1302 results about "Structural deformation" patented technology

The embodiment of the invention discloses an outer wall thermal insulation defect diagnosis method and system based on artificial intelligence, and the method comprises the steps: firstly obtaining an infrared thermal imaging and visible light image sequence of a target building outer wall, the former comprising continuous temperature distribution data, and the latter comprising textural feature data in time-space alignment with the latter; performing dynamic temperature gradient analysis on the infrared thermal imaging image sequence to generate a three-dimensional heat conduction abnormal map, extracting surface deformation characteristics from the visible light image sequence to generate a structure deformation distribution map, and performing multi-modal characteristic fusion on the two to obtain a joint defect characteristic matrix; performing defect type classification and region positioning on the matrix based on a pre-trained deep residual neural network model, outputting a defect type identifier and a corresponding region boundary coordinate, and finally generating a diagnosis report containing a repair priority score and a material matching suggestion according to the defect type identifier and the corresponding region boundary coordinate, and sending the diagnosis report to a user terminal for visual display. And efficient and accurate external wall thermal insulation defect diagnosis is realized.

The embodiment of the invention discloses an external wall thermal insulation falling risk prediction method and system based on a deep learning model, and the method comprises the steps: firstly collecting the multi-dimensional state data of a target building external wall, covering the thermal insulation layer material attribute, environment exposure history, structure connection strength, and surface deformation monitoring and construction technology record data; extracting a material aging feature vector from the thermal insulation layer material attribute data, and extracting a space-time distribution feature from the environmental exposure historical data to generate an environmental action feature tensor; fusing structural connection strength and surface deformation monitoring data into a structural deformation association map, converting construction process record data into process defect probability distribution, inputting the data into a pre-trained multi-modal risk prediction network, outputting an outer wall thermal insulation layer falling risk level and risk area thermodynamic diagram, and predicting the falling risk level of the outer wall thermal insulation layer. And finally, generating a dynamic monitoring strategy containing a sensor deployment optimization scheme and a detection period adjustment parameter according to a result, and realizing accurate risk prediction and efficient monitoring.

The invention discloses an intelligent monitoring system for deformation and stress of a deep foundation pit supporting structure, relates to the technical field of deep foundation pit supporting monitoring, and is used for solving the problem of poor early warning of the deformation risk of the supporting structure. According to the method, high-density acquisition of inclination angle, deformation and stress data of a key area of a deep foundation pit supporting structure is realized by constructing a sensitivity-driven measuring point layout mechanism; the method comprises the following steps: constructing an inversion model based on stress and strain rates, obtaining a structural equivalent modulus, extracting a change rate of the structural equivalent modulus, judging a rigidity evolution trend, further constructing a modulus change rate space field, setting a region threshold by combining a disturbance sensitivity factor, realizing abnormal region identification and spatial positioning, and extracting structural response behavior information on the basis. And driving a system to trigger a grading response strategy according to an analysis result of the structure response behavior information, thereby realizing intelligent early warning of local deformation and stress instability of the deep foundation pit supporting structure.

The invention provides an online calibration method and system for a flowmeter of a natural gas well, and belongs to the technical field of natural gas exploitation and transportation, firstly, a multiphase flow state sensing signal in a transportation pipeline of the natural gas well and a structural deformation monitoring signal of the flowmeter to be calibrated are obtained, and then interactive interference characteristic analysis is conducted on the two kinds of signals; the method comprises the following steps: obtaining a flow state-deformation interaction interference characteristic set, generating a multiphase flow adaptive calibration factor based on the flow state-deformation interaction interference characteristic set, inputting the multiphase flow adaptive calibration factor into a metering signal processing unit to dynamically correct an original metering signal, and obtaining a corrected metering output signal; and finally, collecting matching degree data of the correction signal and the real-time multiphase flow state sensing signal to form a calibration adaptive feedback signal, thereby comprehensively considering the influence of the multiphase flow state and structural deformation, and improving the metering precision and reliability of the flowmeter.

The invention relates to a thermal insulation evaluation method for a light recycled building block based on thermal coupling simulation, which comprises the following steps: modeling the recycled building block into a heterogeneous multiphase complex, and introducing a three-layer structure field of micro pores, mesoscopic aggregates and macroscopic blocks; a partition coupling strategy is adopted, a microstructure variability-heat flux density disturbance-stress field reconstruction causal chain is constructed, and macroscopic thermal insulation performance fluctuation caused by thermal deformation is captured; tracking a thermal stress concentration area caused by temperature difference change through thermal and force coupling simulation; analyzing the influence of a thermal stress migration path on local structure integrity, pore change and crack evolution; constructing a thermal stress and structure disturbance factor framework, and evaluating the influence degree of the structure local deformation on the thermal resistance; extracting high-dimensional feature data; establishing a heat and force characteristic space; constructing a response surface equation, and mapping a change track of the thermal insulation performance in a heat and force coupling response space; a time and structure response composite scoring system is formed, real coupling of multiple physical fields is achieved, and limitation of traditional evaluation is broken through.

The invention provides a fluid-structure interaction vibration simulation and suppression method for a water-jet propeller, and belongs to the field of numerical simulation of computational fluid mechanics. The method comprises the following steps: establishing a finite element model of a water-jet propeller impeller-shafting coupling system; performing dry mode and wet mode comparative analysis on the finite element model by utilizing a finite element method, and verifying the effectiveness of the model; dividing finite element grids of a structural domain and a flow field domain; establishing a fluid-solid coupling model; on the basis of bidirectional fluid-solid coupling numerical calculation, the flow field speed and acting force are solved through CFD, the structure movement speed and displacement are updated, a flow field grid is further updated, flow numerical calculation continues to be conducted, and iteration is conducted till the simulation time ends; flow-induced vibration characteristics are analyzed through post-processing, and the vibration amplitude is restrained by adjusting the mass center position of the impeller airfoil. According to the method, the bidirectional fluid-solid coupling model of the impeller-shafting system of the water-jet propeller is constructed, structural deformation and transient flow field information are directly associated, and the hydrodynamic performance is improved.

The invention belongs to the technical field of hypersonic flight vehicle design, and discloses a design method for a thermal experiment model of a front body and an air inlet channel of a high-speed wind tunnel. The design verification method comprises the following steps: determining an overall structure and design requirements; determining a heating structure; determining a pressure measuring point and a temperature measuring point; determining an independent temperature control adjusting device; verifying the influence of the heat insulation groove on temperature gradient distribution; verifying the heat insulation effect of the heat insulation measures; model structure deformation generated by temperature is investigated; obtaining a heat flux density and surface temperature relation curve; the influence of model structure deformation on the flow field is studied. The design verification method proves that the precursor of the high-speed wind tunnel and the air inlet duct thermal experiment model have accurate temperature control and thermal insulation protection capabilities, and verifies the obvious influence of wall temperature change on the flow field structure; the aerodynamic thermal coupling effect can be effectively reproduced, a hypersonic air inlet heat-flow coupling experimental platform is established, and the experimental platform has engineering practical value.

The invention relates to the technical field of data processing, and discloses a large steel structure hoisting precision real-time monitoring method and system. The method comprises the following steps: scanning and collecting the edge of a steel structure through a distributed sensor network, and obtaining structure data to obtain an original monitoring data set; extracting and analyzing structure transient response features based on the original monitoring data set, and generating a state feature matrix; analyzing a coupling relationship between local deformation and overall torsion to obtain a dynamic response prediction matrix; performing space-time registration and data fusion on the monitoring data, and constructing a state evaluation data set; carrying out optimization calculation on the hoisting parameters to generate a hoisting control data packet; and performing intelligent reasoning analysis in combination with historical case data, and outputting a control instruction sequence. Real-time monitoring of the coupling relation between local deformation and overall torsional deformation in the hoisting process of the large steel structure is achieved, and the technical defect that in the prior art, the structural deformation development trend cannot be accurately recognized and predicted is overcome.

The invention relates to the technical field of building structure health monitoring, and particularly discloses a building group safety inspection method based on external structure size displacement detection, and the method comprises the steps: obtaining three-dimensional laser scanning point cloud data of a target building group at a plurality of time points, adding timestamp information, and constructing a time sequence point cloud data set; initial registration is carried out by adopting a feature matching and motion recovery structure technology, and the registration precision and stability in a dynamic environment are improved in combination with a global optimization model fused with space-time consistency constraints; identifying and eliminating pseudo displacement point clusters through track consistency analysis, and extracting a static background structure; finally, key part deformation identification is carried out on the differential point cloud data, and a structure health state evaluation report is generated. According to the invention, full-process automatic processing from data acquisition, optimization registration to intelligent evaluation is realized, the dynamic interference influence is effectively inhibited, the precision and reliability of structural deformation monitoring are improved, and technical support is provided for long-term safety inspection of building groups.

The invention relates to the technical field of safety assessment of building construction, and discloses an online simulation analysis method for safety assessment of a foundation pit, which comprises the following steps: S1, data acquisition, cleaning and preprocessing: acquiring soil pressure, underground water level, structural deformation, temperature and humidity information around the foundation pit by deploying a plurality of sensors, the invention further provides an online simulation analysis system for foundation pit safety assessment, online simulation analysis equipment for foundation pit safety assessment and a computer readable storage medium. The deep reinforcement learning algorithm, the intelligent early warning mechanism and the distributed storage and encryption technology are introduced, real-time monitoring, accurate early warning and data safety guarantee of foundation pit safety assessment are achieved, and the safety, efficiency and reliability of the foundation pit construction process are improved.

The invention relates to the technical field of hydraulic engineering monitoring, and discloses a hydraulic engineering operation risk monitoring management system based on multi-sensor fusion. The system comprises a data acquisition module, a data fusion module, an early warning and instruction generation module, and an instruction distribution and verification and correction module. The data acquisition module acquires structural deformation, water flow pressure and environment temperature and humidity data in real time through multiple types of intelligent sensors; the data fusion module inputs the collected data into a dynamic weighted fusion model, and generates a comprehensive monitoring index in combination with a sensor confidence coefficient weight and a historical data deviation rate; the early warning and instruction generation module triggers multi-stage early warning and generates an equipment regulation and control instruction set according to the comprehensive monitoring index and a preset safety threshold value; the instruction distribution module distributes the instruction to an execution terminal through a distributed message queue; and the verification and correction module checks terminal feedback signals by using a back propagation verification mechanism, and corrects the confidence coefficient weight of the model.

The invention relates to an automatic measurement method and system for deformation of a large-area foundation pit supporting structure. The method comprises the following steps: performing synchronous data acquisition processing on multiple types of monitoring point groups arranged according to the large-area foundation pit supporting and protecting structure to obtain an initial measurement data set for representing the deformation state of the supporting and protecting structure; based on a time sequence division mode taking a construction working condition change node as an index, performing staged grouping processing on the initial measurement data set to obtain a dynamic measurement curve set for the deformation evolution process of the supporting and protecting structure in different construction stages; and according to the dynamic measurement curve set, performing pattern recognition processing on the deformation behavior of the supporting and protecting structure in the whole construction period to obtain a multi-dimensional deformation feature set for describing the overall deformation feature and the local deformation feature of the supporting and protecting structure. By the adoption of the method, accurate recognition and reliable analysis of the deformation rule and the abnormal deformation phenomenon of the large-area foundation pit supporting structure can be improved.

The invention discloses a nonlinear beam unit analysis method considering prestressed tendon bonding slippage, which comprises the following steps: establishing an overall structure analysis model according to the geometric dimension of a prestressed concrete beam, dividing calculation units, and assembling unit stiffness matrixes into a structural overall stiffness matrix; applying load and boundary conditions to the overall structure analysis model, and solving the overall analysis model by adopting a Newton iteration method; and extracting calculation results of structural deformation, stress, section internal force, prestressed tendon relative slippage and the like, drawing a load-deformation curve, and calculating structural rigidity and bearing capacity according to the slope and peak value of the curve. The calculation unit provided by the invention is an 8-degree-of-freedom beam unit, not only is the stress characteristic of the beam structure considered, but also the bond slip characteristic of the prestressed tendon is considered, the problem that a traditional beam unit analysis model cannot consider the bond slip effect of the prestressed tendon is solved, and compared with an entity unit analysis model, the convergence is better, and the calculation efficiency is higher.

The invention belongs to the technical field of vehicle steering control, and relates to a van semitrailer steering synchronization angle closed-loop test calibration system, which comprises the following steps of: firstly, executing a static steering test on a no-load combined vehicle, and constructing a mapping reference table of a saddle space position and an ideal hinge angle; then multi-working-condition dynamic steering testing is carried out on the load combination vehicle, vehicle frame deformation data are collected in real time, the deformation data are converted into a hinge angle compensation value through a pre-trained deformation mechanical model, selective correction is carried out on the actually-measured hinge angle based on a deformation compensation starting threshold value, a calibration target is generated to reversely analyze the target saddle position, and the target saddle position is corrected; the problem that in the prior art, inevitable elastic structure deformation and real mechanical steering asynchronous faults of the van semitrailer under the actual dynamic load working condition cannot be fully considered and distinguished is effectively solved, and then multi-working-condition driving verification data are collected, deformation mechanical model parameters are iteratively updated, and a compensation threshold value generation strategy is generated. And closed-loop optimization is realized.

The invention provides a steel roof full-period deformation monitoring method and system based on multi-source sensor fusion, and belongs to the technical field of monitoring structural deformation or stress, and the method comprises the steps: laying a multi-source sensor network for synchronously collecting data; determining sliding block stress distribution data of the steel structure in the sliding process, and determining a local buckling risk area in combination with the dynamic vibration data; the steel roof is divided into a plurality of asymmetric sliding blocks, and a sliding path correction instruction is generated in combination with the geometric state data of the sliding track; compensating the geometric deviation of the slip track in real time, and predicting a critical deformation threshold value of a subsequent construction stage by combining an initial gap parameter of the pre-embedded support structure; and after sliding is completed, steel column falling track data are tracked in real time, the unloading rate is dynamically regulated and controlled in combination with the critical deformation threshold value, and the unloading path is calibrated through the compensated sliding track geometric state data till the deformation error is converged within the preset tolerance range. And the construction precision and safety are effectively improved.

The invention discloses a ten-thousand-square-meter muddy deep foundation pit supporting structure deformation prediction method which comprises the following steps: establishing a soil-supporting interaction rheological model, simulating stress relaxation and creep effects of muddy soil in combination with a Burgers rheological model, and realizing dynamic evolution prediction of a supporting structure deformation field and an internal force field. According to the method, the particle filter algorithm is adopted to carry out denoising processing on real-time monitoring data, model parameters are updated through the Bayesian method, and the prediction precision is improved. Meanwhile, nonlinear mapping of the deformation rate and the internal force increment is established by using a random forest algorithm, and instability risk probability distribution is generated. According to the method, multi-stage collapse early warning thresholds are set, monitoring data and prediction results are fused by adopting a weighted average method, and abnormal points of a high-risk area are identified. For a high-risk area, a genetic algorithm is applied to optimize the rigidity and prestress distribution of a supporting system, effective control over deformation and internal force of a supporting structure is achieved by dynamically adjusting construction parameters, and construction safety of the deep foundation pit is ensured.

The invention relates to a structure deformation observation method and system based on binocular zooming. The method comprises the following steps: selecting a plurality of monitoring sections to arrange targets; a binocular camera is arranged to carry out image acquisition on the target, and the image is transmitted back to a rear-end processing system; the rear-end processing system calculates the difference value of the coordinate points of the targets before and after monitoring to obtain the displacement amount of each target in the monitoring period and perform statistics to complete section two-dimensional deformation monitoring; a binocular camera is used for collecting images of a region near a monitored section, the images are compared with a preset image to obtain feature points, the feature points are transmitted back to a rear-end processing system, a depth map is obtained after depth calculation, and three-dimensional deformation monitoring of cracks and slab staggering is completed. The binocular vision instrument is used for monitoring deformation data in a three-dimensional space in the depth direction, crack and slab staggering deformation characteristics on the side wall of the tunnel are accurately reflected, a high-quality image of a distant tunnel is obtained through zoom control, and therefore a target with a smaller size can be used, and the occupation and influence of the target on the tunnel space are reduced.

The invention relates to the technical field of building construction equipment, and discloses a supporting system for supporting a curtain wall construction hanging basket at a light well to be stressed through a scaffold. The system comprises a scaffold stress monitoring module, a hanging basket attitude calculation module, a supporting force distribution module, a structural deformation early warning module and a self-adaptive leveling module. The scaffold stress monitoring module collects and processes stress data; the hanging basket attitude resolving module generates a dynamic balance parameter; the supporting force distribution module optimizes a supporting force distribution path; the structural deformation early warning module predicts a deformation trend and outputs an early warning level; and the self-adaptive leveling module adjusts the hydraulic expansion amount of the scaffold supporting legs to calibrate the level of the hanging basket platform. All the modules work cooperatively, real-time monitoring and precise control over scaffold stress and hanging basket postures are achieved, construction safety can be effectively improved, construction precision and efficiency can be improved, and the system further has the self-adaptive adjustment capacity so as to adapt to the complex construction environment and meet the curtain wall construction requirement of a light well.

The invention relates to the technical field of intelligent control of heavy equipment, in particular to a hydraulic synchronous intelligent control system for segmented turnover of an overweight steel structure, and discloses the hydraulic synchronous intelligent control system for segmented turnover of the overweight steel structure. According to the system, full-field strain data of a structure surface is acquired by deploying a flexible grid sensor array, and a deformation gradient topological graph is constructed to identify an instability risk area. And a dynamic fluid network model of the hydraulic system is established, fluid-solid coupling simulation is carried out in combination with deformation characteristics, and pressure pulsation transmission paths under different control instructions are predicted. And the system dynamically optimizes a data sampling strategy and network model parameters according to a prediction path, generates a hydraulic cylinder coordination action instruction subjected to pressure balance verification, and finally drives an execution mechanism to complete turnover operation. According to the scheme, full-field real-time sensing of structural deformation and dynamic coupling prediction control of hydraulic fluid are achieved, and the safety and control precision of the overweight component in the turnover process are improved.

The invention is applicable to the technical field of concrete deformation measurement, and particularly relates to a non-contact concrete deformation testing system and method based on a laser ranging technology, and the system comprises a laser ranging unit which is provided with a double-frequency phase modulation laser, an optical transceiver antenna and a phase detection circuit; the environmental parameter acquisition unit comprises a temperature sensor, a humidity sensor and an air pressure sensor; and the data processing unit carries an atmospheric refractive index calculation module, a Kalman filtering algorithm and a three-level early warning module, and supports wired / wireless data transmission. The distance measurement precision is high, and the concrete micro-deformation monitoring requirement is met; non-contact characteristic: non-damage monitoring on the concrete surface is realized through a diffuse reflection target; intelligent data processing: structural deformation and environmental noise are effectively distinguished, and the early warning reliability is improved; automatic monitoring is achieved, and the manual inspection cost is greatly reduced.

The invention relates to the technical field of structural deformation shape reconstruction, in particular to a novel inverse finite element deformation reconstruction method based on virtual deformation field physical constraint. According to the method, a virtual displacement field obtained by sparse strain through inverse finite element reconstruction is used as a strain extrapolation physical constraint; and an iteration thought is adopted, extrapolated strain and measured strain are used for inverse finite element deformation reconstruction again, a new virtual displacement field is obtained, and therefore strain extrapolation can be restrained again. And continuously iteratively reconstructing virtual deformation and extrapolation strain in this way, and finally reconstructing real structural deformation. And determining the accuracy rate of the deformation characterization values based on a plurality of actually measured actual deformation characterization values and a plurality of deformation characterization values determined by the extrapolation strain data, and determining the deformation reconstruction state based on the accuracy rate. According to the method, the strain measurement points are extrapolated through iteration in the deformation reconstruction process, and the virtual displacement field is used as physical constraint, so that the accuracy of deformation reconstruction is improved.

The invention discloses a tunnel anti-seismic structure based on gradient grouting and composite lining and a construction method thereof.The construction method comprises the steps that the geology of surrounding rock is detected, distribution of a weak area, a cavity area and a stable area of the surrounding rock is recognized, and the surrounding rock is divided into a high risk area, a medium risk area and a low risk area according to the detection result; different grouting modes, different paste and slurry proportions, different grouting parameters and different grouting thicknesses are adopted for conducting gradient grading grouting reinforcement on the risk areas of all levels; a flexible layer is poured on the inner side of the surrounding rock subjected to grouting reinforcement, an energy consumption interlayer is installed on the inner side of the flexible layer, and a high-strength rigid layer is poured and manufactured on the inner side of the energy consumption interlayer; a monitoring and intelligent alarm system is arranged in the lining and used for monitoring tunnel internal structure deformation and displacement data in real time. Through triple protection of rigid compression resistance, energy dissipation buffering and flexible energy release, the earthquake energy dissipation rate is increased, meanwhile, material waste is reduced through surrounding rock graded grouting, and the surrounding rock-lining rigidity matching degree is remarkably improved.

The invention relates to the technical field of drainage plate positioning, and discloses a pile hole positioning method and system for a drainage plate pile pipe based on a multi-source sensor. Synchronous data acquisition of a multi-source heterogeneous sensor is achieved through a GNSS receiver and an IMU, a data basis is provided for subsequent fusion calculation, and then pile pipe root coordinates and pile pipe three-dimensional attitude angles are dynamically calculated through Kalman filtering fusion according to pile driver top coordinates and pile pipe motion data. Root posture resolving errors caused by static calibration errors and structural deformation in motion are avoided; then, the coordinates of the tip end of the pile pipe are dynamically calculated through coordinate rotation transformation, machine body motion data are introduced to compensate deviation calculation, and therefore the problem that in the prior art, due to the fact that the three-dimensional posture change of the pile pipe in the construction process is neglected, drainage plate pile hole positioning is not accurate enough is solved; and it is ensured that each pile hole can meet the design precision requirement, and the problem that the construction perpendicularity is uncontrollable is fundamentally solved.

Disclosed in the present invention is a building structure safety visualization monitoring method, comprising: establishing a finite element model of a monitoring object; respectively setting a forced displacement of magnitude 1 at monitoring points of the finite element model, and calculating a structural deformation of the monitoring point under the action of forced displacement; calculating an initial structural deformation of the monitoring object under the action of dead load, and integrating deformation index data of nodes into a structural initial deformation vector; installing displacement sensors on the monitoring object, carrying out structural deformation monitoring on the monitoring points, obtaining monitoring data, and integrating the monitoring data into a monitoring data column vector; calculating a modal coefficient vector of the current monitoring data; calculating an additional deformation response column vector of the monitoring object under the monitoring data; calculating the total structural deformation of the monitoring object; and mapping the data in a building information model diagram for three-dimensional visualization display. According to the present invention, the overall total structural deformation and safety levels of a building structure can be calculated and undergo three-dimensional visual display, and readability is good.

The invention provides a building structure deformation measurement method, system and device, and relates to the technical field of building structure deformation measurement. The measuring method comprises the following steps: acquiring a laser point physical coordinate, an included angle between a laser emission direction and a world coordinate system and a building image; after the building image is preprocessed, laser point pixel coordinates are extracted; after the relative coordinates of the object surface laser points are calculated, solving a homography transformation matrix, carrying out perspective correction on the building image to obtain an orthographic projection image, and solving a conversion coefficient between pixels and an actual distance; inputting the preprocessed building image into a pre-trained semantic segmentation model to obtain a beam body segmentation mask and a beam body edge curve; and the actual span of the beam body is obtained through conversion of the conversion coefficient. According to the scheme, three-dimensional movement is achieved through the electric driving platform, the positioning position of the laser point can be adjusted according to the size and position of the building structure, buildings of different heights and angles are adapted, and the limitation that only building structures of specific types or sizes can be measured in the prior art is solved.

The invention relates to the technical field of bridge deformation monitoring, in particular to an online monitoring method, system and equipment for bridge structure deformation, and the method comprises the steps: analyzing the similarity degree of a spectrogram between each transverse component and a reference component thereof, and determining the transverse feature value of each transverse component in each GPS receiver, so as to obtain a reconstructed transverse displacement signal; determining a vertical characteristic value of each vertical component in each GPS receiver by analyzing a correlation time fitting result of all the vertical components and combining the cross correlation coefficient so as to obtain a reconstructed vertical displacement signal; and respectively analyzing extreme value distribution of the reconstructed transverse displacement signal, the longitudinal displacement signal and the reconstructed vertical displacement signal, and determining a deformation monitoring result of the bridge floor of the to-be-detected bridge. The interference of external wind power and traffic load on bridge structure deformation monitoring is solved, and the accuracy of bridge structure deformation monitoring is improved.

The invention discloses a multi-mode cooperative intelligent forming control system, particularly relates to the field of production strategy control, and is used for solving the problems that a control strategy is difficult to dynamically adjust according to different mold characteristics in an existing mold forming process, and intelligent matching cannot be realized due to forming period section division. A preloading module is used for collecting mold press-fitting displacement parameters and a thermal response curve in a forming period, a response hysteresis analysis module is used for analyzing stress response and structural deformation absorption capacity of a mold, a thermal inertia analysis module is used for identifying a mold thermal inertia window, and a section division strategy space of the current forming period is jointly constructed; and time sequence boundaries of the pressure rising section, the pressure stabilizing section and the cold conversion section are set through the control module, and accurate control over the forming process is achieved. The system further constructs a biaxial parameter space based on a hysteresis attribute and a thermal inertia window through a strategy space updating module, executes strategy updating, and forms a strategy adjustment network capable of adapting to the multi-mode collaborative processing process.

The invention relates to a concave angle asymmetric double-layer negative Poisson's ratio superstructure and application thereof. A concave angle asymmetric double-layer negative Poisson's ratio superstructure comprises bearing pressing plates symmetrically arranged at the upper end and the lower end and a plurality of unit cell elements arranged between the two pressing plates, and is characterized in that the unit cell elements are arranged at equal intervals in the transverse direction and the vertical direction respectively to form an m * n array, each unit cell unit comprises a double-layer concave corner body, transverse connecting rods on the two sides and a vertical connecting rod on the upper portion, the lower portion of each double-layer concave corner body is an outer flat plate cell wall, and the ends of the transverse connecting rods between every two transversely adjacent unit cell units are connected into a whole. And the end parts of the vertical connecting rods between the vertically adjacent unit cell elements are connected with the outer flat plate cell walls into a whole. The deformation mode of the superstructure is influenced by the impact speed, when the speed is increased, the deformation mode transits from overall deformation to local deformation, different local deformation zones are generated, the superstructure has different horizontal contraction processes at different impact speeds, the negative Poisson's ratio effect is reduced along with the increase of the speed, and the local deformation zones are reduced. The superstructure can be applied to anti-impact protection parts of automobiles, airplanes and unmanned aerial vehicles and anti-impact protection parts of wearable protection devices.

The invention discloses a deformation monitoring method and a deformation monitoring device for a concrete tower drum. The deformation monitoring method comprises the following steps: synchronously acquiring wavelength drift and accompanying temperature of a pre-embedded fiber grating sensor and calibration point coordinates of external visual equipment; carrying out temperature compensation on the wavelength drift to calculate the total mechanical strain; accumulated creep is calculated based on concrete rheological characteristics and stripped from total mechanical strain, and effective elastic strain is obtained; fitting the curvature by using the effective elastic strain and reconstructing the theoretical reference displacement of the tower drum; and inputting the theoretical reference displacement and the calibration point coordinates into a Kalman filter, and outputting a final real deformation amount. According to the method, the creep component is accurately stripped, so that false deformation and false alarm in long-term monitoring are eliminated; and meanwhile, the absolute coordinates of the external visual data and the all-weather characteristics of the internal optical fiber data are combined for fusion correction, so that the problems that a traditional integration method is large in accumulative error and visual monitoring is easily interfered by the environment are solved, and high-precision and high-robustness structural deformation monitoring is realized.

The invention discloses a BIM-based water conservancy project monitoring method and system, and the method comprises the steps: determining a deviation analysis result corresponding to a target component based on abnormal monitoring data and historical monitoring time sequence data, determining an influence range component and a structural deformation type corresponding to the target component based on the deviation analysis result, and determining a structural deformation type corresponding to the target component; determining a deformation parameter set corresponding to the influence range component, determining a risk level and a monitoring frequency corresponding to the influence range component based on the deformation parameter set and a preset safety deformation range, obtaining a high-frequency data stream corresponding to the influence range component based on the monitoring frequency, and determining a high-risk component from the high-frequency data stream, and determining position information corresponding to the high-risk component, and labeling the high-risk component in a preset component model based on the position information to obtain a detailed water conservancy monitoring report. Through the method, the accuracy and efficiency of hydraulic engineering monitoring data processing can be improved.