33 results about "Built environment" patented technology

The application discloses a kind of deep learning crowd flow prediction methods of fusion built environment dynamic influence, comprising the following steps: S1, data acquisition and processing;S2, built environment dynamic influence modeling, the extraction of built environment dynamic influence effect is carried out;S3, construct spatiotemporal graph neural network fusion model;S4, the evaluation of model performance and the diagnosis of error are carried out;S5, output multi-time scale people flow prediction by spatiotemporal graph neural network fusion model.According to the present application, higher precision, stronger interpretability, crowd activity prediction can be adapted to multiple regions and multiple time periods.

This invention belongs to the field of fan control technology. It provides a laboratory exhaust gas-induced high-altitude jet fan control system, comprising: a multi-source data acquisition module for real-time acquisition of multi-dimensional time-series data related to laboratory exhaust gas emission safety, including fan operating parameters, building environment parameters, exhaust gas source equipment status parameters, and meteorological environment parameters; and a predictive maintenance and early warning module based on the multi-dimensional time-series data. By integrating multi-source data perception, chronic risk trend prediction, system vulnerability assessment based on digital twins, and graded resilience control strategies, a closed loop of "perception-prediction-assessment-decision-execution" is constructed. This achieves early identification, proactive early warning, and adaptive control of coupled risks between "equipment-building-environment-personnel," thereby enhancing the proactive safety capability to prevent toxic exhaust gases from entering the breathing zone of personnel.

The application relates to the technical field of building environment analysis, and discloses a building internal environment analysis method, device, equipment and medium, which comprises the following steps: constructing a three-dimensional geometric model of a target building interior; determining temperature-related data, speed-related data and material-related data of the target building interior; determining temperature boundary conditions according to the temperature-related data, determining speed boundary conditions according to the speed-related data, and determining material boundary conditions according to the material-related data; inputting the temperature boundary conditions, the speed boundary conditions and the material boundary conditions into a fluid simulation solver; and the fluid simulation solver couplingly calculates a preset iteration number of a temperature transport equation, a scalar transport equation of speed and a scalar transport equation of material to obtain temperature distribution data, airflow speed and material distribution data of the target building. The distribution data is real-time flow, and the application is more applicable.

The application discloses an indoor distribution cable path intelligent generation method combined with building environment characteristics, and comprises the following steps: constructing a semantic grid map capable of distinguishing different building function areas by performing layer identification, semantic annotation and space discretization on an input building plan design map; based on the semantic grid map, different basic passing generation values are given to different types of areas, and a dynamic engineering constraint function comprising a corner turning penalty and a wall sticking reward rule is defined; path search of an improved A* algorithm is performed, in an engineering constraint cost field fused with the basic passing generation value and the dynamic engineering constraint function, a heuristic search algorithm with a dynamic penalty term is used to calculate and generate a candidate cable path meeting engineering specifications; virtual convergence points are determined through node clustering, the path search algorithm is applied hierarchically, a backbone path limited in a public area is generated, branch paths entering rooms are generated, and a complete indoor distribution system cable path topology is generated by merging.

This invention discloses a method for identifying the suitable range of built environment features based on interpretable machine learning, comprising the following steps: S1, acquiring built environment data and preprocessing the data; S2, constructing and training a machine learning model; S3, extracting suitable intervals and identifying thresholds using the machine learning model; wherein, step S3 specifically includes the following steps: S31, performing interpretability analysis and main effect extraction using SHAP; S32, plotting fitting curves between built environment factors and target variables; S33, identifying the preliminary suitable range of built environment factors; S34, outputting the final suitable range of built environment factors; S35, performing difference identification analysis between actual built environment values ​​and suitable ranges. According to this invention, more accurate, interpretable, and people-oriented optimization of the urban built environment can be achieved.

This invention relates to the field of building environment, specifically disclosing an IoT-based building environment monitoring system. The system includes modules for data acquisition, constraint construction, data fusion, analysis model establishment, spatiotemporal variation verification and optimization, and environmental parameter evaluation. The data acquisition module establishes a three-dimensional coordinate system for the building and uses full-volume data. The constraint construction module preprocesses the data, calculates the spatial variation coefficient, temporal variation coefficient, and data fusion degree, and sets thresholds. The data fusion module extracts spatiotemporal features for multi-source fusion and outputs a standardized dataset. The analysis model establishment module outputs identification results through multi-dimensional analysis. The spatiotemporal variation verification and optimization module optimizes the identification results through multi-dimensional verification. The environmental parameter evaluation module calculates the deviation and comprehensive health index, and outputs tiered early warnings. This invention achieves three-dimensional dynamic monitoring, captures multi-parameter nonlinear coupling, and employs adaptive optimization strategies to improve evaluation accuracy.

The utility model discloses a kind of adjustable air volume air exchange port devices for outer wall embedded installation belong to building outer wall ventilation technical field, including main body shell, detachable shell panel, air duct, replaceable filter module and internal diffusion type air duct.Filter module is composed of activated carbon filter and allergen filter, with multiple purification function, effectively filter PM2.5, pollen and harmful gas.The device is also provided with negative ion sheet, further improve air purification effect, internal diffusion type air duct uses guide vane or honeycomb structure, avoid cold wind direct blow, improve comfort.In addition, the device is equipped with air volume adjusting mechanism, and the air exchange amount can be flexibly controlled according to requirements.The overall design is convenient to maintain, air-tightness is good, suitable for a variety of building environment.

This application relates to the field of building environment technology and discloses an air conditioning unit and air conditioning system. The air conditioning unit includes a controller, a first water supply channel, a first return water channel, a second water supply channel, a second return water channel, and a first flow regulating valve. The input end of the first flow regulating valve is connected to the first return water channel and the second return water channel, respectively, and the output end of the first flow regulating valve is connected to the second water supply channel. The controller is electrically connected to the first flow regulating valve and is used to control the opening degree of the first flow regulating valve. This application optimizes the structure and functional modules of the unit, thereby eliminating the external mixing center and integrating the mixing water generation and treatment functions inside the unit. This allows the mixing water to complete the circulation treatment within the unit, simplifying the system architecture, effectively improving energy utilization, reducing equipment operating costs and maintenance difficulty, and enhancing system stability and space utilization.

A health impact assessment method and system applied to urban planning schemes, the assessment method comprising the steps of: (1) based on the spatial data and attribute data of the present situation and the urban planning scheme; (2) calculating the PM2.5 change (Delta Air) and the physical activity change (Delta PA) of the present situation and the urban planning scheme scenario relative to the present situation; (3) calculating the disease incidence / death number change (H) caused by the urban planning scheme; (4) whether the planning scheme optimization is needed is judged by the evaluation personnel according to the output of step 3. The system comprises an index calculation module, a PM2.5 / physical activity change calculation module, a health result calculation module, a planning scheme optimization module and the like. Based on the evaluation path of "built environment-health risk / health behavior-health result", a complete quantitative health impact assessment method is constructed, which can face the urban planning scheme, calculate the health result change of the urban planning scheme relative to the present situation, and support the planning decision and the urban planning scheme optimization.

The present application relates to the field of intelligent transportation system and big data analysis technology, and more particularly to a shared bicycle rail connection analysis method considering travel stage built environment, comprising: obtaining shared bicycle order trajectory data in a target area, identifying travel behavior, performing OD mapping of the identified connection travel starting point-destination, and generating shared bicycle travel OD samples; performing shared bicycle trajectory data corresponding to the OD samples for riding path reconstruction and path restoration; for different travel stages of shared bicycle connection travel, corresponding built environment features are extracted respectively; based on the built environment features of different travel stages, prediction models for predicting shared bicycle use probability of rail transit inbound connection and outbound connection are constructed respectively; the prediction models are explained and analyzed, and key influencing factors and their action relationships are output. The present application can more comprehensively and truly reflect the formation mechanism of shared bicycle and rail transit integrated travel.

The application provides a method, device and equipment for predicting the ozone concentration of the outer facade of a high-rise building and a storage medium. It relates to the technical field of building environment simulation and air pollution prediction. The method first analyzes the near-wall area of the outer facade of a high-rise building using CFD technology, outputs key flow field parameters and wall ozone deposition flux gradient, and then combines the CFD simulation results with PINN to realize seamless transfer of physical quantities in the overlapping area through a dynamic coupling interface. PINN processes the free flow area, strengthens NO x reaction terms, intermediate layer embedded photolysis simplified eddy diffusion, high-rise building uses only first-order diffusion, outputs modified velocity field, ozone concentration and reaction rate. Finally, the system is trained jointly to optimize the model with a multi-objective loss function. This method has the advantages of small CFD wall flux error and efficient PINN calculation, solves the contradiction between efficiency and accuracy in prediction, supports real-time simulation, reduces data requirements, and enhances generalization.

The application discloses an integrated open-radiation air conditioner terminal system, and belongs to the technical field of building environment and heating ventilation air conditioning. The terminal comprises a radiation plate and a heat insulation drainage groove, both of which have decorative appearance surfaces and can be directly installed on a wall or a top surface and directly used as decorative surfaces, replacing traditional decoration materials. The radiation plate is internally provided with a refrigerant fluid channel, and the decorative appearance surface is provided with a high-emissivity coating and a hydrophilic or hydrophobic functional coating, so that the cold radiation capacity is enhanced and the condensate water form is actively controlled. The inner wall of the heat insulation drainage groove is provided with an antibacterial and mildew-proof coating for collecting and leading out the condensate water. The application realizes the integration of the radiation cooling device and indoor decoration, has the advantages of no noise, no wind feeling, convenient installation, beauty and reliability, and is suitable for open-radiation comfortable air conditioning systems.

This application relates to the field of smart city technology, and in particular to a method, electronic device, readable storage medium, and computer program product for the dynamic configuration of urban service facilities based on multi-source data. The method includes acquiring multi-source data of a target area; generating a human-scale spatial quality score based on dynamically sensed data, obtaining the spatiotemporal distribution characteristics of residents' activities, and calculating the coupling coordination degree between residents' behavior and the spatial environment; constructing an index system of built environment influencing factors at the urban scale based on static spatial data, and identifying key factors and their impact thresholds affecting spatial quality using the human-scale spatial quality score as the target variable; delineating service areas of different levels of living circles based on the spatiotemporal distribution characteristics of residents' activities, coupling coordination degree, key factors, and impact thresholds, and generating optimized configuration schemes and dynamic allocation instructions for public service facilities. This enables quantitative diagnosis of spatial quality and dynamic optimization of facility configuration.

The application discloses a kind of urban renewal project's street ventilation design management and control and multi-objective decision system, the present application relates to wisdom city planning and building environment digitization design technical field, including: data acquisition and twin construction module, for obtaining and fusing multiple-source city data, constructs and includes the digital twin of street three-dimensional form parameter and wind environment probability model;Ventilation efficiency measure and threshold management module.The urban renewal project's street ventilation design management and control and multi-objective decision system, support man-machine cooperation's parameterized scheme generation and multiple rounds, multi-objective optimization, it is changed into a kind of closed-loop intelligent decision-making mode based on quantitative analysis, automatic feedback iteration, from the planning mode of traditional experience judgment, each link disconnection, to effectively co-ordinate ventilation, sunshine, development intensity and so on multiple targets in scheme design initial stage, improve the scientificity and comprehensiveness of scheme, reduce environmental risk in later implementation.

This invention discloses a method for energy-saving intelligent control and peak-shaving / valley-filling coordinated operation of water-cooled central air conditioning systems, relating to the field of water-cooled central air conditioning control technology. The method collects data on chiller equipment, building environment, chilled water storage status, and grid-side operation to form a joint state variable. Based on the joint state variable, it predicts future cooling load, regional temperature, and baseline power, and establishes a peak-shaving cooling capacity account consisting of building thermal inertia cooling capacity, inherent chilled water network chilled water storage capacity, and physical chilled water storage capacity. Based on the peak-shaving cooling capacity account, comfort boundary, equipment safety boundary, and power limitation boundary, it generates a reduceable power envelope and a target power curve. Based on the target power curve, it forms an execution command frame and corrects the peak-shaving cooling capacity account according to the actual cooling load, actual system power, and actual regional temperature, forming a cooling capacity debt and a recovery power upper limit. This method is applicable to energy-saving operation, peak shaving / valley filling, and demand response control of water-cooled central air conditioning systems.

This invention discloses a method for measuring human brain cognitive maps using long-term temporal behavioral trajectory big data, comprising the following steps: acquiring data, extracting dwell events and movement events, and constructing a "state-action" trajectory sequence; calculating the built environment features of each dwell location; designing grid cell-inspired absolute and relative position codes to convert geographic coordinates into multi-scale, translation-invariant embedding vectors; constructing a Transformer-based encoder-decoder architecture; adopting a Bayesian iterative learning scheme based on the AVRIL framework; using the SHAP method to decompose the contributions of geographic location and built environment; inferring rewards for unvisited locations and generating a mental map heatmap; and outputting prediction performance indicators and interpretability analysis results. According to this invention, the structure is simple, the theoretical foundation is solid, and it possesses advantages such as high performance, high interpretability, and low manual intervention costs, showing broad prospects for promotion and application in the interdisciplinary fields of cognitive science, data science, and spatial information science.

The present application relates to the technical field of traffic demand management, and discloses a system for evaluating the correlation between urban built environment and climate factors and online car-hailing demand, comprising: an input module for obtaining grid-based urban built environment and climate data and corresponding online car-hailing demand data, and performing data cleaning and screening; an index module for calculating and storing a built environment index system related to online car-hailing demand, and quantitatively calculating the index values in the built environment index system according to the data input by the input module; an analysis module for establishing a multi-layer development model for analyzing the correlation between urban built environment and climate factors and online car-hailing demand according to the index values output by the index module; and an evaluation output module for obtaining evaluation results and performing analysis through the multi-layer development model. The present application comprehensively evaluates the correlation between various factors and online car-hailing travel demand, optimizes online car-hailing scheduling and resource allocation during urban construction, and improves the efficiency of online car-hailing operation services.

This invention relates to the field of building environment control and intelligent control technology for HVAC systems, and particularly to a fan energy-saving intelligent control system based on equipment detection. The system includes a condition sensing and acquisition module for acquiring the heat signal of cooking fumes, the continuous micro-pressure difference signal across the exhaust filter, the operating current signal of the exhaust fan, and the temperature and humidity sensing signals from indoor and outdoor air vents, generating a raw physical and environmental dataset. In this invention, the return air temperature and enthalpy parameters of the central air conditioning system are synchronously acquired through the IVCS host. The linkage logic is expanded from a single airflow balance to a comprehensive control mechanism that includes heat balance. While maintaining a slightly negative pressure state, cooling compensation calculations are performed based on the return air enthalpy deviation, creating a thermal-humidity coupling coordination relationship between exhaust, fresh air, and cooling adjustment, thereby improving the matching accuracy and adjustment rationality of the overall air conditioning system.

An additive manufacturing technique uses digital mask-based illumination and a polar-based build environment for increased throughput. In one embodiment, the build environment comprises a rotating element having a surface. A coater is configured to deposit photopolymer material on the rotating element at a given flow rate. As the element rotates and the coater deposits the photopolymer material, a radiation source of an image scanning system projects an array of point sources (an image) onto the photopolymer material for an exposure time to cure a given layer. As the photopolymer material is deposited layer-upon-layer, and for each layer, a control system adjusts a relative position of the coater with respect to the surface, adjusts a speed of rotation of the rotating element, and maintains the flow rate and the exposure time constant.

The application provides a kind of different built environment city rain flood risk assessment and optimization strategy generation method and system based on multi-dimensional coupling model, applicable to urban rain flood management and land space planning.The method integrates multi-source basic geographic data and built environment data to construct a target built environment database;different return period rainfall data is input into a one-dimensional-two-dimensional coupled hydrodynamic model to obtain street scale inundation depth, duration and flow rate and other disaster-causing elements;combined with built environment elements, the disaster-bearing characteristics are identified and the built environment types are divided;an index system for risk assessment is established to determine the rain flood risk levels and response laws of different types of built environment under multiple return periods;and then the classified optimization management strategies and spatial control measures are generated to improve the accuracy of urban rain flood risk assessment and the scientificity, applicability and refinement level of planning and control.

The application relates to a preparation method of a full-shielding infrared and ultraviolet transparent paint with a self-cleaning function, which belongs to the field of building environment-friendly materials. The method comprises the following steps: one, sequentially adding water-based fluorosilicon emulsion, deionized water, hydrophobic WO3-coated nanometer cesium tungsten bronze composite material and nanometer indium tin oxide-titanium dioxide compound into a dispersing tank for dispersion; two, grinding and then transferring into the dispersing tank for dispersion; three, adding an additive into the dispersing tank for continuous dispersion, so as to obtain the full-shielding infrared and ultraviolet transparent paint with the self-cleaning function. The transparent coating formed after the full-shielding infrared and ultraviolet transparent paint with the self-cleaning function prepared by the application is coated on glass, can shield more than 99% of infrared light and ultraviolet light, and can transmit more than 70% of visible light through the glass, so that the heat insulation and cooling effect of the glass is greatly improved without affecting the transparency of the glass, and the paint has good self-cleaning and stain resistance.

This application relates to the field of smart home and building environment control technology, and discloses an adaptive control method for bathroom ventilation that combines human behavior and air pollution. It collects and preprocesses multi-source environmental data and human status data of the bathroom space through a multi-source environmental information fusion sensing system. A scene recognition and control logic core system performs dimensionless processing and scene pattern recognition on the multi-source environmental data and human status data, classifying the bathroom space status into several typical scene patterns. The scene recognition and control logic core system executes a behavior-environment coupling weighted method to calculate the target value of the environmental pollution index. Based on the target value of the environmental pollution index, the scene recognition and control logic core system outputs control commands to the variable frequency airflow execution system to adjust the speed of the variable frequency exhaust fan. This invention avoids the problems of insufficient ventilation or energy waste caused by fixed airflow control, achieving a balance between spatial environmental quality control and equipment operating energy efficiency.

This invention discloses an integrated photovoltaic-radiation-energy storage intelligent building exterior wall unit and its control method, belonging to the fields of new energy utilization technology, building environment management, and energy efficiency optimization. The exterior wall unit comprises, from the outside to the inside, a photovoltaic power generation layer, a phase change energy storage layer, and a radiant terminal layer. This invention innovatively integrates power generation, energy storage, radiant heat exchange, and intelligent control. By sensing indoor and outdoor environmental parameters, it dynamically adjusts the light transmittance and operating mode of the photovoltaic layer, regulates the energy storage or release process of the phase change material, and switches the cooling or heating functions of the radiant layer. This not only achieves building energy self-sufficiency but also significantly reduces air conditioning energy consumption and improves building thermal comfort.

The present application belongs to the technical field of building environment and energy saving control, in order to solve the problems of low prediction accuracy and weak generalization ability of existing load prediction, a subway station air conditioning energy saving optimization method and system are proposed, based on the collected subway station air conditioning system multi-source operation and environmental characteristic data, the future cold load prediction value is predicted; The optimization target of maximizing the energy efficiency of the air conditioning system is constructed, the future cold load prediction value is taken as the constraint condition, the improved sparrow search algorithm is used to solve the optimization target, and the optimal operation parameters of the air conditioning are obtained; In the update stage, the cosine function is used to dynamically adjust the moving direction and step length of the whole body, and when the optimization process appears convergence stagnation in the late iteration, the Cauchy distribution disturbance is applied to the elite individual. Realize the integration of prediction-optimization-scheduling, effectively improve the overall energy efficiency of the subway station air conditioning system, realize the unity of energy saving and comfort.

A carbon capture system that is operationally related to the building environment is provided. This system may include a direct air carbon dioxide capture component that is operationally involved with the mechanical components of the building environment. A carbon capture system that is operationally related to the building environment is also provided. This system may include a direct air carbon dioxide capture component that is operationally involved with the combustion carbon capture system of the building environment. A method for capturing carbon dioxide related to the building environment is provided. This method may include involving a direct air carbon dioxide capture component with the mechanical components of the building environment to generate both a reduced carbon dioxide air stream and a carbon dioxide stream.

This invention discloses an indoor temperature and humidity control method, device, equipment, and medium, relating to the field of building environment control technology. The method includes: acquiring indoor and outdoor environmental data, equipment operating status data of multiple environmental control actuators, and real-time power grid data; extracting operating condition features based on the indoor and outdoor environmental data to identify target disturbance patterns; employing a two-layer prediction model, combining equipment operating status data to jointly predict indoor temperature and humidity parameters including absolute moisture content, and combining historical error data to perform online rolling correction of model parameters, obtaining prediction results including surface condensation risk parameters; constructing a multi-objective optimization function including comfort, energy consumption, condensation and mildew prevention determined based on condensation risk parameters, and peak power constraints based on real-time power grid data, and matching priority switching rules; using these rules and the optimization function to iteratively solve the prediction results to generate a hierarchical control strategy, enabling collaborative decoupling control of multiple environmental control actuators.

Computer-implemented methods for predicting baselines of time- series data are provided. The methods can include: using processing circuitry to generate a compact learned representation (CLR), calculating a similarity score; and using the processing circuitry to calculate a similarity score between a target CLR and a plurality of historical CLRs. Systems for dynamic baselining are also provided that can include: a data storage repository; a processing circuitry; and memory storing instructions that, when executed by the processor, cause the system to perform a computer-implemented method. Systems and methods for operating a building in the built environment are also provided, the systems and methods can include: a data storage repository; processing circuitry; and memory storing instructions that, when executed by the processor, cause the system to use the processing circuitry to generate a compact learned representation (CLR) for a time interval from a raw time-series data profile that includes External Environmental Data and Internal Environmental Data.