CN113077609A - Natural disaster early warning system and method based on big data - Google Patents
Natural disaster early warning system and method based on big data Download PDFInfo
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Abstract
The invention is suitable for the technical field of disaster early warning, and provides a natural disaster early warning system and a natural disaster early warning method based on big data, wherein the method comprises the following steps: acquiring underground water body characteristic information, and performing data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information; obtaining mountain surface characteristic information, and performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in a cloud server to generate mountain surface early warning information; and the central early warning system analyzes and judges the underground water body early warning information and the mountain surface early warning information and generates disaster early warning information of corresponding levels. The method can monitor the color, the bubbles and the temperature characteristics of the underground water body, and when the color, the bubbles or the temperature characteristics are abnormal, the underground water body is indicated to have signs of cloudiness, bubbling, turning, color change, temperature rise and the like, which indicates that the region has the risk of geological disasters.
Description
Technical Field
The invention relates to the technical field of disaster early warning, in particular to a natural disaster early warning system and method based on big data.
Background
Natural disasters refer to natural phenomena that harm human living environment or damage human living environment, including drought, high temperature, low temperature, cold tide, flood, torrential flood, typhoon, tornado, hail, frost, rainstorm, snowstorm, freezing rain, fog, strong wind, freezing, haze, earthquake, tsunami, landslide, debris flow, floating dust, sand raise, sandstorm, thunder, thunderstorm, spherical lightning, volcanic eruption, and the like.
China is a country with various natural disasters, frequent disasters, large population of disasters, serious agricultural disasters and obvious regional differences, and with the continuous progress of science and technology, China has mature early warning capability on meteorological disasters, but still lacks an effective early warning scheme on sudden natural disasters of certain geology.
Therefore, it is desirable to provide a natural disaster warning system and method based on big data, which aims to solve the above problems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a natural disaster early warning system and a natural disaster early warning method based on big data so as to solve the problems in the background technology.
The embodiment of the invention is realized in such a way that a natural disaster early warning method based on big data comprises the following steps:
acquiring underground water body characteristic information, wherein the underground water body characteristic information at least comprises color characteristic information and bubble characteristic information; carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information;
obtaining mountain land surface characteristic information, wherein the mountain land surface characteristic information at least comprises mud water level information and ground sound information; performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in a cloud server to generate mountain surface early warning information;
and sending the underground water body early warning information and the mountain surface early warning information to a central early warning system so that the central early warning system analyzes and judges the underground water body early warning information and the mountain surface early warning information and generates disaster early warning information of corresponding levels.
As a further scheme of the invention: the step of obtaining the characteristic information of the underground water body specifically comprises the following steps:
acquiring underground water body image information and underground water temperature data;
identifying and extracting color characteristic information and bubble characteristic information in the underground water body image information;
and generating underground water body characteristic information according to the underground water temperature data, the color characteristic information and the bubble characteristic information, wherein the underground water body characteristic information carries water body position information.
As a further scheme of the invention: the step of carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information specifically comprises the following steps:
extracting water body position information in the underground water body characteristic information, and acquiring historical water body color information, historical bubble information and historical water temperature data of the water body position in a cloud server;
comparing the color characteristic information with historical water color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; comparing and calculating the underground water temperature data with historical water temperature data to obtain a water temperature difference value;
and judging the color difference value, the bubble quantity difference value and the water temperature difference value, and generating the underground water body early warning information when at least one of the color difference value, the bubble quantity difference value and the water temperature difference value exceeds a corresponding preset threshold value.
As a further scheme of the invention: the step of obtaining mountain surface characteristic information, performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in the cloud server, and generating mountain surface early warning information specifically comprises the following steps:
obtaining muddy water level information, ground sound information and geographical position information of a debris flow monitoring area, wherein the muddy water level information, the ground sound information and the geographical position information form mountain land surface characteristic information;
extracting geographic position information in mountain surface feature information, and acquiring historical muddy water position information and historical ground sound information of the geographic position in a cloud server;
comparing and calculating the mud water level information with historical mud water level information to obtain a mud water level difference value; comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value;
and judging the muddy water difference value and the ground sound difference value, and generating mountain land surface early warning information when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding preset threshold value.
As a further scheme of the invention: the method comprises the following steps of analyzing and judging underground water body early warning information and mountain surface early warning information and generating disaster early warning information of corresponding levels, and specifically comprises the following steps:
counting to obtain the quantity value of the underground water body early warning information of each region, and judging the underground water body early warning information to be true when the quantity value of the underground water body early warning information exceeds a set threshold value;
counting to obtain the quantity value of the mountain surface early warning information in each area, and judging that the mountain surface early warning information is true when the quantity value of the mountain surface early warning information exceeds a set threshold value;
when one of the underground water early warning information or mountain surface early warning information is true, generating second-level disaster early warning information; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
Another object of an embodiment of the present invention is to provide a natural disaster early warning system based on big data, where the system includes:
underground water body collection module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring underground water body characteristic information which at least comprises color characteristic information and bubble characteristic information; carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information, and sending the underground water body early warning information to a central early warning system;
mountain surface collection module: the system comprises a processing unit, a display unit and a display unit, wherein the processing unit is used for acquiring mountain land surface characteristic information which at least comprises muddy water level information and ground sound information; performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in a cloud server to generate mountain surface early warning information, and sending the mountain surface early warning information to a central early warning system;
cloud server: the system comprises an underground water body acquisition module, a mountain body surface acquisition module, a mountain body characteristic information storage module, a mountain body surface storage module and a mountain body surface storage module, wherein the underground water body acquisition module is used for storing historical water body characteristic information and historical mountain body surface information; and
the central early warning system: and analyzing and judging the underground water body early warning information and the mountain surface early warning information and generating disaster early warning information of corresponding levels.
As a further scheme of the invention: the underground water body collection module comprises:
an image acquisition device: the system is used for acquiring underground water body image information;
a temperature sensor: the system is used for acquiring underground water temperature data;
the first GPS positioning device: the system is used for acquiring water body position information;
an image processing unit: the underground water body identification and extraction device is used for identifying and extracting color characteristic information and bubble characteristic information in the underground water body image information, and generating the underground water body characteristic information according to the underground water temperature data, the color characteristic information and the bubble characteristic information.
As a further scheme of the invention: the underground water body acquisition module further comprises:
historical water characteristic information calling unit: acquiring historical water body color information, historical bubble information and historical water temperature data of the water body position in a cloud server according to water body position information in the underground water body characteristic information;
water body characteristic information analysis unit: comparing the color characteristic information with historical water color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; comparing and calculating the underground water temperature data with historical water temperature data to obtain a water temperature difference value;
water body characteristic information determination unit: and judging the color difference value, the bubble quantity difference value and the water temperature difference value, generating underground water body early warning information when at least one of the color difference value, the bubble quantity difference value and the water temperature difference value exceeds a corresponding preset threshold value, and sending the underground water body early warning information to a central early warning system.
As a further scheme of the invention: the mountain surface acquisition module comprises:
a mud water level sensor: the system is used for acquiring mud water level information of a debris flow monitoring area;
the earth sound sensor: the method comprises the steps of acquiring the earth-sound information of a debris flow monitoring area;
and a second GPS positioning device: the system comprises a sensor, a sensor and a controller, wherein the sensor is used for acquiring geographic position information of a debris flow monitoring area, and the mud water level information, the earth sound information and the geographic position information form mountain earth surface characteristic information;
historical mountain land surface information retrieval unit: acquiring historical muddy water level information and historical ground sound information of the geographic position in a cloud server according to geographic position information in mountain land surface characteristic information;
mountain surface information analysis unit: comparing and calculating the mud water level information with historical mud water level information to obtain a mud water level difference value; comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value;
mountain surface determination unit: and judging the muddy water difference value and the ground sound difference value, generating mountain land surface early warning information when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding preset threshold value, and sending the mountain land surface early warning information to a central early warning system.
As a further scheme of the invention: the central early warning system comprises:
underground water body early warning information decision unit: counting to obtain the quantity value of the underground water body early warning information of each region, and judging the underground water body early warning information to be true when the quantity value of the underground water body early warning information exceeds a set threshold value;
mountain surface early warning information determination unit: counting to obtain the quantity value of the mountain surface early warning information in each area, and judging that the mountain surface early warning information is true when the quantity value of the mountain surface early warning information exceeds a set threshold value;
an early warning information generation unit: the system is used for generating disaster early warning information of different levels, and generating second-level disaster early warning information when one of underground water body early warning information or mountain surface early warning information is true; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
Compared with the prior art, the invention has the beneficial effects that: through the arrangement of the underground water body acquisition module, the color, the bubbles and the temperature characteristics of the underground water body can be monitored, when the color, the bubbles or the temperature characteristics are abnormal, the underground water body is proved to have signs of cloudiness, bubbling, flower turning, color change, temperature rise and the like, the risk of geological disasters in the area is shown, in addition, the central early warning system can also judge the truth of the water body early warning information and the mountain surface early warning information and generate disaster early warning information of corresponding levels.
Drawings
Fig. 1 is a flowchart of a natural disaster early warning method based on big data.
Fig. 2 is a flow chart of acquiring characteristic information of an underground water body in a natural disaster early warning method based on big data.
Fig. 3 is a flow chart of analyzing underground water characteristic information in a natural disaster early warning method based on big data.
Fig. 4 is a flowchart of analyzing and determining underground water body early warning information and mountain surface early warning information in a natural disaster early warning method based on big data.
Fig. 5 is a schematic structural diagram of a natural disaster early warning system based on big data.
Fig. 6 is a schematic structural diagram of an underground water body acquisition module in a natural disaster early warning system based on big data.
Fig. 7 is a schematic structural diagram of a mountain surface acquisition module in a natural disaster early warning system based on big data.
Fig. 8 is a schematic structural diagram of a central early warning system in a natural disaster early warning system based on big data.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a natural disaster early warning method based on big data, including the following steps:
s100, obtaining underground water body characteristic information, wherein the underground water body characteristic information at least comprises color characteristic information and bubble characteristic information; and carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information.
Before a geological disaster occurs, underground water bodies comprise well water, spring water and the like, and possible abnormalities include cloudiness, bubbling, flower turning, color changing and the like.
S200, obtaining mountain land surface characteristic information, wherein the mountain land surface characteristic information at least comprises mud water level information and ground sound information; and performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in the cloud server to generate mountain surface early warning information.
The method comprises the steps of obtaining mud water level information and earth sound information of a debris flow monitoring area, wherein the mud water level information is obtained through a mud water level sensor, the earth sound information is obtained through an earth sound sensor with extremely high sensitivity, and the earth sound information can reflect earth sound waves generated when the debris flow occurs; and then comparing and calculating the historical muddy water level information and the historical ground sound information of the site to obtain a muddy water level difference value and a ground sound difference value, and when the muddy water level difference value or the ground sound difference value is larger, indicating that the possibility of generating the debris flow exists in the debris flow monitoring area, and generating mountain ground surface early warning information.
And S300, sending the underground water body early warning information and the mountain surface early warning information to a central early warning system, so that the central early warning system analyzes and judges the underground water body early warning information and the mountain surface early warning information and generates disaster early warning information of corresponding levels.
In the embodiment of the invention, the authenticity of the underground water body early warning information and the mountain surface early warning information needs to be judged, and the underground water body early warning information is sent out only in one place and possibly caused by human factors such as sewer construction and the like, so the underground water body early warning information is not representative, and the underground water body early warning information can be judged to be true only when the underground water body early warning information is sent out in a plurality of places; similarly, the mountain surface early warning information is sent from only one place, which may be caused by human factors such as building construction, so that the mountain surface early warning information is not representative, and the mountain surface early warning information is judged to be true only when a plurality of places send the mountain surface early warning information.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of acquiring characteristic information of an underground water body specifically includes:
s101, obtaining underground water body image information and underground water temperature data.
In the embodiment of the invention, the water body image information can be obtained by a video camera, a camera or monitoring equipment, a plurality of video cameras, cameras or monitoring equipment are arranged in underground water bodies at different places, underground water temperature data can be obtained by a temperature sensor, and a plurality of temperature sensors are also arranged in underground water bodies at different places.
S102, identifying and extracting color characteristic information and bubble characteristic information in the underground water body image information.
S103, generating underground water body characteristic information according to the underground water temperature data, the color characteristic information and the bubble characteristic information, wherein the underground water body characteristic information carries water body position information.
It can be understood that the water body image information may contain interference information of plants, animals, stones and the like, and therefore, it is necessary to identify and extract water body colors and bubbles in the water body image information, obtain color characteristic information and bubble characteristic information, and bind the color characteristic information, the bubble characteristic information, the underground water temperature data and the water body position information of the location together to form the underground water body characteristic information of the location.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of performing data comparison analysis on the characteristic information of the underground water body and the historical characteristic information of the water body in the cloud server to generate the early warning information of the underground water body specifically includes:
s104, extracting water body position information in the underground water body characteristic information, and acquiring historical water body color information, historical bubble information and historical water temperature data of the water body position in the cloud server;
s105, comparing the color characteristic information with historical water color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; comparing and calculating the underground water temperature data with historical water temperature data to obtain a water temperature difference value;
s106, judging the color difference value, the bubble quantity difference value and the water temperature difference value, and generating the underground water body early warning information when at least one of the color difference value, the bubble quantity difference value and the water temperature difference value exceeds a corresponding preset threshold value.
In the embodiment of the invention, historical water body color information, historical bubble information and historical water temperature data of the water body position are acquired from the cloud server according to the water body position information of the place, the historical water body color information, the historical bubble information and the historical water temperature data are uploaded to the cloud server in advance, then comparing the underground water characteristic information obtained in real time with the historical water characteristic information of the site, obtaining a color difference value, a bubble quantity difference value and a water temperature difference value, when the color difference value is larger, the underground water body shows signs of cloudiness and color change, when the number difference value of the bubbles is larger, the underground water body shows signs of bubbling, turning and gushing, when the water temperature difference value is large, the underground water body shows the signs of temperature rise, and the abnormal signs all show that the place has the risk of geological disaster.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of acquiring mountain land surface feature information, performing data comparison analysis on the mountain land surface feature information and historical mountain land surface information in the cloud server, and generating mountain land surface warning information specifically includes:
s201, obtaining mud water level information, earth sound information and geographical position information of a debris flow monitoring area, wherein mountain earth surface feature information is formed by the mud water level information, the earth sound information and the geographical position information;
in the embodiment of the invention, the mountain land surface characteristic information refers to mud water level information, earth sound information and geographical position information of a specific debris flow monitoring place, the mud water level information is obtained through a mud water level sensor, the earth sound information is obtained through an earth sound sensor with extremely high sensitivity, the earth sound information can reflect earth sound waves generated when debris flow occurs, and the geographical position information can be obtained through a GPS positioning device.
S202, extracting geographic position information in mountain surface feature information, and acquiring historical muddy water position information and historical ground sound information of the geographic position in a cloud server;
s203, comparing and calculating the mud water level information with historical mud water level information to obtain a mud water level difference value; comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value;
s204, the muddy water difference value and the ground sound difference value are judged, and when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding preset threshold value, mountain land surface early warning information is generated.
In the embodiment of the invention, historical muddy water bit information and historical earth sound information of the mountain position are acquired from a cloud server according to the geographical position information of the mountain location, the historical muddy water bit information and the historical earth sound information are uploaded to the cloud server in advance, then the mountain surface characteristic information obtained in real time is compared with the historical mountain surface characteristic information of the location for calculation, a muddy water bit difference value and an earth sound difference value are obtained, and when the muddy water bit difference value or the earth sound difference value is larger, the muddy water bit data or the earth sound data of the location are abnormal, which indicates that the mountain location has a risk of a debris flow disaster.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of analyzing and determining the underground water body early warning information and the mountain surface early warning information and generating disaster early warning information of corresponding levels specifically includes:
s301, counting to obtain the quantity value of the underground water body early warning information of each region, and judging that the underground water body early warning information is true when the quantity value of the underground water body early warning information exceeds a set threshold value;
s302, counting to obtain the quantity value of the mountain surface early warning information in each area, and judging that the mountain surface early warning information is true when the quantity value of the mountain surface early warning information exceeds a set threshold value;
s303, when one of the underground water early warning information or mountain surface early warning information is true, generating secondary disaster early warning information; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
In the embodiment of the invention, the underground water body early warning information and the mountain surface early warning information received within a certain time are counted to eliminate the influence caused by accidental factors or human factors, as is known, the influence range of geological disasters is very large, abnormal monitoring does not happen in only one monitoring place, only when the underground water body early warning information is sent out in a plurality of places, for example, within half an hour, the underground water body early warning information is judged to be real and the risk of geological disasters is extremely high in five monitoring places, if only one monitoring place sends out the underground water body early warning information, the underground water body early warning information is judged to be false, and similarly, only when the mountain surface early warning information is sent out in a plurality of places, for example, within half an hour, the mountain surface early warning information is sent out in five monitoring places, the mountain surface early warning information is judged to be real, in addition, the central early warning system can generate disaster early warning information of different levels according to the authenticity of underground water early warning information and mountain surface early warning information.
As shown in fig. 5, an embodiment of the present invention further provides a natural disaster early warning system based on big data, which includes an underground water body acquisition module 100, a mountain land surface acquisition module 200, a central early warning system 300, and a cloud server 400, where the underground water body acquisition module 100 is configured to acquire characteristic information of an underground water body, where the characteristic information of the underground water body at least includes color characteristic information and bubble characteristic information, perform data comparison analysis on the characteristic information of the underground water body and historical water body characteristic information in the cloud server, generate underground water body early warning information, and send the underground water body early warning information to the central early warning system 300.
Before a geological disaster occurs, underground water bodies comprise well water, spring water and the like, and possible abnormalities include blushing, bubbling, turning, color changing and the like, water body image information is obtained firstly, the water body image information is identified and extracted to obtain color characteristic information and bubble characteristic information of the underground water bodies, then the color characteristic information and the bubble characteristic information are compared with historical water body color information and historical bubble information of the place to obtain a color difference value and a bubble quantity difference value, when the color difference value is larger, the underground water bodies are indicated to have signs of blushing and color changing, when the bubble quantity difference value is larger, the underground water bodies are indicated to have signs of bubbling and turning, and at the moment, the underground water body acquisition module 100 can generate underground water body early warning information.
The mountain surface acquisition module 200 is configured to acquire mountain surface characteristic information, where the mountain surface characteristic information at least includes mud-water level information and ground sound information; and comparing and analyzing the mountain surface characteristic information with historical mountain surface information in the cloud server to generate mountain surface early warning information, and sending the mountain surface early warning information to the central early warning system 300.
In the embodiment of the invention, mud water level information is acquired through a mud water level sensor, and the earth sound information is acquired through an earth sound sensor with extremely high sensitivity and can reflect earth sound waves generated when a debris flow occurs; and then comparing and calculating the historical muddy water level information and the historical ground sound information of the site to obtain a muddy water level difference value and a ground sound difference value, and when the muddy water level difference value or the ground sound difference value is larger, indicating that the debris flow is possibly generated in the debris flow monitoring area, wherein the mountain land surface acquisition module 200 can generate mountain land surface early warning information.
The cloud server 400 is configured to store historical water characteristic information and historical mountain surface information, send the historical water characteristic information to the underground water acquisition module 100, send the historical mountain surface information to the mountain surface acquisition module 200, and the central early warning system 300 is configured to receive the underground water early warning information and the mountain surface early warning information, analyze and determine the underground water early warning information and the mountain surface early warning information, and generate disaster early warning information of corresponding levels.
In the embodiment of the invention, the authenticity of the underground water body early warning information and the mountain surface early warning information needs to be judged, and the underground water body early warning information is sent out only in one place and possibly caused by human factors such as sewer construction and the like, so the underground water body early warning information is not representative, and the underground water body early warning information can be judged to be true only when the underground water body early warning information is sent out in a plurality of places; similarly, the mountain surface early warning information is sent from only one place, which may be caused by human factors such as building construction, so that the mountain surface early warning information is not representative, and the mountain surface early warning information is judged to be true only when a plurality of places send the mountain surface early warning information.
As shown in fig. 6, as a preferred embodiment of the present invention, the underground water body acquisition module 100 includes an image acquisition device 101, a temperature sensor 102, a first GPS positioning device 103, and an image processing unit 104, where the image acquisition device 101 is configured to acquire image information of the underground water body, the temperature sensor 102 is configured to acquire underground water temperature data, and the first GPS positioning device 103 is configured to acquire water body position information.
The image processing unit 104 is configured to identify and extract color feature information and bubble feature information in the image information of the underground water body, and generate the characteristic information of the underground water body according to the underground water temperature data, the color feature information and the bubble feature information.
It can be understood that the water body image information may include interference information of plants, animals, stones, and the like, and therefore the image processing unit 104 needs to identify and extract water body colors and bubbles in the water body image information, obtain color characteristic information and bubble characteristic information, and bind the color characteristic information, the bubble characteristic information, the underground water temperature data, and the water body position information of the location together to form the underground water body characteristic information of the location.
As shown in fig. 6, as a preferred embodiment of the present invention, the underground water body acquisition module 100 further includes a historical water body characteristic information retrieval unit 105, a water body characteristic information analysis unit 106, and a water body characteristic information determination unit 107, where the historical water body characteristic information retrieval unit 105 obtains historical water body color information, historical bubble information, and historical water temperature data of the water body position in the cloud server 400 according to water body position information in the underground water body characteristic information.
The water body characteristic information analysis unit 106 compares the color characteristic information with historical water body color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; and comparing and calculating the underground water temperature data with the historical water temperature data to obtain a water temperature difference value.
The water characteristic information determination unit 107 is configured to determine a color difference value, a bubble quantity difference value, and a water temperature difference value, and when at least one of the color difference value, the bubble quantity difference value, and the water temperature difference value exceeds a corresponding predetermined threshold, generate underground water warning information, and send the underground water warning information to the central warning system 300.
In the embodiment of the present invention, historical water color information, historical bubble information, and historical water temperature data of the water position are acquired from the cloud server 400 according to the water position information of the location, and are uploaded to the cloud server 400 by the staff in advance, then comparing the underground water characteristic information obtained in real time with the historical water characteristic information of the site, obtaining a color difference value, a bubble quantity difference value and a water temperature difference value, when the color difference value is larger, the underground water body shows signs of cloudiness and color change, when the number difference value of the bubbles is larger, the underground water body shows signs of bubbling, turning and gushing, when the water temperature difference value is large, the underground water body shows the signs of temperature rise, and the abnormal signs all show that the place has the risk of geological disaster.
As shown in fig. 7, as a preferred embodiment of the present invention, the mountain surface acquisition module 200 includes a mud water level sensor 201, a geophone 202, a second GPS positioning device 203, a historical mountain surface information retrieving unit 204, a mountain surface information analyzing unit 205, and a mountain surface determining unit 206, where the mud water level sensor 201 is configured to acquire mud water level information of a debris flow monitoring area, the geophone 202 is configured to acquire geophone information of the debris flow monitoring area, the second GPS positioning device 203 is configured to acquire geophone information of the debris flow monitoring area, and the mud water level information, geophone information, and geophone information constitute mountain surface characteristic information.
The historical mountain surface information retrieving unit 204 may obtain historical muddy water level information and historical earth sound information of the geographic position in the cloud server 400 according to the geographic position information in the mountain surface feature information.
The mountain land surface information analysis unit 205 compares the mud water level information with historical mud water level information to obtain a mud water level difference value; and comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value.
The mountain surface determination unit 206 determines the muddy water difference value and the ground sound difference value, generates mountain surface warning information when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding predetermined threshold, and sends the mountain surface warning information to the central warning system 300.
In the embodiment of the invention, historical muddy water bit information and historical earth sound information of the mountain position are acquired from the cloud server according to the geographical position information of the mountain location, the historical muddy water bit information and the historical earth sound information are uploaded to the cloud server 400 in advance, then the mountain surface characteristic information obtained in real time is compared with the historical mountain surface characteristic information of the location for calculation, a muddy water bit difference value and an earth sound difference value are obtained, when the muddy water bit difference value or the earth sound difference value is larger, the muddy water bit data or the earth sound data of the location are abnormal, and the muddy water bit information or the earth sound data indicate that the mountain location has the risk of debris flow disasters.
As shown in fig. 8, as a preferred embodiment of the present invention, the central warning system 300 includes an underground water body warning information determination unit 301, a mountain surface warning information determination unit 302, and a warning information generation unit 303, where the underground water body warning information determination unit 301 obtains the number value of the underground water body warning information of each region by counting, and when the number value of the underground water body warning information exceeds a set threshold, the underground water body warning information is determined to be true.
The mountain surface early warning information determination unit 302 obtains the number value of the mountain surface early warning information in each area by counting, and determines that the mountain surface early warning information is true when the number value of the mountain surface early warning information exceeds a set threshold.
The early warning information generating unit 303 is configured to generate disaster early warning information of a corresponding level, and generate second-level disaster early warning information when one of the underground water early warning information or the mountain surface early warning information is true; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
In the embodiment of the present invention, the central warning system 300 needs to count the underground water body warning information and the mountain surface warning information received within a certain time period to eliminate the influence caused by accidental factors or human factors, as is well known, the range of the influence of geological disasters is very large, no abnormality is detected in only one monitoring location, only when underground water body warning information is sent in a plurality of locations, for example, in half an hour when underground water body warning information is sent in five monitoring locations, the underground water body warning information is determined to be real, the risk of geological disasters is extremely high, if only one monitoring location sends underground water body warning information, the underground water body warning information is determined to be false, and similarly, only when mountain surface warning information is sent in a plurality of locations, for example, in half an hour when mountain surface warning information is sent in five monitoring locations, it is determined that the mountain surface early warning information is authentic, and in addition, the central early warning system 300 generates disaster early warning information of different levels according to the authenticity of the underground water early warning information and the mountain surface early warning information.
The present invention has been described in detail with reference to the preferred embodiments thereof, and it should be understood that the invention is not limited thereto, but is intended to cover modifications, equivalents, and improvements within the spirit and scope of the present invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A natural disaster early warning method based on big data is characterized by comprising the following steps:
acquiring underground water body characteristic information, wherein the underground water body characteristic information at least comprises color characteristic information and bubble characteristic information; carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information;
obtaining mountain land surface characteristic information, wherein the mountain land surface characteristic information at least comprises mud water level information and ground sound information; performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in a cloud server to generate mountain surface early warning information;
and sending the underground water body early warning information and the mountain surface early warning information to a central early warning system so that the central early warning system analyzes and judges the underground water body early warning information and the mountain surface early warning information and generates disaster early warning information of corresponding levels.
2. The natural disaster early warning method based on big data as claimed in claim 1, wherein the step of obtaining the characteristic information of the underground water body specifically comprises:
acquiring underground water body image information and underground water temperature data;
identifying and extracting color characteristic information and bubble characteristic information in the underground water body image information;
and generating underground water body characteristic information according to the underground water temperature data, the color characteristic information and the bubble characteristic information, wherein the underground water body characteristic information carries water body position information.
3. The natural disaster early warning method based on big data as claimed in claim 2, wherein the step of performing data comparison analysis on the characteristic information of the underground water body and the characteristic information of the historical water body in the cloud server to generate the early warning information of the underground water body specifically comprises:
extracting water body position information in the underground water body characteristic information, and acquiring historical water body color information, historical bubble information and historical water temperature data of the water body position in a cloud server;
comparing the color characteristic information with historical water color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; comparing and calculating the underground water temperature data with historical water temperature data to obtain a water temperature difference value;
and judging the color difference value, the bubble quantity difference value and the water temperature difference value, and generating the underground water body early warning information when at least one of the color difference value, the bubble quantity difference value and the water temperature difference value exceeds a corresponding preset threshold value.
4. The natural disaster early warning method based on big data as claimed in claim 1, wherein the step of obtaining mountain surface feature information, performing data comparison analysis on the mountain surface feature information and historical mountain surface information in a cloud server, and generating mountain surface early warning information specifically comprises:
obtaining muddy water level information, ground sound information and geographical position information of a debris flow monitoring area, wherein the muddy water level information, the ground sound information and the geographical position information form mountain land surface characteristic information;
extracting geographic position information in mountain surface feature information, and acquiring historical muddy water position information and historical ground sound information of the geographic position in a cloud server;
comparing and calculating the mud water level information with historical mud water level information to obtain a mud water level difference value; comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value;
and judging the muddy water difference value and the ground sound difference value, and generating mountain land surface early warning information when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding preset threshold value.
5. The natural disaster early warning method based on big data as claimed in claim 1, wherein the step of analyzing and determining the early warning information of underground water and mountain surface early warning information and generating disaster early warning information of corresponding grade specifically comprises:
counting to obtain the quantity value of the underground water body early warning information of each region, and judging the underground water body early warning information to be true when the quantity value of the underground water body early warning information exceeds a set threshold value;
counting to obtain the quantity value of the mountain surface early warning information in each area, and judging that the mountain surface early warning information is true when the quantity value of the mountain surface early warning information exceeds a set threshold value;
when one of the underground water early warning information or mountain surface early warning information is true, generating second-level disaster early warning information; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
6. A natural disaster early warning system based on big data, the system comprising:
underground water body collection module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring underground water body characteristic information which at least comprises color characteristic information and bubble characteristic information; carrying out data comparison analysis on the underground water body characteristic information and historical water body characteristic information in a cloud server to generate underground water body early warning information, and sending the underground water body early warning information to a central early warning system;
mountain surface collection module: the system comprises a processing unit, a display unit and a display unit, wherein the processing unit is used for acquiring mountain land surface characteristic information which at least comprises muddy water level information and ground sound information; performing data comparison analysis on the mountain surface characteristic information and historical mountain surface information in a cloud server to generate mountain surface early warning information, and sending the mountain surface early warning information to a central early warning system;
cloud server: the system comprises an underground water body acquisition module, a mountain body surface acquisition module, a mountain body characteristic information storage module, a mountain body surface storage module and a mountain body surface storage module, wherein the underground water body acquisition module is used for storing historical water body characteristic information and historical mountain body surface information; and
the central early warning system: and analyzing and judging the underground water body early warning information and the mountain surface early warning information and generating disaster early warning information of corresponding levels.
7. A natural disaster early warning system based on big data according to claim 6, wherein the underground water body collection module comprises:
an image acquisition device: the system is used for acquiring underground water body image information;
a temperature sensor: the system is used for acquiring underground water temperature data;
the first GPS positioning device: the system is used for acquiring water body position information;
an image processing unit: the underground water body identification and extraction device is used for identifying and extracting color characteristic information and bubble characteristic information in the underground water body image information, and generating the underground water body characteristic information according to the underground water temperature data, the water body position information, the color characteristic information and the bubble characteristic information.
8. The natural disaster early warning system based on big data as claimed in claim 7, wherein the underground water body collection module further comprises:
historical water characteristic information calling unit: acquiring historical water body color information, historical bubble information and historical water temperature data of the water body position in a cloud server according to water body position information in the underground water body characteristic information;
water body characteristic information analysis unit: comparing the color characteristic information with historical water color information to obtain a color difference value; comparing and calculating the bubble characteristic information with historical bubble information to obtain a bubble quantity difference value; comparing and calculating the underground water temperature data with historical water temperature data to obtain a water temperature difference value;
water body characteristic information determination unit: and judging the color difference value, the bubble quantity difference value and the water temperature difference value, generating underground water body early warning information when at least one of the color difference value, the bubble quantity difference value and the water temperature difference value exceeds a corresponding preset threshold value, and sending the underground water body early warning information to a central early warning system.
9. The natural disaster early warning system based on big data as claimed in claim 6, wherein the mountain surface collecting module comprises:
a mud water level sensor: the system is used for acquiring mud water level information of a debris flow monitoring area;
the earth sound sensor: the method comprises the steps of acquiring the earth-sound information of a debris flow monitoring area;
and a second GPS positioning device: the system comprises a sensor, a sensor and a controller, wherein the sensor is used for acquiring geographic position information of a debris flow monitoring area, and the mud water level information, the earth sound information and the geographic position information form mountain earth surface characteristic information;
historical mountain land surface information retrieval unit: acquiring historical muddy water level information and historical ground sound information of the geographic position in a cloud server according to geographic position information in mountain land surface characteristic information;
mountain surface information analysis unit: comparing and calculating the mud water level information with historical mud water level information to obtain a mud water level difference value; comparing and calculating the earth sound information with historical earth sound information to obtain an earth sound difference value;
mountain surface determination unit: and judging the muddy water difference value and the ground sound difference value, generating mountain land surface early warning information when at least one of the muddy water difference value and the ground sound difference value exceeds a corresponding preset threshold value, and sending the mountain land surface early warning information to a central early warning system.
10. A big data based natural disaster early warning system as claimed in claim 6, wherein the central early warning system comprises:
underground water body early warning information decision unit: counting to obtain the quantity value of the underground water body early warning information of each region, and judging the underground water body early warning information to be true when the quantity value of the underground water body early warning information exceeds a set threshold value;
mountain surface early warning information determination unit: counting to obtain the quantity value of the mountain surface early warning information in each area, and judging that the mountain surface early warning information is true when the quantity value of the mountain surface early warning information exceeds a set threshold value;
an early warning information generation unit: the system is used for generating disaster early warning information of different levels, and generating second-level disaster early warning information when one of underground water body early warning information or mountain surface early warning information is true; and when the underground water early warning information and the mountain surface early warning information are all true, generating first-level disaster early warning information.
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| CN202110251364.7A CN113077609A (en) | 2021-03-08 | 2021-03-08 | Natural disaster early warning system and method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114187744A (en) * | 2021-12-06 | 2022-03-15 | 四川可易世界科技有限公司 | Landslide debris flow monitoring and early warning method, equipment, system and medium |
| CN117809260A (en) * | 2024-02-23 | 2024-04-02 | 中国地质调查局水文地质环境地质调查中心 | Identification method and device for debris flow object source start and electronic equipment |
-
2021
- 2021-03-08 CN CN202110251364.7A patent/CN113077609A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114187744A (en) * | 2021-12-06 | 2022-03-15 | 四川可易世界科技有限公司 | Landslide debris flow monitoring and early warning method, equipment, system and medium |
| CN117809260A (en) * | 2024-02-23 | 2024-04-02 | 中国地质调查局水文地质环境地质调查中心 | Identification method and device for debris flow object source start and electronic equipment |
| CN117809260B (en) * | 2024-02-23 | 2024-05-14 | 中国地质调查局水文地质环境地质调查中心 | Identification method and device for debris flow object source start and electronic equipment |
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