1239 results about "Structural safety" patented technology

The invention discloses a multi-parameter collaborative optimization design method for lateral impact resistance of a honeycomb sandwich panel battery pack, and relates to the technical field of structural safety and lightweight design of new energy automobile battery packs. An existing battery pack generally has the defects of insufficient light weight, limited energy absorption efficiency and lack of multi-parameter collaborative optimization with an upper box body, a lower box body and a stiffening beam in impact resistance research. Therefore, according to the honeycomb sandwich panel battery pack lateral impact resistance multi-parameter collaborative optimization design and parameter calculation method, a honeycomb sandwich panel finite element model is established, performance parameters are obtained, an optimal energy absorption combination is screened, then a battery pack box body finite element model is established, and multiple design variables are set; and constructing a function relationship between variables and responses by utilizing an agent model, and carrying out multi-objective optimization by combining an NSGA-II algorithm to finally obtain an optimal design parameter meeting a safety threshold and carrying out simulation verification. The method is suitable for battery pack anti-impact protection design work of the electric automobile under the lateral collision working condition.

The invention relates to the technical field of data analysis and control, in particular to a hydraulic climbing frame safety control method based on digital monitoring, which comprises the following steps: acquiring monitoring data in real time through a sensor group arranged on a hydraulic climbing frame, preprocessing and analog-to-digital conversion are carried out on the monitoring data, then the data are formed and sent to a remote monitoring center through a wireless transmission technology, and the preprocessed monitoring data are input into a pre-stored structure safety evaluation model and a hydraulic system performance evaluation model so as to be analyzed in real time; analyzing the hydraulic climbing frame, judging a safety characterization state of the hydraulic climbing frame according to an analysis result, determining a safety risk type based on an abnormal state of the hydraulic climbing frame, sending early warning information through a user interaction platform when a risk is judged to exist, and executing a corresponding safety control instruction; automatic real-time monitoring, intelligent early warning and active control of the safety state of the hydraulic climbing frame are achieved, and construction safety and operation reliability are remarkably improved.

The invention provides a structural design optimization method and device for an underground station constructed through a shield tunneling method, and belongs to the technical field of underground engineering.The method comprises the steps that site geological survey data of a station trepanning area are obtained and input into a three-dimensional finite element model, and an initial three-dimensional model is constructed; analyzing a dynamic load effect in a construction stage by combining a load reduction theory to obtain a target three-dimensional model; finite element analysis is carried out based on the target three-dimensional model, and the maximum principal stress of the edge of the opening is extracted; then comparing the maximum principal stress with the allowable stress of the material, and performing load reduction iteration under the condition that the maximum principal stress is greater than the allowable stress of the material to obtain a final load reduction coefficient; and taking the final load reduction coefficient, the trepanning center coordinate and the stress concentration factor as the input of a two-dimensional reinforcement model, generating an equivalent live load, calculating the reinforcement amount, and automatically realizing the reinforcement optimization design. The construction efficiency is improved and the engineering cost is reduced while the safety and stability of the structure are ensured.

The invention discloses a modularized replaceable self-resetting energy consumption type bridge pier anti-collision system, and belongs to the technical field of bridge engineering structure safety. The system includes an annular rubber pad, an annularly disposed damper module, and a shape memory alloy (SMA) tow. The damper module comprises a cylinder body, high-viscosity fluid, a reset spring, a piston and a force transmission plate. The cylinder body is fixed to the pier in a surrounding mode through bolts and rubber pads, the inner wall of the cylinder body is connected with the piston through a reset spring, the piston rod end is hinged to the force transmission plates, and the SMA wire bundles are connected with the force transmission plates. When an external impact load acts on the force transmission plate, the fluid damper provides viscous energy consumption, and the SMA wire bundle, the spring and the rubber pad provide deformation energy consumption; after the collision is finished, the system can be reset to the initial position under the synergistic effect of the SMA wire bundle, the spring and the rubber pad. By means of the modular design, efficient energy consumption and self-resetting can be achieved; and meanwhile, a single damper can be quickly replaced after being damaged, so that the maintenance efficiency and the system recoverability are greatly improved.

The invention provides a bridge monitoring data abnormal value intelligent judgment and processing system, which comprises a monitoring module used for acquiring dynamic displacement data of a plurality of monitoring points of a bridge in a non-contact manner; the preprocessing module is used for performing time synchronization and quality fusion on the displacement, load and environment data to generate multi-dimensional time sequence data; the anomaly recognition module is used for extracting collaborative deformation and power fingerprint features and performing anomaly recognition and initial classification based on the feature deviation degree; the abnormality diagnosis module is used for performing abnormality cause analysis in combination with the load and the environmental condition and outputting an abnormality diagnosis result; and the strategy generation module is used for generating a grading early warning and disposal strategy according to the diagnosis result and the structural key index usage degree. The accuracy and efficiency of bridge structure safety monitoring can be improved, and safe operation of a bridge is guaranteed.

The invention relates to the technical field of environment monitoring, in particular to a seawall ecologicalization real-time monitoring method based on multi-source data fusion. The method comprises the following steps: acquiring structure monitoring data, ecological monitoring data and water quality monitoring data of a seawall through an Internet of Things sensor, and acquiring remote sensing data of a seawall area in combination with satellite remote sensing and an unmanned aerial vehicle image; performing space-time registration and fusion on different data sources to generate a unified multi-source fusion data set; identifying a red tide abnormal event based on the fused data set, and constructing a red tide influence conduction model for predicting the damage degree of the red tide to the ecological system and the influence of the red tide to the stability of the embankment body; establishing a coupling evaluation model of ecological indexes and structural indexes, calculating a coupling coefficient by using a fuzzy comprehensive evaluation method, dynamically adjusting ecological and structural weights according to a model output result, and calculating a seawall comprehensive health index; graded early warning information is automatically generated according to a preset threshold value, and collaborative monitoring and intelligent early warning of seawall ecology and structure safety are achieved.

The invention relates to the technical field of pipe truss tubular joint welding quality control, in particular to an assembly type pipe truss tubular joint butt-joint tensioning anti-deformation welding method and system which comprises the following steps that S1, an intersecting line is divided in the circumferential direction, and butt-joint references and deformation monitoring point positions of all partitions are calibrated; s2, circumferential distributed tensioning force application point positions are set; s3, a differential pre-tightening force gradient in the circumferential direction of the intersecting line is set, and pre-tensioning force is applied; s4, synchronous cooperation of tensioning actions and deformation control of all the to-be-welded nodes is carried out; s5, welding is conducted in a partitioned and segmented mode, and the pre-tensioning force of the partition corresponding to the intersecting line is dynamically adjusted in the welding process; and S6, after welding, the pre-tensioning force of each subarea is released, and node deformation checking and precision correction are synchronously completed after force release. According to the dynamic pre-tightening force adjusting method for partition differentiation pre-tightening force gradient distribution and welding thermal cycle time sequence matching, the residual stress peak value of the node core area is greatly reduced, and the welding quality and the structural safety of the tubular node are remarkably improved.

The invention provides a construction tunnel surrounding rock stability evaluation method based on digital twinning and a related device. The method comprises the following steps: constructing a tunnel digital twinning model of a tunnel construction section; geological data and real-time progress position data of a target mileage segment in the construction process are obtained; mapping the geological data to a digital twinborn model, and updating soil body unit parameters; according to the real-time progress position data, synchronously updating activation states of a soil body unit and a supporting structure unit in the model by adopting a state change method; and extracting a surrounding rock stability index based on the updated digital twinborn model, evaluating the stability of the current construction tunnel surrounding rock in combination with a safety threshold to obtain a construction tunnel surrounding rock stability evaluation result, and constructing a tunnel construction process dynamic mapping-oriented digital twinborn model by utilizing the description capability of a finite element method on structural mechanical behaviors. Geological conditions and construction progress information which are obtained in real time on site are used as input, and the construction period structure safety risk of the drilling and blasting method tunnel is evaluated and predicted.

The invention belongs to the technical field of door and window trepanning, and particularly relates to a broken bridge aluminum alloy door and window machining automatic trepanning structure which comprises a rectangular outer frame, a clamping part, a drilling positioning frame and an electric drill body. The clamping part is arranged on the lower side of the outer frame and comprises two fixing clamping plates, and one fixing clamping plate is fixedly arranged at the edge position, close to the right side, of the lower side of the outer frame. The drilling structure can be rapidly and integrally fixed in the wall hole, then the position, to be drilled, of the door frame is fixed relative to the wall hole, and profile micro-deviation caused by drilling vibration is effectively weakened. Through the drilling positioning frame, by means of strict limiting of an electric drill moving area, the electric drill is prevented from exceeding a preset area to damage heat insulation strips or reinforcing ribs in the drilling process; and meanwhile, accurate drilling guide positioning is achieved, damage of drilling deviation to the sealing integrity of the heat insulation strips and the bearing structure of the reinforcing ribs is reduced, the heat insulation performance and the wind pressure resistance of the broken bridge aluminum profile are guaranteed, and structural potential safety hazards in long-term use are eliminated.

This invention relates to the field of hydraulic engineering, and more particularly to a method for safety assessment and optimization design of large-flow aqueduct structures. The method includes: collecting displacement, strain, and temperature monitoring sequences based on a triple probe, completing grouping, coordinate and time registration, and establishing a monitoring baseline; constructing a spatial model including support nonlinearity and fluid-structure boundary conditions, applying loading conditions, and obtaining response predictions; aligning monitoring and prediction in time and location, performing hierarchical Bayesian filtering inversion, and obtaining parameter posteriors and structural health; under the integration of in-service monitoring and accelerated degradation characteristics, using multi-task learning to generate material evolution and lifespan intervals, and automatically generating and simulating optimization schemes under reliability and maintainability constraints. This application forms a closed loop from assessment to design, effectively enhancing data comparability, traceability of uncertain information, and adaptability of the scheme to engineering projects.

The invention relates to the technical field of bridge construction equipment, and discloses a bridge fabrication machine walking attitude real-time control system based on multi-sensor fusion, and the system comprises a heterogeneous sensing and data collection module which obtains the kinematics and structural strain data of a bridge fabrication machine in real time; the offline modeling and calibration module is used for pre-establishing an initial dynamic model and a key mapping relation; the online state estimation and model self-adaption module is used for performing state estimation, model correction and disturbance identification and outputting comprehensive state information; the multi-constraint predictive control decision module is used for solving an optimization problem containing structural security constraints and generating an optimal control instruction; and the execution and feedback module analyzes the optimal control instruction to drive an execution mechanism and adjust the attitude to form a real-time closed loop. According to the invention, a scheme of fusing multi-source data and carrying out online adaptive model correction is adopted, and the fundamental defect that the control precision is obviously reduced along with time lapse and environment change due to the fact that the model is not matched with an actual system state is overcome.

The invention relates to the technical field of structural safety detection of steel structural members, in particular to a steel structural damage identification and repair method, system and device and a medium, and the method comprises the steps: obtaining a multi-source image data set and a standard corrosion test block database of a steel structural member through an unmanned aerial vehicle, the multi-source image data set comprises a polarized visible light image, a long-wave infrared temperature matrix and hyperspectral reflectivity data, and the standard corrosion test block database comprises spectral feature vectors of different corrosion grades and corresponding physical parameters; and carrying out sub-pixel level registration and feature extraction on the multi-source image data set. According to the method, the unmanned aerial vehicle synchronously carries the three cameras to carry out real-time multi-dimensional data acquisition, the problem of data splitting in traditional single-mode detection is solved, the multi-spectral data acquisition efficiency and the sub-millimeter level hidden damage identification precision are remarkably improved, and dynamic environment interference is inhibited in real time through an intelligent parameter inversion mechanism.

Aiming at the problem that the traditional method cannot adapt to the performance degradation of the retaining wall in the service period, the invention discloses a physical-data dual-drive retaining wall safety margin dynamic evaluation method which comprises the following steps: 1, inputting service period monitoring parameters, calculating various stability coefficients of the retaining wall, and mapping the stability coefficients into a safety margin reference function; 2, constructing a physical constraint learning sub-network, guiding network parameter optimization through a physical regularization loss function, and outputting an optimized safety margin reference value meeting a physical consistency requirement; 3, constructing a performance attenuation evolution sub-network, capturing time sequence dependence of parameter attenuation by using LSTM, guiding network parameter optimization through a comprehensive loss function, and outputting a safety margin loss amount; 4, fusing output results of all the sub-networks, and establishing a total safety margin function curve in the retaining wall service cycle; and 5, a dynamic safety margin index is established, and the safety margin of the retaining wall in the service period is dynamically evaluated. And a quantitative basis is provided for retaining wall operation and maintenance reinforcement decision and structure safety risk assessment.

The invention provides a PINN-based shield tunnel deformation real-time calculation method and system, and relates to the technical field of shield tunnel engineering mechanical calculation and safety monitoring, and the method comprises the steps: constructing a shield tunnel lining-foundation-load coupling physical model, and deducing a physical control equation; pre-training the deformation prediction basic model; collecting field real-time monitoring data, constructing data information loss, and forming a number-object fusion loss function; performing real-time iterative correction on the deformation prediction basic model by adopting an incremental training mode on the basis of a number-object fusion loss function, and calculating the full-section deformation of the shield tunnel in real time on the basis of the corrected deformation prediction basic model; the method gives consideration to physical rules and actually measured data, adapts to a small amount of monitoring data, guarantees real-time performance through incremental training, is high in calculation precision, can guide shield tunnel construction and operation and maintenance, and is suitable for structural safety evaluation in the construction period and the operation period.

The invention belongs to the technical field of environmental risk assessment, and particularly discloses a BIM-based fabricated steel structure assembly scheme comparison and selection method and system, and the method comprises the steps: building a three-dimensional building model based on BIM software, and extracting component information and GIS data; establishing national and local standard libraries, matching applicable standards through building positioning information, and generating parameterized assembly rules; generating a plurality of assembly type combination schemes according to rules and component logic, and interactively binding with the BIM model; calculating an assembly rate and a standard score of each scheme, and screening candidate schemes meeting structural safety and a cost threshold value; and constructing an incremental cost library, completing cost difference analysis of the candidate schemes, and outputting an optimal assembly type steel structure combination scheme. And data driving and automatic comparison and selection in the whole process are supported, the method can be applied to prefabricated building scheme design and optimization links, and the design efficiency and the scheme economy are improved.

The invention discloses a non-standard goods shelf intelligent design method and system based on a parameterized model, and relates to the technical field of computer aided design, and the method comprises the following steps: collecting parameters, and carrying out abnormal value elimination and dimension unified processing to generate a standardized demand parameter set; defining core structure parameters and establishing a component association rule, and constructing a parameterized basic model through three-dimensional modeling; the storage rack structure is optimized by combining storage mechanics and material mechanics characteristics, stress concentration is reduced, and deformation under rated load is controlled; a simulation environment is built for statics and dynamics simulation, and a simulation test report is output; screening an optimal parameter combination to generate a detailed design scheme; and receiving user feedback, adjusting parameters and material selection in combination with production feasibility and cost budget, and repeating optimization simulation steps to generate a final scheme. Efficient design of the non-standard goods shelf is achieved through parametric modeling and intelligent optimization, the structure is safe and reliable, the material utilization rate is high, and the design quality and efficiency are remarkably improved.

The invention relates to the technical field of bridge structure engineering, in particular to a new and old bridge joint vibration disturbance control method, which comprises the following steps: S1, arranging a sensor at a new and old bridge joint, and collecting vibration data of the part; according to the method, a multi-source information identification model is constructed by fusing a physical mechanism and deep learning, robust identification of a vibration source and dynamic reconstruction of a transmission path are realized in combination with vibration transmission entropy and Granger causal test, an accurate basis is provided for subsequent vibration reduction scheme design, and an adaptive scheme is screened based on vibration characteristics, so that the accuracy of vibration reduction is improved. A four-dimensional coupling model is constructed through finite element simulation, an improved genetic algorithm is adopted to solve a Pareto optimal solution under the constraint of cooperative work performance of new and old bridges, parameters are selected according to engineering priorities, and cooperative optimization of the vibration reduction effect, structural safety, cost control and durability is achieved. Therefore, the accuracy and engineering applicability of vibration disturbance control at the joint of the new bridge and the old bridge are remarkably improved.

The invention discloses an intelligent security and protection control method and system for an underground pipe gallery, and relates to the technical field of underground pipe gallery security and protection. The method comprises the following steps: S1, constructing a pipe gallery digital twinborn body; S2, collecting and fusing real-time monitoring data; S3, carrying out three-dimensional visual display; S4, carrying out potential safety risk dynamic deduction; by constructing the digital twin of the underground pipe gallery and combining the real-time monitoring data acquisition and fusion technology, comprehensive perception and real-time synchronization of pipe gallery environment parameters, equipment operation states and structural safety data are realized, the comprehensive monitoring mode remarkably improves the safety monitoring precision and breadth, and the safety monitoring efficiency is improved. According to the method, operation and maintenance personnel can find potential safety hazards in time, and meanwhile, a safety risk deduction model constructed based on a reinforcement learning algorithm can dynamically simulate state changes and risk propagation paths in different safety risk scenes.

The invention discloses a structure safety assessment method and system based on a robot holder image, and relates to the field of structure safety assessment. The method comprises the following steps: S1, controlling a robot carrying a holder and a multi-modal sensor group to collect a surface image, internal heat distribution and three-dimensional contour data of a target structure, constructing a model based on an improved deep learning network to identify and classify surface defects and internal hidden damages, quantifying the defects through an algorithm, and outputting the data; s2, constructing a digital twin based on the three-dimensional contour data, mapping design parameters, tracking a dynamic feature point displacement trajectory to calculate deformation parameters, and outputting a deformation damage analysis result through a correlation model; and S3, calling a pre-constructed reinforcement learning adaptive evaluation model, inputting defect quantitative data and a deformation damage analysis result, and outputting a safety level and a risk evaluation result combined with a preset specification. The method improves the evaluation precision and efficiency, and adapts to the evaluation requirements of different target structures.

The invention provides an early warning method and device for concrete structure cracks, and relates to the technical field of civil engineering structure detection. The method comprises the steps of obtaining a multi-view two-dimensional image, a three-dimensional laser point cloud and a sensor pose of a concrete structure at different time points, performing improved box counting fractal dimension analysis on each frame, generating a pixel-level fractal matrix, embedding the pixel-level fractal matrix into a crack segmentation model, fusing the matrix and the image to complete crack mask output, and obtaining a crack mask. And carrying out multi-source fusion on the mask and the point cloud, and carrying out spatial registration to obtain a three-dimensional point cloud model of the marked crack. Clustering and main axis fitting are carried out on crack points, geometric parameters such as a space trajectory, width and depth are calculated, and multi-temporal evolution analysis is carried out based on a three-dimensional model to construct an evolution trajectory model and time sequence characteristics. And finally, structure safety early warning information is generated through an evaluation module. According to the method, accurate crack detection under the zero sample condition is realized, and the future development trend is predicted by using the time sequence model.

The invention discloses a hydro-junction construction period structure safety assessment method and system based on digital twinning, and relates to the technical field of hydro-junction safety assessment, and the method comprises the steps: carrying out the safety correlation analysis of a hydro-junction construction period structure; constructing a multi-level digital twinborn space; the method comprises the following steps: collecting construction monitoring data of a hydro-junction during a construction period, synchronously mapping the construction monitoring data to a multi-level digital twin space for level simulation, and identifying a first type of safety events; and when the first type of security events exist, carrying out influence range tracing and risk conduction analysis, and generating a structure security assessment conclusion. According to the invention, the technical problem of insufficient evaluation comprehensiveness and accuracy caused by the fact that dominant safety event identification and hidden risk mining are difficult to consider in the construction period structure safety evaluation of the hydro-junction in the prior art is solved, and accurate monitoring and targeted risk research and judgment of the construction period structure safety are realized; and the technical effect of improving the comprehensiveness and accuracy of structure safety evaluation in the construction period is achieved.

The invention relates to the technical field of intelligent logistics and operation planning optimization, and discloses an import and export multimodal transport intelligent stowage service method based on a hybrid planning algorithm, which comprises the following steps: establishing an intermodal transport node operation impact database and an intermodal transport network diagram, and defining a node stacking operation state set; according to the force transmission attribute of the corner column of the container, the discrete stacking hierarchy is mapped into vertical pre-pressure, and the node working condition inherent frequency of the container-cargo combination is calculated through a pre-pressure and rigidity correlation model; in combination with node pulse dominant frequency data, constructing a response gain index including resonance interval intensity and parameter fluctuation sensitivity; and establishing a multimodal transport stowage optimization model, bringing the index into a target function, and carrying out collaborative solution on a cargo loading layout, a transport link and a node stacking level. Resonance risks caused by discrete stacking and lateral impact coupling can be effectively recognized and avoided, and a stowage scheme with high structural safety is output.

The invention relates to the technical field of building structure safety monitoring, in particular to a stress deformation monitoring method and system for a rib truss floor support plate. The method comprises the following steps: establishing a digital twinborn model, mapping sensor data to grid nodes on a plate surface, calculating a local curvature, and ensuring data reliability through temperature compensation and confidence interval verification; an abnormal sensitivity index ASI is constructed based on multi-modal data, strain, displacement, frequency and curvature deviation are fused and dynamically weighted, and an abnormal area is positioned in combination with spatial clustering; the ASI evolution trend is analyzed through sliding window regression, slope and intercept parameters are extracted, and a health evolution index HEI is generated to achieve four-level health grading early warning; and establishing an abnormal dynamic model to simulate a local abnormal propagation path, predicting the residual life and the health risk index, and guiding a maintenance decision. According to the invention, monitoring-early warning-decision closed-loop management is realized.

The invention provides a dynamic layout optimization method for an equipment area of a rail transit station, and the method comprises the steps: collecting the real-time state data of a wall correlation structure of a rail-mounted area, the real-time dynamic data and real-time static data of the equipment area, and the historical working condition data of the rail transit station, and constructing a three-dimensional digital twinborn model through employing the data. And constructing an optimization constraint parameter library containing structural security, function and efficiency dimensions based on the real-time state data. And dynamically adjusting a multi-target optimization weight in combination with real-time data, and generating a target candidate layout scheme by adopting an optimization algorithm. And importing the target candidate layout scheme into a three-dimensional digital twinborn model, carrying out simulation verification in combination with historical working conditions, and generating simulation verification data. And performing comprehensive performance evaluation on the target candidate layout scheme based on the simulation verification data, and determining a target layout scheme. Dynamic adaptation of the equipment area layout scheme, the structure real-time state and the operation requirement is achieved, the safety and the comprehensive efficiency of the layout scheme are improved, and reliable operation of the scheme is ensured.

The invention relates to the technical field of building engineering prefabricated part construction, in particular to a prefabricated part assembling precision regulation and control method and system based on three-dimensional scanning, and the system comprises an assembling regulation and control center, an assembling pretreatment module, a standard building module, an assembling analysis module, a regulation and control execution module, a recording and tracing module and a rear-end response module. According to the method, establishment of the global coordinate system is a basis for achieving data unification of multiple devices, a unified standard and reference frame is provided for follow-up splicing precision control, deviation can be found and corrected in time by further monitoring and regulating the splicing precision of the prefabricated parts in real time, it is ensured that the mounting positions and sizes of the parts meet the design requirements, and the production efficiency is improved. And the structural safety and stability of the building are improved.

The invention belongs to the technical field of building vibration isolation, and particularly relates to a vibration isolation construction method for an upper building of a subway tunnel. The method comprises the following steps that the form and size of a building foundation and the relative position of the building foundation and a tunnel are surveyed; according to the obtained vibration data, the vibration response characteristics of the building are analyzed, the main vibration frequency range and the vibration transmission path are determined, the influence degree of the existing vibration level on the safety of personnel, equipment and structures in the building is evaluated, and a targeted vibration isolation scheme is formulated according to the analysis and evaluation result; according to the formulated vibration isolation scheme, appropriate vibration isolation materials and equipment are purchased; a vibration isolation device is installed between the building foundation and the structure; after the vibration isolation device is installed, micro-vibration actual measurement is conducted on the building again, vibration data before and after the vibration isolation device is installed are compared, whether the vibration isolation effect reaches an expected target or not is evaluated, and if the vibration isolation effect is not ideal, reasons are analyzed, and a vibration isolation scheme is adjusted and optimized till the satisfactory vibration isolation effect is achieved. The invention provides a vibration isolation construction method for an upper building of a subway tunnel.

The invention provides a park emergency navigation edge cooperation system and method based on building structure situation awareness, and relates to the technical field of path planning. The safety situation of the building structure is quantified for the first time and serves as a core optimization target which is the same as the passing time to be fused into path planning, personnel are prevented from being guided to a high-risk area of the structure fundamentally, and the essential safety of evacuation is remarkably improved. By exchanging decision factors among edge nodes and executing distributed multi-target planning, cross-regional path real-time collaboration under centerless scheduling is realized, coordination of a global path network in safety and efficiency is guaranteed, and robustness and autonomous decision ability of a system when a local network fails are improved.

The invention discloses a component horizontal displacement monitoring device and monitoring method, and relates to the technical field of building structure monitoring, the component horizontal displacement monitoring device comprises a laser displacement sensor assembly, an acceleration sensor, a data processing module, a communication module and a power supply module; wherein the laser displacement sensor assembly is installed at the top of a component and used for measuring the linear distance between a point to be measured and a reference point, the acceleration sensor is connected with the top of the component and used for measuring a double-axis inclination angle, and the data processing module is electrically connected with the laser displacement sensor assembly and the acceleration sensor. Based on the fusion of the geometric triangulation principle and the inertial sensing technology, the precise calculation of the horizontal displacement of the top of the component is realized through the cooperative work of the laser displacement sensor and the acceleration sensor. The device has the advantages of high precision, real-time monitoring, strong anti-interference capability, convenient installation and the like, is suitable for health monitoring of stand column structures such as buildings and bridges, and can effectively improve the safety early warning capability of the structures.

The invention discloses an automatic site selection method and system for a mountain fan hoisting platform, and belongs to the technical field of new energy wind power generation engineering, and the method comprises the steps: obtaining original topographic data, and reconstructing the original topographic data into a digital elevation model with a spatial index; querying the digital elevation model by using a spatial index based on the structural security constraint parameters of the fan foundation, and determining an effective elevation search interval; discretizing a calculation area into grid units in an elevation interval, taking a core area as a seed point, and outputting binary grid data through a potential energy driving cost function and a heuristic search extension platform boundary; performing morphological correction on the binary raster data and calculating the total earthwork amount; and iteratively searching and optimizing a scheme with the minimum total earthwork volume in the elevation interval, and converting the scheme into vectorized engineering primitives to be output. On the premise that the safety of the foundation structure is ensured, the earthwork amount is globally optimal, and the method has the advantages of being high in automation degree, high in terrain adaptability and good in engineering practicability.

The invention belongs to the technical field of building construction, and particularly provides a device for cooling concrete coarse aggregate by using cooling water, which comprises an aggregate storage bin, a temperature sensor, a weight sensor and a control unit, the top of the aggregate storage bin is provided with a water inlet and a feed inlet, the bottom of the aggregate storage bin is communicated with a water collecting device, and a water filter screen and a baffle are mounted in the aggregate storage bin; temperature sensors are mounted in the water inlet, the feed port and the water collecting device, weight sensors are mounted on the baffle and in the water collecting device, and the control unit comprises a heat exchange kinetic model and a water content calculation model. The concrete aggregate cooling device can conveniently cool concrete aggregate, can measure aggregate delivery temperature and moisture content data, realizes conversion from passive cooling to predictive intelligent control, effectively controls concrete mold entering temperature, reduces cracks caused by hydration heat, and improves mass concrete construction quality and structural safety. The invention also provides an operation method of the device for cooling the concrete coarse aggregate by using the cooling water.