Dam site area seismic intensity calculation method and device and electronic equipment

Abstract

The invention relates to the technical field of dam safety, in particular to a dam site area seismic intensity calculation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining seismic intensity data; presetting a membership function of each evaluation factor in the seismic intensity data to an evaluation target, and constructing a fuzzy relation matrix; based on the fuzzy relation matrix, obtaining an evaluation factor fuzzy vector; performing fuzzy discrimination based on the evaluation factor fuzzy vector to obtain a seismic intensity fuzzy reasoning relation; and performing multi-level evaluation on the fuzzy reasoning relationship to obtain the final seismic intensity. Based on the relationship between seismic oscillation parameters such as seismic oscillation frequency spectrum, amplitude and duration and seismic intensity, the high concrete dam intensity is quickly calculated, a fuzzy method is adopted to obtain the relationship between the intensity and each related physical quantity, judgment results of different factors are integrated to obtain a seismic intensity value, and the seismic intensity is calculated. Complete analysis of the relationship between the seismic oscillation parameter and the seismic intensity is realized, and the seismic intensity encountered by the dam is accurately reflected.

Description

Technical Field

[0001] The present application relates to the technical field of dam safety, and in particular to a method, device, electronic equipment, computer-readable storage medium and computer program product for calculating earthquake intensity in a dam site area. Background Art

[0002] Southwest my country is rich in hydropower resources, and many high-dam hydropower station projects are planned, constructed and operated, including Xiaowan, Nuozadu and other high arch dam projects with a height of more than 200m. At the same time, the southwest region is also a high-incidence earthquake area, and the seismic safety of high dams faces severe challenges. Due to the huge reservoir capacity, once the high dam collapses, the reservoir water will leak out of control, which will cause huge casualties and property losses downstream, and the consequences will be disastrous. However, there is no complete analysis method for the relationship between seismic motion parameters and earthquake intensity in the prior art. It is impossible to quickly evaluate the safety status of the dam after a strong earthquake, and it is impossible to accurately reflect the earthquake intensity encountered by the dam. It is impossible to accurately reflect the safety problems encountered by the dam, resulting in the inability to accurately and quickly complete the safety assessment of the dam in the later stage, and it is impossible to formulate reasonable and effective emergency measures for earthquake prevention and disaster reduction, which may cause casualties and economic property losses.

[0003] In summary, how to design an efficient and fast method for calculating earthquake intensity in dam sites is an urgent problem that needs to be solved. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first purpose of this application is to propose a method for calculating the earthquake intensity in the dam site area to solve the problems that the existing technical means cannot quickly evaluate the safety status of the dam after a strong earthquake and cannot accurately reflect the earthquake intensity encountered by the dam.

[0006] The second object of the present application is to provide a device.

[0007] The third objective of the present application is to provide an electronic device.

[0008] A fourth objective of the present application is to provide a computer-readable storage medium.

[0009] The fifth objective of this application is to provide a computer program product.

[0010] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a method for calculating the seismic intensity of a dam site, comprising:

[0011] Obtain earthquake intensity data;

[0012] Presetting the membership function of each assessment factor in the earthquake intensity data to the assessment target, and constructing a fuzzy relationship matrix;

[0013] Based on the fuzzy relationship matrix, obtaining a fuzzy vector of an evaluation factor;

[0014] Based on the fuzzy vector of the evaluation factor, fuzzy discrimination is performed to obtain the fuzzy reasoning relationship of the earthquake intensity;

[0015] The fuzzy reasoning relationship is evaluated at multiple levels to obtain the final earthquake intensity.

[0016] Preferably, the presetting of the membership function of each assessment factor in the seismic intensity data to the assessment target to construct a fuzzy relationship matrix comprises:

[0017] Acquiring evaluation factors in the earthquake intensity data, wherein the evaluation factors include peak acceleration, dominant frequency and duration;

[0018] Constructing a membership function between the assessment factor and the assessment target based on the assessment factor;

[0019] Given a preset value for each assessment factor, the membership of the assessment factor to different intensities is obtained based on the membership function, and a fuzzy relationship matrix is ​​constructed.

[0020] Preferably, the fuzzy relationship matrix includes:

[0021]

[0022] Among them, r ij is the degree of membership, the range of which is (0,1), 0 means it does not belong at all, and 1 means it belongs.

[0023] Preferably, the step of obtaining the fuzzy vector of the evaluation factor based on the fuzzy relationship matrix comprises:

[0024] The evaluation factors are evaluated by using a weighted average method, the contribution ratio of each evaluation factor to the evaluation target is quantitatively evaluated, and a fuzzy vector of the evaluation factor is obtained;

[0025] The fuzzy vector calculation formula is:

[0026]

[0027] Among them, ∑P i =1, is the fuzzy vector.

[0028] Preferably, the multi-level evaluation of the fuzzy reasoning relationship to obtain the final earthquake intensity includes:

[0029] Based on the fuzzy reasoning relationship, the evaluation factor is evaluated at multiple levels to obtain a first evaluation result fuzzy vector;

[0030] Based on the first evaluation result fuzzy vector, the response spectrum is evaluated as a new evaluation factor to obtain a second evaluation result fuzzy vector;

[0031] The first evaluation result fuzzy vector and the second evaluation result fuzzy vector are comprehensively evaluated to obtain a final earthquake intensity.

[0032] Preferably, the step of comprehensively evaluating the first evaluation result fuzzy vector and the second evaluation result fuzzy vector to obtain the final earthquake intensity comprises:

[0033] Based on the first evaluation result fuzzy vector and the second evaluation result fuzzy vector, a weight vector is introduced to obtain a final fuzzy vector;

[0034] Based on the final fuzzy vector, the membership degree is used as a weight factor for weighted averaging to obtain the final earthquake intensity.

[0035] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a device for calculating earthquake intensity in a dam site area, comprising:

[0036] A data acquisition module, for acquiring earthquake intensity data;

[0037] A fuzzy relationship matrix construction module is used to preset the membership function of each assessment factor in the earthquake intensity data to the assessment target and construct a fuzzy relationship matrix;

[0038] A fuzzy vector acquisition module, which acquires the fuzzy vector of the evaluation factor based on the fuzzy relationship matrix;

[0039] A fuzzy discrimination module performs fuzzy discrimination based on the fuzzy vector of the assessment factor to obtain a fuzzy reasoning relationship of earthquake intensity;

[0040] The evaluation module performs multi-level evaluation on the fuzzy reasoning relationship to obtain the final earthquake intensity.

[0041] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0042] The memory stores computer-executable instructions;

[0043] The processor executes the computer-executable instructions stored in the memory to implement any of the above methods.

[0044] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, including computer-executable instructions stored in the computer-readable storage medium, and the computer-executable instructions are used to implement any of the methods described above when executed by a processor.

[0045] To achieve the above objectives, the fifth aspect of the present application proposes a computer program product, including a computer program / instruction, which implements any of the methods described above when executed by a processor.

[0046] The present application provides a method for calculating earthquake intensity in a dam site area. The method quickly calculates the intensity of a high concrete dam based on the relationship between earthquake parameters such as earthquake spectrum, amplitude and duration and earthquake intensity. The method adopts a fuzzy method to obtain the relationship between intensity and various related physical quantities. The judgment results of different factors are integrated to obtain a fuzzy vector of earthquake intensity using a multi-level evaluation method. The fuzzy vector of earthquake intensity is converted into a clear result in combination with a comprehensive evaluation to obtain an earthquake intensity value. The method realizes a complete analysis of the relationship between earthquake parameters and earthquake intensity, can quickly evaluate the safety status of the dam after a strong earthquake, and accurately reflect the earthquake intensity encountered by the dam.

[0047] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0049] Figure 1 A flowchart of a first specific embodiment of a method for calculating earthquake intensity in a dam site area provided by the present invention;

[0050] Figure 2 A structural block diagram of a device for calculating earthquake intensity in a dam site area provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The core of the present invention is to provide a method, device, electronic equipment and storage medium for calculating the earthquake intensity in the dam site area. The fuzzy method is used to study the relationship between the intensity and various related physical quantities, and the judgment results of different factors are integrated to obtain the earthquake intensity, thereby realizing a complete analysis of the relationship between seismic motion parameters and earthquake intensity.

[0052] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0053] Please refer to Figure 1 , Figure 1 This is a flow chart of a first specific embodiment of a method for calculating earthquake intensity in a dam site area provided by the present invention; the specific operation steps are as follows:

[0054] Step S101: obtaining earthquake intensity data;

[0055] Step S102: presetting the membership function of each assessment factor in the earthquake intensity data to the assessment target, and constructing a fuzzy relationship matrix;

[0056] Acquiring evaluation factors in the earthquake intensity data, wherein the evaluation factors include peak acceleration, dominant frequency and duration;

[0057] Constructing a membership function between the assessment factor and the assessment target based on the assessment factor;

[0058] Given a preset value of each assessment factor, the membership of the assessment factor to different intensities is obtained based on the membership function, and a fuzzy relationship matrix is ​​constructed;

[0059] The fuzzy relationship matrix includes:

[0060]

[0061] Among them, r ik is the degree of membership, the range of which is (0,1), 0 means it does not belong at all, and 1 means it belongs.

[0062] Step S103: based on the fuzzy relationship matrix, obtaining a fuzzy vector of an evaluation factor;

[0063] The evaluation factors are evaluated by using a weighted average method, the contribution ratio of each evaluation factor to the evaluation target is quantitatively evaluated, and a fuzzy vector of the evaluation factor is obtained;

[0064] The fuzzy vector calculation formula is:

[0065]

[0066] Among them, ∑P i =1, is the fuzzy vector.

[0067] Step S104: Based on the fuzzy vector of the evaluation factor, fuzzy discrimination is performed to obtain the fuzzy reasoning relationship of the earthquake intensity;

[0068] Step S105: Perform multi-level evaluation on the fuzzy reasoning relationship to obtain the final earthquake intensity.

[0069] Based on the fuzzy reasoning relationship, the evaluation factor is evaluated at multiple levels to obtain a first evaluation result fuzzy vector;

[0070] Based on the first evaluation result fuzzy vector, the response spectrum is evaluated as a new evaluation factor to obtain a second evaluation result fuzzy vector;

[0071] Comprehensively evaluating the first evaluation result fuzzy vector and the second evaluation result fuzzy vector to obtain a final earthquake intensity;

[0072] Based on the first evaluation result fuzzy vector and the second evaluation result fuzzy vector, a weight vector is introduced to obtain a final fuzzy vector;

[0073] Based on the final fuzzy vector, the membership degree is used as a weight factor for weighted averaging to obtain the final earthquake intensity.

[0074] This embodiment provides a method for calculating the earthquake intensity in a dam site area. Based on the relationship between earthquake parameters such as earthquake spectrum, amplitude and duration and earthquake intensity, the intensity of a high concrete dam is quickly calculated. A fuzzy method is used to obtain the relationship between the intensity and various related physical quantities. The judgment results of different factors are integrated, and a multi-level evaluation method is used to obtain a fuzzy vector of earthquake intensity. The fuzzy vector of earthquake intensity is converted into a clear result in combination with a comprehensive evaluation to obtain an earthquake intensity value. A complete analysis of the relationship between earthquake parameters and earthquake intensity is achieved, and the safety status of the dam after a strong earthquake can be quickly evaluated, and the earthquake intensity encountered by the dam can be accurately reflected.

[0075] Based on the above embodiment, this embodiment describes a method for calculating the seismic intensity of a dam site area, as follows:

[0076] The fuzzy method is used to study the relationship between intensity and related physical quantities. Its advantage is that it can combine the judgment results of different factors and give appropriate attribute judgments.

[0077] Take the peak acceleration A and the dominant frequency f p and duration T d The evaluation domain is composed of the following: the target earthquake intensity (intensity) is also a domain. The intensity evaluation range considered here is <Ⅳ, Ⅳ, Ⅴ, Ⅵ, Ⅶ, Ⅷ, Ⅸ, > Ⅸ, a total of 8 levels. The evaluation process is divided into six steps:

[0078] The first step is single factor assessment. First, set each assessment factor (A, f p, T d ) is the membership function of the assessment target (intensity I). Given the value of each assessment factor, the membership degree r of different intensities can be obtained according to their respective membership functions. ij The membership range is 0-1, 0 means it does not belong at all, 1 means it definitely belongs, the subscript i is the order of the assessment factor, j is the intensity level number, and the fuzzy relationship matrix is ​​formed.

[0079]

[0080] Among them, r ij is the degree of membership, the range of which is (0,1), 0 means it does not belong at all, and 1 means it belongs.

[0081] The second step is to determine the fuzzy vector of the evaluation factors. Its significance is to quantitatively estimate the proportion of each evaluation factor's contribution to the target evaluation based on its importance to the evaluation target. This problem adopts the weighted average comprehensive evaluation, so the fuzzy vector is the vector composed of each weighted factor. Where ∑P i =1.

[0082] The third step is fuzzy discrimination. Let the fuzzy vector of the evaluation result (intensity) be but and The fuzzy reasoning relationship is The symbol · in the formula represents fuzzy reasoning operation. Here, the weighted average reasoning method is adopted, so the operation is transformed into a common matrix operation.

[0083] The fourth step is to use a multi-level assessment according to the nature of the problem. In this problem, we use a two-level assessment, that is, we first use the three elements to assess once and obtain the fuzzy vector of the assessment result. We also hope that the evaluation results can reflect the damage of the structure, so we introduce the response spectrum as a new evaluation factor. Using four spectrum values ​​as new evaluation factors, similar to the three-element evaluation, we get another intensity fuzzy vector

[0084] The fifth step is to combine the two independent judgment results. A weight vector is introduced to represent the weight of the impact of the seismic parameters and response spectrum parameters on the intensity. Similar to the second and third steps, the final fuzzy vector evaluation result is obtained.

[0085] The sixth step is comprehensive assessment. The result obtained above is a fuzzy vector, which specifically refers to the degree of membership of the observation point record to each intensity, that is, it can "simultaneously" belong to any intensity, but the degree is different. However, we require a clear result and give an intensity value. This requires comprehensive assessment. The simplest method is to take the intensity corresponding to the maximum degree of membership, or to take a weighted average with the degree of membership as the weight factor, that is:

[0086] or

[0087] What we get here is a decimal intensity value, which can be rounded off to get an integer intensity.

[0088] In the determination of the three elements of earthquake motion, the weight factors of peak acceleration, dominant frequency, and duration are determined to be 0.85, 0.05, and 0.1 respectively; in the determination of the response spectrum, the weight factors of the four spectrum values ​​are determined to be 0.1 (8Hz), 0.4 (5Hz), 0.1 (2Hz), and 0.4 (1Hz). In the secondary assessment, the weight factors of the three elements are taken as 0.4, and the weight factor of the response spectrum value is taken as 0.6. The final membership function is calculated, and the reference intensity is given.

[0089] Taking specific data as an example, the seismic instrument intensity is calculated; the three elements of seismic motion (PGA, Fourier spectrum dominant frequency and relative duration) and the response spectrum values ​​corresponding to the four frequency points (8, 5, 2 and 1 Hz) are comprehensively utilized, and the two-level evaluation is performed through the membership matrix to determine the instrument intensity corresponding to the strong vibration record. As shown in Table 1, the instrument intensity is less than IV.

[0090] Table 1 Instrumental intensity of earthquake on January 4, 2019

[0091]

[0092] A method for calculating earthquake intensity in a dam site area provided by an embodiment of the present invention quickly calculates the intensity of a high concrete dam based on the relationship between earthquake parameters such as earthquake spectrum, amplitude and duration and earthquake intensity, adopts a fuzzy method to obtain the relationship between intensity and relevant physical quantities, comprehensively considers the judgment results of different factors, adopts a multi-level assessment method to obtain an earthquake intensity fuzzy vector, and combines the comprehensive assessment to convert the earthquake intensity fuzzy vector into a clear result to obtain an earthquake intensity value, thereby achieving a complete analysis of the relationship between earthquake parameters and earthquake intensity, and can quickly evaluate the safety status of the dam after a strong earthquake, accurately reflect the earthquake intensity encountered by the dam, and reasonably formulate effective emergency measures for earthquake prevention and disaster reduction, thereby avoiding casualties and economic and property losses.

[0093] Please refer to Figure 2 , Figure 2 A structural block diagram of a dam site earthquake intensity calculation device provided by an embodiment of the present invention; the specific device may include:

[0094] A data acquisition module 100 is used to acquire earthquake intensity data;

[0095] A fuzzy relationship matrix construction module 200 is used to preset the membership function of each assessment factor in the earthquake intensity data to the assessment target and construct a fuzzy relationship matrix;

[0096] A fuzzy vector acquisition module 300 is used to acquire a fuzzy vector of an evaluation factor based on the fuzzy relationship matrix;

[0097] A fuzzy discrimination module 400 performs fuzzy discrimination based on the fuzzy vector of the assessment factor to obtain a fuzzy reasoning relationship of earthquake intensity;

[0098] The evaluation module 500 performs multi-level evaluation on the fuzzy reasoning relationship to obtain the final earthquake intensity.

[0099] A dam site area earthquake intensity calculation device of this embodiment is used to implement the aforementioned dam site area earthquake intensity calculation method. Therefore, the specific implementation method of a dam site area earthquake intensity calculation device can be seen in the embodiment part of the dam site area earthquake intensity calculation method in the previous text. For example, the data acquisition module 100, the fuzzy relationship matrix construction module 200, the fuzzy vector acquisition module 300, the fuzzy discrimination module 400, and the evaluation module 500 are respectively used to implement steps S101, S102, S103, S104, and S105 in the aforementioned dam site area earthquake intensity calculation method. Therefore, its specific implementation method can refer to the description of the corresponding parts of the embodiments and will not be repeated here.

[0100] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0101] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0102] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0103] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0104] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0105] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0106] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0107] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0108] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0109] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0110] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0111] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0112] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0113] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for calculating earthquake intensity in a dam site area, characterized in that: include: Obtain earthquake intensity data; Presetting the membership function of each assessment factor in the earthquake intensity data to the assessment target, and constructing a fuzzy relationship matrix; Based on the fuzzy relationship matrix, obtaining a fuzzy vector of an evaluation factor; Based on the fuzzy vector of the evaluation factor, fuzzy discrimination is performed to obtain the fuzzy reasoning relationship of the earthquake intensity; The fuzzy reasoning relationship is evaluated at multiple levels to obtain the final earthquake intensity.

2. The method for calculating earthquake intensity in the dam site area according to claim 1, characterized in that: The presetting of the membership function of each assessment factor in the earthquake intensity data to the assessment target and constructing the fuzzy relationship matrix comprises: Acquiring evaluation factors in the earthquake intensity data, wherein the evaluation factors include peak acceleration, dominant frequency and duration; Constructing a membership function between the assessment factor and the assessment target based on the assessment factor; Given a preset value for each assessment factor, the membership of the assessment factor to different intensities is obtained based on the membership function, and a fuzzy relationship matrix is ​​constructed.

3. The method for calculating earthquake intensity in the dam site area according to claim 2, characterized in that: The fuzzy relationship matrix includes: Among them, r ij is the degree of membership, the range of which is (0,1), 0 means it does not belong at all, and 1 means it belongs.

4. The method for calculating earthquake intensity in a dam site area according to claim 1, characterized in that: The step of obtaining the fuzzy vector of the evaluation factor based on the fuzzy relationship matrix comprises: The evaluation factors are evaluated by using a weighted average method, the contribution ratio of each evaluation factor to the evaluation target is quantitatively evaluated, and a fuzzy vector of the evaluation factor is obtained; The fuzzy vector calculation formula is: Among them, ∑P i =1, is the fuzzy vector.

5. The method for calculating earthquake intensity in a dam site area according to claim 1, characterized in that: The multi-level evaluation of the fuzzy reasoning relationship to obtain the final earthquake intensity includes: Based on the fuzzy reasoning relationship, the evaluation factor is evaluated at multiple levels to obtain a first evaluation result fuzzy vector; Based on the first evaluation result fuzzy vector, the response spectrum is evaluated as a new evaluation factor to obtain a second evaluation result fuzzy vector; The first evaluation result fuzzy vector and the second evaluation result fuzzy vector are comprehensively evaluated to obtain a final earthquake intensity.

6. The method for calculating earthquake intensity in the dam site area according to claim 5, characterized in that: The step of comprehensively evaluating the first evaluation result fuzzy vector and the second evaluation result fuzzy vector to obtain the final earthquake intensity includes: Based on the first evaluation result fuzzy vector and the second evaluation result fuzzy vector, a weight vector is introduced to obtain a final fuzzy vector; Based on the final fuzzy vector, the membership degree is used as a weight factor for weighted averaging to obtain the final earthquake intensity.

7. A device for calculating earthquake intensity in a dam site area, characterized in that: include: A data acquisition module, for acquiring earthquake intensity data; A fuzzy relationship matrix construction module is used to preset the membership function of each assessment factor in the earthquake intensity data to the assessment target and construct a fuzzy relationship matrix; A fuzzy vector acquisition module, which acquires the fuzzy vector of the evaluation factor based on the fuzzy relationship matrix; A fuzzy discrimination module performs fuzzy discrimination based on the fuzzy vector of the assessment factor to obtain a fuzzy reasoning relationship of earthquake intensity; The evaluation module performs multi-level evaluation on the fuzzy reasoning relationship to obtain the final earthquake intensity.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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