182 results about "Strain distribution" patented technology

The invention discloses a welding deformation prediction system based on simulation analysis, and relates to the technical field of welding deformation prediction.The welding deformation prediction system comprises the steps that a micro-area unit grid is constructed by obtaining a geometric model of a to-be-welded structure, material heterogeneous distribution and welding path information; based on the grid and material characteristics, establishing a local nonlinear thermal-mechanical coupling simulation model; inputting heat source parameters, calculating an instantaneous temperature field, and constructing a stress evolution function in combination with path change; further deducing initial strain distribution, and generating a local deformation estimation map; error inversion is executed by comparing with historical experimental data, heat source and material parameters are corrected, and a simulation model is updated; and finally, outputting a welding deformation prediction map, and identifying a deformation sensitive region in the microstructure. The method has the high-precision prediction capability and the self-adaptive correction characteristic, and is suitable for deformation control and process optimization of the micro-scale welding structure.

The invention discloses a distributed OFDR sensing signal demodulation method and system based on local ridge line tracking, relates to the technical field of optical fiber sensing, and is used for solving the problem that a traditional cross-correlation algorithm is difficult to consider robustness and real-time performance at the same time. The method comprises the following steps: respectively processing a reference beat frequency signal of a sensing optical fiber to be measured in a strain-free state and a measurement beat frequency signal of the sensing optical fiber to be measured in a strain state to obtain a reference complex Rayleigh scattering signal and a measurement complex Rayleigh scattering signal containing a plurality of sensing positions along the optical fiber; calculating a cross-correlation function based on the two signals; stacking the cross-correlation functions corresponding to all sensing positions along a distance domain, and constructing a two-dimensional cross-correlation thermodynamic diagram matrix; performing filtering processing and weighting processing on the two-dimensional cross-correlation thermodynamic diagram matrix to obtain an optimal frequency drift distance; and demodulating based on the optimal frequency drift amount to obtain strain distributed along the to-be-measured sensing optical fiber. According to the invention, high-robustness and rapid demodulation of the signal in an application scene with extremely high real-time requirement can be realized.

The invention discloses a multispectral image and LiDAR fusion method suitable for dam body deformation monitoring, and belongs to the field of hydraulic engineering safety monitoring. According to the method, a dam body surface multispectral image and three-dimensional point cloud data are obtained through an unmanned aerial vehicle, and crack spectral features and structural joint geometric features are extracted after processing; constructing a CNN and finite element coupling model, inputting the surface displacement field after feature fusion into the finite element model, and simulating internal stress-strain distribution in combination with material parameters; and analyzing the space-time correlation between the surface displacement and the internal stress, optimizing parameters by combining measured data, and outputting a deformation correlation result. According to the invention, all-directional correlation monitoring of the surface and internal deformation of the dam body is realized, the limitation of a single data source is overcome, the monitoring precision and reliability are improved, and support is provided for safety assessment of the dam body.

The invention relates to the technical field of aluminum alloy forging, in particular to a forging process capable of reducing reverse forging coarse grains of 6061 aluminum alloy, which comprises the following steps: acquiring a 6061 aluminum alloy ingot, homogenizing and annealing the 6061 aluminum alloy ingot at 480-520 DEG C for 12-16 hours, cooling to room temperature by water, performing ultrasonic flaw detection, performing turning surface treatment, and alternately forging and pressing in three directions, thereby obtaining the 6061 aluminum alloy. The method comprises the following steps: placing a fine-grain 6061 aluminum alloy forge piece in a graded heating furnace, completing sub-dynamic recrystallization, applying directional pressure stress of 50-80MPa to the 6061 aluminum alloy forge piece, analyzing grain boundary characteristic distribution by adopting an electron back scattering diffraction technology, and obtaining the grain boundary optimized 6061 aluminum alloy forge piece with a discontinuous coarse-grain structure through laser shock strengthening and stress relief annealing. According to the method, the problems that reverse forging coarse grains are caused by uneven strain distribution during forging and pressing, and fine grains and high-density nanoprecipitation cannot be effectively obtained and a grain boundary structure cannot be optimized due to the fact that follow-up forging, heat treatment and stress treatment parameters are difficult to accurately control can be solved.

This invention provides a method and system for monitoring surrounding rock deformation in underground coal mines based on three-dimensional point clouds, relating to the field of coal mine safety monitoring. The invention includes the following steps: installing a reference target in the monitoring area and collecting point cloud data; preprocessing the point cloud data, performing coarse registration using the reference target and fine registration using the iterative nearest point algorithm, and generating a triangular mesh model using the Poisson surface reconstruction algorithm; parameterizing the triangular mesh model of the monitoring area into a two-dimensional analysis mesh, calculating the three-dimensional displacement vector of each node, and establishing a displacement field matrix; calculating the displacement gradient tensor based on the displacement vector, deriving the Green-Lagrange strain tensor, and obtaining the full-field strain distribution; recording the strain value of each mesh node, and determining whether an instability warning is triggered based on the relationship between the strain value and the warning threshold; this method can achieve high-precision monitoring of surrounding rock deformation in underground coal mines.

The invention relates to the technical field of bridge load tests, and provides a bridge load test crack increment change observation method and system, and the method comprises the steps: collecting prestressing tendon circumferential strain distribution data and dual-wavelength strain response data; calculating an interface bonding stiffness change parameter; pre-stress modulation effect compensation and polar coordinate system conversion are carried out on the strain response data and the rigidity change parameters, and micro-crack characteristic signals are obtained; load data and beam group arrangement parameters are collected, and a micro-crack propagation prediction model is established in combination with the interface bonding stiffness change parameters; inputting the micro-crack characteristic signal into a micro-crack propagation prediction model, and outputting a micro-crack development trend prediction result; and adjusting sampling parameters of a dual-wavelength time division multiplexing algorithm and characteristic extraction parameters of prestress modulation effect compensation according to a micro-crack development trend prediction result. According to the invention, the precision of observing the increment change of the micro-crack in the bridge load test is improved, and the automatic monitoring and prediction of the micro-crack of the prestressed concrete bridge are realized.

The invention discloses an underwater intelligent cable spatial form reconstruction system based on fusion of fiber bragg grating sensing and underwater acoustic positioning, and belongs to the technical field of underwater measurement and sensing. A plurality of fiber bragg grating sensors are inscribed on a three-core fiber in the intelligent cable of the system along the length direction to measure multi-point strain data along the length direction. According to the strain distribution, the bending curvature and the torsion of each measuring point are calculated, a continuous curvature and torsion function is constructed, the tangent vector, the normal vector and the sub-normal vector of each point of the cable are solved in combination with a Freen-Serret algorithm, and the tangent vector is integrated to obtain the space curve form of the cable. And determining the absolute position of the cable terminal in the three-dimensional space according to the acoustic ranging result. And realizing spatial form and attitude recognition of the whole underwater cable through constraint fusion of a curve reconstruction result and an end point position. According to the system, an inertial measurement unit is arranged on a cable to obtain local attitude information, so that the accuracy and the stability of curve reconstruction are improved. The method can be widely applied to space state monitoring of underwater long cable operation.

The invention relates to the technical field of composite armored cables, and discloses an intelligent sensing type photoelectric composite armored cable for deep-sea mining equipment, which comprises a cable core formed by twisting a plurality of power cable core conductors, an optical fiber communication unit, a medium conveying pipeline and an intelligent sensing unit, and an outer coating layer, tin-plated annealed copper wires and high-strength copper foil wires are arranged in a conductor of the power cable core, an insulation shielding layer is wrapped outside the conductor, the intelligent sensing unit integrates a plurality of optical fibers and optical fiber grating sensors, a loose structure is arranged outside the intelligent sensing unit, one intelligent sensing unit is used for monitoring strain distribution, the other intelligent sensing unit is used for monitoring temperature distribution, and other redundant optical fibers are used as redundant backups. A certain length of grid region interval is preset, distributed measurement along the length of the cable is realized, a sensing optical fiber in the intelligent sensing unit is connected to an optical fiber demodulator of a deck control room, a software system displays strain, temperature, vibration and form data of each point of the cable in real time, an alarm threshold value is set, and the structure is highly integrated and can adapt to a deepwater environment.

The invention provides a highway bridge bearing capacity calculation method and system, and relates to the technical field of bearing capacity calculation, and the method comprises the steps: obtaining basic parameters of a target highway bridge; performing model construction according to the basic parameters to obtain a bridge three-dimensional mechanical model; carrying out load mode analysis according to the bridge three-dimensional mechanical model, and carrying out space distribution on a dead load standard value and a live load dynamic effect based on the number of lanes and a load action area to obtain a total load value; stress field solving is conducted according to the total load value and the bridge three-dimensional mechanical model, and stress-strain distribution data are obtained by calculating stress-strain distribution of the main beam midspan section and the pier beam connection area section; calculating the ultimate bearing capacity according to the stress-strain distribution data, and evaluating the bearing capacity based on the relationship between the allowable stress and the maximum stress of the material to obtain the ultimate bearing capacity value of the bridge; and correcting the ultimate bearing capacity value of the bridge based on the service life and the current damage degree to obtain a highway bridge bearing capacity evaluation result.

The invention provides a concrete normal section reinforcement design method and system, electronic equipment and a storage medium. The method comprises the following steps: establishing a section stress model containing multi-layer reinforcement strain distribution based on plane section assumption; the stress state of the whole process of the section from axle center compression to axle center tension is simulated by setting strain proportion parameters of the strain of the outermost reinforcing steel bar on the tension side and the limit pressure strain of the concrete; aiming at a plurality of set strain state control points, calculating stress of each steel bar layer position, contribution of the stress to axial force and bending moment and contribution of the stress to a concrete compression area; and based on the section static balance condition, the optimal reinforcement area meeting the design load requirement is determined through iterative calculation, and the configuration constraint of multiple layers of steel bars is considered in the iterative calculation. The method overcomes the defects that a traditional method overestimates the effect of the pressed steel bars and ignores the strain difference of multiple layers of steel bars, and the accuracy and safety of reinforcement design of high-performance concrete structures such as nuclear islands are remarkably improved.

The invention discloses a full-stage creep life prediction method coupling residual stress and creep damage, and belongs to the technical field of creep life prediction. The prediction method comprises the steps that a welding workpiece finite element model is established, welding process simulation is conducted, and welding residual stress distribution data are obtained; a heat treatment process creep constitutive model is established, postweld heat treatment stress release damage simulation is conducted on the welded workpiece on the basis of the welding residual stress distribution data, and stress and strain distribution data obtained after heat treatment serve as historical parameters of subsequent service of the welded workpiece; creep damage simulation is conducted on the service process of the welded workpiece on the basis of the stress and strain distribution data obtained after heat treatment, and creep damage in the service process is obtained; and setting a judgment basis for creep failure of the welding workpiece, and determining the creep life of the welding workpiece. According to the invention, physical continuity of internal state evolution of the material in the process from welding manufacturing to service can be realized, and creep damage in the service process can be accurately simulated.

The invention relates to the technical field of tunnel crack monitoring, in particular to a tunnel crack multi-dimensional monitoring system and method based on a multi-measuring-line distributed optical cable, and the system comprises a plurality of working optical cables, a temperature compensation optical cable, a data collection module and a data analysis module. A plurality of working optical cables and temperature compensation optical cables are arranged on the two sides of the tunnel structural joint to be monitored according to a set arrangement mode; a distributed optical fiber demodulator is adopted to sequentially connect and drive all the working optical cables and the temperature compensation optical cables to perform synchronous acquisition and calculation through an optical fiber switcher; according to the method, the longitudinal opening amount, the vertical settlement amount and the transverse slab staggering amount are calculated based on the obtained mechanical strain distribution data, the health state of the structural joint can be evaluated more comprehensively and accurately based on the calculated multi-dimensional displacement amount, and a richer and more reliable basis is provided for safety early warning and maintenance decision making of a tunnel structure.

The invention belongs to the technical field of pipeline safety monitoring, and provides a buried pipeline deformation monitoring method, system, equipment and medium, and the method comprises the following steps: orthogonally arranging weak fiber grating strain sensing optical cables on the surface of a buried pipeline to be monitored to form a sensing network; wavelength drift data of each grating are collected in real time through a demodulator, noise is eliminated through preprocessing, temperature interference is eliminated, and a net strain drift amount is obtained; calculating strain distribution on the surface of the pipeline, obtaining a deflection curve representing deformation through a mechanical inversion model, comparing with a preset threshold value, and triggering an alarm if the deflection curve exceeds the limit; according to the method, the distributed weak fiber grating sensing network is orthogonally arranged, the temperature compensation technology is combined, a quantitative mechanical model based on the elastic foundation beam theory and grating address coding and pipeline space position mapping are matched, and the purposes of buried pipeline non-blind area micro-strain continuous monitoring, precise deformation inversion and rapid anomaly positioning are achieved.

The invention relates to the technical field of strain measurement, in particular to a three-dimensional full-field strain measurement method and system based on multi-view collaboration, and the method comprises the steps: constructing a sparse topology skeleton model of a measured target under a global coordinate system, and building a bidirectional projection mapping relation between the global situation and each local situation; the method comprises the following steps: synchronously acquiring a time sequence texture feature image of a measured target, calculating a luminosity geometric coupling confidence tensor of each pixel point and extracting an initial texture feature field under each view angle; utilizing a skeleton model to guide the initial texture feature field to perform limited local matching, and resolving to obtain a local independent displacement field and residual energy distribution of each view angle; performing multi-view weighted fusion based on a bidirectional projection mapping relation, and reconstructing a global three-dimensional displacement field; and performing differential calculation on the global three-dimensional displacement field to obtain a deformation gradient tensor and generate three-dimensional full-field strain distribution. According to the method, gradient mutation caused by view field splicing errors can be effectively inhibited, and physically real and full-field continuous three-dimensional strain distribution is obtained.

The invention relates to the technical field of battery detection, and discloses a battery detection method and system based on CT imaging and multi-physical field simulation, and the method comprises the steps: obtaining the X-ray tomography data of a to-be-detected lithium ion battery in an initial state, building a battery three-dimensional geometric model based on the tomography data and supplementary tomography data, the method comprises the following steps: acquiring dynamic image data of ultrasonic scanning of a to-be-tested lithium ion battery under a charge-discharge cycle or abuse test, constructing a COMSOL multi-physics field coupling simulation model based on a three-dimensional geometric model and change characteristics of the battery, solving the COMSOL multi-physics field coupling simulation model, determining lithium ion concentration distribution, net current density and strain distribution, and calculating the concentration of the to-be-tested lithium ion battery according to the concentration distribution, net current density and strain distribution of the to-be-tested lithium ion battery. A lithium ion concentration distribution diagram, a voltage-time relation diagram and a stress field cloud diagram are constructed, whether the lithium ion battery to be detected has defects or not is determined based on the lithium ion concentration distribution diagram, the voltage-time relation diagram and the stress field cloud diagram, and the reliability of battery detection is ensured.

This invention discloses a sheet metal forming method and system based on bending springback compensation. The invention relates to the technical field of sheet metal forming. During the execution of a time-series machining path, the bending region of the sheet metal part in the current pass is acquired, and the corresponding local forming force and regional strain distribution information are marked. This information is further input into a preset mechanical-geometric coupling space to determine the local springback content of the current bending pass, improving the accuracy of the local springback content of the current bending pass. Using the target form and position tolerance of the final sheet metal part as the boundary constraint, the bending springback compensation content is decoupled and decomposed into angular springback content and linear offset content. The sensitivity matrix of subsequent unexecuted passes is acquired, and dynamic deduction is performed in combination with the angular springback content and linear offset content to allocate the residual compensation amount of the current pass to subsequent passes, improving the accuracy of the forming compensation content of subsequent passes.

The invention discloses a controlled rolling and controlled cooling process for improving ultralow-temperature impact toughness of high building steel and a structure optimization method, and relates to the technical field of alloy preparation. Comprising the following steps: preparing a high-rise building steel billet, and heating the billet to a recrystallization temperature interval; the heated steel billet is always in a coupling field of an electromagnetic field and an ultrasonic field in the whole rolling process before rolling, during rolling and after rolling; the pre-finished product steel is sequentially subjected to ultralow-temperature aging treatment and gradient tempering treatment; the macroscopic deformation resistance is reduced through the electromagnetic field, the microcosmic strain distribution is refined through the ultrasonic waves, and the grain refinement limit is broken through synergistically.

The application discloses a finite element simulation method suitable for multi-step electromagnetic forming effect evaluation and a related device, relates to the technical field of metal plate electromagnetic incremental forming and finite element simulation, and the method comprises the following steps: constructing an initial constitutive model of a to-be-formed plate based on a first uniaxial tensile test; performing finite element simulation on a multi-step electromagnetic forming process of the to-be-formed plate, and recording stress and strain distribution and strain rate distribution of a deformation area; performing a second uniaxial tensile test at each stage of the multi-step electromagnetic forming process according to the strain rate distribution, and integrating hardening models at all stages into a constitutive model for characterizing material whole-process forming; based on the constitutive model, re-performing multi-step electromagnetic forming finite element simulation, outputting forming effect evaluation parameters at each stage, and adjusting process parameters according to the forming effect evaluation parameters. The application can improve the accuracy of forming effect evaluation.

The invention provides an insulation state prediction method, device and equipment for an OPGW (Optical Fiber Composite Overhead Ground Wire) section insulation line, and relates to the technical field of power grid monitoring. The method comprises the following steps: acquiring accumulated temperature distribution data and accumulated strain distribution data of a target insulation section in the OPGW section insulation line, and acquiring accumulated environment data of an area where the target insulation section is located; inputting the accumulated temperature distribution data and the accumulated strain distribution data into a preset insulation state prediction model to obtain an initial insulation state failure probability of the target insulation section; inputting the accumulated temperature distribution data, the accumulated strain distribution data and the accumulated environment data into a preset insulation failure scene detection model, and determining a target insulation failure scene corresponding to the target insulation section; and correcting the initial insulation state failure probability according to the target insulation failure scene to obtain a target insulation state failure probability of the target insulation section. According to the invention, the insulation state of the OPGW section insulation line can be accurately predicted in advance.

The invention discloses a pre-stressed anchor cable recovery prediction method. The method comprises the following steps: pre-burying a distributed optical fiber sensor network and a piezoelectric ceramic sensor array in an anchor cable grouting body; acquiring strain distribution data and temperature data of the anchor cable in real time through the distributed optical fiber sensor; the piezoelectric ceramic sensor array emits ultrasonic waves and receives reflection signals, and the wave velocity, energy attenuation data, spectrum characteristic data and acoustic emission energy data of the grouting body are obtained; based on the strain distribution data, the temperature data, the wave velocity, the energy attenuation data, the spectrum characteristic data and the acoustic emission energy data, calculating the grouting solidification degree and the anchor cable health index by using an AI model; when the curing degree is greater than or equal to 95% and the health index is greater than or equal to 0.8, judging that the anchor cable reaches a recoverable state; according to the method, the recoverable state of the anchor cable is accurately judged, and supporting failure caused by premature recovery or resource waste caused by delayed recovery are effectively avoided.

The invention relates to the technical field of temperature compensation, in particular to an adaptive temperature compensation method based on a hemispherical harmonic oscillator, which comprises the following steps: acquiring node signals to construct a temperature sequence, extracting strain distribution to form a chain path, generating a compensation channel and outputting a temperature compensation scheme. According to the method, a time sequence interference signal sequence oriented to node three-dimensional structure distribution is constructed, a strain dominant area is identified based on interference phase and reflectivity change difference, a chain path is constructed by fusing polar coordinate positions and a node communication relation, and a low-interference path segment in signal propagation is dynamically extracted. Continuous phase differences responded by nodes are obtained and sorted to generate a channel set, multi-path driving instruction generation is achieved in combination with mapping of interference characteristics, multi-point dynamic sensing and signal reconstruction can be achieved in a three-dimensional heat distribution field, meanwhile, a compensation path is guided to complete chained regulation and control for the heat disturbance direction and the stress gradient, and the stability of the system is improved. And the decoupling capability and the response precision of temperature compensation in an unsteady-state thermal field are improved.

The invention discloses an optical fiber laying spacing determination method for monitoring crack damage of a fan blade. The method comprises the following steps: firstly, establishing a fluid-solid coupling simulation analysis model of the fan blade, calculating a wind pressure load in a working process of the blade in a flow field, coupling the wind pressure load to a structure field, establishing a blade model with crack damage in the structure field, and establishing an optical fiber path on the blade model; obtaining strain distribution of the crack blade in a working state and strain data on an optical fiber path through finite element analysis; secondly, changing the crack length of the model and the distance between the crack tip and the optical fiber path, performing finite element simulation for multiple times, extracting strain data, and analyzing the rule of the influence of different crack lengths and different optical fiber paths on the optical fiber strain; and finally, establishing a relation model among the optical fiber strain peak value, the crack length and the optical fiber laying spacing, and further determining the optimal optical fiber laying spacing by using the relation model. The relation model established by the invention provides theoretical support for determining the laying spacing of the optical fibers on the fan blade, and is beneficial to optimizing the cost and the operation and maintenance efficiency in practice.

A rocket recovery landing leg static test device comprises a rocket body boundary simulation tool, a force loading system tool, a ground simulation device, a test bed, a data acquisition system and a hydraulic system, the ground simulation device is arranged in the test bed, the force loading system tool is arranged on the ground simulation device and connected with the test bed, and the data acquisition system is connected with the hydraulic system. The rocket body boundary simulation tool is arranged on the test bed, a normal-temperature strain gauge is pasted on the rocket body boundary simulation tool as a test piece, the data acquisition system is connected with the normal-temperature strain gauge, the hydraulic system is connected with the data acquisition system, and the data acquisition system acquires and monitors pressure and strain data. The basic stress condition of the rocket recovery device during landing in various terrains can be simulated, and the bearing capacity of the recovery device and the strain distribution condition of each part under the load effect can be obtained.

Method for monitoring the structural health of a nickel-based superalloy part, comprising the steps of: estimating (S101) a local strain distribution ε, temperature T, and strain rate within the part; estimating (S102) a local dislocation density ρ within the part based on the local strain distribution ε, temperature T, and strain rate; and determining (S103) the local presence of a structural anomaly when the local dislocation density ρ is outside a predetermined range of values. Fig. 1.

The present invention provides an information processing device, a design support device, and an information processing method that support the design of concrete structures. [Solution] An information processing device 2 according to one aspect of the present disclosure includes an estimation unit 102 that estimates at least one of the strain distribution and stress distribution in a cross-section of a concrete structure whose volume change is constrained by a constraint body and which has a cross-section without an axis of symmetry, based on the age of the members used in the concrete structure and / or the amount of shrinkage over time due to the free strain of the concrete structure.

The invention relates to a surrounding rock loose area monitoring method and system based on optical fiber anchor rod strain, and the method comprises the steps: carrying out the temperature compensation of strain distribution information according to the temperature distribution information, and obtaining the real anchor rod strain distribution data; analyzing axial force distribution and shearing force distribution of the anchor rod according to the strain distribution data of the anchor rod, and constructing a section shearing stress distribution model; according to the shear stress distribution model of the anchor rod, analyzing the strain gradient distribution along the axial direction of the anchor rod; according to the axial force distribution and the strain gradient distribution, a loose area boundary identification model is constructed, the strain abrupt change point position of the anchor rod is determined, and the interface of the surrounding rock loose area and the elastic area is represented through the strain abrupt change point; and connecting the strain mutation points of the anchor rods to form a boundary contour line of the surrounding rock loosening area, and measuring the range of the surrounding rock loosening area. According to the scheme provided by the invention, high-precision positioning and dynamic tracking of the surrounding rock loose area boundary and dynamic optimization of tunnel supporting structure design can be realized.

The invention belongs to the technical field of basement template management, and particularly relates to a basement template splicing and node processing management system which comprises a multi-source heterogeneous sensing fusion module, a self-adaptive sensor network optimization unit, a multi-physical field data fusion engine and a digital twinning-based closed-loop control unit. The multi-source heterogeneous sensing fusion module integrates various sensors, can comprehensively collect the friction force, node strain distribution and stratum three-dimensional structure data of a splicing interface in real time, and provides accurate basic data for subsequent analysis and control; the self-adaptive sensor network optimization unit dynamically adjusts the layout of sensors based on a topological optimization algorithm, so that redundant sensors are reduced, meanwhile, automatic fault reconstruction is realized by adopting a self-repairing sensor array, the reliability and the data acquisition efficiency of the sensor network are improved on the basis, and the cost of the sensor network is reduced.

Provided is a grain-oriented magnetic steel sheet having both low iron loss and low magnetostriction. The grain-oriented magnetic steel sheet has a heat-strained region extending in a direction transverse to a rolling direction, and has closed magnetic domains in the heat-strained region. The heat-strained region has maximum points of tensile strain on both sides of the closed magnetic domains in the rolling direction. In a strain distribution in the rolling direction of the heat-strained region, the strain on both sides of the closed magnetic domains is a tensile strain greater than the strain at the center between the maximum points.

This underwater intelligent cable system, equipped with morphological perception and remotely operated capabilities, belongs to the fields of underwater robotics, marine inspection, and engineering measurement and control. In this system, one end of the intelligent cable is fixed to a mother ship, while the other end connects to an ROV (Remotely Operated Vehicle) for flexible deployment via towing. A three-core fiber optic grating sensor is integrated within the cable to acquire strain distribution along its length. Multiple sealed measurement boxes are deployed along the cable to collect environmental data and transmit it back to the mother ship. The mother ship is equipped with an FBG demodulator and a data processing and storage system to calculate curvature or deflection based on strain and reconstruct the cable's three-dimensional morphology. To suppress long-distance integral drift, some measurement boxes integrate IMU (Integrated Mutor Unit) outputs attitude data and calculates tangent vectors, which are then fused with FBG continuous curvature constraints for optimized filtering. Environmental measurements are mapped to corresponding spatial coordinates on the morphological curve according to the calibrated positions of each node along the cable length, forming a spatial registration dataset that is visualized, stored, and queried, improving the efficiency and accuracy of large-scale underwater detection.