CN205428142U - Aqueous vapor pressure sensor monitoring and early warning forecast system - Google Patents

Aqueous vapor pressure sensor monitoring and early warning forecast system Download PDF

Info

Publication number
CN205428142U
CN205428142U CN201520524377.7U CN201520524377U CN205428142U CN 205428142 U CN205428142 U CN 205428142U CN 201520524377 U CN201520524377 U CN 201520524377U CN 205428142 U CN205428142 U CN 205428142U
Authority
CN
China
Prior art keywords
monitoring
data
monitoring station
warning
real time
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
Application number
CN201520524377.7U
Other languages
Chinese (zh)
Inventor
余成华
徐俊
张桂香
肖兵
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.)
Shenzhen Investigation and Research Institute Co ltd
Original Assignee
Shenzhen Investigation and Research Institute Co ltd
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 Shenzhen Investigation and Research Institute Co ltd filed Critical Shenzhen Investigation and Research Institute Co ltd
Priority to CN201520524377.7U priority Critical patent/CN205428142U/en
Application granted granted Critical
Publication of CN205428142U publication Critical patent/CN205428142U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The utility model relates to an aqueous vapor pressure sensor monitoring and early warning forecast system, including a plurality of monitoring station, distributed on a plurality of monitoring points by in the monitoring area, utilize the sensing technology to carry out real -time supervision to the aqueous vapor pressure of karst pipeline crack system, the monitoring and forewarning central computer is used for receiving the real -time data information that sent the monitoring station, the institute of computing technology gets the critical head pressure value of each monitoring station, establishs the real time information database to the value combines the physics ground collapse's that obtains among the model test the critical head pressure data of subsiding, and carry out the early warning forecast when appearing crossing the border in the critical head pressure value that calculates the monitoring station, remote data connects the bridge, and its information transfer who monitors the monitoring station is to the monitoring and forewarning central computer in. The utility model discloses a drilling installation aqueous vapor pressure sensor on a plurality of monitoring points by in the detection area, the number of pass carries out real -time supervision according to automatic acquisition wireless sensing to aqueous vapor pressure to set up head pressure value information database in the monitoring and forewarning central computer, the generating data tendency chart carries out comparison, monitoring and early warning that the realization is subsided to the karst through the critical value with ground collapse.

Description

Vapour pressure force transducer monitoring and warning forecast system
[technical field]
This utility model relates to a kind of monitoring system, specifically a kind of Geological Hazards Monitoring early warning system and monitoring and pre-alarming method.
[background technology]
Karst ground subsidence is the geological hazards that the whole world is widely distributed, at present, both at home and abroad in terms of Disasters of Karst Pitfall research, mainly focuses on following aspects: the prospecting technique of (1) karst collapse developmental condition;(2) process, mechanism and the critical condition research that karst collapse is grown;(3) karst collapse basic database is built;(4) karst collapse danger forecasting and risk assessment;(5) dissolved rock cave in forecasting early warning.
Karst collapse grow due to by the inhomogeneities of karsts developing area and the cyclic effects of karst water effect, grow increasingly complex, spatially have disguise, growth course has progressivity, subsiding has sudden feature, make monitoring face problems, be the most all difficult to forecast that monitoring is subsided by ground routine monitoring means.
In order to accomplish the prediction and warning of karst collapse as possible, level of ground water in monitored area, pore water pressure and overlying soil deformation are carried out high density, in high precision real time monitoring by this utility model, by contrasting with lab simulation critical condition, carry out karst collapse Study on forecasting model, and propose preventive measure.
[utility model content]
The technical problems to be solved in the utility model is to overcome drawbacks described above, it is provided that the early-warning and predicting system of a kind of aqueous vapor pressure sensor monitoring, so that solve to exist in prior art can not the problem of accurate early warning karst collapse.
A kind of vapour pressure force transducer monitoring and warning forecast system, it includes:
Several monitoring stations, on the multiple monitoring points being distributed in area to be monitored, it utilizes sensing technology to monitor the aqueous vapor pressure of karst fissure system in real time;
Monitoring and early warning central computer, for receiving the real time data information that described monitoring station sends, calculate the critical water pressure value of each monitoring station of gained, set up real time information data storehouse, and combine physics and subside the critical water pressure data of the surface collapse obtained in model test, and carry out early-warning and predicting when more dividing value occurs in the critical water pressure value calculating monitoring station;
Teledata cross structure, its information monitored monitoring station is sent in monitoring and early warning central computer.
Optimally, described monitoring station is fixed on the ground of any one monitoring point, area to be monitored, including above ground portion and under ground portion, under ground portion is provided with several vapour pressure force transducers, and above ground portion is provided with power supply, the data logger device being connected with vapour pressure force transducer.
Optimally, described monitoring and early warning central computer includes: communication module, for carrying out radio communication based on GPRS wireless communication protocol and computer network communication, receives the real time data information that described monitoring station sends;Data processing module, for the real time data information received carries out data process, calculates the critical water pressure value of each monitoring station of gained, and sets up information database, generate data trend figure;Geofence module, the subside critical data of the surface collapse obtained in model test of the real time data information sent the monitoring station received and physics set in advance is compared, judge that whether real time data is beyond more dividing value, geological disaster to occurring is made a prediction, and is simultaneously emitted by geo-hazard early-warning information.
Optimally, described power supply is the combining form of solar panel and accumulator.
Optimally, described teledata cross structure includes the GPRS transmission assembly for wireless data transmission being arranged on above ground portion and the communication module being arranged on monitoring and early warning central computer.
Optimally, the accumulator of described above ground portion, data logger device and GPRS transmission assembly carry out parcel protection in being placed in guard box.
Optimally, the model of described vapor sensor is GK-4500S type osmometer.
Owing to have employed technique scheme, compared with prior art, this utility model installs vapour pressure force transducer by boring on the multiple monitoring points in area to be monitored, by automatic data acquisition system and wireless sensor technology, the aqueous vapor pressure of karst fissure system is monitored in real time, based on monitoring materials, head pressure value information data base is set up in monitoring and early warning central computer, generate data trend figure, and by comparing with the subside marginal value of the surface collapse obtained in model test of physics, realize the monitoring to karst collapse and early warning.
[accompanying drawing explanation]
Fig. 1 is the connection diagram of this this utility model system;
Fig. 2 is the connection diagram of each assembly in monitoring station in this this utility model.
[detailed description of the invention]
This utility model is a kind of vapour pressure force transducer monitoring and warning forecast system, as it is shown in figure 1, it includes:
Several monitoring stations 1, on the multiple monitoring points being distributed in area to be monitored, it utilizes sensing technology to monitor the aqueous vapor pressure of karst fissure system in real time;
Monitoring and early warning central computer 10, for receiving the real time data information that described monitoring station 1 sends, calculate the critical water pressure value of each monitoring station of gained 1, set up real time information data storehouse, and combine physics and subside the critical water pressure data of the surface collapse obtained in model test, and carry out early-warning and predicting when more dividing value occurs in the critical water pressure value calculating monitoring station 1;
Described monitoring and early warning central computer 10 includes: communication module 2, for carrying out radio communication based on GPRS wireless communication protocol and computer network communication, receives the real time data information that described monitoring station 1 sends;Data processing module 3, for the real time data information received carries out data process, calculates the critical water pressure value of each monitoring station of gained 1, and sets up information database, generate data trend figure;Geofence module 4, the subside critical data of the surface collapse obtained in model test of the real time data information sent the monitoring station 1 received and physics set in advance is compared, judge that whether real time data is beyond more dividing value, geological disaster to occurring is made a prediction, and is simultaneously emitted by geo-hazard early-warning information.
Teledata cross structure, the information that monitoring station 1 is monitored is sent in monitoring and early warning central computer 10 by it.
In embodiment of the present utility model, as shown in Figure 2, described monitoring station 1 is fixed on the ground of any one monitoring point, area to be monitored, include above ground portion and under ground portion, under ground portion is provided with several vapour pressure force transducers 9, and above ground portion is provided with power supply, the data logger device 6 being connected with vapour pressure force transducer 9.Described power supply is the combining form of solar panel 5 and accumulator 8.The accumulator 8 of described above ground portion, data logger device 6 and GPRS transmission assembly 7 carry out parcel protection in being placed in guard box.The model of described vapor sensor 9 is GK-4500S type osmometer.
Described teledata cross structure includes the GPRS transmission assembly 7 for wireless data transmission being arranged on above ground portion and the communication module 2 being arranged on monitoring and early warning central computer 10.
This utility model installs vapour pressure force transducer 9 by boring on the multiple monitoring points in area to be monitored, by automatic data acquisition system and wireless sensor technology, the aqueous vapor pressure of karst fissure system is monitored in real time, based on monitoring materials, head pressure value information data base is set up in monitoring and early warning central computer 10, generate data trend figure, and by comparing with the subside marginal value of the surface collapse obtained in model test of physics, it is achieved monitoring and the early warning to karst collapse.
Below in conjunction with this vapour pressure force transducer monitoring and warning forecast system, specifically illustrate the monitoring method of this early-warning and predicting system,
A, in detected region, choose multiple monitoring point, set up monitoring station 1, each monitoring point is monitored in real time, monitor and transmitted data by GPRS transmission assembly 7 to monitoring and early warning central computer 10 for being spaced with 1 time/24 hours;
B, utilizing the Real-time Monitoring Data that monitoring station 1 transmits, described monitoring and early warning central computer 10 resolves the head pressure value drawing monitoring by modeling, and sets up information database, generates data trend figure;
The critical data of the surface collapse obtained in c, model test of real-time head pressure Value Data and physics set in advance being subsided is compared, judge that whether real time data is beyond more dividing value, geological disaster to occurring is made a prediction, and is simultaneously emitted by geo-hazard early-warning information.
In this utility model, the measuring method whether karst collapse occurs is as follows:
By karst collapse on space-time with critical soil cave as boundary, be divided into Inter-collapse phase and surface subsidence stage, set up seepage tensor for two different phases and cause the mechanical model that collapses.
(1) to Inter-collapse phase, Pu Shi natural balance arch theory is utilized to set up the maximum height expression formula of critical soil cave:
h max = 0.828 · D 2 f k .
Wherein, the span (m) of D pressure arch
The solid coefficient of the fk soil body
The thickness (m) of the h cap rock soil body
Hmax critical soil cave height (m)
The applicable elements of this formula is: h >=2hmax, i.e. karst cave body need to reach certain buried depth and could form stable soil arch, as buried depth is shallower, is directly entered the surface subsidence stage.
(2) to earth's surface Subsidence Stages, limit of utilization balance theory sets up seepage tensor collapse mechanical model, obtains the mechanical model expression formula of following earth's surface Subsidence Stages:
Wherein: the natural density (kN/m3) of γ 0 rainfall infiltration protecgulum layer soil body
γ w rainfall severe (=9.8kN/m3)
K0 soil body lateral pressure coefficient
H0 earth's surface water level (m)
V0 percolation flow velocity (m/s)
D soil body mean diameter (mm)
Negative pressure of vacuum (kPa) in △ P karst cave body
This formula presses the least favorable condition consideration that karst occurs, it is assumed that following condition:
1. heavy showers causes cap rock water level abruptly increase, and Karst water table is quickly passed with solution cavity, underground river,
Forming Trend of Groundwater Descent Funnel, water level is down to below basement rock top board, and in the hole body that subsides, vapour pressure is 0;
2. Collapse Pit is tubbiness, and slump body diameter is identical with Cave diameter D.
As K < 1, generation of subsiding;As K=1, the body that subsides is in state of limit equilibrium;As K > 1, stable.
(2) determination of critical water pressure Pcr
Solution cavity cave height is disclosed owing to being only capable of boring in monitoring section, its diameter D is difficult to actual measurement, for obtaining this parameter, 7 karst collapses recorded on the one hand can using for reference district, select monitoring point adjacent to subsiding cave diameter as this point critical collapsed diameter (generally 3~7m) nearby;On the other hand, because current monitoring point not yet occurs surface subsidence, i.e. show that hole body is in stable~state of limit equilibrium, the cave height that can disclose according to boringInverse goes out Cave diameter D, is revised in combination with having sent out the cave diameter that subsides in district.
Above example is only in order to illustrate the technical solution of the utility model, it is not intended to limit, although executing example with reference to previous examples this utility model has been described in detail, it will be understood by those within the art that, it is according to can modifying the technical scheme that foregoing embodiments is recorded, or its portion of techniques feature is carried out equivalent, and these are revised or replace, and do not make the essence of appropriate technical solution depart from the spirit and scope of technical solutions of the utility model.

Claims (7)

1. a vapour pressure force transducer monitoring and warning forecast system, it is characterised in that it includes
Several monitoring stations, on the multiple monitoring points being distributed in area to be monitored, it utilizes sensing technology to monitor the aqueous vapor pressure of karst fissure system in real time;
Monitoring and early warning central computer, for receiving the real time data information that described monitoring station sends, calculate the critical water pressure value of each monitoring station of gained, set up real time information data storehouse, and combine physics and subside the critical water pressure data of the surface collapse obtained in model test, and carry out early-warning and predicting when more dividing value occurs in the critical water pressure value calculating monitoring station;
Teledata cross structure, its information monitored monitoring station is sent in monitoring and early warning central computer.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 1, it is characterized in that, described monitoring station is fixed on the ground of any one monitoring point, area to be monitored, include above ground portion and under ground portion, under ground portion is provided with several vapour pressure force transducers, and above ground portion is provided with power supply, the data logger device being connected with vapour pressure force transducer.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 1, it is characterised in that described monitoring and early warning central computer includes:
Communication module, for carrying out radio communication based on GPRS wireless communication protocol and computer network communication, receives the real time data information that described monitoring station sends;
Data processing module, for the real time data information received carries out data process, calculates the critical water pressure value of each monitoring station of gained, and sets up information database, generate data trend figure;
Geofence module, the subside critical data of the surface collapse obtained in model test of the real time data information sent the monitoring station received and physics set in advance is compared, judge that whether real time data is beyond more dividing value, geological disaster to occurring is made a prediction, and is simultaneously emitted by geo-hazard early-warning information.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 2, it is characterised in that described power supply is the combining form of solar panel and accumulator.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 3, it is characterized in that, described teledata cross structure includes the GPRS transmission assembly for wireless data transmission being arranged on above ground portion and the communication module being arranged on monitoring and early warning central computer.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 5, it is characterised in that the accumulator of described above ground portion, data logger device and GPRS transmission assembly carry out parcel protection in being placed in guard box.
A kind of vapour pressure force transducer monitoring and warning forecast system the most according to claim 2, it is characterised in that the model of described vapor sensor is GK-4500S type osmometer.
CN201520524377.7U 2015-07-18 2015-07-18 Aqueous vapor pressure sensor monitoring and early warning forecast system Active CN205428142U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201520524377.7U CN205428142U (en) 2015-07-18 2015-07-18 Aqueous vapor pressure sensor monitoring and early warning forecast system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201520524377.7U CN205428142U (en) 2015-07-18 2015-07-18 Aqueous vapor pressure sensor monitoring and early warning forecast system

Publications (1)

Publication Number Publication Date
CN205428142U true CN205428142U (en) 2016-08-03

Family

ID=56518305

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201520524377.7U Active CN205428142U (en) 2015-07-18 2015-07-18 Aqueous vapor pressure sensor monitoring and early warning forecast system

Country Status (1)

Country Link
CN (1) CN205428142U (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104992533A (en) * 2015-07-18 2015-10-21 深圳市勘察研究院有限公司 Water-gas pressure sensor monitoring warning and forecasting system
CN108877155A (en) * 2018-08-23 2018-11-23 山东合强智能测控设备有限公司 A kind of method for early warning for realizing dykes and dams disaster using the principle of equal effects
CN112946778A (en) * 2021-01-29 2021-06-11 中国地质科学院岩溶地质研究所 Method for early warning karst collapse based on underground water turbidity monitoring
CN115060329A (en) * 2022-08-16 2022-09-16 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) Karst collapse informatization prediction system based on digital twin algorithm

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104992533A (en) * 2015-07-18 2015-10-21 深圳市勘察研究院有限公司 Water-gas pressure sensor monitoring warning and forecasting system
CN108877155A (en) * 2018-08-23 2018-11-23 山东合强智能测控设备有限公司 A kind of method for early warning for realizing dykes and dams disaster using the principle of equal effects
CN112946778A (en) * 2021-01-29 2021-06-11 中国地质科学院岩溶地质研究所 Method for early warning karst collapse based on underground water turbidity monitoring
CN112946778B (en) * 2021-01-29 2022-05-03 中国地质科学院岩溶地质研究所 Method for early warning karst collapse based on underground water turbidity monitoring
CN115060329A (en) * 2022-08-16 2022-09-16 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) Karst collapse informatization prediction system based on digital twin algorithm

Similar Documents

Publication Publication Date Title
Xu et al. Successful implementations of a real-time and intelligent early warning system for loess landslides on the Heifangtai terrace, China
CN205428142U (en) Aqueous vapor pressure sensor monitoring and early warning forecast system
CN102943459B (en) Remote smart monitoring and three-dimensional early warning method and system for deformation stability of deep foundation pit
KR100947025B1 (en) System for measuring layer settlement of soft ground
CN111105600B (en) Cutting slope stability dynamic monitoring and early warning system and method based on rainfall condition
CN101477207A (en) Intelligent geological calamity synthetic monitoring system and multi-stage prediction analysis method
CN204177381U (en) A kind of fiber bragg grating inclinometer device
CN104992533A (en) Water-gas pressure sensor monitoring warning and forecasting system
CN110671153A (en) Monitoring and early warning system for water inrush disaster of tunnel and underground engineering
CN106033637A (en) Cable-free independent long-term working landslide hazard landslide hazard monitoring early warning method and system
CN103744128A (en) Comprehensive forecasting method for underground cavity rockburst intensity grade
CN104834012A (en) Electromagnetic radiation monitoring early warning method of mine roof water inrush
CN107270863A (en) It is a kind of to assess early warning system and the method for early warning that vertical deep foundation pit deformation influences on embankment
CN111815471A (en) Coal mine resource mining area geological disaster monitoring and early warning management system based on big data
CN103061322B (en) Deep foundation ditch stability remote intelligent monitoring 3-dimensional digital comprehensive pre-warning method and system
CN202969361U (en) Remote intelligent monitoring and three-dimensional pre-warning system for deformation stability of deep foundation pit
CN205177100U (en) It forms mud -rock flow and faces calamity early warning system to remain damming dam body under torrential rain
CN103046525A (en) Facility and method for mechanical stability remote intelligent monitoring and three-dimensional early warning of deep foundation pit
CN103046526A (en) Method and system for remote intelligent monitoring and three-dimensional digital early warning of deep foundation pit bottom surface upheavals
CN106251053A (en) The suitability assessment method of high voltage power transmission transmission tower is built on earth's surface, a kind of sinking land in coalmining areas
CN106407569B (en) Surface subsidence value calculating method under the conditions of a kind of Moderate and Thick Unconsolidated Formation thin bedrock
CN105589104A (en) Method for determining influence of fracture structure on rock burst
CN112309088A (en) Device for monitoring and early warning karst collapse by utilizing soil cave gas and working method
CN106781289A (en) Blow out monitoring device of the construction to the motion of massif talus in a kind of tunnel
CN208172969U (en) A kind of high slope surface deformation monitoring and warning system

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant