CN113375985A - Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage - Google Patents
Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage Download PDFInfo
- Publication number
- CN113375985A CN113375985A CN202110650591.7A CN202110650591A CN113375985A CN 113375985 A CN113375985 A CN 113375985A CN 202110650591 A CN202110650591 A CN 202110650591A CN 113375985 A CN113375985 A CN 113375985A
- Authority
- CN
- China
- Prior art keywords
- unmanned aerial
- aerial vehicle
- module
- automatic
- greenhouse gas
- 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
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000005431 greenhouse gas Substances 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 title claims abstract description 22
- 239000010813 municipal solid waste Substances 0.000 title claims abstract description 22
- 238000005070 sampling Methods 0.000 claims abstract description 36
- 238000007689 inspection Methods 0.000 claims abstract description 27
- 239000007789 gas Substances 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000012216 screening Methods 0.000 claims abstract description 10
- 230000001788 irregular Effects 0.000 claims abstract description 9
- 238000011895 specific detection Methods 0.000 claims abstract description 4
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 4
- 239000003344 environmental pollutant Substances 0.000 claims description 2
- 231100000719 pollutant Toxicity 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 abstract description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000010791 domestic waste Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 238000009270 solid waste treatment Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/22—Devices for withdrawing samples in the gaseous state
- G01N1/2273—Atmospheric sampling
-
- 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
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N2001/021—Correlating sampling sites with geographical information, e.g. GPS
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Combustion & Propulsion (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Sampling And Sample Adjustment (AREA)
Abstract
The invention provides a method for collecting greenhouse gas detection samples for landfill treatment of urban domestic garbage, which relates to the technical field of environmental monitoring and comprises an unmanned aerial vehicle cruise module and an automatic gas sampling module, wherein an automatic inspection area fixed-point screening module is arranged between the unmanned aerial vehicle cruise module and the automatic gas sampling module, the unmanned aerial vehicle cruise module is provided with an irregular automatic take-off module, and the specific detection method comprises the following steps: controlling the unmanned aerial vehicle to randomly select time to fly and cruise in a specified cruise area through the untimed automatic takeoff module; and secondly, correcting the flight track of the unmanned aerial vehicle by the unmanned aerial vehicle patrol module, and ensuring that the unmanned aerial vehicle flies in a specified patrol area, and the route in the patrol area is irregular and is a random route. The invention can timely and effectively monitor greenhouse gas during garbage treatment, the monitoring result is real, and enterprises and detection departments cannot evade monitoring, so that the monitoring is effective.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a method for collecting greenhouse gas detection samples in landfill treatment of urban household garbage.
Background
Greenhouse gas (GHG) emissions from municipal solid waste such as household garbage (MSW) during processing are an important source of greenhouse gases. In order to formulate a targeted domestic garbage greenhouse gas emission reduction strategy, domestic and foreign scholars study greenhouse gas emission laws of different treatment modes such as landfill and incineration and respectively adopt a life cycle evaluation method (LCA), a recommendation method of inter-government climate change special committee (I PCC) of the United nations, an accounting method based on a Clean Development Mechanism (CDM) and the like to carry out greenhouse gas emission accounting and analysis on a domestic garbage treatment technology and the whole treatment system.
In the prior art, in order to save cost, part of garbage disposal units do not effectively and comprehensively treat household garbage, so that greenhouse gas emission is caused, a supervision system is not yet brought into the greenhouse gas emission at the present stage, the workload of the environment-friendly part is large, dead-angle-free monitoring can not be timely and effectively realized for all regions, and the randomness of sampling detection can not be realized in the detection process, so that the sampling detection data is inaccurate.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for collecting samples for detecting greenhouse gases in landfill treatment of municipal solid waste, which solves the problem that the monitoring data of the large workload of the greenhouse gas emission monitoring of the municipal solid waste treatment in the prior art is inaccurate.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a town domestic waste landfill handles greenhouse gas and detects sample collection method, includes that unmanned aerial vehicle cruises module and gaseous automatic sampling module, be provided with the regional automatic fixed point screening module of patrolling between unmanned aerial vehicle cruises module and the gaseous automatic sampling module, unmanned aerial vehicle cruises the module and is provided with the untimely automatic module of taking off, and its specific detection method is as follows:
controlling the unmanned aerial vehicle to randomly select time to fly and cruise in a specified cruise area through the untimed automatic takeoff module;
correcting the flight track of the unmanned aerial vehicle by the unmanned aerial vehicle inspection module, and ensuring that the unmanned aerial vehicle flies in a specified inspection area, and the route in the inspection area is irregular and is a random route;
and step three, randomly selecting a sampling place by an automatic fixed-point screening module of the inspection area in the flying process of the unmanned aerial vehicle, controlling an automatic gas sampling module to sample the atmosphere of the area, and automatically returning the unmanned aerial vehicle to the monitoring point after sampling is finished.
Preferably, the untimely automatic takeoff module takes off twice to the cubic for the untimely automatic takeoff every week, and takes off the time at every turn and chooses at random through the system, and unmanned aerial vehicle should in time put when the completion of charging and wait to control and take off at the flying spot, guarantees unmanned aerial vehicle's normal flight, and is provided with two unmanned aerial vehicles in the same region of cruising, guarantees that unmanned aerial vehicle prepares to cruise in twenty-four hours.
Preferably, unmanned aerial vehicle module of cruising guarantees that unmanned aerial vehicle does irregular flight in the supervision within range that is the scope of cruising type, and guarantees that unmanned aerial vehicle flies in the region of cruising, guarantees unmanned aerial vehicle's continuation of the journey safety, avoids losing.
Preferably, the automatic fixed-point screening module in the inspection area randomly controls the unmanned aerial vehicle to hover when the unmanned aerial vehicle flies, and the hovering position is randomly hovering in the vertical direction and the horizontal direction from fifty meters to five hundred meters above the ground in the inspection area, so that fixed-point sampling is facilitated.
Preferably, the automatic gas sampling module records the time and longitude and latitude of collection when collecting the atmosphere at the hovering position, and strictly seals the collected sampling bottle, and the automatic gas sampling module can be matched with various conventional pollutant gas detectors, and the detectors are matched with a wireless data transmission system, so that the monitoring data are transmitted to a cloud storage system, a worker can check the query result at a cloud storage system terminal, the query result comprises detection position information and gas content data information, sample pollution is effectively avoided, the monitoring data are more accurate and scientific, simple and single gas detection can be directly completed, real-time transmission is realized, and the monitoring efficiency is greatly improved.
Preferably, the untimed automatic takeoff module is a control module based on a random switch and is interconnected with a takeoff control system of the unmanned aerial vehicle, so that the unmanned aerial vehicle can be controlled to randomly take off, and labor force is greatly saved by cognitive sampling of the unmanned aerial vehicle.
(III) advantageous effects
The invention provides a method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage. The method has the following beneficial effects:
the invention can effectively save sampling personnel detected by environmental protection departments, greatly save labor force, reduce supervision cost, ensure that the supervision sampling has randomness, and ensure that the sampling data is more accurate and real.
Drawings
FIG. 1 is a flow chart of a method for collecting greenhouse gas detection samples in landfill treatment of municipal solid waste.
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.
Example (b):
as shown in fig. 1, an embodiment of the invention provides a method for collecting greenhouse gas detection samples for landfill treatment of urban domestic garbage, which comprises an unmanned aerial vehicle cruise module and an automatic gas sampling module, wherein an automatic inspection area fixed-point screening module is arranged between the unmanned aerial vehicle cruise module and the automatic gas sampling module, the unmanned aerial vehicle cruise module is provided with an irregular automatic take-off module, and the specific detection method comprises the following steps:
the method comprises the following steps that an untimely automatic takeoff module controls an unmanned aerial vehicle to randomly select time to fly and cruise in a specified cruise area, so that the assault inspection has untimely performance, the unmanned aerial vehicle target is small, the existence of the unmanned aerial vehicle cannot be found in time in the assault inspection, an enterprise cannot evade the inspection in time, and the authenticity of an inspection result is ensured;
the unmanned aerial vehicle inspection module corrects the flight track of the unmanned aerial vehicle, so that the unmanned aerial vehicle can fly in a specified inspection area, and the route in the inspection area is irregular and is a random route, so that the inspection place has uncertainty, and the internal personnel are prevented from being leaked when the unmanned aerial vehicle takes off;
and step three, randomly selecting a sampling place by an automatic fixed-point screening module in an inspection area in the flying process of the unmanned aerial vehicle, controlling an automatic gas sampling module to sample the atmosphere in the area, automatically returning the unmanned aerial vehicle to a monitoring point after sampling, and sampling at different heights and different places, so that the sampling tool is more scientific, the inspection is more authentic, and no dead angle exists during detection due to long-time sampling detection, and the supervision is comprehensive.
The untimely automatic takeoff module takes off twice to three times in an untimely way every week, the takeoff time at each time is randomly selected through the system, and the unmanned aerial vehicle is placed at a flying waiting point in time when charging is completed to wait for control takeoff. The unmanned aerial vehicle module of cruising guarantees that unmanned aerial vehicle does irregular flight in the supervision scope that receives also the scope class of cruising, and guarantees that unmanned aerial vehicle flies in the region of cruising for effectual normality and the validity of guaranteeing the supervision under the condition that reduces the assault inspection.
The automatic fixed-point screening module of the inspection area randomly controls the unmanned aerial vehicle to hover when the unmanned aerial vehicle flies, the hovering position is hovering randomly in the vertical direction and the horizontal direction of fifty meters to five hundred meters above the ground in the inspection area, and the supervision in the range of fifty meters to five hundred meters enables the supervision result to be more practical. Gaseous automatic sampling module records the time and the longitude and latitude of collection when gathering the atmosphere of position of hovering, and carry out strict sealing to the sampling bottle who gathers, guarantee the accuracy of sample, avoid polluting, and gaseous automatic sampling module can arrange multiple conventional pollution gas detector, and detector collocation wireless data transmission system, with monitoring data transmission to cloud storage system, the staff can look over the inquiry result at cloud storage system terminal, the inquiry result is including detecting positional information and gas content data information. The untimed automatic takeoff module is a control module based on a random switch, and is interconnected with a takeoff control system of the unmanned aerial vehicle, so that the unmanned aerial vehicle can be controlled to randomly take off, the working strength of environment-friendly workers can be greatly reduced through the unmanned aerial vehicle, and the investment of supervision personnel is saved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method for collecting greenhouse gas detection samples in landfill treatment of urban household garbage is characterized by comprising the following steps: including unmanned aerial vehicle module and gaseous automatic sampling module of cruising, be provided with the regional automatic fixed point screening module of patrolling between unmanned aerial vehicle module of cruising and the gaseous automatic sampling module, unmanned aerial vehicle module of cruising is provided with the automatic module of taking off of untiming, and its specific detection method is as follows:
controlling the unmanned aerial vehicle to randomly select time to fly and cruise in a specified cruise area through the untimed automatic takeoff module;
correcting the flight track of the unmanned aerial vehicle by the unmanned aerial vehicle inspection module, and ensuring that the unmanned aerial vehicle flies in a specified inspection area, and the route in the inspection area is irregular and is a random route;
and step three, randomly selecting a sampling place by an automatic fixed-point screening module of the inspection area in the flying process of the unmanned aerial vehicle, controlling an automatic gas sampling module to sample the atmosphere of the area, and automatically returning the unmanned aerial vehicle to the monitoring point after sampling is finished.
2. The method for collecting the greenhouse gas detection samples for the landfill treatment of the municipal solid waste according to claim 1, wherein the method comprises the following steps: the untimed automatic takeoff module takes off twice to three times in an untimed manner every week, the takeoff time is randomly selected through the system, and the unmanned aerial vehicle is placed at a flying waiting point in time when charging is completed to wait for control takeoff.
3. The method for collecting the greenhouse gas detection samples for the landfill treatment of the municipal solid waste according to claim 1, wherein the method comprises the following steps: the unmanned aerial vehicle module of cruising guarantees that unmanned aerial vehicle does irregular flight in the supervision scope that is the scope of cruising type, and guarantees that unmanned aerial vehicle flies in the region of cruising.
4. The method for collecting the greenhouse gas detection samples for the landfill treatment of the municipal solid waste according to claim 1, wherein the method comprises the following steps: the inspection area automatic fixed-point screening module randomly controls the unmanned aerial vehicle to hover when the unmanned aerial vehicle flies, and the hovering position is randomly hovering in the vertical direction and the horizontal direction of fifty meters to five hundred meters above the ground in the inspection area.
5. The method for collecting the greenhouse gas detection samples for the landfill treatment of the municipal solid waste according to claim 1, wherein the method comprises the following steps: the automatic gas sampling module records the time and longitude and latitude of collection when collecting the atmosphere at the hovering position, and strictly seals the collected sampling bottle, the automatic gas sampling module can be matched with various conventional pollutant gas detectors, the detectors are matched with a wireless data transmission system, monitoring data are transmitted to a cloud storage system, a worker can check the query result at a cloud storage system terminal, and the query result comprises detection position information and gas content data information.
6. The method for collecting the greenhouse gas detection samples for the landfill treatment of the municipal solid waste according to claim 1, wherein the method comprises the following steps: the untimed automatic takeoff module is a control module based on a random switch and is interconnected with a takeoff control system of the unmanned aerial vehicle, so that the unmanned aerial vehicle can be controlled to realize random takeoff.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110650591.7A CN113375985A (en) | 2021-06-10 | 2021-06-10 | Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110650591.7A CN113375985A (en) | 2021-06-10 | 2021-06-10 | Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113375985A true CN113375985A (en) | 2021-09-10 |
Family
ID=77573818
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110650591.7A Pending CN113375985A (en) | 2021-06-10 | 2021-06-10 | Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113375985A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114459538A (en) * | 2022-01-21 | 2022-05-10 | 南京数之信市场研究有限公司 | Unmanned aerial vehicle remote sensing inspection method and system for garbage classification point |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699530A (en) * | 2009-11-10 | 2010-04-28 | 贵州大学 | Theft-proof robot capable of patrolling randomly |
| CN205785331U (en) * | 2016-06-24 | 2016-12-07 | 广州圣亚环保科技有限公司 | Environment automatic monitoring unmanned plane |
| CN205898761U (en) * | 2016-06-30 | 2017-01-18 | 广州正虹科技发展有限公司 | Air quality monitoring system |
| CN107315422A (en) * | 2017-07-29 | 2017-11-03 | 南京白云环境科技集团股份有限公司 | Air automatic detection and sample-leaving system based on unmanned plane |
| KR101936586B1 (en) * | 2017-11-08 | 2019-04-09 | 한국건설기술연구원 | System for mapping river water-bloom map using data for detecting by gps-based random sampling, and method for the same |
| CN110654539A (en) * | 2019-10-12 | 2020-01-07 | 董波 | Ancient building monitoring protection system |
| CN111812268A (en) * | 2019-04-11 | 2020-10-23 | 苏州臻迪智能科技有限公司 | Monitoring method, control device, unmanned aerial vehicle and unmanned aerial vehicle system |
| CN112034108A (en) * | 2020-09-16 | 2020-12-04 | 上海市环境科学研究院 | Device and method for analyzing regional pollution condition and computer readable storage medium |
| CN112098614A (en) * | 2020-08-25 | 2020-12-18 | 江苏裕和检测技术有限公司 | Water quality detection system and detection method for improving detection accuracy |
-
2021
- 2021-06-10 CN CN202110650591.7A patent/CN113375985A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699530A (en) * | 2009-11-10 | 2010-04-28 | 贵州大学 | Theft-proof robot capable of patrolling randomly |
| CN205785331U (en) * | 2016-06-24 | 2016-12-07 | 广州圣亚环保科技有限公司 | Environment automatic monitoring unmanned plane |
| CN205898761U (en) * | 2016-06-30 | 2017-01-18 | 广州正虹科技发展有限公司 | Air quality monitoring system |
| CN107315422A (en) * | 2017-07-29 | 2017-11-03 | 南京白云环境科技集团股份有限公司 | Air automatic detection and sample-leaving system based on unmanned plane |
| KR101936586B1 (en) * | 2017-11-08 | 2019-04-09 | 한국건설기술연구원 | System for mapping river water-bloom map using data for detecting by gps-based random sampling, and method for the same |
| CN111812268A (en) * | 2019-04-11 | 2020-10-23 | 苏州臻迪智能科技有限公司 | Monitoring method, control device, unmanned aerial vehicle and unmanned aerial vehicle system |
| CN110654539A (en) * | 2019-10-12 | 2020-01-07 | 董波 | Ancient building monitoring protection system |
| CN112098614A (en) * | 2020-08-25 | 2020-12-18 | 江苏裕和检测技术有限公司 | Water quality detection system and detection method for improving detection accuracy |
| CN112034108A (en) * | 2020-09-16 | 2020-12-04 | 上海市环境科学研究院 | Device and method for analyzing regional pollution condition and computer readable storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114459538A (en) * | 2022-01-21 | 2022-05-10 | 南京数之信市场研究有限公司 | Unmanned aerial vehicle remote sensing inspection method and system for garbage classification point |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112418609B (en) | Surface-grid-point-based accurate tracing method for secondary atmospheric pollution | |
| CN112437876B (en) | Method and system for improving objectivity of atmospheric pollutant monitoring data | |
| Mahato et al. | Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India | |
| CN107764765B (en) | Monitoring system and method for atmospheric pollution | |
| CN205898761U (en) | Air quality monitoring system | |
| CN111461945A (en) | Intelligent environment-friendly management platform | |
| CN109489978B (en) | Multi-source data correlation analysis method of diesel locomotive multi-emission detection method based on V-a working condition | |
| GB2580217A (en) | Method of determining false negative rate of mobile monitoring and requisite number of mobile monitoring vehicles | |
| CN111122171B (en) | Multi-source heterogeneous data correlation analysis method for diesel vehicle and diesel engine multiple emission detection method based on VSP working condition | |
| Zhong et al. | The Pearl River Delta regional air quality monitoring network-regional collaborative efforts on joint air quality management | |
| CN111811572A (en) | Ship exhaust emission real-time monitoring method based on big data | |
| CN113375985A (en) | Method for collecting greenhouse gas detection samples for landfill treatment of urban household garbage | |
| CN102289656A (en) | Method for calculating effect of traffic flow on city pollution | |
| CN115455248A (en) | Urban carbon emission monitoring method based on data analysis | |
| CN112541255A (en) | Automatic recognition system and recognition method for atmospheric pollution emission source | |
| CN111060654A (en) | Unmanned aerial vehicle atmospheric pollution real-time supervision early warning platform based on digital twin | |
| CN115060850B (en) | Air-ground double-field coupling atmospheric pollution source tracking and flux measuring device and method | |
| CN116596402A (en) | Air quality research and judgment, pollution tracing and emergency management and control suggestion generation method and system | |
| CN117007476A (en) | Environment-friendly intelligent terminal data acquisition system based on Internet of things | |
| CN116754719A (en) | Urban area carbon emission detecting system | |
| CN115902114A (en) | Small-scale atmospheric pollution tracing method based on semi-quantitative method | |
| CN109059870A (en) | Boiler Air Pollutant Emission supervisory systems and method for inspecting based on unmanned plane image | |
| CN114663044A (en) | Intelligent remote sensing environment monitoring system | |
| Lonati et al. | The actual impact of waste-to-energy plant emissions on air quality: a case study from northern Italy | |
| CN111060653A (en) | Atmospheric pollution real-time supervision early warning unmanned aerial vehicle based on digital twin |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210910 |
|
| RJ01 | Rejection of invention patent application after publication |