98 results about "Climate zones" patented technology

The invention provides an automatic adaptation method and system for a multi-climate zone emotional response strategy. The method comprises the steps that S1, the type of a climate zone where a vehicle is located currently is recognized; s2, collecting multi-dimensional environment data reflecting the environment where the vehicle is located, and constructing a structured environment state vector based on the multi-dimensional environment data; s3, collecting multi-modal data of the target object, wherein the multi-modal data comprises a facial image, voice information and physiological information; extracting a feature vector reflecting an emotional state based on the collected multi-modal data, and identifying a current emotion category based on the extracted feature vector reflecting the emotional state; and S4, according to the identified climatic zone type, environment state vector and emotion category of the current vehicle, searching and matching an optimal strategy template in an emotion response strategy library, and generating equipment control parameters.

The present invention relates to the field of meteorological forecasting and artificial intelligence technology, and in particular to a grey correlation-based ice thickness prediction method, system, device and medium, comprising collecting multi-dimensional ice cover data, dynamically screening key meteorological features through grey correlation; constructing and dividing a cleaned and normalized data set; integrating a bidirectional gated recurrent unit with a multi-head self-attention mechanism to design a hybrid model; performing parameter optimization and testing verification based on a training set; eliminating redundant interference through dynamic feature screening, bidirectionally analyzing the long-term and short-term ice cover evolution laws, strengthening the focus on extreme meteorological event features with an attention mechanism, and realizing cross-climate zone migration deployment in combination with a parameter adaptive compensation module, thereby significantly improving prediction accuracy and early warning capabilities for sudden ice and snow conditions, and providing intelligent decision-making support for power grid disaster prevention.

The invention belongs to the technical field of building construction, and particularly discloses a building performance multi-objective optimization method and equipment based on an intelligent algorithm. Comprising the steps of performing parametric simulation on building performance to obtain a sample data set; constructing a BO-CatBoost prediction model, predicting the building lighting performance, the building energy consumption, the building thermal comfort and the building carbon emission by adopting the BO-CatBoost prediction model, and establishing a nonlinear mapping relationship between each influence factor and the building energy consumption, the carbon emission, the lighting and the thermal comfort; and constructing a multi-target prediction function by taking different climate zone variables as constraint conditions. According to the method, efficient collaborative optimization of performance in multiple aspects of energy consumption, carbon emission, lighting, thermal comfort and the like of the building is realized, so that the building can effectively adapt to different climate zone environments while meeting multi-target performance requirements, and an efficient, universal and widely applicable optimization strategy is provided for sustainable development of the building industry.

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.

The invention provides a multi-climate zone-oriented photovoltaic car shed assembly inclination angle adjusting method and system, and the method comprises the steps: obtaining a low-altitude topographic cumulus real-time distribution image and sky brightness data through an all-sky imager, and combining the speed and direction of valley wind collected by an anemorumbometer, generating a meteorological feature data set including a cloud body edge, a shadow boundary and a moving path; extracting a shadow coverage state of the high-altitude shed from the shadow evolution time sequence, if the high-altitude shed is not in shadow coverage, determining that a solar panel of the high-altitude shed maintains a target direct light receiving inclination angle, and generating an inclination angle maintaining instruction; the inclination angle adjusting instruction and the inclination angle maintaining instruction are distributed to solar panel control units of low-altitude and high-altitude carports, servo motors are driven to adjust panel angles, and inclination angle optimization is completed; and evaluating the data set according to the optimization effect, calculating the deviation between the photoelectric conversion efficiency and the preset expected scattered light capture efficiency, and updating the terrain constraint parameters according to the deviation.

The invention relates to the technical field of forestry management, in particular to a mountain ecology-oriented multi-level risk assessment method for alien invasive plants and application. The invention discloses a mountain ecology-oriented multi-level risk assessment method for alien invasive plants, and the method comprises the steps: (1) constructing a five-stage index system (introduction, colonization, diffusion, harm and prevention), and carrying out the quantitative assignment of 41 indexes based on vertical gradient features; (2) creating a mountain land adaptation index for the first time, and improving small-scale evaluation precision based on ecological system characteristics; (3) dynamic group decision weight: fusing an expert AHP matrix by adopting a geometric average algorithm, and solving the problem of group decision bifurcation (CRlt; 0.1) of the substrate; (4) performing graded accurate prevention and control according to risk values (greater than or equal to 40 high, 30-40 middle and lt; 30) a matching strategy; and (5) verifying the advantages, and verifying that the consistency with the on-site harm reaches 100% through 17 invasive plants in the Lijiang Mountain. The method aims at the core pain points of mountain ecosystem terrain fragmentation, obvious vertical climate zone layering and poor adaptability of a traditional model.

This invention relates to the field of meteorological services and provides a method and system for correcting subseasonal model precipitation based on climate zoning and sea surface temperature (SST) background constraints. The method includes: climate zoning, adding SST background constraints, reanalysis data modeling, model historical return data modeling, real-time prediction model matching, and prediction result correction. The system includes: a data preprocessing unit, a climate zoning unit, an SST background constraint unit, a reanalysis data modeling unit, a model historical return data modeling unit, and a real-time model matching and prediction result correction unit. This invention considers the importance of regional differences in precipitation and SST background constraints, solving the problems of significant regional differences in daily summer precipitation in my country, the tendency for overfitting in single-point modeling, and the lack of physical constraints that make correction methods unsuitable. It effectively utilizes physically meaningful predictability sources to modify the cumulative probability density correction method based on percentile mapping, thereby improving my country's summer subseasonal precipitation prediction capabilities.

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 relates to a reality capture device with different climate zones for cooling. A reality capture device (1) for generating a digital three-dimensional representation of an environment, in particular for surveying or monitoring infrastructure, comprises a laser scanner (4) and a housing enclosing an interior space having a first climate zone (14) and a second climate zone (15). The reality capture device (1) has a common air circulation element for providing active air circulation through an air guide device, wherein the air guide device is configured such that different air flow characteristics of the active air circulation are achieved with respect to different areas (23, 24) associated with cooling of the two different climate zones (14, 15). The first climate zone (14) is configured without active air circulation, and the second climate zone (15) is configured with active air circulation for guiding air to the internal components (17) of the corresponding heat dissipation element.

An air source heat pump defrosting control method suitable for different climate zones belongs to air source heat pump defrosting control methods, and adopts the specific scheme as follows: when an air source heat pump is applied to different climate zones, the temperature difference between outdoor air and the surface of an outdoor coil pipe is continuously monitored during frostless stable operation of a unit; and matching with a frostless temperature difference threshold value of the air source heat pump at the outdoor temperature corresponding to each climate zone, reversely deducing the climate zone where the air source heat pump is located, and further performing defrosting control by adopting a defrosting starting temperature difference control line of the climate zone. According to the defrosting control method, the climate area where the air source heat pump is located can be automatically recognized, and the reasonable defrosting starting temperature difference control line is selected, so that the defrosting accuracy of the air source heat pump can be greatly improved, the heating performance coefficient of the air source heat pump when the air source heat pump is applied to different climate areas is improved, the heating energy consumption of a building and the mistaken defrosting frequency are reduced, and the heating efficiency of the building is improved. And the interference of defrosting on the indoor thermal comfort of the building is reduced.

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.

The invention relates to the technical field of urban ecological greening, and particularly discloses a greenbelt plant introduction evaluation method based on functional character and climatic zone differentiation, which comprises the following steps: establishing a climatic zone-functional character-ecological service three-level evaluation chain: dividing climatic zones: dividing five types of climatic zones according to annual average temperature / rainfall, and determining core limiting factors of each zone; screening functional characters: selecting measurable and highly correlated functional characters; ecological service quantification: evaluating diversity and productivity through function uniformity and photosynthetic rate; core parameters and quantification methods are climate adaptability parameters (represented by transpiration cooling capability). According to the greenbelt plant introduction evaluation method based on functional character and climate zone differentiation, scientific research evaluation is converted into a tool which can be executed by front-line personnel through a clear formula, a quantitative threshold value and standardized operation steps, and a closed-loop operation chain of taking indexes, testing, calculating scores and determining a scheme is truly realized.

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.

The present disclosure provides systems and methods for a food storage system including a freezer, a temporary storage unit removably coupled with the freezer, and a freezer management application. The freezer includes two or more independently controllable climate zones which can be automatically adjust based on data received from sensors and cameras in each of the climate zones or manually adjust using the freezer management application. The freezer is also configured to receive one or more modular inserts for increased customization and functionality. The temporary storage unit includes a climate zone that is configured to be controlled and regulated by the freezer when the temporary storage unit is coupled with the freezer. Based on the data received from the sensors and cameras, the freezer management application generates alerts regarding deviations in the conditions of the climate zones or conditions of food items stored in the system.

This invention discloses a method for quantitative assessment of ecosystem services based on remote sensing data. The method includes: determining the assessment area for ecosystem service quantitative assessment and collecting remote sensing image data; preprocessing the remote sensing impact data; delineating typical sample areas according to local climate zones (LCZs) and obtaining a training dataset; training the model based on the training dataset and a random forest classification algorithm; acquiring relevant temperature data, hydrological data, and carbon storage data, and combining them with the InVEST model to output the distribution results of heat mitigation services, rainwater storage benefits, and carbon offset service contributions; fusing the above data into the preliminary local climate zone map and analyzing the changes of the fused LCZ map over time. By using this invention, a comprehensive assessment and monitoring of urban ecosystem services can be achieved. This invention can be widely applied in the field of service monitoring and assessment.

The present application relates to the field of carbon footprint technology, and provides a method and device for calculating the carbon footprint of a chiller during its operation phase. The method comprises: determining the indoor cooling and dehumidification demand characteristics of a building based on the outdoor temperature and humidity conditions of the building; determining the cooling characteristics of the chiller during its operation phase based on the product performance curve of the chiller; matching the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during its operation phase. On the one hand, the present application can calculate the carbon footprint based on the actual cooling and dehumidification function of the chiller during its operation phase, thereby avoiding the inaccurate problem of carbon footprint calculation considering only the outdoor temperature. On the other hand, it can be used to predict and evaluate the carbon footprint of the chiller during its operation phase when different climate zones, different buildings, and different types of chillers are used during the design phase, thereby avoiding the problem that the post-evaluation calculation method based on a unified standard cannot guide the design selection.

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.