maximum impact load and the base's rated load-bearing capacity, and the determination of the base's dynamic load-bearing capacity level based on the load-bearing margin, further includes: The peak pressure borne by the base under impact is obtained from the maximum impact load. The allowable strength of the base material and the shear capacity of the base connectors are collected from the base design specifications. The deformation depth of the base material and the loosening degree of the connectors under the peak pressure are analyzed. The remaining capacity of the base material and connectors to maintain structural integrity under continuous impact is evaluated. The safety interval between the current load-bearing condition of the base and the critical condition of structural failure is determined.
Citation Information
Patent Citations
Buffering method and buffering system for impact dynamic response test of arresting hook of carrier-based aircraft
CN117087872A