60 results about "Climate zones" patented technology

The invention discloses a high-yield gastrodia elata planting method based on Tilia brachypoda fungus material optimization and seed ramie stress resistance activation. According to the high-yield gastrodia elata planting method based on Tilia brachypoda fungus material optimization and seed ramie stress resistance activation, yield increase and quality improvement are achieved through fungus material composite strengthening treatment and a composite strain synergistic inoculation technology. The method comprises the following steps: (1) fermenting a tilia brachypoda substrate by lactobacillus plantarum and soaking in a nano-composite nutrient solution to form a high-activity bacterial material; (2) nitrogen-fixing bacteria, disease-resistant actinomycetes and armillaria mellea are mixed and inoculated according to the proportion of 3: 1: 1, nitrogen supply is improved, and the occurrence rate of black rot is reduced; 3) activating a GASA stress-resistant gene of the seed hemp through a pulsed electric field (5 kV / cm, 10 microseconds), and enabling the germination rate to reach 88.5% in combination with a calcium signal channel strengthening technology; according to the method, the yield per mu of gastrodia elata is increased by 30%-40%, the gastrodin content is increased by 30% or above, the chemical pesticide dosage is reduced by 55%, the strain passage purity is stable, the method is suitable for large-scale planting in multiple climate areas, and an innovative solution is provided for green production of traditional Chinese medicinal materials.

An air cooling system for an electric vehicle charge cable includes a compressed air supply, at least one filter, at least one dryer and a super cooler subsystem for chilling compressed air from the compressed air supply. A coupling on the charging cable supplies the chilled compressed air to the charging cable. The system is configured to maintain an exterior surface of the charging cable below a predetermined temperature during vehicle charging. The system further includes a routing structure directing the chilled compressed air to flow back to a charging station to maintain the charging cable at a temperature of no more than a predetermined temperature. The system may operate in closed loop mode that is based on geographic climate zone. A method for air cooling an electric vehicle charging cable is also disclosed.

The application discloses an engineering cost scheme intelligent comparison and selection method and system for fabricated buildings, and belongs to the technical field of fabricated building engineering; the application comprises collecting multi-dimensional basic data of a whole life cycle of a fabricated building project, and performing pretreatment operation on the multi-dimensional basic data to generate model input data; the application realizes scientific quantification and empowerment of multi-dimensional cost influence factors such as a component standardization rate, a transportation radius and assembly efficiency in combination with an analytic hierarchy process, completely discards a traditional mode relying on experience judgment of cost personnel, greatly reduces subjective errors of comparison and selection results, can adapt to differentiated needs of fabricated buildings in different climate zones and different building types, provides scientific and accurate digital support for cost scheme decision of fabricated building projects, and effectively meets the scheme decision needs of rapid iteration of fabricated buildings.

The invention discloses an exposed high and steep slope microtopography reconstruction method for improving vegetation colonization ability, which comprises the following steps: screening rocks with high weathering sensitivity, and establishing a weathering rate quantitative evaluation model; the weathering process of the rock with high weathering sensitivity is accelerated; constructing a micro-topographic space; based on the micro-topographic space, designing a three-stage compound matrix through the nutritional defects of the weathered product of the high-weathering-sensitivity rock, and carrying out layered fusion on the three-stage compound matrix and the micro-topographic structure; and carrying out vegetation planting and weathering-growth synergistic maintenance. According to the method, permeation of a weathering agent is guided through preset cracks, rock is converted into a nutrient matrix through an enhanced weathering technology, and the problem that traditional physical transformation depends on an external matrix and is prone to being deficient in the later period is solved; according to the method, the climate areas are graded, different treatment is conducted on the different climate areas according to the grading result, the water retention rate of the arid area is increased, the drainage efficiency of the wet area is improved, the overall structure is still stable when the gradient is larger than 60 degrees, and the gradient limitation of vegetation bags is broken through.

The invention discloses a control method for a refrigeration house refrigeration system, and relates to the technical field of refrigeration system automatic control, climate domain division and domain self-adaptive prediction models are introduced, and the control robustness and adaptability of the refrigeration house refrigeration system in a multi-climate-region environment are remarkably improved; according to climate domain division, refrigeration houses are grouped based on external climate characteristics, so that the model can focus on a specific climate mode, and deviation caused by data distribution differences is reduced; domain adaptive training enables the prediction model to learn cross-domain shared characterization through a feature alignment mechanism, so that accurate energy consumption and temperature prediction can be maintained in cold or hot regions, and the problem of failure of a traditional single model in local climate is avoided; the optimization control part is combined with a rolling time domain strategy and a climate perception algorithm, actuator parameters are dynamically adjusted, it is ensured that under the sudden load or extreme weather, energy consumption and temperature stability can still be balanced, the defrosting frequency and equipment stress are reduced, and the service life of the system is prolonged.

The invention discloses a cooling tower water saving technology based on sky radiation, and belongs to the technical field of building energy saving and water resource recovery. The system comprises an indirect evaporative cooler and an air water taking device with a sky radiation plate. The core innovation of the invention lies in that an air water taking device is additionally arranged at an evaporative cooling exhaust position, and the device utilizes a sky radiation plate to condense and take water from high-humidity air discharged by an evaporative cooler, and even can directly condense and take water from ambient air by utilizing a sky radiation cooling effect under the condition of an excellent'atmospheric window '. Collected water converges into the system water tank, cyclic utilization of water resources of the evaporative cooling system is achieved, and sustainability and comprehensive water utilization benefits of the evaporative cooling system can be remarkably improved (especially in a dry and hot climate zone).

The invention relates to the technical field of analysis and testing, in particular to a radiation refrigeration coating performance intelligent monitoring method and system.The radiation refrigeration coating performance intelligent monitoring method comprises the steps that multi-source monitoring data, coating preparation parameters and climate zone parameters of a radiation refrigeration coating are obtained; polarization optical analysis is carried out on data related to optics in the multi-source monitoring data, and a coating performance measured value of the radiation refrigeration coating is calculated based on a polarization optical analysis result. Inputting the multi-source monitoring data, the coating preparation parameters, the polarization optical analysis result, the coating performance measured value and the climate zone parameters into a pre-trained physical constraint deep neural network model to obtain a coating performance predicted value; correcting the climate zone parameters to obtain climate zone correction parameters, constructing a multi-climate zone differential degradation dynamic model according to the climate zone correction parameters, and inputting the coating performance measured value into the multi-climate zone differential degradation dynamic model to obtain the coating performance attenuation trend and the remaining service life. And generating a radiation refrigeration coating performance monitoring report.

The invention discloses a rainfall prediction method based on climate zoning and an LGBM model, and relates to the technical field of meteorological processing, and the method comprises the steps: obtaining rainfall associated multi-source data covering a target area, and constructing a structured original data set; dividing the structured original data set according to a climate zoning rule of a target area and carrying out precipitation scene exclusive data preprocessing to generate a standardized precipitation modeling data set of each climate area; based on the standardized rainfall modeling data set of each climate region, training an LGBM rainfall prediction model, and generating an optimal rainfall prediction model matched with each climate region; and obtaining rainfall related data of a target area in a to-be-predicted time period, dividing the rainfall related data according to climate regions, respectively inputting the corresponding optimal rainfall prediction models, generating rainfall prediction results of the climate regions, and fusing the rainfall prediction results according to spatial positions to form a complete rainfall prediction distribution diagram of the target area. And through model adaptation optimization of precipitation multi-source associated data fusion, a precipitation prediction scheme adapted to complex climate and topographic features is formed.

The application discloses a kind of building window wall combination sunshade effect performance evaluation method and system, belong to building sunshade technical field.Aiming at the single dimension of existing wall sunshade evaluation method, not combined with climate zone and orientation difference, cannot distinguish summer sunshade and winter heat demand contradiction problem.This application constructs climate zone-orientation-season three-dimensional dynamic correction system to determine index limit and correction coefficient by collecting target building basic evaluation information;Seasonal, get sunshade performance parameters by orientation;Quantitative score is obtained based on index limit, correction coefficient and performance parameters to get single-season single-orientation index score;After weighted calculation, building overall comprehensive score is obtained and performance grade is divided.The application realizes three-dimensional dynamic accurate evaluation of seasonal, orientation, climate zone, and solves the problem of large deviation between traditional evaluation and actual working condition.

This invention discloses a method and temperature monitoring system for assessing the intensity and stability of cooling in urban forests. The method includes: collecting basic forest data in various local climate types; calibrating the spatial distribution of temperature data across multiple time periods based on parameter calibration data and temperature monitoring data; calculating the intensity and stability of the cooling effect of urban forests based on urban forest attribute data and calibrated temperature monitoring data; standardizing the intensity and stability of the cooling effect of urban forests; analyzing the driving mechanisms that cause the intensity and stability of the forest cooling effect; and constructing a spatial distribution map of urban vulnerable forest patches. Based on the spatial distribution map of urban vulnerable forest patches, optimization schemes for urban forests in different local climate zones are formulated. This invention proposes differentiated tree species configuration, structural optimization, and spatial transformation schemes for different local climate zones and synergistic types, achieving synergistic maximization of cooling benefits with limited resources.

The invention discloses an evaluation method and system for an inner layer structure of a multifunctional integrated enclosure structure under an intermittent working condition, and the method comprises the steps: constructing a secondary evaluation index of the inner layer structure of the multifunctional integrated enclosure structure according to a building climate region to which an enclosure structure to be evaluated belongs, and integrating the building climate region into the construction of an index system, through a dynamic weight distribution technology, evaluation key points are automatically adjusted along with climate zone changes, the universality defect of traditional evaluation is overcome, dynamic heat and humidity coupling simulation and aging simulation are carried out on an inner layer structure of a multifunctional integrated enclosure structure under an intermittent working condition, the limitation of continuous steady-state working condition evaluation is broken through, simulation results are scored, and the evaluation accuracy is improved. And calculating a first-level evaluation index of the reaction comprehensive performance according to a climate region differentiation weight distribution result, and evaluating the inner layer structure of the enclosure structure according to the first-level evaluation index of the reaction comprehensive performance and a quantitative scoring result comprehensive result, so that the evaluation result is ensured to be matched with the regional suitability, and the evaluation result is more accurate.

This invention relates to a design method for a medium-temperature chilled water centralized air conditioning system, belonging to the field of energy-saving air conditioning system design technology, and filling the gap in existing technologies for design methods of medium-temperature chilled water centralized air conditioning systems. The design method includes the following steps: S1, initial data extraction and initial judgment: determining whether adjustments to the selection and design of conventional fresh air handling units and fan coil units are needed; S2, calculating the indoor heat-to-moisture ratio and determining the air supply state point; S3, calculating the dehumidification capacity of the fresh air handling unit and fan coil units; S4, setting equipment selection parameters; S5, evaluating the dehumidification capacity of the fresh air handling unit; S6, evaluating the dehumidification capacity of the fan coil units; S7, determining the system supply water temperature. This invention can design medium-temperature chilled water centralized air conditioning systems with different operating conditions and determined supply water temperatures for different climate zones. Compared with normal temperature systems (7 / 12℃), the medium-temperature system has a higher evaporation temperature of the chiller unit, which can improve the system COP and achieve energy saving in air conditioning.

The invention discloses a building energy consumption simulation reference day generation method and system based on a global optimization algorithm, and belongs to the technical field of building energy conservation and green buildings. The system mainly comprises a standard reference day pre-training module and a user side rapid application module, the standard reference day pre-training module serves an offline stage, and the module calculates an optimal meteorological weight and a standard reference day set of a target climate zone by using a typical building and an optimization algorithm; the user side rapid application module serves an online stage and can help a user to directly call a standard reference day set to carry out rapid simulation, and complex weight calculation does not need to be carried out. According to the method, the parameterized energy sensitivity probe is constructed, the optimal meteorological weight vector is extracted from neighborhood interaction of the solution space by using the global optimization algorithm, and the standard reference day set capable of accurately reproducing long-period energy consumption characteristics is generated, so that high-precision and low-calculation-power building energy consumption prediction is realized.

The invention relates to the technical field of plant seed storage, and discloses a method for storing Magnoliaceae seeds. The method comprises the following steps: selecting an open earthen jar with the height of 50-80cm and without holes in the side wall; impurities in the new river sand with the particle size of 0.5-1 mm are screened out, and the new river sand is adjusted to be slightly wet and the surface of the new river sand is white; magnoliaceae seeds and sand are laid in a layered mode according to the volume ratio of 1: (5-10), 5-15 layers are formed, and the uppermost sand layer is 5-8 cm; the sand is placed in a shady, cool and ventilated indoor environment with the temperature of 0-28 DEG C, 5-10 mL / 100 cm of mist is sprayed to supplement water when the sand is dry, and the sand is kept in the state that the sand is slightly moist and the surface of the sand is white; low temperature, disinfection and any chemical agent are not needed in the whole process. The germination rate is stabilized at about 85% after 3-7 months. According to the method, electric energy is not needed, labor is reduced by 50%, the cost is only 1 / 5-1 / 3 of that of traditional low-temperature wet sand storage, materials can be recycled, ecological safety is achieved, operation is extremely easy, and the method is suitable for large-scale safe storage of Magnoliaceae seeds in south-north multi-climate areas.

This application relates to the field of energy efficiency management technology, and discloses a method, device, terminal, and storage medium for evaluating the energy efficiency of communication base stations. The method includes: determining the values ​​of various evaluation indicators characterizing the energy efficiency level of the base station based on multi-source operational data of the target communication base station; determining the objective weight coefficients of each evaluation indicator using a contrast and conflict coupling analysis method based on a sample set covering a pre-defined deployment scenario; obtaining a comprehensive energy efficiency score for the target communication base station based on the values ​​of each evaluation indicator and their corresponding objective weight coefficients; and determining the energy efficiency level of the target communication base station based on its comprehensive energy efficiency score, combined with the geographical climate zone, DC power supply load level, and building structure type of the equipment room. This application can achieve accurate evaluation of base station energy efficiency.

The application discloses a kind of high solid waste utilization rate outer wall self-insulation environmental protection block and preparation method thereof, especially suitable for the outer wall structure of low-rise building in severe cold area, with high compressive strength, low thermal conductivity, excellent frost resistance and safe environmental protection characteristics, including dense outer layer, transition layer and foamed core layer, the thickness of the foamed core layer 182mm, is the main body of heat preservation, closed porosity ≥80%, thermal conductivity ≤0.085W / (m·K);The transition layer is arranged outside the foamed core layer and each thickness is 3mm, for blocking thermal bridge, interface bonding strength ≥1.2MPa, thermal resistance value ≥0.15m²·K / W;The dense outer layer is arranged outside the transition layer and the thickness is 6mm, compressive strength ≥20MPa.The application realizes compressive strength ≥10MPa, thermal conductivity ≤0.085W / (m·K), solid waste utilization rate ≥80% by polymer recycled fiber reinforcement, layered composite design and CO2 carbonization process, block is adapted to severe cold to moderate climate zone, comprehensive cost is reduced by 40% compared with traditional external insulation system, with environmental protection, safety and economic benefits.

The invention relates to the technical field of flood forecasting and artificial intelligence, and is particularly suitable for a hydrological disaster early warning scene in a multi-climate area. The invention provides a multi-factor collaborative modeling adaptive LSTM network flood forecasting method based on hydrological mechanism difference of multiple climate regions and the current situation of frequent occurrence of extreme events. According to the method, through multi-source data preprocessing, climate-topographic feature cooperative calculation, adaptive gating adjustment, cross-region migration optimization and forecast result correction, high-precision forecast of flood in different climate regions is realized; the core of the method is to construct a climate-terrain-extreme event linkage feature system and a dynamic gating mechanism, solve the problems of poor adaptability and inaccurate extreme event prediction of a traditional model, and provide technical support for intelligent water conservancy disaster prevention and reduction.

The invention discloses an intelligent roof solar tracking optimization control system based on climate zone self-learning, and relates to the technical field of photovoltaic power generation, and the system specifically comprises the following modules: a multi-source sensing module, a preprocessing module, an edge control module, a regional climate self-learning module, a scene grouping module, and a regional transfer learning module. The method comprises the following steps: collecting real-time data through a multi-source sensor group, preprocessing the real-time data, and segmenting according to a fixed time window to generate a multi-modal time sequence window set; estimating the angle state of each roof photovoltaic panel based on the real-time data, and outputting the same number of tracking working mode decisions; dividing the current geographic region into climate regions, and performing online updating on the weight of the tracking working mode decision of the current geographic region based on an online learning framework; carrying out scene clustering on the real-time data based on climate zones, and matching and tracking working mode decisions for different scenes; and migrating parameters of the tracking strategy between similar climate zones and carrying out domain adaptive calibration.

The invention discloses a building envelope reinforcement learning optimization method fusing multi-modal data, and belongs to the technical field of building energy-saving design, and the method comprises the steps: collecting the multi-modal data, carrying out the preprocessing, constructing a multi-modal data set, carrying out the feature extraction of the multi-modal data, obtaining multi-modal features, constructing a multi-modal feature library, and carrying out the optimization of building envelope reinforcement learning. And obtaining a dynamic multi-modal feature library by utilizing a time sequence sliding window mechanism based on the multi-modal feature library, constructing a reinforcement learning intelligent optimization model, and obtaining an optimal building envelope parameter combination by utilizing the reinforcement learning intelligent optimization model based on multi-modal data. According to the method, static optimization is effectively upgraded to a dynamic adaptive scene, manual trial calculation is converted to data-driven autonomous optimization, universal optimization across building types and climate zones is achieved, and the problems that an existing building envelope optimization technology is single in data dimension, static in optimization mode, depends on artificial experience and is insufficient in universality are solved.

The application discloses a light BIPV waterproof and heat preservation integrated roof and a waterproof method thereof, and belongs to the field of building roofs. The structure comprises a photovoltaic module for converting solar energy into electric energy to realize energy self-sufficiency of a building, and a metal roof panel comprising a hem on both sides, a bonding platform arranged on the inner side of the hem, and a wave-shaped protrusion arranged in the middle. The photovoltaic module is arranged on the bonding platform. The roof structure can flexibly meet the demand of different climate zones on the heat transfer coefficient of the building roof, the waterproof frame can meet the high-grade waterproof requirement of the standard roof, the waterproof and heat preservation performance of the building roof is met, and the product is lightened and optimized, the roof weight is transmitted to the bearing wall of the building through the design of the embedded part assembly, and the roof can be more suitable for large-span space and the building roof with strict roof load requirements.

The application discloses an intelligent roofing solar tracking optimization control system based on climate zone self-learning, and relates to the technical field of photovoltaic power generation, and specifically comprises the following modules: a multi-source sensing module, a preprocessing module, an edge control module, a regional climate self-learning module, a scene scenario grouping module and a regional transfer learning module; real-time data is collected by a multi-source sensor group and preprocessed, a multi-modal time sequence window set is generated by fixed time window segmentation; the angle state of each roofing photovoltaic panel is estimated based on the real-time data, and the same number of tracking working mode decisions are output; the current geographical region is divided into climate zones, and the weight of the tracking working mode decision of the current geographical region is updated online based on an online learning framework; the real-time data is clustered based on the climate zones, the tracking working mode decision is matched for different scenes, the parameters of the tracking strategy are transferred between similar climate zones, and domain self-adaptive calibration is performed.

The invention discloses a water and soil conservation synergistic remediation and dynamic management and protection method for a slope, and belongs to the technical field of water and soil conservation ecological remediation. The method comprises the following steps: a slope system diagnosis step: dividing a slope into an upslope catchment area, a middle slope erosion area and a downslope accumulation area according to a gradient, and determining a restoration priority; a zoned collaborative remediation step: implementing collaborative measures according to the characteristics of each functional area, intercepting runoff in an uphill area by digging equal-height micro-ditches and planting shrub belts, fixing soil and fertilizing in a middle slope area by soil improvement, mixed sowing of grass and shrubs and laying of a covering layer, and stabilizing accumulation in a downhill area by digging fish-scale pits and reinforcing scour ditches; and a dynamic management and protection step: carrying out differential maintenance in three stages, namely an initial stage, a middle stage and a later stage, and gradually reducing manual intervention. According to the method, engineering measures and ecological restoration are coordinated, the problems of poor treatment effect persistence and high management and protection cost are solved, and the method has the advantages of being high in adaptability, easy and convenient to operate and low in cost and can be widely applied to slope water and soil loss treatment of different climate zones.

A non-invasive technique to measure exfiltration and infiltration (leakage) in buildings including a system and method employing RFN-BOS photography. Leakage through a building envelope can be visualized using RFN-BOS photography when the background has sufficient texture and the temperature difference between the leakage and ambient air is sufficient. Leakage can be detected when there is a temperature difference of as low as 12° C.-15° C. through CMU and brick claddings. A minimum ΔT detection limit can be reduced to 5° C. so that the RFN-BOS technique can be used through all climate zones, and use of a sufficiently textured cladding in which the contrast textural feature is at 1,650 or greater. If the cladding has insufficient texture, the system uses a projection system to first project a high contrasting image pattern on the cladding surface. Prioritized sealing of leaks is provided based on an order of their corresponding leak-ranking parameters.

The invention discloses a surface soil stripping maintenance method for a sub-alpine forest shrub climate region, and belongs to the technical field of railway engineering construction and ecological environment protection, and the method specifically comprises the steps of surface soil stripping, gradient sowing, layered stockpiling, dust screen covering, fertilization, dynamic monitoring, and acceptance and delivery. By constructing a three-dimensional maintenance system of covering sowing, layered stockpiling and dynamic fertilizer supplementing, the problem that a traditional method is insufficient in adaptability under the extreme climate of a sub-alpine forest shrub climate area is solved, efficient utilization of surface soil resources and rapid ecological restoration are achieved, and therefore the problems that after surface soil is stripped, quality is degraded, and vegetation restoration is difficult are solved; and coordinated development of engineering construction and ecological protection is guaranteed.

The invention belongs to the technical field of building carbon emission, and discloses a building full life cycle carbon emission estimation method, system and device and a storage medium. The method comprises the following steps: extracting original data, and identifying and cleaning dead pixel data in the original data to obtain valid data; based on the effective data and the key parameters, respectively adopting a least square method to carry out linear regression to establish a staged carbon emission estimation model, receiving query parameters input by a user, and utilizing the staged carbon emission estimation model to automatically match a corresponding formula group based on the query parameters, and substituting into calculation to obtain the total carbon emission of the corresponding building in the whole life cycle. According to the mode, the staged matrix calculation model is established by combining five key parameters including the building type, the climate zone, the building height, the building area and the number of the above-ground layers, and the carbon emission of the whole life cycle of the building can be quickly and accurately estimated.

The application discloses a kind of generation and dynamic updating method of housing safety risk image, and it is related to the technical field of housing safety risk assessment.The method comprises the following steps: obtaining the basic identification information of the old house to be evaluated and the historical environmental exposure data of the micro environment;Extract the daily exposure sequence of multiple degradation factors for multiple building components, and calculate the multi-dimensional environmental damage equivalent cumulative amount;Using the degradation case records of the houses with dominant diseases in the same climate zone and the same structure type, the group degradation threshold distribution corresponding to each degradation factor is calculated and constructed;Compare the damage equivalent cumulative amount of each component with the group degradation threshold distribution, and determine the comprehensive silent degradation risk index based on the competition risk model;Generate a risk image containing high-risk component location labeling and dominant degradation type;Calculate the event damage increment and update the image by superimposition.The application realizes the dynamic evaluation of individual silent degradation risk of old house under the condition of lacking on-site detection data.

The invention provides a risk dynamic assessment method for a cross-climate zone diabetic foot, which comprises the following steps: when a user moves to a target climate zone, collecting environmental data of the target climate zone, functional indexes of a user foot TRPM8 channel and user individual data; calculating a basic stress index according to the environment data, and correcting the basic stress index through the function index and the user individual data to obtain a final stress index; drawing an index change curve of the user based on the final stress index, processing the index change curve, the function index and the user individual data through a double-branch neural network, and outputting double-branch features; fusing the double-branch features through an attention mechanism, and outputting the functional damage level of the TRPM8 channel; performing risk dynamic assessment according to the functional damage level, and outputting intervention measure suggestions; by establishing the dynamic association of the environmental-TRPM8-diabetic foot risk, accurate risk assessment and personalized intervention in a cross-climate-zone scene can be realized.

This invention discloses a method for joint prediction of link status and candidate station determination across multiple optical ground stations. The method acquires historical atmospheric observation data from multiple optical ground stations, constructs a historical time-series input sequence, and extracts shared time-series features from multiple stations using a shared time-series encoder. Based on this, a cloud cover prediction branch and a conditionally coupled atmospheric turbulence prediction branch are constructed, and physical consistency constraint weights are generated using auxiliary features to jointly train the joint prediction model. Then, based on the cloud cover prediction results and atmospheric turbulence prediction results, future link availability evaluation results are generated, and a candidate station set and station priority ranking results are output. This invention can improve the accuracy, stability, and physical rationality of link status prediction in multi-station scenarios, enhance the generalization ability under different climate zone conditions, reduce the errors caused by relying solely on single-station or single-cloud cover predictions, and improve the support capability and engineering application value of candidate station recommendation results for collaborative access of multiple optical ground stations.

The application discloses a water environment blue-green algae bloom early warning method and system, relates to the technical field of environmental monitoring, and comprises the following steps: collecting multi-source monitoring data through an "space-ground" integrated network composed of a liftable layered sensor, a satellite, an unmanned aerial vehicle and a weather station, fusing the data to generate a blue algae space-time distribution thermal map, introducing a blue algae vertical migration factor and a plankton feeding factor, constructing a self-adaptive prediction model, accurately calculating blue algae cell density and bloom coverage area, clustering regional characteristic libraries based on climate zones and water body types, analyzing a ROC curve to dynamically match optimal early warning threshold values, and finally calculating early warning coefficients according to the prediction results and the self-adaptive threshold values, outputting graded early warning signals, and significantly improving the accuracy, reliability and practicability of blue-green algae bloom early warning.