12 results about "Monsoon" patented technology

The invention discloses a forest fire danger early warning system and method based on meteorological and vegetation data analysis, and relates to the technical field of fire risk prediction and control. According to the forest fire danger early warning system and method based on meteorological and vegetation data analysis, fine grid division is carried out on a target forest area through a high-resolution DEM and a multispectral or hyperspectral image, and vegetation type identification is carried out on each monitoring subunit; calculating a wet-dry cycle index WDI, a monsoon effect index MFI and a dry thunderstorm risk factor DRF by combining hourly wind speed, wind direction, relative humidity, precipitation and vapor pressure difference meteorological data; through extracting canopy height, canopy density, under-forest shrub and grass layer thickness and high VOC tree species coverage rate, fuel continuity coefficient FCI and volatile matter flammability index VEI are calculated, and accurate quantification of continuity and flammability of vertical ladder fuel and horizontal canopy is realized. And a comprehensive fire danger index FFI is constructed and subjected to hierarchical management after judgment, so that the dynamism, the hierarchical property and the pertinence of fire danger early warning are realized, and the forest fire danger prevention and control precision and the patrol resource utilization efficiency are improved.

This invention discloses a precise fertilizer control method for in-situ monitoring of ammonia volatilization in dryland rice fields. It relates to the interdisciplinary field of dryland rice cultivation and farmland ecological environment protection. Combining the subtropical monsoon climate characteristics of major dryland rice producing areas with the coupled water and nitrogen requirements of dryland rice at different growth stages, it constructs an in-situ monitoring system for ammonia volatilization in dryland rice fields based on the sponge method for measuring ammonia nitrogen, with a two-factor synergy of "water source model - nitrogen application system". This invention focuses on the core characteristics of acidic red / yellow soil, low organic matter content, and subtropical monsoon climate in major dryland rice producing areas, characterized by waterlogging during the rainy season and drought during the dry season. By optimizing the synergistic parameters of "water source model - nitrogen application level", it reduces ammonia volatilization by more than 20%. Simultaneously, through the rational combination of organic fertilizer and amino acid fertilizer, it effectively increases soil pH by 0.2-0.3 units, alleviating the acidification trend of acidic soils, improving soil physicochemical properties, and breaking the vicious cycle of "high ammonia volatilization - inefficient nitrogen application - soil acidification".

The utility model discloses a special shed frame for railway lines of iron and steel enterprises, which belongs to the technical field of iron and steel production and comprises a plurality of pairs of vertical rods, a ceiling support is arranged between the tops of each pair of vertical rods, and a connecting rod is arranged between every two adjacent pairs of vertical rods. A base is arranged at the bottom of each vertical rod, each base comprises a horizontally-arranged floor board, a fourth inserting rod is arranged on the lower surface of each floor board, a fixing rod is arranged on the upper surface of each floor board, and the fourth inserting rods and the fixing rods are located on the same straight line; the upper end of the fixing rod is connected with the lower end of the vertical rod through a plug connector; each ceiling support comprises two second main rods, one ends of the two second main rods are fixedly connected with the third inserting rods, and the other ends of the two second main rods are connected with the upper ends of the vertical rods. According to the utility model, the problem of uneven ground faced by a shed frame environment on a railway line and the problem of insufficient installation stability caused by the uneven ground are solved; meanwhile, the technical problem that under the severe weather conditions such as monsoon and rain and snow, the shed frame is prone to collapsing is solved.

The application relates to the technical field of meteorological disaster risk assessment and computer numerical simulation, and discloses an ERLTC high-resolution numerical simulation prediction method based on IDII and DMSI fusion driving, a medium and a program product, which comprises the following steps: acquiring multi-source data, constructing a typhoon center random motion dynamic reference system, defining a monsoon surge and a dry intrusion diagnostic domain under the reference system, and respectively calculating a dynamic monsoon surge index DMSI and an integral layer dry intrusion index IDII; performing normalization and collaborative identification on the two indexes, combining environmental diagnostic quantities such as integral layer water vapor flux to generate a fusion prior constraint field used for spatial weighting and time window constraint; introducing the constraint field in numerical mode integration, implementing directional correction on a mode precipitation field, and outputting high-resolution space-time distribution of landing typhoon extreme precipitation. The application can strengthen the expression and use of the dry intrusion-monsoon surge-landing typhoon maintenance coupling mechanism in numerical calculation, and improve the simulation and prediction ability of ERLTC space-time occurrence and intensity.

The invention provides a geographic constraint and space-time decoupling mechanism fused wind speed correction method applied to wind power prediction, and relates to the technical field of wind power prediction. The method comprises the following steps: clustering wind power cluster stations by adopting a flow field space clustering method fused with geographic constraints; based on a clustering result, adopting a conditional random field model with a space-time decoupling mechanism to carry out collaborative correction on the numerical weather forecast wind speed; and on the basis of a clustering result and the corrected wind speed, constructing a heterogeneous graph containing various types of nodes and edges, and performing wind power prediction by adopting a multi-feature fusion heterogeneous graph neural network model. According to the method, the description precision of regional wind speed evolution characteristics can be remarkably improved, multi-station wind speed collaborative correction is realized, and high robustness is kept in complex weather scenes such as cold tide and monsoon switching, so that the day-ahead wind power prediction precision is effectively improved. The method is suitable for dispatching operation and consumption analysis of a high-proportion new energy power grid, and has high applicability and engineering practicability.

The application discloses a kind of based on Fengyun polar orbit meteorological satellite South China Sea summer monsoon double-index monitoring method, this method obtains 850hPa atmospheric temperature and specific humidity by polar orbit meteorological satellite FY-3D vertical detection instrument group VASS, 850hPa false equivalent potential temperature index is calculated;Ocean surface wind speed and wind direction are obtained by ocean surface wind field data of the wind field measurement radar WindRAD inversion of polar orbit meteorological satellite FY-3E, average zonal wind index is calculated;By evaluating the accuracy of FY-3D / VASS temperature and specific humidity relative to ERA5, and the accuracy of ocean surface wind of FY-3E / WindRAD relative to MetOp-C / ASCAT is evaluated index, the accuracy of the double-index monitoring South China Sea summer monsoon outbreak process is verified from the evaluation result.The application uses FY-3D to calculate false equivalent potential temperature and FY-3E ocean surface wind double-index monitoring South China Sea summer monsoon, double-index is well monitored 2022 South China Sea summer monsoon outbreak process temperature and humidity field and wind field conversion, so as to verify the application ability of two kinds of satellite data in South China Sea summer monsoon climate monitoring.

This invention discloses a construction method for a steel-framed pitched roof tile structure, comprising the following steps: S1: construction preparation; S2: installation of water-coiling strips; S3: installation of wooden sheathing boards; S4: installation of tile strips; S5: roof tile installation; S6: detailed node treatment. Considering the geographical environment and the influence of monsoons and the vortex-induced updraft pressure generated by the winds from multiple buildings in a large high-rise residential area, this application uses galvanized square steel as water-coiling strips and tile strips, employing welded connections to enhance the overall strength of the roof tiles and improve their stability. Wooden sheathing boards are used to fill the gaps between the water-coiling strips instead of precast concrete slabs, reducing the roof load and decreasing the steel consumption of the roof steel frame. This application's pitched roof tile technology clearly defines standardized steps and quality control requirements from layout and frame installation to tile laying, ensuring the safety, stability, and reliability of the roof tiles.

The application discloses a kind of inland area TRP feature identification and evaluation method, medium and program product based on data driving and numerical simulation, it is related to meteorological disaster monitoring and early warning and numerical simulation technical field, by comprehensively utilizing precipitation observation, tropical cyclone path, reanalysis and other multi-source data, in combination with the radius of typhoon peripheral circulation, distance constraint and whole layer water vapor transport flux objectively identify the TRP event occurring outside typhoon circulation and connected with strong water vapor transport zone.Combining the radius of typhoon peripheral circulation, distance constraint and whole layer water vapor transport flux objectively identify the TRP event occurring outside typhoon circulation and connected with strong water vapor transport zone.Using regional numerical model and reanalysis data, the key physical fields such as whole layer water vapor flux, water vapor budget, dry intrusion and monsoon water vapor surge are diagnosed to form a set of characteristic indexes reflecting the coupling influence of typhoon, monsoon and dry cold air;On this basis, a data-driven learning algorithm is introduced to train a TRP occurrence and heavy rain intensity classification identification model, and a risk assessment product is generated through calibration and risk classification to improve the identification and evaluation capability of inland typhoon long-distance rainstorm.

The application discloses a forest fire risk early warning system and method based on meteorological and vegetation data analysis, relates to the technical field of fire risk prediction and control, and achieves the following effects: through high-resolution DEM and multi-spectral or hyperspectral images, a target forest region is finely divided into grids, and the vegetation type of each monitoring subunit is identified; combined with hourly wind speed, wind direction, relative humidity, precipitation and vapor pressure difference meteorological data, a wet-dry cycle index WDI, a monsoon effect index MFI and a dry thunderstorm risk factor DRF are calculated; through extraction of crown height, canopy density, undergrowth shrub and grass layer thickness and high VOC tree coverage, a fuel continuity coefficient FCI and a volatile flammable index VEI are calculated, accurate quantification of vertical ladder fuel and horizontal crown layer continuity and flammability is realized; a comprehensive fire risk index FFI is constructed and determined for hierarchical management, so that the dynamicity, hierarchy and pertinence of fire risk early warning are realized, and the forest fire risk prevention and control precision and the patrol resource utilization efficiency are improved.

The utility model discloses a diversion dispersing system for tunnel exit pollutants in the technical field of tunnel pollution discharge, which comprises a tunnel and air guide walls, the left side and the right side of the tunnel are respectively provided with one air guide wall, through the design of the air guide walls, transverse wind power outside a tunnel entrance can be guided, and the monsoon wind direction of a sea area is generally stable. The wind guide walls are installed on the rails in a sliding mode through the wheel sets and can retract into the equipment gallery, so that the monsoon guide range is adjusted, according to the Bernoulli equation principle, monsoon bypasses when meeting resistance, the wind speed is greatly increased, the higher the wind speed is, the lower the pressure is, and therefore pollution airflow, close to the ground, in the wind guide walls on the two sides is sucked upwards to form negative pressure cyclones. And on the basis of the Gaussian diffusion effect, a plurality of groups of transverse hedging guide fans and longitudinal hedging guide fans are additionally arranged to hedge and pressurize air mixed with pollutants at the tunnel exit, so that vitiated air overflowing from the tunnel entrance is more easily extruded to the high altitude, and the effect of rapidly reducing the concentration of the pollutants around the tunnel is achieved.

This invention discloses a method for modeling and dynamically controlling a distributed collaborative operation process for a group of fishery equipment, belonging to the field of smart fisheries and multi-agent collaborative control technology. Addressing the challenges of significant monsoon climate, variable sea conditions, and difficulties in coordinating heterogeneous equipment in deep-sea aquaculture, this invention constructs an environmentally coupled generalized stochastic Petri net model that includes an environmental constraint library and a sea state inhibition arc, embedding real-time sea state data into the model's topology. Color token coloring and guard functions are used to achieve differentiated equipment management based on wavekeeping levels. A dynamic nonlinear function for transition triggering rates is established based on wave spectrum parameters. Environmental deadlocks are identified and trigger risk avoidance and retreat transitions through a state reachability graph. The collaborative process is modeled as a semi-Markov decision process to achieve multi-objective optimization. This invention significantly improves the operational safety and continuity of heterogeneous equipment groups under complex sea conditions.

The invention provides a global sea surface temperature prediction method and system based on knowledge and data coupling. The method comprises the following steps: firstly, constructing an OKG (Ocean Knowledge Graph) containing five entities including ocean currents, climate zones, monsoon systems, regions and special sea areas, and embedding and learning the structure and semantic information of the OKG through the knowledge graph; secondly, in the time sequence feature coding step, time sequence features of multi-region SST observation data are extracted, and fine-grained alignment of ocean knowledge and observation data is achieved through a cross-modal attention mechanism; and then, inputting the fused multi-modal representation into a pre-trained large language model so as to carry out space-time mode modeling and temperature trend prediction. And finally, a sea surface temperature prediction result at multiple moments in the future is generated by using a Transform decoder. According to the method, numerical observation and domain knowledge can be fused, precision, interpretability and global adaptability are considered, and high-reliability sea surface temperature intelligent prediction is achieved.