CN112099109A - Intelligent control system of meteorological observation station - Google Patents
Intelligent control system of meteorological observation station Download PDFInfo
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- CN112099109A CN112099109A CN202010951328.7A CN202010951328A CN112099109A CN 112099109 A CN112099109 A CN 112099109A CN 202010951328 A CN202010951328 A CN 202010951328A CN 112099109 A CN112099109 A CN 112099109A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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- 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
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- 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
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Abstract
The invention belongs to the technical field of meteorological observation, and particularly relates to an intelligent control system of a meteorological observation station, which comprises a meteorological observation station unit and a rear-end management platform; the weather observation station unit comprises an observation station, and a video acquisition module, an environment monitoring module, an alarm module, a processor module and a data transmission module which are arranged on the observation station; the rear-end management platform comprises an equipment management module, a data monitoring module, a data analysis module and an early warning management module; by utilizing the technologies of the Internet of things, artificial intelligence and the like, through interaction between the meteorological observation station unit and the rear-end management platform, the remote live-action monitoring of the environment of the observation station is realized, the intelligent identification of rainfall weather phenomena of the meteorological observation station is realized, the intelligent judgment of high influence factors of the observation station detection environment is realized, the safety condition, the operation condition and the rainfall condition of the observation station can be automatically monitored, and the stable operation and forecast service capability of the meteorological observation station are improved.
Description
Technical Field
The invention belongs to the technical field of meteorological observation, and particularly relates to an intelligent control system of a meteorological observation station.
Background
With the great promotion of the meteorological modernization construction, the observation capability of the meteorological observation station network is greatly improved, and a foundation support is provided for the development of meteorological services. The meteorological observation station network data plays an important role in all levels of local meteorological services, plays a good role in verification and reference for refined forecasting, and becomes an indispensable important means for medium-short term forecasting and local meteorological services.
Because the meteorological station equipment continuously works in the field for 24 hours and is unattended, according to the requirement of maintenance specifications, a patrol worker needs to arrive at the field regularly for overhauling and maintenance, but the problems of untimely maintenance or insufficient monitoring capability are exposed, and the stable operation of the equipment and the accuracy of observation data are influenced. For example: firstly, trees, buildings and weeds around the observation station are gradually increased, so that the detection environment is changed, the observation station equipment is corroded, and internal electronic devices are possibly influenced at any time; secondly, when someone or other animals illegally enter the observation station to steal or damage the equipment, but business personnel cannot acquire the real-time operation condition of the observation station in time. With the lapse of time and the abominable of field environment, will influence the normal observation of observation station meteorological element, lead to the whole damage of observation station equipment even, the trouble of observation station could be found to the business personnel this moment, need spend very big manpower and materials to overhaul or change equipment to the observation station, waste time and energy, increase the maintenance cost.
Disclosure of Invention
The invention aims to provide an intelligent control system of a meteorological station, which realizes real-time automatic monitoring of the meteorological station, real-time warning of faults or damage of the meteorological station and timely notification of business personnel, and realizes intelligent management of the meteorological station.
In order to achieve the purpose, the invention adopts the following technical scheme: an intelligent control system of a meteorological station comprises a meteorological station unit and a rear-end management platform;
the weather observation station unit comprises an observation station, and a video acquisition module, an environment monitoring module, an alarm module, a processor module and a data transmission module which are arranged on the observation station;
the rear-end management platform comprises an equipment management module, a data monitoring module, a data analysis module and an early warning management module;
the video acquisition module is used for acquiring a video image of an observation station in site in real time and transmitting the video image to the processor module, and the processor module identifies the video image and transmits an identification result to the rear-end management platform in real time through the data transmission module;
an identification model is preset in the processor module, the video image and the identification model are compared and identified to obtain an identification result, and the identification result comprises whether the weather phenomena of rainfall, snowfall and hail exist in the observation station site and whether the environmental influence factors of people, animals, branches and barren grass exist in the video acquisition area;
the environment monitoring module is used for acquiring rainfall, temperature, humidity and wind speed information of an observation station in site in real time and transmitting the information to the processor module, and the processor module synchronously processes the information and then transmits the information to the rear-end management platform in real time through the data transmission module;
the equipment management module monitors the operating environment of the meteorological station in real time according to the on-site rainfall, temperature, humidity and wind speed information of the observation station, which is acquired by the environment monitoring module in real time, and the position information of the observation station is also preset in the equipment management module;
the data monitoring module monitors the state, flow and use condition of the Internet of things card in the data transmission module, monitors the rainfall information acquired in the environment monitoring module, and simultaneously provides the query of the rainfall information data;
the data analysis module carries out real-time data analysis on the recognition result of the processor module and judges whether to trigger the early warning management module to send out a warning prompt according to the analysis result; in addition, the data analysis module performs data analysis and statistics on the rainfall, temperature, wind speed and humidity information of the observation station on site, and makes the information into a chart for showing;
the early warning management module sends out an alarm prompt and an alarm signal according to the analysis result of the data analysis module, the alarm signal is sent to the alarm module through the data transmission module, and the alarm module sends out an alarm in real time according to the alarm signal.
Preferably, the environment monitoring module comprises a door lock micro-motion sensing device arranged on a case of the observation station, the door lock micro-motion sensing device is used for acquiring door lock vibration information on the case in real time and transmitting the door lock vibration information to the processor module, the processor module synchronously processes the door lock vibration information and then transmits the door lock vibration information to the data transmission module, and the data transmission module transmits the door lock vibration information to the data analysis module in the rear-end management platform in real time;
the data analysis module is preset with a door lock normal vibration range, the data analysis module compares the acquired door lock vibration information with the door lock normal vibration range, if the door lock vibration information exceeds the door lock normal vibration range, the data analysis module triggers the early warning management module to send an alarm prompt, meanwhile, the video acquisition module is linked with the door lock micro-motion sensing device, and the video acquisition module adjusts the shooting position of the camera in real time to acquire a real-time video image of the door lock; and if the door lock vibration information is in the normal door lock vibration range, the data analysis module judges that the door lock vibrates normally.
Preferably, the environment monitoring module further comprises a rainfall collecting device, the rainfall collecting device collects the rainfall information of the observation station in the field in real time and transmits the rainfall information to the processor module, the processor module synchronously processes the rainfall information and then transmits the rainfall information to the data transmission module, and the data transmission module transmits the rainfall information to the data analysis module in the rear-end management platform;
and a rainfall threshold value is arranged in the data analysis module, and when rainfall information acquired by a rainfall acquisition device in the environment monitoring module in real time exceeds the rainfall threshold value in the data analysis module, the early warning management module is triggered to send out a rainfall overrun warning prompt.
Preferably, the system further comprises a mobile client, the mobile client can check the equipment state and the alarm information in the observation station in real time, the mobile client can also perform radio frequency identification code scanning unlocking on the case for inspection maintenance, inspection maintenance and shooting can be performed in the mobile client, the pictures can be uploaded to the rear-end management platform, and inspection maintenance records are formed in the mobile client and the rear-end management platform;
the mobile client also comprises a silencing function for closing the alarm module.
Preferably, the recognition model is an intelligent recognition model established through training and learning.
Preferably, an AI camera is adopted in the video acquisition module, so that automatic identification of the target object intruding into the observation station is realized.
Preferably, the environment monitoring module further comprises a temperature acquisition device, a wind speed acquisition device and a humidity acquisition device.
The invention has the beneficial effects that:
1) the remote live-action monitoring of the environment at the observation station is realized, the video acquisition module acquires video images of the observation station in real time, the acquired video images are sent to the processor module to be identified and processed, the processor module sends the identification result to the data transmission module, the data transmission module sends the identification result to the data analysis module of the rear-end management platform, the data analysis module carries out real-time data analysis on the identification result of the processor module, and whether the early-warning management module is triggered to send an alarm prompt is judged according to the analysis result. When a person enters the meteorological observation station or equipment of the meteorological observation station is damaged by external force or branches and barren grass influence normal observation of the observation station, the analysis result of the data analysis module triggers the early warning management module to send a warning prompt of the observation station, a worker is prompted to carry out necessary treatment on the warning station in time, if the analysis result of the data analysis module indicates that the person enters a specified area of the meteorological observation station in the process, the early warning management module sends the warning prompt and an alarm signal according to the analysis result of the data analysis module, the alarm signal is sent to the alarm module through the data transmission module, and the alarm module sends out an alarm in real time according to the alarm signal; and if the analysis result of the data analysis module is that the equipment of the meteorological observation station is damaged by external force or the branches and barren grass influence the normal observation of the observation station, the early warning management module only triggers an alarm prompt alone.
2) The linkage is realized between the video acquisition module and the door lock micro-motion sensing device, the position is shot by the camera adjusted by the video acquisition module in real time, the real-time video image acquisition at the door lock is realized, and the staff can accurately judge the state of the door lock of the observation station according to the acquired real-time video image.
3) The rainfall acquisition device acquires the rainfall on the observation station site in real time, the video acquisition module is utilized to monitor the rainfall condition in real time, the rainfall acquisition device is linked with the video acquisition module, and the important weather process or the emergent weather event can be observed in real scene or recorded, so that not only can the forecaster and the staff visually check the real-time weather condition around the observation station, but also the emergency work can be carried out for all levels of weather departments for reference, and the fine requirement of the weather forecast service is met.
4) The intelligent door lock design is adopted on the case, namely, an electronic lock is adopted, the case of each observation station is provided with a unique identifier, the inspection maintainer scans the code through radio frequency identification to unlock the lock, the problems that the equipment is stolen and damaged and the inspection maintainer forgets to take the key are solved, meanwhile, the inspection maintenance record is automatically generated, and the flow and the intellectualization of the equipment inspection system are realized.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of an environmental monitoring module.
Detailed Description
For the purposes of understanding, the invention will be further described in its specific structure and mode of operation with reference to the accompanying drawings in which:
as shown in fig. 1, the intelligent control system for a meteorological station of the present invention includes a meteorological station unit 10, a back-end management platform 20;
the meteorological station unit 10 comprises an observation station, and a video acquisition module 11, an environment monitoring module 12, an alarm module 13, a processor module 14 and a data transmission module 15 which are arranged on the observation station;
the rear-end management platform 20 comprises an equipment management module 21, a data monitoring module 22, a data analysis module 23 and an early warning management module 24;
the video acquisition module 11 is used for acquiring a video image of a site of the observation station in real time and transmitting the video image to the processor module 14, the processor module 14 identifies the video image and transmits the identification result to the rear-end management platform 20 in real time through the data transmission module 15;
an identification model is preset in the processor module 14, the video image and the identification model are compared and identified to obtain an identification result, and the identification result comprises whether the weather phenomena of rainfall, snowfall and hail exist in the observation station site and whether the environmental influence factors of people, animals, branches and barren grass exist in the video acquisition area;
the environment monitoring module 12 is used for acquiring rainfall, temperature, humidity and wind speed information of an observation station in real time and transmitting the information to the processor module 14, and the processor module 14 synchronously processes the information and transmits the information to the rear-end management platform 20 in real time through the data transmission module 15;
the equipment management module 21 monitors the operating environment of the meteorological station in real time according to the on-site rainfall, temperature, humidity and wind speed information of the observation station, which is acquired by the environment monitoring module 12 in real time, and the equipment management module 21 also presets the position information of the observation station;
the data monitoring module 22 is used for carrying out statistical monitoring on the state, flow and use condition of the internet of things card in the data transmission module 15, carrying out data monitoring on the rainfall information collected in the environment monitoring module 12 and simultaneously providing query of the rainfall information data;
the data analysis module 23 performs real-time data analysis on the recognition result of the processor module 14, and judges whether to trigger the early warning management module 24 to send out a warning prompt according to the analysis result; in addition, the data analysis module 23 performs data analysis and statistics on the rainfall, temperature, wind speed and humidity information of the observation station on site, and makes the information into a chart for displaying;
the early warning management module 24 sends out an alarm prompt and an alarm signal according to the analysis result of the data analysis module 23, the alarm signal is sent to the alarm module 13 through the data transmission module 15, and the alarm module 13 sends out an alarm in real time according to the alarm signal.
In this embodiment, remote live-action monitoring of an environment at an observation station is realized, the video acquisition module 11 acquires video images of the observation station in real time, and sends the acquired video images to the processor module 14 for identification processing, the processor module 14 sends identification results to the data transmission module 15, the data transmission module 15 sends the identification results to the data analysis module 23 of the rear-end management platform 20, the data analysis module 23 performs real-time data analysis on the identification results of the processor module 14, and determines whether to trigger the early warning management module 24 to send out a warning prompt according to the analysis results. The data analysis module 23 is provided with a judgment threshold value for the weather phenomena of rainfall, snowfall and hail and the environmental influence factors of people, animals, branches and barren grass entering the video acquisition area, and the identification result of the processor module 14 is compared with the judgment threshold value to obtain an analysis result. When a person enters the meteorological observation station or equipment of the meteorological observation station is damaged by external force or branches and barren grass influence the normal observation of the observation station, the analysis result of the data analysis module 23 triggers the early warning management module 24 to send a warning prompt of the observation station, and timely prompts a worker to perform necessary processing on the warning station, if the analysis result of the data analysis module 23 indicates that the person enters the specified area of the meteorological observation station in the process, the early warning management module 24 sends a warning prompt and sends a warning signal according to the analysis result of the data analysis module 23, the warning signal is sent to the warning module 13 through the data transmission module 15, and the warning module 13 sends out a warning in real time according to the warning signal; if the data analysis module 23 analyzes that the equipment of the meteorological station is damaged by external force or the branches and barren grass affect the normal observation of the meteorological station, the early warning management module 24 only triggers an alarm prompt alone. After the early warning management module 24 of the rear end management platform 20 sends out the warning prompt, the staff determines which way to process the observation station site according to the video or site picture which can be previewed in real time.
The recognition model in the processor module 14 is an intelligent recognition model established through training and learning, and can be used for recognizing, analyzing and processing weather phenomena such as rainfall, snowfall, hail and the like and high environmental influence factors such as people, animals, branches, rough grass and the like which have great influence on the observation station.
The environment monitoring module 12 comprises a door lock micro-motion sensing device 121 arranged on a case of the observation station, the door lock micro-motion sensing device 121 is used for acquiring door lock vibration information on the case in real time and transmitting the door lock vibration information to the processor module 14, the processor module 14 synchronously processes the door lock vibration information and then transmits the door lock vibration information to the data transmission module 15, and the data transmission module 15 transmits the door lock vibration information to the data analysis module 23 in the rear-end management platform 20 in real time;
a door lock normal vibration range is preset in the data analysis module 23, when the data analysis module 23 compares the collected door lock vibration information with the door lock normal vibration range, if the door lock vibration information exceeds the door lock normal vibration range, the early warning management module 24 is triggered to send an alarm prompt, meanwhile, the video collection module 11 is linked with the door lock micro-motion sensing device 121, the video collection module 11 adjusts the shooting position of a camera in real time to collect real-time video images of the door lock, and a worker accurately judges the state of the door lock of the observation station according to the collected real-time video images; if the door lock vibration information is within the normal door lock vibration range, the data analysis module 23 determines that the door lock is vibrating normally.
The environment monitoring module 12 further includes a rainfall collecting device 122, the rainfall collecting device 122 collects the rainfall information of the observation station in real time and transmits the rainfall information to the processor module 14, the processor module 14 synchronously processes the rainfall information and then transmits the rainfall information to the data transmission module 15, and the rainfall information is transmitted to the data analysis module 23 in the rear-end management platform 20 through the data transmission module 15;
the data analysis module 23 is provided with a rainfall threshold, and when the rainfall information acquired by the rainfall acquisition device 122 in the environment monitoring module 12 in real time exceeds the rainfall threshold in the data analysis module 23, the early warning management module 24 is triggered to send out a rainfall overrun warning prompt.
The rainfall acquisition device 122 acquires the rainfall on the observation station site in real time, the video acquisition module 11 is utilized to monitor the rainfall condition in real time, the rainfall acquisition device 122 is linked with the video acquisition module 11, and the important weather process or the emergent weather event is subjected to live observation or recorded broadcast, so that a forecaster and a worker can visually check the real-time weather condition around the observation station, reference is provided for emergency work of all levels of meteorological departments, and the fine requirement of weather forecast service is met.
The system also comprises a mobile client 30, wherein the mobile client 30 can check the equipment state and the alarm information in the observation station in real time, the mobile client 30 can also perform radio frequency identification code scanning unlocking on the case for inspection maintenance, can perform inspection maintenance and photographing in the mobile client 30 and transmit the photograph to the rear-end management platform 20, and forms an inspection maintenance record in the mobile client 30 and the rear-end management platform 20;
a mute function to turn off the alarm module 13 is also included in the mobile client 30.
When the inspection maintenance personnel need to enter the observation station for inspection maintenance on site, in order to avoid the data analysis module 23 from misjudging and sending out alarm information and alarm signals, the inspection maintenance can use the silent function in the mobile client 30 to close the alarm module 13 at the observation station, and meanwhile, the mobile client 30 and the rear-end management platform 20 realize information intercommunication, and close the alarm function of the observation station in the early warning management module 24. In addition, the intelligent door lock design is adopted on the case, namely an electronic lock is adopted, the case of each observation station is provided with a unique identifier, and the inspection maintainer scans the code through radio frequency identification to unlock the lock, so that the problems that the equipment is stolen and damaged and the inspection maintainer forgets to take the key are solved, and meanwhile, the inspection maintenance record is automatically generated, and the flow and the intellectualization of the equipment inspection system are realized.
Adopt the AI camera among the video acquisition module 11, realize the automatic identification to the target object in the observation station of intruding into, can realize that video acquisition module 11 carries out preliminary discernment to the target object, like the personnel of intruding into, kite, the plastic bag that drop, the beverage bottle of leaving over, overlength vegetation etc..
The environment monitoring module 12 further includes a temperature acquisition device 123, a wind speed acquisition device 124, and a humidity acquisition device 125 for acquiring the temperature, the wind speed, and the humidity of the observation site in real time.
According to the weather phenomenon and detection environment high-influence factor intelligent identification system based on the deep learning algorithm, a set of weather phenomenon and detection environment high-influence factor intelligent identification system based on the deep learning algorithm is constructed by utilizing technologies such as the Internet of things and artificial intelligence, intelligent identification of weather phenomena such as rainfall of a weather observation station and intelligent identification of the observation station detection environment high-influence factors are achieved, the safety condition, the operation condition and the rainfall condition of the observation station can be automatically monitored, the weather observation equipment and remote maintenance support capability is improved, the basic support construction and protection of the weather observation equipment are improved, the environment high-influence factor change condition of the observation station can be automatically monitored, service personnel are timely notified to handle, intelligent safety protection, data monitoring, linkage alarm and the like are simultaneously established, and the stable operation and forecast service capability of the weather observation station are improved. The rainfall condition of the observation field is monitored in real time by utilizing a video image monitoring technology, and the auxiliary judgment of the rainfall condition can be realized by means of rainfall observation data.
Claims (7)
1. An intelligent control system of a meteorological station, characterized in that: the system comprises a meteorological station unit (10) and a rear-end management platform (20);
the weather observation station unit (10) comprises an observation station, and a video acquisition module (11), an environment monitoring module (12), an alarm module (13), a processor module (14) and a data transmission module (15) which are arranged on the observation station;
the rear-end management platform (20) comprises an equipment management module (21), a data monitoring module (22), a data analysis module (23) and an early warning management module (24);
the video acquisition module (11) is used for acquiring the video images of the observation station in the field in real time and transmitting the video images to the processor module (14), the processor module (14) identifies the video images and transmits the identification results to the rear-end management platform (20) in real time through the data transmission module (15);
an identification model is preset in the processor module (14), the video image and the identification model are compared and identified to obtain an identification result, and the identification result comprises whether the weather phenomena of rainfall, snowfall and hail exist in the site of the observation station and whether the environmental influence factors of people, animals, branches and barren grass exist in the video acquisition area;
the environment monitoring module (12) is used for acquiring rainfall, temperature, humidity and wind speed information of an observation station site in real time and transmitting the information to the processor module (14), and the processor module (14) synchronously processes the information and then transmits the information to the back-end management platform (20) in real time through the data transmission module (15);
the equipment management module (21) monitors the running environment of the meteorological station in real time according to the information of rainfall, temperature, humidity and wind speed of the observation station site acquired by the environment monitoring module (12) in real time, and the position information of the observation station is also preset in the equipment management module (21);
the data monitoring module (22) is used for monitoring the state, flow and use condition of the Internet of things card in the data transmission module (15), monitoring the rainfall information acquired in the environment monitoring module (12) and simultaneously providing query of the rainfall information data;
the data analysis module (23) carries out real-time data analysis on the recognition result of the processor module (14), and judges whether to trigger the early warning management module (24) to send out a warning prompt according to the analysis result; in addition, a data analysis module (23) performs data analysis and statistics on the rainfall, temperature, wind speed and humidity information of the observation station on site, and makes the information into a chart for showing;
the early warning management module (24) sends out an alarm prompt and an alarm signal according to the analysis result of the data analysis module (23), the alarm signal is sent to the alarm module (13) through the data transmission module (15), and the alarm module (13) sends out an alarm in real time according to the alarm signal.
2. The intelligent control system of a meteorological station according to claim 1, wherein: the environment monitoring module (12) comprises a door lock micro-motion sensing device (121) arranged on a case of the observation station, the door lock micro-motion sensing device (121) is used for acquiring door lock vibration information on the case in real time and transmitting the door lock vibration information to the processor module (14), the processor module (14) synchronously processes the door lock vibration information and then transmits the door lock vibration information to the data transmission module (15), and the data transmission module (15) transmits the door lock vibration information to the data analysis module (23) in the rear-end management platform (20) in real time;
a door lock normal vibration range is preset in the data analysis module (23), the data analysis module (23) compares the acquired door lock vibration information with the door lock normal vibration range, if the door lock vibration information exceeds the door lock normal vibration range, the early warning management module (24) is triggered to send an alarm prompt, meanwhile, the video acquisition module (11) is linked with the door lock micro-motion sensing device (121), the video acquisition module (11) adjusts the shooting position of the camera in real time, and real-time video image acquisition at the door lock is realized; if the door lock vibration information is in the normal door lock vibration range, the data analysis module (23) judges that the door lock vibrates normally.
3. The intelligent control system of a meteorological station according to claim 1, wherein: the environment monitoring module (12) further comprises a rainfall collecting device (122), the rainfall collecting device (122) collects the rainfall information of an observation station in site in real time and transmits the rainfall information to the processor module (14), the processor module (14) synchronously processes the rainfall information and then transmits the rainfall information to the data transmission module (15), and the rainfall information is transmitted to the data analysis module (23) in the rear-end management platform (20) in real time through the data transmission module (15);
the rainfall information acquired by the rainfall acquisition device (122) in the environment monitoring module (12) in real time exceeds the rainfall threshold value in the data analysis module (23), and the early warning management module (24) is triggered to send out a rainfall overrun warning prompt.
4. The intelligent control system of a meteorological station according to claim 1, wherein: the system also comprises a mobile client (30), the mobile client (30) can check the equipment state and the alarm information in the observation station in real time, the mobile client (30) can also perform radio frequency identification code scanning unlocking on the case for inspection maintenance, inspection maintenance and photographing can be performed in the mobile client (30), the photograph can be uploaded to the rear-end management platform (20), and inspection maintenance records are formed in the mobile client (30) and the rear-end management platform (20);
the mobile client (30) also comprises a silencing function for closing the alarm module (13).
5. The intelligent control system of a meteorological station according to claim 1, wherein: the recognition model is an intelligent recognition model established through training and learning.
6. An intelligent control system for a meteorological station according to claim 1 or claim 2, wherein: an AI camera is adopted in the video acquisition module (11), so that the preliminary automatic identification of the target object intruding into the observation station is realized.
7. The intelligent control system of a meteorological station according to claim 1, wherein: the environment monitoring module (12) further comprises a temperature acquisition device (123), a wind speed acquisition device (124) and a humidity acquisition device (125).
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114325875A (en) * | 2021-12-24 | 2022-04-12 | 中国气象局气象探测中心 | Weather station equipment control method and equipment |
| CN114966897A (en) * | 2022-05-30 | 2022-08-30 | 郑州丰嘉科技有限公司 | Historical relic safety analysis early warning system |
| CN116226606A (en) * | 2023-05-05 | 2023-06-06 | 安徽省大气探测技术保障中心 | Unmanned automatic weather station rainfall data quality control method and system |
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| CN116226606B (en) * | 2023-05-05 | 2023-07-04 | 安徽省大气探测技术保障中心 | Unmanned automatic weather station rainfall data quality control method and system |
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