CN205177101U - Intelligence natural disasters early warning system based on big data - Google Patents
Intelligence natural disasters early warning system based on big data Download PDFInfo
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- CN205177101U CN205177101U CN201520946433.6U CN201520946433U CN205177101U CN 205177101 U CN205177101 U CN 205177101U CN 201520946433 U CN201520946433 U CN 201520946433U CN 205177101 U CN205177101 U CN 205177101U
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- 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
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Abstract
The utility model discloses an intelligence natural disasters early warning system based on big data, contain waterproof calamity remote alarm system, prevent mud -rock flow remote alarm system, system of receiving a crime report of central authorities and communication system, waterproof calamity remote alarm system contains flood monitoring host computer, the water inlet valve, water flow sensor, rain sensor, solar electric source, temperature and humidity sensor and wind direction air velocity transducer, prevent that mud -rock flow remote alarm system contains mud -rock flow monitoring host computer, displacement sensor and soil moisture sensor, the system of receiving a crime report of central authorities contains central authorities' host computer of receiving a crime report, satellite positioning system, the early warning cell -phone, GIS geographical position system, communication system contains wireless network, communication gateway and high in the clouds data service ware. The utility model discloses use the sensor as the carrier to cloud platform, big data technology are serving core, and transmit information, for the government provides the solution of natural environment information acquisition, natural disasters prediction and serves for the public provides the living environment intellectuality for the government and the public.
Description
Technical field
The utility model relates to based on large data intelligence disaster early warning system.
Background technology
According to Ministry of Civil Affairs, office of the national mitigation council together with departments such as the Ministry of Industry and Information Technology, Ministry of Land and Resources, Department of Transportation, Ministry of Water Resources, the Ministry of Agriculture, health State Family Planning Commission, statistics bureau, forestry bureau, seismological bureau, weather bureau, Insurance Regulatory Commission, ocean office, General Staff Departments, the General Political Department, Red Cross Society of China, Chinese Railway main offices to the analysis of holding a conference or consultation of national disaster situation in 2014.Through appraising and deciding, 2014, all kinds of disaster caused 24353.7 ten thousand person-times, the whole nation disaster-stricken altogether, and 1583 people are dead, and 235 people are missing, transfer and resettle urgently for 601.7 ten thousand person-times, 298.3 ten thousand person-times of urgent Living aids of need; 450000 house collapses, damage between 354.2 ten thousand in various degree; 24890.7 thousand hectares, crops disaster area, wherein has no harvest 3090.3 thousand hectares; Direct economic loss 3373.8 hundred million yuan.
China's disaster disaster wide variety and calamity time take place frequently, cause disaster have a large population, agriculture the condition of a disaster is serious, areal variation is comparatively remarkable, but due to the deficiency of level monitoring, many disasters do not obtain early warning timely before arriving, and cause damage serious.So make the reliable approach of the one given warning in advance based on large data intelligence before disaster early warning system realizes disaster generation.
Utility model content
The purpose of this utility model is to provide a kind of intelligent natural disaster early warning system based on large data.
For achieving the above object, the technical scheme adopted is: a kind of intelligent natural disaster early warning system based on large data, it comprises anti-floods remote alarming system, anti-rubble flow remote alarming system, central authorities' alarm receiving system and communication system, described anti-floods remote alarming system comprises freshwater monitoring main frame, level sensor, water flow sensor, rain sensor, sun-generated electric power, Temperature Humidity Sensor and wind direction and wind velocity sensor, described anti-rubble flow remote alarming system comprises rubble flow monitoring main frame, displacement transducer and soil humidity sensor, described central alarm receiving system comprises central receiving host machine, global position system, early warning mobile phone, GIS system of geographic location, described communication system comprises wireless network, Communication Gateway and high in the clouds data server.
After described freshwater monitoring main frame, rubble flow monitoring main frame accepts sensor information, the Data Comparison of set high in the clouds data server, send early warning or warning message by monitoring main frame to central receiving host machine, early warning or warning message are sent to computer terminal in connecting system again by central receiving host machine, mobile phone terminal is reported to the police.
The beneficial effect of employing such scheme is: utilize sensor technology, development of Mobile Internet technology, by large data and cloud computing technology, realize mass data storage and intelligent computation, for government's monitoring and warning and the public provide omnibearing living environment information service.Utilize large data prediction technology, can may potential disaster look-ahead to physical environment, to play notice and the effect taken precautions against ahead of time.Should can effective guarantee public life property safety based on large data intelligence disaster early warning system, the loss that natural disaster reduction brings, also collects data for national correlation department and provides convenient.
The utility model take sensor as carrier, with cloud platform, large data technique for service core, and wireless transmissions information is to government and the public, for government provides the solution of physical environment information acquisition, Disaster prediction, and provide living environment Intelligent Service for the public.
Accompanying drawing explanation
Fig. 1 is the general structure block diagram of the utility model based on the intelligent natural disaster early warning system of large data.
Fig. 2 is anti-floods remote alarming system in the utility model.
Fig. 3 is anti-rubble flow remote alarming system in the utility model.
Fig. 4 is central alarm receiving system in the utility model.
Fig. 5 is communication system in the utility model.
Fig. 6 is flow diagram of the present utility model.
Embodiment
Introduce the utility model further below in conjunction with drawings and Examples, but the utility model is not limited only to following embodiment, can predict those skilled in the art when in conjunction with prior art, performance may produce many variations.
A kind of intelligent natural disaster early warning system based on large data, it comprises anti-floods remote alarming system, anti-rubble flow remote alarming system, central authorities' alarm receiving system and communication system, described anti-floods remote alarming system comprises freshwater monitoring main frame, level sensor, water flow sensor, rain sensor, sun-generated electric power, Temperature Humidity Sensor and wind direction and wind velocity sensor, described anti-rubble flow remote alarming system comprises rubble flow monitoring main frame, displacement transducer and soil humidity sensor, described central alarm receiving system comprises central receiving host machine, global position system, early warning mobile phone, GIS system of geographic location, described communication system comprises wireless network, Communication Gateway and high in the clouds data server.
After described freshwater monitoring main frame, rubble flow monitoring main frame accepts sensor information, the Data Comparison of set high in the clouds data server, send early warning or warning message by monitoring main frame to central receiving host machine, early warning or warning message are sent to computer terminal in connecting system again by central receiving host machine, mobile phone terminal is reported to the police.
If Fig. 1 is the general structure block diagram of the utility model based on the intelligent natural disaster early warning system of large data, Fig. 2 is anti-floods remote alarming system in the utility model, Fig. 3 is anti-rubble flow remote alarming system in the utility model, Fig. 4 is central alarm receiving system in the utility model, Fig. 5 is communication system in the utility model, and Fig. 6 is flow diagram of the present utility model.
Based on large data intelligence disaster early warning system, comprise flood damage monitoring system, mud-stone flow disaster monitoring system, anti-floods remote alarming system, long distance control system, central alarm receiving system, GPS Global Positioning System (GPS), GIS system of geographic location, solar electric power supply system, disaster early warning system is system centered by country and the public and a kind of form of combining of Service Design.System relies on the inductor of terminal device to obtain environmental index, comprises the feedback of physical environment data record and calamity emergency situation.
That this prognoses system adopts is data-oriented architecture (DOA), and therefore, system has extremely strong expanded function.Data (application) ecosystem on its cloud platform can continuous construction and development, and data can constantly accumulate, and application also can constantly increase and expand.For existed system, can be implement resource integration by data.The data these systems produced continuous " importing " are in new data resource pond, again by continually developing and accumulate the application of some little fragmentations on data resource pond, original data system obtains constantly updating with perfect, completes from original application system to the transition of the data ecosystem and migration.Data on cloud platform mainly come unified definition data, management data and service by data register center, data permission center, data exception control center, by market demand unit, management and service is carried out to various application, thus set up the data ecosystem.
On the basis being constructed by cloud platform of whole system, using the data of physical environment and regional information as Data Source, import the database in cloud platform.By monitoring main frame, open a sluice gate the image data such as controller, water level detector, ultrasonic flow meter, tipping bucket rain gauge, CCTV camera, wind speed wind direction sensor, humiture detector, displacement detector, soil moisture probe, anti-floods long-distance alarm apparatus, Distributed Calculation is carried out with the data in database, reach certain be specifically worth when calculating physical environment index, warning message is informed to operator on duty, national correlation department and the public, operator on duty, national correlation department and the public receive this information by terminal.Make disaster can obtain early warning and strick precaution ahead of time.Generally, cloud platform has and carries out record to physical environment situation, makes report in time, and sends to country and individual for the function of inquiry.
Described flood damage monitor and early warning system is according to flood damage and drought evil and a set of remote intelligent monitoring product of exploitation.Mainly Real-Time Monitoring is carried out and early warning to the water level in reservoir, lake, river.Main frame adopts existing GSM/GPRS/CDMA/3G/4G Internet Transmission warning message, and long transmission distance, quorum sensing inhibitor are wide, network stabilization.System is primarily of independent research water level detector, monitoring alarm host machine, monitor server, client forms, and adopt solar powered, can increase and join 4 camera scene acquisition pictures or video recording, monitoring water level severity control, wind speed and direction is monitored, rainfall monitoring, temperature-humidity monitoring, can be manual, automatic initiate notification center, automatic record flow, SMS starts opens a sluice gate to control, over-current and-load is protected automatically, current/voltage Real-Time Monitoring, report to the police and draw water at electricity, map can show automatically, 16 can be expanded at most open a sluice gate to control, automatically can protect each controller current monitoring of opening a sluice gate.
Described mud-stone flow disaster monitor and early warning system comprises the subsystem such as soil moisture monitoring system, mountain landslide supervision system.To dangerous dykes and dams, hillside soil moisture real-time remote monitoring, the true moisture of the various soil of reaction that can be directly stable, the long-term dynamics realizing moisture is monitored continuously, monitors massif displacement, provides effective assessment data to the safe work of flood prevention such as dykes and dams, massif.
Described anti-floods remote alarming system comprises the subsystems such as solar electric power supply system, humiture observation system, rainfall monitoring system, water level monitoring system, anti-floods remote alarming system mainly monitors size river level, reservoir level, large-size lake, water level of yangtze river, the Yellow River water level etc., the change of their water levels of real-time monitoring, early warning water level and alarm water level can be set, send short messages to related personnel or to Surveillance center's photos and sending messages once water level reaches warning line at once.Relevant departments personnel do prevention work after receiving disaster alarm information, take precautions against, find early the generation of dangerous situation, early Du Jie the condition of a disaster ahead of time, can effectively reduce casualties and property loss.And equipment itself is antitheft, someone destroys this device context and reports to the police and remote alarms.
Described central alarm receiving system can connect 8 road alarm cards, and every road can receive 500 tunnel alarm host machine; Can timing detection alarm Host Status; Can mass-send and control alarm host machine state; Computer display alarm alert on software can be connected; Can electronic chart display alarm position or circuit; Distance of receiving a crime report is unlimited, can multilevel center networking.
In order to ensure the reliability that whole system data are transmitted and high efficiency, whole system adopts the radio network techniques such as GSM/GPRS/CDMA/3G/4G.The software and hardware of the composition of whole system, communications protocol and radio node is organically combined, makes it have the feature that reliability is high, coverage is large.The particularly selection of multiple network standard, allows data transmit more flexible.
Based on the perfection fusion that large data intelligence disaster early warning system is internet, Internet of Things, large data and cloud computing technology, this system is managed by intelligent monitoring, intelligent management is realized to the monitoring of physical environment and early warning, solves the public owing to not knowing that disaster causes life property loss problem in time.The above is only preferred implementation of the present utility model; should be understood that; for the those of ordinary skill of this technology neighborhood; under the prerequisite not departing from the utility model principle; can also carry out some improvement to the utility model, these improvement also fall in the protection domain of the utility model claim.
Claims (2)
1. the intelligent natural disaster early warning system based on large data, it is characterized in that: it comprises anti-floods remote alarming system, anti-rubble flow remote alarming system, central authorities' alarm receiving system and communication system, described anti-floods remote alarming system comprises freshwater monitoring main frame, level sensor, water flow sensor, rain sensor, sun-generated electric power, Temperature Humidity Sensor and wind direction and wind velocity sensor, described anti-rubble flow remote alarming system comprises rubble flow monitoring main frame, displacement transducer and soil humidity sensor, described central alarm receiving system comprises central receiving host machine, global position system, early warning mobile phone, GIS system of geographic location, described communication system comprises wireless network, Communication Gateway and high in the clouds data server.
2. the intelligent natural disaster early warning system based on large data according to claim 1, it is characterized in that: after described freshwater monitoring main frame, rubble flow monitoring main frame accepts sensor information, the Data Comparison of set high in the clouds data server, send early warning or warning message by monitoring main frame to central receiving host machine, early warning or warning message are sent to computer terminal in connecting system again by central receiving host machine, mobile phone terminal is reported to the police.
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| CN201520946433.6U CN205177101U (en) | 2015-11-24 | 2015-11-24 | Intelligence natural disasters early warning system based on big data |
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| CN201520946433.6U CN205177101U (en) | 2015-11-24 | 2015-11-24 | Intelligence natural disasters early warning system based on big data |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105825636A (en) * | 2016-05-27 | 2016-08-03 | 厦门精图信息技术有限公司 | All-weather water flow monitoring and warning system based on Internet of things |
| CN106054281A (en) * | 2016-05-18 | 2016-10-26 | 上海禹胜信息科技有限公司 | Meteorological disaster automatic monitoring and early warning system |
| CN106442935A (en) * | 2016-09-30 | 2017-02-22 | 防城港市海河堤管理站 | Water and soil erosion monitoring system |
| CN107993411A (en) * | 2018-01-30 | 2018-05-04 | 南昌工程学院 | A kind of disaster detects early warning system |
| CN108364435A (en) * | 2018-02-22 | 2018-08-03 | 海南师范大学 | A kind of common natural calamity early warning system in international tourism island |
| WO2018152797A1 (en) * | 2017-02-25 | 2018-08-30 | 深圳益强信息科技有限公司 | Big data based water level alarm system and method |
| CN108896723A (en) * | 2018-04-11 | 2018-11-27 | 安徽沃屹智能装备有限公司 | A kind of intelligent water volume data processing unit |
| CN110930650A (en) * | 2019-11-24 | 2020-03-27 | 新乡学院 | Natural disaster early warning system based on wireless sensor |
| CN111369766A (en) * | 2020-04-15 | 2020-07-03 | 中科星图(深圳)数字技术产业研发中心有限公司 | Water conservancy early warning and household notification system and method |
| CN111739258A (en) * | 2020-05-09 | 2020-10-02 | 陕西理工大学 | Natural disaster early warning system based on computer |
| CN111932833A (en) * | 2020-08-12 | 2020-11-13 | 华北水利水电大学 | Mountain area small watershed mountain torrent early warning system |
| CN113362570A (en) * | 2021-06-22 | 2021-09-07 | 宁夏尚信酬勤科技有限公司 | Natural disaster monitoring and early warning system |
| CN113658464A (en) * | 2020-12-30 | 2021-11-16 | 杭州水行舟网络科技有限公司 | Network education distributed management system |
-
2015
- 2015-11-24 CN CN201520946433.6U patent/CN205177101U/en not_active Expired - Fee Related
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106054281A (en) * | 2016-05-18 | 2016-10-26 | 上海禹胜信息科技有限公司 | Meteorological disaster automatic monitoring and early warning system |
| CN105825636A (en) * | 2016-05-27 | 2016-08-03 | 厦门精图信息技术有限公司 | All-weather water flow monitoring and warning system based on Internet of things |
| CN106442935A (en) * | 2016-09-30 | 2017-02-22 | 防城港市海河堤管理站 | Water and soil erosion monitoring system |
| WO2018152797A1 (en) * | 2017-02-25 | 2018-08-30 | 深圳益强信息科技有限公司 | Big data based water level alarm system and method |
| CN107993411A (en) * | 2018-01-30 | 2018-05-04 | 南昌工程学院 | A kind of disaster detects early warning system |
| CN108364435A (en) * | 2018-02-22 | 2018-08-03 | 海南师范大学 | A kind of common natural calamity early warning system in international tourism island |
| CN108896723A (en) * | 2018-04-11 | 2018-11-27 | 安徽沃屹智能装备有限公司 | A kind of intelligent water volume data processing unit |
| CN110930650A (en) * | 2019-11-24 | 2020-03-27 | 新乡学院 | Natural disaster early warning system based on wireless sensor |
| CN111369766A (en) * | 2020-04-15 | 2020-07-03 | 中科星图(深圳)数字技术产业研发中心有限公司 | Water conservancy early warning and household notification system and method |
| CN111739258A (en) * | 2020-05-09 | 2020-10-02 | 陕西理工大学 | Natural disaster early warning system based on computer |
| CN111932833A (en) * | 2020-08-12 | 2020-11-13 | 华北水利水电大学 | Mountain area small watershed mountain torrent early warning system |
| CN111932833B (en) * | 2020-08-12 | 2021-11-30 | 华北水利水电大学 | Mountain area small watershed mountain torrent early warning system |
| CN113658464A (en) * | 2020-12-30 | 2021-11-16 | 杭州水行舟网络科技有限公司 | Network education distributed management system |
| CN113362570A (en) * | 2021-06-22 | 2021-09-07 | 宁夏尚信酬勤科技有限公司 | Natural disaster monitoring and early warning system |
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