14results about How to "Avoid data distortion" patented technology

The invention discloses a method and a system for automatically intercepting a high-frequency signal in a constant-speed operation section of mechanical equipment. The method comprises the following steps: acquiring signal data of the mechanical equipment; determining the size and the step length of a first sliding window processing window; performing sliding window processing on the original signal, calculating the variance of each window signal, and performing data compression to obtain a first signal; visually judging whether signals in different operation states in the first signals are in the same order of magnitude or not; determining the window size and step length of second-time window sliding processing; performing sliding window processing on the compressed first signal, calculating the variance of each window signal, and performing data compression to obtain a second signal; determining a threshold magnitude order of data distinguishing of the operation section and the non-operation section; finding out a starting point and an ending point of the operation section, and restoring to original signals to obtain operation section signals; calculating a central point of an operation section, calculating constant-speed operation time according to an actual working condition, and restoring to an original signal; and error analysis is carried out through a starting point and end point signal interception mode and a midpoint signal interception mode.

The invention is suitable for the technical field of building structure tests, and provides a test device and method for building structure stress design, and the test method for building structure stress design comprises the following steps: S1, starting the test device to carry out a loading experiment on a building steel structure, real-time state data of the building steel structure and the experiment device are obtained in the experiment process; and S2, a real-time state evaluation model of the building steel structure is constructed according to the relative corner of the nodes of the building steel structure, the maximum corrosion degree of the connection area and the pre-tightening degree loss rate of the connection nodes, and an overall damage index is output. According to the method, the real-time damage state of the building steel structure, the loading stability of the experimental device and the environmental interference factors are comprehensively evaluated in real time, and the evaluation results are fused into a comprehensive experimental deviation risk index.

In order to overcome the problems that the existing P-S-N curve solving method has small applicable range, low accuracy, and is limited in engineering application due to dependence on a large number of fatigue test data, the present application provides a P-S-N curve solving method for small sample fatigue test data. The present application first classifies and standardizes the fatigue life test data according to the stress level; then detects and eliminates the outliers in the data, and performs resampling judgment; then performs distribution test on the effective fatigue life data of each stress level to determine the distribution type of the overall test data; finally, the S-N curve of P at different survival rates is solved in combination with the distribution type, and the monotonicity is verified, and when the curve exists, the cross is eliminated by using the equal slope constraint to eliminate the cross phenomenon of the curve. The present application solves the problems of small sample fatigue test data, optimal distribution type of data, and P-S-N curve solving difficulty of violating the physical monotonicity rule of the prediction life.

This utility model belongs to the field of crop carbon conversion measurement technology, and specifically discloses a device for detecting the soil organic carbon activation effect of straw return to the field. It includes a planting unit, a first soil detection unit and a gas detection unit. Crops are planted in the planting unit, and then the liquid phase sample of the soil is detected in real time using the first soil unit. Then, the carbon content of the gas in the planting unit is detected using the gas detection unit, so as to obtain the dynamic changes of the organic carbon activation effect during the straw return process.

This utility model discloses a real-time atmospheric carbon source monitoring device within an ecological area, relating to the field of atmospheric monitoring equipment technology. It includes an equipment frame, an equipment box, an anemometer, and a monitoring mechanism. A cleaning mechanism is installed on the monitoring mechanism. The equipment box, anemometer, and monitoring mechanism are fixedly mounted on the equipment frame. The monitoring mechanism includes a base, a monitoring probe, a protective top, and a protective net. A support rod fixedly connected to the base is provided on the lower end face of the protective top. The monitoring probe is mounted on the upper end face of the base. The protective net is fixedly installed between the protective top and the base. The cleaning mechanism includes a cleaning rod, a bottom positioning ring, a top positioning ring, a first motor, and a blower. The cleaning mechanism is movably mounted on the upper end face of the base to clean the protective net. This utility model has the advantage of automatically cleaning the protective net, solving the problems of existing equipment requiring manual cleaning and low data accuracy.

The application discloses a photoelectric encoder code disc non-uniform error detection device, which comprises a machine body, a rotating table, a driving assembly, a abutting assembly and a linkage execution assembly, the top of the machine body is provided with an industrial camera for collecting code disc images, the driving assembly is arranged in the inner side of the rotating table and is in transmission connection with an external motor, the abutting assembly is in linkage with the driving assembly and is radially telescopic along the rotating table, the linkage execution assembly is movably arranged in the rotating table and is matched with the abutting assembly and the driving assembly, in the application, the code disc is placed on the rotating table, and the locking and constraint of the code disc and the rotation driving of the rotating table are sequentially executed by the same driving output end, so that the full-automatic control of reliable positioning of the code disc before image collection and accurate indexing of the code disc at a preset angle during the collection process is realized, and the time-sharing driving mode not only saves the tedious operation of manually adjusting the angle of the code disc or re-clamping the code disc, but also eliminates the positioning deviation and repetitive error caused by manual intervention.

The utility model discloses a motor vehicle license plate angle measuring instrument which comprises a horizontal ruler rod and an attaching rod, and one end of the horizontal ruler rod is hinged to one end of the attaching rod. A gradienter is arranged in the horizontal ruler rod to determine a horizontal reference surface; the attaching rod is a curve shape taking rod or a magnetic attraction rod, and the contact end of the attaching rod is provided with a deformable attaching layer or a magnetic attraction material so as to be tightly attached to the plane of the number plate. A digital angle sensor and a display unit are arranged at the hinged position of the horizontal ruler rod and the attaching rod, the angle sensor is electrically connected with the display unit, and the display unit can display included angle data measured by the digital angle sensor in real time. According to the method, data distortion caused by poor fitting is avoided, the problem that a traditional rigid tool cannot be fitted with a complex surface is solved, man-made misjudgment is reduced, and the accuracy and authority of the law enforcement and inspection process are ensured.

The invention discloses a wind power photovoltaic unit time sequence data processing method and system, and belongs to the technical field of wind power photovoltaic field sensor data governance, and the method comprises the steps: writing the original time sequence data of a wind power photovoltaic unit into a message queue in real time; reading time sequence data from the message queue; loading a quality inspection rule configured by the user; detecting time sequence data in real time based on the quality inspection rule to obtain abnormal data; according to the time sequence data processing method and system for the wind power photovoltaic unit, a stream-oriented computing framework is adopted, dynamic configuration and real-time updating of detection rules are supported, multiple data quality detection rules including out-of-limit detection, dead number detection, jumping detection, timeliness detection, interruption detection and multiplying power detection are combined, real-time quality inspection of time sequence data of a fan sensor is achieved, and the time sequence data of the wind power photovoltaic unit can be detected in real time. And abnormal data are automatically corrected based on an LSTM algorithm strategy, and detection parameters and a repair strategy can be adjusted without shutdown.

The invention provides an intention recognition method and system for programming technical issues, and belongs to the technical field of software engineering.The method comprises the steps that the programming technical issues of a target platform are collected and screened; performing intention annotation on the programming technical problem by adopting an iterative statistical sampling mode, and constructing a multi-level intention classification system to obtain a basic data set; performing data enhancement on samples in the basic data set based on a large language model to obtain an enhanced data set; and training an intention recognizer through the enhanced data set, and carrying out intention recognition on the to-be-tested programming technical problem through the trained intention recognizer. According to the method, the multi-level intention classification system is constructed and the intention recognizer is trained, so that understanding of deep semantics of programming technical problems is realized, the problem of category imbalance in a data set can be relieved through a data enhancement mechanism, and the intention recognition accuracy is improved.

The present application relates to the technical field of hydrogeology, and specifically discloses a geological surveying and mapping groundwater filtering sampling method, which collects optical characteristic parameters, electrochemical response signals, suspended matter distribution characteristics and pressure pulsation data of groundwater bodies in real time, establishes a consistent characteristic data set in time and space, identifies hydrogeological characteristic indexes and their change rules through multi-scale fluctuation characteristic extraction and synchronism analysis, constructs a hydrogeological characteristic profile of groundwater with sampling depth as the benchmark, matches and analyzes in combination with a typical hydrogeological mode spectrum, determines the representativeness and reliability level of the sampling point, and finally generates a sampling optimization scheme and a quality control report; the present application realizes closed-loop control from data collection to quality evaluation, solves the problem of insufficient data representativeness and reliability caused by chemical disturbance and lack of systematic quality control in traditional sampling methods, and improves the accuracy of groundwater sampling data and the reliability of geological interpretation.

The invention relates to the technical field of data fusion, in particular to a four-network fusion-oriented multi-source heterogeneous data management method, which comprises the following steps of: firstly, preliminarily determining a reduction factor when data of each traffic network source under a to-be-integrated data type is standardized; then irreplaceability of each traffic network source is measured from the perspective of uniqueness, sampling frequency accuracy and sampling frequency independence; further preliminarily integrating data of all traffic network sources to determine an integrated data sequence; on the basis of integrating the data sequence, analyzing a replacement real weight representing the rationality and authenticity of replacement when each reference network source data is selected at each multi-source data time point; and then calculating the data cleaning authenticity based on the replacement real weight of the reference network source and the overall distribution condition of irreplaceability under different data cleaning combinations, so as to determine the finally required fusion data sequence with higher authenticity and higher accuracy.

The application discloses a memory data recovery method in a high-temperature environment and relates to the technical field of data recovery.The method comprises the following steps: capturing a fault positioning capture network, detecting and identifying a fault data segment in the memory in a high-temperature environment, and generating a data recovery transmission channel and a recovery computer mechanism between the memory address space; at each node of the data recovery transmission channel, an interference correction mechanism is used to detect and correct transmission interference in real time, and the recovery computer mechanism is used to recover the fault data segment being transmitted in real time; when the task state of the data recovery transmission channel, the node or the recovery computer mechanism is idle, the computing resources occupied thereby are released and returned to the cloud, and the computing resources are intelligently scheduled. The method realizes accurate positioning of faults, dynamic allocation and scheduling of computing resources through the cloud, real-time detection and correction of transmission interference, and synchronous data recovery, thereby optimizing the overall recovery efficiency and ensuring the complete and accurate recovery of data.

The invention relates to the field of mechanics and mechanical engineering, in particular to a multi-station high-temperature dynamic compression fatigue test bed. According to the test bed, a lifting column is arranged on a base, a transverse plate is installed at the upper end of the lifting column, a center hole is formed in the center of the transverse plate and used for installing a flange linear bearing, and a through hole is formed beside the center hole and used for installing an eddy current displacement sensor; a thermal environment box is arranged between the base and the transverse plate; a temperature sensor is arranged in the thermal environment box; the upper end of the push rod is connected with the grinding block and penetrates through the guide plate, the spring and the flange linear bearing; the lower portion of the push rod penetrates through the top of the thermal environment box and is connected with a tool clamp arranged in the thermal environment box. A displacement measuring plate and a piezoelectric force sensor are arranged in the middle of the push rod; a T-shaped vertical bearing seat is arranged on the transverse plate; the multi-station transmission shaft is positioned and mounted in a radial rolling bearing of the T-shaped vertical bearing seat through a shaft shoulder; three cams are distributed on the multi-station transmission shaft at equal intervals, and the cams are in higher pair contact with the grinding blocks; a servo motor is arranged on the lifting seat; a rotating shaft of the servo motor is connected with a multi-station transmission shaft through a flexible coupling; and the control computer is used for collecting, analyzing and controlling. The device can accurately measure the vibration load and the dynamic displacement, is simple in structure and reasonable in design, and can perform loading test measurement on a plurality of samples at the same time.

The application relates to the technical field of alkali metal gas batteries, in particular to an in-situ determination device and method for the concentration of an oxidation-reduction medium in an alkali metal gas battery, which solves the problem that the existing determination method cannot simultaneously consider the sealing of the battery system, the electrochemical test demand and the in-situ optical characterization of the electrolyte, and comprises an electrolyte chamber, a movable carrier, a ring electrode assembly, a light window assembly, a gas path control assembly, a liquid injection sealing assembly and an ultraviolet-visible spectrophotometer. The structure cooperation of the ring electrode clamp and the detection light window provides an unobstructed light channel for the detection light path, realizes the complete compatibility of the electrochemical test and the optical quantitative detection, can synchronously obtain the electrochemical performance data and the oxidation-reduction medium concentration evolution data of the battery, provides direct experimental support for describing the oxidation-reduction medium mass transfer process and revealing the action mechanism.