CN111103405A - Air quality forecast early warning system - Google Patents
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- CN111103405A CN111103405A CN201911351576.1A CN201911351576A CN111103405A CN 111103405 A CN111103405 A CN 111103405A CN 201911351576 A CN201911351576 A CN 201911351576A CN 111103405 A CN111103405 A CN 111103405A
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- 239000003344 environmental pollutant Substances 0.000 claims abstract description 53
- 231100000719 pollutant Toxicity 0.000 claims abstract description 52
- 238000012544 monitoring process Methods 0.000 claims abstract description 18
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 238000007619 statistical method Methods 0.000 claims abstract description 7
- 238000003915 air pollution Methods 0.000 claims description 12
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004141 dimensional analysis Methods 0.000 claims description 3
- 239000000428 dust Substances 0.000 claims description 3
- 239000003897 fog Substances 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 238000007670 refining Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 abstract description 3
- 241000233805 Phoenix Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
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- G—PHYSICS
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- 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
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
- G01N33/0065—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means using more than one threshold
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Abstract
The invention discloses an air quality forecasting and early warning system, which comprises air quality monitoring analysis, atmospheric pollution condition analysis and atmospheric pollution forecasting and early warning, wherein the air quality monitoring analysis is used for acquiring live data of pollutants, transmitting the live data to a data warehouse of the system through an NB-IoT network and carrying out multi-dimensional statistical analysis on the live data; analyzing the atmospheric pollution condition to obtain meteorological actual measurement data, displaying the pollutant forecast in a GIS (geographic information System) color spot diagram form, and performing forecast product comprehensive analysis on the influence of element change on the pollutant; the atmospheric pollution forecast early warning sets pollutant numerical reminding threshold values for collected pollutant live data aiming at different sites, and the pollutants are reminded by image highlighting and sound after the pollutant numerical reminding threshold values are exceeded. The invention can overcome the shortage of effective forecasting duration of environmental weather forecasting, and can forecast the pollutant variation trend in a more accurate forecasting area range through various modes, thereby providing powerful guarantee for advanced forecasting and accurate forecasting of environmental protection business departments.
Description
Technical Field
The invention relates to the technical field of air quality prediction and early warning, in particular to an air quality prediction and early warning system.
Background
Through the development of more than ten years, the domestic meteorological environmental protection service department is mature in the aspect of monitoring conventional pollutants (PM 2.5, PM10, SO2, NO, CO, O3 and the like) at present, and can accurately monitor the live data of the pollutants and count the live data. However, the early warning prediction of pollutants still belongs to the field of the commercialization of the phoenix unicorn, and particularly, the early warning prediction of pollutants cannot reach the commercially available degree in terms of the forecast duration and accuracy.
Disclosure of Invention
The invention aims to provide an air quality forecasting and early warning system to solve the technical defects and the technical requirements which cannot be met in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: air quality forecast early warning system, its characterized in that: the system comprises a specific service module, an air quality monitoring analysis module, an air pollution condition analysis module and an air pollution forecast and early warning module, wherein the air quality monitoring analysis module firstly collects the live data of pollutants through an environment monitoring sensor of a ground observation station, the pollutants comprise PM2.5, PM10, SO2, NO, CO and O3, the data are transmitted to a data warehouse of the system through an NB-IoT network, the live data are subjected to multi-dimensional statistical analysis, reports of day, month, year and the like are provided, and the comprehensive index of air quality is counted; the atmospheric pollution condition analysis comprises the steps of firstly obtaining weather actual measurement data from a national CIMISS data warehouse, displaying the weather actual measurement data in the form of a professional GIS meteorological chart, displaying a pollutant forecast in the form of a GIS speckled chart, and providing comprehensive analysis of forecast products of influences of element changes of the weather forecast on the pollutants; firstly, setting pollutant numerical reminding thresholds for different sites according to collected pollutant live data, and reminding by using image highlighting and sound after the pollutants live data exceed the thresholds; combining the collected pollutant live data to provide reference data support for calculation of pollutant mode prediction; and forecasting the comprehensive forecast in multiple modes, wherein the multiple mode forecasts comprise a CAMx mode, a WRF-chem mode and a neural network mode.
Preferably, the specific content of the air quality monitoring includes: the pollutant data transmitted back every five minutes through the ground monitoring station is subjected to statistical analysis on the pollutant data real-time data, reports of different dimensions of days, months and years are provided, and different dimensional analysis is performed on pollutant concentration ranking and air quality comprehensive indexes.
Preferably, the specific content of the atmospheric pollution condition analysis includes that the actually measured data provides professional meteorological cartography of ground, live barometric pressure such as 500hPa, 700hPa, 850hPa, live precipitation, live wind direction and wind speed, and also provides GIS cartography of meteorological numerical prediction.
Preferably, the specific content of the air pollution forecast early warning includes providing numerical forecasts of pollutants such as AQI, PM2.5, PM10, SO2, NO, CO, O3 and the like through forecasting forms of a CAMx mode, a WRF-chem mode and a neural network mode, and refining regional mottle map forecasts.
Preferably, the air pollution forecast early warning comprises pollution forecast analysis, and the pollution forecast analysis provides a mottle pattern combining sand, dust, fog, haze, AQI and the like with geographical position information.
Compared with the prior art, the invention has the following beneficial effects:
the technical scheme provided by the air quality forecast early warning system can overcome the shortage of effective forecast duration of environmental weather forecast, and can forecast the change trend of pollutants in a more accurate forecast area range through multiple modes, thereby providing a powerful guarantee for advanced and accurate forecast of environmental protection business departments, comprehensively forecasting multiple forecast modes of environmental pollutants, and improving the accuracy of mutual inspection forecast.
Drawings
Fig. 1 is a frame diagram of an application of the air quality forecast warning system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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.
The invention provides a technical scheme that: air quality forecast early warning system, its characterized in that: the system comprises a specific service module, an air quality monitoring analysis module, an air pollution condition analysis module and an air pollution forecast and early warning module, wherein the air quality monitoring analysis module firstly collects the live data of pollutants through an environment monitoring sensor of a ground observation station, the pollutants comprise PM2.5, PM10, SO2, NO, CO and O3, the data are transmitted to a data warehouse of the system through an NB-IoT network, the live data are subjected to multi-dimensional statistical analysis, reports of day, month, year and the like are provided, and the comprehensive index of air quality is counted; the atmospheric pollution condition analysis comprises the steps of firstly obtaining weather actual measurement data from a national CIMISS data warehouse, displaying the weather actual measurement data in the form of a professional GIS meteorological chart, displaying a pollutant forecast in the form of a GIS speckled chart, and providing comprehensive analysis of forecast products of influences of element changes of the weather forecast on the pollutants; firstly, setting pollutant numerical reminding thresholds for different sites according to collected pollutant live data, and reminding by using image highlighting and sound after the pollutants live data exceed the thresholds; combining the collected pollutant live data to provide reference data support for calculation of pollutant mode prediction; and forecasting the comprehensive forecast in multiple modes, wherein the multiple mode forecasts comprise a CAMx mode, a WRF-chem mode and a neural network mode.
The specific content of the air quality monitoring comprises the following steps: the pollutant data transmitted back every five minutes through the ground monitoring station is subjected to statistical analysis on the pollutant data real-time data, reports of different dimensions of days, months and years are provided, and different dimensional analysis is performed on pollutant concentration ranking and air quality comprehensive indexes.
The specific content of the atmospheric pollution condition analysis comprises that actual measurement data provides professional meteorological cartography of ground, actual air pressure of 500hPa, 700hPa, 850hPa and the like, actual precipitation, actual wind direction and wind speed and the like, and GIS cartography of meteorological numerical prediction is also provided.
The specific content of the air pollution forecast early warning comprises the steps of providing numerical forecast of pollutants such as AQI, PM2.5, PM10, SO2, NO, CO, O3 and the like through the forecast forms of a CAMx mode, a WRF-chem mode and a neural network mode, and refining regional color spot diagram forecast.
The air pollution forecast early warning comprises pollution forecast analysis, and the pollution forecast analysis provides a mottle pattern combining sand, dust, fog, haze, AQI and the like with geographical position information.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (5)
1. Air quality forecast early warning system, its characterized in that: the system comprises a specific service module, an air quality monitoring analysis module, an air pollution condition analysis module and an air pollution forecast and early warning module, wherein the air quality monitoring analysis module firstly collects the live data of pollutants through an environment monitoring sensor of a ground observation station, the pollutants comprise PM2.5, PM10, SO2, NO, CO and O3, the data are transmitted to a data warehouse of the system through an NB-IoT network, the live data are subjected to multi-dimensional statistical analysis, reports of day, month, year and the like are provided, and the comprehensive index of air quality is counted; the atmospheric pollution condition analysis comprises the steps of firstly obtaining weather actual measurement data from a national CIMISS data warehouse, displaying the weather actual measurement data in the form of a professional GIS meteorological chart, displaying a pollutant forecast in the form of a GIS speckled chart, and providing comprehensive analysis of forecast products of influences of element changes of the weather forecast on the pollutants; firstly, setting pollutant numerical reminding thresholds for different sites according to collected pollutant live data, and reminding by using image highlighting and sound after the pollutants live data exceed the thresholds; combining the collected pollutant live data to provide reference data support for calculation of pollutant mode prediction; and forecasting the comprehensive forecast in multiple modes, wherein the multiple mode forecasts comprise a CAMx mode, a WRF-chem mode and a neural network mode.
2. The air quality forecast warning system of claim 1, wherein: the specific content of the air quality monitoring comprises the following steps: the pollutant data transmitted back every five minutes through the ground monitoring station is subjected to statistical analysis on the pollutant data real-time data, reports of different dimensions of days, months and years are provided, and different dimensional analysis is performed on pollutant concentration ranking and air quality comprehensive indexes.
3. The air quality forecast warning system of claim 1, wherein: the specific content of the atmospheric pollution condition analysis comprises that actual measurement data provides professional meteorological cartography of ground, live air pressure of 500hPa, 700hPa, 850hPa and the like, live precipitation, live wind direction and wind speed and the like, and GIS cartography of meteorological numerical prediction is also provided.
4. The air quality forecast warning system of claim 1, wherein: the specific content of the air pollution forecast early warning comprises the steps of providing numerical forecast of pollutants such as AQI, PM2.5, PM10, SO2, NO, CO, O3 and the like through the forecast forms of a CAMx mode, a WRF-chem mode and a neural network mode, and refining regional color spot map forecast.
5. The air quality forecast warning system of claim 3, wherein: the air pollution forecast early warning comprises pollution forecast analysis, and the pollution forecast analysis provides a mottle pattern combining sand, dust, fog, haze, AQI and the like with geographical position information.
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| CN201911351576.1A CN111103405A (en) | 2019-12-24 | 2019-12-24 | Air quality forecast early warning system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111596012A (en) * | 2020-07-02 | 2020-08-28 | 中科三清科技有限公司 | Air quality monitoring method, device, equipment and storage medium |
| CN112526639A (en) * | 2020-11-27 | 2021-03-19 | 中科三清科技有限公司 | Air quality forecasting method and device and storage medium |
| CN113283630A (en) * | 2021-04-09 | 2021-08-20 | 中科三清科技有限公司 | Air quality prediction method, device, equipment and computer readable storage medium |
| CN113487098A (en) * | 2021-07-14 | 2021-10-08 | 清华苏州环境创新研究院 | Atmospheric pollution early warning information expression and display method |
| CN115097547A (en) * | 2022-07-04 | 2022-09-23 | 湖南省生态环境监测中心 | Atmospheric heavy pollution forecasting method based on combination of numerical mode and statistical analysis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596012A (en) * | 2020-07-02 | 2020-08-28 | 中科三清科技有限公司 | Air quality monitoring method, device, equipment and storage medium |
| CN112526639A (en) * | 2020-11-27 | 2021-03-19 | 中科三清科技有限公司 | Air quality forecasting method and device and storage medium |
| CN113283630A (en) * | 2021-04-09 | 2021-08-20 | 中科三清科技有限公司 | Air quality prediction method, device, equipment and computer readable storage medium |
| CN113487098A (en) * | 2021-07-14 | 2021-10-08 | 清华苏州环境创新研究院 | Atmospheric pollution early warning information expression and display method |
| CN115097547A (en) * | 2022-07-04 | 2022-09-23 | 湖南省生态环境监测中心 | Atmospheric heavy pollution forecasting method based on combination of numerical mode and statistical analysis |
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Address after: No.218-430079, Wuhan New Wuhu science and Technology Park, Wuhan Applicant after: Xiangji Technology Co.,Ltd. Address before: No.218-430079, Wuhan New Wuhu science and Technology Park, Wuhan Applicant before: XIANGJI ZHIYUAN (WUHAN) TECHNOLOGY CO.,LTD. |
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Application publication date: 20200505 |