368 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 discloses an all-air air conditioner regulation and control method based on indoor number of people and meteorological parameter changes, and belongs to the field of air conditioner control. The method comprises the following steps that meteorological parameters of an area where a building is located are obtained, building envelope parameters, indoor equipment power and the number of real-time personnel are determined, the needed fresh air volume and the load of an air conditioning unit are calculated, the air supply volume and the air supply temperature are determined, and the air supply volume is fed into an air conditioning space for airflow organization simulation. A PMV value is calculated according to the simulation result, when the PMV meets the requirement, regulation and control parameters of a fresh air valve and an air return valve of the air supply system are output, and the chilled water amount needed by the air volume and the water valve opening degree are calculated; and when the PMV does not meet the requirement, the opening degree of the air return valve is adjusted, and the model is re-established for iterative calculation until the PMV reaches a target value. Based on an air conditioning unit control mechanism, building dynamic load changes are combined, the PMV is used as an evaluation index, an air valve and a water valve are adjusted, the indoor design environment requirement is met, and support is provided for optimization design of a building air conditioner air and water system.

Structural insulated wall and roof sheathing systems for use in building construction designed to provide a structural building envelope that is moisture permeable but protects from bulk water, excess air, and thermal transfer.

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 discloses a digital typesetting design system and method for a clean workshop enclosure structure based on a BIM technology. The digital typesetting design system comprises a room processing unit which comprises a room generating unit, a room merging unit and a room separating unit; the typesetting area division unit is used for distinguishing room practice, cutting ceilings, combining the ceilings, typesetting partitions and cancelling the partitions; the typesetting unit comprises typesetting configuration and one-key typesetting; the top plate typesetting and adjusting unit comprises ceiling typesetting, top plate adjusting, top plate dividing and top plate combining; the wallboard typesetting and adjusting unit comprises wallboard typesetting, wallboard adjustment, wallboard segmentation and wallboard combination; the optimization typesetting unit is used for optimizing non-standard boards of the wallboards; the plate coding unit comprises coding rule definition, automatic coding and non-standard combination; and the typesetting result output unit is used for generating a plate purchase list, a profile purchase list and a typesetting drawing. According to the method, rapid and refined generation, three-dimensional intelligent typesetting, non-standard plate optimization and numbering drawing of the building envelope model can be realized, the building envelope typesetting efficiency and quality are improved, and the problems of low typesetting efficiency and insufficient optimization in an existing method are solved.

The invention discloses a phase-change artificial aggregate and a preparation method thereof, and relates to the field of concrete. The phase-change artificial aggregate comprises an artificial aggregate core body, a resin layer coated on the surface of the artificial aggregate core body and a cement layer coated on the surface of the resin layer, and the artificial aggregate core body comprises building waste, phase-change microcapsules and cement. The phase-change artificial aggregate provided by the invention can consume the building waste and reduce the accumulation of the building waste, the phase-change material is not easy to leak, has enough strength and phase-change heat storage capacity, can replace natural aggregate, and has stronger practicability as a building aggregate material. And the concrete is more suitable for being applied to concrete of a building envelope structure with heat storage and heat release functions.

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.

The invention discloses a dynamic building thermal load simulation method and device, heat supply equipment and a medium, and relates to the technical field of load prediction.The method comprises the steps that when the environment temperature changes, the first building unit area thermal load before change is determined, and the second building unit area thermal load after change is determined; determining a first heat change of the building external envelope structure and a second heat change of the building internal envelope structure caused by the environment temperature change; according to the difference value of the unit area thermal load of the first building and the unit area thermal load of the second building, the delay time is determined in combination with the heat change of the building envelope; and based on the delay time, the outdoor temperature before the delay time and the current indoor temperature are utilized to correct the unit area thermal load of the second building. By adopting the method, the calculation complexity of dynamic building thermal load simulation can be simplified, and the calculation of the delay time is more practical and operable.

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.

Embodiments herein describe a method including using one or more air quality sensors and an air purifier to detect and adjust air quality within a structure having a heating, ventilation, and air conditioning (HVAC) system, the air purifier having a first variable speed fan in an intake channel and a second variable speed fan in an exhaust channel, and, in response to detecting an adverse air quality event within the building envelope by one or more sensors, automatically adjusting a speed of the first variable speed fan and a speed of the second variable speed fan (i) to maintain an air flow ratio between air inflow and air outflow within the HVAC system, (ii) to introduce increased fresh and filtered air flow from outside, (iii) to increase filtration of indoor air, (iv) to monitor the ERV and filter performance, and (v) to send relevant maintenance notifications to the user.

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 a safety risk prevention and control method, system and device for an external envelope structure of a building and a medium. The method comprises the steps of obtaining three-dimensional scanning data of the building and generating a three-dimensional structure model of the building; structural features of the building are extracted from the three-dimensional structural model, a corresponding environment monitoring scheme is generated in combination with a clustering analysis algorithm, and the collection position and the data type of real-time environment data are determined; collecting real-time environment data of the external envelope structure, and dynamically filtering the real-time environment data based on an adaptive filtering algorithm to obtain standard environment data; analyzing the standard environment data by using a support vector machine algorithm, and triggering a safety early warning message under the condition that a sudden structure safety risk is identified; and obtaining structure multi-source data, predicting the structure multi-source data by using a preset safety prediction model to obtain a safety risk development trend of the building structure, and estimating a potential risk based on the safety risk development trend. The method has the effect of improving the safety of the external maintenance structure of the building.

The invention discloses a low-energy-consumption building enclosure structure, which relates to the technical field of building enclosure, and comprises an enclosure mechanism, the enclosure mechanism comprises a cross beam, a frame, a chute, a winding wheel and a traction rope; sliding mechanisms are symmetrically arranged on the two sides of the cross beam, each sliding mechanism comprises a water tank, a water inlet is formed in the top of one end of each water tank, a shell is installed on the side face of each water tank, a plurality of water outlets are formed in the side face of each water tank at equal intervals, and two sliding blocks are symmetrically fixed to the two sides of each water tank; the sliding blocks are connected into the corresponding sliding grooves in a sliding mode. A cleaning mechanism is mounted at the bottom of the water tank and comprises a cleaning brush; a scraping mechanism is arranged in the shell and comprises a plurality of lifting columns installed in the shell at equal intervals, and a scraping plate is jointly installed at the bottoms of the lifting columns. The device has the advantages of being capable of removing stubborn stains on the glass roof and effectively shoveling accumulated snow.

The invention provides a multi-objective optimization method for thermal performance of a residential building envelope structure, and relates to the technical field of building green energy conservation. MATLAB is used for carrying out multivariate nonlinear equation fitting to obtain the relation between the thermal performance parameters of the residential building envelope and the building heating energy consumption; establishing a relation between thermal performance parameters of a residential building envelope structure and full-life-cycle cost and full-life-cycle carbon emission through building heating energy consumption; constructing a thermal performance optimization function of the residential building envelope structure by taking the building full-life-cycle cost and the full-life-cycle carbon emission as the optimization direction; and solving the thermal performance optimization function of the residential building envelope structure by using a multi-objective genetic algorithm NSGA-I I to obtain a Pareto optimal solution set, calculating the close degree of each solution in the Pareto optimal solution set by using an entropy weight-TOPSIS method, and determining the optimal thermal performance parameters of the residential building envelope structure according to the close degree.

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 provides a building envelope heat transfer coefficient on-site detection device, and relates to the technical field of envelope heat transfer coefficient detection devices.The building envelope heat transfer coefficient on-site detection device comprises a protective cover and a heat flow meter sheet, a protective groove is formed in one side of the protective cover, a clamp is arranged in the protective groove, and the clamp is used for clamping the heat flow meter sheet; a constant-pressure driving mechanism is arranged in the protection groove and is used for driving the clamp and the heat flow meter sheet to move towards the outside of the protection groove; an annular sealing groove is formed in the side, close to the protection groove, of the protection cover. According to the on-site detection device for the heat transfer coefficient of the building envelope, through the arrangement of the protective cover, the heat flow meter piece, the clamp, the constant-pressure driving mechanism and the sealing mechanism, the heat flow meter piece can be protected, and the influence of various external factors on the heat flow meter piece is reduced; and meanwhile, the heat flow meter sheet can be driven to be attached to the detected surface of the building enclosure at constant pressure, so that the attaching tightness of the heat flow meter sheet and the detected surface of the building enclosure is ensured, and the accuracy of a detection result is ensured.

A method for determining leakages in a building envelope of a building including the following steps: a) generating a positive or negative pressure in the building for a predetermined time duration within a predetermined period of time, wherein the predetermined time duration is shorter that the predetermined period of time, b) recording several image data of the building envelope by infrared thermography during the predetermined period of time, c) repeating steps a) and b), and d) evaluating the image data. The temperature changes caused by the repetition of step a) at leakages in the building envelope due to outflowing or inflowing air are detected.

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.