CN107705515A - A kind of geological disaster monitoring system based on big data - Google Patents
A kind of geological disaster monitoring system based on big data Download PDFInfo
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- CN107705515A CN107705515A CN201711239015.3A CN201711239015A CN107705515A CN 107705515 A CN107705515 A CN 107705515A CN 201711239015 A CN201711239015 A CN 201711239015A CN 107705515 A CN107705515 A CN 107705515A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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Abstract
The invention discloses a kind of geological disaster monitoring system based on big data, including mobile terminal, back-stage management end, server end, at least one Geological Hazards Monitoring area local side, at least one microprocessing unit and the monitoring device for being arranged on each Geological Hazards Monitoring area, server end includes application server and database server, monitoring device, microprocessing unit, local side, application server and database server communicate to connect successively, back-stage management end is connected with the application server communication, and mobile terminal is connected with the application server communication；Monitoring device includes Seismic monitoring equipment, mountain landslide supervision equipment, mud-rock flow monitoring device, Ground Subsidence Monitoring equipment and volcanic eruption monitoring device.
Description
Technical field
The present invention relates to geological hazards prediction technical field, more particularly to a kind of Geological Hazards Monitoring system based on big data
System.
Background technology
Geological disaster mainly by nature or thinks that geologic process causes, and catastrophic destruction is caused to geological environment, and it leads
To include earthquake, landslide, mud-rock flow, surface subsidence, volcanic eruption and ground fractures etc..In recent years, worldwide,
Geological disaster is in frequently-occurring situation, also has aggravation situation in China's geological disaster phenomenon, and the manpower financial capacity's loss brought is very
It is heavy.The great geology such as 5.12 Wenchuan County in Sichuan violent earthquakes, the especially big mud-rock flow in 8.8 Gansu Zhouqu County and 6.5 Chongqing WuLong landslides
Disaster Event leaves the painful memory that can not be erased to people, and huge wound is also caused to Chinese national economy.
However, existing Geological Hazards Monitoring also has regional personal monitoring, then monitoring result is recorded and delivered to
Level carries out statistical management, and this traditional monitoring method not only wastes time and energy, and can not realize the seamless monitoring of 24 hours, prison
It is poor to survey result reliability, and problems be present in some existing geological disaster monitoring systems：Each monitoring section sets a pipe
Reason center, monitoring efficiency is low and cost is high；Monitoring to geology disaster data is not comprehensive enough complete, monitoring result poor accuracy,
Precision is undesirable, reliability is poor；Do not alarm measure monitoring section, it is impossible to monitor geological disaster may come it is interim timely
The people of monitored area is alarmed, avoids casualties.
It is an object of the invention to solve the deficiency of existing geological disaster monitoring system, there is provided a kind of ground based on big data
Matter disaster monitoring system, overcome traditional Geological Hazards Monitoring to use personal monitoring, not only waste time and energy but also can not realize that 24 is small
When seamless monitoring, monitoring result poor reliability；Overcome that existing geological disaster monitoring system monitoring efficiency is low and cost is high, over the ground
The shortcomings of monitoring of matter disaster data not comprehensive enough complete, monitoring result poor accuracy, poor reliability.
The content of the invention
In order to solve the above problems, the present invention proposes a kind of geological disaster monitoring system based on big data.
A kind of specifically, geological disaster monitoring system based on big data, it is characterised in that：It include mobile terminal, after
Platform management end, server end, at least one Geological Hazards Monitoring area local side, at least one microprocessing unit and it is arranged on each
The monitoring device in Geological Hazards Monitoring area, the server end include application server and database server, monitoring device, micro-
Processing unit, local side, application server and database server communicate to connect successively, the back-stage management end and the application
Server communication is connected, and the mobile terminal is connected with the application server communication；
Monitoring device includes Seismic monitoring equipment, mountain landslide supervision equipment, mud-rock flow monitoring device, Ground Subsidence Monitoring equipment
With volcanic eruption monitoring device；
Monitoring device is used to obtain every geologic data and sends the data got to corresponding microprocessing unit；
Microprocessing unit is used for the data for receiving monitoring device transmission, and the data received are sent to right after A/D is changed
Answer local side；
Local side is used to check, store the data received, and to data progress preliminary treatment, by the data after processing send to
The application server；
The back-stage management end is for monitoring, inquiring about, analyzing, management and monitoring data；
The application server is used to receive, analyze, handles the Monitoring Data received, and the Monitoring Data after processing is sent
To the database server；
The database server is used to store Monitoring Data and receives inquiry, deletion, modification that the application server is sent
Instruction；
The mobile terminal is used for the real-time geological state and historical data for inquiring about each monitoring area.
Further, the Seismic monitoring equipment is front-end camera, water-temperature water-level sensor, vibrating sensor, earthquake
Any one or more of wave sensor, obliquity sensor and displacement transducer；
The mountain landslide supervision equipment is front-end camera, photoelectric sensor, vibrating string joint meter, pressure sensor, impact
Any one or more of acceleration transducer and vibrating sensor；
The mud-rock flow monitoring device is front-end camera, Water Test Kits, water-temperature water-level sensor, rain sensor, humidity
Any one or more of sensor, jerk acceleration transducer, displacement transducer and geologic sensor；
The Ground Subsidence Monitoring equipment is that front-end camera, settlement sensor, settlement monitor, geologic sensor and displacement pass
Any one or more of sensor；
The volcanic eruption monitoring device is front-end camera, pressure sensor, density sensor, vibrating sensor, dust biography
Any one or more of sensor, temperature sensor and humidity sensor.
Further, Geological Hazards Monitoring area local side is also associated with display and alarm.
Further, microprocessing unit is also associated with external alarm, when Monitoring Data exceedes predetermined threshold value, microprocessor
The external alarm equipment alarm prompting of unit triggers.
Further, the application server is additionally operable to comprehensive analysis items Historical Monitoring data, and according to historical data
The alarm threshold value of every Monitoring Data is adjusted, continues to optimize monitoring system.
Further, each microprocessing unit includes gps locating modules.
Further, the mobile terminal is connected by 3G/4G/WIFI networks with the application server.
The beneficial effects of the present invention are：Without personal monitoring, seamless monitoring in 24 hours can be achieved；Monitoring efficiency is high, right
The monitoring of geological disaster data is comprehensively, complete, the monitoring result degree of accuracy is high, good reliability；It can be learnt by historical data, optimized
Every monitoring index, to reach optimal monitoring effect；Monitored area is provided with alarm, and people's alarm in monitored area can be carried
Show, avoid casualties；The historic geology situation of each monitored area, recent geological state can be understood by mobile terminal, is people
Offer of going on a journey it is convenient.
Brief description of the drawings
Fig. 1 is a kind of geological disaster monitoring system schematic diagram based on big data of the present invention.
Embodiment
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now control illustrates this hair
Bright embodiment.
A kind of as shown in figure 1, geological disaster monitoring system based on big data, it is characterised in that：It include mobile terminal,
Back-stage management end, server end, at least one Geological Hazards Monitoring area local side, at least one microprocessing unit and it is arranged on every
The monitoring device in individual Geological Hazards Monitoring area, the server end include application server and database server, monitoring device,
Microprocessing unit, local side, application server and database server are communicated to connect successively, and the back-stage management end is answered with described
Connected with server communication, the mobile terminal is connected with the application server communication；
Monitoring device includes Seismic monitoring equipment, mountain landslide supervision equipment, mud-rock flow monitoring device, Ground Subsidence Monitoring equipment
With volcanic eruption monitoring device；
Monitoring device is used to obtain every geologic data and sends the data got to corresponding microprocessing unit；
Microprocessing unit is used for the data for receiving monitoring device transmission, and the data received are sent to right after A/D is changed
Answer local side；
Local side is used to check, store the data received, and to data progress preliminary treatment, by the data after processing send to
The application server；
The back-stage management end is for monitoring, inquiring about, analyzing, management and monitoring data；
The application server is used to receive, analyze, handles the Monitoring Data received, and the Monitoring Data after processing is sent
To the database server；
The database server is used to store Monitoring Data and receives inquiry, deletion, modification that the application server is sent
Instruction；
The mobile terminal is used for the real-time geological state for inquiring about each monitoring area and historical data, user can be by inquiring about mesh
Mark the geological disaster historical data in area and Recent data obtains the geological state of objective area, it is convenient to be provided for user's trip.
Further, the Seismic monitoring equipment is front-end camera, water-temperature water-level sensor, vibrating sensor, earthquake
Any one or more of wave sensor, obliquity sensor and displacement transducer；
The mountain landslide supervision equipment is front-end camera, photoelectric sensor, vibrating string joint meter, pressure sensor, impact
Any one or more of acceleration transducer and vibrating sensor；
The mud-rock flow monitoring device is front-end camera, Water Test Kits, water-temperature water-level sensor, rain sensor, humidity
Any one or more of sensor, jerk acceleration transducer, displacement transducer and geologic sensor；
The Ground Subsidence Monitoring equipment is that front-end camera, settlement sensor, settlement monitor, geologic sensor and displacement pass
Any one or more of sensor；
The volcanic eruption monitoring device is front-end camera, pressure sensor, density sensor, vibrating sensor, dust biography
Any one or more of sensor, temperature sensor and humidity sensor.
Further, Geological Hazards Monitoring area local side is also associated with display and alarm, when Monitoring Data exceedes in advance
If during threshold value, alarm equipment alarm, local management personnel can check that data exception region and which item data are abnormal by display, make
Go out corresponding reaction.
Further, microprocessing unit is also associated with external alarm, when Monitoring Data exceedes predetermined threshold value, microprocessor
The external alarm equipment alarm prompting of unit triggers, can be effectively improved when the people that geological disaster comes in interim monitored area can not be pre- in time
Know, make the situation of precaution measures in advance, avoid, mitigate casualties.
Further, the application server is additionally operable to comprehensive analysis items Historical Monitoring data, and according to historical data
The alarm threshold value of every Monitoring Data is adjusted, continues to optimize monitoring system, by default learning model, system of the invention can
The threshold value that every monitoring index is continued to optimize by the historical data of acquisition combines, so that the system is optimal prediction accurately
Rate, while reduce and survey by mistake.
Further, each microprocessing unit includes gps locating modules.
Further, the mobile terminal is connected by 3G/4G/WIFI networks with the application server.
In the present embodiment, several microprocessing units are provided with according to the monitored area of division under each local side, each
The corresponding microprocessing unit in monitored area, each microprocessing unit are connected with each monitoring sensing dress in the monitored area
Put, all microprocessing units connect with corresponding local side, form MAPI Local Supervision Network's network, all MAPI Local Supervision Network's network compositions
The monitoring system of the present invention, realize the comprehensive, Geological Hazards Monitoring of system, early warning.
It should be noted that for foregoing each embodiment of the method, in order to be briefly described, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should know, the application is not limited by described sequence of movement, because
For according to the application, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should
Know, embodiment described in this description belongs to preferred embodiment, involved action and unit not necessarily this Shen
Please be necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in some embodiment
Part, may refer to the associated description of other embodiment.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (7)
- A kind of 1. geological disaster monitoring system based on big data, it is characterised in that：It include mobile terminal, back-stage management end, Server end, at least one Geological Hazards Monitoring area local side, at least one microprocessing unit and it is arranged on each geological disaster The monitoring device of monitoring section, the server end include application server and database server, monitoring device, microprocessor list Member, local side, application server and database server communicate to connect successively, the back-stage management end and the application server Communication connection, the mobile terminal are connected with the application server communication；Monitoring device includes Seismic monitoring equipment, mountain landslide supervision equipment, mud-rock flow monitoring device, Ground Subsidence Monitoring equipment With volcanic eruption monitoring device；Monitoring device is used to obtain every geologic data and sends the data got to corresponding microprocessing unit；Microprocessing unit is used for the data for receiving monitoring device transmission, and the data received are sent to right after A/D is changed Answer local side；Local side is used to check, store the data received, and to data progress preliminary treatment, by the data after processing send to The application server；The back-stage management end is for monitoring, inquiring about, analyzing, management and monitoring data；The application server is used to receive, analyze, handles the Monitoring Data received, and the Monitoring Data after processing is sent To the database server；The database server is used to store Monitoring Data and receives inquiry, deletion, modification that the application server is sent Instruction；The mobile terminal is used for the real-time geological state and historical data for inquiring about each monitoring area.
- A kind of 2. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：The earthquake Monitoring device is front-end camera, water-temperature water-level sensor, vibrating sensor, seismic wave sensors, obliquity sensor and displacement Any one or more of sensor；The mountain landslide supervision equipment is front-end camera, photoelectric sensor, vibrating string joint meter, pressure sensor, impact Any one or more of acceleration transducer and vibrating sensor；The mud-rock flow monitoring device is front-end camera, Water Test Kits, water-temperature water-level sensor, rain sensor, humidity Any one or more of sensor, jerk acceleration transducer, displacement transducer and geologic sensor；The Ground Subsidence Monitoring equipment is that front-end camera, settlement sensor, settlement monitor, geologic sensor and displacement pass Any one or more of sensor；The volcanic eruption monitoring device is front-end camera, pressure sensor, density sensor, vibrating sensor, dust biography Any one or more of sensor, temperature sensor and humidity sensor.
- A kind of 3. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：Geological disaster Monitoring section local side is also associated with display and alarm.
- A kind of 4. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：Microprocessor list Member is also associated with external alarm, and when Monitoring Data exceedes predetermined threshold value, microprocessing unit triggers external alarm equipment alarm and carried Show.
- A kind of 5. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：The application Server is additionally operable to comprehensive analysis items Historical Monitoring data, and the warning level of every Monitoring Data is adjusted according to historical data Value, continues to optimize monitoring system.
- A kind of 6. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：Each micro- place Reason unit includes gps locating modules.
- A kind of 7. geological disaster monitoring system based on big data according to claim 1, it is characterised in that：The movement Terminal is connected by 3G/4G/WIFI networks with the application server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711239015.3A CN107705515A (en) | 2017-11-30 | 2017-11-30 | A kind of geological disaster monitoring system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711239015.3A CN107705515A (en) | 2017-11-30 | 2017-11-30 | A kind of geological disaster monitoring system based on big data |
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| CN107705515A true CN107705515A (en) | 2018-02-16 |
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| CN201711239015.3A Withdrawn CN107705515A (en) | 2017-11-30 | 2017-11-30 | A kind of geological disaster monitoring system based on big data |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108492532A (en) * | 2018-03-26 | 2018-09-04 | 中科院广州电子技术有限公司 | A kind of early warning system and its method for early warning of landslide geological disaster |
| CN108871428A (en) * | 2018-05-09 | 2018-11-23 | 南京思达捷信息科技有限公司 | A kind of geology monitor supervision platform and its method based on big data |
| CN108881385A (en) * | 2018-05-09 | 2018-11-23 | 南京思达捷信息科技有限公司 | Detection device and its method under a kind of big data |
| CN108896099A (en) * | 2018-05-09 | 2018-11-27 | 南京思达捷信息科技有限公司 | A kind of detection big data platform and its method for earth's crust disaster |
| CN108922141A (en) * | 2018-05-09 | 2018-11-30 | 南京思达捷信息科技有限公司 | A kind of big data under hazardous condition monitors system and method |
| CN108922122A (en) * | 2018-07-18 | 2018-11-30 | 湖北思高科技发展有限公司 | A kind of geological disaster monitoring system and its monitoring method |
| CN108959637A (en) * | 2018-07-26 | 2018-12-07 | 中佳勘察设计有限公司 | A kind of geology big data platform for urban planning and construction |
| CN109118719A (en) * | 2018-09-04 | 2019-01-01 | 福建奇点时空数字科技有限公司 | A kind of geological disaster monitoring system based on big data |
| CN109357790A (en) * | 2018-11-02 | 2019-02-19 | 武汉地震科学仪器研究院有限公司 | Temperature measurement instrument based on monitoring of earthquake precursors |
| CN109637088A (en) * | 2018-12-29 | 2019-04-16 | 宁波中数云创信息技术有限公司 | A kind of real time early warning method based on big concurrent incremental data |
| CN110095585A (en) * | 2019-04-01 | 2019-08-06 | 同济大学 | Road surface collapses intelligent monitor system |
| CN110362020A (en) * | 2019-08-28 | 2019-10-22 | 四川省东宇信息技术有限责任公司 | Intelligent three-dimensional posture and vibration monitor and its monitoring method |
| 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 |
| CN113589357A (en) * | 2021-07-30 | 2021-11-02 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and device for monitoring underground strong vibration of deep coverage layer of dam |
| CN114399888A (en) * | 2022-01-04 | 2022-04-26 | 四川爱联科技股份有限公司 | Mountain disaster early warning system |
-
2017
- 2017-11-30 CN CN201711239015.3A patent/CN107705515A/en not_active Withdrawn
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108492532B (en) * | 2018-03-26 | 2023-08-22 | 中科院广州电子技术有限公司 | Mountain landslide geological disaster early warning system and early warning method thereof |
| CN108492532A (en) * | 2018-03-26 | 2018-09-04 | 中科院广州电子技术有限公司 | A kind of early warning system and its method for early warning of landslide geological disaster |
| CN108871428A (en) * | 2018-05-09 | 2018-11-23 | 南京思达捷信息科技有限公司 | A kind of geology monitor supervision platform and its method based on big data |
| CN108881385A (en) * | 2018-05-09 | 2018-11-23 | 南京思达捷信息科技有限公司 | Detection device and its method under a kind of big data |
| CN108896099A (en) * | 2018-05-09 | 2018-11-27 | 南京思达捷信息科技有限公司 | A kind of detection big data platform and its method for earth's crust disaster |
| CN108922141A (en) * | 2018-05-09 | 2018-11-30 | 南京思达捷信息科技有限公司 | A kind of big data under hazardous condition monitors system and method |
| CN108922122A (en) * | 2018-07-18 | 2018-11-30 | 湖北思高科技发展有限公司 | A kind of geological disaster monitoring system and its monitoring method |
| CN108959637A (en) * | 2018-07-26 | 2018-12-07 | 中佳勘察设计有限公司 | A kind of geology big data platform for urban planning and construction |
| CN109118719A (en) * | 2018-09-04 | 2019-01-01 | 福建奇点时空数字科技有限公司 | A kind of geological disaster monitoring system based on big data |
| CN109357790A (en) * | 2018-11-02 | 2019-02-19 | 武汉地震科学仪器研究院有限公司 | Temperature measurement instrument based on monitoring of earthquake precursors |
| CN109637088A (en) * | 2018-12-29 | 2019-04-16 | 宁波中数云创信息技术有限公司 | A kind of real time early warning method based on big concurrent incremental data |
| CN110095585A (en) * | 2019-04-01 | 2019-08-06 | 同济大学 | Road surface collapses intelligent monitor system |
| CN110362020A (en) * | 2019-08-28 | 2019-10-22 | 四川省东宇信息技术有限责任公司 | Intelligent three-dimensional posture and vibration monitor and its monitoring method |
| 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 |
| CN113589357A (en) * | 2021-07-30 | 2021-11-02 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and device for monitoring underground strong vibration of deep coverage layer of dam |
| CN114399888A (en) * | 2022-01-04 | 2022-04-26 | 四川爱联科技股份有限公司 | Mountain disaster early warning system |
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Application publication date: 20180216 |