CN114743429A - Training method for monitoring weather artificially influencing geophysical environment - Google Patents
Training method for monitoring weather artificially influencing geophysical environment Download PDFInfo
- Publication number
- CN114743429A CN114743429A CN202210664180.8A CN202210664180A CN114743429A CN 114743429 A CN114743429 A CN 114743429A CN 202210664180 A CN202210664180 A CN 202210664180A CN 114743429 A CN114743429 A CN 114743429A
- Authority
- CN
- China
- Prior art keywords
- main body
- training method
- module
- training
- control module
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Educational Technology (AREA)
- Medical Informatics (AREA)
- Educational Administration (AREA)
- Computer Hardware Design (AREA)
- Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
Abstract
The invention discloses a training method for monitoring artificial influence weather on a geophysical environment, which comprises the following steps: s1, constructing a training place; s2, constructing an instrument; s3, recording a training process; and S4, experimental results. The training method adopts titanium alloy to construct the closed chamber, can repeatedly carry out training experiments, enables the internal environment of the titanium alloy constructed closed chamber to be consistent with preset atmospheric environment parameters through the change of temperature, pressure, humidity and acidity in the experiment main body, simulates low temperature and negative pressure and other environmental meteorology in high altitude, obtains preset conditions influencing weather through means of changing the parameters and the gradient of corresponding parameters, and can conveniently remove harmful substances in the experiment main body due to the arranged purifying equipment, thereby not only reducing the pollution to the external environment, but also prolonging the service life of the experiment main body and ensuring the accuracy of the obtained result.
Description
Technical Field
The invention relates to a method for identifying artificial influence weather in geophysical environment monitoring, in particular to a method for training artificial influence weather.
Background
The geophysical research content can be generally divided into two main categories, application and theoretical geophysical. The research range of the application of the geophysical method (also called exploration geophysical method) is wide, and the research range mainly comprises energy exploration, metal and nonmetal exploration, environment and engineering exploration and the like. Exploration geophysics utilizes a method developed by geophysics to carry out mineral finding, oil finding, engineering and environment monitoring, structural research and the like, and the method comprises seismic exploration, electrical exploration, gravity exploration, magnetic exploration, geophysical well logging, radioactive exploration and the like.
The environmental monitoring relates to artificial weather, wherein the artificial weather refers to the fact that weather phenomena are converted towards the direction preset by people by artificial means, the artificial weather management regulations stipulate that the artificial weather refers to the fact that weather disasters are avoided or relieved, weather resources are reasonably utilized, physical processes of local atmosphere are artificially influenced by scientific and technological means under proper conditions, and the purposes of rain and snow increasing, hail prevention, rain and fog elimination, frost prevention and the like are achieved.
At present, experiments based on artificial weather influence basically comprise two methods, one is outdoor small-range experiments, waste generated in the experiment process is directly discharged into the atmospheric environment without being treated, the atmospheric environment is affected in different degrees, and accurate parameters influencing the weather are difficult to capture due to insufficient experiment precision; the other is a small-scale indoor experiment, and a common laboratory cannot meet the conditions of temperature, pressure or humidity and the like required by various meteorology experiments, and is easy to cause irreversible damage to the indoor environment.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a training method for monitoring the weather artificially influenced by the geophysical environment, and solves the problems in the prior art.
The invention is realized by the following technical scheme, and provides a training method for monitoring artificial influence weather on a geophysical environment, which comprises the following steps:
s1, constructing a training place, wherein the construction comprises the following steps:
an aerospace material is selected to construct an experiment main body with a closed chamber, a control module and a sensor module are respectively arranged inside and outside the experiment main body, and the control module and the sensor module are connected by optical fibers;
s2, constructing an instrument, wherein the specific process comprises the following steps:
the control module comprises a pressure control module, a temperature control module, a humidity control module and a vacuum module;
the sensor module comprises a pressure sensor, a humidity sensor and a temperature sensor;
s3, recording a training process, wherein the specific process comprises the following steps:
the internal environment of the experiment main body is changed by controlling the feeding assembly through the pressure control module, the temperature control module, the humidity control module and the vacuum module, and meanwhile, the acquired internal data of the experiment main body is converted into an electric signal by the sensor module and is transmitted to a computer through an optical fiber by the communication module and recorded;
s4, recording an experimental result, wherein the specific process comprises the following steps:
repeating the step S3 while changing one of the pressure, temperature and humidity inside the experimental body, and comparing with the preset parameters affecting the weather, to construct a three-dimensional mathematical model with the recorded data.
Furthermore, the experiment main body is constructed by titanium alloy materials and is provided with a heat insulation layer.
Further, the experiment main body in the step S2 is connected to a purification module for purifying the inside of the experiment main body; the purification module is controlled by a control module.
Further, in step S3, the internal pictures of the experimental subject at each meteorological stage in the training process are captured and uploaded to a computer through a communication module.
Further, in step S4, refining the experimental parameters affecting the weather, and obtaining the critical points affecting the weather parameters.
Further, the experiment main body is connected with a feeding assembly; the supply assembly comprises a liquid supply member, a gas supply member and a heat supply assembly. The training method for monitoring the weather artificially influenced by the geophysical environment, provided by the invention, has the following beneficial effects: the training method applied to the artificial weather influence adopts a method of constructing the closed chamber, the closed chamber constructed by the titanium alloy can be repeatedly utilized to carry out training experiments, the experiment cost is low, and the preset atmospheric environment is simulated by changing the parameters such as temperature, pressure and humidity in the experiment main body.
The experiment main body of the closed chamber provided by the invention can realize different changes of different parameters of pressure, temperature, humidity and pH value to obtain preset low temperature, pressure, humidity and/or pH value, thereby improving the training precision and reducing the experiment cost.
The experiment main body is connected with the purification module, and the purification equipment is used for purifying the interior of the experiment main body after training is finished, so that the accuracy of the obtained training result is ensured, the service life of the experiment main body is prolonged, the environmental pollution is reduced, and the environmental protection concept is enhanced.
Detailed Description
The invention provides a training method for monitoring weather artificially influenced by geophysical environment, which comprises the following steps:
s1, constructing a training place;
s2, constructing an apparatus;
s3, recording a training process;
and S4, experimental results.
A training method for monitoring weather artificially influenced by geophysical environment comprises the following specific steps:
s1 construction of training site
Choose for use aerospace material titanium alloy to construct the airtight chamber experiment main part that has the heat preservation for this experiment main part can bear high temperature, high pressure and corrosion-resistant meteorological environment, and the inner wall of experiment main part is the smooth surface, and is equipped with sensor module and the feed subassembly of compriseing liquid feed spare, gaseous feed spare and heat supply subassembly. The sensor module comprises a temperature sensor, a humidity sensor, an air pressure sensor, a pH sensor and the like.
S2 construction of instruments
Pressure control module, temperature control module, humidity control module and vacuum module are connected with pressure sensor, temperature sensor, humidity transducer respectively, are connected with corresponding gaseous feeding spare, liquid feeding spare and heat supply spare respectively to the realization carries out predetermined environmental simulation training in the experiment main part.
Realize the experiment main part and still be connected with purification module for purify the inside harmful substance of experiment main part behind the simulation meteorological phenomena, a purifying agent for purifying includes solid-state, gaseous state or a liquid class of purifying agent, sensor module is connected with communication module through optic fibre through the export of experiment main part. The experiment main part is preferably assembled and is provided with a heat-insulating layer, so that the experiment main part is convenient to prepare, install, use, maintain and clean.
S3, recording the training process
The temperature, pressure, humidity, pH value or acidity change of the internal environment of the main body is realized by utilizing the control experiment of the pressure control module, the temperature control module, the humidity control module, the vacuum module and the pH control module, so that various parameters consistent with the preset atmospheric environment, such as drought weather, rain and snow weather and fog weather, are further obtained, the sensor module in the experiment main body converts the acquired temperature, pressure, humidity and pH value data of the internal environment of the experiment main body into electric signals, and the electric signals are transmitted to a computer by a communication module through optical fibers for recording, storing and processing;
s4, Experimental results
The term "refining" is used for experimental parameters affecting weather, that is, in order to obtain reliable environmental parameters with good matching degree with preset parameters, one or two parameters of pressure, temperature, humidity and acidity can be selected in the experiment, the gradient of the parameters can be changed, for example, the gradient is increased or decreased, the training experiment is repeated, the parameters affecting weather are recorded and compared with the corresponding preset parameter values, the three-dimensional mathematical model is recorded, the experimental parameters affecting weather are refined again, and the critical points affecting weather parameters are recorded and changed while the training experiment precision is improved.
In summary, a training method for monitoring weather modification in geophysical environment comprises the following specific steps:
s1, construction of a training place: choose for use aerospace material to construct the experiment main part of airtight chamber, the construction material of experiment main part constitutes for titanium alloy for the experiment main part can bear high temperature, high pressure and corrosion-resistant meteorological environment, and the inside of experiment main part adopts the smooth surface and is equipped with sensor module. The sensor assembly comprises a temperature sensor, a humidity sensor, an air pressure sensor, a pH sensor and an image acquisition module, and the construction experiment main body is provided with an inlet and an outlet for connecting wires, such as optical fibers, of each assembly in the sensor module; the outlet and the inlet are both sealed ports.
S2, constructing an apparatus: one end of the optical fiber is respectively connected with a pressure sensor, a temperature sensor, a humidity sensor, a vacuum (degree) module, a pH acidity and an experiment main body in the experiment main body in a sealing way through inlets, the experiment main body is also connected with a purification module and used for removing harmful substances inside the experiment main body after weather simulation, the purifying agent comprises a solid state, a gas state or a liquid state, the sensor module is connected inside the experiment main body, and the equipment is additionally provided with a communication module and is connected into the optical fiber; the other end of the optical fiber is connected with a feeding assembly, and the feeding assembly comprises a liquid feeding piece, a gas feeding piece and a heat supply assembly. The liquid feed such as a pump; the gas supply member such as a gas pump; the heat supply components are such as electric heating elements and refrigerating elements which can realize cold environment in winter.
S3, recording the training process: the parameters of the pressure control module, the temperature control module, the humidity control module and the vacuum module are used for changing the internal environment of the experiment main body, so that the parameters of the internal environment such as temperature, pressure, humidity and the like in the experiment main body are controlled to be consistent with a preset atmospheric environment, preset drought weather, rain and snow weather, fog weather and the like are obtained, the sensor module works to convert the acquired data into electric signals, and the electric signals are transmitted to a computer through optical fibers by the communication module for storage, recording and processing; meanwhile, images in the whole training process can be uploaded to a computer through a communication module by the arranged image acquisition part;
s4, experimental results: the method comprises the steps of carrying out multiple same meteorological experiments and changing a single parameter, recording each parameter influencing weather, comparing the parameter with a preset parameter, constructing a three-dimensional mathematical model by using recorded data, refining the experimental parameters influencing weather, improving training experiment precision and recording and changing critical points influencing the meteorological parameters.
After the experiment, will experiment the main part and carry out the pressure release, utilize simultaneously to purify the module and carry out emission after the purification treatment to the inside harmful substance of experiment main part, reduce the pollution of experiment to external environment.
Claims (6)
1. A training method for monitoring weather modification to a geophysical environment, the method comprising the steps of:
s1, constructing a training place, wherein the construction comprises the following steps:
an aerospace material is selected to construct an experiment main body with a closed chamber, a control module and a sensor module are respectively arranged inside and outside the experiment main body, and the control module and the sensor module are connected by optical fibers;
s2, constructing an instrument, wherein the specific process comprises the following steps:
the control module comprises a pressure control module, a temperature control module, a humidity control module and a vacuum module;
the sensor module comprises a pressure sensor, a humidity sensor and a temperature sensor;
s3, recording a training process, wherein the specific process comprises the following steps:
the internal environment of the experiment main body is changed by controlling the feeding assembly through the pressure control module, the temperature control module, the humidity control module and the vacuum module, and meanwhile, the acquired internal data of the experiment main body is converted into an electric signal by the sensor module and is transmitted to a computer through an optical fiber by the communication module and recorded;
s4, recording an experimental result, wherein the specific process comprises the following steps:
repeating the step S3 while changing one of the pressure, temperature and humidity inside the experimental body, and comparing with the preset parameters affecting the weather, to construct a three-dimensional mathematical model with the recorded data.
2. The training method for monitoring weather modification for geophysical environment according to claim 1, wherein the training method comprises the following steps: the experiment main body is constructed by titanium alloy materials and is provided with a heat insulation layer.
3. The training method for monitoring weather modification for geophysical environment according to claim 1, wherein the training method comprises the following steps: the experiment main body in the step S2 is connected with a purification module and is used for purifying the interior of the experiment main body; the purification module is controlled by the control module.
4. The training method for monitoring weather modification for geophysical environment according to claim 1, wherein the training method comprises the following steps: in step S3, the internal pictures of the experimental subject at each meteorological stage in the training process are taken and uploaded to a computer through a communication module.
5. The training method for monitoring weather modification for geophysical environment according to claim 1, wherein the training method comprises the following steps: in step S4, refining the experimental parameters affecting the weather, and obtaining the critical points affecting the weather parameters.
6. The training method for monitoring weather modification for geophysical environment according to claim 1, wherein the training method comprises the following steps: the experiment main body is connected with the feeding assembly; the supply assembly comprises a liquid supply member, a gas supply member and a heat supply assembly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210664180.8A CN114743429A (en) | 2022-06-14 | 2022-06-14 | Training method for monitoring weather artificially influencing geophysical environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210664180.8A CN114743429A (en) | 2022-06-14 | 2022-06-14 | Training method for monitoring weather artificially influencing geophysical environment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114743429A true CN114743429A (en) | 2022-07-12 |
Family
ID=82287041
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210664180.8A Pending CN114743429A (en) | 2022-06-14 | 2022-06-14 | Training method for monitoring weather artificially influencing geophysical environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114743429A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1147025A (en) * | 1965-04-20 | 1969-04-02 | Shaw Allan | Phytotron |
| CN2814957Y (en) * | 2005-02-06 | 2006-09-13 | 马晓光 | Ecological simulation device |
| KR20080046339A (en) * | 2006-11-22 | 2008-05-27 | 대한민국(기상청장) | Automatic ice particle image capture for weather modification test |
| CN104707671A (en) * | 2015-03-26 | 2015-06-17 | 中国科学院城市环境研究所 | Atmospheric environment simulation experiment cabin |
| US9583020B1 (en) * | 2012-11-30 | 2017-02-28 | Rockwell Collins, Inc. | Simulator system for simulating weather |
| CN106814264A (en) * | 2015-11-27 | 2017-06-09 | 中国电力科学研究院 | A kind of high-voltage test small-size multifunction amblent air temperature analogue means |
| CN108061790A (en) * | 2017-11-23 | 2018-05-22 | 兰州空间技术物理研究所 | The injection ground simulation test system and test method of martian soil photo-thermal water intaking |
| CN109429847A (en) * | 2017-12-15 | 2019-03-08 | 北京市人工影响天气办公室 | A kind of main body for weather modification experiment |
| CN109729895A (en) * | 2017-12-15 | 2019-05-10 | 北京市人工影响天气办公室 | A kind of laboratory system of weather modification |
| CN211246613U (en) * | 2019-09-27 | 2020-08-14 | 河北省人工影响天气办公室 | Cloud chamber double-tank system |
| CN112380301A (en) * | 2020-10-14 | 2021-02-19 | 贵州省人工影响天气办公室 | Weather modification service information platform |
-
2022
- 2022-06-14 CN CN202210664180.8A patent/CN114743429A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1147025A (en) * | 1965-04-20 | 1969-04-02 | Shaw Allan | Phytotron |
| CN2814957Y (en) * | 2005-02-06 | 2006-09-13 | 马晓光 | Ecological simulation device |
| KR20080046339A (en) * | 2006-11-22 | 2008-05-27 | 대한민국(기상청장) | Automatic ice particle image capture for weather modification test |
| US9583020B1 (en) * | 2012-11-30 | 2017-02-28 | Rockwell Collins, Inc. | Simulator system for simulating weather |
| CN104707671A (en) * | 2015-03-26 | 2015-06-17 | 中国科学院城市环境研究所 | Atmospheric environment simulation experiment cabin |
| CN106814264A (en) * | 2015-11-27 | 2017-06-09 | 中国电力科学研究院 | A kind of high-voltage test small-size multifunction amblent air temperature analogue means |
| CN108061790A (en) * | 2017-11-23 | 2018-05-22 | 兰州空间技术物理研究所 | The injection ground simulation test system and test method of martian soil photo-thermal water intaking |
| CN109429847A (en) * | 2017-12-15 | 2019-03-08 | 北京市人工影响天气办公室 | A kind of main body for weather modification experiment |
| CN109729895A (en) * | 2017-12-15 | 2019-05-10 | 北京市人工影响天气办公室 | A kind of laboratory system of weather modification |
| CN211246613U (en) * | 2019-09-27 | 2020-08-14 | 河北省人工影响天气办公室 | Cloud chamber double-tank system |
| CN112380301A (en) * | 2020-10-14 | 2021-02-19 | 贵州省人工影响天气办公室 | Weather modification service information platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201247239Y (en) | Environmental simulation experimental apparatus | |
| Poissant et al. | Mercury flux measurements in a naturally enriched area: Correlation with environmental conditions during the Nevada Study and Tests of the Release of Mercury From Soils (STORMS) | |
| CN106525520B (en) | Dilution multi-stage sampling device for flue gas mixing channel of fixed combustion source | |
| CN102435716A (en) | Diagenesis simulation experiment device | |
| CN111238967A (en) | Hydrate-containing sediment mechanical property detection and data processing method | |
| CN103439357A (en) | Method for testing moisture-heat transfer performance of exterior wall and dedicated climate simulation test chamber therefor | |
| CN110132701A (en) | A kind of side insert three axis soil sample sample preparation device of probe-type and method | |
| CN114743429A (en) | Training method for monitoring weather artificially influencing geophysical environment | |
| CN201859109U (en) | Environmental test device with alternate salt mist change | |
| CN206515321U (en) | A kind of air real-time monitoring device for forest ecological environment | |
| CN106404467A (en) | Sampling device and sampling method for underground water monitoring well | |
| CN107478468A (en) | Microcell sampling instrument annex | |
| CN112798657A (en) | Underground water soluble salt environment analyzer | |
| CN100580420C (en) | Airosol hydrophilic character observation system | |
| CN113640496B (en) | Swelling-shrinking-crack measuring device in soil body dry-wet circulation | |
| CN209460111U (en) | Multifunctional coating construction environment simulation box | |
| Boulard et al. | Calibration and validation of a greenhouse climate control model | |
| CN208803069U (en) | Green tide breaks out environment simulator and system | |
| CN106096247B (en) | Determination of Aerosol Optical method of estimation based on multiple-factor model of fit | |
| Gatz | An Investigation of Pollutant Source Strength–Rainfall Relationships at St. Louis | |
| CN207649972U (en) | A kind of novel active indoor air pollutants sampler | |
| Bourke et al. | ANMRC data assimilation for the southern hemisphere | |
| Chamel | Survey of different approaches to determine the behaviour of chemicals directly applied to aerial parts of plants | |
| CN203465177U (en) | Special climate simulation test box for testing moisture-heat transmission performances of outer walls | |
| CN109085048A (en) | A kind of cohesiveless soil freezes sample making apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220712 |
|
| RJ01 | Rejection of invention patent application after publication |