Medium-strong earthquake damage characteristic analysis system

Abstract

The invention relates to a medium-strong earthquake damage characteristic analysis system, and relates to the technical field of earthquake damage analysis. The system comprises an earthquake information acquisition module and a post-disaster rescue analysis module, and multiple pieces of earthquake information are acquired through the earthquake information acquisition module, so that post-disaster rescue analysis can be quickly performed based on the acquired earthquake information, on one hand, quick and effective post-disaster rescue guidance can be realized, and life and property loss after an earthquake is reduced; on the other hand, post-disaster reconstruction and pre-earthquake defense guidance can be provided, and prevention for reducing life and property loss is well performed. Compared with the prior art, the method has the advantages that the practicability is higher, an earthquake damage analysis result with higher accuracy can be provided, and effective earthquake damage feature analysis such as earthquake post-disaster rescue analysis, post-disaster reconstruction analysis and pre-earthquake defense is realized, so that the practicability and operability of each level of emergency plans and earthquake emergency rescue action plans are improved.

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 characteristic 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 preparation, emergency response and recovery and reconstruction. It mainly includes reasonably optimizing land use and space planning, inspecting and strengthening potential hazards of houses, 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 characteristics of 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 characteristics 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 characteristic analysis system, which can provide an analysis system with stronger practicability, can provide more accurate earthquake disaster analysis results, and realize effective earthquake post-disaster rescue analysis, post-disaster reconstruction analysis and pre-earthquake defense and other earthquake disaster characteristic analyses, 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 characteristic analysis system is provided, including 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 post-disaster rescue analysis module includes a plurality of post-disaster rescue analysis units, and the plurality of post-disaster rescue analysis units are configured to acquire and display the corresponding rescue efficiency and give corresponding measure suggestions based on the acquired earthquake information.

[0008] 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 felt intensity range acquisition unit, a major axis length of isoseismal line acquisition unit, an intensity range acquisition unit, a mortality rate by intensity acquisition unit, a cause of death acquisition unit, and a building damage characteristics acquisition unit, which are respectively used to acquire the earthquake magnitude, focal depth, black box period duration, exact death toll acquisition duration, felt intensity range, major axis length of isoseismal line, intensity range, mortality rate by intensity, cause of death of personnel, and damage factors of buildings for this earthquake; 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 the death toll within the preset number error range of the actual death toll; the cause of death of personnel includes direct deaths of personnel caused by the collapse of buildings due to ground motion and deaths of personnel caused by secondary disasters; the damage factors of buildings 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 for 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 for 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 for this earthquake.

[0009] 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 configured to obtain and display the first post-disaster rescue efficiency based on the acquired first earthquake information and give the first rescue advice, where 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 configured to obtain and display the second post-disaster rescue efficiency based on the acquired second earthquake information and give the second rescue advice, where 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 configured to obtain and display the third post-disaster rescue efficiency based on the acquired third earthquake information and give advice on post-disaster reconstruction methods and disaster prevention measures, where 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.

[0010] In one embodiment, obtaining and displaying the first post-disaster rescue efficiency based on the acquired first earthquake information and giving the first rescue advice includes: 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 advice 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 advice 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 advice 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 advice on the temporary need not to increase rescue facilities and dispatch additional rescue personnel.

[0011] The beneficial effects of the present invention are: 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 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 fundamentally do a good job in preventing the loss of life and property. It has stronger practicability, can provide more accurate earthquake disaster analysis results, realize effective earthquake disaster feature analysis such as post-disaster rescue analysis, post-disaster reconstruction analysis and pre-earthquake defense, thus improving the practicability and operability of emergency plans and earthquake emergency rescue action plans at all levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is a structural block diagram of the first embodiment of the strong earthquake disaster feature analysis system in this application; Figure 2 is a schematic flow chart of the method for obtaining the first clustering analysis model of an embodiment of this application; Figure 3 is a schematic flow chart of the method for obtaining the second clustering analysis model of an embodiment of this application; Figure 4 is a structural block diagram of the second embodiment of the strong earthquake disaster feature analysis system in this application; Figure 5 is a structural block diagram of the third embodiment of the strong earthquake disaster feature analysis system in this application.

[0013] 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

[0014] The present invention will be further described in detail below in conjunction with the accompanying drawings through specific embodiments. Similar elements in different embodiments are labeled with related similar element numbers. In the following embodiments, many details are described 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, and 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 description. 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 according to the description in the specification and the general technical knowledge in the art.

[0015] 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 that is 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.

[0016] 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.

[0017] For the convenience of explaining the inventive concept of the present application, the earthquake disaster analysis technology will be briefly described below.

[0018] 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, etc. However, the analysis dimension is more inclined to individual feature analysis to reflect factor characteristics. It is very 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 or post-disaster reconstruction and 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.

[0019] 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.

[0020] 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 corresponding information and processing algorithms, so as to achieve fast and effective comprehensive guidance and provide a basis for post-disaster rescue and reconstruction.

[0021] 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 a plurality of earthquake information acquisition units, and the plurality of earthquake information acquisition units are configured to acquire corresponding earthquake information. The post-disaster rescue analysis module 02 includes a plurality of post-disaster rescue analysis units, and the plurality of post-disaster rescue analysis units are configured to acquire and display the corresponding rescue efficiency and give corresponding measure suggestions based on the acquired earthquake information.

[0022] 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 range acquisition unit, an isoseismal major axis acquisition unit, an intensity range acquisition unit, a sub-intensity mortality rate 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, sub-intensity mortality rate, cause of personnel death, and damage factors of the building for this earthquake.

[0023] The black box period duration refers to the duration from the occurrence of the earthquake to the first transmission of casualty information from 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 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 damage factors of the building include direct factors and indirect factors of building damage. Among them, the indirect factors include building structure type damage factors and building terrain location damage factors.

[0024] Accurately grasping and estimating the 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 information 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.

[0025] 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 the earthquake, there will also be a situation where casualty information cannot be transmitted in time, which will also affect the efficiency of emergency response.

[0026] 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 the current 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 based on the acquired first earthquake information and give the first rescue suggestion. Among them, the first earthquake information includes the black box period duration and the main communication recovery duration.

[0027] In order to quantify and specify 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 confidence interval of the black box period, 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 confidence interval of the black box period, it indicates that the first post-disaster rescue efficiency is higher. In an embodiment, through the relevant data of 12 earthquakes with fatalities 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, therefore, taking ensuring post-earthquake rescue as a prerequisite, the main communications that need to be restored can be preset, for example, by quickly establishing a temporary communication base station to ensure the restoration of the main communication link. If the main communication recovery duration is higher than the upper limit of the main communication recovery confidence interval, it indicates that the recovery 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 based on the acquired first earthquake information and giving the first rescue suggestion includes: Obtain the duration of the black box period and the duration of the restoration of the 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 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 extension 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 restoration of the main communication is not higher than the upper limit of the confidence interval of 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 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, then 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, then display that the first post-disaster rescue efficiency is moderate and give suggestions on the need not to increase rescue facilities and dispatch more rescue personnel temporarily.

[0028] Through the above specific embodiment solutions, on the one hand, through the setting of two confidence intervals, it is convenient to perform data processing on influencing factors and provide a reference benchmark. On the other hand, it is possible to accurately grasp 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 emergency plans at all levels and earthquake emergency rescue operation plans.

[0029] The seismic 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 disaster victims, the restoration timeliness of basic living communication, power, and transportation facilities in the transition period to ensure the living products 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.

[0030] 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 by integrating various influencing factors in the second earthquake information and obtain accurate comprehensive guidance is also a technical difficulty in this field.

[0031] 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.

[0032] In one embodiment set, please refer to Figure 2 , the acquisition method of the first clustering analysis model includes: Step S10, perform standardized data preprocessing on the second earthquake information in each historical earthquake information.

[0033] 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.

[0034] Step S20, form a first data set from each group of second earthquake information after standardized data preprocessing.

[0035] In one embodiment set, the first data set can be expressed as: Among them, X represents the first data set, represents a data item, j represents the index of the data item in the second earthquake information after standardized data preprocessing, J represents the total number of data items in the second earthquake information. Here, J = 4, 1 ≤ j ≤ J; i represents the index of each historical earthquake, I represents the total number of historical earthquakes, 1 ≤ i ≤ I.

[0036] Step S30: Determine the number of clusters and initialize the cluster centers.

[0037] 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.

[0038] Based on the determined number of clusters K, K groups of second seismic information can be randomly selected from the first dataset as the initial cluster centers.

[0039] 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 matrix; update the cluster centers according to the membership matrix and the data points; continuously update the membership matrix and the cluster centers until convergence to obtain a preliminary first clustering analysis model.

[0040] For each data point (i.e., each group of second seismic information) in the first dataset, calculate its Euclidean distance from the K cluster centers, which can be expressed as: where, represents the Euclidean distance from the data point to the cluster center m represents the index of the cluster center, 1 ≤ m ≤ K, represents the j-th eigenvalue of the data point , represents the j-th eigenvalue of the cluster center .

[0041] Then, calculate the membership degree of any data point to any cluster center , which can be expressed as: where, represents the membership degree, k is the index of the cluster center, 1 ≤ k ≤ K, represents the Euclidean distance from the data point to the cluster center , and n represents the fuzzy weighting exponent, usually n = 2 can be taken.

[0042] In this way, the membership matrix can be obtained. Then, update the cluster centers according to the membership matrix and the data points. Thus, continuously update the membership matrix and the cluster centers until convergence, and a preliminary first clustering analysis model can be obtained.

[0043] Step S50: 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 clustering analysis model.

[0044] In one embodiment, the second post-disaster rescue efficiency and the second rescue suggestions for each category can be labeled based on the relationship between each earthquake information in the second earthquake information and its corresponding confidence interval, as well as the mutual influence relationship between each earthquake information, so as to give further post-disaster rescue guidance. For example, the clustering result reflects the overall rescue response speed: if the clustering analysis result shows that the duration of the black box period is lower than the lower limit of its confidence interval, it indicates that the casualty situation in the disaster area can be obtained relatively quickly after the earthquake, which shows that the pre-disaster emergency response mechanism is relatively sensitive, with efficient information collection channels and a rescue team with quick response. If the restoration durations of the main communication, power, and transportation are also lower than the lower limit of their confidence intervals, it indicates that the overall rescue efficiency is high, the coordination and cooperation among various departments are good, and the rescue work can be carried out quickly, restoring key infrastructure in a short time, providing strong guarantee for subsequent rescue operations. If a certain area is classified into one category by clustering analysis, with a short black box period but a long restoration duration of communication, power, or transportation, it means that this area has an advantage in information collection but has deficiencies in infrastructure repair, perhaps lacking professional repair teams or material equipment. On the contrary, if the black box period is long while other restoration durations are short, there may be obstacles in the initial information transmission, such as serious damage to communication equipment or unsmooth information transmission channels, but in the subsequent rescue operations, the ability to restore infrastructure is strong. By comparing the clustering results of different disaster areas or different time periods in the same disaster area, it is possible to find out which areas or stages have high rescue efficiency and which have problems. For example, compared with other areas, the restoration duration of transportation in a certain area is significantly longer. After analysis, it may be because the road terrain in this area is complex and large rescue equipment is difficult to enter, which provides a basis for subsequent targeted optimization of the rescue plan.

[0045] Regarding the rescue suggestions, for 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 the disaster situation, technologies such as social media, drone aerial photography, and satellite remote sensing can also be fully utilized to obtain real-time information of the disaster area in a timely manner and shorten the black box period. Strengthen the publicity and education of the people in the disaster area, improve their self-help and mutual rescue awareness and information reporting ability, and encourage them to transmit the disaster situation information to the outside world through various means in a timely manner after the earthquake.

[0046] 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 an earthquake. At the same time, strengthen the seismic reinforcement of communication infrastructure to improve its anti-destruction ability during an earthquake. Establish a professional communication repair team, strengthen training and drills, and improve their repair ability in complex environments. After an earthquake, prioritize ensuring smooth communication in important places such as rescue command centers, hospitals, and shelters.

[0047] 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, water supply pumping stations, etc. At the same time, reasonably allocate power repair resources to improve repair efficiency. Promote the use of distributed power generation technologies and energy storage devices, such as small wind turbines, solar power generation equipment, mobile power supply vehicles, etc., to provide temporary power supply for the disaster area before the main power grid is restored to meet basic living and rescue needs.

[0048] 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 smoothly enter the disaster area when the main traffic routes are blocked. Form a professional traffic rescue team and equip them with sufficient large-scale obstacle removal equipment and construction machinery, such as bulldozers, loaders, cranes, etc. After an earthquake, quickly carry out road obstacle removal and repair work. At the same time, strengthen cooperation with forces such as the military and armed police to jointly ensure smooth traffic.

[0049] 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 earthquake felt range, the major axis of the isoseismal line, the intensity range, the mortality rate by sub-intensity, the causes of personnel deaths, and the damage factors of buildings.

[0050] The number of casualties, especially the number of deaths, is an important reference index for initiating earthquake emergency responses 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.

[0051] The seismic waves generated after an earthquake bring ground vibrations, and this vibration is felt by people. The spatial range where this vibration can be felt by people is called the felt range. The felt vibration varies in intensity, depending on the strength of the physical earthquake vibration and also related to people's subjective feelings. Its range is the largest spatial range of the impact caused by this earthquake, aiming at directly affecting the population, and carrying out targeted self-help and mutual rescue guidance and publicity, providing actual data.

[0052] The long-axis direction of the isoseismal line is the combined effect of ground motion and source characteristics, which can be described in the geographical azimuths of "north-south, north-northeast, northeast, north-northeast, north-northwest, northwest, north-northwest, west-east".

[0053] The long-axis distance refers to the distance between the two farthest points on the 6-degree isoseismal line. In addition to helping to reasonably layout important facilities and buildings in the traditional sense, taking effective earthquake-resistant measures, and reducing the losses caused by earthquake disasters, this distance index can also quickly determine that there is no destructive loss beyond the straight-line distance from the epicenter, which is relatively accurate and convenient. Through the relevant data of 27 earthquakes in the past 20 years, the maximum long axis of earthquakes with magnitudes of 5.0 - 5.9 is 100 kilometers, the maximum long axis of earthquakes with magnitudes of 6.0 - 6.9 is 207 kilometers, and the maximum long axis of earthquakes with magnitudes of 7.0 - 7.9 is 381 kilometers.

[0054] 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 with magnitudes of 5.0 - 5.3, the maximum intensity is usually 6 degrees. For earthquakes with magnitudes of 5.4 - 5.9, the maximum intensity is usually 7 degrees. For earthquakes with magnitudes of 6.0 - 6.4, the maximum intensity is usually 8 degrees. For earthquakes with magnitudes of 6.5 - 7.0, the maximum intensity is usually 9 degrees.

[0055] The most core of life loss 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, which involves the highest intensity, intensity range, total population in the intensity area, and the number of deaths in that intensity area.

[0056] The applicant found in the research that in the current analysis of the causes of personnel deaths, more attention is paid to analyzing the causes of deaths related to earthquakes, such as judging whether it is due to being injured or buried and suffocated by the collapse of buildings, 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, resulting in difficulty in obtaining more accurate suggestions for post-disaster reconstruction methods from geological influence factors.

[0057] 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.

[0058] 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.

[0059] 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 zone; Second, the corresponding seismic fortification intensities in each intensity zone 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 7, especially the ratio of houses distributed in the gentle areas of the mountainside and the foot of the mountain in mountainous areas; Fourth, the building damage grades and situations refer to the "Classification Standard for Building Earthquake Damage Grades" and "Part 4 of the Field Work in Earthquake Areas: Assessment of Direct Disaster Losses".

[0060] The applicant found in the research that the above current building damage analysis focuses more on the degree and direct causes of building damage (i.e., micro factors, such as impact, collapse, etc.), and does not analyze the indirect causes of building damage (i.e., macro 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 wooden (about 55%), and earth / stone-wood structures (about 3%). According to relevant regulations, the corresponding seismic fortification intensity should be VIII and IX degrees, but most rural self-built houses are not fortified, resulting in a low proportion of overall fortified houses. In addition, most areas in the VI degree area are alpine valley regions, with a relatively high proportion of mountainous areas and a relatively low proportion of flat areas at the foot of the mountain. Most houses are built in the flat areas at the foot of the mountain or on the mountainside. The houses in the IX and VIII degree areas of this earthquake were damaged more severely, mainly manifested as the walls of most unfortified earth / stone-wood, brick-wood, and penetrated wooden structure rural houses cracking, roof tiles slipping, collapsing or partially collapsing, the load-bearing members of brick-concrete and frame structures breaking, deforming, and walls cracking, and some showing partial collapse, etc. The damage to houses in the VII and VI degree areas is mainly dominated by unfortified rural houses, mostly manifested as partial collapse, wall cracking, roof tile slipping, etc. According to the above analysis, macro factors such as terrain location and structural type of building damage play an important guiding role in the way of post-disaster reconstruction.

[0061] In view of this, in the embodiments of the present application, the damage factors of buildings 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, more comprehensive building damage factor analysis can take into account macro influencing factors, so as to obtain more accurate post-disaster reconstruction method suggestions.

[0062] 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 to obtain the third post-disaster rescue efficiency and give 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.

[0063] In one embodiment, please refer to Figure 3 , the method for obtaining the second clustering analysis model includes: Step S100, preprocessing the third earthquake information in each historical earthquake information including data standardization.

[0064] Among them, 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, and the duration of obtaining the exact number of deaths in the third earthquake information are subjected to standardized data preprocessing. After discretizing the earthquake magnitude, focal depth, felt range, intensity range, and mortality rate by sub-intensity into different intervals, one-hot encoding processing is performed. After classifying the major axis of the isoseismal line, the causes of human deaths, and the factors of building damage into different categories, one-hot encoding processing is performed.

[0065] Step S200: Combine each group of the third earthquake information after data preprocessing to form a second data set.

[0066] Step S300: Take each data point in the second data set as a node, and calculate the similarity between any two nodes to obtain the similarity matrix of all nodes.

[0067] In one embodiment, a Gaussian similarity function can be used to calculate the similarity, so as to obtain the similarity matrix of all nodes.

[0068] Step S400: Based on the similarity matrix, construct a weighted undirected graph G(V, E). Wherein, V represents nodes, and the weight of edge E is the similarity between the corresponding nodes.

[0069] If the similarity between two samples is relatively high, then the edge weight between them is relatively large, indicating that these two samples are closely connected in the graph.

[0070] 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.

[0071] 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: Wherein, L represents the Laplacian matrix, D represents the degree matrix, and W represents the similarity matrix.

[0072] Step S600: Select the eigenvectors corresponding to the first preset number of clustering numbers with the smallest eigenvalues as the new feature representation.

[0073] 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.

[0074] Step S700: Cluster the new feature representation to obtain a preliminary second clustering analysis model including the preset number of clusters.

[0075] 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.

[0076] 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.

[0077] In one embodiment, the relationships between the durations and their corresponding confidence intervals can be obtained based on the black box period duration, main communication restoration duration, main power restoration duration, main transportation restoration duration, total communication restoration duration, total power restoration duration, total transportation restoration duration, and exact number of deaths in the third earthquake information. The relationships between the earthquake magnitude, focal depth, felt range, intensity range, and sub-intensity mortality rate and their corresponding division intervals can be obtained. The relationships between the major axis length of the isoseismal line, causes of human deaths, and building damage factors and their corresponding classifications can be obtained. And the mutual influence relationships 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 resistance performance of infrastructure and the post-disaster emergency 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 emergency 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 sub-intensity mortality rate, 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 certain 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.

[0078] Regarding the suggestions on post-disaster reconstruction methods, for areas where it is difficult to restore infrastructure as found in cluster analysis, the reconstruction of infrastructure such as transportation, communication, and power should be strengthened. Higher-standard seismic design codes should be adopted to ensure that newly constructed facilities have stronger seismic resistance. For example, in road construction, seismic brackets and buffer structures should be added; in the construction of communication base stations, seismic-reinforced towers and backup power systems should be used. According to the clustering results of building damage factors, corresponding repair or reconstruction measures should be taken for buildings with different degrees and types of damage. For buildings with minor damage, reinforcement and repair can be carried out; for severely damaged buildings, they should be redesigned and built in accordance with seismic requirements. At the same time, for building damage factors caused by structural type reasons, the supervision and management of construction quality should be strengthened to ensure that newly built buildings meet seismic standards. For building damage factors caused by topographical location reasons, construction in unfavorable terrains should be avoided. For 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 the ecological balance and reduce the risk of secondary disasters.

[0079] Regarding the suggestions on disaster prevention measures, by establishing a dense earthquake monitoring network, the accuracy and timeliness of earthquake monitoring can be improved. Using modern information technologies such as the Internet of Things and big data, the rapid transmission and processing of earthquake information can be realized, providing more accurate data support for earthquake early warning. At the same time, the construction and popularization of the earthquake early warning system should be strengthened so that the public can obtain a certain early warning time before the arrival of seismic waves and take emergency avoidance measures. The seismic design codes for buildings should be strictly implemented, and the seismic review and acceptance work for newly built buildings should be strengthened to ensure that buildings meet seismic requirements during the design and construction stages. For old buildings, seismic performance assessment and reinforcement and transformation should be carried out to improve their seismic resistance. In addition, the promotion and use of new seismic building materials and technologies such as shock-absorbing bearings and seismic isolation layers should be carried out to enhance the seismic performance of buildings. According to the seismic risk levels and population distribution in different regions, the layout and reserve scale of material reserve points should be reasonably planned. Emergency materials should be inspected, updated, and replenished regularly to ensure that the quality and quantity of materials meet emergency needs. At the same time, a material allocation mechanism should be established to quickly transport materials to the disaster area after an earthquake to ensure the basic living of affected people and the smooth progress of rescue work.

[0080] 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.

[0081] The causes of 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 the range wider 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 be enlarged. 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 lines 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 thus determine the position of the macroseismic epicenter. This is of great guiding significance for quickly understanding the earthquake damage center 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 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 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 prioritize 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 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 earthquake resistance, etc.

[0082] 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 cause 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.

[0083] 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.

[0084] 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: Step S1000, based on the epicenter location, felt range, and population distribution information, extract geological information of relevant locations, and identify whether there are geological features that cause earthquakes. If so, enter step S2000; if not, enter step S5000.

[0085] 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 earthquakes. For example, whether there is a fault zone.

[0086] 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 earthquakes. If so, enter step S3000; if not, enter step S4000.

[0087] For example, if the strike and location of the fault zone 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 earthquakes have been accurately identified.

[0088] Step S3000, use the matching geological features as the cause of this earthquake and display them.

[0089] Step S4000, determine whether there is partial matching. If there is partial matching, output and display the matching causes, and display the explanations for the non-matching conditions. If there is no matching, enter step S5000.

[0090] For example, if the strike and location of a 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 location, 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.

[0091] Step S5000: Output and display the geological factors that have not been identified as causing the earthquake.

[0092] 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 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 preventing the loss of life and property. It has stronger practicability, can provide more accurate earthquake disaster analysis results, 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.

[0093] 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.

[0094] 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. When the processor executes the program in the memory, the above all or part of the functions in the above embodiments can be realized.

[0095] The above uses specific examples to illustrate the present invention, which is only for helping to 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, several simple deductions, deformations or substitutions can also be made based on the idea of the present invention.

Claims

1. A moderate to strong earthquake damage characteristic analysis system, characterized in that: Including earthquake information acquisition module and post-disaster rescue analysis module; The seismic information acquisition module includes a plurality of seismic information acquisition units, and the plurality of seismic information acquisition units are configured to acquire corresponding seismic information; The post-disaster rescue analysis module includes a plurality of post-disaster rescue analysis units, and the plurality of post-disaster rescue analysis units are configured to obtain and display corresponding rescue efficiency and give corresponding measure suggestions based on the acquired earthquake information.

2. The moderate-to-strong earthquake damage characteristic analysis system according to claim 1, characterized in that: The earthquake information acquisition module includes an earthquake level acquisition unit, a focal depth acquisition unit, a black box period duration acquisition unit, an exact death toll acquisition time acquisition unit, a seismic range acquisition unit, an isoseismal line 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 obtain the earthquake level, focal depth, black box period duration, exact death toll acquisition time, seismic range, isoseismal line major axis, intensity range, mortality rate by intensity, causes of death and building damage factors of this earthquake; the black box period duration refers to the time from the occurrence of the earthquake to the first report of casualties in the disaster area; the exact death toll acquisition time refers to the time within the preset number of error range for the death toll to reach the actual death toll within the preset number of error range; the causes of death include direct deaths caused by building collapse due to earthquake motion and deaths 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 position damage factors; The earthquake information acquisition module also includes a communication recovery time acquisition unit, a power recovery time acquisition unit and a traffic recovery time acquisition unit; wherein the communication recovery time acquisition unit includes a preset main communication recovery time acquisition subunit and a total communication recovery time acquisition subunit, which are respectively used to obtain the preset main communication recovery time and the preset total communication recovery time of this earthquake; the power recovery time acquisition unit includes a preset main power recovery time acquisition subunit and a total power recovery time acquisition subunit, which are respectively used to obtain the preset main power recovery time and the preset total power recovery time of this earthquake; the traffic recovery time acquisition unit includes a preset main traffic recovery time acquisition subunit and a total traffic recovery time subunit, which are respectively used to obtain the preset main traffic recovery time and the preset total traffic recovery time of this earthquake.

3. The moderate-to-strong earthquake damage characteristic analysis system according to claim 2, characterized in that: 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 a first post-disaster rescue efficiency and give a first rescue suggestion based on the acquired first earthquake information, and the first earthquake information includes a black box period and a main communication recovery period; the second post-disaster rescue analysis unit is used to obtain and display a second post-disaster rescue efficiency and give a second rescue suggestion based on the acquired second earthquake information, and the second earthquake information includes a black box period, a main communication recovery period, and a main power recovery period. duration and main traffic restoration time; the third post-disaster rescue analysis unit is used to obtain and display the third post-disaster rescue efficiency based on the acquired third earthquake information and give suggestions on post-disaster reconstruction methods and disaster prevention measures, and the third earthquake information includes the black box period duration, main communication restoration time, main power restoration time, main traffic restoration time, all communication restoration time, all power restoration time, all traffic restoration time, earthquake level, focal depth, time for obtaining the exact number of deaths, shaking range, major axis of isoseismal lines, intensity range, intensity mortality rate, causes of death and building damage factors.

4. The moderate-to-strong earthquake damage characteristic analysis system according to claim 3, characterized in that: The method of obtaining and displaying a first post-disaster rescue efficiency and providing a first rescue suggestion based on the obtained first earthquake information includes: The duration of the black box period and the duration of main communication recovery are obtained, and 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 main communication recovery and the confidence interval of the main communication recovery are determined; if the duration of the black box period is higher than the upper limit of the black box period confidence interval, and the duration of the main communication recovery is higher than the upper limit of the main communication recovery confidence interval, it is shown that the efficiency of the first post-disaster rescue is low, and suggestions are given for increasing rescue facilities, dispatching more rescue personnel, and improving the main communication recovery measures; if the duration of the black box period is higher than the upper limit of the black box period confidence interval, and the duration of the main communication recovery is not higher than the upper limit of the main communication recovery confidence interval, it is shown that the efficiency of the first post-disaster rescue is low, and suggestions are given for increasing rescue facilities and dispatching more rescue personnel; if the duration of the black box period is lower than the lower limit of the black box period confidence interval, it is shown that the efficiency of the first post-disaster rescue is high, and suggestions are given that there is no need to increase rescue facilities and dispatch more rescue personnel; if the duration of the black box period is within the black box period confidence interval, it is shown that the efficiency of the first post-disaster rescue is moderate, and suggestions are given that there is no need to increase rescue facilities and dispatch more rescue personnel temporarily.

5. The moderate-to-strong earthquake damage characteristic analysis system according to claim 3, characterized in that: The method of obtaining and displaying a second post-disaster rescue efficiency based on the obtained second earthquake information and providing a second rescue suggestion includes: Performing a first cluster analysis based on the acquired second earthquake information to obtain a second post-disaster rescue efficiency and a second rescue suggestion includes: performing data preprocessing on the second earthquake information and inputting it into a first cluster analysis model to obtain the second post-disaster rescue efficiency and the second rescue suggestion; the method for obtaining the first cluster analysis model includes: Performing standardized data preprocessing on the second earthquake information in each historical earthquake information; The groups of second earthquake information after the standardized data preprocessing are combined into a first data set; Determine the number of clusters and initialize the cluster centers; For each data point in the first data set, the degree of membership of each data point to any cluster is calculated, and the degrees of membership of all data points form a membership matrix; based on the membership matrix and the data points, the cluster centers are updated; the membership matrix and the cluster centers are continuously updated until convergence, and a preliminary first cluster analysis model is obtained; Each cluster in the clustering results is analyzed, and the second post-disaster rescue efficiency and second rescue suggestions of each category are marked to obtain the final first cluster analysis model.

6. The moderate-to-strong earthquake damage characteristic analysis system according to claim 3, characterized in that: The method of obtaining and displaying the third post-disaster rescue efficiency based on the obtained third earthquake information and providing suggestions on post-disaster reconstruction methods and disaster prevention measures includes: Based on the acquired third earthquake information, a second cluster analysis is performed to obtain a third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures, including: inputting the third earthquake information into a second cluster analysis model after data preprocessing to obtain a third post-disaster rescue efficiency and give suggestions on post-disaster reconstruction methods and disaster prevention measures; the method for obtaining the second cluster analysis model includes: Performing data preprocessing including data standardization on the third earthquake information in each historical earthquake information; The third seismic information of each group after data preprocessing is formed into a second data set; Taking each data point in the second data set as a node, calculating the similarity between any two nodes to obtain a similarity matrix of all nodes; Based on the similarity matrix, a weighted vectorless graph G(V,E) is constructed, where V represents a node and the weight of an edge E is the similarity between the corresponding nodes; Obtaining a degree matrix of the similarity matrix, and calculating a Laplacian matrix of a weighted vectorless graph based on the similarity matrix and the degree matrix; performing eigendecomposition on the Laplacian matrix to obtain eigenvalues ​​and eigenvectors; Select the feature vector with the smallest eigenvalue before the preset number of clusters as the new feature representation; Clustering the new feature representation to obtain a second clustering analysis model including a preset number of clusters; Each cluster in the clustering results is analyzed, and the third post-disaster rescue efficiency, post-disaster reconstruction methods and disaster prevention measures recommendations of each category are marked to obtain the final second cluster analysis model.

7. The moderate-to-strong earthquake damage characteristic analysis system according to claim 2, characterized in that: The earthquake information acquisition module also includes an epicenter position acquisition unit, which is used to obtain the epicenter position of this earthquake; the system also includes an earthquake spatial distribution display module, which is configured to draw and display an earthquake spatial distribution map based on the acquired fourth earthquake information, wherein the fourth earthquake information includes the epicenter position, focal depth, seismic range, isoseismal major axis, intensity range and maximum intensity, and the earthquake spatial distribution display map includes the epicenter position, focal depth, seismic range curve, isoseismal major axis, intensity range curve and maximum intensity of this earthquake.

8. The moderate-to-strong earthquake damage characteristic analysis system according to claim 7, characterized in that: The system also includes an earthquake cause analysis module, which is configured to extract geological information and population distribution information of the area based on the epicenter location, focal depth, seismic range, major axis of isoseismal lines, maximum intensity and intensity range, and determine the cause of the earthquake based on the geological information.

9. The moderate-to-strong earthquake damage characteristic analysis system according to claim 8, characterized in that: The method of extracting the geological information and population distribution information of the area based on the epicenter location, focal depth, seismic range, isoseismal major axis, maximum intensity and intensity range, and determining the cause of the earthquake based on the geological information includes: Based on the epicenter location, seismic range and population distribution information, the geological information of the relevant location is extracted, and it is identified whether there are geological features that cause earthquakes. If not, the geological factors that cause earthquakes are not identified and displayed. If so, it is determined whether there are geological features that are consistent with the focal depth, the major axis of the isoseismal lines, the maximum intensity and the intensity range among the identified geological features that cause earthquakes. If so, the consistent geological features are used as the cause of the earthquake and displayed. If not, it is determined whether there is a partial match. If there is a partial match, the consistent cause is output and displayed, and an explanation of the non-matching conditions is displayed. If all do not match, the geological factors that cause earthquakes are not identified and displayed.

10. The moderate-to-strong earthquake damage characteristic analysis system according to claim 9, characterized in that: The extracted geological information includes one or more of the direction and position of the fault zone, the position thickness and strength of the lithosphere, and the foundation structure and topography of each position, and the extracted geological information is displayed in a geological spatial distribution map.

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