CN114358045A - Seismic test reaction spectrum identification method, electromechanical equipment seismic capacity analysis method and equipment - Google Patents

Abstract

The invention relates to a reaction spectrum identification method for a seismic test, and a method and equipment for analyzing the seismic capacity of electromechanical equipment of a nuclear power plant. The method aims to solve the problems that the prior art can not be set by self-definition, still a large amount of manual spectra reading is carried out, the precision of the spectra reading is poor and the method can not be directly applied to the calculation of the subsequent vulnerability; the method comprises the steps of identifying the characteristics of a reaction spectrum curve of the anti-seismic test, separating the reaction spectrum curve from a background grid, associating an identified reaction spectrum image with a self-adaptive coordinate axis network, automatically identifying a plurality of peak acceleration values and corresponding frequencies which meet conditions in an original reaction spectrum, automatically identifying key frequencies and acceleration values, and providing data input for subsequent reaction spectrum peak clipping processing. The method can effectively improve the processing efficiency and accuracy of the original reaction spectrum in the vulnerability analysis work of the electromechanical equipment, and can be widely applied to vulnerability analysis of electromechanical equipment related to the seismic PSA of the nuclear power plant.

Description

Seismic test reaction spectrum identification method, electromechanical equipment seismic capacity analysis method and equipment

Technical Field

The invention belongs to a technology for analyzing the shock resistance of electromechanical equipment, and particularly relates to a shock resistance test reaction spectrum identification method, a shock resistance analysis method of electromechanical equipment and equipment.

Background

The analysis of the shock resistance of the electromechanical equipment is a process of evaluating the shock resistance vulnerability of the electromechanical equipment in the nuclear power plant, is a key part for evaluating weak links of shock resistance design, and is an important component of the whole plant probability safety analysis. Due to the characteristics of the electromechanical equipment, the anti-seismic performance of the electromechanical equipment is verified through anti-seismic tests. When the shock resistance of the electromechanical equipment is analyzed, the shock resistance acceleration value of each frequency point in the shock resistance test process is read by combining a test spectrum (TRS) adopted during the shock resistance test of the equipment, the shock resistance acceleration value is compared with the corresponding acceleration value in a shock Resistance Requirement Spectrum (RRS), the key frequency point and the shock resistance value of the equipment can be finally determined by identifying the key frequency and carrying out multiple operations and iterations, and the evaluation of the shock resistance of the equipment is completed.

The equipment anti-seismic test spectrum is recorded in a paper or electronic file in a picture mode. When such calculation is performed, a large amount of manual spectrum reading is usually required, and acceleration values of different frequency points are manually recorded and used for subsequent calculation. In the iterative process, because the frequency points concerned may change, the frequency bands concerned are often required to be repeatedly read for the important frequency bands. The spectrum reading workload is large, the reading precision is poor, the manual recording result is not beneficial to storage and multiplexing, and the automatic calculation is not beneficial to being realized by means of software. The traditional graph recognition software is mostly based on a conventional graph, the identification rate of the earthquake resistance test spectrum which usually adopts logarithmic coordinates and has more interference information is not high, the read numerical value cannot correspond to the frequency point of the earthquake resistance requirement spectrum, the TRS and the RRS cannot be compared, and the subsequent vulnerability can not be directly calculated.

In traditional software identification, an image identification function cannot be added aiming at a specific frequency; secondly, by adopting the existing mathematical graph analysis software, in the process of extracting curve characteristics and separating background grids and curves, the curves and a coordinate axis network are required to be clearly distinguished, the density of the spectrum axis network of the earthquake test is high, the spectrum axis network is highly superposed with a reaction spectrum curve, the color of the axis network is the same as that of the curves, a plurality of interference items are generated, and a good identification effect is difficult to realize. And as the types of the nuclear power plant anti-seismic equipment are various, the time for carrying out anti-seismic tests and the actual test rooms for carrying out anti-seismic tests are different, reaction spectrums provided by the test rooms in different time, different countries and different regions are different, the format difference of the test reaction spectrums is larger, and the problem cannot be solved by the conventional map recognizing software.

In addition, in the process of recognizing the map, the existing mathematical graph analysis software can only generate a coordinate system according to the type of a coordinate axis, and in the process of recognizing the map, the image can only be recognized according to the set map recognition density, the image recognition point positions cannot be adaptively modified or adjusted according to the actual calculation requirement, the reading requirement on specific frequency points in the process of calculating the vulnerability of the electromechanical equipment of the nuclear power plant cannot be met, and the acceleration value of the concerned frequency point can only be obtained in the modes of initial map reading and multi-frequency point interpolation calculation.

Moreover, the prior art cannot provide a full-flow solution, and cannot realize the identification, storage, seismic analysis and result reuse of the test reaction spectrum; because the same equipment may be used in different nuclear power plants or different rooms of the same nuclear power plant, the requirement for reusing the test spectrum reading result is high, and the prior art means cannot provide a reusing function, so that the work can be repeatedly carried out when a plurality of nuclear power plants or plants analyze the equipment of the same model.

Disclosure of Invention

The invention aims to provide an automatic identification and storage method for a reaction spectrum of a seismic test and an analysis method and equipment for the seismic capacity of the electromechanical equipment of a nuclear power plant, aiming at solving the problems in the process of analyzing the seismic capacity of the electromechanical equipment at present.

The technical scheme of the invention is as follows: a seismic test reaction spectrum identification method comprises the following steps:

firstly, identifying the characteristics of a reaction spectrum curve of an anti-seismic test aiming at a reaction spectrum image to be identified, and separating the reaction spectrum curve from a background grid through the obtained curve characteristics;

generating a self-adaptive coordinate axis network aiming at the key frequency point, associating the identified reaction spectrum image with the coordinate axis network, and realizing automatic reading of key readings;

and step three, storing the automatically read data.

Further, according to the earthquake resistance test reaction spectrum identification method, the identification of the characteristics of the earthquake resistance test reaction spectrum curve in the first step comprises identification of a reaction spectrum curve, a coordinate system and an interference curve.

Furthermore, in the first step, aiming at the reaction spectrum image to be identified, the characteristics of the reaction spectrum curve of the anti-seismic test are identified in a color drawing mode, the lines with the different colors are identified as the reaction spectrum curve, and the original color lines are identified as the axis of the axis network; and distinguishing a reaction spectrum curve from an axis of the axis network to realize the separation of the reaction spectrum curve from the background grid.

Further, according to the earthquake resistance test response spectrum identification method, in the second step, the coordinate graduation of the coordinate axis network is set according to the wave crest on the earthquake resistance requirement spectrum or the wave trough on the test acceleration spectrum, and the key frequency point is determined; or setting key frequency points according to the characteristics of the equipment.

Further, according to the earthquake resistance test reaction spectrum identification method, the key frequency point in the step two is determined based on the key frequency point in the earthquake resistance test required spectrum.

Further, according to the earthquake resistance test response spectrum identification method, in the second step, the axes corresponding to the division values are drawn into a coordinate axis network according to the key coordinate division input by the user in a customized manner, so that encrypted coordinates are formed.

Further, according to the earthquake resistance test reaction spectrum identification method, in the second step, continuous lines are drawn in a coordinate system according to reaction spectrum images, and each reaction spectrum curve corresponds to a complete continuous section line; the coordinate values of the points on the continuous segment line are extracted in order.

Further, in the earthquake resistance test response spectrum identification method, in the third step, the read earthquake resistance test response spectrum data are respectively stored according to the mode of equipment type, manufacturer and model, and corresponding indexes are established.

The method for analyzing the shock resistance of the electromechanical equipment in the nuclear power plant obtains shock resistance test reaction spectrum data by using the shock resistance test reaction spectrum identification method, evaluates the shock resistance vulnerability of the electromechanical equipment by combining the shock resistance test requirement spectrum data, and determines the shock resistance of the electromechanical equipment according to the vulnerability evaluation result.

Further, according to the method for analyzing the seismic capacity of the electromechanical equipment in the nuclear power plant, the method for evaluating the seismic vulnerability of the electromechanical equipment includes the steps of reading the seismic acceleration value of each frequency point in the seismic test process by combining the identified equipment seismic test response spectrum, comparing the seismic acceleration value with the corresponding acceleration value in the seismic test requirement spectrum, and determining the key frequency point and the seismic capacity value of the equipment by identifying the key frequency, performing operation and iteration to finish evaluation on the seismic capacity of the equipment.

An earthquake resistance test reaction spectrum identification device, comprising:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

and the data storage module is used for storing the automatically read data.

A nuclear power plant electromechanical device seismic capacity analysis apparatus, comprising:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

the data storage module is used for storing the automatically read data;

and the electromechanical equipment anti-seismic vulnerability assessment module is used for combining the anti-seismic test reaction spectrum data with the anti-seismic test requirement spectrum data, assessing the anti-seismic vulnerability of the electromechanical equipment, and determining the anti-seismic capacity of the electromechanical equipment according to the vulnerability assessment result.

The invention has the following beneficial effects:

1. the traditional equipment anti-seismic test response spectrum stored in the form of pictures in the manual image recognition becomes a key link for limiting digital and automatic design.

2. In the process of excavating the maximum allowance between the earthquake resistance test spectrum and the earthquake resistance requirement spectrum, iteration is needed for multiple times, the method is realized by means of repeated reading, and the efficiency is low; the method improves the manual reading of the equipment test reaction spectrum and the identification mode of the software-assisted curve, has accurate identification and strong universality, and can be used as basic data for subsequent analysis after one-time identification, thereby integrally improving the efficiency of the shock resistance analysis of the electromechanical equipment.

3. The method solves the problems that in the process of extracting curve features and separating background grids and curves according to the existing mathematical graph analysis software in the existing artificial view, the curves and a coordinate axis network are required to be clearly distinguished, the density of an anti-seismic test spectrum axis network is high, the anti-seismic test spectrum axis network is highly superposed with a reaction spectrum curve, the color of the axis network is the same as that of the curves, interference items are multiple, and a good identification effect is difficult to realize; the invention can simultaneously process various types of nuclear power plant anti-seismic equipment, and solves the problem that the differences of the maps cannot be unified for reaction spectrum unified formats provided by laboratories of different countries and regions at different time.

4. According to the method, a complete coordinate system can be generated according to the type of the coordinate axis, in the image recognizing process, the image can be recognized according to the set image recognizing density, the image recognition point positions are adaptively modified or adjusted, the reading requirement on the specific frequency points in the calculating process of the vulnerability of the electromechanical equipment of the nuclear power plant is met, and the acceleration numerical value of the concerned frequency point is obtained.

5. The invention can directly formulate the required spectrum through the coordinate graduation defined by the user or the specific frequency point, thereby carrying out the subsequent reaction spectrum automatic identification process and solving the complex process that the acceleration of the concerned key frequency point cannot be directly read in the traditional image identification process and secondary calculation is needed.

Drawings

FIG. 1 is a flow chart of a seismic test reaction spectrum identification method;

FIG. 2 is a flow chart of coordinate drawing in the identification of the reaction spectrum of the device test;

FIG. 3 is a seismic test spectrogram to be identified;

FIG. 4 is a diagram illustrating the coordinate system identification result;

FIG. 5 is an exemplary reaction spectrum diagram of a seismic test;

FIG. 6 is a diagram illustrating an example spectrum of the requirement of the anti-seismic test;

fig. 7 is a schematic view of a test spectrum identification result storage manner (image storage).

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The abscissa of the nuclear power plant electromechanical device seismic test spectrum is frequency, and the ordinate is seismic acceleration value (for example, fig. 3). According to the calculation requirement of the shock resistance vulnerability of the electromechanical equipment, all peak values in the test reaction spectrum are accurately identified in the calculation process. For example, the curve can be traversed from low to high according to the abscissa, all the ordinate peaks are identified and marked, and the corresponding acceleration values sa-peak and frequency values fc are recorded. And aiming at the frequency point capable of clipping the peak, reaction spectrum clipping calculation is required to be carried out, in the process of clipping the peak, the difference (delta f) of the frequency coordinates (horizontal coordinates) of 2 point positions corresponding to 0.8 times of peak acceleration (0.8sa-peak) is required to be identified, the ratio of delta f/fc is further calculated on the basis, and the clipping factor Cc is calculated according to the result of the ratio. The reading error of the frequency value of the key frequency point and the acceleration value directly influences the correctness of the calculation result of the vulnerability.

Based on the calculation process, it is determined that repeated image reading and multiple recognition are often required in the vulnerability calculation process. As described above, the vulnerability calculation result of the nuclear power plant electromechanical device is highly correlated with the acceleration value at the key frequency point, and therefore the acceleration reading work at the key frequency point is very important.

As shown in fig. 1, the key factors in the reaction spectrum identification task include three key technical elements, namely reaction spectrum curve feature extraction and background grid separation, adaptive coordinate axis network generation and key frequency point automatic reading, and structured storage.

1. Reaction spectrum curve feature extraction and background grid separation

As shown in fig. 5, the graph paper to be identified includes not only the coordinate system, but also the reaction spectrum curve of the anti-seismic test, and also an interference curve unrelated to the identification task. In the identification process, an equipment response spectrum identification task is established, aiming at the characteristics of high density of an axis network, high superposition of response spectrum curves, same color of the axis network and curve and more interference items of the anti-seismic test response spectrum, curve characteristics are formed by a red tracing method through a designed man-machine interface mode or a manual mode, red lines in a picture are identified as anti-seismic test response spectrum curves, black lines are identified as axes, interference caused by superposition of the curves and the axis network is reduced, identification of the curve characteristics and separation of the curves and a background grid are realized, and digital storage of the curve characteristics is further completed. The process of tracing red can be tracing red by means of mouse drawing and mouse point selection, or tracing red by means of an electronic pen (such as a computer stylus pen, etc.), or printing the picture, manually tracing red, scanning and then importing the picture. Of course, it should also be clear to those skilled in the art that the reaction spectrum curve can be depicted in other colors with outstanding and high contrast.

2. Generation of self-adaptive coordinate axis network and automatic reading of key frequency points

The method comprises the steps of determining key frequency in calculation of vulnerability of electromechanical equipment of the nuclear power plant, associating the key frequency with generation of a coordinate system axis network, automatically generating a specific coordinate axis network required by calculation of the vulnerability of the electromechanical equipment according to calculation requirements, presetting the axis network as a coordinate system preset by a program, drawing a curve by overlapping a reaction spectrum image and a standard coordinate template after inserting the reaction spectrum image of the equipment, and realizing extraction of a reaction spectrum. The method comprises the steps of automatically identifying an anti-seismic test curve under a concerned coordinate axis network by associating a preset coordinate system with an image to be identified, and realizing direct reading of key frequency points. The method comprises the following specific steps:

2.1 automatic drawing of standardized coordinate systems (flow scheme as shown in FIG. 2)

1) Based on the coordinates (0, 0) as a reference origin;

2) determining X-axis interval (X)₀-X_max) The X axis is frequency, and the maximum value of the Xmax frequency;

3) generating a set of X-axis values (X) according to the reaction spectrum coordinate system rule₀、X₁、X₂、X₃……X_max)；

4) Determining Y-axis interval (Y)₀-Y_max) The Y axis is the acceleration, and the maximum value of the Ymax frequency acceleration;

5) generating a set of Y-axis values (Y) according to the reaction spectrum coordinate system rule₀、Y₁、Y₂、Y₃……Y_max)；

6) Taking value Y according to Y axis_nDrawing horizontal line segments by line, the rule being the starting point (X)₀,Y_n) To the end point (X)_max,Y_n)；

7) Taking the value X according to the X axis_nDrawing vertical line segments in columns, the rule being the starting point (X)_n,Y₀) To the end point (X)_n,Y_max)；

8) And drawing scales according to the values of the X axis and the Y axis, wherein the positions are close to the starting points of the line segments.

Based on the key frequency points, the coordinate system is refined, and at present, two ways are mainly adopted (as shown in fig. 4):

the system firstly extracts key coordinate graduation according to a seismic test response spectrum (shown in figure 5) or extracts key coordinate graduation according to a seismic test requirement spectrum (shown in figure 6), automatically generates a coordinate system based on the key graduation, and further customizes the key coordinate graduation input by a user, for example, taking a horizontal coordinate as an example, the user can customize f1, f2 … …, fn and the like as new coordinate graduation or key frequency points, and the graduation value is automatically drawn into the coordinate system generated by recognition in a longitudinal axis mode to form an encrypted coordinate. When the reaction spectrum curve is read in the next step, all curve points corresponding to the horizontal and vertical coordinates in the encrypted coordinate system are automatically included in the image identification process in the system image identification process. And on the basis of the coordinate system, identifying the acceleration of the position of the key frequency point input by the user. The user can set coordinate graduation or key coordinate frequency points according to the requirement, such as setting the peaks on the spectrum according to the earthquake-resistant requirement, or setting the coordinate graduation or key frequency points according to the troughs on the experimental acceleration spectrum, or setting the key frequency points according to the self characteristics of the equipment, and the like.

2.2 plotting the reaction Spectrum

And drawing continuous lines in the range of the coordinate system according to the reaction spectrum image, wherein each reaction spectrum curve corresponds to a complete continuous segment line.

2.3 extracting Curve data

Extracting coordinate values (X) of points on a continuous line in order_n,Y_n) As a reference value. And the frequency of the plant floor response spectrum is used as a basis to find points in the curve so as to be directly used in analysis.

3. Structured storage

According to the characteristics of the vulnerability analysis of the electromechanical equipment of the nuclear power plant and the specific functional requirements, the read anti-seismic test spectrum is stored according to the modes of equipment type, manufacturer and model, corresponding indexes are established, and the repeated calling of data can be rapidly realized in the subsequent analysis.

The identified data can be presented in the form of numerical values and images, and the correlation between the numerical values and the images is realized. The storage of the numerical value (as shown in the following table) can be used for data calling in the vulnerability calculation process, on one hand, the image mode (as shown in fig. 7) provides graph recognition result display for a user, can facilitate the user to compare and confirm the graph recognition result, and on the other hand, provides an operation interface for the reaction spectrum peak clipping work of vulnerability calculation software. And the interactive storage and calling of the image and the numerical value ensure the peak clipping work of the vulnerability calculation.

Reaction spectrum curve characteristic extraction rule example table

The identified data is stored in a storage mode in a mode of equipment type, manufacturer and model, the identified result corresponds to the specific model, and compared with the traditional storage mode which takes the engineering project as an index, the scheme ensures that the mutual calling among the data can be conveniently realized among different engineering projects. In the process of analyzing the shock resistance of the electromechanical equipment, the situation that different projects use instruments of the same type is not required to be respectively recognized by each project, so that the workload is greatly reduced, and the calculation problem caused by human error is reduced.

Compared with the traditional manual map recognition mode or the mode of recognizing according to the frequency range and the interval step length and connecting lines or performing secondary interpolation on the basis, the acceleration recognized by the two modes can more accurately describe the earthquake test acceleration value of the key frequency point, and the calculation result is more accurate; the method comprises the steps of setting a specific key frequency point in advance as the premise of image identification, superposing an original picture on a grid by superposing a built-in reaction spectrum grid, enabling two curves to be superposed as much as possible, drawing the curves on the basis of the axis of a reaction spectrum by taking the reaction spectrum of the picture as a base map, and finally taking a standardized grid and the drawn curves as identification objects to realize equipment test reaction spectrum curve identification and digital storage. By means of the technology, the reading accuracy is refined to the frequency point of the concerned reaction spectrum.

The invention improves the manual reading of the equipment test response spectrum and the software-assisted curve identification mode, and has accurate identification and strong universality. The method can meet the identification requirements of the anti-seismic test reaction spectrum provided by various types of equipment and anti-seismic laboratories, and the identified reaction spectrum data can be directly used for anti-seismic analysis through the centralized database storage of the identification curve. The formed structural storage realizes the reutilization of the calculation data of the vulnerability of the electromechanical equipment of the nuclear power plant, solves the problem of repeated reading in the previous calculation process, greatly reduces the workload, increases the functions and improves the performance, reduces the cost in the process of applying the equipment of the nuclear power plant, can complete the accurate identification process based on a computer program, is convenient to use and greatly improves the safety.

The special reaction spectrum curve feature extraction and background grid separation technology solves the problems that the density of a shaft network in a nuclear power plant electromechanical device anti-seismic test spectrogram is high, the shaft network is highly overlapped with a reaction spectrum curve, the color of the shaft network is the same as that of the curve, interference terms are multiple and the like, improves the identification capability of the reaction spectrum curve feature, and is higher in universality.

The identification sampling of the equipment test reaction spectrum can be realized by self-adapting and self-setting a coordinate axis network, presetting basic frequency points, and automatically reading and storing the acceleration of the anti-seismic test spectrum according to the requirements of the specific axis network and the specific frequency points. The accuracy of reaction spectrum identification is improved, secondary calculation is not needed after the graph identification, and the workload is reduced.

After one-time identification, the stored reaction spectrum data can be used as basic data for subsequent analysis. By respectively storing the data according to the types of the equipment, the manufacturers and the models and establishing corresponding indexes, the data can be quickly called and reused, and the efficiency of the shock resistance analysis of the electromechanical equipment is greatly improved on the whole.

By integrating the original independent links in the earthquake-resistant analysis, a complete process solution integrating the reaction spectrum identification, storage and earthquake-resistant analysis methods is formed, the earthquake-resistant analysis efficiency is improved, a set of data is applied to the analysis result, and the consistency of data analysis is ensured.

In the identification process, the curve direction is tried to be adjusted, curve characteristics are extracted and background grids and curves are separated by utilizing various modes such as color and interference item reduction, and the axle net density in the experimental reaction spectrum is high, the axle net density is highly overlapped with the reaction spectrum curve, the axle net color is the same as the curve color, and the curves with more interference items are difficult to realize better identification effect. The sampling frequency points for identifying the reaction spectrum curve are selected and collected according to the axis, the actual difference between the sampling frequency points and an original graph is large in the digital fitting process, starting from an analysis scheme, and the final value of a TRS/RRS in a certain frequency interval is used in a test method, so that the sampling frequency points and the floor reaction spectrum are used as reference, the frequencies in all the floor reaction spectrums are taken and collected, and the curve is identified and stored by taking the frequencies as reference. In addition, when data are reused among nuclear power plants, damping ratio natural logarithmic interpolation and frequency dual logarithmic interpolation are adopted, and complete reaction spectrum analysis data are automatically established.

After one-time identification, the stored reaction spectrum data can be used as basic data for subsequent analysis. By respectively storing the data according to the types of the equipment, the manufacturers and the models and establishing corresponding indexes, the data can be quickly called and reused, and the efficiency of the shock resistance analysis of the electromechanical equipment is greatly improved on the whole.

Related explanation on seismic vulnerability calculation:

the seismic vulnerability of a device is the probability of a conditional failure of the device at an acceleration value corresponding to a seismic motion, such as a peak ground acceleration value (PGA) or a spectral acceleration value at a different frequency. The objective is to estimate the ability of the device to withstand seismic dynamic acceleration parameters such as PGA or other spectral accelerations. The ability of a device to withstand seismic accelerations is a random variable and can be described purely by a probability distribution. Uncertainty exists in the estimation of the parameters and accurate shapes of the probability distribution, and uncertainty also exists in the failure simulation of the equipment. The vulnerability evaluation method takes a lognormal probability density function as a basis for modeling.

The reaction spectrum is a curve of maximum displacement reaction, velocity reaction and acceleration reaction of a simple substance point system along with the change of a particle natural vibration period in a given earthquake acceleration action period. Used for calculating the internal force and deformation of the structure under the action of earthquake.

As one of the main methods for acquiring the shock resistance of the electromechanical equipment, the test method can generally use the median shock resistance (Am) and the random logarithmic standard deviation (beta) of the equipment_R) Uncertainty logarithmic standard deviation (. beta.)_U) The vulnerability of the equipment is characterized, and the vulnerability model is as follows:

TRS_C＝TRS·C_T·C_I·F_ms

RRS_C＝RRS·C_C·D_R·AF_C

in the above formula:

am, and (2): the median seismic capacity of the equipment;

TRSc: a shock resistance Test Reaction Spectrum (TRS) is subjected to pretreatment such as peak clipping/broadening and the like to obtain a test spectrum;

RRSc: the earthquake Resistance Required Spectrum (RRS) is subjected to pretreatment such as peak clipping/broadening and the like to obtain a required spectrum;

F_D: a wideband input spectrum device capability factor;

F_RS: structural reaction factors of the structure where the equipment is located;

PGA_REF: a peak acceleration of the reference earthquake (PGA);

C_T: the peak clipping coefficient;

C_I: a capacity increase factor;

F_msa multi-axis-single axis conversion factor;

C_C: the peak clipping coefficient;

D_R: a demand reduction factor;

AF_C: a cabinet amplification factor;

β_R: random logarithmic standard deviation;

β_U: uncertainty logarithmic standard deviation;

the TRSc/RRSc is the ratio of the test reaction spectrum of the equipment in the frequency range (such as 3.5 Hz-100 Hz) to the required reaction spectrum of the corresponding frequency point.

According to the method example, the functional modules are divided, for example, the functional modules may be divided corresponding to the functions, or two or more functions may be integrated into one processing module; the integrated module can be realized in a hardware mode or a software function module mode, and a final program is packaged and called by combining with database software. It should be noted that the division of the modules in this embodiment is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Concretely, antidetonation test reaction spectrum identification equipment includes:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

and the data storage module is used for storing the automatically read data.

A nuclear power plant electromechanical device seismic capacity analysis apparatus, comprising:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

the data storage module is used for storing the automatically read data;

and the electromechanical equipment anti-seismic vulnerability assessment module is used for combining the anti-seismic test reaction spectrum data with the anti-seismic test requirement spectrum data, assessing the anti-seismic vulnerability of the electromechanical equipment, and determining the anti-seismic capacity of the electromechanical equipment according to the vulnerability assessment result.

The hardware system of the device may include a processor and a memory;

the memory is used for storing computer execution instructions, the processor is connected with the memory through the bus, the processor executes the computer execution instructions stored in the memory, and the communication equipment is responsible for being connected with an external network and carrying out a data receiving and sending process; the processor is connected with the memory, and the memory comprises database software.

The database software is a database with a version above SQL Server2005 and is stored in a computer readable storage medium; the processor and the memory contain instructions for causing the personal computer or the server or the network device to perform all or part of the steps of the method; the type of processor used includes central processing units, general purpose processors, digital signal processors, application specific integrated circuits, field programmable gate arrays or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof; the storage medium comprises a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

Specifically, the software system is loaded on a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others. The communication device for communication between the relevant person and the user may utilize a transceiver, a transceiver circuit, a communication interface, or the like.

Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (12)

1. A seismic test reaction spectrum identification method comprises the following steps:

firstly, identifying the characteristics of a reaction spectrum curve of an anti-seismic test aiming at a reaction spectrum image to be identified, and separating the reaction spectrum curve from a background grid through the obtained curve characteristics;

generating a self-adaptive coordinate axis network aiming at the key frequency point, associating the identified reaction spectrum image with the coordinate axis network, and realizing automatic reading of key readings;

and step three, storing the automatically read data.

2. The method according to claim 1, wherein the identifying characteristics of the reaction spectrum of the seismic test in the first step comprises identifying a reaction spectrum curve, a coordinate system, and an interference curve.

3. The earthquake resistance test reaction spectrum identification method according to claim 2, wherein in the step one, aiming at the reaction spectrum image to be identified, the characteristics of the earthquake resistance test reaction spectrum curve are identified in a color drawing mode, the line with the drawn distinguishing colors is identified as the reaction spectrum curve, and the original color line is identified as the axis of the axis network; and distinguishing a reaction spectrum curve from an axis of the axis network to realize the separation of the reaction spectrum curve from the background grid.

4. The earthquake resistance test response spectrum identification method according to claim 1, wherein in the second step, the coordinate graduation of the coordinate axis network is set according to the wave crest on the earthquake resistance requirement spectrum or the wave trough on the test acceleration spectrum, and the key frequency point is determined; or setting key frequency points according to the characteristics of the equipment.

5. The seismic test reaction spectrum identification method according to claim 1, wherein the key frequency points in the second step are determined based on the key frequency points in the seismic test requirement spectrum.

6. The seismic test response spectrum identification method according to claim 1, wherein in the second step, axes corresponding to the division values are drawn into a coordinate axis network according to key coordinate division input by a user in a customized manner to form encrypted coordinates.

7. The seismic test reaction spectrum identification method according to any one of claims 4 to 6, wherein in the second step, continuous lines are drawn in a coordinate system according to reaction spectrum images, and each reaction spectrum curve corresponds to a complete continuous section line; the coordinate values of the points on the continuous segment line are extracted in order.

8. The earthquake resistance test reaction spectrum identification method according to claim 1, wherein in the third step, the read earthquake resistance test reaction spectrum data are respectively stored according to the mode of equipment type, manufacturer and model, and corresponding indexes are established.

9. A nuclear power plant electromechanical device seismic capacity analysis method is characterized in that seismic test reaction spectrum data are obtained by using the seismic test reaction spectrum recognition method according to any one of claims 1 to 8, seismic vulnerability of the electromechanical device is evaluated by combining the seismic test requirement spectrum data, and the electromechanical device seismic capacity is determined according to vulnerability evaluation results.

10. The method for analyzing the seismic capacity of the electromechanical equipment in the nuclear power plant according to claim 9, wherein the method for evaluating the seismic vulnerability of the electromechanical equipment is to combine the identified equipment seismic test response spectrum, read the seismic acceleration value of each frequency point in the seismic test process, compare the seismic acceleration value with the corresponding acceleration value in the seismic test requirement spectrum, identify the key frequency, perform operation and iteration, determine the key frequency point and the seismic capacity value of the equipment, and complete the evaluation of the seismic performance of the equipment.

11. An earthquake resistance test reaction spectrum identification device, comprising:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

and the data storage module is used for storing the automatically read data.

12. A nuclear power plant electromechanical device seismic capacity analysis apparatus, comprising:

the reaction spectrum curve characteristic identification module is used for identifying the reaction spectrum curve characteristic of the anti-seismic test aiming at the reaction spectrum image to be identified and separating the reaction spectrum curve from the background grid through the obtained curve characteristic;

the system comprises a coordinate axis network generation and key reading module, a coordinate axis network generation and key reading module and a response spectrum identification module, wherein the coordinate axis network generation and key reading module is used for generating an adaptive coordinate axis network aiming at key frequency points, associating identified response spectrum images with the coordinate axis network and realizing automatic reading of key readings;

the data storage module is used for storing the automatically read data;

and the electromechanical equipment anti-seismic vulnerability assessment module is used for combining the anti-seismic test reaction spectrum data with the anti-seismic test requirement spectrum data, assessing the anti-seismic vulnerability of the electromechanical equipment, and determining the anti-seismic capacity of the electromechanical equipment according to the vulnerability assessment result.

Images