CN202694521U - Automatic monitoring system for sudden mountain disaster based on displacement sensor technology - Google Patents
Automatic monitoring system for sudden mountain disaster based on displacement sensor technology Download PDFInfo
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- CN202694521U CN202694521U CN 201220358291 CN201220358291U CN202694521U CN 202694521 U CN202694521 U CN 202694521U CN 201220358291 CN201220358291 CN 201220358291 CN 201220358291 U CN201220358291 U CN 201220358291U CN 202694521 U CN202694521 U CN 202694521U
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Abstract
The utility model is applicable to the technical field of geological disaster monitoring and provides an automatic monitoring system for a sudden mountain disaster based on a displacement sensor technology, which comprises at least one data transmitting device used for transmitting monitoring data to a monitoring server and a monitoring server used for analyzing mountain monitoring data; each data transmitting device is connected with at least one sensor for monitoring mountain signals, and the sensor is put in a detected position of a mountain; and the data transmitting device is connected with the monitoring server by a network. Whereby, the automatic monitoring system for the sudden mountain disaster based on the displacement sensor technology can be used for monitoring and early warning geological disasters such as mountain landslide, mud avalanche, and the like conveniently and effectively.
Description
Technical field
The utility model relates to the monitoring technology for geological hazards field, relates in particular to a kind of massif burst fire-disaster automatic monitoring system based on the displacement sensing technology.
Background technology
Perplexing the bloods and droughts of the Chinese nation over thousands of years always, in recent years enter again a multiple phase, serious bloods and droughts takes place frequently, caused the great loss of lives and property, this is taken turns extreme weather and again reminds, accelerate the water conservancy reform and development, improve China's ability of preventing and reducing natural disasters from the basis, very urgent.Mention repeatedly also in the national government file that water conservancy security protection facility makes up and the water conservancy supervisory system, relate to water conservancy security protection facility in file of central authorities " State Council of the Central Committee of the Communist Party of China is about accelerating the decision of water conservancy reform and development " and make up and the water conservancy supervisory system, not lower 5 of disaster reduction and prevention early warning monitoring system.To the year two thousand twenty, substantially build up the able to resisting flood and drought system of disaster reduction, finish the early-warning and predicting system construction of mountain flood Yi Fa district comprehensively.
Traditional video monitoring is the observation of front end, can not be directly as the foundation of disaster alarm, and can not play the effect of timely early warning and monitoring, it depends on hand inspection and analyzes and easily occurs failing to judge and judging by accident, far can not satisfy the demand of water conservancy safety monitoring.The data volume of video system storage is huge, and its mass data increases hydraulic department staff's analysis and work for the treatment of amount greatly, thereby has affected the work efficiency of system.And its transmission line lay with high costs, long construction period, hardware cost, to set up requirement also higher.In addition, the address disaster that China occurs has 1/3 to be to occur beyond the control point, and disguise is very strong, is difficult to investigation out, in case cause disaster, loses very large.
In summary, existing geology monitoring technology obviously exists inconvenience and defective in actual use, so be necessary to be improved.
The utility model content
For above-mentioned defective, the purpose of this utility model is to provide a kind of massif burst fire-disaster automatic monitoring system based on the displacement sensing technology, can be easily to the effective monitoring and warning of the disasters such as slope debris flow, landslide.
To achieve these goals, the utility model provides a kind of massif burst fire-disaster automatic monitoring system based on the displacement sensing technology, and described system comprises:
At least one data transmission device for Monitoring Data being sent to monitor server, each described data transmission device connect at least one sensor for monitoring massif signal, and described sensor places the detection position of described massif;
Be used for analyzing the monitor server of described massif Monitoring Data, described data transmission device and monitor server pass through network connection.
According to the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology of the present utility model, described sensor comprises displacement transducer, obliquity sensor, humidity sensor, rain sensor and level sensor.
According to the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology of the present utility model, described sensor is connected by Zigbee network with data transmission device.
According to the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology of the present utility model, described system comprises the camera arrangement that is connected in described data transmission device.
According to the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology of the present utility model, described monitor server is computing machine.
According to the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology of the present utility model, described sensor has solar powered module.
The sensor that the utility model connects by data transmission device carries out real-time state-detection to the monitoring location of massif, such as massif deformation, stratum vibration and SEA LEVEL VARIATION etc., the data communication device that detects is crossed data transmission device and is sent to the monitor server Treatment Analysis, obtains easily whereby real-time massif situation.Be more preferably, monitoring system also comprises the camera arrangement that is connected in data transmission, when monitor server monitors data ANOMALOUS VARIATIONS is arranged, can control the startup camera arrangement, obtains the real-time image of monitoring location, with better early warning analysis.
Description of drawings
Fig. 1 is the structural representation of monitoring system of the present utility model.
Embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the utility model is further elaborated.Should be appreciated that specific embodiment described herein only in order to explaining the utility model, and be not used in restriction the utility model.
Referring to Fig. 1, the utility model provides a kind of massif burst fire-disaster automatic monitoring system based on the displacement sensing technology, this system 100 comprises monitor server 10 and at least one data transmission device 20, and described monitor server 10 and data transmission device 20 are by network connection, wherein:
Each data transmission device 20 is connected with at least one sensor 30, and in the practical application, sensor 30 places the detection position of massif, can detect whereby the situation of change of massif, and the data that collect are sent to data transmission device 20.Concrete, sensor 30 comprises displacement transducer, obliquity sensor, humidity sensor, rain sensor and level sensor etc., can monitor whereby the delta datas such as displacement, inclination angle, humidity, rainfall and water level of massif check point.
Preferably, displacement transducer and obliquity sensor that the utility model adopts can the Real-time Obtaining different levels comprise XYZ three axles omnibearing massif angle of inclination and displacement data, when massif is subject to year in year out wind and rain etch or geology sedimentation, all sensitive perception of energy of the slight variation at the inclination angle of any direction, model analysis in conjunction with monitor server 10, can grasp health and the moving situation of massif, and obtain the first index of landslide or Dangerous Degree of Debris Flow.The three-shaft displacement and the obliquity sensor that adopt among the utility model embodiment have high precision, Low Drift Temperature, and fast response time, long-time stability are good, the advantage that anti-impact force is strong.Adopted the difference measurement principle to compensate common-mode error and noise effect, built-in temperature is measured and compensation, has long-term stability and high precision, has good precision in-40 ℃ to 125 ℃ temperature range.
Be more preferably, sensor 30 has solar powered module, can conversion solar can for electric energy to sensor 30 power supplies use, prolong whereby the serviceable life of battery, reduce maintenance cost.When sensor 30 with the massif data transmission that gathers to data transmission device 20, data transmission device 20 sends to monitor server 10 by network and carries out Treatment Analysis.Monitor server 10 is preferably computing machine, and it has the functions such as GIS geographical information platform, monitoring and early warning, statistic curve, aid decision-making system, database and data distribution system.Monitor server 10 can be by the situation of GIS platform display data transmissions device 20 directly perceived and peripheral sensor 30 on map, and shows its coordinate; Can demonstrate in real time each website sensing data, the prompting of burst by monitoring and early warning; Draw displacement inclination real-time curve, water level rain condition chart and moisture curve etc. by statistic curve; Can be in conjunction with historical data, experience database, forecast model by aid decision-making system, by data mining, analyze mountain torrents debris flow formation critical condition, the situation of geologic hazard may appear in look-ahead, the auxiliary operator on duty of Surveillance center processes in modes such as man-machine interaction, data correction, integrated data displayings, alert response and decision making function.The database of monitor server 10 adopts large-scale system R Oracle/Sqlserver, whereby each node sensor uploading data is preserved, is retrieved; By data distribution system, when early warning occurs, send a warning message for peripheral resident, notify the masses emergency evacuation, can be used as at ordinary times public information and regularly inform masses' massif health status by government.
Among another embodiment of the present utility model, system 100 also has camera arrangement 40, and this camera arrangement 40 is connected in data transmission device 20.In concrete the application, all kinds of rainfall, displacement, inclination angle, temperature, soil moisture, level sensor are distributed in mountain flood Yi Fa district, each node wireless MANET in the zone, interconnected by one or several 2G/3G gateways and Internet, all kinds of sensor signal values that each node regularly detects self are passed monitor server 10 back.System 100 surveys the abnormal sudden changes such as massif displacement, crack, landslide, avalanche by displacement and obliquity sensor, by sensors such as rainfall, water level, humidity water source and Tu Yuan are monitored, detection may produce the meteorology and hydrology condition of rubble flow or mountain torrents address disaster.When detecting jump signal, uploads at once by sensor 30, jump signal can be that displacement surpasses preset value etc. greater than early warning and alarming threshold values, inclination angle generation sudden change, humidity or water level, after signal process monitoring server 10 analyzing and processing, remind the personnel of Surveillance center to check, control simultaneously camera arrangement 40 and start on-the-spot automatic photo function, image scene is sent to monitoring server 10 automatically carries out alert and check, in order to start the alert response, mountain torrents, debris flow early-warning mechanism.
Be more preferably, among the embodiment of the present utility model, sensor 30 adopts Zigbee networks to be connected with data transmission device 20, and data transmission device 20 receives or the transmission data as the gateway of network, and it is by mobile base station and monitor server 10 realization network services.Zigbee network has low-power consumption, low data bulk, advantage cheaply, and has a higher interference free performance, and high security, high integration and high reliability, the function that has the automatic dynamic networking between each node module, information mode by automatic route in whole Zigbee network is transmitted, thereby has guaranteed the reliability of communication.
In sum, the sensor that the utility model connects by data transmission device carries out real-time state-detection to the monitoring location of massif, such as massif deformation, stratum vibration and SEA LEVEL VARIATION etc., the data communication device that detects is crossed data transmission device and is sent to the monitor server Treatment Analysis, obtains easily whereby real-time massif situation.Be more preferably, monitoring system also comprises the camera arrangement that is connected in data transmission, when monitor server monitors data ANOMALOUS VARIATIONS is arranged, can control the startup camera arrangement, obtains the real-time image of monitoring location, with better early warning analysis.
Certainly; the utility model also can have other various embodiments; in the situation that do not deviate from the utility model spirit and essence thereof; those of ordinary skill in the art work as can make various corresponding changes and distortion according to the utility model, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the utility model.
Claims (6)
1. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology is characterized in that, described system comprises:
At least one data transmission device for Monitoring Data being sent to monitor server, each described data transmission device connect at least one sensor for monitoring massif signal, and described sensor places the monitoring location of described massif;
Be used for analyzing the monitor server of described massif Monitoring Data, described data transmission device and monitor server pass through network connection.
2. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology according to claim 1 is characterized in that, described sensor comprises displacement transducer, obliquity sensor, humidity sensor, rain sensor and level sensor.
3. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology according to claim 1 is characterized in that, described sensor is connected by Zigbee network with data transmission device.
4. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology according to claim 1 is characterized in that, described system comprises the camera arrangement that is connected in described data transmission device.
5. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology according to claim 1 is characterized in that, described monitor server is computing machine.
6. the massif burst fire-disaster automatic monitoring system based on the displacement sensing technology according to claim 1 is characterized in that, described sensor has solar powered module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220358291 CN202694521U (en) | 2012-07-20 | 2012-07-20 | Automatic monitoring system for sudden mountain disaster based on displacement sensor technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201220358291 CN202694521U (en) | 2012-07-20 | 2012-07-20 | Automatic monitoring system for sudden mountain disaster based on displacement sensor technology |
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| CN202694521U true CN202694521U (en) | 2013-01-23 |
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| CN 201220358291 Expired - Fee Related CN202694521U (en) | 2012-07-20 | 2012-07-20 | Automatic monitoring system for sudden mountain disaster based on displacement sensor technology |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104581089A (en) * | 2015-02-08 | 2015-04-29 | 张朝利 | Quantitative landslide change monitoring system and landslide change predicting method |
| CN104655191A (en) * | 2015-02-09 | 2015-05-27 | 中国地质大学（武汉） | Multi-parameter and three-dimensional monitoring method and monitoring probe for reservoir bank of water-level-fluctuating zone |
| CN104715577A (en) * | 2015-04-07 | 2015-06-17 | 北京师范大学 | Earthquake landslide hazard monitoring device |
| CN104821067A (en) * | 2015-05-19 | 2015-08-05 | 何小明 | Landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission and early warning method thereof |
| CN104952211A (en) * | 2014-03-31 | 2015-09-30 | 中铁西北科学研究院有限公司深圳南方分院 | Debris flow disaster warning method and wireless early warning system thereof |
| CN106781289A (en) * | 2016-12-24 | 2017-05-31 | 中铁十八局集团有限公司 | Blow out monitoring device of the construction to the motion of massif talus in a kind of tunnel |
| CN108344448A (en) * | 2018-02-11 | 2018-07-31 | 江苏中路工程检测有限公司 | A kind of automatic monitor system of slope stability |
| CN109348189A (en) * | 2018-12-04 | 2019-02-15 | 肖鑫茹 | A kind of long-range geological disaster monitoring system based on Internet of Things |
| CN112270818A (en) * | 2020-10-26 | 2021-01-26 | 北京千尧新能源科技开发有限公司 | Sea area monitoring and early warning method and system for offshore wind farm |
| CN112509284A (en) * | 2020-10-29 | 2021-03-16 | 石家庄铁道大学 | Geological disaster monitoring and early warning method and device and terminal equipment |
-
2012
- 2012-07-20 CN CN 201220358291 patent/CN202694521U/en not_active Expired - Fee Related
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104952211A (en) * | 2014-03-31 | 2015-09-30 | 中铁西北科学研究院有限公司深圳南方分院 | Debris flow disaster warning method and wireless early warning system thereof |
| CN104581089A (en) * | 2015-02-08 | 2015-04-29 | 张朝利 | Quantitative landslide change monitoring system and landslide change predicting method |
| CN104655191A (en) * | 2015-02-09 | 2015-05-27 | 中国地质大学（武汉） | Multi-parameter and three-dimensional monitoring method and monitoring probe for reservoir bank of water-level-fluctuating zone |
| CN104715577A (en) * | 2015-04-07 | 2015-06-17 | 北京师范大学 | Earthquake landslide hazard monitoring device |
| CN104715577B (en) * | 2015-04-07 | 2017-01-18 | 北京师范大学 | Earthquake landslide hazard monitoring device |
| CN104821067A (en) * | 2015-05-19 | 2015-08-05 | 何小明 | Landslide disaster early warning system based on unmanned aerial vehicle relay WIFI or radio data transmission and early warning method thereof |
| CN106781289A (en) * | 2016-12-24 | 2017-05-31 | 中铁十八局集团有限公司 | Blow out monitoring device of the construction to the motion of massif talus in a kind of tunnel |
| CN108344448A (en) * | 2018-02-11 | 2018-07-31 | 江苏中路工程检测有限公司 | A kind of automatic monitor system of slope stability |
| CN109348189A (en) * | 2018-12-04 | 2019-02-15 | 肖鑫茹 | A kind of long-range geological disaster monitoring system based on Internet of Things |
| CN112270818A (en) * | 2020-10-26 | 2021-01-26 | 北京千尧新能源科技开发有限公司 | Sea area monitoring and early warning method and system for offshore wind farm |
| CN112509284A (en) * | 2020-10-29 | 2021-03-16 | 石家庄铁道大学 | Geological disaster monitoring and early warning method and device and terminal equipment |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130123 Termination date: 20140720 |
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| EXPY | Termination of patent right or utility model |