362 results about "Qualitative analysis" patented technology

The invention belongs to the technical field of medical informatization, and particularly relates to a medical insurance medication rationality interception system and method based on deep reinforcement learning and an FP-Growth algorithm, and the method comprises the following steps: S1, receiving electronic prescription data transmitted by a hospital HIS system in real time; s2, according to original diagnosis information in the prescription, performing standardization processing to obtain a diagnosis set; according to the original medicine information in the prescription, cleaning and integrating to obtain a medicine set; s3, based on an FP-Growth association rule algorithm, performing diagnosis-drug association analysis and drug-drug association analysis on the diagnosis set and the drug set, and identifying a low-association prescription according to a preset condition and marking the low-association prescription as a suspicious prescription; s4, starting deep reinforcement learning analysis on the suspicious prescription through DRL decision optimization, and outputting a prescription reinforcement learning feature set; and S5, outputting a prescription qualitative analysis result and a corresponding confidence score according to the prescription reinforcement learning feature set.

The invention belongs to the field of automatic testing, and particularly relates to an automatic testing system and method for aviation fly-by-wire flight control equipment, and the system comprises a system self-inspection unit, a system resource unit, a system interface adaption unit, and a system testing control unit. And the system self-checking unit controls the automatic test system to execute a self-checking function through operation software. The test efficiency and the test coverage rate can be remarkably improved, the problem of function test omission can be effectively solved, the fault of the tested airborne avionics equipment is analyzed by adding the YMECA fault analysis module and combining the definition event and the structure function of the fault tree, qualitative analysis is carried out on the fault, a professional basis is provided for fault diagnosis, the maintenance difficulty is reduced, and the test efficiency is improved. The aircraft maintenance guarantee efficiency is improved, and joint test of a plurality of airborne avionics devices and parallel test of a plurality of airborne avionics devices of the same model in a fly-by-wire flight control system of a certain type of fighter can be realized.

The invention discloses a law enforcement case qualitative analysis method based on a large language model, and belongs to the technical field of law enforcement informatization. The system mainly comprises a data preprocessing module, a law article and case retrieval module, a prompt template generation module, a large language model reasoning module, a consistency checking module and a manual auditing and writing-back module. The method comprises the following steps: S1, data preprocessing; s2, retrieving law provisions and cases; s3, a prompt template is constructed; s4, large language model reasoning; s5, checking the consistency; and S6, performing manual auditing and write-back. In the step S1, sensitive information such as a natural person name, an identity card number, a contact way, a family address and the like in a case text is subjected to anonymization replacement or hash processing. The law enforcement case qualitative analysis method based on the large language model achieves the effects of improving accuracy, consistency and interpretability.

The invention discloses a method for determining volatile organic compounds in surface water by purging and trapping and gas chromatography-mass spectrometry, which comprises the following steps: acquiring mass spectrometry data of volatile organic compounds in a surface water sample, and separating and detecting a multi-component mixture in a complex matrix by gas chromatography-mass spectrometry, obtaining an original data set containing retention time and mass spectrum information; according to an output result of the classification model, carrying out qualitative analysis on unknown compounds in a to-be-detected sample, and if the classification probability is greater than a preset threshold value, determining the types of the compounds to obtain an accurate qualitative recognition result; and establishing a concentration standard curve by adopting a corresponding quantitative ion peak area according to a target compound confirmed in the qualitative identification result, and calculating a linear relation parameter between the peak area and the concentration to obtain a regression equation for quantitative analysis.

The invention relates to the technical field of building design, in particular to an ancient building visual color matching method, which comprises the following steps of: 1, acquiring multi-source data; step 2, color feature extraction; 3, constructing a historical color knowledge base; step 4, constructing a color matching model; and step 5, performing three-dimensional visual rendering. According to the historic building visual color matching method, qualitative analysis of'regional culture-natural environment 'is converted into quantitative collection of multispectral images and three-dimensional point clouds, and spatial accurate positioning of color features is achieved; a standardized knowledge base containing historical periods and technologies is constructed, and the fragmentation problem of traditional color matching experience is solved; through physical realistic rendering, the method is expanded to color simulation of the ancient building under different climate conditions, and the recovery credibility is improved.

The invention relates to the technical field of FPC (Flexible Printed Circuit) laminated structure optimization, in particular to a module FPC laminated structure optimization system based on signal integrity, which comprises a laminated parameter sensitivity extraction module used for defining the thickness of a dielectric layer, the thickness of a copper foil and a dielectric constant as closed interval values with upper and lower boundaries according to FPC design specifications. According to the method, the accumulated deviation area and the normalized confidence score are obtained in combination with integral operation, conversion from a frequency domain to a time domain and from qualitative analysis to quantitative evaluation is achieved, tiny flaws of impedance continuity are captured, inferior paths are screened based on the confidence score, and a physical junction area is positioned. The geometric gravity center of the deviation area is calculated to be matched with the slope and the length of the gradient line, a smoothly-transited geometric figure is constructed, structural compensation can be achieved in areas where impedance is prone to sudden change such as a reinforcing plate junction and covering film pressing, and signal reflection caused by physical sudden change of a stacked structure is eliminated.

The invention discloses a coronary artery lesion risk prediction method, a coronary artery lesion risk processing device, a coronary artery lesion risk prediction system and a computer readable storage medium. Obtaining a point sequence according to high-frequency QRS wave group data obtained by the exercise electrocardiogram data; aiming at a point sequence corresponding to any electrocardiogram lead, taking any sampling point in a plurality of sampling points in the point sequence as a current reference sampling point in a traversal cycle, and traversing sampling points in a preset time interval from the current reference sampling point, determining whether a first sampling point and a second sampling point meeting a preset condition exist in the preset time interval, wherein the first sampling point is earlier than the second sampling point in time sequence; and if the preset condition is met, determining that the high-frequency QRS wave group data has waveform characteristics indicating the coronary artery lesion, thereby determining the possibility of the coronary artery lesion. Compared with a previous scheme, the scheme has the advantage that the qualitative accuracy of coronary artery lesion is improved.

The invention discloses a high-precision multi-physics field reconstruction method based on a nested neural network architecture. The method comprises the following steps: S1, acquiring open-source multi-physics field data; s2, a multi-scale Fourier operator-driven U-Net physical field reconstruction model is constructed, the physical field reconstruction model comprises an embedding module, a coding module and a decoding module, the coding module comprises at least one coding layer, each coding layer is formed by sequentially connecting a multi-scale Fourier neural operator layer and a down-sampling layer, and the multi-scale Fourier neural operator layer and the down-sampling layer are embedded into the embedding module; the decoding module comprises at least one decoding layer, and each decoding layer is formed by sequentially connecting a multi-scale Fourier neural operator layer and an up-sampling layer; s3, training the physical field reconstruction model based on a training set; and S4, performing quantitative analysis and qualitative analysis on the reconstructed physical field by using the test set.

The invention discloses a silkworm cocoon source discrimination and quality evaluation method and system based on molecular marker analysis, and the method comprises the steps: carrying out the alkaline degumming treatment of a silkworm cocoon sample, and achieving the preliminary discrimination of silkworm cocoons with different feeding sources based on the degumming rate difference; the method comprises the following steps: extracting a silkworm cocoon sample through an organic solvent to prepare a to-be-detected sample solution for liquid chromatography-mass spectrometry; carrying out separation detection on the sample solution to be detected by using a liquid chromatography-mass spectrometry technology to obtain chromatography-mass spectrometry data of the silkworm cocoon sample; performing feature extraction and similarity learning on the chromatography-mass spectrometry data by adopting a deep learning model to finish qualitative analysis of the molecular marker; and based on the qualitative analysis result, establishing a standard curve through an external standard method, and calculating the content of the target compound in the silkworm cocoon according to the peak area of the target compound. According to the embodiment of the invention, accurate tracing of silkworm cocoon sources and objective and quantitative evaluation of internal quality can be realized.

The invention discloses a measuring result stability analysis method and system of a metering instrument, and relates to the technical field of time sequence data analysis. The method comprises the steps of measurement data flow alignment, measurement result stability baseline feature construction, three-state feature decomposition and measurement result stability analysis of the metering instrument. Extracting repeatability features, trend features and structural features of the measurement result, and constructing a measurement result stability baseline feature vector; a three-state feature decomposition method based on baseline constraint is adopted to decompose the stability change of the measurement result into a drift feature, a noise feature and a jump feature; comprehensively analyzing the stable state and the change trend of the measurement result of the metering instrument based on the baseline feature and the tri-state feature decomposition result; according to the method, the stability of the measurement result of the metering instrument can be subjected to refined and cause-distinguishable analysis under the complex working condition and the multi-state operation condition, and a reliable basis is provided for the evaluation of the operation state of the instrument and the judgment of the credibility of the measurement result.

The invention discloses a mass spectrum data high-throughput alignment and parallel qualitative method based on deep characterization learning, and relates to the field of chromatography-mass spectrometry data processing and calculation mass spectrography. The method comprises the following steps: performing streaming, micro-batch and single traversal analysis on original mass spectrum data files of a plurality of samples to be detected; extracting metadata and main data by taking the fragmented spectrogram as a unit, inputting the metadata and the main data into a pre-trained depth representation learning model to generate a high-dimensional embedded vector, and incrementally writing the metadata and the main data into a column type storage database; constructing a sparse approximate nearest neighbor graph; executing a clustering algorithm on the graph to generate a consensus spectrogram set, and generating a consensus feature vector for each clustering cluster and a single example cluster; determining the nature of the consensus feature vector; and constructing a sample * feature matrix based on the cluster affiliation relationship and the qualitative result. According to the method, the technical problems of I / O bottleneck, memory overflow, combinatorial explosion, computing power waste and the like in large-scale mass spectrum data analysis are effectively solved.

The present application relates to the technical field of computers, and in particular to a fault root cause locating method, a fault root cause positioning system implementing the method, and a computer-readable storage medium and a computer program product. The method comprises: acquiring an architecture topology graph and abnormal alarm information of an application system; on the basis of the architecture topology graph and the abnormal alarm information, constructing a troubleshooting logical tree, wherein in the troubleshooting logical tree, a logical relationship between nodes is used to indicate a potential fault propagation link between configuration components in the architecture topology graph; performing qualitative analysis on the troubleshooting logical tree, so as to identify a potential fault point that causes a fault; performing quantitative analysis on the troubleshooting logical tree, so as to calculate a fault probability and the degree of influence of each potential fault point; and on the basis of results of the qualitative analysis and the quantitative analysis, determining a root cause fault point, and acquiring a fault propagation link of the root cause fault point.

The invention relates to the field of compound qualitative analysis, and provides an SERS statistical quantitative analysis method and system based on signal-to-noise ratio regulation, and the method comprises the following steps: carrying out SERS spectrum collection on target molecules with different concentrations on a reference batch SERS substrate through a point-by-point measurement method to obtain an original spectrum data set; on the basis of a multi-signal-to-noise-ratio standard, identifying characteristic peaks of the original spectrum data set to obtain a quantitative standard curve set; carrying out recovery rate verification on the quantitative standard curve set to obtain a verified standard curve set; and through the verification standard curve set, carrying out reverse derivation on the SERS detection rate of the target molecule with unknown concentration on the batch of SERS substrates to be detected to obtain a predicted concentration value of the target molecule. According to the invention, the dynamic range and precision of detection are expanded.

The invention discloses a steady-state wind power grid-connected power system frequency instability risk quantitative evaluation method considering an active disturbance probability, and belongs to the field of power system stability analysis. The method comprises the following steps: inputting steady-state power flow information of each grid-connected power generation cluster into an XGBoost-based speed regulation system frequency modulation parameter identification model to obtain frequency modulation parameters, and obtaining a primary frequency modulation polynomial equivalent analysis model of each cluster; simplifying a calculation formula of an inertia center frequency deviation extreme value based on an active-frequency open-loop decoupling model; setting a multi-level inertia safety boundary by referring to various active disturbance occurrence probabilities; and establishing a piecewise linear thought-based steady-state frequency stability margin quantitative evaluation index for online evaluation of the inertia level of the system, and analyzing the steady-state system frequency stability margin and the frequency instability risk in real time. According to the method, the influence of wind power integration on the frequency response process of the power system is considered, online real-time accurate evaluation of the system frequency stability margin in a steady state is realized, and a reference basis is provided for formulating frequency stability control measures.

A method of determining a confidence measure of precursor inference in mass spectrum data. The method includes evaluating the response profile using response profile metrics and reporting the confidence measure of the precursor inference using the response profile and the evaluating of the response profile. Also a method of detecting conflicting relationships between precursors including filtering an intensity at at least one position across the scanning ion transmission window dimension. Another method a method of detecting conflicting relationships between precursors includes generating, based on an encoding, a trace of the scanning ion transmission window dimension wherein each sum is substituted with a binary metric for presence of the at least one unique product ion in each window. Further a method of identifying a precursor m / z including determining an intercept between the rising linear function and the falling linear function, and identifying the precursor m / z using the intercept.

To provide a method that comprehensively evaluates risk potential of a chemical substance by combining comprehensive non-target qualitative and quantitative analysis with various hazard evaluation support databases.SOLUTION: A method for comprehensively evaluating risk potential for a chemical substance comprises: a chromatographic separation step of separating a measurement sample into components; a qualitative analysis step of qualitatively analyzing the separated components; a quantitative analysis step of oxidizing and reducing the separated components to make methane, and then quantifying the methane; and a risk evaluation step, for a target substance identified in the qualitative analysis step and the quantitative analysis step, extracting a chemical substance with a similar structure by referring to a database, extracting a chemical substance with physical properties similar to those of the target substance, predicting a toxicity value or arithmetic mean of the toxicity values of the extracted chemical substance as toxicity potential of the target substance, and estimating risk potential.SELECTED DRAWING: Figure 1

The invention provides a block model construction method for underground cavern group surrounding rock stability analysis, which comprises the following steps: generating an initial block according to a topological relation between a fault and a joint in a three-dimensional geologic model, and carrying out geometric reconstruction on a block interface through Boolean operation to eliminate overlapping; automatically matching lithology types of the divided blocks with an engineering attribute database, dynamically distributing elastic modulus, Poisson's ratio and tensile strength, establishing rock attribute mapping, synchronously iteratively solving interaction equations of a mechanical deformation field, a seepage pressure field and a temperature stress field in a unified solver, and performing multi-physics field coupling; a potential sliding surface is automatically identified according to a multi-physics field coupling result, a sliding surface friction coefficient and shear strength are fused to calculate a safety coefficient, non-overlapping block division is carried out by adopting a topological relation of faults and joints, an interaction equation of a mechanical deformation field, a seepage pressure field and a temperature stress field is synchronously iterated through a unified solver, and a non-overlapping block is obtained. And accurate quantitative analysis of surrounding rock stability is realized.

The invention discloses a green building full life cycle resource sharing and collaborative management method and system, and relates to the technical field of workflow management, and the method comprises the steps: receiving a collaborative design request, creating a task tree by a task management module, and determining a task progress according to the task tree; the green tool integration module calls basic modeling software based on the task progress to obtain building information model data; the green tool integration module calls performance simulation software and calculation software based on the building information model data to generate multi-type result data; the task management module performs quantitative and qualitative analysis on the multi-type achievement data to obtain an analysis result, and sends the analysis result to a green special topic review module; and the green thematic examination module generates evaluation term data and evaluation version data based on the analysis result, and integrates the evaluation term data and the evaluation version data into an evaluation report for output. The method can effectively shorten the iteration period and reduce the error rate.

According to the method for judging the transient stability of the grid-forming type grid-connected converter under the power grid asymmetric fault, in the fault duration stage, if the equivalent acceleration area of a grid-forming type positive-sequence system is smaller than the sum of the equivalent deceleration area and the equivalent damping area, the positive-sequence system can keep stable operation, and otherwise, the positive-sequence system is unstable. And if the equivalent acceleration area of the netting type negative sequence system is smaller than the sum of the equivalent deceleration area and the equivalent damping area, the negative sequence system can maintain stable operation, otherwise, an instability phenomenon occurs. According to the method, quantitative analysis of the transient stability of the network-forming type grid-connected converter under the asymmetric fault is realized through a phase plane method, the limitation that only qualitative analysis can be provided by a conventional method is overcome, and a more accurate and reliable means is provided for system stability evaluation. According to the method, the influence of the negative sequence component is fully considered, and the transient synchronization stability of the negative sequence system is deeply analyzed.

The invention discloses a power distribution network fault studying and judging method and system based on topological relation and multi-source data checking. The studying and judging method comprises the following steps: acquiring an original signal and topological data; setting an initial confidence coefficient of each device, and taking the initial confidence coefficient as a confidence coefficient threshold value; checking power failure signals in the original signals of the devices according to a confidence threshold, and replacing the power failure signals of the devices of which the confidence is lower than the confidence threshold; selecting equipment i with the initial value of i being 1, and calculating a power failure signal estimated value of the equipment i; performing threshold division and qualification on the power failure signal estimation value to obtain a power failure signal qualitative value; judging whether i exceeds the total number m of equipment; and based on the topological data and in combination with a power failure signal qualitative value, determining a power failure type and determining a power failure range. According to the method, the original signal and the topological data of the power distribution network equipment are divided into four levels, multi-dimensional data resources of different levels and different types of equipment are comprehensively covered, and the limitation that the prior art depends on a single signal is thoroughly changed.

The utility model relates to a battery pack abnormity monitoring device, and belongs to the technical field of battery fault monitoring, and the battery pack abnormity monitoring device comprises a three-way valve which is arranged corresponding to a battery pack, the battery pack is provided with a vent hole in advance, and the input end of the three-way valve is communicated with the vent hole in the corresponding battery pack; the qualitative analysis sensor corresponds to the three-way valve, and the input end of the qualitative analysis sensor is communicated with the first output end of the corresponding three-way valve; the output ends of all the qualitative analysis sensors are connected in parallel and are communicated with the gas exhaust port; the second output ends of all the three-way valves are connected in parallel and are communicated with the input end of the gas analysis and detection system, and the output end of the gas analysis and detection system is communicated with the gas exhaust port; when the qualitative analysis sensor monitors that gas is abnormal, the first output end of the corresponding three-way valve is closed, the second output end of the corresponding three-way valve is opened, and the gas analysis and detection system analyzes and detects the abnormal gas. The battery pack gas monitoring device has the beneficial effect of realizing monitoring of the battery pack gas in the engineering in a low-cost and high-efficiency manner.

The invention discloses a strategic recommendation method and device, and relates to the technical field of intelligence analysis tools, the method is applied to a computer device capable of calling a knowledge base and a large model, and the method comprises the following steps: retrieving an obtained text fragment based on an input request of a user; based on the input request, calling a large model to carry out site analysis on the input request to obtain a site analysis result; based on the input request, the text fragment and the standing analysis result, calling the large model to combine with the text fragment to perform qualitative analysis on the standing analysis result, and outputting a qualitative analysis result; based on the input request and the qualitative analysis result of the dictionary format, determining an optimal feature vector of the dictionary format by using an analytic hierarchy process; and on the basis of the optimal feature vector, four-quadrant analysis data of each strategy is calculated by using a four-quadrant analysis method, and then optimal strategy pushing is completed. According to the method, qualitative analysis, an analytic hierarchy process and a four-quadrant analysis method are combined, development strategic intelligence analysis is carried out according to requirements input by a user, and strategic suggestions are generated.

A method for distinguishing metal ions Cu 2+ and Mn 2+ This method utilizes a pH clock reaction system of "urease-CO(NH2)2-H2SO4" as the distinguishing solution, based on the Cu of the sample to be distinguished. 2+ and Mn 2+ The reactions between Cu and the products of urea hydrolysis catalyzed by urease differ, resulting in different patterns produced by the pH clock system, thus enabling the determination of Cu... 2+ and Mn 2+ Qualitative analysis of Cu involved in this invention. 2+ and Mn 2+ The qualitative analysis method is characterized by high accuracy, ease of operation, and convenience.

The invention belongs to the technical field of component detection, and particularly relates to a method for detecting volatile components of mutton based on ITEX-GC-IMS. Comprising the following steps: incubating a sample to be detected to obtain a pretreated sample; performing ITEX headspace sampling on the pretreated sample, performing GC-IMS analysis, and establishing a calibration curve of retention time and retention index of a target object; calculating a retention index of the target object through the retention time of the target object, and comparing the retention index with a retention index database and an IMS migration time database to obtain qualitative analysis of the target object; wherein the parameters of the ITEX headspace sample injection are as follows: the sample injection volume is 500L; the hatching rotating speed is 500r / min; the filling material is Tenax TA 80 / 100 mesh; the temperature of a sample injection needle is 130 DEG C; the dynamic frequency is 12; the adsorption temperature is 40 DEG C; and the desorption temperature is 150 DEG C.

The application provides an intelligent processing method and device for auditing problem qualitative analysis and rectification tracking based on a large model and a medium. It belongs to the technical field of auditing. The system comprises a model construction module: an intelligent auditing knowledge cloud brain is constructed, and knowledge base data is generated; based on the knowledge base data, key auditing element extraction is performed on the auditing business scene, and auditing element extraction result data is generated; auditing problem matching model training is performed according to the auditing element extraction result data, and an auditing problem accurate matching model is constructed; relying on the powerful knowledge base and intelligent matching capability of the large language model, knowledge content closely related to the problem is rapidly and automatically filled in, covering key information such as problem name, manifestation form, problem qualitative analysis, qualitative analysis basis and treatment and punishment basis, which greatly saves the time of auditing personnel for manually searching and sorting data, more ensures the accuracy and integrity of the problem description, and lays a solid foundation for subsequent auditing analysis.

The application discloses a benzotriol isomer quantitative method based on multi-feature peak consistency correction, and comprises the following steps: collecting a pretreatment spectrum for a mixture to be measured containing two components belonging to a benzotriol isomer group, calculating the signal-to-noise ratio of each exclusive feature peak in the pretreatment spectrum, and completing the qualitative analysis of the two components by multi-feature peak consistency voting according to the signal-to-noise ratio; selecting a main feature peak pair, and sequentially performing conversion and multi-feature peak consistency correction on the peak area of each feature peak to obtain the effective peak area of the two components, and then obtaining the competitive peak area ratio of the two components, and finally calculating the mass fraction of the two components according to a linear self-calibration model to complete the quantitative analysis. 2 The calibration correlation coefficient R is improved from about 0.88 to above 0.99, and fast, lossless and distinguishable quantitative analysis is realized.

The application discloses a reliability simulation method and system for a ship transmission shaft based on deep reinforcement learning, and belongs to the field of ship transmission shaft design. The application organically combines a deep reinforcement learning algorithm with fault features and reliability characteristic quantities, substitutes reliability characteristic quantities of transmission shaft parts into a fault tree for quantitative analysis, calculates state transition probabilities of each node, uses a Markov chain model to summarize state transition rules of each node fault mode to establish a system fault state transition probability formula; a fault mode analysis establishes a fault state space; a probability correlation degree between a bottom event and a top event of the fault tree qualitative analysis constitutes an action space; a reward function weight factor of a Markov decision model is generated through a mathematical relationship of reliability characteristic quantities of each level unit, a reliability simulation event table column is solved and generated, and transmission shaft reliability change conditions can be timely reflected, so that the reliability comprehensive prediction precision of the transmission shaft is greatly improved, and the reliability and availability of the transmission shaft during operation are ensured.

The invention discloses a detection method of a blood entering component of a Mongolian medicine Tiangu-3 for treating asthma, and relates to the technical field of medicine in-vivo metabolism, and the detection method specifically comprises the following steps: S1, collection of a biological sample: respectively collecting initial blank serum and drug-containing serum for later use; s2, preparation of a biological sample: treating the initial blank serum and the drug-containing serum to obtain blank serum and drug administration serum samples for later use; s3, preparing an in-vitro test sample, namely treating daily check-3 to obtain a traditional Chinese medicine sample for later use; and S4, respectively taking the blank serum, the administration serum and 10 mu L of the traditional Chinese medicine sample, carrying out LC-MS / MS analysis, and determining the in-blood components based on the detection result. The method disclosed by the invention can more comprehensively reveal the characteristics of the drug-derived components after the drug enters the blood, and fills the blank in the fields of qualitative analysis of the components entering the blood and quantitative detection of all the effective components in the Jiaogue-3 (Jiaogue-3) (Jiaogue-3) (Jiaogue-3).

The invention discloses an excavator operation intelligent monitoring and analysis system based on vision and a large model, and relates to the technical field of building construction. According to the method, an accessed monitoring video is automatically processed through a computing device deployed at the edge, and the method comprises multiple links of data preprocessing, action recognition, job analysis and report generation and block chain evidence storage. Firstly, based on a SlowFast-BiLSTM model, in combination with a target detector and a target tracker integrated in a network, real-time detection, tracking and fine-grained action recognition of multiple excavators in a picture are achieved, and a structured action sequence is output. An analysis task is autonomously planned through a multi-agent workflow driven by a large language model, and an external tool is scheduled to complete multi-dimensional quantitative and qualitative analysis. According to the system, tampering-free evidence storage is carried out on key data of the whole process from an original video, an action sequence, an inference process to a final report, it is ensured that the analysis process can be audited, the result can be traced, and interpretable and traceable intelligent analysis support is provided for construction management.

The plating layer has a chemical composition containing, in mass%, more than 10.0% but 60.0% or less of Al, 4.0-15.0% of Mg, 3.5-8.0% of Si, and the balance of Zn and impurities, and in an element distribution curve when qualitative analysis is performed by the GDS method from the surface of the plating layer toward the steel material, the element distribution curve has an element distribution curve in which the element distribution curve has an element distribution curve in which the element distribution curve has an element distribution curve in which the element distribution curve has an element distribution curve in which the element distribution curve has an element distribution curve in which the element distribution curve has an element distribution curve. Tg is the thickness of a region from the surface of the plating layer to a depth position at which Fe strength corresponding to 5% of the maximum strength of Fe is detected, and Tg is the thickness of a region from the surface of the plating layer to the depth position at which the maximum strength of Fe is detected. When Si (surf) is the average value of Si from the surface of the plating layer to Tg / 3, Si (center) is the average value of Si in the range from Tg / 3 to 2Tg / 3 starting from the surface of the plating layer, and Si (dep) is the average value of Si in the range from 2Tg / 3 to Tg starting from the surface of the plating layer, formula (1) is satisfied. Si (surf) lt; si (dep) lt; si (center)... (1)