317 results about "Building unit" patented technology

A prefabricated building production line and a prefabricated building structure. The prefabricated building production line comprises an assembly conveyor line, a functional module conveyor line, a transfer mechanical arm, an assembly mechanical arm, and a control platform; an assembly area, a testing area, and an inspection area are arranged in order along a transport direction of the assembly conveyor line; the assembly conveyor line is used for conveying a building unit main body to be assembled; a plurality of functional module conveyor branch lines are arranged at the side of the functional module conveyor line away from the assembly conveyor line; the functional module conveyor line and the functional module conveyor branch lines are used for transporting a functional module; the transfer mechanical arm is used for carrying a functional module and the building unit main body to be assembled; and the assembly mechanical arm is used for installing the functional module on the building unit main body to be assembled. The prefabricated building structure comprises: a lifting device for prefabricated building installation, an prefabricated building ventilation structure, a prefabricated building automated production fixture, etc.

The invention relates to the technical field of environment monitoring, in particular to a pollution source online monitoring and analysis system and method, and the system comprises a map building unit which is used for carrying out the three-dimensional map modeling of a target monitoring area; the man-machine interaction unit is used for issuing a monitoring control command; the acquisition monitoring unit is used for calculating data sampling density and acquiring environment data; the threshold value early warning unit is used for comparing data to judge whether the pollution source is a suspected pollution source or not; the pollution confirmation unit is used for setting an identification framework for the received environmental data of the suspected pollution source so as to judge whether the suspected pollution source is a real pollution source or not; and the diffusion analysis unit is used for matching the environmental data of the real pollution source with the pollutant diffusion model to obtain the diffusion range of the real pollution source. According to the invention, through environment data acquisition of the unmanned ground vehicle, multiple environment data of a water area and soil can be obtained in real time in a target monitoring area, so that pollution conditions can be found and responded in time, and potential hazards caused by environment pollution are reduced.

The invention discloses an anti-seismic strengthening method and system suitable for historical buildings, and relates to the technical field of existing building strengthening. The invention discloses an anti-seismic reinforcement system suitable for historical buildings. The anti-seismic reinforcement system comprises a data modeling module, a risk assessment module, a disturbance analysis module, a buffer decision module, a reinforcement early warning module, a component reinforcement decision module, a collaborative reinforcement decision module and a scheduling optimization module. According to the method, the linkage stress relation and the collaborative response characteristics are identified by establishing the structure coupling model of the adjacent buildings and a strength correlation analysis method, and a theoretical basis and a judgment standard are provided for collaborative reinforcement of cross-building units; the collaborative reinforcement strategy is generated according to the linkage requirement, the collaborative mode and the deployment position are defined, and the overall coordination of the community-level reinforcement scheme and the linkage toughness of the structural system are enhanced.

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.

The invention provides a heterogeneous building air conditioner group quick response control method based on physical information deep learning, and the method comprises the steps: 1, obtaining a real-time discrete step scheduling instruction issued by a power grid, obtaining the thermodynamic parameters and equipment inertia time constants of all building units in a heterogeneous building group, obtaining the outdoor temperature, and carrying out the real-time discrete step scheduling instruction; the solar radiation intensity and the indoor air temperature of each building unit; step 2, extracting spatial-temporal characteristics of each building unit based on a multi-head self-attention mechanism, and generating initial distribution target power of the air conditioner; 3, inputting the initial allocation target power into a pre-trained cascaded physical information neural network (PINN), and predicting power and temperature evolution tracks in a future scheduling period; 4, calculating an out-of-limit risk index of each unit, judging whether to execute a quantile risk migration strategy or not, and generating a final distribution target power of the air conditioner; and 5, calculating the transient climbing deviation between the actual aggregation power and the target power of the power grid, and carrying out deviation compensation.

The invention discloses a submarine cable construction ship extremely-short-term motion response prediction method and system, and relates to the technical field of ship motion control in ocean engineering. Comprising the following steps: acquiring six-degree-of-freedom time sequence data based on a ship-borne inertial measurement unit of a submarine cable construction ship, and constructing a data set; the data set is preprocessed; constructing a model CNN-RSBU-BiLSTM (Convolutional Residual Shrinkage-Bidirectional Long Short Term Memory) with fusion of the convolutional residual shrinkage; the model CNN-RSBU-BiLSTM is trained by means of the data set obtained after preprocessing is carried out on the model CNN-RSBU-BiLSTM; and inputting the six-degree-of-freedom time sequence data acquired and preprocessed in real time into the trained model, and outputting an extremely short-term six-degree-of-freedom motion response prediction result of the submarine cable construction ship. According to the method, the multi-scale feature extraction capability of the one-dimensional convolutional neural network, the noise reduction enhancement effect of the residual shrinkage building unit and the digging capability of the bidirectional long-short-term memory network on the time sequence dependency relationship are combined, so that accurate prediction of the extremely-short-term six-degree-of-freedom motion response of the submarine cable construction ship is realized, and the prediction accuracy is effectively improved.

The invention discloses an automatic building design effect picture generation method and system, a medium and a program product, and the method comprises the steps: obtaining three-dimensional geometric data of a building group, and building a spatial visual importance network of the building group according to the three-dimensional geometric data; the building group is divided into a plurality of visual correlation sub-regions based on the spatial visual importance network, the spatial entropy value of each visual correlation sub-region is calculated, and the spatial entropy values are used for representing the spatial distribution complexity degree of building units in the visual correlation sub-regions; according to the spatial entropy values and the three-dimensional geometric data of the building units in the visual association sub-regions, generating a multi-level detail model corresponding to each visual association sub-region; constructing a rendering pipeline based on the multi-stage detail model and the connection weight; and performing visual consistency synthesis on the output result of the rendering pipeline to generate a building design effect picture of the building group. The real-time performance and practicability of building design effect picture generation are improved.

The invention discloses a building cluster demand response coordinated multi-objective optimization scheduling method and system, and the method comprises the steps: predicting the energy demand and supply information of a building cluster, and building an energy transaction model of a building unit and the cluster based on renewable energy supply and battery storage electric energy; the building cluster is integrated into a single entity, the energy supply of the single entity is the total energy supply of all buildings, the energy demand is the total energy demand of all buildings, the battery capacity is the total battery capacity of all buildings, and the energy transaction model takes a cost function of the whole cluster as a target function; and optimizing the overall cost function of the building cluster through an iterative demand response algorithm, calculating to obtain an optimal operation parameter, controlling the operation of each building unit according to the optimal operation parameter of the cluster by using a nonlinear programming algorithm, and carrying out multi-target optimization scheduling on the building cluster. Flexible resources in the building cluster can be fully utilized, and efficient utilization and supply and demand balance of energy are achieved.

The invention discloses an electronic brake booster rollback fluid infusion method and system and an automobile, and the method comprises the steps that in the braking process, a pressure buildup unit is controlled to build brake pressure for a wheel end brake cylinder; acquiring a liquid quantity state of a brake system; the liquid quantity state of the braking system comprises the braking demand liquid quantity V1 needing to be consumed by a brake cylinder at the wheel end after braking during current driving, the maximum effective braking liquid quantity V2 capable of being provided by the braking system after braking during current driving and the total consumed liquid quantity V3 when the braking intention of a driver is reached after braking during current driving; determining whether the liquid quantity state of the brake system meets a liquid supplementing condition or not; and if yes, the pressure buildup unit is controlled to obtain the brake fluid from the brake fluid storage pot. According to the system, it can be ensured that enough liquid amount exists in the system to support pressure building, the situation that after the ABS function of a vehicle is activated, the brake liquid amount in the pressure building unit is not enough to continue to support the brake requirement of the next cycle is prevented, and the time of returning and liquid supplementing of the brake system can be accurately recognized.

The invention discloses a multi-site resource and task scheduling system and scheduling method based on an improved DQN, and the system comprises a multi-dimensional model building module which is used for building a multi-dimensional model for dynamic resource scheduling and comprises a resource space formalized definition unit, a task space multi-dimensional modeling unit, a multi-objective optimization problem building unit and a dynamic scheduling process formalized description unit; the improved DQN scheduling model construction module is used for constructing a scheduling model based on an improved DQN and comprises a Markov decision modeling unit, a double-flow Q value estimation network construction unit, a spatial-temporal feature encoder construction unit, a priority experience playback mechanism construction unit and a training optimization strategy unit; according to the method, the efficiency and accuracy of resource scheduling in various fields can be improved, the model algorithm can quickly adapt to new scenes through fine adjustment, repeated parameter adjustment is reduced, and the method has wide application prospects and remarkable economic benefits.

A lower connector includes a lower connector hollow body, a pair of lower connector bosses coupled to the lower connector hollow body, and a pair of lower connector arms coupled to the lower connector bosses. A connector assembly includes an upper connector coupled to a lower connector and a gusset plate sandwiched between the upper and lower connectors.

The invention relates to a frame structure analysis method and system under the impact load effect, and the method comprises the steps: carrying out the modeling of a frame structure based on the basic information of the frame structure of a preset building unit, and obtaining a frame structure model; a load time history curve of the impact load acting on the preset building unit is constructed, and the load time history curve represents the change of the acting force of the impact load along with time; and based on the frame structure model and the load time history curve, solving a frame structure analysis result of the preset building unit under the action of the impact load. By means of the method, dynamic anti-explosion analysis combining the frame structure model and the load time history curve is achieved, the limitation of a traditional equivalent static method or a simplified dynamic model is broken through, the influence of key parameters on a structure damage mode can be quantified, transient nonlinear response under the action of shock waves can be accurately captured, and the anti-explosion effect is improved. The problem of how to accurately analyze the frame structure of the building under the action of the impact load is solved.

The invention discloses a power industry network security collaborative defense system based on a threat hunting technology, and particularly relates to the technical field of network security defense, and constructs a threat intelligence defense model comprising a threat intelligence sharing platform, a multi-layer defense architecture building unit, a network attack behavior analysis unit and a risk visual display unit. Security log information in a power system is collected and analyzed in real time, potential network security threats are found in time, and early warning is automatically given out. Acquiring network security threat information by building a threat intelligence sharing platform and a multi-layer defense architecture building unit; therefore, rich intelligence resources are provided for the risk visualization display unit, the risk visualization display unit can identify and analyze potential threats more accurately, quick response and effective disposal of the threats are achieved by establishing a linkage response mechanism among the hierarchies, and the risk visualization display unit is more efficient. The problem that in the prior art, a power industry network security cooperative defense system cannot provide perfect network security threat information is solved.

In some examples, a machine learning model may be trained to denoise an image. In some examples, the machine learning model may identify noise in an image of a sequence based at least in part, on at least one other image of the sequence. In some examples, the machine learning model may include a recurrent neural network. In some examples, the machine learning model may have a modular architecture including one or more building units. In some examples, the machine learning model may have a multi-branch architecture. In some examples, the noise may be identified and removed from the image by an iterative process.

The present invention relates to a training method for a carbon emission prediction model, belonging to the technical field of carbon emission prediction, and solves the problem of low prediction accuracy in the prior art. The method includes: obtaining the historical carbon emissions of a construction unit and the corresponding carbon emission-related factor data; constructing a training sample set based on the historical carbon emissions and the corresponding carbon emission-related factor data; constructing a multi-step time series prediction model for predicting the carbon emissions in multiple future time steps; the multi-step time series prediction model includes: a static feature extraction module for extracting static features based on static data; a time series feature extraction module for extracting time series features based on multi-dimensional time series data; a feature fusion module for fusing the static features and the time series features; a prediction module for predicting the carbon emissions in multiple future time steps based on the fused features; training the multi-step time series prediction model based on the training sample set to obtain a carbon emission prediction model. Accurate carbon emission prediction of construction units is achieved.

The invention relates to a zero-carbon park planning method based on full-life-cycle carbon neutralization, belongs to the technical field of carbon emission planning, and solves the problem that refined carbon control planning cannot be performed in the prior art. The method comprises the following steps: acquiring historical carbon emission of a park building unit and corresponding carbon emission related factor data; constructing a training sample set based on the historical carbon emission of the building unit and the corresponding carbon emission related factor data; constructing a time sequence prediction neural network model, and training the time sequence prediction neural network model based on the training sample set to obtain a carbon emission prediction model; predicting the carbon emission of each building unit in the park based on the carbon emission prediction model, and determining a key management and control building unit based on the predicted carbon emission; and determining planning improvement measures of the key management and control building units based on the sample data of the key management and control building units. And refined carbon control planning is realized.

The invention discloses a heat exchange station circulating pump control system based on tail end pressure difference, and relates to the technical field of heat supply system automation control. Comprising a tail end pressure difference monitoring module which is arranged on a water supply and return pipeline of a building unit at the tail end of the heat supply pipe network and used for collecting pressure signals of a water supply pipe and a water return pipe in real time; the data transmission module is used for uploading the pressure signal to the cloud platform; the data processing and control module comprises a cloud platform and a heat exchange station PLC, the cloud platform receives the pressure signal and obtains an actual pressure difference delta P, the actual pressure difference delta P is compared with a preset expected pressure difference delta P, and an adjusting instruction is generated; and the execution module comprises a frequency converter and a two-network circulating pump, and the PLC adjusts the output frequency of the frequency converter according to the adjusting instruction so as to change the rotating speed of the circulating pump, so that the actual pressure difference delta P approaches the expected pressure difference delta P. The real-time pressure difference of the pipe network tail end is remotely monitored, the rotating speed of the two-network circulating pump is dynamically adjusted, it is ensured that the heat supply pressure of a tail end user is stable, and meanwhile system energy consumption is reduced.

The invention relates to the technical field of industrial production data optimization, in particular to an industrial big data informatization system for industrial production, which comprises a dust concentration monitoring unit, a physical model building unit, a machine learning algorithm unit and a dynamic compensation mechanism unit, the dust concentration monitoring unit obtains dust concentration, particle size and density information through a laser beam and a photoelectric detector, the physical model building unit builds an illumination intensity correction model and a pressure sensor mechanical model based on the Mie scattering theory, the Lambert-Beer law and the like, and real-time optimization is conducted through the self-adaptive optimization module. After the machine learning algorithm unit preprocesses sensor and dust data, a support vector regression algorithm is utilized to predict data deviation, the signal compensation module adjusts a compensation value in combination with a physical model correction result, and the dynamic compensation mechanism unit corrects an original output signal of the sensor in real time according to a model calculation and machine learning correction result. The industrial production efficiency is improved.

The invention discloses a modular combined steel-concrete building unit which comprises a steel column, a top beam, a bottom beam and an L-shaped steel piece. The top beam and the bottom beam are connected to the top and the bottom of the steel column respectively to form a rectangular box type structure. The L-shaped steel pieces are fixed to the steel columns and located on the first outer vertical face and the second outer vertical face of the modular combined steel-concrete building unit, and the first outer vertical face and the second outer vertical face are two opposite vertical faces of the modular combined steel-concrete building unit. The postures of the L-shaped steel parts located on the first outer vertical face and the postures of the L-shaped steel parts located on the second outer vertical face are inverted, and through holes used for installing bolts are formed in the L-shaped steel parts. The L-shaped steel parts of the left side modular combined steel-concrete building unit are engaged with the inverted L-shaped steel parts of the right side modular combined steel-concrete building unit; the steel columns of the adjacent modular combined steel-concrete building units are connected together, and the bearing capacity of the whole building is improved.

The invention discloses a heat supply pipe network monitoring method and system based on temperature balance, a medium and a product, and relates to the field of data monitoring. According to the method, the monitoring system periodically collects the real-time operation parameters of all the building units in the heat supply pipe network, the initial flow distribution coefficient of all the building units is calculated according to the water supply and return pressure difference, and the final flow distribution coefficient is obtained by combining building unit occupancy rate correction. And the monitoring system calculates the temperature balance degree of each building unit according to the return water temperature and the indoor temperature so as to determine the temperature balance index of the heat supply pipe network, further draws a pipe network temperature balance change curve, and determines the adjustment sensitive time period according to the curve slope. According to the dynamic monitoring mode based on temperature balance, heat supply abnormity can be found in time, the data collection frequency and the alarm threshold value are adjusted in a self-adaptive mode according to the sensitive time period where the building unit is located, the abnormity detection accuracy is improved, meanwhile, resource waste caused by excessive collection is avoided, and refined monitoring of the heat supply pipe network is achieved.

Described are a gas-permeable electronically conductive plate for use as porous transport layer for an electrolyzer and a process for preparing said gas-permeable electronically conductive plate. a building unit for an electrolyzer, and an electrolyzer.

The present disclosure provides systems and methods for printing three-dimensional (3D) objects. A system for printing a 3D object may comprise at least one platform configured to hold a film of at least one mixture, a deposition unit for providing the film of the at least one mixture, and a building unit for forming at least a portion of the 3D object from the film of the at least one mixture. The system may further comprise a controller operatively coupled to the at least one platform. The controller may be configured to direct the at least one platform to move from the deposition unit to the building unit, or vice versa, along a plurality of non-overlapping paths.

The application discloses a modular building unit structure and a modular building. The modular building unit structure comprises four cuboid building frame units, a supporting column movably connected between one straight angle end of each of the building frame units, the four building frame units distributed on the same plane, and the straight angle ends of the building frame units provided with the supporting column gathered and fixedly connected with each other, and the supporting column movable to approach or move away from the straight angle end of the building frame unit. The modular building unit structure and the modular building can remove the supporting column at the intersection of the four building frame units, so that the independent spaces in the four building frame units are connected to form a large space, the reconstruction of a large-span space can be realized on site, the reconstruction mode is simple and convenient, and the reconstruction mode can be adapted to various application scenarios.

Conditioning device (10) for a fuel cell system (12) with at least one fuel cell, wherein the conditioning device (10) serves both to humidify and to temperature-control a first material stream (20, 22), wherein a first unit (41) serves to temperature-control the first material stream (20, 22) and a second unit (45) primarily serves to humidify the first material stream (20, 22), and the first unit (41) and the second unit (45) together form a building unit (40), wherein the first material stream (20, 22) is a cathode or anode input stream (20, 22), in particular the cathode input stream (20), and a second material stream (21, 23, 24) for heat transfer in the first unit (41) is a cathode or anode output stream (21, 23) or at least a partial stream of a coolant stream (24) which is in a cooling system (30) of the fuel cell system (12) is manageable, and a third material stream (21,23,24) for the release of moisture in the second unit (45) is a cathode or anode output stream (21, 23) or at least the partial stream of the coolant stream (24), characterized in that a heat exchanger (49), in particular a further shell and tube heat exchanger, is arranged in the first unit (41), wherein the heat exchanger (49) serves for temperature control, in particular for cooling, at least one partial stream (24.1, 25.1) of the second mass stream (21, 23, 24) by the third mass stream (21, 23, 24).

A modular building assembly (12) comprises: a first modular building unit (14) comprising an internal volume (16), the first modular building unit having a base (154) and a footprint (18); and at least one further modular building unit (20) comprising an internal volume (22), said further modular building unit configured to be positioned on top of the first modular building unit overlying a first portion (24) of its footprint. The first modular building unit comprises a ceiling structure (342), the ceiling structure comprising: a first section (344) defining at least one first surface (348) configured to support said further modular building unit, said first surface disposed at a first height (H1) relative to the base; and a second section (346) positioned laterally relative to the first section overlying a further portion (27) of the footprint, the second section defining at least one second surface (350) disposed at a second height (H2) relative to the base which is greater than the first height, said second surface configured to support or define at least part of a floor (76) for an upper storey (36) of the building.

The invention provides a large model management software and hardware integrated device and a management method. The large model management software and hardware integrated device comprises a heterogeneous computing unit, a computing power processor integrating multiple architectures and a storage device. The framework scheduling unit is deployed on the heterogeneous computing unit, dynamically allocates computing power based on physical resources of the heterogeneous computing unit and adapts to an AI framework; the model full-period management unit is used for directly calling the execution capability of the framework scheduling unit and completing model training, parameter storage and reasoning service packaging; the application construction unit is connected with the reasoning service of the model full-period management unit through a standardized interface and provides knowledge enhancement, agent cooperation and application arrangement capabilities; and the optimization decision-making unit is used for collecting operation data of the heterogeneous calculation unit and the model full-period management unit in real time, dynamically generating a resource configuration strategy and feeding back the resource configuration strategy to the framework scheduling unit to form closed-loop control.

The invention provides a multi-end type functional building block, a building block unit and a building block toy, the multi-end type functional building block is provided with a three-part shell and a three-dimensional type electric function assembly arranged on the shell, the three-dimensional type electric function assembly comprises an electric component and a plurality of electric connection accommodating components, one end of each electric connection accommodating component is an electrode part, and the other end of each electric connection accommodating component is an electrode part; the electrical connection accommodating component is embedded in the positioning notch in the shell and extends to the electrical component in the middle in the shell, so that one end of the electrical connection accommodating component can be used as an electrode in contact with other functional building blocks, and electrical connection between the electrode and the electrical component in the shell is realized through the relatively rigid electrical connection accommodating component; therefore, the number of the electric contacts can be reduced without using a soft wire, so that the electric connection structure in the shell is simpler, the reliability is higher, poor contact and even disconnection are not easy to occur, the production and the assembly are easier, and the production period is shorter. And the building block is provided with a plurality of splicing ends, so that the building block has very high splicing degree of freedom.

The invention discloses a drawing rope type supramolecular subject-guest as well as a preparation method and application of the drawing rope type supramolecular subject-guest. The construction unit of the drawing rope type supramolecular subject-object is an assembly constructed by taking a structure as shown in a formula I as a subject macroring and a structure as shown in a formula II as a guest molecule through non-covalent interaction. The drawing rope type supramolecular host-guest is high in thermal stability and can resist high temperature, mechanical properties of a polymer in the aspects of hardness, toughness and strength can be comprehensively improved by adding the drawing rope type supramolecular host-guest into a polymerizable system, and regulation and control of the mechanical properties of the polymer can be achieved by changing the proportion of host macrocycles to guest molecules. Therefore, the functional polymer with various mechanical properties is obtained.

Prefabricated wall panels simplify the constructive of building units and other structures. The prefabricated wall panels can include a set of conduits pre-installed within the wall panels that enable simplified installation and conduit routing within a building unit or structure. The set of conduits can include electrical conduit, plumbing conduit, HVAC conduit, networking conduit, fire alarm conduit, and fire sprinkler conduit. The prefabricated wall panels can include above-door cavities to assist with structure design and coupling conduits between prefabricated panels. The prefabricated panels can additionally include dual-headed fire sprinklers that enable one fire sprinkler conduit to spray into multiple rooms, reducing the overall number of fire sprinkler conduits required within a structure.