A system for analyzing the characteristics of medium-strong earthquake disasters

Abstract

The present invention relates to a system for analyzing the characteristics of medium and strong earthquake disasters, and relates to the technical field of earthquake disaster analysis. The system includes an earthquake information acquisition module and a post-disaster rescue analysis module. By acquiring multiple earthquake information through the earthquake information acquisition module, post-disaster rescue analysis can be quickly carried out based on the acquired earthquake information. On the one hand, it can realize rapid and effective post-disaster rescue guidance, reduce the loss of life and property after the earthquake. On the other hand, it can give guidance on post-disaster reconstruction and pre-earthquake defense, and do a good job in preventing the loss of life and property. Compared with the prior art, it has stronger practicability, can provide more accurate earthquake disaster analysis results, realize effective earthquake disaster characteristic analysis such as post-disaster rescue analysis, post-disaster reconstruction analysis and pre-earthquake defense, thereby improving the practicability and operability of emergency plans and earthquake emergency rescue action plans at all levels.

Description

Technical Field

[0001] The present invention relates to the technical field of earthquake disaster analysis, and particularly relates to a medium-strong earthquake disaster feature analysis system. Background Art

[0002] After a medium-strong earthquake (earthquake with a magnitude of 5.0 to 7.0) occurs, it usually brings casualties, causes damage to houses and infrastructure, and induces secondary disasters, resulting in losses of people's lives and property and damage to the ecological environment.

[0003] Analyzing the characteristics of medium-strong earthquake disasters helps to carry out targeted disaster risk prevention, earthquake emergency preparedness, emergency response, and recovery and reconstruction. It mainly includes reasonably optimizing land space planning, investigating and strengthening potential housing hazards, and treating geological disasters; improving the accuracy of the rapid assessment system, enhancing the practicability and operability of emergency plans at all levels and earthquake emergency rescue operation plans; assisting in improving the timeliness and accuracy of emergency decision-making during earthquakes, which has important theoretical and practical significance for reducing disaster losses.

[0004] There are two common ideas for analyzing the characteristics of earthquake disasters: one is to comprehensively analyze the characteristic phenomena such as intensity distribution, building damage, lifeline project damage, and secondary disasters based on first-hand on-site disaster investigation data; the other is to analyze the disaster damage from the perspective of earthquake disaster mechanisms and analyze the disaster characteristics in aspects such as earthquake engineering and geological disasters.

[0005] However, the current earthquake disaster analysis still has the problem of low practicability and operability of emergency plans at all levels of the government and earthquake emergency rescue operation plans caused by low accuracy analysis, and there is a lack of corresponding analysis systems. Summary of the Invention

[0006] The technical problem to be solved by this application is to provide a medium-strong earthquake disaster feature analysis system, which can provide an analysis system with stronger practicability, can provide more accurate earthquake disaster analysis results, and realize effective earthquake disaster feature analysis such as post-disaster rescue analysis, post-disaster reconstruction analysis, and pre-earthquake defense, thereby improving the practicability and operability of emergency plans at all levels and earthquake emergency rescue operation plans.

[0007] In one embodiment, a medium-strong earthquake disaster feature analysis system is provided, including an earthquake information acquisition module and a post-disaster rescue analysis module;

[0008] The earthquake information acquisition module includes a plurality of earthquake information acquisition units, and the plurality of earthquake information acquisition units are configured to acquire corresponding earthquake information;

[0009] The post-disaster rescue analysis module includes a plurality of post-disaster rescue analysis units, which are configured to obtain and display the corresponding rescue efficiency and give corresponding measure suggestions based on the obtained earthquake information.

[0010] In one embodiment, the earthquake information acquisition module includes an earthquake magnitude acquisition unit, a focal depth acquisition unit, a black box period duration acquisition unit, an exact death toll acquisition duration acquisition unit, a seismic intensity range acquisition unit, a major axis length of isoseismal line acquisition unit, an intensity range acquisition unit, a death rate by intensity acquisition unit, a cause of death acquisition unit, and a building damage characteristic acquisition unit, which are respectively used to obtain the earthquake magnitude, focal depth, black box period duration, exact death toll acquisition duration, seismic intensity range, major axis length of isoseismal line, intensity range, death rate by intensity, cause of personnel death, and building damage factors of this earthquake; the black box period duration refers to the duration from the earthquake occurrence to the first report of casualties in the disaster area; the exact death toll acquisition duration refers to the duration within a preset number error range to obtain the death toll reaching the actual death toll within the preset number error range; the cause of personnel death includes direct personnel death caused by building collapse due to ground motion and personnel death caused by secondary disasters; the building damage factors include direct factors and indirect factors of building damage, and the indirect factors include building structure type damage factors and building terrain location damage factors;

[0011] The earthquake information acquisition module further includes a communication restoration duration acquisition unit, a power restoration duration acquisition unit, and a traffic restoration duration acquisition unit; wherein, the communication restoration duration acquisition unit includes a preset main communication restoration duration acquisition subunit and an all communication restoration duration acquisition subunit, which are respectively used to obtain the preset main communication restoration duration and all communication restoration duration of this earthquake; the power restoration duration acquisition unit includes a preset main power restoration duration acquisition subunit and an all power restoration duration acquisition subunit, which are respectively used to obtain the preset main power restoration duration and all power restoration duration of this earthquake; the traffic restoration duration acquisition unit includes a preset main traffic restoration duration acquisition subunit and an all traffic restoration duration subunit, which are respectively used to obtain the preset main traffic restoration duration and all traffic restoration duration of this earthquake.

[0012] In one embodiment, the post-disaster rescue analysis module includes a first post-disaster rescue analysis unit, a second post-disaster rescue analysis unit, and a third post-disaster rescue analysis unit; the first post-disaster rescue analysis unit is used to obtain and display the first post-disaster rescue efficiency based on the obtained first earthquake information and give the first rescue suggestion, and the first earthquake information includes the duration of the black box period and the duration of the restoration of main communication; the second post-disaster rescue analysis unit is used to obtain and display the second post-disaster rescue efficiency based on the obtained second earthquake information and give the second rescue suggestion, and the second earthquake information includes the duration of the black box period, the duration of the restoration of main communication, the duration of the restoration of main power, and the duration of the restoration of main transportation; the third post-disaster rescue analysis unit is used to obtain and display the third post-disaster rescue efficiency based on the obtained third earthquake information and give suggestions on the post-disaster reconstruction method and disaster prevention measures, and the third earthquake information includes the duration of the black box period, the duration of the restoration of main communication, the duration of the restoration of main power, the duration of the restoration of main transportation, the duration of the restoration of all communication, the duration of the restoration of all power, the duration of the restoration of all transportation, the earthquake magnitude, the focal depth, the duration of obtaining the exact number of deaths, the felt range, the major axis length of the isoseismal line, the intensity range, the mortality rate of sub-intensities, the causes of personnel deaths, and the damage factors of buildings.

[0013] In one embodiment, obtaining and displaying the first post-disaster rescue efficiency based on the obtained first earthquake information and giving the first rescue suggestion includes:

[0014] Obtain the duration of the black box period and the duration of the restoration of main communication, and judge the relationship between the duration of the black box period and the confidence interval of the black box period and the relationship between the duration of the restoration of main communication and the confidence interval of the restoration of main communication; if the duration of the black box period is higher than the upper limit of the confidence interval of the black box period and the duration of the restoration of main communication is higher than the upper limit of the confidence interval of the restoration of main communication, then display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities, dispatch additional rescue personnel, and improve the measures for restoring main communication; if the duration of the black box period is higher than the upper limit of the confidence interval of the black box period and the duration of the restoration of main communication is not higher than the upper limit of the confidence interval of the restoration of main communication, then display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities and dispatch additional rescue personnel; if the duration of the black box period is lower than the lower limit of the confidence interval of the black box period, then display that the first post-disaster rescue efficiency is high and give suggestions on the need not to increase rescue facilities and dispatch additional rescue personnel; if the duration of the black box period is within the confidence interval of the black box period, then display that the first post-disaster rescue efficiency is moderate and give suggestions on the temporary need not to increase rescue facilities and dispatch additional rescue personnel.

[0015] The beneficial effects of the present invention are:

[0016] Due to including an earthquake information acquisition module and a post-disaster rescue analysis module, multiple earthquake information is acquired through the earthquake information acquisition module, so that post-disaster rescue analysis can be quickly carried out based on the acquired earthquake information. On the one hand, it can achieve rapid and effective post-disaster rescue guidance, reducing the loss of life and property after the earthquake. On the other hand, it can give guidance on post-disaster reconstruction and pre-earthquake defense, fundamentally doing a good job in preventing the loss of life and property. It has stronger practicability, can provide more accurate earthquake damage analysis results, realize effective earthquake post-disaster rescue analysis, post-disaster reconstruction analysis, and pre-earthquake defense and other earthquake damage feature analyses, thereby improving the practicability and operability of emergency response plans and earthquake emergency rescue operation plans at all levels. Brief Description of the Drawings

[0017] Figure 1 is the structural block diagram of the first embodiment of the strong earthquake damage feature analysis system in this application;

[0018] Figure 2 is the schematic flow chart of the acquisition method of the first clustering analysis model in an embodiment of this application;

[0019] Figure 3 is the schematic flow chart of the acquisition method of the second clustering analysis model in an embodiment of this application;

[0020] Figure 4 is the structural block diagram of the second embodiment of the strong earthquake damage feature analysis system in this application;

[0021] Figure 5 is the structural block diagram of the third embodiment of the strong earthquake damage feature analysis system in this application.

[0022] In the illustration: 01, earthquake information acquisition module, 02, post-disaster rescue analysis module, 03, earthquake spatial distribution display module, 04, earthquake cause analysis module. Detailed Description of the Embodiments

[0023] The present invention will be further described in detail below in conjunction with the drawings through specific embodiments. Similar elements in different embodiments are labeled with related similar element numbers. In the following embodiments, many detailed descriptions are provided to make this application better understood. However, those skilled in the art can easily recognize that some of these features can be omitted in different situations, or can be replaced by other elements, materials, or methods. In some cases, some operations related to this application are not shown or described in the specification, which is to avoid the core part of this application being overwhelmed by excessive descriptions. For those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations based on the description in the specification and the general technical knowledge in the art.

[0024] In addition, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can also be reordered or adjusted in a manner obvious to those skilled in the art. Therefore, the various sequences in the specification and drawings are only for clearly describing a certain embodiment and do not mean a necessary sequence, unless it is stated that a certain sequence must be followed.

[0025] The serial numbers assigned to the components herein, such as "first", "second", etc., are only used to distinguish the objects described and do not have any sequential or technical meaning.

[0026] For the convenience of explaining the inventive concept of the present application, the following briefly describes the earthquake disaster analysis technology.

[0027] In the current analysis of earthquake disaster characteristics, it is usually analyzed based on earthquake geological conditions, ground motion parameters, building structures and seismic performance, population and socioeconomic factors, and secondary disasters. However, the analysis dimension is more biased towards individual characteristic analysis to reflect factor characteristics. It is difficult to achieve effective earthquake post-disaster rescue analysis, post-disaster reconstruction analysis, and pre-earthquake defense and other earthquake disaster characteristic analyses through comprehensive analysis, and it is also difficult to obtain effective comprehensive guidance. However, whether it is earthquake post-disaster rescue, post-disaster reconstruction, or defense, comprehensive guidance is extremely important. First of all, for post-disaster rescue, if timely post-disaster rescue guidance can be obtained, it will play a very important role in saving lives and property. Post-disaster reconstruction and pre-earthquake defense are even more fundamental to reducing life and property losses. However, how to process various influencing factors and obtain accurate comprehensive guidance has always been a technical difficulty in this field.

[0028] In view of this, the present application provides a medium-strong earthquake disaster characteristic analysis system, including an earthquake information acquisition module and a post-disaster rescue analysis module. By acquiring multiple earthquake information through the earthquake information acquisition module, post-disaster rescue analysis can be quickly carried out based on the acquired earthquake information. On the one hand, it realizes fast and effective post-disaster rescue guidance, reduces life and property losses after the earthquake, and on the other hand, gives post-disaster reconstruction and pre-earthquake defense guidance, fundamentally doing a good job in preventing life and property losses.

[0029] The medium-strong earthquake disaster characteristic analysis system can be implemented based on a computer system. The computer system can store pre-set associated information and processing algorithm programs, and combine the acquired earthquake information to manage the corresponding information and processing algorithms, so as to achieve fast and effective comprehensive guidance and provide a basis for post-disaster rescue and reconstruction.

[0030] A medium-strong earthquake disaster characteristic analysis system provided by an embodiment of the present application, please refer to Figure 1, it may include an earthquake information acquisition module 01 and a post-disaster rescue analysis module 02. Among them, the earthquake information acquisition module 01 includes multiple earthquake information acquisition units, and the multiple earthquake information acquisition units are configured to acquire corresponding earthquake information. The post-disaster rescue analysis module 02 includes multiple post-disaster rescue analysis units, and the multiple post-disaster rescue analysis units are configured to obtain and display the corresponding rescue efficiency and give corresponding measure suggestions based on the acquired earthquake information.

[0031] In one embodiment, the earthquake information acquisition module 01 includes an earthquake magnitude acquisition unit, a focal depth acquisition unit, a black box period duration acquisition unit, an exact death toll acquisition duration acquisition unit, a felt area acquisition unit, an isoseismal major axis acquisition unit, an intensity range acquisition unit, a death rate by sub-intensity acquisition unit, a cause of death acquisition unit, and a building damage feature acquisition unit, which are respectively used to acquire the earthquake magnitude, focal depth, black box period duration, exact death toll acquisition duration, felt area, isoseismal major axis, intensity range, death rate by sub-intensity, cause of personnel death, and building damage factors of this earthquake.

[0032] The black box period duration refers to the duration from the occurrence of the earthquake to the first report of casualties in the disaster area. The exact death toll acquisition duration refers to the duration within a preset number error range to obtain a death toll that is basically close to the actual number, that is, the duration to obtain a death toll within the preset number error range of the actual death toll. The causes of personnel death include direct personnel deaths caused by the collapse of buildings due to ground motion and personnel deaths caused by secondary disasters. The building damage factors include direct and indirect factors of building damage. Among them, the indirect factors include building structure type damage factors and building terrain location damage factors.

[0033] To accurately master and estimate an earthquake disaster in the shortest time is the basis for making precise decisions and implementing efficient rescue during post-earthquake rescue. The earlier the first casualty situation is reported, the clearer the outside world will understand the earthquake disaster situation, and then the earlier the rescue personnel and rescue supplies will enter the disaster area, and the disorderly state of the disaster area can be restored as soon as possible. On the contrary, the later the reporting time, the less the outside world knows about the actual situation of the disaster area, it is difficult for the earthquake relief headquarters to make up its mind to dispatch sufficient rescue personnel and provide abundant rescue supplies, the external support for the disaster area is insufficient, and the disorderly state will be prolonged. Therefore, the duration of the black box period can indirectly characterize the efficiency of emergency response.

[0034] However, the applicant found in the research that, on the one hand, how to quantify and specify the efficiency of this emergency response is a problem that has not been solved yet, and there is a lack of scientific reference standards. On the other hand, the duration of the black box period will also be affected by other factors. For example, if communication cannot be restored after an earthquake, there will also be a situation where casualty situations cannot be transmitted in time, which will also affect the efficiency of emergency response.

[0035] In view of this, in an embodiment of the present application, the earthquake information acquisition module 01 further includes a communication recovery duration acquisition unit, and the communication recovery duration acquisition unit includes a preset main communication recovery duration acquisition subunit and an all communication recovery duration acquisition subunit, which are respectively used to acquire the preset main communication recovery duration and all communication recovery durations of this earthquake. The post-disaster rescue analysis module 02 includes a first post-disaster rescue analysis unit, and the first post-disaster rescue analysis unit is used to acquire and display the first post-disaster rescue efficiency and give the first rescue suggestion based on the acquired first earthquake information. Among them, the first earthquake information includes the black box period duration and the main communication recovery duration.

[0036] In order to quantify and specifically evaluate the efficiency of emergency response, in an embodiment, a confidence interval of the black box period of moderate and strong earthquake disasters is set. If the black box period duration is higher than the upper limit of the black box period confidence interval, it indicates that the first post-disaster rescue efficiency is lower. If the black box period duration is lower than the lower limit of the black box period confidence interval, it indicates that the first post-disaster rescue efficiency is higher. In an embodiment, through the relevant data of 12 earthquakes with casualties in the past 30 years, the 95% confidence interval of the black box period duration of moderate and strong earthquakes can be obtained as [1.4, 2.3] hours. Then, if the black box period duration is higher than 2.3 hours, it indicates that the first post-disaster rescue efficiency is lower. If the black box period duration is lower than 1.4 hours, it indicates that the first post-disaster rescue efficiency is higher. In view of the influence of the communication recovery problem after the earthquake on the black box period duration, a main communication recovery confidence interval is set. Since it is difficult to quickly restore all communications after the earthquake, the main communications that need to be restored can be preset on the premise of ensuring post-earthquake rescue. For example, the restoration of the main communication link can be ensured by quickly establishing a temporary communication base station. If the main communication recovery duration is higher than the upper limit of the main communication recovery confidence interval, it indicates that the restoration of communication may affect the black box period duration. Those skilled in the art can understand that the main communication here is preset according to the actual local needs. Then, in an embodiment, acquiring and displaying the first post-disaster rescue efficiency and giving the first rescue suggestion based on the acquired first earthquake information includes:

[0037] Obtain the duration of the black box period and the duration of the restoration of the main communication, and determine the relationship between the duration of the black box period and the confidence interval of the black box period, and the relationship between the duration of the restoration of the main communication and the confidence interval of the restoration of the main communication; if the duration of the black box period is higher than the upper limit of the confidence interval of the black box period, and the duration of the restoration of the main communication is higher than the upper limit of the confidence interval of the restoration of the main communication, it indicates that the current rescue efficiency is low and may be affected by the restoration of the main communication. Then display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities, dispatch more rescue personnel, and improve the measures for restoring the main communication, so as to provide more sufficient external support and reduce the probability of the prolongation of the disorderly state. If the duration of the black box period is higher than the upper limit of the confidence interval of the black box period, and the duration of the restoration of the main communication is not higher than the upper limit of the confidence interval of the restoration of the main communication, display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities and dispatch more rescue personnel. If the duration of the black box period is lower than the lower limit of the confidence interval of the black box period, display that the first post-disaster rescue efficiency is high and give suggestions on the need not to increase rescue facilities and dispatch more rescue personnel; if the duration of the black box period is within the confidence interval of the black box period, display that the first post-disaster rescue efficiency is moderate and give suggestions on the temporary need not to increase rescue facilities and dispatch more rescue personnel.

[0038] Through the above specific embodiment solutions, on the one hand, through the setting of the two confidence intervals, it is convenient to perform data processing on the influencing factors and provide a reference benchmark. On the other hand, it can accurately master and estimate the earthquake disaster in the first time, and provide a basis for making accurate decisions and implementing efficient rescue for post-earthquake rescue in the first time, thereby improving the practicability and operability of the emergency plans at all levels and the earthquake emergency rescue operation plans.

[0039] The earthquake damage conditions of lifeline projects such as communication, power, and transportation are related to the efficiency of rescue during the earthquake relief period, and the feasibility and effectiveness of the evacuation of the disaster victims, the restoration timeliness of basic living communication, power, and transportation facilities in the disaster area during the transition period, as well as the living supplies in the disaster area, and the scope and degree of reconstruction in the post-disaster reconstruction period. With the progress of post-earthquake rescue, the restoration of power and transportation also has a great impact on the efficiency of emergency response.

[0040] In view of this, in one embodiment, the earthquake information acquisition module 01 further includes a power restoration duration acquisition unit and a traffic restoration duration acquisition unit; wherein, the power restoration duration acquisition unit includes a preset main power restoration duration acquisition subunit and an all-power restoration duration acquisition subunit, which are respectively used to acquire the preset main power restoration duration and all-power restoration duration of this earthquake; the traffic restoration duration acquisition unit includes a preset main traffic restoration duration acquisition subunit and an all-traffic restoration duration acquisition subunit, which are respectively used to acquire the preset main traffic restoration duration and all-traffic restoration duration of this earthquake. The post-disaster rescue analysis module 02 includes a second post-disaster rescue analysis unit, and this second post-disaster rescue analysis unit is used to acquire and display the second post-disaster rescue efficiency and give a second rescue suggestion based on the acquired second earthquake information. Among them, the second earthquake information includes the black box period duration, the main communication restoration duration, the main power restoration duration, and the main traffic restoration duration. However, how to comprehensively process the data considering various influencing factors in the second earthquake information and obtain accurate comprehensive guidance is also a technical difficulty in this field.

[0041] In view of this, in one embodiment, the present application provides a method for acquiring and displaying the second post-disaster rescue efficiency and giving a second rescue suggestion based on the acquired second earthquake information, including: performing a first clustering analysis based on the acquired second earthquake information to obtain the second post-disaster rescue efficiency and the second rescue suggestion, including: inputting the second earthquake information after data preprocessing into a first clustering analysis model to obtain the second post-disaster rescue efficiency and the second rescue suggestion.

[0042] In one embodiment set, please refer to Figure 2 , the method for obtaining the first clustering analysis model includes:

[0043] Step S10, performing standardized data preprocessing on the second earthquake information in each historical earthquake information.

[0044] Through standardized data preprocessing, the data can be transformed into a standard normal distribution with a mean of 0 and a standard deviation of 1, which helps to improve the performance and stability of the clustering algorithm.

[0045] Step S20, forming a first data set from the groups of second earthquake information after standardized data preprocessing.

[0046] In one embodiment set, the first data set can be expressed as:

[0047]

[0048] Among them, X represents the first data set, Let \(x\) represent the data item, \(j\) represent the index of the data item in the second seismic information after standardized data preprocessing, \(J\) represent the total number of data items in the second seismic information. Here, \(J = 4\) and \(1\leq j\leq J\); \(i\) represents the index of each historical earthquake, \(I\) represents the total number of historical earthquakes, and \(1\leq i\leq I\).

[0049] Step S30: Determine the number of clusters and initialize the cluster centers.

[0050] In some embodiments, the number of clusters can be determined by methods such as the elbow method and the silhouette coefficient method. Since determining the number of clusters by the elbow method and the silhouette coefficient method is a prior art method, it will not be elaborated here.

[0051] Based on the determined number of clusters \(K\), \(K\) groups of the second seismic information can be randomly selected from the first dataset as the initial cluster centers.

[0052] Step S40: For each data point in the first dataset, calculate its membership degree to any one of the clusters. The membership degrees of all data points form a membership degree matrix; update the cluster centers according to the membership degree matrix and the data points; continuously update the membership degree matrix and the cluster centers until convergence to obtain a preliminary first clustering analysis model.

[0053] For each data point in the first dataset (that is, each group of the second seismic information), calculate its Euclidean distance from the \(K\) cluster centers, which can be expressed as:

[0054]

[0055] Where represents the Euclidean distance from the data point to the cluster center , \(m\) represents the index of the cluster center, \(1\leq m\leq K\), represents the \(j\)-th eigenvalue of the data point , represents the \(j\)-th eigenvalue of the cluster center .

[0056] Then calculate the membership degree of any data point to any cluster center , which can be expressed as:

[0057]

[0058] Where represents the membership degree, \(k\) is the index of the cluster center, \(1\leq k\leq K\), represents the Euclidean distance from the data point to the cluster center , and \(n\) represents the fuzzy weighting exponent, usually \(n = 2\).

[0059] In this way, the membership matrix can be obtained. Then, the cluster center is updated according to the membership matrix and the data points. In this way, the membership matrix and the cluster center are continuously updated until convergence, and a preliminary first cluster analysis model can be obtained.

[0060] Step S50 , analyzing each cluster in the clustering result, and marking the second post-disaster rescue efficiency and the second rescue suggestion of each category, to obtain a final first cluster analysis model.

[0061] In one embodiment, the second post-disaster rescue efficiency and the second rescue suggestion of each category can be marked based on the relationship between each earthquake information and its corresponding confidence interval in the second earthquake information, and the mutual influence relationship between each earthquake information, so as to provide further post-disaster rescue guidance. For example, the clustering result reflects the overall rescue response speed: if the clustering analysis result shows that the black box period is lower than the lower limit of its confidence interval, it means that the casualties in the disaster area can be obtained quickly after the earthquake, which indicates that the early emergency response mechanism is more sensitive, with efficient information collection channels and fast-response rescue teams. If the restoration time of major communications, electricity and transportation is also lower than the lower limit of its confidence interval, it means that the overall rescue efficiency is high, the coordination and cooperation between departments is good, the rescue work can be carried out quickly, and the key infrastructure can be restored in a short time, which provides a strong guarantee for subsequent rescue operations. If the clustering analysis classifies some areas into one category, the black box period is shorter, but the communication, electricity or transportation restoration time is longer, which means that the area has advantages in information collection, but there are deficiencies in infrastructure repair, which may be a lack of professional repair teams or materials and equipment. On the contrary, if the black box period is long and the other recovery periods are short, there may be obstacles in the initial information transmission, such as serious damage to communication equipment or poor information transmission channels, but in subsequent rescue operations, the ability to recover infrastructure is strong. By comparing the clustering results of different disaster areas or different time periods in the same disaster area, we can find out which areas or stages have higher rescue efficiency and which have problems. For example, compared with other areas, the traffic recovery time in a certain area is significantly longer. After analysis, it may be because the road terrain in the area is complex and large rescue equipment is difficult to enter. This provides a basis for the subsequent targeted optimization of rescue plans.

[0062] Regarding rescue suggestions, in terms of the duration of the black box period: Establish diversified information collection channels. In addition to relying on professional rescue teams and local government departments to report disasters, we can also make full use of social media, drone aerial photography, satellite remote sensing and other technical means to obtain real-time information about the disaster area in a timely manner and shorten the black box period. Strengthen publicity and education for the people in the disaster area, improve their awareness of self-rescue and mutual rescue and their ability to report information, and encourage them to promptly transmit disaster information to the outside world through various means after the earthquake.

[0063] Regarding the communication restoration duration: Reserve emergency communication equipment and supplies in advance, such as satellite phones, portable base stations, etc., and ensure that these devices can be quickly put into use after the earthquake. At the same time, strengthen the seismic reinforcement of communication infrastructure to improve its anti-destruction ability during the earthquake. Establish a professional communication repair team, strengthen training and drills, and improve their repair ability in complex environments. After the earthquake, give priority to ensuring the smooth communication of important places such as the rescue command center, hospitals, and shelters.

[0064] Regarding the power restoration duration: Develop a power emergency guarantee plan to clarify which important facilities should have their power supply restored first after disasters such as earthquakes, such as hospitals, fire departments, and water supply pumping stations. At the same time, reasonably allocate power repair resources to improve the repair efficiency. Promote the use of distributed power generation technologies and energy storage devices, such as small wind turbines, solar power generation devices, mobile power supply vehicles, etc., to provide temporary power supply for the disaster area before the main power grid is restored to meet the basic living and rescue needs.

[0065] Regarding the traffic restoration duration: Strengthen the seismic design and maintenance of traffic infrastructure to improve the seismic resistance of roads, bridges, etc. In earthquake-prone areas, plan emergency channels and alternative routes in advance to ensure that rescue vehicles and supplies can enter the disaster area smoothly when the main traffic lines are blocked. Form a professional traffic emergency rescue team, equipped with sufficient large-scale obstacle clearing equipment and construction machinery, such as bulldozers, loaders, cranes, etc. After the earthquake, quickly carry out road obstacle clearing and repair work. At the same time, strengthen cooperation with forces such as the army and armed police to jointly ensure smooth traffic.

[0066] In one embodiment, the post-disaster rescue analysis module further includes a third post-disaster rescue analysis unit. The third post-disaster rescue analysis unit is used to obtain and display the third post-disaster rescue efficiency based on the obtained third earthquake information and give suggestions on post-disaster reconstruction methods and disaster prevention measures. Among them, the third earthquake information includes the duration of the black box period, the main communication restoration duration, the main power restoration duration, the main traffic restoration duration, the total communication restoration duration, the total power restoration duration, the total traffic restoration duration, the earthquake magnitude, the focal depth, the duration of obtaining the exact number of deaths, the felt range, the major axis length of the isoseismal line, the intensity range, the mortality rate by sub-intensity, the causes of personnel deaths, and the destruction factors of buildings.

[0067] The number of casualties, especially the number of deaths, is an important reference index for starting the earthquake emergency response and determining the input of disaster relief resources. The acquisition of the number of casualties after an earthquake is a gradual process. Research and practice have shown that an understanding of aspects such as the time series of earthquake disasters can be obtained by analyzing the process of obtaining the number of casualties over time.

[0068] The seismic waves generated after an earthquake bring ground vibrations, and these vibrations are felt by people. The spatial range within which these vibrations can be felt by people is called the felt range. The felt vibrations vary in intensity, depending on the strength of the physical seismic vibrations and also on people's subjective perceptions. This range represents the maximum spatial extent of the impact of the earthquake. It is used to target the directly affected population and provide targeted guidance and publicity for self-help and mutual rescue, as well as to provide actual data.

[0069] The major axis direction of the isoseismal line is the combined effect of ground motion and source characteristics, and can be described in terms of geographical azimuths such as "north-south, north-northeast, northeast, north-northeast, north-northwest, northwest, north-northwest, west-east".

[0070] The major axis distance refers to the distance between the two farthest points on the 6-degree isoseismal line. In addition to the traditional significance of helping to rationally layout important facilities and buildings, taking effective earthquake-resistant measures, and reducing losses caused by earthquake disasters, this distance indicator can also quickly determine that there is no destructive loss beyond the straight-line distance from the epicenter, which is relatively accurate and convenient. Based on the relevant data of 27 earthquakes in the past 20 years, the maximum major axis value for earthquakes of magnitude 5.0 - 5.9 is 100 kilometers, for earthquakes of magnitude 6.0 - 6.9 is 207 kilometers, and for earthquakes of magnitude 7.0 - 7.9 is 381 kilometers.

[0071] The intensity range refers to the area of the region with an intensity of 6 degrees and above. This range is the concentrated area where the earthquake causes substantial damage to the ecological and social environment, is the area where rescue resources are concentratedly deployed, and is an important indicator for judging the scale of earthquake damage. For earthquakes of magnitude 5.0 - 5.3, the maximum intensity is usually 6 degrees. For earthquakes of magnitude 5.4 - 5.9, the maximum intensity is usually 7 degrees. For earthquakes of magnitude 6.0 - 6.4, the maximum intensity is usually 8 degrees. For earthquakes of magnitude 6.5 - 7.0, the maximum intensity is usually 9 degrees.

[0072] The most core aspect of life losses lies in the deaths of people caused by the earthquake. The mortality rate by intensity is the proportion of the number of deaths at that intensity to the total number of people within that intensity range, and is related to the maximum intensity, intensity range, total population in the intensity area, and the number of deaths in that intensity area.

[0073] The applicant found in the research that in the current analysis of the causes of deaths of people, more attention is paid to analyzing the causes of deaths related to the earthquake, such as determining whether death is caused by building collapse and being injured or buried and suffocated, or other earthquake-related reasons. However, this analysis of the causes of death makes it difficult to combine the influence of geological factors for analysis, thus making it difficult to obtain more accurate suggestions for post-disaster reconstruction from geological influencing factors.

[0074] In view of this, in the embodiments of the present application, the causes of human deaths include direct human deaths caused by the collapse of buildings due to ground motion and human deaths caused by secondary disasters. The direct human deaths caused by secondary disasters may include fires, floods, landslides, debris flows, etc. In this way, a more comprehensive analysis of the causes of death can take into account geological influencing factors, so that more accurate suggestions for post-disaster reconstruction methods can be obtained.

[0075] This method is mainly used for the characteristic analysis of the number of deaths and the causes of death. The main contribution lies in providing a method for quickly and conveniently estimating the number of human deaths and an analysis method for the causes of death. From the perspective of the causes of life losses, the deaths caused by earthquakes are mainly direct human deaths caused by the collapse of buildings due to ground motion and human deaths caused by secondary disasters. Considering the referenceability of historical data, only the human deaths caused by secondary disasters are discussed in this method.

[0076] The analysis of the building damage characteristics of a single earthquake mainly considers the following factors: First, the building structure types and quantity ratios in each intensity area; Second, the corresponding seismic fortification intensities in each intensity area and the ratio of the fortification intensities (or the ratio of self-built houses in rural areas); Third, the distribution locations of houses above intensity VII, especially the ratio of houses distributed on the gentle slopes of mountainsides and at the foot of mountains in mountainous areas; Fourth, the building damage grades and situations refer to the "Standard for the Classification of Building Earthquake Damage Grades" and "Part 4 of the Fieldwork in Earthquake Areas: Assessment of Direct Disaster Losses".

[0077] The applicant found in the research that the above-mentioned current building damage analysis focuses more on the degree and direct causes of building damage (i.e., microscopic factors, such as impact, collapse, etc.), and does not analyze the indirect causes of building damage (i.e., macroscopic factors, such as terrain location, structural type, etc.). However, in current earthquakes, for example, in a certain seismic intensity VI area, the main building structural types are frame (about 20%), brick-concrete (about 20%), brick-wood (about 2%), penetrated wood (about 55%), and earth / stone-wood structure (about 3%). According to relevant regulations, the corresponding seismic fortification intensity should be VIII degree and IX degree, but most rural self-built houses are not fortified, resulting in a low proportion of overall fortified houses. In addition, most of the VI degree area is mountainous valley area, with a relatively high proportion of mountainous area and a relatively low proportion of flat land at the foot of the mountain. Most houses are built in the flat area at the foot of the mountain or on the mountainside. The houses in the IX degree and VIII degree areas of this earthquake were damaged more severely, mainly manifested as the walls of most unfortified earth / stone-wood structure, brick-wood structure, penetrated wood structure and other rural houses cracked, the roof tiles slipped, collapsed or partially collapsed, the load-bearing members of brick-concrete and frame structures fractured, deformed, and the walls cracked, and some showed partial collapse, etc. The damage to houses in the VII degree and VI degree areas mainly focused on unfortified rural houses, mostly manifested as partial collapse, wall cracking, roof tile slipping, etc. According to the above analysis, macroscopic factors such as terrain location and structural type of building damage play an important guiding role in the way of post-disaster reconstruction.

[0078] In view of this, in the embodiments of the present application, the damage factors of the building include the direct factors and indirect factors of building damage. Among them, the indirect factors include the building structure type damage factor and the building terrain location damage factor. In this way, the macroscopic influencing factors can be considered based on a more comprehensive analysis of building damage factors, so as to obtain more accurate suggestions for post-disaster reconstruction methods.

[0079] At the same time, to solve the technical problem of how to comprehensively process various influencing factors in the third earthquake information and obtain accurate comprehensive guidance, in the embodiments of the present application, a method for obtaining and displaying the third post-disaster rescue efficiency based on the obtained third earthquake information and giving suggestions on post-disaster reconstruction methods and disaster prevention measures is provided, including: performing a second clustering analysis based on the obtained third earthquake information, obtaining the third post-disaster rescue efficiency and giving suggestions on post-disaster reconstruction methods and disaster prevention measures, including: preprocessing the third earthquake information and then inputting it into the second clustering analysis model to obtain the third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures.

[0080] In one embodiment, please refer to Figure 3 , the method for obtaining the second clustering analysis model includes:

[0081] Step S100, preprocessing the third earthquake information in each historical earthquake information, including data standardization.

[0082] Among them, the black box period duration, main communication restoration duration, main power restoration duration, main traffic restoration duration, all communication restoration duration, all power restoration duration, all traffic restoration duration, and exact death toll acquisition duration in the third earthquake information are subjected to standardized data preprocessing. After discretizing the earthquake magnitude, focal depth, earthquake intensity range, intensity range, and mortality rate by intensity into different intervals, one-hot encoding processing is performed. After classifying the isoseismal major axis, causes of personnel deaths, and building damage factors into different categories, one-hot encoding processing is performed.

[0083] Step S200: The groups of third earthquake information after data preprocessing are combined to form a second data set.

[0084] Step S300: Each data point in the second data set is used as a node, and the similarity between any two nodes is calculated to obtain the similarity matrix of all nodes.

[0085] In one embodiment, a Gaussian similarity function can be used to calculate the similarity, thereby obtaining the similarity matrix of all nodes.

[0086] Step S400: Based on the similarity matrix, a weighted undirected graph G(V, E) is constructed. Where V represents nodes, and the weight of edge E is the similarity between the corresponding nodes.

[0087] If the similarity between two samples is high, then the edge weight between them is large, indicating that these two samples are closely connected in the graph.

[0088] Step S500: Obtain the degree matrix of the similarity matrix, and calculate the Laplacian matrix of the weighted undirected graph based on the similarity matrix and the degree matrix; perform eigenvalue decomposition on the Laplacian matrix to obtain eigenvalues and eigenvectors.

[0089] For a given similarity matrix, its degree matrix is a diagonal matrix, and the elements on the diagonal of this diagonal matrix are equal to the sum of the elements in the corresponding row of the similarity matrix. Among them, calculating the Laplacian matrix of the weighted undirected graph based on the similarity matrix and the degree matrix can be expressed as:

[0090]

[0091] Where L represents the Laplacian matrix, D represents the degree matrix, and W represents the similarity matrix.

[0092] Step S600: Select the eigenvectors corresponding to the first preset number of clustering numbers with the smallest eigenvalues as the new feature representation.

[0093] The determination of the number of clusters can refer to the method for determining the number of clusters in step S30, which will not be elaborated here. The eigenvectors of the top preset number of clusters with the smallest eigenvalues contain the main clustering information of the data, and they can be used as the new feature representation of the samples.

[0094] Step S700: Cluster the new feature representation to obtain a preliminary second clustering analysis model including the preset number of clusters.

[0095] In one embodiment, the traditional K-means clustering algorithm can be used to cluster the new features to obtain a preliminary second clustering analysis model including the preset number of clusters.

[0096] Step S800: Analyze each cluster in the clustering result, and label the third post-disaster rescue efficiency, post-disaster reconstruction method, and disaster prevention measure suggestions for each category to obtain the final second clustering analysis model.

[0097] In one embodiment, the relationship between the duration and its corresponding confidence interval can be obtained based on the black box period duration, the main communication restoration duration, the main power restoration duration, the main transportation restoration duration, the full communication restoration duration, the full power restoration duration, the full transportation restoration duration, and the exact number of deaths in the third earthquake information. The relationship between the earthquake magnitude, the focal depth, the felt range, the intensity range, and the mortality rate of sub-intensities and their corresponding division intervals, etc. The relationship between the major axis length of the isoseismal line, the causes of human deaths, and the building damage factors and their corresponding classifications, as well as the mutual influence relationship between each earthquake information, can be used to label each category. Based on this, further suggestions for the third post-disaster rescue efficiency, post-disaster reconstruction methods, and disaster prevention measures can be given. For example, in the analysis of rescue efficiency, if the earthquake magnitude in a certain cluster is relatively high, but the black box period duration and the duration for obtaining the exact number of deaths are relatively short, and the main communication, power, and transportation restoration durations are also relatively short, it indicates that the region can quickly activate the emergency response mechanism after the earthquake, efficiently collect information and carry out rescue work, and the rescue efficiency is relatively high. This may benefit from a perfect emergency plan, sufficient emergency resource reserves, and a well-trained rescue team. If the main communication, power, and transportation restoration durations in a certain cluster are significantly shorter than those in other clusters, while the earthquake intensity indicators such as magnitude and focal depth are similar, it indicates that the region performs well in the seismic performance of infrastructure and the post-disaster repair ability. It may be because high-quality seismic materials and advanced seismic designs are adopted during the construction process, and at the same time, there are professional repair teams and sufficient material equipment. When the clustering results show a wide felt range, a large major axis length of the isoseismal line, a large intensity range, a relatively high mortality rate of sub-intensities, and relatively long restoration durations for each item, it indicates that the earthquake disaster situation in this region is complex and the rescue work faces great challenges. It may be due to the strong destructive power of the earthquake, resulting in serious building damage and a large number of casualties, increasing the difficulty of rescue and restoration work. If the black box period duration and the duration for obtaining the exact number of deaths are relatively long in a cluster, while other indicators are similar to those in other clusters, it indicates that there are deficiencies in the collection and transmission of earthquake information in this region. It may be because the communication facilities are severely damaged, the information transmission channels are blocked, or the on-site situation is complex, resulting in the disaster situation information not being able to be timely and accurately fed back to the rescue command department, thus affecting the timeliness of rescue decision-making and actions.

[0098] Regarding the suggestions on post-disaster reconstruction methods, for areas where infrastructure restoration is difficult as found in cluster analysis, it is necessary to strengthen the reconstruction of infrastructure such as transportation, communication, and power. Adopt higher-standard seismic design codes to ensure that newly constructed facilities have stronger seismic resistance. For example, in road construction, add seismic supports and buffer structures; in the construction of communication base stations, use seismically reinforced towers and backup power systems. According to the clustering results of building damage factors, take corresponding repair or reconstruction measures for buildings with different degrees and types of damage. For buildings with minor damage, they can be strengthened and repaired; for severely damaged buildings, they should be redesigned and built in accordance with seismic requirements. At the same time, for the building damage factors caused by structural type reasons, the supervision and management of building construction quality should be strengthened to ensure that newly built buildings meet seismic standards. For the building damage factors caused by topographical location reasons, construction in unfavorable terrains should be avoided. For the factors causing deaths due to secondary disasters such as landslides and debris flows, during the post-disaster reconstruction process, attention should be paid to the restoration of the ecological environment, and measures such as afforestation, land reclamation, and river regulation should be taken to restore ecological balance and reduce the risk of secondary disasters.

[0099] Regarding the suggestions on disaster prevention measures, by establishing a dense earthquake monitoring network, improve the accuracy and timeliness of earthquake monitoring. Utilize modern information technologies such as the Internet of Things and big data to achieve rapid transmission and processing of earthquake information, providing more accurate data support for earthquake early warning. At the same time, strengthen the construction and popularization of the earthquake early warning system so that the public can obtain a certain early warning time before the arrival of seismic waves and take emergency avoidance measures. Strictly implement the building seismic design code, strengthen the seismic review and acceptance work of newly built buildings to ensure that buildings meet seismic requirements during the design and construction stages. For old buildings, conduct seismic performance evaluation and reinforcement transformation to improve their seismic resistance. In addition, promote the use of new seismic building materials and technologies such as shock-absorbing bearings and seismic isolation layers to enhance the seismic performance of buildings. According to the seismic risk levels and population distribution in different regions, reasonably plan the layout and reserve scale of material reserve points. Regularly inspect, update, and supplement emergency supplies to ensure that the quality and quantity of supplies meet emergency needs. At the same time, establish a material allocation mechanism to quickly transport supplies to the disaster area after an earthquake to ensure the basic living of affected people and the smooth progress of rescue work.

[0100] In one embodiment, the earthquake information acquisition module 01 further includes an epicenter position acquisition unit for acquiring the epicenter position of a local earthquake. Please refer to Figure 4, the system further includes an earthquake spatial distribution display module 03, configured to draw and display an earthquake spatial distribution map based on the acquired fourth earthquake information, where the fourth earthquake information includes the epicenter location, focal depth, felt range, major axis of isoseismal line, intensity range, and maximum intensity. The earthquake spatial distribution display map includes the display of the epicenter location, focal depth, felt range curve, major axis of isoseismal line, intensity range curve, and maximum intensity of the current earthquake.

[0101] The causes of moderate to strong earthquakes are generally divided into two categories. One is the movement of tectonic plates, and the other is fault activity. Among them, a fault is a phenomenon in which the underground rock strata undergo relative dislocation on both sides of a fracture surface or fracture zone. Near an active fault, the propagation of seismic waves will be significantly affected. On the one hand, the presence of a fault may change the propagation direction of seismic waves, making the seismic feeling stronger and more extensive in certain directions. On the other hand, the rocks in the fault zone are highly fractured, and more energy will be lost during the propagation of seismic waves, which may result in a relatively smaller seismic feeling range near the fault zone. However, in the extension direction of the fault, due to the directional propagation of seismic waves, the seismic feeling range may expand. The direction of the major axis of the isoseismal line generally represents the strike of the seismogenic fault. By determining the direction of the major axis of the isoseismal line, it can help seismologists understand the distribution and activity of underground faults, which is of great significance for studying the causes and tectonic background of earthquakes. For example, when analyzing the isoseismal map of a certain earthquake, if the major axis is in the NNE direction, it can be inferred that the seismogenic fault may also be in the NNE direction, which provides a key clue for studying the regional geological structure and the laws of seismic activities. The macroseismic epicenter is usually located within the area surrounded by the isoseismal line and often near the major axis of the isoseismal line with the highest intensity. The distribution and shape of the major axis of the isoseismal line can help determine the location on the ground where the damage is the most severe, and then determine the location of the macroseismic epicenter. This is of great guiding significance for quickly understanding the damage center of the earthquake and carrying out emergency rescue and disaster assessment work. The shape and distribution of the major axis of the isoseismal line can reflect the propagation of seismic waves in different directions. The seismic waves propagate farther and the energy attenuation is slower in the direction of the major axis, which may be due to the better wave velocity propagation conditions of the underground geological structure in this direction or the existence of geological structures conducive to the propagation of seismic waves. By comparing the differences between the major axis and the minor axis of the isoseismal line in different directions, the anisotropy of seismic wave propagation can be analyzed, providing a basis for studying the internal structure of the earth and the laws of seismic wave propagation. During the earthquake emergency rescue stage, the direction and range indicated by the major axis of the isoseismal line can help rescue forces give priority to carrying out rescue work in areas with severe earthquake damage. Understanding the distribution of the major axis of the isoseismal line helps to allocate resources reasonably and improve the rescue efficiency. In the post-disaster reconstruction plan, according to the situation of the major axis of the isoseismal line, key attention can be given to the areas severely affected in the direction of the major axis, and infrastructure construction, residential resettlement points, etc. can be reasonably planned to improve the earthquake resistance ability and disaster response ability of the region. The maximum intensity and intensity range are also comprehensively affected by various factors such as the epicentral distance, focal depth, and geological conditions. Through the research and analysis of the magnitude, maximum intensity, and intensity range, the geological characteristics and hazards of earthquakes can be better understood, providing important bases for earthquake prevention, emergency rescue, and engineering seismic resistance, etc.

[0102] However, the applicant found in the research that the population distribution has a great impact on the statistics of the seismic feeling range. Therefore, in one embodiment of the present application, please refer to Figure 5, the system further includes an earthquake genesis analysis module 04, configured to extract geological information and population distribution information of the area based on the epicenter location, focal depth, felt range, major axis of isoseismal line, maximum intensity, and intensity range, and determine the cause of the earthquake according to the geological information.

[0103] Based on the population distribution information, the authenticity of the felt range can be verified. For example, if the population distribution is in a strip shape, the felt range may be distorted, and the reference of this factor needs to be supplemented.

[0104] In an embodiment of the present application, a method for extracting geological information and population distribution information of the area based on the epicenter location, focal depth, felt range, major axis of isoseismal line, maximum intensity, and intensity range, and determining the cause of the earthquake according to the geological information is provided, including:

[0105] Step S1000, based on the epicenter location, felt range, and population distribution information, extract the geological information of the relevant location, and identify whether there are geological features that cause the earthquake. If so, enter step S2000; if not, enter step S5000.

[0106] The geological information in the epicenter can include the strike and location of the fault zone, the location, thickness, and strength of the lithosphere, and the foundation structure and topography of each location. In one embodiment, this geological information can be displayed in a seismic spatial distribution map. In one embodiment, the seismic spatial distribution map is a three-dimensional view. Based on the extracted geological information, it can be determined whether there are geological features that cause the earthquake. For example, whether there is a fault zone.

[0107] Step S2000, determine whether there are geological features that match the focal depth, major axis of isoseismal line, maximum intensity, and intensity range among the identified geological features that cause the earthquake. If so, enter step S3000; if not, enter step S4000.

[0108] For example, if there is a fault zone whose strike and location match the major axis of the isoseismal line, and the location, thickness, and strength of the corresponding lithosphere match the focal depth, and the corresponding foundation structure and topography also match the maximum intensity and intensity range, it indicates that the geological features that cause the earthquake have been accurately identified.

[0109] Step S3000, use the matching geological features as the cause of this earthquake and display them.

[0110] Step S4000, determine whether there is partial matching. If there is partial matching, output and display the matching cause, and display an explanation of the non-matching conditions. If there is no matching, enter step S5000.

[0111] For example, if the strike and location of the fault zone match the major axis of the isoseismal line, and the corresponding foundation structure, topography, and geomorphology also match the maximum intensity and intensity range, but the position, thickness, and strength of the lithosphere do not match the focal depth, then the matching and non-matching geological features are output and displayed, which can further assist in verifying geological features. Another example is that if no fault zone is found with a strike and location matching the major axis of the isoseismal line, there may be undetected fault zones, etc.

[0112] Step S5000: Output and display the geological factors that are not recognized as causing the earthquake.

[0113] Based on the earthquake disaster characteristics analysis system in any of the above embodiments, since it includes an earthquake information acquisition module and a post-disaster rescue analysis module, multiple earthquake information is acquired through the earthquake information acquisition module, so that post-disaster rescue analysis can be quickly carried out based on the acquired earthquake information. On the one hand, it can realize fast and effective post-disaster rescue guidance, reducing the loss of life and property after the earthquake. On the other hand, it can give guidance on post-disaster reconstruction and pre-earthquake defense, fundamentally doing a good job in preventing the loss of life and property. It has stronger practicability, can provide earthquake disaster analysis results with higher accuracy, and realize effective earthquake disaster characteristics analysis such as post-disaster rescue analysis, post-disaster reconstruction analysis, and pre-earthquake defense, thereby improving the practicability and operability of emergency response plans and earthquake emergency rescue operation plans at all levels.

[0114] In one embodiment of the present application, a computer-readable storage medium is provided. A program is stored on the storage medium, and the stored program includes methods that can be loaded and processed by a processor in any of the above embodiments.

[0115] Those skilled in the art can understand that all or part of the functions of the above methods can be implemented in a hardware manner or in a computer program manner. When all or part of the functions in the above embodiments are implemented in a computer program manner, the program can be stored in a computer-readable storage medium. The storage medium can include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc. The above functions are realized by a computer executing the program. For example, the program is stored in the memory of the device, and when the processor executes the program in the memory, the above all or part of the functions can be realized. In addition, when all or part of the functions in the above embodiments are implemented in a computer program manner, the program can also be stored in a storage medium such as a server, another computer, magnetic disk, optical disk, flash drive, or mobile hard disk, downloaded or copied and saved to the memory of the local device, or the system of the local device is updated in version. When the processor executes the program in the memory, the above all or part of the functions in the above embodiments can be realized.

[0116] The above uses specific examples to illustrate the present invention, which is only used to help understand the present invention and is not intended to limit the present invention. For those skilled in the art to which the present invention pertains, based on the idea of the present invention, several simple deductions, deformations or substitutions can also be made.

Claims

1. A medium-strong earthquake disaster characteristics analysis system, characterized in that, It includes an earthquake information acquisition module and a post-disaster rescue analysis module; The earthquake information acquisition module includes a plurality of earthquake information acquisition units, and the plurality of earthquake information acquisition units are configured to acquire corresponding earthquake information; the earthquake information acquisition module includes an earthquake magnitude acquisition unit, a focal depth acquisition unit, a black box period duration acquisition unit, an exact death toll acquisition duration acquisition unit, a felt range acquisition unit, an isoseismal major axis acquisition unit, an intensity range acquisition unit, a mortality rate by intensity acquisition unit, a cause of death acquisition unit, and a building damage feature acquisition unit, which are respectively used to acquire the earthquake magnitude, focal depth, black box period duration, exact death toll acquisition duration, felt range, isoseismal major axis, intensity range, mortality rate by intensity, cause of personnel death, and building damage factors of this earthquake; the black box period duration refers to the duration from the earthquake occurrence to the first report of casualties in the disaster area; the exact death toll acquisition duration refers to the duration within a preset number error range to obtain the death toll within the preset number error range of the actual death toll; the cause of personnel death includes direct personnel death caused by the collapse of buildings due to ground motion and personnel death caused by secondary disasters; the building damage factors include direct factors and indirect factors of building damage, and the indirect factors include building structure type damage factors and building terrain location damage factors; The earthquake information acquisition module further includes a communication restoration duration acquisition unit, a power restoration duration acquisition unit, and a traffic restoration duration acquisition unit; among them, the communication restoration duration acquisition unit includes a preset main communication restoration duration acquisition subunit and an all communication restoration duration acquisition subunit, which are respectively used to acquire the preset main communication restoration duration and all communication restoration durations of this earthquake; the power restoration duration acquisition unit includes a preset main power restoration duration acquisition subunit and an all power restoration duration acquisition subunit, which are respectively used to acquire the preset main power restoration duration and all power restoration durations of this earthquake; the traffic restoration duration acquisition unit includes a preset main traffic restoration duration acquisition subunit and an all traffic restoration duration subunit, which are respectively used to acquire the preset main traffic restoration duration and all traffic restoration durations of this earthquake; The post-disaster rescue analysis module includes multiple post-disaster rescue analysis units, which are configured to obtain and display the corresponding rescue efficiency and give corresponding measure suggestions based on the obtained earthquake information; the post-disaster rescue analysis module includes a first post-disaster rescue analysis unit, a second post-disaster rescue analysis unit, and a third post-disaster rescue analysis unit; the first post-disaster rescue analysis unit is used to obtain and display the first post-disaster rescue efficiency and give the first rescue suggestion based on the obtained first earthquake information, and the first earthquake information includes the duration of the black box period and the duration of the restoration of main communication; the second post-disaster rescue analysis unit is used to obtain and display the second post-disaster rescue efficiency and give the second rescue suggestion based on the obtained second earthquake information, and the second earthquake information includes the duration of the black box period, the duration of the restoration of main communication, the duration of the restoration of main power, and the duration of the restoration of main transportation; the third post-disaster rescue analysis unit is used to obtain and display the third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures based on the obtained third earthquake information, and the third earthquake information includes the duration of the black box period, the duration of the restoration of main communication, the duration of the restoration of main power, the duration of the restoration of main transportation, the duration of the restoration of all communication, the duration of the restoration of all power, the duration of the restoration of all transportation, the earthquake magnitude, the focal depth, the duration of obtaining the exact number of deaths, the felt range, the major axis length of the isoseismal line, the intensity range, the mortality rate of sub-intensities, the causes of personnel deaths, and the destruction factors of buildings.

2. The medium-strong earthquake disaster characteristics analysis system according to claim 1, wherein The obtaining and displaying of the first post-disaster rescue efficiency and giving of the first rescue suggestion based on the obtained first earthquake information includes: Obtaining the duration of the black box period and the duration of the restoration of main communication, and judging the relationship between the duration of the black box period and the confidence interval of the black box period and the relationship between the duration of the restoration of main communication and the confidence interval of the restoration of main communication; if the duration of the black box period is higher than the upper limit of the confidence interval of the black box period and the duration of the restoration of main communication is higher than the upper limit of the confidence interval of the restoration of main communication, then display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities, dispatch additional rescue personnel, and improve the measures for the restoration of main communication; if the duration of the black box period is higher than the upper limit of the confidence interval of the black box period and the duration of the restoration of main communication is not higher than the upper limit of the confidence interval of the restoration of main communication, then display that the first post-disaster rescue efficiency is low and give suggestions on the need to increase rescue facilities and dispatch additional rescue personnel; if the duration of the black box period is lower than the lower limit of the confidence interval of the black box period, then display that the first post-disaster rescue efficiency is high and give suggestions on the need not to increase rescue facilities and dispatch additional rescue personnel; if the duration of the black box period is within the confidence interval of the black box period, then display that the first post-disaster rescue efficiency is moderate and give suggestions on the temporary need not to increase rescue facilities and dispatch additional rescue personnel.

3. The medium and strong earthquake disaster characteristics analysis system according to claim 1, characterized in that, The obtaining and displaying of the second post-disaster rescue efficiency and giving of the second rescue suggestion based on the obtained second earthquake information includes: Performing a first clustering analysis based on the obtained second earthquake information to obtain the second post-disaster rescue efficiency and the second rescue suggestion, including: inputting the second earthquake information after data preprocessing into the first clustering analysis model to obtain the second post-disaster rescue efficiency and the second rescue suggestion; the obtaining method of the first clustering analysis model includes: Perform standardized data preprocessing on the second earthquake information in each historical earthquake information; Form the first data set from each group of second earthquake information after standardized data preprocessing; Determine the number of clusters and initialize the cluster centers; For each data point in the first data set, calculate its membership degree to any one of the clusters. The membership degrees of all data points form a membership degree matrix; update the cluster centers according to the membership degree matrix and the data points; continuously update the membership degree matrix and the cluster centers until convergence to obtain a preliminary first cluster analysis model; Analyze each cluster in the clustering result and label the second post-disaster rescue efficiency and the second rescue suggestions for each category to obtain the final first cluster analysis model.

4. The medium-strong earthquake disaster characteristics analysis system according to claim 1, wherein The above-mentioned obtaining the third post-disaster rescue efficiency based on the obtained third earthquake information and giving suggestions on post-disaster reconstruction methods and disaster prevention measures includes: Perform a second cluster analysis based on the obtained third earthquake information to obtain the third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures, including: input the third earthquake information after data preprocessing into the second cluster analysis model to obtain the third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures; the obtaining method of the second cluster analysis model includes: Perform data preprocessing including data standardization on the third earthquake information in each historical earthquake information; Form the second data set from each group of third earthquake information after data preprocessing; Take each data point in the second data set as a node, calculate the similarity between any two nodes to obtain a similarity matrix of all nodes; Based on the similarity matrix, construct a weighted undirected graph G(V,E), where V represents the nodes and the weight of the edge E is the similarity between the corresponding nodes; Obtain the degree matrix of the similarity matrix and calculate the Laplacian matrix of the weighted undirected graph based on the similarity matrix and the degree matrix; perform eigenvalue decomposition on the Laplacian matrix to obtain eigenvalues and eigenvectors; Select the eigenvectors corresponding to the first preset number of clusters with the smallest eigenvalues as the new feature representation; Perform clustering on the new feature representation to obtain a second cluster analysis model including the preset number of clusters; Analyze each cluster in the clustering result and label the third post-disaster rescue efficiency, post-disaster reconstruction methods and disaster prevention measures for each category to obtain the final second cluster analysis model.

5. The medium-strong earthquake disaster characteristics analysis system according to claim 1, characterized in that The earthquake information acquisition module further includes an epicenter position acquisition unit for acquiring the epicenter position of the current earthquake; the system further includes an earthquake spatial distribution display module configured to draw and display an earthquake spatial distribution map based on the obtained fourth earthquake information, where the fourth earthquake information includes the epicenter position, focal depth, felt range, major axis of isoseismal line, intensity range, and maximum intensity, and the earthquake spatial distribution display map includes the display of the epicenter position, focal depth, felt range curve, major axis of isoseismal line, intensity range curve, and maximum intensity of the current earthquake.

6. The medium-strong earthquake disaster characteristics analysis system according to claim 5, wherein The system further includes an earthquake genesis analysis module, configured to extract geological information and population distribution information of the area based on the epicenter location, focal depth, felt range, major axis of isoseismal line, maximum intensity, and intensity range, and determine the genesis of the earthquake according to the geological information.

7. The medium and strong earthquake disaster characteristics analysis system according to claim 6, wherein The extracting of the geological information and population distribution information of the area based on the epicenter location, focal depth, felt range, major axis of isoseismal line, maximum intensity, and intensity range, and the determination of the genesis of the earthquake according to the geological information include: Based on the epicenter location, felt range, and population distribution information, extract the geological information of relevant locations, and identify whether there are geological features that cause earthquakes. If not, output and display that no geological factors causing earthquakes are identified. If so, determine whether there are geological features among the identified geological features that cause earthquakes that match the focal depth, major axis of isoseismal line, maximum intensity, and intensity range. If so, use the matching geological features as the genesis of this earthquake and display it. If not, determine whether there is partial matching. If there is partial matching, output and display the matching genesis, and display an explanation of the non-matching conditions. If there is no matching, output and display that no geological factors causing earthquakes are identified.

8. The medium-strong earthquake disaster characteristics analysis system according to claim 7, wherein, The extracted geological information includes one or more of the strike and location of the fault zone, the location, thickness, and strength of the lithosphere, and the foundation structure and topography of each location, and display the extracted geological information in the geological spatial distribution map.

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