132 results about "Damage analysis" patented technology

The invention discloses a fan blade state monitoring method based on multi-sensor fusion, relates to the technical field of wind power, and is suitable for wind energy prime mover equipment manufacturing and blade state monitoring technologies of onshore and offshore wind generating sets. The method comprises the following steps: acquiring operation data, a vibration signal, an acoustic signal and a pulse signal of a fan; the current working condition state of the fan is recognized, common-mode fault verification, local damage positioning and transient stress damage analysis are carried out on the vibration signals and the acoustic signals, and a fault analysis result and a first damage analysis result are obtained; performing phase-locked amplification analysis on the vibration signal and the acoustic signal through active excitation to obtain a second damage analysis result; and finally, a comprehensive state monitoring report of the fan blade is generated, so that the problems of difficulty in identification of weak damage and high false alarm rate of blades of land and offshore wind generating sets in wind energy prime mover equipment manufacturing under a non-stable working condition are solved, and the equipment operation and maintenance intelligent level in the wind energy prime mover equipment manufacturing industry is effectively improved.

The invention belongs to the technical field of fan damage detection, and particularly discloses an unmanned aerial vehicle-based offshore fan blade damage detection system, which comprises a detection partition determination module, an unmanned aerial vehicle acquisition control module, a damage image acquisition module, a fan damage analysis module and a fan damage feedback terminal. According to the method, the damage point and the blade area are positioned through preliminary cruising of the unmanned aerial vehicle, and the fan array is divided, so that the dilemma that a traditional detection mode is easily interfered in an offshore high-wind-speed environment is changed, and the complicated offshore environment can be flexibly coped with; meanwhile, the shooting distance and the shooting time point of the unmanned aerial vehicle are adjusted by combining the space coordinates of the damage point, the real-time blade rotating speed and the real-time offshore wind condition to generate a shooting parameter instruction, so that the limitation and the monitoring dead angle limitation of traditional fixed-view-angle monitoring are broken through; and finally, crack analysis of different depth layers is carried out on the optical image and the ray image, so that the damage degree can be evaluated more comprehensively and accurately.

The invention relates to the technical field of reliability evaluation of a composite material structure, and particularly discloses an evaluation method for vibration damage mechanical properties of a composite material. The method comprises the following steps: firstly, clamping a composite material test piece on a special test clamp which can be stable and durable in a vibration environment, and carrying out parameter-controllable vibration excitation on a vibration table to simulate damage; then carrying out mechanical property test on the damaged test piece; and finally, based on the vibration data and the mechanical property data, establishing a vibration parameter-performance degradation correlation model by calculating the performance degradation rate, and performing quantitative evaluation on the vibration damage state of the composite material in combination with microscopic damage analysis. According to the invention, the problem that the vibration test and the performance evaluation process are separated and cannot be quantitatively associated in the prior art is solved, the integrated and quantitative analysis from damage simulation to state evaluation is realized, and the environment temperature influence factor is introduced; accurate data support can be provided for safety design and life prediction of the composite material structure in a specific vibration environment.

The invention discloses a maritime work steel plate intelligent cutting path planning method based on multi-objective optimization, and belongs to the field of maritime work steel plate intelligent cutting path planning, the method comprises the following steps: collecting cutting damage data of maritime work steel plates of different materials and thicknesses, constructing a process damage feature library, and combining internal damage analysis to perfect data dimensions, so as to obtain a process damage feature library; and finally establishing a damage prediction model by using a machine learning algorithm. A comprehensive objective function containing the material utilization rate, the cutting efficiency and damage avoidance is constructed, initial layout and path planning of parts are conducted, and cutting of the first part is executed after an initial cutting sequence and track are generated; by collecting damage data to establish a prediction model, constructing a comprehensive objective function to plan an initial path, optimizing a subsequent path in combination with a damage thermodynamic diagram, and establishing an adaptive rule base to adjust parameters, intelligent planning of a cutting path is realized, and the qualified rate of parts and the production efficiency are improved.

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 discloses a building material mechanical testing system based on multi-algorithm fusion, and belongs to the technical field of building material testing, and the system comprises an initial damage quantification module which is used for obtaining detection information of a tested material test piece before mechanical loading and generating a quantitative evaluation result; the loading and information acquisition module is used for applying a mechanical load to the tested material test piece with the generated quantitative evaluation result and acquiring a mechanical response signal and a microscopic state signal of the tested material test piece; the damage analysis module is used for calling a preset second data processing algorithm and analyzing and generating a dominant damage path; and the diagnosis and prediction module is used for integrating the associated data atlas and the dominant damage path information, generating a material performance diagnosis report and constructing a prediction model through a preset third data processing algorithm. According to the method, the initial damage of the tested material test piece is quantified, so that systematic deviation of a test result caused by neglecting the initial damage is corrected.

The invention relates to the technical field of surrounding rock damage analysis, in particular to a deep-buried tunnel circulating blasting excavation surrounding rock accumulated damage analysis method and a deep-buried tunnel circulating blasting excavation surrounding rock accumulated damage analysis system. Further determining the effect of blasting and ground stress on surrounding rock damage during blasting excavation of the deep tunnel; under the action of blasting and ground stress, the influence of single-cycle blasting excavation and multi-cycle blasting excavation on surrounding rock damage is considered, and the cumulative damage variable of the rock mass is calculated; and evaluating the stable state of the surrounding rock according to the calculated accumulated damage variable, and optimizing a blasting design scheme and a support time sequence. According to the method, on the basis of considering the comprehensive action of blasting and ground stress, accurate calculation of the accumulated damage of the surrounding rock during deep-buried tunnel circulating blasting excavation is realized by analyzing the influence of single-circulation multi-section blast hole delayed blasting and multi-circulation blasting on the damage of the surrounding rock, so that a blasting design scheme and a support time sequence are optimized; and the safety of tunnel engineering is improved.

The invention discloses an urban agglomeration anti-seismic damage prediction method and system based on an unmanned aerial vehicle technology and a deep learning model. The method comprises the following steps: constructing a typical building multi-angle aerial image database and a building earthquake damage database under different load coupling effects; training an urban building group identification model based on the aerial photo database to identify the type, geometry and texture information of the building; constructing and training horizontal and vertical seismic oscillation amplification coefficient prediction models for correcting seismic oscillation intensities under different topographic conditions; a typical building earthquake damage prediction model is constructed and trained, and the building damage grade is predicted in combination with the corrected earthquake vibration intensity; and finally, realizing three-dimensional visualization of the damage condition of the urban building group through a damage grade imaging module. According to the method, the problems of inaccurate urban building group modeling information, large earthquake damage analysis workload and low precision in the prior art are solved, and a scientific basis is provided for construction and evaluation of tough cities.

The invention discloses an optical fiber end-to-end coverage fault positioning system based on passive optical switch cascade, and relates to the related technical field of optical fiber communication fault detection, and the system comprises a mapping construction module which builds a mapping matrix of a switch state and an optical fiber segment based on a preset switch switching sequence; the first identification module is used for injecting probe pulses in different switching states, and inverting local time delay distortion of each section by using a time delay observation set to form a first type of structural characterization; the second identification module is used for collecting the amplitude and phase sequence of the end-to-end signal, calculating the statistical distance between the end-to-end signal and the reference and projecting the statistical distance to the segment-level space to form a second type of structural representation; and the early warning module is used for carrying out damage analysis under multi-source observation and reporting fault abnormity. The technical problem that in the prior art, multiple potential degradation sections in the whole end-to-end process cannot be subjected to synchronous fine fault sensing and positioning is solved, and the technical effects that the health condition of the optical fiber link is sensed in real time through the passive cascade switch network and the fault positioning accuracy is improved are achieved.

The invention discloses a small sample gear damage intelligent identification and evaluation system based on machine vision, and belongs to the technical field of gear damage evaluation. The system comprises a user interaction interface module, a damage type detection module, dynamic binding of damage types and subprograms, a multi-damage analysis module, a result visualization module and a gear parameter management module. A B / S framework is adopted in the platform, an interactive Web interface is developed based on a Streamline framework, and a machine vision algorithm and a damage analysis model are integrated at the rear end. The system aims to realize determination of a damage position, identification of a damage type and extraction of various damage characteristics by inputting a picture of a damaged gear under a small sample condition.

The invention relates to the technical field of salt rock damage analysis, and discloses a salt rock damage form reconstruction method and system based on acoustic emission parameter fusion, and the method comprises the steps: carrying out the damage state monitoring of a real salt rock sample set, obtaining a plurality of mark state feature groups, constructing a target damage index group, and obtaining a target damage index set; screening the plurality of marked state feature groups based on the target damage index group to obtain a plurality of target state feature groups, performing mechanical parameter detection on the to-be-evaluated salt rock sample to obtain a to-be-evaluated mechanical parameter group, acquiring a to-be-evaluated acoustic emission feature group based on the to-be-evaluated mechanical parameter group, generating a to-be-evaluated state feature group, and performing evaluation on the to-be-evaluated acoustic emission feature group. And querying the predicted storage duration in the plurality of target state feature group sets based on the to-be-evaluated state feature group. According to the method, accurate reconstruction of the rock salt damage state and reliable prediction of the life can be realized, and the accuracy of a damage evaluation result is improved.

This invention discloses a method and apparatus for impact damage analysis of an attitude control power system, relating to the field of attitude control power system technology. It addresses the problems of over- or under-testing in existing impact damage analysis methods, as well as high computational costs and low efficiency. The method includes: constructing a whole-machine impact response model of the target attitude control power system; using an explicit solver to determine the impact response of the whole-machine impact response model, obtaining the impact response results; identifying the target weak component based on the stress response of each component in the whole-machine impact response model; constructing an impact damage model of the target weak component; using an explicit solver to determine the impact damage of the impact damage model, obtaining the impact damage data of the target weak component. The impact damage analysis method for an attitude control power system provided by this invention can avoid over- or under-testing in the impact damage analysis of attitude control power systems and reduce computational costs.

The invention provides a coal body strain synchronous in-situ monitoring device and method based on true triaxial impact, and relates to the field of coal body dynamic testing and structural damage monitoring. Comprising a sample bearing module, an impact loading module, an internal fiber bragg grating dynamic strain monitoring module, a surface strain gauge monitoring module, a synchronous data acquisition module, a microscopic crack detection module and a macroscopic failure analysis module, the impact loading module is used for applying a transient impact load with a set impact speed to the gas-solid coupling coal sample, and the internal fiber bragg grating dynamic strain monitoring module is embedded with at least one fiber bragg grating sensing grating point along three mutually orthogonal directions of the gas-solid coupling coal sample respectively. The damage evolution mechanism of the gas-solid coupling coal body under the high strain rate condition is disclosed, and a means is provided for risk analysis of the rock burst-coal and gas outburst hybrid power disaster.

The invention discloses an electric screw driver torque control method, which relates to the technical field of electric screw drivers, and comprises the following steps: acquiring a screw image of a target screw before tightening the target screw, and tracing to acquire screw feature information of the target screw; obtaining a torque interval of the electric screw driver, randomly generating a first torque, and carrying out damage analysis on the target screw to obtain first damage probability information; based on historical fastening data of the target screw and the target fastener, analyzing first screw damage saliency and first fastener looseness saliency of the first torque, and calculating first torque fitness in combination with the first damage probability information; and according to the first torque fitness, the first torque is adjusted and optimized, the optimal torque is obtained, and the electric screwdriver is controlled through the torque control module. The technical problem that in the prior art, when screws of different specifications are tightened, the torque control precision is low is solved, and the technical effect of improving torque precision control is achieved.

Systems and methods for natural disaster damage analysis. Aerial images are converted (710) into a set of property images. The property images are then clustered (720) using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts (730) damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored (740) in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

The application discloses a fan blade structure damage analysis method and device based on a submodel, and is used for solving the technical problem of low analysis efficiency of the existing fan blade structure damage and submodel. The method comprises the following steps: constructing a fan blade finite element model according to obtained fan blade design parameters; performing stress calculation on the fan blade finite element model, determining fluid load and Mises stress values at current time of Gaussian integral points of each blade unit in the fan blade finite element model; according to a comparison result between the fluid load, the Mises stress values at the current time of the Gaussian integral points of each blade unit and a preset stress threshold value, and the fan blade finite element model, dynamic construction of a target fine grid solid element submodel is completed, and structure damage analysis of the target fine grid solid element submodel is performed in combination with a phase field model and a Lagrange-cohesion model, and a target fan blade structure damage analysis result is generated.

The invention relates to the field of oil and gas well drilling and production, and discloses experimental equipment for simulating erosion corrosion of an oil and gas well at high temperature and high pressure and a use method thereof. The experimental equipment comprises an erosion corrosion fluid module, a corrosion fluid module, a reaction kettle and a damage analysis module. The erosion corrosion fluid module is used for manufacturing an erosion corrosion fluid material; the corrosive fluid module is used for manufacturing corrosive fluid materials. The reaction kettle is provided with a reaction chamber for mounting an experimental object, and the experimental object is a combined body comprising an oil pipe, a sleeve and a cement sheath; the experimental object and the reaction chamber act together to form a first chamber in the oil pipe and communicated with the erosion corrosion fluid module, a second chamber located between the oil pipe and the casing pipe and communicated with the erosion corrosion fluid module, and a third chamber located between the casing pipe and the cement sheath and communicated with the erosion corrosion fluid module. And the damage analysis module is used for analyzing the experimental object and obtaining an erosion-corrosion analysis result of the experimental object, so that the erosion-corrosion resistance test experiment of the material under the complex underground working condition is completed.

Systems and methods for natural disaster damage analysis. Aerial images are converted into a set of property images. The property images are then clustered using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

The present application belongs to the technical field of highway slope protection, and provides a highway slope flexible protection net safety state prediction method for highway construction, which comprises obtaining state characteristic data of the highway slope, highway compression characteristic data, state data of the flexible protection net and slope deep displacement data; a slope landslide probability analysis model is established according to the state characteristic data and the compression characteristic data, and a slope landslide comprehensive probability is generated; a state index is generated according to the protection net state data; a landslide impact estimation strength is generated according to the deep displacement data; then a damage analysis model is established in combination with the impact estimation strength, the landslide comprehensive probability and the state index, and a flexible protection net comprehensive damage probability is generated; the safety state of the protection net is predicted accordingly; the present application realizes quantitative evaluation of the damage probability of the flexible protection net by fusing the slope landslide risk, the protection net degradation and the landslide impact strength, and improves the accuracy and practicality of the safety state prediction.

The invention discloses a car insurance claim settlement method and system based on a multi-modal large model, and the method comprises the steps: collecting the multi-modal data of a historical car insurance claim settlement case, employing a large-scale pre-training image-text large model to carry out the multi-task joint training and field adaptation fine tuning, and achieving the joint semantic understanding of an accident record text and a vehicle damage picture; the method comprises the following steps of: analyzing VIN (Vehicle Identification Number), embedding structured information, introducing a part association graph as an external knowledge constraint, and completing efficient fine adjustment of a model by adopting a hierarchical parameter freezing and low-rank adaptation technology under the condition of a small number of samples; in the reasoning stage, a structured damage analysis report, a compensation amount predicted value and confidence evaluation are output, a damage area thermodynamic diagram is generated in combination with a gradient weighting class activation mapping technology, and a visual decision basis is provided. The technical problems that traditional artificial claim checking is low in efficiency, high in cost and large in result difference, and an existing AI technology is high in data threshold, poor in field adaptability and lack of interpretability are solved.

The invention discloses an ultra-low / ultra-low permeability reservoir blockage determination method based on a sidetrack coring technology. The method comprises the following steps that 1, a rock core sample at a preset position is obtained; 2, recording and numbering the positions of the rock core samples; 3, the permeability and porosity of the obtained rock core samples are measured respectively, the permeability and porosity damage degree of each rock core is calculated according to the original permeability and porosity of a reservoir, and the permeability damage and the horizontal distance from the rock core to a shaft and the porosity damage and the horizontal distance from the rock core to the shaft are calculated; and 4, determining the damage space distribution condition of the rock core sample according to the data of the permeability damage degree and the porosity damage degree obtained in the step 3, and completing the determination of the blockage position of the permeability reservoir. The invention belongs to the technical field of oilfield development and detection, and solves the problems that a reservoir damage analysis method in the prior art is relatively large in limitation, cannot accurately reflect the pore damage phenomenon of an ultra-low / ultra-low permeability reservoir, cannot directly carry out experimental analysis from the microscopic level of the reservoir, and is difficult to measure the damage degree of the pore level of the reservoir.

The application provides a kind of magnesium slag based filling body damage constitutive model construction method based on energy dissipation, and relates to filling body damage analysis technical field.The method first makes magnesium slag based filling body test piece under different magnesium slag powder grinding time conditions, and obtains the stress-strain curve of each test piece by test, analyzes the energy evolution curve of each test piece;Then the damage dissipation energy is introduced into the energy balance equation of filling body, and the damage variable related to damage dissipation energy is obtained;Then compare the damage constitutive model, construct the energy modified damage constitutive model of magnesium slag based filling body considering the compaction stage and residual strength;Finally, verify the effectiveness of the model.The energy modified damage constitutive model constructed by the application is reasonable and effective, which can well describe the damage evolution process of magnesium slag based filling body under uniaxial compression, realize quick and accurate magnesium slag based filling body damage analysis, and provide scientific reference for the safety of mine filling mining engineering.

This invention relates to the field of bridge structural safety inspection technology, and in particular to a bridge damage assessment method, system, and medium based on a visual segmentation model. The method includes: acquiring prior structural information and post-damage images of the bridge to be inspected; matching the image to be inspected generated based on the post-damage images with the prior structural information and a preset damage semantic knowledge base to generate multimodal prompts; inputting the fused multimodal prompts and the image to be inspected into a visual segmentation model with input parameters frozen, and adaptively iterating to obtain pixel-level segmentation masks for each damage candidate region; superimposing each pixel-level segmentation mask onto the image to be inspected, and inputting it along with the damage analysis prompt template into a visual language model to generate a structured damage assessment report. This invention utilizes the general segmentation capability of the visual segmentation model to achieve rapid and accurate pixel-level segmentation and recognition of sudden bridge damage, and automatically generates a structured damage assessment report.

The invention relates to the technical field of electric digital data processing, and discloses a combined bridge interface damage time-varying analysis method and system, and the method comprises the steps: obtaining a slip sequence and temperature gradient data of a joint interface; extracting a high-frequency dynamic response signal through dynamic residual filtering; calculating a displacement compensation amount based on the thermal stress characteristic matrix, and eliminating the compensation amount from the dynamic response signal to determine a net slip characteristic value; mapping the slip space distribution difference into a topological feature vector by using an interface stress distribution mapping operator; analyzing the unsteady oscillation characteristics of the dynamic response signal, determining the cementation failure probability, and outputting a damage analysis index in combination with a topological feature vector, so that accurate decoupling of environment thermally induced displacement interference and a structure damage signal is realized, the influence of non-damage factors is eliminated, and a rigidity degradation critical point is captured by utilizing an interface topological evolution mechanism; the early interface void recognition reliability is improved, and bridge safety evaluation is supported.

The invention relates to the technical field of intelligent analysis, in particular to a voiceprint signal-based power transmission foundation concrete defect analysis system and a voiceprint signal-based power transmission foundation concrete defect analysis method. The conditions of foundation installation position soil, stress load, outer layer waterproofness, internal steel bar positions and the like are comprehensively considered, water flow invasion analysis, steel bar damage analysis, concrete damage prediction and foundation damage prediction are carried out in sequence, then foundation bearing abnormity analysis is carried out, and finally whether a foundation needs to be replaced or not is judged. Precise evaluation of matching of the power transmission foundation and the installation position is achieved, the safety and reliability of installation of the power transmission foundation are guaranteed, the operation and maintenance cost is reduced, and the resource utilization efficiency is improved.

This invention relates to a damage analysis method and damage assessment system based on space-based information. The damage analysis method includes: S100, predicting target damage before impact based on case data in a case database; S200, deploying weapons and equipment and conducting target strikes based on the prediction results of step S100; S300, determining post-strike damage based on the pre-strike target damage prediction results; and S400, establishing the relationship between the striking weapon, the striking target, and the damage determination based on a knowledge graph and storing it in the case database. The damage assessment system includes a damage analysis support data maintenance subsystem, a damage analysis operation and maintenance subsystem, a pre-strike target damage prediction subsystem, a satellite reconnaissance data damage determination subsystem, a damage image mapping subsystem, and a damage determination result production subsystem. This invention can standardize the target damage analysis process and standards, and, combined with knowledge graph analysis methods, establish a graph relationship between striking weapons, striking targets, and strike damage conditions for subsequent in-depth data mining, thereby forming a complete damage analysis and assessment system.

The invention belongs to the technical field of ballastless track interface mechanics, and particularly discloses an assembly type test device and test method for measuring normal mechanical parameters of an interlayer interface of a ballastless track. The center of the measuring platform is provided with a left side fixing device and a right side fixing device which are used for fixing the pushing test piece, the pushing test piece comprises an upper concrete test piece and a lower concrete test piece, the lower concrete test piece is provided with a reserved fixing hole for fixing the pushing test piece, and the reserved fixing hole is rigidly matched with a positioning screw rod, so that the pushing test piece can be fixed. The self-alignment assembly is realized; a simple and reliable measurement and calculation method is developed in a matched mode and used for obtaining a normal force-displacement relation curve and key normal cohesion parameters of the ballastless track interlayer interface, and a theoretical basis and data support are provided for numerical simulation and damage analysis of ballastless track interlayer interface behaviors.

This invention discloses a probabilistic analysis-based method for assessing the risk of liquefaction damage to dam foundations. The method includes establishing seismic motion parameter hazard curves for the dam foundation surface under different working conditions, based on on-site seismic safety assessment reports and considering the compaction effect of crushed stone piles on the dam foundation and the amplification effect of overlying stress on ground stress; plotting spatial distribution maps of soil parameters in the dam foundation soil under different working conditions; selecting a suitable simplified calculation model for liquefaction damage; and performing dam foundation liquefaction damage analysis based on the seismic motion parameter hazard curves and the spatial distribution maps of soil parameters, combined with the simplified calculation model, to obtain seismic liquefaction probability distribution maps of each soil layer under different working conditions. The seismic liquefaction risk of the soil is then assessed based on these probability distribution maps. This invention can effectively guide the seismic design and risk management of dam foundations, comprehensively consider the uncertainties of earthquake, geological, and soil parameters, and contribute to improving the safety and reliability of water conservancy projects.

The invention discloses a full-process simulation and blasting pressure prediction method for a weak-rigidity core mold composite material shell, and belongs to the technical field of solid rocket engine integrated explosive forming shell design. The method comprises the following steps: designing an equal residual stress tension system based on a fiber winding layer stress theory; constructing a finite element model in the shell winding process, iteratively optimizing a tension system and determining a stress field and a strain field after winding; taking the stress field and the strain field as predefined fields, constructing a finite element model in the curing process, and calculating the stress field and the strain field after curing; and based on the stress field and the strain field after curing, progressive damage analysis is realized through a three-dimensional Hashin criterion, and the maximum blasting pressure of the shell with the powder is predicted. The problems that in the prior art, a tension system lacks collaborative optimization, simulation cannot cover the whole process, and blasting prediction deviation is large are solved, precise coupling prediction of the process and performance is achieved, and theoretical support is provided for optimization of the integrated forming process.

Systems, methods, and computer-readable media, are disclosed in which a variety of data describing the condition of an object can be obtained and probabilistic likelihoods of causes and / or value of damages to the object can be calculated. In a variety of embodiments, data obtained from third-party systems can be utilized in these calculations. Any of a number of machine classifiers can be utilized to generate the probabilistic likelihoods and confidence metrics in the calculated liabilities. A variety of user interfaces for efficiently obtaining and visualizing the object, the surrounding geographic conditions, and / or the probabilistic likelihoods can further be utilized as appropriate. User interfaces can include a scene sketch tool application program interface and / or a liability tool user interface and various data sources can be used to dynamically generate diagrams of object damage and / or the environment in which the object was damaged.