Assessment method of earthquake secondary sudden environmental event risk

Abstract

The invention aims to provide a method for evaluating the risk of an earthquake secondary sudden environmental event. The method comprises the following steps: acquiring environmental parameters and earthquake parameters; constructing a correlation model of the environmental parameters and the seismic parameters; and evaluating the risk of the earthquake secondary sudden environmental event according to the correlation model. According to the method, multiple factors influencing the risk level of the earthquake secondary sudden environmental event are fused, the calculation amount of the neural network model can be reduced, the judgment speed can be improved, the risk level of the earthquake secondary sudden environmental event is comprehensively evaluated, and the estimation accuracy can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method for assessing the risk of sudden environmental events secondary to earthquakes. Background Art

[0002] Secondary environmental events caused by earthquakes mainly include fire, flood, toxic gas pollution, bacterial pollution, radioactive pollution, earthquake landslide, earthquake rolling stone, earthquake mudslide, earthquake tsunami, etc. In addition to the direct harm to humans, the losses caused by the secondary disasters caused by earthquakes are even greater. These secondary disasters include but are not limited to: Fire: Strong earthquakes may cause damage to electrical facilities, chemical reactions of dangerous goods, explosion and combustion of flammable and explosive materials, damage to chimneys, etc., which may then cause fires. The use of open flames in earthquake-proof sheds is also prone to fire. Flood: Earthquakes can cause blockage of rivers, and the vibrations caused by earthquakes may also cause damage to water conservancy projects such as reservoirs and dams, causing floods. Landslide, rolling stone, mudslide: Affected by the earthquake, the soil or rock exposed outside the slope may slide down the slope as a whole or dispersedly along a certain weak surface or weak zone, forming a landslide; gravel or rock blocks roll freely down the slope; earthquakes may also induce the flow of a mixture of water, mud, and stones, forming a mudslide. Tsunami: Earthquake tsunamis are generally caused by earthquakes with a magnitude of 6.5 or above and a focal depth of less than 50 kilometers under the sea, posing a threat to coastal areas. The occurrence of these secondary disasters requires people to take corresponding preventive measures after the earthquake, such as trying to cut off the fire source, covering the mouth and nose with a wet towel to lower the body's center of gravity and move quickly, timely understanding the safety information of dams and barrier lakes in the earthquake zone, and avoiding staying on landslides, etc., to reduce the losses caused by secondary disasters.

[0003] The influencing factors of earthquake secondary environmental events mainly include peak acceleration of seismic motion, active faults, topography, lithology, geological structure, climatic conditions and human engineering activities. Earthquake secondary environmental events refer to a series of environmental problems caused by the direct effect of the earthquake or other factors triggered by the earthquake after the earthquake. These events are affected by various factors, involving the combined impact of natural factors and human activities on the environment. At present, the assessment of the risk of secondary sudden environmental events after an earthquake is not accurate enough, and the assessment speed is not high enough to provide a suitable reference for rescue workers to make rescue plans. Summary of the invention

[0004] The purpose of the present invention is to provide a method for assessing the risk of secondary sudden environmental events caused by earthquakes. The method can reduce the amount of calculation of the neural network model and improve the judgment speed by integrating multiple factors that affect the risk level of secondary sudden environmental events caused by earthquakes. In addition, the method can conduct a comprehensive assessment of the risk level of secondary sudden environmental events caused by earthquakes, thereby improving the accuracy of the estimation.

[0005] A method for assessing the risk of sudden environmental events secondary to earthquakes, comprising: Obtain environmental parameters and earthquake parameters; Constructing a correlation model between the environmental parameters and earthquake parameters; The risk of secondary sudden environmental events caused by earthquakes is assessed based on the association model.

[0006] Preferably, the step of constructing the correlation model between the environmental parameters and the earthquake parameters comprises: Merge multiple environmental parameters into environmental impact factors; Merge multiple earthquake parameters into earthquake impact factors; According to the influence of environment and earthquake on secondary sudden environmental events, a correlation model of the environmental influencing factors and earthquake influencing factors is constructed.

[0007] Preferably, the step of fusing the multiple environmental parameters into environmental impact factors comprises: The environmental impact factor is expressed as: Among them, Q is the influence degree of environmental impact factors on environmental events, is the geological parameter, is the terrain parameter, are the building parameters, is the influence of geological parameters on Class A environmental events, is the influence of terrain parameters on type B environmental events, It is the influence degree of building parameters on Class C environmental events.

[0008] Preferably, calculating the weights of the multiple environmental parameters includes: The weight of the earthquake impact factor is expressed as: in, is the weight of the jth environmental parameter, is the subjective weight of the jth environmental parameter obtained using the AHP method, is the objective weight of the jth environmental parameter obtained using the entropy weight method.

[0009] Preferably, the construction of the correlation model of the environmental impact factor and the earthquake impact factor according to the impact of the environment and the earthquake on the secondary sudden environmental event includes: Establish the network structure of the association model, including the decision-making objectives and decision-making criteria of the control layer and the interaction relationship between the elements and elements of the network layer; Use the correlation model to analyze and process the impact of environment and earthquake on secondary sudden environmental events; Calculate the impact factor based on the analyzed environment and earthquake impact on secondary sudden environmental events; The risk level of the secondary emergency is calculated based on the impact factor.

[0010] Preferably, the use of a correlation model to analyze and process the impact of the environment and earthquake on secondary sudden environmental events includes: Under the influence criteria of environment and earthquake on secondary sudden environmental events, the influence parameters dominating the secondary sudden environmental events are compared to obtain the judgment matrix; Sorting the influencing parameters in the judgment matrix according to the magnitude of their influence; The extreme supermatrix is ​​constructed to represent the combined impact of environment and earthquake on secondary sudden environmental events in the association model.

[0011] Preferably, it also includes constructing a loss function of the association model, specifically: Among them, n is the number of training samples, is the weight decay term, is the attenuation factor, is the objective weight, is the indicator function, j is the jth parameter, and i is the i-th influencing factor.

[0012] Preferably, the impact factor calculated based on the analyzed impact of the environment and earthquake on the secondary sudden environmental event includes: The impact factor is expressed as: in, is the relative comprehensive weight of the kth influencing parameter, is the absolute comprehensive weight of the i influencing parameters in the extreme supermatrix.

[0013] An assessment system for the risk of sudden environmental events secondary to earthquakes, comprising: A data acquisition module, used to acquire environmental parameters and earthquake parameters; A correlation model building module, used to build a correlation model of the environmental parameters and earthquake parameters; The risk assessment module is used to assess the risk of sudden environmental events secondary to earthquakes based on the association model.

[0014] An electronic device comprises: a processor and a memory, wherein the memory is used to store computer program codes, and the computer program codes include computer instructions. When the processor executes the computer instructions, the electronic device executes a method for assessing the risk of sudden environmental events secondary to earthquakes.

[0015] The beneficial effects of the present invention are: 1. The present invention combines multiple parameters that can affect earthquake secondary sudden environmental events, which can greatly improve the processing efficiency, avoid the mutual influence of multiple parameters when processing at the same time, and lead to inaccurate results. It can also reduce the data processing amount of the neural network and improve the efficiency of data processing; 2. The present invention sets an association model according to the influence of the parameters of the earthquake itself and the environmental parameters of the earthquake on the earthquake secondary sudden environmental events, predicts the risk level of the earthquake secondary sudden environmental events through the association model, and guides rescue personnel to carry out post-disaster rescue and reconstruction work in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention. In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor. Figure 1 A flow chart of a method for assessing the risk of sudden environmental events secondary to earthquakes according to the present invention; Figure 2 A schematic diagram of the process of building a correlation model of environmental parameters and earthquake parameters of the present invention; Figure 3 This is a schematic diagram of the process of analyzing and processing the impact of the environment and earthquake on secondary sudden environmental events using a correlation model of the present invention; Figure 4 The figure is a schematic diagram of the hardware structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0019] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their 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 addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0020] The influencing factors of earthquake secondary environmental events mainly include peak acceleration of seismic motion, active faults, topography, lithology, geological structure, climatic conditions and human engineering activities. Earthquake secondary environmental events refer to a series of environmental problems caused by the direct effect of the earthquake or other factors triggered by the earthquake after the earthquake. These events are affected by various factors, involving the combined impact of natural factors and human activities on the environment. At present, the assessment of the risk of secondary sudden environmental events after an earthquake is not accurate enough, and the assessment speed is not high enough to provide a suitable reference for rescue workers to make rescue plans.

[0021] The present invention combines multiple parameters that can affect earthquake secondary sudden environmental events, which can greatly improve processing efficiency, avoid the mutual influence of multiple parameters during simultaneous processing, resulting in inaccurate results, and reduce the data processing volume of the neural network, thereby improving data processing efficiency. The present invention sets an association model based on the influence of the parameters of the earthquake itself and the parameters of the earthquake-occurring environment on the earthquake secondary sudden environmental events, predicts the risk level of the earthquake secondary sudden environmental events through the association model, and guides rescue personnel to carry out post-disaster rescue and reconstruction work in a timely manner.

[0022] Example 1 A method for assessing the risk of sudden environmental events caused by earthquakes, referring to Figure 1 ,include: S100, obtaining environmental parameters and earthquake parameters; Earthquake parameters include: magnitude, focal depth, time of occurrence, location of occurrence, distance from the epicenter and peak acceleration of seismic motion.

[0023] Peak acceleration of earthquake motion: This is an important indicator to measure the intensity of an earthquake. High-intensity earthquake motion will lead to more secondary environmental events, such as landslides and mudslides. Active faults: Earthquakes often occur along active fault zones. The existence of these fault zones increases the risk of secondary environmental events caused by earthquakes. Magnitude: The greater the magnitude, the greater the energy released, and the greater the possible disaster. For every magnitude difference of one level, the energy difference is about 30 times.

[0024] Epicenter depth: Under the same magnitude, the shallower the epicenter depth, the higher the epicenter intensity and the more serious the damage. Earthquake time and location: These two factors affect the direct impact of an earthquake on a specific area. Epicenter distance: refers to the distance from the earthquake site to a certain location. The closer the distance, the greater the impact.

[0025] Environmental parameters include: Topography: Different topography responds differently to earthquakes. For example, mountainous areas are more prone to landslides and mudslides. Lithology: Soils and rocks of different lithologies have different sensitivities to earthquakes, and some lithologies are more likely to break and shift during earthquakes. Geological structure: The complexity of geological structure can also affect the occurrence and development of secondary environmental events caused by earthquakes. Climate conditions: Climate conditions, such as rainfall, have a direct impact on secondary disasters such as landslides and mudslides. Human engineering activities: Human activities, such as road construction and buildings, may change topography and geological structures, increasing the risk of secondary environmental events caused by earthquakes. These factors interact with each other and jointly affect the occurrence and development of secondary environmental events caused by earthquakes. Understanding these factors can help better predict and respond to secondary environmental events caused by earthquakes and reduce their impact on the environment and humans.

[0026] S200, constructing the correlation model between environmental parameters and earthquake parameters; The risk of earthquakes is mainly affected by two main factors: magnitude and environmental conditions. Magnitude is a measure of the amount of energy released by an earthquake. The larger the magnitude, the more energy is released and the more obvious the damage to the ground. Generally speaking, earthquakes with a magnitude of 5 or greater will cause damage. For example, for every increase in the Richter scale, the heat energy released increases by about 32 times, which means that earthquakes with larger magnitudes release more energy and cause more serious damage. Environmental factors, especially geological structures, also have an important impact on earthquake risk. The occurrence of earthquakes is closely related to the geological structure of the location, such as whether it is located on a fault zone or the edge of a continental plate. These areas are more prone to earthquakes due to the movement of the earth's crust and the interaction between plates. For example, the Great Japan Earthquake and the Great Wenchuan Earthquake occurred because they were located on the edge of the Asian continental plate and a crustal fault zone respectively. The impact of earthquakes on the ecological environment cannot be ignored. After an earthquake, a large amount of solid waste may be generated, such as the wreckage of houses and factories, abandoned cars, broken containers and oil tanks, etc. These wastes have a serious burden on the environment. Especially in areas where environmental technology is underdeveloped, it is extremely difficult to deal with these wastes, which may cause continuous environmental damage. The risk of secondary sudden environmental events caused by earthquakes is not only related to the magnitude of the earthquake, but also closely related to the geological environment and conditions of the area where the earthquake occurs. Understanding these factors will help to better assess and respond to earthquake risks.

[0027] S300, assessing the risk of secondary sudden environmental events caused by earthquakes based on the association model.

[0028] The risk level of sudden environmental events caused by earthquakes mainly depends on the severity and urgency of the environmental events caused by earthquakes. According to the "Grading Standards and Handling Measures for Sudden Environmental Events", sudden environmental events are divided into four levels: extremely serious (level I), serious (level II), relatively serious (level III) and general (level IV). Specifically for sudden environmental events caused by earthquakes, the risk level may include: extremely serious (level I): including situations where more than 10 people died or more than 100 people were poisoned due to environmental pollution; situations where more than 50,000 people need to be evacuated or relocated due to environmental pollution; situations where direct economic losses caused by environmental pollution exceed 100 million yuan, etc. Serious (level II): involving situations where more than 3 people but less than 10 people died or more than 50 people but less than 100 people were poisoned due to environmental pollution; situations where more than 10,000 people but less than 50,000 people need to be evacuated or relocated due to environmental pollution; situations where direct economic losses caused by environmental pollution exceed 20 million yuan but less than 100 million yuan, etc. Relatively serious (level III): including situations where less than 3 people died or more than 10 people but less than 50 people were poisoned due to environmental pollution, etc. The risk level of sudden environmental events secondary to earthquakes may also include the loss of regional ecological functions due to environmental pollution, the extinction of national key protected species, and the interruption of water extraction from centralized drinking water sources in cities at the prefecture level and above. The loss of control of radioactive materials or serious accidents in nuclear facilities will also be regarded as particularly serious or major sudden environmental events. These risk levels are divided based on the severity and urgency of environmental events that may be caused by earthquakes. The impact factor of the present invention is used to judge the risk level of sudden environmental events secondary to earthquakes, which can guide relevant departments to take corresponding emergency measures to minimize the losses and harm caused by environmental events.

[0029] Preferably, reference Figure 2 , S200, building the correlation model between environmental parameters and earthquake parameters includes: S210, integrating multiple environmental parameters into environmental impact factors; S220, fusion of multiple earthquake parameters into earthquake impact factors; S230, constructing a correlation model between environmental impact factors and earthquake impact factors according to the impact of environment and earthquake on secondary sudden environmental events.

[0030] The role of multiple parameter fusion is mainly reflected in improving the reliability and robustness of the system, increasing the accuracy and comprehensiveness of information, and improving the efficiency of data collection. The present invention can significantly improve the reliability and robustness of the entire system by comprehensively processing data and information from different sources. This technology simulates the human ability to instinctively integrate the information detected by various organs of the body (such as eyes, ears, nose and limbs, etc.) with prior knowledge in order to evaluate the surrounding environment and ongoing events. Compared with a single sensor, multi-sensor fusion can enhance the survivability of the system, improve the credibility and accuracy of data, expand the time and space coverage of the system, and increase the real-time performance and information utilization of the system.

[0031] The fusion of multiple parameters helps to improve the classification accuracy and robustness of the model and reduce the risk of overfitting. By combining different features together, the performance and generalization ability of the model can be improved. For example, in computer vision, the color features and texture features of the image can be fused together to obtain better classification results. This approach can improve the robustness of the model because different features can capture different information, and when some features fail, other features can make up for their shortcomings. At the same time, using multiple features can provide more information, making the model more generalized and reducing the risk of overfitting. The role of data fusion also includes saving energy, improving the accuracy and comprehensiveness of information, reducing the uncertainty of information, and improving the practicality of the system. Through data fusion technology, the transmission of redundant data can be reduced, the network energy consumption can be reduced, and the energy utilization rate can be improved. At the same time, by analyzing and synthesizing data from different sensors, more accurate information can be obtained and the efficiency of data collection can be improved. Multiple parameter fusion can not only improve the performance and reliability of the system by comprehensively processing data and information from different sources, but also increase the accuracy and comprehensiveness of information, thereby improving the efficiency and utility of the entire system.

[0032] Preferably, S210, fusing multiple environmental parameters into environmental impact factors includes: The environmental impact factor is expressed as: Among them, Q is the influence degree of environmental impact factors on environmental events, is the geological parameter, is the terrain parameter, are the building parameters, is the influence of geological parameters on Class A environmental events, is the influence of terrain parameters on type B environmental events, It is the influence degree of building parameters on Class C environmental events.

[0033] Earthquake environmental influencing factors include topographic factors (such as elevation, slope, and aspect), natural factors (such as vegetation coverage and soil moisture index), and meteorological factors (such as annual precipitation and annual average temperature). In the embodiment of the present invention, the three environmental parameters that have the greatest impact on secondary sudden environmental events caused by earthquakes, namely, geological parameters, topographic parameters, and building parameters, are selected as environmental influencing factors.

[0034] Multiple environmental parameters can also be used to calculate the impact weights of evaluation factors through the comprehensive evaluation index method, that is, the analytic hierarchy process (AHP) in the weighted comprehensive scoring method, and the ecological environment comprehensive index can be calculated using the evaluation factor classification and weights, so as to comprehensively compare the changes in the ecological environment in the study area and summarize the changes in the ecological environment before and after the earthquake.

[0035] Preferably, calculating the weights of multiple environmental parameters includes: The weight of earthquake impact factor is expressed as: in, is the weight of the jth environmental parameter, is the subjective weight of the jth environmental parameter obtained using the AHP method, is the objective weight of the jth environmental parameter obtained using the entropy weight method.

[0036] The main weight determination methods can be divided into subjective weighting method and objective weighting method. The subjective weighting method is represented by the analytic hierarchy process, delphi method and direct scoring method, and the objective weighting method is represented by the entropy weight method, projection pursuit method, principal component analysis method and topsis. However, the subjective weighting method is generally based on expert opinions, and the weight values ​​of each indicator are given according to the professional knowledge and experience of experts. It has a certain reference significance, but the human subjectivity is too high, and there may be a large deviation from the actual situation; the objective weighting rule can fully mine the information and laws contained in the data, but it is too dependent on the data itself and does not take into account the uncertainty factors of the study area. The embodiment of the present invention uses the AHP method and the entropy weight method to calculate the subjective and objective weights of the evaluation indicators respectively, merges the subjective weight and the objective weight to obtain the combined weight, and applies the method to the risk assessment of the impact of earthquakes on secondary sudden environmental events, analyzes the impact of earthquakes on secondary sudden environmental events, and the research results can provide a basis for disaster reduction work on the impact of earthquakes on secondary sudden environmental events.

[0037] Preferably, S230, constructing a correlation model of environmental impact factors and earthquake impact factors according to the impact of the environment and earthquake on the secondary sudden environmental event includes: S231, establishing a network structure of an association model, including decision goals and decision criteria of a control layer and interaction relationships between elements of a network layer; S232, using the correlation model to analyze and process the impact of the environment and earthquake on secondary sudden environmental events; S233, calculate the impact factor based on the analyzed environment and earthquake impact on secondary sudden environmental events; S234, calculate the risk level of secondary emergencies based on the impact factors.

[0038] In an embodiment of the present invention, if the value of the impact factor is large, the risk level of the secondary sudden environmental incident will also become larger. According to the actual situation, the impact factor is used to quantify the risk level of the secondary sudden environmental incident, and four levels of risk of secondary sudden environmental incidents are obtained, namely, extremely serious (level I), serious (level II), relatively serious (level III) and general (level IV).

[0039] Preferably, reference Figure 3 , S232, using the correlation model to analyze and process the impact of the environment and earthquake on secondary sudden environmental events, including: S2321, comparing the influencing parameters governing the secondary sudden environmental events under the influencing criteria of the environment and earthquake on the secondary sudden environmental events, and obtaining a judgment matrix; S2322, sorting the influence parameters in the judgment matrix according to the magnitude of influence; S2323, construct a limit supermatrix to represent the combined impact of environment and earthquake on secondary sudden environmental events in the association model.

[0040] The internal correlation relationship of the correlation model is analyzed and processed: first, the dominated elements (or element clusters) are compared pairwise under a certain criterion (sub-criterion) to obtain a judgment matrix, and the corresponding influence importance ranking is obtained through the AHP method; then, the ANP supermatrix is ​​established, and the weighted supermatrix is ​​obtained; finally, the weighted supermatrix is ​​limited, and the limit weight vector of the obtained limit supermatrix is ​​the comprehensive importance ranking vector (called absolute comprehensive weight) that contains the internal correlation relationship of the correlation model.

[0041] Preferably, it also includes constructing a loss function of the association model, specifically: Among them, n is the number of training samples, is the weight decay term, is the attenuation factor, is the objective weight, is the indicator function, j is the jth parameter, and i is the i-th influencing factor.

[0042] The loss function of a neural network is a function used to measure the gap between the output of a neural network model and the actual result. The loss function in a neural network is directly related to the degree of final convergence and performance of the model. The role of the loss function is to map the value of a random event or its related random variables to a non-negative real number to represent the "risk" or "loss" of the random event, which is used to measure the degree of deviation between the predicted value and the actual value. In machine learning, the loss function is part of the cost function, which is a type of objective function. By minimizing the loss function, the model can be solved and evaluated.

[0043] Preferably, the impact factor calculated based on the analyzed impact of the environment and earthquake on the secondary sudden environmental event includes: The impact factor is expressed as: in, is the relative comprehensive weight of the kth influencing parameter, is the absolute comprehensive weight of the i influencing parameters in the extreme supermatrix.

[0044] ‌Influencing factors can help quantify the risk of secondary disasters caused by earthquakes in the assessment of earthquake risks, provide a basis for risk management, and improve the ability to deal with secondary disasters caused by earthquakes. ‌Earthquake risk assessment is a complex process involving the consideration of multiple influencing factors. These influencing factors include the probability of earthquakes, the potential losses caused by earthquakes, and social and economic factors. By analyzing these influencing factors, the earthquake risk can be qualitatively and quantitatively assessed, thereby providing a scientific basis for decision makers to formulate effective disaster prevention and mitigation measures. ‌Earthquake secondary disaster risk prediction and assessment‌: By analyzing the risk influencing factors of earthquake secondary disasters, the losses caused by future earthquake secondary disaster events can be predicted and assessed. This includes considering factors such as the frequency and intensity of earthquakes, as well as possible secondary disasters. ‌The role of influencing factors in assessing earthquake risks is to help decision makers better understand the risks of secondary disasters caused by earthquakes through quantitative analysis, formulate corresponding prevention and response measures, and thus improve the ability and efficiency of society to fight against secondary disasters caused by earthquakes‌. In an embodiment of the present invention, the risk level of secondary sudden environmental events can be quantified by influencing factors, so as to better guide society in post-disaster rescue and reconstruction activities.

[0045] Example 2 An assessment system for the risk of sudden environmental events secondary to earthquakes, comprising: A data acquisition module, used to acquire environmental parameters and earthquake parameters; A correlation model building module, used to build a correlation model between environmental parameters and earthquake parameters; The risk assessment module is used to assess the risk of sudden environmental events secondary to earthquakes based on the association model.

[0046] Example 3 An electronic device includes: a processor and a memory, the memory is used to store computer program codes, the computer program codes include computer instructions, when the processor executes the computer instructions, the electronic device executes a method for assessing the risk of sudden environmental events secondary to earthquakes.

[0047] refer to Figure 4 , the electronic device 2 includes a processor 21, a memory 22, an input device 23, and an output device 24. The processor 21, the memory 22, the input device 23, and the output device 24 are coupled via a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present invention. It should be understood that in various embodiments of the present invention, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, through various interfaces, transmission lines, buses, etc.

[0048] The processor 21 may be one or more graphics processing units (GPUs). When the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group consisting of multiple GPUs, and the multiple processors are coupled to each other via one or more buses. Optionally, the processor may also be other types of processors, etc., which are not limited in the embodiments of the present invention.

[0049] The memory 22 can be used to store computer program instructions and various computer program codes including program codes for executing the scheme of the present invention. Optionally, the memory includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or portable read only memory (CD-ROM), which is used for related instructions and data.

[0050] The input device 23 is used to input data and / or signals, and the output device 24 is used to output data and / or signals. The output device 24 and the input device 23 may be independent devices or an integrated device.

[0051] The present invention combines multiple parameters that can affect earthquake secondary sudden environmental events, which can greatly improve processing efficiency, avoid the mutual influence of multiple parameters during simultaneous processing, resulting in inaccurate results, and reduce the data processing volume of the neural network, thereby improving data processing efficiency. The present invention sets an association model based on the influence of the parameters of the earthquake itself and the parameters of the earthquake-occurring environment on the earthquake secondary sudden environmental events, predicts the risk level of the earthquake secondary sudden environmental events through the association model, and guides rescue personnel to carry out post-disaster rescue and reconstruction work in a timely manner.

[0052] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for assessing the risk of sudden environmental events secondary to earthquakes. It is characterized in that include: Obtain environmental parameters and earthquake parameters; Constructing a correlation model between the environmental parameters and earthquake parameters; The risk of secondary sudden environmental events caused by earthquakes is assessed based on the association model.

2. According to the method for assessing the risk of sudden environmental events secondary to earthquakes as described in claim 1, It is characterized in that The step of constructing the correlation model between the environmental parameters and the earthquake parameters comprises: Merge multiple environmental parameters into environmental impact factors; Merge multiple earthquake parameters into earthquake impact factors; According to the influence of environment and earthquake on secondary sudden environmental events, a correlation model of the environmental influencing factors and earthquake influencing factors is constructed.

3. According to the method for assessing the risk of sudden environmental events secondary to earthquakes as described in claim 2, It is characterized in that The fusing of the multiple environmental parameters into environmental impact factors comprises: The environmental impact factor is expressed as: Among them, Q is the influence degree of environmental impact factors on environmental events, is the geological parameter, is the terrain parameter, are the building parameters, is the influence of geological parameters on Class A environmental events, is the influence of terrain parameters on type B environmental events, It is the influence degree of building parameters on Class C environmental events.

4. According to claim 3, a method for assessing the risk of sudden environmental events secondary to earthquakes, It is characterized in that Calculating the weights of the multiple environmental parameters includes: The weight of the earthquake impact factor is expressed as: in, is the weight of the jth environmental parameter, is the subjective weight of the jth environmental parameter obtained using the AHP method, is the objective weight of the jth environmental parameter obtained using the entropy weight method.

5. According to the method for assessing the risk of sudden environmental events secondary to earthquakes as described in claim 4, It is characterized in that The construction of the correlation model of the environmental impact factor and the earthquake impact factor according to the impact of the environment and the earthquake on the secondary sudden environmental event includes: Establish the network structure of the association model, including the decision-making objectives and decision-making criteria of the control layer and the interaction relationship between the elements and elements of the network layer; Use the correlation model to analyze and process the impact of environment and earthquake on secondary sudden environmental events; Calculate the impact factor based on the analyzed environment and earthquake impact on secondary sudden environmental events; The risk level of the secondary emergency is calculated based on the impact factor.

6. A method for assessing the risk of sudden environmental events secondary to earthquakes according to claim 5, It is characterized in that The analysis and processing of the impact of the environment and earthquake on the secondary sudden environmental events by using the correlation model includes: Under the influence criteria of environment and earthquake on secondary sudden environmental events, the influence parameters dominating the secondary sudden environmental events are compared to obtain the judgment matrix; Sorting the influencing parameters in the judgment matrix according to the magnitude of their influence; The extreme supermatrix is ​​constructed to represent the combined impact of environment and earthquake on secondary sudden environmental events in the association model.

7. The method for assessing the risk of sudden environmental events secondary to earthquakes according to claim 6, It is characterized in that It also includes constructing a loss function of the association model, specifically: Among them, n is the number of training samples, is the weight decay term, is the attenuation factor, is the objective weight, is the indicator function, j is the jth parameter, and i is the i-th influencing factor.

8. The method for assessing the risk of sudden environmental events secondary to earthquakes according to claim 6, It is characterized in that The impact factors calculated based on the analyzed environment and earthquake impact on secondary sudden environmental events include: The impact factor is expressed as: in, is the relative comprehensive weight of the kth influencing parameter, is the absolute comprehensive weight of the i influencing parameters in the extreme supermatrix.

9. An assessment system for the risk of sudden environmental events secondary to earthquakes. It is characterized in that include: A data acquisition module, used to acquire environmental parameters and earthquake parameters; A correlation model building module, used to build a correlation model of the environmental parameters and earthquake parameters; The risk assessment module is used to assess the risk of sudden environmental events secondary to earthquakes based on the association model.

10. An electronic device, It is characterized in that include: A processor and a memory, wherein the memory is used to store computer program codes, wherein the computer program codes include computer instructions. When the processor executes the computer instructions, the electronic device executes a method for assessing the risk of secondary sudden environmental events caused by earthquakes as described in any one of claims 1 to 8.

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