2237results about "Material testing goods" patented technology

The invention relates to a concrete temperature-stress two-parameter cooperative monitoring and early warning method and system, and belongs to the technical field of concrete structure health monitoring, and the method comprises the steps: activating a composite sensor network disposed at a preset position of a concrete structure, and executing a sensor self-calibration mode; the method comprises the following steps: synchronously acquiring temperature and stress original monitoring data of each node, processing based on an altitude air pressure compensation algorithm, and outputting a temperature gradient field matrix and a stress tensor sequence with aligned time domains; the method comprises the following steps: separately calculating a thermal stress component and an effective stress component, performing integral calculation on hydration reactivity, generating a multi-dimensional feature vector set, inputting a pre-constructed prediction model, executing time sequence evolution prediction, calculating a crack probability value, performing environment correction in combination with real-time environment parameters, outputting a risk level identifier, and matching a preset regulation and control strategy. And generating an equipment control instruction set and executing corresponding regulation and control actions. According to the invention, the accuracy and timeliness of crack risk prediction can be improved.

The invention discloses a rubber product quality detection method and system, and relates to the related technical field of rubber quality detection.The method comprises the steps that rubber products are conveyed to a target detection table, and data acquisition of the rubber products is executed; inputting the wave impedance distribution data and the surface heat distribution gradient field into a defect causal atlas channel to execute phase inversion fusion processing, establishing a cross-modal coupling phase tensor, and identifying deep defect response characteristics by solving a phase difference matrix; activating a pressure spectrum sensing unit to apply control pressure, reading a local mechanical response spectrum, sending the local mechanical response spectrum to a cross-modal calibration layer, and executing joint error authentication; and performing quality detection report according to a self-calibration defect mapping result. The technical problems that in the prior art, multi-modal sensing data fusion efficiency is low, deep defects are difficult to comprehensively recognize, and consequently the quality detection precision and reliability of rubber products are insufficient are solved, and the technical effects that cross-modal cooperative detection is achieved, and the precision and reliability of defect recognition results are improved are achieved.

The invention relates to the technical field of concrete curing, in particular to a concrete crack risk prediction and curing system based on thermo-acoustic coupling indexes. According to the scheme, a temperature field and an acoustic emission signal are synchronously acquired through the multi-modal data acquisition module; a thermal diffusion shear index and an acoustic emission energy density are calculated by a multi-modal data fusion module, and are fused into a unified thermo-acoustic coupling factor to quantify a cross-scale risk; the structural constraint compensation module corrects the factor by using pre-stored constraint information to generate a final risk index; the self-adaptive maintenance decision-making module maps a dynamic maintenance strategy according to the indexes; and finally, the maintenance robot executes precise maintenance operation. The technical problems that macroscopic thermal stress and microcosmic damage signals cannot be evaluated in a unified mode, different-source data are difficult to fuse, and high-constraint area risk identification is inaccurate are solved, and continuous prediction and self-adaptive cooperative control of cracks from a potential stage to an initiation stage are achieved. And the accuracy and the intelligent level of early-age crack prevention and control of the concrete are remarkably improved.

The invention provides a constructional engineering concrete compressive strength detection method and system.The method comprises the steps that multi-modal information of a to-be-detected concrete member for constructional engineering is collected, and the multi-modal information comprises rebound data, ultrasonic data, resistivity data and temperature data; constructing a hybrid prediction model; and outputting compressive strength data according to the mixed prediction model, and visually displaying the compressive strength data. According to the method and the system for detecting the compressive strength of the constructional engineering concrete, disclosed by the invention, multi-modal information such as ultrasonic, rebound, resistivity and temperature of the to-be-detected concrete member is input into the mixed prediction model for compressive strength prediction, and the model can be used for more accurately processing nonlinear and high-dimensional characteristics in data; a transfer learning mechanism is introduced, so that the model adapts to changes of different regions and materials under limited training data, and the generalization ability and accuracy of prediction are improved. And the compressive strength data is visually displayed, so that the analysis efficiency of engineers is improved.

Apparatus for real time water content and water cement monitoring on a ready-mix concrete truck includes at least one real time moisture measurement module or sensor configured tosense continuous real time moisture measurements of a batch of wet cement loaded into a rotating drum of a ready-mix concrete truck; andprovide signaling containing information about the continuous real time moisture measurements sensed.The apparatus may include either a hatch door of the rotating drum of the ready-mix concrete truck, or the rotating drum of the ready-mix concrete truck, or the ready-mix concrete truck itself.

The invention discloses a high-precision ink path bubble detection and rapid circulation compensation method and a related device. The method comprises the following steps: inputting visual sensor data, ultrasonic data and pressure fluctuation data into a trained ink path bubble semantic segmentation network model for segmentation; calculating the equivalent diameter, the bubble volume, the bubble density, the bubble flow velocity and the category of the bubbles according to the binary mask sequence; inputting the equivalent diameter, the bubble volume, the bubble density, the bubble flow velocity and the category of the bubbles into the trained multi-agent collaborative decision network model, and outputting dynamic cyclic compensation and prevention actions; and according to the dynamic circulation compensation and prevention action, the ink path pumping pressure, the valve opening degree and the ink temperature are adjusted in real time, and a high-frequency micro-pulse exhausting, reverse suction or vibration bubble removing strategy is triggered. Through high-precision detection and intelligent compensation, bubbles are effectively removed, nozzle blockage and cleaning frequency are reduced, and therefore the downtime of equipment is shortened, and waste of ink and consumables is reduced.

An RF-based material detection device includes an antenna connector, a first interchangeable antenna capable of being releasably coupled to the RF-based material detection device via the antenna connector, an RF transmitter unit operably connected to the antenna connector and configured to transmit an RF signal via the first interchangeable antenna into a first material at a specific resonance frequency for the first material, and an RF receiver unit operably connected to the antenna connector and configured to receive from the first material via the first interchangeable antenna a first modified signal in response to interaction of the RF signal with the first material, wherein the first interchangeable antenna includes one or more design characteristics optimized to detect the first modified signal from the first material.

The invention discloses a concrete quality three-level monitoring device and method, and belongs to the technical field of concrete construction. The method aims at solving the cracking problem caused by factors such as temperature stress and shrinkage stress in mass concrete construction and the key technical problems such as data islanding phenomenon and regulation and control lag in an existing monitoring method. According to the technical scheme, a three-level monitoring system of pouring layer-cooling layer-structural layer is constructed, and various key parameters such as temperature, humidity, flow velocity and cooling water flow of concrete in pouring, cooling and stabilizing stages are accurately monitored in real time; the central controller is used for carrying out real-time analysis processing and dynamic regulation and control on the data, so that comprehensive, accurate and continuous monitoring on the concrete construction quality is realized; the method is mainly applied to monitoring scenes of mass concrete construction quality, concrete cracking can be effectively prevented, the engineering quality and safety are remarkably improved, and reliable technical guarantee is provided for the concrete construction industry.

The invention relates to the technical field of crack monitoring, in particular to a concrete structure crack full-life-cycle monitoring method and system, and the method comprises the following steps: arranging sound wave points to obtain a stress change to generate an initial signal, extracting an image feature recognition extension path, analyzing a size acceleration to generate an extension identifier, and screening an active cycle at intersection time to generate an evolution fragment. And classifying crack behaviors according to displacement and width trends to generate an annotation set. According to the method, stress evolution is reflected based on interval transit time, a crack expansion trend is extracted in combination with an image feature point track, an active state is identified by superimposing crack size speed increase synchronism, a high-frequency change fragment is positioned through multi-index time intersection, and crack behavior types are divided according to a displacement direction and a width increase trend. Continuous tracking and classified marking of the whole process from crack starting to evolution are achieved, the response capacity to abnormal crack behaviors is enhanced, and the precision and timeliness of structural safety state recognition are improved.

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

The invention relates to the technical field of pavement compactness detection, and discloses an asphalt pavement compactness multi-source sensing fusion detection and quality evaluation system, which comprises a data processing module for filtering and standardizing synchronously acquired multi-dimensional physical parameter data of an asphalt pavement to generate a standardized data stream; the data fusion module is used for carrying out fusion calculation on the standardized data flow by adopting a self-adaptive weighted fusion algorithm to obtain consistent fusion data; the quality evaluation module is used for generating a compaction degree evaluation result according to the consistency fusion data and a preset compaction degree calculation model; and the result output module is used for converting the compaction degree evaluation result into a graphical interface and a digital report and outputting the graphical interface and the digital report. The method can effectively solve the problems that a traditional coring method is high in destructiveness and low in efficiency, data of a single sensor is one-sided, and data of multiple sources are inconsistent, achieves efficient and accurate compaction degree quality evaluation, and remarkably improves the efficiency and reliability of construction quality monitoring.

The invention relates to the technical field of nondestructive testing and performance analysis of engineering materials, in particular to a nondestructive testing and performance degradation analysis method for bridge structure materials. The method comprises the following steps: acquiring material nondestructive testing monitoring data, and executing unified alignment, noise portraying and quality labeling; carrying out combined noise reduction and component evaluation, and generating a noise reduction parameter snapshot; extracting a marginal spectrum and characteristic energy ratio, and establishing a material characterization characteristic index dictionary; calculating a variation index, judging material performance degradation, and constructing a supervision signal; and training the prediction network, generating a trend and a residual error, and completing early warning fusion by adopting a time neighborhood consistency strategy to obtain a material performance degradation early warning level sequence. According to the method, continuous nondestructive monitoring and quantitative characterization of material levels are realized, characteristics and parameters are traceable, cross-channel and cross-time evaluation is consistent, prediction and early warning are sensitive and stable, and the method is suitable for long-term service safety evaluation.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

The invention provides a lossless identification and quantitative evaluation method and system for railway tunnel lining defects, and particularly relates to the technical field of railway engineering detection and intelligent identification. The method comprises the following steps: firstly, collecting a multi-source detection signal, and carrying out adaptive preprocessing on the multi-source detection signal; performing multi-level fusion on the preprocessed multi-source detection signals in a unified space coordinate system to generate a high-precision data set; and finally, inputting the high-precision data set into a multi-task lining defect evaluation model so as to realize refined identification and quantitative evaluation of the railway tunnel lining defects. According to the method, the automation and objectivity of lining defect detection are remarkably improved, and a reliable basis is provided for maintenance decision-making of a tunnel structure.

The invention discloses an HPC curtain wall safety intelligent monitoring method and system, and the method comprises the steps: obtaining curtain wall multi-domain monitoring data and a cable climbing robot scanning record, recognizing a vibration abnormal component, generating a defect sensitivity coefficient, and constructing a damage response field domain; scanning and generating a modal capacity contour surface, setting a resonance early warning trigger node, extracting frequency response distribution to determine a resonance dangerous area, and generating a high-sensitivity monitoring area and a sensor control strategy; an environment load sequence is collected and projected to a damage response field domain to form an effective load bandwidth, and a safety control range is determined by combining structure bearing requirements; performing path search by applying a layered monitoring and adjusting scheme, identifying a stress concentration position through keel deformation modulation, and generating a structure control anchor; analyzing a structure control anchor to generate a fatigue accumulation rate, forming a damage development speed in combination with a scanning record, and extracting collaborative deformation parameters; and comparing the cooperative deformation parameter with a preset value to form a control deviation signal, and generating a self-adaptive control sequence to realize intelligent monitoring and active adjustment of structure safety.

The invention provides a simulated aging test method for an antifouling coating. The simulated aging test method comprises the following steps: S1, constructing a natural aging performance model of the antifouling coating; s2, constructing an accelerated aging model of the antifouling coating and acquiring an acceleration ratio N of natural aging to accelerated aging; s3, based on an accelerated aging model, acquiring an acceleration period Mi corresponding to a critical threshold R (temporary i) of a copper ion exudation rate, wherein the predicted life Lp (temporary i) of the antifouling coating is equal to Mi * N; and S4, based on a natural aging model, obtaining a predicted copper ion exudation rate R < pre-i > corresponding to the predicted life Lp < pre->, judging whether R < pre-i >-R < critical i > / R < critical i > is less than or equal to 10%, if so, outputting a near threshold R < critical i > and the predicted life Lp < pre-i >, and if not, adjusting the critical threshold of the copper ion exudation rate to R < critical i + 1 > and returning to the step S3. According to the method, the performance failure threshold value of the antifouling coating is taken as a boundary condition, the performance of the antifouling coating is rapidly evaluated, the service life of the antifouling coating is quantitatively predicted, the prediction result is subjected to cooperative cross validation through linkage double models, and the reliability is improved.

Provided is a method for determining the resin penetration into at least one porous coating material which is pressed with at least one carrier board and at least one resin layer arranged on the carrier board. During the pressing process the resin penetrates or rises into the at least one porous coating material.

The invention provides a detachable slurry shield slurry film formation and maintenance test device and an intelligent evaluation method, and relates to the technical field of slurry film formation, the detachable slurry shield slurry film formation and maintenance test device comprises a one-dimensional permeation column assembly, the one-dimensional permeation column assembly comprises an upper top plate, an upper permeation column body, a detachable permeation column body, a lower permeation column body, a lower bottom plate and a pressure gauge; the pressurizing assembly is communicated with the pressurizing through hole of the upper top plate; the pore water pressure monitoring assembly is arranged in the one-dimensional permeation column assembly; a filtrate collection assembly; a detachable permeation column placing ring is arranged in a test box body of the pressure maintaining observation assembly; and the information processing assembly is electrically connected with the pore water pressure monitoring assembly and the weighing mechanism. According to the invention, the test efficiency is improved, and meanwhile, the mud film forming process and the plugging effect are accurately evaluated.

The invention relates to a multi-modal fusion-based concrete slurry performance automatic identification method and system, and belongs to the technical field of concrete detection. The invention aims to solve the defects of the traditional manual evaluation and the existing single-mode automatic detection technology, constructs a bimodal depth perception model fusing an image and sensing data, comprehensively analyzes visual features and physical parameters of slurry, preprocesses the image by using an illumination self-adaptive model, overcomes the influence of field light variation, and improves the detection accuracy. Then visual and sensing features are extracted through a double-flow network and fused, and finally objective and comprehensive slurry performance evaluation and risk grades are output through a performance index algorithm and a risk scoring formula. According to the method, the accuracy, the robustness and the intelligent level of concrete workability identification in a complex construction environment are remarkably improved, and reliable support is provided for engineering quality control.

The invention relates to the technical field of engineering material monitoring, and discloses an SHCC material full-life monitoring system for tunnel engineering and an evaluation method. According to the system, through cooperative work of an initial data acquisition module, a material state modeling module, a service environment simulation module, a damage evolution tracking module, a performance degradation evaluation module and a service life prediction module, the whole life cycle of a material is monitored. The method comprises the following steps: acquiring internal microstructure data of a material, constructing a dynamic response map, tracking a microcrack evolution path in real time by implanting a mark point in a simulated tunnel environment, and finally establishing a performance degradation evaluation matrix to complete life prediction. According to the system, internal correlation analysis from microscopic damage to macroscopic performance is realized through two core technologies of dynamic map construction and microcrack mark tracking, and the accuracy of life prediction and the reliability of engineering durability evaluation are improved.

The invention provides a roadbed continuous compaction quality evaluation method based on digital construction, and belongs to the technical field of road construction. The evaluation method comprises the following steps: continuously obtaining the compactness value and coordinate data of a detection point; a first data set corresponding to the Tth rolling is obtained, the compaction degree is evaluated on the basis of the first data set, and compaction degree evaluation comprises the steps that unqualified sample points and qualified sample points are determined on the basis of the target compaction degree value, and the compaction degree passing rate is obtained on the basis of the qualified sample points; on the basis of the coordinate data of the unqualified sample points, the fitted semi-variation function expression and an aggregation influence index calculation formula, acquiring aggregation influence indexes of the detection units which do not pass through; and comparing the compaction degree passing rate and the aggregation influence indexes of the detection units which do not pass the compaction degree passing rate with corresponding qualified indexes to obtain a compaction degree evaluation result. According to the evaluation method, the spatial characteristics of roadbed compaction detection results are fully considered, and the accuracy of roadbed continuous compaction quality evaluation can be effectively improved.

The invention discloses a miniature implantable sensing monomer and a concrete strength monitoring and evaluating method realized by the same. Structural health state input and in-situ monitoring means are not provided for a BIM model, and real-time construction regulation and control failure is caused by the lack of a processing mode. A miniature implantable sensing single body comprises a temperature and humidity sensor, a resistance sensor, a protection shell and a waterproof connecting line, the protection shell is a square frame body, the temperature and humidity sensor and the resistance sensor are arranged in the protection shell in parallel in a penetrating mode, and the temperature and humidity sensor and the resistance sensor are connected with a remote control end through the waterproof connecting line; according to the concrete strength monitoring and evaluating method, the single-node strength evaluation process, the structural overall strength evaluation process and / or the abnormal value early warning evaluation process are conducted on the interior of the structural concrete by remotely controlling the data obtained by the multiple miniature implantable sensing monomers.

The application discloses a parallel laser line scanning device and a method for measuring crack width and spalling area. The device includes a laser source configured to emit two beams of laser light in parallel to each other to scan a surface; a camera configured to collect an image of the scanned surface, and the camera comprising a lens and an image sensor; a positioning rod; and a controller configured to process an image of scanned surface to obtain a pixel scale of a crack or three-dimensional coordinates of contour points of a spalling, and determine an actual crack width in the scanned surface according to the pixel scale of the crack, or determining an actual spalling area according to the three-dimensional coordinates of the contour points of the spalling. The device facilitates faster and more objective evaluations of building conditions, contributing to improved structural health monitoring and maintenance decision-making.

The invention relates to the technical field of analysis and detection, in particular to a method for simulating and detecting micro / nano plastic released by food contact plastic products. The method provided by the invention aims at the blank of the existing food-source micro-plastic detection system, simulative component liquid is collected by simulating the contact between food components and food plastic products, micro-nano plastics are separated through a 1m filter membrane, and micro-sized plastics on the filter membrane are qualitatively and quantitatively detected by adopting a microscopic infrared spectrum and a scanning electron microscope. The water sample under the filter membrane is subjected to qualitative and quantitative treatment on the nano-plastic by a thermal cracking-gas chromatography-mass spectrometry combined technology and a nano-particle tracking analyzer, so that programmed comprehensive detection is realized. According to the method, the amount and what kind of micro-nano plastic can be released by the plastic product in a real use chain are more clearly revealed, support is provided for a market supervision system, health and life safety of the masses are guaranteed, and the method has a good application prospect.

The invention belongs to the technical field of engineering machinery intelligence and construction quality detection, and provides an intelligent compaction degree detection system and method integrated on a road roller. The detection system comprises a multi-mode sensing unit which comprises a vibration sensing module, a machine vision module, an inertia measurement positioning module and a flatness detection module; the detection method comprises the following steps: S1, synchronously collecting data; s2, vibration signal processing and compaction index calculation; s3, image analysis and apparent feature extraction; s4, a multi-source data fusion and machine learning model; s5, positioning and drawing; in conclusion, the invention provides the intelligent compaction degree detection system and method integrated on the road roller. The method is reasonable in design and simple to operate, can realize real-time, comprehensive, lossless and high-precision detection of the compaction degree, and can evaluate the construction apparent quality at the same time, so that the method is suitable for industrial popularization.

The invention relates to the technical field of oil-water detection equipment, and discloses an oil-water detector and method based on a liquid mass resonance measurement principle. The oil-water detector based on the liquid mass resonance measurement principle comprises a parameter sensing unit which is used for contacting an oil-water mixed medium in a pipeline and comprises a current carrying body with a measurement cavity, a measurement probe arranged in the measurement cavity and a resonance body arranged in the measurement probe; and the data processing unit is in signal connection with the parameter sensing unit and comprises a signal transmitting module which is used for transmitting an audio frequency sweep frequency signal to the resonant body to excite liquid column resonance and transmitting electromagnetic short waves with a preset frequency to an oil-water mixed medium at the same time. According to the invention, direct measurement of the density and the dielectric constant is fused, the phase state is identified by using an intelligent algorithm, and the model is switched, so that the problem of failure of a single principle technology in a specific phase state is solved, and high-precision measurement in a water-in-oil state or an oil-in-water state in a full range from pure water to pure oil is realized.

The invention relates to the technical field of lubricating oil quality monitoring, in particular to a lubricating oil quality on-line monitoring system and method, and the system comprises a data collection module which collects lubricating oil parameters in real time through a sensor array; the communication transmission module is used for constructing a data flow network and supporting multi-level interaction; the data analysis and diagnosis module is used for realizing state evaluation and fault early warning; the user interaction and visualization module provides a human-computer interaction interface and decision support; and the intelligent decision module realizes monitoring-maintenance closed-loop control, gives an alarm in time and realizes full-link intelligent control triggered by a maintenance action. According to the method, the prediction precision and the early warning capability of the degradation trend of the oil system are effectively improved through the improved autoregression moving average model, the real-time state of the oil is accurately reflected by dynamically adjusting the alarm threshold value, and the fault positioning precision is greatly improved through the space matching algorithm.

A system for predicting rare earth elements (REEs) in a feedstock sample includes a measurement instrument that records a measurement for a sample, a processor communicatively coupled to the measuring instrument, and a memory communicatively coupled to the processor and containing machine readable instructions that, when executed by the processor, cause the processor to correlate the measurement series using a model; and predict a presence of one or more rare earth element based at least in part on the correlation. A method for predicting rare earth elements includes measuring feedstock samples via XRF or PGNAA, to generate a measurements of elements of interest with a lower atomic weight than REEs; correlating the measurements with a model; and predicting a presence of one or more rare earth elements based at least in part on the correlation.

The invention discloses an on-line monitoring system and method for gearbox oil of a wind turbine generator, belongs to the technical field of gearbox oil monitoring, and solves the problem of how to improve the real-time performance and accuracy of gearbox oil monitoring. According to the invention, multiple sensors are deployed to cooperatively collect oil quality information signals and vibration signals, monitoring is carried out from multiple dimensions of the oil state, and the limitation of monitoring of a single parameter is effectively avoided; by monitoring the oil viscosity, the moisture content and the abrasive particle index of the gear box in real time, the abnormal state caused by lubrication failure or abrasion aggravation can be recognized, and the non-planned shutdown loss can be reduced through a predictive maintenance strategy formulated based on the oil parameter change trend; by monitoring moisture and metal particles in the oil, secondary abrasion caused by lubrication degradation can be effectively inhibited, all-weather state monitoring is conducted on the gear box, safety accidents caused by sudden failures are avoided, and the real-time performance and accuracy of monitoring of the oil in the gear box are effectively improved.

The invention discloses a cold region coating concrete critical freeze-thaw frequency estimation and service life prediction method and system, and the method comprises the steps: firstly obtaining a plurality of groups of indoor rapid freeze-thaw test data to construct a sample data set; and constructing a damage model for representing the relationship between the freezing and thawing cycle times and the freezing and thawing damage degree of the coating concrete. And then on the basis of the constructed sample data set, an optimization algorithm is adopted to search for a global optimal model parameter combination capable of enabling an output result of the damage model to be optimal, an optimal damage model is constructed on the basis of the searched global optimal model parameter combination, and a quantitative relation between the damage degree and the freezing and thawing cycle number is established. And finally, according to a damage degree threshold value specified by the coating concrete to be estimated, performing inversion calculation through the optimal damage model, accurately estimating the indoor critical freeze-thaw times required by attenuation of the coating concrete to the damage degree threshold value, and providing a basis for subsequent accurate prediction of the service life of the coating concrete.