240 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 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 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.

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 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 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 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.

The application discloses a connecting structure of assembled synthetic buildings and a construction method thereof, and relates to the field of building construction.The connecting structure comprises adjacent connecting walls of adjacent prefabricated building units, and a reinforcing area (4) is arranged at the two ends of the two adjacent connecting walls; a plurality of columns of vertically arranged embedded parts (5) are fixedly arranged on the opposite sides of the two adjacent connecting walls; the embedded parts (5) on the two sides are horizontally corresponding and are connected through a middle connecting part (6); the middle connecting part (6) comprises a vertical rod (62) and a plurality of middle connecting plates (61) which are fixed to the vertical rod (62) and are provided with two left and right connecting holes (63); and the embedded parts (5) on the left and right sides and the middle connecting part (6) are connected together through vertical string reinforcing bars (7) which pass through the connecting holes (63) and vertical through holes (51). The connecting structure of the assembled synthetic buildings is simple to operate and easy to realize, the overall stress of the connecting part of the adjacent walls is better, and the connecting structure can save labor and reduce construction cost.

The invention discloses COFs (covalent organic frameworks) as well as a preparation method and application thereof, and belongs to the technical field of preparation of covalent organic framework materials. The preparation method of the COFs comprises the following steps: adding a building unit containing an amino functional group and a building unit containing an aldehyde functional group into an acetonitrile-polyethylene glycol homogeneous solution, carrying out ultrasonic treatment until solids are completely dissolved, then adding diluted hydrochloric acid, uniformly mixing, carrying out a heating reaction for 4-36 hours at the temperature of 30-80 DEG C, separating precipitates, and drying to obtain the COFs. The detection sensitivity is high and the speed is high. The prepared COFs are spherical, the overall pore size distribution is uniform, and the porosity is high. The COFs disclosed by the invention not only have good crystallinity and morphology of the COFs, but also show good fluorescence characteristics, are used for sensitively detecting TNP in a water environment, generate extraordinary specific surface area and porosity, expose more active sites and generate strong adsorption capacity, and can be used as an adsorbent of TNP.

The invention discloses an inverter post-evaluation method and device, equipment and a medium, and the method comprises the steps: determining the complete machine fault frequency, the complete machine fault type, the construction unit fault frequency and the construction unit fault type of a to-be-evaluated inverter through complete machine fault data and construction unit historical fault data; determining a first post-assessment score of the to-be-assessed inverter based on the complete machine fault frequency and the complete machine fault type of the to-be-assessed inverter, and determining a second post-assessment score of the to-be-assessed inverter based on the construction unit fault frequency and the construction unit fault type; based on the after-sales service data, determining a service type of the to-be-evaluated inverter, and based on the service type, determining a third post-evaluation score corresponding to the after-sales service data; and based on the first post-evaluation score, the second post-evaluation score and the third post-evaluation score, determining a comprehensive post-evaluation score of the to-be-evaluated inverter, thereby realizing comprehensive quantitative evaluation of the comprehensive quality and service level of the inverter, and effectively improving scientificity of equipment type selection and operation and maintenance decision.

There is disclosed a modular building assembly configured to form at least part of a building (10), a building system and a building comprising the modular building assembly, and a method of constructing a building using the modular building assembly. One exemplary modular building assembly (12) comprises a first modular building unit (14) comprising an internal volume (16), the first modular building unit having a footprint (18), and at least one further modular building unit (20). The further modular building unit comprises: a room section (21) defining an internal volume (22) configured to form at least part of at least one room of the building; and a floor section (26) extending laterally from the room section. Said further modular building unit is configured to be positioned on top of the first modular building unit so that the room section overlies a first portion (24) of the footprint of the first modular building unit, and so that the floor section overlies a further portion (27) of the footprint.

This invention discloses a big data-based line loss anomaly analysis and operation monitoring system, relating to the field of power system technology. It includes a region division unit, a data acquisition and analysis unit, a virtual model building unit, and a platform sharing and management unit. The region division unit is electrically connected to the data acquisition and analysis unit and the virtual model building unit. The virtual model building unit is also electrically connected to the platform sharing and management unit. In the process of line loss anomaly analysis and monitoring, this invention pre-divides the power grid region and builds a virtual simulation model based on the divided region. Within the constructed simulation model, corresponding regional sub-models are built for each divided region. After data acquisition and analysis, the results are directly reflected in the constructed model, allowing for feedback on the specific situation within the region.

The invention discloses a military crane chassis fault reproduction and practical training system based on working condition simulation, and relates to the technical field of military equipment practical training, and the system comprises an entity chassis building unit which selects and uses entity parts of subsystems of a military automobile crane to be arranged and installed according to a real automobile, retains a key relation, presets an interface, defines a safety threshold value and the like; the dual-mode fault generation unit constructs an initial library, and an intelligent agent is embedded to generate a fault; the multi-dimensional data acquisition unit responds to the trigger signal to acquire multiple types of data; the fault diagnosis practical operation unit is used for trainees to operate; the training evaluation and fault iteration unit generates a report and feeds back optimization suggestions; according to the invention, a dual-mode fault generation unit is constructed, an initial fault library and an intelligent agent exploration capability are integrated, a screening algorithm is matched, and multiple fault scenes are provided; a complete practical training system is built, multi-dimensional data acquisition is achieved, practical operation and evaluation iteration are standardized, the practical training quality is improved through closed-loop design, and the military crane chassis fault practical training requirements are met.

Methods for synthesis of hierarchically ordered zeolites and zeolite-type materials are provided. Synthesized hierarchically ordered zeolites and zeolite-type materials formed according to the methods herein possess a high-degree of well-defined long-range mesoporous ordering. The methods include base-mediated reassembly, by dissolution of the parent material to the level of oligomeric structural building units of the parent material, and minimizing or avoiding amorphization / structural collapse. The dissolution and self-assembly is comprehensively controlled to produce hierarchically ordered zeolites and zeolite-type materials according to the methods herein.

The invention discloses an urban building unit data acquisition method based on machine learning, which comprises an optical remote sensing camera, a ground control station, a data processing center, a point cloud scanner, a three-dimensional ground penetrating radar and a remote sensing data system composed of a deep learning system, the optical remote sensing camera, the ground control station and the data processing center. The beneficial effects of the invention are that the method employs a satellite remote sensing technology to carry out the three-dimensional image of the building in the urban district, obtains the detail data of the existing building through point cloud three-dimensional scanning, builds a three-dimensional building model, and employs an AI algorithm to carry out the intelligent recognition of a building unit; underground pipe network distribution is identified through a three-dimensional ground penetrating radar, an underground pipeline model is established in combination with a BIM technology, a building model and the underground pipeline model are integrated, a city unit gene pool is established, machine learning is performed through a neural network model, city building unit identification efficiency is improved, and city update and development are powerfully promoted.

The present invention provides an information processing device, an information processing program, an information processing method, and an information processing system that can suitably change the game medium used to construct a deck according to the game situation. [Solution] The information processing device comprises a deck building unit, a game effect activation unit, and a display control unit. The deck building unit builds a deck containing one or more game media to be used by the first user in the game. The game effect activation unit activates a game effect in the game if a predetermined game media included in the deck satisfies a first condition. The game effect activation unit activates a game effect in the game during a first period, regardless of whether the predetermined game media satisfies the first condition or not. The display control unit, during a first period, displays change suggestion information on the terminal device used by the first user if the predetermined game media satisfies a second condition including the first condition, and does not display change suggestion information if the second condition is not met.

An implant is produced by fabricating first and second layers. The first layer of repeated and truncated building units is fused together to define pores. The second layer of repeated and truncated building units are fused together to define pores and fused onto the first layer of truncated building units. The first and the second layers form at least part of a porous portion of the implant. The formed porous portion is attached onto a base portion of an implant. The truncated building units of each of the first and the second layers are in the form of spatially overlapping three-dimensional shapes.

The invention discloses an optical storage direct-flexible building cluster optimization operation method, system and device based on multi-agent deep reinforcement learning, and a medium, and belongs to the technical field of optical storage direct-flexible building cluster optimization operation, and the method comprises the steps: constructing a building cluster optimization operation model comprising a plurality of building units; a building cluster optimization problem of the building cluster optimization operation model is expressed as a partially observable Markov decision process, and an intelligent agent of each building unit makes a decision according to local observation information; a multi-agent reinforcement learning algorithm is used for solving a decision of a partially observable Markov decision process through a strategy optimization agent of centralized training and decentralized execution. According to the POMDP provided by the invention, on the premise of protecting the data privacy of each building, the designed reward function considers the situation that the flexible load centralized transfer may cause the building operation pressure, and the situation that the load is excessively concentrated at a certain moment is effectively relieved.