256 results about "Construction design" patented technology

A system for multi-stage planning of construction processes and resource allocation, consisting of: a central planning engine configured to receive input data, including architectural design models, structural constraints, procurement schedules, and historical performance indicators; a task decomposition processor that is operationally connected to the central planning engine and configured to generate a hierarchical construction task graph by decomposing macro-level construction milestones into mid-level and micro-level subtasks, with each subtask having time estimates, location identifiers, resource requirements, and mutual dependencies; a hybrid planning processing unit configured to resolve time and resource constraints across the entire task diagram; a resource coordination controller that is operationally connected to the central planning engine, wherein the resource coordination controller includes a real-time database of work units, machines and material stocks, each resource being tagged with attributes such as availability, usage history, operating status and spatial location; a multitude of distributed execution units distributed across the construction zones, each distributed execution unit comprising an embedded controller, sensor interfaces, task status processing logic, and communication circuitry, each distributed execution unit being configured to receive planning instructions from the central planning machine, execute localized control logic for task confirmation and resource activation, and transmit task execution data back to the central planning machine; an adaptive conflict resolution processing unit that is operationally connected to the central planning engine and configured to detect conflicts in task execution or resource conflicts, simulate alternative task-resource allocation scenarios using a real-time multi-agent model, and autonomously update the task graph with revised task sequences and resource allocations; and A dashboard for the construction process, configured to visualize task progress, deviations from the planned schedule, and resource efficiency metrics, with the dashboard also being able to receive manual override inputs or approve automated conflict resolution proposals generated by the adaptive conflict resolution module.

The invention relates to the technical field of BIM building optimization, in particular to a BIM-based prefabricated building design construction optimization management system and method. The method comprises the following steps: acquiring a panoramic monitoring image of a building area and a construction design initial BIM model; carrying out regional space structure evolution and construction scene three-dimensional simulation on the panoramic monitoring image of the building region, and constructing a three-dimensional construction scene graph; identifying assembly type building component information according to the construction design initial BIM model so as to generate building component assembly demand characteristics; performing dynamic construction sequence simulation optimization on the three-dimensional construction scene graph and the construction design initial BIM model based on building component assembly demand characteristics, and constructing a dynamic optimization construction sequence; and carrying out available material transportation path analysis on the three-dimensional construction scene graph so as to generate an optimal operation path of each material. According to the invention, real-time collaborative management based on the BIM and the cloud is realized, the building construction quality is improved, and the construction design decision is optimized.

The invention provides a three-dimensional modeling and construction management method and device and a readable storage medium. The method comprises the steps that multi-professional engineering drawings and unstructured texts related to construction design are acquired; extracting a geometric entity in each professional drawing in the multi-professional engineering drawings, and constructing a target three-dimensional skeleton model; a hierarchical attention mechanism and a time sequence diagram neural network T-GNN are adopted to extract semantic parameters from the unstructured text; fusing geometric data corresponding to the target three-dimensional skeleton model with the semantic parameters to generate a lightweight three-dimensional model; and for the complex conflict in the lightweight three-dimensional model, disassembling the complex conflict into a symbolic logic subtask and a neural network subtask. According to the method, the device and the readable storage medium, the problems of low modeling efficiency, insufficient semantic understanding and limited conflict optimization capability caused by excessive dependence of three-dimensional modeling of multi-specialty engineering drawings on a traditional BIM tool in traditional engineering design can be solved.

The invention relates to the technical field of foundation treatment, in particular to a dynamic compaction construction parameter optimization method based on XGBoost-PSO, and the method comprises the steps: obtaining a plurality of groups of compaction settlement data through a compaction test; the method comprises the following steps: selecting original features from actual measurement parameters of a test, constructing interactive features by adopting the actual measurement parameters, selecting optimal interactive features according to the importance ranking of XGboost features, and analyzing the correlation between the features; based on the feature set obtained through screening, a compaction settlement prediction model is established; and performing dynamic compaction parameter optimization on the compaction settlement prediction model by using a particle swarm algorithm to finally obtain an optimal compaction parameter combination. According to the method, the tamping parameters are automatically searched and optimized on the premise that the tamping stopping standard is met by building the tamping settlement prediction model, and therefore the purposes of guaranteeing the construction quality, improving the construction efficiency and reducing the construction cost are achieved; the method is suitable for various foundation construction design stages needing dynamic compaction treatment, and has good engineering adaptability and popularization value.

The invention discloses a combustible gas monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of combustible gas monitoring, and the method comprises the steps: obtaining the construction design information of a target region, and carrying out the equivalent division and the deployment of Internet of Things equipment; m combustible gas sensing data streams are obtained through monitoring of a regional sensing network; the method comprises the following steps: building combustible gas analysis dual channels including a gas concentration analysis channel and an escape situation analysis channel; presetting a combustible gas safety threshold value, and carrying out early warning judgment on the combustible gas sensing data flow to obtain combustible gas parameters of the area to be subjected to early warning; and constructing a multi-stage linkage early warning mechanism, and performing linkage early warning control on the combustible gas parameters of the to-be-early-warned area. The technical problems that in the prior art, monitoring area division is unreasonable, dynamic factors are not considered in data analysis, and a hierarchical and zoned linkage strategy is lacked, so that the accuracy and timeliness of monitoring and early warning are poor are solved, and the technical effect of improving the timeliness and accuracy of combustible gas monitoring and early warning is achieved.

The invention relates to the technical field of gift packaging three-dimensional modeling, and discloses a construction method of a gift box packaging design three-dimensional model. The method comprises the following steps: collecting natural language description, a freehand sketch image and a physical material attribute parameter; analyzing a natural language to construct a design intention map, and analyzing a sketch to generate a geometric feature code; performing knowledge alignment fusion on the two to form enhanced design semantic representation; generating an initial three-dimensional design framework by using a generative design algorithm; material parameters are integrated, compatibility simulation test is carried out, parameter self-adaptive adjustment circulation is started according to a feasibility evaluation report, and component parameters are dynamically optimized; and rendering and outputting a final model. Through deep fusion of multi-modal design information and preposed dynamic optimization of physical attributes, the accuracy of design intention expression and the producibility of a three-dimensional model are improved, and automation and intelligentization of a design process are realized.

The invention relates to the technical field of rock-soil stress monitoring, in particular to a rock-soil stress monitoring data analysis method and system. The method comprises the following steps: acquiring geological data and construction design data of a river bridge construction area, and analyzing piling immersed tube distribution difference to obtain piling immersed tube distribution difference data; performing extrusion lateral stress deflection simulation according to the piling immersed tube distribution difference data, further estimating stress transfer loss to obtain effective stress transfer data, and performing stress impact structure instability analysis between adjacent rocks and soil; and constructing a rock-soil stress risk monitoring model based on a random forest algorithm, and sending the model to a terminal for rock-soil stress monitoring data analysis. The rock-soil stress monitoring technology is optimized, so that the rock-soil stress monitoring technology is more accurate.

The invention relates to an underground engineering construction design technology, discloses a method for analyzing the influence of underground excavation under-crossing on an existing subway station, and improves the efficiency and precision of analyzing the influence of underground excavation under-crossing construction on the existing subway station. The method comprises the steps that by defining a structure and geometrical shapes and material attributes of a stratum, boundary conditions and external loads are set, grid division is carried out, and a finite element three-dimensional basic calculation model is constructed; according to theories of porous media and the like, a multi-physical field coupling model of a seepage-deformation-temperature full coupling effect is constructed; the rigidity of the underground excavation vertical pile foundation is calculated, and the rigidity of the underground excavation vertical pile foundation is corrected based on the influence factors of the soil squeezing effect and the negative friction resistance; subsurface excavation construction is subdivided into a plurality of stages, structural stress, deformation and stratum displacement are calculated through an incremental method, and the timeliness of a supporting structure and the influence of different excavation modes on stratum disturbance are analyzed; and obtaining a structural response through finite element iteration solution, and judging the influence of underground excavation under-crossing on the existing subway station.

The invention relates to the technical field of building engineering management, in particular to a building water supply and drainage system based on a building BIM (Building Information Modeling), which comprises a pipeline drawing generation module, an interface arrangement verification module, an arrangement space detection module, an operation data monitoring module and a fluid risk early warning module. According to the method, standardized drawing mapping of the pipeline trend, size and node layout is achieved through structured extraction of the BIM model, it is ensured that drawing output is complete and consistent, interface offset is automatically compared, abnormal arrangement is accurately recognized, the installation accuracy is improved, component conflicts can be pre-judged through space node clear distance analysis, field coordination is assisted, and the construction efficiency is improved. The method comprises the following steps: monitoring flow velocity pressure of a key drainage section, screening abnormal nodes, filing a hydraulic state, analyzing high-frequency risk points in a time sequence, marking continuous abnormity, providing operation early warning support, constructing drawing generation, arrangement verification, space coordination and a data feedback closed-loop process, and improving construction design accuracy and system operation stability.

The invention provides a tunnel construction carbon emission prediction method based on an LCA and MLP neural network model, and the method comprises the following steps: (1) dividing a tunnel construction process into material production, transportation and construction stages, quantifying the carbon emission of each stage based on a carbon emission factor method, and carrying out the accumulation to obtain the total carbon emission; (2) extracting initial influence factors from construction design parameters and geological conditions, screening significant variables through univariate regression analysis, and carrying out refined analysis on the surrounding rock grade in combination with SHAP value contribution degree quantification; (3) constructing an MLP neural network model by taking the I-level key index as an input variable, and optimizing the performance of the model through hyper-parameter tuning; and (4) generating a multivariable nonlinear empirical formula based on the optimized MLP model weight matrix and an SHAP value analysis result, and converting a model prediction result into a rapid estimation tool suitable for tunnel construction carbon emission by the empirical formula through combining a linear term, a nonlinear term and a variable interaction term.

The invention relates to the technical field of BIM technology, in particular to a municipal engineering construction method based on BIM technology, which comprises the following steps: acquiring underground facility information, including pipelines and cables, of an area where a municipal engineering project is located through a city public data platform, and labeling attributes of the underground facility information; performing digital processing on the acquired underground facility information, and converting the underground facility information into a standardized geographic information format through a conversion tool; integrating the digitized underground facility information with a BIM model in a construction design stage by using a BIM platform; and performing priority ranking on different types of facility conflicts, and generating corresponding optimization suggestions. According to the method, the space relation between the underground facility and the newly-built facility can be accurately mastered, omission or misoperation in the construction process is avoided, and therefore the accuracy and reliability of construction design are improved.

The invention discloses a project quality detection method and system based on green building design, and relates to the technical field of project quality detection. The engineering quality detection method and system based on the green building design comprises the steps that S1, BIM structured data, real-time monitoring data, structure acceptance data and construction event and window data are preprocessed; s2, on the basis of BIM structured data and in combination with a BIM model, the qualification state of the component and the quality grade of the partition are judged; s3, identifying a working condition switching anchor point and an event, and performing segmented division of a working condition process; s4, feature clustering and performance state discrimination are carried out, different working condition types are identified, and tagging management is carried out; s5, identifying dominant factors and performing attribution assignment through multi-dimensional label attribution and traceability judgment; and S6, performing grade judgment and grade response through multi-source time sequence item-by-item difference analysis. The problems of state interval disjunction and difficulty in accurate attribution and stable diagnosis caused by space-time mismatching of construction progress, BIM nodes and energy consumption environment data and data asynchronization are solved.

The invention discloses an intelligent prediction method for pressure channeling of a deep coal-bed gas well, and relates to the technical field of intelligent prediction. The method comprises the following steps: S1, obtaining construction well fracturing design parameters, construction well geological parameters, adjacent well geological parameters, inter-well space relation parameters and actually measured pressure channeling labels in a deep coal bed gas block, and preprocessing the parameters to obtain a data set; s2, substituting the data set into a graph neural network, constructing a heterogeneous graph comprising a node set and an edge set, and fusing parameters to obtain fusion feature representation used for representing sample characteristics; the fusion feature representation comprises fracturing section node features and adjacent well node features; and S3, based on the fusion features, predicting the pressure channeling probability in combination with an MLP model. The pressure channeling risk prediction and optimization framework based on fusion of static geologic features and construction design parameters of a'fracturing section-adjacent well pair 'sample unit is adopted, whether the deep coal-bed gas well is subjected to pressure channeling or not can be predicted in advance, and the precision is high.

The invention relates to the technical field of artificial intelligence, and provides a construction plan generation method and device, electronic equipment and a storage medium. According to the method, firstly, a construction design document of a target project is preprocessed to obtain a coding vector, then an intention analysis model responds to a received construction plan construction instruction to perform intention analysis on the coding vector, and an initial construction subtask set is obtained; the intention analysis module also retrieves each sub-task in the initial construction sub-task set, and adjusts a sub-task division mode based on a retrieval result until a target sub-task set meeting a preset condition is obtained; and finally, inputting the target sub-task set into an inference model, integrating the construction period and the construction path of each construction sub-task by the inference model based on the constraint conditions in the target sub-task set, and obtaining a construction plan of the target project, thereby improving the automatic generation efficiency of the construction plan, and enabling the generated construction plan to better meet the requirements of users.

The invention provides a shallow water jacket split vertical non-slideway construction design method. The method comprises the following steps: generating shallow water jacket split vertical non-slideway construction scheme data; designing a segmented final assembly cushion pier of the upper jacket and an integral shipment transportation cushion pier of the jacket, and outputting cushion pier design data; designing a foundation transformation scheme of the shallow water jacket split vertical non-slideway construction area, and generating foundation transformation scheme data; designing the construction scheme of the lower jacket, the scheme of constructing the upper jacket based on the lower jacket and the hoisting and closing scheme of the upper jacket and the lower jacket, and generating lower jacket construction scheme data, upper jacket construction scheme data and hoisting and closing scheme data. The jacket is divided into the upper jacket and the lower jacket, vertical construction is completed at the same time in a non-slideway area, then folding and final assembly are conducted, the construction period is short, the ship loading speed is high, a slideway is not needed, and occupied space is small; vertical installation can be directly carried out on the sea, and offshore righting operation is not needed.

The invention belongs to the technical field of decorative plate pressing, and particularly relates to decorative plate pressing equipment for architectural design, which comprises a base, a glue injection barrel, an arc-shaped table, an ejection type processing mechanism and a resistance adjusting type hot glue mechanism, the glue injection barrel is arranged on the upper wall of the base, the arc-shaped table is arranged on the upper wall of the glue injection barrel, the ejection type processing mechanism is arranged on the glue injection barrel, and the resistance adjusting type hot glue mechanism is arranged on the arc-shaped table. The resistance adjusting type hot glue mechanism is arranged on the material ejecting type machining mechanism, and the material ejecting type machining mechanism comprises a steering assembly, a lifting assembly, a pressing assembly, a glue scraping assembly, a glue supplying assembly and a discharging assembly. According to the decorative plate pressing equipment for building design, the viscosity of glue adopted in the pressing process can be monitored in real time, and the heating temperature of the glue can be automatically adjusted and controlled.

The invention relates to the technical field of curtain wall plate construction design, in particular to a UHPC curtain wall plate installation construction design method based on a BIM technology. According to the method, the actually-measured coordinates are obtained by scanning the installed supporting structure, the field real scene model is constructed, the design pose is corrected according to the position deviation of the actually-measured coordinates and the design coordinates, the target pose matched with the current supporting structure form is obtained, dynamic adaptation to the construction deviation of the supporting structure in the installation stage is achieved, and the construction accuracy is improved. And the accuracy of installation and butt joint of the curtain wall plates is improved.

The embodiment of the invention discloses a river-crossing bridge safety management method and device based on multi-source data, and relates to the technical field of bridge construction safety management, and the method comprises the steps: obtaining bridge construction design data to construct a bridge BIM model and a construction finite element model, and constructing a dynamic digital twinborn body in combination with a safety risk knowledge graph; performing real-time deduction calculation by using the construction finite element model to realize graded early warning pushing; and identifying the ship target according to the video stream data by using the lightweight ship target detection model, predicting the navigation trajectory of the ship target, and performing collision risk prediction. A dynamic digital twinborn body fusing a BIM model, a finite element model and a risk knowledge graph is constructed, and deduction calculation is performed by using real-time data of each physical component, so that safety risk grading early warning is realized. And collision risk early warning is carried out on a ship target in a bridge water area through video analysis in combination with a lightweight ship target identification model. Existing hardware resources can be effectively utilized to reduce the cost, and collision risks are accurately warned in real time.

The invention discloses a multi-scale research method for soil body strength degradation under the dry-wet cycle effect. The multi-scale research method comprises the following steps: S1, preparing a sample from collected test soil under the dry-wet cycle effect; s2, testing the macroscopic shear strength of the soil body by using the triaxial sample prepared in the step S1; s3, the cutting ring sample prepared in the step S1 is used for soil microcosmic fracture testing; s4, carrying out a soil body micro-pore test by utilizing the microstructure sample prepared in the step S1; and S5, analyzing the soil body strength degradation rule of the collected test soil under the dry-wet cycle action by using the test results of the soil body macroscopic shear strength test, the soil body microcosmic crack test and the soil body microcosmic pore test. According to the method, through multi-scale analysis, related enterprises can more comprehensively evaluate the degradation rule of the soil body under the dry-wet cycle effect, so that an engineering construction design scheme is optimized, and the risks of landslide, collapse and other engineering accidents caused by soil body strength reduction are reduced.

The invention relates to the technical field of simulation calculation, in particular to a simulation calculation method of a U-shaped steel-encased-concrete composite beam, which comprises the following steps: S1, establishing a two-parameter interface equivalent stiffness model of the U-shaped steel-encased-concrete composite beam with a rear anchor bolt; s2, solution and response extraction; s3, calculating a slip residual error and interface energy, and judging whether a target slip feature is met or not according to a double-convergence criterion; if the convergence requirement is not met, adaptively updating the interface parameters and returning to S2 for repeated solution, and if the convergence criterion is met, applying the converged interface rigidity parameters to design feedback of pretightening force selection of the rear anchor bolts and anchor bolt spacing and node construction of the rear anchor bolts. According to the method, the two-parameter interface equivalent stiffness model and the adaptive algorithm based on the slip residual error enable the interface normal stiffness and the interface tangential stiffness to be automatically converged to the target slip characteristic, manual parameter adjustment is avoided, the simulation stability and the calculation precision are improved, and integration of composite beam structure design and simulation analysis is achieved.

The invention discloses a wall detection device for architectural design, and relates to the technical field of wall detection, the wall detection device comprises a detection main frame body, a first motor and a second motor are symmetrically mounted on the upper surface of the bottom of the detection main frame body, and output shafts of the first motor and the second motor are fixedly connected with a lifting mechanism; the wall detection device for architectural design further comprises a pressure gauge and three contact wheels which are arranged in an arc shape to form an integral contact surface, the transverse moving mechanism is linked with the lifting mechanism to perform multi-area detection on the wall, and when the pressure adjusting mechanism performs movement detection in the vertical and horizontal directions, the pressure adjusting mechanism can adjust the pressure in the vertical and horizontal directions. The abutting wheels conduct abutting type elastic pressure self-adjustment on the radian of the wall and feed pressure elasticity back to the pressure gauge, the auxiliary deformation mechanism is matched with the radian through elastic deformation of the center and the abutting wheels on the two sides, and the comprehensive pressure of the abutting wheels on the wall is transmitted to the pressure gauge. The multi-dimensional cooperative detection optimization effect of a mechanical structure, pressure feedback and motion control is achieved.

The invention relates to the technical field of computer aided design, in particular to an automatic intelligent building design scene generation method and system.The automatic intelligent building design scene generation method comprises the following steps of analyzing a material text mapping high-dimensional semantic vector, executing dot product projection with a physical reference to generate an attribute module length, and resolving noise frequency and a normal intensity coefficient; the method comprises the following steps of: mapping a texture style description text to a high-dimensional vector space, projecting the texture style description text to a physical attribute reference dimension, constructing a height field matrix by driving gradient interpolation and fractal superposition, generating a normal and roughness map based on differential operation, covering the surface of a three-dimensional model, and outputting a design scene. According to the method, a quantitative conversion path from semantic features to geometric generation control variables is established, noise frequency and normal intensity generation of programmed textures are driven, normal and roughness maps meeting physical rendering standards are generated, automatic rendering of material details is achieved, and unification of microscopic geometric textures and macroscopic visual styles of a design scene is achieved.

The invention discloses a building volume prototype generation and optimization method and system based on visual language model self-evolution and application, and relates to the field of computer-aided building design, a building volume prototype and a multi-view rendering graph are generated through a predefined geometric atomic instruction group, an atomic instruction group-semantic expression data set is constructed, and a multi-view rendering graph is generated through a multi-view rendering graph; training to obtain a semantic-driven geometric instruction reasoning model; after a new instruction group generated through model reasoning is verified by a geometric constraint solver, the system further calls a visual language model to perform semantic consistency evaluation, samples conforming to a target are incorporated into a training set to optimize weights, multiple rounds of semantic feedback and parameter updating are achieved, and a'semantic-geometry 'closed-loop self-evolution mechanism is formed. According to the method, intelligent, semantic and evolutionary optimization of volume generation can be realized in the early stage of building design, and the design efficiency and semantic consistency are improved.

The invention relates to the technical field of building construction, in particular to an infilled wall reverse ridge formwork reinforcing construction method which comprises the steps that a lifting vertical rod is designed and manufactured according to the floor height, the lifting vertical rod comprises a lower vertical rod, and an upper vertical rod is coaxially and movably arranged in the lower vertical rod in a penetrating mode; designing and manufacturing a clamp according to the size of the reverse ridge template; and according to the construction design, the construction position of the reverse ridge formwork is positioned on the floor, and reinforcing construction of the reverse ridge formwork is conducted. The reverse ridge template is shaped and reinforced; through supporting and fixing of the lifting vertical rod and matched connection of the lifting vertical rod and the clamp, drilling in a floor can be avoided, damage to the floor and a line pipe embedded in the floor can be avoided, deviation of the reverse ridge in the pouring process can be effectively prevented, materials can be repeatedly used, the construction quality is guaranteed to a great extent, and the later maintenance cost is saved.

The invention belongs to the technical field of load regulation and control, and discloses a building load prediction and flexible control system and device.The system comprises a mechanism twinborn reference simulation module, a data driving load prediction module, a load sequence fusion module, a flexible strategy mapping module and a strategy preferential coding module; a mechanism type digital twinborn body is constructed, and a theoretical reference load sequence is obtained through standard working condition simulation; based on historical operation data and real-time input data, constructing a data-driven digital twin, and performing dynamic load prediction to obtain a data-driven load prediction sequence; adaptively fusing the two types of sequences to obtain a load prediction sequence; performing multi-target flexible strategy mapping on the load prediction sequence to obtain a flexible candidate strategy; and preferentially coding the candidate flexible strategy efficiency based on the two types of digital twin bodies to obtain a flexible control instruction. According to the invention, the prediction and flexible control efficiency of the building load can be improved.

This utility model discloses a dust suppression device for engineering construction, including a base, on which a dust suppression mechanism is provided. The dust suppression mechanism includes a water tank and a nozzle. The water tank is installed on the top surface of the base, and a water pump is connected to the outside of the water tank. A diversion pipe is connected to the output end of the water pump, and a flexible hose is connected to the outer end of each diversion pipe. Each set of flexible hoses has an output pipe at its top end, and each set of output pipes is equipped with a quick-installation mechanism. The quick-installation mechanism includes a fixing sleeve and a limiting mechanism. The fixing sleeve is connected to the outer wall of the output pipe, and a slider is slidably provided on the outer wall of the fixing sleeve. The dust suppression device for engineering construction designed in this utility model uses a quick-installation mechanism to connect the nozzle and the output pipe. Through the plug-in structure of the fixing sleeve and the clamping pipe, combined with the clamping method of multiple sets of clamps and slots, the nozzle can be quickly installed and removed without the need for any special tools.

This invention relates to a star-rating management method and system for the deployment and implementation of gas field development wells, belonging to the field of gas field development technology. The invention first establishes an initial production estimation expression and dimensionless production curves for gas wells using dynamic production data from existing similar gas wells. Then, it uses these results to determine the production rate of newly deployed gas wells and, based on production and cost, determines the internal rate of return (IRR) for these wells. If the required IRR is not met, the deployment location and construction process of the new wells are re-optimized until the required IRR is achieved. Simultaneously, the star rating of the gas well's economic benefit is determined based on the IRR. Drilling is then carried out at the new well deployment location that meets the economic development requirements. After drilling, a more detailed fracturing design is conducted, and the IRR and star rating of the gas well are re-determined according to the new design. This invention effectively improves the targeting of single-well geological design and fracturing construction design, thereby improving development results and quality.

The present application relates to a kind of ground penetrating radar detection and disease treatment method for deep high pressure tunnel, and the field measuring line is the net structure of two horizontal and two vertical, radar transmitting antenna continuously emits pulsed high frequency electromagnetic wave to underground, receiving antenna receives the reflection wave and transmission wave generated by interface or target body with electrical difference, the property of target body is determined according to the form, strength and its change of radar map reflection wave, and forecast is formed;Forecast content includes four aspects of whether there is broken rock stratum in the surrounding rock in front of working face, whether there is water-rich rock stratum in the surrounding rock in front of working face, whether there is the possibility of water or mud inrush in the surrounding rock in front of working face, and fault fracture zone and its water content in front of working face;Treatment scheme is formulated according to forecast content, combined with engineering profile summary, survey and construction design document and construction specification.

The invention relates to the technical field of building design, in particular to a fabricated bridge parameter design method and system, and the method comprises the steps: collecting bridge geological data and environmental conditions, obtaining bridge parameters, determining fabricated core construction, and planning module multiplexing logic. Fixed parameters, variable parameters and associated parameters are divided based on bridge parameters, parameter associated logic is built, and parameter limitation is set; variable parameter calculation is input, software calculates correlation parameters based on parameter correlation logic, a three-dimensional model is generated, and connection node details are designed; according to the method, multi-dimensional performance checking calculation is carried out on the basis of specification requirements, parameters are adjusted and optimized, and a design result is output, according to the method, the influence degree of parameter changes on the strength and rigidity of the bridge is revealed through collected bridge parameters, associated component logic and automatic checking calculation optimization and performance checking calculation, and high efficiency, standardization and reusability of bridge design are achieved.

The invention provides a building interface style migration and optimization method based on multi-machine learning model coupling. According to the method, a building interface style migration model is constructed based on various machine learning technologies, so that different building style characteristics and a mapping relation thereof are obtained. Based on a de-noising diffusion probability model and a cyclic generative adversarial network, high-quality style migration among different architectural styles is realized, the stability and detail quality of an architectural interface design scheme are optimized through a neural network, and a multi-objective optimization method is combined to generate an architectural interface layout scheme meeting urban design requirements. Compared with the prior art, the method has remarkable advantages in the aspects of building interface style migration precision, generation scheme adaptability and optimization design efficiency. Meanwhile, due to the reversibility of the design process, the generation result of the scheme can be returned to any step at any time to be optimized until the generated image meets the construction design requirement.