An intelligent analysis method and system for isolation performance parameters based on a dynamic model

Abstract

The application discloses a kind of based on dynamic model's shock insulation performance parameter intelligent analysis method and system, it is related to shock insulation performance analysis technical field, including obtaining shock insulation system information, according to shock insulation system structure information, based on shock insulation design target, obtain target shock insulation grade information, according to protected equipment information, based on protected equipment vibration sensitive analysis, obtain basic shock insulation grade information.The application accurately analyzes the stress condition of shock insulation system by seismic stress characteristic point, determines the difference between different data by shock insulation energy consumption coefficient, simulates seismic test on shock insulation system by taking basic shock insulation grade and target shock insulation grade as seismic simulation grade range and taking seismic intensity sensitive interval as seismic grade change value, realizes accurate test on shock insulation performance, and the stability and reliability of shock insulation performance analysis are ensured by comprehensively processing data through weight coefficient.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of seismic isolation performance analysis, in particular to a seismic isolation performance parameter intelligent analysis method and system based on a dynamic model. BACKGROUND

[0002] In recent decades, destructive earthquakes have occurred worldwide, and earthquakes not only cause damage to building structures, but also cause serious damage to critical mechanical and electrical equipment, such as displacement, damage, or even failure of equipment due to severe vibration caused by earthquakes, which directly affects the operation of lifeline projects and the efficiency of post-disaster rescue. Under this background, the seismic isolation system has become a core component of the mechanical and electrical equipment anti-seismic, and its performance directly determines the safety and survival ability of the equipment in the earthquake. Therefore, accurate monitoring and scientific evaluation of the performance of the seismic isolation system has become a key link to improve the anti-seismic reliability of the mechanical and electrical equipment. The traditional seismic isolation performance evaluation method mainly relies on a single sensor or a single data source for measurement, but due to complex environmental factors and structural characteristics, a single data source often cannot comprehensively and accurately reflect the seismic isolation performance. Based on this, the multi-modal data fusion technology has become a hot spot in recent years, and the combination of various sensors such as acceleration sensors, strain gauges, temperature sensors, and displacement sensors can obtain seismic efficiency information from different angles, thereby realizing accurate monitoring and evaluation of the state of the seismic isolation device.

[0003] At present, the analysis of the seismic isolation performance parameters still has the problems that the performance of the seismic isolation system cannot be accurately analyzed, the seismic isolation performance cannot be accurately evaluated according to the seismic test data, the accuracy of the test data cannot be ensured, the existing seismic performance detection methods generally have the problems of insufficient precision and poor real-time performance, if a single type of data is directly monitored, the seismic isolation performance cannot be accurately evaluated, which affects the safety evaluation and maintenance of the seismic isolation device, if multiple data are evaluated, the data processing amount is large, and when the data are comprehensively analyzed, the difference between different data sources cannot be accurately analyzed, and the stability and reliability of the data analysis cannot be ensured. SUMMARY

[0004] To solve the above technical problems, the present application provides a seismic isolation performance parameter intelligent analysis method and system based on a dynamic model, which solves the problems of the background technology that the performance of the seismic isolation system cannot be accurately analyzed, the seismic isolation performance cannot be accurately evaluated according to the seismic test data, the accuracy of the test data cannot be ensured, the existing seismic performance detection methods generally have the problems of insufficient precision and poor real-time performance, if a single type of data is directly monitored, the seismic isolation performance cannot be accurately evaluated, which affects the safety evaluation and maintenance of the seismic isolation device, if multiple data are evaluated, the data processing amount is large, and when the data are comprehensively analyzed, the difference between different data sources cannot be accurately analyzed, and the stability and reliability of the data analysis cannot be ensured.

[0005] To achieve the above object, the technical scheme adopted by the present application is:

[0006] An intelligent analysis method for isolation performance parameters based on a dynamic model, comprising:

[0007] Obtaining isolation system information, the isolation system information comprising isolation system structure information and protected equipment information;

[0008] According to the isolation system structure information, obtaining target isolation level information based on isolation design goals, the target isolation level information representing the maximum earthquake level that the isolation system design achieves to isolate;

[0009] According to the protected equipment information, obtaining basic isolation level information based on protected equipment vibration sensitivity analysis, the basic isolation level information representing the maximum earthquake level that the protected equipment can withstand to ensure normal operation without isolation protection;

[0010] Obtaining monitoring sensor information, the monitoring sensor information comprising monitoring sensor type information, the monitoring sensor type comprising an accelerometer, a displacement sensor, a strain gauge, and a pressure sensor;

[0011] According to the basic isolation level information and the target isolation level information, performing simulated earthquake testing on the isolation system based on the monitoring sensor to obtain basic earthquake testing data;

[0012] According to the basic earthquake testing data, obtaining monitoring point information and isolation energy consumption coefficients corresponding to each monitoring point;

[0013] According to the monitoring point information and the isolation energy consumption coefficients corresponding to each monitoring point, obtaining isolation performance information based on the simulated earthquake testing.

[0014] Preferably, according to the basic earthquake testing data, the monitoring point information and the isolation energy consumption coefficients corresponding to each monitoring point are obtained, specifically comprising:

[0015] According to the basic isolation level information and the target isolation level information, obtaining corresponding basic earthquake testing data;

[0016] According to the basic earthquake testing data, obtaining seismic stress characteristic points;

[0017] Taking the seismic stress characteristic points as a reference, obtaining strain characteristic forces based on equivalent forces corresponding to the basic isolation level information and the target isolation level information;

[0018] According to the isolation system information, obtaining monitoring point information;

[0019] The seismic strain test data includes stress sensing data and displacement sensing data;

[0020] According to the seismic strain test data, a hysteresis curve is constructed with displacement as the abscissa and stress as the ordinate;

[0021] Based on the seismic strain test data, corresponding simulated seismic vibration period information is obtained;

[0022] The simulated seismic vibration period information is corresponded with the hysteresis curve, and the hysteresis curve in any one simulated seismic vibration period is taken as a seismic isolation energy consumption characteristic curve;

[0023] According to the seismic isolation energy consumption characteristic curve, a hysteresis loop area is obtained, the seismic isolation energy consumption characteristic curve represents a closed curve formed by stress and strain under the action of strain characteristic force, and the hysteresis loop area directly represents the energy consumed by the seismic isolation system in one vibration period;

[0024] According to the seismic isolation energy consumption characteristic curve, maximum displacement information of the seismic isolation system is obtained;

[0025] The product of half of the strain characteristic force and the maximum displacement of the seismic isolation system is taken as the seismic potential energy;

[0026] Based on an equivalent viscous damping ratio calculation formula, the equivalent viscous damping ratio is obtained according to the hysteresis loop area and the seismic potential energy;

[0027] The equivalent viscous damping ratio corresponding to each monitoring point is taken as the seismic isolation energy consumption coefficient corresponding to the monitoring point.

[0028] Preferably, the seismic stress characteristic point is obtained according to the basic seismic test data, specifically including:

[0029] According to the basic seismic isolation grade transverse wave intensity information and the longitudinal wave intensity information, the seismic isolation system is subjected to basic simulated seismic test;

[0030] According to the target seismic isolation grade transverse wave intensity information and the longitudinal wave intensity information, the seismic isolation system is subjected to basic simulated seismic test, and basic seismic test data is obtained;

[0031] According to the target seismic isolation grade transverse wave intensity information and the longitudinal wave intensity information, the seismic isolation system is subjected to basic simulated seismic test, and basic seismic test data is obtained;

[0032] According to the target seismic isolation grade transverse wave intensity information and the longitudinal wave intensity information, the seismic isolation system is subjected to basic simulated seismic test, and basic seismic test data is obtained;

[0033] According to the basic seismic test data, the maximum displacement points of transverse waves and longitudinal waves of the seismic isolation system are obtained;

[0034] the maximum displacement point of the isolation system in the transverse wave when the target isolation level is reached is taken as the fourth characteristic point;

[0035] According to the foundation seismic test data, the maximum displacement point of the isolation system in the transverse wave and the maximum displacement point of the isolation system in the longitudinal wave are obtained;

[0036] the maximum displacement point of the isolation system in the transverse wave when the target isolation level is reached is taken as the fourth characteristic point;

[0037] the line connecting the first characteristic point and the third characteristic point is taken as the transverse wave stress trend line, and the line connecting the second characteristic point and the fourth characteristic point is taken as the longitudinal wave stress trend line;

[0038] the intersection of the transverse wave stress trend line and the longitudinal wave stress trend line is taken as the seismic stress characteristic point.

[0039] Preferably, the seismic stress characteristic point is taken as the basis, and the equivalent force corresponding to the foundation isolation level information and the target isolation level information is used to obtain the strain characteristic force, specifically including:

[0040] the sum of the distances of the first characteristic point, the second characteristic point and the seismic stress characteristic point is taken as the stress offset value corresponding to the foundation isolation level;

[0041] the sum of the distances of the third characteristic point, the fourth characteristic point and the seismic stress characteristic point is taken as the stress offset value corresponding to the target isolation level;

[0042] According to the foundation isolation level information and the target isolation level information, the equivalent force is used to obtain the foundation maximum force information and the target maximum force information;

[0043] the sum of the stress offset values corresponding to the target isolation level and the foundation isolation level is taken as the stress offset characteristic value;

[0044] the product of the ratio of the stress offset value corresponding to the foundation isolation level to the stress offset characteristic value and the foundation maximum force is taken as the foundation offset force;

[0045] the product of the ratio of the stress offset value corresponding to the target isolation level to the stress offset characteristic value and the target maximum force is taken as the target offset force;

[0046] the average of the foundation offset force and the target offset force is taken as the strain characteristic force.

[0047] Preferably, the monitoring point information is obtained according to the isolation system information, specifically including:

[0048] According to the isolation system information, obtain isolation system structure information and protected equipment information;

[0049] The contact area between the isolation system and the protected equipment is taken as a monitoring basic area;

[0050] According to the seismic stress feature points, the projection of the seismic stress feature points in the monitoring basic area is taken as a basic monitoring point;

[0051] Based on the protected equipment vibration response distance analysis, obtain basic monitoring distance information, which represents the minimum distance of the protected equipment vibration response;

[0052] The minimum identification distance of the isolation system stress point is taken as a feature monitoring distance;

[0053] The basic monitoring point is taken as the center, and the feature monitoring distance is taken as the distance threshold value, to generate the first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance;

[0054] After the first monitoring point is generated, the distance threshold value is adjusted to the basic monitoring distance to generate the second monitoring point until the second monitoring point covers the monitoring basic area;

[0055] According to the basic monitoring point, the first monitoring point and the second monitoring point, obtain monitoring point information.

[0056] Preferably, according to the monitoring point information and the isolation energy consumption coefficient corresponding to each monitoring point, based on the simulated earthquake test, obtain isolation performance information, specifically including:

[0057] Based on the protected equipment structure analysis, obtain the seismic intensity sensitive interval, which represents the minimum seismic intensity change that the protected equipment can identify;

[0058] Take the basic isolation level and the target isolation level as the seismic simulation level range, and take the seismic intensity sensitive interval as the seismic level change value, to perform simulated earthquake test on the isolation system, and obtain simulated earthquake test data, including displacement monitoring data and acceleration monitoring data corresponding to each monitoring point;

[0059] Take the ratio of the isolation energy consumption coefficient corresponding to each monitoring point and the sum of the isolation energy consumption coefficients corresponding to all monitoring points as the weight coefficient corresponding to the monitoring point;

[0060] According to the weight coefficient corresponding to each monitoring point, the displacement monitoring data and the acceleration monitoring data, based on weighted summation, obtain comprehensive displacement data and comprehensive acceleration data;

[0061] Take the comprehensive displacement data and the comprehensive acceleration data as the isolation performance information.

[0062] Further, an intelligent analysis system for isolation performance parameters based on a dynamic model is proposed, which is used to implement the analysis method as described above, and comprises:

[0063] a main control module, configured to perform simulated earthquake testing on the isolation system based on the monitoring sensors according to the basic isolation level information and the target isolation level information, to obtain basic earthquake testing data, to take the basic isolation level and the target isolation level as the range of earthquake simulation levels, to take the earthquake intensity sensitive interval as the earthquake level change value, to perform simulated earthquake testing on the isolation system to obtain simulated earthquake testing data, to construct a hysteresis curve with displacement as the horizontal coordinate and stress as the vertical coordinate according to the earthquake strain testing data, to correspond the simulated earthquake vibration period information with the hysteresis curve, to take the hysteresis curve in any simulated earthquake vibration period as an isolation energy consumption characteristic curve, to obtain the hysteresis loop area according to the isolation energy consumption characteristic curve, and to obtain the equivalent viscous damping ratio based on an equivalent viscous damping ratio calculation formula according to the hysteresis loop area and the isolation potential energy;

[0064] an information acquisition module, configured to acquire isolation system information, the isolation system information comprising isolation system structure information and protected equipment information, and to acquire monitoring sensor information, the monitoring sensor information comprising monitoring sensor type information, to acquire target isolation level information based on isolation design targets according to the isolation system structure information, and to acquire basic isolation level information based on protected equipment vibration sensitivity analysis according to the protected equipment information;

[0065] an evaluation module, configured to obtain earthquake stress feature points according to the basic earthquake testing data, to take the distance sum of the first feature point, the second feature point and the earthquake stress feature points as the stress offset value corresponding to the basic isolation level, to take the distance sum of the third feature point, the fourth feature point and the earthquake stress feature points as the stress offset value corresponding to the target isolation level, to take the average of the basic offset force and the target offset force as the strain characteristic force, to obtain the earthquake stress feature points according to the basic earthquake testing data, to take the basic monitoring point as the center and the characteristic monitoring distance as the distance threshold, to generate the first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance, to adjust the distance threshold to the basic monitoring distance to generate the second monitoring point after the first monitoring point is generated, and to cover the monitoring basic area until the second monitoring point.

[0066] a display module, which interacts with the main control module and is configured to output and display the basic earthquake testing data, the monitoring point information, the isolation energy consumption coefficient corresponding to each monitoring point, and the isolation performance information.

[0067] Optionally, the main control module specifically comprises:

[0068] A control unit is configured to construct a hysteresis curve according to seismic strain test data, with displacement as the horizontal coordinate and stress as the vertical coordinate, to correspond the simulated seismic vibration period information with the hysteresis curve, to take the hysteresis curve in any one simulated seismic vibration period as an energy consumption characteristic curve of the isolation, to obtain the hysteresis loop area according to the energy consumption characteristic curve of the isolation, and to obtain the equivalent viscous damping ratio according to the hysteresis loop area and the potential energy of the isolation based on an equivalent viscous damping ratio calculation formula.

[0069] An information receiving unit is interactive with the information obtaining module and the evaluation module, configured to receive data and transmit to the simulation test unit.

[0070] The simulation test unit is configured to perform simulated seismic test on the isolation system according to the basic isolation level information and the target isolation level information, to obtain the basic seismic test data, to take the basic isolation level and the target isolation level as the seismic simulation level range, to take the seismic intensity sensitive interval as the seismic level change value, and to perform simulated seismic test on the isolation system to obtain the simulated seismic test data.

[0071] Optionally, the information obtaining module specifically comprises:

[0072] A first obtaining unit is configured to obtain the isolation system information, including the isolation system structure information and the protected equipment information, and to obtain the monitoring sensor information, including the monitoring sensor type information.

[0073] A second obtaining unit is configured to obtain the target isolation level information based on the isolation design target according to the isolation system structure information, and to obtain the basic isolation level information based on the protected equipment vibration sensitive analysis according to the protected equipment information.

[0074] Optionally, the evaluation module specifically comprises:

[0075] A first evaluation unit is configured to obtain the seismic stress characteristic point according to the basic seismic test data, to take the distance sum of the first characteristic point, the second characteristic point and the seismic stress characteristic point as the stress offset value corresponding to the basic isolation level, to take the distance sum of the third characteristic point, the fourth characteristic point and the seismic stress characteristic point as the stress offset value corresponding to the target isolation level, and to take the mean value of the basic offset force and the target offset force as the strain characteristic force.

[0076] The second evaluation unit is used for obtaining a seismic stress feature point according to basic seismic test data, taking a basic monitoring point as a center, a feature monitoring distance as a distance threshold, generating a first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds a basic monitoring distance, adjusting the distance threshold to the basic monitoring distance to generate a second monitoring point after the first monitoring point is generated, and covering a monitoring basic area until the second monitoring point.

[0077] Compared with the prior art, the beneficial effects of the present application are that:

[0078] The present application provides an intelligent analysis method and system for isolation performance parameters based on a dynamic model, which simulates seismic testing on an isolation system through basic isolation level information and target isolation level information, accurately analyzes the stress condition of the isolation system through a seismic stress feature point, determines the difference between different data through an isolation energy consumption coefficient, simulates seismic testing on the isolation system by taking the basic isolation level and the target isolation level as the seismic simulation level range and taking the seismic intensity sensitive interval as the seismic level change value, accurately tests the isolation performance, and comprehensively processes the data through a weight coefficient, thereby ensuring the stability and reliability of the isolation performance analysis. BRIEF DESCRIPTION OF DRAWINGS

[0079] Figure 1 A flowchart of the intelligent analysis method for isolation performance parameters based on a dynamic model is provided in the present application.

[0080] Figure 2 A flowchart of the isolation energy consumption coefficient acquisition in the present application is provided.

[0081] Figure 3 A flowchart of the seismic stress feature point acquisition in the present application is provided.

[0082] Figure 4 A flowchart of the strain feature force acquisition in the present application is provided.

[0083] Figure 5 A structure block diagram of the intelligent analysis system for isolation performance parameters based on a dynamic model is provided in the present application. DETAILED DESCRIPTION

[0084] The following description is used to disclose the present application so that those skilled in the art can implement the present application. The preferred embodiments in the following description are only used as examples, and other obvious modifications can be thought of by those skilled in the art.

[0085] REFERENCE Figure 1 - Figure 4 As shown in the drawings, the intelligent analysis method for isolation performance parameters based on a dynamic model in the embodiment of the present application comprises:

[0086] Obtaining isolation system information, the isolation system information including isolation system structure information and protected equipment information;

[0087] According to the isolation system structure information, obtaining target isolation level information based on the isolation design target, the target isolation level information representing the maximum earthquake level that the isolation system design achieves isolation;

[0088] According to the protected equipment information, obtaining basic isolation level information based on the protected equipment vibration sensitivity analysis, the basic isolation level information representing the maximum earthquake level that the protected equipment can withstand without isolation protection to ensure normal operation;

[0089] Obtaining monitoring sensor information, the monitoring sensor information including monitoring sensor type information, the monitoring sensor type including accelerometer, displacement sensor, strain gauge and pressure sensor;

[0090] According to the basic isolation level information and the target isolation level information, performing simulated earthquake testing on the isolation system based on the monitoring sensor to obtain basic earthquake testing data;

[0091] According to the basic earthquake testing data, obtaining monitoring point information and isolation energy consumption coefficient corresponding to each monitoring point;

[0092] Specifically, according to the basic earthquake testing data, obtaining monitoring point information and isolation energy consumption coefficient corresponding to each monitoring point, specifically including:

[0093] According to the basic isolation level information and the target isolation level information, obtaining corresponding basic earthquake testing data;

[0094] According to the basic earthquake testing data, obtaining seismic stress characteristic points;

[0095] Taking the seismic stress characteristic points as the benchmark, obtaining strain characteristic force based on the equivalent force corresponding to the basic isolation level information and the target isolation level information;

[0096] According to the isolation system information, obtaining monitoring point information;

[0097] Taking the strain characteristic force as the benchmark, performing simulated earthquake testing on the isolation system to obtain seismic strain testing data corresponding to each monitoring point, the seismic strain testing data including stress sensing data and displacement sensing data;

[0098] According to the seismic strain testing data, constructing a hysteresis curve with displacement as the abscissa and stress as the ordinate;

[0099] Based on the seismic strain testing data, obtaining corresponding simulated earthquake vibration period information;

[0100] Corresponding the simulated seismic vibration period information with the hysteresis curve, taking the hysteresis curve in any one simulated seismic vibration period as the energy consumption characteristic curve of the isolation;

[0101] According to the isolation energy consumption characteristic curve, the hysteresis loop area is obtained, the isolation energy consumption characteristic curve represents a closed curve formed by stress and strain as relational quantities under the action of the strain characteristic force, and the hysteresis loop area directly represents the energy consumed by the isolation system in one vibration period;

[0102] According to the isolation energy consumption characteristic curve, the maximum displacement information of the isolation system is obtained;

[0103] The product of half of the strain characteristic force and the maximum displacement of the isolation system is taken as the isolation potential energy;

[0104] Based on the equivalent viscous damping ratio calculation formula, the equivalent viscous damping ratio is obtained according to the hysteresis loop area and the isolation potential energy;

[0105] The equivalent viscous damping ratio corresponding to each monitoring point is taken as the isolation energy consumption coefficient corresponding to the monitoring point.

[0106] In the scheme, multi-dimensional dynamic modeling, energy loss quantification and accurate parameter extraction realize the whole-chain empowerment from simulation test to engineering optimization in intelligent analysis of isolation performance. Through the calculation of hysteresis curve and hysteresis loop area, the nonlinear mechanical behavior of the isolation system is converted into quantifiable energy consumption indicators, and the hysteresis loop area directly corresponds to the single-period seismic energy consumption (such as the ring area of 0.8kN·m of the sliding friction type isolation device, indicating that 800J of energy is dissipated per cycle), helping engineers to intuitively evaluate the isolation efficiency under different working conditions;

[0107] Based on the equivalent viscous damping ratio formula:

[0108] ;

[0109] In the formula, is the equivalent viscous damping ratio, represents the hysteresis energy consumption, is the potential energy of the isolation system.

[0110] The isolation test data is converted into a unified damping index, the data difference between different parameters of the isolation device is eliminated, the interference of the analysis result is eliminated, the damping performance has cross-scheme comparability, the isolation performance analysis is upgraded from experience judgment to data definition, and the parameter precision and engineering efficiency are significantly improved. Especially in high-intensity earthquake areas, the accurate evaluation of the energy consumption capacity of the isolation system provides core technical support for the safety target of building structures.

[0111] Specifically, according to the basic seismic test data, the seismic stress feature points are obtained, specifically including:

[0112] According to the base isolation level information, obtain base isolation level transverse wave intensity information and longitudinal wave intensity information;

[0113] According to the base isolation level information, obtain base isolation level transverse wave intensity information and longitudinal wave intensity information;

[0114] According to the target isolation level information, obtain target isolation level transverse wave intensity information and longitudinal wave intensity information;

[0115] According to the target isolation level information, obtain target isolation level transverse wave intensity information and longitudinal wave intensity information;

[0116] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0117] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0118] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0119] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0120] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0121] According to the base seismic test data, obtain the transverse wave maximum displacement point and the longitudinal wave maximum displacement point of the isolation system;

[0122] In this scheme, through hierarchical simulation test, feature point positioning and stress trend analysis, the visualization of seismic response law and the accurate extraction of key parameters are realized in intelligent analysis of isolation performance. Through the differential test of transverse and longitudinal wave intensity of base and target isolation levels, the earthquake scene is simulated comprehensively. The base level test simulates the conventional earthquake working condition (such as fortification intensity 7 degrees), and the target level test covers extreme working conditions (such as 8 degrees rare earthquake), ensuring that the isolation system performance test covers more than 95% of the actual earthquake scene, avoiding the evaluation deviation caused by single test working condition. The horizontal shear and vertical impact of transverse and longitudinal waves simulate earthquakes respectively, and through independent test and comparison, the response difference of the isolation system to different seismic waves can be quantified, ensuring the authenticity of the earthquake simulation, and determining the data basis for the isolation performance analysis. Through the transverse / longitudinal wave maximum displacement point, the stress concentration area of the isolation system is directly locked, avoiding the inefficiency of global analysis.

[0123] Specifically, based on the equivalent force corresponding to the basic isolation level information and the target isolation level information, the strain characteristic force is obtained with the seismic stress characteristic point as the reference, specifically including:

[0124] The sum of the distances of the first feature point, the second feature point and the seismic stress characteristic point is taken as the stress offset value corresponding to the basic isolation level;

[0125] The sum of the distances of the third feature point, the fourth feature point and the seismic stress characteristic point is taken as the stress offset value corresponding to the target isolation level;

[0126] According to the basic isolation level information and the target isolation level information, the basic maximum force information and the target maximum force information are obtained based on the equivalent force;

[0127] The sum of the stress offset values corresponding to the target isolation level and the basic isolation level is taken as the stress offset characteristic value;

[0128] The product of the ratio of the stress offset value corresponding to the basic isolation level to the stress offset characteristic value and the basic maximum force is taken as the basic offset force;

[0129] The product of the ratio of the stress offset value corresponding to the target isolation level to the stress offset characteristic value and the target maximum force is taken as the target offset force;

[0130] The mean value of the basic offset force and the target offset force is taken as the strain characteristic force.

[0131] In this scheme, by calculating the stress offset value, the response difference of the isolation system under different levels of earthquakes is converted into a measurable index. By taking the seismic stress characteristic point as the reference, the stress offset values of the basic and target isolation levels are compared, which can intuitively reflect the performance fluctuation of the system under normal and extreme working conditions. Based on the basic and target maximum forces, the offset force is calculated by combining the stress offset ratio, which realizes the dynamic fusion of the stress under different seismic levels. This method not only considers the stability performance under normal working conditions, but also takes into account the bearing limit under extreme working conditions, so that the calculated strain characteristic force is more in line with the actual complex earthquake scene. It can accurately simulate the limit stress state of the isolation system under rare earthquakes (such as high intensity areas), and the strain characteristic force as the mean value of the basic and target offset forces comprehensively reflects the typical stress level of the isolation system under all working conditions. This parameter can be directly used for simulation testing and performance evaluation, and compared with single level force, it can more comprehensively verify the stability of the isolation system under different seismic intensities.

[0132] Specifically, according to the isolation system information, the monitoring point information is obtained, specifically including:

[0133] According to the isolation system information, obtain the isolation system structure information and the protected equipment information;

[0134] The contact area of the isolation system and the protected equipment is taken as the monitoring basic area;

[0135] According to the seismic stress characteristic points, the projection of the seismic stress characteristic points in the monitoring basic area is taken as the basic monitoring point;

[0136] Based on the protected equipment vibration response distance analysis, obtain the basic monitoring distance information, which represents the minimum distance of the protected equipment vibration response;

[0137] The minimum identification distance of the isolation system stress point is taken as the characteristic monitoring distance;

[0138] Taking the basic monitoring point as the center and the characteristic monitoring distance as the distance threshold, the first monitoring point is generated until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance;

[0139] After the first monitoring point is generated, the distance threshold is adjusted to the basic monitoring distance to generate the second monitoring point until the second monitoring point covers the monitoring basic area;

[0140] According to the basic monitoring point, the first monitoring point and the second monitoring point, obtain the monitoring point information.

[0141] In this scheme, through structure information fusion, phased point distribution strategy and dynamic distance threshold setting, the precise layout and full-area coverage of the monitoring points are realized in the isolation performance intelligent analysis. The contact area of the isolation system and the equipment is taken as the monitoring basic area, the basic monitoring point is positioned by the projection of the seismic stress characteristic points, which ensures that the monitoring network covers the core parts of stress concentration. The contact area is the key path of force transmission (such as the contact surface between the sliding friction type isolation device and the equipment bottom plate), and the basic monitoring point can capture early failure signals such as interface slip and stress concentration in real time. The seismic stress characteristic points (such as the intersection point of the trend lines of transverse and longitudinal waves) are projected to the contact area, so that the monitoring points directly correspond to the most unfavorable stress working condition. Through the hierarchical application of the characteristic monitoring distance and the basic monitoring distance, a "core encryption-full-area coverage" monitoring network is constructed. The characteristic monitoring distance (such as the minimum identification distance of 50mm of the isolation device stress) is expanded outward from the basic monitoring point, which ensures the high-density sampling (such as arranging 1 point every 100mm) in the key area and accurately captures the local stress gradient change. After the distance between the high-density sampling point and the center point exceeds the limit, the basic monitoring distance (such as the minimum distance of 200mm of the equipment vibration response) is switched to fill the remaining area, which avoids the monitoring blind area and ensures the integrity of the overall displacement field. The monitoring points are upgraded from empirical arrangement to data-driven intelligent planning, especially in the complex equipment isolation scene. The precise positioning and full-area coverage of the key area provide a solid data support for structural safety, equipment protection and operation optimization.

[0142] According to the monitoring point information and the isolation energy consumption coefficient corresponding to each monitoring point, the isolation performance information is obtained based on the simulated earthquake test.

[0143] Specifically, according to the monitoring point information and the isolation energy consumption coefficient corresponding to each monitoring point, the isolation performance information is obtained based on the simulated earthquake test, specifically including:

[0144] Based on the protected device structure analysis, the seismic intensity sensitive interval is obtained, which represents the minimum seismic variation intensity that the protected device can identify;

[0145] The basic isolation level and the target isolation level are taken as the seismic simulation level range, and the seismic intensity sensitive interval is taken as the seismic level change value, and the isolation system is simulated for earthquake test to obtain simulated earthquake test data, the simulated earthquake test data including displacement monitoring data and acceleration monitoring data corresponding to each monitoring point;

[0146] The ratio of the isolation energy consumption coefficient corresponding to each monitoring point to the sum of the isolation energy consumption coefficients corresponding to all monitoring points is taken as the weight coefficient corresponding to the monitoring point;

[0147] According to the weight coefficient corresponding to each monitoring point, the displacement monitoring data and the acceleration monitoring data, the comprehensive displacement data and the comprehensive acceleration data are obtained based on weighted summation;

[0148] The comprehensive displacement data and the comprehensive acceleration data are taken as the isolation performance information.

[0149] In this scheme, through precise simulation test, dynamic weight allocation and multi-parameter fusion analysis, the data fine processing and performance index scientific quantification are realized in the isolation performance intelligent analysis, the seismic intensity sensitive interval of the protected device is taken as the benchmark to set the seismic level change value, and the simulation test can accurately capture the subtle changes of the device in response to the earthquake, and the test is carried out in steps of 0.1 degree for precision instruments (such as seismic intensity sensitive interval of 0.1 degree), compared with the traditional fixed step (such as 1 degree), the weak response of the device under small earthquake can be captured, and the performance evaluation blind area is avoided, the test range is determined combining the basic and target isolation levels, and the response of the device under normal working condition and extreme working condition is completely covered, ensuring the comprehensiveness of the isolation system performance test, providing reliable protection for the safety of the device, the weight coefficient of the monitoring point is calculated based on the isolation energy consumption coefficient, the differential processing of the data is realized, the comprehensive displacement and acceleration data are obtained through weighted summation, and the comprehensive isolation performance evaluation index is constructed.

[0150] The displacement and acceleration data can be further fused in this embodiment to avoid the one-sidedness of single parameter evaluation. For example, when analyzing the stability of the shock isolation system, the displacement reflects the overall deformation, and the acceleration reflects the dynamic response. The combination of the two can more accurately judge the system performance. For example, the weight of displacement is set to 0.6, and the weight of acceleration is set to 0.4. The weighted sum formula is used to further evaluate the performance of the shock isolation system, which improves the refinement and reliability of the shock isolation performance analysis, makes the simulation test closer to the actual needs of the equipment, the data processing is more targeted, the performance evaluation is more scientific and accurate, and effectively supports the design optimization and safe operation of the shock isolation system.

[0151] Referring to Figure 5 Further, in combination with the above-mentioned intelligent analysis method of shock isolation performance parameters based on a dynamic model, an intelligent analysis system of shock isolation performance parameters based on a dynamic model is provided, which comprises:

[0152] A main control module is configured to perform simulated earthquake testing on the shock isolation system based on the monitoring sensors according to the basic shock isolation level information and the target shock isolation level information, obtain basic earthquake testing data, take the basic shock isolation level and the target shock isolation level as the earthquake simulation level range, take the earthquake intensity sensitive interval as the earthquake level change value, perform simulated earthquake testing on the shock isolation system, obtain simulated earthquake testing data, construct a hysteresis curve with displacement as the horizontal coordinate and stress as the vertical coordinate according to the earthquake strain testing data, correspond the simulated earthquake vibration period information with the hysteresis curve, take the hysteresis curve in any simulated earthquake vibration period as a shock isolation energy consumption characteristic curve, obtain the hysteresis loop area according to the shock isolation energy consumption characteristic curve, and obtain the equivalent viscous damping ratio based on the equivalent viscous damping ratio calculation formula and the hysteresis loop area and the shock isolation potential energy.

[0153] An information acquisition module is configured to acquire shock isolation system information, which comprises shock isolation system structure information and protected equipment information, and acquire monitoring sensor information, which comprises monitoring sensor type information. The target shock isolation level information is obtained based on the shock isolation design target according to the shock isolation system structure information, and the basic shock isolation level information is obtained based on the protected equipment vibration sensitive analysis according to the protected equipment information.

[0154] An evaluation module is configured to obtain a seismic stress feature point according to the basic seismic test data, take the sum of distances between the first feature point, the second feature point and the seismic stress feature point and a stress offset value corresponding to the basic isolation level as the stress offset value corresponding to the target isolation level, take the sum of distances between the third feature point, the fourth feature point and the seismic stress feature point as the stress offset value corresponding to the target isolation level, take the average of the basic offset force and the target offset force as the strain feature force, obtain the seismic stress feature point according to the basic seismic test data, take the basic monitoring point as the center and a feature monitoring distance as a distance threshold, generate the first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance, and after the first monitoring point is generated, adjust the distance threshold to the basic monitoring distance to generate the second monitoring point until the second monitoring point covers the monitoring basic area.

[0155] A display module is configured to interact with the main control module and output and display the basic seismic test data, the monitoring point information, the isolation energy consumption coefficient corresponding to each monitoring point and the isolation performance information.

[0156] The main control module specifically comprises:

[0157] A control unit is configured to construct a hysteresis curve according to the seismic strain test data, take displacement as the horizontal coordinate and take stress as the vertical coordinate, correspond the simulated seismic vibration period information to the hysteresis curve, take the hysteresis curve in any one simulated seismic vibration period as an isolation energy consumption characteristic curve, obtain the hysteresis loop area according to the isolation energy consumption characteristic curve, and obtain the equivalent viscous damping ratio according to the hysteresis loop area and the isolation potential energy based on an equivalent viscous damping ratio calculation formula.

[0158] An information receiving unit is configured to interact with the information obtaining module and the evaluation module and receive data and transmit the data to the simulation test unit.

[0159] The simulation test unit is configured to perform simulated seismic test on the isolation system according to the basic isolation level information and the target isolation level information, take the monitoring sensor as the basis, obtain the basic seismic test data, take the basic isolation level and the target isolation level as the seismic simulation level range, take the seismic intensity sensitive interval as the seismic level change value, perform simulated seismic test on the isolation system, and obtain the simulated seismic test data.

[0160] The information obtaining module specifically comprises:

[0161] A first obtaining unit is configured to obtain isolation system information, the isolation system information including isolation system structure information and protected equipment information, and obtain monitoring sensor information, the monitoring sensor information including monitoring sensor type information.

[0162] The second acquisition unit is configured to acquire target isolation level information based on an isolation design target according to isolation system structure information, and acquire base isolation level information based on a protected device vibration sensitivity analysis according to protected device information.

[0163] The evaluation module specifically comprises:

[0164] The first evaluation unit is configured to acquire a seismic stress feature point according to the base seismic test data, take the sum of distances between the first feature point, the second feature point and the seismic stress feature point as a stress offset value corresponding to the base isolation level, take the sum of distances between the third feature point, the fourth feature point and the seismic stress feature point as a stress offset value corresponding to the target isolation level, and take the mean value of the base offset force and the target offset force as a strain feature force;

[0165] The second evaluation unit is configured to acquire a seismic stress feature point according to the base seismic test data, generate first monitoring points with a feature monitoring distance as a distance threshold and taking the base monitoring point as a center, until the distance between the first monitoring point and the base monitoring point exceeds the base monitoring distance, and after the first monitoring points are generated, adjust the distance threshold to the base monitoring distance to generate second monitoring points until the second monitoring points cover the monitoring base area.

[0166] In summary, the advantages of the present application are that: through the base isolation level information and the target isolation level information, the monitoring sensor is taken as a basis to perform a simulated seismic test on the isolation system, a seismic stress feature point is acquired according to the base seismic test data, the stress condition of the isolation system is accurately analyzed through the seismic stress feature point, monitoring point information and a corresponding isolation energy consumption coefficient of each monitoring point are acquired through the base seismic test data, the difference between different data is determined through the isolation energy consumption coefficient, the base isolation level and the target isolation level are taken as a seismic simulation level range, and the seismic intensity sensitive interval is taken as a seismic level change value, so that the simulated seismic test is performed on the isolation system, the accurate test on the isolation performance is realized, the weight coefficient corresponding to each monitoring point is taken as the ratio of the corresponding isolation energy consumption coefficient of the monitoring point to the sum of the corresponding isolation energy consumption coefficients of all monitoring points, the data is comprehensively processed through the weight coefficient, and the stability and reliability of the isolation performance analysis are ensured.

[0167] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection claimed by the present application is defined by the appended claims and their equivalents.

Claims

1. A dynamic model-based intelligent analysis method for isolation performance parameters, characterized in that, The method comprises the following steps: obtaining isolation system information, which comprises isolation system structure information and protected equipment information; obtaining target isolation level information based on an isolation design target according to the isolation system structure information, wherein the target isolation level information represents the maximum earthquake level that the isolation system design achieves isolation; obtaining basic isolation level information based on protected equipment vibration sensitivity analysis according to the protected equipment information, wherein the basic isolation level information represents the maximum earthquake level that the protected equipment can withstand without isolation protection to ensure normal operation; obtaining monitoring sensor information, which comprises monitoring sensor type information, wherein the monitoring sensor types comprise an accelerometer, a displacement sensor, a strain gauge, and a pressure sensor; performing a simulated earthquake test on the isolation system based on the monitoring sensor according to the basic isolation level information and the target isolation level information to obtain basic earthquake test data; obtaining monitoring point information and an isolation energy consumption coefficient corresponding to each monitoring point according to the basic earthquake test data; obtaining isolation performance information based on the simulated earthquake test according to the monitoring point information and the isolation energy consumption coefficient corresponding to each monitoring point; The method further comprises the following steps: obtaining corresponding basic earthquake test data according to the basic isolation level information and the target isolation level information; obtaining an earthquake stress characteristic point according to the basic earthquake test data; obtaining a strain characteristic force based on the equivalent force corresponding to the basic isolation level information and the target isolation level information with the earthquake stress characteristic point as a reference; obtaining monitoring point information according to the isolation system information; performing a simulated earthquake test on the isolation system with the strain characteristic force as a reference to obtain earthquake strain test data corresponding to each monitoring point, wherein the earthquake strain test data comprises stress sensor data and displacement sensor data; constructing a hysteresis curve with displacement as the abscissa and stress as the ordinate according to the earthquake strain test data; obtaining corresponding simulated earthquake vibration period information based on the earthquake strain test data; corresponding the simulated earthquake vibration period information to the hysteresis curve, and taking the hysteresis curve in any one simulated earthquake vibration period as an isolation energy consumption characteristic curve; obtaining a hysteresis loop area according to the isolation energy consumption characteristic curve, wherein the isolation energy consumption characteristic curve represents a closed curve formed by stress and strain under the action of the strain characteristic force, and the hysteresis loop area directly represents the energy consumed by the isolation system in one vibration period; obtaining maximum displacement information of the isolation system according to the isolation energy consumption characteristic curve; taking the product of half of the strain characteristic force and the maximum displacement of the isolation system as the isolation potential energy; obtaining an equivalent viscous damping ratio based on an equivalent viscous damping ratio calculation formula according to the hysteresis loop area and the isolation potential energy; taking the equivalent viscous damping ratio corresponding to each monitoring point as the isolation energy consumption coefficient corresponding to the monitoring point; The method further comprises the following steps: obtaining isolation performance information based on the simulated earthquake test according to the monitoring point information and the isolation energy consumption coefficient corresponding to each monitoring point. Based on the structural analysis of the protected equipment, the seismic intensity sensitive interval is obtained, which represents the minimum seismic intensity change that the protected equipment can identify. Using the basic isolation level and the target isolation level as the range of the earthquake simulation level, and the earthquake intensity sensitive interval as the earthquake level change value, the isolation system is subjected to simulated earthquake test to obtain simulated earthquake test data. The simulated earthquake test data includes displacement monitoring data and acceleration monitoring data corresponding to each monitoring point. The ratio of the seismic isolation energy consumption coefficient corresponding to each monitoring point to the sum of the seismic isolation energy consumption coefficients corresponding to all monitoring points is used as the weighting coefficient corresponding to that monitoring point. Based on the weighting coefficients, displacement monitoring data, and acceleration monitoring data corresponding to each monitoring point, comprehensive displacement data and comprehensive acceleration data are obtained by weighted summation. Integrated displacement data and integrated acceleration data are used as seismic isolation performance information.

2. The intelligent analysis method of isolation performance parameters based on dynamic model according to claim 1, characterized in that, The step of obtaining seismic stress characteristic points based on basic seismic test data specifically includes: Based on the base isolation level information, obtain the shear wave intensity information and longitudinal wave intensity information of the base isolation level; Based on the shear wave intensity information and P-wave intensity information of the base isolation level, a simulated seismic test of the base isolation system was conducted. Based on the target seismic isolation level information, obtain the shear wave intensity information and longitudinal wave intensity information of the target seismic isolation level; Based on the shear wave intensity information and P-wave intensity information of the target seismic isolation level, a foundation simulation seismic test was conducted on the seismic isolation system to obtain foundation seismic test data. Based on the basic seismic test data, obtain the maximum displacement points of the shear wave and the maximum displacement points of the longitudinal wave in the seismic isolation system; The maximum displacement point of the shear wave of the seismic isolation system under the shear wave of the base isolation level is taken as the first characteristic point, and the maximum displacement point of the longitudinal wave of the seismic isolation system under the longitudinal wave of the base isolation level is taken as the second characteristic point. Based on the basic seismic test data, the maximum displacement points of the shear wave and the maximum displacement points of the longitudinal wave of the seismic isolation system are obtained. The maximum displacement point of the shear wave of the seismic isolation system under the target seismic isolation level is taken as the third characteristic point, and the maximum displacement point of the longitudinal wave of the seismic isolation system under the target seismic isolation level is taken as the fourth characteristic point. The line connecting the first and third feature points is taken as the transverse wave stress trend line, and the line connecting the second and fourth feature points is taken as the longitudinal wave stress trend line. The intersection of the shear wave stress trend line and the longitudinal wave stress trend line is taken as the seismic stress characteristic point. 3.The intelligent analysis method of isolation performance parameters based on dynamic model according to claim 2, characterized in that, The method of obtaining strain characteristic forces based on seismic stress characteristic points and the equivalent forces corresponding to base isolation level information and target isolation level information specifically includes: The sum of the distances between the first feature point, the second feature point and the seismic stress feature point is used as the stress offset value corresponding to the base isolation level; The sum of the distances between the third and fourth feature points and the seismic stress feature points is used as the stress offset value corresponding to the target seismic isolation level; Based on the basic seismic isolation level information and the target seismic isolation level information, and based on the equivalent force, the maximum force information of the basic seismic isolation level and the maximum force information of the target seismic isolation level are obtained. The sum of the stress offset values ​​corresponding to the target seismic isolation level and the base seismic isolation level is used as the stress offset characteristic value; The product of the ratio of the stress offset value corresponding to the basic isolation level to the stress offset characteristic value and the maximum action force of the foundation is taken as the basic offset action force; The product of the ratio of the stress offset value corresponding to the target isolation level to the stress offset characteristic value and the maximum action force of the target is taken as the target offset action force; The average of the basic offset action force and the target offset action force is taken as the strain characteristic action force.

4. The intelligent analysis method of isolation performance parameters based on dynamic model according to claim 3, characterized in that, The monitoring point information is obtained according to the isolation system information, and specifically includes: According to the isolation system information, the isolation system structure information and the protected equipment information are obtained; The contact area of the isolation system and the protected equipment is taken as the monitoring basic area; According to the seismic stress characteristic point, the projection of the seismic stress characteristic point in the monitoring basic area is taken as the basic monitoring point; Based on the protected equipment vibration response distance analysis, the basic monitoring distance information is obtained, and the basic monitoring distance represents the minimum distance of the protected equipment vibration response; The minimum identification distance of the isolation system stress point is taken as the characteristic monitoring distance; Taking the basic monitoring point as the center and the characteristic monitoring distance as the distance threshold, the first monitoring point is generated until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance; After the first monitoring point is generated, the distance threshold is adjusted to the basic monitoring distance to generate the second monitoring point until the second monitoring point covers the monitoring basic area; The monitoring point information is obtained according to the basic monitoring point, the first monitoring point and the second monitoring point.

5. A dynamic model-based intelligent analysis system for isolation performance parameters, for implementing the analysis method according to any one of claims 1 to 4, characterized in that, It includes: The main control module is used for carrying out simulated earthquake test on the isolation system according to the basic isolation level information and the target isolation level information, taking the monitoring sensor as the basis, obtaining the basic earthquake test data, taking the basic isolation level and the target isolation level as the earthquake simulation level range, taking the earthquake intensity sensitive interval as the earthquake level change value, obtaining the simulated earthquake test data, constructing the hysteresis curve according to the seismic strain test data, taking displacement as the abscissa and stress as the ordinate, corresponding the simulated earthquake vibration period information with the hysteresis curve, taking the hysteresis curve in any one simulated earthquake vibration period as the isolation energy consumption characteristic curve, obtaining the hysteresis loop area according to the isolation energy consumption characteristic curve, and obtaining the equivalent viscous damping ratio based on the equivalent viscous damping ratio calculation formula according to the hysteresis loop area and the isolation potential energy; The information acquisition module is used for acquiring the isolation system information, the isolation system information including the isolation system structure information and the protected equipment information, acquiring the monitoring sensor information, the monitoring sensor information including the monitoring sensor type information, acquiring the target isolation level information based on the isolation design target according to the isolation system structure information, and acquiring the basic isolation level information based on the protected equipment vibration sensitive analysis according to the protected equipment information; The evaluation module is used for obtaining a seismic stress feature point according to the basic seismic test data, taking the sum of distances from the first feature point and the second feature point to the seismic stress feature point as a stress offset value corresponding to the basic seismic isolation level, taking the sum of distances from the third feature point and the fourth feature point to the seismic stress feature point as a stress offset value corresponding to the target seismic isolation level, taking the average of the basic offset force and the target offset force as a strain feature force, obtaining the seismic stress feature point according to the basic seismic test data, taking the basic monitoring point as the center and a feature monitoring distance as a distance threshold, generating the first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance, and after the first monitoring point is generated, adjusting the distance threshold to the basic monitoring distance to generate the second monitoring point until the second monitoring point covers the monitoring basic area. The display module interacts with the main control module and is used for outputting and displaying the basic seismic test data, the monitoring point information, the seismic isolation energy consumption coefficient corresponding to each monitoring point and the seismic isolation performance information.

6. The intelligent analysis system for performance parameters of shock insulation based on dynamic model according to claim 5, characterized in that, The main control module specifically comprises: The control unit is used for constructing a hysteresis curve taking displacement as the horizontal coordinate and stress as the vertical coordinate according to the seismic strain test data, corresponding the simulated seismic vibration period information to the hysteresis curve, taking the hysteresis curve in any one simulated seismic vibration period as a seismic isolation energy consumption characteristic curve, obtaining a hysteresis loop area according to the seismic isolation energy consumption characteristic curve, and obtaining an equivalent viscous damping ratio according to the hysteresis loop area and the seismic isolation potential energy based on an equivalent viscous damping ratio calculation formula; The information receiving unit interacts with the information acquisition module and the evaluation module and is used for receiving data and transmitting the data to the simulation test unit; The simulation test unit is used for performing simulated seismic test on the seismic isolation system according to the basic seismic isolation level information and the target seismic isolation level information, taking the monitoring sensor as the basis, obtaining the basic seismic test data, taking the basic seismic isolation level and the target seismic isolation level as a seismic simulation level range, taking a seismic intensity sensitive interval as a seismic level change value, performing simulated seismic test on the seismic isolation system, and obtaining simulated seismic test data.

7. The intelligent analysis system for performance parameters of shock insulation based on dynamic model according to claim 5, characterized in that, The information acquisition module specifically comprises: The first acquisition unit is used for acquiring seismic isolation system information including seismic isolation system structure information and protected equipment information, and acquiring monitoring sensor information including monitoring sensor type information; The second acquisition unit is used for acquiring target seismic isolation level information based on a seismic isolation design target according to the seismic isolation system structure information, and acquiring basic seismic isolation level information based on protected equipment vibration sensitivity analysis according to the protected equipment information. 8.The intelligent analysis system of isolation performance parameters based on dynamic model according to claim 5, wherein, The evaluation module specifically comprises: The first evaluation unit is used for obtaining a seismic stress feature point according to the basic seismic test data, taking the sum of distances from the first feature point, the second feature point and the seismic stress feature point as a stress offset value corresponding to the basic isolation level, taking the sum of distances from the third feature point, the fourth feature point and the seismic stress feature point as a stress offset value corresponding to the target isolation level, and taking the average of the basic offset force and the target offset force as a strain characteristic force; The second evaluation unit is used for obtaining a seismic stress feature point according to the basic seismic test data, taking the basic monitoring point as a center, taking a characteristic monitoring distance as a distance threshold value, generating a first monitoring point until the distance between the first monitoring point and the basic monitoring point exceeds the basic monitoring distance, adjusting the distance threshold value to the basic monitoring distance after the first monitoring point is generated, generating a second monitoring point, and covering the monitoring basic area until the second monitoring point.

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