Earthquake event emergency response method

Abstract

The invention relates to the field of information processing, in particular to an earthquake event emergency response method, which comprises the following steps: acquiring earthquake service data; determining a preferable template generation mode according to the template association degree and the report response coefficient, wherein the preferable template generation mode is that preferable template recombination is carried out according to the region matching mean value or a preferable template is generated according to the information matching amplitude; determining a report updating mode according to the earthquake influence coefficient and the public opinion information amount, wherein the report updating mode is that the report updating frequency is adjusted according to the comprehensive evaluation value or a report supplementing mode is determined according to the characteristic correlation coefficient of the effective public opinion area; the report supplement mode comprises feature text supplement and associated text supplement. According to the invention, the accuracy and timeliness of the seismic event response technical report can be improved.

Description

Technical Field

[0001] The present invention relates to the field of information processing, and in particular to an earthquake emergency response method. Background Art

[0002] When an earthquake occurs, it is accompanied by a large amount of earthquake sensor information. However, when processing this data, there are many problems such as the poor matching degree between the report template and the actual earthquake situation and the failure of the report content to fully meet the public's information needs. These problems not only aggravate the difficulty of integrating disaster information, but also lead to a decline in the practicality of earthquake event response technical reports. Therefore, how to update the earthquake event response technical report while ensuring the accuracy of the report information to improve the accuracy and timeliness of the earthquake event response technical report and thus meet the public's information needs is a technical problem that technical personnel in this field urgently need to solve.

[0003] However, in the existing technology, earthquake event response technical reports are only generated based on earthquake business data, without considering the problem that the report content is insufficient and cannot meet the public's information needs. The report generation method cannot be adaptively adjusted according to public needs, resulting in poor practicality of the report. Summary of the Invention

[0004] To this end, the present invention provides an earthquake event emergency response method to overcome the problem in the prior art that the report content is insufficient and cannot meet the public's information needs, and the report generation method cannot be adaptively adjusted according to public needs, resulting in poor report practicality.

[0005] To achieve the above objectives, the present invention provides an earthquake emergency response method, comprising:

[0006] Obtain earthquake business data;

[0007] Determine the preferred template generation method based on the template correlation and the report response coefficient. The preferred template generation method is to reorganize the preferred template based on the regional matching mean or to generate the preferred template based on the information matching amplitude;

[0008] Determine the report update method based on the earthquake impact coefficient and the amount of public opinion information. The report update method is to adjust the report update frequency based on the comprehensive evaluation value or determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area;

[0009] The report supplementation method includes feature text supplementation and associated text supplementation.

[0010] Furthermore, the preferred template generation method is determined based on the template correlation and the report response coefficient, including:

[0011] If the template correlation is less than the preset template correlation or the report response coefficient is less than the preset report response coefficient, the preferred template generation method is to reorganize the preferred template according to the regional matching mean;

[0012] If the template correlation degree is greater than or equal to the preset template correlation degree and the report response coefficient is greater than or equal to the preset report response coefficient, the preferred template generation method is to generate the preferred template according to the information matching amplitude.

[0013] Furthermore, the optimal template is recombined according to the regional matching mean, including:

[0014] The earthquake event response technical report template with the largest regional matching mean is used as the pre-reorganization template, and the reorganization method corresponding to each to-be-reorganized title in the pre-reorganization template is determined according to the replacement difficulty coefficient;

[0015] For a single title to be reorganized,

[0016] If the replacement difficulty coefficient is greater than or equal to the preset replacement difficulty coefficient, the reorganization method is based on overall replacement;

[0017] If the replacement difficulty coefficient is less than the preset replacement difficulty coefficient, the reorganization method is partial reorganization;

[0018] The title to be reorganized is a title corresponding to a template keyword in the pre-reorganization template that does not appear in the seismic business data.

[0019] Furthermore, in the partial reorganization, the keyword replacement method corresponding to each to-be-replaced template keyword in the to-be-reorganized title is determined based on the interaction influence coefficient;

[0020] For a single template keyword to be replaced,

[0021] If the interaction influence coefficient is greater than or equal to the preset interaction influence coefficient, the keyword replacement method is template selection replacement;

[0022] If the interaction influence coefficient is less than the preset interaction influence coefficient, the keyword replacement method is data selection replacement;

[0023] The template keywords to be replaced are template keywords in the pre-reorganized template that do not appear in the seismic business data.

[0024] Furthermore, the report update method is determined based on the earthquake impact coefficient and the amount of public opinion information, including:

[0025] If the earthquake impact coefficient is less than the preset earthquake impact coefficient and the amount of public opinion information is less than the preset amount of public opinion information, the report update method is to increase the report update frequency according to the comprehensive evaluation value;

[0026] If the earthquake impact coefficient is greater than or equal to the preset earthquake impact coefficient or the amount of public opinion information is greater than or equal to the preset amount of public opinion information, the report update method is to determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area;

[0027] The increase in the report update frequency is negatively correlated with the comprehensive evaluation value.

[0028] Furthermore, the method for selecting effective public opinion pages is determined based on the redundancy coefficient and the correlation impact threshold, including:

[0029] If the redundancy coefficient is less than the preset redundancy coefficient and the correlation impact threshold is less than the preset correlation impact threshold, the valid public opinion page is selected based on the historical fit coefficient and the risk assessment coefficient;

[0030] If the redundancy coefficient is greater than or equal to the preset redundancy coefficient or the correlation influence threshold is greater than or equal to the preset correlation influence threshold, the effective public opinion page is selected based on the data richness.

[0031] Furthermore, an initial effective public opinion area in the effective public opinion page is determined according to the effective reference value and the shift coefficient, and an increase adjustment is performed on the initial effective public opinion area according to the correlation coefficient;

[0032] The initial effective public opinion area after the increase adjustment is recorded as the effective public opinion area;

[0033] The initial effective public opinion area is positively correlated with the effective reference value and the shift coefficient;

[0034] The increase value of the initial effective public opinion area is positively correlated with the correlation coefficient.

[0035] Furthermore, the report supplement method is determined based on the characteristic correlation coefficient of the effective public opinion area, including:

[0036] If the feature correlation coefficient is greater than or equal to the preset feature correlation coefficient, the report supplement method is feature text supplement;

[0037] If the feature correlation coefficient is less than the preset feature correlation coefficient, the report supplement method is to supplement the associated text.

[0038] Furthermore, the method for confirming the characteristic correlation coefficient includes:

[0039] If the proportion of identical keywords is greater than or equal to the preset proportion of identical keywords, the feature correlation coefficient is determined based on the proportion of identical keywords and the correlation proportion;

[0040] If the proportion of identical keywords is less than the preset proportion of identical keywords, the feature correlation coefficient is determined based on the number of times of identical frequencies.

[0041] Furthermore, the earthquake impact coefficient is determined according to the response level and the earthquake disaster impact value;

[0042] Among them, the earthquake impact coefficient is negatively correlated with the response level, and the earthquake impact coefficient is positively correlated with the earthquake disaster impact value.

[0043] Compared with the existing technology, the beneficial effect of the present invention lies in that, in the technical solution of the present invention, the matching degree of the earthquake event response technical report template is effectively reflected through the template correlation and the report response coefficient, and then different preferred template generation methods are adaptively selected according to the template correlation and the report response coefficient, ensuring that the generated report content is both accurate and in line with actual needs, which can reduce information redundancy and misleading, and improve the overall quality of the earthquake event response technical report.

[0044] Furthermore, the present invention effectively reflects the urgency of earthquake events and the degree of public attention through the earthquake impact coefficient and the amount of public opinion information, and then adaptively selects different report update methods according to the earthquake impact coefficient and the amount of public opinion information, so that the determined report update method can ensure that after the earthquake occurs, the report content can be updated in time with the development of the earthquake situation and the changes in public information needs, which helps to generate earthquake event response technical reports with accurate content and prominent focus, can enhance the public's trust in earthquake emergency response work, and create favorable conditions for subsequent rescue and recovery work. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of an earthquake emergency response method according to the present invention;

[0046] Figure 2 This is a flow chart of the present invention for determining a preferred template generation method based on template correlation and report response coefficient;

[0047] Figure 3 This is a flow chart of the present invention for determining a report update method based on an earthquake impact coefficient and public opinion information volume;

[0048] Figure 4 A flowchart for determining the report supplement method based on the characteristic correlation coefficient of the effective public opinion area. DETAILED DESCRIPTION

[0049] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0051] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0052] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0053] See also Figures 1 to 4 As shown, the present invention provides an earthquake event emergency response method, comprising:

[0054] Obtain earthquake business data;

[0055] Determine the preferred template generation method based on the template correlation and the report response coefficient. The preferred template generation method is to reorganize the preferred template based on the regional matching mean or to generate the preferred template based on the information matching amplitude;

[0056] Determine the report update method based on the earthquake impact coefficient and the amount of public opinion information. The report update method is to adjust the report update frequency based on the comprehensive evaluation value or determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area;

[0057] The report supplementation method includes feature text supplementation and associated text supplementation.

[0058] The application scenario of the present invention is the automatic generation of an earthquake event response technical report when an earthquake occurs. The earthquake business data is a text containing several monitoring information, and the monitoring information includes but is not limited to the magnitude, focal depth, building area of ​​the earthquake-affected area, and the number of people in the earthquake-affected area. It should be noted that the earthquake business data is updated once at the end of a single monitoring cycle. The earthquake-affected area is a circular area with the intersection of a reference line and the ground as the center and a preset length as the radius. The reference line is a straight line passing through the focal point and perpendicular to the ground. The preset length is positively correlated with the magnitude. This is content that is easy for those skilled in the art to understand and will not be described in detail.

[0059] The present invention is provided with a report template library, which stores a number of earthquake event response technical report templates. A single earthquake event response technical report template contains a number of titles, each title corresponds to a number of template keywords and placeholders corresponding to each template keyword. The titles include but are not limited to basic earthquake information and earthquake impact. The template keywords corresponding to the basic earthquake information include but are not limited to the earthquake name and the time of occurrence. The template keywords corresponding to the earthquake impact include but are not limited to the number of casualties and economic losses. The placeholders corresponding to each template keyword are all []. The present invention is also provided with a public opinion keyword library, which includes a number of keywords related to earthquakes. The public opinion keywords include but are not limited to magnitude, degree of damage, casualties and rescue. This is content that is easy for those skilled in the art to understand and will not be described in detail.

[0060] The present invention is provided with several historical records, and any historical record records the report response coefficient, replacement difficulty coefficient, interaction influence coefficient and earthquake influence coefficient, etc. in the historical process of generating at least one earthquake event response technical report, and each historical record corresponds to a qualified mark, which records whether the generated earthquake event response technical report meets the user's needs. The qualified mark can be recorded manually. It can be understood that the user can determine whether the earthquake event response technical report generation process meets the needs based on self-set indicators. The self-set indicators can be but not limited to the error generation frequency, which will not be elaborated here. The error generation frequency is the template keywords that exist in the generated earthquake event response technical report but are not in the earthquake business data;

[0061] The present invention is provided with a target coefficient and a related threshold value, and the corresponding relationship between the target coefficient and the related threshold value is expressed by a weight formula, which is: target coefficient = weight coefficient × related threshold value. Specifically, the present invention records the preset length, the increase in the report update frequency, the initial effective public opinion area, the increase in the initial effective public opinion area, the characteristic correlation coefficient and the earthquake disaster impact value as the target coefficient, and records the magnitude, comprehensive evaluation value, evaluation threshold, correlation coefficient, number of same frequency, number of deaths and dangerous frequency as the related threshold value. It can be understood that the target coefficients all have corresponding related threshold values. For example, the preset length and the magnitude have a positive correlation, and the positive correlation between the preset length and the magnitude is expressed by the weight formula. The value of the weight coefficient can be determined by the user's historical experience according to the degree of influence of the magnitude on the preset length, and can be combined with the historical record of the automatic generation of earthquake event response technical reports when multiple earthquakes occur to optimize the value of the weight coefficient by a multi-layer perceptron. The use of a multi-layer perceptron to optimize the value of the weight coefficient is content that is easy for technicians in this field to understand, and will not be elaborated on in detail. The value principles of the weight coefficients corresponding to other target coefficients and related thresholds are the same, and will not be elaborated on here.

[0062] The present invention sets up a continuous cycle of monitoring after an earthquake occurs. At the end of each monitoring cycle, the earthquake impact coefficient and the amount of public opinion information are determined. The length of the monitoring cycle can be set according to user needs. The greater the user's demand for the accuracy of monitoring the earthquake impact coefficient and the amount of public opinion information, the shorter the monitoring cycle length. A value of the monitoring cycle length is provided, and the monitoring cycle length is 10 minutes.

[0063] Specifically, the preferred template generation method is determined based on the template relevance and report response coefficient, including:

[0064] If the template correlation is less than the preset template correlation or the report response coefficient is less than the preset report response coefficient, the preferred template generation method is to reorganize the preferred template according to the regional matching mean;

[0065] If the template correlation degree is greater than or equal to the preset template correlation degree and the report response coefficient is greater than or equal to the preset report response coefficient, the preferred template generation method is to generate the preferred template according to the information matching amplitude.

[0066] The template keywords that appear in the earthquake business data in each earthquake event response technical report template are recorded as the first keywords, and the template keywords that do not appear in the earthquake business data are recorded as the second keywords;

[0067] The template relevance is the maximum value among the sub-relevances corresponding to each earthquake event response technical report template. The sub-relevance corresponding to a single earthquake event response technical report template = the number of first keywords in the earthquake event response technical report template / the total number of template keywords in the earthquake event response technical report template;

[0068] The report response coefficient is the average value of the sub-response coefficients corresponding to each earthquake event response technical report template. The sub-response coefficient corresponding to a single earthquake event response technical report template = ln (the minimum value of the title completeness corresponding to each title in the earthquake event response technical report template) × (the average value of the emergence coefficients corresponding to each first keyword in the earthquake event response technical report template). The title completeness corresponding to a single title = (the number of first keywords in each template keyword corresponding to the title) / (the total number of template keywords corresponding to the title). The emergence coefficient corresponding to a single first keyword is the number of times the first keyword appears in the earthquake business data.

[0069] The values ​​of the preset template correlation degree and the preset report response coefficient can be determined by the user according to the actual application scenario. The larger the values ​​of the preset template correlation degree and the preset report response coefficient, the greater the user's demand for reorganizing the report file template according to the regional matching coefficient. Provided are values ​​of the preset template correlation degree and the preset report response coefficient. The preset template correlation degree is 70%. The historical records of generating the preferred template according to the information matching amplitude are detected, and the average value of the report response coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset report response coefficient.

[0070] Generate a preferred template according to the information matching amplitude, including: deleting each first keyword and the placeholder corresponding to each first keyword in the earthquake event response technical report template with the largest information matching amplitude as the preferred template; information matching amplitude = sub-response coefficient × sub-correlation degree.

[0071] Specifically, the optimal template is recombined based on the regional matching mean, including:

[0072] The earthquake event response technical report template with the largest regional matching mean is used as the pre-reorganization template, and the reorganization method corresponding to each to-be-reorganized title in the pre-reorganization template is determined according to the replacement difficulty coefficient;

[0073] For a single title to be reorganized,

[0074] If the replacement difficulty coefficient is greater than or equal to the preset replacement difficulty coefficient, the reorganization method is based on overall replacement;

[0075] If the replacement difficulty coefficient is less than the preset replacement difficulty coefficient, the reorganization method is partial reorganization;

[0076] The title to be reorganized is a title corresponding to a template keyword in the pre-reorganization template that does not appear in the seismic business data.

[0077] Among them, the regional matching mean is the average value of the regional matching coefficients corresponding to each title in a single earthquake event response technical report template. The method for confirming the regional matching coefficient is as follows: for a single earthquake event response technical report template, the earthquake event response technical report template is recorded as the target template, and other earthquake event response technical report templates other than the target template are recorded as reference templates. For a single title in the target template, the title is recorded as the target title, and the earthquake event response technical report template in which the target title appears is recorded as the template to be analyzed. The regional matching coefficient corresponding to the target title = the number of templates to be analyzed + the number of templates to be analyzed in which the first keyword corresponding to the target title does not appear;

[0078] The replacement difficulty coefficient corresponding to a single title to be reorganized = the number of first keywords in the title to be reorganized / the regional matching coefficient corresponding to the title to be reorganized;

[0079] In the overall replacement, for a single title to be reorganized, the analysis title with the largest matching coefficient with the title to be reorganized is selected for replacement, the analysis template containing the analysis title is recorded as the template to be replaced, the template to be replaced with the largest matching evaluation coefficient is used as the replacement template corresponding to the title to be reorganized, and the title to be reorganized and the template keywords and placeholders corresponding to the title to be reorganized are replaced with the analysis title and the template keywords and placeholders in the replacement template corresponding to the analysis title;

[0080] The collocation evaluation coefficient of a single analysis title and a single template to be replaced = 1 / (similarity reference value × first keyword quantity reference value), where the similarity reference value is the number of template keywords corresponding to the analysis title in the template to be replaced and the same template keywords in the pre-reorganized template, and the first keyword quantity reference value is the number of first keywords corresponding to the analysis title in the template to be replaced;

[0081] Record the earthquake event response technical report template except the pre-reorganization template as the analysis template, record each title in the pre-reorganization template as the first title, record the title in the analysis template as the second title, and record the second title different from the first title as the analysis title;

[0082] For a single title to be reorganized in the pre-reorganization template, the title to be reorganized is recorded as a target title to be reorganized, and other titles in the pre-reorganization template except the target title to be reorganized are recorded as reference titles;

[0083] For a single analysis title, record the analysis title as the target analysis title, record the analysis template with the target analysis title as the target analysis template, and the matching coefficient corresponding to the target analysis title = the average proportion of the number of reference titles corresponding to each target analysis template + the average proportion of the analysis corresponding to each target analysis template;

[0084] The ratio of reference titles corresponding to a single target analysis template = the number of reference titles in the target analysis template / the total number of titles in the target analysis template;

[0085] Analysis ratio corresponding to a single target analysis template = number of second keywords corresponding to the target analysis title in the target analysis template / total number of template keywords corresponding to the target analysis title in the target analysis template;

[0086] The value of the preset replacement difficulty coefficient can be determined by the user based on the actual application scenario. The larger the value of the preset replacement difficulty coefficient, the greater the user's need for partial reorganization. A value of the preset replacement difficulty coefficient is provided, and the historical records of partial reorganization are detected. The average value of the replacement difficulty coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset replacement difficulty coefficient.

[0087] Specifically, in the partial reorganization, the keyword replacement method corresponding to each to-be-replaced template keyword in the to-be-reorganized title is determined based on the interaction influence coefficient;

[0088] For a single template keyword to be replaced,

[0089] If the interaction influence coefficient is greater than or equal to the preset interaction influence coefficient, the keyword replacement method is template selection replacement;

[0090] If the interaction influence coefficient is less than the preset interaction influence coefficient, the keyword replacement method is data selection replacement;

[0091] The template keywords to be replaced are template keywords in the pre-reorganized template that do not appear in the seismic business data.

[0092] The method for confirming the interaction influence coefficient is as follows: for a single keyword to be replaced, the title corresponding to the keyword to be replaced is recorded as a reference title, the analysis template with the reference title is recorded as a reference analysis template, and the maximum value of the reference coefficients corresponding to the reference analysis templates is recorded as the interaction influence coefficient;

[0093] The second keyword corresponding to the reference topic in each reference analysis template and the second keyword that is different from the second keyword in the pre-reorganization template is recorded as the target word;

[0094] The reference coefficient corresponding to a single reference analysis template = (the number of target words in the reference analysis template / the number of template keywords corresponding to the reference topic in the reference analysis template) + (the number of template keywords in the reference analysis template that are the same as those in the pre-reorganized template / the number of template keywords in the pre-reorganized template).

[0095] In template selection and replacement, for a single keyword to be replaced, the target word with the largest keyword matching coefficient with the keyword to be replaced is selected for replacement;

[0096] The keyword matching coefficient between a single target word and a single keyword to be replaced = the average of the submatching coefficients corresponding to the reference analysis templates in which the target word appears. The submatching coefficient corresponding to a single reference analysis template in which the target word appears is the number of template keywords corresponding to the reference analysis template that are identical to the template keywords in the pre-reorganized template.

[0097] In data selection replacement, for a single keyword to be replaced, the keyword that has been used with the keyword to be replaced the most times and has not been replaced is replaced;

[0098] The data keywords that have not been replaced are data keywords that have not been replaced with the keywords to be replaced. The data keywords are keywords existing in the earthquake business data. Each keyword in the earthquake business data can be identified by NLP technology. This is content that is easy for those skilled in the art to understand and will not be described in detail.

[0099] The number of times a single keyword to be replaced and a single data keyword are used together is the number of times each associated keyword corresponding to the keyword to be replaced and the data keyword appear simultaneously in the same data paragraph, where the data paragraph is a single paragraph of seismic business data;

[0100] Each associated keyword corresponding to a single keyword to be replaced is a template keyword in the pre-reorganized template having the same title as the keyword to be replaced;

[0101] The value of the preset interaction influence coefficient can be determined by the user according to the actual application scenario. The larger the value of the preset interaction influence coefficient, the greater the user's demand for data selection and replacement. A preset interaction influence coefficient value is provided, and the historical records of template selection and replacement are detected. The average value of the interaction influence coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset interaction influence coefficient;

[0102] The template generated by the preferred template generation method is recorded as the preferred template. It should be noted that the user can supplement the placeholders in the preferred template according to the earthquake business data obtained at the end of the first monitoring cycle after the earthquake to generate an earthquake event response technical report. This is content that is easy for technical personnel in this field to understand and will not be elaborated on in detail.

[0103] Specifically, the report update method is determined based on the earthquake impact coefficient and the amount of public opinion information, including:

[0104] If the earthquake impact coefficient is less than the preset earthquake impact coefficient and the amount of public opinion information is less than the preset amount of public opinion information, the report update method is to increase the report update frequency according to the comprehensive evaluation value;

[0105] If the earthquake impact coefficient is greater than or equal to the preset earthquake impact coefficient or the amount of public opinion information is greater than or equal to the preset amount of public opinion information, the report update method is to determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area;

[0106] The increase in the report update frequency is negatively correlated with the comprehensive evaluation value.

[0107] The amount of public opinion information refers to the number of public opinion pages when the earthquake event response technical report is updated. Web pages containing public opinion keywords are recorded as public opinion pages. Public opinion pages are obtained through automated crawler technology, which is a common technical means in this field and will not be described in detail.

[0108] The values ​​of the preset earthquake impact coefficient and the preset amount of public opinion information can be determined by the user according to the actual application scenario. The greater the user's demand for improving the timeliness of the earthquake event response technical report, the smaller the values ​​of the preset earthquake impact coefficient and the preset amount of public opinion information. A value of the preset earthquake impact coefficient and the preset amount of public opinion information is provided, and the historical records of the user increasing the frequency of report updates according to the comprehensive evaluation value are detected. The average value of the earthquake impact coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset earthquake impact coefficient, and the average value of the amount of public opinion information corresponding to the historical records that can meet the user's needs is recorded as the preset amount of public opinion information;

[0109] Comprehensive evaluation value = earthquake impact coefficient / preset earthquake impact coefficient + public opinion information volume / preset public opinion information volume. The report update frequency is the time interval for updating the generated earthquake event response technical report. In the present invention, the initial report update frequency is 30 minutes.

[0110] Specifically, the method for selecting effective public opinion pages is determined based on the redundancy coefficient and the correlation impact threshold, including:

[0111] If the redundancy coefficient is less than the preset redundancy coefficient and the correlation impact threshold is less than the preset correlation impact threshold, the valid public opinion page is selected based on the historical fit coefficient and the risk assessment coefficient;

[0112] If the redundancy coefficient is greater than or equal to the preset redundancy coefficient or the correlation influence threshold is greater than or equal to the preset correlation influence threshold, the effective public opinion page is selected based on the data richness.

[0113] Among them, the redundancy coefficient = 1-(number of non-redundant public opinion pages / total number of public opinion pages). The method of confirming non-redundant public opinion pages is to record public opinion pages with page richness greater than the preset page richness and page timeliness coefficient greater than the preset page timeliness coefficient as non-redundant public opinion pages;

[0114] Page richness = the number of links in the public opinion page + the number of public opinion keywords in the public opinion page; the page timeliness coefficient is the time between the time the public opinion page was published and the time the earthquake occurred;

[0115] The values ​​of the preset page richness and the preset page timeliness coefficient can be determined by the user according to the actual application scenario. The greater the user's selection accuracy for the effective public opinion page, the greater the values ​​of the preset page richness and the preset page timeliness coefficient. Provide a value of the preset page richness and the preset page timeliness coefficient, detect the historical records of the method of determining the effective public opinion page selection method based on the redundancy coefficient and the associated influence threshold, record the average value of the page richness corresponding to the historical records that can meet the user's needs as the preset page richness, and record the average value of the page timeliness coefficient corresponding to the historical records that can meet the user's needs as the preset page timeliness coefficient;

[0116] The correlation influence threshold is the average of the sub-correlation coefficients corresponding to each non-redundant public opinion page. The sub-correlation coefficient corresponding to a single non-redundant public opinion page is the number of public opinion keywords that are common between the non-redundant public opinion page and other non-redundant public opinion pages except the non-redundant public opinion page.

[0117] The values ​​of the preset redundancy coefficient and the preset association influence threshold can be determined by the user according to the actual application scenario. The smaller the values ​​of the preset redundancy coefficient and the preset association influence threshold, the greater the user's demand for selecting effective public opinion pages based on data richness. A value of the preset redundancy coefficient and the preset association influence threshold is provided, and the historical records of selecting effective public opinion pages based on data richness are detected. The average value of the redundancy coefficient that can meet the user's needs is recorded as the preset redundancy coefficient, and the average value of the association influence threshold that can meet the user's needs is recorded as the preset association influence threshold;

[0118] When selecting valid public opinion pages based on the historical fit coefficient and the risk assessment coefficient, select non-redundant public opinion pages whose historical fit coefficient is greater than the preset historical fit coefficient or whose risk assessment coefficient is greater than the preset risk assessment coefficient as valid public opinion pages;

[0119] When selecting valid public opinion pages based on data richness, non-redundant public opinion pages with data richness greater than the preset data richness are selected as valid public opinion pages;

[0120] The historical fit coefficient is determined by taking a single public opinion page and recording it as the target public opinion page. The public opinion keywords appearing in the target public opinion page are recorded as the target keywords. Valid public opinion pages selected from the historical records that can meet user needs are detected and recorded as historical public opinion pages. The historical fit coefficient corresponding to the target public opinion page = (the number of historical public opinion pages where the target keyword appears) / (the total number of historical public opinion pages).

[0121] The risk assessment coefficient corresponding to a single public opinion page = the number of page views at the end of the current monitoring period + the number of comments on the public opinion page at the end of the current monitoring period; the data richness corresponding to a single public opinion page = 1 / (1 + the sub-correlation coefficient corresponding to the public opinion page);

[0122] The values ​​of the preset historical fit coefficient, preset risk assessment coefficient and preset data richness can be determined by the user according to the actual application scenario. The greater the user's demand for the effectiveness of the selection of effective public opinion pages, the greater the values ​​of the preset historical fit coefficient, preset risk assessment coefficient and preset data richness. A value of a preset historical fit coefficient, preset risk assessment coefficient and preset data richness is provided. The preset historical fit coefficient is 50%. The historical records of selecting effective public opinion pages based on the historical fit coefficient and the risk assessment coefficient are detected, and the average value of the historical fit coefficients corresponding to the historical records that can meet user needs is recorded as the preset historical fit coefficient. The historical records of selecting effective public opinion pages based on data richness are detected, and the average value of the data richness corresponding to the historical records that can meet user needs is recorded as the preset data richness.

[0123] Specifically, the initial effective public opinion area in the effective public opinion page is determined according to the effective reference value and the shift coefficient, and the initial effective public opinion area is increased and adjusted according to the correlation coefficient;

[0124] The initial effective public opinion area after the increase adjustment is recorded as the effective public opinion area;

[0125] The initial effective public opinion area is positively correlated with the effective reference value and the shift coefficient;

[0126] The increase value of the initial effective public opinion area is positively correlated with the correlation coefficient.

[0127] The effective reference value is the total number of public opinion keywords in a single effective public opinion page. The method for determining the error coefficient is as follows: for a single effective public opinion page, each public opinion keyword in the effective public opinion page is recorded as a target public opinion keyword. The error coefficient corresponding to the effective public opinion page = the area of ​​the smallest rectangle that can contain each target public opinion keyword / the effective reference value corresponding to the effective public opinion page;

[0128] The initial valid public opinion area is the number of characters selected from the initial position in a single valid public opinion page in the reading order from front to back; the initial position is the first character of the sentence containing the first public opinion keyword that appears in the reading order from front to back on a single valid public opinion page;

[0129] The initial effective public opinion area is positively correlated with the evaluation threshold, which is: evaluation threshold = effective reference value / average effective reference value corresponding to historical records that can meet user needs + error coefficient / average error coefficient corresponding to historical records that can meet user needs;

[0130] The public opinion keywords within the initial effective public opinion area are recorded as analyzed public opinion keywords, and the public opinion keywords outside the initial effective public opinion area are recorded as public opinion keywords to be analyzed. The correlation coefficient = (number of public opinion keywords to be analyzed / number of analyzed public opinion keywords) + (number of historical public opinion pages where the keywords to be analyzed appear / number of historical public opinion pages where the analyzed keywords appear);

[0131] The increase value of the initial effective public opinion area is the number of characters selected after the last character of the initial effective public opinion area in the reading order from front to back.

[0132] Specifically, the report supplement method is determined based on the characteristic correlation coefficient of the effective public opinion area, including:

[0133] If the feature correlation coefficient is greater than or equal to the preset feature correlation coefficient, the report supplement method is feature text supplement;

[0134] If the feature correlation coefficient is less than the preset feature correlation coefficient, the report supplement method is to supplement the associated text.

[0135] The value of the preset feature correlation coefficient can be determined by the user according to the actual application scenario. The larger the value of the preset feature correlation coefficient, the greater the user's demand for supplementing the associated text. A value of the preset feature correlation coefficient is provided, and the historical records for supplementing the feature text are detected. The average value of the feature correlation coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset feature correlation coefficient.

[0136] In the feature text supplement, the same keywords whose occurrence ratio is greater than the preset occurrence ratio are used as supplementary keywords;

[0137] In the supplementation of associated texts, the historical records containing the different keywords in the analysis scope are detected, and the historical records that can meet the user's needs are recorded as analysis historical records. The supplementary keywords corresponding to each analysis historical record are detected and recorded as supplementary keywords to be selected. The supplementary keywords to be selected whose supplement frequency ratio is greater than the preset supplement frequency ratio are used as supplementary keywords; the analysis scope is each valid public opinion area corresponding to a single historical record;

[0138] The method for confirming the occurrence ratio is as follows: for a single identical keyword, the identical keyword is recorded as the target identical keyword, and the occurrence ratio corresponding to the target identical keyword = the number of valid public opinion areas where the target identical keyword appears / the number of valid public opinion areas;

[0139] The proportion of supplement times corresponding to a single supplementary keyword to be selected = the number of analysis history records in which the supplementary keyword to be selected is used as a supplementary keyword / the total number of analysis history records;

[0140] The values ​​of the preset occurrence ratio and the preset supplement ratio can be determined by the user according to the actual application scenario. The higher the user's demand for improving the relevance of the supplementary content, the larger the values ​​of the preset occurrence ratio and the preset supplement ratio. The values ​​of the preset occurrence ratio and the preset supplement ratio are provided as follows: the preset occurrence ratio is 70% and the preset supplement ratio is 75%.

[0141] It should be noted that in the abnormal emergency response to earthquakes, the user's report update frequency for the earthquake event response technical report is 30 minutes, and when the user updates the earthquake event response technical report, he or she needs to supplement the relevant content corresponding to the supplementary keywords corresponding to the current update time. The relevant content includes several texts with supplementary keywords. There is no limit on the specific number of supplements, and users can supplement them according to actual needs.

[0142] Specifically, the method for confirming the characteristic correlation coefficient includes:

[0143] If the proportion of identical keywords is greater than or equal to the preset proportion of identical keywords, the feature correlation coefficient is determined based on the proportion of identical keywords and the correlation proportion;

[0144] If the proportion of identical keywords is less than the preset proportion of identical keywords, the feature correlation coefficient is determined based on the number of times of identical frequencies.

[0145] Among them, the public opinion keywords appearing in the valid public opinion area corresponding to the selected valid public opinion page are recorded as the first public opinion keywords, the first public opinion keywords that are the same as the template keywords in the earthquake event response technical report are recorded as the same keywords, and the first public opinion keywords that are different from the template keywords corresponding to the earthquake event response technical report are recorded as the different keywords. The proportion of the same keywords = the number of the same keywords / the number of the template keywords in the earthquake event response technical report;

[0146] The value of the preset same keyword ratio can be determined by the user according to the actual application scenario. The larger the value of the preset same keyword ratio is, the greater the user's need to determine the feature correlation coefficient based on the collocation coefficient is. A value of the preset same keyword ratio is provided, and the preset same keyword ratio is 60%;

[0147] If the proportion of identical keywords is greater than or equal to the preset proportion of identical keywords, then the feature correlation coefficient = identical keyword proportion + correlation proportion;

[0148] If the proportion of identical keywords is less than the preset proportion of identical keywords, the characteristic correlation coefficient is positively correlated with the number of identical frequencies;

[0149] Relevance ratio = number of difference keywords appearing in earthquake business data / total number of difference keywords;

[0150] The number of co-frequency times is the average of the sub-co-frequency times corresponding to each difference keyword. The sub-co-frequency times corresponding to a single difference keyword is the average of the co-frequency reference values ​​corresponding to the difference keyword and each identical keyword. The co-frequency reference value corresponding to a single difference keyword and a single identical keyword is the number of valid public opinion pages where the difference keyword and the identical keyword appear at the same time.

[0151] Specifically, the earthquake impact coefficient is determined according to the response level and the earthquake disaster impact value;

[0152] Among them, the earthquake impact coefficient is negatively correlated with the response level, and the earthquake impact coefficient is positively correlated with the earthquake disaster impact value.

[0153] Among them, the response levels include 1, 2, 3 and 4. The response level for earthquakes with a magnitude of less than or equal to 4.9 is 4, the response level for earthquakes with a magnitude greater than 4.9 and less than or equal to 5.9 is 3, the response level for earthquakes with a magnitude greater than 5.9 and less than or equal to 6.9 is 2, and the response level for earthquakes with a magnitude greater than 6.9 is 1;

[0154] Methods for confirming earthquake disaster impact values ​​include:

[0155] If the building area ratio in the earthquake-affected area is greater than or equal to the preset building area ratio, the earthquake disaster impact value is determined based on the number of deaths, where the earthquake disaster impact value is positively correlated with the number of deaths.

[0156] If the building area ratio in the earthquake-affected area is less than the preset building area ratio, the earthquake disaster impact value is determined according to the hazard frequency, wherein the earthquake disaster impact value is positively correlated with the hazard frequency;

[0157] The method of confirming the hazard frequency is to record the historical records with the same magnitude as the current earthquake and the same building area as the current earthquake as the reference historical records, and record the number of reference historical records with casualties as the hazard frequency;

[0158] Ratio of building area in earthquake-affected area = building area in earthquake-affected area / area of ​​earthquake-affected area;

[0159] The value of the preset building area ratio can be determined by the user according to the actual application scenario. The larger the value of the preset building area ratio is, the greater the user's need to determine the earthquake disaster impact value based on the hazard frequency. A value of the preset building area ratio is provided, and the preset building area ratio is 30%;

[0160] Earthquake impact coefficient = (1-response level / average value of response levels corresponding to each historical record) + earthquake disaster impact value / average value of earthquake disaster impact values ​​corresponding to each historical record.

[0161] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0162] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for emergency response to earthquake events, characterized in that: include: Obtain earthquake business data; Determine the preferred template generation method based on the template correlation and the report response coefficient. The preferred template generation method is to reorganize the preferred template based on the regional matching mean or to generate the preferred template based on the information matching amplitude; Determine the report update method based on the earthquake impact coefficient and the amount of public opinion information. The report update method is to adjust the report update frequency based on the comprehensive evaluation value or determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area; The report supplementation method includes feature text supplementation and associated text supplementation.

2. The earthquake emergency response method according to claim 1, characterized in that: The preferred template generation method is determined based on the template relevance and report response coefficient, including: If the template correlation is less than the preset template correlation or the report response coefficient is less than the preset report response coefficient, the preferred template generation method is to reorganize the preferred template according to the regional matching mean; If the template correlation degree is greater than or equal to the preset template correlation degree and the report response coefficient is greater than or equal to the preset report response coefficient, the preferred template generation method is to generate the preferred template according to the information matching amplitude.

3. The earthquake emergency response method according to claim 3, characterized in that: Optimal template reassembly based on regional matching averages includes: The earthquake event response technical report template with the largest regional matching mean is used as the pre-reorganization template, and the reorganization method corresponding to each to-be-reorganized title in the pre-reorganization template is determined according to the replacement difficulty coefficient; For a single title to be reorganized, If the replacement difficulty coefficient is greater than or equal to the preset replacement difficulty coefficient, the reorganization method is based on overall replacement; If the replacement difficulty coefficient is less than the preset replacement difficulty coefficient, the reorganization method is partial reorganization; The title to be reorganized is a title corresponding to a template keyword in the pre-reorganization template that does not appear in the seismic business data.

4. The earthquake emergency response method according to claim 3, characterized in that: In the partial reorganization, the keyword replacement method corresponding to each to-be-replaced template keyword in the to-be-reorganized title is determined based on the interaction influence coefficient; For a single template keyword to be replaced, If the interaction influence coefficient is greater than or equal to the preset interaction influence coefficient, the keyword replacement method is template selection replacement; If the interaction influence coefficient is less than the preset interaction influence coefficient, the keyword replacement method is data selection replacement; The template keywords to be replaced are template keywords in the pre-reorganized template that do not appear in the seismic business data.

5. The earthquake emergency response method according to claim 4, characterized in that: The report update method is determined based on the earthquake impact coefficient and the amount of public opinion information, including: If the earthquake impact coefficient is less than the preset earthquake impact coefficient and the amount of public opinion information is less than the preset amount of public opinion information, the report update method is to increase the report update frequency according to the comprehensive evaluation value; If the earthquake impact coefficient is greater than or equal to the preset earthquake impact coefficient or the amount of public opinion information is greater than or equal to the preset amount of public opinion information, the report update method is to determine the report supplement method based on the characteristic correlation coefficient of the effective public opinion area; The increase in the report update frequency is negatively correlated with the comprehensive evaluation value.

6. The earthquake emergency response method according to claim 5, characterized in that: The method for selecting effective public opinion pages is determined based on the redundancy coefficient and the associated impact threshold, including: If the redundancy coefficient is less than the preset redundancy coefficient and the correlation impact threshold is less than the preset correlation impact threshold, the valid public opinion page is selected based on the historical fit coefficient and the risk assessment coefficient; If the redundancy coefficient is greater than or equal to the preset redundancy coefficient or the correlation influence threshold is greater than or equal to the preset correlation influence threshold, the effective public opinion page is selected based on the data richness.

7. The earthquake emergency response method according to claim 6, characterized in that: Determine the initial effective public opinion area in the effective public opinion page based on the effective reference value and the shift coefficient, and increase and adjust the initial effective public opinion area based on the correlation coefficient; The initial effective public opinion area after the increase adjustment is recorded as the effective public opinion area; The initial effective public opinion area is positively correlated with the effective reference value and the shift coefficient; The increase value of the initial effective public opinion area is positively correlated with the correlation coefficient.

8. The earthquake emergency response method according to claim 7, characterized in that: The report supplement method is determined based on the characteristic correlation coefficient of the effective public opinion area, including: If the feature correlation coefficient is greater than or equal to the preset feature correlation coefficient, the report supplement method is feature text supplement; If the feature correlation coefficient is less than the preset feature correlation coefficient, the report supplement method is to supplement the associated text.

9. The earthquake emergency response method according to claim 8, characterized in that: Methods for confirming the characteristic correlation coefficient include: If the proportion of identical keywords is greater than or equal to the preset proportion of identical keywords, the feature correlation coefficient is determined based on the proportion of identical keywords and the correlation proportion; If the proportion of identical keywords is less than the preset proportion of identical keywords, the feature correlation coefficient is determined based on the number of times of identical frequencies.

10. The earthquake emergency response method according to claim 5, characterized in that: The earthquake impact coefficient is determined according to the response level and the earthquake disaster impact value; Among them, the earthquake impact coefficient is negatively correlated with the response level, and the earthquake impact coefficient is positively correlated with the earthquake disaster impact value.

Images