28 results about "Monsoon" patented technology

The invention discloses an inland area TRP feature recognition and evaluation method based on data driving and numerical simulation, a medium and a program product, and relates to the technical field of meteorological disaster monitoring and early warning and numerical simulation. And objectively identifying a TRP event which occurs outside the typhoon circulation and is connected with the strong water vapor conveying belt by combining the typhoon peripheral circulation radius, the distance constraint and the whole-layer water vapor conveying flux. Key physical fields such as whole-layer water vapor flux, water vapor income and expenditure, dry invasion and monsoon water vapor surge are diagnosed by utilizing a regional numerical mode and reanalysis data, and a characteristic index set reflecting typhoon, monsoon and dry and cold air coupling influence is formed; on the basis, a data-driven learning algorithm is introduced, a TRP occurrence and rainstorm intensity grading recognition model is obtained through training, a risk assessment product is generated through calibration and risk grading, and therefore the inland typhoon long-distance rainstorm recognition and assessment capacity is improved.

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.

The present invention discloses a method for cultivating Armand pine seedlings in a container during the rainy season, lasting 100 days. The method is located in the subtropical humid monsoon climate zone of southern Sichuan Province, at an altitude of 2,000 to 2,800 meters. The method includes preparing a seedbed, preparing a light substrate, filling the container, germinating the seeds, sowing, and managing the seedlings during the seedling stage. The method utilizes concentrated summer rainfall to support the growth of Armand pine seedlings. The seedling cultivation period is shortened to 90 to 100 days, allowing for the cultivation of high-quality Armand pine seedlings locally within the afforestation site. This method addresses the problem of low afforestation survival rates.

The present application relates to the technical field of marine environment monitoring, in particular to a kind of network layout design method for exchange area sea environment observation of submarine and buoy, comprising: the core channel coordinate set of Indonesian through flow is extracted by multi-scale process identification algorithm, the spatiotemporal distribution matrix of Java upwelling intensity and monsoon influence weight coefficient;Based on observation platform adaptation model, typical marine process characteristic parameters are matched with sensitive sea area operation constraint condition, and platform type combination scheme is generated;Fixed-mobile platform joint data transmission link is constructed, and the topology graph of collaborative observation strategy is output;Using nested observation optimization algorithm, according to the characteristics of core channel area, upwelling area and monsoon influence area, high, medium and low sampling frequency are configured, and multi-resolution nested layout scheme is generated.The present application can realize the unity of spatial partition refinement, platform configuration collaboration and data acquisition high adaptability, and significantly improve the coverage integrity of Indo-Pacific exchange area sea environment observation network.

The utility model discloses a tunnel fan supporting structure suitable for high-altitude strong monsoon climate, and belongs to the technical field of tunnel ventilation. Comprising four stand columns, four lower transverse supports, two or more upper transverse supports and two top beams, and the top beams extend in the length direction of the base frame and are fixed to the top ends of the stand columns; a plurality of mounting beams corresponding to the positions of fan supporting legs are fixedly welded above the top beam in the width direction of the foundation framework; and the mounting beam is fixedly connected with an upper flanged plate. The device is mainly manufactured by welding the I-shaped steel and the channel steel, is convenient to manufacture, has a stable structure, and can well adapt to severe weather in high-altitude and strong monsoon climate regions; the fan is well supported, it is guaranteed that the fan can normally operate under the extreme weather condition, and the air quality in a tunnel is guaranteed.

The invention discloses a round coal yard shutter adjusting device, and relates to the field of shutters, the round coal yard shutter adjusting device comprises an adjusting assembly, the adjusting assembly is installed in a shutter and used for stably adjusting the angle of shutter blades, the adjusting assembly comprises a plurality of gears which are vertically arranged side by side, each gear is correspondingly installed on each shutter blade, and the adjusting assembly is used for adjusting the angle of the shutter blades. The plurality of gears rotate to drive the plurality of louver blades to rotate, so that the angles of the louver blades can be adjusted and fixed; fixing shafts are arranged on the gears, the number of the fixing shafts on the multiple gears located in the middle is two, and the two fixing shafts on each gear are located on the two sides of the louver blades correspondingly; a connecting rod is arranged between every two adjacent gears, the two ends of each connecting rod are movably connected with the corresponding upper gear and the corresponding lower gear respectively, the multiple connecting rods drive the multiple gears to rotate synchronously, and the situation that due to the influence of sea wind and monsoon, the gears are corroded seriously, and rotation adjustment of the louver blades is not smooth is avoided.

The invention relates to the technical field of meteorological disaster forecasting, in particular to a deep learning-based monsoon heavy rainfall early warning system, which comprises an information acquisition module for collecting historical multi-source meteorological data in a to-be-predicted region, analyzing the historical multi-source meteorological data to obtain structured data containing meteorological elements, screening the structured data, and sending the screened structured data to a prediction module; selecting monsoon heavy rainfall examples, marking the monsoon heavy rainfall examples, and then preprocessing the structured data to obtain historical structured data; the model training module is used for constructing a deep learning model based on ConvLSTM architecture and training the deep learning model by using historical structured data to obtain a trained heavy rainfall prediction model; the method has the advantages that the structured meteorological data is utilized, contribution of key meteorological elements to heavy rainfall is analyzed, and key potential indexes and threshold values thereof are screened, so that effective forecasting of monsoon heavy rainfall is realized, and forecasting accuracy and reliability are improved.

The invention discloses a cooling greenhouse for summer planting. The cooling greenhouse comprises a greenhouse frame, a covering film, a ventilation system, an irrigation system and a temperature and humidity sensor. The covering film covers the top and the side faces of the greenhouse frame, and the covering area is larger than or equal to 85%. The ventilation systems are installed on the left and right sides of the greenhouse frame, the irrigation system is located at the bottom, and temperature and humidity sensors are distributed at multiple points of the top, four corners and middle key areas of the greenhouse. The covering film adopts a flexible radiation cooling composite diaphragm, the photosynthetically active radiation PAR transmissivity is greater than or equal to 92%, the near-infrared reflectivity is greater than or equal to 88%, and the atmospheric window waveband infrared emissivity is greater than or equal to 90%. The composite diaphragm is of a PET-based multi-layer sandwich structure and is sequentially coated with a SiO2 layer, a PVDF layer, a silver layer and a PVDF layer, the total thickness is not larger than 150 nm, and full-wave-band spectrum regulation and control are achieved. The irrigation sensor, the ventilation sensor and the temperature and humidity sensor are linked with the control system, and environment parameters are dynamically regulated and controlled based on a preset threshold value. The greenhouse is suitable for planting photophilous and high-temperature-avoiding crops in tropical monsoon regions, the comprehensive temperature reduction reaches 8-10 DEG C, and the crop yield is increased by 22% or above.

The invention 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. Defining a monsoon surge and dry invasion diagnosis domain under the reference system, and respectively calculating a dynamic monsoon surge index DMSI and a whole-layer dry invasion index IDII; performing normalized collaborative identification on the two indexes, and generating a fusion prior constraint field for space weighting and time window constraint by combining environment diagnostic quantities such as whole-layer water vapor flux and the like; a constraint field is introduced into numerical mode integration, directional correction is carried out on a mode precipitation field, and high-resolution spatial-temporal distribution of landing typhoon extreme precipitation is output. According to the method, expression and application of a dry intrusion-monsoon surge-landing typhoon maintenance coupling mechanism in numerical calculation can be enhanced, and the capability of simulating and predicting ERLTC space-time occurrence and strength is improved.

This invention discloses a spatial simulation method and system for the relative humidity field during the rainy season, comprising: acquiring the monthly relative humidity baseline field of the dry season reference month, the annual relative humidity baseline field, and the reference monthly relative humidity and the relative humidity of the month to be simulated at meteorological observation stations; calculating the monthly anomaly baseline field of the reference monthly relative humidity; acquiring the monthly anomaly baseline value and the annual relative humidity baseline value of the reference monthly relative humidity at the meteorological observation station, and calculating the monthly relative humidity anomaly and anomaly difference of the meteorological observation station in the reference month; acquiring the monthly relative humidity anomaly difference field of the reference month and the non-monsoon influence field of the relative humidity anomaly of the month to be simulated; calculating the monsoon influence of the relative humidity anomaly of the month to be simulated at the meteorological station, and after acquiring the monsoon influence component field of the relative humidity anomaly of the month to be simulated, calculating the relative humidity field of the rainy season month to be simulated. This invention can improve its application level in the fields of ecology, forestry, agriculture, and natural disaster monitoring and early warning.

The rainwater recycling system mainly comprises a rainwater collecting field, an outdoor rainwater pipeline, a rainwater discarding well, a rainwater collecting pool, a rainwater recycling main pipeline, a terrace crop irrigation pipe network and a traditional water source main pipeline. The system is characterized in that a rainwater collection field is mainly used for collecting rainwater, the rainwater is collected to a rainwater discarding well through an outdoor rainwater pipeline, and after discarded clean rainwater enters a rainwater collection pool to be settled, the clean rainwater enters a rainwater recycling main pipeline and then enters a terrace crop irrigation pipe network to be recycled; a traditional water source serves as a standby water source, and the whole system is controlled by an electric control cabinet. According to the utility model, the irrigation problem of dry land terraced field crops can be solved by effectively utilizing the collected rainwater, and the water-saving irrigation system is a novel water-saving irrigation project; meanwhile, the system is simple in composition and working principle, easy to maintain, safe and reliable, and convenient for large-scale application and popularization of dry terraces in regions with temperate monsoon and subtropical monsoon climate.

The application discloses a flight method for a fixed-wing unmanned aerial vehicle to collect ascending air flow on mountain terrain by using monsoon climate, and the method comprises the following steps: firstly, a numerical simulation method is used to pre-calculate the wind speed of a region of interest, and weather conditions capable of utilizing the ascending air flow are determined, i.e., the monsoon speed when the unmanned aerial vehicle is capable of flying without energy consumption; then, a suitable flight time is determined, and PID control method is used to adjust the flight control parameters of the unmanned aerial vehicle according to the mathematical equation of the dynamic system of the unmanned aerial vehicle, so that the unmanned aerial vehicle can keep stable horizontal flight, and the heading direction of the unmanned aerial vehicle tends to be opposite to the monsoon direction; and finally, in actual flight, an extended Kalman filter is used to estimate the ascending air flow, and the energy gain in the task execution process is analyzed by quantifying the flight data. The application can utilize the ascending air flow to perform long-endurance flight, saves a large amount of resources, and verifies the feasibility of collecting wind energy in the flight process, thereby providing experience support for developing new ascending air flow.

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 invention discloses a broadband cold-carrying enthalpy-increasing household moisture source heat pump which is characterized in that a subtropical monsoon climate zone, a temperate monsoon climate zone, a temperate continental climate zone and a mediterranean climate zone covered by the earth are frosted in wet and cold weather and lose a heat supply effect. In order to solve the problem that centralized heating cannot be achieved under the condition that the building occupancy rate is low, in particular, the problem that centralized heating cannot be achieved under the condition that the building occupancy rate is low becomes the worldwide problem, the invention is technically characterized in that a moisture source absorption tower and an indoor silencing cold-carrying heat pump are combined, the wide-band three-level enthalpy difference is fully utilized to absorb low-temperature potential energy given to the earth by the sun in wet and cold and dry and cold weather, the low-temperature potential energy serves as an indoor silencing cold-carrying heat pump to improve heat supply, centralized heat supply is simplified into household long-acting direct heat supply or refrigeration, heat energy loss in the intermediate link is avoided, and the heat supply efficiency is improved under the condition that no municipal centralized heat supply subsidy heat supply exists. 30% of operation cost of municipal standard heating payment can still be reduced, and therefore technical upgrading of a traditional household air source heat pump is carried out.

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 invention discloses a building unit radiation moisture source heat pump system which belongs to monsoon climate zones, temperate zone continental climate zones and mediterranean climate zones of subtropical zones and temperate zones covered by the earth, and a traditional air source heat pump is frosted in wet and cold weather and loses the heat supply effect. In order to solve the industrial problem that centralized heating cannot be implemented under the condition of low occupancy rate of a newly developed building, the invention is technically characterized in that a radiation gas source tower, a heat storage tank, a long-acting heat supply device and a building unit form a building unit economic heat supply system; solar radiant heat is fully absorbed when the occupancy rate is low, a wet and cold heat source is absorbed by the three-section enthalpy increasing device when the occupancy rate is high and serves as a heat pump long-acting heat source to improve heat supply, centralized heat supply is simplified into building unit economical heat supply, heat energy loss of a large pipe network heat supply intermediate link is avoided, and the municipal large pipe network heat supply standard can still be met under the condition that heat supply subsidies do not exist.

The present invention relates to the field of tunnel ventilation technology, specifically to a monsoon-based tunnel inclined shaft ventilation and smoke exhaust equipment, comprising: a mountain, a first tunnel and a second tunnel; by connecting the exhaust duct with the exhaust air duct and the supply air duct with the supply air duct, it is convenient to discharge harmful exhaust gas and smoke in the first tunnel and the second tunnel through the exhaust duct, and to transport fresh air into the first tunnel and the second tunnel through the supply air duct; through the baffle installed inside the ventilation opening, when the external wind is strong, it is difficult for larger debris to enter the supply air duct, so as not to affect the normal use of the supply air duct; through the wind storage bin at the top of the inclined shaft, it is convenient to store wind when the external wind is strong; by controlling the air duct valves of the air inlet pipe and the air outlet pipe, the wind stored in the wind storage bin can be discharged when the external wind is weak, thereby improving the ventilation and exhaust effect, and even if a fire occurs in the tunnel at this time, the smoke exhaust effect of the tunnel can be guaranteed.

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.

The invention discloses a diversion and dispersion method for tunnel exit pollutants in the technical field of tunnel pollution discharge, which comprises a tunnel and air guide walls, the left and right sides 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 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 invention relates to the technical field of marine environment monitoring, in particular to an exchange area sea area environment observation-oriented submerged and buoy network layout design method, which comprises the following steps of: extracting an Indonesian through flow core channel coordinate set, a Java upwelling intensity space-time distribution matrix and a monsoon influence weight coefficient through a multi-scale process recognition algorithm; based on an observation platform adaptive model, matching the typical ocean process characteristic parameters with sensitive sea area operation constraint conditions to generate a platform type combination scheme; constructing a fixed-mobile platform joint data transmission link, and outputting a collaborative observation strategy topological graph; a nested observation optimization algorithm is adopted, high, medium and low sampling frequencies are configured according to characteristics of a core channel area, an upwelling area and a monsoon influence area, and a multi-resolution nested layout scheme is generated. According to the invention, unification of space partition refinement, platform configuration collaboration and data acquisition high adaptability can be realized, and the coverage integrity of the sea environment observation network of the Phitai exchange area is significantly improved.

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.