707 results about "Engineering structures" patented technology

The invention discloses a concrete strength remote monitoring method and system suitable for a complex environment, and belongs to the technical field of civil engineering structure health monitoring. The remote monitoring method comprises the following steps: step 1, acquiring performance data of a concrete structure and related environmental factor data, and transmitting multi-source heterogeneous data to a data processing center in real time through a preset wireless communication protocol; step 2, constructing a five-dimensional tensor data structure, and realizing accurate mathematical expression of a complex coupling relationship between environmental factors and material characteristics through tensor decomposition; step 3, capturing nonlinear time-varying characteristics of concrete strength evolution; 4, quantifying the age effect through an intensity development rate index; step 5, based on the intensity development rate change trend, adaptively adjusting the data sampling frequency and monitoring the environmental condition fluctuation; and step 6, evaluating the safety state of the concrete structure in real time, and ensuring safe and reliable operation of the concrete structure in a complex environment.

The invention provides a concrete super-early-strength quick-hardening material, and relates to the field of building materials. The high-strength concrete comprises the following components in percentage by mass: 40%-50% of calcium aluminate, 30%-40% of gypsum, 8%-15% of high aluminum, 1%-3% of an additive, 3%-12% of an exciting agent and 1%-5% of an auxiliary material. According to the super-early-strength quick-hardening material provided by the invention, hour-level strength can be quickly and stably improved, and the strength increasing curve of each age is smooth and stable, so that the requirements of scenes such as road repair and tunnel construction on early strength can be met; it can be guaranteed that the 28-day compressive strength of the material breaks through 70 MPa, the later strength is kept stable, and the long-term safety of an engineering structure is guaranteed; the anti-seepage, anti-freezing and anti-erosion capabilities are realized in a complex environment, the service life of a project can be effectively prolonged, and the maintenance cost is reduced. In addition, the invention further provides a preparation method of the concrete super-early-strength and quick-hardening material, and the preparation method is used for preparing the super-early-strength and quick-hardening material provided by the invention.

The invention discloses an assembly type building node stress monitoring and design feedback system based on BIM, and relates to the technical field of building engineering structure monitoring, a building information modeling model is constructed, component geometric information, a connection mode and a load path associated with nodes are extracted, and a node mechanical attribute initial parameter set is formed; in combination with node real-time stress monitoring data, Fourier transform and wavelet decomposition are carried out, and frequency domain characteristic parameters are extracted; constructing a finite element correction model, and simulating a stress response path under a multi-load combination; the predicted stress peak value is compared with the actually measured stress peak value, structural abnormal nodes are identified, parameter optimization is executed according to node construction information, the component size, the steel bar anchoring length or the concrete grade are automatically adjusted, an optimized parameter set is generated and written back into a building information modeling model, and closed-loop correction is formed; continuous monitoring, abnormity diagnosis and intelligent optimization of the node stress state can be achieved, and the safety and the intelligent level of assembly type building structure design are improved.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

The invention discloses a concrete structure seismic damage assessment method and system based on multi-source data feature fusion, belongs to the technical field of civil engineering structure seismic damage assessment, and aims to solve the problem that single-source data cannot accurately reflect the seismic damage state of a concrete structure. Extracting geometric deformation characteristics by using a laser radar, and extracting overall rigidity characteristics by using an acceleration sensor; holographic damage feature vectors are constructed through a weighted fusion algorithm, constitutive parameters of the nonlinear finite element model are automatically corrected through the vectors, and finally the residual bearing capacity of the structure is obtained through numerical simulation calculation. Objective and rapid recognition of post-earthquake structural damage is realized, and a specific structural safety reserve quantitative index can be output.

The invention relates to the technical field of engineering structure health monitoring, in particular to an engineering structure dynamic deformation monitoring system based on multi-sensor fusion, which comprises a multi-type sensor module, a data acquisition and preprocessing module, a data fusion processing module, a deformation analysis and early warning module and a communication storage module. The multi-type sensor module collects data such as displacement, strain and vibration of an engineering structure; the data acquisition and preprocessing module performs noise reduction on the original data; the data fusion processing module fuses data by adopting algorithms such as Kalman filtering and a D-S evidence theory; the deformation analysis and early warning module constructs a finite element model to analyze deformation and performs graded early warning; and the communication storage module realizes data transmission and storage. The system improves the monitoring precision and reliability through multi-sensor data fusion, and can be applied to dynamic deformation monitoring and safety early warning of engineering structures such as bridges and dams.

The invention provides an operator neural network-based reinforced concrete member damage intelligent evaluation method, which is applied to the field of civil engineering structure anti-explosion analysis, and comprises the following steps: obtaining member characteristic parameters of a reinforced concrete target member and load parameters of a plurality of explosion load working conditions; inputting the component characteristic parameters and the load parameters of the plurality of explosion load working conditions into a trained physical information operator neural network to obtain a dynamic response time history of the target component under each explosion load working condition; based on the dynamic response time history of the target component under each explosion load working condition, the maximum center displacement of the target component under each explosion load working condition is determined; generating a pressure-impulse diagram of the target component based on the load parameters of the plurality of explosion load working conditions and the maximum center displacement set; and based on the pressure-impulse diagram, performing explosion damage evaluation on the target component. According to the method, the pressure-impulse diagram of the reinforced concrete member under the blast load can be quickly and accurately generated.

The invention discloses a physical perception-based generative three-dimensional reverse design method and system, which realize efficient exploration and optimization in a three-dimensional design space by constructing a unified physical-geometric potential representation and combining a two-stage optimization strategy. According to the method, shape and physical field data combined training is utilized to obtain potential representation, so that a geometric structure and physical constraints are compactly represented; on the basis, two stages of physical perception optimization are adopted: in the first stage, global exploration is performed in a potential manifold through a gradient-guided diffusion model, and an initial grid is generated; and in the second stage, the initial grid is locally optimized by utilizing target-driven topology maintenance optimization, so that the initial grid gradually approaches the target performance requirement. According to the method, the high-fidelity three-dimensional geometric design can be directly generated, the target performance and the result diversity of the design are remarkably improved, the method can be widely applied to aerospace, energy equipment and complex engineering structure design, and a new technical approach is provided for efficient implementation of the three-dimensional intelligent design.

The invention belongs to the technical field of low-frequency vibration control, and provides a low-frequency tuned mass damping device for reversely stretching a compression spring in order to solve the problem that a traditional tuned mass damper is limited in use of a vertical space due to too large net deformation of the spring under the low-frequency condition. According to the device, large compression deformation and reverse tensile deformation of the spring are fully realized in a limited vertical space in a manner of performing super-compression-reverse tensile treatment on the compression spring, relatively low rigidity required by a vibration system is achieved, low-frequency tuning can be realized in the limited vertical space of a bridge girder, and the rigidity of the vibration system is improved. The frequency application range of the tuned mass device is greatly expanded; and meanwhile, the problems that the stability problem is caused when a traditional compression spring mass body is arranged on the spring and the damping is too high and unstable due to the fact that a guide component is added are solved. The device is simple in structure, low in damping, low in space requirement and good in stability, and can be applied to vertical, lateral and torsional multi-type low-frequency vibration control of various engineering structures.

The invention relates to the technical field of civil engineering structure calculation and artificial intelligence crossing, in particular to a load displacement curve prediction method for a CFRP reinforced concrete filled steel tubular column, which comprises the following steps: acquiring load displacement curves and corresponding input parameters of the CFRP reinforced concrete filled steel tubular column under different parameter combinations, and constructing a training database; constructing a load displacement curve prediction model by taking a conditional variation auto-encoder as a framework; for the real-time state parameters of the target CFRP reinforced concrete filled steel tubular column, N times of sampling is carried out from prior distribution of a potential space to obtain N potential vectors, and the N potential vectors and the corresponding real-time state parameters are input into a decoder for prediction to obtain a curve cluster; and averaging the curve clusters to obtain a final prediction curve. According to the method, the variational auto-encoder is combined with the deep neural operator, so that a continuous and smooth whole-process load displacement curve can be directly predicted and generated, and the prediction precision and integrity are greatly improved.

The invention discloses a vibration excitation device, a vibration excitation system and a use method of the vibration excitation device, and relates to the field of engineering structure detection, and the vibration excitation device comprises a supporting frame which is used for being placed on a vibration-excited object; the supporting hinge is arranged on the supporting frame; one side of the lever is rotationally connected with the supporting hinge; the mass block is connected with the other side of the lever and is arranged on the support frame; the actuator is arranged on the supporting frame, and the output end of the actuator is connected with the lever; and the elastic piece is arranged on one side, hinged with the support, of the lever and is connected with the support frame and the lever. According to the vibration excitation device, the elastic force provided by the elastic piece fixedly installed on the supporting hinge side during resonance counteracts the inertia force, the actuator only needs to overcome the damping force, the reverse elastic force provided by the elastic piece can reduce friction damping, and the actuator power of the vibration excitation device is further reduced.

The invention discloses a waterproof safety evaluation method and system for waterproof engineering, and belongs to the technical field of waterproofing of constructional engineering. According to the method, the waterproof safety level is comprehensively evaluated by determining an engineering structure defect quantitative index, setting a reference crack width Ws, measuring a waterproof material or engineering re-waterproof performance index Wm and calculating a waterproof safety coefficient K = Wm / Ws. The system evaluates grades based on the method, and selects corresponding waterproof materials and construction methods according to engineering importance, expected deformation and service life. According to the invention, concepts of'waterproof performance 'and'waterproof safety coefficient' are put forward for the first time, a quantitative evaluation system oriented to waterproof performance is established, the defects of heavy form and light actual effect of current specifications are effectively overcome, the transformation from'form compliance 'to'performance standard' is realized, the reliability, durability and economy of waterproof engineering are remarkably improved, and the method is suitable for popularization and application. And a scientific basis is provided for engineering design, material selection and acceptance.

The invention provides a method for acquiring the continuous curvature of a segmented variable cross-section tower drum structure of an offshore wind turbine, and belongs to the technical field of ocean engineering structure monitoring based on computer data processing. Comprising the following steps: acquiring discrete strain data of the inner surface of a measurement point of a segmented tower tube structure in real time; obtaining the discrete curvature data of the inner surface of the tower drum through the strain data and the wall thickness of the measurement point; interpolating the discrete curvature data subsets of the measuring points into an inner surface continuous curvature function; verifying the continuous curvature function of the inner surface according to the check points; deriving a continuous curvature function of the outer surface of the tower drum through the curvature function of the inner surface and the wall thickness; and all the segments are repeated, and a global curvature function of the whole tower structure is constructed. According to the method, the curvature of the outer surface is strictly derived from the continuous curvature of the inner surface, so that approximate errors of a traditional thin-wall beam theory in a segmented variable cross-section, thick-wall or large-deformation scene are fundamentally avoided, and the overall deformation state of the tower drum is more truly restored.

The invention discloses a concrete wall full-section deformation monitoring device and method, and relates to the technical field of engineering structure health monitoring, and the device comprises an integrated measurement unit, a passive stable characteristic target group and a processing unit. The integrated measuring unit is composed of an area array solid-state laser radar and a high-resolution binocular vision camera which are rigidly and fixedly connected, and is used for synchronously collecting three-dimensional point cloud and two-dimensional images of a wall and an environment. The target group is arranged on an independent stable object near the wall body; the processing unit identifies coordinates of the target group based on laser radar data, establishes a world coordinate system, calculates self pose drift of the measuring unit by periodically detecting position change of the target, and performs coordinate correction on a wall surface relative displacement field obtained by visual calculation by using the drift distance; and finally, outputting a full-section absolute deformation field under a world coordinate system. According to the invention, high-precision monitoring of full-field continuous deformation of the concrete wall is realized, and the reliability and comprehensiveness of structural health monitoring data are improved.

The invention belongs to the technical field of petroleum pipe engineering structure safety, and discloses a method and system for predicting the strength of a casing under the temperature-pressure alternating working condition, and the method comprises the steps: building a casing physical parameter calculation model, calculating coupling alternating parameters, carrying out a thermal-mechanical coupling alternating test, and obtaining casing yield strength test data. Obtaining microstructure characteristic experimental data influencing the strength of the casing, and obtaining a training sample; constructing a casing yield strength prediction model fusing physical constraint and data driving, and training the prediction model through the training sample; and predicting the yield strength of the casing through the prediction model. According to the method, the coupling alternating parameter load is used as the load condition of the thermal coupling alternating test to obtain the microstructure characteristic experimental data, the microstructure characteristic experimental data is used as the sample data, and the sample data has load, temperature and microstructure evolution characteristics at the same time, so that the prediction model obtained through training can accurately predict the yield strength of the casing.

The invention relates to the technical field of engineering structure health monitoring and artificial intelligence, and discloses an offshore wind turbine tower drum base three-dimensional stress distribution prediction and visualization method, which comprises the following steps: generating batch working conditions by presetting a bending moment range and an interval, and calling a finite element software automation script to execute static analysis; node stress values are extracted and integrated into a structured training data set; customizing neural network training: constructing a full-connection network, and training a model by adopting a standardized preprocessing and early stop mechanism; generating an interactive cloud picture: generating a 3D stress cloud picture HTML (Hypertext Markup Language) file supporting rotation / zooming / data query based on a spatial interpolation algorithm and a Plotly tool, and automatically marking the coordinate and the numerical value of a maximum stress point; and end-to-end system deployment: packaging as a Flask Web application, and inputting a bending moment value by a user to generate an interactive cloud picture in real time. The stress analysis period is greatly shortened, the engineering application threshold is reduced, and rapid evaluation and remote cooperation of the offshore wind turbine tower drum base can be efficiently supported.

A system and method for programmed multimaterial assembly via a freeform multimaterial assembly process, including controlling a multi-axis actuation system to synergistically integrate a fused filament fabrication (FFF) process and a direct ink writing (DIW) process with a freeform laser induction (FLI) process for the construction of 3D engineered structures; causing generation, via the controlled multi-axis actuation system, of structural components of one or more target 3D engineered structures via the FFF process and the DIW process; causing generation, via the controlled multi-axis actuation system and based on the generated structural components, of functional materials via the FLI process; and causing construction, via the controlled multi-axis actuation system, and based on the generated structural components and the generated functional materials, of the one or more target 3D engineered structures.

The invention provides a ship and ocean engineering structure corrosion fatigue crack propagation rate prediction method based on machine learning. The method comprises the following steps: S1, obtaining all characteristic variables; s2, screening core influence factors from all feature variables through a feature selection algorithm to obtain feature data; s3, establishing a machine learning prediction model which adopts one of a plurality of machine learning algorithms, and inputting the feature data into the machine learning prediction model to learn a nonlinear mapping relationship between corrosion fatigue crack growth rate data and the selected variables, optimizing the machine learning prediction model by using a hyper-parameter optimization method to obtain a trained model; and S4, inputting feature data of a to-be-predicted target into the trained model for prediction to obtain the corrosion fatigue crack growth rate of the to-be-predicted target. The method is suitable for service safety analysis and life evaluation of key facilities such as ships, ocean platforms and submarine pipelines.

The invention provides a fan tuned mass inerter damper structure and a parameter design method, and belongs to the field of ocean engineering vibration reduction. The structure comprises an engineering structure, an outer sleeve, a roller, an inner sleeve, an additional mass block, four damper spring units and four inerter system units. The engineering structure is fixed with the external sleeve, and a guide rail is formed between the engineering structure and the external sleeve; the additional mass block is arranged in the center of the inner sleeve, the four inerter system units are connected with the damper spring unit and located on the same plane, the other ends of the four inerter system units are connected with the inner wall of the inner sleeve, and each inerter system unit comprises an inerter system spring, a damping unit, a first inerter unit and a second inerter unit. According to the structure, translation-rotation conversion is achieved through the inerter unit, efficient inertia synergy is achieved with small physical mass, and the load of a draught fan is relieved; the four units are symmetrically arranged to ensure omnidirectional vibration suppression; the roller guide rail reduces friction and improves response sensitivity and energy consumption efficiency; according to the parameter design method, parameters are accurately optimized, and broadband vibration reduction performance and engineering reliability are guaranteed.

The invention discloses an efficient and low-cost high-strength steel plate for a 1300MPa-grade low-temperature engineering structure and a manufacturing method of the high-strength steel plate, and belongs to the technical field of low-carbon microalloyed steel production. Optimized steelmaking, heating, rolling, pre-straightening, relaxation, controlled cooling, hot straightening and tempering processes are adopted, an ultra-fast cooling and laminar cooling mode is adopted for controlled cooling, chemical components of the steel plate contain Ce, and finally the problems that the 1300MPa-level hot-rolled steel plate with the thickness of 10-50 mm produced through an online cooling process is low in toughness, high in yield ratio, low in flaw detection qualification rate and uneven in plate shape are solved.

The invention belongs to the technical field of vibration control, and discloses a tuned mass damping device for controlling low-frequency vertical bending vortex vibration of a large-span bridge, which consists of a fixed pulley, a mass block, a high-strength light force transmission cable, a spring, a hanging ring and a damper. Fixed pulleys and mass blocks are arranged at the positive and negative maximum displacement positions of a longitudinal bridge direction mode of a main beam respectively, a suspension system is formed by a full-length force transmission cable, and the gravity of the two mass blocks is basically balanced; the mass block is connected through the spring and is close to the bridge vibration control target frequency. When the bridge vibrates, the two mass blocks generate inertia forces which are opposite in direction but overlapped with each other, the driving system and the bridge form resonance, and therefore bridge vibration is effectively restrained. The gravity of the mass block can be self-balanced, the strength and the number of the springs are greatly reduced compared with those of a traditional TMD, any low-frequency tuning can be conducted in a vertical limited space, and the engineering cost is remarkably reduced. The device can be used for controlling vertical bending and torsional vibration of various engineering structures; the damper is replaced by an actuator, so that active control can be realized or the damper can be used as a structural excitation device.

The invention discloses a long-distance engineering structure deformation monitoring method and system based on optical fiber sensing. The deformation monitoring method comprises the following steps: arranging a sensing optical cable (3) along a long-distance engineering structure; a data monitoring module (5) is configured, the data monitoring module is used for receiving a sensing signal of the sensing optical cable and analyzing and monitoring the obtained signal data, so that the deformation condition of the long-distance engineering structure is monitored; and the sensing optical cable is arranged at the structural joint according to a Z-shaped return routing arrangement form. By adopting the deformation monitoring method and system, for sensing optical cables arranged on a coast defense levee, wiring arrangement is carried out at the structural joint between two adjacent blocks (1) according to a Z-shaped return wiring arrangement form, so that two-dimensional deformation monitoring can be carried out on the structural joint, the overall deformation condition of the coast defense levee can be mastered more comprehensively, and the monitoring accuracy of the coast defense levee is improved. And the monitoring accuracy and reliability are improved.

The invention discloses an underground engineering structure total space deformation analysis method based on a multi-depth camera array, and relates to the field of space deformation, and the method comprises the steps: employing the multi-depth camera array to collect a depth image and a color image of an underground engineering structure, and generating an alignment depth image of each depth camera; performing internal reference calibration on the depth camera, and converting an aligned depth image of the depth camera into three-dimensional color point cloud data of the depth camera; performing external parameter calibration on each depth camera to obtain an optimized transformation matrix from each slave camera to the master camera; transforming the three-dimensional color point cloud data of each subordinate camera to a coordinate system of the main camera by adopting an optimized transformation matrix to obtain a three-dimensional model of the underground engineering structure; and determining corresponding point pairs in the three-dimensional model obtained in different periods, and calculating the Euclidean distance between the corresponding point pairs to realize the full-space deformation analysis of the underground engineering structure. According to the invention, low-cost and high-precision underground engineering deformation monitoring is realized.

A stratum reinforcement modeling and analysis method for a shield tunnel crossing an existing structure is provided. Geological information and an engineering structure condition of the existing structure are acquired. Physical parameters of different soil mass layers are determined based on a laboratory test. A three-dimensional (3D) model is constructed. Mesh generation is performed on the 3D model defining a constraint for the 3D model. Model parameters are selected for the 3D model. A soil mass constitutive model is selected for the 3D model. Synchronous grouting simulation, construction load simulation and shield tunneling construction simulation are performed on the 3D model. Stratum parameters are changed to achieve stratum reinforcement modeling. Data analysis is performed by adopting different reinforcement schemes to achieve stratum reinforcement modeling and numerical analysis of the process of the shield tunnel crossing the existing structure.

The invention belongs to the technical field of hole and crack disease monitoring of an engineering structure, and particularly relates to a hole and crack disease targeted vibration characteristic monitoring method of an engineering structure, which adopts a double-targeted technical route, and through DAS vibration demodulation and BOTDA strain / stress and temperature demodulation, the whole engineering structure is monitored, and the target vibration characteristic of the hole and crack disease of the engineering structure is obtained. According to the technical scheme, the embedded composite optical fiber force rib is targeted and transferred to monitoring of the embedded composite optical fiber force rib in the engineering structure, so that the problems of mass data acquisition and analysis are solved, tight consolidation and coordination of the embedded composite optical fiber force rib, the embedded composite optical fiber force rib and the embedded composite optical fiber force rib are realized in the aspect of implantation, the monitored data are highly coupled, the internal condition of the engineering structure is really deeply sensed, and the defects in the prior art are overcome. The problems that an existing optical fiber sensing unit cannot go deep into a structural body, the coupling performance of collected data is poor, deformation is not coordinated, data offset is large, the detection rate is low, damage is prone to occurring, long-term durability is poor, an integrated active excitation source does not exist when the existing optical fiber sensing unit is pasted, embedded or shallowly buried in the structure, and a passive source signal is weak and cannot monitor a signal are solved.

The invention belongs to the technical field of bridge wind resistance, and discloses a large-span bridge wind-induced low-frequency torsional vibration control device which is mainly composed of a fixed pulley, a rope, a mass block, a spring and a damper or an actuator. Based on the characteristic that the two sides vertically vibrate in opposite phases during torsional vibration of a bridge girder, mass blocks are transversely and symmetrically arranged on the bridge girder in a stress mode of rope suspension and fixed pulley transmission, so that the mass blocks on the two sides are balanced in self weight in a static state, and the bearing capacity requirement of a spring or an actuator and the engineering cost are greatly reduced. Compared with a low-frequency torsional vibration control traditional passive measure, the strength, the length, the number and the cost of the spring are greatly reduced, and the static deformation of the spring is greatly reduced. Compared with a low-frequency torsional vibration control traditional active measure, the driving force and power consumption requirements of the actuator are greatly reduced, the weight is lighter, and the cost is lower. The device is also suitable for different-frequency torsional vibration control and torsional vibration excitation of other engineering structures, the function is powerful, and the application range is wide.

The invention discloses a method and a system for presuming a correction coefficient of the strength of a standard test piece by adopting a small core sample test piece, and belongs to the technical field of concrete strength detection. The method solves the problems of large error and high discreteness of a presumption result caused by factors such as size effect, aggregate constraint and process difference when the standard strength is directly presumed by adopting the strength of a small core sample in the prior art, constructs a historical sample library containing multi-dimensional characteristics, calculates an initial correction coefficient and a size ratio, and obtains the presumption result of the standard strength. Key factors such as the small core sample size, the coarse aggregate particle size, the water-binder ratio, the curing age and the height-diameter ratio are comprehensively considered, an intelligent correction model is established by utilizing algorithms such as a gradient boosting decision tree and a random forest, and a comprehensive correction coefficient can be scientifically and accurately output, so that the actually measured strength of the small core sample is reliably converted into the strength of a standard test piece; and the presumption precision and the result stability are greatly improved, so that reliable technical support is provided for safety and durability evaluation of an engineering structure.

The invention provides a structure multi-type apparent damage identification and detection report generation method based on a multi-modal large model. According to the method, the image recognition result and a natural language generation technology are fused, so that full-process automation from damage detection to report generation is realized, and the intelligent level of building structure health monitoring is remarkably improved. According to the method, automatic identification and accurate positioning of multi-type damage of the appearance of civil engineering structures such as buildings and bridges can be realized, and objective and normalized maintenance suggestions and detection reports are generated in combination with a vision-language multi-modal modeling method, so that the intelligence and automation level of structural appearance damage detection and operation and maintenance management is improved.

The invention belongs to the technical field of water conservancy informatization, and provides a water conservancy information automation and safety control method and system, and the method comprises the following steps: S1, collecting the water level, flow, water quality, weather and engineering structure safety data in real time through an Internet of Things sensing device disposed at a water conservancy project site; s2, on the basis of historical disaster data, real-time monitoring data and hydraulic engineering characteristic parameters, constructing a digital twinborn model containing four-dimensional linkage of'forecasting-early warning-rehearsing-plan '; s3, according to a risk assessment result, a control instruction is sent to an execution mechanism through the Internet of Things platform; by integrating advanced technologies such as the Internet of Things, edge calculation, deep learning, digital twinning and reinforcement learning, automatic acquisition, processing, analysis and intelligent decision making of water conservancy information are realized, the real-time monitoring, early warning and emergency response capabilities of a water conservancy project are remarkably improved, safe operation of the project is ensured, resource allocation is optimized, and the working efficiency is improved. And the management efficiency is improved.

The invention discloses a concrete vibrating process control method, computer equipment and a storage medium. The concrete vibrating process control method comprises the following steps: S1, performing multi-dimensional data acquisition on a concrete pouring area; s2, fusing the collected data, and constructing a visual three-dimensional model; s3, generating a vibration scheme based on the vibrator application rule, and establishing a quality prediction model; s4, the vibration scheme is projected to visual equipment for auxiliary vibration; s5, the completion degree of each vibration step is monitored in real time, and whether vibration reaches the standard or not is predicted through the quality prediction model; s6, detecting the quality of the vibrated concrete, establishing a vibration process database, and performing correlation analysis on the vibration process database and the data; s7, performing optimization training on the quality prediction model based on the correlation analysis data in the step S6; and S8, generating a vibration compensation implementation step, and repeating the step S4 and the subsequent steps, so that the problems that the vibration step cannot be quantified according to a specific engineering structure and the corresponding vibration completion degree cannot be quantified in the prior art are solved.