303 results about "Building envelope" patented technology

The invention relates to the technical field of energy consumption prediction, in particular to a building envelope energy-saving effect prediction method, which specifically comprises the following steps: deploying a sensor in a building maintenance structure to collect related data, and constructing a data set; marking the collected data to form a training set; a physical constraint decoupling normalization method is adopted for the data in the training set to generate features after decoupling normalization; a weighted feature vector is generated by adopting an attention mechanism guided by physical prior; constructing an energy-saving effect prediction network, and inputting the weighted feature vectors into the network for prediction; optimizing the network to obtain a trained network; newly-collected data is processed and then input into the trained network, the final prediction probability of each energy-saving grade is output, and the grade with the maximum probability is taken as a prediction result. According to the method, the collected data is preprocessed and then input into the network, so that the defects of inaccurate data processing, unreasonable feature selection and the like can be overcome, and the accuracy of a prediction result is improved.

The invention belongs to the technical field of photo-thermal performance detection of building envelope structures, and particularly relates to a light-transmitting roof photo-thermal performance detection device under various meteorological conditions and a detection method of the light-transmitting roof photo-thermal performance detection device. The invention discloses a light-transmitting roof photo-thermal performance detection device under various meteorological conditions. The device comprises a heat metering device, an air supply and return system, a water supply and return system, a control system and an external environment simulation device, wherein the external environment simulation device comprises an external environment box and an artificial light source; the light-transmitting roof test piece is installed on the lower side wall of the external environment box, and the external environment simulation device and the spraying device are used for simulating the environment conditions of different steady-state meteorological conditions and dynamic meteorological conditions under the spraying condition; the spraying device comprises a nozzle; a first light source radiation intensity sensor, a second light source radiation intensity sensor and a first illuminance sensor are further arranged in the outer environment box. According to the invention, the photo-thermal performance of the light-transmitting roof under the spraying condition can be accurately evaluated.

The invention belongs to the technical field of building energy conservation, and provides a real-time inversion method and system for a heat transfer coefficient of a building envelope, and the method comprises the steps: obtaining surface parameters and environment parameters of the building envelope; based on the obtained parameters and the physical neural network model, taking the minimum joint loss function based on the physical mechanism as a target, and performing inversion to obtain the optimal heat conductivity coefficient of the building envelope; and calculating the heat transfer coefficient of the building envelope according to the obtained optimal heat conductivity coefficient of the building envelope, and completing real-time inversion of the heat transfer coefficient of the building envelope.

The invention relates to a building envelope heat flow prediction method based on a KAN-Film fusion model, and the method comprises the following steps: 1), obtaining the historical indoor and outdoor air temperature time sequence data of a building envelope, and the thermal resistance and thermal capacity of the envelope, and forming a training data set; 2) constructing a model, wherein the model comprises a KAN network layer and a Film modulation layer, and the KAN network layer and the Film modulation layer cooperate to form a heat flow prediction model; 3) model training: inputting training data into a KAN-Film model, calculating a difference value between a predicted value and an actual monitoring heat flow by using a mean square error as a loss function, and iteratively optimizing model parameters; and 4) performing heat flow prediction by using the trained model: calculating a corresponding heat flow prediction value of the enclosure structure according to the new outdoor environment condition and the enclosure structure parameter input. The accuracy, generalization and real-time performance of heat flow prediction of the building enclosure structure can be improved, and the demand of intelligent building energy consumption optimization control can be met.

The invention belongs to the technical field of photo-thermal performance detection of building envelope structures, and particularly relates to a device and a method for detecting a solar heat gain coefficient under dynamic meteorological conditions of door and window curtain walls. The invention discloses a device for detecting a solar heat gain coefficient under a door and window curtain wall dynamic meteorological condition, and the device comprises an outdoor environment simulation hot chamber which comprises a solar radiation simulation system, a wind speed simulation system, and a temperature and humidity simulation system; an environmental space; the heat metering box and the outdoor environment simulation hot chamber are arranged in the horizontal direction, and the heat metering box is located in the environment space; a tested piece is arranged at the joint interface of the outdoor environment simulation hot chamber and the heat metering box along the vertical direction; the solar radiation simulation system adjusts the solar radiation intensity according to the received dynamic meteorological conditions, the wind speed simulation system adjusts the wind speed according to the received dynamic meteorological conditions, and the temperature and humidity simulation system adjusts the temperature and humidity according to the received dynamic meteorological conditions. According to the invention, the detection precision of the adjustable light-transmitting enclosure structure can be improved.

The invention discloses a new energy building integration energy-saving design analysis method, and relates to the technical field of new energy building integration, and the method comprises the following steps: carrying out the time sequence alignment and unit normalization processing of collected heat flow data, temperature rise data and power output data; according to the heat conduction characteristic of the heat conduction structure and the thermal inertia parameters of the building enclosure structure, a heat flux track and a thermal response profile with a unified thermal resistance reference axis are constructed; and based on the heat flux track and the thermal response profile, extracting a reverse heat flux strength parameter and a heat flux continuous influence duration parameter, and combining the parameters with a temperature control target and a heat conduction structure attribute set in the building to construct a reverse heat conduction interference atlas for judging the heat conduction interference degree of the cold load in the building. The problem of cold load misjudgment caused by the fact that photovoltaic heat is transmitted through a high-heat-conduction structure is solved, and cold and heat conduction accurate recognition and energy consumption dynamic regulation and control are achieved.

This invention relates to a roller blind system. The roller blind system comprising of a roller blind, the roller blind comprising of a photovoltaic film configured to, in-use, face towards an external face of a building envelope, and an energy storage system receivable of power generated from the photovoltaic film. A motor is connectable via a drive system for winding of the roller blind, the roller blind to be wound to an advanced or retracted position, and a controller is configured to operate at least the motor for windingly advancing or retracting the roller blind to a desired extension position.

A lightweight thermal barrier panel and anchor assembly for installation on a new or existing building envelope is disclosed. The system includes a modular panel with an infill barrier and structural anchors. The anchors are attached to the new or existing building envelope on at least one side of the building envelope to receive the thermal barrier panel to create an air cavity between the panel and the building envelope. The thermal barrier panel framing includes openings within rigid framing members to promote ventilation of the air cavity to the at least one side of the thermal barrier panel.

The invention relates to the technical field of dynamic optimization of building thermal resistance, and discloses an intelligent building envelope structure dynamic temperature adjustment system based on reinforcement learning. The system comprises a data acquisition layer, a multi-agent decision-making layer, an envelope structure execution layer and an energy consumption optimization layer. The data acquisition layer is used for detecting meteorological data of a current area, state data of an enclosure structure and temperature and humidity of an indoor environment. According to the system, through innovative material-algorithm collaborative design, dynamic optimization and accurate regulation and control of thermal performance of a building are achieved, dynamic stepless regulation of thermal resistance of an enclosure structure body is achieved for the first time, the core pain point that static design is difficult to adapt to dynamic climate change is solved, the system has self-learning ability and physical constraint guarantee, and the system has good application prospects. The method has wide application prospects in the fields of super high-rise buildings, data centers, medical clean spaces and the like.

The invention provides an existing building BEM modeling method, system and device based on an infrared thermal image of an unmanned aerial vehicle and a medium, and belongs to the technical field of building modeling. Generating a three-dimensional geometric model of the building main body; screening out an external window candidate area by analyzing RGB value characteristics of the visible light point cloud, generating a window opening three-dimensional boundary, and determining an internal surface temperature and an indoor air temperature through internal surface infrared temperature measurement and area weighted integration; and based on the temperature data and the building envelope construction parameters, inverting heat transfer coefficients of the outer wall, the roof and the outer window, and finally constructing a building energy consumption model in combination with the weighted average K value. According to the method, precise operation from building geometric model construction to thermal parameter acquisition and then building energy consumption model construction is realized. The efficiency and precision of BEM modeling of the existing building are improved, and a scientific basis is provided for building energy-saving transformation, energy consumption evaluation and the like.

The invention provides an energy-storage-free dynamic power supply method and system for a photovoltaic air conditioner. The method belongs to the technical field of building energy conservation and photovoltaic air conditioner control and comprises the steps that a photovoltaic output prediction value and an air conditioner load prediction value are obtained; time-of-use electricity price data serves as input, a linear programming model with the operation cost minimization as the target is constructed, and power is dynamically supplied to the air conditioner according to the power supply strategy and the time-of-use electricity price response strategy based on the linear programming model; the system can dynamically supply power to the air conditioner through photovoltaic in a non-energy-storage scene, so that the operation cost is minimized, the heat energy storage potential of a building envelope structure is developed, load cross-time transfer is achieved through pre-cooling / pre-heating, and the operation cost is further reduced.

The present invention belongs to the technical field of intelligent building energy management and control, and discloses a model-data dual-driven building energy management and control intelligent agent training environment creation method. The method is implemented by the following steps: First, a thermodynamic mechanism model of the building envelope structure and a simulation model of the HVAC system are constructed, and the two types of models are coupled through a joint simulation interface. Then, the existing building operation data is cleaned and repaired by time series alignment, missing value filling, outlier filtering, etc. to ensure data quality. Subsequently, the joint simulation model is run to generate output data such as hourly load and equipment status. Finally, through spatiotemporal label association and feature extraction, the cleaned and repaired measured data and the model output data are multi-source fused to construct a training database containing multi-dimensional features such as building thermal dynamic response and equipment operation characteristics, providing high-precision, full-scene training data support for the building environmental control intelligent agent.

The utility model belongs to the field of building photovoltaic technology, and relates to a photovoltaic ventilation enclosure structure system based on evaporative cooling, which comprises a building outer enclosure structure surface, a photovoltaic panel and a ventilation cavity, the ventilation cavity is provided with an air inlet and an air outlet, and the air inlet and the air outlet are respectively provided with shutters capable of being controlled to be opened and closed; a heat conduction or heat exchange device is arranged between the shady face of the photovoltaic panel and the outer wall of the ventilation cavity, and the surface of the building outer envelope structure and the photovoltaic panel are located on the two opposite sides of the ventilation cavity respectively. The passive evaporative cooling mode is clean, pollution-free, energy-saving, carbon-reducing, remarkable in cooling effect and economical; the mode of combining natural ventilation with evaporative cooling is adopted, the cooling effect is more obvious, meanwhile, the hot and humid environment of a building envelope structure can be regulated and controlled, and cold and hot load energy of a building is reduced.

The invention relates to the technical field of building energy saving and comfort level optimization, in particular to a building energy consumption and comfort level target optimization method and system based on a neural network and a genetic algorithm, by adopting the method provided by the invention, the weight and bias of a BP neural network are optimized through a grey wolf algorithm (GWO), and the prediction precision is improved; on the basis of a GWOBP model, NSGA-II is used for multi-objective optimization, a Pareto optimal solution is obtained, the optimal combination of the near-zero-energy-consumption residential building envelope structure (the types and thicknesses of wall bodies and roof thermal insulation materials, the types of windows and the horizontal sunshade overhanging length) and the number of ventilation times is selected, and the number of ventilation times is calculated. The problem of multi-objective optimization of annual primary energy consumption and annual uncomfortable degree hours of the residential building is solved, and an optimal balance point between the energy consumption and the comfort degree is found.

The invention relates to the technical field of building energy conservation and intelligent buildings, in particular to a load simulation calculation method and system for building energy efficiency, and the method comprises the steps: collecting multi-source data, and constructing a multi-dimensional data set; building load data is deconstructed into three kinds of heterogeneous modalities including a class sequence, a class image and a class video; calculating a dynamic correction coefficient based on the heat storage effect of the enclosure structure; respectively processing three types of heterogeneous modes through a BiGRU network, an STNN network and a 3DCNN network, and fusing and outputting an initial load by adopting Stacking ensemble learning; optimizing and outputting a final load prediction value through a multivariate feature recurrent neural network; the system integrates a multi-source data acquisition module, a multi-modal feature processing module, a physical correction module, a hybrid prediction module and a time sequence optimization module, and is deployed at an edge node through a knowledge distillation compression model. According to the method, a physical model and a data driving method are fused, and the problems that in the prior art, data processing is insufficient, feature construction is simple, a model fusion shallow layer is insufficient, and calculation architecture and timeliness are insufficient are effectively solved.

A building system and corresponding method may include a building structure. A building system and corresponding method may include a building envelope membrane installed on the building structure, the building envelope membrane comprising: a first release liner, wherein the first release liner comprises: a first polymer, and a UV stabilizer, wherein the first release liner includes 1 wt. % to 90 wt. % of the UV stabilizer based on a total weight of the first release liner, wherein the first release liner is an outer layer, wherein the first release liner is removable, a first adhesive layer, a membrane layer, wherein the first adhesive layer is positioned between the first release liner and the membrane layer; and a second adhesive layer, wherein the membrane layer is positioned between the first adhesive layer and the second adhesive layer, wherein the second adhesive layer contacts the building structure.

The invention discloses a CFD (computational fluid dynamics) and energy consumption simulation-based thermal performance optimization method for a transformer substation enclosure structure, relates to the technical field of transformer substation building energy conservation, and aims at solving the problem of excessive CFD simulation examples when an annual meteorological parameter-near wall surface temperature prediction model is constructed based on annual typical representative meteorological parameter identification of a clustering algorithm. A meteorological parameter-near wall surface temperature prediction model is constructed based on SVM regression, and the coupling problem of hour-level simulation step length between CFD simulation and energy consumption simulation is solved. According to the method, CFD and energy consumption simulation are coupled, and the problem that in the current energy consumption simulation process, the influence of a high heating source on the outer enclosure structure and building energy consumption is not considered is solved. Therefore, the accuracy of evaluation and optimization of the thermal performance of the enclosure structure of the transformer substation can be improved.

The invention discloses conductive flame-retardant thermal-insulation aerogel capable of enhancing room-temperature catalytic formaldehyde degradation as well as a preparation method and application of the conductive flame-retardant thermal-insulation aerogel, and relates to the technical field of graphene-based aerogel. The preparation method comprises the following steps: loading a transition metal oxide catalyst with a formaldehyde catalytic oxidation performance on a graphene oxide sheet layer through a coprecipitation method; uniformly mixing the graphene loaded with the transition metal oxide catalyst in a sodium alginate aqueous solution, and performing freeze drying; and soaking in a mixed solution containing calcium salt and boric acid for cross-linking reaction, and then freeze-drying again to obtain the product. The material has good flame retardance and thermal insulation performance, can enhance the catalytic oxidation efficiency of low-concentration formaldehyde at room temperature under the assistance of a stable and controlled external electric field, realizes the long-term catalytic degradation effect on formaldehyde at room temperature, and can be applied to the field of buildings, such as buildings, buildings and the like. The multiple purposes of efficient heat preservation of the building envelope structure, remarkable improvement of fireproof safety and effective control of indoor formaldehyde pollution are achieved.

The invention relates to the technical field of building carbon emission measurement and calculation, and provides a building envelope structure carbon emission dynamic measurement and calculation method which comprises the following steps: step 1, area delimitation: dividing building areas, and combining the same kind of building areas; step 2, individual enclosure structure collection: the unmanned aerial vehicle is used for aerial photography to collect all-angle camera pictures of the individual building enclosure structure in the building area; by considering different time variation and space planning of the building, the heat transfer process of the building envelope and the indoor temperature change are dynamically simulated, the carbon emission measurement and calculation result is updated in real time, and the dynamic change of the carbon emission of the building is reflected in time; the heat transfer and heating capacity of the building envelope structure can be accurately measured and calculated under the influence of solar radiation intensity and outdoor temperature change in different time periods of a building in one day and different orientations, different floors and surrounding environments of the building on heat transfer.

The invention discloses an energy consumption optimization method for integrating building structure parameters. The method comprises the following steps: acquiring geometric morphology, enclosure structure, equipment configuration, personnel activity and external environment data of a building in real time by using an intelligent sensor and a building information model; based on the collected data, calculating thermal load and energy consumption distribution of the building, extracting energy efficiency performance indexes, and establishing an energy efficiency baseline model; the thermal performance of the building envelope structure is dynamically adjusted by utilizing a self-adaptive envelope structure technology so as to adapt to external climate change and internal thermal load requirements; based on the optimized enclosure structure characteristics, an energy recovery system is started, and waste heat and air flow energy in the building are converted into available energy; in combination with energy efficiency data fed back in real time, the intelligent scheduling system dynamically adjusts the operation strategy of the building equipment, optimizes the energy efficiency, reduces unnecessary energy consumption and improves the comfort level; the building energy efficiency is evaluated regularly, and it is ensured that the building continuously maintains the optimal energy efficiency under different seasons, environment changes and use requirements.

The invention relates to the technical field of building energy-saving materials, in particular to a building envelope structure multifunctional composite energy-saving material and a preparation method thereof.The building envelope structure multifunctional composite energy-saving material is prepared from, by weight, 90-110 parts of lightweight aggregate, 15-30 parts of cement-based binder and 15-30 parts of microcapsule phase change unit; the particle size of the microcapsule phase change unit is 50-200 [mu] m, the microcapsule phase change unit is composed of a core-shell structure, the core of the microcapsule phase change unit is an organic phase change substance with the phase change temperature of 20-30 DEG C, and the shell of the microcapsule phase change unit is a cross-linked polymer layer doped with modified nano ferroferric oxide. The system effectively stabilizes indoor temperature fluctuation, reduces air conditioner energy consumption, can be widely applied to outer walls, inner walls, roofs, floors and other parts of buildings, and provides an efficient and energy-saving solution for modern buildings.

A multi-level data centre building 9001 has multiple floors within a first building envelope 903, with each floor (in plan view here fig 11 - figs 9, 10 show side views) accommodating rack storage are

The invention relates to the technical field of civil engineering construction, in particular to a permanent and temporary combined enclosure structure suitable for high slope excavation and a construction method. The building envelope comprises a first anti-slide pile, a second anti-slide pile and a support pile, the first anti-slide pile and the second anti-slide pile are arranged on the side close to the side slope, the support pile is arranged on the side not close to the side slope, the second anti-slide pile is located between the first anti-slide pile and the support pile, and the pile top elevation of the first anti-slide pile, the pile top elevation of the second anti-slide pile and the pile top elevation of the support pile are sequentially reduced. A connecting beam is transversely arranged between the pile top of the second anti-slide pile and the pile body of the first anti-slide pile, and a plurality of layers of transverse supporting structures are arranged in the foundation pit between the second anti-slide pile and the supporting pile. The permanent retaining structure of the side slope and the temporary enclosure structure of the subway station foundation pit are combined to form an integral structure, the safety and stability of the side slope and the foundation pit are ensured, meanwhile, coordination and unification with natural landscapes are achieved, and the ecological environment is protected.

Interlocking building blocks that, when connected together in a plurality of blocks, create a structural building envelope consisting of a continuously-insulated exterior-facing section and an interior-facing section consisting of open stud bays. The system of building blocks combines aspects of both stick-built and SIP-panel framing systems to provide simplified assembly and improved thermal performance while mitigating common issues with both systems regarding compromised structural and insulative integrity encountered in the build process.

The invention relates to the technical field of intelligent energy-saving planning, in particular to a near-zero-energy-consumption community precise planning platform, which is characterized in that a building environment heat and humidity monitoring module is used for acquiring environment parameters of community buildings, calculating air temperature and humidity gradients, setting humidity permeability coefficients, analyzing the influence of humidity on an aerodynamic environment and acquiring air humidity and wind speed correction data; according to the method, the air temperature and humidity gradient and the humidity permeability coefficient are dynamically monitored, quantitative analysis of humidity on the aerodynamic environment is achieved, and the accuracy of water vapor diffusion and building envelope heat exchange evaluation is improved. Through calculation of air flow density distribution and buoyancy driving force, a complete analysis framework from heat and humidity exchange to air flow backflow is constructed, the air flow backflow path of the building group is optimized, and the calculation precision of heat exchange between buildings is improved. In combination with damp and hot load calculation, load matching of cooling and heating equipment is more accurate, energy waste is reduced, and system stability is improved.

The invention discloses a regional heat supply system energy-saving optimization technology based on multi-dimensional intelligent prediction and cooperative regulation, which comprises the following steps: (1) establishing a heat consumer side mathematical model of a regional heat supply system, covering a heat exchanger, a secondary pipeline, a radiator and a building envelope structure, and obtaining an indoor temperature dynamic response model; (2) collecting multi-dimensional data such as primary and secondary loop temperature, pressure, flow, valve opening and indoor and outdoor environment in real time; (3) constructing an intelligent prediction model based on CNN and FCM, optimizing hyper-parameters by using BKA, and realizing high-precision short-term prediction of the water supply temperature of the secondary loop; (4) taking a prediction result as a target, and adopting a WOA regulated PID controller to accurately regulate a primary loop flow valve; and (5) dynamically adjusting the rotating speed of a secondary side water pump according to the temperature difference of supply water and return water of a secondary loop, optimizing system heat distribution and realizing real-time load adaptation. According to the invention, the problem of disjunction of regional heat supply prediction and regulation is solved, and a new method for realizing accurate temperature control and energy conservation is provided.

A building integrated photovoltaic (BIPV) system. The BIPV system includes a plurality of photovoltaic elements. A cable couples the plurality of photovoltaic elements to an energy storage. A plurality of cladding backplates secure the plurality of photovoltaic elements to a building envelope. Each of the cladding backplates including an upper ridge and a lower ridge to secure the photovoltaic element therebetween. A connection tab is positioned on a lateral side of the cladding backplate.

The embodiment of the utility model provides a modularized building envelope structure. The modularized building envelope structure comprises a wall body, a connecting plate, a first positioning groove, a fixing mechanism, a first positioning mechanism and a protection plate, the first positioning groove is machined in the connecting plate, the first positioning mechanism is arranged in the fixing mechanism, and the first positioning mechanism is used for fixing the protection plate; the fixing mechanism comprises a frame, a second positioning groove and a protruding block. The first positioning groove is machined in the side, close to the wall body, of the frame, the second positioning groove is machined in the side, close to the wall body, of the frame, the protruding block is machined in the side, away from the wall body, of the frame, the protruding block is matched with the second positioning groove, and the second positioning groove is matched with the first positioning groove. And the detachable frame and the adjustable protection plate are adopted, so that the use requirements in different environments can be met, the modularized installation mode is convenient for assembling personnel to assemble on site, and the application range is widened.

The invention relates to the technical field of detection equipment, in particular to on-site detection equipment and method for a heat transfer coefficient based on a building envelope. And the attaching assembly comprises a movable plate, and one side of the box body is fixedly connected with a movable sliding groove. According to the on-site detection equipment and method for the heat transfer coefficient based on the building envelope structure, the attaching assembly covers the side, attached to the wall surface, of the box body, the gasket is attached to the wall surface, and air between the gasket and the wall surface is extruded and exhausted, so that the gasket is adsorbed to the wall surface, and air entering is reduced together with the isolation cloth; the side, attached to the wall surface, of the box body is kept closed, the influence of external wind is isolated, the interior is kept warm, the gasket is heated to expand, the device is attached to the wall surface more tightly, meanwhile, extrusion force is provided for the box body towards one side of the wall surface through the moving cylinder, attachment of the box body and the wall surface is improved, meanwhile, supporting force is provided, the device is convenient to install, and the device is easy to operate and convenient to use. The device is convenient to install and suitable for on-site detection of building outer walls.

The present application relates to the technical field of building energy-saving design, in particular to a building envelope energy-saving scheme optimization method based on energy consumption simulation data analysis, comprising: obtaining the building envelope design scheme to be evaluated and annual hourly heat load, cold load and comprehensive energy consumption simulation data; calling an improved particle swarm optimization algorithm which is adaptive to the particle learning mode according to the dynamic coupling relationship between energy consumption simulation and envelope parameters, completing the iterative optimization of design scheme parameters and generating an optimized parameter set; performing multi-objective normalization processing on the optimized parameters to obtain the optimized values of heat transfer coefficient, shading coefficient, air tightness grade, etc.; inputting the comprehensive evaluation results into an economic evaluation model, combining energy prices and material costs, screening the economic feasibility scheme list that meets the energy-saving rate constraint, and finally determining the building envelope energy-saving optimization scheme.