61 results about "Analysis software" patented technology

The application provides an intelligent parameterized UI generation system and method suitable for professional analysis software, receives UI requirements in the form of natural language or pictures through a user interaction layer, analyzes the requirements by an AI intelligent processing layer, and automatically generates an initial configuration file containing components, styles and logic in combination with a domain knowledge base and a reference style. A user can adjust and analyze the configuration file through a configuration editing and analyzing layer. A parameterized UI generation layer dynamically constructs UI components with tree hierarchical relationships based on the analyzed structured data, automatically configures interaction logic, data binding and professional field processing, realizes two-way synchronization of GUI and backend data, and finally outputs an interactive interface by a UI rendering layer. The application changes highly customized and fragmented UI development into an automated and standardized generation process, greatly improves development efficiency, guarantees the consistency of interface style and operation logic, significantly reduces maintenance cost, and enhances the flexibility of software function expansion.

This invention discloses a psychological assessment system based on heart rate variability analysis, belonging to the field of medical data analysis and psychological assessment technology. It solves the problems of existing heart rate variability analysis being limited to physiological indicators and traditional psychological assessments lacking objective physiological support. The system is built on a B / S architecture, integrating two core modules: ECG data reception and recording, and graphical analysis reports. It collects raw ECG data via Bluetooth 4.0, automatically calculates core heart rate variability feature values ​​such as SDNN, LF, and HF, achieves hierarchical and quantitative assessment of heart rate variability, and generates integrated graphical reports. It also features dual-layer access control, encrypted data transmission, and backup and recovery functions. This invention achieves deep integration of physiological data and psychological assessment, improving the scientific rigor and accuracy of psychological assessments. The system is highly stable and adaptable, suitable for clinical psychological screening, employee psychological monitoring, and other scenarios. The corresponding product, "Heart Rate Variability Analysis Software," has obtained a Class II medical device registration certificate.

This utility model relates to the field of mechanical manufacturing technology and discloses a preforming fixture, including a control cabinet and a lower support. A feeding device is mounted on the top surface of the lower support, a moving device is mounted on the right side of the feeding device, and an upper support is mounted on the bottom of the feeding device. An upper mold pressing and forming device is installed inside the upper support, and a moving scanning mechanism is mounted on the right side surface of the upper support. The control cabinet is mounted on the left side of the lower support. This preforming fixture uses multiple servo electric cylinders to perform multi-stage molding of torsion-shaped parts, and combines scanning equipment and analysis software to achieve automatic detection, analysis, and forming of the workpiece. The entire production process is fast, smooth, and precise, greatly improving production efficiency and reducing manual intervention. The equipment has been optimized in design, achieving miniaturization and lightweighting while ensuring functionality, adapting to the processing needs of torsion-shaped parts of various sizes, and reducing the equipment's footprint.

The present application relates to a kind of three-dimensional geological grid model to numerical analysis model conversion and attribute data mapping method, to improve the data conversion accuracy and efficiency between geological modeling and numerical analysis.The method includes the following steps: first, from the geological modeling software export includes grid geometry information and physical attribute first grid data file;By depth analysis, topological rearrangement and unit type matching and the method for accurately mapping physical attribute data generation second format file in line with the requirement of target software;Finally import second format file in numerical analysis software, automatically generate numerical analysis model has been endowed with initial attribute, complete from geological model to numerical analysis model seamless conversion.The present application is accurately mapped to the attribute data of target grid topological sequence, strictly aligns physical attribute data and geometric data, solves the attribute loss problem caused by topological rearrangement and geometry conversion in traditional method, so as to improve the accuracy and reliability of numerical analysis model.

This invention relates to a pufferfish TRPV1 inhibitory peptide, its preparation method, and its application. The amino acid sequence of the peptide is LDIF. The preparation method includes: 1. Enzymatically hydrolyzing pufferfish skin, then inactivating the enzyme, and screening for peptides with a molecular weight not greater than 1 kDa from the hydrolysate, followed by freeze-drying to obtain the pufferfish skin enzymatic hydrolysate peptide; 2. Performing mass spectrometry analysis on the pufferfish skin enzymatic hydrolysate peptide, using mass spectrometry analysis software, and selecting multiple non-repeating peptide sequences based on the criteria of confidence level -10lgP > 20 and amino acid count < 10; 3. Molecularly docking the selected peptide sequences with the TRPV1 receptor using software to select peptide sequences with strong binding affinity to the TRPV1 receptor; 4. Solid-phase synthesis of the selected peptide sequences to obtain the peptide LDIF. This invention uses pufferfish skin as raw material to obtain a peptide with good inhibitory effect on TRPV1, which can be used to prepare skin care products for soothing sensitive skin.

The invention discloses a pressurized water reactor fuel assembly damage position prediction method based on machine learning, and the method comprises the steps: building and training a machine learning model through a decision tree algorithm based on time evolution data of damaged primary loop nuclide concentration obtained by reactor core physical analysis software and evolution simulation calculation software; according to the method, a preprocessed multi-dimensional nuclide concentration stable value feature vector is taken as input, a prediction result of a damage position is taken as output, model overfitting is effectively controlled through pre-pruning and post-pruning strategies, generalization ability is ensured, the damage probability of each position can be provided, and prediction of the damage position of the pressurized water reactor fuel assembly is realized.

This invention discloses a calibration system and method for voltage amplitude, amplitude-frequency characteristics, and scanning speed of a medical electrocardiogram (ECG) signal monitoring device. The steps are as follows: placing a transparent ruler with scales on the screen of the monitoring device; inputting a standard square wave signal, sine wave signal, or ECG signal as required by the procedure into the monitoring device, displaying the input waveform on the screen; freezing the waveform on the screen; capturing a picture of the multi-parameter monitor screen using a camera to obtain a composite image of the waveform and the transparent ruler; and using image analysis software to obtain the voltage amplitude, amplitude-frequency characteristics, and scanning speed of the waveform signal in the composite image. This invention places a transparent ruler above the monitoring device screen, simultaneously acquiring the waveform on the screen and the ruler through photography or recording, and then using computer software for image processing, making the measurement data more intuitive and clear, improving measurement accuracy, and meeting the requirements for traceability to higher standards.

This application discloses a BIM-based automated design generation method for asphalt pavement structure combinations, comprising: constructing a rule base for asphalt pavement structure combination design schemes; automatically generating initial design schemes for pavement structure combinations based on the rule base; constructing a parametric model of the pavement structure based on BIM; establishing a data interaction module between the BIM model and simulation analysis software; analyzing and calculating the current pavement structure in the simulation analysis software to obtain response results; verifying the pavement structure design scheme based on BIM; analyzing and evaluating performance and economic indicators based on BIM; automatically generating the next set of schemes, iteratively optimizing to obtain a set of non-dominated solutions; and selecting the most suitable scheme for modeling. This application aims to achieve automatic generation, design, verification, and evaluation of road structure combinations in a BIM environment, helping designers explore the optimal road structure combination design schemes and improving design efficiency and quality.

Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and / or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

The present application relates to the technical field of water quality monitoring, in particular to a water quality residual chlorine online monitoring and optical alarm system based on DPD detection method, comprising a water quality multi-source data acquisition module for acquiring residual chlorine concentration and other multi-source water quality and process parameters; an edge computing module for fusion processing of multi-source data through its built-in data fusion and prediction analysis software system, outputting residual chlorine future change trend and risk probability by using a time series prediction model, and then dynamically mapping different risk levels and generating adaptive optical alarm control instructions; and an optical alarm module for driving a multi-color programmable light source unit according to the instructions to generate optical alarm signals with specific color, brightness, flashing frequency and mode combination strictly corresponding to the risk level. The present application realizes intelligent prediction and forward-looking hierarchical optical alarm of residual chlorine concentration, significantly improving the intelligent level and risk warning capability of water quality monitoring.

This invention discloses a method for calculating the head loss along the flow path of pressurized water pipelines. From the perspective of energy loss, the head loss along the flow path of pressurized water pipelines is redefined to include energy loss between the water body and the flow boundary, as well as energy loss within the water body. The friction coefficient in the Darcy-Weisbach formula is used... λ This parameter, which is related to the relative roughness of the wall and the Reynolds number of the flow, and which usually needs to be determined experimentally, can be converted into a constant that can be directly determined based on the physical properties of the pressurized water pipeline wall and the hydraulic properties of the water body. This eliminates the experimental steps and avoids the uncertainty of the calculation. The method of this invention does not require iteration and can be directly programmed for calculation, which greatly improves the calculation speed. It is suitable for large-scale pipeline hydraulic calculations, real-time simulations, and embedded systems. It solves the problem of engineers repeatedly calculating λ in variable flow design and can be easily applied to various design, optimization, and analysis software.

The application provides a kind of finished tire carcass cord prestress analysis method, comprising the following steps: S1, obtaining the machine head width value in tire forming process and the carcass cord length of finished tire;S2, separately modeling the carcass and inner liner part between the left and right bead centerline in material distribution diagram, establishing the first finite element model;S3, using simulation analysis software to divide finite element grid for the first finite element model, and performing inflation finite element analysis;S4, according to the inflation finite element analysis result, the stress size of each cord unit between the left and right bead is extracted in turn;S5, establishing the second finite element model, the carcass cord unit stress obtained in the first finite element model is applied to the second finite element model of finished tire as prestress, then the tire performance simulation analysis is carried out on the second finite element model, the tire performance analysis result under different cord prestress is obtained, and the subsequent product design and production process are adjusted accordingly.

The present application relates to quantum dot light emitting diode (QLED) device characterization technology, in particular to a kind of with quantum dot light emitting diode electroluminescence imaging method.The present application aims to study the relationship between light intensity and dynamic parameter distribution in QLED electroluminescence (EL) process, to guide the preparation optimization of QLED device.The present application successfully realizes the above function by combining function generator with traditional fluorescence imaging system.The innovation of prior art is that function generator is used to generate pulse voltage to excite QLED sample, and fluorescence imaging system is combined to detect the EL imaging of QLED, and the imaging result of EL dynamic parameter is obtained by analysis software fitting.Through the statistics of the spatial distribution of QLED EL dynamic parameter and luminous intensity, the key factors affecting luminous intensity can be identified, thereby effectively guiding the optimization preparation process of QLED device.

This invention discloses a remote intelligent inspection system for substations, belonging to the field of intelligent substation inspection technology. The system adopts a layered distributed architecture, consisting of front-end inspection equipment, a back-end server, data storage devices, and an intelligent analysis platform. The front-end inspection equipment is deployed at the substation site, responsible for collecting image and video data from the equipment and transmitting the data to the back-end server via a network. The back-end server runs intelligent analysis software to process, analyze, and store the collected data, enabling real-time monitoring and intelligent diagnosis of the substation equipment status. This invention proposes a dual-closed-loop deep collaborative architecture of "task pre-simulation verification closed loop" and "model co-evolution closed loop." Through this dual-closed-loop collaboration, this invention improves identification robustness in complex environments, reduces false alarms and missed alarms, and enhances the interpretability and quantifiability of inspection decisions.

User behavior-based AI test code generation system and method and a program performing the same disclosed. A non-transitory computer-readable medium storing computer executable instructions for performing a user behavior-based AI test code generation method when executed by a computer, wherein the computer program causes the computer to perform the following steps: recording a UI interaction related to a user behavior on an execution screen of software to be tested; analyzing a UI source of the software; inputting the recorded user behavior and an analysis result of the UI source to generate a test scenario through an LLM; and converting the test scenario into a test code corresponding to an executable test case.

This invention discloses a quality assurance system and verification method for afterloading radiotherapy. The system includes: an afterloading quality assurance verification phantom: used to simulate the actual application environment of afterloading radiotherapy under controlled conditions, comprising a pelvic simulation phantom and a measurement adaptation module for adapting different types of applicator devices and multiple types of dose measurement units; multiple types of dose measurement units: set at predetermined measurement positions within the afterloading quality assurance verification phantom, used to acquire different types of dose and time-related measurement data under the same geometric conditions; QA analysis software: used to generate a QA scheme for quality assurance that can be executed by the afterloading radiotherapy device, and to analyze the measurement data obtained by the multiple types of dose measurement units; and an afterloading radiotherapy device: connected to the applicator device adapted in the afterloading quality assurance verification phantom for executing the QA scheme.

This invention discloses a method for detecting the glycerol content of black soldier fly oil using thin-layer chromatography coupled with image analysis. This method addresses the significant polarity differences among triglycerides, diglycerides, and monoglycerides by employing a differentiated developing solvent system for effective separation. The content of monoglycerides / diglycerides / triglycerides is determined separately using a thin-layer chromatography silica gel plate combined with image analysis technology. This invention utilizes a self-developed bottom-emitting light box for standardized imaging, and combines image stacking noise reduction and self-developed analysis software to achieve digital quantification of spots. The operation is simple and efficient, requiring only consumables and imaging equipment readily available in a standard laboratory, making it suitable for convenient detection and analysis of glycerol content in situations lacking advanced instrumentation.

The application relates to the technical field of ultrasonic nondestructive testing, and discloses a phased array ultrasonic nondestructive testing device and method for angle steel detection. In view of the problems of complex geometric structure of the top corner area of the angle steel and large detection blind area, combined detection of a double linear array phased array ultrasonic probe is carried out through double linear scanning and double fan scanning, the single scanning range of the focused sound beam covers the whole top corner area of the angle steel, and adaptive adjustment of a sound beam signal acquisition gate is realized based on the geometric contour of the angle steel. During the detection process, the double linear array phased array ultrasonic probe synchronously and instantaneously collects ultrasonic detection signals along the length direction of the angle steel under the driving of an electromagnetic mobile scanner; combined with a detection and analysis software platform, data imaging processing is carried out on the collected signals, and the visualization identification, accurate positioning and size quantitative characterization of internal defects of the angle steel are realized. The application can effectively improve the coverage range, detection efficiency and imaging precision of internal defect detection of the L-shaped angle steel, and is suitable for high-reliability nondestructive testing of angle steel components.

The application belongs to the technical field of pressure control cementing, and discloses a high-precision, fast-response and dynamic pressure control offshore cementing system and method which can realize the whole process of offshore cementing without stopping the pump. The offshore cementing system without stopping the pump comprises a stepless variable speed cementing pump sled, an automatic plug cementing head, a manual throttle valve, a mud pump, a parameter acquisition device and a real-time analysis software for pressure control cementing. The stepless variable speed cementing pump sled is used for adjusting the injection displacement according to real-time control instructions to dynamically control the bottom hole pressure. The automatic plug cementing head is connected with the stepless variable speed cementing pump sled and is used for automatically releasing the rubber plug during the cementing process without stopping the pump. The manual throttle valve is arranged at the wellhead annulus outlet and is used for adjusting the wellhead back pressure. The mud pump forms a small circulation loop with the manual throttle valve and is used for compensating the wellhead pressure when the pump is unexpectedly stopped. The parameter acquisition device is used for collecting the wellhead pressure, displacement and fluid density data in real time. The real-time analysis software for pressure control cementing is used for calculating the equivalent circulating density at the bottom hole in real time based on the data of the parameter acquisition device and dynamically controlling the displacement of the stepless variable speed cementing pump sled and the start and stop of the mud pump.

The application discloses a large-size aerospace cabin section high-precision three-dimensional measuring device and a calibration method thereof. The device comprises an indoor global positioning system signal transmitter installed in a measuring space, an integrated measuring system auxiliary bearing arm installed at the end of an industrial robot, an indoor global positioning system signal receiver and a binocular structured light camera installed on the integrated measuring system auxiliary bearing arm, and an industrial wireless access point and a computer provided with a sensor Internet of Things client and measuring data acquisition and analysis software connected with each other. The calibration method can realize high-precision three-dimensional measurement of a large-size aerospace cabin section to realize quality detection, auxiliary assembly, three-dimensional reconstruction, digital twinning and the like of the large-size aerospace cabin section, has the characteristics of high precision, high automation, high flexibility, easy expansion and easy realization of multi-device collaborative detection, and can meet the requirements of three-dimensional appearance high-precision measurement and detection of large-size structural parts in the field of aerospace.

This invention relates to a method for measuring the thickness of the base metal of a corrugated beam steel guardrail. The measuring device mainly consists of a main structure, a data acquisition system, a display system, an operation button system, a plate thickness display device, a measurement adjustment device, and measurement acquisition and analysis software. Compared with the traditional method of using a micrometer and coating thickness gauge, which involves two separate measurements after determining the position, this device, based on the principle of a micrometer screw gauge and magnetic thickness measurement technology, achieves integrated measurement of the base metal thickness of the corrugated beam steel guardrail to meet actual testing needs. This avoids introducing errors, making the testing process simpler, more efficient, and more accurate, and has good applicability.

This invention discloses a qualitative and quantitative analysis method for heparin-like components in the biopharmaceutical field. The method includes using a liquid chromatograph, an SAX strong anion exchange column, sodium dihydrogen phosphate solution as mobile phase A, and mobile phase B consisting of mobile phase A containing sodium perchlorate, with gradient elution for monitoring and analysis. This invention improves the separation of heparin-like components by screening chromatographic packing materials, optimizing the chromatographic method, and optimizing the detection wavelength. It allows for accurate qualitative analysis of up to five heparin components using a simple liquid chromatography method. Furthermore, this invention incorporates the simulated separation function of the Glycomapping glycosylation software to reconstruct the elution peaks of components that do not reach baseline separation, and then achieves quantitative analysis of each separated component based on the external standard method. This qualitative and quantitative analysis method provides a feasible solution for component identification and content determination in heparin-like samples, and offers an important means for heparin quality control.

The application discloses a quantitative statistical method of precipitated phases in a nickel-based high-temperature alloy, and belongs to the field of material microstructure research and analysis. The quantitative statistical method of the nickel-based alloy precipitated phases provided by the application uses a thermodynamic analysis software to obtain a non-equilibrium solidification phase diagram of the alloy, determines the precipitated temperature interval and the precipitated sequence of each precipitated phase in the alloy, uses a DSC differential thermal analyzer to test a heat flow curve of the alloy, uses Origin to divide a precipitated phase spectrum peak of the heat flow curve, and integrates the spectrum peak to obtain a spectrum peak area, namely, the melting enthalpy of each precipitated phase, which represents the content of the precipitated phase in the alloy under different process conditions; comparison of the spectrum peak areas of the precipitated phases obtains the mass change of each main precipitated phase in the alloy before and after the process. The analysis process of the application is convenient and fast, the result is accurate, excellent effects are achieved in processing some complex eutectic phases, and the application has a very wide application prospect in nickel-based alloys and other metal materials.

The application provides a numerical simulation method and device for square pile hole forming effect simulation, and relates to the technical field of geotechnical engineering and pile foundation construction, which comprises the following steps: after grid division is performed on an integrated model, the integrated model is imported into numerical analysis software, material parameters are given to a slope in the integrated model, and boundary conditions are set; a particle flow model based on discrete elements is embedded in a preset drilling area of the integrated model to obtain a drill bit-stratum coupling numerical model; numerical simulation of rig drilling and square pile hole forming is performed on the drill bit-stratum coupling numerical model, and force data of the drill bit and deformation response data of a hole wall are obtained in real time; multi-parameter coupling analysis is performed on the force data of the drill bit and the deformation response data of the hole wall, and a drill bit cutting stress-hole wall displacement coupling relationship is established. Through establishment of a quantitative coupling relationship between drill bit cutting stress and hole wall displacement, the application can accurately predict the hole forming stability and adaptability of the rig, and improves the construction reliability of square pile hole forming.

This invention discloses a distributed CAN data remote acquisition and monitoring system and method, including an acquisition-end device, a cloud server, and a client device. The acquisition-end device has a built-in unique hardware identifier, encapsulates CAN data frames using a 10-byte fixed header protocol, and encodes the channel identifier in the high 8 bits of the CAN identifier, achieving single-link multi-channel transmission. Before establishing a TCP connection, the acquisition-end device actively triggers an ARP request, employing a three-retry connection establishment method with a 3-second interval between each retry to solve the ARP resolution failure problem in direct connection scenarios. The cloud server establishes a long TCP connection with the acquisition-end device, receives the encapsulated data, performs device authentication, and forwards the data. The client device connects to the cloud server via WebSocket to monitor CAN data in real time. This invention achieves remote centralized monitoring of CAN devices, hardware anti-cloning, multi-channel single-link transmission, automatic reconnection after disconnection, and is compatible with existing CAN analysis software. It is suitable for scenarios such as remote vehicle diagnostics, charging pile monitoring, and BMS data acquisition.

This invention discloses a characterization method for determining the glass fiber length distribution in recycled glass fiber reinforced nylon 6. The method includes: firstly, pulverizing and drying the sprue material of glass fiber reinforced nylon 6 injection molded products; then pretreating the sample with an organic solvent; next, placing the pretreated sample in a muffle furnace for pyrolysis to decompose the polymer matrix and separate the glass fibers; the resulting glass fibers are then oxidized and cleaned to remove residual carbon deposits, and then ultrasonically dispersed; finally, the fiber morphology is acquired by microscopic imaging, and the glass fiber length is measured and statistically analyzed using image analysis software to obtain its length distribution characteristics. This method can effectively separate glass fibers while maintaining their length characteristics, reducing fiber agglomeration and impurity interference, and improving the accuracy and stability of glass fiber length measurement results. It can be used for performance evaluation and quality control of recycled glass fiber reinforced nylon composite materials.

The application discloses a swelling soil slope sliding surface directional reinforcement method based on a microbial technology, relates to the technical field of geotechnical engineering, and comprises the following steps: S1, sliding surface position analysis: numerical analysis software is used to calculate the stability of a slope, and the position of the sliding surface of the slope under the action of gravity stress is predicted; S2, swelling soil preparation: swelling soil samples are selected, and first swelling soil and second swelling soil are prepared; the first swelling soil is swelling soil treated by a microorganism, and the shear strength and impermeability of the first swelling soil are higher than those of the second swelling soil; S3, layered filling and directional reinforcement: in the process of filling the slope model, the slope model is filled in layers; the first swelling soil is used to fill the region above the sliding surface, and the second swelling soil is used to fill the region below the sliding surface, so as to solve the problems in the prior art, through analysis of the position of the sliding surface, the swelling soil with higher shear strength and impermeability is used to fill the key region, and the optimization and improvement of the stability of the slope are realized.