CN104239959A - Geographical disaster prediction system - Google Patents
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Abstract
The invention discloses a geographical disaster prediction system. The system comprises a sensor module, a transmission module, a monitoring module, a calculation module and a display module. The sensor module is used for acquiring geological environment data in real time; the transmission module is used for transmitting the acquired geological environment data to the monitoring module through a network; the monitoring module is used for receiving the geological environment data output by the transmission module, converting the format of the geological environment data into a format capable of being recognized by the calculation module and outputting the geological environment data to the calculation module; the calculation module is used for calculating the geological environment data, obtaining the geological environment result and outputting the geological environment result to the display module; the display module is used for outputting the geological environment result and outputting a two-dimensional result diagram and a three-dimensional result diagram representing the geological environment based on the geological environment result.
Description
Technical field
The present invention relates to a kind of geological hazards prediction system.
Background technology
That geologic hazard refers to burst geologic media being produced due to geologic function (natural, artificial or comprehensive) or progressive destruction, and cause phenomenon or the event of human life's property loss.The geologic hazards such as rubble flow, landslide, earth subsidence in recent years take place frequently, and bring huge loss to the life of people and property.How to tackle various geologic hazard, the diaster prevention and control improving the whole society reduces casualty loss, is the urgent task that we face.Existing geological hazards prediction system has plenty of by the relevant resource information of satnav collection and feeds back to each base station, after each base station completes information, take aviation image as base map, in conjunction with field operation on-site inspection, the Aerial Images of the study area of contrast different time shooting, carries out analyzing and processing to information.Also have plenty of the GPS loading onto a system-specific at landslide easy happen zone, once there is unusual fluctuation in soil, situation can be worn the system of delivering to by GPS.Above system can only study on monitoring district geologic hazard situation about having occurred, and can not accomplish look-ahead.
Summary of the invention
For the problems referred to above, the invention provides a kind of can dope accurately geologic hazard occur time range, geographic range geological hazards prediction system.
For achieving the above object, geological hazards prediction system of the present invention, described system comprises sensor assembly, transport module, monitoring module, computing module, display module, wherein
Described sensor assembly, for Real-time Obtaining geologic media data;
Described transport module, for will obtain described geologic media data by Internet Transmission to monitoring module;
Described monitoring module, for receiving the described geologic media data of described monitoring module output and described environmental data being converted to the formatted output of described computing module identification to described computing module;
Described computing module, for calculating described environmental data, and draws geologic media result, and described geologic media result is exported to described display module;
Described display module, for described geologic media result being exported, and exports the two-dimensional result figure, the three-dimensional result figure that characterize geologic media based on described geologic media result.
Further, described sensor assembly comprises displacement transducer, Slope Transducer, rainfall amount sensor, soil temperature-moisture sensor, river surface height of water level sensor.
Further, described transport module adopts the mode of GPRS to be sent to Surveillance center by unified gateway device, and the sensor of described sensor assembly is wireless senser, and the networking plan of described radio sensing network is the MANET scheme of Zigbee protocol.
Further, described computing module comprises to be set up geometric model unit, model layers unit, boundary demarcation unit, entity setting up unit, stress and strain model unit, input parameter unit, mathematical model selection unit, solves computing unit, model tuning unit, Parameter Sensitivity Analysis unit, result output unit, wherein
Describedly set up geometric model unit, for setting up corresponding geometric model based on described study area hydrogeological condition, topography and geomorphology;
Described model layers unit, for receiving the described geometric model set up geometric model unit and export, and carries out layering to described geometric model;
Described boundary demarcation unit, for arranging described geometric model border based on study area actual landform landforms, geological condition;
Described entity setting up unit, for representing whether a region has river, rainfall amount, evaporation, arranges the source sink term of described geometric model;
Described stress and strain model unit, for carrying out stress and strain model to described geometric model;
Described input parameter unit, for accepting the described environmental data that described monitoring modular obtains, is sent to described input parameter unit by described environmental data;
Described mathematical model selection unit, for based on the geologic hazard type that will solve, selects mathematical model cell type;
Describedly solve computation model unit, for the described mathematical model unit selected based on described mathematical model selection unit, solve computing unit described in selection and mathematical model is calculated;
Described model tuning unit, for analog result being compared with measured result, carries out parameter adjustment, and analog result is coincide with measured result in predetermined error range;
Described Parameter Sensitivity Analysis unit, for based on the spatial and temporal distributions of parameter value, the impact of boundary condition uncertainty, determines the influence degree of uncertainty to the model after correction;
Described result output unit, shows for result being exported to described display unit.Geological hazards prediction performance benefits effect of the present invention is: the transfer efficiency that can improve radio sensing network, reduces energy consumption; Can add at any time and remove node, automatic network-building between node, maintenance cost be little, is easy to engineering construction; Software can set up complex model, adopts FEM meshing, and result of calculation is accurate, the time range, the geographic range that are occurred by the geologic hazard of result of calculation energy look-ahead, and provides and prevent and treat solution, alleviates the life and property loss that geologic hazard brings.
Accompanying drawing explanation
Fig. 1 is geological hazards prediction system structural framework figure of the present invention.
Embodiment
Below in conjunction with Figure of description, the present invention will be further described.
Geological hazards prediction system of the present invention is a kind of dynamic image data, realize transmitting in the wireless network, the mode of GPRS is adopted to be sent to Surveillance center by unified gateway device, by GDS(Geological Diagnose Simulator, English abbreviation GDS) software calculate and prediction, inspection center monitors the system of the geologic hazard such as rubble flow, landslide, earth subsidence that may exist in real time.
Geological hazards prediction system of the present invention, the environmental data obtained with sensor, is transmitted in the wireless network by node, adopts the mode of GPRS to be sent to Surveillance center by unified gateway device.Wherein, the networking plan of radio sensing network is the MANET scheme of Zigbee protocol.The product that the program uses and technology relative maturity.Zigbee wireless sensor network, transmission range 80 ~ 100 meters, can add at any time and remove node, automatic network-building between node, maintenance cost be little, is easy to engineering construction.GDS software can set up the model of complex boundary simultaneously, and pre-treatment adopts FEM meshing, and core algorithm is short for working time, predicts the outcome accurately, and result can be shown as two dimension, three-dimensional picture, accurately the distribution situation providing parameter of image.
As shown in Figure 1, module 1 obtains environmental data by various sensor, what this sensor power equipment adopted is accumulator, in conjunction with wind-solar hybrid generator, it is charged, avoid and repeatedly change battery and carry out the problem of the supplementary energy, this sensor network protocol adopts Zigbee protocol, and this agreement adapts to the requirements such as the low cost of sensor, low-yield, high fault tolerance, Zigbee protocol data transmission credibility is high, and security is high.
Module 1 obtains data by 5 kinds of sensors, is displacement transducer, Slope Transducer, rainfall amount sensor, soil humidity sensor, river surface height of water level sensor respectively.
Displacement sensor measurement range scope 200mm, resolution 0.01mm, working temperature-20-80 DEG C, degree of protection IP68.At least join 4 displacement transducers in each model, form a dimond detection scope, ensure to measure reliably simultaneously, the undesired signal of environment local vibrations etc. can be filtered.
Slope Transducer measures X/Y both direction tilt variation simultaneously, thus by the vergence direction that can be calculated this point and angle of inclination, take measurement of an angle scope ± 30 °, and resolution is 0.01 °, and operating temperature range-20 DEG C is to 80 DEG C.
Rain gage sensor measurement scope 4mm/min, rainfall intensity 0.1-7mm/min, resolution 0.2mm, working temperature 0 ~ 80 DEG C, be double-skip sensor, reliability is higher.
Soil humidity sensor is by measuring the specific inductive capacity of soil, thus obtain volumetric water content of soil, handy and safe, quick and precisely, fixed point continuously, robotization, wide-range, to demarcate less, range is 0-100%, measuring accuracy+3%, error <1%, operating voltage 5-12V, response time <1s, operating temperature range-30-70 DEG C.
River surface height of water level sensor be one full automatic, battery-powered, the device for non-volatile recording water level and temperature information that stainless steel manufactures, in order to ensure long-term diving operation, electronic section and battery are all installed in the stainless-steel tube of a sealing, if therefrom will read data, liminmeter must take out from water.Range is 50m, resolution 0.0025%F.S, and measuring tempeature scope is-10-40 DEG C, measures interval and is more than or equal to 1S, for battery 3.6V.
Prior art mainly completes study area by airborne photography systems such as GPRS, unmanned plane, satellite positioning techs and to take photo by plane task, obtains aviation image, gathers study area geography information.The information that the method is collected exist triangular web in specific region because of satellites in view number deficiency or geometric figure poor and cause the not high present situation even cannot located of positioning precision.
What module 1 sensor power equipment adopted is accumulator, charges to it in conjunction with wind-solar hybrid generator.Electric power system has higher stability and reliability, and maintenance management is convenient, is environmentally friendly electric power system.The node of radio sensing network directly adopts Zigbee protocol to carry out data transmission.Zigbee network has energy-conservation, to be easy to increase and decrease at any time node advantage, can facilitate engineering construction simultaneously.
Module 2 transmits environmental data by GPRS network, and native system adopts GPRS gateway transmission data, and the data that node sends, GPRS gateway can be transferred to control center by GPRS network automatically.The computer of control center, by a Socket control program listens port, is stored on computer after receiving data, and provides function library to call to GDS software systems by .dll file.
The data such as displacement, the gradient, rainfall amount, humiture, water level that module 3 Surveillance center receiving sensor gathers are as GDS software input parameter.
Module 4GDS software computational prediction, by the data input GDS software in above-mentioned module 2, by calculating the two dimension such as displacement, water level, three-dimensional distribution map.
Module 4 software kernel program adopts brand-new finite element algorithm, finite element method ability of solving a problem is strong, can the curve of the various complexity of more accurate simulation or surface boundary, stress and strain model is more random, can unify to process multiple boundary condition, the formal Specification of discrete equation, be convenient to work out general computer program, in the numerical evaluation of solid mechanics equation, obtain huge success, be in first place in the world in porous medium numerical simulation software field.
The 2D/3D Presentation Function of module 4 enriches, and can show two-dimentional broken line graph, three-dimensional isogram, polar plot and surface chart; Be applicable to equidistantly and the drafting of the isoline of Unequal distance, user can select various line style and color to represent isoline, select isoline font to mark rank value, and figure can free convergent-divergent and rotation; Attribute data layer distributed, different colours represents different numerical value, visual check, from different dimension observed data, thus can carry out more deep observation and analysis to data.Compatible good, friendly interface, simple to operate, automatically to generate or User Defined has the interval of color isoline, linear with isoline scope; Perfect coordinate axis setting options, comprise the mark of coordinate axis, mark spacing, mesh lines and title.
Module 5 Surveillance center real-time estimate display environment situation, is calculated by GDS, will predict the outcome and be shown to monitoring center viewing area, and provides the time range of control geologic hazard generation, geographic range etc.
Further, described computing module comprises to be set up geometric model unit, model layers unit, boundary demarcation unit, entity setting up unit, stress and strain model unit, input parameter unit, mathematical model selection unit, solves computing unit, model tuning unit, Parameter Sensitivity Analysis unit, result output unit, wherein
Describedly set up geometric model unit, for setting up corresponding geometric model based on described study area hydrogeological condition, topography and geomorphology;
Described model layers unit, for receiving the described geometric model set up geometric model unit and export, and carries out layering to described geometric model;
Described boundary demarcation unit, for arranging described geometric model border based on study area actual landform landforms, geological condition;
Described entity setting up unit, for representing whether a certain region has river, rainfall amount, evaporation, arranges the source sink term of described geometric model;
Described stress and strain model unit, for carrying out stress and strain model to described geometric model;
Described input parameter unit, for accepting the described environmental data that described monitoring modular obtains, is sent to described input parameter unit by described environmental data;
Described mathematical model selection unit, for based on the geologic hazard type that will solve, selects mathematical model cell type;
Describedly solve computation model unit, for the described mathematical model unit selected based on described mathematical model selection unit, solve computing unit described in selection and mathematical model is calculated;
Described model tuning unit, for analog result being compared with measured result, carries out parameter adjustment, and analog result is coincide with measured result in predetermined error range;
Described Parameter Sensitivity Analysis unit, for based on the spatial and temporal distributions of parameter value, the impact of boundary condition uncertainty, determines the influence degree of uncertainty to the model after correction;
Described result output unit, shows for result being exported to described display unit.
Geological hazards prediction system of the present invention, this system hardware have employed current state-of-the-art technology of Internet of things, each detection node, the environmental parameter that oneself obtains can be sent to mobile network port flexibly, according to actual needs simultaneously, easily extensible detection node quantity at any time, the node of new expansion can communicate with surrounding check point automatically, automatically joins in surveyed area wireless network.For adapting to field actual environment, prognoses system hardware has the outdoor requirement of shelter such as corresponding water proof wind proof.Meanwhile, prognoses system hardware has taken into full account what the energy saving requirement of outdoor equipment designed, constructs and later maintenance to facilitate Practical Project.This system software can carry out multiple analysis to a model and all analysis data are all kept in a data file, is conducive to like this keeping the contact between different analysis.When result of calculation is depicted as figure, user can determine several variable to be placed in same figure to check and predict the outcome.
Above; be only preferred embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, the protection domain that protection scope of the present invention should define with claim is as the criterion.
Claims (4)
1. a geological hazards prediction system, is characterized in that: described system comprises sensor assembly, transport module, monitoring module, computing module, display module, wherein
Described sensor assembly, for Real-time Obtaining geologic media data;
Described transport module, for will obtain described geologic media data by Internet Transmission to monitoring module;
Described monitoring module, for receiving the described geologic media data of described monitoring module output and described environmental data being converted to the formatted output of described computing module identification to described computing module;
Described computing module, for calculating described environmental data, and draws geologic media result, and described geologic media result is exported to described display module;
Described display module, for described geologic media result being exported, and exports the two-dimensional result figure, the three-dimensional result figure that characterize geologic media based on described geologic media result.
2. geological hazards prediction system according to claim 1, is characterized in that: described sensor assembly comprises displacement transducer, Slope Transducer, rainfall amount sensor, soil temperature-moisture sensor, river surface height of water level sensor.
3. address according to claim 1 disaster prediction system, it is characterized in that: described transport module adopts the mode of GPRS to be sent to Surveillance center by unified gateway device, the sensor of described sensor assembly is wireless senser, and the networking plan of described radio sensing network is the MANET scheme of Zigbee protocol.
4. geological hazards prediction system according to claim 1, it is characterized in that: described computing module comprises to be set up geometric model unit, model layers unit, boundary demarcation unit, entity setting up unit, stress and strain model unit, input parameter unit, mathematical model selection unit, solve computing unit, model tuning unit, Parameter Sensitivity Analysis unit, result output unit, wherein
Describedly set up geometric model unit, for setting up corresponding geometric model based on described study area hydrogeological condition, topography and geomorphology;
Described model layers unit, for receiving the described geometric model set up geometric model unit and export, and carries out layering to described geometric model;
Described boundary demarcation unit, for arranging described geometric model border based on study area actual landform landforms, geological condition;
Described entity setting up unit, for representing whether a region has river, rainfall amount, evaporation, arranges the source sink term of described geometric model;
Described stress and strain model unit, for carrying out stress and strain model to described geometric model;
Described input parameter unit, for accepting the described environmental data that described monitoring modular obtains, is sent to described input parameter unit by described environmental data;
Described mathematical model selection unit, for based on the geologic hazard type that will solve, selects mathematical model cell type;
Describedly solve computation model unit, for the described mathematical model unit selected based on described mathematical model selection unit, solve computing unit described in selection and mathematical model is calculated;
Described model tuning unit, for analog result being compared with measured result, carries out parameter adjustment, and analog result is coincide with measured result in predetermined error range;
Described Parameter Sensitivity Analysis unit, for based on the spatial and temporal distributions of parameter value, the impact of boundary condition uncertainty, determines the influence degree of uncertainty to the model after correction;
Described result output unit, shows for result being exported to described display unit.
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| CN105046454A (en) * | 2015-09-01 | 2015-11-11 | 东北农业大学 | River basin water-based environment management decision support system |
| CN105096532A (en) * | 2015-07-30 | 2015-11-25 | 西安石油大学 | Geological disaster predication system |
| CN105675234A (en) * | 2016-01-01 | 2016-06-15 | 河南省锅炉压力容器安全检测研究院漯河分院 | Pressure vessel leakage detection system |
| CN105738587A (en) * | 2016-01-12 | 2016-07-06 | 山东科技大学 | Water quality monitoring system |
| CN105806317A (en) * | 2016-02-28 | 2016-07-27 | 西北大学 | Cave detection system |
| CN106205061A (en) * | 2016-08-31 | 2016-12-07 | 西安科技大学 | A kind of geological hazards prediction system |
| CN106872123A (en) * | 2017-02-06 | 2017-06-20 | 河南省锅炉压力容器安全检测研究院 | A kind of pressure vessel leak detection system |
| CN107563455A (en) * | 2017-10-18 | 2018-01-09 | 百度在线网络技术（北京）有限公司 | For obtaining the method and device of information |
| CN110099089A (en) * | 2018-01-31 | 2019-08-06 | Sap欧洲公司 | The self-tuing on line of multiple data flows in sensor network |
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| CN105096532A (en) * | 2015-07-30 | 2015-11-25 | 西安石油大学 | Geological disaster predication system |
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