CN104821065A - Mountain disaster monitoring, forecasting and early warning system - Google Patents

Mountain disaster monitoring, forecasting and early warning system Download PDF

Info

Publication number
CN104821065A
CN104821065A CN201510042319.5A CN201510042319A CN104821065A CN 104821065 A CN104821065 A CN 104821065A CN 201510042319 A CN201510042319 A CN 201510042319A CN 104821065 A CN104821065 A CN 104821065A
Authority
CN
China
Prior art keywords
early warning
monitoring
warning
data
rubble flow
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
Application number
CN201510042319.5A
Other languages
Chinese (zh)
Inventor
陈宁生
杨成林
丁海涛
邓明枫
胡桂胜
黄娜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Mountain Hazards and Environment IMHE of CAS
Original Assignee
Institute of Mountain Hazards and Environment IMHE of CAS
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Institute of Mountain Hazards and Environment IMHE of CAS filed Critical Institute of Mountain Hazards and Environment IMHE of CAS
Priority to CN201510042319.5A priority Critical patent/CN104821065A/en
Publication of CN104821065A publication Critical patent/CN104821065A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a mountain disaster monitoring, forecasting and early warning system which is characterized by comprising a data acquisition system, a data transmission system, a data processing center and an early warning system. The data acquisition system is used for collecting relevant data information and transmitting the relevant data information to the data processing center through the data transmission system. The data processing center analyzes and processes the transmitted data and stores the data. The early warning system judges whether to carry out an early warning operation or not according to the processing result of the data processing center. The system belongs to early warning and an early warning method based on a disaster forming mechanism and a disaster forming process, the precision is high, the false alarm rate is low, the construction cost of the whole set of system is low, the system is easy to realize and is promoted to hydropower, transportation, and city monitoring and early warning practices through experiments, and significant disaster reduction benefit and social and economic benefit are obtained.

Description

Mountain region disaster monitoring and forecasting and early warning system
Technical field
The present invention relates to a kind of mountain region disaster monitoring and forecasting and early warning field, especially a kind of mountain region disaster monitoring and forecasting and early warning system.
Background technology
Rubble flow is multi-point and wide-ranging geologic hazard, frequently occurs in recent years, mud-stone flow disasters as a large amount of in three the valley ditches in Chinese 2010 Zhouqu County, peaceful civilian family ditch etc., causes Chinese more than 2900 death then missing; Washington state landslide in 2014 is converted into mud-stone flow disaster and makes the dead missing imperial scale mud-stone flow disaster of 45 people show that its task of taking precautions against natural calamities is still very arduous.Because the investment of engineering Disaster Prevention Measures is high, the cycle is long, only can solve part Problems of Disaster Preparedness And Reduction in a short time; For disastrous rubble flow, monitoring and warning has that cost is low, the duration is short, the feature of instant effect.Be current most economical effective mitigation means, particularly can avoid a large amount of casualties.
The key issue existed comprises:
(1) effective recognition methods is lacked to potential rubble flow landslide, cannot effectively predict it and monitor;
(2) lacking the early warning based on formation mechanism of disaster and forecasting procedure, still there is the not high problem of precision in the traditional statistical method of main dependence and single critical quantity of precipitation index in actual applications;
(3) monitoring equipment exists expensive, economic and practical difference and poor stability, the problem that fiduciary level is low.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of mountain region disaster monitoring and forecasting and early warning system at this, based on early warning and the forecasting procedure of formation mechanism of disaster and disaster process, precision is high, rate of false alarm is low, and it is lower that whole system builds expense, is easy to realize; Extend to the monitoring and warning practice in water power, traffic and cities and towns by experiment, achieve remarkable Benefits of Disaster Reduction and economic results in society.
The present invention is achieved in that a kind of mountain region disaster monitoring and forecasting of structure and early warning system, it is characterized in that: this system comprises data acquisition system (DAS), data transmission system, data processing centre (DPC), early warning system;
Data acquisition system (DAS) is for gathering related data information and transferring to data processing centre (DPC) by data transmission system, and data processing centre (DPC) communicates with early warning system, according to the result of data processing centre (DPC), early warning system carries out whether early warning operates.
According to mountain region disaster monitoring and forecasting of the present invention and early warning system, it is characterized in that:
Data acquisition system (DAS) comprises respectively: rain sensor, mud level sensor, hole are containing water sensor, infra-acoustic vibration sensor;
Data transmission system is made up of Beidou satellite communication system and GPRS/GSM communication network; Data processing centre (DPC) has Beidou satellite communication receiving terminal and data server;
Rain sensor, mud level sensor, hole connect with corresponding data collection station respectively containing water sensor, infra-acoustic vibration sensor, and for gathering relevant information, data collection station is connected with long-distance radio communication terminal, Beidou satellite communication terminal;
Long-distance radio communication terminal is realized and data processing centre's data communication by GPRS/GSM communication network accessing Internet network;
Beidou satellite communication terminal, by Beidou satellite communication system and the wireless connections of Beidou satellite communication receiving terminal, realizes the data communication with data processing centre (DPC);
Early warning system has short message warning gateway, can send early warning information to personnel's mobile phone.
According to mountain region disaster monitoring and forecasting of the present invention and early warning system, it is characterized in that: also comprise field Power supply system for powering to data acquisition system (DAS), field Power supply system comprises accumulator and solar electric power supply system.
According to mountain region disaster monitoring and forecasting of the present invention and early warning system, it is characterized in that:
Prediction and early warning realization flow as follows:
(1) by rubble flow early prediction, predict whether disaster may occur; If likely there is disaster, carry out rubble flow previous rainfall amount monitoring and warning; Cannot then not need to carry out;
(2) whether rubble flow previous rainfall amount monitoring and warning, reach threshold value of warning, do not reach, and continues monitoring; If reached, carry out rubble flow start-up course monitoring and warning;
(3) whether rubble flow start-up course monitoring and warning, reach threshold value of warning, do not reach, and rubble flow does not start and continues monitoring; If reached, carry out mud-rock flow movement process monitoring early warning;
(4) whether mud-rock flow movement process monitoring early warning, reach threshold value of warning, do not reach, and but rubble flow has started small continuation monitoring; If reached, carry out rubble flow and face calamity monitoring and warning;
(5) rubble flow faces calamity monitoring and warning, whether reaches threshold value of warning, does not reach, and but rubble flow has started small continuation monitoring; If reached, notice hazardous location personnel withdraw.
The invention has the advantages that: 1) this method is the early stage dynamic early-warning system based on debris flow formation master control condition; 2) this method establishes the rubble flow landslides startup multi objective method for early warning based on based on precipitation, hole pressure and water cut, determine from Debris flow initiation to confluxing again to the threshold value of warning caused disaster, define the monitoring and warning system of multistage multi objective, improve early warning precision; 3) this method is the real-time system for monitoring and pre-warning of many equipment.
Accompanying drawing explanation
Fig. 1 is monitoring and forecasting of the present invention and early warning system overall schematic
Fig. 2 is that monitoring and forecasting of the present invention and early warning system implement schematic diagram
Fig. 3 is operational scheme schematic diagram of the present invention
Fig. 4 is early warning schematic flow sheet
Fig. 5 is mud-stone flow disaster method for early prediction block diagram
Wherein: data acquisition system (DAS) 1, rain sensor 1a, mud level sensor 1b, hole is containing water sensor 1c, infra-acoustic vibration sensor 1d, data transmission system 2, Beidou satellite communication system 2a, GPRS/GSM communication network 2b, data processing centre (DPC) 3, Beidou satellite communication receiving terminal 3a, early warning system 4, short message warning gateway 4a, field Power supply system 5, accumulator 5a, solar electric power supply system 5b, data collection station 6, long-distance radio communication terminal 7, Beidou satellite communication terminal 8.
Embodiment
Below in conjunction with accompanying drawing 1-5, the present invention is described in detail, is clearly and completely described the technical scheme in the embodiment of the present invention, and obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The invention provides a kind of mountain region disaster monitoring and forecasting and early warning system, implemented in the following manner:
As Figure 1-3: this system comprises data acquisition system (DAS) 1, data transmission system 2, data processing centre (DPC) 3, early warning system 4; Data acquisition system (DAS) 1 is for gathering related data information and transferring to data processing centre (DPC) 3 by data transmission system 2, and data processing centre (DPC) 3 communicates with early warning system 4, according to the result of data processing centre (DPC) 3, early warning system 4 carries out whether early warning operates; Also comprise field Power supply system 5 for powering to data acquisition system (DAS) 1, field Power supply system 5 comprises accumulator 5a and solar electric power supply system 5b.
Described mountain region disaster monitoring and forecasting and early warning system, data acquisition system (DAS) 1 comprises respectively: rain sensor 1a, mud level sensor 1b, hole are containing water sensor 1c, infra-acoustic vibration sensor 1d; Data transmission system 2 is made up of Beidou satellite communication system 2a and GPRS/GSM communication network 2b; Data processing centre (DPC) 3 has Beidou satellite communication receiving terminal 3a and data server; Rain sensor 1a, mud level sensor 1b, hole connect with corresponding data collection station 6 respectively containing water sensor 1c, infra-acoustic vibration sensor 1d, for gathering relevant information, data collection station 6 is connected with long-distance radio communication terminal 7, Beidou satellite communication terminal 8; Long-distance radio communication terminal 7 is realized and data processing centre (DPC) 3 data communication by GPRS/GSM communication network 2b accessing Internet network; Beidou satellite communication terminal 8, by Beidou satellite communication system 2a and Beidou satellite communication receiving terminal 3a wireless connections, realizes the data communication with data processing centre (DPC) 3; Early warning system 4 has short message warning gateway 4a, can send early warning information to personnel's mobile phone.
Operational scheme is as follows:
(1) by rubble flow early prediction, predict whether disaster may occur; If likely there is disaster, carry out rubble flow previous rainfall amount monitoring and warning; Cannot then not need to carry out;
(2) whether rubble flow previous rainfall amount monitoring and warning, reach threshold value of warning, do not reach, and continues monitoring; If reached, carry out rubble flow start-up course monitoring and warning;
(3) whether rubble flow start-up course monitoring and warning, reach threshold value of warning, do not reach, and rubble flow does not start and continues monitoring; If reached, carry out mud-rock flow movement process monitoring early warning;
(4) whether mud-rock flow movement process monitoring early warning, reach threshold value of warning, do not reach, and but rubble flow has started small continuation monitoring; If reached, carry out rubble flow and face calamity monitoring and warning;
(5) rubble flow faces calamity monitoring and warning, whether reaches threshold value of warning, does not reach, and but rubble flow has started small continuation monitoring; If reached, notice hazardous location personnel withdraw.
Mud-stone flow disaster monitoring and warning example:
White crane beach, black East Germany power station rubble flow prediction and warning technical examples
It is domestic that power station, white crane beach is positioned at Ningnan County, Sichuan Province and Qiaojia County, Yunnan Province, second step hydropower station of downstream, Jinsha jiang River section, master stream cascade development, have to generate electricity as master, have flood control, sediment trapping concurrently, improve the comprehensive benefit such as Downstream Navigation condition and development reservoir area navigation.Reservoir operation scheme 825 meters, corresponding storage capacity 179 billion cubic meter, aggregate storage capacity 188 billion cubic meter.Underground power house is equipped with 16 units, just intends installed capacity 1,400 ten thousand kilowatts, Mean annual energy production 602.4 hundred million kilowatt hour.Power station is planned major project in 2013 and is formally gone into operation, first batch of unit generation in 2018, the year two thousand twenty Practical Completion.After power station is built up, will be only second to the three gorges hydropower plant becomes Chinese second largest power station.
Crow East Germany power station is positioned on the river course, Jinsha jiang River of Huidong County, Sichuan and boundary, Luquan, Yunnan Province county, it is the first step of Jinshajiang Hydropower Base lower reache four big world level Huge Power Station-black East Germany, power station, white crane beach, Xi Luo Du reservoir and Xiangjiabahydropower project, upper apart from 253 kilometers, kwan-yin rock power station, lower to 180 kilometers, power station, white crane beach.Water catching area 40.61 ten thousand square kilometres, accounts for 86% of Drainage Area of Jinsha River area; Average annual flow 3810 cubes of meter per seconds, run-off 1200 billion cubic meter.Establish water storage level 975 meters, aggregate storage capacity 76 billion cubic meter at the beginning of crow East Germany reservoir, regulate storage capacity 26 billion cubic meter, storage capacity 14.5 billion cubic meter.Installed capacity of power station 8,700,000 kilowatts, average annual energy generation about 38,700,000,000 kilowatt hour.
Main research :white crane beach, black East Germany power station rubble flow prediction and warning technology are based on the needs of preventing and reducing natural disasters of white crane beach, the construction of hydropower stations of black East Germany and operation, in conjunction with basic survey, the index study that causes disaster, high-new monitoring and warning technology, realize the region early stage performance prediction real-time process early warning of hydroelectric project key area mud-stone flow disaster, carry out monitoring and warning demonstration, build mud-stone flow disaster monitoring and warning platform, and carry out rubble flow and to prevent and reduce natural disasters training, for construction of hydropower plant and the engineering of operation phase and personal security escort.
Mud-stone flow disaster database establishment and rubble flow danger are studied: having on statistics, the basis that arranges and check to study area, carry out probe and the cataloguing of rubble flow in study area, set up the mud-stone flow disaster database of the feature such as history, the origin cause of formation, character, scale based on the formation of rubble flow, motion, accumulation and rubble flow; Survey data is analyzed, in conjunction with the impact of rubble flow on aspects such as mankind's activity, social economy, ecologic environments, carry out single-gully mud-rock flow liability, danger (harm object, disastrous risk) assessment, and liability and dangerous comprehensive sub-areas are carried out to study area rubble flow; The basis of mud-stone flow disaster database analysis is carried out rubble flow Critical Rainfall index study, for rubble flow early prediction, Monitoring and forecasting system in real-time, long term monitoring early warning provide data supporting and service.
Rubble flow early prediction system: under the seismic activity before research debris flow occurrence and extreme climate and mankind's activity background, set up the early stage dynamic prediction model of region rubble flow; Based on the analysis of single-gully mud-rock flow formation condition, carry out checking of the features such as thing source, mankind's activity, carry out single-gully mud-rock flow liability performance prediction (achievement in research by sub-problem one); The early stage performance prediction of general area rubble flow and single-gully mud-rock flow liability performance prediction, set up the early stage performance prediction assessment models of rubble flow.Year-by-year carries out the rubble flow liability early prediction of zones of different different accuracy, specifically comprises: the 1) early prediction of DEBRIS FLOW IN THE UPPER REACHES OF CHANGJIANG RIVER, proposes the emphasis target area that rubble flow is easily sent out: area about 1,000,000 km 2, half size scale 000,000; 2) at the early stage performance prediction of rubble flow in white crane beach, upstream, Jinsha jiang River and black East Germany power station, half size scale 00,000 or 1:40 ten thousand; 3) calmodulin binding domain CaM and single-gully mud-rock flow liability performance prediction.
Rubble flow Monitoring and forecasting system in real-time threshold value: by statistics, numerical simulation calculation, the field prototype experiment of the rainfall of concrete mud-stone flow disaster event, the monitoring and warning index of the startup of research and application catchment basin of debris flow and motion process, specifically comprise quantity of precipitation threshold value, pore water pressure, the Changing Pattern of water cut and threshold value, mudstone miscarriage Process of Confluence threshold value, rubble flow causes disaster dangerous threshold value, sets up corresponding pre-warning indexes system.
The real-time system for monitoring and pre-warning demonstration of rubble flow: to start according to mud-stone flow disaster, motion and the feature of disaster process, sets up the comprehensive real-time system for monitoring and pre-warning of the characteristic parameters such as calamity feature that move based on precipitation, soil body hole pressure, water content of soil, vibration, disaster body, face.And select power station, white crane beach short person's ditch, great Zhai Gou, the demonstration of debris flow monitoring pre-warning system is carried out in flower gully, crow East Germany power station, lower white beach ditch, adopt advanced rubble flow monitoring sensor and power communications equipment, rubble flow Real-Time Monitoring, transmission and early warning under guarantee adverse weather condition.Meanwhile, set up the early warning platform of set early prediction and debris flow formation motion process Real-Time Monitoring, according to the threshold trait index in formation campaign each stage of rubble flow, set up rubble flow and face calamity advanced warning grade Classification Index, standard.And lay situation according to the website of different raceway groove, realize 5-15 minute give warning in advance.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (4)

1. mountain region disaster monitoring and forecasting and an early warning system, is characterized in that: this system comprises data acquisition system (DAS) (1), data transmission system (2), data processing centre (DPC) (3), early warning system (4);
Data acquisition system (DAS) (1) is for gathering related data information and transferring to data processing centre (DPC) (3) by data transmission system (2), data processing centre (DPC) (3) communicates with early warning system (4), according to the result of data processing centre (DPC) (3), early warning system (4) carries out whether early warning operates.
2. mountain region disaster monitoring and forecasting and early warning system according to claim 1, is characterized in that:
Data acquisition system (DAS) (1) comprises respectively: rain sensor (1a), mud level sensor (1b), hole are containing water sensor (1c), infra-acoustic vibration sensor (1d);
Data transmission system (2) is made up of Beidou satellite communication system (2a) and GPRS/GSM communication network (2b); Data processing centre (DPC) (3) has Beidou satellite communication receiving terminal (3a) and data server;
Rain sensor (1a), mud level sensor (1b), hole connect with corresponding data collection station (6) respectively containing water sensor (1c), infra-acoustic vibration sensor (1d), for gathering relevant information, data collection station (6) is connected with long-distance radio communication terminal (7), Beidou satellite communication terminal (8);
Long-distance radio communication terminal (7) is realized and data processing centre (DPC) (3) data communication by GPRS/GSM communication network (2b) accessing Internet network;
Beidou satellite communication terminal (8), by Beidou satellite communication system (2a) and Beidou satellite communication receiving terminal (3a) wireless connections, realizes the data communication with data processing centre (DPC) (3);
Early warning system (4) has short message warning gateway (4a), can send early warning information to personnel's mobile phone.
3. mountain region disaster monitoring and forecasting and early warning system according to claim 1, it is characterized in that: also comprise field Power supply system (5) for powering to data acquisition system (DAS) (1), field Power supply system (5) comprises accumulator (5a) and solar electric power supply system (5b).
4. mountain region disaster monitoring and forecasting and early warning system according to claim 1, is characterized in that:
Prediction and early warning realization flow as follows:
(1) by rubble flow early prediction, predict whether disaster may occur; If likely there is disaster, carry out rubble flow previous rainfall amount monitoring and warning; Cannot then not need to carry out;
(2) whether rubble flow previous rainfall amount monitoring and warning, reach threshold value of warning, do not reach, and continues monitoring; If reached, carry out rubble flow start-up course monitoring and warning;
(3) whether rubble flow start-up course monitoring and warning, reach threshold value of warning, do not reach, and rubble flow does not start and continues monitoring; If reached, carry out mud-rock flow movement process monitoring early warning;
(4) whether mud-rock flow movement process monitoring early warning, reach threshold value of warning, do not reach, and but rubble flow has started small continuation monitoring; If reached, carry out rubble flow and face calamity monitoring and warning;
(5) rubble flow faces calamity monitoring and warning, whether reaches threshold value of warning, does not reach, and but rubble flow has started small continuation monitoring; If reached, notice hazardous location personnel withdraw.
CN201510042319.5A 2015-01-28 2015-01-28 Mountain disaster monitoring, forecasting and early warning system Pending CN104821065A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510042319.5A CN104821065A (en) 2015-01-28 2015-01-28 Mountain disaster monitoring, forecasting and early warning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510042319.5A CN104821065A (en) 2015-01-28 2015-01-28 Mountain disaster monitoring, forecasting and early warning system

Publications (1)

Publication Number Publication Date
CN104821065A true CN104821065A (en) 2015-08-05

Family

ID=53731346

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510042319.5A Pending CN104821065A (en) 2015-01-28 2015-01-28 Mountain disaster monitoring, forecasting and early warning system

Country Status (1)

Country Link
CN (1) CN104821065A (en)

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069985A (en) * 2015-08-19 2015-11-18 湖北高通空间技术有限责任公司 System and method for monitoring geological disaster based on Internet technology
CN105279903A (en) * 2015-10-27 2016-01-27 西南民族大学 Flush flood and debris flow warning method based on pore water pressure monitoring
CN105678967A (en) * 2016-04-20 2016-06-15 国家电网公司 Debris flow early warning system based on satellite remote sensing image
CN106644381A (en) * 2016-12-23 2017-05-10 中国水利水电科学研究院 Monitoring system for water current induced ground vibration
CN107784792A (en) * 2016-08-24 2018-03-09 南京易周能源科技有限公司 A kind of mountain landslide supervision early warning system
CN108122376A (en) * 2017-12-29 2018-06-05 北京国电高科科技有限公司 A kind of seismic monitoring early warning system and method
CN108154651A (en) * 2018-01-29 2018-06-12 西安工程大学 A kind of device and method for landslide disaster Monitoring and forecasting system in real-time
CN108717772A (en) * 2018-07-18 2018-10-30 湖北思高科技发展有限公司 A kind of geological disaster monitoring system based on Internet of Things
CN109035709A (en) * 2018-09-13 2018-12-18 中国科学院、水利部成都山地灾害与环境研究所 A kind of method for early warning, the apparatus and system of mountain torrents mud-rock flow
CN109166280A (en) * 2018-09-29 2019-01-08 成都理工大学 A kind of EARLY RECOGNITION method and its application of meizoseismal area mud-rock flow
WO2019015320A1 (en) * 2017-07-20 2019-01-24 中兴通讯股份有限公司 Incident processing method and device
CN109859442A (en) * 2019-04-02 2019-06-07 中国科学院、水利部成都山地灾害与环境研究所 Mountain region disaster chain prediction and monitoring and warning system and implementation process
CN110706456A (en) * 2019-10-19 2020-01-17 中国科学院、水利部成都山地灾害与环境研究所 Rapid early warning system for debris flow
CN110930653A (en) * 2019-12-31 2020-03-27 宜禾股份有限公司 Integrated dynamic disaster early warning system
CN111524322A (en) * 2020-04-29 2020-08-11 中国水利水电科学研究院 Side slope geological disaster early warning system
CN111641449A (en) * 2020-05-28 2020-09-08 河南北斗卫星导航平台有限公司 Natural disasters monitoring devices based on big dipper
CN112466093A (en) * 2020-11-24 2021-03-09 重庆两江卫星移动通信有限公司 Natural disaster monitoring and early warning system and method based on low-earth orbit satellite
CN113593207A (en) * 2021-06-18 2021-11-02 哈尔滨理工大学 Pore water pressure online monitoring and early warning system and method based on 5G network
CN114360214A (en) * 2022-03-18 2022-04-15 四川省公路规划勘察设计研究院有限公司 Extra-large scale glacier debris flow early warning method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10232286A (en) * 1997-02-19 1998-09-02 Nec Corp Method and system for predicting disaster in mountainous region
JP2001034874A (en) * 1999-07-21 2001-02-09 Keisoku Giken:Kk Disaster detection sensor transmission device
CN203966295U (en) * 2014-03-10 2014-11-26 北京卓越经纬测控技术有限公司 A kind of rubble flow safety monitoring prior-warning device
CN204102291U (en) * 2014-09-22 2015-01-14 中国科学院、水利部成都山地灾害与环境研究所 Flush flood and debris flow disaster portable emergency monitoring and warning equipment and instrument

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10232286A (en) * 1997-02-19 1998-09-02 Nec Corp Method and system for predicting disaster in mountainous region
JP2001034874A (en) * 1999-07-21 2001-02-09 Keisoku Giken:Kk Disaster detection sensor transmission device
CN203966295U (en) * 2014-03-10 2014-11-26 北京卓越经纬测控技术有限公司 A kind of rubble flow safety monitoring prior-warning device
CN204102291U (en) * 2014-09-22 2015-01-14 中国科学院、水利部成都山地灾害与环境研究所 Flush flood and debris flow disaster portable emergency monitoring and warning equipment and instrument

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨成林等: "基于泥石流形成运动过程的泥石流灾害监测预警系统", 《自然灾害学报》 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069985A (en) * 2015-08-19 2015-11-18 湖北高通空间技术有限责任公司 System and method for monitoring geological disaster based on Internet technology
CN105279903A (en) * 2015-10-27 2016-01-27 西南民族大学 Flush flood and debris flow warning method based on pore water pressure monitoring
CN105279903B (en) * 2015-10-27 2017-09-15 西南民族大学 A kind of mountain torrents debris flow early-warning method based on monitoring pore water pressure
CN105678967A (en) * 2016-04-20 2016-06-15 国家电网公司 Debris flow early warning system based on satellite remote sensing image
CN107784792A (en) * 2016-08-24 2018-03-09 南京易周能源科技有限公司 A kind of mountain landslide supervision early warning system
CN106644381A (en) * 2016-12-23 2017-05-10 中国水利水电科学研究院 Monitoring system for water current induced ground vibration
WO2019015320A1 (en) * 2017-07-20 2019-01-24 中兴通讯股份有限公司 Incident processing method and device
CN108122376A (en) * 2017-12-29 2018-06-05 北京国电高科科技有限公司 A kind of seismic monitoring early warning system and method
CN108154651A (en) * 2018-01-29 2018-06-12 西安工程大学 A kind of device and method for landslide disaster Monitoring and forecasting system in real-time
CN108717772A (en) * 2018-07-18 2018-10-30 湖北思高科技发展有限公司 A kind of geological disaster monitoring system based on Internet of Things
CN109035709A (en) * 2018-09-13 2018-12-18 中国科学院、水利部成都山地灾害与环境研究所 A kind of method for early warning, the apparatus and system of mountain torrents mud-rock flow
CN109166280A (en) * 2018-09-29 2019-01-08 成都理工大学 A kind of EARLY RECOGNITION method and its application of meizoseismal area mud-rock flow
CN109166280B (en) * 2018-09-29 2020-09-11 成都理工大学 Early identification method for debris flow in strong earthquake region and application thereof
CN109859442A (en) * 2019-04-02 2019-06-07 中国科学院、水利部成都山地灾害与环境研究所 Mountain region disaster chain prediction and monitoring and warning system and implementation process
CN110706456A (en) * 2019-10-19 2020-01-17 中国科学院、水利部成都山地灾害与环境研究所 Rapid early warning system for debris flow
CN110706456B (en) * 2019-10-19 2021-06-15 中国科学院、水利部成都山地灾害与环境研究所 Rapid early warning system for debris flow
CN110930653A (en) * 2019-12-31 2020-03-27 宜禾股份有限公司 Integrated dynamic disaster early warning system
CN111524322A (en) * 2020-04-29 2020-08-11 中国水利水电科学研究院 Side slope geological disaster early warning system
CN111641449A (en) * 2020-05-28 2020-09-08 河南北斗卫星导航平台有限公司 Natural disasters monitoring devices based on big dipper
CN112466093A (en) * 2020-11-24 2021-03-09 重庆两江卫星移动通信有限公司 Natural disaster monitoring and early warning system and method based on low-earth orbit satellite
CN113593207A (en) * 2021-06-18 2021-11-02 哈尔滨理工大学 Pore water pressure online monitoring and early warning system and method based on 5G network
CN114360214A (en) * 2022-03-18 2022-04-15 四川省公路规划勘察设计研究院有限公司 Extra-large scale glacier debris flow early warning method
CN114360214B (en) * 2022-03-18 2022-06-21 四川省公路规划勘察设计研究院有限公司 Extra-large scale glacier debris flow early warning method

Similar Documents

Publication Publication Date Title
CN104821065A (en) Mountain disaster monitoring, forecasting and early warning system
CN104898183B (en) Heavy rain urban waterlogging modelling evaluation method
CN107195164B (en) Mountain flood on-line monitoring identification method for early warning and its early warning system
CN104268791B (en) The health evaluating method of 500kV ultra-high-tension power transmission lines in mountain environment
CN109859442A (en) Mountain region disaster chain prediction and monitoring and warning system and implementation process
CN107656325A (en) A kind of urban waterlogging automatic early-warning system and method for early warning
CN115099677B (en) Tailing pond safety production risk grading early warning method
CN105427189A (en) Power grid vulnerability evaluation method under landslide hazard
Yao et al. Analysis and evaluation of flash flood disasters: a case of Lingbao county of Henan province in China
Ngo et al. Early warning systems for flash floods and debris flows in Vietnam: A review
CN204551213U (en) A kind of highway deformation monitoring system based on CORS base station
Liu et al. City pipe network intelligent service based on GIS and internet of things
Liu et al. Design and implementation of monitoring and early warning system for urban roads waterlogging
Novelo et al. The growth of water demand in Mexico City and the over-exploitation of its aquifers
Huang et al. A decision support system based on GIS for flood prevention of Quanzhou City
CN206070474U (en) A kind of earth and rockfill dam flood control safety monitoring and warning system
Ma et al. Geo-environment risk assessment in Zhengzhou City, China
Feng Image recognition and early warning system of urban waterlogging based on TensorFlow
Yang et al. Study and Design Analysis of Hazard Removal and Reinforcement Scheme of a Bridge Diversion Sluice
Deng et al. Risk analysis of urban waterlogging disaster based on large data simulation
Jin et al. Construction and Application of National Urban Waterlogging Risk Assessment System Based on Big Data
KR102615082B1 (en) A monitoring system using a buried complex IoT sensor device for reservoir and embankment management, and its execution method
Wu et al. Risk assessment of water penetration for shield tunnel construction in coastal area
Tang et al. Intelligent digital system in urban natural hazard mitigation
Peng et al. Landslide emergency monitoring and early warning based on situation awareness sensing

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate 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: 20150805