73 results about "Energy security" patented technology

The invention provides a factory energy safety dynamic monitoring method based on the Internet of Things and multi-mode perception, and belongs to the technical field of industrial Internet of Things. Comprising the following steps: acquiring electrical parameters, temperature data, combustible gas leakage concentration and vibration signals of equipment in real time; carrying out aggregation and protocol conversion on the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals through a multi-protocol intelligent gateway, and uploading the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals to a locally deployed edge computing node in a preset period; preprocessing the received data at the edge computing node, and generating a quantitative risk index based on a dynamic risk assessment model fusing the real-time state of the equipment, the historical aging trend and the environmental parameters; and carrying out risk grade judgment according to the quantitative risk index, and executing a corresponding grading response. Through fusion of multi-modal sensing data and edge intelligence, comprehensive sensing, real-time quantitative evaluation and hierarchical intelligent response of factory energy safety risks are realized.

Disclosed in the present invention is an integrated reforming power generation test system having wide-range fuel adaptability, comprising a fuel supply subsystem, a catalytic reforming subsystem, a hydrogen purification subsystem, a power generation subsystem, and a test monitoring subsystem. A fuel pump and a fuel delivery pump are connected to a water-gas shift reactor by means of an evaporator and a reformer, the water-gas shift reactor is connected to a pressure swing adsorption device by means of a first gas-liquid separator, the pressure swing adsorption device is connected to a fuel cell stack by means of a hydrogen buffer tank, and a gas chromatograph is connected to the reformer by means of a third gas-liquid separator and to the water-gas shift reactor by means of a second gas-liquid separator. By using a variety of fuel resources to produce electricity, the present invention breaks through the limitation of the scope of traditional single-fuel reforming power generation systems, ensures the reliability of electricity supply, gets rid of the dependence on specific fuels, enhances regional energy safety, and improves the flexibility of energy supply.

The invention relates to the technical field of intelligent fire fighting, in particular to an electrical fire intelligent monitoring and early warning top-speed alarm automatic fire extinguishing system and method, and the system comprises a ubiquitous sensing terminal, an intelligent decision-making platform, a linkage execution device, an energy guarantee module and a communication interaction unit; wherein the ubiquitous sensing terminal is used for collecting electrical equipment operation data and environmental parameters in real time and generating structured data; the intelligent decision-making platform is used for processing the structured data, evaluating an electrical fire risk level and generating an early warning and fire extinguishing strategy; the linkage execution device is used for realizing top-speed alarm and intelligent fire extinguishing according to early warning and fire extinguishing strategies; the energy guarantee module is used for providing three-level redundant power supply for the system and ensuring reliable operation of the system; and the communication interaction unit is used for multi-protocol data transmission and remote control. Therefore, the problems of high false alarm rate, large response delay, single fire extinguishing mode and the like of a single sensor in the prior art are solved.

The invention relates to the technical field of comprehensive energy utilization, and provides a comprehensive energy system utilizing LNG (Liquefied Natural Gas) multi-energy complementary comprehensive output, which comprises an LNG cold energy utilization system, a methane cracking hydrogen production system, a power generation and power supply system, a waste heat centralized utilization system and a product supply system. A natural gas direct cracking hydrogen production technology, an LNG (Liquefied Natural Gas) cold energy utilization technology and a waste heat utilization technology are mainly utilized to realize natural gas state conversion, hydrogen production and hydrogen pre-cooling, and liquid hydrogen is prepared by utilizing a multi-stage circulating hydrogen cooling technology; meanwhile, by-product carbon of the methane cracking hydrogen production technology can be used as a high-purity carbon raw material after being captured and processed, and is used for processing various by-products. The system has the advantages of comprehensive energy resource output, extremely low carbon comprehensive emission and pollutant emission, cold and hot energy comprehensive regulation and control, energy safety guarantee and the like, and zero-carbon liquid hydrogen can be provided in a more energy-saving and environment-friendly manner.

The invention discloses an electric ship energy management system based on artificial intelligence, and relates to the technical field of energy management, the battery state is judged by collecting battery data in real time and calculating the health state coefficient, if the state is normal, the electric power is distributed according to the remaining electric quantity and the health state coefficient, and the performance degradation trend is monitored synchronously; if the health is abnormal or continuous accelerated decline is monitored, early warning is triggered, and intelligent management and early risk intervention are achieved. According to the invention, internal resistance and temperature data are fused, and early attenuation of the battery is accurately monitored through a health state quantitative model and a dynamic threshold value; load is intelligently distributed in combination with charge and health states, battery pack working conditions are optimized, and the service life is prolonged; early warning performance accelerated decline by analyzing the change trend of the health state coefficient; and ship-shore real-time closed-loop early warning is constructed, the cooperative maintenance capability is improved, and safe and efficient operation of energy of the electric ship is comprehensively guaranteed.

The invention provides a multifunctional combined use method of a high-expansibility mobile power supply, relates to the technical field of mobile power supplies, and realizes modularization, multiple functions and high reliability of the power supply by constructing a combined system consisting of a main power supply module and a plurality of independent function expansion modules. The main power supply module comprises a physically reconfigurable energy storage array unit, an energy partition isolation management system, a multi-node energy routing core and a rotary encoder, and has a dynamic topology autonomous evolution capability and a fault self-healing mechanism. A multi-mode biological heuristic sensor fusion unit and a multi-stage phase change micro-cavity cooling structure are integrated in the expansion module, so that state data can be acquired in real time and thermal stability can be guaranteed. According to the invention, the adaptability, energy supply continuity and user interaction flexibility of the mobile power supply system in a complex environment are improved, and the mobile power supply system is suitable for application scenarios with high requirements on energy safety and reliability, such as field operation, military communication, disaster rescue and the like.

The invention provides a park integrated energy optimization scheduling method and system, and relates to the technical field of energy scheduling, and the method comprises the steps: obtaining the state information of a park integrated energy system; establishing an energy scheduling model according to the state information; determining a constraint condition and a target function of the energy scheduling model; solving the energy scheduling model through an epsilon-constraint algorithm under the constraint of a constraint condition by taking the minimization of the objective function as a target, and generating a scheduling solution set; processing the scheduling solution set in a fuzzy decision mode to generate an optimal scheduling solution; and taking the optimal scheduling solution as a scheduling scheme, and carrying out optimal scheduling on the park integrated energy system. The energy utilization efficiency can be improved, and the energy safety and flexibility of the park are enhanced.

The invention belongs to the technical field of new energy safety monitoring, and particularly discloses a fire monitoring system and method for a wind turbine generator, and the system comprises smoke detectors, temperature detectors and image monitoring devices which are disposed at all parts of the wind turbine generator. Temperature and flue gas parameters are continuously monitored for 24 hours by a detector, and once collected data exceed a preset threshold value, an alarm is immediately triggered and position information is uploaded to a central control platform; the platform is immediately linked with a corresponding image monitoring device, and a video picture is started for visual review, so that a dual judgment mechanism of data alarm and image confirmation is realized, and a real fire behavior and a false alarm are effectively distinguished; after the fire behavior is confirmed, the system supports automatic or manual starting of the fire extinguishing device, and records and stores data and pictures of the whole process for follow-up dynamic analysis and calibration of a detection threshold value, so that a complete closed loop from monitoring, alarming, confirmation to disposal and improvement is formed.

The invention relates to the technical field of new energy station intelligent inspection, in particular to a new energy station intelligent safety inspection method and system, and the method comprises the steps: judging whether an inspection condition is satisfied, and starting an unmanned plane inspection task if the inspection condition is satisfied; generating a dynamic inspection path; performing intelligent safety inspection on the new energy station based on the dynamic inspection path, and collecting personnel operation image information of a target area in real time; the personnel operation image information is transmitted to the cloud server through the hangar center; and the cloud server identifies unsafe behaviors according to the personnel operation image information, marks key information of the hidden danger picture, determines the operation personnel with nonstandard behaviors and information thereof according to the key information, and outputs a potential safety hazard prompt signal. According to the invention, unmanned aerial vehicle inspection full coverage, least time and high unmanned aerial vehicle safety inspection efficiency are realized through dynamic path planning, hidden danger identification reminding is carried out, illegal behaviors are corrected in time, the station safety supervision efficiency and the production safety level are improved, and energy safety and green low-carbon development are guaranteed.

This invention discloses an intelligent control method for building photovoltaic (PV) curtain walls based on the linkage between light transmittance and energy storage status. This invention relates to the field of PV curtain wall control technology. By real-time monitoring of PV array power generation, energy storage system state of charge (SOC), and building load data, a SOC change curve is constructed to divide the power into high, medium, and low energy zones. A global control mode is automatically matched, maximizing economic benefits, self-balancing, or ensuring energy security. Based on this, an objective function is established with grid purchase cost, temperature deviation penalty, and battery loss as comprehensive objectives. A rolling optimization strategy is used to solve for the optimal light transmittance, energy storage charging and discharging power, and load adjustment under constraints, forming a collaborative control instruction set and issuing it for execution. This achieves deep coupling control of the PV curtain wall's light transmittance characteristics and the energy storage system, balancing building energy efficiency, economic benefits, and energy security, and improving the overall operational performance and intelligence level of the building PV system.

This invention proposes a multi-energy safety assessment method and system considering multiple time scales and coupled faults. The method includes: establishing an intermediate time-scale model and a long-time-scale model of the integrated energy system; conducting a safety assessment for each fault scenario in a fault scenario set; wherein, using the long-time-scale model to perform an N-1 safety scan of the fault scenarios considering coupled faults, calculating system risk assessment indicators; when the system risk assessment indicators reflect that the fault scenario may lead to water hammer consequences, using the intermediate time-scale model to calculate the overpressure value generated during the water hammer process; and generating the final safety assessment result of the integrated energy system based on the safety assessment results of each fault scenario. This invention can capture the water hammer effect of the heating network and the cascading faults caused by the coupling of the logical and geographical layers, which are often overlooked in traditional assessments, achieving a more comprehensive and accurate safety assessment of the integrated energy system and helping to improve the operational safety of the system.

This invention relates to the field of security technology, specifically to a control module and method for a comprehensive energy security system. It includes an analysis and prediction unit, an evaluation and calculation unit, a variable consumption unit, and a control strategy unit. The demand prediction module of this invention receives user periodic electricity consumption, temperature deviation, and precipitation deviation from the analysis and analysis module. It calculates a baseline energy demand based on the user periodic electricity consumption, and then calculates the impact of temperature deviation on user energy demand under extreme weather conditions. By combining the baseline energy demand and the impact of extreme weather conditions, it predicts the user's energy demand under extreme weather conditions. This combination allows for more accurate prediction of energy demand under extreme weather conditions, enabling advance adjustments to power generation plans and power dispatch, avoiding energy waste caused by supply-demand imbalances or excessive microgrid generation, optimizing resource allocation, and improving resource utilization efficiency.

The application discloses a kind of multi-energy internet dynamic networking and energy management method for satellite constellation, which comprises: judging whether to meet dynamic networking condition, and after judging to meet dynamic networking condition, determining the root node and the child node of satellite constellation to be dynamically networked, wherein the node is the energy terminal for satellite management;Root node is dynamically networked with the determined child node, and the multi-energy scheduling and decision method is used to manage the multi-energy internet after dynamic networking.The application can improve the energy security capability of on-orbit satellite constellation, the operation reliability and service life of on-orbit satellite.

The application provides a park comprehensive energy optimization scheduling method and system, and relates to the technical field of energy scheduling. The method comprises the following steps: obtaining state information of a park comprehensive energy system; establishing an energy scheduling model according to the state information; determining constraint conditions and an objective function of the energy scheduling model; under the constraint of the constraint conditions, solving the energy scheduling model by an epsilon-constraint algorithm to generate a scheduling solution set, processing the scheduling solution set by a fuzzy decision method to generate an optimal scheduling solution, and taking the optimal scheduling solution as a scheduling scheme to optimize the park comprehensive energy system. The application can improve energy utilization efficiency and enhance park energy security and flexibility.

The invention relates to an exception tool for a virtual security network system. A virtual security net system includes: at least one active remote sensor configured to output energy to establish an energy security net and to detect reflected energy reflected from an object disposed in the energy security net; and a processor in signal communication with the at least one active remote sensor. The processor is configured to determine an energy intensity of the reflected energy and, in response to the energy intensity exceeding an energy intensity threshold, identify the object as an exceptional tool allowed to be disposed in the energy security net.

The invention relates to the technical field of new energy safety operation, in particular to a multi-energy system safety response collaborative defense method based on voltage sensitivity identification, and provides a voltage sensitivity identification method to realize differential risk perception in extremely cold weather by constructing a mobile energy storage unit model and fully mining the advantages of multi-energy interactive operation of the mobile energy storage unit model. And determining the access position of the mobile energy storage unit in the risk scene, constructing a risk resistance evaluation model, and verifying the reasonability and feasibility of the proposed method. The identification method based on the voltage sensitivity can effectively improve the positioning accuracy of the mobile energy storage unit and improve the risk response capability of the multi-energy system; the safety and economy of system operation in a risk scene can be effectively measured through a risk assessment and benefit analysis model, the voltage level of the system is effectively improved, and the anti-risk capability of the multi-energy system is remarkably enhanced; the mobile energy storage unit in a multi-energy storage form can quickly and flexibly respond to system requirements, and economic losses are effectively reduced.

The present invention relates to a method for optimizing the path of coal-fired power generation carbon emission reduction based on multi-objective constraints, and belongs to the field of power system transformation. The method comprises: using a unit decommissioning algorithm module to calculate the life parameters of the active units, and eliminating the units whose life parameters are lower than the life parameters; using a carbon emission reduction technology optimization algorithm module to generate a carbon emission reduction technology transformation plan based on the remaining units, and continuously iterating to find the optimal carbon emission reduction technology transformation plan through a simulated annealing algorithm. The present invention determines the scale of retired units through the unit decommissioning algorithm module, and obtains the changes in installed capacity such as the total installed capacity / newly installed capacity / retired capacity of various types of coal-fired power units; and obtains the layout of the coal-fired power generation low-carbon transformation path, the carbon emission reduction amount of the coal-fired power generation low-carbon transformation path, and the investment cost, operation and maintenance cost, and carbon reduction cost of the carbon emission reduction technology during the planning period through the carbon emission reduction technology optimization algorithm module, taking into account a series of external constraints such as energy security, economic development, and policy carbon reduction targets.

The invention discloses a bionic mantis shrimp shock wave fire extinguishing system and method, and belongs to the technical field of new energy safety, the bionic mantis shrimp shock wave fire extinguishing system mainly comprises a raw material system, a strain sensing device and a main controller, the output position of the raw material system is provided with a plurality of microfluid mixers, and the surface of a battery body is provided with the strain sensing device; and the fluid mixer is provided with an automatic fire extinguishing agent dispenser for quantitatively releasing a fire extinguishing agent, so that the fire extinguishing agent is fully mixed with compressed airflow in the microfluid mixer and acts on the battery body, and the fire extinguishing effect is achieved. When the lithium ion battery is used, the pulse generator on the outer side of the battery body emits signal pulses, and mechanical shock waves accurately correspond to a critical time window of the lithium ion battery, so that a fire extinguishing agent can permeate to the central area of the battery body, and the fire extinguishing agent meets the requirement of covering the whole space of the battery.

This application discloses a solar-powered pneumatic lifting and generating device, including a counterweight, an air plug, an air chamber, an air intake pipe, a generator, a stiffening chamber, a lifting and stiffening mechanism, and solar panels. Both the air chamber and the stiffening chamber are cylindrical and connected by the air intake pipe, which is equipped with a control valve. The air chamber has a cavity at its top, within which an air plug is movably mounted, and a counterweight is fixed to the top of the air plug. The generator is located on one side of the stiffening chamber, and its impeller is connected to the stiffening chamber via a pipe. The lifting and stiffening mechanism includes a motor, a pulley system, and a rope. One end of the rope is connected to the motor output, and the other end is connected to the counterweight via the pulley system. Several solar panels are connected to the motor via cables. This application provides a practical and innovative solution for distributed microgrids, independent power supply in remote areas, and emergency energy security, ensuring power supply reliability while minimizing dependence on fossil fuels and improving energy efficiency.

The present application relates to the technical field of energy security, and more particularly to a power distribution network elasticity improvement and joint optimization scheduling of repair personnel scheduling method and system, comprising: obtaining active power distribution network topology parameters, diesel generator and energy storage device parameters, renewable energy predicted output and load curve and numerical value; the post-disaster recovery model of active power distribution network is constructed in the guidance of elasticity, the adjustment strategy of distributed power generation resources is determined based on the topology reconstruction and island segmentation strategy method; the optimization scheduling model of repair personnel and network reconstruction coordination is constructed in the guidance of elasticity, and the second order cone relaxation method is used for relaxation processing to determine the fault repair strategy; through the active power distribution network topology parameters, the adjustable resource parameters and the renewable energy predicted output, the optimization problem is reconstructed based on the active power distribution network fault scene under the disaster; the optimization problem is solved with the minimum fault economic loss as the target, and the active power distribution network topology structure and the fault repair strategy are obtained.

The invention discloses a flexible cooling thermal insulation material and a preparation method and application thereof, and belongs to the field of new energy safety. The flexible cooling thermal insulation material comprises a phase change heat absorption material, a flexible supporting material, a modified additive, an expansion auxiliary agent and a coating material, the cooling effect is achieved through the phase change heat absorption material with the excellent heat absorption capacity, certain flexibility is achieved by combining the phase change heat absorption material with the flexible supporting material, and the heating expansion function is achieved by adding the expansion auxiliary agent; the heat insulation effect is achieved. The flexible cooling thermal insulation material and the preparation method can be used for lithium battery fire prevention and control, and the problem of lithium battery fire spreading and diffusion is solved.

The invention relates to a sustainable and stable output control method for new energy grid-connected power based on a flexible direct-current power transmission technology, and belongs to the technical field of new energy. Comprising the steps of performing time period optimization on a new energy power generation power prediction curve, and calculating a power average value of each time period as an initial output reference value; dynamically adjusting a reference value by combining a power grid regulation and control demand; constructing a new energy-flexible direct current transmission integrated coordination control model, taking power deviation quadratic sum minimization as a target function, and integrating new energy power generation constraints, flexible direct current system adjustment constraints and power grid frequency / voltage constraints; a rolling optimization control strategy is adopted, and the continuous stability of the output power of the combined system in a 24-hour operation period is realized by dynamically updating the charging and discharging power of the flexible direct current system. According to the invention, the visual controllability of the power grid to the new energy power is improved, the supply and demand balance capability and the anti-risk level of the power system are enhanced, the new energy consumption efficiency and the power grid stability are remarkably improved, and large-scale new energy safe grid connection is supported.

The application discloses a kind of simulation lithium battery thermal runaway thermal radiation and dynamic synergistic switching control method of jet fire, belong to energy safety and thermal management technical field, this method aims at solving the problem that single heat source cannot truly reproduce the whole process of thermal runaway in existing test, heat flux density is discontinuous and control lag.The method comprises: setting target heat flux density curve including radiation heating, synergistic switching and jet fire leading three stages;Real-time acquisition of battery state is carried out by multi-physical field sensor;Switching opportunity is judged based on thermal runaway prediction model;In switching stage, radiation and jet fire heat source power are smoothly adjusted, to ensure that total heat flux density continuously and accurately tracks target curve.The system includes double-source heating module, data acquisition module and central control module, to realize high-fidelity, high-repetitive thermal runaway whole process simulation.

The application provides an energy scheduling method and system based on provincial energy markers, constructs power safety models and pre-power allocation models of a plurality of time periods; marks energy net consumption provinces to obtain first marking nodes; marks energy net output provinces to obtain second marking nodes; marks energy net consumption provinces meeting third preset requirements by calculating the proportion of the second marking nodes in the energy net output provinces corresponding to the energy net consumption provinces, to obtain attention nodes; and evaluates the provincial energy safety situation based on the first marking nodes, the second marking nodes and the attention nodes. The application solves the problem of poor reliability of the existing technology for cross-provincial power allocation safety supply. The application considers the sufficiency of the energy allocation demand of the provinces by using reliable data basis and marking of the energy of each province, ensures energy mobilization safety, and improves the reliability of cross-provincial power allocation.

The invention provides a multifunctional composite material for thermal runaway global protection of a power battery system and a preparation method of the multifunctional composite material, and belongs to the technical field of new energy safety materials. The composite material is formed by compounding a surface-metalized glass fiber reinforcement layer and a ceramic glass fiber composite material matrix through an integrated molding process, a metal organic framework material is uniformly dispersed in the ceramic glass fiber composite material matrix. According to the invention, a single material system can cope with multiple security threats such as high-temperature flame, toxic smog, electromagnetic interference and mechanical shock generated in the thermal runaway process at the same time. The surface-modified MOF material simultaneously plays dual functions of suppressing smoke, reducing toxicity and enhancing an interface in a system, and has a synergistic effect with a fiber layer of the conductive glass fiber cloth, so that the structural integrity and functionality of the material in an extreme environment are ensured. The material is particularly suitable for safety protection between power battery modules, and solves the problems of poor reliability, large volume, large weight, high cost and the like in the traditional stacked solution.

The invention discloses a novel energy system safety risk analysis method and device based on carbon-energy coupling, and the method comprises the steps: inputting energy data and a carbon emission factor, and building a carbon-energy coupling dynamic model; generating typical risk scenes such as energy price fluctuation and extreme weather, and reducing to obtain a simplified scene set; then an upper-lower layer coupled risk quantification model is constructed, the upper layer focuses on energy supply cost and carbon emission optimization, and the lower layer focuses on power system operation cost minimization; and finally, solving based on a Monte Carlo method, and outputting a multi-dimensional risk assessment index. According to the method, the problem that multi-field risk interaction is difficult to describe by a traditional method is solved, accurate quantification of the multi-scene risk of the provincial novel energy system is realized, and scientific support is provided for provincial energy safety decision.

This invention provides a data center energy security scheduling method, system, equipment, and medium, belonging to the field of computer technology. Specifically, it models the problem as a constrained Markov decision process (CMDP), where the agent's objective is to minimize energy costs while adhering to a security constraint to ensure a continuous and sufficient power supply and prevent power shortages. A Lagrange-based constrained policy optimization algorithm is employed to learn a control strategy that conforms to predefined constraints. Under the premise of ensuring sufficient power supply to the data center, it effectively addresses the intermittency of renewable energy and electricity price fluctuations, achieving optimal operating costs and significantly improving the reliability and economy of microgrid operation.

The invention belongs to the field of micro-grid control, and particularly relates to a distributed power supply storage and charging integrated micro-grid cooperative control method, which comprises the following steps: constructing a distributed power supply storage and charging integrated scene Internet of Things terminal global networking framework system based on power line carrier communication and 5G lightweight technology; and micro-grid equipment state sensing and full life cycle efficiency optimization are realized on the basis. And a load prediction algorithm of the charging station is utilized to construct a distributed power supply-energy storage-charging station optimization scheduling model, flexible charging of the electric vehicle is realized, and the whole system can improve the consumption efficiency of the distributed power supply, reduce the power grid load and improve the energy safety.

The invention discloses an electricity-coal performance management and control method and system for realizing three-level application by a coal mine management department, and relates to the technical field of coal supply chain management. According to the invention, the problems of insufficient data processing capability and poor real-time performance are solved; through a distributed database, an intelligent contract and a block chain technology, a trust mechanism of multi-party collaboration is enhanced, task distribution is optimized, and the defect of a traditional method in collaboration efficiency is made up; meanwhile, resource scheduling optimization and dynamic adjustment are realized by using linear programming and time sequence analysis technologies, so that the flexibility and adaptability of the supply chain are improved, the accuracy of performance evaluation and the timeliness of contract execution are further guaranteed, efficient, stable and accurate management of the coal supply chain is realized, and the coal supply chain management efficiency is improved. And powerful support is provided for energy guarantee and enterprise economic benefit improvement.

The utility model relates to a composite photovoltaic, biological power generation and vertical greening variable multi-layer curtain wall system which comprises an outer wall enclosure structure supported by a main body bearing structure, and the outer wall enclosure structure is provided with a multi-layer curtain wall system composed of a plurality of layers of curtain wall units. The multi-layer curtain wall unit comprises a photovoltaic glass outer curtain wall system, an outer curtain wall rainwater collection and utilization system, a plant curtain sunshade system, an interlayer fern power generation system, an inner glass curtain wall and a supporting system. According to the variable multi-layer curtain wall system combining photovoltaic power generation, biological power generation and vertical greening, photovoltaic power generation and pteridophyte photosynthesis are utilized for power generation, the variable multi-layer curtain wall system can serve as a temporary infrastructure, converted electric energy is stored in the storage battery, and the variable multi-layer curtain wall system can be conveniently used for building operation or can serve as standby energy; the energy safety guarantee capability can be enhanced; the curtain wall variability and the high-rise green vision rate are increased, the advantages of climate self-adaption and breathing are achieved, and a breathable ecological building is formed.