CN207817933U - 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
- Publication number
- CN207817933U CN207817933U CN201721643399.0U CN201721643399U CN207817933U CN 207817933 U CN207817933 U CN 207817933U CN 201721643399 U CN201721643399 U CN 201721643399U CN 207817933 U CN207817933 U CN 207817933U
- Authority
- CN
- China
- Prior art keywords
- monitoring
- sensor
- data
- application server
- monitoring device
- 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.)
- Active
Links
Landscapes
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
Abstract
The utility model discloses a kind of geological disaster monitoring systems 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 in each Geological Hazards Monitoring area is set, 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 connect with the application server communication, and mobile terminal is connect 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 utility model is related to geological hazards prediction technical field more particularly to a kind of geological disaster prisons based on big data
Examining system.
Background technology
Geological disaster mainly by nature or thinks that geologic process causes, and catastrophic destruction is caused to geological environment, 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, also causes huge wound to Chinese national economy.
However, existing Geological Hazards Monitoring also has regional personal monitoring, then monitoring result is recorded send it is supreme
Grade carries out statistical management, and this traditional monitoring method is not only time-consuming and laborious, but also cannot achieve seamless monitoring in 24 hours, prison
It is poor to survey result reliability, and some existing geological disaster monitoring systems have the following problems：A pipe is arranged in each monitoring section
Reason center, monitoring efficiency are low and of high cost；It is not comprehensive enough to the monitoring of geology disaster data complete, monitoring result poor accuracy,
Precision is undesirable, reliability is poor；Monitoring section is not alarmed measure, cannot monitor geological disaster may come it is interim timely
To monitoring people's alarm in region, casualties is avoided.
Utility model aims to solve the deficiencies of existing geological disaster monitoring system, provide a kind of based on big data
Geological disaster monitoring system, overcome traditional Geological Hazards Monitoring to use personal monitoring, it is not only time-consuming and laborious but also cannot achieve
Seamless monitoring in 24 hours, monitoring result poor reliability；Overcome existing geological disaster monitoring system monitoring efficiency it is low and of high cost,
The shortcomings of not comprehensive enough to the monitoring of geology disaster data complete, monitoring result poor accuracy, poor reliability.
Utility model content
To solve the above-mentioned problems, the utility model proposes a kind of geological disaster monitoring systems based on big data.
Specifically, a kind of 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 setting are 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 connects, and the mobile terminal is connect 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；
Monitoring device is for obtaining every geologic data and the data got being sent to corresponding microprocessing unit；
Microprocessing unit is used to receive the data of monitoring device transmission, and the data received are sent after A/D is converted
To corresponding local side；
Local side carries out preliminary treatment for checking, storing the data received, and to data, and by treated, data are sent out
It send to the application server；
The back-stage management end for monitor, inquire, analyzing, management and monitoring data；
The application server is for receiving, analyzing, handle the monitoring data received, and general's treated monitoring data
It is sent to the database server；
The database server be used to store monitoring data and receive the inquiry that the application server sends, deletion,
Modification instruction；
The mobile terminal is used to inquire the real-time geological state and historical data in 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 sensor；
The mountain landslide supervision equipment be front-end camera, photoelectric sensor, vibrating string joint meter, pressure sensor,
Any one or more of jerk acceleration transducer and vibrating sensor；
The mud-rock flow monitoring device be front-end camera, Water Test Kits, water-temperature water-level sensor, rain sensor,
Any one or more of humidity sensor, jerk acceleration transducer, displacement sensor and geologic sensor；
The Ground Subsidence Monitoring equipment is front-end camera, settlement sensor, settlement monitor, geologic sensor and position
Any one or more of displacement sensor；
The volcanic eruption monitoring device is front-end camera, pressure sensor, density sensor, vibrating sensor, powder
Any one or more of dust 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 are more than predetermined threshold value, microprocessor
The external alarm equipment alarm prompt 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 the every monitoring data of adjustment, continues to optimize monitoring system.
Further, each microprocessing unit includes gps locating modules.
Further, the mobile terminal is connect by 3G/4G/WIFI networks with the application server.
The beneficial effects of the utility model are：Without personal monitoring, it can be achieved that seamless monitoring in 24 hours；Monitoring efficiency
High, comprehensive to the monitoring of geology disaster data, complete, monitoring result accuracy height, good reliability；It can be by historical data
It practises, the every monitoring index of optimization, to reach best monitoring effect；Monitoring region is provided with alarm, can be in monitoring region
People's alarm, avoids casualties；The historic geology situation in each monitoring region, recent geology shape can be understood by mobile terminal
Condition provides conveniently for people's trip.
Description of the drawings
Fig. 1 is a kind of geological disaster monitoring system schematic diagram based on big data of the utility model.
Specific implementation mode
For a clearer understanding of the technical features, objectives and effects of the utility model, existing control description of the drawings
Specific embodiment of the present utility model.
As shown in Figure 1, a kind of 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 setting are every
The monitoring device in a Geological Hazards Monitoring area, the server end include application server and database server, monitoring device,
Microprocessing unit, local side, application server and database server communicate to connect successively, and the back-stage management end is answered with described
It is connected with server communication, the mobile terminal is connect 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；
Monitoring device is for obtaining every geologic data and the data got being sent to corresponding microprocessing unit；
Microprocessing unit is used to receive the data of monitoring device transmission, and the data received are sent after A/D is converted
To corresponding local side；
Local side carries out preliminary treatment for checking, storing the data received, and to data, and by treated, data are sent out
It send to the application server；
The back-stage management end for monitor, inquire, analyzing, management and monitoring data；
The application server is for receiving, analyzing, handle the monitoring data received, and general's treated monitoring data
It is sent to the database server；
The database server be used to store monitoring data and receive the inquiry that the application server sends, deletion,
Modification instruction；
The mobile terminal is used to inquire the real-time geological state in each monitoring area and historical data, user can be by looking into
The geological state for asking the geological disaster historical data and Recent data acquisition objective area of objective area, for user trip provider
Just.
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 sensor；
The mountain landslide supervision equipment be front-end camera, photoelectric sensor, vibrating string joint meter, pressure sensor,
Any one or more of jerk acceleration transducer and vibrating sensor；
The mud-rock flow monitoring device be front-end camera, Water Test Kits, water-temperature water-level sensor, rain sensor,
Any one or more of humidity sensor, jerk acceleration transducer, displacement sensor and geologic sensor；
The Ground Subsidence Monitoring equipment is front-end camera, settlement sensor, settlement monitor, geologic sensor and position
Any one or more of displacement sensor；
The volcanic eruption monitoring device is front-end camera, pressure sensor, density sensor, vibrating sensor, powder
Any one or more of dust sensor, temperature sensor and humidity sensor.
Further, Geological Hazards Monitoring area local side is also associated with display and alarm, when monitoring data are more than pre-
If when 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 are more than predetermined threshold value, microprocessor
The external alarm equipment alarm prompt of unit triggers can be effectively improved when the people that geological disaster comes in interim monitoring section domain can not be pre- in time
The case where knowing, making precaution measures in advance avoids, mitigates 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 the every monitoring data of adjustment, continues to optimize monitoring system, by preset learning model, the utility model is
System can continue to optimize the threshold value combination of every monitoring index by the historical data of acquisition, so that this system is optimal prediction standard
True rate, while reducing and accidentally surveying.
Further, each microprocessing unit includes gps locating modules.
Further, the mobile terminal is connect by 3G/4G/WIFI networks with the application server.
In the present embodiment, several microprocessing units are provided with according to the monitoring region of division under each local side, each
It monitors region and corresponds to a microprocessing unit, each microprocessing unit is connected with the sensing dress of each monitoring in the monitoring region
It sets, all microprocessing units are connected with corresponding local side, form MAPI Local Supervision Network's network, all MAPI Local Supervision Network's network compositions
The monitoring system of the utility model realizes comprehensive, system Geological Hazards Monitoring, early warning.
It should be noted that for each embodiment of the method above-mentioned, for simple description, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should understand that, the application is not limited by the described action sequence, because
For according to the application, certain some step can be performed in other orders or 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
It please be necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, 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 realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Above disclosures are merely preferred embodiments of the utility model, with this utility model cannot be limited certainly
Interest field, therefore equivalent variations made according to the claim of the utility model still fall within the scope of the utility model.
Claims (7)
1. a kind of 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 setting are in 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 connect 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 for obtaining every geologic data and the data got being sent to corresponding microprocessing unit；
Microprocessing unit is used to receive the data of monitoring device transmission, and the data received is sent to after A/D is converted pair
Answer local side；
Local side carries out preliminary treatment for checking, storing the data received, and to data, and by treated, data are sent to
The application server；
The back-stage management end for monitor, inquire, analyzing, management and monitoring data；
The application server is for receiving, analyzing, handling the monitoring data received, and monitoring data are sent by treated
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 to inquire the real-time geological state and historical data in each monitoring area.
2. a kind of 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 sensor 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.
3. a kind of 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.
4. a kind of 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 are more than predetermined threshold value, microprocessing unit triggers external alarm equipment alarm and carries
Show.
5. a kind of 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.
6. a kind of geological disaster monitoring system based on big data according to claim 1, it is characterised in that：Each micro- place
It includes gps locating modules to manage unit.
7. a kind of geological disaster monitoring system based on big data according to claim 1, it is characterised in that：The movement
Terminal is connect by 3G/4G/WIFI networks with the application server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721643399.0U CN207817933U (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 |
|---|---|---|---|
| CN201721643399.0U CN207817933U (en) | 2017-11-30 | 2017-11-30 | A kind of geological disaster monitoring system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207817933U true CN207817933U (en) | 2018-09-04 |
Family
ID=63335054
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721643399.0U Active CN207817933U (en) | 2017-11-30 | 2017-11-30 | A kind of geological disaster monitoring system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207817933U (en) |
-
2017
- 2017-11-30 CN CN201721643399.0U patent/CN207817933U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107705515A (en) | A kind of geological disaster monitoring system based on big data | |
| CN202352024U (en) | System for monitoring geological disasters | |
| CN203204791U (en) | Multiparameter landslide and mud-rock flow monitoring early warning system | |
| CN207993206U (en) | A kind of landslide disaster Monitoring and forecasting system in real-time device | |
| CN104535104A (en) | Online power transmission tower monitoring method and system of power system | |
| CN204359481U (en) | Silo pressure sensitive system, granary storage capacity on-line monitoring and early warning system | |
| CN203350459U (en) | A quick reporting instrument for ground motion parameters | |
| CN107784796A (en) | A kind of Intelligent environment forecasting system based on zigbee | |
| CN105865683A (en) | Grain bin pressure sensing system and grain bin reserve online monitoring and early warning system | |
| CN103578229A (en) | Mine side slope deformation monitoring and early warning system and early warning method thereof | |
| CN108847000A (en) | A kind of Landslide Hazards early warning method for pushing | |
| CN112533167A (en) | Coal rock dynamic disaster wireless monitoring system and method based on 5G communication | |
| CN201673262U (en) | Real-time online monitoring system for impending earthquake and geological disaster emergency | |
| CN108320461A (en) | A kind of landslide disaster monitoring device and its monitoring method | |
| CN106908101A (en) | A kind of Health Monitoring for Civil Engineering system and method | |
| CN207458301U (en) | A kind of Intelligent environment forecasting system based on zigbee | |
| CN207601015U (en) | A kind of sound emission slope rock mass stability real time on-line monitoring system | |
| CN104462855A (en) | Underground structure monitoring data processing and analyzing method and device | |
| CN117495595B (en) | Intelligent monitoring and early warning method and system for mine geological environment | |
| CN207817933U (en) | A kind of geological disaster monitoring system based on big data | |
| CN207182625U (en) | A kind of debris flow early-warning system | |
| CN202075832U (en) | House safe monitoring early warning system | |
| CN207993207U (en) | A kind of landslide disaster monitoring device | |
| CN206818233U (en) | The monitoring device of engineering water supply system | |
| CN108922141A (en) | A kind of big data under hazardous condition monitors system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |