16results about How to "Sensitive capture" patented technology

The invention discloses a multi-source heterogeneous data dynamic causal blood relationship tracing method and a related device, and belongs to the technical field of data blood relationship detection.The method comprises the steps that static blood relationship metadata and dynamic index time sequence data of aviation test data are collected, a dynamic causal blood relationship map is constructed, each edge of the map is associated with a causal strength weight, and the dynamic causal blood relationship is obtained; and reverse traceability is carried out through the dynamic causal blood relationship map, and root cause nodes causing abnormity are determined. Static consanguinity and dynamic indexes are collected, a dynamic causal consanguinity map with nodes as triads and edges carrying causal strength weights is constructed, and dynamic attributes of the map break through static relevance limitation, so that traceability can reveal state change and causal dynamics; the influence degree between nodes is quantized by introducing a causal strength weight, and the root cause is determined by combining a probabilistic reasoning model, so that the spanning from fuzzy association to quantitative positioning is realized, and the problems that the root cause positioning is fuzzy and is lack of quantitative analysis are solved.

The invention provides an anti-interference measurement method and system for grounding grid parameters in a strong interference environment, and belongs to the technical field of grounding device parameter measurement. The method comprises the following steps: constructing a multi-physics field coupling theoretical model, and integrating a high-precision clock synchronization and wireless communication high-fidelity sensor network; phase and amplitude errors in signal transmission are effectively eliminated through an anti-interference and fidelity processing mechanism, and finally the grounding resistance and related electrical characteristics are calculated by solving a parameter equation set derived from a theoretical model. According to the invention, by constructing a multi-physics field coupling theory model and designing a high-fidelity sensing network, and combining a distributed clock synchronization technology and an anti-interference signal processing mechanism, accurate, portable and safe measurement of the grounding resistance of the tower at a strong interference power transmission line site without power failure and disconnection of a down lead is realized. According to the invention, the risk of operating high-voltage equipment and the complexity of burying the auxiliary electrode in the traditional measurement are thoroughly avoided.

The invention relates to the technical field of straightening equipment, and discloses an automatic matching straightening machine for shaft workpieces, which comprises a machine body, a plurality of linear sliding rails for a plurality of mechanisms to linearly move are arranged on the machine body, and strip-shaped tooth grooves matched with moving gears are formed in the two sides of the interior of the machine body; one side of the machine body is provided with a PLC (Programmable Logic Controller) control cabinet for calculating input shaft workpiece data information and generating a control signal, and the PLC control cabinet is used for controlling each mechanism on the machine body in an operation process. By adding and arranging the movable detection mechanism, when the shaft workpiece is straightened, the movable detection mechanism adopts a lever type detection structure, can be tightly attached to the surface of the shaft workpiece, sensitively captures bending deformation information of the workpiece, realizes accurate acquisition of deformation, avoids subjectivity and errors of manual detection, and improves the straightening accuracy of the shaft workpiece. And full-length movement detection can be realized along a linear sliding rail, all parts of the shaft workpiece are covered, and the condition of missing detection of a deformation position is avoided.

The invention relates to the technical field of engineering structure health monitoring, in particular to an electric power engineering drainage box culvert monitoring system, a construction method and a monitoring method. The monitoring system comprises a monitoring element and a data processing unit; the monitoring element comprises a strain sensor and a temperature sensor which are arranged on the inner side of a reinforcement cage of the drainage box culvert; the static leveling instrument is arranged on the concrete surface of the drainage box culvert; the single-axis clinometers are arranged on the central axis of the top plate and the side wall of the drainage box culvert; the flow velocity sensor is fixed on the internal section of the drainage box culvert through a bracket; and the strain sensor, the temperature sensor, the static leveling instrument, the single-axis clinometer and the flow velocity sensor are all connected with the data processing unit. According to the system, the technical problems of discontinuous monitoring, incomplete parameters, weak data association and the like in long-term health monitoring of the large drainage box culvert are solved, and real-time and accurate evaluation and early warning of the safety state of the box culvert are realized.

The utility model provides a battery device, a power utilization device and an energy storage device, and belongs to the technical field of batteries. The battery device comprises a battery monomer, a box body and a sensor, wherein the battery monomer comprises a first pressure relief structure; the box body comprises a frame, a second pressure relief structure, a first assembly and a second assembly; the second pressure relief structure is arranged on the frame, and the first assembly is connected with the frame and is opposite to the first pressure relief structure; the first assembly and the frame define a battery bin and an electrical bin which are arranged at an interval, the electrical bin is located on the side, close to the second pressure relief structure, of the battery bin, and the single batteries are located in the battery bin; the first assembly is provided with a first channel communicated with the battery compartment; the second assembly is arranged in the electrical bin and connected with the first assembly and the frame. The second assembly is provided with a second channel communicating with the first channel and the second pressure relief structure. The sensor is arranged in the second channel and used for collecting smoke information of the second channel. According to the invention, the sensitivity and accuracy of smoke monitoring can be improved.

The invention relates to the technical field of chemical monitoring, in particular to an N-methylaniline impurity online spectrum monitoring device which comprises a bottom rack, a plurality of glass boxes are evenly arranged on the bottom rack in the length direction, the glass boxes sequentially have different deflection angles, and the deflection angle difference values of the adjacent glass boxes are equal; by arranging the multi-angle deflection glass box, static and multi-angle static monitoring of N-methylaniline is realized, spectral characteristics of impurities in different directions can be effectively captured, and slow rotation of the glass box further drives the internal N-methylaniline to change angles, so that a light source can fully irradiate, and the detection accuracy is improved. Impurities possibly hidden due to local gathering are repeatedly exposed in dynamic rotation, a monitoring blind area is eliminated, the comprehensiveness of impurity detection is remarkably enhanced through the steps, and the accuracy of a monitoring result can be greatly improved especially for trace impurities which are not evenly distributed.

The application discloses a cell traction force and microenvironment pH synchronous in-situ detection method based on Raman spectrum. Gold nanoparticles solution and thiol-modified polystyrene microsphere dispersion liquid are mixed to assemble gold nano clusters; 4-thiopyridine is modified to be a SERS probe; the SERS probe is mixed with a hydrogel prepolymer solution, the surface of the polymerized hydrogel is modified with fibronectin, and the living cells to be detected are inoculated; the substrate Raman spectrum is acquired and a heat map is drawn, the probe displacement is characterized according to the heat map change, and then the cell traction force size is characterized, and the cell microenvironment pH is characterized according to the characteristic peak intensity ratio in the Raman spectrum. The application realizes the essential fusion of the traction force microscope technology and the surface enhanced Raman scattering technology from the detection mechanism level, the detection dimension is expanded to the synchronous acquisition of the mechanical and biochemical information, so that the potential force-chemical coupling mechanism in the cell behavior process can be revealed.

This invention relates to the field of fault early warning technology, and provides a method and system for early warning of faults in large oil-filled equipment, comprising: Step 1, collecting acoustic fingerprint data throughout the entire lifecycle of the large oil-filled equipment and constructing an acoustic fingerprint sample set; Step 2, preprocessing the acoustic fingerprint sample set, extracting acoustic fingerprint feature parameters, and establishing a standardized acoustic fingerprint database; Step 3, constructing a multi-channel deep learning acoustic fingerprint recognition model and a discharge severity assessment model based on deep learning; Step 4, based on the output of the trained acoustic fingerprint recognition model and combined with a preset multi-level early warning threshold system, performing real-time assessment of the operating status of the large oil-filled equipment, and generating corresponding early warning information when the assessment result meets the early warning triggering conditions; Step 5, pushing the early warning information to the operation and maintenance terminal, and automatically generating operation and maintenance suggestions based on the defect type and severity. This invention can effectively provide early warning of faults in large oil-filled equipment.

This invention provides a method and system for determining emergency transport routes. The method includes: acquiring multi-source heterogeneous data of patients to be transported during emergency transport, including vital sign time-series data, transport node location data, and structured medical record data; inputting the multi-source heterogeneous data into a shared latent space projection network to obtain multi-source aligned data with data distribution alignment; inputting the vital sign aligned data from the multi-source aligned data into a reinforcement learning controller to obtain the dynamic weights of each vital sign component in the vital sign aligned data, and determining the disease risk level of the patient to be transported based on the dynamic weights; acquiring a global path planning model trained based on a federated learning framework, and inputting the disease risk level and the multi-source aligned data into the global path planning model to obtain the target transport route. This invention improves the safety and personalization of emergency transport.

This application discloses a PCB board testing mechanism, relating to the field of PCB board testing technology. It includes a main body, a slider, and a through-hole. The main body has a placement groove on its upper side. Two sets of uprights arranged symmetrically around the center are fixedly connected to the upper diagonal of the main body. A lifting groove is formed on the inner side of each upright. The slider is slidably connected to the inner side of the lifting groove. A pressing mechanism is installed on the outside of the uprights, and a detection mechanism is installed on the outside of the slider. The through-hole is located on the upper side of the placement groove, and a heating mechanism is installed inside the main body. In a single operation, this device accurately measures the PCB thickness by pressing down with a pressure block, while simultaneously using hot air heating and real-time monitoring of pressure changes to directly determine its thermal expansion trend, achieving efficient and simultaneous detection of thickness and thermal expansion performance.

The application discloses a kind of to be implanted with data envelopment analysis and carry out ventricular assist system failure prediction method.The method is based on the weekly operation state of implantable ventricular assist system and constructs independent decision unit, obtains the original multidimensional data covering equipment, physiology and clinical dimension.After the original data are carried out missing value filling, abnormal value correction and standardization preprocessing, input by BCC model and super-efficiency DEA model constitute combination model and carry out efficiency measurement.BCC model is used to preliminarily screen out abnormal decision unit, and the optimal super-efficiency value is calculated by super-efficiency DEA model.Based on the super-efficiency value and its change trend along with monitoring period, combined with the preset two-stage early warning threshold, envelope analysis is carried out, and graded failure early warning signal is generated.Projection analysis is carried out on the unit triggering early warning, and the input index redundancy rate is calculated to sort and locate the failure cause.The application realizes early and accurate prediction and cause quantification analysis of LVAD failure.

The application relates to the technical field of quality management and statistical process control, and provides a joint monitoring and abnormality diagnosis method for quality assurance claim quantity and amount. In each monitoring period, the quality assurance claim quantity of the current period is counted, and the weekly increment of the claim amount is calculated according to the claim quantity as a monitoring statistic; the benchmark parameter is determined based on historical data, the empirical distribution is generated by deducing the theoretical distribution through numerical integration or Monte Carlo simulation in combination with a compound Poisson process, and the dynamic upper control limit is determined according to the significance level; the current increment amount is compared with the control limit, and an alarm is given if the current increment amount exceeds the control limit; candidate variable points are constructed based on the data before the alarm, the abnormal time is determined through maximum likelihood estimation, the candidate models are compared through the Bayesian information criterion, and the optimal model is selected to determine the abnormal type. The joint monitoring and abnormality diagnosis problem under the conditions of highly heterogeneous product base and multiple time variations is solved, dynamic monitoring under the control of the false alarm rate of each monitoring period, abnormal time point estimation and cause identification are realized.

The invention discloses a nondestructive testing method and system for grouting compactness of a prefabricated bridge pier duct, particularly relates to the technical field of nondestructive testing of materials, and is used for solving the problem that an existing ultrasonic testing technology is insensitive to microcosmic nonuniformity response of a grouting material. The method comprises the following steps: transmitting a first fundamental frequency ultrasonic incident signal into a prefabricated bridge pier duct, collecting a reflection echo signal, repeatedly executing to obtain a plurality of echo signals, calculating a coherence coefficient, and judging whether the coherence coefficient is higher than a preset threshold value or not to perform macroscopic defect screening. When the coherence coefficient is higher than the threshold value, at least one second fundamental frequency ultrasonic incident signal is emitted, corresponding echo signals are collected, the waveform asymmetry coefficient of each echo signal is calculated, and finally the microcosmic non-uniformity of the grouting material is evaluated based on the variation trend of the waveform asymmetry coefficients under different fundamental frequencies. And comprehensive grouting quality evaluation from macroscopic to microscopic is realized.

The application provides a water conservancy structure leakage monitoring system and method, and the system comprises: an active heating control module, which applies a controllable thermal excitation to a grating array temperature sensing module; the grating array temperature sensing module generates a temperature distribution of a region to be measured, and the temperature distribution comprises a reference temperature distribution before the controllable thermal excitation is applied, a heating temperature distribution during the controllable thermal excitation is applied, and a cooling temperature distribution after the controllable thermal excitation is stopped; a leakage identification module, which determines a temperature-time response curve based on the reference temperature distribution, the heating temperature distribution and the cooling temperature distribution, extracts a temperature rise rate, a maximum temperature rise amplitude, a peak time, a cooling rate and a thermal time constant in the temperature-time response curve, determines a comprehensive discrimination index based on the above parameters, and determines whether the water conservancy structure has leakage based on the comprehensive discrimination index. The application improves the sensitivity and accuracy of leakage monitoring.

This invention discloses a servo motor speed control method and apparatus based on predictive model optimization, relating to the field of motor control technology. The method includes: acquiring gradient data by collecting servo motor operating state data at a high sampling rate using an electrical power device; analyzing the gradient data using a pre-trained predictive model to obtain peak gradient data; outputting a predicted transient adhesion resistance value of the servo motor based on the peak data and a dynamic detection threshold; inputting the predicted resistance value into a feedforward controller to generate a feedforward control command containing a compensation torque; monitoring the servo motor's operating state and adjusting the input parameters of the PID controller according to the operating state using a fuzzy algorithm to output an initial control command; and combining the feedforward control command and the initial control command to generate a speed control command. Through the organic combination of feedforward and feedback, the servo motor can achieve faster, smoother, and more precise speed control under high speed, high load, and complex operating conditions.

This invention discloses a method for predicting LVAD (Large-Invasive Ventricular Assist System) faults using Data Envelopment Analysis (DEA). The method constructs independent decision-making units (DIUs) based on the weekly operational status of the LVAD, acquiring raw multi-dimensional data covering equipment, physiological, and clinical dimensions. After imputation of missing values, correction of outliers, and standardization preprocessing of the raw data, the data is input into a combined model consisting of a Base-Cut-Controlled Decision-Making (BCC) model and a Super-Efficiency DEA model for efficiency calculation. Abnormal decision-making units are initially screened using the BCC model, and the optimal super-efficiency value is calculated using the super-efficiency DEA model. Based on this super-efficiency value and its trend over the monitoring period, envelope analysis is performed using preset two-level warning thresholds to generate graded fault warning signals. Projection analysis is performed on the units that trigger warnings, and the redundancy rate of input indicators is calculated to rank and locate the causes of faults. This invention achieves early and accurate prediction and quantified analysis of LVAD faults.