CN111243221A - Natural disaster monitoring and early warning method based on monitoring - Google Patents
Natural disaster monitoring and early warning method based on monitoring Download PDFInfo
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- CN111243221A CN111243221A CN202010033424.3A CN202010033424A CN111243221A CN 111243221 A CN111243221 A CN 111243221A CN 202010033424 A CN202010033424 A CN 202010033424A CN 111243221 A CN111243221 A CN 111243221A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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Abstract
The invention discloses a natural disaster monitoring and early warning method based on monitoring, which comprises the following steps: step S1: primarily screening and collecting disaster risk source data of disaster frequent areas or villages; step S2: analyzing the screened and collected data, performing key dynamic monitoring on the analyzed disaster-prone area, monitoring in real time, and performing comprehensive risk monitoring management; step S3: performing data analysis according to the long-term monitoring data, and performing qualitative and quantitative analysis; step S4: and carrying out quantitative management and control according to the quantitative analysis result. The system can dynamically monitor disaster frequent areas or villages in real time and transmit early warning in real time; carrying out quantitative analysis on disaster data; the disaster factor fluctuation is detected by the equipment before the occurrence of the disaster, the disaster type and the disaster point which occur at a high probability are calculated according to the pertinence of the analysis result, and the preventive measures and the pre-disaster early warning are provided in a targeted manner.
Description
Technical Field
The invention belongs to the technical field of water conservancy projects and geological disaster prevention and control, and relates to a natural disaster monitoring and early warning method based on monitoring.
Background
The international museum association ICOM protection commission issued, 2008, "resolution on tangible cultural heritage protection terminology" where the exact concept is given for preventative protection: preventative protection is in contrast to traditional rescue protection, which is usually a lagging protection, a one-time protection, a protection that is not attended by experts, etc. Compared with the rescue protection, the method aims at the heritage body and the rescue before and after the deterioration, the preventive protection aims at the heritage and the surrounding environment and the prevention before the deterioration, and emphasizes that the daily management is better than the movable dry-earth, and the prevention before the disaster is better than the repair after the disaster. "
The prior art is overall, the existing village protection technology is mainly implemented by applying city protection means and strategies, and fig. 5 is a schematic flow diagram of the prior art, which mainly has the following defects: the existing village protection is mostly rescue type protection, namely protection is carried out according to the existing standard after a protected object is subjected to disaster, and the fact that the village is damaged cannot be changed no matter how the effect is.
Disclosure of Invention
The invention provides a natural disaster monitoring and early warning method based on disaster source monitoring, aiming at solving the problem that the existing rescue type protection mode of villages cannot perform early warning before a disaster happens.
In order to achieve the purpose, the invention provides the following technical scheme: a natural disaster monitoring and early warning method based on monitoring comprises the following steps:
step S1: primarily screening and collecting disaster risk source data of disaster frequent areas or villages;
step S2: analyzing the screened and collected data, performing key dynamic monitoring on the analyzed disaster-prone area, monitoring in real time, and performing comprehensive risk monitoring management;
step S3: performing data analysis according to the long-term monitoring data, and performing qualitative and quantitative analysis;
step S4: and carrying out quantitative management and control according to the quantitative analysis result.
Further, in step S1, the data obtained by the preliminary screening and collecting includes: historical disaster degree data, disaster occurrence points, debris flow ditch density, rainfall and elevation of each month, gradient, slope direction and vegetation coverage rate of the location in 5 to 10 years.
Further, in step S2, the content of the important dynamic monitoring includes:
installing a forest fire prevention camera in a fire high-rise area for observing the fire hidden danger in villages within the range of 1 kilometer in real time;
digging a foundation pit with the diameter of about 1.5 meters and the depth of about 5 meters on a steep slope in a geological landslide high-rise area, installing a seismic wave sensor and an acquisition instrument in the foundation pit in a manner of being vertical to a horizontal plane, setting the initial angle as a recording original point, monitoring landslide through vibration data acquired by the seismic wave sensor, and monitoring the change of horizontal displacement inside a mountain through the change of the angle of the acquisition instrument;
the rainfall sensor is arranged at a low-lying position of the terrain and an upstream position of a water system flowing through, so that the local climate and rainfall intensity can be monitored, the flood information can be reported timely by utilizing a wired or wireless communication mode, and the rainfall sensor is arranged at a higher position to carry out comprehensive risk monitoring management.
Further, in step S3, data analysis is performed based on the long-term monitoring data, qualitative and quantitative analysis is performed, data collection and arrangement are performed using one year as an observation unit, and after data of two or more years are obtained, a disaster influence boundary is defined by using professional knowledge, so that a disaster risk map is obtained.
Further, in step S4, the quantitative management and control is to provide a special preventive protection plan for the high-occurrence area of geological natural disasters at the level of planning, construction, technology and community according to the quantitative analysis result.
Compared with the prior art, the invention has the beneficial effects that:
the system can dynamically monitor disaster frequent areas or villages in real time and transmit early warning in real time; carrying out quantitative analysis on disaster data; the disaster factor fluctuation is detected by the equipment before the occurrence of the disaster, the disaster type and the disaster point which occur at a high probability are calculated according to the pertinence of the analysis result, and the preventive measures and the pre-disaster early warning are provided in a targeted manner.
Drawings
FIG. 1 is a flow chart of the method steps of the present invention.
FIG. 2 is a schematic diagram showing the overall process results of the present invention.
Fig. 3 is a view of the geographical disaster area partitions according to the embodiment of the present invention.
FIG. 4 is a schematic diagram of installation points of a seismic sensor and a seismic acquisition instrument according to an embodiment of the invention.
Fig. 5 is a schematic flow chart of a prior art scheme.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 4, a natural disaster monitoring and early warning method based on monitoring provided by the embodiment of the present invention includes the following steps:
step S1: primarily screening and collecting disaster risk source data of disaster frequent areas or villages;
step S2: analyzing the screened and collected data, performing key dynamic monitoring on the analyzed disaster-prone area, monitoring in real time, and performing comprehensive risk monitoring management;
step S3: performing data analysis according to the long-term monitoring data, and performing qualitative and quantitative analysis;
step S4: and carrying out quantitative management and control according to the quantitative analysis result.
In step S1, the data for the preliminary screening and collection includes: historical disaster degree data, disaster occurrence points, debris flow ditch density, rainfall and elevation of each month, gradient, slope direction and vegetation coverage rate of the location in 5 to 10 years. The data can be used for preliminarily judging disaster-prone areas and disaster-prone time intervals.
In step S2, the content of the dynamic emphasis monitoring includes:
installing a forest fire prevention camera in a fire high-rise area for observing the fire hidden danger in villages within the range of 1 kilometer in real time; the temperature thermal image in the village is obtained through the fireproof camera and can be transmitted to a computer and a mobile phone end in real time, so that early warning prevention and control measures are timely implemented on a displayed high-temperature area;
digging a foundation pit with the diameter of about 1.5 meters and the depth of about 5 meters on a steep slope in a geological landslide high-incidence area, installing a seismic wave sensor and an acquisition instrument in the foundation pit in a manner of being vertical to a horizontal plane, setting the initial angle as a recording original point, monitoring landslide through vibration data acquired by the seismic wave sensor, monitoring horizontal displacement change inside a mountain through angle change of the acquisition instrument, mastering the landslide development change rule, and timely making a targeted treatment measure, thereby effectively avoiding the major loss caused by the landslide;
the rainfall sensor is arranged at a low-lying position of the terrain and an upstream position of a water system flowing through, so that the local climate and rainfall intensity can be monitored, the flood information can be reported timely by utilizing a wired or wireless communication mode, and the rainfall sensor is arranged at a higher position to carry out comprehensive risk monitoring management.
In step S3, data analysis is performed based on the long-term monitoring data, qualitative and quantitative analysis is performed, data collection and arrangement are performed using one year as an observation unit, after more than two years of data are obtained, a disaster influence boundary is defined by using professional knowledge, and a disaster risk map is obtained.
In step S4, the quantitative management and control is to provide a preventive protection special plan for the high-occurrence area of geological natural disasters at the planning, construction, technical and community levels according to the quantitative analysis result.
The system can dynamically monitor disaster frequent areas or villages in real time and transmit early warning in real time; the monitored data can be uploaded to a data cloud in real time through a wireless network of the device, and can be directly accessed and checked from a computer and a mobile phone terminal, so that the timeliness of the invention is directly embodied. The disaster prevention method is different from the traditional disaster protection and the disaster preventive protection of the existing protection means, the data fluctuation of the corresponding disaster factors is detected by the seismic wave sensor, the inclinometer, the rainfall gauge, the fireproof camera and other equipment before the disaster occurs, and according to the international existing disaster occurrence threshold values and the goal of monitoring results, the disaster type and the disaster point with high occurrence probability approaching or exceeding the threshold values are pertinently and in advance subjected to preventive measures and pre-disaster early warning.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (5)
1. A natural disaster monitoring and early warning method based on monitoring is characterized by comprising the following steps:
step S1: primarily screening and collecting disaster risk source data of disaster frequent areas or villages;
step S2: analyzing the screened and collected data, performing key dynamic monitoring on the analyzed disaster-prone area, monitoring in real time, and performing comprehensive risk monitoring management;
step S3: performing data analysis according to the long-term monitoring data, and performing qualitative and quantitative analysis;
step S4: and carrying out quantitative management and control according to the quantitative analysis result.
2. The natural disaster monitoring and early warning method based on monitoring as claimed in claim 1, wherein in step S1, the data primarily screened and collected includes: historical disaster degree data, disaster occurrence points, debris flow ditch density, rainfall and elevation of each month, gradient, slope direction and vegetation coverage rate of the location in 5 to 10 years.
3. The natural disaster monitoring and early warning method based on monitoring as claimed in claim 1, wherein in step S2, the contents of the dynamic monitoring with emphasis include:
installing a forest fire prevention camera in a fire high-rise area for observing the fire hidden danger in villages within the range of 1 kilometer in real time;
digging a foundation pit with the diameter of about 1.5 meters and the depth of about 5 meters on a steep slope in a geological landslide high-rise area, installing a seismic wave sensor and an acquisition instrument in the foundation pit in a manner of being vertical to a horizontal plane, setting the initial angle as a recording original point, monitoring landslide through vibration data acquired by the seismic wave sensor, and monitoring the change of horizontal displacement inside a mountain through the change of the angle of the acquisition instrument;
the rainfall sensor is arranged at a low-lying position of the terrain and an upstream position of a water system flowing through, so that the local climate and rainfall intensity can be monitored, the flood information can be reported timely by utilizing a wired or wireless communication mode, and the rainfall sensor is arranged at a higher position to carry out comprehensive risk monitoring management.
4. The natural disaster monitoring and early warning method based on monitoring as claimed in claim 1, wherein in step S3, data analysis is performed according to the long-term monitoring data, qualitative and quantitative analysis is performed, data collection and arrangement are performed with one year as an observation unit, after more than two years of data are obtained, the disaster influence boundary is defined by professional knowledge, and a disaster risk graph is obtained.
5. The natural disaster monitoring and early warning method based on monitoring as claimed in claim 1, wherein in step S4, the quantitative management and control is to provide a special preventive protection plan for geological natural disaster high-incidence areas at the level of planning, construction, technology and community according to the quantitative analysis result.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010033424.3A CN111243221A (en) | 2020-01-13 | 2020-01-13 | Natural disaster monitoring and early warning method based on monitoring |
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| CN202010033424.3A CN111243221A (en) | 2020-01-13 | 2020-01-13 | Natural disaster monitoring and early warning method based on monitoring |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114333208A (en) * | 2022-02-28 | 2022-04-12 | 四川省安全科学技术研究院 | Prediction method and system for debris flow after forest fire disaster in high mountain canyon region |
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| CN101363730A (en) * | 2008-08-07 | 2009-02-11 | 北京林业大学 | Investigation and sortation method for disaster danger area in mountanious region |
| US20120150783A1 (en) * | 2010-12-09 | 2012-06-14 | Jung Sungeun | Disaster Analysis and Decision System |
| CN104021267A (en) * | 2013-10-25 | 2014-09-03 | 中国科学院地理科学与资源研究所 | Geological disaster liability judgment method and device |
| CN105741498A (en) * | 2016-04-28 | 2016-07-06 | 成都理工大学 | Method and device for monitoring and performing early warning on geological hazards |
| CN106530626A (en) * | 2016-11-07 | 2017-03-22 | 孙晓彤 | Mountain flood disaster monitoring and early warning system and monitoring method |
-
2020
- 2020-01-13 CN CN202010033424.3A patent/CN111243221A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363730A (en) * | 2008-08-07 | 2009-02-11 | 北京林业大学 | Investigation and sortation method for disaster danger area in mountanious region |
| US20120150783A1 (en) * | 2010-12-09 | 2012-06-14 | Jung Sungeun | Disaster Analysis and Decision System |
| CN104021267A (en) * | 2013-10-25 | 2014-09-03 | 中国科学院地理科学与资源研究所 | Geological disaster liability judgment method and device |
| CN105741498A (en) * | 2016-04-28 | 2016-07-06 | 成都理工大学 | Method and device for monitoring and performing early warning on geological hazards |
| CN106530626A (en) * | 2016-11-07 | 2017-03-22 | 孙晓彤 | Mountain flood disaster monitoring and early warning system and monitoring method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114333208A (en) * | 2022-02-28 | 2022-04-12 | 四川省安全科学技术研究院 | Prediction method and system for debris flow after forest fire disaster in high mountain canyon region |
| CN114333208B (en) * | 2022-02-28 | 2022-06-10 | 四川省安全科学技术研究院 | Prediction method and system for debris flow after forest fire disaster in mountain canyon area |
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Application publication date: 20200605 |