CN114397661A - Group fog observation control system based on Internet of things - Google Patents
Group fog observation control system based on Internet of things Download PDFInfo
- Publication number
- CN114397661A CN114397661A CN202210075506.3A CN202210075506A CN114397661A CN 114397661 A CN114397661 A CN 114397661A CN 202210075506 A CN202210075506 A CN 202210075506A CN 114397661 A CN114397661 A CN 114397661A
- Authority
- CN
- China
- Prior art keywords
- data
- group fog
- radar
- monitoring
- observation 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 55
- 230000005855 radiation Effects 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000013480 data collection Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 8
- 238000007405 data analysis Methods 0.000 claims description 4
- 230000003137 locomotive effect Effects 0.000 claims description 4
- 238000002310 reflectometry Methods 0.000 claims description 4
- 238000001228 spectrum Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- 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
Abstract
The invention discloses a group fog observation control system based on the Internet of things, which belongs to the technical field of environmental monitoring, wherein an operating system platform is provided with a data exchange system, the data exchange system is in data connection with a data acquisition system, a data processing server, a database and a meteorological bureau multi-source database, the data acquisition system is in data connection with a fixed observation device and a mobile observation device, the fixed observation device comprises a millimeter wave radar, a microwave radiation radar and a group fog monitoring radar, the mobile observation device comprises a vehicle-mounted monitoring platform and an unmanned aerial vehicle monitoring platform, the group fog observation control system based on the Internet of things can monitor group fog data in real time through the arranged fixed observation device and the mobile observation device, the group fog observation accuracy is improved, and the real-time group fog acquisition data is exchanged and compared with the database and the meteorological bureau multi-source database, the effectiveness of the early warning information of the group fog observation data can be greatly improved.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a group fog observation control system based on the Internet of things.
Background
Meteorological observation is a discipline for studying methods and means for measuring and observing physical and chemical properties of the earth's atmosphere and atmospheric phenomena.
Meteorological observation divides from the subject of academic or vocational study, a branch that belongs to the atmosphere science, wherein including group fog observation, but current group fog observation operating system mostly gathers the arrangement to group fog data message through ground meteorological station, then report the early warning after data processing, because group fog is in real-time change, and single through ground meteorological station carry out data message's collection, its precision is relatively poor, and the polytropy of group fog and the influence in later stage do not compare through many sides data mostly, probably influence data early warning information's validity, for this reason, we have designed a group fog observation control system based on the thing networking, solve above-mentioned problem.
SUMMERY OF THE UTILITY MODEL
The invention aims to provide a group fog observation control system based on the internet of things, which can monitor group fog data in real time through a fixed observation device and a mobile observation device, improves the group fog observation accuracy, and can greatly improve the effectiveness of group fog observation data early warning information by exchanging and comparing the group fog real-time collected data with a database and a meteorological bureau multi-source database.
In order to solve the above problems, the present invention adopts the following technical solutions.
A group fog observation control system based on the Internet of things comprises an operating system platform, wherein the operating system platform is provided with a data exchange system, the data exchange system is in data connection with a data acquisition system, a data processing server, a database and a meteorological bureau multi-source database, the data acquisition system is in data connection with a fixed observation device and a mobile observation device, the fixed observation device comprises a millimeter wave radar, a microwave radiation radar and a group fog monitoring radar, the mobile observation device comprises a vehicle-mounted monitoring platform and an unmanned aerial vehicle monitoring platform, the data processing server is connected with a control monitoring system, the control monitoring system comprises a data analysis module, a data generation module and an early warning module, the early warning module is in data connection with a fixed terminal and a mobile terminal, and the group fog observation control system based on the Internet of things is characterized in that through the fixed observation device and the mobile observation device, can real-timely monitor group's fog data, improve the accurate nature of group's fog observation to carry out the exchange contrast of data through real-time data of gathering of group's fog and database and meteorological office's multi-source database, improvement group's fog observation data early warning information's that can be great validity.
Further, the group fog monitoring radar is used for collecting group fog structural constant information and wind power information on the vertical height and sending the information to the data acquisition system, the group fog structural constant information collected by the group fog monitoring radar comprises group fog thickness, moving speed, atmosphere refractive index and the like, the wind power information collected by the group fog monitoring radar comprises horizontal wind speed, vertical wind speed and the like, the group fog monitoring radar can detect the group fog and the wind power structural constant information in the vertical height above the radar, and the accuracy of system data collection and early warning is ensured.
Further, the millimeter wave radar is used for collecting meteorological echo data and sending the meteorological echo data to the data acquisition system, the meteorological echo data collected by the millimeter wave radar comprise reflectivity factors, cloud moving speed, spectrum width and the like, and the millimeter wave radar can detect the meteorological echo data nearby, so that the accuracy of system operation and early warning is ensured.
Further, the microwave radiation radar is used for collecting the profile information on the vertical height and sending the profile information to the data acquisition system, the profile information collected by the microwave radiation radar comprises air temperature, air humidity, air water content and the like, and the microwave radiation radar can detect the meteorological data on the microwave radiometer at the vertical height, so that the accuracy of system operation and early warning is ensured.
Further, data generation module and early warning module data connection have storage module, the early warning module includes wireless communication module and wired communication module, storage module passes through wire data connection with the database, and the data report and the early warning information of being convenient for to generate can be in real time preserved, have reduced the probability that data lost, make things convenient for the data in later stage to trace to the source moreover.
Further, unmanned aerial vehicle monitoring platform includes unmanned aerial vehicle, high definition digtal camera and monitoring facilities, can gather group fog structural constant information through the high altitude, has ensured the accuracy of system data acquisition and early warning.
Further, the vehicle-mounted monitoring platform comprises a locomotive, a high-definition camera and monitoring equipment, the group fog structure constant information can be collected through tracking of the ground movable platform, and accuracy of system data collection and early warning is guaranteed.
Furthermore, the fixed terminal is a desktop computer, and the mobile terminal comprises a mobile phone, a tablet computer, a notebook computer and the like, so that the timeliness of the early warning information can be ensured.
Furthermore, the database comprises a storage hard disk and a storage cloud disk, and the data protection effect can be improved through two different storage modes.
Furthermore, the data generation module comprises a report generation template, and can automatically generate a uniform data report.
Compared with the prior art, the invention has the advantages that:
(1) according to the invention, the group fog data can be monitored in real time through the fixed observation device and the mobile observation device, the group fog observation accuracy is improved, and the effectiveness of the group fog observation data early warning information can be greatly improved through the exchange and comparison of the group fog real-time collected data with the database and the meteorological bureau multi-source database.
(2) Group fog monitoring radar is used for gathering group fog structural constant information and wind force information on the vertical height, and with information transmission to data acquisition system, the group fog structural constant information that group fog monitoring radar gathered includes group fog thickness, move speed and atmosphere refracting index etc., the wind force information that group fog monitoring radar gathered includes horizontal wind speed and vertical wind speed etc., group fog monitoring radar reaches can to detect group fog and wind force structural constant information in the vertical height above the radar, the accuracy of system data acquisition and early warning has been ensured.
(3) The millimeter wave radar is used for collecting meteorological echo data and sending the meteorological echo data to the data acquisition system, the meteorological echo data collected by the millimeter wave radar comprise reflectivity factors, cloud moving speed, spectrum width and the like, and the millimeter wave radar can detect the meteorological echo data nearby, so that the accuracy of system operation and early warning is ensured.
(4) The microwave radiation radar is used for acquiring profile information on the vertical height and sending the profile information to the data acquisition system, the profile information acquired by the microwave radiation radar comprises air temperature, air humidity, air water content and the like, and the microwave radiation radar can detect meteorological data on the vertical height above the microwave radiometer, so that the accuracy of system operation and early warning is ensured.
(5) Data generation module and early warning module data connection have a storage module, and the early warning module includes wireless communication module and wired communication module, and storage module passes through wire data connection with the database, and the data report and the early warning information of being convenient for to generate can be real-timely preserved, have reduced the probability that data lost, make things convenient for the data in later stage to trace to the source moreover.
(6) The unmanned aerial vehicle monitoring platform comprises an unmanned aerial vehicle, a high-definition camera and monitoring equipment, and can acquire the structural constant information of the mist group through high altitude, so that the accuracy of system data acquisition and early warning is ensured.
(7) The vehicle-mounted monitoring platform comprises a locomotive, a high-definition camera and monitoring equipment, and can acquire group fog structure constant information by tracking through the ground movable platform, so that the accuracy of system data acquisition and early warning is ensured.
(8) The fixed terminal is a desktop computer, and the mobile terminal comprises a mobile phone, a tablet computer, a notebook computer and the like, so that the timeliness of the early warning information can be ensured.
(9) The database comprises a storage hard disk and a storage cloud disk, and the data protection effect can be improved through two different storage modes.
(10) The data generation module comprises a report generation template and can automatically generate a uniform data report.
Drawings
Fig. 1 is a block diagram of the overall structure of the present invention.
The reference numbers in the figures illustrate:
the system comprises an operating system platform, a 11 data exchange system, a 12 data acquisition system, a 13 data processing server, a 2 control monitoring system, a 21 data analysis module, a 22 data generation module, a 23 early warning module, a 24 fixed terminal, a 25 mobile terminal, a 26 storage module, a 3 database, a 31 storage hard disk, a 32 storage cloud disk, a 4 meteorological bureau multi-source database, a 5 fixed observation device, a 51 millimeter wave radar, a 52 microwave radiation radar, a 53 group fog monitoring radar, a 6 mobile observation device, a 61 vehicle-mounted monitoring platform and a 62 unmanned aerial vehicle monitoring platform.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a group fog observation control system based on the internet of things comprises an operating system platform 1, referring to fig. 1, the operating system platform 1 is provided with a data exchange system 11, the data exchange system 11 is a data exchange, which belongs to the prior art, the composition structure and the working principle of the system are well known to those skilled in the art, and detailed description is omitted here, the data exchange system 11 is in data connection with a data acquisition system 12, a data processing server 13, a database 3 and a meteorological office multi-source database 4, the database 3 is a self-contained database, so that according to the meteorological analysis result of a local physical grid, the meteorological office multi-source database 4 can provide historical fog or low cloud moving meteorological maps, the database 3 comprises a storage hard disk 31 and a storage cloud disk 32, the data protection effect can be improved through two different storage modes, the data acquisition system 12 is in data connection with a fixed observation device 5 and a mobile observation device 6, the fixed observation device 5 comprises a millimeter wave radar 51, a microwave radiation radar 52 and a group fog monitoring radar 53, the mobile observation device 6 comprises a vehicle-mounted monitoring platform 61 and an unmanned aerial vehicle monitoring platform 62, the vehicle-mounted monitoring platform 61 comprises a locomotive, a high-definition camera and monitoring equipment, group fog structure constant information can be collected through tracking of a ground movable platform, accuracy of system data collection and early warning is ensured, the unmanned aerial vehicle monitoring platform 62 comprises an unmanned aerial vehicle, a high-definition camera and monitoring equipment, group fog structure constant information can be collected through high altitude, accuracy of system data collection and early warning is ensured, the data processing server 13 belongs to and is connected with a control monitoring system 2, the control monitoring system 2 comprises a data analysis module 21, a data generation module 22 and an early warning module 23, the early warning module 23 is in data connection with a fixed terminal 24 and a mobile terminal 25, the fixed terminal 24 is a desktop computer, and the mobile terminal 25 includes a mobile phone, a tablet computer, a notebook computer, and the like, so that the timeliness of the early warning information can be ensured.
Referring to fig. 1, the group fog monitoring radar 53 is used for collecting group fog structure constant information and wind force information at a vertical height and sending the information to the data collection system 12, the group fog structure constant information collected by the group fog monitoring radar 53 includes group fog thickness, moving speed, atmosphere refractive index and the like, the wind force information collected by the group fog monitoring radar 53 includes horizontal wind speed, vertical wind speed and the like, the group fog monitoring radar 53 can detect the group fog and wind force structure constant information at the vertical height above the radar, accuracy of system data collection and early warning is ensured, the microwave radiation radar 52 is used for collecting profile information at the vertical height and sending the profile information to the data collection system 12, the profile information collected by the microwave radiation radar 52 includes air temperature, air humidity, air water content and the like, the microwave radiation radar 52 can detect the data at the vertical meteorological height above the microwave radiometer, the accuracy of system operation and early warning is ensured.
Referring to fig. 1, the millimeter wave radar 51 is used for collecting meteorological echo data and sending the meteorological echo data to the data collection system 12, the meteorological echo data collected by the millimeter wave radar 51 includes a reflectivity factor, a cloud moving speed, a spectrum width and the like, the millimeter wave radar 51 can detect the meteorological echo data nearby, accuracy of system operation and early warning is ensured, and the data generation module 22 includes a report generation template and can automatically generate a unified data report.
Referring to fig. 1, the data generating module 22 and the early warning module 23 are connected to a storage module 26, the early warning module 23 includes a wireless communication module and a wired communication module, the storage module 26 is connected to the database 3 through a wire, so that the generated data report and the early warning information can be stored in real time, the probability of data loss is reduced, and the data tracing at the later stage is facilitated.
This control system is surveyd to group fog based on thing networking is in the use, collect real-time data and send to data acquisition system 12 through fixed observation device 5 and mobile observation device 6, then exchange the contrast with the data of database 3 and meteorological office multi-source database 4 through data exchange system 11 with the real-time data of collecting, then through processing and analyzing back generation report and early warning information, send to fixed terminal 24 and mobile terminal 25 and carry out the early warning, through fixed observation device 5 and the mobile observation device 6 that set up, can be real-timely monitor group fog data, the accuracy of group fog observation has been improved, and carry out the exchange contrast of data through real-time data collection of group fog and database 3 and meteorological office multi-source database 4, the accurate validity of group fog observation data early warning information that improves that can be great.
The foregoing is only a preferred embodiment of the present invention; the scope of the invention is not limited thereto. Any person skilled in the art should be able to cover the technical scope of the present invention by equivalent or modified solutions and modifications within the technical scope of the present invention.
Claims (10)
1. The utility model provides a group's fog observation control system based on thing networking, includes operating system platform (1), its characterized in that: the operating system platform (1) is provided with a data exchange system (11), the data exchange system (11) is connected with a data acquisition system (12), a data processing server (13), a database (3) and a meteorological bureau multi-source database (4) in a data mode, the data acquisition system (12) is connected with a fixed observation device (5) and a mobile observation device (6) in a data mode, the fixed observation device (5) comprises a millimeter wave radar (51), a microwave radiation radar (52) and a group fog monitoring radar (53), the mobile observation device (6) comprises a vehicle-mounted monitoring platform (61) and an unmanned aerial vehicle monitoring platform (62), the data processing server (13) is connected with a control monitoring system (2), the control monitoring system (2) comprises a data analysis module (21), a data generation module (22) and an early warning module (23), the early warning module (23) is in data connection with a fixed terminal (24) and a mobile terminal (25).
2. The system of claim 1, wherein the system comprises: group fog monitoring radar (53) are used for gathering group fog structural constant information and wind force information on the vertical height to with information transmission to data acquisition system (12), group fog structural constant information that group fog monitoring radar (53) were gathered includes group fog thickness, speed of moving and atmosphere refracting index etc., the wind force information that group fog monitoring radar (53) were gathered includes horizontal wind speed and vertical wind speed etc..
3. The system of claim 1, wherein the system comprises: the millimeter wave radar (51) is used for collecting meteorological echo data and sending the meteorological echo data to the data acquisition system (12), and the meteorological echo data collected by the millimeter wave radar (51) comprise a reflectivity factor, cloud moving speed, spectrum width and the like.
4. The system of claim 1, wherein the system comprises: the microwave radiation radar (52) is used for collecting profile information on the vertical height and sending the profile information to the data collection system (12), and the profile information collected by the microwave radiation radar (52) comprises air temperature, air humidity, air water content and the like.
5. The system of claim 1, wherein the system comprises: data generation module (22) and early warning module (23) data connection have storage module (26), early warning module (23) include wireless communication module and wired communication module, storage module (26) pass through wire data connection with database (3).
6. The system of claim 1, wherein the system comprises: unmanned aerial vehicle monitoring platform (62) include unmanned aerial vehicle, high definition digtal camera and monitoring facilities.
7. The system of claim 1, wherein the system comprises: the vehicle-mounted monitoring platform (61) comprises a locomotive, a high-definition camera and monitoring equipment.
8. The system of claim 1, wherein the system comprises: the fixed terminal (24) is a desktop computer, and the mobile terminal (25) comprises a mobile phone, a tablet computer, a notebook computer and the like.
9. The system of claim 1, wherein the system comprises: the database (3) comprises a storage hard disk (31) and a storage cloud disk (32).
10. The system of claim 1, wherein the system comprises: the data generation module (22) comprises a report generation template.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210075506.3A CN114397661A (en) | 2022-01-22 | 2022-01-22 | Group fog observation control system based on Internet of things |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210075506.3A CN114397661A (en) | 2022-01-22 | 2022-01-22 | Group fog observation control system based on Internet of things |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114397661A true CN114397661A (en) | 2022-04-26 |
Family
ID=81232481
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210075506.3A Pending CN114397661A (en) | 2022-01-22 | 2022-01-22 | Group fog observation control system based on Internet of things |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114397661A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106526709A (en) * | 2016-09-26 | 2017-03-22 | 北京无线电测量研究所 | Multi-source equipment networking-based airport cloud and fog integrated early warning system and method |
KR20170088023A (en) * | 2016-01-22 | 2017-08-01 | 진동진 | comprehensive weather observation system by realtime remote management based on IoT |
CN109377726A (en) * | 2018-10-29 | 2019-02-22 | 江苏大学 | A kind of expressway fog based on car networking accurately warns, inducible system and method |
CN110046612A (en) * | 2019-05-05 | 2019-07-23 | 淮安信息职业技术学院 | A kind of road group mist state parameter monitoring system and its method |
CN112258853A (en) * | 2020-10-19 | 2021-01-22 | 洛阳云感科技有限公司 | Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous |
CN112698332A (en) * | 2020-12-16 | 2021-04-23 | 无锡思恩电子科技有限公司 | Group fog weather radar detection system and detection method thereof |
WO2021088146A1 (en) * | 2019-11-04 | 2021-05-14 | 苏州斯威高科信息技术有限公司 | Highway comprehensive meteorological detection device and detection method therefor |
-
2022
- 2022-01-22 CN CN202210075506.3A patent/CN114397661A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20170088023A (en) * | 2016-01-22 | 2017-08-01 | 진동진 | comprehensive weather observation system by realtime remote management based on IoT |
CN106526709A (en) * | 2016-09-26 | 2017-03-22 | 北京无线电测量研究所 | Multi-source equipment networking-based airport cloud and fog integrated early warning system and method |
CN109377726A (en) * | 2018-10-29 | 2019-02-22 | 江苏大学 | A kind of expressway fog based on car networking accurately warns, inducible system and method |
CN110046612A (en) * | 2019-05-05 | 2019-07-23 | 淮安信息职业技术学院 | A kind of road group mist state parameter monitoring system and its method |
WO2021088146A1 (en) * | 2019-11-04 | 2021-05-14 | 苏州斯威高科信息技术有限公司 | Highway comprehensive meteorological detection device and detection method therefor |
CN112258853A (en) * | 2020-10-19 | 2021-01-22 | 洛阳云感科技有限公司 | Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous |
CN112698332A (en) * | 2020-12-16 | 2021-04-23 | 无锡思恩电子科技有限公司 | Group fog weather radar detection system and detection method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108574737B (en) | Agricultural automatic monitoring system and method based on cloud technology and zynq platform | |
CN109407177B (en) | Machine learning and conventional meteorological observation-based fog identification system and application method | |
CN102254239A (en) | Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect | |
CN105334551A (en) | Power grid weather predicting and early-warning system based on numerical weather prediction model | |
CN104778517A (en) | Microclimate disaster early warning method and system based on microclimate and satellite remote sensing data | |
CN111476091A (en) | Method and system for processing tree barrier information of power transmission line channel | |
CN102638889A (en) | Indoor wireless terminal positioning method based on Bayes compression sensing | |
CN112329977A (en) | Wind power prediction system for extreme scene | |
CN113283554B (en) | Insect tracking system and method based on Beidou and RFID | |
CN110930048A (en) | Crop drought risk assessment system and method based on disaster mechanism process | |
CN108495095B (en) | Haze diffusion monitoring system based on unmanned aerial vehicle | |
CN106989778A (en) | A kind of Tailings Dam on-line monitoring system | |
CN103018793B (en) | Cloud early warning system and method of wires under extreme meteorological conditions | |
CN114397661A (en) | Group fog observation control system based on Internet of things | |
CN110187363B (en) | Wind measuring method, system, equipment and storage medium suitable for large wind power base | |
CN110441830B (en) | Small-area weather prediction method based on automatic weather station and storage medium | |
CN104361528A (en) | Computing method for icing thickness of overhead power transmission lines at different altitudes | |
CN112698347A (en) | Device, system and method for monitoring surface vegetation parameters | |
CN104142524A (en) | Multi-parameter lightning stroke area early warning method based on meteorological information | |
CN111486901A (en) | Remote real-time monitoring system for ocean water environment | |
CN115494871A (en) | Unmanned aerial vehicle inspection method, device and system for power transmission line abnormity | |
CN208860979U (en) | A kind of Design of meteorological data collection based on NB-IoT transmission mode | |
CN113127530A (en) | Dynamic atmospheric three-dimensional structure detection information group assimilation system based on railway network | |
CN201955647U (en) | Device for automatically recording annual thunderstorm dates | |
Amjad et al. | Thunderstorms Prediction Using Satellite Images |
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 |