CN111784979A - Rainfall step type landslide hazard early warning system - Google Patents
Rainfall step type landslide hazard early warning system Download PDFInfo
- Publication number
- CN111784979A CN111784979A CN202010675375.3A CN202010675375A CN111784979A CN 111784979 A CN111784979 A CN 111784979A CN 202010675375 A CN202010675375 A CN 202010675375A CN 111784979 A CN111784979 A CN 111784979A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- early warning
- disaster
- weather
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/20—3D [Three Dimensional] animation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Computer Graphics (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a rainfall step type landslide hazard early warning system and an early warning method, which comprise a geographic exploration module, a weather condition analysis module, a hazard generation module and an early warning module, the geographic exploration module is used for collecting soil property information, resident information and traffic facility information by combining with map information through a network, the weather condition analysis module collects weather information through a network to analyze the generation of the continuous severe weather, the disaster generation module simulates the formation of disasters and judges the disaster grade through the information and data obtained by the analysis of the geographic exploration module and the weather condition analysis module, the early warning module has the function of intelligently early warning the upcoming disaster, the main control noise reduction module internally comprises an operation page sensitive module and a volume reduction module, and the volume reduction module is directly started after the operation page sensitive module is triggered; the method is applied to the purposes of quickly and directly knowing disaster occurrence conditions and disaster grades and not influencing discussion decisions.
Description
Technical Field
The invention particularly relates to a rainfall step type landslide hazard early warning system.
Background
The slope refers to a natural phenomenon that soil or rock mass on the slope slides downwards along the slope integrally or dispersedly under the action of gravity along a certain weak surface or a weak zone under the influence of factors such as river scouring, underground water movement, rainwater soaking, earthquake, artificial slope cutting and the like. The moving rock (earth) body is called a displaced body or a sliding body, and the unmoved underburden rock (earth) body is called a sliding bed.
However, the existing landslide hazard early warning system has the following disadvantages: when a disaster happens, workers in the conventional landslide disaster early warning system can only know the position of the disaster, and can not know the approximate dynamic process and damage degree of the disaster, so that damage to surrounding residents and roads is caused, and therefore, the rescue situation can only temporarily take strain on site, and certain difficulty is brought to rescue actions; the traditional landslide disaster early warning system cannot rapidly and directly know the disaster grade, so that additional discussion needs to be carried out on coping organizations; finally, when the existing landslide hazard early warning system is turned off in time when the siren sounds, the worker cannot quickly and directly discuss and transmit commands.
Disclosure of Invention
The invention aims to provide a rainfall step type landslide disaster early warning system aiming at the defects in the prior art so as to achieve the purposes of quickly and directly knowing disaster occurrence conditions and disaster grades and not influencing discussion decision.
In order to achieve the purpose, the invention provides the following technical scheme: a rainfall step type landslide hazard early warning system, comprising: the system comprises a geographic exploration module, a weather condition analysis module, a disaster generation module and an early warning module, wherein the geographic exploration module is used for collecting soil property information, resident information and traffic facility information by combining map information through a network, the weather condition analysis module collects weather information through the network and then analyzes the generation of persistent severe weather, the disaster generation module simulates the formation of disasters and judges disaster grades through the information and data obtained by analyzing the geographic exploration module and the weather condition analysis module, and the early warning module performs intelligent early warning on forthcoming disasters.
Further, the geographic survey module includes, internally: the soil property information module is used for inputting and collecting soil type information and mobility analysis, the resident information module is used for inputting and collecting resident information and housing positions, and the traffic information module is used for inputting and collecting various lane information and analyzing lanes near a landslide.
Furthermore, the soil quality information module comprises a soil quality type analysis module and a mobility analysis module, the resident information module comprises a resident landform analysis module and a resident quantity statistics module, and the traffic information module comprises a lane information input module and a landslide lane analysis module.
Further, the weather condition analysis module internally comprises: the weather information module acquires weather information in a network form, and the severe weather analysis module integrates continuous strong wind, rainfall and snowfall and judges the weather as severe weather.
Further, the disaster generation module internally comprises: the disaster simulation system comprises a factor information input module, a geographic model module, a disaster 3D animation module and a disaster grade judgment module, wherein the factor information input module is used for inputting information analyzed by a geographic exploration module and a weather condition analysis module, the geographic model module is used for forming a three-dimensional model of local landform, the disaster 3D animation module is used for simulating the disaster occurrence process in an animation mode, and the disaster grade judgment module is used for judging the grade according to the disaster area and damage.
Further, the early warning module internally comprises: the early warning whistle module, master control noise reduction module and early warning scintillation module, the early warning whistle module is used for making the master-control room and the warning department warn jointly when obtaining the information of calamity early warning, the master control noise reduction module is used for making the master-control room the effect that volume intelligence was reduced of whistling, the early warning scintillation module is used for twinkling the lamp that different grades correspond different colours.
Further, the early warning whistle module is inside to include: the system comprises a whistle module, a volume control module, a master control room alarm whistle and an alarm-out alarm whistle, wherein the master control room alarm whistle is installed in a central control room, and the alarm-out alarm whistle is installed in a fire-fighting alarm troop.
Furthermore, the main control noise reduction module comprises an operation page sensing module and a volume reduction module, and the volume reduction module is directly started after the operation page sensing module is triggered.
Further, the early warning flashing module internally comprises: the system comprises a distinguishing grade module and a corresponding grade lamp flashing module, wherein the distinguishing grade module receives information obtained by the disaster grade judging module, corresponding colors are respectively judged for different grades, and the corresponding grade lamp flashing module is used for flashing warning lamps with corresponding colors.
An early warning method of a rainfall step type landslide hazard early warning system comprises the following steps:
s1, geographic condition analysis: the map information is integrated through the network to obtain the information of the geographic positions of the residents and the roads, the soil property information is input through the detection of the exploration personnel, and the information of the soil type and the fluidity is obtained.
S2, weather condition analysis: the condition of weather is obtained through network acquisition, and the severe weather analysis of landslide disasters is carried out through acquiring continuous severe weather information.
S3, disaster simulation: the method integrates geographical and weather conditions, performs animation previewing on a local 3D digital model when a disaster occurs, and performs degree judgment according to the degree of damaging houses and roads.
S4, timely early warning: receiving information of disaster generation and disaster grade, flashing the light of the corresponding grade color by the flashing light, sounding the alarm whistle of the alarm place and the main control place together, and simultaneously starting the operation page sensitive module to wait for triggering.
S5, intelligent early warning: the mouse points on an operation page corresponding to disaster response, the operation page sensitive module starts a volume reduction module while acquiring the position, the level and the preview animation information of the disaster, the volume of a siren of the main control room is controlled and reduced, and the whistle of the main control room is finished after the whistle is sounded for a plurality of times.
S6, continuous early warning: the operation page corresponding to disaster response is not opened by the mouse, the operation page sensitive module is not triggered, and the master control room siren can continuously sound with high volume until the operation page sensitive module is triggered.
Compared with the prior art, the invention has the beneficial effects that: the disaster 3D animation module is used for simulating the occurrence process of the disaster in an animation mode, when an operator opens a control page, the dynamic effect and the damage degree of the landslide disaster can be quickly and visually seen, and the position information is directly acquired, so that the rescue organization can take corresponding measures at the highest speed; the corresponding grade lamp flashing module is used for flashing the early warning lamps with corresponding colors, so that each worker can directly judge the grade of disaster occurrence through light; when the staff opens the operation page that corresponds the calamity reply with the mouse point, operation page sensitive module is triggered and starts the volume and reduces the module, controls and reduces the volume of master control room police flute, consequently can provide the good environment of the inside staff discussion emergency measure of master control room, avoids the too big inside staff discussion of influence of police flute sound, guarantees the accuracy of order down simultaneously, avoids leading to communicating because of police flute sound and the smoothness of order down.
Drawings
Fig. 1 is a schematic diagram of an overall system structure of a rainfall step-type landslide hazard early warning system according to an embodiment of the present invention;
FIG. 2 is a schematic system diagram of a geographic exploration module of the rainfall step-type landslide hazard warning system in the embodiment of FIG. 1;
fig. 3 is a schematic system structure diagram of an early warning module of the rainfall step-type landslide hazard early warning system in the embodiment of fig. 1;
fig. 4 is a schematic system structure diagram of an early warning workflow of the rainfall step-type landslide hazard early warning system in the embodiment of fig. 1;
fig. 5 is a schematic flow chart of an early warning method of the rainfall step-type landslide hazard early warning system of the present invention.
In FIGS. 1-5: 1-a geographic exploration module; 11-a soil property information module; 111-soil property species analysis module; 112-flowability analysis module; 12-a household information module; 121-residential landform analysis module; 122-a household number statistics module; 13-a traffic information module; 131-lane information input module; 132-landslide lane analysis module; 2-a weather condition analysis module; 21-a weather information module; 22-a severe weather analysis module; 3-a disaster generation module; 31-factor information entry module; 32-a geographic model module; 33-a geographic model module; 34-disaster grade judging module; 4-early warning module; 41-early warning whistle module; 411-start whistle module; 412-volume control module; 413-master control room siren; 414-alarm whistle at the place of alarm; 42-a master noise reduction module; 421-operating page sensitive module; 422-volume reduction module; 43-early warning flashing module; 431-a discriminative ranking module; 432-corresponding grade flash module.
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.
Example 1:
referring to fig. 1 to 4, fig. 1 is a schematic diagram of an overall system structure of a rainfall step-type landslide disaster early warning system in an embodiment of the present invention, fig. 2 is a schematic diagram of a system structure of a geographic exploration module of the rainfall step-type landslide disaster early warning system in the embodiment of fig. 1, fig. 3 is a schematic diagram of a system structure of an early warning module of the rainfall step-type landslide disaster early warning system in the embodiment of fig. 1, and fig. 4 is a schematic diagram of a system structure of an early warning work flow of the rainfall step-type landslide disaster early warning system in the embodiment of fig. 1; wherein, the invention provides a technical scheme that: a rainfall step type landslide hazard early warning system, comprising: the system comprises a geographic exploration module 1, a weather condition analysis module 2, a disaster generation module 3 and an early warning module 4, wherein the geographic exploration module 1 is used for collecting soil property information, resident information and traffic facility information by combining with map information through a network, the weather condition analysis module 2 collects weather information through the network and then analyzes the generation of persistent severe weather, the disaster generation module 3 simulates the formation of disasters and judges disaster grades through the information and data obtained by analyzing the geographic exploration module 1 and the weather condition analysis module 2, and the early warning module 4 performs intelligent early warning on forthcoming disasters.
The geographic prospecting module 1 comprises internally: the soil property information module 11 is used for inputting and collecting soil type information and mobility analysis, the resident information module 12 is used for inputting and collecting resident information and housing position, the traffic information module 13 is used for inputting and collecting various types of lane information and lane analysis near a position landslide, the soil property information module 11 comprises a soil type analysis module 111 and a mobility analysis module 112, the resident information module 12 comprises a resident landform analysis module 121 and a resident quantity statistics module 122, and the traffic information module 13 comprises a lane information input module 131 and a landslide lane analysis module 132.
The weather condition analysis module 2 includes: the weather information module 21 acquires weather information in a network form, and the severe weather analysis module 22 integrates continuous strong wind, rainfall and snowfall and determines the weather as severe weather.
The disaster generation module 3 includes: the disaster area and damage assessment system comprises a factor information input module 31, a geographic model module 32, a disaster 3D animation module 33 and a disaster grade assessment module 34, wherein the factor information input module 31 is used for inputting information analyzed by a geographic exploration module 1 and a weather condition analysis module 2, the geographic model module 32 is used for forming a three-dimensional model of local landforms, the disaster 3D animation module 33 is used for simulating the occurrence process of disasters in an animation mode, and the disaster grade assessment module 34 is used for assessing the grade according to disaster areas and damage.
The early warning module 4 internally comprises: early warning module 41 of whistling, master control noise reduction module 42 and early warning scintillation module 43 of making an uproar, early warning module 41 of whistling is used for making the master-control room and the department of giving an uproar jointly whistling the warning when obtaining the information of calamity early warning, master control noise reduction module 42 is used for making the effect that master-control room whistling volume intelligence reduces, early warning scintillation module 43 is used for twinkling the lamp that different grades correspond different colours, early warning module 41 of whistling is inside to include: start whistle module 411, volume control module 412, main control room siren 413 and the department of giving an police siren 414, main control room siren 413 is installed in central control room, the department of giving an police siren 414 is installed in the fire control department of giving an police, the inside operation page of sensitive module 421 and the volume reduction module 422 of including of main control noise reduction module 42, the operation page of sensitive module 421 triggers the back and directly starts the volume reduction module 422, early warning scintillation module 43 is inside to include: the disaster warning system comprises a distinguishing level module 431 and a corresponding level lamp flashing module 432, wherein the distinguishing level module 431 receives information obtained by the disaster level judging module 34, corresponding colors are respectively judged for different levels, and the corresponding level lamp flashing module 432 is used for flashing warning lamps with corresponding colors.
Example 2:
an early warning method of a rainfall step-type landslide hazard early warning system is disclosed, as shown in fig. 5, and fig. 5 is a flow diagram of the early warning method of the rainfall step-type landslide hazard early warning system, and comprises the following steps:
s1, geographic condition analysis: the map information is integrated through the network to obtain the information of the geographic positions of the residents and the roads, the soil property information is input through the detection of the exploration personnel, and the information of the soil type and the fluidity is obtained.
S2, weather condition analysis: the condition of weather is obtained through network acquisition, and the severe weather analysis of landslide disasters is carried out through acquiring continuous severe weather information.
S3, disaster simulation: the method integrates geographical and weather conditions, performs animation previewing on a local 3D digital model when a disaster occurs, and performs degree judgment according to the degree of damaging houses and roads.
S4, timely early warning: receiving information of disaster generation and disaster grade, flashing the light of the corresponding grade color by the flashing light, sounding the alarm whistle of the alarm place and the main control place together, and simultaneously starting the operation page sensitive module to wait for triggering.
S5, intelligent early warning: the mouse points on an operation page corresponding to disaster response, the operation page sensitive module starts a volume reduction module while acquiring the position, the level and the preview animation information of the disaster, the volume of a siren of the main control room is controlled and reduced, and the whistle of the main control room is finished after the whistle is sounded for a plurality of times.
S6, continuous early warning: the operation page corresponding to disaster response is not opened by the mouse, the operation page sensitive module is not triggered, and the master control room siren can continuously sound with high volume until the operation page sensitive module is triggered.
To sum up, when the system is used, soil property information, householder information and traffic facility information are collected in advance through a network in combination with map information, the soil property information module 11 is used for inputting and collecting soil type information and mobility analysis, the householder information module 12 is used for inputting and collecting householder information and housing positions, the traffic information module 13 is used for inputting and collecting various lane position information and analyzing lanes near a slide slope at the positions, the weather information module 21 is used for acquiring weather information in a network form, and the severe weather analysis module 22 is used for integrating continuous strong wind, rainfall and snowfall and judging the weather as severe weather;
the factor information input module 31 inputs the obtained information, the geographic model module 32 is used for forming a three-dimensional model of local landform, the disaster 3D animation module 33 is used for simulating the occurrence process of a disaster in an animation mode, the disaster grade judgment module 34 is used for judging the grade according to the area and damage of the disaster, when an operator opens a control page, the dynamic effect and the damage degree generated by the landslide disaster can be rapidly and intuitively seen, and the position information is directly obtained, so that the rescue organization can make a response measure at the fastest speed,
when the pre-warning whistle module 41 obtains information of disaster pre-warning, the main control room siren 413 and the siren 414 at the alarm place are whistled together to warn, the discrimination level module 431 receives the information obtained by the disaster level judgment module 34, and judges the corresponding colors for different levels respectively, the corresponding level lamp flashing module 432 is used for flashing the pre-warning lamps with the corresponding colors, so that each worker can directly judge the level of disaster occurrence through the light, and simultaneously the operation page sensitive module 421 is started to wait for triggering, when the worker in the main control room clicks the operation page corresponding to the disaster response by the mouse to obtain the position, the level and the pre-played animation information of the disaster, the operation page sensitive module 421 starts the volume reduction module 422 to control and reduce the volume of the main control room siren 413, and after whistling for a plurality of times, the main control room whistling is finished, thereby providing a good environment for the worker in the main control room to discuss emergency measures, and the phenomenon that the internal personnel discussion is influenced by too much siren sound is avoided.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a rainfall step type landslide disaster early warning system which characterized in that includes: geographic exploration module (1), weather condition analysis module (2), calamity generation module (3) and early warning module (4), geographic exploration module (1) combines map information to be used for collecting soil property information, resident information and traffic facilities information through the network, weather condition analysis module (2) collect weather information and then the production of the bad weather of analysis persistence through the network, calamity generation module (3) are through the information and the data that geographic exploration module (1) and weather condition analysis module (2) analysis reachs, simulate the formation of calamity and judge calamity grade, early warning module (4) carry out intelligent early warning's effect to the calamity that comes.
2. The rainfall step-type landslide hazard early warning system of claim 1, wherein: the geographic prospecting module (1) comprises internally: the soil property information system comprises a soil property information module (11), a resident information module (12) and a traffic information module (13), wherein the soil property information module (11) is used for inputting and collecting soil type information and mobility analysis, the resident information module (12) is used for inputting and collecting resident information and housing positions, and the traffic information module (13) is used for inputting and collecting various types of lane information and analyzing lanes near a landslide at the positions.
3. The rainfall step-type landslide hazard early warning system of claim 2, wherein: the soil property information module (11) comprises a soil property type analysis module (111) and a fluidity analysis module (112), the resident information module (12) comprises a resident landform analysis module (121) and a resident number counting module (122), and the traffic information module (13) comprises a lane information input module (131) and a landslide lane analysis module (132).
4. The rainfall step-type landslide hazard early warning system of claim 1, wherein: the weather condition analysis module (2) internally comprises: the weather information analysis system comprises a weather information module (21) and a severe weather analysis module (22), wherein the weather information module (21) acquires weather information in a network form, and the severe weather analysis module (22) integrates continuous strong wind, rainfall and snowfall and judges the weather as severe weather.
5. The rainfall step-type landslide hazard early warning system of claim 1, wherein: the disaster generation module (3) internally comprises: the disaster area and damage assessment system comprises a factor information input module (31), a geographic model module (32), a disaster 3D animation module (33) and a disaster grade assessment module (34), wherein the factor information input module (31) is used for inputting information analyzed by a geographic exploration module (1) and a weather condition analysis module (2), the geographic model module (32) is used for forming a three-dimensional model of local landforms, the disaster 3D animation module (33) is used for simulating the occurrence process of disasters in an animation mode, and the disaster grade assessment module (34) is used for assessing grades according to disaster areas and damages.
6. The rainfall step-type landslide hazard early warning system of claim 1, wherein: the early warning module (4) comprises: early warning module of whistling (41), master control noise reduction module (42) and early warning scintillation module (43), early warning module of whistling (41) is used for making the master-control room and the department of giving police jointly whistling the warning when obtaining the information of calamity early warning, master control noise reduction module (42) is used for making the master-control room effect that the volume intelligence of whistling reduces, early warning scintillation module (43) are used for twinkling the lamp that different grades correspond different colours.
7. The rainfall step-type landslide hazard early warning system of claim 6, wherein: the early warning whistle module (41) internally comprises: the fire-fighting alarm system is characterized in that a whistle module (411), a volume control module (412), a master control room alarm whistle (413) and an alarm-out place alarm whistle (414) are started, the master control room alarm whistle (413) is installed in a central control room, and the alarm-out place alarm whistle (414) is installed in a fire-fighting alarm troop.
8. The rainfall step-type landslide hazard early warning system of claim 6, wherein: the main control noise reduction module (42) comprises an operation page sensing module (421) and a volume reduction module (422) inside, and the volume reduction module (422) is directly started after the operation page sensing module (421) is triggered.
9. The rainfall step-type landslide hazard early warning system of claim 6, wherein: the early warning flicker module (43) comprises: the disaster warning system comprises a distinguishing grade module (431) and a corresponding grade lamp flashing module (432), wherein the distinguishing grade module (431) receives information obtained by the disaster grade judging module (34), corresponding colors are respectively judged for different grades, and the corresponding grade lamp flashing module (432) is used for flashing warning lamps with the corresponding colors.
10. The early warning method of a rainfall step-type landslide hazard early warning system according to any one of claims 1 to 9, comprising the steps of:
s1, geographic condition analysis: the map information is integrated through the network to obtain the information of the geographic positions of the residents and the roads, the soil property information is input through the detection of the exploration personnel, and the information of the soil type and the fluidity is obtained.
S2, weather condition analysis: the condition of weather is obtained through network acquisition, and the severe weather analysis of landslide disasters is carried out through acquiring continuous severe weather information.
S3, disaster simulation: the method integrates geographical and weather conditions, performs animation previewing on a local 3D digital model when a disaster occurs, and performs degree judgment according to the degree of damaging houses and roads.
S4, timely early warning: receiving information of disaster generation and disaster grade, flashing the light of the corresponding grade color by the flashing light, sounding the alarm whistle of the alarm place and the main control place together, and simultaneously starting the operation page sensitive module to wait for triggering.
S5, intelligent early warning: the mouse points on an operation page corresponding to disaster response, the operation page sensitive module starts a volume reduction module while acquiring the position, the level and the preview animation information of the disaster, the volume of a siren of the main control room is controlled and reduced, and the whistle of the main control room is finished after the whistle is sounded for a plurality of times.
S6, continuous early warning: the operation page corresponding to disaster response is not opened by the mouse, the operation page sensitive module is not triggered, and the master control room siren can continuously sound with high volume until the operation page sensitive module is triggered.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010675375.3A CN111784979A (en) | 2020-07-14 | 2020-07-14 | Rainfall step type landslide hazard early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010675375.3A CN111784979A (en) | 2020-07-14 | 2020-07-14 | Rainfall step type landslide hazard early warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111784979A true CN111784979A (en) | 2020-10-16 |
Family
ID=72767752
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010675375.3A Pending CN111784979A (en) | 2020-07-14 | 2020-07-14 | Rainfall step type landslide hazard early warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111784979A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477207A (en) * | 2009-01-20 | 2009-07-08 | 中国科学院水利部成都山地灾害与环境研究所 | Intelligent geological calamity synthetic monitoring system and multi-stage prediction analysis method |
| CN103700054A (en) * | 2013-12-10 | 2014-04-02 | 中国地质大学武汉 | Sudden-onset geological disaster emergency plan digitization system |
| CN104299367A (en) * | 2014-10-23 | 2015-01-21 | 中国科学院、水利部成都山地灾害与环境研究所 | Landslide hazard multi-stage comprehensive monitoring and early warning method |
| CN109609141A (en) * | 2019-01-23 | 2019-04-12 | 武汉钢铁工程技术集团有限责任公司 | A kind of application method of phonetic warning system on dry coke quenching |
| CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
| CN111241474A (en) * | 2019-12-30 | 2020-06-05 | 湖南北斗微芯产业发展有限公司 | Landslide disaster comprehensive early warning analysis method |
-
2020
- 2020-07-14 CN CN202010675375.3A patent/CN111784979A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477207A (en) * | 2009-01-20 | 2009-07-08 | 中国科学院水利部成都山地灾害与环境研究所 | Intelligent geological calamity synthetic monitoring system and multi-stage prediction analysis method |
| CN103700054A (en) * | 2013-12-10 | 2014-04-02 | 中国地质大学武汉 | Sudden-onset geological disaster emergency plan digitization system |
| CN104299367A (en) * | 2014-10-23 | 2015-01-21 | 中国科学院、水利部成都山地灾害与环境研究所 | Landslide hazard multi-stage comprehensive monitoring and early warning method |
| CN109609141A (en) * | 2019-01-23 | 2019-04-12 | 武汉钢铁工程技术集团有限责任公司 | A kind of application method of phonetic warning system on dry coke quenching |
| CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
| CN111241474A (en) * | 2019-12-30 | 2020-06-05 | 湖南北斗微芯产业发展有限公司 | Landslide disaster comprehensive early warning analysis method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107195164B (en) | Mountain flood on-line monitoring identification method for early warning and its early warning system | |
| CN114118677A (en) | Tailing pond risk monitoring and early warning system based on Internet of things | |
| US9510123B2 (en) | Method and system for source selective real-time monitoring and mapping of environmental noise | |
| Capra et al. | Hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring | |
| Staley et al. | Estimating post-fire debris-flow hazards prior to wildfire using a statistical analysis of historical distributions of fire severity from remote sensing data | |
| CN110858334A (en) | Road safety assessment method and device and road safety early warning system | |
| Baum et al. | Early warning of landslides for rail traffic between Seattle and Everett, Washington, USA | |
| CN107861446A (en) | A kind of monitoring system and its application method for protecting building | |
| Van Herwijnen et al. | Forecasting snow avalanches using avalanche activity data obtained through seismic monitoring | |
| Eckerstorfer et al. | The geomorphological effect of cornice fall avalanches in the Longyeardalen valley, Svalbard | |
| KR100904012B1 (en) | Method for inquiring system of living environment information for apartment house | |
| CN107527162B (en) | House safety identification system and use method thereof | |
| CN111784979A (en) | Rainfall step type landslide hazard early warning system | |
| CN206021512U (en) | A kind of detection forecasting and warning device of heavy rain type diluted debris flow | |
| KR101865791B1 (en) | Typhoon risk analysis system and typhoon risk analysis method using the same | |
| JP6892197B1 (en) | Deterioration display system, deterioration display method, and program | |
| Sampaleanu | The role of intact rock fracture in rockfall initiation | |
| De Graff et al. | Rainfall triggering of post-fire debris flows over a 28-year period near El Portal, California, USA | |
| CN106683349A (en) | Comprehensive monitoring system for geological disasters | |
| Hroch et al. | Landslide hazards in North Bohemia | |
| Mandal et al. | RoadSpeedSense: Context-aware speed profiling from smart-phone sensors | |
| Janál et al. | Fuzzy logic based flash flood forecast | |
| Van Westen | National scale landslide susceptibility assessment for Grenada | |
| CN115204676A (en) | Natural disaster risk assessment method for highway | |
| JP7438791B2 (en) | Anxiety evaluation device and anxiety evaluation program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201016 |