44 results about "Building Location" patented technology

The invention discloses a prefabricated building component quality monitoring method, and relates to the technical field of buildings, and the method comprises the steps: interactively obtaining target building design data; obtaining a target building model; calling networking data according to the target building position to obtain multiple pieces of load environment information; obtaining a plurality of load condition models; m building areas identified by adopting the stage assembly task sequence are obtained; m component mass constraint libraries are obtained; and dynamically calling the M component quality constraint libraries according to the stage assembly task sequence to carry out quality monitoring in the production process of the assembly type building component. The technical problems that in existing building component quality monitoring, real-time monitoring is difficult to conduct at all assembly nodes, the quality problem is difficult to find in time, environment changes cannot be dynamically adapted, and then the real-time performance and accuracy of the result of building component quality monitoring are insufficient, and the environment adaptability is poor are solved. The technical effect of improving the accuracy, timeliness and construction flexibility of building component quality monitoring is achieved.

The invention provides a construction simulation system for real-time dynamic collision detection. The construction simulation system comprises a space positioning module, an activity analysis module, a real-time dynamic collision detection module and a real-time dynamic collision detection module, wherein the space positioning module is used for respectively positioning corresponding building positions of each specified building component at different construction moments in a construction simulation model; the activity analysis module is used for analyzing a construction track corresponding to each specified building component; the system comprises a construction simulation module for determining collision positions among different specified building components, a collision analysis module for acquiring a collision result corresponding to each collision position and screening a target specified building component corresponding to a non-ideal collision result, and a collision elimination module for respectively adjusting a target construction track in a construction simulation model. The method comprises the following steps of: performing virtual track adjustment until a construction simulation model does not contain a non-ideal collision result, analyzing a collision phenomenon possibly occurring in the construction according to the actual condition of a construction area and building requirements before formal construction, and performing virtual track adjustment by utilizing the model to achieve the purpose of eliminating collision, so that the construction quality is ensured in the construction process, and the construction efficiency is improved. And the collision phenomenon is effectively reduced.

A system and method for architecturally designing and manufacturing building structures customized for environments vulnerable to extreme weather events or other natural phenomena. The method includes determining an environmental susceptibility of a proposed building location, designing building components factoring in geographical and climate-related features, manufacturing the building components, and assembling the building structure in a manner better configured to resist extreme weather or natural events.

A manufacturing process and equipment fabricates open web trusses from CAD building plans. The fabricating machine cuts stock lengths of chord and webbing based on the truss specifications and applies assembly and building location indicia to the chords and webbing. A jig provides for assembly of the trusses vertically. The software analyzes the floor layout of a building, in particular open floor spans, that need to be supported by trusses, and then applies code based engineering criteria, such as dead loads, live loads, lateral loads, out of plane deflection, load transfer, and the like, to design the trusses for the optimized engineering performance to meet local and international building codes. The software lays out the trusses so that webbing aligns across floor areas to allow for the pass-through of various utilities.

The present invention discloses a BIM model energy consumption simulation method and system coupled with a building performance database, which relates to the technical field of building information modeling and building green performance evaluation. The method establishes a building performance database template and inputs urban meteorological data, spatial operation data, and material physical parameter data; translates building site selection information, morphological information, spatial type information, and enclosure structure information to a digital design platform; calls building performance data from an external database according to the translated multi-level information; establishes a building energy model; and obtains the building's annual energy consumption data by simulation. Through the digital modeling platform and technology, the automatic translation of the multi-level information of the BIM model is realized, and the problem of insufficient support of the existing building information modeling technology for external related information is fully considered, and a dynamic transmission mechanism between the BIM model and external building performance big data is established.

The invention provides a building energy consumption quota formulating method based on ternary fusion and dual dynamic correction. The method comprises the following steps: acquiring meteorological data of a building location and corresponding energy consumption quota rule class data; constructing an energy consumption portrait of the building according to the meteorological data; inputting the day and night energy consumption ratio, the peak pattern characteristic coefficient, the personnel-energy consumption correlation, the energy consumption-photovoltaic power generation matching degree and the continuous stable operation duration into a ternary fusion calculation framework to obtain a preliminary basic quota of the expected energy consumption level of the building under the current condition; and based on the energy consumption quota rule class data and the meteorological data, constructing a multi-factor coupling influence model, and inputting the preliminary basic quota into the multi-factor coupling influence model to obtain a final dynamic quota value fitting the energy efficiency potential of each stage of the building.

There is disclosed a modular building unit (10), a modular building assembly (12) comprising the modular building unit, a building (28) comprising the modular building unit / assembly, and a method of c

The application relates to the technical field of size measuring equipment, and discloses a prefabricated building accessory size calibration device which comprises a rack and further comprises a calibration table, a calibration ruler, a screening mechanism, a positioning mechanism and a cutting mechanism. The calibration table is slidably arranged in the rack, the calibration table is provided with a moving mechanism, the calibration ruler is arranged on the rack, the calibration table is provided with an indicating arrow, the screening mechanism is arranged on the rack, the screening mechanism comprises a screening plate, the screening plate is rotationally arranged in the rack, a pressing plate is slidably arranged on the screening plate, the positioning mechanism is arranged on the rack, the positioning mechanism comprises a positioning block, the positioning block is arranged on the rack, and the cutting mechanism is arranged on the rack. Through the technical scheme, the problem that the accuracy of measuring the steel structure by an operator holding a tape measure is poor, and it is not easy to complete the assembly construction of the steel structure in some high-precision building positions with a little deviation is solved.

The invention discloses a mosquito killing equipment configuration method based on data driving and a mosquito killing system, and relates to the technical field of mosquito control. The method comprises the following steps: obtaining an initial data set by obtaining the category and position information of buildings in an existing mosquito killing area, the category and position information of ancillary facilities, the position of mosquito killing equipment and mosquito catching amount information; processing the initial data set, and constructing an associated data set; building categories, building position information, ancillary facility categories and ancillary facility position information are used as input features, mosquito killing equipment positions are used as output features, and a neural network model is constructed; training the constructed neural network model; and inputting related data information of the current area of the to-be-configured mosquito killing equipment into the trained neural network model, and configuring the mosquito killing equipment in the current area according to an output result of the neural network model. According to the invention, the dependence on personal experience can be reduced, and unnecessary cost increase and waste are avoided while effective mosquito eradication is ensured.

The invention relates to the technical field of data processing, in particular to a building design negative image detection method and device and a storage medium, and the method comprises the steps: building a space coordinate system by taking a ground plane center point of a to-be-evaluated building three-dimensional model as a coordinate origin, and determining building position coordinates of the three-dimensional model in the space coordinate system; generating an angle diagram of the to-be-evaluated building at each camera position coordinate according to the building position coordinates; generating a plurality of generation graphs according to the angle graphs and the target words, and obtaining image description of each generation graph; performing vectorization processing on the image description to obtain a description vector, and performing vectorization processing on the target word to obtain a target word vector; and calculating the similarity between the description vector and the target word vector, and when the similarity is greater than a preset threshold, determining the angle of the camera position coordinate corresponding to the description vector as the negative image early warning angle. According to the embodiment of the invention, the objectivity and accuracy of the building image evaluation result can be improved.

The present invention relates to a control method, system and intelligent terminal of a green smart building, and relates to the technical field of green buildings. The method includes: obtaining weather conditions of a preset building location; determining the solar altitude angle according to the weather conditions and the building location; determining the irradiated glass window according to the solar altitude angle and the building location; determining the shielding area according to the irradiated glass window and the solar altitude angle; determining the shading quantity and shading position of a preset shading device according to the shielding area and the preset shading area; and controlling the shading device to move from a preset reset position and shading the irradiated glass window based on the shading quantity and the shading position. The present application has the effect of reducing energy consumption.

The invention relates to a method for judging a building where a user is located in mobile phone signaling data, belongs to the technical field of judgment of the building where the user is located, and solves the problem that the building where the user is located cannot be accurately recognized in the prior art. The method comprises the following steps: acquiring mobile phone signaling data of a user, and preprocessing the mobile phone signaling data to obtain a staying position sequence of the user; constructing a heterogeneous graph based on each staying position sequence of the user, and predicting the position of the user by adopting a trained heterogeneous graph neural network model based on the heterogeneous graph; and determining the building where the user is located based on the building position and the predicted user position. Accurate inference of the building where the user is located is achieved.

The technology involves a method, medium, and testbed scoring cloud-application Quality of Experience (“QoE”) by emulating a mesh network at building locations inside of a building. The testbed includes test environment devices comprising test chambers holding respective stations (“STAs”) that run applications, or Access Points (“APs”) coupled in a mesh, respective connective cables between pairs of test environment devices, the cables reproducing attenuation between building locations, and at least one of the APs serving as a gateway to an internet server. QoE scoring includes a controller causing multiple types of applications on the STAs to generate traffic by executing test exchanges with the server. The testbed measures traffic produced by the test exchanges and scores the traffic streams measured for each of the test sequences of exchanges by combining the measurements into traffic stream scores and by combining the traffic stream scores for the application into a cloud-application QoE score.

The embodiments of the present application relate to the field of artificial intelligence technology, and relate to a method and apparatus for discovering poor points in a building network, an optimization method, equipment, and a medium. The specific scheme is: clustering each complaint sample according to the complaint location information to obtain at least one clustering area; according to the building location information, obtaining the local buildings within the at least one clustering area; for each of the clustering areas, determining a preset number of high sampling point cells for each local building within the clustering area, and when the high sampling point cells meet the poor performance index, determining the clustering area as a network poor point. The embodiments of the present application realize the discovery of poor points in a building network based on complaint samples, can accurately locate network problems, discover large-scale poor areas in the network in advance, guide relevant personnel to conduct timely investigation and processing, avoid later complaint problems, improve the efficiency of solving complaint problems, and improve customer satisfaction.

The invention provides a digital twinning-oriented campus energy consumption intelligent management method, which comprises the following steps of: projecting data into a three-dimensional campus model by adopting a space mapping algorithm according to an obtained energy consumption data set, and determining a distribution position of a high-energy-consumption area; if the determined high-energy-consumption area exceeds a preset threshold value, real-time data fluctuation is analyzed through an anomaly positioning algorithm, and a potential anomaly source is judged; obtaining the judged abnormal source information, and decomposing the energy consumption level from a macroscopic panorama to a microscopic building by adopting a multi-level analysis method to obtain a layered visual structure; for the obtained structure, rendering a dynamic thermodynamic diagram through a visual expression technology to obtain a visual spatial distribution view; extracting functional characteristic data from the obtained view, generating an energy-saving measure suggestion for the building position by adopting a decision tree algorithm, and determining an optimization path; and through the determined optimization path, the feedback cycle of the energy consumption data set is updated, and a continuous monitoring intelligent management framework is obtained.

The present invention relates to a method and system for predicting water flow rate of users of smart heating, which is equipped with a water flow rate prediction unit. Each heating user can predict heat load and water flow rate. The water flow rate prediction unit includes a user classification unit, a climate compensation unit, a load calculation unit, and a two-network balancing unit. The method simultaneously considers factors such as the building location of the heating user and the heating conditions of the neighboring households, the impact of climate factors on heating, and the impact of the building type on the heat load prediction, so as to accurately predict the heat load and water flow rate of the heating user to the greatest extent, so that the heating amount of each heating user is more reasonable, easy to promote and accepted by users.

The utility model discloses a building energy-saving data acquisition device, and belongs to the field of building data acquisition. Comprising the steps that a rotary knob is rotationally connected to the bottom end of the outer side of a protection box and rotationally connected with a limiting structure, the rotary knob rotates to drive the limiting structure to move, and before data collection work is started, a data collection assembly is transported to different building positions through the protection box, then the protection box is opened, and the rotary knob is rotated; the rotary knob drives the limiting structure to move in a channel in the bottom end of the protection box, the limiting structure moves to drive the limiting plate to move up and down, the limiting plate drives the data collection assembly to move up and down, and the other two sides of the data collection assembly are fixedly connected with fixing plates. The other two sides of the data acquisition assembly are limited by the fixing plates and the slideways, and the four corners of the protection box are limited by the protection strips, so that the position of the data acquisition assembly is further limited, and the data acquisition assembly is prevented from being collided and damaged due to deviation in the moving process.

The present invention belongs to the technical field of intelligent construction of building engineering, and discloses a method and system for surveying and mapping the concrete volume of building engineering based on artificial intelligence and unmanned aerial vehicle (UAV) surveying and mapping technology. The method for surveying and mapping the concrete volume of building engineering includes: obtaining point cloud information data at a target terrain; constructing a real-time three-dimensional state model of the target terrain according to the obtained point cloud information data; obtaining real-time data information on the dimensions to be poured at the building location according to the comparison result between the real-time three-dimensional state model and a preset three-dimensional target model; and obtaining concrete volume requirement information according to the obtained real-time data information on the dimensions to be poured at the building location. In the present invention, by obtaining information data at the target terrain in real time and comparing it with the building pouring target information in real time, the remaining concrete volume requirement is reflected and displayed, guiding engineering operations to ensure the construction efficiency and quality.

To create a building plan for a house automatically while taking a building place, a budget, demands, individual's characters, and a lifestyle into consideration.SOLUTION: A system includes means for learning construction-related law, foundation data, building material data, housing equipment data, etc., and providing a building place, a budget, demands, individual's characters, and a lifestyle, and means for automatically creating a building plan for a house based upon those pieces of information.SELECTED DRAWING: Figure 1

The utility model relates to the technical field of community facilities, in particular to a community information guide board which is characterized in that a ceiling is arranged on a support, an installation foundation is provided by the ceiling, a natural energy power generation device can be installed conveniently, and meanwhile the ceiling can keep out wind and rain and prevent rain from washing a guide panel and an LED display screen. The electricity consumption of the LED display screen and the guide panel can be greatly reduced by utilizing the natural energy power generation device, and the use cost is reduced. Besides, the indication marks for marking the positions of the characteristic buildings in the community are designed on the guide panel, so that the positions of the buildings can be vividly and imaginarily limited, and a user can quickly find the destination.

The invention relates to the improvement of an unmanned aerial vehicle image detection technology, in particular to a building semantic change detection method aiming at an unmanned aerial vehicle image, which can simultaneously capture two types of key information of position change and semantic change of a building on a multi-temporal image. Reliable technical support can be provided for urban illegal building monitoring, urban update drawing and the like; comprising three parts: sample data acquisition, multi-task collaborative learning building change detection network design, and model training and reasoning deployment. Simultaneous output of semantic information such as building addition and reduction can be realized, and the business requirements of urban illegal building monitoring can be better met; the change detection model designed by the invention can better support a domestic hardware platform, and can realize autonomous controllability.

A computer-implemented method for determining information for the deployment of one or more small cells into an existing MNO network, the method comprising: retrieving a spatial map of building locations; retrieving a plurality of sensor data on the MNO network collected from a plurality of mobile network devices, wherein the sensor data comprises a measurement location; processing the plurality of sensor data and the spatial map of building locations to generate a spatial map of performance and / or usage characteristics of the MNO network.

This invention discloses a method for assessing building damage from disasters using remote sensing imagery based on a visual fundamental model. The method includes: acquiring pre-disaster and post-disaster remote sensing images of the building disaster area; inputting the pre-disaster remote sensing images into a trained building location feature extraction network to obtain building location results; wherein the building location feature extraction network includes an encoder module, a decoder, and a mask prediction head, and the processing steps of the building location feature extraction network include: inputting the pre-disaster remote sensing images into the encoder module to obtain building location features, inputting the building location features into the decoder to obtain location decoding features, inputting the location decoding features into the mask prediction head to obtain a building mask; and inputting the post-disaster remote sensing images and building location features into a trained damage perception and discrimination network to obtain building damage classification results. This invention can improve the accuracy and stability of building disaster damage assessment.

This invention discloses a construction method for a lightweight building construction machine with dual platforms working collaboratively, comprising the following steps: S1, Construction preparation: The load-bearing capacity of the basement roof slab in the building construction machine support area is calculated and fixed according to the building structure requirements; S2, Building construction machine assembly: The lightweight building construction machine is assembled at the target building location, and the machine is equipped with an upper working platform and a lower working platform; S3, Implementation of vertical overlapping operations on both platforms: The main structure construction and exterior wall base pretreatment are carried out simultaneously on the upper platform, while the exterior facade decoration construction is carried out simultaneously on the lower platform; S4, Lifting construction: After the single-floor operation is completed, the two platforms are simultaneously lifted; S5, Cleaning and finishing. This invention reduces labor costs, minimizes material waste, completely eliminates safety hazards associated with high-altitude operations, significantly improves the consistency of construction quality, and features a lightweight and modular design that is easy to assemble and disassemble, highly adaptable, and fully meets the lean construction needs of modern residential projects for high efficiency, safety, intelligence, and green development.

The invention relates to the field of electric digital data processing, in particular to a design method and device of a ventilation opening fan and a terminal. The method comprises the steps that a building three-dimensional model is established according to a building drawing and facade windowing information, the facade windowing information comprises geometric specification parameters of a ventilation opening sash, and ventilation and thermal environment simulation is carried out according to environment data and personnel data of a building location and the building three-dimensional model. The method comprises the steps that the average wind speed of a personnel activity area and building indoor environment parameters are calculated, a PMV-PPD calculation battery pack is established, the average wind speed of the personnel activity area and the building indoor environment parameters are input into the battery pack, PMV and PPD are obtained through calculation, and if both the PMV and the PPD meet preset conditions, the geometric specification parameters are determined as target parameters of the ventilation opening fan. The problems that when an existing ventilation opening fan is designed, intelligent matching with building geometric characteristics cannot be achieved, and the comfort degree dimension is incomplete can be solved.

There is disclosed a modular building unit (10), a modular building assembly (12) comprising the modular building unit, a building (28) comprising the modular building unit / assembly, and a method of constructing a building comprising the modular building unit. The modular building unit (10) comprises a structural frame (16). The structural frame comprises: a floor frame portion (18) having a first depth (D1), the floor frame portion configured to support a planar floor structure (104); a ceiling frame portion (20) having a second depth (D2); and a support structure (22) extending between and connecting the floor frame portion to the ceiling frame portion. A ratio of the first depth (D1) of the floor frame portion relative to the second depth (D2) of the ceiling frame portion is at least about 1:3. The modular building unit defines a circulation space (42) configured to provide at least one access function for a building comprising the modular building unit. The building can be a hybrid residential building comprising a first building section (36) and a second building section (38). The first building section is an on-site construction at a final building location (40). The second building section comprises the modular building unit (10). The first and second building sections are connected at the final location to form the building.

This invention provides a method and system for intelligent vertical design of gravity flow pipe networks, relating to the field of pipe network design technology. The method includes: acquiring a site digital twin model; optimizing the route layout based on the site digital twin model, the upstream pipe segment start point, the downstream pipe segment end point, and avoidance rules to generate an initial pipe network route; dividing the site digital twin model into multiple drainage zones by searching for building location points; performing pipe segment velocity analysis based on drainage data corresponding to each drainage zone and the planar connection angle of adjacent pipe segments at manholes in the initial pipe network route to obtain the actual minimum flow velocity for each pipe segment; and performing vertical correction design on the initial pipe network route based on the actual minimum flow velocity to obtain the overall gravity flow pipe network. The method and system provided by this invention can effectively improve the reliability of vertical design of gravity flow pipe networks.

An implementation of the disclosed technology provides a method that includes determining an average outdoor temperature (Toutdoor) over a time period for a building location, measuring a heating energy consumption (EC) for the building over the time period, adding the average outdoor temperature (Toutdoor) and heating energy consumption (EC) to a data set including multiple average outdoor temperatures (Toutdoor) and corresponding heating energy consumptions (EC) over multiple time periods of similar duration to the time period, calculating a base temperature (Tbase) where heating is required to maintain the building at a setpoint temperature (Tsetpoint) based on the data set, generating a model of heating the building based on the data set, the model providing a heating energy consumption (EC) per heating degree day (HDD), wherein a number of heating degree days (HDD) is based on the base temperature (Tbase), and using the heating energy consumption (EC) per heating degree day (HDD) to determine energy savings based on a change in the setpoint temperature (Tsetpoint).

There is disclosed a modular building unit (10), a modular building assembly (12) comprising the modular building unit, a building (28) comprising the modular building unit / assembly, and a method of c

The present invention relates to the technical field of air conditioning load calculation of building envelopes, and in particular to an air conditioning load and capacity calculation method of an integrated photovoltaic-thermal building envelope, including: obtaining geographic information, meteorological information, envelope information, and flow channel information of the building location; calculating the solar irradiance received by the surface of the integrated photovoltaic-thermal building envelope based on the geographic information, meteorological information, and envelope information; presetting the temperature of the photovoltaic panel at the initial moment, inputting the meteorological information, envelope information, flow channel information, and solar irradiance into a preset photovoltaic-thermal building integrated envelope hierarchical model, and performing iterative solutions to obtain the power generation power, heat generation power, and hourly heat gain, and respectively calculating the power generation, heat generation, and air conditioning load, and completing the air conditioning load and capacity calculation of the integrated photovoltaic-thermal building envelope. The present invention can provide a basis for the energy-saving and low-carbon design of the integrated photovoltaic-thermal building envelope.