CN117114425B - Intelligent early warning method, system and medium for coping with emergency - Google Patents
Intelligent early warning method, system and medium for coping with emergency Download PDFInfo
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Abstract
The application provides an intelligent early warning method, system and medium for handling emergency. The method comprises the following steps: basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted, the basic element characteristic data are analyzed and processed to obtain natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes, then emergency early warning parameters are obtained through calculation according to the obtained risk indexes, the emergency early warning parameters are compared with preset emergency early warning parameter thresholds, early warning grades are judged according to threshold comparison results, and an emergency plan with the highest grade and grade matching degree is selected as a reference emergency plan through automatic comparison with the emergency plan grade and the emergency plan grade.
Description
Technical Field
The application relates to the technical field of big data and intelligent early warning, in particular to an intelligent early warning method, system and medium for coping with sudden events.
Background
The traditional emergency early warning method is generally based on historical data and a simple statistical model, cannot fully consider complex space-time dynamic changes and influence factors, cannot comprehensively analyze and further early warn emergency events according to real-time monitored life basic guarantee supply conditions, economic and industrial conditions, climate and geography conditions, sanitary and safety conditions and the like, lacks accuracy, cannot select an optimal emergency plan according to early warning grades and risk categories, and cannot meet the requirements of modern society on emergency early warning.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The application aims to provide an intelligent early warning method, system and medium for coping with emergency, wherein the method comprises the following steps: basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted, the basic element characteristic data are analyzed and processed to obtain natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes, then emergency early warning parameters are obtained through calculation according to the obtained risk indexes, the emergency early warning parameters are compared with preset emergency early warning parameter thresholds, early warning grades are judged according to threshold comparison results, and an emergency plan with the highest grade and grade matching degree is selected as a reference emergency plan through automatic comparison with the emergency plan grade and the emergency plan grade.
The application also provides an intelligent early warning method for handling the emergency, which comprises the following steps:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public health risk index;
calculating the basic guarantee data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
and comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value, and judging the early-warning level according to a threshold value comparison result.
Optionally, in the intelligent early warning method for handling an emergency described in the present application, the acquiring basic element information within a preset area range and extracting basic element feature data includes basic guarantee data, economic industry data, climate geographic data and health safety data includes:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
the basic guarantee data comprise water supply and power supply data, water and power consumption data, material supply data and material consumption data;
the economic industry data includes industry data, agricultural industry data, and economic operation index;
the climate geographic data comprises climate meteorological data, natural geographic data and ecological environment data;
the health safety data includes medical visit data and food safety data.
Optionally, in the method for intelligent early warning of emergency, the analyzing the weather geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing the weather geographic data in combination with the health safety data and the natural disaster risk index to obtain a public health risk index includes:
Inputting the weather meteorological data, natural geographic data, ecological environment data and the agricultural industry data into a preset natural disaster risk prediction model for analysis and processing to obtain a natural disaster risk index;
and inputting the weather data and the medical treatment data, the food safety data and the natural disaster risk index into a preset public health risk monitoring model for analysis and treatment to obtain a public health risk index.
Optionally, in the method for intelligent early warning of emergency, the calculating the basic security data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index includes:
calculating the water supply and power supply data, the water and power consumption data and the industrial industry data, the agricultural industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
the calculation formula of the water supply and power supply risk index is as follows:
；
wherein,providing water supply with risk index->Supply data for water supply, < >>For water consumption data->Is industrial industry data>Is agro-industry data >Is a natural disaster risk index->、/>Is a preset characteristic coefficient.
Optionally, in the method for intelligent early warning of emergency, the calculating the basic security data, the economic industry data, the natural disaster risk index and the public health risk index to obtain a material shortage risk index includes:
calculating the material supply data, the material consumption data, the economic operation index and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
the calculation formula of the material shortage risk index is as follows:
；
wherein,is a risk index of shortage of materials>Supply data for supplies->For material consumption data, < > for>For economic operation index>For public health risk index->、/>Is a preset characteristic coefficient.
Optionally, in the intelligent early warning method for handling an emergency described in the present application, the analyzing and processing are performed according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index, and the material shortage risk index, to obtain an emergency early warning parameter, including:
calculating through an emergency early warning model according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
The calculation formula of the emergency early warning parameters is as follows:
；
wherein,for the emergency early warning parameter, < >>、/>、/>、/>Is a preset characteristic coefficient.
Optionally, in the intelligent early warning method for handling an emergency, the threshold comparing the emergency early warning parameter with a preset emergency early warning parameter threshold, and determining the early warning level according to the threshold comparison result includes:
comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value;
obtaining an early warning grade according to the range grade of the threshold value comparison result;
and carrying out intelligent early warning on the emergency according to the early warning grade.
Optionally, in the intelligent early warning method for handling an emergency described in the present application, the method further includes:
obtaining an emergency plan and a corresponding emergency plan grade and an emergency plan category thereof;
sequencing the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index according to the sequence of the numerical values from the big to the small, and selecting the accident category corresponding to the index of the first sequence as the early warning accident category;
respectively carrying out similarity comparison on the early warning accident category and the emergency plan category, and respectively carrying out similarity comparison on the early warning grade and the emergency plan grade;
Selecting a plan with the highest category matching degree and the highest level matching degree as a reference emergency plan;
and automatically pushing the reference emergency plan to a command center.
In a second aspect, the present application provides an intelligent early warning system for handling an emergency, the system comprising: the intelligent early warning system comprises a memory and a processor, wherein the memory comprises a program of an intelligent early warning method for handling emergency, and the program of the intelligent early warning method for handling emergency realizes the following steps when being executed by the processor:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public health risk index;
calculating the basic guarantee data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
Analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
and comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value, and judging the early-warning level according to a threshold value comparison result.
In a third aspect, the present application further provides a computer readable storage medium, where the computer readable storage medium includes an intelligent early warning method program for handling an emergency, where the intelligent early warning method program for handling an emergency implements the steps of the intelligent early warning method for handling an emergency according to any one of the above steps when the intelligent early warning method program for handling an emergency is executed by a processor.
As can be seen from the above, the method, system and medium for intelligent early warning for handling emergency provided in the embodiments of the present application include: basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted, the basic element characteristic data are analyzed and processed to obtain natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes, then emergency early warning parameters are obtained through calculation according to the obtained risk indexes, the emergency early warning parameters are compared with preset emergency early warning parameter thresholds, early warning grades are judged according to threshold comparison results, and an emergency plan with the highest grade and grade matching degree is selected as a reference emergency plan through automatic comparison with the emergency plan grade and the emergency plan grade.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an intelligent early warning method for handling emergency events according to an embodiment of the present application;
fig. 2 is a flowchart of extracting basic element feature data in the intelligent early warning method for handling emergency according to the embodiment of the present application;
fig. 3 is a flowchart of obtaining public health risk indexes according to an intelligent early warning method for handling emergency events according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of an intelligent early warning system for handling emergency events according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent early warning method for handling emergency events according to some embodiments of the present application. The intelligent early warning method for handling the emergency is used in terminal equipment, such as a computer, a mobile phone terminal and the like. The intelligent early warning method for handling the emergency event comprises the following steps:
s101, acquiring basic element information in a preset area range and extracting basic element characteristic data, wherein the basic element characteristic data comprise basic guarantee data, economic industry data, climate geographic data and sanitary safety data;
s102, analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public sanitary risk index;
s103, combining the basic guarantee data with the economic industry data and the natural disaster risk index to calculate and process to obtain a water supply and power supply risk index;
s104, calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
S105, analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
s106, comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value, and judging the early-warning level according to a threshold value comparison result.
It should be noted that, in order to achieve the purpose of intelligent early warning of an emergency and obtaining an optimal emergency plan, first, basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and health safety data is extracted, the climate geographic data and the economic industry data are analyzed and processed to obtain a natural disaster risk index, the climate geographic data is analyzed and processed in combination with the health safety data and the natural disaster risk index to obtain a public health risk index, the basic guarantee data is calculated and processed in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index, the basic guarantee data, the economic industry data, the natural disaster risk index and the public health risk index are calculated and processed to obtain a material shortage risk index, the early warning parameter of the emergency is obtained by analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index, the early warning parameter of the emergency is compared with a preset emergency early warning parameter threshold value by threshold value, and the early warning level is judged according to a threshold value comparison result.
Referring to fig. 2, fig. 2 is a flowchart of extracting basic element feature data of an intelligent early warning method for handling an emergency in some embodiments of the present application. According to the embodiment of the invention, the basic element information in the preset area range is acquired, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data is extracted, specifically:
s201, acquiring basic element information in a preset area range and extracting basic element characteristic data, wherein the basic element characteristic data comprise basic guarantee data, economic industry data, climate geographic data and sanitary safety data;
s202, the basic guarantee data comprise water supply and power supply data, water and power consumption data, material supply data and material consumption data;
s203, the economic industry data comprises industrial industry data, agricultural industry data and economic operation indexes;
s204, the climate geographic data comprise climate meteorological data, natural geographic data and ecological environment data;
s205, the sanitary safety data includes medical visit data and food safety data.
In order to obtain a risk index by analyzing and processing the obtained elements, the basic element information in the range of the preset area is firstly obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and health safety data are extracted, wherein the basic guarantee data include water supply and power supply data, water and electricity consumption data, material supply data and material consumption data, the economic industry data include industrial industry data, agricultural industry data and economic operation indexes, the climate geographic data include climate weather data, natural geographic data and ecological environment data, and the health safety data include medical treatment data and food safety data.
Referring to fig. 3, fig. 3 is a flowchart of obtaining public health risk indexes according to an intelligent early warning method for handling emergency events in some embodiments of the present application. According to the embodiment of the invention, the climate geographic data and the economic industry data are analyzed and processed to obtain a natural disaster risk index, and the climate geographic data is combined with the sanitary safety data and the natural disaster risk index to obtain a public sanitary risk index, which is specifically as follows:
s301, inputting the weather data, the natural geographic data, the ecological environment data and the agricultural industry data into a preset natural disaster risk prediction model for analysis and processing to obtain a natural disaster risk index;
s302, inputting the weather data and the medical treatment data, the food safety data and the natural disaster risk index into a preset public health risk monitoring model for analysis and treatment to obtain a public health risk index.
It should be noted that, in order to obtain a natural disaster risk index so as to evaluate the risk of the local area suffering from a natural disaster, the weather meteorological data, the natural geographic data, the ecological environment data and the agricultural industry data are input into a preset natural disaster risk prediction model for analysis and processing, so as to obtain the natural disaster risk index, wherein the natural disaster risk prediction model is a model obtained by training the weather meteorological data, the natural geographic data, the ecological environment data, the agricultural industry data and the natural disaster risk index which are input with a large number of historical samples, and the corresponding output natural disaster risk index can be obtained by inputting relevant information for processing; in order to obtain a public health risk index so as to evaluate the risk of a public health safety event in the area, the weather and weather data are input into a preset public health risk monitoring model in combination with medical treatment and diagnosis data, food safety data and natural disaster risk index to be analyzed and processed, and the public health risk index is obtained, wherein the public health risk monitoring model is obtained by training the weather and weather data, the medical treatment and diagnosis data, the food safety data, the natural disaster risk index and the public health risk index which are input with a large number of historical samples, and the correspondingly output public health risk index can be obtained by inputting relevant information to be processed.
According to the embodiment of the invention, the basic guarantee data is combined with the economic industry data and the natural disaster risk index to be calculated, so as to obtain a water supply and power supply risk index, which is specifically as follows:
calculating the water supply and power supply data, the water and power consumption data and the industrial industry data, the agricultural industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
the calculation formula of the water supply and power supply risk index is as follows:
；
wherein,providing water supply with risk index->Supply data for water supply, < >>For water consumption data->Is industrial industry data>Is agro-industry data>Is a natural disaster risk index->、/>Is a preset characteristic coefficient.
In order to obtain a water supply and power supply risk index to evaluate the risk of water and electricity shortage in a convenient area, water supply and power supply data, water and power consumption data and industrial industry data, agricultural industry data and natural disaster risk index are calculated and processed to obtain the water supply and power supply risk index.
According to the embodiment of the invention, the basic guarantee data, the economic industry data, the natural disaster risk index and the public health risk index are calculated to obtain the material shortage risk index, which is specifically as follows:
Calculating the material supply data, the material consumption data, the economic operation index and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
the calculation formula of the material shortage risk index is as follows:
；
wherein,is a risk index of shortage of materials>Supply data for supplies->For material consumption data, < > for>For economic operation index>For public health risk index->、/>Is a preset characteristic coefficient.
In order to obtain a material shortage risk index so as to evaluate the risk of material shortage in the area, the material supply data, the material consumption data, the economic operation index, the natural disaster risk index and the public health risk index are calculated to obtain the material shortage risk index.
According to the embodiment of the invention, the emergency early warning parameters are obtained by analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index, and specifically the method comprises the following steps:
calculating through an emergency early warning model according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
The calculation formula of the emergency early warning parameters is as follows:
；
wherein,for the emergency early warning parameter, < >>、/>、/>、/>Is a preset characteristic coefficient.
It should be noted that, in order to achieve the purpose of performing intelligent early warning on the emergency in the area, the emergency early warning parameters can be obtained by analyzing and processing the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index, and are used for judging the early warning level.
According to the embodiment of the invention, the threshold value comparison is performed between the emergency early-warning parameter and a preset emergency early-warning parameter threshold value, and the early-warning level is determined according to the threshold value comparison result, specifically:
comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value;
obtaining an early warning grade according to the range grade of the threshold value comparison result;
and carrying out intelligent early warning on the emergency according to the early warning grade.
It should be noted that, comparing the emergency early warning parameter with a preset emergency early warning parameter threshold, obtaining an early warning level according to the range level of the threshold comparison result, and performing intelligent early warning on the emergency according to the early warning level. In this embodiment, the preset threshold range of the threshold comparison result is set to three levels, i, ii, and iii respectively, where the level i threshold range is (0, 0.3), the level ii threshold range is (0.3, 0.7), and the level iii threshold range is (0.7,1), and if the threshold comparison test result of the emergency early warning parameter is 0.5, the corresponding early warning level is level ii.
According to an embodiment of the present invention, further comprising:
obtaining an emergency plan and a corresponding emergency plan grade and an emergency plan category thereof;
sequencing the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index according to the sequence of the numerical values from the big to the small, and selecting the accident category corresponding to the index of the first sequence as the early warning accident category;
respectively carrying out similarity comparison on the early warning accident category and the emergency plan category, and respectively carrying out similarity comparison on the early warning grade and the emergency plan grade;
selecting a plan with the highest category matching degree and the highest level matching degree as a reference emergency plan;
and automatically pushing the reference emergency plan to a command center.
It should be noted that, in order to select an optimal emergency plan according to the early warning situation, firstly, an emergency plan grade and an emergency plan category corresponding to the emergency plan are obtained, natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes are ordered according to the order of the numerical values from big to small, an accident category corresponding to the index of the first order is selected as an early warning accident category, the early warning accident category is respectively compared with the emergency plan category in similarity, the early warning grade is respectively compared with the emergency plan grade in similarity, and a plan with the highest category matching degree and the highest grade matching degree is selected as a reference emergency plan and is automatically pushed to a command center.
As shown in fig. 4, the invention also discloses an intelligent early warning system 4 for handling emergency events, which comprises a memory 41 and a processor 42, wherein the memory comprises an intelligent early warning method program for handling emergency events, and the intelligent early warning method program for handling emergency events realizes the following steps when being executed by the processor:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public health risk index;
calculating the basic guarantee data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
Analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
and comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value, and judging the early-warning level according to a threshold value comparison result.
It should be noted that, in order to achieve the purpose of intelligent early warning of an emergency and obtaining an optimal emergency plan, first, basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and health safety data is extracted, the climate geographic data and the economic industry data are analyzed and processed to obtain a natural disaster risk index, the climate geographic data is analyzed and processed in combination with the health safety data and the natural disaster risk index to obtain a public health risk index, the basic guarantee data is calculated and processed in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index, the basic guarantee data, the economic industry data, the natural disaster risk index and the public health risk index are calculated and processed to obtain a material shortage risk index, the early warning parameter of the emergency is obtained by analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index, the early warning parameter of the emergency is compared with a preset emergency early warning parameter threshold value by threshold value, and the early warning level is judged according to a threshold value comparison result.
According to the embodiment of the invention, the basic element information in the preset area range is acquired, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data is extracted, specifically:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
the basic guarantee data comprise water supply and power supply data, water and power consumption data, material supply data and material consumption data;
the economic industry data includes industry data, agricultural industry data, and economic operation index;
the climate geographic data comprises climate meteorological data, natural geographic data and ecological environment data;
the health safety data includes medical visit data and food safety data.
In order to obtain a risk index by analyzing and processing the obtained elements, the basic element information in the range of the preset area is firstly obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and health safety data are extracted, wherein the basic guarantee data include water supply and power supply data, water and electricity consumption data, material supply data and material consumption data, the economic industry data include industrial industry data, agricultural industry data and economic operation indexes, the climate geographic data include climate weather data, natural geographic data and ecological environment data, and the health safety data include medical treatment data and food safety data.
According to the embodiment of the invention, the climate geographic data and the economic industry data are analyzed and processed to obtain a natural disaster risk index, and the climate geographic data is combined with the sanitary safety data and the natural disaster risk index to obtain a public sanitary risk index, which is specifically as follows:
inputting the weather meteorological data, natural geographic data, ecological environment data and the agricultural industry data into a preset natural disaster risk prediction model for analysis and processing to obtain a natural disaster risk index;
and inputting the weather data and the medical treatment data, the food safety data and the natural disaster risk index into a preset public health risk monitoring model for analysis and treatment to obtain a public health risk index.
It should be noted that, in order to obtain a natural disaster risk index so as to evaluate the risk of the local area suffering from a natural disaster, the weather meteorological data, the natural geographic data, the ecological environment data and the agricultural industry data are input into a preset natural disaster risk prediction model for analysis and processing, so as to obtain the natural disaster risk index, wherein the natural disaster risk prediction model is a model obtained by training the weather meteorological data, the natural geographic data, the ecological environment data, the agricultural industry data and the natural disaster risk index which are input with a large number of historical samples, and the corresponding output natural disaster risk index can be obtained by inputting relevant information for processing; in order to obtain a public health risk index so as to evaluate the risk of a public health safety event in the area, the weather and weather data are input into a preset public health risk monitoring model in combination with medical treatment and diagnosis data, food safety data and natural disaster risk index to be analyzed and processed, and the public health risk index is obtained, wherein the public health risk monitoring model is obtained by training the weather and weather data, the medical treatment and diagnosis data, the food safety data, the natural disaster risk index and the public health risk index which are input with a large number of historical samples, and the correspondingly output public health risk index can be obtained by inputting relevant information to be processed.
According to the embodiment of the invention, the basic guarantee data is combined with the economic industry data and the natural disaster risk index to be calculated, so as to obtain a water supply and power supply risk index, which is specifically as follows:
calculating the water supply and power supply data, the water and power consumption data and the industrial industry data, the agricultural industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
the calculation formula of the water supply and power supply risk index is as follows:
；
wherein,providing water supply with risk index->Supply data for water supply, < >>For water consumption data->Is industrial industry data>Is agro-industry data>Is a natural disaster risk index->、/>Is a preset characteristic coefficient.
In order to obtain a water supply and power supply risk index to evaluate the risk of water and electricity shortage in a convenient area, water supply and power supply data, water and power consumption data and industrial industry data, agricultural industry data and natural disaster risk index are calculated and processed to obtain the water supply and power supply risk index.
According to the embodiment of the invention, the basic guarantee data, the economic industry data, the natural disaster risk index and the public health risk index are calculated to obtain the material shortage risk index, which is specifically as follows:
Calculating the material supply data, the material consumption data, the economic operation index and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
the calculation formula of the material shortage risk index is as follows:
；
wherein,is a risk index of shortage of materials>Supply data for supplies->For material consumption data, < > for>For economic operation index>For public health risk index->、/>Is a preset characteristic coefficient.
In order to obtain a material shortage risk index so as to evaluate the risk of material shortage in the area, the material supply data, the material consumption data, the economic operation index, the natural disaster risk index and the public health risk index are calculated to obtain the material shortage risk index.
According to the embodiment of the invention, the emergency early warning parameters are obtained by analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index, and specifically the method comprises the following steps:
calculating through an emergency early warning model according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
The calculation formula of the emergency early warning parameters is as follows:
；
wherein,for the emergency early warning parameter, < >>、/>、/>、/>Is a preset characteristic coefficient.
It should be noted that, in order to achieve the purpose of performing intelligent early warning on the emergency in the area, the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index can be analyzed and processed through a calculation formula contained in the emergency early warning model to obtain emergency early warning parameters for judging the early warning level.
According to the embodiment of the invention, the threshold value comparison is performed between the emergency early-warning parameter and a preset emergency early-warning parameter threshold value, and the early-warning level is determined according to the threshold value comparison result, specifically:
comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value;
obtaining an early warning grade according to the range grade of the threshold value comparison result;
and carrying out intelligent early warning on the emergency according to the early warning grade.
It should be noted that, comparing the emergency early warning parameter with a preset emergency early warning parameter threshold, obtaining an early warning level according to the range level of the threshold comparison result, and performing intelligent early warning on the emergency according to the early warning level. In this embodiment, the preset threshold range of the threshold comparison result is set to three levels, i, ii, and iii respectively, where the level i threshold range is (0, 0.3), the level ii threshold range is (0.3, 0.7), and the level iii threshold range is (0.7,1), and if the threshold comparison test result of the emergency early warning parameter is 0.5, the corresponding early warning level is level ii.
According to an embodiment of the present invention, further comprising:
obtaining an emergency plan and a corresponding emergency plan grade and an emergency plan category thereof;
sequencing the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index according to the sequence of the numerical values from the big to the small, and selecting the accident category corresponding to the index of the first sequence as the early warning accident category;
respectively carrying out similarity comparison on the early warning accident category and the emergency plan category, and respectively carrying out similarity comparison on the early warning grade and the emergency plan grade;
selecting a plan with the highest category matching degree and the highest level matching degree as a reference emergency plan;
and automatically pushing the reference emergency plan to a command center.
It should be noted that, in order to select an optimal emergency plan according to the early warning situation, firstly, an emergency plan grade and an emergency plan category corresponding to the emergency plan are obtained, natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes are ordered according to the order of the numerical values from big to small, an accident category corresponding to the index of the first order is selected as an early warning accident category, the early warning accident category is respectively compared with the emergency plan category in similarity, the early warning grade is respectively compared with the emergency plan grade in similarity, and a plan with the highest category matching degree and the highest grade matching degree is selected as a reference emergency plan and is automatically pushed to a command center.
A third aspect of the present invention provides a readable storage medium, where the readable storage medium includes an intelligent early warning method program for handling an emergency, where the intelligent early warning method program for handling an emergency implements the steps of the intelligent early warning method for handling an emergency according to any one of the above steps when the intelligent early warning method program for handling an emergency is executed by a processor.
The invention discloses an intelligent early warning method, a system and a medium for coping with emergency, wherein the method comprises the following steps: basic element information in a preset area range is obtained, basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted, the basic element characteristic data are analyzed and processed to obtain natural disaster risk indexes, public health risk indexes, water supply and power supply risk indexes and material shortage risk indexes, then emergency early warning parameters are obtained through calculation according to the obtained risk indexes, the emergency early warning parameters are compared with preset emergency early warning parameter thresholds, early warning grades are judged according to threshold comparison results, and an emergency plan with the highest grade and grade matching degree is selected as a reference emergency plan through automatic comparison with the emergency plan grade and the emergency plan grade.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (8)
1. An intelligent early warning method for handling emergency events is characterized by comprising the following steps:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public health risk index;
calculating the basic guarantee data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
threshold value comparison is carried out on the emergency early-warning parameters and a preset emergency early-warning parameter threshold value, and the early-warning level is judged according to a threshold value comparison result;
The acquiring basic element information in a preset area range and extracting basic element characteristic data, including basic guarantee data, economic industry data, climate geographic data and health safety data, comprises the following steps:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
the basic guarantee data comprise water supply and power supply data, water and power consumption data, material supply data and material consumption data;
the economic industry data includes industry data, agricultural industry data, and economic operation index;
the climate geographic data comprises climate meteorological data, natural geographic data and ecological environment data;
the health safety data comprises medical treatment data and food safety data;
the calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index comprises the following steps:
calculating the material supply data, the material consumption data, the economic operation index and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
The calculation formula of the material shortage risk index is as follows:
；
wherein,is a risk index of shortage of materials>Supply data for supplies->For material consumption data, < > for>For economic operation index>For public health risk index->、/>Is a preset characteristic coefficient.
2. The intelligent early warning method for handling emergency events according to claim 1, wherein the analyzing the climate and geography data and the economic industry data to obtain a natural disaster risk index, and the analyzing the climate and geography data in combination with the health and safety data and the natural disaster risk index to obtain a public health risk index comprises:
inputting the weather meteorological data, natural geographic data, ecological environment data and the agricultural industry data into a preset natural disaster risk prediction model for analysis and processing to obtain a natural disaster risk index;
and inputting the weather data and the medical treatment data, the food safety data and the natural disaster risk index into a preset public health risk monitoring model for analysis and treatment to obtain a public health risk index.
3. The intelligent early warning method for handling emergency events according to claim 2, wherein the calculating the basic security data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index includes:
Calculating the water supply and power supply data, the water and power consumption data and the industrial industry data, the agricultural industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
the calculation formula of the water supply and power supply risk index is as follows:
；
wherein,providing water supply with risk index->Supply data for water supply, < >>For water consumption data->Is industrial industry data>Is agro-industry data>Is a natural disaster risk index->、/>Is a preset characteristic coefficient.
4. The intelligent early warning method for handling emergency events according to claim 3, wherein the analyzing and processing according to the natural disaster risk index, public health risk index, water supply and power supply risk index and the material shortage risk index to obtain emergency event early warning parameters comprises:
calculating through an emergency early warning model according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
the calculation formula of the emergency early warning parameters is as follows:
；
wherein,for the emergency early warning parameter, < > >、/>、/>、/>Is a preset characteristic coefficient.
5. The intelligent early warning method for handling emergency events according to claim 4, wherein the threshold comparing the emergency warning parameter with a preset emergency warning parameter threshold, and determining the early warning level according to the threshold comparison result comprises:
comparing the emergency early-warning parameter with a preset emergency early-warning parameter threshold value;
obtaining an early warning grade according to the range grade of the threshold value comparison result;
and carrying out intelligent early warning on the emergency according to the early warning grade.
6. The intelligent pre-warning method for handling an emergency event according to claim 5, further comprising:
obtaining an emergency plan and a corresponding emergency plan grade and an emergency plan category thereof;
sequencing the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index according to the sequence of the numerical values from the big to the small, and selecting the accident category corresponding to the index of the first sequence as the early warning accident category;
respectively carrying out similarity comparison on the early warning accident category and the emergency plan category, and respectively carrying out similarity comparison on the early warning grade and the emergency plan grade;
Selecting a plan with the highest category matching degree and the highest level matching degree as a reference emergency plan;
and automatically pushing the reference emergency plan to a command center.
7. An intelligent early warning system for handling emergency events, the system comprising: the intelligent early warning system comprises a memory and a processor, wherein the memory comprises a program of an intelligent early warning method for handling emergency, and the program of the intelligent early warning method for handling emergency realizes the following steps when being executed by the processor:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
analyzing and processing the climate geographic data and the economic industry data to obtain a natural disaster risk index, and analyzing and processing the climate geographic data in combination with the sanitary safety data and the natural disaster risk index to obtain a public health risk index;
calculating the basic guarantee data in combination with the economic industry data and the natural disaster risk index to obtain a water supply and power supply risk index;
calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
Analyzing and processing according to the natural disaster risk index, the public health risk index, the water supply and power supply risk index and the material shortage risk index to obtain emergency early warning parameters;
threshold value comparison is carried out on the emergency early-warning parameters and a preset emergency early-warning parameter threshold value, and the early-warning level is judged according to a threshold value comparison result;
the acquiring basic element information in a preset area range and extracting basic element characteristic data, including basic guarantee data, economic industry data, climate geographic data and health safety data, comprises the following steps:
basic element information in a preset area range is obtained, and basic element characteristic data including basic guarantee data, economic industry data, climate geographic data and sanitary safety data are extracted;
the basic guarantee data comprise water supply and power supply data, water and power consumption data, material supply data and material consumption data;
the economic industry data includes industry data, agricultural industry data, and economic operation index;
the climate geographic data comprises climate meteorological data, natural geographic data and ecological environment data;
the health safety data comprises medical treatment data and food safety data;
The calculating the basic guarantee data, the economic industry data and the natural disaster risk index and the public health risk index to obtain a material shortage risk index comprises the following steps:
calculating the material supply data, the material consumption data, the economic operation index and the natural disaster risk index and the public health risk index to obtain a material shortage risk index;
the calculation formula of the material shortage risk index is as follows:
；
wherein,index of risk for shortage of supplies->Supply data for supplies->For material consumption data, < > for>For economic operation index>For public health risk index->、/>Is a preset characteristic coefficient.
8. A computer readable storage medium, wherein the computer readable storage medium includes an intelligent early warning method program for handling an emergency, and when the intelligent early warning method program for handling an emergency is executed by a processor, the steps of the intelligent early warning method for handling an emergency according to any one of claims 1 to 6 are implemented.
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